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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 Journal Zetroem 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%.
Development of an Air Quality Classification System Using SMOTE-Based Random Forest and XAI Analysis Arip Kristiyanto; Hirawati Lubis
ZETROEM Vol 8 No 1 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i1.7586

Abstract

South Tangerang City is a critical environmental issue that requires an accurate and transparent classification system. This study aims to develop an air quality classification model using a machine learning algorithm integrated with data balancing techniques and model interpretation methods. The methodology used includes pre-processing of Air Pollutant Standard Index (ISPU) data for the 2020–2022 period into three categories: Good, Moderate, and Unhealthy. The dataset used is 1096, Synthetic Minority Over-sampling Technique (SMOTE) is applied to handle class imbalance, and hyperparameter optimization is performed using GridSearchCV. The experimental results show that the Random Forest algorithm outperforms the baseline SVM and KNN models, achieving an accuracy of 0.81 and an F1-Score of 0.75 after SMOTE and tuning. Explainable AI (XAI) analysis using SHAP reveals that sulfur dioxide (SO₂) is the most dominant feature influencing model decisions, and it is spatially correlated with industrial activities and heavy transportation in the South Tangerang area. The final model was then deployed to the Hugging Face Spaces cloud platform via the Gradio interface to provide publicly accessible classification services. This study demonstrates that integrating Random Forests and SHAP produces a classification system that is not only highly performant but also scientifically transparent, supporting air pollution mitigation.
Pemberdayaan Masyarakat Sawah Luhur melalui Pengolahan Limbah Cangkang Kerang Mendorong Keberlanjutan Ekonomi dan Lingkungan Arip Kristiyanto; Rahmawati, Iroh; Saputra, Alfian Ady; Pangestu, Nandana Dwiki; Rusdiana, Dian; Fadilah, Muhamad Yudi
Jurnal Abdimas Mandiri Vol. 10 No. 1 (2026)
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v10i1.6537

Abstract

Wilayah pesisir Sawah Luhur menghadapi permasalahan serius terkait penumpukan limbah cangkang kerang yang berpotensi mencemari lingkungan dan menurunkan kualitas hidup masyarakat sekitar. Kondisi ini menunjukkan perlunya solusi inovatif yang tidak hanya mampu mengurangi dampak pencemaran, tetapi juga memberikan nilai tambah secara ekonomi. Topik pengabdian masyarakat ini dipilih karena limbah cangkang kerang memiliki potensi besar untuk diolah menjadi produk bernilai jual, sehingga mampu menciptakan sumber pendapatan alternatif bagi masyarakat pesisir sekaligus mendorong terwujudnya pembangunan berkelanjutan. Metode pelaksanaan kegiatan dilakukan melalui pendekatan community empowerment yang berbasis partisipasi aktif masyarakat. Tahapan pelaksanaan mencakup sosialisasi mengenai dampak limbah dan peluang pemanfaatannya, pelatihan teknis pengolahan cangkang kerang menjadi produk bernilai ekonomi seperti batako, pendampingan proses produksi, serta pembentukan kelompok usaha kecil berbasis komunitas. Dengan metode ini, masyarakat tidak hanya memperoleh keterampilan baru, tetapi juga didorong untuk berkolaborasi dalam mengembangkan usaha bersama. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan dan keterampilan masyarakat dalam mengelola limbah cangkang kerang, terbentuknya kelompok usaha mikro yang mampu menghasilkan produk bernilai tambah, serta berkurangnya pencemaran lingkungan pesisir akibat penumpukan limbah. Program ini membuktikan bahwa pemberdayaan masyarakat berbasis pengolahan limbah dapat memberikan manfaat ganda, yakni meningkatkan kesejahteraan ekonomi rumah tangga nelayan dan menjaga kelestarian lingkungan. Selanjutnya bertujuan meningkatkan kapasitas manajemen keuangan anggota UMKM Rumah Produksi Kerang Hijau melalui pelatihan dan penerapan sistem yang efektif. Hasil kuisioner menunjukkan terjadi peningkatan pemahaman, nilai  pre-test sebesar 52,7 sedangkan post-test meningkat menjadi 86,9.
Co-Authors Aep Saepul Anwar Agus Suharto, Agus Andi Romansyah Andi Romansyah Andriansah, Zulfi Angga Pramadjaya 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 Hirawati Lubis 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 Pangestu, Nandana Dwiki Qomaruzzaman, Jajang Rahayu Mawadatur Rohmah Rahmawati, Iroh Robani, Rojul Rohmawati, Iroh Romansyah, Andi Rully Inkiriwang Rusdiana, Dian Safitri, Helen Safitri, Helen Safitri Safitri, Hellen Saputra, Alfian Ady 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