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Journal : JOURNAL OF SCIENCE AND SOCIAL RESEARCH

SENTIMENT ANALYSIS OF PUBLIC COMMENTS ON THE FREE NUTRITIOUS MEAL PROGRAM USING A RULE-BASED APPROACH Iqbal, Muhammad; Sibuea, Mustika Fitri Larasati; Harahap, Indra Ramadona
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3994

Abstract

Abstract: The Free Nutritious Meal Program (MBG) is a government initiative aimed at improving children’s nutrition and reducing stunting in Indonesia. This study applies a rule-based sentiment analysis approach to evaluate public opinion on the program by analyzing YouTube comments. The dataset was processed through standard text preprocessing techniques, including case folding, stopword removal, and emoji filtering. Sentiment classification was performed using a keyword-based labeling system that categorized comments into positive, negative, and neutral classes. The classification results, visualized using a bar chart, revealed that neutral sentiment dominated the overall public discourse. This suggests that most users expressed uncertainty, factual observations, or non-judgmental questions about the program. Positive sentiment followed, reflecting public support and appreciation for the initiative’s goals. In contrast, negative sentiment accounted for the smallest portion, mainly expressing concerns about food safety and implementation. This study demonstrates that a simple and interpretable rule-based model, when combined with effective preprocessing, can serve as a practical and efficient tool for large-scale public sentiment monitoring. The visualization results provide initial insights for policymakers to improve communication strategies and address public concerns regarding the MBG program. Keywords: Sentiment Analysis; Public Opinion; Free Nutritious Meal Program (MBG); Stunting Reduction; Policy Evaluation. Abstrak: Program Makan Bergizi Gratis (MBG) merupakan inisiatif pemerintah untuk meningkatkan gizi anak dan menurunkan angka stunting di Indonesia. Penelitian ini bertujuan mengevaluasi opini publik terhadap program tersebut melalui analisis komentar di platform YouTube dengan pendekatan analisis sentimen berbasis aturan (rule-based). Data dianalisis melalui tahapan preprocessing teks, seperti case folding, penghapusan stopword, dan penyaringan emoji. Klasifikasi sentimen dilakukan menggunakan sistem pelabelan berbasis kata kunci yang membagi komentar ke dalam tiga kategori: positif, negatif, dan netral. Hasil klasifikasi yang divisualisasikan dalam grafik batang menunjukkan bahwa sentimen netral mendominasi komentar publik, mencerminkan ketidakpastian, pertanyaan, atau tanggapan informatif tanpa opini eksplisit. Sentimen positif berada di urutan kedua dan menunjukkan dukungan terhadap program, sementara sentimen negatif paling sedikit, umumnya berisi kekhawatiran terkait pelaksanaan dan keamanan pangan. Temuan ini menunjukkan bahwa pendekatan klasifikasi sederhana yang dipadukan dengan preprocessing yang efektif dapat menjadi alat yang efisien untuk memantau opini publik secara luas. Visualisasi hasil dapat menjadi dasar bagi pengambil kebijakan untuk menyusun strategi komunikasi yang lebih responsif terhadap persepsi masyarakat. Kata kunci: Analisis Sentimen; Opini Publik; Program Makanan Bergizi Gratis (MBG); Pengurangan Stunting; Evaluasi Kebijakan
DESIGN OF REAL-TIME OLT MONITORING FOR GPON CONGESTION DETECTION Marpaung, Hari Jalsa; Ramadhani, Andrew; Harahap, Indra Ramadona
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.5833

Abstract

Abstract: This research aims to design and implement a web-based Optical Line Terminal (OLT) network monitoring system to detect congestion in real-time on Gigabit Passive Optical Network (GPON) architecture. The main problem in GPON networks is the increase in customer traffic which causes bandwidth bottlenecks and decreases Quality of Service (QoS). The research methodology includes analysis of OLT performance parameters (throughput, utilization, packet loss, latency), design of a system architecture based on SNMP and REST API, development of a monitoring dashboard using a web framework, and testing in an operational network environment. The developed system is able to display PON port status, bandwidth utilization level, and automatic notification when the congestion threshold is exceeded. The test results show that the system can detect an increase in utilization above 80% with a response time of less than 5 seconds. The implementation of this system increases the effectiveness of network monitoring and speeds up the troubleshooting process by administrators. Keywords: Network Monitoring; OLT; GPON; Congestion; Real-Time. Abstrak: Penelitian ini bertujuan merancang dan mengimplementasikan sistem monitoring jaringan Optical Line Terminal (OLT) berbasis web untuk mendeteksi congestion secara real-time pada arsitektur Gigabit Passive Optical Network (GPON). Permasalahan utama pada jaringan GPON adalah meningkatnya trafik pelanggan yang menyebabkan bottleneck bandwidth dan penurunan Quality of Service (QoS). Metodologi penelitian meliputi analisis parameter performa OLT (throughput, utilization, packet loss, latency), perancangan arsitektur sistem berbasis SNMP dan REST API, pengembangan dashboard monitoring menggunakan framework web, serta pengujian pada lingkungan jaringan operasional. Sistem yang dikembangkan mampu menampilkan status port PON, tingkat utilisasi bandwidth, dan notifikasi otomatis ketika threshold congestion terlampaui. Hasil pengujian menunjukkan bahwa sistem dapat mendeteksi kenaikan utilisasi di atas 80% dengan waktu respons kurang dari 5 detik. Implementasi sistem ini meningkatkan efektivitas monitoring jaringan serta mempercepat proses troubleshooting oleh administrator. Kata Kunci: Monitoring Jaringan; OLT; GPON; Congestion; Real-Time.