Article Per Year (5 Year)
p-Index From 2021 - 2026
1.006
P-Index
This Author published in this journals
All Journal Jurnal Simetris Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Impresi Indonesia Innovative: Journal Of Social Science Research
Agung, I Gusti Agung Putu Raka
Unknown Affiliation
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Innovative: Journal Of Social Science Research

 1 
Kualitas Ikan Asap Hasil Proses Smart Cold Smoking Berbasis IoT Krishnadhana, I Komang Pande Andika; Suteja, I Made Wira; Sugandi, Muhamad Mirza; Dharma, Agus; Agung, I Gusti Agung Putu Raka
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.21052

Abstract

Traditional fish smoking methods often face challenges in maintaining stable temperature and smoke density, which affect product quality. This capstone project develops a Smart Cold Smoking system based on the Internet of Things (IoT), utilizing the ESP32 devkit for automatic control of temperature and smoke. The system integrates DS18B20 temperature sensor, MQ-135 smoke sensor, RTC DS3231, DC fan, servo motor, buzzer, and 16x2 LCD, all monitored via the ThingSpeak platform. Smoking is carried out at 45–50°C for 6 hours using a mixture of coconut shell and husk. Results showed moisture reduction of 29.24% in mackerel and 18.72% in skipjack, with organoleptic scores averaging close to 7. This system improves product consistency and efficiency, making it suitable for small to medium-scale fish smoking businesses.
Penerapan Aplikasi Android Terintegrasi Firebase dalam Sistem IoT untuk Monitoring Kolam Lele Berbasis Realtime Database dan Firestore dengan Pengujian Blackbox Wirawan, I Made Aditya; Astawa, I Komang Alit; Wijaya, Putu Ananta Sastra; Agung, I Gusti Agung Putu Raka; Shandyasa, I Wayan
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.21215

Abstract

Catfish farming faces challenges in consistently monitoring pond conditions. This study aims to design and develop an Android application connected to Firebase services to support pond condition monitoring based on an Internet of Things system. The application enables users to view sensor data via a mobile interface and store observation history using two database services: Realtime Database and Firestore. The development process applied software modeling, and the system was tested using the blackbox method. The results show that the application successfully displays data, records history, and responds to user input as expected. These findings indicate that the developed system can serve as a digital solution to support integrated pond monitoring through mobile devices.
Co-Authors Agus Dharma Aryasuta, I Ketut Astawa, I Komang Alit Goenardi, Rafael Bryan I Made Mataram I Nyoman Setiawan I Putu Ardana I Wayan Shandyasa Krishnadhana, I Komang Pande Andika Mamboran, Jonathan Marthen Meliala, Michael Devando Sembiring Nabiel Athallah, Rayhan Kimi Ndruru, Johanes Panggabean, Kevin Pratama, I Putu Gede Pringga Aditya Putu Ayu Rhamani Suryadhi Saputra, I Gede Eka Sugandi, Muhamad Mirza Suteja, I Made Wira Tjok Gede Indra Partha Wijaya, Putu Ananta Sastra Wirawan, I Kadek Wisnu Wirawan, I Made Aditya