Jurnal Media Elektro

PENGGUNAAN MIKROKONTROLER UNTUK MENDETEKSI ERROR COUNTING DAN DISTURB PADA AXLE COUNTER ALTPRO

Dea Pradita Rahmawati — 2024-10-01

Axle counter is an important component in controlling train traffic. So far, error counting and disturb disturbances can only be seen in the Equipment Room and require different handling. This study develops a tool that provides fast notification of the type of disturbance on the track to the Negative Check Officer (PNC) smartphone. This tool uses an atmega 2560, ESP8266 Wemos D1 Mini Pro, PC817 optocoupler, Light Dependent Resistor sensor, and an application created in Android studio. This study uses the Research & Development Method to produce and test the effectiveness of the product. After being tested 55 times, this tool was able to send disturbance notifications with 91% success. The average internet speed in the Equipment Room is 11.2 Mbps and on smartphones 10.10 Mbps. The average notification delivery time is 2.097 seconds. This system is expected to make it easier for PNC to handle disturbances on the track..

Keywords: Axle counter, Disturb, Error counting, Notification.

IMPLEMENTASI DECISION TREE PADA SARUNG TANGAN PINTAR PENERJEMAH SISTEM ISYARAT BAHASA INDONESIA GUNA MEMBANTU KOMUNIKASI PENYANDANG DISABILITAS TUNARUNGU

Ahmad Himawari Rasidy — 2024-10-07

This research implements the Decision Tree algorithm in a Smart Glove to classify hand signals representing numbers 1 to 5 in the Indonesian Sign Language System (SIBI). The system utilizes flex and gyro sensors to capture hand movements, which are then processed and classified using the Decision Tree algorithm. Training data was collected from multiple trials, resulting in an accuracy of 79% across 50 trials. The model's performance evaluation yielded precision, recall, and F1-score values ranging between 80% and 90% for each number class. The best performance was achieved with number 1, reaching 90% in precision, recall, and F1-score. However, areas for improvement were identified in precision and recall for numbers 2 and 4. Although the results are adequate, this study highlights the need for further development in enhancing model accuracy, particularly by increasing training data and refining the algorithm. The Smart Glove is expected to aid communication for individuals with hearing disabilities and holds potential for future expansion to recognize more complex gestures.

PENERAPAN ALGORITMA SEQUENTIAL SEARCH PADA CHATBOT WHATSAPP UNTUK LAYANAN PENGADUAN APLIKASI SMEP

Dwi Rahmawati — 2024-10-07

SMEP, or Reporting Evaluation Monitoring System is a web-based application designed to provide information on the progress of goods and services procurement within the Ponorogo Regional Government. Currently, consultations related SMEP are conducted manually through the WhatsApp platform, but there is no mechanism to process information from the submitted reports. The Development Administration Divisioon identified the need to develop a chatbot whatsapp complaint service application, to strengthen interactive relationship with users. This application implements the Sequential Search algorithm to accelerate the database search process, aiming to significantly improve the quality of SMEP services. The development method used is Research and Development (R&D) with waterfall model development procedures. The Application was tested for functional suitability using media validity test sheets and obtaining a 100% validity percentage. Usability testing, using a questionnaire with 50 SMEP application users, resulted in an 89.67% validity persentage, thus qualifying as “Very Worthy” on the Likert scale. Based on testing results, it can be concluded that the Whatsapp chatbot for SMEP complaint services, which implements the sequential search algorithm, is highly effective and make positive contribution to improving the efficiency and effectiveness of SMEP services.

RANCANG BANGUN SISTEM PENGENDALI PH OTOMATIS PADA KOLAM BUDIDAYA IKAN NILA

Christio Revano Mege — 2024-10-08

Water quality is one of the important factors to increase the success of aquaculture production besides disease factors and fish seed quality. Water quality in auaculture ponds greatly affects the growth, survival, and production of tilapia. Several factors that affect water quality are the acidity level (pH). The maximum pH value ranges from 6.5 to 8.5. This study aims to design an automatic water pH control system in tilapia ponds. The water quality control system in fish ponds is often done manually so it is less efficient. The system is designed by combining a pH sensor pump, and solenoid valves using ESP32 microcontroller. When the pH sensor detects a pH value of less than 6.5 or more than 8.5, the system will automatically change the water. The test results in the pond showed that the system was able to respond with the respective rise time and settling time values, namely 1240s and 1380s. Based on these results, it can be concluded that the pH control system that was built can function according to the design.

PENINGKATAN KESTABILAN SISTEM ENERGI BEBASIS PLTB MELALUI CRITICAL CLEARING TIME YANG TERHUBUNG SMART GRID

Fitriani Fitriani — 2024-10-14

Wind Power Plants (PLTB) are a vital renewable energy source in the global transition towards clean energy. PLTB holds great potential for reducing reliance on fossil fuels and enhancing the stability of power systems. However, unpredictable wind power fluctuations can challenge system stability. To address this, smart systems like the Smart grid are needed. The Smart grid is an evolution of traditional power systems equipped with dynamic optimization techniques to improve real-time efficiency, reliability, and sustainability. Additionally, transient stability analysis is crucial for maintaining system stability during disturbances. One method used is the Critical Clearing Time (CCT) calculation, which determines the critical disconnection time from the onset of the disturbance until synchronization is lost. This study uses transient analysis simulations on the Sungguminasa – Maros power system, utilizing the Power System Analysis Toolbox (PSAT) under MATLAB. By integrating PLTB with the Smart Grid, it is expected that better coordination between power system components can be achieved, enhancing not only the system’s reliability and stability but also optimizing overall energy efficiency.

ANALISA PEMODELAN MICROGRID PLTH OFF-GRID DI DANAU SITU RAWABADUNG BERBASIS HOMER

Abi Nurhidayat — 2024-10-20

Penelitian ini bertujuan untuk mengevaluasi potensi energi terbarukan di Danau Rawa Badung, Jakarta Timur, sebagai pembangkit listrik off-grid yang mendukung program pembangkit mandiri. Sumber energi terbarukan yang dianalisis mencakup energi matahari, angin, mikrohidro, dan biomassa, yang kemudian diintegrasikan dalam sebuah sistem pembangkit listrik hibrida. Melalui simulasi menggunakan software HOMER, diperoleh hasil bahwa konfigurasi terbaik sistem ini mampu menghasilkan total produksi energi sebesar 321.436 kWh per tahun. Energi matahari menjadi sumber utama dengan kontribusi sebesar 241.480 kWh per tahun, diikuti oleh energi angin sebesar 66.053 kWh per tahun, mikrohidro sebesar 12.852 kWh per tahun, dan genset sebesar 1.151 kWh per tahun.Dari segi ekonomi, sistem ini dinilai layak dengan Net Present Cost (NPC) sebesar Rp 13,54 miliar, Levelized Cost of Energy (LCOE) sebesar Rp 5.884 per kWh, dan payback period selama 13 tahun. Dari sisi lingkungan, sistem hibrida ini mampu mengurangi emisi gas rumah kaca secara signifikan, dengan emisi karbon dioksida hanya sebesar 0,082 kg per tahun, dibandingkan dengan 920 kg per tahun pada sistem berbasis diesel. Dengan renewable fraction mencapai 100%, penelitian ini menunjukkan bahwa sistem pembangkit listrik hibrida di Danau Rawa Badung layak untuk diimplementasikan.

Kata Kunci: PLTH, Rawa Badung Lake, Environment, economy, Energy, HOMER

KLASIFIKASI BENIH JAGUNG UNGGUL MENGGUNAKAN METODE MACHINE LEARNING K-NEAREST NEIGHBORS

Madeleine Nizara Seyk — 2024-10-29

Classifying the quality of corn seeds by manual visual observation takes a long time. It also produces products with uneven quality due to visual limitations, fatigue, and differences in observer perception. This research aims to classify superior corn seeds using the machine learning method, namely K-Nearest Neighbors (K-NN). The research data uses 500 images of corn seeds consisting of 400 training images and 100 test images. Extraction of corn image features uses the Gray Level Co-occurrence Matrix (GLCM) method to obtain texture characteristics. The texture characteristic values of metric natural corn images concist of contrast, energy, homogeneity and correlation. Based on the image texture characteristic values, classification is carried out using the K-Nearest Neighbor (K-NN) method. The classification results consist of classes of viable and non-viable corn seeds. The performance evaluation metric method calculates accuracy, sensitivity and specificity using a confusion matrix. This research shows that the value of k=5 is the most optimal, and the accuracy, sensitivity and sensitivity values, respectively, are 75%, 77% and 72% found in the ninth fold

POWER TRANSFORMER DESIGN USING BIODEGRADABLE OIL STUDY FOR SUSTAINABILITY

Agus Indarto — 2024-10-31

To achieve net carbon zero in the electrical transmission and distribution industry, advancements in design, manufacturing, and materials are essential, particularly for power transformers. Traditional mineral oil, used for insulation and cooling, poses environmental challenges due to its non-biodegradability, low fire point, and lack of eco-friendliness. Alternative insulating fluids, both synthetic and natural esters, offer improved fire safety and environmental compatibility. Recent research has enhanced understanding of ester fluids' electrical, thermal, and chemical properties, yet adoption is hindered by limited research, unestablished testing methods, and experience. This study explores the design and manufacturing challenges of power transformers using ester insulating oil compared to those filled with mineral oil, focusing on weight, dimensions, cost, and the impact of smart monitoring systems on performance, longevity, maintenance, and reliability. The study also examines the influence of renewable energy and micro-grids on the design and manufacturing of ester oil-filled transformers. This comparison aims to guide both customers and manufacturers in evaluating the suitability of ester-filled transformers for specific applications, ultimately contributing to more informed decision-making and advancing the industry's sustainability goals.