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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 193 Documents
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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.
Analysis of Damage (Speed Drop) in Electric Vehicles Using Matlab Simulation Mariani, Dina; Saptadi, Arief Hendra; Sumarno, Radiktyo Nindyo
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.v7i2.29984

Abstract

Electric bicycles have become a popular mode of transportation among modern society. Many people are starting to use electric bicycles, especially for needs around the home environment. However, like other vehicles, electric bicycles can also experience damage that can affect their performance. One of them is the problem of speed drops on electric bicycles, where the bicycle suddenly slows down even though the battery is not empty. This research on electric bicycles aims to analyze and overcome problems that often occur on electric bicycles, especially speed drops. The research method used is a case study by conducting tests and analysis on electric bicycles that experience speed drops and simulating them with matlab. The results of the study showed that the main cause of speed drops on electric bicycles was damage to the battery and charging system, causing an imbalance in the voltage of the four batteries. One of the batteries has a voltage of 12.71V so that the State of Charge (SoC) value of the damaged battery will be a benchmark for the other three batteries. The results of this study are expected to provide useful information for electric bicycle users to improve the quality of electric bicycle use.Sepeda listrik telah menjadi moda transportasi yang popular di kalangan masyarakat modern. Masyarakat mulai banyak yang menggunakan sepeda listrik terutama untuk keperluan di sekitar lingkungan rumah. Namun, seperti halnya kendaraan lainnya, sepeda listrik juga bisa mengalami kerusakan yang dapat mempengaruhi performanya. Salah satunya adalah masalah drop kecepatan pada sepeda listrik, dimana sepeda tiba-tiba mengalami perlambatan padahal kondisi baterai belum kosong. Penelitian tentang sepeda listrik ini bertujuan untuk menganalisa dan mengatasi masalah-masalah yang sering terjadi pada sepeda listrik terutama masalah drop kecepatan. Metode penelitian yang digunakan adalah studi kasus dengan melakukan pengujian dan analisis pada sepeda listrik yang mengalami drop kecepatan dan mensimulasikannya dengan matlab. Hasil penelitian menunjukkan bahwa penyebab utama terjadinya drop kecepatan pada sepeda listrk adalah kerusakan pada baterai dan sistem pengisian daya sehingga menyebabkan adanya ketidakseimbangan tegangan dari keempat baterai. Salah satu baterai memiliki tegangan 12.71V sehingga nilai State of Charge (SoC) dari baterai rusak tersebut akan menjadi patokan bagi ketiga baterai yang lain. Hasil penelitian ini diharapkan dapat memberikan informasi yang bermanfaat bagi pengguna sepeda listrik untuk meningkatkan kualitas penggunaan sepeda listrik.
The Impact of Using Dual Axis Solar Trackers on Photovoltaic Efficiency Sinaga, Denny Haryanto; Tambunan, Handrea Bernando; Sinuraya, Arwadi; Hutajulu, Olnes Yosefa; Sembiring, Muhammad Aulia Rahman; Afrian, T
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.v7i2.28793

Abstract

The utilization of solar energy through photovoltaic (PV) systems continues to face efficiency challenges due to variations in light intensity and the sun’s changing position throughout the day. Static PV panels perform optimally only when positioned perpendicular to incoming sunlight, necessitating an adaptive tracking mechanism. This study designs and evaluates a low-cost dual-axis active solar tracking system employing light-dependent resistors (LDRs) and an Arduino Uno microcontroller to automatically adjust the panel’s orientation in response to solar movement. A five-day performance test was conducted comparing the dual-axis tracker with a fixed-panel system, measuring output power, voltage, current, and overall efficiency. Results show an average power increase of 7.41 W and an efficiency gain of 1.63% with the tracking system. A peak efficiency of 13.49% was recorded under low irradiance conditions, indicating the system’s ability to maintain optimal performance despite fluctuating light. These findings suggest that dual-axis tracking offers a practical and effective solution for enhancing PV efficiency, especially in regions with significant daily variations in solar intensity.Pemanfaatan energi surya melalui sistem fotovoltaik (PV) masih menghadapi tantangan efisiensi akibat variabilitas intensitas cahaya dan posisi matahari sepanjang hari. Panel PV statis hanya menghasilkan daya maksimum saat tegak lurus terhadap arah sinar matahari, sehingga diperlukan sistem pelacakan yang adaptif. Penelitian ini merancang dan menguji sistem pelacak surya aktif dua sumbu berbiaya rendah dengan menggunakan sensor light-dependent resistor (LDR) dan mikrokontroler Arduino Uno, yang secara otomatis mengatur orientasi panel mengikuti pergerakan matahari. Pengujian dilakukan selama lima hari untuk membandingkan kinerja sistem pelacak dengan panel statis, menggunakan parameter daya keluaran, tegangan, arus, dan efisiensi. Hasil menunjukkan peningkatan daya rata-rata sebesar 7,41 W dan efisiensi sebesar 1,63% pada sistem pelacak. Efisiensi tertinggi sebesar 13,49% dicapai pada kondisi iradiasi rendah, mengindikasikan kemampuan sistem dalam menjaga performa optimal di bawah pencahayaan yang tidak stabil. Temuan ini menunjukkan bahwa pelacak dua sumbu merupakan solusi praktis dan efektif dalam meningkatkan efisiensi sistem PV, terutama di wilayah dengan fluktuasi harian intensitas surya yang signifikan.
Design of an Aquarium Water Change System Based on Waterflow Sensor in PIAMARI Seawater Aquarium Baswantara, Arif; Wibowo, Yuni Ari; Setiawan, Agus; Mujib, Muhammad
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.v7i2.26170

Abstract

Water exchange process is the one of the measures to maintain water quality in an aquarium. In addition to physical, chemical and biological treatment, regular water changes are a mechanism that must be carried out. The purpose of this research is to develop an automatic water exchange system, with the studies being carried out at Pangandaran Integrated Aquarium and Marine Research Institute (PIAMARI) seawater aquarium. This automatic water change system was constructed using an instrument based on water flow sensor and an ultrasonic sensor. The water flow sensor in the instrument functions as a water discharge reader which will controls the pump, either the drain pump or the filling pump. The ultrasonic sensor in the instrument then functions as a water level reader in the supply tank. Tests were carried out using the simulation method, where the aquarium water change system was run on a glass container resembling an existing seawater aquarium. The test results showed that the system worked well. The RMSE calculation gives values of 0.148 and 0.176 for the drain pump and values of 0.1 and 0.083 for the filling pump.  These results show good performance of the sensors and pumps in the instrument, although there are shortcomings in the accuracy of the sensors. The evaluation found will be the next development of this system for larger scale utilization.Proses pergantian air merupakan salah satu upaya dalam menjaga kualitas air dalam suatu akuarium. Selain perlakuan fisik, kimia dan biologi, proses pergantian air yang rutin merupakan suatu mekanisme yang wajib untuk dilakukan, terutama pada aquarium air laut besar. Penelitian ini bertujuan untuk merancang suatu sistem pergantian air secara otomatis, dengan studi dilakukan pada akuarium air laut Pangandaran Integrated Aquarium and Marine Research Institute (PIAMARI). Sistem pergantian air otomatis ini dibangun menggunakan instrumen yang berbasis waterflow sensor dan ultrasonic sensor. Waterflow sensor pada instrumen berfungsi sebagai pembaca debit air yang selanjutnya akan mengontrol pompa, baik pada pompa kuras ataupun pompa isi. Ultrasonic sensor pada instrumen selanjutnya berfungsi sebagai pembaca muka air pada tangki suplay. Pengujian dilakukan dengan metode simulasi, dimana sistem pergantian air akuarium ini dijalankan pada wadah kaca menyerupai akuarium air laut yang ada. Hasil uji yang dilakukan menunjukkan bahwa sistem berhasil berjalan dengan baik. Perhitungan RMSE menunjukkan nilai 0,148 dan 0,176 pada pompa kuras serta nilai 0,1 dan 0,083 pada pompa isi. Hasil tersebut menunjukkan performa yang baik pada sensor dan pompa yang ada pada instrumen, meskipun terdapat kekurangan pada tingkat ketelitian sensor. Evaluasi yang ditemukan akan menjadi perkembangan selanjutnya dari sistem ini untuk pemanfaatan diskala yang lebih besar.
Implementation of DC Motor Driver in Autoclave Reactor in Nickel Laterite Ore Processing Afandy, Moh .; Rianto, Muhammad Ikbal; Mubarak, Abdul Haris
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.v7i2.31759

Abstract

This study aims to design and test a DC motor speed monitoring system in the process of stirring acid solution and Nickel Laterite ore in an Autoclave reactor tube. The control system uses a PWM (Pulse Width Modulation) signal with a constant duty cycle of 100% which is given to the MOSFET-based H-Bridge topology DC motor driver circuit. The determination of the duty cycle is based on the RPM rotation of the stirrer in the reactor tank with a multilevel test from 10% - 100%. Testing was carried out in two processing conditions, each with an acid concentration of 4% and 5%, to evaluate system performance against variations in viscosity load. The results of the study showed that the system was able to maintain the stability of the motor rotation speed in the nickel processing range with a leach solution content of 4% and 5% with an average speed of 193 RPM, even though there was an increase in load due to the concentration of the solution. The performance of the driver circuit proved effective in distributing power continuously without symptoms of overheating or switching interference, and was able to protect the system from the effects of reverse voltage. The mixing process showed homogeneous results with adequate stirring efficiency in both solution conditions. The final result in the form of filtrate liquid and residual residue is obtained from the process evaluation. The monitoring system and DC motor driver designed have shown reliable performance in laboratory-scale reactor stirring applications with a local monitor system, and have the potential to be further developed into an adaptive control system based on feedback sensors for energy efficiency and a remote monitoring and control system.Penelitian ini bertujuan untuk merancang serta menguji sistem monitoring kecepatan motor DC pada proses pengadukan larutan asam dan Nikel Laterite ore dalam tabung reaktor Autoclave. Sistem kontrol menggunakan sinyal PWM (Pulse Width Modulation) dengan dutycycle konstan sebesar 100% yang diberikan pada rangkaian driver motor DC  topologi H-Bridge berbasis MOSFET. Penentuan dutycycle didasarkan pada putaran RPM pengaduk pada tangka reactor dengan pengujian bertingkat dari 10 % - 100%. Pengujian dilakukan dalam dua kondisi proses pengolahan, masing-masing dengan konsentrasi asam 4% dan 5%, untuk mengevaluasi performa sistem terhadap variasi beban viskositas. Dari hasil penelitian menunjukkan bahwa sistem mampu mempertahankan kestabilan kecepatan putar motor dalam rentang pemprosesan nikel dengan kadar larutan pelindi 4% dan 5% dengan kecepatan rata-rata 193 RPM, meskipun terdapat peningkatan beban akibat konsentrasi larutan. Kinerja rangkaian driver terbukti efektif dalam mendistribusikan daya secara kontinu tanpa gejala overheat atau gangguan switching, serta mampu melindungi sistem dari efek tegangan balik. Proses pencampuran menunjukkan hasil homogen dengan efisiensi pengadukan yang memadai pada kedua kondisi larutan. Hasil akhir berupa cairan filtrate dan sisa residu diperoleh dari valuasi proses. Sistem monitoring dan driver motor DC yang dirancang telah menunjukkan performa andal dalam aplikasi pengadukan reaktor skala laboratorium dengan system local monitor, serta berpotensi dikembangkan lebih lanjut menuju sistem kontrol adaptif berbasis sensor umpan balik untuk efisiensi energi dan system monitoring dan control jarak jauh.
Development of an IoT-Based Tidal Gauge With Ultrasonic Sensors Alajuri, M Hasbi Sidqi; Kusuma, Hollanda Arief; Bavitra, Bavitra; Harahap, Basyaruddin Ismail
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.v7i2.29143

Abstract

Tides are the periodic rise and fall of sea levels caused by the gravitational effects of the moon and the sun. This tidal phenomenon can be measured manually or automatically using instruments. The objective of this study is to design and develop a tide gauge instrument using the JSN-SR04T sensor based on the Internet of Things (IoT). The research method includes hardware design, electrical design, firmware development, and dashboard creation. Once the system design is completed, the components are assembled. Functional and laboratory tests are conducted to ensure that each component operates properly, followed by field testing. The tide gauge instrument is capable of operating for 7 days with good accuracy in the measurement range of 25 cm to 200 cm (with an error between 0.02 and 0.16 cm). Field observations indicate that the type of tide corresponds to previous studies, which is a mixed tide. The DS18B20 sensor produced temperature readings that matched those of a standard thermometer.Pasang surut merupakan gerak naik turun muka air laut secara periodik yang disebabkan oleh efek gravitasi bulan dan matahari. Fenomena pasang surut ini bisa diukur secara manual dan otomatis menggunakan instrumen. Tujuan penelitian ini yaitu membuat rancang bangun instrumen pengukur pasang surut dengan sensor JSN-SR04T berbasis IoT. Metode penelitian dimulai dari perancangan hardware, perancangan electrical, perancangan firmware, dan perancangan dashboard. Setelah perancangan sistem selesai maka dilakukan perakitan komponen. Uji fungsionalitas dan uji laboratorium dilakukan untuk memastikan setiap komponen berfungsi dengan baik. selanjutnya, diakukan uji lapangan. Instrumen pasang surut ini dapat bekerja selama 7 hari dengan akurasi yang baik pada rentang pengukuran 25 cm hingga 200 cm (Error 0.02 hingga 0.16). Berdasarkan hasil pengamatan di lapangan menunjukkan bahwa jenis pasang surut sesuai dengan peneliti sebelumnya yaitu campuran. Hasil pengukuran sensor DS18B20 memiliki nilai suhu yang sama dengan pengukuran termometer.   
Performance Evaluation of Food Calorie Counter Mobile Application Based on CNN-YOLO Algorithms Hamzidah, Nurul Khaerani; Ulandari, Ayu; Parenreng, Mardawia Mabe; Ichzan As, Nur
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.v7i2.30595

Abstract

This article discusses the performance results of a mobile application for calculating food calories. This application can help users in managing and knowing their daily calorie intake and a healthy diet program. This application is based on image processing techniques using a combination of CNN-YOLOv5. The role of CNN is to classify data and extract labeled food image features using the supervised learning method based on images that have gone through the training process stages while YOLO plays a role in detecting food image data quickly and accurately. The design stages consist of UI design, UI creation, program implementation, and testing and evaluation. In analyzing the model, 1,736 training data, 149 test data and 206 validation data were used with 150 epochs of computation. The results of the model analysis obtained a precision of 1.00, confidence 0.962, recall 0.99 and F1 score 0.97. These results indicate that the system has met the requirements for use in further detection processes. This is evidenced by the application's ability to detect food images with 100% accuracy for all food classes in real-time or through image uploads. The test results show that the confidence value is influenced by the distance of the detector to the object, lighting intensity, camera resolution, color similarity, food variety and the background motif of the container used. The application is equipped with attractive features and UI displays such as an informative BMI calculator especially for users who are on a healthy diet program. The application of the CNN-YOLOv5 algorithm combination has been proven to be able to consistently and accurately improve application performance in detecting types of food and their calorie content in 100 grams so that it is worthy of being used as a reference in helping to monitor daily calorie intake and help a healthy diet program.Artikel ini membahas hasil kinerja aplikasi mobile penghtiung kalori makanan. Aplikasi ini dapat membantu pengguna dalam mengatur dan mengetahui asupan kalori harian serta program diet sehat. Aplikasi ini berbasis teknik pengolahan citra menggunakan kombinasi CNN-YOLOv5. Adapun peran CNN adalah untuk mengklasifikasi data serta mengekstraksi fitur citra makanan yang telah terlabel dengan menggunakan metode supervised learning berdasarkan citra yang telah melalui tahapan proses training sedangkan YOLO berperan dalam mendeteksi data citra makanan dengan cepat dan tepat. Tahapan perancangannya terdiri dari perancangan desaian UI, pembuatan UI, implementasi program, dan pengujian serta evaluasinya. Dalam menganalisis model digunakan 1.736 data latih, 149 data uji dan 206 data validasi dengan komputasi 150 epoch. Hasil analisis model diperoleh presisi 1.00, confidence 0.962, recall 0.99 serta F1 score 0.97. Hasil ini menunjukkan bahwa sistem sudah memenuhi syarat untuk digunakan dalam proses deteksi lebih lanjut. Hal ini dibuktikan dengan kemampuan aplikasi dalam mendeteksi citra makanan dengan akurasi 100% untuk semua kelas makanan secara real-time ataupun melalui upload citra. Hasil pengujian menunjukkan bahwa nilai confidence dipengaruhi oleh faktor jarak detektor ke objek, intensitas pencahayaan, resolusi kamera, kemiripan warna, variasi makanan serta adanya motif background wadah yang digunakan. Aplikasi dilengkapi dengan fitur dan tampilan UI yang menarik seperti kalkulator BMI yang informatif khususnya bagi pengguna yang sedang dalam program diet sehat. Penerapan kombinasi algoritma CNN-YOLOv5 terbukti mampu meningkatkan kinerja aplikasi secara konsisten dan akurat dalam mendeteksi jenis makanan beserta kandungan kolari dalam 100 gramnya sehingga layak dijadikan sebagai rujukan dalam membantu monitoring asupan kalori harian dan membantu program diet sehat.  

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