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All Journal TIN: TERAPAN INFORMATIKA NUSANTARA
Harson Kapoh
Politeknik Negeri Manado, Kota Manado
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Analisis Performa YOLOv8 dan Marker Clustering pada Sistem Terintegrasi Deteksi Dini Hama Padi dan Pengaduan Petani Berbasis Mobile dan Web Melody Putri Salzabila Gigir; Aksai Saputra; Harson Kapoh; Maksy Sendiang; Anthoinete Waroh
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9597

Abstract

The escalation of pest attacks on rice commodities is a serious threat that requires immediate mitigation response. The main problem found in the field is the slow flow of information due to a manual reporting system that is fragmented between farmers and the agricultural department administration. This study aims to design an integrated geographic information system that combines object detection capabilities based on artificial intelligence on mobile devices with a web-based complaint management dashboard. The research location was conducted at the North Sulawesi Protection Center for Food Crops and Horticulture (BPPMTPH). The method used was Prototyping with a focus on modeling spatial data flows and system functionality testing analysis techniques. The proposed technical solution implements the You Only Look Once (YOLO) algorithm through a cloud-based application programming interface for automatic pest classification. The results of the study showed that the built client-server architecture was able to integrate geographic labeling features accurately. The implementation of the Marker Clustering method on the web side proved effective in simplifying the visualization of dense pest distribution data into systematic information. This system successfully eliminated the need for manual location authentication, allowing damage metrics and field coordinate points to be distributed to the central database instantly.Data alignment between visual reports and statistics of this area provides strong support for authorities in making more responsive pest control decisions.
Pengembangan Sistem Informasi dan Monitoring Inventaris Berbasis Mobile untuk Meningkatkan Efektivitas Pengelolaan Aset Refandi Asiking; Antonius P.G. Manginsela; Harson Kapoh
TIN: Terapan Informatika Nusantara Vol 7 No 3 (2026): August 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i3.10248

Abstract

Advances in information technology are driving companies to implement digital systems for inventory management and asset monitoring. PT PLN Nusa Daya’s Sulawesi 1 Operational Unit in Tikala still relies on manual processes, which result in reporting delays, recording errors, and limitations in monitoring the condition and location of assets. This study aims to develop a mobile-based inventory information and monitoring system (SI-INVADA) using Flutter to improve the effectiveness of asset management. The method used is the Agile approach with a simplified Scrum framework, including the creation of a product backlog, the execution of sprints, and sprint reviews. Data collection techniques were conducted through observation, documentation, and literature review. System testing utilized Black Box Testing to ensure functional compliance and the System Usability Scale (SUS) to evaluate usability. The results showed that all system functions operated as required, with a 100% success rate in Black Box Testing and an average system response time of 1.37 seconds. The SUS evaluation yielded an average score of 86.7, which falls into the “Acceptable” category, with an “Excellent” rating and a grade of B. The system provides features for inventory management, monitoring of asset condition and location, maintenance history, and an integrated reporting dashboard. Thus, SI-INVADA has met functional and usability requirements and provided a solution to the challenges of manual asset management in terms of record-keeping, information retrieval, and report generation.
Co-Authors Aksai Saputra Anthoinete Waroh Antonius P.G. Manginsela Maksy Sendiang Melody Putri Salzabila Gigir Refandi Asiking