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Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Published by Universitas Gadjah Mada
ISSN : 23014156     EISSN : 24605719     DOI : 10.22146/jnteti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, Power Distribution, Power Conversion, Protection Systems, Electrical Material 3. Signals, Systems, and Electronics: Digital Signal Processing Algorithm, Robotic Systems and Image Processing, Biomedical Instrumentation, Microelectronics, Instrumentation and Control 4. Communication Systems: Management and Protocol Network, Telecommunication Systems, Wireless Communications, Optoelectronics, Fuzzy Sensor and Network
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 644 Documents
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Eksplorasi Emosi dan Pengalaman Belajar Siswa dalam Platform E-Learning Fitra Abdurrachman Bachtiar; Riza Setiawan Soetedjo; Joseph Ananda Sugihdarma; Retno Indah Rokhmawati; Lailil Muflikhah
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 4: November 2024
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v13i4.10808

Abstract

Previous studies have shown that emotion is crucial in student learning. However, most studies in the e-learning environment have yet to consider emotion as part of learning that could lead to successful learning. Thus, this study explored the relationship between student emotion state, emotion sequences, and student learning experience. A preliminary data collection was conducted to explore the relationship between emotional experience and student learning experience, which involved 16 students. Students were asked to learn a programming subject in an e-learning environment. E-learning is designed to store the students' emotional experience and activity during learning. The sequential pattern mining technique was used to extract the data, exploratory data analysis was conducted to visualize the emotional trajectory during the learning process, and regression analysis was used to explain the relationship between students' emotional learning experiences. The results showed that emotional experience might affect student experience in learning. In one-sequence emotion, all emotion states contributed to the learning experience with p-values < 0.01 except for neutral and disgust with p-values < 0.05. The one-sequence emotion model shows R-squared = 0.585; Adj. R-squared = 0.734; F-statistic = 6.920; Prob (F-statistic) = 0.00702. Meanwhile, in two-sequence emotion, none of the emotion sequences contributed to the student learning experience. Lastly, three-sequence emotion models also showed that most sequences did not influence student learning experience. The only sequence of emotions that influenced the student learning experience was surprise-neutral-surprise. These results suggest that emotion should be considered in learning design as it can influence student experience.
Analisis Keandalan Sistem Distribusi Tenaga Listrik 20 kV pada Penyulang CWRU Tasma Sucita; Maman Somantri; Diki Fahrizal; Mia Agista
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 4: November 2024
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v13i4.12510

Abstract

The electricity demand continues to rise alongside population growth, making the reliable distribution of electrical energy to consumers essential. The reliability of the 20 kV electricity distribution system on the CWRU feeder at the National Electricity Company (Perusahaan Listrik Negara, PT PLN) Customer Service Unit (Unit Layanan Pelanggan, ULP) Pelabuhan Ratu Area Surade was evaluated. The primary purpose was to analyze key reliability indices such as system average interruption frequency index (SAIFI), system average interruption duration index (SAIDI), customer average interruption duration index (CAIDI), average service availability index (ASAI), and average service unavailability index (ASUI), and to assess the economic impact of disruptions on consumers. Methodologies involved collecting and analyzing field data from PT PLN (Persero) ULP Pelabuhan Ratu’s CWRU feeder, utilizing quantitative reliability calculations and qualitative observations to identify internal and external factors affecting system reliability. The results showed that the SAIFI value reached 52.077 times/customer/year, and the SAIDI value was 99.400 hours/customer/year, classifying the system as unreliable based on PLN standards (standar PLN, SPLN) 68-2:1986. However, the CAIDI value of 1.813 hours/times/year indicated that the system response time was within acceptable limits. The availability of electricity, with an ASAI of 99.828% and an ASUI of 0.172%, was deemed satisfactory. Internal factors contributed to 10.47% disturbances. In contrast, external factors (weather and tree fall) accounted for 48.84%, and the remaining 40.69% were from unknown causes. Economic losses were calculated at Rp52,432.50/customer because these interruptions. More frequent maintenance and the implementation of additional protective measures are recommended to enhance reliability.
Regulasi Tegangan Arus Searah Turbin Angin dan Baterai untuk Microgrid Sidiq Budi Perkasa; Mochammad Facta; Iwan Setiawan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 4: November 2024
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v13i4.12648

Abstract

Renewable energy will eventually replace fossil energy. Direct current (dc) microgrids can operate independently without being connected to the utility grid. The configuration of a dc microgrid system may encompass wind turbines, permanent magnet synchronous generators (PMSG), rectifiers, dc-dc boost converters, bidirectional dc-dc converters, batteries, and maximum power point tracking (MPPT). Systems with complex components have the problem of maintaining a stable dc voltage amid a load or wind speed change. This paper focuses on improving the performance of dc microgrids by adding voltage control to satisfy the load demand and maintain a constant dc voltage stability. Tests were conducted under three conditions. In the first condition, the wind turbine may supply the load and battery; in the second condition, the wind turbine and battery supply the load; and in the third condition, the battery fully supplies the load. The test results showed that the performance of the designed system could satisfy the load demand and charge the battery. When the wind turbine generators were unable to satisfy the load demand, the battery and wind turbine could supply the load. The system could maintain a voltage on the dc bus of 400 V, with a deviation of only 1%. According to the IEC 61000-14-17, this value remains within the acceptable load tolerance limit.
Pengoptimalan Efisiensi Panel Surya: Integrasi Pelacakan dan Reflektor Sumbu Ganda Tenaga Surya Alvin Rinaldi Wiharja; Levin Halim; Faisal Wahab
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 4: November 2024
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v13i4.12765

Abstract

Solar panels have relatively low efficiency, but their performance can be enhanced by a tracking system directing the panels perpendicular to the light source and adding reflectors to capture more sunlight. The dual-axis solar tracking method, using two linear actuators and optimized by fuzzy logic, efficiently positions solar panels for maximum sunlight exposure. This research aimed to improve the overall efficiency of solar panels by integrating reflectors with a dual-axis solar tracking system optimized by fuzzy logic. Specifically, this research tested various reflectors to determine the most significant efficiency improvement. This research consisted of two tests: a tracking test and a reflector test using a halogen lamp. The tracking test was conducted by positioning the light in four different positions. The light sensor data were obtained before and after the solar tracking, indicating that the tracking was successful. All these tests were conducted with the light source radiation of 1,168 W/m2. This research concluded that the tracking system effectively positioned the solar panels toward the light source, with the tracking time ranging from 12 to 16 s, depending on the position. Aluminum foil is the most cost-effective reflector, priced at IDR5,341 per 1% increase in efficiency, compared to mirrors at IDR20,204 per 1% and reflective tape at IDR48,034 per 1%. In conclusion, the integration of aluminum foil reflectors and a dual-axis solar tracking system, optimized by fuzzy logic, significantly improves the efficiency of solar panels, which is both cost-effective and efficient.
Perbandingan Keamanan Transaksi Seluler Menggunakan NFC dan Kode QR Lucia Nugraheni Harnaningrum; Kristoforus Nanda Mahardhian
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 4: November 2024
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v13i4.12867

Abstract

Mobile device transactions have become commonplace today. Quick-response (QR) codes and near-field communication (NFC) are popular cashless and contactless payment methods. These two payments have their characteristics. NFC payments use secure elements that encrypt credential data to ensure safe transactions. In contrast, QR code payments transmit data in its original form without encryption. Existing data are sent between devices in the form of original data. Given the extensive adoption of these methods, it is imperative to secure transaction data to prevent theft and misuse. It is necessary to know and compare the security level of each transaction and provide the best recommendations. This study undertook a comparative analysis of the security and performance of NFC and QR code-based mobile payment models. The study found that NFC transactions required 1,074 ms for encryption, while QR code transactions took 5.9359 ms. The entropy value, indicating data randomness, was 3.96 for NFC and 3.23 for QR codes. The P value, representing statistical significance, was 0.45 for NFC and 0.069 for QR codes. Both payment methods demonstrated acceptable levels of safety, with processing times and data randomness within satisfactory ranges. However, the analysis concludes that NFC transactions offer superior performance in terms of processing time and data security compared to QR code transactions.
MULTI-WD: Alat Kelengkapan Multibahasa untuk Data Wikidata Mohammad Yani; Lilyan Arhatia Agustine; Iryanto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 4: November 2024
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v13i4.13289

Abstract

Wikidata, a rapidly expanding knowledge graph (KG), owes its growth to two primary factors. First, Wikidata allows open access and editing by anyone. Second, it offers a multilingual feature that enables data entities to be accessed in various languages worldwide. However, the issue of incomplete information across multiple languages remains a significant challenge. For instance, the description of the entity “bada reuteuk” (ID: Q100606305) is currently available only in Indonesian as “a traditional food in Indonesia,” but it lacks descriptions in other languages. Consequently, these data are not accessible or recognizable in languages other than Indonesian. The system incorporates two primary features: language profiling and data translation. Language profiling, implemented using SPARQL queries via the Wikidata API, provides an overview of the multilingual status of Wikidata entities. For data translation, the system utilized the Translated Labs library, chosen for its open access, cost-free availability, and high-quality translation outputs. The translated results are subsequently saved into Wikidata. System evaluation involved five respondents from the Wikidata community, using a black-box testing approach. Results demonstrated that MULTI-WD’s core functionalities—including category selection, data statistics display, translation, and data updates—achieved 100% operational success. Furthermore, the tool enhanced data translation efficiency by up to 300% compared to manual translation directly through the Wikidata interface.
Klasifikasi Emosi pada Teks Berbahasa Inggris Menggunakan Pendekatan Ensemble Bagging Erfian Junianto; Mila Puspitasari; Salman Ilyas Zakaria; Toni Arifin; Ignatius Wiseto Prasetyo Agung
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 4: November 2024
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v13i4.14440

Abstract

This study highlights the importance of emotion classification in English text, particularly in human interaction on social media, which often involves unstructured data. Emotions play a crucial role in communication; a better understanding of these emotions can aid in analyzing user behavior. The main objective of this research is to enhance accuracy, recall, precision, and F1-score in emotion classification by applying an ensemble bagging approach, combining the naïve Bayes, logistic regression, and k-nearest neighbor (KNN) algorithms. The methodology used included data collection from various sources, followed by data cleaning and analysis using text mining and machine learning techniques. The collected data were then analyzed to detect emotions such as anger, happiness, sadness, surprise, shame, disgust, and fear. Performance evaluation was conducted by comparing the results of the ensemble bagging method with individual algorithms to measure its effectiveness. The findings reveal that the logistic regression method achieved the highest accuracy at 98.76%, followed by naïve Bayes and KNN. This ensemble method overcame the limitations of each individual algorithm, enhancing overall classification stability and reliability. These findings provide valuable insights into text-based emotion analysis techniques and demonstrate the potential of ensemble methods to improve classification accuracy. Future research directions can explore additional ensemble techniques and optimize model complexity for improved performance in emotion analysis across broader datasets.
Rancang Bangun Sistem Hidroponik Otomatis Berbasis Internet of Things Isyara Khairani; Kiki Prawiroredjo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 1: Februari 2025
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i1.13032

Abstract

The increase in food needs, including vegetables and fruits, corresponds with population growth. However, agricultural land is increasingly declining due to land conversion. This decline can threaten national food security. Utilizing hydroponic systems for plant cultivation is one of the efforts to adapt to land reduction, land degradations, and adverse impacts of global climate change. Unfortunately, hydroponic cultivation requires constant monitoring of plant nutrition. This research aimed to create an automatic hydroponic system that controlled the process of regulating nutrients to save growers time and energy. Through Internet of things (IoT) technology, automatic hydroponic cultivation can monitor plant life, temperature, humidity, water level in reservoirs, total dissolved solids (TDS), and pH of nutrient solutions. In addition, it can visually monitor plants through Android applications. The hydroponic system used for planting was the nutrient film technique, and the plant cultivated was lettuce. The system consisted of TDS sensors to measure TDS, analog pH sensors to measure the pH, the HC-SR04 ultrasonic sensors to measure the water level in the reservoir, DHT11 sensors, ESP32 microcontrollers, and ESP32-CAM to monitor plant growth remotely. Based on system testing results, the average of TDS increased from 600 ppm in the first week to 900 ppm in the fifth week, the average pH was 6.19, and the average water level in the reservoir was 20.89 cm. All test result parameters are at the designed values.
Tulisan Tangan Kursif Digital untuk Menentukan FMS Anak Sekolah Usia Dini Nurul Zainal Fanani; Ika Widiastuti; Khamid; Laszlo T. Koczy
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 1: Februari 2025
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i1.16406

Abstract

Assessing fine motor skills (FMS) in early school-age children is crucial for insights into their school readiness. In many countries, including Indonesia, teachers assess FMS by observing handwriting, often with the aid of an educational psychologist. However, this approach can be subjective and prone to observer bias. This study aimed to classify children’s FMS based on their cursive writing abilities using a digitizer to capture data. The system recorded data in real-time as children wrote in cursive, capturing the stylus’s relative position on the digitizer board (including x, y, and z positions), and pressure values, which served as features in the classification process. The study involved 40 1st and 2nd-grade students from various elementary schools. The data recording process generated substantial raw datasets. The random forest algorithm, renowned for its effectiveness in analyzing large datasets, was employed for classification. The results demonstrated this method’s efficacy in identifying FMS, achieving an accuracy rate of approximately 97.3%. This study concludes that integrating a digitizer with the random forest classification method provides a reliable and objective approach to assessing FMS in children, reducing observer bias, and ensuring precise results. In the long term, this approach can significantly enhance the accuracy of FMS assessments, enabling better-targeted interventions and support for children in need.
Mesin Pengisian Cairan Otomatis Menggunakan Arduino dan LabVIEW Syafriyadi Nor; Zaiyan Ahyadi
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 1: Februari 2025
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i1.7058

Abstract

The automatic liquid-filling machine plays a vital role in improving efficiency and productivity in modern manufacturing and packaging industries. However, challenges such as high costs, complexity, and limited technical knowledge often hinder its adoption. This research aimed to develop an educational system that is simple, affordable, and easy to implement, helping students grasp the fundamental principles and real-world applications of automatic liquid-filling machines. The system integrates LabVIEW for visual processing and an Arduino Nano microcontroller with the Modbus remote terminal unit (RTU) protocol to simulate industrial communication standards. LabVIEW controls the conveyor belt, filling, and capping processes using ladder logic while recording the number of filled bottles. The Arduino microcontroller manages conveyor belt operations and allows users to set volume and bottle count via a keypad. Serial communication between LabVIEW and Arduino through Modbus RTU provides hands-on experience in configuring industrial systems. Experimental tests under various operational scenarios confirmed the system’s accuracy in filling bottles within a volume range of 250–1,000 ml at a speed of 10 ml/s, handling up to five bottles per cycle. The system demonstrated stable operation without disruptions. This research enhances instrumentation and control system education by offering an interactive, cost-efficient learning tool. The successful use of Modbus RTU underscores its reliability in supporting automatic liquid-filling machines while enriching students’ understanding of industrial automation.

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