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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) InComTech: Jurnal Telekomunikasi dan Komputer IRJE (Indonesian Research Journal in Education) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Appropriate Technology for Community Services Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Teknik Informatika (JUTIF) JNANALOKA Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Anjar Setiawan
Universitas Pamulang
Humanities 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 Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Physics Social Sciences Transportation Other

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Sistem Monitoring Suhu Kandang Penetas Telur Menggunakan Arduino Berbasis Telegram Pada SMAN 16 Kab. Tangerang Hamuda, Hayadi; Setiawan, Anjar
Journal of Appropriate Technology for Community Services Vol. 7 No. 2 (2026)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jattec.vol7.iss2.art9

Abstract

Stabilitas suhu merupakan faktor penting dalam menjaga kesehatan ayam petelur dan keberhasilan proses penetasan telur. Fluktuasi suhu dapat menyebabkan stres pada unggas dan menurunkan produktivitas. Kegiatan ini bertujuan mengembangkan sistem pengaturan suhu kandang dan penetasan telur berbasis Arduino ESP32 yang terintegrasi dengan Telegram dan LCD 16x2 di SMA Negeri 16 Kabupaten Tangerang. Sistem menggunakan sensor DS18B20 dan DHT22 untuk memantau suhu secara real-time, kemudian mengendalikan kipas atau pemanas melalui modul relai guna mempertahankan suhu pada rentang optimal. Metode yang digunakan meliputi perancangan, implementasi, dan pengujian sistem. Hasil Kegiatan menunjukkan bahwa sistem mampu memantau dan mengendalikan suhu secara otomatis dengan baik, meningkatkan efisiensi pengelolaan kandang, serta mengurangi kebutuhan pemantauan manual. Selain mendukung produktivitas peternakan, sistem ini juga menjadi media pembelajaran berbasis Internet of Things (IoT) bagi siswa. Hasil Kegiatan menunjukkan bahwa teknologi yang dikembangkan berpotensi menjadi solusi cerdas dan inovatif untuk pengelolaan peternakan modern.
INTEGRASI SISTEM KEAMANAN RUMAH PINTAR BERBASIS ESP32-CAM DAN SENSOR PIR DENGAN NOTIFIKASI REAL-TIME MELALUI WHATSAPP BOT Hayadi Hamuda; Anjar Setiawan
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 8 No 2 (2025): Jurnal SKANIKA Juli 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v8i2.3387

Abstract

A smart home is a system that basically consists of intelligent elements that are interconnected and integrated with each other through the use of internet networks based on the Internet of Things. Today, smart home technology has been utilised in various rooms in contemporary homes. Several components, such as the ESP32-Cam microcontroller, of these smart home devices are installed in the room and include a motion sensor or PIR (Passive Infrared Receiver), buzzer, and WhatsApp notification software. When motion or activity is detected in the room, the components connected and integrated with the internet network will send notifications to a laptop or WhatsApp messaging programme in the form of text and photos. The results of tool testing and overall system testing data show that the PIR sensor can detect motion at a distance of 1 to 3 metres marked by the activation of the buzzer and the appearance of WhatsApp messages with an average delay of 1 to 3 seconds. Experiments were also carried out based on the length of the 5-pin USB cable, and the results showed that the length of the cable affected the delay in sending WhatsApp notifications in addition to wifi or internet connection. WhatsApp notifications take longer to send the longer the cable is. By using this smart home appliance, home dependability and security can be improved.
The Use of Artificial Neural Networks for the Prediction of Cattle Models anjar setiawan; andi romansyah
InComTech : Jurnal Telekomunikasi dan Komputer Vol. 16 No. 2 (2026)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research focuses on using an ANN algorithm to predict cow weight, which can lead to improved results with a decreased RMSE. The cattle farming business could enhance the efficiency of beef production. The timely slaughter of cattle and the dissemination of technological knowledge about livestock activities are crucial for developing more accurate weight predictions.  Therefore, we must enhance cattle weight forecasts to make them more precise and reliable. This is achieved by employing the ANN technique, which is capable of simulating non-linear and interactive relationships between variables.  The ANN method worked best in the experiment that tried to guess the weight of cows. It had an MSE of 0.019 kg, an RMSE of 0.14 kg, and an R-squared value of 0.99.  This innovation has the potential to make cow farming more environmentally friendly and efficient, which would lead to less wasteful meat production.
Co-Authors Ahmad Habibi Maftukhan Andi Romansyah Angga Pramadjaya Auliyah, Ulul Azmiati Basit, Muhammad Abdul DHANI ARIATMANTO Dimas Permana Dodi Mulyadi Dwi Hartanti Dyas Rasyid Ema Utami Evan Musa Pratama Fikri Maulana Iqbal Hamuda, Hayadi Hayati, Mardiyan Muhamad Abdul Aziz Muhammad Sidiq Noviyanto Noviyanto, Noviyanto Testiana Deni Wijayatiningsih Vihi Atina Zoe Zia Sidan