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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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Reliability Analysis of 20kV Distribution System SRN 02 Transmission Line of PT PLN (Persero) UP3 Surakarta Rifa'i, Muhammad; Kanata, Sabhan; Muntasiroh, Laily
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.26291

Abstract

PT. PLN (Persero) Customer Service Implementation Unit (UP3) Surakarta handles customer service and maintains distribution networks in smaller areas such as the SRN 02 Repeater. The repeater serves some areas in Sragen Regency which include agricultural areas, food centers and some industries. With the large number of consumers in SRN 02, making reliable electricity distribution such as the voltage supplied in accordance with the standard and reducing the number of blackouts due to interference. The methods used for reliability analysis are RIA and FMEA methods. Several indices are analyzed, namely the average failure frequency or SAIFI, the average outage frequency or SAIDI, the average customer outage frequency or CAIDI and the frequency of interference to customers or CAIFI. The results of the calculation of the reliability index of SRN 02 in 2023 RIA method for SAIFI 7,256 times / year, SAIDI 21,906 hours / year, CAIDI 3,018 hours / year, and CAIFI 0.325 times / year. While the calculation results with the FMEA method for SAIFI 0.016 times / year, SAIDI 0.487 hours / year, CAIDI 29,609 hours / year, and CAIFI 0.033 times / year. The results of the calculation of SAIFI and SAIDI in the RIA method are not normal in accordance with SPLN 68-2: 1986. While the results of SAIFI and SAIDI calculations in the FMEA method are normal in accordance with SPLN 68-2: 1986.PT. PLN (Persero) Unit Pelaksana Pelayanan Pelanggan (UP3) Surakarta menangani layanan pelanggan dan menjaga jaringan distribusi di wilayah yang lebih kecil seperti pada Penyulang SRN 02. Penyulang tersebut melayani sebagian wilayah di Kabupaten Sragen yang meliputi wilayah pertanian, pusat pangan dan sebagian industri. Dengan banyaknya jumlah konsumen pada Penyulang SRN 02, membuat penyaluran listrik yang handal seperti tegangan yang disalurkan sesuai dengan standar dan berkurangnya jumlah pemadaman akibat gangguan. Metode yang digunakan untuk analisis keandalan yaitu metode RIA dan FMEA. Beberapa indeks yang dilakukan analisis yaitu frekuensi kegagalan rata-rata atau SAIFI, frekuensi pemadaman rata-rata atau SAIDI, frekuensi pemadaman rata-rata pelanggan atau CAIDI dan frekuensi gangguan pada pelanggan atau CAIFI. Hasil perhitungan indeks keandalan Penyulang SRN 02 tahun 2023 metode RIA untuk SAIFI 7.256 kali/tahun, SAIDI 21.906 jam/tahun, CAIDI 3.018 jam/tahun, dan CAIFI 0.325 kali/tahun. Sedangkan hasil perhitungan dengan metode FMEA untuk SAIFI 0.016 kali/tahun, SAIDI 0.487 jam/tahun, CAIDI 29.609 jam/tahun, dan CAIFI 0.033 kali/tahun. Hasil perhitungan SAIFI dan SAIDI pada metode RIA tidak normal sesuai dengan SPLN 68-2:1986. Sedangkan hasil perhitungan SAIFI dan SAIDI pada metode FMEA normal sesuai dengan SPLN 68-2:1986.
Measurement and Monitoring System for Agricultural Soil Environmental Parameters Based on the Internet of Things Amir, Ashadi; Suwardoyo, Untung; Pratami Irwan, Irninthya Nanda
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.27691

Abstract

Measurement and monitoring of environmental parameters in agricultural soil are needed to understand the condition of agricultural land. The measurement of agricultural land is mostly still done manually, resulting in low accuracy levels, requiring significant time and effort, and not providing periodic measurement results. The variation in soil characteristics and the limitations of tools also hinder the effectiveness of measurements, making the use of modern technology increasingly important. In this research, a system has been designed to measure environmental parameters of agricultural soil in real-time. The designed system consists of soil moisture sensors and soil pH sensors integrated with the ESP32 microcontroller. The system comprises of two main parts: a sensor node that have functions to acquire sensor data and a web application that displays the measurement results. Initial testing was conducted by calibrating and validating data for each sensor used. Subsequent testing involved sending the measurement data of environmental parameters of agricultural soil to a database for display on an Internet of Things-based application. The test results showed that the agricultural soil was read as wet when the soil moisture sensor readings indicated values of 78–100%. For the pH sensor testing, the average error was found to be 5.67%.Pengukuran dam pemantauan parameter lingkungan tanah pertanian dibutuhkan untuk mengetahui kondisi tanah pertanian. Pengukuran tanah pertanian sebagian besar masih dilakukan secara manual sehingga tingkat akurasi pengukuran masih rendah, membutuhkan waktu dan tenaga yang besar dan tidak mendapatkan hasil pengukuran secara berkala. Variasi karakteristik tanah dan keterbatasan alat juga menghambat efektivitas pengukuran, sehingga penggunaan teknologi modern menjadi semakin penting. Pada penelitian ini dirancang sebuah sistem yang dapat melakukan pengukuran parameter lingkungan tanah pertanian secara real-time. Sistem yang dirancang terdiri dari sensor kelembaban tanah dan sensor pH tanah yang terintegrasi dengan perangkat mikrokontroler ESP32. Sistem terdiri dari dua bagian utama yaitu sensor node yang berfungsi untuk melakukan akuisisi data sensor dan aplikasi web yang berfungsi untuk menampilkan hasil pengukuran. Pengujian awal dilakukan dengan melakukan kalibrasi dan validasi data untuk setiap sensor yang digunakan. Pengujian selanjutnya dilakukan dengan menguji pengiriman data hasil pengukuran parameter lingkungan tanah pertanian ke database untuk ditampilkan pada aplikasi berbasis Internet of Things. Hasil pengujian menunjukkan bahwa tanah pertanian terbaca basah ketika hasil pembacaan sensor kelembaban tanah menunjukkan nilai 78 – 100%. Untuk pengujian sensor pH menghasilkan nilai error dengan rata-rata sebesar 5.67%.
Implementing AES-RSA Hybrid Encryption to Enhance the Security of Salary Slip Distribution Information System Abdullah, Riska Kurniyanto; Azhar, Nur Fajri; Mujahidin, Syamsul; Hoan, Richard Owen
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28737

Abstract

This study aims to enhance security and efficiency in the digital distribution of salary slips within the XYZ Higher Education environment. The proposed method combines hybrid encryption using the Advanced Encryption Standard (AES-128) and Rivest–Shamir–Adleman (RSA) algorithms, as well as integrates Time-Based One-Time Password (TOTP) for two-factor authentication. This approach ensures the confidentiality of sensitive data while minimizing the potential for data leakage or unauthorized access to employee salary information. In its implementation, the system is designed using the Laravel framework and the Scrum software development methodology, enabling an iterative, measurable, and easily adaptable development process. Testing results indicate that the system can distribute salary slips with an average data encryption time of 0.15 milliseconds per slip (using AES-128), and an average AES key decryption time with RSA of 5 milliseconds per operation over 100 test iterations. Furthermore, when two-factor authentication (TOTP) was applied, the rate of unauthorized access attempts dropped to 0% across 50 brute force attack simulation attempts. Thus, the hybrid encryption approach is proven effective in maintaining data integrity, and the integration of TOTP enhances user authentication security. These quantitative findings establish the system as a more measurable reference model for other institutions seeking to manage sensitive data securely, efficiently, and reliably.Penelitian ini bertujuan untuk meningkatkan keamanan dan efisiensi dalam pendistribusian slip gaji secara digital. Metode yang diusulkan yaitu memadukan enkripsi hibrida menggunakan algoritma (Advanced Encryption Standard) AES-128 dan (Rivest–Shamir–Adleman) RSA, serta mengintegrasikan Time-Based One-Time Password (TOTP) sebagai autentikasi dua faktor. Pendekatan ini memastikan kerahasiaan data sensitif, sekaligus meminimalkan potensi kebocoran atau akses tidak sah terhadap informasi gaji karyawan. Dalam implementasinya, sistem dirancang menggunakan kerangka kerja Laravel dan metodologi pengembangan perangkat lunak Scrum, sehingga memungkinkan proses pengembangan yang iteratif, terukur, dan mudah diadaptasi. Hasil pengujian menunjukkan bahwa sistem dapat mendistribusikan slip gaji dengan rata-rata waktu enkripsi data sebesar 0,15 milidetik per slip (menggunakan AES-128) dan waktu dekripsi kunci AES menggunakan RSA rata-rata 5 milidetik per operasi, pada skenario 100 percobaan. Selain itu, saat pengujian autentikasi dua faktor (TOTP) diterapkan, tingkat kegagalan akses tidak sah menurun hingga 0% pada 50 percobaan simulasi serangan bruteforce. Dengan demikian, enkripsi hibrida terbukti efektif dalam menjaga integritas data, dan integrasi TOTP meningkatkan tingkat keamanan autentikasi pengguna. Hasil kuantitatif ini dapat dijadikan sebagai model acuan yang lebih terukur bagi institusi lain yang ingin mengelola data sensitif secara aman, dan andal.
Optimization of K-Means in Disease Clustering of Pregnant Women Using Random Forest Ishak, Rezqiwati; Nurmawanti, Nurmawanti; Bengnga, Amiruddin
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28374

Abstract

Pregnant women's health is an important aspect of the public health system, where grouping disease data can help in risk identification and better treatment planning. However, traditional clustering methods such as K-Means often face challenges in optimal separation between clusters, especially when the attributes used are irrelevant. This study aims to optimize the K-Means method in disease clustering in pregnant women by applying Random Forest-based attribute selection. Of the six available attributes (age, weight, height, gestational age, systole, and diastole), the three main attributes namely systole, diastole, and gestational age were selected based on the Importance Score from Random Forest. The test results showed that the use of these three attributes increased the Silhouette Score by 0.21 (from 0.23 to 0.44), indicating better cluster separation, and lowered the Davies-Bouldin Index by 0.69 (from 1.50 to 0.81), indicating a more compact and well-separated cluster. Clustering visualization using Principal Component Analysis (PCA) supports these results. In addition, the calculation of the Elbow method shows the optimal number of clusters at k=3, reinforcing the conclusion that the selection of the right attributes and the number of clusters improves the quality of clustering. Overall, this study proves that the selection of Random Forest-based features is able to optimize the K-Means method in disease clustering in pregnant women, which is expected to improve the effectiveness of diagnosis and treatment planning.Kesehatan ibu hamil merupakan aspek penting dalam sistem kesehatan masyarakat, di mana pengelompokan data penyakit dapat membantu dalam identifikasi risiko dan perencanaan perawatan yang lebih baik. Namun, metode clustering tradisional seperti K-Means sering kali menghadapi tantangan dalam pemisahan yang optimal antar cluster, terutama ketika atribut yang digunakan tidak relevan. Penelitian ini bertujuan untuk mengoptimalkan metode K-Means dalam clustering penyakit pada ibu hamil dengan menerapkan seleksi atribut berbasis Random Forest. Dari enam atribut yang tersedia (usia, berat badan, tinggi badan, usia kehamilan, sistole, dan diastole), tiga atribut utama yaitu sistole, diastole, dan usia kehamilan dipilih berdasarkan Importance Score dari Random Forest. Hasil pengujian menunjukkan bahwa penggunaan tiga atribut ini meningkatkan Silhouette Score sebesar 0,21 (dari 0,23 menjadi 0,44), yang mengindikasikan pemisahan cluster yang lebih baik, serta menurunkan Davies-Bouldin Index sebesar 0,69 (dari 1,50 menjadi 0,81), menunjukkan cluster yang lebih kompak dan terpisah dengan baik. Visualisasi clustering menggunakan Principal Component Analysis (PCA) mendukung hasil ini. Selain itu, perhitungan metode Elbow menunjukkan jumlah cluster optimal pada k=3, memperkuat kesimpulan bahwa pemilihan atribut dan jumlah cluster yang tepat meningkatkan kualitas clustering. Secara keseluruhan, penelitian ini membuktikan bahwa seleksi fitur berbasis Random Forest mampu mengoptimalkan metode K-Means dalam clustering penyakit pada ibu hamil, yang diharapkan dapat meningkatkan efektivitas diagnosis dan perencanaan perawatan.
Bluetooth-based Heart Rate and Oxygen Saturation Monitoring System HC-05 Based on IoT Afandy, Moh .; Rianto, Muhammad Ikbal; Putra P, Muhammad Farhan
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.27447

Abstract

The purpose of this study was to design a heart rate and oxygen saturation measuring device using the reflectance method that is in accordance with standardized devices and connected to the application via a Bluetooth connection with a reporting system for measurement results that have abnormal heart performance. This study uses a design method with the use of the Max30100 sensor as the main component of this device. Based on the results of testing the sensor components of the device in testing the level of heart performance in the form of heart rate and oxygen saturation with the reflectance method in testing with a comparative device in the form of a fingertip pulse oximeter, an average error percentage of 1.73% and a measurement accuracy of 98.38% was obtained. Testing with a similar comparative device was carried out by the Smart Y68, an average error percentage of 1.73% and a measurement accuracy of 98.27%. As for testing the device with respondents, the results showed that 2/5 of the samples had a healthy heart performance level but required attention to their heart rate, namely samples A2 and A4. The design embedded a location reporting system from the use of the remote system application. The location tracking results obtained an error value of 0.002192% with an average percentage error in latitude of 0.0043% and an average percentage error in longitude of 0.000084%.Tujuan penelitian ini merancang alat pengukur detak jantung dan saturasi oksigen menggunakan metode reflectance yang sesuai dengan alat yang terstandarisasi dan terhubung pada aplikasi melalui koneksi bluetooth dengan adanya sistem pelaporan terhadap hasil pengukuran yang memiliki kinerja jantung yang abnormal. Penelitian ini menggunakan menggunakan metode rancang bangun dengan penggunaan sensor Max30100 sebagai komponen utama pada alat ini. Berdasarkan hasil pengujian komponen sensor alat dalam pengujian tingkat kinerja jantung berupa detak jantung dan saturasi oksigen dengan metode reflectance pada pengujian dengan alat pembanding berupa pulse oxymeter fingertip didapatkan rerata persentase error sebesar 1,73% dan akurasi pengukuran sebesar 98,38%. Pengujian dengan alat pembanding serupa dilakukan Smart Y68 didapatkan rata-rata persetanse error 1,73% dan akurasi pengukuran sebesar 98,27%. Adapun pengujian alat dengan responden didapatkan hasil bahwa dari 2/5 dari sampel memiliki tingkat kinerja jantung yang sehat tapi memerlukan perhatian pada detak jantung, yaitu sampel A2 dan A4. Dalam rancangan disematkan sematkan sistem pelaporan lokasi dari penggunaan aplikasi sistem jarak jauh. Hasil pelacakan lokasi didapatkan nilai error sebesar 0,002192% dengan rata-rata persentase error pada latitude sebesar 0,0043% dan rata-rata persentase error pada longitude sebesar 0,000084%. 
SMART APPLICATION OF CLASS XI MATHEMATICS FORMULAS BASED ON ANDROID Musa, Olha; Ali, Satriadi D; Badaruddin, Muliati
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28480

Abstract

Mastering mathematical formulas is often a challenge for high school students, especially grade XI students who cover complex topics such as algebra, trigonometry, calculus, and matrices. To help students understand and apply these formulas, an Android-based application was designed that provides interactive, easily accessible, and efficient learning facilities. Technological advances allow tasks to be completed more easily and in a shorter time, but increasingly sophisticated AI can still make mistakes in language translation, for example in chatgpt, the author's concern is that if there is an error in making mathematical formulas in completing the grade XI assignment, it will mislead students if they do not pay close attention and lack knowledge in completing the assignment. This study uses a descriptive method, which aims to describe or analyze the results without making broader generalizations. Application development follows the Prototype method, a widely used software development approach that allows for continuous interaction between developers and users, ensuring a clear understanding of system requirements and functionality. The results of the study include software testing using whitebox testing, which focuses on the internal structure and implementation of the application code. At this stage, the tester has complete knowledge of the system architecture and code. In addition, black-box testing is used for functional testing, where the behavior of a system is assessed by analyzing inputs and outputs. In black-box testing, the application is run, and data is entered to verify whether the output matches the expected results. This combination of testing methods ensures the robustness and functionality of the application in supporting 11th grade students with mathematical formulas.
Implementation of Inverse Kinematics System in Robotic Arm for Glass Pick and Place Operations Saputro, Adi Kurniawan; Rahmawati, Diana; Febriana, Iftitah; Ibadillah, Achmad Fiqhi; Ulum, Miftachul; Haryanto, Haryanto
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28169

Abstract

In the modern era, robotic technology becomes essential for increasing efficiency and productivity in various sectors, including industry. One common robot application is the robot arm for pick-and-place tasks. This research aims to develop a robot arm with four degrees of freedom (DoF). The robot arm is designed to place glasses into packaging boxes. This research uses the principle of inverse kinematics and robot arm control software developed using Python programming language. The robot arm will be controlled using proximity sensors to read object distances or locations. The packaging process will be optimized through accurate and efficient movement planning from the conveyor to the cardboard position. Trial scenarios will be conducted to test the robot arm's ability to place glasses into packaging boxes with high accuracy. The trials were conducted 30 times within a 10-minute duration, achieving an accuracy of 99.9% for the x-y coordinates when the robotic arm picked up glasses. The accuracy of the robotic arm in placing glasses into the packaging box was 100% for the x-coordinate and 99.9% for the y-coordinate. The discrepancies in the robot's angular accuracy are attributed to inaccuracies in angle measurement, caused by uncertainties in determining the primary reference point of the stepper motor, which serves as the basis for its movement.Dalam era modernisasi, teknologi robotika menjadi esensial untuk meningkatkan efisiensi dan produktivitas di berbagai sektor, termasuk industri. Salah satu aplikasi yang umum digunakan adalah robot arm dalam tugas pick and place. Penelitian ini bertujuan untuk mengembangkan robot arm dengan empat derajat kebebasan (DoF). Robot arm ini dirancang untuk menempatkan gelas ke dalam kotak pengemas. Penelitian ini menggunakan prinsip inverse kinematics dan software pengendali robot arm yang dikembangkan menggunakan bahasa pemrograman Python. Robot arm akan dikendalikan dengan sensor proximity untuk membaca jarak atau letak objek. Proses pengemasan akan dioptimalkan melalui perencanaan gerakan pengambilan gelas dari konfeyor ke posisi kardus secaara akurat dan efisien. Skenario uji coba akan dilakukan dengan menguji kemampuan robot arm dalam menempatkan gelas ke dalam kotak pengemas dengan akurasi tinggi. Hasil uji coba dilakukan sebanyak 30 kali dalam waktu 10 menit menggunakan robot arm dalam mengambil gelas untuk koordinat x-y sebesar 99,9%. Tingkat akurasi robot arm dalam meletakkan gelas ke dalam kotak pengemas untuk koordinat x sebesar 100% sedangkan untuk koordinat y sebesar 99,9%. Perbedaan dalam keakuratan sudut robot terjadi karena ketidaktepatan dalam pengukuran sudut pada robot. Ketidaktepatan ini disebabkan oleh ketidakpastian dalam menentukan titik referensi utama dari motor stepper, yang berfungsi sebagai acuan untuk pergerakannya.
SMART AFRESH IO: Integrated Smart Air Freshener Dispenser Firdaus, Wildan; Fallahian, Faris Fatha; Wati, Dwi Ana Ratna; Yuwono, Tito
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28457

Abstract

Automatic air freshener dispensers are widely used to enhance comfort in office workrooms, hotel meeting rooms, and hospital service areas. These dispensers are typically placed in elevated locations, making it challenging for users to check battery capacity and air freshener liquid volume. To address this issue, this study presents SMART AFRESH IO, an IoT-integrated automatic air freshener dispenser designed to simplify management tasks such as remote monitoring and control. User surveys and literature studies were conducted to identify essential features of air freshener dispensers. Based on these findings, the dispenser was equipped with battery monitoring and air freshener liquid volume monitoring features. Additional functionalities include spray interval adjustments, automated scheduling, and notifications when the battery or liquid level approaches depletion. The dispenser uses key components such as an ESP32 microcontroller, voltage sensor, load cell, rechargeable battery, and a monitoring and control application. The dispenser was tested in various scenarios to evaluate its performance. Testing results showed that the battery monitoring feature achieved an accuracy of 98.94%, while the liquid volume monitoring feature reached an accuracy of 94.28%. Other features, including spray interval adjustments, automated scheduling, and notifications, functioned as intended. The IoT integration, accuracy, and functionality of the dispenser's features significantly enhance the efficiency of managing air freshener dispensers, particularly in environments with multiple units, such as offices, hotels, and hospitals.Dispenser pengharum ruangan otomatis banyak digunakan untuk menambah kenyamanan seperti di ruang kerja pada perkantoran, ruang pertemuan hotel, dan ruang layanan di rumah sakit. Dispenser ini diletakkan di tempat tinggi sehingga tidak mudah dijangkau. Hal ini menyebabkan kesulitan pengguna dalam melakukan pengecekan kapasitas baterai dan volume cairan pengharum. Oleh karena itu, pada penelitian ini dirancang SMART AFRESH IO, yaitu dispenser pengharum ruangan otomatis yang terintegrasi dengan Internet of Things (IoT). Tujuannya untuk mempermudah pengguna melakukan pengelolaan, yaitu melakukan monitoring dan kendali jarak jauh terhadap dispenser pengharum ruangan. Survei terhadap pengguna dan studi literatur dilakukan untuk mengidentifikasi fitur-fitur penting yang dibutuhkan pengguna dispenser pengharum ruangan. Berdasarkan hasil survei tersebut, dispenser ini dirancang dengan fitur monitoring baterai dan monitoring volume cairan pengharum ruangan. Selain itu, terdapat pengaturan interval waktu penyemprotan, penjadwalan otomatis dan pengiriman notifikasi ketika kondisi baterai dan jumlah cairan pengharum ruangan sudah mendekati habis. Dispenser dirancang dengan komponen utama ESP32, sensor tegangan, load cell, dan baterai isi ulang serta aplikasi monitoring dan kontrol. Pengujian dispenser dilakukan dengan eksperimen penggunaan dispenser pada berbagai skenario. Berdasarkan hasil pengujian, fitur monitoring baterai memiliki tingkat akurasi sebesar 98.94%, fitur monitoring volume cairan pengharum ruangan memiliki tingkat akurasi sebesar 94.28%, sedangkan fitur-fitur lainnya seperti pengaturan interval waktu penyemprotan, penjadwalan otomatis, serta fitur notifikasi sudah dapat berfungsi dengan baik.  Integrasi dengan IoT, akurasi serta fungsional fitur dispenser pengharum ruangan memberikan dampak efektifitas pengelolaan dispenser terutama pada penggunaan unit dalam jumlah banyak seperti di perkantoran, hotel dan rumah sakit.
Optimization of Genetic Algorithm Computation Time with Mutation Probability Variations in Course Scheduling Salman, Rudi; Suprapto, Suprapto; Irfandi, Irfandi; Hutajulu, Olnes Yosefa
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28286

Abstract

Genetic Algorithm (GA) often requires a long computation time due to the complexity of its processes. Therefore, efforts are needed to optimize GA computation time, particularly in scheduling lectures at the Electrical Engineering Study Program of Universitas Negeri Medan, which is the focus of this research. One possible approach is determining the appropriate mutation probability (Pm) value. This study employs the Mutation Probability Variation Method, where Pm is constrained between 0 and 1 and varied from a minimum value of 0.01 (1%) to a maximum value of 0.1 (10%). Simulations were conducted using Matlab R2012b, with constant parameters including a population size of 100 and a crossover probability (Pc) of 0.85. Iterations were performed to evaluate the effect of Pm on computation time and solution performance. The results show that at Pm = 0.06, the Genetic Algorithm achieved the fastest computation time, averaging 0.382 seconds. This study also identifies that GA computation time is significantly influenced by algorithm parameters and the complexity of the problem. By selecting an appropriate Pm, a balance between exploration and exploitation can be achieved, reducing computation time without sacrificing solution quality. This research contributes significantly to the development of more efficient algorithms for optimization applications, particularly in lecture scheduling.Waktu komputasi dalam Algoritma Genetika (AG) sering kali memerlukan waktu yang lama akibat kompleksitas komputasi yang dikerjakan. Oleh karena itu, perlu dilakukan upaya untuk mengoptimalkan waktu komputasi AG, khususnya dalam perencanaan jadwal kuliah di Program Studi Teknik Elektro Universitas Negeri Medan, yang menjadi objek penelitian. Salah satu upaya yang dapat dilakukan adalah dengan menentukan nilai probabilitas mutasi (Pm) yang tepat. Penelitian ini menggunakan Metode Variasi Probabilitas Mutasi, di mana nilai Pm dibatasi antara 0 hingga 1 dan divariasikan dari nilai minimum 0,01 (1%) hingga nilai maksimum 0,1 (10%). Simulasi dilakukan menggunakan perangkat lunak Matlab R2012b, dengan parameter konstan yaitu ukuran populasi 100 dan probabilitas crossover (Pc) 0,85. Proses iterasi dilakukan untuk mengevaluasi pengaruh Pm terhadap waktu komputasi dan performa solusi. Hasil simulasi menunjukkan bahwa pada Pm = 0,06, Algoritma Genetika mencapai waktu komputasi tercepat, yaitu 0,382 detik. Penelitian ini juga mengidentifikasi bahwa waktu komputasi AG sangat dipengaruhi oleh parameter algoritma dan kompleksitas masalah yang dihadapi. Dengan pemilihan Pm yang tepat, keseimbangan antara eksplorasi dan eksploitasi dapat dicapai, sehingga waktu komputasi berkurang tanpa mengorbankan kualitas solusi. Penelitian ini memberikan kontribusi signifikan dalam pengembangan algoritma yang lebih efisien untuk aplikasi optimasi penjadwalan kuliah. 
Power Flow Regulation of PLTS and Genset in Residential Using PLC Zelio Kusmantoro, Adhi; Farikhah, Irna
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28308

Abstract

At this time many homes are in dire need of a source of electricity. In addition, the electricity source comes from fossil fuels, the availability of which is decreasing. One of the abundant renewable energy sources is solar energy. In the study, it was proposed to regulate PLTS and Genset in residential using PLC Zelio. The purpose of this study is to regulate the power flow to residential loads, so that the power flow to the load is not interrupted. The method used is with the stages of identifying solar irradiation, calculating the load, planning PLTS and designing a power regulator. For PLTS planning, it includes solar panels, batteries, battery charge controller or solar charge controllers, and inverters. The number of solar panels needed is 4 from 250 Wp solar panels. When the battery is used with a lower limit energy of state of change (SOC) of 50%, the number of batteries needed is 8. Based on the calculation, the SCC capacity used is 50 A. The study results show the regulation of energy flow with PLTS and Genset sources on residential loads. In addition, the abundant solar energy sources in the city of Semarang can be utilized for power generation using solar panels.Saat ini, banyak rumah tinggal yang sangat membutuhkan sumber listrik, Selain itu sumber listrik berasal dari energi fosil yang ketersediannya semakin berkurang. Salah satu sumber energi terbarukan yang melimpah adalah energi matahari. Dalam penelitian diusulkan pengaturan PLTS dan genset pada rumah tinggal menggunakan PLC Zelio. Tujuan dalam penelitian ini adalah mengatur aliran daya pada beban rumah tinggal, sehingga aliran daya ke beban tidak terputus. Metode yang digunakan dengan tahapan mengidentifikasi iradiasi matahari, menghitung beban, merencanakan PLTS dan mendesain pengatur daya. Untuk perencanaan PLTS meliputi panel surya, baterai, pengatur pengisian baterai atau solar charge controller, dan inverter. Jumlah panel surya yang dibutuhkan sebanyak 4 buah dari panel surya 250 Wp. Ketika baterai digunakan dengan batas bawah energi atau state of change (SOC) 50% maka jumlah baterai yang dibutuhkan sebanyak 8 buah. Berdasarkan perhitungan terlihat kapasitas SCC yang digunakan sebesar 50 A. Hasil studi memperlihatkan pengaturan aliran energi dengan sumber PLTS dan Genset pada beban rumah tinggal. Selain itu sumber energi matahari yang melimpah di kota Semarang dapat dimanfaatkan untuk pembangkit listrik memakai panel surya.

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