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All Journal Journal of Information Systems and Informatics INOVTEK Polbeng - Seri Informatika
Kristofel Santa
Manado State University
Computer Science & IT

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A Web-Based Disaster Report Recapitulation System Using the Simple Additive Weighting Method Fanuel Juventino Palandeng; Sondy Campvid Kumajas; Kristofel Santa
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.
YOLOv8-Based Object Detection for Automated Cattle Sex Identification in Tomohon City Mario Trinto Risky Rettob; Kristofel Santa; Gladly Caren Rorimpandey
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 2 (2026): May
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/05dd8843

Abstract

Accurate identification of cattle sex is essential in livestock management to support proper data recording and strategic decision-making. Conventional identification methods are often time-consuming and dependent on human expertise, which may reduce efficiency and accuracy. Therefore, this study aims to develop an automated cattle sex identification system using an object detection approach based on the YOLOv8 algorithm. The dataset consisted of primary images collected directly in Tomohon City using a smartphone camera and secondary images obtained from the Roboflow platform. All images were annotated with bounding boxes and classified into two categories: male and female cattle. The dataset was divided into training, validation, and testing sets with a ratio of 70:20:10. Model training and evaluation were conducted using the Roboflow platform, and the final model was integrated into a web-based system to enable real-time detection. The experimental results show that the proposed model achieved 97.1% precision, 92.5% recall, and 98.7% mean average precision (mAP). These findings indicate that the system performs reliably and can serve as an effective tool to support livestock data management in Tomohon City.
Development of a SAW-Based Student Registration Website at SD Negeri 6 Tondano Lorentza Claudia Rianti Peres Tawaa; Kristofel Santa; Glenn David Paulus Maramis
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 11 No. 2 (2026): May
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/xq90y471

Abstract

The development of a web-based information system for the new student registration process and school profile at SDN 6 Tondano was carried out using a research and development (R&D) approach. This system is designed to streamline administrative processes, improve efficiency, and enhance the transparency of school services. Key features include an informative homepage, a user-friendly registration page, and a student and teacher data management module integrated with the Simple Additive Weighting (SAW) algorithm to support an objective and fair student selection process. The use of the SAW method allows for the combination of various assessment indicators into a single comprehensive score that assists the school in making decisions regarding the selection of prospective students. The implementation of this system is expected to improve operational efficiency, strengthen communication between schools and parents, and support digital transformation in the elementary education sector. Research results indicate that the developed system effectively and sustainably meets schools’ needs and contributes to the delivery of modern and reliable educational services.
Co-Authors Fanuel Juventino Palandeng Gladly Caren Rorimpandey Glenn David Paulus Maramis Lorentza Claudia Rianti Peres Tawaa Mario Trinto Risky Rettob Sondy Campvid Kumajas