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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Mahasiswa TEUB Prosiding SNATIKA Vol 01 (2011) International Journal of Community Service Learning TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Jurnal Jaringan Telekomunikasi Jurnal Pengabdian Polinema Kepada Masyarakat Jurnal Abdi Masyarakat Indonesia Jurnal Penelitian Inovatif Journal of Informatics and Communication Technology (JICT) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Dharma: Jurnal Pengabdian Masyarakat Jurnal Indonesia Sosial Teknologi Prosiding Seminar Nasional Pengabdian Masyarakat JEECS (Journal of Electrical Engineering and Computer Sciences) Jurnal Teknik Ilmu dan Aplikasi Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Prosiding Seminar Nasional Unimus Jurnal ELTEK Journal of Informatics and Communication Technology (JICT) TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Septriandi Wirayoga
Politeknik Negeri Malang
Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Implementation and analysis of hybrid communication for monitoring and control for android-based smart farming Moh. Abdullah Anshori; Septriandi Wirayoga; Hadiwiyatno; Sri Wahyuni Dali
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 12 No 1 (2025): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v12i1.1335

Abstract

Farmers are forced to water each crop individually or wait to switch off the water pump. to avoid this, water management needs to be optimized—that is, it needs to be done on schedule, in the appropriate quantity, and throughout a wide area in an effective manner. That is hybrid communication between online and offline communication. To run this system will use 3 nodes, for details 1 node in the irrigation section, 1 node in the monitoring section of land and soil quality, and 1 node in the section to control data or can be said to be a semi-server to give commands to 2 nodes offline. To see if the system still communicates with each other and runs according to the block diagram that has been designed, an Android application will be made to monitor the system. Where if there is a failed data update or data change in the results of the automation system, a notification will come out to check the system as a whole. To support this research, several sensor calibrations were carried out which resulted in an average accuracy level above 90 percent. For the overall system test, 10 experiments were carried out at different times to see the reliability of the system
Smart classroom 4.0 using embedded systems for attendance, energy monitoring, and environmental control Septriandi Wirayoga; Nizar Fairuzaman; Moh Muzib Pratama; Wildan Ahmad Fauzi; Mohammad Alwi Ferdiansyah Alfarizi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 3: June 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i3.27508

Abstract

The increasing demand for digitalization and energy efficiency in vocational education has encouraged the development of intelligent classroom systems. This study proposes an integrated smart classroom 4.0 system based on the Internet of things (IoT) and embedded systems to improve attendance management, electrical safety, energy efficiency, and environmental monitoring. The proposed system integrates smart attendance, power monitoring, automatic lighting control, and environmental sensing into a unified architecture using ESP32 microcontrollers and a Raspberry Pi embedded server. Attendance is automated using radio frequency identification (RFID), fingerprint recognition, and non-contact body temperature measurement, achieving an average accuracy of 92.5% with a system latency of 1.1–1.4 s. Electrical monitoring using the PZEM-004T sensor shows zero error for voltage and current measurements and a maximum power measurement error of 0.31%, while overload and abnormal voltage conditions are successfully handled through automatic protection. Automatic lighting control based on YOLOv5s image processing achieves approximately 90% detection accuracy under high occupancy conditions. All subsystems communicate via the message queuing telemetry transport (MQTT) protocol and are visualized through a real-time web dashboard. The results demonstrate that the proposed system provides a low-cost, scalable, and reliable solution for energy-efficient and intelligent classroom management in vocational education environments.
Genetic algorithm-based chicken manure weight prediction system development Rida Hudaya; Septriandi Wirayoga; Moechammad Sarosa; Muhammad Yusuf; Armanda Dwi Prayugo
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i2.pp1247-1260

Abstract

This research presents design and implementation of internet of things (IoT) based monitoring and predictive system for evaluating chicken manure weight and environmental conditions in poultry housing. The proposed system integrates MQ-137 sensor for ammonia detection, DHT22 sensor for temperature and humidity measurement, and load cell modules for manure weight monitoring. All sensor data are transmitted in real time to cloud platform, enabling continuous environmental assessment. A 30-day experimental study was conducted using two controlled chicken drum models, each containing 15 broiler chickens and provided with different feed types to observe variations in manure production and air quality. Sensor calibration results indicate high accuracy, with average error of 0.31% for ammonia readings and 0.10% for manure weight measurement. Experimental findings show that feed type A generates lower manure weight, reduced ammonia concentration, and more stable temperature conditions compared to feed type B, suggesting improved feed efficiency and better overall chicken health. A genetic algorithm (GA) was employed to optimize regression model predicting manure weight using ammonia concentration and temperature as input features. The GA-optimized model achieved strong predictive performance, with root mean square error (RMSE) of 0.358 g and coefficient of determination (R2) value of 0.992. The results demonstrate that proposed system provides reliable, scalable, and data-driven solution for smart poultry monitoring and early health detection.
Co-Authors - Hadiwiyatno Abdul Rasyid Adhisuwignjo, Supriatna Afdhal Alip Taliban Kertonegoro Aisyah Novfitri Andrika, Arip Arinalhaq Fatachul Aziiz Armanda Dwi Prayugo Ayu Sulasari Azam Muzakhim Imamuddin Cindhi Kusuma Putri Dedy Wahyu Herdiyanto Dianthy Marya Dimas Firmanda Al Riza Dodit Suprianto Farida Arinie Soelistianto Galih Putra Riatma Guntur Yanuar Astono Habibi, Isaz Ilham Akbar Hadiwiyatno Hadiwiyatno Hadiwiyatno Hadiwiyatno Hadiwiyatno, Hadiwiyatno Haifa Nabila Harismawati, Secondamega Hudaya, Rida Hudiono Hudiono Irfin Sandra Asti Isa Mahfudi Isac Ilham Akbar Habibi Isac Ilham Akbar Habibi Koesmarijanto Koesmarijanto Koesmarijanto Koesmarijanto Kusumawardani, Mila Miftakhul Huda Miftakhul Huda Miftakhul Huda Mochammad Junus Mochammad Junus Moechammad Sarosa Moh Muzib Pratama Moh. Abdullah Anshori Moh. Abdullah Anshori Moh. Abdullah Anshori Mohammad Alwi Ferdiansyah Alfarizi Muhammad Yusuf Mulyani Azis, Yunia Mustofa, Ali Natasya, Salshabila Nizar Fairuzaman Nugroho Suharto Nurul Hidayati Nurul Hidayati Putri Elfa Masudia Rachmad Saptono Ratna Ika Putri Rieke Adriati Wijayanti Rudy Yuwono Setiadi, Chandrasena Sri Wahyuni Wahyuningsih, Fama Dwi Waluyo Waluyo Waluyo Wildan Ahmad Fauzi Yunia Mulyani Azis Zidan Aksa Mahendra