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All Journal JOIV : International Journal on Informatics Visualization Jurnal Otomasi Kontrol dan Instrumentasi ILKOM Jurnal Ilmiah INTEK: Jurnal Penelitian Jurnal Teknologi Elekterika JURNAL SIPISSANGNGI: Jurnal Pengabdian Kepada Masyarakat Inspiration: Jurnal Teknologi Informasi dan Komunikasi JEAT : Journal of Electrical and Automation Technology Majalah Teknik Industri
Sitti Wetenriajeng Sidehabi
Otomasi Sistem Permesinan, Politeknik ATI Makassar
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Public Health Other

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Data Acquisition System on Cocoa Bean Fermenter Using ESP32 Based on MQQT Protocol Akbar, Zainal; Yuriadi; Sidehabi, Sitti Wetenriajeng
Jurnal Teknologi Elekterika Vol. 21 No. 2 (2024)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v21i2.5108

Abstract

The fermentation process of cocoa beans is a critical stage in chocolate production that affects the final quality of the product. To ensure that fermentation takes place optimally, monitoring parameters such as temperature, humidity, and pH is necessary. This research aims to develop and validate an Internet of Things (IoT)-based data acquisition system that uses ESP32 and MQTT protocols to monitor the fermentation process of cocoa beans. The system consists of an ESP32 module connected to DHT22 sensors to measure temperature and humidity, and a pH meter to measure acidity. The data collected by the sensors is sent in real-time via a wireless connection to an MQTT broker, where it can be monitored continuously. System testing was conducted in a small-scale fermentation environment. Validation results show that the system is capable of providing accurate and consistent data when compared to manual measurements using standardized tools. The difference between the data collected by the system and manual measurements was within acceptable tolerance limits, indicating that the system is reliable enough to be used in small-scale applications. The system also demonstrated fast response to changes in fermentation conditions, and stable data connection with minimal latency via the MQTT protocol. The developed data acquisition system has successfully acquired data and validated it using standard measuring instruments. The average data error for the pH sensor is 2.78%, temperature sensor 1.41%, and humidity sensor 1.94%. These error values indicate that the performance of the sensors used is good.
Assessment of wind power plant performance using turbine performance and power curves: a case study of PLTB TOLO I Jeneponto Sofyan, Sofyan; Idris, Ahmad Rosyid; Latif, Muh. Ardiansyah; Thaha, Sarma; Asri, Andarini; Thahir, Muhammad; Sidehabi, Sitti Wetenriajeng
Jurnal Teknologi Elekterika Vol. 21 No. 2 (2024)
Publisher : Jurusan Teknik Elektro Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/elekterika.v21i2.5116

Abstract

Jeneponto Regency in South Sulawesi possesses significant wind potential, making it an ideal location for the development of Wind Power Plants (WPP). However, these WPPs are intermittent due to the inconsistent nature of wind energy, presenting challenges that affect the performance and efficiency of turbines in generating electricity. Therefore, this study aims to evaluate the performance of the SWT-3.6-130 wind turbines at the Tolo 1 WPP in Jeneponto to determine their capability in converting wind energy into electrical energy at specific wind speeds. The evaluation results indicate that the performance of the SWT-3.6-130 wind turbines at the Tolo WPP in February 2022 was not optimal. The maximum output power generated by these turbines approached the maximum capacity of 3.6 MW, with Turbine 06 producing 3.57 MW at a wind speed of 13.07 m/s, Turbine 09 producing 3.57 MW at a wind speed of 12.27 m/s, and Turbine 013 producing 3.58 MW at a wind speed of 12.11 m/s. Although the power generated was close to the maximum capacity, the performance variation among turbines indicates the need for further evaluation to address factors reducing efficiency. Power coefficient analysis shows that Turbine T13 exhibited the best performance, with the fewest instances of power coefficient values not meeting standards. This study provides crucial insights for improving performance and preventing failures at the Tolo WPP in the future.
Development of a Color-Based Image Recognition System for Robotic Sorting and Picking Sidehabi, Sitti Wetenriajeng; Azis, Muhammad Fadli; Asbar, Muhammad
INTEK: Jurnal Penelitian Vol 11 No 2 (2024): October 2024
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v11i2.5009

Abstract

This research presents the development of an automated object sorting and picking system using a robotic arm controlled by colour-based image recognition. The system is designed to enhance efficiency and accuracy in manufacturing processes by eliminating the need for manual sorting. A Dobot Magician robotic arm, an Arduino microcontroller, a conveyor belt, a photoelectric sensor, and a camera are integrated to achieve this goal. Colour segmentation is implemented using the HSV colour space, enabling the system to accurately classify objects based on colour. Experimental results demonstrate the system's ability to successfully sort objects of three colours in a random sequence with 100% accuracy over ten trials.
Comparative Performance Analysis of YOLO and Faster R-CNN in Detecting Species and Estimating the Weight of Grouper and Snapper Fish Using Digital Images Sidehabi, Sitti Wetenriajeng; Indrabayu, Indrabayu; Warni, Elly; Bake, Sabda Ansari
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.3121

Abstract

Grouper and snapper fish are widely consumed species with high economic value in the global market. To determine their economic value, identifying the species and estimating the weight are essential in the pricing and quality determination of the traded fish. The commonly used manual methods are often time-consuming and labor-intensive. Based on this, a more effective computer-based method is needed for these repetitive tasks. This research aims to analyze the performance of two commonly used deep learning models, YOLO and Faster R-CNN, in detecting species and estimating the weight of specific grouper and snapper fish. The data used consisted of 2991 samples divided into 18 classes. This data was then augmented using rotate and flip features to create 6843 image samples. A threshold of 0.8 was used in the detection process, meaning objects detected with confidence below 0.8 would be ignored. Once trained, the performance of both models was tested using precision, recall, and accuracy parameters to assess how accurately the models predicted fish species from the input data and Mean Absolute Percentage Error (MAPE) to evaluate the estimation results of the models. There were differences in the quantitative evaluation results between the YOLO and Faster R-CNN models. The YOLO model achieved precision, recall, and accuracy rates of 0.98, 0.98, and 0.96, respectively, while the Faster R-CNN model had precision, recall, and accuracy rates of 0.97, 0.98, and 0.95, respectively. Additionally, the MAPE for weight estimation was 2.42% for image data and 3.66% for video data for the YOLO model. In contrast, for the Faster R-CNN model, the results were 14.62% for image data and 13.59% for video data. Thus, it can be concluded that the YOLO model provides better quantitative evaluation results compared to the Faster R-CNN model.
Design and Development of a Coconut Milk pH Monitoring System via WhatsApp Notifications at PT. Sasa Inti Minahasa Selatan Wetenriajeng Sidehabi, Sitti; Mahdali, Al; Tri Antono, Fadlan
JEAT : Journal of Electrical Automation Technology Vol. 4 No. 1 (2025): JEAT : Journal of Electrical and Automation Technology
Publisher : UPPM Poltek ATI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61844/jeat.v4i1.1231

Abstract

The quality of coconut milk is a crucial aspect in the production process at PT Sasa Inti Minahasa Selatan. Manual quality assessments of coconut milk often consume time and may lead to inaccuracies. To address this issue, this study aims to design and develop a pH monitoring system for coconut milk that can automatically send notifications via WhatsApp. The system uses a pH sensor connected to a microcontroller to monitor the pH level of the coconut milk in real-time. The pH data obtained is processed by the microcontroller and sent via API to the WhatsApp application when the pH level falls outside the predefined range. Test results indicate that the system can accurately measure pH levels and send timely notifications, allowing operators to take corrective actions quickly. The implementation of this monitoring system is expected to improve the efficiency of coconut milk quality monitoring and reduce the risk of defective products, thereby positively contributing to the overall production quality at PT Sasa Inti Minahasa Selatan.
Implementasi Mesin Pengeruk Isi Buah Markisa berbasis Mikrokontroler dan Elektro Pneumatik Sidehabi, Sitti Wetenriajeng; Akbar, Zainal; Habibuddin, Julianti; Ramadhan, Muh. Alamsyah
Jurnal Otomasi Kontrol dan Instrumentasi Vol 15 No 2 (2023): 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.2023.15.2.1

Abstract

Passion fruit has a distinctive sweet and sour taste, which is quite popular in Indonesia, especially in South Sulawesi. Passion fruit is processed into syrup, and dodol is one of the typical souvenirs popular with tourists. Processing passion fruit syrup in the Micro, Small, and Medium Enterprises (MSMEs) Industry still uses very simple equipment. Hence, the quality and quantity of the product produced are not optimal. Passion fruit cutting uses a knife with a low capacity for cutting and shrinkage results, so this research aims to design a passion fruit-filled shaver machine based on a microcontroller and electro-pneumatics. This passion fruit shaver machine uses a microcontroller as the control center. First, the passion fruit passes through an infrared sensor, which detects the fruit and counts the number of incoming fruits. After that, Arduino Uno reads and activates the control relay from the DC motor. After 0.5 seconds, cylinder 1 is active, which pushes the DC motor down so that the passion fruit shrinks for 3 seconds. Then, the pneumatic push up to the normal position; after 0.5 seconds, the second cylinder actively pushes the passion fruit skin that has been shaved out (thrown away). This processes for 1 second and returns to its normal position. If there is passion fruit, it comes in again, and the tool functions similarly, and so on. The results of this study produced a passion fruit shrinker machine with dimensions of length 300 mm x width 300 mm x height 600 mm, a motor power of 240 Watt or 0.321 HP, and a production capacity of 54 kg/hour.
ESP32-Based Sumo Robot Control System Using PlayStation 4 Controller with Semi-Autonomous Ultrasonic Features Sidehabi, Sitti Wetenriajeng; Mubarak, Muhammad Muflih; Gani, Hamdan
ILKOM Jurnal Ilmiah Vol 17, No 3 (2025)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v17i3.2591.292-301

Abstract

This study presents the design and implementation of a sumo robot control system integrating an ESP32 Devkit V1 microcontroller with a wireless PlayStation 4 controller and semi-autonomous features based on the HC-SR04 ultrasonic sensor and MG-995 servo motor. The system addresses challenges in sumo robots, including communication stability and control precision. Hardware integration involved DC motors, an L298N driver, and a LiPo battery, while software development used the Arduino IDE with Bluetooth connectivity. Experimental testing demonstrated stable communication with a maximum range of 36 meters, an average controller connection time of 1.998 seconds, and 100% detection accuracy within a 10 cm radius. Push performance tests showed the robot could move loads up to 1655 g with standard tires and 3340 g with sponge tires. These results highlight the advantages of combining consumer-grade game controllers with advanced microcontrollers, offering improved precision, extended range, and intuitive user interaction for competitive robotics.
Co-Authors Ahmad Rosyid Akbar, Zainal Amil A. Ilham Anugrayani Bustamin Asbar, Muhammad asri, andarini Asyraful Insan Asry Aulani, Tiara Bake, Sabda Ansari Chatarina Umbul Wahyuni Elly Warni Habibuddin, Julianti Hamdan Gani Indrabayu Indrabayu Intan Sari Areni Irfan, Alfius Latif, Muh. Ardiansyah M. Hamka Kadir Mahdali, Al Muammar Mubarak, Muhammad Muflih Muh. Alief Fahdal Imran Oemar Muhammad Fadli Azis Muhammad Thahir Mutmainnah Nirmalasari Rahman Rachma Rachma Ramadhan, Muh. Alamsyah Rizal, Muh Rizman Saiful Ashar Sofyan Sofyan St. Nurhayati Djabir Thaha, Sarma Tri Antono, Fadlan Wahidah Yuriadi