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Jambura Journal of Electrical and Electronics Engineering
Published by Universitas Negeri Gorontalo
ISSN : 26547813     EISSN : 27150887     DOI : 10.37905/jjeee
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Jambura Journal of Electrical and Electronics Engineering (JJEEE) is a peer-reviewed journal published by Electrical Engineering Department Faculty of Engineering, State University of Gorontalo. JJEEE provides open access to the principle that research published in this journal is freely available to the public to support the exchange of knowledge globally. JJEEE published two issue articles per year namely January and July. JJEEE provides a place for academics, researchers, and practitioners to publish scientific articles. Each text sent to the JJEEE editor is reviewed by peer review. Starting from Vol. 1 No. 1 (January 2019), all manuscripts sent to the JJEEE editor are accepted in Bahasa Indonesia or English. The scope of the articles listed in this journal relates to various topics, including: Control System, Optimization, Information System, Decision Support System, Computer Science, Artificial Intelligence, Power System, High Voltage, Informatics Engineering, Electronics, Renewable Energy. This journal is available in online and highly respects the ethics of publication and avoids all types of plagiarism.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 208 Documents
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Design and Implementation of Aquascaping Automation System Using Arduino Uno R3 Musa, Wahab; Abdussamad, Syahrir; Dako, Amirudin Yunus; Nasibu, Iskandar Zulkarnain; Tansa, Salmawaty; Ingopo, Renaldi Anwar
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.21583

Abstract

One of the arts in creating a beautiful natural environment in an aquarium is aquascaping. It requires good planning in the placement of water, rocks, plants and animals in the aquarium. In addition, it is necessary to control the acidity level (pH) of the water so that it is in a stable condition needed by the flora and fauna in the aquarium. In this research, automatic control is implemented using an Arduino Uno R3 for the pH sensor. This Arduino Uno R3 is used to control pH, temperature, and lighting. The ideal temperature in aquascaping is kept at 220C - 250 C by controlling it through a DC fan, and the pH of the water is controlled through a water pump. With this automatic control, aquarium owners can save on monitoring costs and time compared to manual methods.Salah satu seni dalam menciptakan lingkungan alam yang indah di dalam akuarium adalah aquascaping. Diperlukan perencanaan yang baik dalam penempatan air, bebatuan, tanaman dan hewan di dalam akuarium. Selain itu, perlu adanya pengontrolan tingkat keasaman (pH) air agar berada dalam kondisi stabil yang dibutuhkan oleh flora dan fauna di dalam akuarium. Pada penelitian ini, kontrol otomatis diimplementasikan dengan menggunakan Arduino Uno R3 untuk sensor pH. Arduino Uno R3 ini digunakan untuk mengontrol pH, suhu, dan pencahayaan. Suhu ideal pada aquascaping dijaga pada suhu 220C - 250 C dengan mengontrolnya melalui kipas DC, dan pH air dikontrol melalui pompa air. Dengan kontrol otomatis ini, pemilik akuarium dapat menghemat biaya dan waktu pemantauan dibandingkan dengan metode manual.
Application of the K-Medoids Clustering Algorithm to Determine the Nutritional Status of Toddlers Betrisandi, Betrisandi; Hasan, Maryam; Bahrin, Bahrin
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.27523

Abstract

Stunting is a chronic malnutrition problem due to a lack of nutritional intake in the body for a long time, as a result of which there is a growth disorder in children, namely the child's height becomes shorter or dwarfed than the standard age. The problem of malnutrition in toddler is a major concern in various countries. Based on the data from the Ministry of Health of the Republic of Indonesia in 2018, 30.8% of Indonesian toddlers were malnourished. Malnutrition in toddlers is very influential on physical and mental growth such as intellectual intelligence, speaking, walking, learning, immune system and low body immune system. The purpose of thisstudy is to classify the nutritional status of toddler into five cluster namely cluster 0 poor, cluster 1 undernourished, cluster 2 good nutrition, cluster 3 over nutrition and cluster 4 obesity by using the K-Medoids Algorithm method. K-Medoids Algorithmis one of the Algorithm used in data and mining. K-Medoids Algorithm is relatively fast and simple, making it easier to find Medoids in a group (cluster). Based on the data on toddlers there are 74 toddlers, the results of clustering are obtained from grouping, cluster 0 is 13 toddlers with bad nutrition, cluster 1 is undernutrition 15 toddlers, cluster 2 is good nutrition 21 toddlers, cluster 3 is over nutrition 23 toddlers and cluster 4 is obesity totaling 2 toddlers.Stunting merupakan masalah kurang gizi kronis karena kurangnya asupan gizi pada tubuh dalam waktu yang cukup lama akibatnya terjadi gangguan pertumbuhan pada anak-anak yakni tinggi badan anak menjadi lebih pendek atau kerdil dari standar usianya. Masalah kurang gizi padakelompok balita menjadi perhatian utama diberbagai negara. Berdasarkan data Kemenkes RI tahun 2018 sebanyak 30,8 % balita Indonesia mengalami gizi buruk. Gizi kurang pada balita sangat berpengaruh pada pertumbuhan fisik maupun mental seperti kecerdasan intelektual, berbicara, berjalan, belajar, daya tahan tubuh serta sistem imun tubuh rendah. Adapun tujuan dari penelitian ini adalah untuk mengelompokkan status gizi balita ke dalam 5 cluster yaitu cluster 0 gizi buruk, cluster 1 gizi kurang, cluster 2 gizi baik, cluster 3 gizi lebih dan cluster 4 obesitas dengan menggunakan metode Algoritma K-Medoids. Algoritma K-Medoids merupakan salah satu algoritma yang digunakan dalam data mining. Algoritma K-medoids relatif cepat dan sederhana sehingga memudahkan menemukan medoids dalam sebuah kelompok (cluster). Berdasarkan data balita yang ada sejumlah 74 balita maka didapatkan hasil clustering dari pengelompokkan dengan cluster 0 yaitu gizi Buruk berjumlah 13 balita, cluster 1 yaitu gizi kurang berjumlah 15 balita, cluster 2 yaitu gizi baik sejumlah 21 balita, cluster 3 yaitu gizi lebih berjumlah 23 balita dan cluster 4 obesitas berjumlah 2 balita. 
Development of Telecommunication System Learning Media with Digital-based ADDIE Method Saripudin, Saripudin; Bonok, Zainudin; Wiranto, Ifan; Abdussamad, Syahrir; Tansa, Salmawaty; Nasibu, Iskandar Zulkarnain
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.24188

Abstract

High demand and digital penetration in various aspects of human life has directly created a huge industry in technology. This is reflected in the impact of the widespread use of Information and Communication Technology (ICT) which allows for a more efficient way of providing education that makes it easier for educators, students, and students. The purpose of this research is to create a product on the development of learning media in telecommunications systems courses using the digital-based ADDIE method. This research is an RD (Research and Development) development research that uses the ADDIE model, which consists of five stages, namely 1.) Analyze; 2.) Design; 3.) Development; 4.) Implementation; and 5.) Evaluation. The learning media developed is a website that can be used for the Telecommunication System course at the Department of Electrical and Computer Engineering, Faculty of Engineering, Gorontalo State University. The results of this research are in the form of website-based learning media that can be used for the learning process of Telecommunication Systems courses and have been adjusted to the needs based on the needs analysis at the Department of Electrical and Computer Engineering, Faculty of Engineering, Gorontalo State University.  Permintaan yang tinggi dan penetrasi digital di berbagai aspek kehidupan manusia secara langsung telah menciptakan industri besar dibidang teknologi. Hal ini tercermin dari dampak meluasnya penggunaan Teknologi Informasi dan Komunikasi (TIK) yang memungkinkan terselenggaranya cara yang lebih efisien dalam memberikan edukasi Pendidikan yang memudahkan bagi para tenaga pendidik, siswa, dan mahasiswa. Tujuan penelitian ini adalah untuk membuat produk pada pengembangan media pembelajaran di mata kuliah sistem telekomunikasi dengan menggunakan metode ADDIE berbasis digital. Penelitian ini merupakan penelitian pengembangan RD (Research and Development) yang menggunakan model ADDIE, yang terdiri dari lima tahap yakni  1.) Analysis; 2.) Design; 3.) Development; 4.) Implementation; end 5.) Evaluation. Media pembelajaran yang dikembangkan merupakan sebuah website yang dapat digunakan untuk mata kuliah Sistem Telekomunikasi pada Jurusan Teknik Elektro dan Komputer Fakultas Teknik Universitas Negeri Gorontalo. Hasil penelitian ini berupa media pembelajaran berbasis website yang dapat digunakan untuk proses pembelajaran mata kuliah Sistem Telekomunikasi dan telah di sesuaikan dengan kebutuhan berdasarkan analisis kebutuhan pada Jurusan Teknik Elektro dan Komputer Fakultas Teknik Universitas Negeri Gorontalo.
Utilization of Coconut Shell Charcoal for Grounding Resistance Reduction Using Plate Electrodes Moha, Yusran; Yusuf, Taufiq Ismail; Tolago, Ade Irawaty
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.29165

Abstract

The grounding system is an essential component of electrical protection systems, requiring low resistance values to ensure the safety of equipment and personnel. The grounding resistance is influenced by several factors, including soil type, soil moisture, temperature, as well as the structure and characteristics of the soil at the installation site. One method that can be applied to reduce grounding resistance is the use of additional materials such as coconut shell charcoal. This study aims to analyze the effect of adding coconut shell charcoal on grounding resistance using square plate electrodes. The testing was conducted over a period of 15 days with variations in electrode size, namely 40 cm and 60 cm, installed at a depth of 80 cm. The results indicate that the addition of coconut shell charcoal significantly reduces grounding resistance. The resistance value decreased from 43.4 Ω to 10 Ω when using a 40 cm electrode and from 21.5 Ω to 7.6 Ω when using a 60 cm electrode on the 15th day. The percentage reduction in resistance reached 77%. Furthermore, the use of larger electrodes resulted in lower resistance values. These results demonstrate that coconut shell charcoal is effective in improving the performance of grounding systems.
Comparative Analysis and Optimization of GIS-Based Rooftop Solar Power Plants Hidayat, Ikhsan; Salim, Sardi; Tolago, Ade Irawaty; Mohamad, Yasin; Bonok, Zainudin
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.34333

Abstract

The increasing demand for electricity and the global commitment to carbon reduction have encouraged higher education institutions to integrate renewable energy into campus infrastructures. However, most previous rooftop PV studies at Universitas Negeri Gorontalo (UNG) have been limited to single-building assessments or have not fully integrated spatial analysis with technical simulation. This study addresses this research gap by conducting a comparative analysis and system optimization of a rooftop photovoltaic (PV) installation at the Faculty of Engineering building using a combined Geographic Information System (GIS) approach and detailed technical simulation through HelioScope. The optimized design yields a total capacity of 368.79 kWp comprising 647 Canadian Solar 570W modules. Simulation results indicate an annual energy output of 486.5 MWh with a Performance Ratio (PR) of 95.8%, where PR represents the ratio of actual system performance to ideal irradiance conditions, and a solar access value of 99.2%. The economic assessment shows a payback period of 11.04 years under an export tariff of IDR 1,440/kWh. Furthermore, a comparative evaluation with two previous studies demonstrates significant improvements in both technical and economic aspects due to the integrated GIS and high-resolution simulation approach. The findings provide a valuable reference for advancing renewable energy implementation in educational institutions, particularly in designing efficient and sustainable rooftop PV systems.
Distribution Route Optimization Using the Nearest Neighbor Method and the Tabu Search Algorithm at PT. XYZ lasau, syakri; Lahay, Idham Halid; Dako, Rahmat Deddy Riyanto; Giu, Jamal Darusalam; Dako, Amirudin Yunus; Abdussamad, Syahrir
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.31823

Abstract

PT. Sinar Kristal Nusantara currently only relies on driver experience in determining distribution routes without special studies, which causes delays in the delivery of crystal ice products due to irregular distribution flow. This study aims to determine the optimal distribution route with the shortest distance to make deliveries more efficient and timely. The methods used are Nearest Neighbor and Tabu Search algorithm. The process starts by classifying the initial route using Saving Matrix, then determining the optimal route through Nearest Neighbor and Tabu Search. The results showed that this method resulted in a total mileage of 31.05 km with a travel time of 37.26 minutes, more efficient than the current route which reached 63.90 km with a time of 75 minutes. Tabu Search proved to be a superior optimization method because it produced a shorter route than using Nearest Neighbor alone. In conclusion, the combination of Nearest Neighbor and Tabu Search can improve the efficiency of crystal ice distribution at PT. Sinar Kristal Nusantara.
Integrated Farming System Prototype to Promote Agricultural Modernization and IoT-Based Land Utilization Usman, Iqbal Faturachman; Syamsir, Syamsir; Hulukati, Stephan A.
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.35168

Abstract

 This study designs and evaluates an Internet of Things (IoT)–based integrated farming prototype to address limited land availability and improve water-use efficiency at a small scale. The system employs an ESP32-S3 microcontroller integrated with soil moisture (SEN0308), water temperature (DS18B20), air temperature–humidity (DHT11), pH, TDS, and a YF-B1 flowmeter sensors. Measurements are acquired periodically and transmitted in real time to Google Sheets via a Google Apps Script Web App for logging and dashboard visualization. Irrigation control is implemented using a hysteresis strategy: the solenoid valve is activated (ON) when soil moisture falls below 50% and deactivated (OFF) when it exceeds 55%, with an additional flow-duration limit to prevent rapid ON–OFF cycling. An 8-day experiment shows stable system operation. The average water temperature was 29.01°C (range 22.34–35.94°C), air humidity reached 73.52%, and soil moisture averaged 52.47%; pH was 6.35 (4.13–7.00), TDS was 664 ppm (583–760 ppm), and the flow rate was 0.36 L/min with a total distributed volume of approximately 4,190 L. The system consistently turns the solenoid ON when soil moisture is below the ON threshold (50%) and turns it OFF when it exceeds the OFF threshold (55%), thereby maintaining soil moisture within the intended operating range. Compared with manual irrigation over the same testing period (6,588.08 L), the proposed system reduced water consumption by 36.4% (to 4,190.00 L). The main contribution of this work is the application of a simple hysteresis logic that is proven stable and efficient for drip irrigation in a small-scale integrated farming system. These findings confirm that IoT technology can modernize integrated farming on limited land while supporting circular agriculture and food resilience through data-driven monitoring and automated decision-making.
Comparison of NBC and KNN in Classifying Stunting in Children in Rural Areas Betrisandi, Betrisandi; Thaib, Rahmat
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.34488

Abstract

Stunting is one of the chronic nutritional problems that remains a serious concern in Indonesia. Children who experience stunting not only experience physical growth retardation, but also cognitive development disorders that have the potential to reduce intelligence, academic achievement, and productivity in adulthood. The problem in this study is the high prevalence of stunting in children in rural areas. The purpose of this study is to analyse the performance of the Naïve Bayes Classifier (NBC) and K-Nearest Neighbour (KNN) and compare the performance of the two methods to determine the most optimal method for classifying stunting status in children in accordance with the Research Master Plan with a focus on engineering and technology for improving ICT content and the research topic of big data technology development. The research methods used included data collection through observation and interviews. Data processing and analysis were carried out by comparing the NBC and KNN methods in classifying child stunting. The results of this study indicate that the NBC method has higher accuracy, namely 95.24% and an F1-score of 97%, compared to the KNN method, which has an accuracy of 76.19% and an F1-score of 86%. Therefore, the KNN method is more optimal for use in classifying stunting in children.
Liveness Detection-Based Home Door Security System for Anti-Spoofing Using Intel RealSense F455 Camera and LBPH saputro, Adi kurniawan; Ubaidillah, Achmad; Diputra, Hamzah Arifianto; Laksono, Deni Tri; Ibadillah, Achmad Fiqhi; Nur, Achmad Zain
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.34918

Abstract

Spoofing attacks on facial recognition-based security systems are increasing along with the development of smart home technology. To address this issue, this study proposes a home door security system with the implementation of liveness detection-based anti-spoofing technology using an Intel RealSense F455 camera. The system is designed to verify the authenticity of a user's face in real-time by combining facial texture analysis and the user's physiological responses. The facial detection process is carried out using the Haarcascade algorithm to extract a 160×160 pixel facial area, while facial recognition uses the Local Binary Pattern Histogram (LBPH) method which is relatively stable to variations in lighting and viewing angles. The liveness detection mechanism is implemented mechanically by utilizing the Haarcascade Eye to detect the user's eye movements as an indicator of the presence of a live face, so that the system is able to distinguish real faces from fake media in the form of static photos. The system is integrated with a Telegram bot for real-time access monitoring, where automatic notifications are sent every time a door access attempt occurs. Test results show a facial recognition accuracy rate of 98.93%, with the system successfully detecting and verifying 30 registered users and producing an average confidence value consistently above 80%. Furthermore, the liveness detection mechanism proved effective in preventing photo-based spoofing attacks, with a stable detection success rate throughout the testing. These findings suggest that the integration of LBPH and eye-based liveness detection can improve the reliability of facial recognition-based door security systems.
Evaluation of Latency, Range, and Path Redundancy in Multihop Communication Using the NRF24L01 Module Purnamasari, Dian Neipa; Saputro, Adi Kurniawan; Barqi, Moch. Roziqul; Ma’rifah, Puteri Nurul; Ms, Achmad Ubaidillah; Hardiwansyah, Muttaqin
Jambura Journal of Electrical and Electronics Engineering Vol 8, No 1 (2026): Januari - Juni 2026
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v8i1.33470

Abstract

This research focuses on evaluating the performance of NRF24L01 module-based multihop wireless communication networks, specifically on latency, range, and path redundancy resilience. The network was designed with 8 nodes (1 sender and 7 router/receiver nodes) for data transmission. Response time (latency) is explicitly measured using synchronized timestamps from a Real Time Clock (RTC) DS3231 across all nodes. This performance-oriented study involved three main scenarios: 1) Line of Sight (LoS) to measure maximum range and baseline latency, 2) Non-Line of Sight (NLoS) to test the impact of physical obstacles, and 3) Automatic Routing and Path Redundancy testing to evaluate the failover capability. In the LoS scenario, effective communication reached 310 meters with an average latency of 1,046 ms. Conversely, in the NLoS scenario, communication remained effective up to 33 meters with an average latency of 763 ms. The path redundancy analysis demonstrates that the system successfully performed a failover when an intermediate node was shut down, though it caused a net latency increase of more than 800 ms on the alternative path. These results confirm that NRF24L01 can provide reliable multihop connectivity suitable for long-distance monitoring applications.

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