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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) SWAGATI: Journal of Community Service Jurnal Komtika (Komputasi dan Informatika)
Arip Kristiyanto
Universitas Pamulang
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture 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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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%.
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.
Implementation of Scratch Training to Improve Computational Thinking-Based Algorithm Skills of Students of SMA Negeri 1 Warunggunung Bagus Setya; Arip Kristiyanto
SWAGATI : Journal of Community Service Vol. 4 No. 2 (2026): July
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2026v4i2.2727

Abstract

The rapid development of digital technology requires students to possess 21st-century skills such as critical thinking, creativity, collaboration, and digital literacy. One of the efforts to develop these skills is through the introduction of basic programming (coding), which can enhance computational thinking, logical reasoning, and problem-solving abilities. However, in reality, many high school students still have limited understanding of basic programming concepts. Therefore, this community service program aims to improve students' understanding of basic programming concepts and develop their computational thinking skills through coding training using Scratch. The method used in this activity consists of several stages, including problem identification, needs analysis, training program design, training implementation, and activity evaluation. The training was conducted at SMA Negeri 1 Warunggunung involving teachers and students as participants. The training method applied is learning by doing, which includes material presentation, hands-on practice in creating simple projects using Scratch, and evaluation through pre-test and post-test to measure participants’ improvement in understanding. The expected results of this activity are an increase in students’ understanding of basic programming concepts, improvement in computational thinking skills, and enhancement of 21st-century skills such as creativity, collaboration, and problem-solving. In addition, this activity is expected to contribute to the development of technology-based learning in schools and support the creation of a better digital literacy ecosystem within the school environment.
Implementasi Metode TOPSIS dalam Pemilihan Kain Tenun Terbaik Ika Ima Nissa; Arip Kristiyanto; Leo Sandi
Jurnal Media Informatika Vol. 6 No. 4 (2025): Jurnal Media Informatika
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i4.6422

Abstract

Kain tenun merupakan tekstil tradisional yang dibuat dengan menyilangkan benang pakan dan lungsin, baik secara manual maupun menggunakan alat tenun. Permasalahan yang terjadi dalam pemilihan kain tenun terbaik saat ini masih dilakukan secara manual, sehingga kurang efisien dan berisiko menimbulkan ketidaktepatan dalam pengambilan keputusan. Untuk mengatasi hal tersebut, penelitian ini merancang sebuah Sistem Pendukung Keputusan (SPK) menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Metode TOPSIS dipilih karena mampu menyelesaikan masalah pemilihan alternatif berdasarkan berbagai kriteria yang relevan. Data dalam penelitian ini diambil dari Kain Tenun Padi Sarumpun dengan lima alternatif motif: Tulip, Tapak Manggih, Rangkiang, Pucuak Rabuang, dan Padi Sarumpun. Penilaian dilakukan berdasarkan empat kriteria: harga, tingkat kesulitan, kualitas bahan, dan proses pembuatan. Hasil analisis menunjukkan bahwa Motif Pucuak Rabuang memiliki nilai tertinggi (0,7304), sehingga dinilai sebagai kain tenun terbaik. Sistem ini mampu membantu dalam meningkatkan akurasi dan efisiensi dalam proses seleksi, serta memberikan informasi yang berguna bagi pengambilan keputusan oleh pihak pengelola tenun. Dengan demikian, SPK berbasis TOPSIS terbukti efektif dalam pemilihan kain tenun terbaik.
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.
PENERAPAN WEBSITE E-COMMERCE GUNA MENINGKATKAN PENJUALAN BUDIDAYA IKAN DESA BUGEL KECAMATAN PADARINCANG Arip Kristiyanto; Iroh Rohmawati; Zulfi Andriansah; Imam Ahmad
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.
Co-Authors Aep Saepul Anwar Agus Suharto Andi Romansyah Andi Romansyah Andriansah, Zulfi Angga Pramadjaya Asep Suryadi Bagus Setya 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 Ika Ima Nissa Ikhsan, Novian Imam Ahmad Imam Ahmad Imam Slamet Inkiriwang, Rully Iroh Rohmawati Istiqomah Rohmawati Leo Sandi Madani, Natasya Insanu Muhamad Yudi Fadilah Mulyana Mulyana Mumu Nazmudin Ningsih, Listina Nadhia 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 Zulfi Andriansah