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Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System
Published by Universitas Nusa Cendana
ISSN : 22526692     EISSN : 27154963     DOI : http://doi.org/10.35508/jme
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Jurnal Media Elektro adalah merupakan jurnal ilmiah yang menyajikan artikel yang bersifat original tentang pengetahuan dan informasi riset ataupun aplikasi riset dan pengembangannya. Jurnal ini merupakan sarana publikasi dan karya riset beserta pengembangannya di bidang teknologi. Untuk penulis yang berminat untuk Pemuatan artikel di jurnal ini, maka dapat dialamatkan ke email:media.elektro.undana@gmail.com. Artikel yang masuk akan diseleksi oleh editor. Jurnal ini terbit secara berkala sebanyak dua kali dalam setahun.
Arjuna Subject : -
Articles 213 Documents
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PENERAPAN ALGORITMA SEQUENTIAL SEARCH PADA CHATBOT WHATSAPP UNTUK LAYANAN PENGADUAN APLIKASI SMEP Rahmawati, Dwi; Setyawan, Mohammad Bhanu; Prasetyo, Angga
Jurnal Media Elektro Vol 13 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.18134

Abstract

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 Mege, Christio Revano; Louhenapessy, Stevy Canny; Khoirunisa, Vera; Putra, Septia Eka Marsha; Simanullang, Astuti BP
Jurnal Media Elektro Vol 13 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.18286

Abstract

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.
DESAIN TRAFO DAYA MENGGUNAKAN STUDI MINYAK BIODEGRADABLE UNTUK KEBERLANJUTAN Indarto, Agus; Bohra, Arunkumar; Wahyudi, Slamet; Dharmanto, Asep
Jurnal Media Elektro Vol 13 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.18316

Abstract

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.
ANALISA PEMODELAN MICROGRID PLTH OFF-GRID DI DANAU SITU RAWABADUNG BERBASIS HOMER Nurhidayat, Abi; Arief, Yanuar Zulardiansyah; Wilyanti, Sinka
Jurnal Media Elektro Vol 13 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.18583

Abstract

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
PENINGKATAN KESTABILAN SISTEM ENERGI BEBASIS PLTB MELALUI CRITICAL CLEARING TIME YANG TERHUBUNG SMART GRID Fitriani, Fitriani; Mantofani, Risal; Muhtar, Muhdalifah
Jurnal Media Elektro Vol 13 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.18802

Abstract

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.
KLASIFIKASI BENIH JAGUNG UNGGUL MENGGUNAKAN METODE MACHINE LEARNING K-NEAREST NEIGHBORS Seyk, Madeleine Nizara; Ina, Wenefrida Tulit; Djahi, Hendrik J.; Tena, Silvester
Jurnal Media Elektro Vol 13 No 2 (2024): Oktober 2024
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.19054

Abstract

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
Monitoring Systems for Counting People Based on Wireless Multimedia Sensor Network Rantelobo, Kalvein; Sampeallo, Agusthinus; Mandala, J. F.; Lami, H. F. J.; Bernandus, B.; Rantelinggi, P. H.; Sastra, N. P.
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v13i2.10214

Abstract

The visual sensor used in the Wireless Sensor Multimedia Networks (WSMN) in this work aims to monitor and calculate the number of people passing through a room. The contribution of this paper is the use of Raspberry Pi 3 devices that are connected to the internet using Internet-of-Thing (IoT) technology. The proposed scheme can be implemented in the actual environment. From the test results, the system has distinguished people entering and leaving the room by doing image processing using background subtraction, morphological transformation method, and calculating the contour area of the image. The results of image processing can calculate the number of people in the room, and the system can send it to the web server. Subsequently, this paper discussed the energy consumption used by the WSMN and explained test parameters.
Website-based Academic Performance Monitoring and Evaluation Information System at IAIN Palopo Rosdiana, Rosdiana; Arifanti, Dwi Risky; Kaimuddin, Kaimuddin; Mukramin, Mukramin
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.20533

Abstract

The State Islamic Institute of Religion (IAIN) Palopo uses Monitoring and Evaluation (Monev) to evaluate internal performance in all fields based on their respective work programs that have been formulated in Work Meetings. The Monev determined consists of two, namely Academic Monev and non-Academic Monev. The results of monitoring and evaluation are in the form of very valuable information for leaders or office holders to make improvements to all implementations of work programs that have been determined. The design of this website-based Monev information system is limited to academic Monev with the aim of being accessible anytime and anywhere, so that monitoring and checking by leadership can be carried out to measure the quality of the program that has been implemented. The academic monitoring and evaluation that has been designed is limited to PPL/PLP issues, Graduation activities and Implementation of Real Work Lectures (KKN). The implementation of this academic monitoring and evaluation information system makes it easier for clients to respond and respond to work programs that have been implemented so that they can become an evaluation reference for leadership.
PENERAPAN METODE FAILURE MODE AND EFFECT ANALYSIS (FMEA) DALAM ANALISIS RISIKO KEGAGALAN RADIO LOKOMOTIF DI DIVISI REGIONAL III PALEMBANG Rizal, Yus; Sunaryo, Sunaryo; Oktaria, Dhina Setyo; Prameswari, Galuh Anggun; Arifianto, Teguh
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.20723

Abstract

Locomotive radios serve as a crucial telecommunications system in railway operations. However, in Divisi Regional III Palembang, frequent malfunctions occur without systematic damage documentation, resulting in the absence of an optimal maintenance strategy. This study applies the Failure Mode and Effect Analysis (FMEA) method to identify failure characteristics, analyze their impact on each component, and determine the appropriate maintenance strategy. The analysis results indicate that from 2019 to 2022 a total of 20 communication failures occurred with the highest failure frequency observed in the Locomotive Transceiver Unit (LTU), which failed 14 times. The Mean Time Between Failure (MTBF) calculations reveal that the LTU has an average failure interval of 1,253 hours, while the Console has 1,297 hours, and the antenna reaches 8,064 hours. Risk analysis using FMEA shows that the console has the lowest risk level with a value of 18, the antenna has a moderate risk level with a value of 27, and the LTU has the highest risk level with a value of 36. Based on the identified maintenance strategy, the proposed solution includes implementing preventive maintenance and corrective maintenance to mitigate potential failures. A reliability test conducted over 1,000 hours yielded a reliability probability of 18.3%.
DIAGNOSTIC TOOL DETECTS GLUCOSE,CHOLESTTEROL,URIC ACID LEVELS AND BODY TEMPERATUR NON-INVASIVE DABUKKE, JOHANNES; Maha, Denny hasminta Sembiring
Jurnal Media Elektro Vol 14 No 1 (2025): April 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.20751

Abstract

Metode non-invasif telah merevolusi cara pengambilan sampel darah. Metode invasif, seperti menusukkan jarum pada jari, sering kali membuat pasien tidak nyaman. Misalnya, metode invasif digunakan untuk memeriksa kadar kolesterol, asam urat, dan gula darah, yang merupakan penyakit tidak menular. Proses ini memerlukan pengambilan darah dan pencatatan hasilnya pada kertas rekam medis. Kekurangan metode ini antara lain ketidaknyamanan bagi pasien yang memiliki jadwal padat dan fobia jarum. Oleh karena itu, penelitian ini menciptakan alat untuk mengukur gula darah, kolesterol, asam urat, dan suhu tubuh menggunakan internet of things (IoT) dengan platform Blynk. Dari tiga pengujian alat tersebut, nilai gula darah berkisar antara 76–79 mg, kolesterol antara 122–125 mg, dan asam urat antara 5–6 mg. Suhu tubuh tercatat antara 36–37 °C. Persentase kesalahan hasil pemeriksaan juga menunjukkan nilai kecil, di bawah 5%: gula darah antara 2,63–3,85%, kolesterol 1,64–2,44%, asam urat 1,79–4,20%, dan suhu tubuh 0,24–0,77%.

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