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Jurnal Otomasi Kontrol dan Instrumentasi
Published by Institut Teknologi Bandung
ISSN : 20852517     EISSN : 24606340     DOI : https://doi.org/10.5614/joki
Core Subject : Engineering,
Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Engineering Industrial & Manufacturing 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.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 240 Documents
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Integrasi Otomasi IoT Berbasis Sensor untuk Pemberian Pakan dan Pembersihan pada Sistem Sangkar Burung Pintar Muhammad Farid Rahman; Muhammad Khoirul Anam; Faiz Husnayain; Rifki Suwandi
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 Muhammad Iqbal; Heri Subagiyo; Yusmar Palapa Wijaya; Amirul Huda
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 Mohammad Attar Gibran; Adrian Renaldi Rachmat; Afif Izaaz; Neil Farel Rindra Tempo; Gabrielle Luoise Abraham; Vasco Yehezkiel Sidauruk; Kris Anderson P. Saragih
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 Adrian Renaldi Rachmat; Mohammad Attar Gibran; Afif Izaaz; Neil Farel Rindra Tempo; Gabrielle Luoise Abraham
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 Ahmad Sahro; Eko Mursito Budi
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) Yogi Priyo Istiyono; Siti Rokhmanila; Ojak Abdul Rozak
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 Riky Hendra Lesmana; Izza Anshory; Indah Sulistiyowati; 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.
Sistem Inkubasi Mikroklimat dengan Kendali Proporsional dan Pemantauan IoT untuk Aklimatisasi Bibit Dendrobium Al Barra Harahap; Vera Khoirunisa; Nauval Abi Sopian; Ahmad Rasya Mahfud
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 2 (2026): [FORTHCOMING] 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.2026.18.2.1

Abstract

Dendrobium orchid seedlings transferred from in vitro culture require stable microclimate conditions during acclimatization, particularly temperature, humidity, and photoperiod regulation, to improve adaptation to non-aseptic environments. However, quantitative evaluations of laboratory-scale incubation systems under constrained actuation conditions remain limited. This study presents a compact microclimate incubation system implementing proportional-only temperature control using fan-based unidirectional cooling, scheduled irrigation and lighting, and real-time IoT monitoring through a Node-RED dashboard. The system was developed using an ESP32-S3 controller and DHT22 sensors in a semi-enclosed multi-tier rack with a capacity of 360 seedling pots. Sensor calibration showed strong agreement with a reference instrument, achieving R² > 0.99 for temperature and humidity measurements. Temperature regulation at a reference value of 29.3 °C achieved a steady-state mean absolute error of 0.1 °C within a deviation range of −0.5 to +0.1 °C during 572 minutes of continuous operation, while maintaining all measurements within ±2 °C of the thermal tolerance range for Dendrobium acclimatization. Increasing proportional gain from  = 1000 to 2550 reduced the reference entry time from 362 s to 208 s. These findings demonstrate that proportional-only control with constrained cooling actuation can provide stable temperature regulation for compact indoor incubation systems.
Rancang Bangun Alat Pulse Oximeter Portabel Berbiaya Rendah Berbasis IoT Indri Desriani; Mona Berlian Sari
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 2 (2026): [FORTHCOMING] 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.2026.18.2.2

Abstract

Real-time monitoring of heart rate and oxygen saturation is commonly performed using conventional medical devices that are impractical for daily use. This study aims to design a low-cost, Internet of Things (IoT)-based portable pulse oximeter prototype for real-time health monitoring. The system employs a MAX30100 sensor to measure BPM and SpO₂, an ESP32 microcontroller for data processing, and an OLED to display the results. The measured data are also transmitted to the Blynk application for remote smartphone monitoring. Performance was evaluated on 20 participants consisting of 10 men and 10 women, by comparing the measurement results with those of the commercial Serenity OX-48 pulse oximeter. System performance was assessed using accuracy, Mean Absolute Error (MAE), standard deviation, and Pearson correlation. The male group achieved an average accuracy of 98.71% for BPM (MAE = 1.09 BPM; r = 0.99) and 99.16% for SpO₂ (MAE = 0.80%; r = 0.92). Meanwhile, the female group achieved an average accuracy of 98.88% for BPM (MAE = 1.01 BPM; r = 0.99) and 99.17% for SpO₂ (MAE = 0.80%). These results indicate that the system delivers accurate, stable, and reliable measurements and is suitable for real-time IoT-based physiological monitoring.
Rancang Bangun Purwarupa Automated Guided Vehicle (AGV) Hemat Biaya Berbasis Mikrokontroler untuk Distribusi Material Internal pada Industri Kecil Menengah (IKM) Yudha Hamdi Arzi; Nazuwatussya’diyah Nazuwatussya’diyah; Achmad Chalid Afif Alfajrin; Muhammad Ihsan Maulana; Mufrih Labib Sadad; Dwi Rahmawati
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 2 (2026): [FORTHCOMING] 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.2026.18.2.3

Abstract

Small and medium-sized enterprises (SMEs) require internal material distribution systems that are efficient, safe, maintainable, and affordable. This study aims to design and test a low-cost microcontroller-based Automated Guided Vehicle (AGV) prototype for internal material distribution in SMEs. The system uses a differential drive configuration, BLDC motor driver, magnetic path navigation, Roboteq MGS1600 magnetic sensor, RPLIDAR C1, ESP32-C3, limit switches, emergency stop, modular battery, and STM32-based PCB control board. The research method includes requirement identification, design formulation, mechanical and electronic design, control software development, system integration, and functional testing. The results show that the magnetic sensor detected magnetic tape up to 3.0 cm. The obstacle detection system produced stopping-distance MAE values of 4.02 cm for human obstacles and 9.39 cm for object obstacles relative to the 30 cm setpoint. Motor-driver characterisation showed an effective PWM duty cycle range of 31-70%, with a saturation speed of about 283 RPM. The AGV prototype also towed approximately 403 kg on a flat track. These results indicate that the proposed AGV can serve as an economical initial alternative for material handling automation in SMEs.

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