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All Journal JOIN (Jurnal Online Informatika) Jambura Journal of Informatics Jurnal Informatika dan Rekayasa Perangkat Lunak
Ishak, Sahrial Ihsani
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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Multi-Platform Detection of Melon Leaf Abnormalities Using AVGHEQ and YOLOv7 Ishak, Sahrial Ihsani; Priandana, Karlisa; Wahjuni, Sri
JOIN (Jurnal Online Informatika) Vol 10 No 1 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i1.1441

Abstract

This research develops a multiplatform system for detecting abnormalities in melon leaves, integrating an Internet of Things (IoT) approach using Jetson Nano, a Streamlit-based website, and a mobile application for real-time monitoring. The system employs preprocessing with Average Histogram Equalization (AVGHEQ) to enhance image quality, followed by modeling with the YOLOv7 algorithm on a dataset of 469 training images and 52 test images, validated through 5-fold cross-validation. The model achieved a mean Average Precision (mAP) of 84% with an inference detection time of 4.5 milliseconds. Implementation on Jetson Nano resulted in a 25% increase in CPU usage (from 25% to 50%) and a 20% increase in RAM usage (from 70% to 90%). By combining these platforms and leveraging robust data preprocessing and modeling techniques, the system provides an accessible, efficient, and scalable solution for agricultural monitoring, enabling farmers to address plant health issues promptly and effectively.
Analisis Sentimen terhadap Pemerintahan Prabowo–Gibran menggunakan IndoBERT dan LDA Ishak, Sahrial Ihsani; Arnilia, Okma; Widodo, Tri; Tatwa, I Gusti Nyoman Agung Bisma
Jambura Journal of Informatics VOL 7, N0 2: OKTOBER 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jji.v1i2.34895

Abstract

This study analyzes public perception of the Prabowo–Gibran administration through online news coverage using a Natural Language Processing (NLP) approach. Data were collected from credible news portals such as Indonesia News and Detik, totaling 195 articles. The analysis was conducted in two stages: first, IndoBERT was used to classify the sentiment into positive, negative, and neutral; second, Latent Dirichlet Allocation (LDA) was applied to identify the main topics driving rage. Sentiment results showed that most topics, particularly those related to the economy, public policy, and governance, were dominated by negative sentiment (80%), while positive sentiment accounted for 15.9% and neutral sentiment for 4.1%. These findings indicate public criticism and concern regarding the effectiveness of policies and economic stability. The combined IndoBERT and LDA approach proved effective in providing a comprehensive understanding of public opinion dynamics in the digital era. It can serve as a consideration for the government in formulating more responsive and transparent communication strategies.Penelitian ini menganalisis persepsi publik terhadap kepemimpinan Prabowo–Gibran melalui pemberitaan media online menggunakan pendekatan Natural Language Processing (NLP). Data dikumpulkan dari portal berita kredibel seperti Antara News dan Detik dengan total 195 artikel. Analisis dilakukan dalam dua tahap: pertama, IndoBERT digunakan untuk mengklasifikasikan sentimen berita menjadi positif, negatif, dan netral; kedua, Latent Dirichlet Allocation (LDA) diterapkan untuk mengidentifikasi topik utama yang mendominasi pemberitaan. Hasil sentimen menunjukkan bahwa sebagian besar topik, terutama terkait ekonomi, kebijakan publik, dan pemerintahan, didominasi oleh sentimen negatif (80%), sedangkan sentimen positif tercatat 15,9% dan netral 4,1%. Temuan ini mengindikasikan adanya kritik dan keprihatinan publik terhadap efektivitas kebijakan dan stabilitas ekonomi. Hasil menunjukkan bahwa sebagian besar topik, terutama terkait ekonomi, kebijakan publik, dan pemerintahan, didominasi oleh sentimen negatif. Temuan ini mengindikasikan adanya kritik dan keprihatinan publik terhadap efektivitas kebijakan dan stabilitas ekonomi. Pendekatan kombinatif IndoBERT dan LDA terbukti efektif dalam memberikan pemahaman komprehensif mengenai dinamika opini publik di era digital, serta dapat menjadi bahan pertimbangan bagi pemerintah dalam merumuskan strategi komunikasi yang lebih responsif dan transparan.
Clustering of Provincial Health Vulnerability Levels in Indonesia Using the K-Means Method Arnilia, Okma; Ishak, Sahrial Ihsani; Widodo, Tri; Nyoman Agung Bisma Tatwa, I Gusti
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2026): Volume 7 Number 1 March 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v7i1.1469

Abstract

This study aims to classify the health vulnerability levels of 38 provinces in Indonesia based on health and socio-economic indicators in 2024, including the number of hospitals, access to adequate sanitation, access to safe drinking water, stunting prevalence, number of health facilities, population size, and the percentage of poor population. The analysis began with data normalization using the z-score method to standardize variable scales and prevent dominance by indicators with larger value ranges. Following normalization, the optimal number of clusters was determined using the Elbow method by examining the decrease in inertia across different k-values. Based on the inertia pattern and cluster stability, the optimal number of clusters was identified as K=4, which adequately represents the variation in health vulnerability. The clustering results were subsequently visualized in a spatial map using Indonesia’s provincial administrative boundaries. The visualization revealed clear geographical variation across regions, with Cluster 1 representing provinces with very good health conditions, Cluster 2 good conditions, Cluster 3 moderate conditions, and Cluster 4 provinces requiring special attention regarding health indicators. These findings provide a comprehensive overview of health vulnerability distribution in Indonesia and are expected to inform policymakers and stakeholders in prioritizing region-based health interventions, strengthening health development strategies, and promoting more equitable national health services.
Co-Authors Arnilia, Okma Karlisa Priandana Nyoman Agung Bisma Tatwa, I Gusti Sri Wahjuni Tatwa, I Gusti Nyoman Agung Bisma Tri Widodo