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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 226 Documents
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Implementasi Convolutional Neural Network Berbasis Model untuk Klasifikasi Kelayakan Citra Permen Jahe pada Perangkat Android Dwipriyoko, Estiyan; Pamungkas, Fabio Syechan; Kusmaya , Kusmaya; Kusuma, Dianne Amor
Jurnal Otomasi Kontrol dan Instrumentasi Vol 17 No 1 (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.2025.17.1.5

Abstract

Ginger is one of the primary ingredients for ginger candy. The manual process of evaluating the feasibility of ginger candy at the Tasacika Company is still prone to errors and is less efficient. This research aims to develop a Convolutional Neural Network model for classifying the feasibility of ginger candy and create an Android-based application that facilitates this process. The research method uses an Experimental approach. Model development is carried out with a Convolutional Neural Network with the MobileNetV2 architecture, using the Cross Industry Standard Process for Data Mining methods. Software development is done using the Prototyping method. This research used a dataset of images taken directly from the Tasacika Company's ginger candy factory. The model is trained and tested using Google Colab with the Python programming language and the TensorFlow and Keras libraries. Implementation is carried out using Kotlin and XML. It can be concluded that the research has succeeded in developing a ginger candy feasibility classification model. The test results show that the developed model is effective in minimizing human error in the process of checking the feasibility of ginger candy. This research also succeeded in developing an Android-based ginger candy feasibility classification application
Purwarupa Alat Bantu Penuang Gelas Ukur 100 ml Menggunakan Motor Servo Berbasis Mikrokontroler Muslim, Azis; Robi'ah, Regita; Prihensa, Herfin Yienda
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.2025.17.2.1

Abstract

Pouring liquid from a measuring cylinder requires careful consideration of the appropriate tilt angle to achieve optimal emptying conditions. Drip time and emptying time are critical parameters for maximizing pouring efficiency. This study presents the design of a microcontroller-based system to automate the pouring process of a measuring cylinder. The developed prototype utilizes an MG996R servo motor as the actuator and an Arduino Uno microcontroller as the control unit. The system comprises two main components: a servo motor-based mechanical pouring structure and microcontroller-based automation software. The initial phase involved designing the structure using 3D modelling software, manufacturing, and manual assembly. Simulations were conducted using SolidWorks software. Experimental results showed that the liquid pouring time at a 120° angle was 9.89 seconds with a 4.76% error, at 150° was 12.38 seconds with a 3.78% error, and at 170° was 13.97 seconds with a 2.73% error. The total emptying time for a 100 ml measuring cylinder was recorded at 62.69 seconds with a 0.81% error.
Zentra: Meja Belajar Pintar Portabel Berbasis Iot Untuk Gen Z Fakhruddin , Fauhad Ziyad; Setyawan, Galih
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.2025.17.2.2

Abstract

The advancement of technology has significantly influenced future generations, including Generation Z. This generation is highly dependent on technology, especially in learning activities. However, learning effectiveness is often disrupted by environmental factors such as room temperature, poor lighting, and back pain due to prolonged static sitting posture. This research aims to design a portable smart study desk based on the Internet of Things to improve learning comfort and productivity. The system is developed using an ESP32 microcontroller connected to several sensors. The FSR402 sensor detects arm pressure as an indicator of sitting posture, the DHT22 monitors temperature and humidity, and the LDR senses ambient lighting. Additionally, the desk is equipped with a cooling fan controllable via smartphone. Sensor data is transmitted in real-time to the Blynk platform and supported by a notification system to alert the user. Accuracy testing was conducted using reference tools such as a thermohygrometer and a luxmeter, along with evaluating the effectiveness of the laptop cooling feature. The results show that the system can provide accurate environmental data and support more productive and effective study sessions. These findings highlight the potential for further development of adaptive IoT-based learning tools tailored to modern user needs.
Pengembangan Alat Portabel Pengukur Kadar Air dan Suhu Biji Kopi Berbasis ESP32 dengan Sensor Kapasitif dan Penyimpanan Data Real-Time Rohman, Ardianto Syaifur; Nari, Mochamad Irwan; Siahan, Daniel Fernando; Jamil, Mursit; Kurniawan, Atalarick Dwi Novial; Dwianto, Sihmaulana; Genarsih, Tunjung; Asmono, Sepdian Luri
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.2025.17.2.12

Abstract

The primary quality indicator of coffee beans is determined by their moisture content. This study aims to develop a portable prototype device for measuring both the moisture content and temperature of coffee beans, utilizing an ESP32 microcontroller integrated with a Capacitive Soil Moisture Sensor v1.0 and an SHT21 sensor. The device is designed to provide accurate and efficient measurements, with results displayed in real time on an OLED screen. In addition, the system stores measurement data on an SD card for further analysis. Experimental testing was conducted five times for each sample, comparing the results of the prototype with reference instruments, namely the YL-69 sensor for moisture measurement and a digital thermometer for temperature measurement. The results demonstrated that the device achieved a high level of accuracy, with an average relative error of 1.05% for moisture content and 0.91% for temperature. Furthermore, the prototype was proven to be portable and energy-efficient, consuming 7.7 Wh over 1.1 hours of operation, as evaluated through battery-based performance testing until full discharge. With its integrated data storage and real-time monitoring capabilities, this device provides a practical solution for coffee farmers and processors in maintaining and ensuring the quality of coffee beans.
Rancang Bangun Sistem Monitoring Temperatur Dan Kelembapan Berbasis Internet of Things Untuk Rantai Dingin Penyimpanan Vaksin Adilah, Utami Nuri; Hendrawan , Aurellia; Arman, Muhammad; Khakim , Nur; Aziz, Rofan
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.2025.17.2.5

Abstract

Temperature and humidity monitoring are important aspects of the cold chain vaccine storage system for preserving quality. Manual temperature recording risks missing readings, which compromise the vaccine quality. Excessive humidity may cause condensation on packaging, while very low humidity can reduce the stability of certain vaccines. This research aimed to design and build an Internet of Things (IoT) monitoring system with real-time notifications and website integration to support the vaccine storage cold chain system. The system used an ESP32 microcontroller, an SHT31 sensor, and dual storage (Firebase and SD Card). Development utilized Arduino IDE, Next.js framework, Telegram bot, Firebase, and Visual Studio Code editor. Tests included accuracy measurement, received signal strength indicator (RSSI) measurement, notification and data monitoring for several days. Performance was tested in Bio Farma's cold room, freezer, and walk-in cooler at Politeknik Negeri Bandung to represent various vaccine storage conditions. The results show that the system records data in real-time with a high level of accuracy (temperature error <1%, RH ±15%), low data loss (6 out of 426 data in 10 days), and operating endurance of ±3 hours. Tests proved the system to be an accurate, automated monitoring system for the cold chain vaccine storage.
Perancangan Sistem Otomatisasi Pengomposan Pupuk Organik Cair dengan Sensor Suhu Berbasis Internet of Things Rohmatusfaida, Widya
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.2025.17.2.7

Abstract

Organic waste management is a significant environmental challenge, yet it has the potential to produce valuable products such as liquid organic fertilizer. Conventional composting processes tend to be inefficient and require manual intervention. This study aims to design and implement an automated composting system for liquid organic fertilizer based on the Internet of Things (IoT) using the ESP32 microcontroller, DS18B20 temperature sensor, and actuators including a pump, exhaust fan, and stirring motor. The system is designed with temperature set-point-based control logic, where actuators are automatically activated when the temperature falls below 25 °C or rises above 50 °C. Testing was conducted in two stages: without load and with organic material load. Temperature sensor calibration results showed high accuracy with an average error of 0.08 °C and precision with a standard deviation of 0.2 °C. The system proved capable of operating independently, responding quickly to temperature changes, and integrating with the Ubidots and Telegram platforms for real-time monitoring and notifications. The main contribution of this research is the implementation of a temperature-based automatic control system integrated with IoT, which differs from previous studies that mostly focused only on monitoring functions.
Sistem Pemantauan dan Pengendalian Oksigen Terlarut Berbasis IoT untuk Budidaya Udang Vannamei di Air Payau Menggunakan Long Range Wide Area Network (LoRaWAN) Mujiyanti, Safira Firdaus; Radhy, Ahmad; Cahya, Mia Nilam; Segar, Yus Putri Arum
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.2025.17.2.11

Abstract

Vannamei shrimp farming in Indonesia is increasing due to its high economic value. Water quality management in aquaculture ponds is crucial to minimize the number of diseases related to poor water quality. One of the water quality parameters in shrimp farming is dissolved oxygen. In this monitoring and control system for dissolved oxygen in brackish water Vannamei shrimp farming based on the Internet of Things (IoT) using the Long Range Wide Area Network (LoRaWAN), measurements of dissolved oxygen levels in cultured water are carried out and displayed in the Android application so that it can be monitored by farmers in real time. When the dissolved oxygen level in the cultured water is more than 5.7 mg/l, the aerator will be OFF, but if the dissolved oxygen level is less than 5.7 mg/l, the aerator will be ON to maintain optimum dissolved oxygen levels for shrimp farming, which is more than 5 mg/l. Dissolved oxygen sensor validation is carried out, resulting in a measurement error correction value of 2.25% and an accuracy level of 97.74%. Based on the test results, this device can monitor dissolved oxygen in real time and operate the control system to maintain levels above the predetermined setpoint of 5 mg/l.
Rancang Bangun Intensitymeter Berbasis MEMS Dengan Algoritma Pendeteksi Kejadian STA/LTA dan Sistem Peringatan Multi-Saluran Rawana, Aziz; Rusanto, Benyamin Heryanto; Trihadi, Edward; Nardi, Nardi
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.2025.17.2.8

Abstract

Indonesia is an earthquake-prone country due to its location at the convergence of three major tectonic plates. To support disaster mitigation, a reliable and affordable monitoring system is required. This study presents a low-cost intensitymeter using a MEMS WT61C sensor with the STA/LTA detection algorithm, Raspberry Pi 4 for processing, and a Ublox Neo-M8N GNSS module for time and location synchronization. The system supports online and offline modes with a store-and-forward mechanism and delivers alerts via buzzer, SMS, and Telegram. The WT61C was configured with 20 Hz bandwidth and 100 Hz sampling rate. Tests showed the device detected local earthquakes, calculated Peak Ground Acceleration (PGA), and estimated Modified Mercalli Intensity (MMI). In simulations of the Lombok 2018 earthquake (M7.0), it produced PGA values of 0.5704 g (23.3% error) and 0.7495 g (0.8% error) against the reference 0.744 g, both consistent with MMI VIII. SMS was sent serially with 5–7 s latency, while Telegram worked in real time. Validation was limited to a simulator with one dataset, without diverse soil or magnitude scenarios. In conclusion, the system provides an effective, low-cost solution for earthquake intensity monitoring and has potential for early warning applications.
Manajemen Kenyamanan Cerdas di Ruang Kelas Menggunakan Deteksi Okupansi Berbasis SSD dan Pengendalian Lingkungan Berbasis PMV Harahap, Al Barra; Khoirunisa, Vera; Hutahaean, Berton Charisdito; Tarigan, Donni Marulitua; Siregar, Sefrani I.G; Harahap, Hasanah Pratiwi
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.2025.17.2.9

Abstract

Room comfort is critical for enhancing productivity, particularly in classrooms. Two key factors are temperature and lighting, governed by ASHRAE 55 for thermal comfort (PMV range of –0.5 to 0.5) and SNI 6197:2020 for classroom lighting (350 lux). This study develops an intelligent system that coordinates occupant detection with temperature and lighting control. Occupant detection was implemented using the Single Shot MultiBox Detector (SSD) with MobileNetV2, a camera as the sensor, and image processing on an NVIDIA Jetson Nano. The detected occupant coordinates were used to control lighting patterns, while temperature was measured with a DHT22 sensor and regulated through PMV-based calculations. The recommended temperature setpoints were transmitted to an air conditioner via an IR blaster controlled by an ESP8266. Experimental results show that the detection system achieved 95% accuracy, 99% precision, 95% recall, and a 97% F1-score at a threshold of 0.3. The lighting control system achieved a MAPE of 14.49%, while the temperature control system achieved a MAPE of 4.53% with an average MAE of 1.1 °C. These findings demonstrate that the proposed system effectively integrates occupant detection with automated temperature and lighting control, ensuring improved classroom comfort.
Pengembangan Perangkat Surface Plasmon Resonance (SPR) sebagai Transduser Biosensor Hastito, Fadli; Juliastuti, Endang; Yuliarto , Brian
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.2025.17.2.3

Abstract

This study developed a simple and cost-effective laboratory-scale Surface Plasmon Resonance (SPR) device called β SPR. SPR is a sensitive, real-time, and non-labeling technique widely used to detect the concentration and quality of solutions. However, the very high price of commercial SPR devices is a barrier, so a portable and affordable version was developed. The β SPR device uses a Kretschmann configuration with a 670 nm laser, a polarizer, and a modified Porro BA4010 prism for a simpler and more efficient optical configuration. A thin gold film (~50 nm) is placed on the prism using immersion oil, and the test solution is flowed through a flow cell. The laser is fired at a 90° angle to induce p-polarized waves that trigger surface plasmon resonance. This phenomenon decreases the light reflectance, forming a dip curve used for analysis. The device was tested using glucose solution (0.05–0.27 M) and compared with a commercial SPR device (α SPR). The results show a shift in the angle with increasing concentration. The highest error was 6.53% at 0.05 M, and the lowest was 0.94% at 0.27 M. The β SPR sensitivity was recorded at 4.41⁰/M, showing promising performance for cost-effective biosensor applications.

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