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Editor in Chief: Prof. Dr. Lie Jasa (UNUD) (Scopus ID: 55243413600) Advisory Editor: Prof. I. A. Giriantari, Ph.D.(UNUD-INDONESIA) (Scopus ID : 6507145301) Prof. Soumia Ziti (UM5 - MOROCCO) (Scopus ID: 55999104600) Prof. Linawati, Ph.D.(UNUD-INDONESIA) (Scopus ID: 52763653600) Dr. Saad El Jaouhari (ISEP-FRANCE) (Scoopus ID:57193866922) Dr. Kamal Singh (TELECOM ST-ETIENNE-FRANCE) (Scopus ID: 55450545400) Dr. Ingrid Nurtanio (UNHAS-INDONESIA) (Scopus ID: 55746722900) Dr. Made Ginarsa (UNRAM-INDONESIA) (Scopus ID: 35795378400) Prof. Dr. Iwan setiawan (UNDIP-INDONESIA) (Scopus ID : 56711777600) Yoga Divayana, Ph.D.(UNUD-INDONESIA) (Scopus ID: 8979718500)
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Majalah Ilmiah Teknologi Elektro
Published by Universitas Udayana
ISSN : 16932951     EISSN : 25032372     DOI : https://doi.org/10.24843/MITE
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy
Majalah Ilmiah Teknologi Elektro (MITE) is peer review journal, published twice a year by the Study Program of Magister Electrical Engineering, Faculty of Engineering, Universitas Udayana. This journal discusses the scientific works containing results of research in the field of electrical, include power systems, telecommunications, informatics, and electronics. Authors are expected to include original scientific papers in accordance with the scope of the discussion of this journal including all aspects of the theory and practice are used.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 31 Documents
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Analisis Keandalan Sistem Distribusi 20 kV Menggunakan Metode Failure Mode and Effect Analysis (FMEA) pada Penyulang MKN02 dan MKN12 UP3 Surakarta Fitri Puspasari; Kristina Wulandari
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p05

Abstract

The reliability of electric power distribution systems is a critical factor in ensuring service continuity to customers. A reliable distribution system is capable of minimizing both the frequency and duration of interruptions, thereby maintaining the quality of electricity delivery. The MKN02 and MKN12 feeders at Mangkunegara Substation, UP3 Surakarta, are part of a 20 kV distribution network that serves a relatively large load, making them susceptible to disturbances that may affect the quality and continuity of power supply. This study aims to analyze the reliability level of the 20 kV distribution system on the MKN02 and MKN12 feeders using the Failure Mode and Effect Analysis (FMEA) method. FMEA is employed to identify potential failure modes in distribution system components and to evaluate their impacts on system performance and reliability. Failure analysis is conducted by calculating component failure rates based on reliability standards, namely SPLN No. 59 of 1985 and IEEE Std 1366. The research methodology includes a literature review, collection of technical network data, identification of components and failure modes through FMEA tables, and calculation of reliability indices, including SAIDI, SAIFI, CAIDI, ASAI, and ASUI. The results of this study are expected to provide an overview of the reliability level of the analyzed feeders and serve as a basis for improving the reliability of the 20 kV distribution network at Mangkunegara Substation.
Studi Susut Daya dan Tegangan pada Penyulang Rijali Kota Ambon Vicky Salamena; Soleman Sesa; Pelpinus Sinay
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p06

Abstract

Sistem distribusi tenaga listrik memegang peranan penting dalam menjaga kualitas penyaluran energi listrik kepada konsumen. Salah satu parameter utama yang menentukan kualitas sistem distribusi adalah besarnya rugi daya dan susut tegangan pada jaringan distribusi primer. Penelitian ini bertujuan untuk menganalisis rugi daya, rugi tegangan, serta  Metode penelitian menggunakan pendekatan analisis perhitungan teoritis berbasis parameter impedansi saluran, meliputi tahanan, reaktansi, panjang penghantar, arus beban, dan faktor daya pada setiap segmen penyulang. Penelitian ini juga mengevaluasi profil tegangan jaringan dan tingkat efisiensi penyaluran berdasarkan standar SPLN 72:1987. Data penelitian diperoleh dari dokumentasi teknis dan data operasi PLN UP3 Ambon.     Hasil penelitian menunjukkan bahwa total rugi daya semu pada penyulang OG_RIJALI sebesar 91,35 kVA, rugi daya aktif sebesar 50,01 kW, dan rugi daya reaktif sebesar 76,44 kVAr dengan total daya tersalur sebesar 8.112 kVA. Persentase rugi daya aktif terhadap total daya hanya sebesar 0,77%, sedangkan rugi daya semu sebesar 1,13% dan rugi daya reaktif sebesar 1,57%, yang masih berada di bawah batas rugi teknis jaringan distribusi menurut standar SPLN. Penurunan tegangan terbesar terjadi pada segmen awal penyulang akibat arus beban yang tinggi, namun profil tegangan seluruh bus masih berada pada batas toleransi ±5% dari tegangan nominal 20 kV.     Penelitian ini memberikan kontribusi berupa evaluasi efisiensi distribusi berbasis profil rugi daya aktual pada jaringan distribusi Kota Ambon serta rekomendasi teknis untuk peningkatan efisiensi jaringan melalui optimalisasi penampang konduktor, penyeimbangan beban antar fasa, dan kompensasi daya reaktif [20].    
CASCARA (Clean Aquatic Surface Collector And Robotic Assistant) dengan Pemanfaatan Panel Surya dan Sistem Kendali Jarak Jauh Dilengkapi dengan Conveyor Mawarita Salsabila; Muhammad Sanda Prayoga; Rifki Hadi Purnama; Mochammad Wirangga Syahputra; Albert Gifson Hutajulu
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p07

Abstract

Floating inorganic waste in surface waters such as rivers, lakes, and reservoirs remains a challenging environmental problem. This study aims to design and evaluate CASCARA (Clean Aquatic Surface Collector and Robot Asistant) as a surface waste collection boat  utilizing solar panels and a remote control system. The research method includes a literature review, boat design and fabrication, system integration, and operational testing. The boat is equipped with a conveyor for waste collection, a load cell sensor to monitor waste load, a TDS sensor to observe water quality, and a remote control system for operation. Testing was conducted in calm lake conditions and reservoir areas with low water flow. The results show that the boat can accommodate waste loads up to 20 kg, while the load cell sensor achieved an average error of 0.59% with R² = 0.9998, the TDS sensor produced stable readings with an average of 317.4 ppm, and the LiFePO₄ battery system operated for 138 minutes with 94.3% efficiency. Furthermore, the boat achieved a stable RF control range of 82 m, maximum range of 105 m, travel distance of approximately 5.1 km per charging cycle, and real-time IoT monitoring accuracy of 99.4%, indicating that CASCARA can operate effectively and sustainably for low-flow aquatic waste cleaning applications.
Respon Gelombang Beta pada Kanal T3 dan T4 EEG terhadap Visualisasi Kemasan Produk dalam Neuromarketing Jauzaa Maylia Suhendro; Ni Wayan Nanik Suaryani Taro Putri; I Gede Putu Krisna Juliharta; Ni Putu Noviyanti Kusuma
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p08

Abstract

Abstract— Conventional marketing research often suffers from bias. While neuromarketing offers a solution using Electroencephalography (EEG), existing studies typically evaluate product packaging as a holistic stimulus and have not yet unraveled the neural processes behind each design element. This study aims to analyze the functional asymmetry of the temporal lobes (channels T3 and T4) and the involvement of Beta waves 12–30 Hz when consumers evaluate packaging. Using an Ultracortex Mark IV headset, brain activity from 25 participants was recorded while viewing packaging images categorized as "attractive" or "unattractive," which were validated through an initial questionnaire of 60 respondents. Data were extracted using the Python-based Power Spectral Density (PSD) method. The quantitative results showed that attractive packaging consistently triggered the highest surge in average Beta-band PSD across both channels. A clear functional asymmetry emerged through the dominance of the T4 channel (Right Temporal), which reached 0.251 μV2/Hz as the right brain processes non-verbal information, aesthetics, colors, logos, and graphic layouts. Concurrently, the T3 channel (Left Temporal) was active at 0.201 μV2/Hz to support logical-verbal processing when digesting textual product information. The output of this study proves that attractive packaging increases the reconstruction of spatial visualization in the consumer's mind through a recurrent feedback mechanism before a decision is made.
Penerapan Metode Simple Additive Weighting (SAW) untuk Mendukung Pengambilan Keputusan Pemberian Kredit kepada Nasabah Adi Panca Saputra Iskandar; Anak Agung Gede Oka Kessawa Adnyana; Lely Meilina
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p09

Abstract

CodeArtisan Auto Finance is a rural savings and loan institution whose creditworthiness assessment process is still performed manually through document verification, field surveys, and subjective evaluation. This process requires one to five days and increases the risk of human error. This study applies the Simple Additive Weighting (SAW) method within a Decision Support System (DSS) to improve the speed and accuracy of credit decision-making. The proposed system evaluates prospective customers based on ten criteria: collateral, loan term, domicile status, employment status, social obligations, relationship with savings products, loan amount, expenditure-to-income ratio, planned installment-to-income ratio, and credit history. Evaluation on 37 historical customer records achieved an accuracy of 81.08%, precision of 90.32%, and recall of 87.50%, demonstrating that the SAW method provides objective and consistent creditworthiness recommendations. Therefore, the implementation of the SAW method can support faster, more transparent, and reliable credit decision-making at CodeArtisan Auto Finance.
Rancang Bangun Purwarupa Alat Pengering Rumput Laut Berbasis IOT Dengan Sistem Energi Hybrid PLTS Dan PLN Untuk Petani Rumput Laut Di Pantai Geger, Nusa Dua, Bali Ve Mas Danuarta; Imam Anshari; I Putu Bagus Putra Pratama; Cokorde Gede Indra Partha; Lie Jasa
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p10

Abstract

Seaweed (Eucheuma cottonii) is one of Indonesia’s leading aquaculture commodities with high economic value. However, the post-harvest drying process still relies on conventional sun-drying methods, making production highly dependent on weather conditions and requiring a long drying duration. This study aims to design and develop a prototype seaweed dryer based on the Internet of Things (IoT) integrated with a hybrid energy system combining Solar Power Plants (PV) and the utility grid (PLN). The system utilizes an ESP32 microcontroller, DHT22 sensor, soil moisture sensor, and Automatic Transfer Switch (ATS) to ensure continuous operation. Monitoring data are displayed through Blynk, LCD, and Google Spreadsheet in real time. The prototype has a maximum capacity of 250 grams of wet seaweed. Experimental results show that the drying chamber temperature can be maintained within the range of 58–59°C while reducing air humidity from 45% to 30%. The drying process successfully reduced the seaweed weight from 250 grams to approximately 41 grams within 4 hours until reaching the target moisture content of 35%. The hybrid energy system employing a 120 Wp solar panel and a 100 Ah battery provided stable power supply during operation. The proposed system offers an effective solution to improve drying efficiency, maintain product quality, and reduce dependence on weather conditions for coastal seaweed farmers.
Model Validasi Lokasi Multi-Lapisan Berbasis QR Code dan Geotagging pada Sistem Perjalanan Dinas Mobile Setiya Purnawan; Gede Sukadarmika; Ngurah Indra ER
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p12

Abstract

This study proposes a multi-layer location validation model based on QR Code and geotagging for mobile-based official travel systems to address the limitations of single-parameter validation approaches that are vulnerable to location manipulation. The proposed model integrates spatial validation through geotagging, temporal validation through timestamp recording, device integrity validation through mock location detection, and final-state validation using QR Code as a data encapsulation mechanism. The system was implemented in the ePerjadin mobile application within the BMKG environment and evaluated using functional suitability, security, and performance efficiency testing. The results show that all functional components operated successfully with a 100% success rate, while the system effectively detected location spoofing attempts through mock location validation. Performance evaluation indicates that the average GPS acquisition time was 4.03 seconds, QR Code generation required 2.39 seconds, and QR scanning was completed in 0.11 seconds. These findings demonstrate that the proposed multi-layer validation model can improve the reliability, security, and accountability of mobile-based official travel verification without introducing significant performance overhead, making it suitable for high-mobility operational environments.
Implementasi Fuzzy PID untuk Pengendalian Sudut Pitch pada Pesawat Tanpa Awak Try Susanto; Jihad Caesar Pratama
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p11

Abstract

Kestabilan sikap terbang (attitude control) pada pesawat tanpa awak (Unmanned Aerial Vehicle/UAV), khususnya pada sumbu pitch, merupakan aspek penting yang menentukan keberhasilan sistem penerbangan. Pengendali Proportional Integral Derivative (PID) konvensional dengan parameter tetap memiliki keterbatasan dalam menghadapi karakteristik sistem yang bersifat nonlinier dan gangguan eksternal, sehingga berpotensi menghasilkan respons yang lambat, overshoot, dan osilasi. Penelitian ini bertujuan mengimplementasikan pengendali Fuzzy PID berbasis inferensi Mamdani untuk melakukan penalaan (auto-tuning) parameter , , dan  secara adaptif pada sistem kendali sudut pitch pesawat tanpa awak tipe FT-Explorer. Sistem diimplementasikan menggunakan mikrokontroler Teensy 3.5 dengan masukan berupa error dan delta error, serta menggunakan basis aturan (rule base) sebanyak 49 aturan (7x7) dan metode weighted average pada proses defuzzifikasi. Evaluasi dilakukan melalui pengujian terbang dan dibandingkan dengan pengendali PID konvensional berdasarkan parameter overshoot, rise time, settling time, dan steady-state error. Hasil pengujian menunjukkan bahwa pengendali Fuzzy PID menghasilkan rise time sebesar 0,8 detik, overshoot sebesar 3,14°, settling time sebesar 3,3 detik, dan steady-state error sebesar 0,24°, lebih baik dibandingkan PID konvensional yang menghasilkan rise time 2,5 detik, overshoot 5,19°, settling time 7,7 detik, dan steady-state error −0,90°. Hasil tersebut menunjukkan bahwa Fuzzy PID mampu meningkatkan kecepatan respons, kestabilan, dan kemampuan adaptasi sistem sehingga lebih efektif diterapkan pada pengendalian sudut pitch pesawat tanpa awak. .
Pemanfaatan Local Large Language Model dalam Software Effort Estimation Menggunakan Metode LOOCV Diyan Sueka Buana Putra; Dewa Made Wiharta; Widyadi Setiawan; Ida Bagus Gede Manuaba
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p13

Abstract

 Software Effort Estimation (SEE) in the early stages of a project is generally confronted with minimal technical specifications and high ambiguity in requirement documents. Large Language Models (LLMs) offer the potential to automate information extraction from unstructured natural language text. This exploratory study evaluates the standalone performance of a local LLM (Phi-3 Mini architecture) in predicting man-days effort using a within-company historical dataset from a local digital agency. The experiment was conducted using the Leave-One-Out Cross-Validation (LOOCV) method to ensure objective evaluation within a limited data population. Model optimization utilized Chain-of-Thought (CoT) prompt engineering combined with a methodological strategy of few-shot selection based on boundary distribution (Min, Median, Max) to serve as cognitive anchors. Qualitative analysis proves that the LLM possesses high semantic intelligence in evaluating relative project complexity. However, quantitative evaluation using MMRE, PRED(25), and Coefficient of Determination (R-squared) indicates fundamental limitations in standalone mathematical regression. The model achieved an MMRE of 0.6963 and a PRED(25) of 0.25, performing below the Mean Baseline (MMRE 0.44) with a negative R-squared of -2.038. These results confirm that while LLMs are proficient in understanding context, they struggle with precise numerical interpolation. Consequently, this study recommends a hybrid estimation framework for future research, positioning the LLM purely as a qualitative feature extractor for conventional Machine Learning algorithms to produce robust and precise estimation accuracy.
Rancang Bangun Prototipe Sistem Pengusir Burung Cerdas (Smart Bird Deterrent) di Area Airside Bandara Internasional I Gusti Ngurah Rai, Kabupaten Badung, Bali I Kadek Rika; Lie Jasa
Majalah Ilmiah Teknologi Elektro Vol 25 No 1 (2026): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Study Program of Magister Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2026.v25.01.p14

Abstract

Bird strike incidents in airport airside areas pose a high-risk safety threat. Current conventional mitigation efforts rely on open-loop acoustic alarm devices that operate continuously for 24 hours. This method causes massive electrical energy waste and triggers habituation phenomena in target wildlife. This research aims to design a smart bird deterrent system prototype based on artificial intelligence utilizing a closed-loop control architecture. The methodology integrates the YOLOv8 Nano computer vision algorithm as a visual feedback sensor unit, deployed on low-end Edge AI computing (Intel Celeron N3350). To prevent CPU computational bottlenecks, the model is optimized into an Intermediate Representation format using Intel OpenVINO. The audio actuator trigger signal is strictly executed only when the bird detection accuracy exceeds a 0.5 confidence threshold. Test results indicate that the algorithm dynamically responds to wildlife presence, precisely halting audio emissions when the area is clear, effectively solving the habituation problem. The OpenVINO framework optimization successfully accelerated the image processing computational rate from 0.80 FPS to a stable 1.30 FPS. The system proved reliable with a 0.77-second response latency, offering an innovative control engineering output for energy efficiency in aviation facilities.

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