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All Journal Publisia: Jurnal Ilmu Administrasi Publik JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) MAGNA MEDICA: Berkala Ilmiah Kedokteran dan Kesehatan PROMOTOR JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal Golden Age: Jurnal Ilmiah Tumbuh Kembang Anak Usia Dini Jurnal Review Pendidikan dan Pengajaran (JRPP) ScientiCO : Computer Science and Informatics Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian dan Peningkatan Mutu Masyarakat (JANAYU) Bioscientist : Jurnal Ilmiah Biologi Advance Sustainable Science, Engineering and Technology (ASSET) NUSRA: Jurnal Penelitian dan Ilmu Pendidikan Journal Of World Science Jurnal Algoritma JPAP (Jurnal Praktisi Administrasi Pendidikan) The Indonesian Journal of Computer Science Jurnal Pengabdian Farmasi dan Sains Advance Sustainable Science, Engineering and Technology (ASSET) Indonesian Journal of Islamic Jurisprudence, Economic and Legal Theory
Rahmah Laila
Information Technology Department, Faculty Of Engineering, Tadulako University, Jl. Soekarno Hatta No KM 9 Palu 94148, Central Sulawesi, Indonesia
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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

 1 
Automatic Fish Feeding and Temperature Control System for Aquariums Based on Internet of Things (IoT) Widyati, Made Ayu Sri; Anshori, Yusuf; Lamasitudju, Chairunnisa Ar.; Laila, Rahmah; Joefrie, Yuri Yudhaswana
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8847

Abstract

Keeping fish in aquariums has become one of the people's hobbies. An important factor in fish maintenance is the process of feeding and controlling the temperature of the aquarium. However, with various activities, fish care is often not carried out properly. This study develops an automatic system for feeding and controlling the temperature of the aquarium with goldfish as the test object. This study designs an automatic system to control the temperature and feeding in the aquarium using hardware such as a DS18B20 temperature sensor, load cell, and ultrasonic sensor. This system is controlled by ESP32 for reading sensor data and Arduino Uno for controlling the relay, cooling system, heater, and servo motor. ESP32 reads sensor data and sends it via MQTT to Node-red. Based on this data, the system regulates the temperature by activating the cooler (peltier and water pump) if the temperature is >28℃ and turning off the cooler when the temperature is <26℃. The heater is active if the temperature is <24℃ and stops when the temperature reaches 26℃. Feeding is carried out according to schedule, with servo 1 dropping feed into the load cell until the weight reaches the target weight. After that, servo 2 moves the feed into the aquarium. If the weight has not reached the target, servo 1 continues to be active. Based on the test, the average percentage of error in the temperature sensor is 0,08%, the weight sensor is 1.10%, and the ultrasonic sensor is 1.61%. This system successfully performs four times a day feeding and controls the temperature within the optimal range for goldfish, which is 24-28℃. The test results show that this system functions well and is in accordance with the research objectives.
Utilization of EfficientNet-B0 to Identify Oncomelania Hupensis Lindoensis as a Schistosomiasis Host Lamadjido, Moh. Raihan Dirga Putra; Laila, Rahmah; Pusadan, Mohammad Yazdi; Yudhaswana, Yuri; Lapatta, Nouval Trezandy; Ngemba, Hajra Rasmita
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9058

Abstract

Schistosomiasis caused by the Schistosoma japonicum worm is a significant health problem in Indonesia, especially in endemic areas such as the Napu Plateau and Bada Plateau. The main problem in controlling this disease is the difficulty in rapid and accurate identification of Oncomelania hupensis lindoensis snails as intermediate hosts of the parasite. This research aims to develop an artificial intelligence-based system that can efficiently identify the snail species. The stages of this research include collecting snail image data from the Central Sulawesi Provincial Health Office, consisting of 2100 images covering seven snail species, then processed through preprocessing and augmentation stages. The model applied was EfficientNet-B0. The results showed that the EfficientNet-B0 model achieved 98.80% training accuracy and 98.33% validation accuracy. Confusion matrix testing showed good performance, with an accuracy of 98% and for the species Oncomelania hupensis lindoensis had a recall of 93%, precision of 100%, F1-score of 97%, and the resulting AUC value of 99.7%. This research successfully developed an efficient identification system, which is expected to help health surveillance personnel in accelerating the identification process of schistosomiasis intermediate hosts.
Co-Authors A Wahab Jufri Absor, Sholihul Afiah, Nurul Anggun Al Hakim, Roby Maulana Anggreni, Dwi Shinta Anita Ahmad Kasim Anita, Ayu Anwar, Asriani Azkia, St. Aulia Billyardi Ramdhan Bogheiry, Ali Chairunnisa Ar. Lamasitudju Chirzun, Ahmad Damayanti, Sherli Darojah, Murtafiatun Deny Wiria Nugraha Dessy Santi Diana Wahyuni Sulasti Dwi Shinta Angreni Dwiyanto, Andika Fahrudda, Ansarul Fajriyah, Nurul Faldiansyah, Faldiansyah Firhan Nurfaizi Hajra Rasmita Ngemba Haniifah, Ulaa Hartamto, Offia Melda Permata Imam Abdullah , Ahmad Imam Wahyudi Indrawan, Imam Wahyudi Imas Hasdianti Jamil, Ahmad Mochtar Jonathan Wongkar, Noel Marcell Joned Bangkit Wahyu Laksono Jujun Ratnasari Kasaedja, Tafania Natalia Laala, Jonathan Zebina Lamadjido, Moh. Raihan Dirga Putra M Thaha, M M Zakaria Meyssa Dwi Miftah Miftah Miftah, Miftah Mohammad Yazdi Pusadan Muhammad Anas Muhammad Jindan Mundakir Ningsih, Alief Surya Nouval Trezandy Lapatta Nugroho, Yudhistiro Andri Nurholisoh, Siti Nursalim, Moh. Agung Nursiana Zasqia, Andi Nirina Pratama, Moh. Asry Eka Pratiwi, Dian Asri Pusadan, Yazdi Puspita, Eka Ari Qothrunnada, Widya Rahmasena, Naomi Rasmita Ngemba, Hajra Rifai, Muhammad Fajar Rima Ahadiah Rini Septiani Rinianty, Rinianty Risaldi Pata’Dungan, Adi Rita Arlitia Rizka Ardiansyah Rizki Hegia Sampurna Rosmala Nur Ruddy Indra Frahasta Rumampuk, Viola Gracella Ryfial Azhar, Ryfial Saleh, Muhammad Taufik Salhudin, Salhudin Selpi Susilawati Septiano Anggun Pratama Setiono Setiono Silvi Husnaini Siti Jamilah Siti Khodijah Parinduri Sri Purnawati SRI RAHAYU Sudharsono, Muhamad Suswojo, Heru Syahrullah Syahrullah Syahrullah Syaiful Hendra Teti Damayanti Thaha, M. Thaha TITIN SUNARYATI Tuah Nur Ulfa Fauzi Vira Safitri Aulia Widyati, Made Ayu Sri Wilda Waliam Wirdayanti Wiska Hera Yazdi Pusadan, Mohammad Yudhaswana, Yuri Yuri Yudhaswana Joefrie Yusuf Anshori