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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 21 Documents
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Search results for , issue "Vol 7, No 2 (2025): Juli - Desember 2025" : 21 Documents clear
Design of Dual-Axis Sunflower Type Solar Tracker to Improve Solar Panel Efficiency Iti, Mohammad Rifki; Asmara, Bambang Panji; Abdussamad, Syahrir; Musa, Wahab; Bonok, Zainudin; Nadifa, Ulfatun
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 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.v7i2.31980

Abstract

This study aims to design and test a sunflower-type solar tracker system based on light sensors to improve energy conversion efficiency in solar panels. This system uses four LDR sensors and two servo motors controlled by a microcontroller to automatically direct the panel following the movement of the sun throughout the day. The research method used is an engineering experiment, which includes literature studies, design, implementation, and system testing in sunny and cloudy weather conditions. The test results show that in sunny conditions, the tracker system produces 15.60 Wh of energy, while the static panel is only 5.81 Wh. In cloudy conditions, the energy produced by the tracker system decreases to 0.68 Wh (a decrease of 95.61%), while the static panel only produces 0.047 Wh (a decrease of 99.19%). Overall, the tracker system shows an increase in efficiency of 34.25% compared to the static system. These findings indicate that the Sunflower Solar Tracking system is effective in increasing the efficiency of solar energy absorption, even in less than optimal lighting conditions.Penelitian ini bertujuan untuk merancang dan menguji sistem pelacak surya tipe sunflower berbasis sensor cahaya guna meningkatkan efisiensi konversi energi pada panel surya. Sistem ini menggunakan empat sensor LDR dan dua motor servo yang dikendalikan oleh mikrokontroler untuk mengarahkan panel secara otomatis mengikuti pergerakan matahari sepanjang hari. Metode penelitian yang digunakan adalah eksperimen rekayasa, yang mencakup studi literatur, perancangan, implementasi, serta pengujian sistem pada kondisi cuaca cerah dan mendung. Hasil pengujian menunjukkan bahwa pada kondisi cerah, sistem pelacak menghasilkan energi sebesar 15,60 Wh, sedangkan panel statis hanya 5,81 Wh. Pada kondisi mendung, energi yang dihasilkan oleh sistem pelacak menurun menjadi 0,68 Wh (penurunan 95,61%), sementara panel statis hanya menghasilkan 0,047 Wh (penurunan 99,19%). Secara keseluruhan, sistem pelacak menunjukkan peningkatan efisiensi sebesar 34,25% dibandingkan sistem statis. Temuan ini mengindikasikan bahwa sistem Sunflower Solar Tracking efektif dalam meningkatkan efisiensi penyerapan energi surya, bahkan pada kondisi pencahayaan yang kurang optimal.
Optimization of K-Means Attribute Selection Using Correlation Matrix in Patient Disease Clustering Bengnga, Amiruddin; Ishak, Rezqiwati
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 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.v7i2.28010

Abstract

Patient health is a critical element in public health systems, where grouping disease data can facilitate risk identification and more efficient treatment planning. However,  conventional clustering methods  such as K-Means often have difficulty in separating clusters optimally, especially when the attributes used are irrelevant or redundant. This study aims to optimize  the clustering process  of patient health data by applying attribute selection using Correlation Matrix and Heatmap in the K-Means algorithm. The method used involves normalizing the data with a StandardScaler and determining the optimal number of clusters through  the Elbow Method, which results in three  optimal clusters. Attribute selection is carried out to reduce redundancy, leaving important features such as age, height, and body mass index (BMI). The results of the analysis showed that attribute selection significantly improved clustering performance, with the Silhouette Score increasing from 0.20 to 0.54 and  the Davies-Bouldin Index (DBI) decreasing from 1.60 to 0.63. Visualization of clustering results  using Principal Component Analysis (PCA) shows a clearer separation between clusters, reflecting different patient characteristics. These findings confirm the importance of attribute selection in  the clustering process  to achieve more optimal results that can help in understanding patient health patterns and designing more appropriate interventions.Kesehatan pasien merupakan elemen penting dalam sistem kesehatan masyarakat, di mana pengelompokan data penyakit dapat memfasilitasi identifikasi risiko dan perencanaan perawatan yang lebih efisien. Namun metode clustering konvensional seperti K-Means sering mengalami kesulitan dalam memisahkan cluster secara optimal, terutama ketika atribut yang digunakan tidak relevan atau berlebihan. Penelitian ini bertujuan untuk mengoptimalkan proses clustering data kesehatan pasien dengan menerapkan seleksi atribut menggunakan Correlation Matrix dan Heatmap dalam algoritma K-Means. Metode yang digunakan melibatkan normalisasi data dengan StandardScaler dan penentuan jumlah cluster optimal melalui Elbow Method, yang menghasilkan tiga cluster optimal. Seleksi atribut dilakukan untuk mengurangi redundansi, menyisakan fitur-fitur penting seperti umur, tinggi badan, dan indeks massa tubuh (IMT). Hasil analisis menunjukkan bahwa seleksi atribut secara signifikan meningkatkan performa clustering, dengan Silhouette Score meningkat dari 0,20 menjadi 0,54 dan Davies-Bouldin Index (DBI) menurun dari 1,60 menjadi 0,63. Visualisasi hasil clustering menggunakan Principal Component Analysis (PCA) menunjukkan pemisahan yang lebih jelas antar cluster, mencerminkan karakteristik pasien yang berbeda. Temuan ini menegaskan pentingnya seleksi atribut dalam proses clustering untuk mencapai hasil yang lebih optimal yang dapat membantu dalam memahami pola kesehatan pasien dan merancang intervensi yang lebih tepat.  
Analysis of Hospital Information System (SIMRS) Acceptance Using the Technology Acceptance Model (TAM) at RSUD Lombok Tengah Anggraeni, Renny; Bagye, Wire; Akbar, Jihadul
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 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.v7i2.31439

Abstract

Penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS) menjadi keharusan bagi rumah sakit di Indonesia. Observasi awal di RSUD Lombok Tengah menunjukkan bahwa pengguna SIMRS telah masih mengalami kesulitan dalam pemanfaatan fitur dan belum sepenuhnya memanfaatkan sistem secara optimal. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi penerimaan SIMRS dengan menggunakan pendekatan Technology Acceptance Model (TAM), yang diperluas dengan dua variabel eksternal: System Quality (SQ) dan Information Quality (IQ). Model TAM dipilih karena terbukti sederhana dan efektif dalam mengukur adopsi teknologi informasi berbasis persepsi pengguna. Penelitian ini menggunakan metode kuantitatif deskriptif dengan teknik pengumpulan data melalui kuesioner yang disebarkan kepada 100 responden pengguna SIMRS di berbagai unit kerja RSUD Lombok Tengah. Analisis data dilakukan dengan SmartPLS 4.0. Hasil pengujian model pengukuran menunjukkan seluruh konstruk valid dan reliabel (AVE 0,5; CR 0,7). Dari delapan hipotesis, empat terbukti signifikan, yaitu: IQ → PEOU (β = 0,427; p 0,001), PEOU → PU (β = 0,501; p 0,001), PEOU → ATU (β = 0,565; p 0,001), dan ATU → BI (β = 0,791; p 0,001). Temuan ini menunjukkan bahwa kualitas informasi dan persepsi kemudahan penggunaan merupakan faktor dominan yang memengaruhi sikap dan niat perilaku pengguna dalam menggunakan SIMRS. Penelitian ini memberikan kontribusi teoretis terhadap pengembangan model TAM di sektor kesehatan dan menawarkan implikasi praktis bagi pengelola rumah sakit dalam mengoptimalkan strategi penerapan SIMRS secara lebih terarah dan berbasis data.The implementation of Sistem Informasi Manajemen Rumah Sakit (SIMRS) is mandatory for hospitals in Indonesia. Initial observations at RSUD Lombok Tengah indicate that SIMRS users still face difficulties in utilizing system features and have not yet fully optimized its use. This study aims to analyze the factors influencing the acceptance of SIMRS using the Technology Acceptance Model (TAM), extended with two external variables: System Quality (SQ) and Information Quality (IQ). TAM was selected due to its simplicity and effectiveness in measuring technology adoption based on user perceptions. This research employs a descriptive quantitative method, with data collected through questionnaires distributed to 100 SIMRS users across various departments at RSUD Lombok Tengah. Data analysis was conducted using SmartPLS 4.0. The measurement model results indicate that all constructs are valid and reliable (AVE 0.5; CR 0.7). Of the eight hypotheses tested, four were found to be significant: IQ → PEOU (β = 0.427; p 0.001), PEOU → PU (β = 0.501; p 0.001), PEOU → ATU (β = 0.565; p 0.001), and ATU → BI (β = 0.791; p 0.001). These findings suggest that information quality and perceived ease of use are dominant factors influencing user attitudes and behavioral intentions in using SIMRS. This research provides theoretical contributions to the development of the TAM framework in the healthcare sector and offers practical implications for hospital management in optimizing SIMRS implementation strategies in a more targeted and data-driven manner. 
Replacement of Faulty Resistors Using Optimization of Parallel-Series-Parallel Configuration Based on Genetic Algorithm Untoro, Wisnu Yudo; Widiartin, Tjatursari; Karyanto, Nonot Wisnu
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 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.v7i2.31388

Abstract

Resistor damage is a common problem that frequently hinders electronic device repair, especially when suitable and specific replacement components with the correct resistance values are unavailable in the market. This research proposes the use of genetic algorithms to optimize the combination of parallel-series-parallel resistor arrangements as a solution for replacing damaged resistors effectively. Genetic algorithms are chosen for their superior ability to find optimal solutions under limited data conditions. In this context, crossover probability (Pco) refers to the chance of two solutions (resistor configurations) exchanging parts of their 'genetic material' to create new solutions, while mutation (Pmu) is a random change in a solution that helps introduce solution diversity and prevents the algorithm from getting trapped in local optima. Simulations were conducted using the C programming language to generate efficient configurations for damaged resistor replacement. By utilizing five available resistance values (10Ω, 20Ω, 30Ω, 43Ω, and 51Ω), test results show that by applying Pco of 80–90% and Pmu of 10%, the genetic algorithm is capable of producing configurations that approximate or are identical to the target resistance desired within 2 to 7 generations. This success confirms that the proposed method is highly applicable and efficient in the context of electronic repairs. This research makes a significant contribution by offering a practical and effective solution for technicians and electronic service providers, especially when facing component limitations, thereby enabling quick and accurate resistor replacement in the field.Kerusakan resistor merupakan masalah umum yang sering terjadi dan menghambat perbaikan perangkat elektronik, terutama saat komponen pengganti dengan nilai resistansi yang sesuai dan spesifik tidak tersedia di pasaran. Penelitian ini mengusulkan penggunaan algoritma genetika untuk mengoptimalkan kombinasi susunan resistor paralel-seri-paralel sebagai solusi pengganti resistor yang rusak secara efektif. Algoritma genetika dipilih karena kemampuannya yang unggul dalam menemukan solusi optimal pada kondisi data yang terbatas. Dalam konteks ini, probabilitas crossover (Pco) merujuk pada peluang dua solusi (konfigurasi resistor) bertukar sebagian 'materi genetikanya' untuk menciptakan solusi baru, sementara mutasi (Pmu) adalah perubahan acak pada sebuah solusi yang membantu memperkenalkan keberagaman solusi dan mencegah algoritma terjebak pada lokal optimum. Simulasi dilakukan menggunakan bahasa pemrograman C++ untuk menghasilkan konfigurasi efisien dalam penggantian resistor rusak. Dengan memanfaatkan lima nilai resistansi yang tersedia (10Ω, 20Ω, 30Ω, 43Ω, dan 51Ω), hasil uji menunjukkan bahwa dengan menerapkan Pco 80–90% dan Pmu 10%, algoritma genetika mampu menghasilkan konfigurasi yang mendekati atau identik dengan resistansi target yang diinginkan dalam 2 hingga 7 generasi. Keberhasilan ini menegaskan bahwa metode yang diusulkan sangat aplikatif dan efisien dalam konteks perbaikan elektronik. Penelitian ini memberikan kontribusi signifikan dengan menawarkan solusi praktis dan tepat guna bagi teknisi dan penyedia jasa servis elektronik, terutama saat menghadapi kendala keterbatasan komponen, sehingga memungkinkan penggantian resistor yang cepat dan akurat di lapangan.  
Analyzing User Satisfaction with Government Websites Through the EUCS and TAM Models Handayani, Layli; Imtihan, Khairul; Asyari, Hasyim
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 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.v7i2.31359

Abstract

In the digital era, the quality of public service websites has become a crucial factor in enhancing user engagement and satisfaction. This study aims to evaluate the factors influencing user satisfaction and behavioral intention to use a government service website by integrating the End-User Computing Satisfaction (EUCS) model and the Technology Acceptance Model (TAM). A quantitative approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and Importance-Performance Map Analysis (IPMA), based on data collected from 346 valid respondents. The results reveal that perceived usefulness and perceived ease of use significantly influence user satisfaction, which subsequently impacts behavioral intention. Additionally, format and timeliness affect perceived usefulness, while format significantly influences perceived ease of use. IPMA analysis identifies perceived ease of use and perceived usefulness as strategic priorities for enhancing user satisfaction and promoting continuous usage. In conclusion, to optimize the effectiveness of digital public services, website administrators should focus on developing intuitive interfaces and delivering services that provide real added value to users.Dalam era digital, kualitas situs web layanan publik menjadi faktor krusial dalam meningkatkan keterlibatan dan kepuasan pengguna. Penelitian ini bertujuan untuk mengevaluasi faktor-faktor yang memengaruhi kepuasan pengguna dan niat perilaku menggunakan situs web layanan pemerintah, dengan mengintegrasikan model End-User Computing Satisfaction (EUCS) dan Technology Acceptance Model (TAM). Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik analisis Partial Least Squares Structural Equation Modeling (PLS-SEM) dan Importance-Performance Map Analysis (IPMA), berdasarkan data dari 346 responden yang valid. Hasil penelitian menunjukkan bahwa perceived usefulness dan perceived ease of use berpengaruh signifikan terhadap user satisfaction, yang selanjutnya berpengaruh terhadap behavioral intention. Selain itu, format dan timeliness memengaruhi perceived usefulness, sedangkan perceived ease of use dipengaruhi oleh format. Analisis IPMA mengidentifikasi perceived ease of use dan perceived usefulness sebagai prioritas utama untuk meningkatkan kepuasan pengguna dan mendorong penggunaan berkelanjutan. Kesimpulannya, untuk meningkatkan efektivitas layanan publik digital, pengelola situs web harus fokus pada pengembangan antarmuka yang intuitif dan layanan yang benar-benar memberikan nilai tambah bagi pengguna.     
An Analysis of the Acceptance of the Mal Pelayanan Publik (MPP) Application Using a Modified Technology Acceptance Model (TAM) Pajrin, Gumilar Samsul; Bagye, Wire; Imtihan, Khairul
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 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.v7i2.31338

Abstract

This study was conducted to evaluate the extent to which users accept the use of the Public Service Mall (Mal Pelayanan Publik or MPP) application in Central Lombok Regency, employing a modified Technology Acceptance Model (TAM) approach. The modification involved the integration of additional constructs, namely trust, subjective norms, experience, and user experience, to provide a more comprehensive understanding of the factors influencing acceptance and the intention to continue using the MPP application. A quantitative approach was adopted, utilizing a survey method with questionnaires distributed online to MPP application users. Data analysis was performed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique with the aid of SmartPLS version 4.0 software. Among the eleven hypotheses proposed in the model, only three were found to be statistically significant. The findings indicate that Perceived Usefulness (PU) positively influences Attitude Toward Using (ATU), which in turn positively affects Behavioral Intention to Use (BI), and subsequently, BI contributes positively to Continuance Intention (CI) in using the MPP application. These results highlight the critical role of perceived usefulness—or users' assessment of system functionality—as a primary determinant in shaping attitudes and usage intentions. Based on these findings, the study recommends enhancing digital literacy, developing application features that align with user needs, and strengthening the capabilities of digital service personnel to ensure sustainable utilization of technology in the public service sector.Penelitian ini dilakukan untuk mengevaluasi sejauh mana pengguna menerima penggunaan aplikasi Mal Pelayanan Publik (MPP) di Kabupaten Lombok Tengah dengan menggunakan pendekatan model Technology Acceptance Model (TAM) yang telah dimodifikasi. Modifikasi model mencakup tambahan konstruk trust, subjective norms, experience, dan user experience agar dapat menghasilkan pemahaman yang lebih lengkap pada aspek yang memengaruhi penerimaan dan niat keberlanjutan penggunaan aplikasi MPP. Pendekatan kuantitatif digunakan dengan metode survei melalui kuesioner yang disebarkan secara daring kepada pengguna aplikasi MPP.  Analisis data dilakukan menggunakan pendekatan Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan bantuan perangkat lunak SmartPLS versi 4.0. Dari sebelas hipotesis yang diajukan dalam model, hanya tiga yang terbukti signifikan secara statistik. Temuan tersebut menunjukkan bahwa Perceived Usefulness (PU) memiliki pengaruh positif terhadap Attitude Toward Using (ATU), ATU secara positif memengaruhi Behavioral Intention to Use (BI), dan BI juga berkontribusi positif terhadap Continuance Intention (CI) dalam penggunaan aplikasi MPP. Temuan ini menekankan pentingnya persepsi kegunaan atau panandangan terhadap fungsionalitas sebagai penentu utama dalam membentuk sikap dan niat penggunaan aplikasi. Penelitian ini merekomendasikan peningkatan edukasi digital, pengembangan fitur yang relevan dengan kebutuhan pengguna, serta penguatan kapasitas SDM pelayanan digital untuk mendukung keberlanjutan pemanfaatan teknologi di sektor pelayanan publik.
Improving Naïve Bayes Accuracy with Particle Swarm Optimization in Sentiment Analysis of Ibu Kota Nusantara (IKN) Idris, Irma Surya Kumala; Mustofa, Mustofa
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 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.v7i2.31589

Abstract

The development of Indonesia's new capital city, Ibu Kota Nusantara (IKN), has sparked extensive public discourse on social media, positioning sentiment analysis as a strategic approach to understanding public opinion. This study assesses the performance of the Naïve Bayes algorithm enhanced through Particle Swarm Optimization (PSO) in classifying public sentiment related to the IKN project, using Indonesian-language comments extracted from the social media platform X. The initial Naïve Bayes model achieved an accuracy of 78.3%, while the PSO-optimized model demonstrated an improved accuracy of 79.7% under optimal parameter settings. These findings indicate the potential of PSO to enhance feature selection effectiveness and reduce classification errors, particularly for positive sentiments. Despite the observed improvements, limitations such as reliance on automated sentiment labeling and challenges posed by linguistic context remain. This study contributes an early exploration of optimization-based methods for public opinion classification and highlights the need for further research involving advanced approaches such as deep learning tailored to the Indonesian language.Pembangunan Ibu Kota Nusantara (IKN) menimbulkan diskursus publik yang luas di media sosial, menjadikan analisis sentimen sebagai pendekatan strategis untuk memahami opini masyarakat. Studi ini mengevaluasi kinerja algoritma Naïve Bayes yang ditingkatkan menggunakan pendekatan Particle Swarm Optimization (PSO) dalam tugas pengelompokan sentimen publik terhadap proyek IKN, dengan menggunakan data komentar berbahasa Indonesia dari platform media sosial X. Hasil awal dari model Naïve Bayes standar mencatat akurasi sebesar 78,3%, sedangkan setelah proses optimasi dengan PSO, akurasi meningkat menjadi 79,7% pada pengaturan parameter terbaik. Hasil ini memperlihatkan potensi PSO dalam meningkatkan efektivitas seleksi fitur dan mengurangi kesalahan klasifikasi, terutama pada sentimen positif. Meski pendekatan ini menunjukkan perbaikan, keterbatasan seperti ketergantungan pada pelabelan otomatis dan konteks linguistik masih menjadi tantangan. Studi ini memberikan kontribusi awal dalam pengembangan metode klasifikasi opini publik berbasis optimasi, serta mendorong eksplorasi pendekatan lanjutan seperti deep learning untuk konteks bahasa Indonesia.
Application of Naïve Bayes Classifier Method for Classification of Acute Respiratory Infection (ARI) Rahmat Thaib, Rahmat Thaib; Betrisandi, Betrisandi
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 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.v7i2.31851

Abstract

ARI is a global problem that affects millions of individuals every year, including in Pohuwato District. Symptoms include runny nose, sore throat, cough, and shortness of breath which are generally caused by bacterial or viral infections. Types of ARI can be classified into mild, moderate, and severe. The problem in this study is the lack of public knowledge related to ARI management and the high incidence of ARI disease.   This study aims to classify ARI diseases based on patient age and length of hospitalisation in the hope that it can help medical personnel at the puskesmas in providing fast handling and appropriate treatment to patients with ARI. Data collection techniques were carried out by direct survey to the Marisa Health Centre, Pohuwato Regency, Gorontalo Province. Data analysis is done by data mining which emphasises the classification of ARI diseases with the Naïve Bayes Classifier method. The results of this study showed high accuracy of 96.61% for mild prediction, 95.60% for moderate prediction, and 100% for severe prediction. So the Naïve Bayes Classifier method is able to produce correct predictions in identifying ARI cases.ISPA adalah salah satu masalah global yang mempengaruhi jutaan individu setiap tahunnya, termasuk di Kabupaten Pohuwato. Gejala yang ditimbulkan bervariasi seperti pilek, sakit tenggorokan, batuk, dan sesak napas yang umumnya disebabkan oleh infeksi bakteri atau virus. Jenis ISPA dapat diklasifikasikan menjadi ringan, sedang, dan berat. Permasalahan dalam penelitian ini adalah kurangnya pengetahuan masyarakat terkait penanganan ISPA dan tingginya angka kejadian penyakit ISPA.   Penelitian ini bertujuan untuk mengklasifikasikan penyakit ISPA berdasarkan usia pasien dan lama rawat inap dengan harapan dapat membantu para tenaga medis di puskesmas dalam memberikan penanganan yang cepat serta pengobatan yang tepat kepada para penderita ISPA. Teknik pengumpulan data dilakukan dengan survei langsung ke Puskesmas Marisa,  Kabupaten Pohuwato, Provinsi Gorontalo. Analisis data dilakukan dengan data mining yang menekankan pada klasifikasi penyakit ISPA dengan metode Naïve Bayes Classifier. Hasil dari penelitian ini menunjukkan akurasi yang tinggi yaitu 96.61% untuk prediksi ringan, 95,60% untuk prediksi sedang, dan 100% untuk prediksi berat. Jadi metode Naïve Bayes Classifier mampu menghasilkan prediksi yang tepat dalam mengidentifikasi kasus ISPA.
Three Phase Motor Control and Phase Failure Protection Based on Zelio Smart Relay Sawidin, Sukandar; Putung, Yoice R.; Kereh, Tracy Marsela; Waroh, Anthoinete
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 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.v7i2.32438

Abstract

Three-phase induction motors are vital components in various industrial applications due to their robust characteristics and high operational efficiency. However, these motors are susceptible to electrical disturbances, particularly phase failure, which can cause significant damage if not handled properly. In response to this issue, this study designs and implements a three-phase induction motor control system integrated with Phase Failure Relay (PFR) protection based on the Smart Relay Zelio. The system is designed to detect phase failures in real-time and respond automatically to prevent further damage to the motor. The methodology used includes the design of a control scheme based on the Smart Relay Zelio, integration of the PFR protection device, and a series of tests on system performance under varying load conditions and phase failure simulations. Test results show that the system can identify the loss of one phase with high accuracy and response speed. When a phase failure occurs, the system automatically stops the power supply to the motor to prevent more serious damage. In addition, the use of the Zelio Smart Relay provides ease of configuration, monitoring, and operational flexibility, which collectively contribute to improved system efficiency and safety. Therefore, it can be concluded that the three-phase induction motor control system equipped with PFR protection based on the Smart Relay Zelio is effective in detecting and responding to phase failures, while enhancing the overall reliability and safety of the electrical system.Motor induksi tiga fasa merupakan komponen vital dalam berbagai aplikasi industri karena karakteristiknya yang tangguh serta efisiensi operasional yang tinggi. Meskipun demikian, motor ini memiliki kerentanan terhadap gangguan kelistrikan, khususnya kegagalan fasa (phase failure), yang dapat menimbulkan kerusakan signifikan apabila tidak ditangani secara tepat. Sebagai respons terhadap permasalahan tersebut, penelitian ini merancang dan mengimplementasikan suatu sistem kendali motor induksi tiga fasa yang terintegrasi dengan proteksi Phase Failure Relay (PFR) berbasis Smart Relay Zelio. Sistem ini dirancang untuk melakukan deteksi gangguan fasa secara real-time serta merespons secara otomatis guna mencegah kerusakan lanjutan pada motor. Metodologi yang digunakan mencakup perancangan skema kendali berbasis Smart Relay Zelio, integrasi perangkat proteksi PFR, serta serangkaian pengujian terhadap performa sistem dalam kondisi beban yang bervariasi dan simulasi gangguan fasa. Hasil pengujian menunjukkan bahwa sistem mampu mengidentifikasi kehilangan salah satu fasa dengan tingkat akurasi dan kecepatan respons yang tinggi. Ketika terjadi kegagalan fasa, sistem secara otomatis menghentikan suplai daya ke motor untuk mencegah kerusakan yang lebih serius. Di samping itu, penggunaan Smart Relay Zelio memberikan kemudahan dalam proses konfigurasi, pemantauan, serta fleksibilitas pengoperasian, yang secara keseluruhan berkontribusi pada peningkatan efisiensi dan keselamatan sistem. Dengan demikian, dapat disimpulkan bahwa sistem kendali motor induksi tiga fasa yang dilengkapi dengan proteksi PFR berbasis Smart Relay Zelio terbukti efektif dalam mendeteksi dan merespons kegagalan fasa, sekaligus meningkatkan keandalan dan keselamatan sistem kelistrikan secara menyeluruh. 
Implementation of Rubber Sap Bowl Cover for Improved Rubber Harvest Quality Dasmen, Rahmat Novrianda; Darwin, Darwin; Aldeno, Malvin; Febriyanti, Dinni
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 2 (2025): Juli - Desember 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.v7i2.31385

Abstract

 Seri Tanjung village is a village located in the Tanjung Batu District, Ogan Ilir Regency, South Sumatra. The majority of the village’s population relies on plantation activities, particularly rubber farming, with approximately 65% of the area used for rubber production. Latex is a vital commodity for the local community and serves as a major contributor to the village’s economy. However, in practice, the quality of latex often deteriorates due to rainwater contamination. Rainwater that enters the tapping bowl can hinder the natural coagulation process and reduce the overall quality of the harvested rubber. This study aims to design an automatic bowl cover system for latex tapping, based on a rain sensor, to maintain the latex quality. The research method employed includes literature study and action research through prototype development. The test results show that the automatic cover system functions effectively and responsively in protecting the latex from rain exposure. Therefore, this tool has the potential to improve both the quality and quantity of rubber production, while also contributing to the welfare of rubber farmers in the region.Desa Seri Tanjung merupakan sebuah desa di Kecamatan Tanjung Batu, Kabupaten Ogan Ilir, Sumatra Selatan. Desa ini mayoritas penduduknya menggantungkan hidup dari sektor perkebunan, khususnya perkebunan karet, dengan sekitar 65% wilayahnya digunakan untuk produksi karet. Lateks atau getah karet merupakan komoditas penting bagi masyarakat lokal dan menjadi penopang utama ekonomi desa. Namun, dalam praktiknya, kualitas lateks sering mengalami penurunan akibat kontaminasi air hujan. Air hujan yang masuk ke dalam mangkok sadap dapat menghambat proses pembekuan alami dan menurunkan mutu karet yang dihasilkan. Penelitian ini bertujuan untuk merancang sebuah sistem penutup otomatis pada mangkok sadap getah karet berbasis sensor hujan, guna menjaga kualitas getah tetap optimal. Metode yang digunakan dalam penelitian ini adalah studi literatur dan action research melalui perancangan prototipe. Hasil pengujian menunjukkan bahwa sistem penutup otomatis ini mampu bekerja secara responsif dalam melindungi getah dari air hujan. Dengan demikian, alat ini berpotensi meningkatkan kualitas dan kuantitas produksi karet, serta berkontribusi terhadap peningkatan kesejahteraan petani karet di daerah tersebut.

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