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Management of Information System Journal
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 29649455     DOI : https://doi.org/10.47065
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Management of Information System Journal merupakan jurnal yang mempublikasi hasil penelitian pada bidang Manajemen Informatika maupun Sistem Informasi, namun Management of Information System Journal dapat juga menampung kajian pada bidang Computer Science. Management of Information System Journal publish pada periode 4 bulanan, yaitu November (Issue 1), Maret (Issue 2) dan Juli (Issue 3). Management of Information System Journal memiliki ISSN 2964-9455 (media online) dengan no SK 29649455/II.7.4/SK.ISSN/12/2022.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 90 Documents
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Analisis Dampak ChatGPT Sebagai Code Assistant Terhadap Kualitas Kode Mahasiswa Informatika UTS Siska Atmawan Oktavia Siska; Siska Atmawan Oktavia; Muhammad Alfan Habib
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.3043

Abstract

The rapid advancement of Artificial Intelligence (AI) has introduced various tools that support software development, one of which is ChatGPT. This study aims to analyze the impact of using ChatGPT as a code assistant on the quality of program code produced by Informatics students at Universitas Teknologi Sumbawa. A quantitative experimental method was employed by comparing programming tasks completed manually and with the assistance of ChatGPT. Code quality was evaluated using SonarQube based on three metrics: Maintainability Index, Cyclomatic Complexity, and Reliability (Bug Count), followed by statistical analysis to examine differences between the two conditions. The results indicate that there were no significant differences across all evaluated metrics between manually written code and code generated with ChatGPT assistance (p > 0.05). These findings suggest that the use of ChatGPT did not affect code quality in this study; however, it still has the potential to improve the efficiency of software development. Furthermore, this study provides empirical evidence regarding the impact of using ChatGPT on code quality, based on SonarQube static analysis metrics. The findings are expected to serve as a reference for educators, students, and researchers in evaluating the use of ChatGPT as a code assistant in both learning and software development contexts.
Perancangan Sistem Pendukung Keputusan Berbasis Rekayasa Perangkat Lunak Membantu Penentuan Prioritas Penanganan Perkara Hukum Irianto; Abdul Karim Syahputra; Sumantri
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.3050

Abstract

The increasing number of legal cases requiring resolution has created significant challenges for law enforcement agencies in determining case handling priorities in an objective, timely, and consistent manner. This study aims to design a Software Engineering-based Decision Support System (DSS) to assist in determining the priority of legal case handling based on predefined evaluation criteria. The Simple Additive Weighting (SAW) method is employed to perform the weighting and ranking of case alternatives, while the software development process follows the Waterfall model, consisting of requirements analysis, system design, implementation, testing, and maintenance. The evaluation criteria include case urgency, social impact, number of victims, case complexity, and case resolution deadlines. System evaluation is conducted through functional testing using Black Box Testing, software quality assessment based on the ISO/IEC 25010 quality characteristics (functional suitability, usability, and performance efficiency), and recommendation accuracy measurement by comparing the system-generated rankings with expert judgments using the Spearman Rank Correlation coefficient. The expected system performance targets include 100% functional success, a minimum usability score of 85% (excellent category), a system response time of less than 3 seconds, and a ranking correlation coefficient of ≥0.90, indicating a very high level of agreement between the system recommendations and expert decisions. The expected outcome of this research is a Decision Support System capable of improving objectivity, consistency, and efficiency in prioritizing legal case handling while reducing subjectivity in the decision-making process.
Penerapan Metode Linear Regression untuk Prediksi Pendapatan UMKM Kantin Sekolah pada Program Makan Bergizi Gratis Yessica Siagian; Jeperson Hutahaean; Andri Nata; Hikmat Syahputra Tarigan
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.3059

Abstract

Penelitian ini bertujuan menganalisis dan memprediksi dampak Program Makan Bergizi Gratis (MBG) terhadap pendapatan UMKM kantin sekolah di Kabupaten Asahan menggunakan metode regresi linear sederhana. Penelitian menggunakan pendekatan kuantitatif dengan data yang diperoleh dari 28 pelaku UMKM kantin sekolah yang terdampak pelaksanaan Program MBG. Analisis dilakukan untuk mengetahui hubungan antara variabel independen dan perubahan pendapatan UMKM serta membangun model prediksi yang dapat digunakan sebagai dasar pengambilan keputusan. Hasil penelitian menghasilkan model regresi Y = 157.321 − 46,35X yang menunjukkan adanya hubungan antara variabel yang dianalisis. Hasil analisis juga menunjukkan bahwa pedagang makanan berat mengalami dampak penurunan pendapatan paling besar, sedangkan pedagang non-makanan pokok relatif lebih mampu mempertahankan bahkan meningkatkan pendapatannya. Evaluasi model menggunakan Mean Absolute Percentage Error (MAPE) menghasilkan nilai 12,45%, yang termasuk dalam kategori baik, sehingga model dinilai mampu memberikan prediksi dengan tingkat akurasi yang memadai. Hasil penelitian diharapkan dapat menjadi bahan pertimbangan bagi pemerintah dan pihak sekolah dalam menyusun kebijakan pendampingan bagi UMKM yang terdampak Program MBG.
Rancang Bangun Sistem Monitoring Suhu Pasien Rawat Inap Berbasis Internet of Things Dedi Suarna
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.2851

Abstract

Monitoring the health condition of inpatients is an important aspect of hospital services to ensure optimal patient monitoring. The manual process of monitoring body temperature has several obstacles, such as limited time for medical personnel, delays in obtaining information on patient conditions, and the ineffectiveness of the continuous monitoring process. This study aims to design and build an Internet of Things (IoT)-based inpatient body temperature monitoring system that is capable of providing real-time patient condition information. This system uses a DS18B20 temperature sensor as a patient temperature reader and a NodeMCU ESP8266 as a microcontroller that functions to process and transmit data via the internet. The temperature data obtained is displayed on the Blynk application on a smartphone so that it can be monitored by medical personnel anytime and anywhere. The research methods used include observation, interviews, literature studies, system design, hardware and software implementation, and system testing. The results of the study indicate that the system built is able to read patient body temperature well, send data to the Blynk server, and display temperature information in real-time on a smartphone device. Thus, this IoT-based patient health monitoring system can assist medical personnel in monitoring patient conditions more effectively, quickly, and efficiently.
Pengembangan Aplikasi SPMI Berbasis Web Untuk Monitoring Tri Dharma Dan Audit Mutu Internal Di Universitas Cipasung Tasikmalaya Miftahudin Miftahudin; Nana Supiana; Alam Alam; Rafi Hafizmi Anggia; Windriyana Windriyana
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.2877

Abstract

The monitoring process of the Tri Dharma Perguruan Tinggi (Three Pillars of Higher Education), learning monitoring, and Internal Quality Audit (AMI) at Cipasung University, Tasikmalaya, is still carried out manually, so data management and quality evaluation processes have not been running optimally. This study aims to develop a web-based Internal Quality Assurance System (SPMI) application that can support the monitoring and quality management process in a more integrated manner. The research method used is the Prototype method with the stages of needs analysis, system design, prototype development, and system testing. The application is designed using the Laravel framework and MySQL database. This study also applies RabbitMQ as a message broker to support asynchronous data communication between system modules. The main features of the application include Semester Learning Plan (RPS) management, research monitoring, Community Service (PKM), Intellectual Property Rights (IPR), and Internal Quality Audit (AMI) management. Testing results using the blackbox testing method indicate that all main features of the system can run according to user needs. The novelty of this study lies in the application of RabbitMQ in the web-based SPMI system to support the monitoring process and information distribution more quickly and integratedly.
Machine Learning-Based Predictive System for Cultural Heritage Site Condition Assessment Arif Ridho Lubis; Ali Basrah Pulungan
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.2897

Abstract

Cultural heritage preservation in North Sumatra faces challenges from manual, decentralized, and reactive site condition reporting. This study designs and develops a web-based Cultural Heritage Information System (CHIS) integrated with a Machine Learning (ML) prediction module for the Disbudparekraf of North Sumatra Province. The system is built using the CodeIgniter 4 framework with Role-Based Access Control (RBAC), MariaDB database, GIS integration via Leaflet.js, and a prediction module employing Random Forest Regressor with features including health score, structural integrity, physical integrity, authenticity, age factor, and maintenance score. Development follows the Waterfall model encompassing requirements analysis, design, implementation, black-box testing (47 test cases), and deployment. Results demonstrate successful integration of 12 historical assessment records from 10 priority heritage sites, generating 8 predictions with an average confidence score of 45.9% and automatic identification of high-risk sites such as Masjid Raya Al Mashun (confidence 51%). The system produces structured maintenance recommendations across three priority categories with specific timelines. The moderate confidence score reflects initial dataset limitations and is expected to improve with accumulating assessment data. This research contributes a replicable GIS-ML integration model for heritage conservation at the Indonesian local government level.
Pengaruh Kualitas Interpretasi Terhadap Kepuasan Dan Persepsi Wisatawan Di Tjong A Fie Vidya Amanda; Cece
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.3024

Abstract

This study is motivated by the importance of the quality of tour guides’ interpretations in building a positive destination image and enhancing the satisfaction of tourists visiting Tjong A Fie in Medan. The objective of this study is to analyze the influence of the quality of historical interpretations provided on tourists’ satisfaction and positive perspectives regarding their visit. This study employs a quantitative method with descriptive and causal approaches. Data collection was conducted through the distribution of questionnaires to 100 respondents. This study utilizes the Partial Least Squares –Structural Equation Modeling (PLS–SEM) technique with the assistance of SmartPLS software. The results of this study indicate that historical interpretation has a positive and significant effect on tourist satisfaction, with a t- statistic of 11.82 and a p-value of 0.000. This study also shows a positive relationship between the quality of interpretation and tourist perceptions, with a t-statistic of 3.478 and a p-value of 0.001. This study concludes that there is a positive influence between the quality of historical interpretation and tourist satisfaction and perception. This study demonstrates that improving the quality of historical narratives and guide communication is the key to sustaining the intellectual aspect of historical tourism.
Decision Support System Evaluasi Tingkat Keberhasilan UMKM Menggunakan Weighted Scoring Method Prio Kustanto; Mochammad Darip; Sigit Auliana
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.3099

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in driving regional economic growth, yet most business owners still face challenges in objectively evaluating their business conditions. The assessment process, which relies heavily on experience and intuition, often results in business decisions not being supported by measurable information. This study aims to develop a web-based Decision Support System (DSS) to evaluate the success rate of MSMEs using the Weighted Scoring Method. The study employed a Research and Development (R&D) approach, encompassing needs analysis, system design, method implementation, and application testing. The evaluation process involved six key indicators, weighted according to their importance, then calculated to produce a final score, classified into three success levels: high, medium, and low. The results showed that the system was able to automate the evaluation process, consistently display success rate classifications, and generate reports in PDF format to document the assessment results. Testing using real MSME data demonstrated that the system's calculations were consistent with manual calculations based on the applied method. The developed system is expected to assist MSMEs in conducting more systematic business evaluations and support local governments in the development and data-driven decision-making process.
Analisis Komparatif Algoritma K-Means dan K-Medoids dalam Klasterisasi Minat Belajar Siswa MDTA Qur'an Kisaran William Ramdhan
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.3116

Abstract

Learning interest is one of the important factors that influence student success in following the learning process. However, identification of students' learning interest levels is often done subjectively so that it is less able to describe the student's condition as a whole. This study aims to compare the performance of the K-Means and K-Medoids algorithms in grouping the learning interests of MDTA Qur'an Kisaran students based on academic and non-academic data. The dataset used consists of 119 students with six variables, namely academic grades, attendance percentage, memorization assessment, Qur'an reading ability, moral assessment, and student participation. The clustering process was carried out with three clusters representing the categories of high, medium, and low learning interest. Cluster quality evaluation was carried out using the Davies-Bouldin Index (DBI) and Silhouette Coefficient. The results showed that the K-Means algorithm produced a DBI value of 1.5839 and a Silhouette of 0.2186, while the K-Medoids algorithm produced a DBI value of 1.5950 and a Silhouette of 0.2046. Based on the evaluation results, the K-Means algorithm performed better than K-Medoids in clustering student learning interests. The clustering results can be used to support decision-making in student development, developing learning strategies, and selecting participants for the Inter-Islamic Sports and Arts Week (PORSADIN) in a more objective and data-driven manner.
Penerapan Metode MAUT dalam Menentukan Platform E-Commerce Terbaik Berdasarkan Preferensi Konsumen Arridha Zikra Syah; Santoso Santoso; Jeperson Hutahaean; Muhammad Gusti Rivaldi
Management of Information System Journal Vol 4 No 3: Juli 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/mis.v4i3.3132

Abstract

Perkembangan teknologi digital yang begitu cepat telah memicu perubahan signifikan dalam cara konsumen melakukan transaksi, terutama menggunakan platform e-commerce. Dengan banyaknya pilihan marketplace yang ada, konsumen sering kali menghadapi tantangan dalam memilih platform yang paling tepat sesuai dengan kebutuhan dan preferensi mereka. Karena itu, penelitian ini bertujuan untuk menerapkan metode Multi-Attribute Utility Theory (MAUT) untuk mendukung proses pengambilan keputusan dalam memilih platform e-commerce yang terbaik berdasarkan beberapa kriteria yang relevan dari perspektif konsumen. Beberapa faktor yang digunakan sebagai pedoman antara lain ialah biaya, mutu layanan, kenyamanan penggunaan, ragam produk, laju pengiriman, dan perlindungan dalam transaksi. Informasi diperoleh melalui distribusi angket kepada partisipan yang aktif menggunakan platform belanja online. Analisis dengan metode MAUT ini menunjukkan bahwa pendekatan ini dapat memberikan gambaran yang sangat jelas dan sistematis dalam mengevaluasi serta membandingkan opsi yang ada berdasarkan sifat yang dianggap krusial oleh konsumen. Penelitian ini menunjukkan bahwa MAUT merupakan metode yang efektif dan aplikatif dalam konteks pengambilan keputusan multi-kriteria, khususnya dalam bidang e-commerce.

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