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All Journal Sistemasi: Jurnal Sistem Informasi IKRA-ITH Informatika : Jurnal Komputer dan Informatika JURIKOM (Jurnal Riset Komputer) Journal of Information Systems and Informatics Journal of Innovation and Future Technology (IFTECH) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer TIN: TERAPAN INFORMATIKA NUSANTARA Academia Open Jurnal Teknik Informatika (JUTIF) JOINTER : Journal of Informatics Engineering Journal La Multiapp Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Indonesian Journal of Innovation Studies Ismart Edu: Jurnal Pendidikan Teknologi Informasi Jurnal Minfo Polgan (JMP) Jurnal Locus Penelitian dan Pengabdian Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Sains Informatika Terapan (JSIT) Innovative: Journal Of Social Science Research Jurnal Penelitian Teknologi Informasi dan Sains The Indonesian Journal of Computer Science Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi FIMERKOM: Journal of Information Systems and Technology
Kristofel Santa
Universitas Negeri Manado
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Aplikasi Permainan 2D Perang Tondano Berbasis Role Playing Game (RPG) Tular, Feonri; Moningkey, Efraim Ronald Stefanus; Santa, Kristofel
JOINTER : Journal of Informatics Engineering Vol 6 No 02 (2025): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v6i02.357

Abstract

This research aims to develop a Role-Playing Game (RPG) that highlights the history of the Tondano War to enhance the understanding of young generations. The Game Development Life-Cycle (GDLC) method was employed, consisting of five stages: initiation, pre-production, production, testing, and release. Data collection involved literature review and observation, with the game tested through blackbox testing on Android and Windows platforms. The results show that the game successfully introduces the history of the Tondano War through interactive narratives presented in chapters of varying difficulty. The game also allows players to strategize in turn-based combat. In conclusion, this game is effective as an educational medium that enriches historical knowledge and offers an engaging experience for young players.
Polynomial Regression Budget Prediction for Minahasa Fire Department: Prediksi Anggaran Dinas Pemadam Kebakaran Kabupaten Minahasa Sondakh, Inggried Rillya; Santa, Kristofel; Moningkey, Efraim Ronald Stefanus
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1861

Abstract

General Background: Public sector budget planning requires data-driven approaches to support service sustainability, particularly for emergency institutions such as regional fire departments. Specific Background: The Minahasa Regency Fire Department budget planning has relied on historical allocations that exhibit fluctuating and non-linear trends across expenditure categories. Knowledge Gap: Previous planning practices have not fully utilized non-linear statistical modeling to interpret historical budget dynamics and medium-term projections. Aims: This study aims to analyze historical budget trends and predict expenditure needs for the 2025–2027 period using a second-order polynomial regression model. Results: Using budget data from 2019–2024, the model successfully captured non-linear expenditure patterns, including a sharp increase in personnel and capital expenditures in 2024, with coefficients of determination of 0.448 for personnel expenditures and 0.409 for capital expenditures, while total projected expenditures approach IDR six billion by 2027. Novelty: This research integrates second-order polynomial regression with an interactive Streamlit-based application for visualizing and interpreting public sector budget projections. Implications: The findings provide an analytical basis for local governments to anticipate medium-term budget requirements, prioritize expenditures, and strengthen data-based financial planning for fire service operations. Highlights • Second-order polynomial modeling captures non-linear expenditure patterns across budget categories• Historical personnel expenditure spikes shape medium-term fiscal projections• Streamlit-based visualization supports data-driven public budget planning Keywords Polynomial Regression; Budget Prediction; Fire Department; Historical Data; Streamlit Application
Priority Queue Algorithm Enhances Public Report Handling Efficiency and Accountability: Algoritma Priority Queue Meningkatkan Efisiensi dan Akuntabilitas Penanganan Laporan Publik Detuage, Rivni; Santa, Kristofel; Moningkey, Efraim R. S.
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1864

Abstract

The mechanism for handling public aspirations and reports in the Minahasa Regency Regional People's Representative Council (DPRD) still faces inefficiency and low accountability due to the manual process. The conventional First-In-First-Out (FIFO) system is unable to differentiate the urgency of reports, resulting in delayed follow-up of critical reports. This study designs and implements a web based Public Information Portal (PIP) that integrates a priority queue algorithm to automatically sort reports based on their urgency. The development method used is the Waterfall method. Test reults sgow significant performance improvements, marked by a recuation in waiting time for high priority reports by more than 50% and increased accuracy of handling based on urgency levels. This system also strengthens public accountability thorugh a real time status tracking feature. By offering a technical solution not found in previous research—namely an automatic prioritization mechanism specifically for managing aspirations within the DPRD—this study fills a research gap and makes a significant contribution to improving service quality and fulfilling the mandate of the Public Information Disclosure Law. Highlights• Priority queue mechanism reduces waiting time for high-priority reports by over 50%.• Automatic urgency-based sorting improves accuracy and responsiveness in report handling.• Real-time status tracking increases public accountability and transparency. KeywordsPublic Information Portal; Priority Queue Algorithm; Regional People's Representative Council; E-Government Transparency; Public Service Efficiency
Interactive Web Geographic Information System Mapping Fire Prone Areas Using Dijkstra Algorithm: Pemetaan Sistem Informasi Geografis Berbasis Web Interaktif Lokasi Rawan Kebakaran Menggunakan Algoritma Dijkstra Moningkey, Efraim R. S.; Ratu, Regina Gloria; Santa, Kristofel
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1865

Abstract

General Background: Fire disasters pose serious risks to public safety, material assets, and environmental sustainability, requiring rapid access to accurate spatial information. Specific Background: In Minahasa Regency, fire-prone area mapping and fire-fighting resource records are still managed manually, limiting information dissemination and slowing emergency response. Knowledge Gap: Existing practices lack an integrated web-based GIS that combines spatial visualization with shortest route analysis for operational fire management. Aims: This study aims to design and develop an interactive web-based Geographic Information System to map fire-prone areas, fire station locations, and water sources while providing shortest route recommendations using the Dijkstra Algorithm. Results: The system was developed using the Waterfall model with PHP, MySQL, and Leaflet.js, and black box testing confirmed that spatial data management, interactive visualization, administrative boundary filtering, and shortest route calculations operated as intended. Novelty: The research introduces the integration of fire-prone area mapping, fire-fighting resource management, and Dijkstra-based route analysis supported by OSRM within a single web GIS platform for Minahasa Regency. Implications: The developed system supports faster spatial information access and decision-making in fire management by providing route and water source recommendations through an interactive GIS interface. Highlights• Manual fire mapping processes were replaced by a centralized web-based GIS platform• Shortest route calculations were generated through integrated Dijkstra and OSRM services• Spatial visualization supported administrative filtering and emergency decision support KeywordsGeographic Information System; Fire Prone Areas; Dijkstra Algorithm; Spatial Mapping; Shortest Route
Web-Based Priority Program Recommendation Using Collaborative Filtering: Rekomendasi Program Prioritas Berbasis Web Menggunakan Collaborative Filtering Pesik, Luisa Maria; Tinambunan, Medi Hermanto; Santa, Kristofel
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1882

Abstract

General Background: Recess activities of regional legislative members function as a formal mechanism for collecting diverse public aspirations related to regional development programs. Specific Background: In Minahasa Regency, the determination of priority programs derived from recess activities has traditionally relied on manual procedures that are prone to subjectivity and inconsistency. Knowledge Gap: Despite extensive studies on collaborative filtering in various domains, its application for managing and prioritizing legislative recess programs within local government contexts remains limited. Aims: This study aims to design and implement a web-based priority program recommendation system for DPRD recess activities using an Item-Based Collaborative Filtering algorithm. Results: The system was developed using the Waterfall method and implemented with PHP and MySQL, incorporating modules for aspiration management, rating, authentication, and recommendation generation. Black box testing across core functionalities confirmed that the system operated according to specifications and supported structured priority ranking of programs. Novelty: The research introduces the application of Item-Based Collaborative Filtering to DPRD recess aspiration management, replacing a previously manual and subjective process. Implications: The proposed system provides a structured, transparent, and data-driven approach to supporting legislative decision-making in prioritizing public programs at the regional level. Highlights• The developed system organizes recess aspirations into measurable program priorities• Item-based recommendation logic supports consistent ranking of proposed programs• Web-based architecture enables structured management of legislative aspiration data KeywordsCollaborative Filtering; Recommendation System; DPRD Recess; Priority Program; Web-Based Application
Sistem Pendukung Keputusan Pemilihan Sepeda Motor Bekas Menggunakan Algoritma Analytical Hierarchy Process Muhammad Lukmansyah Sulaiman; Glenn Maramis; Kristofel Santa
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 3 (2025): Volume 9 Nomor 3 Agustus 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i3.14970

Abstract

Banyak individu mengalami kendala finansial dalam membeli sepeda motor baru sehingga memilih motor bekas sebagai alternatif. Untuk membantu proses pemilihan yang tepat, dikembangkan Sistem Pendukung Keputusan (SPK) menggunakan metode prototype dan Analytical Hierarchy Process (AHP). Metode AHP digunakan karena mampu menyelesaikan pengambilan keputusan yang kompleks melalui pendekatan hierarki dan perbandingan berpasangan. Hasil perhitungan menunjukkan bahwa kriteria harga memiliki bobot tertinggi sebesar 40%, diikuti oleh kapasitas mesin sebesar 30%, dan tahun kendaraan sebesar 30%. Nilai Consistency Ratio (CR) berada di bawah 0,1, yang menandakan bahwa perbandingan antar kriteria bersifat konsisten. Evaluasi sistem menggunakan standar ISO 25010 menunjukkan bahwa SPK memenuhi aspek fungsionalitas, keandalan, dan kemudahan penggunaan, dengan tingkat kepuasan pengguna sebesar 83,3%. Dengan demikian, sistem yang dikembangkan terbukti layak dan efektif dalam membantu proses pengambilan keputusan pemilihan sepeda motor bekas.
Penerapan Algoritma Binary Search pada Aplikasi JDIH Universitas Negeri Manado Julio Tabea; Kristofel Santa; Alfiansyah Hasibuan
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 10 No. 1 (2026): Volume 10 Nomor 1 Januari 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v10i1.15620

Abstract

Universitas Negeri Manado (UNIMA) sebagai institusi pendidikan memiliki berbagai peraturan dan dokumen hukum yang mengatur tata tertib civitas akademika. Namun, ketiadaan wadah terpusat menyebabkan akses terhadap informasi hukum menjadi lambat dan tidak efisien. Penelitian ini bertujuan untuk membangun aplikasi Jaringan Dokumentasi dan Informasi Hukum (JDIH) berbasis web di lingkungan UNIMA guna memfasilitasi akses dokumen hukum yang transparan dan akurat sesuai Undang-Undang Nomor 14 Tahun 2008 tentang keterbukaan informasi publik. Metode pengembangan sistem yang digunakan adalah Prototyping, yang memungkinkan interaksi intensif antara pengembang dan pengguna dalam merancang antarmuka dan fitur. Fitur unggulan dalam sistem ini adalah kemampuan pencarian kata yang di dalam dokumen PDF. Fitur ini diimplementasikan menggunakan pustaka python PyPDF2 dan Pytesseract untuk ekstraksi teks dan algoritma Binary Search untuk proses pencarian data. Pemilihan Binary Search didasarkan pada keunggulannya dalam kecepatan pencarian pada data terurut dibandingkan Linear Search. Hasil penelitian ini adalah sebuah sistem JDIH yang mampu mempercepat proses pencarian dokumen hukum, meningkatkan efisiensi pengelolaan data, serta menjadi wadah dokumen hukum yang efektif bagi civitas akademika UNIMA.
A Digital Image Processing–Based Moler Disease Detection System for Shallot Leaves Wahyuni, Reski; Hasibuan, Alfiansyah; Santa, Kristofel
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2738

Abstract

This study aims to design and develop a leaf moler disease detection system on shallots (Allium cepa L.) based on digital image processing in Enrekang Regency, South Sulawesi. Moler disease caused by the fungus Fusarium oxysporum f. sp. cepae is one of the main factors that reduce the quality and productivity of shallots. So far, disease identification is still done manually through direct observation by farmers, which is subjective and time-consuming. To overcome this problem, this study applies the Convolutional Neural Network (CNN) algorithm to automatically classify shallot leaf images into two categories, namely healthy and infected with moler disease. The number of datasets used is 502 images, consisting of 251 healthy images and 251 infected images, with data division of 70% for training, 15% for validation, and 15% for testing. The CNN architecture used consists of convolution, pooling, flatten, and fully connected layers with ReLU and sigmoid activation functions in the output layer. The training process used the Adam optimizer with a learning rate of 0.001 and a binary cross-entropy loss function. Test results showed a training accuracy of 97.14%, a validation accuracy of 94.73%, and a testing accuracy of 97.37%, indicating the model has a good level of precision and generalization ability without overfitting. This system is implemented as a Flask-based web application that allows users to upload leaf images and obtain detection results instantly. This system is expected to help farmers detect diseases more quickly and increase shallot productivity in Enrekang Regency.
The Best Web-Based Employee Assessment Application Using the SAW Method Tendean, Chelsea Aprilia; Santa, Kristofel; Moningkey, Efraim Ronald Stefanus
Journal La Multiapp Vol. 7 No. 1 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i1.2862

Abstract

This study aims to develop a web-based system to evaluate the performance of top employees at the Secretariat of the Minahasa Regency Regional People's Representative Council. Previously, the performance evaluation process was conducted manually, resulting in inefficiency in data management, low transparency, and subjectivity in decision-making. To address these issues, a decision support system was designed and implemented using the Simple Additive Weighting (SAW) method to calculate the final score for each employee based on predetermined performance criteria. This study employed a structured system development approach, which included the stages of needs analysis, system design, implementation, testing, and maintenance. The system was developed using a web-based programming environment supported by a relational database to manage employee data, assessment criteria, and evaluation results. Employee performance assessments were conducted based on several criteria, including discipline, attendance, responsibility, and productivity, each of which was weighted according to its level of importance. The system performed data normalization, weighting, and ranking to objectively determine the best-performing employees. Functional testing using the black box method showed that all system features, including user authentication, data processing, performance evaluation, and report generation, functioned as expected. The results of the study show that the developed system is able to increase efficiency, accuracy, and transparency in the employee performance assessment process, and can be used as a reliable decision-making tool for management in selecting high-performing employees and improving overall organizational performance.
A Web-Based Disaster Report Recapitulation System Using the Simple Additive Weighting Method Palandeng, Fanuel Juventino; Kumajas, Sondy Campvid; Santa, Kristofel
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1410

Abstract

Many regional disaster management agencies still manage incident reporting through conventional, semi-manual workflows (e.g., spreadsheets and paper archives). These practices often create repetitive recapitulation tasks, increase the likelihood of data inconsistency, and produce reports that remain largely descriptive—limiting analytical support for timely, evidence-based decision-making. To address this limitation, this study develops a web-based disaster reporting and recapitulation system integrated with the Simple Additive Weighting (SAW) method to generate an event-level Impact Index for prioritization. The system is built using a Prototyping approach, enabling iterative refinement through user feedback to ensure operational fit. SAW is applied using weighted criteria—number of casualties, affected families, damage level, and disaster type—so that each recorded event can be scored and ranked automatically. In contrast to many prior disaster-related SAW applications that emphasize beneficiary selection or aid distribution, this research applies SAW for internal managerial evaluation, prioritizing disaster events themselves to support organizational review and mitigation planning. A case study at BPBD Minahasa Regency demonstrates the system’s feasibility and performance: Black Box Testing achieved a 100% functional success rate, and manual SAW verification confirmed that automated Impact Index outputs are mathematically consistent with theoretical calculations. Overall, the proposed application offers a structured and transparent analytical tool to standardize reporting, accelerate recapitulation, and strengthen decision support through objective impact-based ranking.
Co-Authors Aldo Napu Alfiansyah Hasibuan Alfiansyah Hasibuan Andi R. Widyastuti Arbie, Arif Tegar Elgifari Atuna, Annisa Salsabilah Audy Aldrin Kenap Bojoh, Cristy E. P. Daeng, Mushendra Dani Orlando Daniel Riano Kaparang Detuage, Rivni Djami Olii Dotulong, Gratia Whaitney Injili Ezra Matthew Warouw Runturamby Ferdinan I. Sangkop Filisia R. Terok Gladly Caren Rorimpandey Glenn Maramis Harisondak, Della Deviani Hasibuan, Alfiansyah Inda, Inda Irene Realyta Halldy Trosi Tangkawarow Julio Tabea Kambey, Waraney Maurits Kawuwung, Prillya Chrisanta Esthefania Kowaas, Jonathan Krina Crisila T. Mawuntu Kumajas, Sondy C. Kumajas, Sondy Campvid Maramis, Glenn David Paulus Martina Lorensa Menden, Lisa Moningkey, Efraim Moningkey, Efraim R. S. Moningkey, Efraim Ronald Stefanus Muhammad Lukmansyah Sulaiman Nanda, Agus Estepen Nasib Marbun Ngalo, Semuel Fendy Ningsi, Indi Rahayu Olivia Kembuan Pagala, J. Rifaldo Palandeng, Fanuel Juventino Panambunan, Stiven Pandoh, Kevin Mclaren parabelem tinno dolf rompas Pateh, Qnardo Delon Peggy Veronica Togas Pesik, Luisa Maria Pongmangatta, Tiara Quido Conferti Kainde Rahanubun, Basilius Mario Vikranta Ranti, Marthasya Chantika Putri Ratu, Regina Gloria Rumayar, Eroldy Rumengan, Maria Rina Rumondor, Geralda Lucia Saknohsiwy, Lorida Julensa Holiba Sibarani, Gitarosalina Sondakh, Inggried Rillya Sondy C. Kumajas Tagah, Christenia Tendean, Chelsea Aprilia Tinambunan, Medi Hermanto Tiwi, Heri Susan Tular, Feonri Tumbo, Sinta Vivi Peggie Rantung Wagey, Imanuel Hiskia Wahyuni, Reski Waraney Maurits Kambey Wijayanti, Wilma Wowor, Hanna Elisabeth