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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Sisforma: Journal of Information Systems ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika PROtek : Jurnal Ilmiah Teknik Elektro Sinkron : Jurnal dan Penelitian Teknik Informatika PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Community Engagement and Emergence Journal (CEEJ) International Journal Software Engineering and Computer Science (IJSECS)
Setiawan, Florentinus Budi
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences

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PENERAPAN DETEKSI GARIS PADA AGV MENGGUNAKAN METODE HSV Saputra, Yulius Dani; Setiawan, Florentinus Budi
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 25, No 4 Oktober (2023): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.25.4.172-178

Abstract

Dalamperkembangan teknologisaatini,khususnya disektorindustri,robotdengankecerdasanbuatanmengemban peranpentingdalammeningkatkan efisiensiwaktukerjamanusia.PenelitianinimenciptakansebuahrobotAGVyang dilengkapisistemkecerdasanbuatan,menggunakan kamerasebagaisensorvisualuntukmendeteksi garislintasan sebagaipanduannavigasi.RobotAGVinimemanfaatkanOpenCVuntukpemrosesancitradenganmetodefilterwarna HSV.Metodeinimencakup teknikmorfologi danGaussianbluruntukmengenali garislintasanyangakandilalui. Setelah  prosesidentifikasijalur,  robot  AGV  akan  bergerak  sesuai  jalur  yang  terdeteksioleh  kamera.Pengujian perangkatkeras  dilakukandi  laboratorium,bahwamodenavigasirobotAGV  berdasarkanmetode  HSV  mampu berfungsibaikdanmenghasilkantingkatakurasideteksijaluryangtinggi.
Pattern Recognition on Automated Guided Vehicles Two Wheel Drive (AGV 2WD) Robot for Location Detection Based on Raspberry Pi 4 Model B Setiawan, Florentinus Budi; Muntaha, Ilyas; Pratomo, Leonardus Heru; Riyadi, Slamet
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.11990

Abstract

AGV (Automated Guided Vehicle) equipped with artificial intelligence (AI) is anticipated to boost Indonesia's industrial development. The little computer used to generate this robot's artificial intelligence used mechanical gears similar to those found in an eight-wheeled, two-wheel-drive car (2WD). This article outlines and demonstrates the usage of an AGV-controlled approach to determine a place inside a building by detecting text in different locations throughout the building. The current technique employs the programming languages Python and OpenCV. Optical Character Recognition (OCR) has been tweaked or enhanced for usage with OpenCV. Multiple texts are read using OCR as the principal technique. In this instance, OCR functions at many stages of the process, in addition to being employed for exploring letters and words, word translation, character classification, linguistic analysis, and adaptive character classification. The output text from the system's document processing procedure will likely contain the location or even the position of an AGV robot once the process has concluded. This text is produced from the text that was previously submitted using the camera function. After a thorough search, the AGV robot will go to the next area before returning to its starting point. The method above can be implemented on the AGV lab's hardware, which has a solid basis
Peningkatan Kinerja Switched Reluctance Generator dengan Pergeseran Sudut Penyalaan AMALIA, RIZKY; RIYADI, SLAMET; SETIAWAN, FLORENTINUS BUDI; PRATOMO, LEONARDUS HERU
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 3: Published July 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i3.690

Abstract

ABSTRAKDewasa ini teknologi energi terbarukan biasanya menggunakan mesin listrik sinkron Alternating Current (AC) pada pembangkit listrik tenaga angin. Generator listrik sinkron AC menggunakan brush pada proses eksitasi yang membutuhkan perawatan berkala sehingga rumit jika diaplikasikan pada Pembangkit Listrik Tenaga Angin. Pada penelitian ini generator akan menggunakan mesin Switched Reluctance yang dioperasikan sebagai Switched Reluctance Generator (SRG). Untuk menghasilkan keluaran arus yang optimal, SRG akan dioperasikan dengan mengatur sudut penyalaan fasa menggunakan metode single pulse. Metode pensakelaran ini diatur oleh input capture fasilitas mikrokontrol dsPIC 30F4012. Penelitian ini telah diverifikasi dengan simulasi Simulink MATLAB dan pengujian alat. Hasil pengujian optimal dibuktikan pada sudut penyalaan θon = 40 derajat dan θoff = 170 derajat menghasilkan arus discharging sebesar 7.6 A dengan kecepatan 1647.1 RPM ditandai dengan bentuk gelombang arus yang ideal. Hasil arus discharging yang optimal dapat meningkatkan kinerja SRG, sehingga metode ini dapat diaplikasikan pada pembangkit listrik tenaga angin.Kata kunci: SRG, dsPIC30F4012, sudut penyalaan, single pulse ABSTRACTNowadays, renewable energy technology usually uses AC synchronous electric machines in wind power. AC synchronous generator uses a brush in the excitation process, which requires periodic maintenance so it is complicated if applied to wind power. In this research, the generator will use a Switched Reluctance machine that operated as a SRG. To produce an optimal current, the SRG will be operated by adjusting the ignition angle using the single pulse method. This method is controlled by input capture of the microcontroller dsPIC 30F4012. This research has been verified by simulating Simulink MATLAB and testing device. The optimal test results are proven at the ignition angle θon = 40 degree and θoff = 170 degree produces a discharging current of 7.6 A with a speed of 1647.1 RPM characterized by the ideal current waveform. The optimal discharging current results can improve the performance of the SRG, so this method can be applied to wind power.Keywords: SRG, dsPIC30F4012, the ignition angle, single pulse
Pengoptimalan Kinerja Pengereman Regeneratif Motor BLDC menggunakan Cascaded Boost Converter FIRMANTO, DANIEL RAHADIAN; RIYADI, SLAMET; PRATOMO, LEONARDUS HERU; SETIAWAN, FLORENTINUS BUDI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 2: Published April 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i2.444

Abstract

ABSTRAKMesin Brushless Dircet Current (BLDC) digunakan pada kendaraan listrik karena memiliki torsi yang besar dan memungkinkan untuk pengereman regeneratif. Pengereman regeneratif dirancang agar kendaraan listrik memiliki jarak tempuh yang lebih panjang. Pada saat pengereman, konverter bidirectional dioperasikan menjadi boost rectifier agar energi dapat berpindah ke baterai. Boost rectifier memiliki gain yang rendah, sehingga pengiriman daya ke baterai kurang optimal. Pada penelitian ini ditambahkan chopper kedua yang memiliki gain tinggi agar pengiriman daya lebih optimal. Metode modulasi lebar pulsa yang dibangkitkan mikrokontrol dsPIC30f4012 digunakan untuk mengendalikan saklar (IRFP 460) pada konverter. Verifikasi menggunakan perangkat keras telah dilakukan untuk mendukung penelitian ini. Hasil percobaan pada duty cycle 0,8 dapat dihasilkan arus pada baterai sebesar 0,25 A dan kecepatan berkurang menjadi 663 rpm.Kata kunci: BLDC, Pengereman regeneratif, Boost rectifier, chopper, dsPIC30f4012 ABSTRACTBrushless direct current (BLDC) machine is suitable to be implemented in electric vehicle since it can provide high torque and is capable to do regenerative braking. For electric vehicle applications, the regenerative braking is needed to make such vehicle can travel longer distance. For making the machine current can flow into the battery, the bidirectional converter will be operated as a boost rectifier. The boost rectifier produced a low gain so that the second chopper with a high gain is required. The pulse width modulation (PWM) method was used to control each switch (IRFP 460) using a dsPIC30F4012 microcontroller. A verification with experimental work was done. Based on the result, with 0.8 duty cycle can produced a 0.2 A battery current also and speed reduced to 663 rpm.Keywords: BLDC, Regenerative braking, Boost rectifier, chopper, dsPIC30f4012
Analysis of Website Vulnerabilities Utilizing OWASP on the Enterpreneurship Locker System Pamudji, Andre Kurniawan; Setiawan, Florentinus Budi
SISFORMA Vol 11, No 2: November 2024
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v11i2.13103

Abstract

The government's restrictions on activities during the Covid-19 pandemic resulted in the closure of numerous activities. This has resulted in the closure of numerous businesses, particularly small and medium-sized enterprises, as a result of a lack of customers. Therefore, a new invention was developed in the field of Entrepreneurial Lockers that enables transactions to be conducted without the need for face-to-face interaction and without the use of cash. This innovation entails the development of a website that serves as a digital ordering and payment system. In order to ensure that users feel secure while using the website, it is imperative to assess the website's data security to prevent the occurrence of any unintended events. The OWASP method is employed in this investigation to assess the security of the IoT-based entrepreneurial storage system in order to identify critical security vulnerabilities. The findings indicate that the system has satisfied numerous security standards; however, it necessitates improvement in the areas of access control, framework updates, and logging. This investigation offers suggestions for enhancing the security of data in IoT-based systems.
Pelatihan Pembangkit Listrik Tenaga Surya Jenis Off-Grid di BLK Don Bosco Tambolaka-Sumba Barat Daya: Off-Grid Solar Power Plant Training at BLK Don Bosco Tambolaka-Southwest Sumba Pratomo, Leonardus Heru; Setiawan, Florentinus Budi
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 10 No. 3 (2025): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v10i3.8440

Abstract

The requirement for instructors who have the theoretical and practical skills of a training center is an absolute necessity. Don Bosco Vocational Training Center in Tambolaka, Southwest Sumba is a place to conduct many trainings, one of which is a solar power plant. Don Bosco Vocational Training Center has adequate equipment but the instructors have not been skilled in both theory and practice. Solar power plant training in theory and practice is a desired solution to obtain experience directly. The service aims to train instructors of the Don Bosco Vocational Training Center and the local community who want to know understand and practice directly. This activity is carried out through several stages: theoretical studies, solar panels in series and parallel and irradiance measurements, batteries and how to determine their health, solar charge control, single-phase inverters, hybrid single-phase inverters, protection systems and types of cables and connectors used. Practices are conducted on-site after the theory is comprehended, and off-grid practices are performed with two types: a combined solar charge control inverter and a hybrid inverter and troubleshooting. From this activity the interest of the instructors is very enthusiastic, this can be seen from the first day the instructors have been able to assemble all the equipment properly and function, on the second day it is repeated to ensure the performance of the instructors is correct along with troubleshooting. This success has proven that the Don Bosco Vocational Training is the center of solar power plant training in Southwest Sumba.
Design of Audiosonic Frequency Wave Therapy Tool With Arduino Mega-Based Spectrum Analyzer Monitoring Setiawan, Florentinus Budi; Prasetyo, Daniel Danin; Pratomo, Leonardus Heru
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 1 (2023): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i1.5536

Abstract

As technology develops, more and more devices can produce or record sound waves. There are currently a lot of sound wave generators in use; however, the frequency output range of these generators is highly constrained. This study is being done to help doctors or the general public treat specific illnesses or disorders such as neurological disorders, headaches, and stomach digestion issues. This prototype was created using experimental or lab techniques. by running tests on the variables being utilized. The Arduino Mega 2560 microcontroller is used to operate this prototype. The Arduino Mega 2560 employs the C and C+ programming languages for its code. The Arduino Mega 2560 may be used to modify the keypad's output frequency, amplitude, and data input. This tool is designed to be able to output frequencies of 20 Hz to 20,000 Hz (human sound). In this study, it has an output in the form of frequencies produced from speakers with test frequencies, namely 200 Hz, 10 kHz, and 17 kHz
Fruit Ripeness Classification System Using Convolutional Neural Network (CNN) Method Setiawan, Florentinus Budi; Adipradana, Christophorus Bramantya; Pratomo, Leonardus Heru
PROtek : Jurnal Ilmiah Teknik Elektro Vol 10, No 1 (2023): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v10i1.5549

Abstract

The increasing consumer demand in the fruit industry has also demanded that various sectors of the fruit processing industry be able to adapt to this situation. The demand for good quality and fresh fruit requires technological advances and supporting systems that can be used in the fruit processing industry to produce the best quality fruit. Referring to this, this study aims to detect the type and maturity of fruit using machine learning with the CNN (Convolutional Neural Network) method using the function of a camera that is integrated with the program algorithm. This research is a refinement of previous research that has been made at the university by increasing the ability to read objects based on color with different methods. In this programming language, Python also requires several additional libraries to carry out the object detection process, namely by using the cvzone library as the main library. This study shows that the detection of fruit and ripeness using the CNN method was successful in detecting the type and maturity of the fruit. In the design and trial of this research, it can run well according to the algorithm created by the researcher. The success rate and accuracy of the detection of the type and maturity of this fruit reach 90%.
PENGENDALIAN AGV MENGGUNAKAN RASPBERRY PI DAN MOTOR DC DENGAN SISTEM PENGENALAN LINTASAN MENGGUNAKAN KAMERA DAN SENSOR INFRAMERAH Marulitua, Edwin; Setiawan, Florentinus Budi
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 27, No 2 April (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.27.2.70-76

Abstract

Automated Guided Viehicle (AGV) adalah robot otonom yang dirancang untuk memindahkan barang secara otomatis dalam lingkungan industry. Penelitian ini bertujuan untuk merancang AGV yang menggunakan motor DC sebagai penggerak utama serta dilengkapi dengan kamera dan sensor inframerah untuk mendeteksi lintasan dan menghindari rintangan. Raspberry pi digunakan sebegai unit pengontrol utama untuk memproses data dari sensor inframerah dan kamera, sehingga memungkinkan navigasi robot secara mandiri dan efisien. Hasil pengujian menunjukan bahwa AGV ini mampu bergerak dengan akurasi tinggi, dan berperan penting dalam meningkatkan efisiensi operasional di sektro manufaktur, terutama dalam hal penghematan waktu dan tenaga kerja.
12-Lead Electrocardiograph Calibrator Ma'rufi, Mahmud; Harsoyo, Imam Tri; Setiawan, Florentinus Budi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4726

Abstract

The research develops and evaluates a 12-lead Electrocardiograph (ECG) calibrator using ESP32 microcontroller technology to enhance calibration precision in clinical environments. Healthcare facilities need accurate ECG signal recording through portable calibration devices that maintain ≤ 5% error tolerance. Previous calibrator designs lack unified integration of complete 12-lead functionality, extensive BPM ranges, and variable amplitude control within single portable units. The methodology incorporates hardware-software development, voltage measurements across three assessment points (charger module, ESP32 output, Nextion LCD), BPM validation at four operational settings, and waveform analysis (normal, square) with amplitude evaluation across multiple sensitivities. Experimental results demonstrate an average total error of 1.2% for BPM and amplitude measurements, maintaining voltage stability within ± 5% tolerance limits. Performance analysis validates device reliability for ECG calibration applications, showing optimal performance with square waveform configurations. The ESP32-based calibrator proves technically viable and clinically safe, providing cost-effective, high-precision alternatives to existing solutions. Future development opportunities include triangular waveform integration, Wi-Fi connectivity for remote operation, and rapid calibration initiation features.
Co-Authors Adipradana, Christophorus Bramantya FIRMANTO, DANIEL RAHADIAN Harsoyo, Imam Tri Leonardus Heru Pratomo Ma'rufi, Mahmud Marulitua, Edwin Muntaha, Ilyas Pamudji, Andre Kurniawan Prasetyo, Daniel Danin Rizky Amalia Saputra, Yulius Dani Siahaan, Yan Estomihi Slamet Riyadi