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All Journal Instal : Jurnal Komputer Jurnal Pengabdian Masyarakat IPTEK
Jelly Rolleys Sitompul
Universitas Pembangunan Panca Budi
Computer Science & IT Decision Sciences, Operations Research & Management

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Pemberdayaan Digital Untuk Mendukung UMKM Pertanian dalam Pemasaran Hasil Panen di Pedesaan Menggunakan Apliksi “Jangkrik iConnect” Muhammad Irfan Sarif; Ramlan Marbun; Maulisa Syahputri; Jelly Rolleys Sitompul
Jurnal Pengabdian Masyarakat IPTEK Vol. 6 No. 1 (2026): Edisi Januari 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/abdi.v6i1.12459

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) sektor pertanian memiliki peran strategis dalam mendukung ketahanan pangan dan perekonomian nasional, khususnya di wilayah perdesaan. Namun demikian, masih banyak UMKM pertanian yang menghadapi kendala serius dalam pemanfaatan teknologi digital akibat keterbatasan infrastruktur. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan pendekatan digital sebagai solusi pendukung pengembangan UMKM pertanian di daerah yang terbatas dari segi penjualan, biaya promosi yang tinggi, dan dukungan teknis yang minim. Hambatan ini secara langsung mempengaruhi produktivitas dan potensi pertumbuhan bisnis. Pengabdian ini bertujuan untuk merancang sebuah solusi inovatif bernama "Jangkrik i-connect," yaitu sebuah platform digital yang menyediakan promosi, penjualan, monitoring, serta model bisnis yang fleksibel. Metode ini digunakan dapat menjadi sala satu solusi bagi UMKM untuk bertumbuh dan meningkatkan efisiensi operasional melalui adopsi teknologi digital.
Optimization of Indosat's Fiber to the Home (FTTH) Network for Customer Satisfaction Using the Random Method Forest and Naïve Bayes Jelly Rolleys Sitompul; Muhammad Iqbal; Muhammad Irfan Sarif
Bahasa Indonesia Vol 18 No 06 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v18i06.536

Abstract

Currently, customer satisfaction is a crucial indicator in evaluating the quality of Fiber to the Home (FTTH) services. This study aims to analyze customer satisfaction with Indosat HiFi services and compare the performance of the Random Forest and Gaussian Naive Bayes algorithms in predicting customer satisfaction levels. The research dataset consists of Quality of Service (QoS) parameters and customer operational data, including latency, throughput, packet loss, downtime, response time, and complaint count. The data was processed using a Machine Learning approach through preprocessing, model training, and performance evaluation stages. The research results showed that Random Forest produced the best performance with 98.8% accuracy, 100% recall, 99.4% F1-score, and 95.9% CV Mean. Meanwhile, Gaussian Naïve Bayes obtained 97.6% accuracy, 98.8% F1-score and 95.2% CV Mean. The research findings show that service quality and user experience factors influence the level of customer satisfaction. The resulting model has great potential to support data-based decision making to improve the quality of FTTH services. The research data was processed and then tested with a ratio of 80:20. Model evaluation was carried out using accuracy, recall, F1-score and cross validation.
Co-Authors Maulisa Syahputri Muhammad Iqbal Muhammad Irfan Sarif Ramlan Marbun