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Jurnal Otomasi Kontrol dan Instrumentasi
ISSN : 20852517     EISSN : 24606340     DOI : https://doi.org/10.5614/joki
Core Subject : Engineering,
Jurnal Otomasi Kontrol dan Instrumentasi adalah jurnal ilmiah yang diterbitkan oleh Pusat Teknologi Instrumentasi dan Otomasi (PTIO), Institut Teknologi Bandung setahun dua kali (April - Oktober) untuk menyebarluaskan hasil-hasil penelitian dengan fokus dalam bidang otomasi, kontrol, dan instrumentasi dalam lingkup: Pengembangan Konsep dan Sistem Instrumentasi, Kontrol dan Otomasi: -Teori Kontrol -Pemodelan dan Identifikasi Sistem -Industri 4.0 -Sistem Terdistribusi -Sistem Virtual -Sistem Robotika dan Otonom -Sistem berbasis Pengolahan Citra -Sistem berbasis Kecerdasan Buatan Aplikasi Instrumentasi dan Kontrol : -Bidang Industri dan Keamanan -Bidang Transportasi dan Komunikasi -Bidang Kesehatan dan Kenyamanan Hunian -Bidang Pertanian dan Pengolahan Pangan -Bidang Manajemen Energi -Bidang Energi Terbarukan -Bidang Industri Kreatif.
Articles 237 Documents
Integrasi Otomasi IoT Berbasis Sensor untuk Pemberian Pakan dan Pembersihan pada Sistem Sangkar Burung Pintar Rahman, Muhammad Farid; Anam, Muhammad Khoirul; Husnayain, Faiz; Suwandi, Rifki
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.7

Abstract

Pet songbirds require consistent care, but prolonged owner absence often leads to irregular feeding and poor sanitation. Existing IoT-based bird care systems remain fragmented, focusing primarily on single aspects like feeding, while sanitation mechanisms are often mechanically complex or ignored. This study proposes an integrated IoT autonomous bird cage that uniquely combines feeding, watering, and a simplified stepper-motor-driven brush-and-spray cleaning mechanism into a single framework. Controlled by an Arduino Uno R4 WiFi and an RTC module for precise offline scheduling, the system utilizes a robust capacitive sensor for water monitoring to overcome the unreliability of standard acoustic sensors in confined micro-climates. Experimental testing demonstrated sub-centimeter sensor accuracy and a 0% failure rate for automated water refilling, outperforming the 20% failure rate observed in the ultrasonic feed sensor. Furthermore, the novel cleaning subsystem achieved a 94% quantitative waste removal efficiency. These results confirm the proposed architecture is a reliable, comprehensive solution that significantly reduces manual intervention in smart pet management.
Rancang Bangun Aeropendulum Twinmotor dengan Kontrol Fuzzy Logic Berbasis Matlab-Simulink dan Arduino Iqbal, Muhammad; Subagiyo, Heri; Wijaya, Yusmar Palapa; Huda, Amirul
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.6

Abstract

This paper presents the design and development of a twin-motor aeropendulum (half-quadcopter) system as a control systems learning platform using a fuzzy logic controller (FLC). The system is implemented using a real plant in the form of a half-quadcopter, an IMU MPU6050 sensor combined with a complementary filter for angle estimation, and an integration of Arduino and Matlab-Simulink for controller design and response visualization. Compared to conventional PID controllers, the FLC is selected due to its ability to handle system nonlinearities without requiring an accurate mathematical model. The main contribution of this work lies in the development of a low-cost educational platform that integrates a real plant, a non-contact sensor with improved durability, and real-time system response visualization. Experimental results at a 30° setpoint show a rise time of 0.5 s, a settling time of 5.8 s, a maximum overshoot of 21.3%, and a steady-state error of 0.2%, along with good disturbance rejection capability. These results demonstrate that the proposed system is effective and suitable as an interactive learning platform to enhance students’ understanding of control system concepts.
Desain dan Evaluasi Low-Cost Sunshine Duration Recorder Otomatis Menggunakan Solar Cell Berbasis Internet of Things Gibran, Mohammad Attar; Rachmat, Adrian Renaldi; Izaaz, Afif; Tempo, Neil Farel Rindra; Abraham, Gabrielle Luoise; Sidauruk, Vasco Yehezkiel; Saragih, Kris Anderson P.
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.13

Abstract

Sunshine duration (SD) is an important meteorological parameter for climate analysis and solar energy planning. In Indonesia, SD measurement still heavily relies on manual Campbell–Stokes (CS) recorders, which are prone to subjective errors, labor-intensive, and unreliable under cloudy conditions. This study develops a low-cost IoT-based SD logger using a solar cell and an INA219 sensor to estimate direct solar radiation. An ESP32 microcontroller processes the data, supported by an RTC module and an SD card for timestamping and local storage. Calibration was performed against Copernicus Atmosphere Monitoring Service (CAMS) satellite data, applying the WMO pyrheliometric threshold of 120 W/m². Remote access is provided via a Telegram bot. A 14-day field test yielded RMSE = 104.8 W/m², MAE = 56.1 W/m², and stronger correlation against CAMS (R² = 0.640, r = 0.802) than CS (r = 0.749). The mean daily SD difference was 1.09 hours against CAMS and 2.03 hours against CS. Binary classification for sunshine detection achieved an accuracy of 88.4%, precision of 79.3%, recall of 77.2%, and F1-score of 78.2%. This prototype offers an automated, accurate, weatherproof, and remotely accessible alternative to conventional CS recorders, with strong potential to advance SD monitoring and modernize meteorological infrastructure in Indonesia.
Rancang Bangun Sistem Pemantauan Kadar Air dan Suhu Tanah Otomatis Berbasis IoT Rachmat, Adrian Renaldi; Gibran, Mohammad Attar; Izaaz, Afif; Tempo, Neil Farel Rindra; Abraham, Gabrielle Luoise
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.10

Abstract

Modernization of meteorological observation systems at the Agency for Meteorology, Climatology, and Geophysics (BMKG) is necessary, particularly for soil temperature and soil water content parameters that are still commonly measured using conventional methods. This study presents the design and evaluation of an Internet of Things (IoT)-based monitoring system to improve observation efficiency. The system integrates PT100 sensors to measure soil temperature at depths of 5, 10, 20, 50, and 100 cm, and Capacitive Soil Moisture v2.0 sensors to measure volumetric soil water content at depths of 10, 20, 30, 50, and 100 cm. Data is transmitted in real time via Wi-Fi to Google Spreadsheet and a Telegram bot, enabling remote monitoring and automatic notifications, while also being stored locally on an SD card for reliability. Sensor performance was evaluated through laboratory calibration in a temperature chamber and an 11-day field deployment at the BMKG Regional II Headquarters. Results show good accuracy, with RMSE of 0.93 °C (MAE 0.66 °C) at 5 cm depth and RMSE of 0.43 °C (MAE 0.29 °C) at 10 cm depth, demonstrating reliable system performance.
Pengembangan Aplikasi Desktop dalam Sistem Penyimpanan Otomatis Berbasis Robot dan Visi Komputer Sahro, Ahmad; Budi, Eko Mursito
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.12

Abstract

Conventional storage and management processes in industrial sector are highly vulnerable to risks such as data entry errors, disorganized item placement, and time inefficiency due to human intervention. This phenomenon necessitates digitalization through precise and integrated automation. This research aims to design, implement, and test a application as the central control unit. The novelty of this study is the development of an application architecture that functions as a centralized supervision. This system not only manages the database but also coordinates storage workflows in real time, facilitates two-way industrial communication with FINS protocol, and performs position validation via visual detection. The research method applied is engineering research, using a research-by-project approach. The research stages are systematically, encompassing requirements identification, architecture design, program implementation, hardware integration, and comprehensive functionality testing. The application was developed using JavaFX, integrated with an Omron PLC and a computer vision module based on the YOLOv8 algorithm. Test results demonstrate that the application can perform administrative supervision functions, synchronize data communication with the PLC, and integrate the computer vision module with optimal stability. The implementation of this system is proven to minimize human error and improve the accuracy of goods placement through visual feedback mechanisms and centralized data.
Sistem Monitoring Pertanian Cerdas dan Irigasi Otomatis Berbasis Teknologi Internet of Things (IoT) Istiyono, Yogi Priyo; Rokhmanila, Siti; Rozak, Ojak Abdul
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.14

Abstract

Efficient irrigation management and real-time environmental monitoring are crucial for improving agricultural productivity and optimizing water use, especially in small-scale and urban farming systems. This study presents the development and experimental evaluation of an Internet of Things (IoT)-based environmental monitoring and automated irrigation system for agricultural applications. The system integrates a NodeMCU ESP8266 microcontroller with capacitive soil moisture, soil pH, and DHT11 temperature sensors to monitor key environmental parameters. Data are transmitted via Wi-Fi to the Blynk cloud platform, enabling real-time monitoring through a smartphone interface and a 16×2 LCD display. Automated irrigation is implemented using a relay-controlled 5V DC water pump that operates based on predefined soil moisture thresholds. Experimental validation was conducted by comparing sensor measurements with a standard reference instrument (ETP-302). The results indicate average errors of 3.4% for soil moisture, 4.1% for soil pH, and 2.8% for temperature measurements. The irrigation system successfully activated within the dry soil threshold range (430–520 ADC) and stopped automatically when sufficient moisture was reached, reducing unnecessary water consumption. Overall, the proposed low-cost IoT-based system demonstrates reliable performance, acceptable accuracy, and effective irrigation control, supporting smart agriculture and sustainable precision water management.
Rancang Bangun Sistem Kontrol Mixer Alginate Berbasis Arduino dan Nextion Display Lesmana, Riky Hendra; Anshory, Izza; Sulistiyowati, Indah; Jamaaluddin, Jamaaluddin
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2026.18.1.9

Abstract

This study aims to design and implement an Arduino-based alginate mixer control system with Nextion Display as the user interface. This system was developed to improve the accuracy of mixing time and maintain the consistency of mixing results in the production process. The method used is a design with an experimental approach through testing several variations of stirring time and comparison with a conventional manual timer-based system. The parameters observed include time error and viscosity values of the mixing results. The test results show that the Arduino-based system has better time accuracy with smaller and more stable error values. This has an impact on more consistent viscosity results, which values obtained are in the range of 100–110 dPa·s according to process standards. In addition, the developed system also provides ease of operation and monitoring through real-time displays on the Nextion Display. Thus, this system can be a more effective alternative compared to conventional systems in the alginate mixing process.

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