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All Journal PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Pengabdian Dharma Laksana MULTINETICS Jurnal Abdimas Mandiri G-Tech : Jurnal Teknologi Terapan Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Sistem Informasi Jurnal AbdiMas Nusa Mandiri Mitra Akademia: Jurnal Pengabdian Masyarakat Jurnal Media Informatika Transformasi Jurnal Teknologi Sistem Informasi Jurnal Komtekinfo Tensile : Jurnal Pengabdian Kepada Masyarakat SmartComp Journal Information & Computer (JICOM) Jurnal Komtika (Komputasi dan Informatika)
Arip Kristiyanto
Universitas Pamulang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Transportation Other

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Comparison of Random Forest and Support Vector Machine Learning Algorithms in Sentiment Analysis of Gojek User Reviews Sandiva, Tesa Vausia; Kristiyanto, Arip
Jurnal KomtekInfo Vol. 12 No. 4 (2025): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v12i4.669

Abstract

The development of digital technology has brought significant changes across various sectors of life, including transportation. One of the most popular modes of transportation among the public today is online motorcycle taxis, such as Gojek. Gojek continues to innovate to meet customer needs more effectively and to expand its range of services. This study aims to identify the number of positive, neutral, and negative sentiments in a user review dataset, as well as to evaluate the performance of the algorithms used—namely, SVM and Random Forest. The analysis was conducted on 10,000 customer reviews from the Play Store application, resulting in 2,057 positive sentiments, 1,135 neutral sentiments, and 6,295 negative sentiments. The classification model compared the SVM algorithm with the Random Forest algorithm, and the results show that Random Forest achieved better performance, with 91% accuracy compared to SVM’s 89%. These findings demonstrate that Random Forest performs better in handling word distribution within review texts than the SVM method.
PENERAPAN WEBSITE E-COMMERCE GUNA MENINGKATKAN PENJUALAN BUDIDAYA IKAN DESA BUGEL KECAMATAN PADARINCANG Kristiyanto, Arip; Rohmawati, Iroh; Andriansah, Zulfi; Ahmad, Imam
Jurnal AbdiMas Nusa Mandiri Vol. 7 No. 2 (2025): Periode Oktober 2025
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v7i2.6395

Abstract

Serang Regency, covering 170,341.25 ha and consisting of 29 districts, has great potential for aquaculture development, including freshwater, brackish water, and marine farming. The post-pandemic economic condition has affected freshwater fish farmers in Bugel Village, Padarincang District, with a significant decline in both seed and consumption fish sales—up to 80%. The current marketing system still relies on word-of-mouth and WhatsApp status, resulting in limited market access. This community service activity aims to enhance the marketing of fish farming products among P2MKP Tambakan partners. The main activities include developing a web-based e-commerce platform and conducting branding training for partners. The methods used consist of institutional and participatory approaches, discussions, and training sessions. The developed e-commerce system can be accessed through www.tambakanfish.com. Socialization and training were implemented to improve partners’ digital marketing capacity. From five partner respondents, there was a significant increase in understanding of the e-commerce system and product photography techniques, from an average pre-training score of 51.5 to 85.1 post-training. Additionally, sales turnover increased by 12% in October and 18% in November. The results indicate that digitalization supports improved marketing performance and sales. In the future, partnerships with government and private sectors are expected to expand marketing networks through local exhibitions and bazaars.
Smart Aquarium IoT System Dengan Metode Fuzzy Untuk Klasifikasi Kualitas Air Berdasarkan Suhu, Ph, dan Kekeruhan Kristiyanto, Arip
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 4 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i4.5080

Abstract

Dari 1.100 spesies ikan hias air tawar di bumi ini, 400an spesies setidaknya terdapat di Indonesia. Para pencinta ikan hias masih banyak yang belum  memperhatikan hal apa saja yang perlu diperhatikan dalam memelihara ikan hias ini seperti wadah, lingkungan akuarium (air, Ph, suhu, pencahayaan dan pakan). Suhu ideal ikan guppy  kisaran 25° C - 32° C. Nilai pH optimal untuk ikan hias air tawar umumnya berkisar antara 6 sampai 8. Dengan teknologi IoT permasalahan diatas dapat dipecahkan dengan mengembangkan Smart Aquarium IoT System. Sistem ini akan memenejemen kondisi kualitas air dan pakan secara otomatis. Penelitian ini menggunakan NodeMCU sebagai mikrokontroler, sensor pH, sensor suhu, turbidity sebagai inputan dan metode fuzzy tsukamoto sebagai klasifikasi kondisi kualitas air. Ubidots sebagai server Internet of Things. Berdasarkan hasil pengujian pembacaan suhu rata-rata error  0,30 %, sensor pH rata-rata error 0,62 % dan sensor turbidity mampu mendeteksi air keruh dan tidak keruh. Sistem ini dapat dimonitoring secara realtime dan mampu memberikan notifikasi ketika kualitas air rendah. Metode fuzzy tsukamoto dapat diterapkan pada mikrokontroler untuk klasifikasi kualitas air akuarium dan akurasinya mencapai 100%.
Co-Authors Agus Suharto, Agus Andi Romansyah Andi Romansyah Andriansah, Zulfi Angga Pramadjaya Angga Pramadjaya Anwar, Aep Saepul Asep Suryadi Bidani, Maariful Bima Fani Dwi Putranto Dekananta, Dhimas Fadilah, Muhamad Yudi Fajar Malkan Fari Katul Fikriah Febri Setiawan, Billy Fitriyanah, Nur Helen Safitri Hellen Safitri Ikhsan, Novian Imam Ahmad Imam Slamet Inkiriwang, Rully Istiqomah Rohmawati Leo Sandi Madani, Natasya Insanu Muhamad Yudi Fadilah Mulyana Mulyana Mumu Nazmudin Ningsih, Listina Nadhia Nissa, Ika Ima Nurhayati Nurillah, Siti Maryam Pramadjaya, Angga Qomaruzzaman, Jajang Rahayu Mawadatur Rohmah Rahmawati, Iroh Robani, Rojul Rohmawati, Iroh Romansyah, Andi Rully Inkiriwang Safitri, Helen Safitri, Helen Safitri Safitri, Hellen Selly Septiani Selly Septiani Setiawan, Billy Febri Sonia Stevanes Stevanes Stevanes Supiah, Raihan Azzahra Supriyadi, Dede Tesa Vausia Sandiva Tiara Lestari Zahra, Febraurayani Zulfi Andriansah