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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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Perancangan Bangun Sistem Kontrol Proses pada Alat Pengeringan Biji Kakao Ira Dwitasari; Ahmad Radhy; Putu Eka Widya Pratama; Murry Raditya; Hagai Yemima
Jurnal Otomasi Kontrol dan Instrumentasi Vol 17 No 2 (2025): 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.2025.17.2.10

Abstract

The growth in cocoa production in Indonesia is not matched by its quality, where the drying process is a crucial parameter that must be controlled. Excessively high drying temperatures tend to negatively impact the beans, resulting in a sour aroma, and the beans can become charred. The moisture content in cocoa beans needs to be reduced to a maximum of 7.5% to produce quality cocoa beans. This research developed the creation of a cocoa bean drying box with a drying process control system, temperature and humidity monitoring by the SHT20 sensor. There is a DS18B20 sensor to measure the temperature of the cocoa beans during drying. Two microcontrollers are used: STM32 as a control and displays sensor readings on the LCD, and ESP32 connected to the STM32 to send data to the dashboard and database. The drying process utilizes a heater as a heating element until the temperature reading on the SHT20 sensor is ≤ 55°C. When the heater is inactive, a fan will be active to lower the drying temperature to maintain the drying process at an optimal temperature and prevent damage to the cocoa beans. The results of testing the cocoa bean drying process for 24 hours with data collection every 1 hour, where real-time data is stored in the online dashboard, obtained the average temperature of the drying box room is 51°C, the average temperature of the cocoa beans is 42°C, and the average moisture content of the cocoa beans is 7.5%.
Interactive Learning untuk Pengendali PID Berbasis Website Patricia Fernandez; Ferry Hadary; Seno Darmawan Panjaitan
Jurnal Otomasi Kontrol dan Instrumentasi Vol 17 No 2 (2025): 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.2025.17.2.6

Abstract

Conventional learning methods for PID control systems demonstrate weaknesses in concept comprehension effectiveness due to lack of real-time visualization and theory-practice integration. This study aims to develop a web-based interactive learning platform integrating digital simulation with physical experiments using ESP-32. The research method employs Research and Development approach with ADDIE model including literature study, system design, platform implementation, and evaluation through beta testing with 23 Electrical Engineering students. The platform utilizes ESP-32, DC motor, rotary encoder, BTS 7960 driver, and web interface using HTML, Tailwind CSS, and JavaScript for real-time PID parameter control via WebSocket protocol. Evaluation results show average pre-test and post-test score improvement of 34.7% with paired t-test analysis p < 0.01. The platform achieves ±2% measurement accuracy, 45ms communication latency, and 99.2% WebSocket stability. Quality assessment yields feasibility score 4.2/5.0, practicality 4.0/5.0, and effectiveness 4.3/5.0. The platform significantly improves PID control concept understanding compared to conventional methods.
Rancang Bangun Sistem Pultrusi Arduino Berbiaya Rendah dengan Kontrol Pemanas dan Pemotong Terintegrasi untuk Mengolah Limbah Botol PET menjadi Filamen 3D Printing Aristo Bima; Nur Abdillah Siddiq; Panji Dewandaru; Thomas Oka
Jurnal Otomasi Kontrol dan Instrumentasi Vol 17 No 2 (2025): 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.2025.17.2.4

Abstract

Plastic waste, particularly polyethylene terephthalate (PET) bottles, has emerged as a critical global challenge. Single-use plastic production has continued to increase, while Indonesia generates millions of tons of waste annually, with a significant portion being plastic. To address this issue, this study presents the design of a low-cost Arduino-based pultrusion system for recycling PET bottles into 3D printing filament. Unlike existing open-source solutions that rely on manual or separate processing stages, the proposed system integrates heating, cutting, and cleaning modules into a single automated workflow with real-time control of motor speed and nozzle temperature. Experimental results show that filament tensile strength depends on pultrusion temperature, reaching 67.66 MPa at 195 °C, 62.08 MPa at 185 °C, and 58.64 MPa at 175 °C. Energy analysis indicates that the heater consumed of 0.203 kWh to reach the set-point and 0.509 kWh after one hour, while the pultrusion drive consumed 0.00233 kWh and 0.0257 kWh, respectively. Compared with values reported in prior studies, the tensile strength obtained is within or above typical PET filament ranges. These findings demonstrate that the developed system reduces manual handling, improves efficiency, and produces reliable, energy-efficient filament suitable for additive manufacturing.
Rancang Bangun Sistem Monitoring Level Permukaan Air Pada Simulator Level Air Totok Soehartanto; Herry Sufyan Hadi; Muhammad Hisbun Nasrirrokhim
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.2026.18.1.2

Abstract

Water level monitoring is generally still done manually. To improve monitoring effectiveness, a real-time water level monitoring system was designed using an aquarium simulator. This simulator represents three scenario conditions: Normal, Alert, and Danger. This system uses an ultrasonic sensor to measure water levels, a microcontroller as a data processor, and a wireless communication module to transmit data to a central server. The collected data is displayed on a local display for easy access by readers. Through testing, this system demonstrated an accuracy of 96,43% with a swift data transmission time of 0,05-0,07 seconds. The implementation of this system provides an effective automated monitoring solution, minimizing the need for manual observation, and this system has the potential to improve flood risk mitigation through more accurate and responsive early warnings.
Pemetaan Emosi Publik seputar Pengumuman UTBK 2025 di Indonesia: Pendekatan Multi-Label dengan Kalibrasi Bertarget Rizki Yustisia Sari; Sabar Sabar; Joni Joni; Gelard Unthirta Pratama; Ronal Ronal; Fadli Hastito
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.2028.18.1.1

Abstract

This study maps public emotions in Indonesian-language tweets related to the 2025 UTBK announcement using multi-label emotion classification. The main challenges in multi-label emotion classification on social media include extreme label imbalance, distribution shift between training and application data, and weak lexical signals for specific emotions. This study aims to build a reliable emotion modeling framework for long-tail social media corpora while demonstrating generalizable post-training calibration practices. The novelty lies in the integration of four components: (1) per-label posterior calibration using Platt scaling, (2) precision-targeted per-label thresholding frozen from the development set, (3) score-quantile–based rate targeting to align predicted prevalence with domain-based rates, and (4) context-limited lexicon-aware boosting with a final clamp. The proposed pipeline is lightweight and model-agnostic. This research adopts a quantitative experimental approach by varying post-training calibration components to measure their impact on classification performance. An IndoBERTweet model is trained using BCEWithLogitsLoss on manually annotated data, then calibrated and evaluated on development and test sets. The results demonstrate balanced micro- and macro-level performance, improved detection of minority labels, and emotion mapping over 3,500 tweets with prevalence distributions consistent with Plutchik’s theory of emotions.
Sistem Deteksi Cacat Pada Biji Kopi Melalui Model Algoritma Roboflow- Detection Transformer (RF-DTER) Sabar Sabar; Nazuwatussya’diyah Nazuwatussya’diyah; Kisna Pertiwi; Muhamad Fathurahman
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.2026.18.1.3

Abstract

Coffee bean quality control is a critical stage in processing industries to meet export and consumption standards. Traditional visual manual inspection often results in inconsistency, subjectivity, and reduced production throughput. This research implements the Roboflow Detection Transformer (RF-DETR), an end-to-end transformer-based object detection architecture, to identify subtle and complex coffee bean defects. The study uses image processing and machine learning with a labeled dataset of 2,010 coffee bean images classified into five defect categories: brown, black, unripe, broken black, and partially black. The data are split into 75% training, 17% validation, and 8% testing. Performance evaluation shows RF-DETR detects and classifies all defect types effectively, achieving a mean Average Precision (mAP) of 97,6%, with 95,7% precision, 91,0% recall, and an F1 score of 93,29%. These results indicate that RF-DETR balances accurate spatial localization with reliable class prediction, minimizes false positives, and maintains strong detection sensitivity. Therefore, RF-DETR provides a solid technological basis for high-precision, real-time automated coffee bean sorting in industrial settings. For deployment, it can be integrated with production cameras and conveyor sorting actuators to deliver fast, consistent decisions. Future work may optimize augmentation, lighting calibration, and edge computing deployment to improve robustness across varied production lines in practice.
Kontrol Adaptif Referensi Model untuk Netralisasi pH dalam Pengolahan Air Limbah Batik Nazuwatussya'diyah Nazuwatussya'diyah; Estiyanti Ekawati; Justin Pradipta
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.2026.18.1.4

Abstract

The batik industry generates wastewater with elevated pH levels due to sodium hydroxide usage in dyeing processes, frequently exceeding the regulatory standard of pH 6–9. Traditional dilution methods prove economically inefficient, necessitating more adaptive control strategies. This research designs and simulates a nonlinear adaptive control system based on Model Reference Adaptive Control (MRAC) for pH neutralization using acetic acid. The Continuous Stirred Tank Reactor (CSTR) mathematical model was developed from mass balance, acid-base equilibrium, and electroneutrality principles, then simulated using Ordinary Differential Equation (ODE) functions in MATLAB. MRAC performance was compared with conventional PI controller across various initial wastewater pH conditions. Simulation results demonstrate that MRAC achieves faster convergence, reaching pH 7 in 2488.68 seconds from initial pH 9, compared to PI controller (3080.96 seconds) or uncontrolled system (10225 seconds). With settling time of 2377 seconds versus 2566.4 seconds for PI, MRAC reduces neutralizer consumption by 0.61% (9.5380 L versus 9.5969 L) while maintaining safety criteria above the lower pH bound of 6.80. Lyapunov stability analysis confirms the asymptotic stability of the adaptive controller. This study demonstrates that MRAC offers superior performance for batik wastewater pH control while reducing dependency on uneconomical dilution methods.
Perancangan Strip Biosensor untuk Deteksi Gula Darah dan Asam Urat Berbasis Elektrokimia Retno Maharsi; Vista Sari Afifah; Zikra Maizi; Ading Atma Gamilang; Doni Bowo Nugroho; Amrina Mustaqim
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.2026.18.1.5

Abstract

Rapid and accurate monitoring of glucose and uric acid levels is essential for the early detection of metabolic disorders such as diabetes mellitus and hyperuricemia. This study aims to develop an electrochemical biosensor strip based on a conductive carbon electrode for the detection of glucose and uric acid using glucose oxidase and uricase enzymes. The strip was designed with a three-electrode configuration on an acrylic substrate, which was selected due to its lower resistance and superior coating stability compared to PVC. The signal detection system employed a transimpedance amplifier circuit using the LM358, integrated with an Arduino Uno. Measurements were performed using artificial blood samples with various glucose concentrations (0–200 mg/dL) and uric acid concentrations (0–12 mg/dL). Calibration results demonstrated a linear relationship between analyte concentration and the output current, with R² values approaching 1. After correction, the glucose strip exhibited 92–100% accuracy and 92–97% precision, while the uric acid strip achieved 76–99% accuracy and 96–97% precision. These findings indicate that the developed biosensor strip provides consistent and reasonably accurate measurements, demonstrating its potential as an economical and portable point-of-care device for monitoring glucose and uric acid.
Perancangan Sistem Kontrol Lampu Lalu Lintas Adaptif menggunakan Logika Fuzzy Berdasarkan Jumlah Kendaraan, Panjang Antrian, dan Jenis Kendaraan Yulia Nur Rahmatin; Tina Ainur Rahma; Mochamad Naser Ramadhan; Ahmad Aminudin
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.2026.18.1.11

Abstract

Congestion at signalized intersections is often triggered by the use of fixed-time controllers that are unresponsive to the dynamics of traffic volume, queue length, and vehicle heterogeneity. This study aims to design an adaptive traffic light control system based on a Mamdani-type Fuzzy Logic Controller (FLC) by integrating three input variables: the number of vehicles, queue length, and vehicle type/size. The novelty of this research lies in the use of the vehicle type variable as an explicit input within the FLC model. The system was designed by determining the universe of discourse, membership functions, and a base of 27 IF-THEN rules, which were then implemented in Python using the scikit-fuzzy library through MIN-MAX inference mechanisms and Centroid of Area (COA) defuzzification. Testing was conducted on 27 input combinations representing traffic conditions ranging from low to heavy. The simulation results show that the generated green light duration ranges from 5.09 to 91.60 seconds, with a tendency to increase alongside the rise in the number of vehicles, queue length, and vehicle size. Thus, the proposed model is capable of generating green light duration decisions that are more responsive and representative of mixed traffic conditions.
Perancangan dan Implementasi Sistem IoT Pemantauan Kualitas Air Berbasis Salinitas dan Suhu untuk Identifikasi Risiko Habitat Larva Nyamuk Malaria Rafli Filano; Yudha Hamdi Arzi; Rosita Wati; Rudi Setiawan; Affan Alfarabi; Salma Anindya Oktrina; Maulina Adelia Putri; Budi Santoso; Yusuf Aulia Rahman
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.2026.18.1.8

Abstract

Malaria remains a public health problem in Indonesia, particularly in endemic coastal regions where aquatic habitats serve as breeding sites for Anopheles larvae. This study develops a multi-point Internet of Things (IoT)-based aquatic environmental monitoring system to detect conditions that support larval development through real-time measurement of water salinity and temperature. The system employs a WQ7706D digital salinity sensor, an ESP32 microcontroller, and a low-power NRF24L01 wireless communication module. Laboratory testing indicates that the sensor achieves stable readings after a 20-second stabilization period, with salinity variation of ±0,05 ppt under steady conditions. Field implementation at two coastal water sites in Hanura Village recorded salinity ranges of 1,35–2,3 ppt and temperature ranges of 28,8–30,5°C, which potentially support larval development. The wireless communication system successfully transmitted data up to 150 m with minimal packet loss. Power consumption analysis shows a daily energy requirement of 1,794 Ah, enabling autonomous operation for 10 ± 1  days using a 12 V 20 Ah battery without recharging. The main contribution of this research is the design of an IoT-based aquatic monitoring system that integrates energy optimization, stable wireless communication, and quantitative identification of malaria larval habitat risk.

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