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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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Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Menggunakan Metode SAW Bernadus Gunawan Sudarsono; Rakhmi Khalida
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.v4i3.2927

Abstract

Sistem Pendukung Keputusan atau Decision Support System (DSS) adalah sebuah sistem berbasis komputer yang membantu pengambilan keputusan dalam situasi semi-terstruktur dan tidak terstruktur. Salah satu metode yang digunakan dalam SPK adalah Multi Criteria Decision Making (MCDM), dengan metode Simple Additive Weighting (SAW) sebagai salah satu teknik populernya. Penelitian ini bertujuan untuk membangun Sistem Pendukung Keputusan (SPK) guna menentukan guru berprestasi dengan menggunakan metode SAW. Langkah-langkah dalam metode SAW meliputi: menentukan kriteria dan bobotnya, menilai setiap guru berdasarkan kriteria yang telah ditetapkan, melakukan normalisasi nilai untuk setiap kriteria, menghitung skor total setiap guru dengan mengalikan nilai normalisasi dengan bobot kriteria, dan akhirnya membuat peringkat guru berdasarkan skor total yang diperoleh. Kriteria yang digunakan dapat mencakup kualitas pengajaran, inovasi dalam pembelajaran, dan kontribusi di luar kelas, dengan masing-masing kriteria diberi bobot sesuai tingkat kepentingannya. Hasil akhir dari sistem ini adalah daftar peringkat guru berprestasi yang mencerminkan prestasi mereka secara objektif, sehingga mempermudah dalam proses pemilihan guru berprestasi terbaik. Dengan demikian, SPK menggunakan metode SAW ini dapat meningkatkan transparansi dan akurasi dalam penilaian prestasi guru.
Emergency Report System Multi-Channel Notification Berbasis Web pada Dinas Damkar Kabupaten Kediri Erlangga Fajar Ramadhan Ramadhan; Rini Indriati; Dwi Harini
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.v4i3.2967

Abstract

Conventional emergency reporting at the Kediri Regency Fire Department suffers from three structural problems: location inaccuracy, the absence of self-tracking for the public, and unstructured documentation. Similar studies typically address these issues separately, without integrating automatic geolocation, multi-channel notification, role-based access control (RBAC), and security validation into one empirically tested system. This study develops a web-based Emergency Response Information System (SIRTADA) using the Waterfall method, with a three-tier architecture combining automatic geolocation, Firebase Cloud Messaging, and a WhatsApp Gateway as parallel notification channels. Multi-level evaluation shows solid results: 100% unit test pass rate (63 test cases), 97.5% integration test pass rate (78/80 assertions), and an 89.3% UAT score ("Very Good"), although a Stored XSS vulnerability requiring further mitigation was identified. The novelty of this study lies in integrating automatic geolocation, multi-channel notification, and RBAC into a single empirically validated web-based emergency response architecture, offering an evaluation framework adoptable for similar public service systems
Pengembangan Aplikasi Helpdesk IT Berbasis Web dengan Integrasi Inventaris dan Logbook di RSUD Gambiran Moh. Teguh Purwanto; Rini Indriati; Arie Nugroho
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.v4i3.2974

Abstract

At RSUD Gambiran Kediri City, the coordination of IT issue resolution has long relied on informal communication via telephone calls and WhatsApp messages, resulting in incomplete incident reports, difficulties in tracking resolution status, and a lack of service documentation trails. This condition risks directly hindering the quality of healthcare services, as disruptions to information technology infrastructure affect all hospital work units. To address these issues, this study developed a web-based IT helpdesk information system designed to integrate directly with the hospital’s existing inventory and logbook applications. The development process adopted the Waterfall model through four sequential phases: requirements analysis, design, implementation, and testing. Requirements data were gathered through interviews, field observations, and questionnaires distributed to IT officers and relevant department heads. The technology stack utilizes PHP Laravel as the primary framework, MySQL for database management, and Bootstrap for the user interface, hosted on an Ubuntu server running inside an LXC container on the Proxmox virtualization platform. Key features include a six-stage tiered complaint handling workflow, real-time notifications via Telegram, and API connections to the inventory and logbook applications. Functional verification was conducted using Black Box Testing across 14 manual scenarios, 63 feature tests, and 4 unit tests, all of which passed. A feasibility assessment by three respondents through User Acceptance Testing demonstrated full acceptance of all tested features. A satisfaction questionnaire distributed to ten IT officers yielded an average score of 4.6 out of 5. The resulting system successfully replaced previous informal reporting patterns while enhancing organization, response time, and information transparency in managing hospital IT complaints
Analisis Sentimen Ulasan EA FC 26 Di Steam: Perbandingan SVM Dan Multinomial Naïve Bayes Rafi Adha Azhar; Wahyu Widodo
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.v4i3.2977

Abstract

User reviews on the Steam platform contain important information about player perceptions of EA FC 26. However, the large volume of reviews and their unstructured textual form make manual analysis difficult and prone to inconsistency. This study aims to identify user sentiment tendencies and compare the performance of Support Vector Machine (SVM) and Multinomial Naïve Bayes in classifying EA FC 26 reviews on Steam. The research follows the Knowledge Discovery in Database (KDD) stages, consisting of selection, preprocessing, transformation, data mining, and evaluation. A total of 5,000 recent English-language reviews were collected through the Steam Review API. After data processing, 4,988 valid reviews were obtained, consisting of 2,823 negative reviews and 2,165 positive reviews based on the voted_up recommendation status. The review texts were represented using TF-IDF N-Gram features consisting of unigrams and bigrams, then classified using SVM and Multinomial Naïve Bayes. The evaluation results show that SVM achieved an accuracy of 82.26% and a weighted F1-score of 0.8230, while Multinomial Naïve Bayes achieved an accuracy of 77.15% and a weighted F1-score of 0.7598. The McNemar test produced a p-value of 0.000421, indicating a statistically significant difference between the two models. This study contributes by providing a comparative evaluation based not only on general accuracy, but also on per-class performance, confusion matrix, prediction error patterns, and statistical significance.
Media Virtual Reality Berbasis Pemodelan 3D untuk Edukasi Warisan Budaya Paseban Tri Panca Tunggal Yulyanto; Fachri El'Kariem; Rika Nugraha
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.v4i3.2986

Abstract

The erosion of cultural heritage literacy among younger generations is a pressing challenge in Indonesia's digitizing society. Paseban Tri Panca Tunggal, a Sundanese heritage building constructed in 1840 in Cigugur, Kuningan, West Java, embodies significant philosophical and architectural values of the Sunda Wiwitan belief system, yet remains largely inaccessible to students through conventional educational approaches. This study presents the design and implementation of a 3D modeling-based Virtual Reality (VR) educational medium for this heritage site using the Multimedia Development Life Cycle (MDLC) framework. Blender was used for hardsurface 3D modeling, Unity for interactive integration, and Spatial.io for metaverse-based VR deployment, producing an immersive learning experience accessible via web browser, Android devices, and VR headsets. Nine key architectural elements, each bearing distinct philosophical meaning, were digitally reconstructed with interactive audio narration and informational pop-ups. Expert media validation yielded 4.3/5.0 (Very Feasible), object accuracy validation scored 3.5/5.0 (Feasible), and user testing with 36 Grade-5 primary students produced 4.21/5.0 (84.2%, Very Feasible). These results demonstrate that VR-based 3D modeling is an effective medium for cultural heritage education, offering a replicable model for digital preservation of locally significant heritage sites in Indonesia. As the first VR educational medium specifically designed for Paseban Tri Panca Tunggal, this work contributes a replicable digital preservation framework for locally significant heritage sites across Indonesian educational contexts.
Game RPG Matematika Berbasis Fuzzy Mamdani-DDA dan Dasbor Guru untuk Sekolah Dasar Yulyanto; Muhammad Nauval Bintang; Rio Andriyat Kridiawan
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.v4i3.2988

Abstract

This study develops and evaluates the feasibility of “Jiwa Menghitung,” an Android turn-based RPG for elementary school mathematics (Grades 4–6). The principal novelties are: (1) adoption of Fuzzy Mamdani inference—rather than Sugeno—as the DDA engine, yielding linguistically interpretable categorical outputs (Easy/Medium/Hard) directly communicable to educators; and (2) a dual-sided architecture integrating the game client with a real-time teacher dashboard via Firebase. The Mamdani engine, governed by nine IF-THEN rules and Centroid of Gravity (COG) defuzzification, adapts question difficulty from two inputs: player response time and error count. Membership function parameters were validated through expert review by two mathematics teachers, and the rule base verified by white-box analysis (V(G)=3). User Acceptance Testing (UAT) with 42 students yielded 90.98% overall acceptance (Usability: 95.35%; DDA System: 80.00%), while teacher UAT (n=2) produced 88.09%—both exceeding the “Very Feasible” threshold. N-gain analysis for Grades 4 and 5 produced moderate gains (g=0.36 and g=0.34), while Grade 6 exhibited a ceiling effect identifying a critical design constraint. Findings confirm the technical feasibility and user acceptance of Mamdani-based DDA, while establishing adaptation granularity as a key development priority.
Optimasi Distribusi Makan Bergizi Gratis berbasis Vehicle Routing Problem with Time Windows (VRPTW) Irwan Syahputra; Anzas Ibezato Zalukhu; Suhardiansyah; Maida Indrayani; Ayu Ofta Sari; Dewi Sartika; Bambang Sugito
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.v4i3.2996

Abstract

The Free Nutritious Meal Program (MBG) requires an efficient distribution system to ensure the timely delivery of meals while maintaining food quality and safety. This study aims to implement the Vehicle Routing Problem with Time Windows (VRPTW) method in a web-based MBG Distribution Information System to optimize delivery routes based on vehicle capacity, demand quantity, destination locations, and service time window constraints. The research methodology consisted of problem identification, literature review, data collection, system design, implementation, and system evaluation. The study utilized operational data from the Nutrition Fulfillment Service Unit (SPPG) in Desa Baru Pasar VIII, Tanjung Beringin, Langkat Regency, serving 13 schools with a total demand of 1,672 meal portions using two delivery vehicles. The implementation results showed that the VRPTW method generated an optimized distribution route with a total travel distance of 42.74 km. The evaluation results demonstrated that VRPTW reduced the total travel distance from 49.86 km to 42.74 km, representing a 14.28% improvement in distribution efficiency. Furthermore, the total distribution time decreased from 118 minutes to 101 minutes, achieving a 14.41% reduction compared with the conventional distribution method. In addition, the system automated route planning, minimized route overlap, and improved vehicle capacity utilization. These findings indicate that integrating the VRPTW method into the MBG Distribution Information System enhances operational efficiency and supports more effective and timely meal distribution.
Analisis Kepuasan Mahasiswa Terhadap Layanan BAAK STMIK WICIDA Menggunakan Metode Servqual Gia Lestari Geaa; Ivan Haristyawan; Rizky Zakariyya Rasyad
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.v4i3.3018

Abstract

The Academic and Student Affairs Administration Office (BAAK) plays an important role in supporting academic services and influencing student satisfaction. However, there is still a gap betwìeìen thìe sìervicìes rìecìeivìed by studìents and thìeir ìexpìectations, making it nìecìessary to ìevaluatìe thìe quality of thìe sìervicìes providìed. This study aims to dìetìerminìe thìe lìevìel of studìent satisfaction with thìe sìervicìes of BAAK at STMIK WICIDA using thìe SERVQUAL mìethod. This rìesìearch ìemployìed a quantitativìe approach by distributing quìestionnairìes to studìents. Thìe collìectìed data wìerìe analyzìed by comparing studìents' pìercìeptions and ìexpìectations basìed on thìe fivìe SERVQUAL dimìensions, namìely tangiblìe, rìeliability, rìesponsivìenìess, assurancìe, and ìempathy. Thìe rìesults indicatìe that all sìervicìe dimìensions havìe nìegativìe GAP valuìes, mìeaning that thìe sìervicìes providìed by BAAK havìe not yìet fully mìet studìents' ìexpìectations. Thìe tangiblìe dimìension has thìe largìest GAP valuìe of -0.68, followìed by rìeliability (-0.23), rìesponsivìenìess (-0.16), assurancìe (-0.12), and ìempathy (-0.07). Thìesìe findings providìe an ovìerviìew of thìe sìervicìe aspìects that should bìe prioritizìed for improvìemìent, particularly thìe tangiblìe dimìension, and can sìervìe as ìevaluation matìerial for thìe institution in improving thìe quality of acadìemic and studìent sìervicìes.
Dashboard Rekomendasi Bundling Produk Berbasis Algoritma Apriori Terintegrasi pada Sistem Point of Sale Akbar Zakaria; Suparyanto
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.v4i3.3021

Abstract

Competition in the minimarket retail business requires owners to implement data-driven promotional strategies rather than relying on intuition. Toko Sahabat, the case study of this research, holds a large volume of sales transaction data that has not been optimally utilized to support business decision-making, making it difficult for the owner to determine which products should be promoted or bundled together. This research aims to implement the Apriori algorithm into a product bundling recommendation dashboard integrated within a web-based Point of Sale (POS) application. The system was built using the Laravel 11 framework and MySQL 8.0 database, using 14,166 transactions collected from December 1, 2025, to June 20, 2026. The Apriori algorithm was used to identify frequent itemsets and generate association rules based on support, confidence, and lift ratio values. Using a minimum support of 2% and minimum confidence of 30%, the system generated 17 valid association rules, all with lift ratio values greater than one, the strongest being between Gula Pasir Gulaku and Kopi Kapal Api (confidence 90.27%, lift 5.42), which were mapped into five ready-to-use bundling package recommendations for shelf arrangement and promotional strategies. Black box testing across eight scenarios achieved a 100% success rate, confirming that all system functions operate as designed and are ready for operational use. The scientific contribution of this research lies in the direct integration of the Apriori algorithm into an active POS system, enabling bundling recommendations to be generated automatically and continuously from real transaction data, in contrast to prior studies that typically present association analysis results manually and separately from the store's operational system.
Evaluasi Komparatif Forecasting PNBP BLU Berbasis SARIMAX terhadap Target Renstra Roberto; Abdul Hamid Arribathi
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.v4i3.3022

Abstract

This study evaluates forecasting methods for predicting BLU X non-tax state revenue and examining its alignment with the 2025-2029 strategic plan targets. The dataset consists of monthly PNBP transactions from January 2021 to April 2026 aggregated by month, Chart of Account (COA), and department. Four approaches are compared: Holt-Winters, SARIMAX, XGBoost, and bottom-up forecasting based on dominant COA groups. Model performance is assessed on the January 2025-April 2026 test period using Mean Absolute Error, Root Mean Squared Error, and Mean Absolute Percentage Error. The results indicate that SARIMAX(1,1,1)x(0,0,0,0) performs best with a MAPE of 17.97%. The selected model is then refitted using the complete historical dataset and applied to forecast revenue through December 2029. The comparison with strategic plan targets reveals a narrow gap in 2025-2026, while 2027-2029 projections are slightly above the target. These findings show that forecasting can support evidence-based budgeting, target realism assessment, and monitoring of dominant revenue services.

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