Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
type: channel
description: Subjects Area : Ilmu Komputer, Sistem Informasi, Rekayasa Perangkat Lunak, Interaksi Manusia dan Komputer, Sistem Berbasis Pengetahuan, E-Commerce
publisher: Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI
language: en
publication name: Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
issn: 2715-8756
items: Sistem Pendukung Keputusan untuk Pemilihan Mobil Bekas Terbaik dengan Metode AHP pada Showroom Bin Mahmoed Motor
items: Penerapan Metode Indobert untuk Deteksi Berita Hoaks pada Media Digital Berbahasa Indonesia
items: Penerapan Algoritma KMP dalam Pencarian Data Sertifikasi ISO PT Era Kualitas Informasi
items: Implementasi Sistem Perpustakaan Digital dengan Fitur Peminjaman Buku Berbasis Barcode untuk Meningkatkan Efisiensi dan Akurasi di MTS NU 01 Pecalungan
items: Implementasi dan Pengujian Performa Server High Availability Menggunakan Metode Horizontal Scaling dengan Studi Kasus: Marketplace XYZ
items: Analisis Strategi Penerimaan Peserta Didik Baru Menggunakan K-Means Clustering dengan Optimasi Elbow
items: Sistem Pendukung Keputusan dalam Menentukan Kepuasan Masyarakat Terhadap Pelayanan di Kelurahan Kebon Pala dengan Metode TOPSIS
items: Penentuan Jumlah Produksi pada CV Rairaka Konveksi Menggunakan Metode Fuzzy Tsukamoto
items: Implementasi Metode Forward Chaining untuk Deteksi Dini Serangan Jamur pada Tanaman Padi Berdasarkan Gejala Visual
items: Implementasi Algoritma Apriori Untuk Prediksi Pola Penjualan Produk Fashion pada Toko Innari G-Style
items: Software Quality Tourism Industry: Analisis Aplikasi Mobile Nusatrip dengan Metode System Usability Scale (SUS)
items: Perancangan Aplikasi Deteksi Plagiarisme dengan TF-IDF dan Cosine Similarity
items: Sistem Pakar Pendeteksi Kerusakan Sepeda Motor Matik Injeksi Menggunakan Metode Forward Chaining
items: Analisis Prediktif Dropout Mahasiswa Berdasarkan Kinerja Akademik Semester Awal Menggunakan Machine Learning
items: Sistem Monitoring Suhu Dan Humidity pada Data Center PT Elga Yasa Media Menggunakan IoT
items: Network Automation dengan Metode NDLC Menggunakan Bahasa Pemrograman Python
items: Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik dengan Metode Simple Additive Weighting (SAW) pada PT Satria Antaran Prima (SAP)
items: Perancangan Pembelajaran Online dengan Fitur Simulasi Tes Kerja Menggunakan Metode Simple Additive Weighting (SAW) pada SMK Ganesa Satria 2 Depok
items: Analisis Sentimen Kenaikan Pbb Berbasis Tiktok Menggunakan Support Vector Machine
items: Sistem Pendukung Keputusan Penerimaan Karyawan Baru pada PT Kalingga Prima Bangun Setia dengan Metode SAW
items: Sistem Pendukung Keputusan Pemilihan Beasiswa SMAN 1 Cibinong dengan Metode AHP
items: Sistem Pendukung Keputusan Penentuan Stok Kebutuhan Barang Berbasis Web dengan Meninjau Tren Penjualan di Toko Prima Subang
items: Pengembangan Sistem Informasi Rapor Online di SD Inpres 25 Fanindi-Manokwari
items: Sistem Pendukung Keputusan untuk Pengadaan Alat Kesehatan terhadap Klien PT Citra Naya Medika dengan Metode AHP
items: Sistem Pendukung Keputusan Menentukan Karyawan Terbaik pada Yayasan Bunda Hati Kudus Menggunakan Metode AHP
items: Sistem Pakar Diagnosa Penyakit Lambung dengan Metode Forward Chaining
items: Sistem Pengelolaan Toko Hewan Peliharaan Petify Berbasis Website
items: Rancang Bangun Aplikasi Snack Market Berbasis Android Pada PT Qtera Mandiri
items: Sistem Pendukung Keputusan Pemberian Bantuan Sosial Warga Kelurahan Pakansari dengan Metode SAW
items: Sistem Pengambilan Keputusan Penerimaan Beasiswa Sekolah Non Formal dengan Metode SAW

Sistem Pendukung Keputusan untuk Pemilihan Mobil Bekas Terbaik dengan Metode AHP pada Showroom Bin Mahmoed Motor
type: item
description: This research aims to analyze the used car market using the Analytical Hierarchy Process method to select the best used cars at the Bin Mahmoed Motor Showroom. This study employs a literature review, interviews, and observations to collect data. The research findings indicate that the implementation of AHP in the decision support system can augment the comprehension of this methodology within the automotive sector and elevate customer satisfaction by delivering precise and customized recommendations. The system developed using HTML, CSS, JavaScript, PHP, and MySQL ensures that criteria such as price, year, fuel consumption, and capacity can be effectively integrated, thereby facilitating the process of selecting used cars more quickly and accurately.
subject: Articles
  topic: section
subject: Sistem Pendukung Keputusan
  topic: keywords
subject: Kepuasan Pelanggan
  topic: keywords
subject: Analytical Hierarchy Process
  topic: keywords
subject: Mobil Bekas
  topic: keywords
creator: Sultan Badai Ady Dewa
creator: Dewi Anjani
creator: Lies Sunarmintyastuti
rights: Copyright (c) 2026 Sultan Badai Ady Dewa, Dewi Anjani, Lies Sunarmintyastuti (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
doi: 10.30998/evzs2329

Penerapan Metode Indobert untuk Deteksi Berita Hoaks pada Media Digital Berbahasa Indonesia
type: item
description: This study focuses on the implementation of the IndoBERT method for detecting hoax news in Indonesian digital media and examining the model’s performance and generalization ability. The dataset consists of primary data obtained from a Kaggle dataset and secondary data collected through web scraping from various sources, which are then combined and preprocessed. The model is trained using a fine-tuning approach with variations in parameters such as learning rate, batch size, and epoch to achieve optimal results. The experimental results indicate that the best configuration is achieved at epoch 4, learning rate 5e-5, and batch size 16, producing an accuracy of 0.9868 along with the lowest validation loss. Evaluation using a confusion matrix shows a relatively low error rate for both classes. Testing on new data reveals that the model correctly classifies 26 out of 30 samples, indicating good generalization capability, although some misclassifications still occur in factual news that share similar characteristics with hoaxes.
subject: Articles
  topic: section
subject: IndoBERT
  topic: keywords
subject: deteksi hoaks
  topic: keywords
subject: klasifikasi teks
  topic: keywords
subject: fine-tuning
  topic: keywords
subject: natural language processing
  topic: keywords
subject: Artificial Intelligence
  topic: disciplines
creator: I Gede Bagus Surya Wibawa
creator: I Nyoman Eddy Indrayana
creator: Made Pasek Agus Ariawan
rights: Copyright (c) 2026 I Gede Bagus Surya Wibawa, I Nyoman Eddy Indrayana, Made Pasek Agus Ariawan (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
doi: 10.30998/94zt3k10

Penerapan Algoritma KMP dalam Pencarian Data Sertifikasi ISO PT Era Kualitas Informasi
type: item
description: This research aims to address the issues occurring at PT Era Kualitas Informasi in ISO certification database management so that it can be organized neatly, systematically, quickly, and accurately in searches. In the development of this system, the researcher used the Knuth-Morris-Pratt algorithm implemented with the NetBeans IDE 8.2 software and MySQL database. The Knuth-Morris-Pratt algorithm is one of the algorithms used in string searching. This research implements the Knuth-Morris-Pratt algorithm in the string search process for ISO certification data retrieval. The research methodology used in the ISO certification data processing system includes data collection techniques such as interviews with relevant parties and documentation to obtain the necessary information. Additionally, the researchers also conducted literature research relevant to the issues of the ISO certification data search system. After conducting research, analyzing the problems, and resolving the proposed issues, the researchers concluded that the existing system is still operated using simple applications like Microsoft Office. Therefore, by building a client database system at PT Era Kualitas Informasi, it will facilitate the data entry department in carrying out its tasks.
subject: Articles
  topic: section
subject: Algoritma Knuth-Morris-Pratt
  topic: keywords
subject: Pencarian Data
  topic: keywords
subject: NetBeans
  topic: keywords
creator: Rossa Arganita Pradana
creator: Achmad Sarwandianto
creator: Ambar Tri Hapsari
rights: Copyright (c) 2026 Rossa Arganita Pradana, Achmad Sarwandianto, Ambar Tri Hapsari (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
starting page: 298
ending page: 306
doi: 10.30998/f1hfk035

Implementasi Sistem Perpustakaan Digital dengan Fitur Peminjaman Buku Berbasis Barcode untuk Meningkatkan Efisiensi dan Akurasi di MTS NU 01 Pecalungan
type: item
description: This study aims to develop and implement a barcode-based digital library system at MTS NU 01 Pecalungan, to improve service time efficiency and accuracy in data recording. The method used is a mixed-method sequential explanatory design, with two stages: quantitative and qualitative. In the quantitative phase, system testing was conducted to obtain data that would later be used to compare processing time and data accuracy levels between when using manual and barcode-based systems. The results showed an increase in time efficiency from an average of 122.4 seconds to 33 seconds for borrowing and data accuracy from 82% to 97%. Functional testing of this system used Blackbox testing to test all features in the system, ensuring all features run well. Meanwhile, the results of the analysis of the questionnaire with 82 respondents showed that the majority of users were satisfied with this system, with a level of accuracy of satisfaction classification using the Naive Bayes algorithm of 82.35%. It can be concluded that the implementation of the barcode system effectively increases the efficiency of school library services.
subject: Articles
  topic: section
subject: Mixed-methods Sequential Explanatory
  topic: keywords
subject: Perpustakaan Digital
  topic: keywords
subject: SDLC
  topic: keywords
subject: Software Engineering
  topic: disciplines
subject: Digital Library
  topic: disciplines
subject: Educational Technology
  topic: disciplines
creator: Nadya Angelica Wimara
creator: Iwan Setiawan Wibisono
rights: Copyright (c) 2026 Nadya Angelica Wimara, Iwan Setiawan Wibisono (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
doi: 10.30998/zh0x2423

Implementasi dan Pengujian Performa Server High Availability Menggunakan Metode Horizontal Scaling dengan Studi Kasus: Marketplace XYZ
type: item
description: Online marketplaces have become popular among the Indonesian public lately. This trend has an impact on the increasing visitor traffic, making the server's performance in handling requests heavier. Another impact that arises is the decline in web server performance accompanied by lag or network disruptions that cause web page responses to become slow. This issue can be addressed using load balancing, which is a method that distributes traffic across multiple servers to prevent load accumulation on a single server. Testing 10,000 requests with Apache Bench resulted in a response time of 7.725 ms for a server cluster (3 servers) using the round-robin algorithm. In comparison, the least connection algorithm produced a response time of 7.496 ms, while a single server resulted in 119.656 ms. In a stress test using JMeter with 10,000 requests, the server cluster produced a response time of 60 ms, while a single server resulted in 39.418 ms. In the failover implementation, load balancing works well in distributing requests to the available servers, ensuring that even during high traffic or server failures, the system maintains optimal performance and minimizes response times. Failover is the process of redirecting requests from a dead/broken server to another active server.
subject: Articles
  topic: section
subject: Load balancing
  topic: keywords
subject: Marketplace Daring
  topic: keywords
subject: Web Server
  topic: keywords
subject: Failover
  topic: keywords
subject: Algoritma round-robin dan least connection
  topic: keywords
subject: Informatics
  topic: disciplines
subject: Software Engineering
  topic: disciplines
subject: Ops
  topic: disciplines
creator: Achmad Nur Fauzy
creator: Muhammad Anis Al Hilmi
creator: Ilman Kadori
rights: Copyright (c) 2026 Achmad Nur Fauzy, Muhammad Anis Al Hilmi, Ilman Kadori (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
doi: 10.30998/nv5r9785

Analisis Strategi Penerimaan Peserta Didik Baru Menggunakan K-Means Clustering dengan Optimasi Elbow
type: item
description: New Student Admission is an annual routine activity at schools, including SMP Citra Negara Depok. Every year, the school receives a large amount of registration data, but it has not been optimally utilized to determine the new student admission strategy for the following year, resulting in a decrease in the number of applicants. This study aims to cluster effective new student admission strategies using the K-Means clustering method optimized with the Elbow method and min-max normalization. The dataset used is derived from the registration data for the 2021–2022 and 2022–2023 academic years, with attributes including school name, number of classes, number of registrants, and difference. The Elbow Method results indicate that the optimal number of clusters is three. The K-Means process stops at the 7th iteration out of a maximum of 10 iterations. The clustering results in three strategies: a 55% discount during the October–December period, a brochure distribution strategy, and a 50% discount during the January–June period. The research findings indicate that the K-Means method optimized with the Elbow Method can help determine a more effective new student admission strategy for the school.
subject: Articles
  topic: section
subject: Clustering
  topic: keywords
subject: Metode Min-Max
  topic: keywords
subject: Optimasi Metode Elbow
  topic: keywords
subject: Data Mining
  topic: keywords
subject: K-Means Clustering
  topic: keywords
subject: Strategi PPDB
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Abdul Hadi
creator: Decky Ryansyah
creator: Goenawan Brotosaputro
rights: Copyright (c) 2026 Abdul Hadi, Decky Ryansyah, Goenawan Brotosaputro (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
doi: 10.30998/b4efjt07

Sistem Pendukung Keputusan dalam Menentukan Kepuasan Masyarakat Terhadap Pelayanan di Kelurahan Kebon Pala dengan Metode TOPSIS
type: item
description: Public satisfaction assessment of services is one of the important indicators in improving service quality in government institutions, especially at the sub-district level. However, the Kebon Pala sub-district still conducts the evaluation of public satisfaction conventionally and subjectively because it has not yet used a structured decision-making method. This research aims to build a decision support system to determine the level of community satisfaction with services in Kebon Pala Village using the Technique for Order of Preference by Similarity to Ideal Solution method. The TOPSIS method is used to process community satisfaction data based on several service criteria, namely service time, staff friendliness, availability of facilities, clarity of information, and certainty of time and procedures. Research data were obtained through observation, interviews, and the distribution of questionnaires to the community receiving the service. The research results indicate that the system developed is capable of generating preference values and ranking the level of public satisfaction objectively and measurably, thus helping the sub-district authorities in evaluating service quality and determining priorities for public service improvements
subject: Articles
  topic: section
subject: Sistem Pendukung Keputusan
  topic: keywords
subject: Pelayanan Publik
  topic: keywords
subject: Kepuasan Masyarakat
  topic: keywords
subject: Technique for Order of Preference by Similarity to Ideal Solution
  topic: keywords
creator: Dimas Kurniawan
creator: Rayung Wulan
creator: Bondan Dwi Hatmoko
rights: Copyright (c) 2026 Dimas Kurniawan, Rayung Wulan, Bondan Dwi Hatmoko (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
starting page: 270
ending page: 279
doi: 10.30998/tyembb21

Penentuan Jumlah Produksi pada CV Rairaka Konveksi Menggunakan Metode Fuzzy Tsukamoto
type: item
description: The CV Rairaka Konveksi system is currently still using a manual system. This causes the production quantity to be inaccurate due to demand uncertainty and fluctuations in raw material supply. There is a need for efforts to ensure that the production quantity can be calculated accurately. This research aims to design and build a decision support system to assist the CV Rairaka Konveksi in determining the optimal production quantity. The fuzzy Tsukamoto method is used because of its ability to handle uncertain data and provide output in crisp form. The research was conducted through stages of observation, interviews, system design, implementation, and testing. The system is designed with two input variables, namely demand and supply, and one output variable in the form of production quantity. The results of the testing by user application testing show that the system built is capable of providing accurate and efficient production quantity recommendations.
subject: Articles
  topic: section
subject: Sistem Pendukung Keputusan
  topic: keywords
subject: Jumlah Produksi
  topic: keywords
subject: Fuzzy Tsukamoto
  topic: keywords
creator: Sindi Apriantika Sari
creator: Abdurahman
creator: EK Ajeng Rahmi Pinahayu
rights: Copyright (c) 2026 Sindi Apriantika Sari, Abdurahman, EK Ajeng Rahmi Pinahayu (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
starting page: 260
ending page: 269
doi: 10.30998/cwvz6570

Implementasi Metode Forward Chaining untuk Deteksi Dini Serangan Jamur pada Tanaman Padi Berdasarkan Gejala Visual
type: item
description: In Indonesia, Oryza sativa is a major food commodity, and disease attacks, particularly those caused by fungal infections, greatly affect its productivity. Fungal infections in rice plants are often difficult to detect early due to the similarity of visual symptoms among different types of diseases and the limited knowledge of farmers. This research aims to implement an expert system that uses the forward chaining method to detect fungal attacks on rice plants early, based on visual symptoms. The forward chaining method is used as an inference mechanism by utilizing IF–THEN rules compiled based on interviews with agricultural experts and literature studies. The expert system was developed in the form of a web-based application and designed using UML modeling. The data used includes visual symptoms, types of fungi, and control methods. System testing is conducted using the black-box testing method to ensure functionality and diagnostic accuracy. The research results indicate that the system is capable of identifying the type of fungus on rice plants well based on the given symptoms and producing appropriate control recommendations. Thus, this expert system is expected to become an effective tool for farmers in detecting and handling fungal attacks more quickly and accurately.
subject: Articles
  topic: section
subject: sistem pakar
  topic: keywords
subject: forward chaining
  topic: keywords
subject: tanaman padi
  topic: keywords
subject: penyakit jamur
  topic: keywords
subject: gejala visual
  topic: keywords
creator: Bagus Sajiwo
creator: Rendi Prasetya
rights: Copyright (c) 2026 Bagus Sajiwo, Rendi Prasetya (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
doi: 10.30998/cmq4vs65

Implementasi Algoritma Apriori Untuk Prediksi Pola Penjualan Produk Fashion pada Toko Innari G-Style
type: item
description: This research is motivated by the low utilization of transaction data among MSMEs, specifically at Toko Innari G-Style, which still records transactions manually, leading to sales data not being leveraged for strategic analysis. The objective of this research is to develop a web-based sales information system equipped with an analysis feature to identify purchasing patterns using the Apriori algorithm. The research method employs the association rule technique from Data Mining with the Apriori algorithm. Sales transaction data from December 2022 to March 2025 are processed through a pre-processing stage to generate association rules based on support, confidence, and lift values. The result of this research is an information system that successfully and accurately automates transaction recording and reporting. Furthermore, the implementation of the Apriori algorithm successfully identified patterns of frequently co-purchased products, which can be utilized to develop data-driven marketing strategies such as product recommendations and merchandise layout.
subject: Articles
  topic: section
subject: apriori
  topic: keywords
subject: java
  topic: keywords
subject: msme
  topic: keywords
subject: association rule
  topic: keywords
subject: sales information system
  topic: keywords
subject: Ilmu Komputer
  topic: disciplines
creator: Isa Subani
creator: Ni Wayan Parwati Septiani
rights: Copyright (c) 2026 Isa Subani, Ni Wayan Parwati Septiani (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 201
ending page: 210
doi: 10.30998/km3mqr23

Software Quality Tourism Industry: Analisis Aplikasi Mobile Nusatrip dengan Metode System Usability Scale (SUS)
type: item
description: Industry using the System Usability Scale. SUS, or the System Usability Scale, was chosen because of its ease in providing a quantitative picture of an application's usability. This study includes the OVO, Spotify, and Mysurabaya applications to explore user perceptions of the interface and functionality of the applications. The research method uses a descriptive quantitative approach with the SUS questionnaire distributed to 42 active user respondents. The SUS score is calculated by summing the scores of each question item and multiplying it by a factor of 2.5. The Cronbach’s alpha test results show excellent internal consistency (0.793). The results indicate that the tested applications received an average SUS score that demonstrates excellent usability, such as NusaTrip with a score of 72.14, above the global average of 68. However, there is variation in user experience that indicates some aspects of the application need improvement. High-scoring items indicate an intuitive interface and well-integrated features, but low-scoring items emphasize the need to reduce the learning curve for new users. The research recommends adding tutorials or a help system to enhance the user experience.
subject: Articles
  topic: section
subject: System Usability Scale (SUS)
  topic: keywords
subject: Usability Evaluation
  topic: keywords
subject: Aplikasi Mobile
  topic: keywords
subject: User Experience (UX)
  topic: keywords
subject: Human Computer Interaction
  topic: disciplines
subject: Usability System
  topic: disciplines
subject: Testing System
  topic: disciplines
subject: Digital Heritage
  topic: disciplines
subject: Information Technology
  topic: disciplines
subject: Informatic
  topic: disciplines
subject: AI
  topic: disciplines
creator: Gde Brahupadhya Subiksa
creator: I Putu Astya Prayudha
creator: Ni Gusti Ayu Putu Harry Saptarini
creator: I Putu Bagus Arya Pradnyana
rights: Copyright (c) 2026 Gde Brahupadhya Subiksa, I Putu Astya Prayudha, Ni Gusti Ayu Putu Harry Saptarini, I Putu Bagus Arya Pradnyana (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
starting page: 240
ending page: 249
doi: 10.30998/8rg2k952

Perancangan Aplikasi Deteksi Plagiarisme dengan TF-IDF dan Cosine Similarity
type: item
description: Plagiarism is a serious challenge in the academic world that threatens scientific integrity. Access to commercial plagiarism detection tools like Turnitin is often limited due to high costs, while free tools have word count limitations and data privacy issues. This research aims to develop an offline plagiarism detection application based on natural language processing using the term frequency-inverse document frequency (TF-IDF) and cosine similarity algorithms. This application is designed to operate without an internet connection and without word count limitations and guarantees data security. The development method uses Python 3.13 with the PySide6 framework for the user interface and SQLite as the database. The test results on 1 test document and 9 comparison documents show a detection accuracy with an overall score of 9.38% (SkLearn method). The processing time for each is 8.55 seconds. This application is expected to be an alternative solution for students and educational institutions in independently and safely detecting plagiarism.
subject: Articles
  topic: section
subject: Deteksi Plagiarisme
  topic: keywords
subject: Natural Language Processing
  topic: keywords
subject: TF-IDF
  topic: keywords
subject: Cosine Similarity
  topic: keywords
subject: Python
  topic: keywords
creator: Shandy Arkan
creator: Heru Sulistiono
creator: Irawan Setiadi
rights: Copyright (c) 2026 Shandy Arkan, Heru Sulistiono, Irawan Setiadi (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
doi: 10.30998/nz32fq32

Sistem Pakar Pendeteksi Kerusakan Sepeda Motor Matik Injeksi Menggunakan Metode Forward Chaining
type: item
description: <p class="MsoNormal" style="mso-para-margin-top: 0cm; mso-para-margin-right: 0cm; mso-para-margin-bottom: 0cm; mso-para-margin-left: 0gd; text-align: justify; text-indent: -.2pt; mso-char-indent-count: 0; line-height: normal; mso-outline-level: body-text; mso-hyphenate: auto; tab-stops: 45.8pt 91.6pt 137.4pt 183.2pt 229.0pt 274.8pt 320.6pt 366.4pt 412.2pt 458.0pt 503.8pt 549.6pt 595.4pt 641.2pt 687.0pt 732.8pt; mso-vertical-align-alt: auto; margin: 0cm 0cm 0cm .1pt;">Currently, there is no expert system application specifically designed to diagnose damage to motorcycle engines, especially automatic injection types. Along with the rapid development of information technology, the implementation of computing technology has become crucial in overcoming various technical problems, including those in vehicle engines. The process of detecting damage to injection motorcycles requires in-depth knowledge and experience that is often not possessed by all mechanics, especially lay users. Therefore, the development of an expert system with the Forward Chaining method is a highly urgent solution. This system is expected to be able to detect damage to automatic injection motorcycles precisely, minimize repair errors (human error), and increase diagnostic accuracy.
subject: Articles
  topic: section
subject: Expert System
  topic: keywords
subject: Forward Chaining
  topic: keywords
subject: Damage
  topic: keywords
subject: Automatic Scooter
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Muhamad Irsan
creator: Galih Mustopa
creator: Muhammad Soleh Ritonga
rights: Copyright (c) 2026 Muhamad Irsan, Galih Mustopa, Muhammad Soleh Ritonga (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 192
ending page: 200
doi: 10.30998/3m9dec54

Analisis Prediktif Dropout Mahasiswa Berdasarkan Kinerja Akademik Semester Awal Menggunakan Machine Learning
type: item
description: Student dropout is a critical issue in higher education. This study aims to develop a predictive model of dropout based on early academic performance using Random Forest and Gradient Boosting algorithms. The dataset, sourced from the UCI Repository, contains 4,424 student records. Key features analyzed include the number of enrolled courses, evaluations, average grades, and enrollment age. Results show that the Gradient Boosting algorithm achieved 70.05% accuracy, while Random Forest reached 70.16%, both performing best in classifying graduates. The model successfully identifies high-risk students, although challenges remain in predicting “enrolled” status. These findings highlight the potential of machine learning for early dropout detection and support more targeted academic interventions.
subject: Articles
  topic: section
subject: dropout
  topic: keywords
subject: academic performance
  topic: keywords
subject: machine learning
  topic: keywords
subject: Random Forest
  topic: keywords
subject: Gradient Boosting
  topic: keywords
subject: Teknologi Informasi
  topic: disciplines
subject: Data Science
  topic: disciplines
creator: Putu Satya Saputra
rights: Copyright (c) 2026 Putu Satya Saputra (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 164
ending page: 171
doi: 10.30998/ed38e865

Sistem Monitoring Suhu Dan Humidity pada Data Center PT Elga Yasa Media Menggunakan IoT
type: item
description: The purpose of this final project is to design a temperature and humidity monitoring system in the data center with in the scope of PT Elga Yasa Media to carry out a manual data acquisition process followed by the development of a monitoring system to facilitate access and accurate monitoring, and be able to provide fast and precise information to make reports that are more structured and in accordance with direct data in the field. The research method is still done manually for the initial data, then the results of the research will produce a system that is installed in the data center of PT Elga Yasa Media, and test the temperature and humidity sensors. The method used for this final project research is the fuzzy method. fuzzy which is one of the software development methods for handling uncertainty and ambiguity in data center environment data. The results achieved are that the temperature and humidity monitoring system at the PT Elga Yasa Media data center is well programmed so that the design for detecting temperature and humidity becomes more effective and efficient, and can be monitored directly without having to make a physical visit to the data center. In building this system, a system design tool, namely Use Case Diagram, for IoT devices and sensors using ESP32 and DHT22, using the C language, using the PHP programming language, MySQL database with XAMPP, and the Laravel framework as a website display of the temperature and humidity monitoring system.
subject: Articles
  topic: section
subject: Data Center
  topic: keywords
subject: IoT
  topic: keywords
subject: Temperature
  topic: keywords
subject: Humidity
  topic: keywords
subject: DHT22
  topic: keywords
subject: Ilmu Komputer
  topic: disciplines
creator: Rivaldo Ibrahim
creator: Achmad Birowo
creator: Aan Risdiana
rights: Copyright (c) 2026 Rivaldo Ibrahim Desi, Achmad Birowo, Aan Risdiana (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 157
ending page: 163
doi: 10.30998/4rrndr47

Network Automation dengan Metode NDLC Menggunakan Bahasa Pemrograman Python
type: item
description: The development of information technology is so rapid, especially on computer networks. Network complexity is a challenge for network administrators in managing many devices, performing maintenance and facing increasingly sophisticated security threats. In this case, network automation is the solusiton. With network automation, the configuration of several network devices can be done simultaneously. The network devices are Cisco routers and switches. The purpose of this research is to create a web-based network design to be carried out with the initial stage of network analysis and problems that arise when building large-svale networks. By utilizing the python programming language, network automation can be implemented. Python has paramiko library that functions as an ssh client. The results of this research built a network automation web for Cisco router and switch network devices, with django as a web developer. So, several devices can be configured simultaneously through web network automation
subject: Articles
  topic: section
subject: Network Automation
  topic: keywords
subject: NDLC Method
  topic: keywords
subject: Python
  topic: keywords
subject: Ilmu Komputer
  topic: disciplines
creator: Achmad Fauzi
creator: Desi Desi
creator: Ade Kurnia Solihin
rights: Copyright (c) 2026 Achmad Fauzi, Desi Desi, Ade Kurnia Solihin (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 149
ending page: 156
doi: 10.30998/zxyn8s47

Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik dengan Metode Simple Additive Weighting (SAW) pada PT Satria Antaran Prima (SAP)
type: item
description: The decision-making process objectively and measurably based on a set of predetermined criteria. This research aims to develop a decision support system capable of providing recommendations for the best employees at PT. Satria Antaran Prima using the Simple Additive Weighting method. This system evaluates employee performance based on several criteria such as attendance, discipline, productivity, cooperation, and responsibility. Data is obtained through performance evaluations, interviews with human resource managers, and the results of the company's routine assessments. The calculation process is carried out by weighting each criterion and normalizing the data using the SAW method to determine the highest total score as an indicator of the best employee. The research results indicate that the application of the SAW method can produce objective, transparent, and efficient assessments, thereby assisting management in accurately determining high-performing employees. The implementation of this system is expected to enhance work motivation, strengthen the performance appraisal system, and support strategic decision-making within the company environment.
subject: Articles
  topic: section
subject: Sistem Pendukung Keputusan
  topic: keywords
subject: Karyawan Terbaik
  topic: keywords
subject: Simple Additive Weighting
  topic: keywords
creator: raihan
creator: Laksana Priyo Abadi
creator: Muhammad Ardiansyah
rights: Copyright (c) 2026 raihan, Laksana Priyo Abadi, Muhammad Ardiansyah (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
starting page: 221
ending page: 229
doi: 10.30998/jhjz9515

Perancangan Pembelajaran Online dengan Fitur Simulasi Tes Kerja Menggunakan Metode Simple Additive Weighting (SAW) pada SMK Ganesa Satria 2 Depok
type: item
description: Vocational High School graduates are required to have well-prepared work readiness to face competition in the industrial world. However, at SMK Ganesa Satria 2 Depok, the process of evaluating students' readiness through work test simulations is still conducted conventionally, making the assessment tend to be subjective and time-consuming. This research aims to design an online learning system that integrates a work test simulation feature by applying the Simple Additive Weighting method as a decision support system to evaluate student readiness. The system development method used is the Waterfall model, which includes requirements analysis, design, implementation, and testing. The SAW calculation is performed by considering criteria such as answer accuracy, completion speed, and understanding of basic concepts. The research results indicate that the system developed is capable of automatically processing simulation data and providing an objective ranking of student readiness. The implementation of this system is expected to assist the school in monitoring student progress and to make it easier for students to prepare for actual job selection processes.
subject: Articles
  topic: section
subject: E-learning
  topic: keywords
subject: Simulasi Tes Kerja
  topic: keywords
subject: Simple Additive Weighting
  topic: keywords
subject: SMK
  topic: keywords
subject: Sistem Pendukung Keputusan
  topic: keywords
creator: Ramadhanu Kadir Rachono
creator: Aswin Fitriansyah
creator: Sutrisno
rights: Copyright (c) 2026 Ramadhanu Kadir Rachono, Aswin Fitriansyah, Sutrisno (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-04-15
publication date: 2026-04-15
starting page: 211
ending page: 220
doi: 10.30998/bnhrsh88

Analisis Sentimen Kenaikan Pbb Berbasis Tiktok Menggunakan Support Vector Machine
type: item
description: The increase in Land and Building Tax for Rural and Urban Areas (PBB-P2) has generated diverse public reactions that are widely expressed through social media platforms. TikTok, characterized by high user engagement and informal communication patterns, provides a relevant medium for observing public sentiment toward fiscal policies. This study examines public sentiment regarding the PBB-P2 increase by applying a Support Vector Machine (SVM)–based classification approach. Two kernel configurations, Linear and Polynomial, are compared to identify differences in classification behavior when handling social media text data. User comments were collected automatically and processed through text cleaning, feature extraction, and sentiment labeling stages prior to model training. Model performance was analyzed using confusion matrix–based evaluation to observe prediction patterns across sentiment classes. The findings indicate noticeable differences in classification stability between the two kernel types, with the Linear kernel showing more consistent behavior when applied to imbalanced sentiment distributions. These results suggest that selecting a kernel aligned with the characteristics of textual data is an important consideration in social media–based sentiment analysis of public policy issues
subject: Articles
  topic: section
subject: Sentiment Analysis
  topic: keywords
subject: PBB-P2
  topic: keywords
subject: Support Vector Machine
  topic: keywords
subject: TikTok
  topic: keywords
subject: Public Policy
  topic: keywords
subject: Informatika; Data Mining; Machine Learning
  topic: disciplines
creator: Erhan Perdana
creator: Anggun Mentari
creator: Uci Azhari Chaniago
creator: Juniardo Purba
creator: Agus Perdana Windarto
rights: Copyright (c) 2026 Erhan Perdana, Anggun Mentari, Uci Azhari Chaniago, Juniardo Purba, Agus Perdana Windarto (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 182
ending page: 191
doi: 10.30998/d0qg9387

Sistem Pendukung Keputusan Penerimaan Karyawan Baru pada PT Kalingga Prima Bangun Setia dengan Metode SAW
type: item
description: The development of information technology has brought significant changes in various fields, including human resource management at PT Kalingga Prima Bangun Setia, a construction and property development company in Bekasi City. The manual process of recruiting new employees is a major challenge, as it results in low efficiency and is prone to errors. To address this issue, this study proposes the development of a decision support system based on the Simple Additive Weighting (SAW) method using JAVA Netbeans. This system aims to optimize the employee selection process by applying more standardized and professional criteria while also enhancing HRD's role in ensuring more accurate and efficient decisions. The implementation of this system is also expected to replace manual data archiving methods, speed up information access, and reduce data processing errors, thereby supporting the company's sustainability and success amid global competition.
subject: Articles
  topic: section
subject: Decision Support System
  topic: keywords
subject: Employee Recruitment
  topic: keywords
subject: New Employees
  topic: keywords
subject: SAW Method
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Age Rusdiyanto
creator: Rahmatika
creator: Rini Widia Putri Z
rights: Copyright (c) 2026 Age Rusdiyanto, Rahmatika, Rini Widia Putri Z (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 140
ending page: 148
doi: 10.30998/jc17qa67

Sistem Pendukung Keputusan Pemilihan Beasiswa SMAN 1 Cibinong dengan Metode AHP
type: item
description: This study aims to assist SMAN 1 Cibinong in formulating simpler scholarship assessment criteria, focusing on academic, non-academic, and extracurricular achievements to improve efficiency and fairness. It creates a mechanism using additional subcriteria to differentiate candidates with the same assessment scores, ensuring transparency and fairness. This research employs the Analytical Hierarchy Process (AHP) method for scholarship acceptance at SMAN 1 Cibinong by developing an application created with Java NetBeans, utilizing the Java programming language and MySQL for database storage. Implementing the Analytical Hierarchy Process (AHP) method in this system for selecting scholarship recipients helps in choosing candidates who meet the school's criteria, thereby making the process more efficient. In addition, this application can also assist the school as a reference and service in selecting scholarship recipients in the future.
subject: Articles
  topic: section
subject: Decision Support Systems
  topic: keywords
subject: Scholarship Selection
  topic: keywords
subject: Analytical Hierarchy Process
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Nanda Ardiyansah
creator: Arif Susanto
creator: Aulia Ar Rakhman Awaludin
rights: Copyright (c) 2026 Nanda Ardiyansah, Arif Susanto, Aulia Ar Rakhman Awaludin (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 130
ending page: 139
doi: 10.30998/rnxb3m76

Sistem Pendukung Keputusan Penentuan Stok Kebutuhan Barang Berbasis Web dengan Meninjau Tren Penjualan di Toko Prima Subang
type: item
description: The procurement process is an activity that greatly affects the operations of a store or company. Toko Prima, as one of the household appliance stores in Subang, West Java, faces several challenges in terms of product management every month, particularly in managing inventory and procurement. This situation makes it difficult for Toko Prima to optimize profits, as it is difficult to identify items or products with profitable sales patterns for repurchasing. To overcome this problem, an analysis of sales trends based on past data is needed, which can show sales patterns within a certain time frame. This analysis uses the least squares method. The results of this analysis are used in product ranking, which is calculated using the Simple Additive Weighting (SAW) method, to provide recommendations in the goods procurement process. The product ranking will highlight products with a high restocking priority. We hope to overcome the problems faced by Prima stores by combining sales trend analysis and product ranking. The PHP programming language implements these two analysis methods in a web-based application. The result of this research is a web-based Decision Support System, with the aim of obtaining recommendations for the goods procurement process based on sales trend analysis.
subject: Articles
  topic: section
subject: Decision Support System
  topic: keywords
subject: Simple Additive Weighting (SAW)
  topic: keywords
subject: Sales Trends
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Ela Nurdianti
creator: Alusyanti Primawati
creator: Rayung Wulan
rights: Copyright (c) 2026 Ela Nurdianti, Alusyanti Primawati, Rayung Wulan (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 120
ending page: 129
doi: 10.30998/yrx54k64

Pengembangan Sistem Informasi Rapor Online di SD Inpres 25 Fanindi-Manokwari
type: item
description: The development of information technology provides a significant opportunity for the world of education to improve efficiency in managing academic data. SD Inpres 25 Fanindi-Manokwari currently still uses a manual system in processing student report cards, so the process of assessment, recapitulation, and distribution of learning outcomes takes a long time and has the potential to cause errors. This study aims to develop a web-based online report card information system that can be used by teachers to input grades and by students and parents to access report card results in real-time. The system development method uses the Waterfall Model, which includes the stages of needs analysis, design, implementation, testing, and maintenance. Test results using Black Box Testing show that all features run according to their functions, while user feasibility testing through questionnaires to teachers and parents obtained a satisfaction percentage of 92%, which is categorized as very feasible. With this system, the process of managing grades becomes faster, more accurate, and transparent, and facilitates communication between the school and parents. This online report card information system is expected to be an effective solution as well as a development model for other elementary schools in the Manokwari area.
subject: Articles
  topic: section
subject: Information System
  topic: keywords
subject: Online Report Card
  topic: keywords
subject: Web
  topic: keywords
subject: SD Inpres 25 Fanindi-Manokwari
  topic: keywords
subject: System Development
  topic: keywords
subject: Information Technology Study Program, STMIK Kreatindo Manokwari
  topic: disciplines
creator: Melva Marhaba
creator: Risma petrus
creator: Mardewi
rights: Copyright (c) 2026 Melva Marhaba, Risma petrus, Mardewi (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 172
ending page: 181
doi: 10.30998/mkhkck96

Sistem Pendukung Keputusan untuk Pengadaan Alat Kesehatan terhadap Klien PT Citra Naya Medika dengan Metode AHP
type: item
description: The problem faced is that there is no Analytical Hierarchy Process (AHP) method used to accelerate the process of determining the priority of medical devices for PT Citra Naya Medika clients and the criteria used in the process of determining the procurement of medical devices at PT Citra Naya Medika are not yet optimal, which include the criteria for the number of transactions, distance from the client's location, amount of payment, and purchase history. The purpose of designing a decision support system for the procurement of medical devices for clients is to make it easier for leaders to choose clients and the calculation process is computerized using the AHP method. The method used in this study is the Analytical Hierarchy Process in solving the problems that have been studied. The results obtained in this study are to produce a report on client priority data for the procurement of medical devices at PT Citra Naya Medika which is accurate so that it can help in making strategies in the future. The application system that has been designed is suitable for use in the process of procuring medical devices for clients at PT Citra Naya Medika because it is in accordance with the needs, so that it can facilitate the administration in the process of inputting data and making reports.
subject: Articles
  topic: section
subject: DSS
  topic: keywords
subject: Health
  topic: keywords
subject: AHP
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Gabriella Priyanti
creator: Nandang Suwela
creator: Vickry Ramdhan
rights: Copyright (c) 2026 Gabriella Priyanti, Nandang Suwela, Vickry Ramdhan (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 112
ending page: 119
doi: 10.30998/fb239n43

Sistem Pendukung Keputusan Menentukan Karyawan Terbaik pada Yayasan Bunda Hati Kudus Menggunakan Metode AHP
type: item
description: This research aims to build a strong and structured support system using the Analytic Hierarchy Process (AHP) method in complex decision-making. This research method combines qualitative and quantitative approaches. The qualitative approach is used in determining the hierarchy and relative weight between the criteria, while the quantitative approach is used in performing mathematical calculations and ranking in the selection of the best employees. The results of this study show that this system has succeeded in increasing the efficiency and accuracy of the employee assessment process compared to the manual method previously used. And assist the HR department of the Yayasan Bunda Hati Kudus in determining the best employees and the employees with the best predicate will receive the best employee award certificate. The final result obtained is the creation of a decision support system to determine the best employees at the Yayasan Bunda Hati Kudus.
subject: Articles
  topic: section
subject: Decision Support System
  topic: keywords
subject: Best Employees
  topic: keywords
subject: Analytic Hierarchy Process (AHP)
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Elvia Santiawati
creator: Wanti Rahayu
creator: Za’imatun Niswati
rights: Copyright (c) 2026 Elvia Santiawati, Wanti Rahayu, Za’imatun Niswati (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 103
ending page: 111
doi: 10.30998/w40rgs30

Sistem Pakar Diagnosa Penyakit Lambung dengan Metode Forward Chaining
type: item
description: This research is based on the problem of diagnosing stomach diseases that occur across various layers of society. The symptom that appear, such as discomfort in the stomach, nausea and vomiting, become a source of concern for individuals. Diagnosing stomach diseases becomes a complicated task due to the fact that the symptoms are often ambiguous and overlap with other diseases. This research only discusses stomach diseases such as gastritis, dyspepsia, stomach cancer, Gerd, gastroenteritis, gastroparesis and peptic ulcers. Therefore, we decided to create an expert system that can assist medical personnel at Puskesmas Seroja, Bekasi, West Java. An Expert system is a system that attempts to adopt human knowledge into a computer so that the computer can solve problems in a way similar to what expert would do. This system, designed using the java programming language and MySQL database, is expected to help all segments of society in determining the type of stomach diseases they are suffering from. To develop this expert system, we are using the forward chaining method. Forward chaining method that starts from known facts and uses rules to reach goals and conclusions. Therefore, the expert system built using the forward chaining method at Seroja Community Health Center can accurately diagnose and spread gastric diseases.
subject: Articles
  topic: section
subject: Expert System
  topic: keywords
subject: Stomach Disease
  topic: keywords
subject: Forward Chaining
  topic: keywords
subject: Java,
  topic: keywords
subject: MySQL
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Surya Avesina Roszah
creator: Agus Darmawan
creator: Muhammad Nur Witama
rights: Copyright (c) 2026 Surya Avesina Roszah, Agus Darmawan, Muhammad Nur Witama (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 83
ending page: 92
doi: 10.30998/y5dwhx67

Sistem Pengelolaan Toko Hewan Peliharaan Petify Berbasis Website
type: item
description: Manual operational data management in pet shops often causes problems, such as inaccurate stock data, difficulty in tracing transaction history, and inefficient services. The goal of this study is to create and build a website-based pet shop management system called Petify. This system was developed to provide an integrated platform for administrators to centrally manage product data, grooming services, scheduling, transactions, and suppliers. The system development method used is the Waterfall model, which includes the stages of requirements analysis, system design, implementation, and testing. In the system design stage, system modeling was carried out using ERD and DFD, as well as user interface (UI/UX) designs tailored to the needs of administrators. The result of this research is a website-based information system that can replace manual recording and simplify store operations. Based on system testing using the Black Box Testing method with the Equivalence Partitioning approach, all functional features of the system were proven to work well and valid according to user needs. The implementation of Petify is expected to improve store management efficiency and service quality for customers.
subject: Articles
  topic: section
subject: Black Box Testing
  topic: keywords
subject: Pet Shop
  topic: keywords
subject: Waterfall
  topic: keywords
subject: Website
  topic: keywords
subject: Information System
  topic: keywords
subject: Software Engineering Technology
  topic: disciplines
creator: Zafira A’idah Gunawan
creator: Fadilla Julianifa Putri
creator: Raina Disa Wibowo
creator: Cahaya Elisabet Butarbutar
creator: Hanin Putri Sholiha
creator: Aditya Wicaksono
creator: Gema Parasti Mindara
creator: Inna Novianty
creator: Lathifunnisa Fatonah
creator: Endang Purnama Giri
rights: Copyright (c) 2026 Zafira A’idah Gunawan, Fadilla Julianifa Putri, Raina Disa Wibowo, Cahaya Elisabet Butarbutar, Hanin Putri Sholiha, Aditya Wicaksono, Gema Parasti Mindara, Inna Novianty, Lathifunnisa Fatonah, Endang Purnama Giri (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 93
ending page: 102
doi: 10.30998/8ys22t71

Rancang Bangun Aplikasi Snack Market Berbasis Android Pada PT Qtera Mandiri
type: item
description: PT Qtera Mandiri is a technology company that has opened a new division selling snacks. Currently, it only uses a website platform for sales, so in order to reach a wider market, it needs to build its own e-commerce platform. The purpose of this research is to build an Android-based e-commerce application for snack sales, which will make it easier for sellers and customers to shop, thereby increasing sales and revenue. This Android application is also designed to optimize the reporting process, which was previously done manually, thereby making business processes more efficient. The research method used is the design and creation method to develop the application and e-commerce product based on the research conducted. The results achieved in this research include increased snack sales, easier transactions for administrators and customers, efficient reporting to streamline business processes, and improved market analysis capabilities due to more detailed reporting data.
subject: Articles
  topic: section
subject: e-commerce, snack market, Android, penjualan, aplikasi
  topic: keywords
subject: Teknik Informatika
  topic: disciplines
creator: Waluyo Ade Prasetio
creator: Intan Mutia
creator: Zuhana Realita Alfy
rights: Copyright (c) 2026 Waluyo Ade Prasetio, Intan Mutia, Zuhana Realita Alfy (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 75
ending page: 82
doi: 10.30998/7knk6576

Sistem Pendukung Keputusan Pemberian Bantuan Sosial Warga Kelurahan Pakansari dengan Metode SAW
type: item
description: The manual process of collecting data on social assistance recipients in Pakansari Village hinders the performance of the selection team. This study aims to develop a Decision Support System (DSS) to determine potential social assistance recipients using the Simple Additive Weighting (SAW) method. This Decision Support System was built using the PHP programming language and MySQL database in accordance with the criteria set by the sub-district, namely income, distance, number of family members, vulnerable groups, and age. The research method used was a quantitative approach. The results of the study show that the application of the SAW method can help the selection process to be more objective, fast, and accurate so that the determination of aid recipients can be more targeted
subject: Articles
  topic: section
subject: SPK
  topic: keywords
subject: Social Assistance
  topic: keywords
subject: SAW Method
  topic: keywords
subject: ilmu komputer
  topic: disciplines
creator: Rifqi Syabana
creator: Millati Izzatillah
creator: Noni Selvia
rights: Copyright (c) 2026 Rifqi Syabana, Millati Izzatillah, Noni Selvia (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 66
ending page: 74
doi: 10.30998/kt45q046

Sistem Pengambilan Keputusan Penerimaan Beasiswa Sekolah Non Formal dengan Metode SAW
type: item
description: This study aims to apply the Simple Additive Weighting (SAW) method in the scholarship selection process at PKBM Bintang Tunas Mulia. A key issue identified in the previous selection process was the absence of a structured assessment system, which resulted in decision that were often subjective and poorly documented. The decision support system developed in this study is expected to enhance the effectiveness of the selection process by providing assessment results that are more objective, transparent, and measurable results. Through the application of the SAW method, each criterion can be assigned a weight according to its level of importance, thereby producing a fairer and more rational decision in determining scholarship recipients. The criteria used in the assessment include learners’ age, parents’ income, and average academic scores. Based on calculation results, the highest preference value obtained was 0.8333, indicating that this alternative is the most eligible to receive the scholarship.
subject: Articles
  topic: section
subject: Criteria
  topic: keywords
subject: Scholarship selection
  topic: keywords
subject: Decision Support System
  topic: keywords
subject: Simple Additive Weighting
  topic: keywords
subject: Computer Science
  topic: disciplines
creator: Gahtan Rughby
creator: Yulianingsih
creator: Rosdiana
rights: Copyright (c) 2026 Gahtan Rughby, Yulianingsih, Rosdiana (Author) https://creativecommons.org/licenses/by/4.0
date: 2026-01-15
publication date: 2026-01-15
starting page: 58
ending page: 65
doi: 10.30998/y7kmab49