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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Mahasiswa TEUB Jurnal EECCIS e-Jurnal Arus Elektro Indonesia ELINVO (Electronics, Informatics, and Vocational Education) Journal of Information Technology and Computer Science Network Engineering Research Operation [NERO] Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pemerintahan dan Kebijakan (JPK) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal INFOTEL
Onny Setyawati
Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Social Sciences

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IoT-Based Water Quality Monitoring System for Koi Fish Quarantine Andiyansyah, Rizki Novan; Setyawati, Onny; Hario Partiansyah, Fakhriy
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 18 No. 3 (2024)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v18i3.1751

Abstract

Koi fish have a prominent attraction with their uniqueness including their beautiful shape, color, and pattern, making Koi fish very popular among ornamental fish. Koi fish undergo a quarantine process before being placed in the cultivation pond. The quarantine process is necessary because Koi fish are taken from paddy field ponds, where diseases from the external environment, such as fungi, bacteria, and parasites, may still be present. This research involves four parameters that support good water quality for the life and growth of Koi fish: temperature, acidity level (pH), Total Dissolved Solid (TDS), and water turbidity. This research aims to monitor the quality of Koi fish quarantine using the four parameters above using the Internet of Things (IoT). Water quality measurement data from these four sensors can be detected in real-time via the Internet of Things (IoT) using the Blynk application as a monitoring tool and the Telegram application as a notification to Telegram if the water quality is not ideal.
Rancang Bangun Alat Monitoring Detak Jantung Janin Menggunakan Sensor AD8232 dengan Metode K-Means Clustering Terintegrasi Aplikasi Smartphone Ardytyan, Reiza Hafid; Abidin, Zainul; Setyawati, Onny
Jurnal Mahasiswa TEUB Vol. 13 No. 2 (2025)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

Kehamilan merupakan periode penting dalam pertumbuhan dan perkembangan janin, namun tidak semua kehamilan berlangsung normal.  Salah satu komplikasi yang dapat terjadi adalah gawat janin, yaitu kondisi  ketika janin mengalami kekurangan oksigen, yang dapat berujung pada kerusakan otak hingga kematian. Deteksi dini gawat janin sangat penting  untuk mencegah komplikasi serius, namun keterbatasan alat pemantauan  seperti Fetal Doppler menjadi tantangan dalam evaluasi kesejahteraan  janin. Oleh karena itu, diperlukan sistem monitoring yang lebih canggih  untuk mendukung tenaga medis dalam menganalisis kondisi janin secara  real-time. Penelitian ini mengusulkan penggunaan sensor AD8232 dalam  sistem monitoring aktivitas listrik jantung janin untuk mengklasifikasikan  Detak Jantung Janin (DJJ) secara otomatis dan real-time. Inovasi ini telah  dilakukan uji fungsionalitas alat yang dibandingkan dengan diagnosis dokter. Didapatkan hasil pengujian pengiriman data melalui internet dengan dua Access Point Band yang berbeda dengan rata-rata waktu  pengiriman 1,95 dan 1,65 detik. Pada pengujian klasifikasi kondisi menggunakan aplikasi dan algoritma K-Means Clustering didapatkan tingkat akurasi 90,00% sensitivitas 85,71%, spesifisitas 92,31% dan presisi 85,71% dengan pengujian kepada dua puluh pasien yang telah didiagnosis oleh dokter. Hasil ini menunjukkan bahwa alat monitoring kehamilan ini efektif untuk mendeteksi dan memantau kondisi detak jantung janin secara berkelanjutan, mengurangi ketergantungan pada metode invasif dan  membantu pengguna dalam mengklasifikasi kondisi detak jantung janin.Kata Kunci ̶ Detak Jantung Janin, AD8232, K-Means Clustering, Non-invasive, Internet of Things.
Optimizing stress resistance in MEMS inertial sensors through material and thickness variations Aziza, Miladina Rizka; Setyawati, Onny; Jumiadi, Jumiadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 1: July 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i1.pp110-117

Abstract

Stress on the micro-electromechnical system (MEMS) sensors significantly decreases sensor accuracy. Thermomechanical stresses induced by the packaging assembly process and external loads during operation induce a shift in the output signal (offset) of MEMS sensors. To achieve high precision in accelerometers, gyroscopes, and other MEMS devices, it is crucial to employ advanced modeling and simulation techniques to mitigate stress-induced offset drift. Therefore, this paper aims to explore and simulate stress on inertial sensors by designing a gyroscope tuning fork with a perforated proof mass to reduce the damping effect. Our findings provide insights for decreasing stress by varying the material and thickness of the inertial sensor. The least stress was obtained from an inertial silicon sensor with 5 and 20 mm thicknesses.
RANCANG BANGUN SISTEM MONITORING KUALITAS UDARA DAN REDUKSI PARTIKULAT BERBASIS INTERNET OF THINGS Hariawan, Bramantia Rayhan; Maulana, Eka; Setyawati, Onny
Jurnal Mahasiswa TEUB Vol. 13 No. 5 (2025)
Publisher : Jurnal Mahasiswa TEUB

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Abstract

This study discusses the design and implementationof an Internet of Things (IoT)-based air quality monitoringsystem capable of detecting PM2.5 particles, carbon dioxide(????????????), temperature, and humidity. The system utilizesGP2Y1010AU0F, MQ-135, and DHT22 sensors integrated withan ESP32 microcontroller. Environmental data is transmittedin real-time to the Thinger.io platform and displayed through aThinger.io based application connected to Firebase. The systemis also equipped with automated features such as a mist maker,LED indicators, and a buzzer that activate when pollutionlevels exceed the established thresholds based on Indonesia'sMinistry of Health Regulation No. 7 of 2019. Test results showthat the system effectively detects and responds to poor airconditions and that the sensors demonstrate high accuracycompared to reference instruments. This system has thepotential to be further developed as a mitigation tool for airpollution impacts on public health in indoor and semi-enclosedenvironments.Keywords - Internet of Things, air quality, PM2.5sensor, carbon dioxide, Thinger.io, ESP32 
Co-Authors Abdul Wachid Syamroni Abdulhafidz Muhammad Abdullah Rasyid Achmad Basuki Achmad Basuki Adharul Muttaqin Agripina Noreen Mahardika Ahmad Badrus Sholeh Aji Seto Arifianto Akhdan Fadhli Zaim Alfi Maghfirah Alva Kosasih Andhika Pramana Putra Andiyansyah, Rizki Novan Andreas Horaciyo Simanjuntak Andriana Kusuma Dewi Angger Baskoro Anindita, Ruth Astari Ardytyan, Reiza Hafid Aziza, Miladina Rizka Azzurri, Dean Fachruddin Bahr, Andreas Bangert, Axel Brahmada, Yohanes Valerio Citra Trilaksana David Stefano Didik R. Santoso Didik Rahadi S Didik Rahadi S. Didik Rahadi S. Djul Fikry Budiman, Djul Fikry Dody Susilo Dzulfikar Ontoseno Edinar Valiant Hawali Effan Akbartama Eka Maulana Erfan Achmad Dahlan Erick Ilmiawan Ibrahim Erny Anugrahany Fitri Fitri Fransiska Sisilia Mukti Frediawan Yuniar Hadi Suyono Hadi Suyono Hariawan, Bramantia Rayhan Hario Partiansyah, Fakhriy Helmy Mukti Himawan Helmy Mukti Himawan, Helmy Mukti Herman Tolle Hermawan Arief Putranto Irawan, Novta Danyel Iswanjaya, Septian Ivana Varita Julius St., M. Juma'inah, n/a Jumiadi, Jumiadi Kusuma Jayadi Laila Roudhotul Karimah Lily M. Sikome M. Aziz Muslim M. Julius St M. Julius St M. Julius St. Maulana, Eka Maulana, Eka Milendy Arifputra Pamungkas Mira Orisa Moch. Agus Choiron Mochammad Nur Arifin Moechammad Sarosa Mohammad Wahyusuf Hidayatulloh Muhamad Ilham Muhammad Arsyil Khahaji Muhammad Athalla Muhammad Julius St. Muhammad Zein Muhammad, Abdur R. mukhlison st n/a Nurussa’adah Nadia Alifia Hadiyati Nainaufal Hidayah Nanang Sulistiyanto Nimas Wahyu Choironik Novia Alifianti Novvy Nurdiana Dewi Nurus Sa'adah Nurussa’adah, n/a Pancawati Dessy Aryanti Pasaribu, Dimpos Fransiskus Xaverius Ponco Siwindarto Prasetya, Muchamad Alec Purnomo Budi S. Purnomo Budi Santoso Putranto, Hermawan Arief Raden Arief Setyawan Raden Setyawan Rahmadwati Rahmadwati Rahmadwati, n/a Rahmadwati, Rahmadwati Rahman Arifuddin Rangga Pahlevi Putra Regina Basaria Patrisia Rieke Adriati W. Rif'an, Mochammad Rini Nur Hasanah Riska Nurtantyo Sarbini Risty Jayanti Yuniar Rizky Agung Pratama Ruslan Affandi Ruth Astari Anindita Sandhagen, Carl Septian Iswanjaya Shoffin Nahwa Utama Sholeh Hadi Pramono Susanto, Septian Alan Suyono, Hadi Syaiful Amri Syaiful Rachman Ubaid Ikbar Najib Nur Fauzi Utomo, Arie Cahyo Vika Mubarokah W., Rieke Adriati Wahyu Dirgantara Wijono Wijono Wijono Wijono Wijono Wijono Wijono Y. Reza Angga Sukma Zainul Abidin Zainul Abidin Zainuri, Akhmad