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Journal of Electrical Vocational Education and Technology
Published by Universitas Negeri Jakarta
ISSN : 25489178     EISSN : 29881110     DOI : https://doi.org/10.21009/JEVET.0071.01
Core Subject : Education, Engineering,
Education Electrical & Electronics Engineering Engineering
Journal of Electrical Vocational Education and Technology adalah jurnal ilmiah yang diterbitkan oleh Program Studi S1 Pendidikan Teknik Elektro Fakultas Teknik Universitas Negeri Jakarta yang telah diterbitkan sejak tahun 2016 dengan edisi terbit dua kali dalam setahun, yaitu di bulan Juni dan Desember.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 129 Documents
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Design of Prototype Solar Tracking System Dual Axis Based on Positioning System (GPS) for Energy Optimization on 100WP Solar Panel Rangga Prayoga, Muhammad; Sunawar, Aris; Djaohar, Mochammad
Journal of Electrical Vocational Education and Technology Vol. 8 No. 1 (2025): Journal of Electrical Vocational Education and Technology, Volume 8 Issue 1, Ju
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JEVET.0081.03

Abstract

Abstract Static solar panels have a disadvantage in capturing solar radiation intensity optimally because they do not follow the movement of the sun. This study aims to design and develop a GPS-based dual-axis solar tracker prototype to optimize energy on a 100WP solar panel. The system tracks the sun's position in real-time based on azimuth and elevation angles using a stepper motor as an actuator, employing the R&D research method and the ADDIE approach. The results show that the solar tracker increases the energy generated compared to the static system. On December 20, 2024, energy increased by 9.6% after accounting for system power consumption. Meanwhile, on December 18, 2024, the energy increase was 5.11%, and on December 19, 2024, it was 1.0%, but these values were before deducting power consumption. The stepper motor’s power consumption of 16.125Wh over 9 hours of operation affected net energy efficiency. Testing showed a tracking error of 1.74%, with an accuracy rate of 98.26%. This study concludes that the GPS-based dual-axis solar tracker can improve the energy output of solar panels with a high tracking accuracy rate.
Pengembangan Robot Tematik Digital Twin Universitas Negeri Jakarta pada Motor dan Roda Sebagai Manuver Eryanto, Saddam Bimo; Djaohar, Mochammad; Sunawar, Aris
Journal of Electrical Vocational Education and Technology Vol. 8 No. 1 (2025): Journal of Electrical Vocational Education and Technology, Volume 8 Issue 1, Ju
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JEVET.0081.04

Abstract

Abstrak Penelitian ini memiliki tujuan untuk perancangan dan pengujian robot dengan fokus pada peningkatan stabilitas pergerakan, penyederhanaan kontrol, serta pengurangan jumlah motor penggerak. Selain itu, penelitian ini juga mengevaluasi perbedaan kinerja antara motor DC biasa dan motor encoder dengan kontrol PID untuk menentukan solusi yang lebih efisien dan optimal. Dengan demikian penulis membuat pengembangan pada motor dan roda robot menggunakan tiga buah roda omniwheel dengan asumsi koin tidak akan menyentuh lantai dan robot stabil tidak akan menyentuh robot lawan. Metode pengembangan yang digunakan adalah Research and Development (R&D) dengan pendekatan ADDIE meliputi analisis, desain, pengembangan, implementasi dan evaluasi pada robot. Hasil yang diperoleh pada pengujian yaitu untuk kecepatan, motor encoder unggul dengan 0,72 detik lebih cepat data dapat dilihat pada tabel 4.18. Pada pengujian kestabilan motor encoder unggul lebih stabil dengan grafik berada pada rentang 7000 – 10.000 pulse sinyal digital sedangkan motor DC berada pada 16.000 – 20.000 pulse sinyal digital data dapat dilihat pada tabel 4.9. Pada pengujian manuver motor encoder unggul 13,4 detik lebih cepat dari motor DC data dapat dilihat pada tabel 4.19. Kesimpulan bedasarkan hasil pengujian menunjukan bahwa robot yang dikembangkan pada motor dan roda memiliki hasil yang lebih unggul dalam kestabilan pada semua pengujian. Abstract This study aims to design and test robots with a focus on increasing movement stability, simplifying control, and reducing the number of drive motors. In addition, this study also evaluates the performance differences between ordinary DC motors and encoder motors with PID control to determine a more efficient and optimal solution. Thus, the author made developments on robot motors and wheels using three omniwheel wheels with the assumption that coins will not touch the floor and stable robots will not touch opposing robots. The development method used is Research and Development (R&D) with the ADDIE approach including analysis, design, development, implementation and evaluation on robots. The results obtained in the test are for speed, the encoder motor is superior with 0.72 seconds faster data can be seen in table 4.18. In the stability test, the encoder motor is superior and more stable with a graph in the range of 7000 - 10,000 digital signal pulses while the DC motor is at 16,000 - 20,000 digital signal pulses data can be seen in table 4.9. In the test of encoder motor maneuvers, it is 13.4 seconds faster than the DC motor, the data can be seen in table 4.19. The conclusion based on the test results shows that the robot developed on the motor and wheels has better results in stability in all tests.
Hubungan Persepsi Pencahayaan dan Kebisingan dengan Kepuasan Kerja pada PT. PLN Indonesia Power Unit Bisnis Pembangkitan Priok Wibisono, Salsa Alifianti; Subekti, Massus; Suyitno, Suyitno
Journal of Electrical Vocational Education and Technology Vol. 8 No. 1 (2025): Journal of Electrical Vocational Education and Technology, Volume 8 Issue 1, Ju
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jJEVET.081.05

Abstract

Abstrak Pencahayaan dan kebisingan merupakan dua faktor dalam lingkungan kerja fisik yang dapat memengaruhi tingkat kepuasan kerja pegawai. Kondisi pencahayaan yang memadai, seperti cahaya yang cukup terang untuk membaca indikator alat atau melihat area kerja dengan jelas, dapat menciptakan rasa nyaman dan aman. Sementara itu, kebisingan berlebih di tempat kerja dapat menjadi gangguan serius yang memengaruhi fokus dan kenyamanan sehingga memengaruhi kualitas kerja mereka. Metode pengumpulan data menggunakan angket yang disebarkan ke 55 orang responden. Penelitian ini bertujuan untuk mengetahui antara korelasi antara persepsi pencahayaan dan kebisingan dengan kepuasan kerja di PT. PLN Indonesia Power Unit Bisnis Pembangkitan Priok. Teknik analisis data yang digunakan adalah korelasi. Hasil penelitian menunjukkan: (a) terdapat hubungan positif antara persepsi pencahayaan dengan kepuasan kerja, dimana nilai rhitung>rtabel yaitu pada rentang (0,488>0,266). (b) terdapat hubungan negatif antara persepsi kebisingan dengan kepuasan kerja, dimana nilai rhitung<rtabel yaitu pada rentang (-0,036<0,266). (c) terdapat hubungan antara persepsi pencahayaan dan kebisingan secara bersama sama dengan kepuasan kerja, dimana nilai fhitung>ftabel (8,154>3,175) dengan nilai signifikansi <0,001 yang berarti lebih kecil dari 0,05. Abstract Lighting and noise are two factors in the physical work environment that can affect employees' job satisfaction levels. Adequate lighting conditions, such as light bright enough to read tool indicators or see the work area clearly, can create a sense of comfort and security. Meanwhile, excessive noise in the workplace can be a serious distraction that affects focus and comfort, affecting the quality of their work. The data collection method used a questionnaire distributed to 55 respondents. This study aims to determine the correlation between the perception of lighting and noise with job satisfaction at PT. PLN Indonesia Power Priok Generating Business Unit. The data analysis technique used is correlation. The results showed: (a) there is a positive relationship between lighting perception and job satisfaction, where the value of rcount> table is in the range (0.488>0.266). (b) there is a negative relationship between noise perception and job satisfaction, where the value of rcount<rtable is in the range (-0.036 < 0.266). (c) there is a relationship between the perception of lighting and noise together with job satisfaction, where the value of fcount>ftabel (8.154>3.175) with a significance value of <0.001 which means smaller than 0.05.
Hubungan Lingkungan Keluarga, Motivasi Belajar dan Minat Memilih Jurusan dengan Prestasi Belajar Siswa Kelas X TITL SMK Dinamika Pembangunan 1 Jakarta Widia Sinaga, Tanti; Wadjdi, Faried; Suyitno, Suyitno
Journal of Electrical Vocational Education and Technology Vol. 8 No. 2 (2025): Journal of Electrical Vocational Education and Technology, Volume 8 Issue 2, De
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JEVET.0082.05

Abstract

Abstrak Penelitian ini bertujuan: (1) untuk mengetahui hubungan yang positif dan signifikan antara lingkungan keluarga dengan prestasi belajar siswa kelas X TITL SMK Dinamika Pembangunan 1 Jakarta; (2) untuk mengetahui hubungan yang positif dan signifikan  antara motivasi belajar dengan prestasi belajar siswa kelas X TITL SMK Dinamika Pembangunan 1 Jakarta; (3) untuk mengetahui hubungan yang positif dan signifikan antara minat memilih jurusan dengan prestasi belajar siswa kelas X TITL SMK Dinamika Pembangunan 1 Jakarta; (4) untuk mengetahui hubungan yang signifikan antara lingkungan keluarga, motivasi belajar, dan minat memilih jurusan secara bersama sama dengan prestasi belajar siswa kelas X TITL SMK Dinamika Pembangunan 1 Jakarta. Metode yang digunakan adalah metode korelasional dengan pendekatan kuantitatif. Populasi penelitian adalah 79 siswa kelas X TITL, dengan sampel sebanyak 66 siswa yang dipilih menggunakan teknik simple random sampling. Teknik pengumpulan data pada variabel X1, X2, dan X3 menggunakan data primer yaitu angket, dan variabel Y menggunakan data sekunder yaitu nilai rapor semester ganjil. Hasil penelitian menunjukkan bahwa (1) terdapat hubungan yang positif dan signifikan antara lingkungan keluarga dengan prestasi belajar siswa, dengan nilai rhitung  sebesar 0,572 lebih besar dari  rtabel sebesar 0,242 dengan signifikansi 5%; (2) terdapat hubungan yang positif dan signifikan antara motivasi belajar dengan prestasi belajar, dengan nilai rhitung sebesar 0,532 lebih besar dari rtabel= 0,242 dengan signifikansi 5% (3) terdapat hubungan yang positif dan signifikan antara minat memilih jurusan dengan prestasi belajar siswa, dengan nilai rhitung sebesar 0,648 lebih besar dari rtabel sebesar 0,242 dengan signifikansi 5%; (4) terdapat hubungan yang positif dan signifikan antara lingkungan keluarga, motivasi belajar, dan minat memilih jurusan secara bersama-sama dengan prestasi belajar, nilai  sebesar 22,459 lebih besar dari sebesar 2,75 dengan signifikansi 5%. Abstract This study aims to: (1) determine the positive and significant relationship between the family environment and the academic achievement of Grade X TITL students at SMK Dinamika Pembangunan 1 Jakarta; (2) determine the positive and significant relationship between learning motivation and the academic achievement of Grade X TITL students at SMK Dinamika Pembangunan 1 Jakarta; (3) determine the positive and significant relationship between interest in choosing a major and the academic achievement of Grade X TITL students at SMK Dinamika Pembangunan 1 Jakarta; (4) determine the significant relationship between the family environment, learning motivation, and interest in choosing a major collectively with the academic achievement of Grade X TITL students at SMK Dinamika Pembangunan 1 Jakarta. The research method used is the correlational method with a quantitative approach. The study population consisted of 79 Grade X TITL students, with a sample of 66 students selected using a simple random sampling technique. Data collection techniques for variables X1, X2, and X3 used primary data through questionnaires, while variable Y used secondary data from first-semester report card scores. The research results show that: (1) there is a positive and significant relationship between the family environment and students' academic achievement, with an rcount value of 0.572, which is greater than rtable of 0.242 at a 5% significance level; (2) there is a positive and significant relationship between learning motivation and academic achievement, with an rcount value of 0.532, greater than rtable of 0.242 at a 5% significance level; (3) there is a positive and significant relationship between interest in choosing a major and students' academic achievement, with an rcount value of 0.648, greater than rtable of 0.242 at a 5% significance level; (4) there is a positive and significant relationship between the family environment, learning motivation, and interest in choosing a major collectively with academic achievement, with an Fcount value of 22.459, which is greater than Ftable of 2.75 at a 5% significance level.
Performance Analysis of Small-Scale Educational Solar Photovoltaic Modules Based on Irradiation Variations and Environmental Temperature in Cimahi City Ridwan Nurdin; Sri Paryanto Mursid; Sri Utami; Muhamad Irfan Nurdin; Sofy Fitriani
Journal of Electrical Vocational Education and Technology Vol. 9 No. 1 (2026): Journal of Electrical Vocational Education and Technology, Volume 9 Issue 1, Ju
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JEVET.0091.03

Abstract

Abstract This study aims to evaluate the operational characteristics of a 50 Wp polycrystalline photovoltaic (PV) module under actual environmental conditions as a basis for developing renewable energy practicum media. The research method was carried out through field testing in Cimahi City with parameters including solar irradiation, panel temperature, and electrical parameters (voltage, current, and power) recorded at five-minute intervals. The results of data analysis showed a strong correlation between irradiation intensity and output power, with a coefficient of determination (R²) of 0.93. The results showed that output power increased with increasing irradiation, while increasing panel temperature decreased output voltage. Panel efficiency was in the range of 9.2%-13.1%, lower than manufacturer specifications due to non-STC environmental conditions and system losses. Nevertheless, the PV module proved effective as a project-based learning medium that was able to provide students with a practical understanding of the influence of environmental factors on the performance of photovoltaic systems. Abstrak Penelitian ini bertujuan untuk mengevaluasi karakteristik operasional modul fotovoltaik (PV) polikristal 50 Wp pada kondisi lingkungan aktual sebagai dasar pengembangan media praktikum energi terbarukan. Metode penelitian dilakukan melalui pengujian lapangan di Kota Cimahi dengan parameter yang meliputi iradiasi matahari, suhu panel, serta parameter listrik (tegangan, arus, dan daya) yang direkam pada interval lima menit. Hasil analisis data menunjukkan adanya korelasi yang kuat antara intensitas iradiasi dan daya keluaran, dengan koefisien determinasi (R²) sebesar 0,93. Hasil penelitian menunjukkan bahwa daya keluaran meningkat seiring dengan bertambahnya iradiasi, sedangkan kenaikan suhu panel menurunkan tegangan keluaran. Efisiensi panel berada pada rentang 9,2%–13,1%, lebih rendah dari spesifikasi pabrikan akibat kondisi lingkungan yang tidak sesuai dengan STC (Standard Test Conditions) serta adanya rugi-rugi sistem. Meskipun demikian, modul PV terbukti efektif sebagai media pembelajaran berbasis proyek yang mampu memberikan pemahaman praktis kepada mahasiswa mengenai pengaruh faktor lingkungan terhadap kinerja sistem fotovoltaik.
DESAIN DAN IMPLEMENTASI SISTEM INSTRUMENTASI PEMBANGKIT LISTRIK TENAGA SURYA TERINTEGRASI JALA-JALA BERBASIS INTERNET OF THINGS Alfin Muhammad Nugroho; Agus Ulinuha
Journal of Electrical Vocational Education and Technology Vol. 9 No. 1 (2026): Journal of Electrical Vocational Education and Technology, Volume 9 Issue 1, Ju
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JEVET.0091.01

Abstract

Abstrak Pembangkit Listrik Tenaga Surya (PLTS) terus mengalami peningkatan karena sistem ini memiliki prosedur instalasi yang relatif sederhana serta menghasilkan emisi lingkungan yang rendah. Namun, sebagian instalasi PLTS belum dilengkapi dengan sistem instrumentasi dan monitoring terintegrasi untuk mengevaluasi kinerja secara langsung dan komprehensif. Studi ini difokuskan pada perancangan dan penerapan sistem instrumentasi berbasis Internet of Things (IoT) yang digunakan untuk memantau serta mengevaluasi kinerja PLTS secara menyeluruh. Sistem dikembangkan dengan mengintegrasikan data inverter on-grid dan kWh meter ekspor–impor, serta pengukuran kondisi lingkungan yang meliputi suhu panel, suhu dan kelembapan udara, serta intensitas radiasi matahari. Data diproses menggunakan mikrokontroler ESP32, disinkronkan melalui jaringan internet, dan disajikan pada platform berbasis web secara real-time dengan fitur penyimpanan historis. Implementasi dilakukan pada instalasi PLTS on-grid di MA Darul Ihsan Muhammadiyah Sragen. Pengujian yang dilakukan menunjukkan bahwa keluaran sistem memiliki deviasi yang rendah terhadap data yang diperoleh dari instrumen referensi, sehingga menunjukkan tingkat keandalan yang tinggi. Pada lokasi, sistem dilengkapi dengan display LED TV untuk visualisasi yang lebih detail. Sistem instrumentasi dan monitoring berbasis Internet of Things (IoT) ini memungkinkan analisis kinerja sistem secara real-time serta memberikan tampilan visual yang edukatif melalui layar LED TV. Implementasi yang dikembangkan berpotensi menjadi solusi praktis dalam monitoring PLTS on-grid sekaligus media pembelajaran energi terbarukan. Abstract Solar Power Plants (SPPs) continue to grow in popularity due to their relatively simple installation and low environmental emissions. However, some SPP installations are not yet equipped with integrated instrumentation and monitoring systems to evaluate performance directly and comprehensively. This study focuses on the design and implementation of an Internet of Things (IoT)-based instrumentation system to comprehensively monitor and evaluate SPP performance. The system was developed by integrating on-grid inverter data and export-import kWh meters, as well as environmental condition measurements, including panel temperature, air temperature, and humidity, and solar radiation intensity. Data is processed using an ESP32 microcontroller, synchronized via the internet, and presented on a web-based platform in real time with a historical storage feature. Implementation was carried out on an on-grid SPP installation at MA Darul Ihsan Muhammadiyah Sragen. Tests conducted showed that the system output had a low deviation from the data obtained from the reference instrument, thus demonstrating a high level of reliability. The system is equipped with an LED TV display at the location for more detailed visualization. This IoT-based instrumentation and monitoring system enables real-time system performance analysis and provides educational visual displays via an LED TV screen. The developed implementation has the potential to be a practical solution for monitoring on-grid solar power plants and a learning tool for renewable energy.
Perbandingan Algoritma K-Means dan Hierarchical Clustering untuk Pengelompokan Konsumsi Listrik Rumah Tangga Menggunakan Silhouette Coeffcient dan Davies-Bouldin Index Alief Nur Aisyi Maulidhia
Journal of Electrical Vocational Education and Technology Vol. 9 No. 1 (2026): Journal of Electrical Vocational Education and Technology, Volume 9 Issue 1, Ju
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JEVET.0091.02

Abstract

Abstrak Pengelompokan pola konsumsi listrik rumah tangga merupakan pendekatan penting dalam memahami karakteristik penggunaan energi dan mendukung pengambilan keputusan berbasis data pada sistem kelistrikan. Penelitian ini bertujuan untuk membandingkan kinerja algoritma K-Means dan Hierarchical Clustering dalam mengelompokkan pola konsumsi listrik rumah tangga menggunakan dataset Household Electric Power Consumption yang diperoleh dari Kaggle. Data yang digunakan meliputi beberapa parameter kelistrikan, seperti Global Active Power, Voltage, dan Current, yang melalui tahapan pre-processing berupa pembersihan data, normalisasi menggunakan Min-Max Scaling, dan reduksi dimensi menggunakan Principal Component Analysis (PCA). Evaluasi kualitas klaster dilakukan menggunakan Silhouette Coefficient dan Davies-Bouldin Index (DBI). Hasil penelitian menunjukkan bahwa algoritma K-Means menghasilkan performa klasterisasi yang lebih baik dibandingkan dengan Hierarchical Clustering, dengan nilai Silhouette Coefficient sebesar 0,67 dan Davies-Bouldin Index sebesar 0,48, sedangkan Hierarchical Clustering memperoleh nilai Silhouette Coefficient sebesar 0,59 dan Davies-Bouldin Index sebesar 0,71. Temuan ini menunjukkan bahwa K-Means lebih efektif dalam mengelompokkan data konsumsi listrik rumah tangga yang terstruktur, sedangkan Hierarchical Clustering lebih sesuai untuk mengidentifikasi hubungan data yang bersifat kompleks. Penelitian ini memberikan kontribusi dalam pemilihan metode klasterisasi yang tepat untuk analisis pola konsumsi listrik rumah tangga serta dapat mendukung pembelajaran analisis data kelistrikan pada pendidikan vokasi. Abstract The clustering of household electricity consumption patterns is an important approach for understanding energy usage characteristics and supporting data-driven decision-making in electrical systems. This study aims to compare the performance of K-Means and Hierarchical Clustering algorithms in grouping household electricity consumption patterns using the Household Electric Power Consumption dataset obtained from Kaggle. The dataset includes electrical parameters such as Global Active Power, Voltage, and Current, which underwent preprocessing stages including data cleaning, normalization using Min-Max Scaling, and dimensionality reduction through Principal Component Analysis (PCA). Cluster quality evaluation was conducted using the Silhouette Coefficient and Davies-Bouldin Index (DBI). The results indicate that the K-Means algorithm achieved better clustering performance than Hierarchical Clustering, with a Silhouette Coefficient of 0.67 and a Davies-Bouldin Index of 0.48, while Hierarchical Clustering obtained a Silhouette Coefficient of 0.59 and a Davies-Bouldin Index of 0.71. These findings suggest that K-Means is more effective for clustering structured household electricity consumption data, whereas Hierarchical Clustering is more suitable for identifying complex relationships within the data. This study contributes to selecting appropriate clustering methods for household electricity consumption analysis and supports electrical data analysis learning in vocational education.
Implementasi Internet of Things untuk Monitoring Real-Time Suhu dan Kelembaban pada Budidaya Maggot Ariep Jaenul; Sidik Mulyono; Inda Wahyuni; Legenda Prameswono Pratama; Brainvendra Widi Dionova; Muhammad Yusro; Elka Pranita
Journal of Electrical Vocational Education and Technology Vol. 9 No. 1 (2026): Journal of Electrical Vocational Education and Technology, Volume 9 Issue 1, Ju
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JEVET.0091.04

Abstract

Abstrak Budidaya maggot Black Soldier Fly (BSF) menjadi salah satu solusi alternatif dalam pengelolaan limbah organik sekaligus sumber pakan berprotein tinggi. Namun, kondisi lingkungan seperti suhu dan kelembapan sangat memengaruhi pertumbuhan dan kestabilan budidaya maggot. Penelitian ini bertujuan untuk mengembangkan sistem monitoring dan pengendalian suhu serta kelembapan berbasis Internet of Things (IoT) secara real-time pada budidaya maggot. Sistem dikembangkan menggunakan mikrokontroler ESP32 yang terintegrasi dengan sensor DHT22 dan soil moisture untuk memantau kondisi lingkungan budidaya. Sistem juga dilengkapi dengan aktuator berupa lampu, ultrasonic mist maker, kipas DC, buzzer, LCD, serta notifikasi Telegram untuk pengendalian otomatis dan monitoring jarak jauh. Pengujian sistem dilakukan melalui pengujian akurasi sensor, pengendalian otomatis, respons waktu sistem, dan monitoring notifikasi berbasis IoT. Hasil penelitian menunjukkan bahwa sensor DHT22 memiliki nilai error suhu sebesar 0,00%–3,75% dan error kelembapan sebesar 0,00%–3,90%. Sensor soil moisture memiliki nilai error maksimum sebesar 3,92%. Sistem mampu menjaga kondisi lingkungan pada rentang suhu optimal 30°C–36°C dan kelembapan 60%–70% dengan waktu respons 1–2 menit. Selain itu, Telegram Bot berhasil mengirimkan notifikasi monitoring secara real-time. Abstract Black Soldier Fly (BSF) maggot cultivation has become an alternative solution for organic waste management and a high-protein feed source. However, environmental conditions such as temperature and humidity significantly affect maggot growth and cultivation stability. This study aims to develop an Internet of Things (IoT)-based monitoring and control system for real-time temperature and humidity management in maggot cultivation. The system was developed using an ESP32 microcontroller integrated with DHT22 and soil moisture sensors to monitor environmental conditions. The system also utilized actuators including lamps, ultrasonic mist makers, DC fans, buzzers, LCDs, and Telegram notifications for automatic control and remote monitoring. System performance was evaluated through sensor accuracy testing, automatic control testing, response time analysis, and IoT-based notification monitoring. The results showed that the DHT22 sensor achieved temperature measurement errors ranging from 0.00%–3.75% and humidity measurement errors ranging from 0.00%–3.90%. The soil moisture sensor produced a maximum error value of 3.92%. The system successfully maintained environmental conditions within the optimal range of 30°C–36°C and 60%–70% humidity with a response time of 1–2 minutes. In addition, the Telegram Bot successfully delivered real-time monitoring notifications remotely.
Rancang Bangun Sistem Balancing Empat Sel Baterai Lithium-Ion Berbasis Selective Charge Balancing dan Polynomial Regression Ridho Sani; Denny Irawan
Journal of Electrical Vocational Education and Technology Vol. 9 No. 1 (2026): Journal of Electrical Vocational Education and Technology, Volume 9 Issue 1, Ju
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JEVET.0091.05

Abstract

Abstrak Penelitian ini membahas rancang bangun sistem balancing empat sel baterai lithium-ion berbasis selective charge balancing dan polynomial regression. Permasalahan ketidakseimbangan tegangan antarsel pada baterai multi-sel dapat menurunkan performa, efisiensi, serta mempercepat degradasi baterai. Sistem dirancang menggunakan mikrokontroler ESP32, modul charging individual TP5100, sensor INA219, relay, serta rangkaian corrective discharge balancing. Metode utama balancing dilakukan dengan pengisian selektif pada masing-masing sel hingga mencapai tegangan 4,0 V, kemudian dilanjutkan dengan tahap rest verification selama 30 menit untuk memperoleh kondisi tegangan yang lebih stabil. Apabila masih terdapat selisih tegangan pada rentang tertentu, sistem akan mengaktifkan corrective pulse discharge balancing atau selective recharge balancing. Selain itu, metode polynomial regression digunakan untuk merepresentasikan hubungan nonlinier antara kapasitas muatan (mAh) dan Open Circuit Voltage (OCV) baterai lithium-ion. Hasil pengujian menunjukkan bahwa sistem mampu menurunkan selisih tegangan antarsel hingga mendekati batas toleransi balancing serta menghasilkan representasi karakteristik SOC–OCV yang sesuai dengan perilaku baterai selama proses charging berlangsung. Abstract This research discusses the design and implementation of a four-cell lithium-ion battery balancing system based on selective charge balancing and polynomial regression. Voltage imbalance between cells in multi-cell battery systems can reduce performance, efficiency, and battery lifespan. The proposed system was developed using an ESP32 microcontroller, TP5100 individual charging modules, INA219 sensors, relays, and a corrective discharge balancing circuit. The main balancing method was carried out through selective charging on each cell until reaching a balancing voltage of 4.0 V, followed by a 30-minute rest verification stage to obtain more stable voltage conditions. If voltage differences still existed within a certain range, the system activated corrective pulse discharge balancing or selective recharge balancing. In addition, the polynomial regression method was used to represent the nonlinear relationship between charge capacity (mAh) and the battery’s Open Circuit Voltage (OCV). The experimental results showed that the system was able to reduce voltage differences between cells close to the balancing tolerance limit and successfully represent the SOC–OCV characteristics according to lithium-ion battery behavior during the charging process.

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