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Jurnal Teknik Elektro dan Komputer TRIAC
Published by Universitas Trunojoyo Madura
ISSN : 26157764     EISSN : 26155788     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Jurnal Triac merupakan Jurnal Ilmiah di bawah naungan Program Studi Teknik Elektro, Fakultas Teknik Universitas Trunojoyo Madura. Jurnal TRIAC diterbitkan pertama kali pada bulan desember 2014, dan diterbitkan dua kali dalam setahun. Jurnal Triacs berisi artikel-artikel ilmiah yang meliputi bidang-bidang : Teknik Elektro, Multimedia, Mekatronika, Jaringan serta hasil Penelitian lainnya yang terkait dengan bidang-bidang tersebut.
Arjuna Subject : -
Articles 8 Documents
 1 
Search results for , issue "Vol 12, No 1 (2025): Mei 2025" : 8 Documents clear
Damage Analysis and Repair in Overhaul Motor Pump Water Treatment Plant (WTP) PT Petrokimia Gresik Sub Babat Lamongan Plant using FMEA Method Dzaky Budhi Pratama; Pressa P Perdana Surya
Jurnal Teknik Elektro dan Komputer TRIAC Vol 12, No 1 (2025): Mei 2025
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v12i1.29940

Abstract

In the Water Treatment Plant (WTP) industry, motor pump maintenance is very important to maintain system performance. PT Petrokimia Gresik Sub Babat Lamongan Plant faces challenges in maintaining motor pumps that are crucial to their operations. To improve maintenance and reduce failures, a damage analysis was conducted using the Failure Mode and Effect Analysis (FMEA) method. This study aims to evaluate the potential for motor pump damage by identifying various failure modes, their impacts, and appropriate repair steps. FMEA is used to assess the risk of each failure mode, focusing on early detection and repair recommendations to improve motor pump reliability and efficiency. From 430 data analyzed, several main failure modes were found: lights out (27.6%), motor cable broken (19.6%), Motor fault (17.3%), crane jammed (9.2%), and pump jammed (6.9%). Other damages such as broken light switches, oil leaks, and abnormal sounds have a smaller percentage. The average Severity value of 6.75, Occurrence 4.5, Detection 5, and the highest Risk Priority Number (RPN) value of 252 were found in Motor Fault mode, indicating that Motor fault is the biggest risk that must be the main priority in handling and repair.
Prototype of Tomato Fruit Sorting Based on Color Based on Esp32-Cam with Fuzzy Logic Method Rizka Nur Fitasari; Denny Irawan
Jurnal Teknik Elektro dan Komputer TRIAC Vol 12, No 1 (2025): Mei 2025
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v12i1.29981

Abstract

The demand for fruits, especially tomatoes, continues to increase due to their widespread use in cooking, sauces, and juices. Before distribution, tomatoes must be sorted by weight, size, and color. The current sorting process is still done manually, making it less efficient and accurate. To overcome this, this study developed a prototype of an automatic sorting system using ESP32-CAM, HCSR04 distance sensor, and TCS34725 color sensor with fuzzy logic method. The HCSR04 sensor showed an average distance measurement error of 1.8%, indicating high accuracy in measuring tomato size. Color analysis with the TCS34725 sensor revealed different RGB value dominance patterns according to the ripeness of the tomatoes: green tomatoes are dominated by green values (G), yellow tomatoes are dominated by red values (R) that are close to green values, and ripe tomatoes have the most dominant red values compared to green and blue (B). With the application of fuzzy logic, the system is able to classify tomatoes into three categories: good, medium, and bad. Out of 12 trials, the system successfully classified correctly 11 times, resulting in an accuracy of 91.67% and an error rate of 8.33%. These results indicate that the fuzzy logic-based sorting system is effective in recognizing and classifying tomatoes based on color and size, although there is still room for further improvement to improve accuracy and reliability.
Transfer Learning Analysis VGG16 For the Detection of Tuberculosis Erna Dwi Astuti; Muslim Hidayat
Jurnal Teknik Elektro dan Komputer TRIAC Vol 12, No 1 (2025): Mei 2025
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v12i1.28672

Abstract

- Indonesia is still one of the countries with the highest growth of TB disease in the world. TB is an infectious disease that can cause severe lung damage, even death. TB is a critical case to be detected early so that patients immediately get the proper treatment. The challenge is the difficulty in diagnosing symptoms that are not specific and similar to other diseases. Therefore, further research is needed to find a faster, more accurate, affordable TB detection method. VGG16 is one of the Convolutional Neural Network (CNN) architectures that has the characteristic of recognizing delicate patterns of chest X-ray images of TB patients. Transfer learning on VGG16 can increase the accuracy of detecting TB disease even though it uses a small amount of training data. The trial results show that the VGG16 transfer learning technique can produce better performance with an accuracy of 94%. The accuracy value can be used to benchmark that the VGG16 transfer learning technique is proven effective in detecting TB disease
Rancang Bangun Sistem Informasi Pelayanan Hukum Menggunakan Metode Personal Extreme Programming Pada Pusat Layanan Hukum Institut Teknologi Kalimantan Dwi Nur Amalia; Fahmi Fauzan Firman; Sri Rahayu Natasia; Farida Nur Hidayah; Aidil Saputra Kirsan
Jurnal Teknik Elektro dan Komputer TRIAC Vol 12, No 1 (2025): Mei 2025
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v12i1.29849

Abstract

Each institution has services that play an important role in supporting smooth operations, just as the Kalimantan Institute of Technology (ITK) has legal services through the Legal Service Center (PLH). PLH is tasked with providing administrative support and legal information to the academic community. However, in its implementation, PLH faces various obstacles such as existential challenges related to clarity of roles, duties, services, and functions, as well as a lack of transparency, especially in the process of making the Rector's Decree. In addition, the lack of an integrated system causes service data management to be scattered, causing inefficiencies in data management and business processes that run on each service. To overcome these problems, a website-based Legal Service Information System was developed using the Personal Extreme Programming (PXP) method with stages of system needs analysis, planning, iteration initiation, design, implementation, system testing, and retrospective. This system was developed using the Laravel framework with features such as checking the status of decision letters, reviewing memoranda  of understanding and agreements, reviewing rector regulations, and legal consultation. The system was completed by the developers with 6 iterations and 41 user stories. There are 4 main actors: the head of PLH, PLH staff, rectorate staff, and users. The test was carried out using the black box testing method in each iteration with the Legal Service Center of the Kalimantan Institute of Technology, and the results were in accordance and successfully carried out.
Optimization of Electrical Energy Data Monitoring System Management in Smart Home System for Electrical Switches Using Extreme Programming Method Hendy Indrawan Sunardi; Aidil Saputra Kirsan; Muhammad Hafidh Ma’ruf; Irma Fitria
Jurnal Teknik Elektro dan Komputer TRIAC Vol 12, No 1 (2025): Mei 2025
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v12i1.29862

Abstract

Technological advances are currently increasing rapidly, this development cannot be denied that it can provide convenience to humans in their daily lives, one of which can be through the implementation of a smart home system based on the Internet of Things (IoT). In this study, the implementation will implement a real-time monitoring and control system for electricity usage through an IoT-based electrical switch to be able to implement a smart home system based on the Internet of Things. In previous studies, the system has been successfully implemented but still has limitations such as the electrical energy monitoring system only displays data for one month, the size of the device is less efficient, and still has instability of the electric current given to the microcontroller. Therefore, this study aims to optimize the smart home system on an IoT-based electrical switch so that it can be used more efficiently and flexibly. Development of a website-based system so that it can be used flexibly. This study uses the Extreme Programming (XP) method because this method is considered suitable for this development because it provides dynamic and flexible needs in change. This research is expected to provide increased efficiency, flexibility, and responsiveness so that it can reduce energy waste and provide convenience for users in managing electricity consumption effectively.
Iot Optimization in Marine Weather Monitoring for Maritime Activities with Mamdani Fuzzy Analysis Method Amir Ardika Cahya Riyatna; Iman Fahruzi
Jurnal Teknik Elektro dan Komputer TRIAC Vol 12, No 1 (2025): Mei 2025
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v12i1.29899

Abstract

Fishermen's activities are highly dependent on weather information. Wind speed, temperature and humidity are important to know so that fishermen can prepare their needs when they want to sail. This research focuses on fishermen and coast guards as the main users to know the condition of the beach. This system uses BME280 sensors to determine air temperature and humidity, while wind speed is obtained from an anemometer sensor. The sensor readings are then sent to the IoT server via the MQTT protocol. Optimization of the IoT system is carried out using fuzzy methods so that the performance results based on the Mean absolute deviation (MAD) value of 0.012236364 and Mean Absolute Percentage Error (MAPE) 0.0258583%. The developed system is able to provide information needed by fishermen and coast guards in providing early warning based on environmental parameters so that it can be used to support decision making related to weather conditions.
Design of a Fire Spot Identification System in PT. PAL Indonesia Work Area Using YOLOv5s Agus Khumaidi
Jurnal Teknik Elektro dan Komputer TRIAC Vol 12, No 1 (2025): Mei 2025
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v12i1.29939

Abstract

PT. PAL Indonesia is a company that operates in the field of national-scale ship production, which has the potential for fire hazards during the ship fabrication process. Therefore, a fire protection system must implemented. This research began with observation to determine the suitability of active and passive fire protection systems in the workplace based on several standards such as SNI 03-3985-2000, NFPA 13, Permenaker no. 04/1980, Permen PU no. 26/PRT/M/2008, and SNI 03-1745-2000. Observational data collection used a checklist with a cross-sectional research design. This production site has the potential for danger, causing fires in large areas, including Irian Dock and Sumatera Dock. Active fire protection has several types such as alarms, detectors, sprinklers, fire extinguishers, and hydrants. In passive fire protection, the assessment is based on the building structure. Field observations showed that active protection systems such as alarms were in the good category, detectors in the good category, sprinklers in the good category, light fire extinguishers (APAR) in the good category, hydrants in the good category, and passive fire protection systems in the good category. To support active and passive fire protection systems, this research proposes a fire spot recognition system based on YOLOv5s by utilizing CCTV facilities that are installed in the PT PAL work area. Dataset collection was carried out using image samples for each class, four classes were used in this research, including RMO class (type of work that causes a combination of flash points and sparks such as grinding and welding work), spark class, fire spot class and finally the fire class. The research used 1971 training data, 515 validation data, and 262 testing data. The best results were obtained with an IoU threshold value of 0.5 which had an mAP value during testing for all classes of 0.919. The accuracy produced through the confusion matrix is 0.755 or 75.5% with object detection testing on running videos showing a fairly high and stable accuracy value
Design of a Cashless Vending Machine System for the Distribution and Conservation of Traditional Herbal Medicine Monika Faswia Fahmi; Deni Tri Laksono; Muhammad Arya Rangga Waskita Wicaksono
Jurnal Teknik Elektro dan Komputer TRIAC Vol 12, No 1 (2025): Mei 2025
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v12i1.30238

Abstract

Indonesia, as a center of biodiversity, plays a significant role in preserving various plant species, including approximately 28,000 plant varieties and 7,500 medicinal plant species, representing 10% of the global total. Indonesians have long relied on traditional herbal remedies derived from wild plants, with jamu being one of the most prominent products. However, the market penetration and accessibility of traditional jamu remain limited. This research proposes the implementation of a vending machine with a cashless payment system to improve accessibility and promote the preservation of traditional jamu. The vending machine provides six jamu variants and three water temperature options, utilizing a cashless payment system integrated with an ESP-32 and Arduino MEGA 2560 microcontroller. The system incorporates the Midtrans payment gateway with a dedicated website to support seamless cashless transactions. Test results show that the vending machine dispenses jamu with an average weight of 219.81 g, yielding an error margin of 1.18% from the 220 g setpoint. The average brewing time is 93.7 seconds, with water temperature aligning with user preferences. Cashless payment testing achieved a 100% success rate, demonstrating the system’s effectiveness.

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