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All Journal Jurnal Sinergitas PkM & CSR International Journal of Social Science and Business JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Jurnal Ilmiah Edunomika (JIE) Majamecha Journal of Intelligent Computing and Health Informatics (JICHI) Yumary: Jurnal Pengabdian kepada Masyarakat JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Prosiding Konferensi Nasional PKM-CSR Jurnal Minfo Polgan (JMP) Jurnal Sains dan Teknologi SWARNA Jurnal Multidisiplin West Science SOROT: Jurnal Pengabdian Kepada Masyarakat IIJSE Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Penelitian Pendidikan Indonesia Maneggio Journal of Renewable Energy and Smart Device
Mohammad Muslimin
Universitas Islam Majapahit, Mojokerto
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A Cyber-Physical Approach to Black Soldier Fly Cultivation: Integrating IoT Monitoring with Adaptive Watering Control Rini Puji Astutik; Arbi Alfian Mas'ud; Muhammad Ramadhani; Samsudin Nur; Soffa Zahara; Mohammad Muslimin
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.668

Abstract

This article details the creation and deployment of an IoT-integrated system designed for the activated watering and environmental supervision of Black Soldier Fly (BSF) maggot production. Given that maggot yield is heavily reliant on precise climate control, traditional manual techniques often fall short due to their labor-intensive nature and susceptibility to human error. The implemented solution utilizes an ESP32 microcontroller interfaced with an SHT20 sensor to monitor temperature and humidity, managing three key actuators: a heating element, a cooling fan, and a water pump. Communication is facilitated through the Telegram Bot API, offering both a manual override and an autonomous mode driven by a Mamdani fuzzy logic engine. Experimental results confirmed the system's high precision, with temperature and humidity sensing showing accuracies of 99.13% and 99.27%, respectively. Furthermore, evaluations of the fuzzy logic controller across 12 trials proved its capability to maintain optimal conditions without operational conflicts. This system offers a scalable approach to modernizing insect-based agriculture by stabilizing environmental parameters and reducing operational overhead
Pendampingan Optimalisasi Budidaya Maggot Black Soldier Fly Berbasis Internet of Things Soffa Zahara; Mohammad Muslimin; Rini Puji Astutik; Erlangga Dimas Suryadi; Julyant Marco Melandry; Chindy Alvionita Bana Pah
SOROT : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2026): Juli
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/3mepx469

Abstract

Pengelolaan sampah organik masih menjadi tantangan berat di Indonesia. Pemanfaatan Maggot atau Larva Black Soldier Fly (BSF) sebagai agen biokonversi sampah organik merupakan salah satu metode yang telah banyak diterapkan. Namun, keberhasilan budidaya Maggot BSF sangat dipengaruhi oleh kondisi lingkungan, khususnya suhu dan kelembapan kandang budidaya. Ketidaksesuaian kondisi tersebut dapat menyebabkan pertumbuhan larva tidak optimal bahkan meningkatkan risiko kematian. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk merancang dan mengimplementasikan sistem monitoring serta kontrol suhu dan kelembapan kandang Maggot BSF berbasis sensor pada unit pengolahan sampah organik yang dikelola oleh Badan Usaha Milik Desa (BUMDes) Kabatren Sejahtera Desa Kemantren Kabupaten Mojokerto. Metode yang digunakan identifikasi permasalahan, perancangan dan implementasi sistem selama dua bulan, pelatihan intensif dan pendampingan terstruktur selama 4 minggu serta evaluasi. Sistem yang dibangun menggunakan mikrokontroler ESP32 NodeMCU dan sensor DHT22 yang terintegrasi dengan Telegram Bot untuk memantau dan mengontrol kondisi lingkungan secara realtime. Hasil implementasi menunjukkan bahwa sistem mampu membantu pengelola kandang dalam menjaga kondisi lingkungan yang ideal bagi pertumbuhan Maggot BSF. Hasil pengujian menunjukkan seluruh 14 fitur sistem monitoring dan kontrol berhasil berfungsi optimal dengan persentase keberhasilan pembacaan sensor mencapai 98,4% dan latensi respons perintah 1,2–2,8 detik. Dari aspek pemberdayaan, terjadi peningkatan rata-rata nilai kognitif mitra dari pre-test 42,0 menjadi 87,5 pada post-test. Implementasi teknologi ini berhasil mengubah pola kerja pengelola menjadi berbasis data, meningkatkan efisiensi waktu pemantauan, menstabilkan suhu siang hari pada kisaran ideal suhu 28℃-32℃.
Co-Authors Achmad Rijanto Agung Sutrisno Ahmad Syaifuddin Akhmad Nur Zaroni Andhika C. Putra Andhika C.P. Andhika Cahyono Putra Arbi Alfian Mas'ud Arum Rakhmasari Octivaningsih, Arum Rakhmasari Bagus Hari Sugiharto Chindy Alvionita Bana Pah Dwihandoko, Toto Heru Dyah, Atika Isnaining Eko Sutrisno Erlangga Dimas Suryadi Fachrudy Asj'ari Gesty Ernestivita Hartono Hartono Hartono Hartono Hartono Hartono Indra Kusumawati Julyant Marco Melandry Kushariyadi Laili Savitri Noor Lovi Sandra Luki Ardiantoro Luthfi Hakim Luthfi Hakim Ma'sum, Hadiansyah Martins, Moses Muhamad Solekan Muhammad Ramadhani Muslimin, Moh Nazara, Desman Serius Nersiwad Nersiwad Nersiwad, Nersiwad Nuril Ahmad Purwaka Hari Prihanto Raida Amelia Ifadah Ramli Ramli Rini Puji Astutik Ritna Wahyuni Riztrya Novedliani Roosganda Elizabeth Rosari, Renya Said Hamzali Samsudin Nur Setyo Nugrowibowo Soffa Zahara Suesthi Rahayuningsih Trinandari Prasetyo Nugrahanti Vidya Ramadhan Putra Pratana Wahyu P. Indarwati Widya Ayu K. Yensi K.S Zainal Abidin