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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Informatika dan Teknik Elektro Terapan ELINVO (Electronics, Informatics, and Vocational Education) TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal Teknik Elektro dan Komputer TRIAC Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Jurnal Teknik Elektro Uniba (JTE Uniba) Journal Zetroem Jurnal Listrik, Instrumentasi, dan Elektronika Terapan JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Jurnal Abdi Masyarakat Indonesia Journal of Robotics, Automation, and Electronics Engineering Control Systems and Optimization Letters
Ardy Seto Priambodo
Universitas Negeri Yogyakarta
Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Public Health

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Alat Peringatan Pelanggaran Physical Distancing Berbasis Raspberry Pi sebagai Upaya Preventif Penyebaran Covid-19 pada Era New Normal Hilal Fahrul Hamam; Irwan Ardiansyah; Burhan Dwi Ardiandyah; Dira Tri Puspita; Nancy Febriani Taek; Ardy Seto Priambodo
ZETROEM Vol 3 No 2 (2021): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v3i2.1494

Abstract

The Covid-19 pandemic that hit Indonesia forced the Indonesian population to be ready with a new normal order. With this condition, it is hoped that the community can implement changes to the new order of life by implementing health protocols. But nowadays, people often violate health protocols, physical distancing, which is one form of prevention in the new normal era. The innovation of a Raspberry Pi-based tool designed to produce warnings for physical distancing violations is expected to minimize violations. The camera installed on the system will help detect the distance between two or more people and will give a warning to immediately carry out physical distancing if the measured distance is less than 1 meter. The purpose of writing this research is to design a system and concept of "Preventive Efforts for the Spread of Covid-19 Through a Raspberry Pi-Based Distance Monitoring System". The method of writing this article uses the concept of a literature study involving several studies and scientific findings in the form of secondary data from research results that have been published in scientific journals. From the results of the tests that have been carried out, it is known that the tool has succeeded in detecting physical distancing violations between two or more people. After the tool can detect a violation, the tool emits a warning sound to inform the violation that has occurred. From the result, it can be concluded that this system proposed can run well as expected.
Development of Javanese Speech Emotion Database (Java-SED) Fatchul Arifin; Ardy Seto Priambodo; Aris Nasuha; Anggun Winursito; Teddy Surya Gunawan
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 3: September 2022
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v10i3.3888

Abstract

Javanese is one of the most widely spoken regional languages in Indonesia, alongside other regional languages. Emotions can be recognized in a variety of ways, including facial expression, behavior, and speech. The recognition of emotions through speech is a straightforward process, but the outcomes are quite significant. Currently, there is no database for identifying emotions in Javanese speech. This paper aims to describe the creation of a Javanese emotional speech database. Actors from the Kamasetra UNY community who are accustomed to performing in dramatic roles participated in the recording. The location where recordings are made is free of interference and noise. The actors of Kamasetra have simulated six types of emotions, including happy, sad, fear, angry, neutral, and surprised. The cast consists of ten people between the ages of 20 and 30, including five men and five women. Both humans (30 Javanese-speaking verifiers ranging in age from 17 to 50) and a machine learning system (30 Javanese-speaking verifiers with ages between 17 and 50) verify the database that has been created. The verification results indicate that the database can be used for Javanese emotion recognition. The developed database is offered as open-source and is freely available to the research community at this link https://beais-uny.id/dataset/
Studi Komparasi Simulasi Sistem Kendali PID Pada Matlab, GNU Octave, SciLab dan Spyder Ardy Seto Priambodo
Elinvo (Electronics, Informatics, and Vocational Education) Vol 4, No 2 (2019): November 2019
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1.543 KB) | DOI: 10.21831/elinvo.v4i2.28347

Abstract

Dalam penelitian ini perbandingan antara perangkat lunak MATLAB, GNU Octave, Scilab dan Spyder akan diamati. Proses yang menjadi obyek dalam penelitian ini adalah sistem kendali PID yang digunakan untuk mengendalikan plant yang berupa model motor DC. Fungsi alih dari motor DC merupakan model dari motor DC yang diturunkan dari hukum newton ke-2 dan hukum kirchoff tegangan. Simulasi dilakukan pada perangkat lunak menggunakan 2 cara yaitu kode program dan block programming. Jumlah baris kode program yang terpendek adalah MATLAB dengan 17 baris dan yang terpanjang adalah Spyder dengan 20 baris kode program. Untuk block programming hanya dapat dilakukan pada MATLAB dan Scilab karena perangkat lunak yang lain tidak memiliki fitur tersebut. Waktu eksekusi kode program diamati padan masing-masing perangkat lunak dan Spyder adalah yang tercepat dengan waktu 0.0682 detik. Hasil plot dari masing-masing perangkat lunak tidak banyak memiliki perbedaan. MATLAB adalah perangkat lunak yang terbaik dengan fiturnya namun diperlukan biaya lisensi dalam menggunakannya.
Pengendalian RPM pada Motor DC Encoder dengan PID Controller berbasis Simulink Tsany Ammar Rasyid; Sheisya Rhieyanetta Divanny; Rizqi Dwi Arifuddin; Hasna Annisa Hazmi; Ardy Seto Priambodo; Kevin Raffie Saputra
Jurnal Teknik Elektro Uniba (JTE UNIBA) Vol. 8 No. 2 (2024): JTE UNIBA (Jurnal Teknik Elektro Uniba)
Publisher : Lembaga Penelitian Universitas Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36277/jteuniba.v8i2.249

Abstract

Penelitian ini fokus pada pengembangan serta implementasi sistem kontrol kecepatan motor DC dengan memanfaatkan pendekatan PID (Proportional Integral Derivative) dalam bahasa pemrograman C++. Motor DC memiliki peran krusial dalam berbagai aplikasi di bidang teknik dan otomatis. Pengaturan kecepatan yang akurat pada motor DC menjadi kunci utama untuk mencapai hasil yang diharapkan dalam berbagai aplikasi. Dalam penelitian ini, kami mengintegrasikan penggunaan sensor encoder untuk mengukur putaran per menit (RPM) motor DC dan menerapkan algoritma PID menggunakan bahasa pemrograman C++ untuk mengatur kecepatan motor. Penerapan metode PID memungkinkan kendali yang akurat dan responsif terhadap perubahan kecepatan yang diinginkan, dengan tujuan mencapai nilai referensi tertentu. Hasil percobaan menunjukkan bahwa sistem ini mampu memberikan kendali yang efektif dan menghasilkan respon yang konsisten terhadap perubahan kecepatan, sesuai dengan nilai RPM yang diinginkan. Penelitian ini berkontribusi pada pemahaman yang lebih dalam tentang penerapan PID dalam mengendalikan motor DC dan memperluas pengetahuan terkait bahasa pemrograman C++, yang dapat menjadi dasar untuk praktis penerapan dalam berbagai bidang yang memerlukan pengendalian yang canggih pada motor DC.
SISTEM KENDALI FUZZY UNTUK ROBOT MOBILE: STUDI KASUS PELACAKAN OBJEK BERGERAK MENGGUNAKAN SIMULASI WEBOTS Fredy Tri Hartadi; Bagus Arya Wicaksana; Hendro Saputro; Ardy Seto Priambodo
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4608

Abstract

Dalam era perkembangan teknologi robotika yang semakin maju, implementasi sistem kendali menjadi sangat penting dalam berbagai aplikasi, termasuk logistik, pengawasan, dan layanan kesehatan. Penelitian ini mengembangkan dan menguji sistem pengendalian robot menggunakan fuzzy logic untuk mendeteksi dan mengikuti objek bergerak berwarna biru dalam lingkungan dinamis. Penggunaan fuzzy logic dipilih karena kelebihannya dalam menangani ketidakpastian dan dinamika lingkungan yang kompleks dibandingkan dengan metode pengendalian tradisional seperti PID. Robot Khepera IV digunakan sebagai platform, dan simulasi dilakukan menggunakan software Webots. Sistem ini mengintegrasikan sensor kamera untuk pendeteksian objek dan sensor inframerah untuk penghindaran rintangan. Hasil percobaan menunjukkan bahwa sistem kendali fuzzy logic yang dikembangkan mampu mengikuti objek dengan baik, menunjukkan waktu rise time yang cepat bernilai 0,384 detik, dan tidak mengalami overshoot. Penelitian ini membuktikan bahwa fuzzy logic efektif dalam pengendalian robot untuk pelacakan objek berwarna, dengan hasil terbaik menunjukkan rata-rata error yang rendah yaitu -1,687 dan respon kendali yang responsif terhadap perubahan posisi objek.
Implementasi Integrasi Computer Vision dan Kendali PID untuk Robot Line Follower dengan Kendali Kecepatan Dinamis Priambodo, Ardy Seto; Nasuha, Aris; Dhewa, Oktaf Agni
Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Vol. 12 No. 1 (2024): TELEKONTRAN vol 12 no 1 April 2024
Publisher : Program Studi Teknik Elektro, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/telekontran.v12i1.13323

Abstract

This research aims to develop a dynamic speed control system for line follower robots by integrating computer vision technology and PID control. The main challenge in controlling line follower robots is maintaining stability and speed while navigating various types of turns and complex paths. This study proposes the use of computer vision to detect paths more accurately and responsively, and PID control to dynamically adjust the robot's speed based on detected errors. The research methods involve simulating the e-puck robot in a Webots environment, developing algorithms for black line detection and error calculation, and designing the PID control system. The test results show that in Arena 1, the completion time with fixed base speed is 58.08 seconds, while with dynamic base speed it is 50.386 seconds, indicating a 13.3% reduction in completion time. In Arena 2, the completion time with fixed base speed is 71.584 seconds, while with dynamic base speed it is 66.624 seconds, indicating a 6.9% reduction in completion time. Thus, this control system is more effective in keeping the robot on the desired path, reducing deviations and improving path tracking accuracy.
Advanced Multimodal Emotion Recognition for Javanese Language Using Deep Learning Arifin, Fatchul; Nasuha, Aris; Priambodo, Ardy Seto; Winursito, Anggun; Gunawan, Teddy Surya
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 3: September 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i3.5662

Abstract

This research develops a robust emotion recognition system for the Javanese language using multimodal audio and video datasets, addressing the limited advancements in emotion recognition specific to this language. Three models were explored to enhance emotional feature extraction: the SpectrogramImage Model (Model 1), which converts audio inputs into spectrogram images and integrates them with facial images for emotion labeling; the Convolutional-MFCC Model (Model 2), which leverages convolutional techniques for image processing and Mel-frequency cepstral coefficients for audio; and the Multimodal Feature-Extraction Model (Model 3), which independently processes video and audio features before integrating them for emotion recognition. Comparative analysis shows that the Multimodal Feature-Extraction Model achieves the highest accuracy of 93%, surpassing the Convolutional-MFCC Model at 85% and the Spectrogram-Image Model at 71%. These findings demonstrate that effective multimodal integration, mainly through separate feature extraction, significantly enhances emotion recognition accuracy. This research improves communication systems and offers deeper insights into Javanese emotional expressions, with potential applications in human-computer interaction, healthcare, and cultural studies. Additionally, it contributes to the advancement of sophisticated emotion recognition technologies.
PERBANDINGAN KONTROL LOGIKA FUZZY DAN PID PADA ROBOT E-PUCK WALL FOLLOWING MENGGUNAKAN WEBOTS Pratama, Yusril Ali Riza; Saputra, Bayu Wahyu; Nazmudin, Tiara Afifah; Priambodo, Ardy Seto
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.6040

Abstract

Penelitian ini mengeksplorasi penerapan Fuzzy Logic Control (FLC) pada robot E-Puck untuk tugas mengikuti dinding atau wall following menggunakan simulasi Webots. serta membandingkan efisiensi antara sistem FLC dan Proportional-Integral-Derivative (PID). Robot E-Puck dilengkapi dengan sensor proximity inframerah untuk mendeteksi dan mempertahankan jarak yang stabil dari dinding. Logika Fuzzy dipilih karena kemampuannya dalam menangani ketidakpastian dan membuat keputusan adaptif dalam lingkungan yang dinamis. Proses kontrol FLC meliputi fuzzifikasi data sensor, inferensi menggunakan aturan IF-THEN, dan defuzzifikasi untuk menghasilkan sinyal kontrol crisp yang mengatur motor robot. Hasil pengujian menunjukkan bahwa FLC menghasilkan gerakan yang lebih stabil dibandingkan dengan kontrol PID, dengan nilai error rata-rata sebesar -3.32 untuk FLC dibandingkan dengan -13.39 untuk PID. Namun kontrol FLC memiliki nilai waktu puncak 3.71 detik sedangkan PID memiliki nilai waktu puncak 2.24 yang berarti kontrol PID lebih responsif dibandingkan dengan kontrol FLC. Secara keseluruhan, FLC lebih efektif dalam mengontrol gerakan robot dalam tugas wall following, sedangkan kontrol PID lebih efektif dalam mendapatkan respons yang lebih cepat.
PENERAPAN KINEMATIKA TERBALIK PADA ROBOT LENGAN LIMA SENDI (5 DOF) DENGAN CITRA DIGITAL Tanzil Huda, Fahril Maula; Riza Pratama, Yusril Ali; Saputra, Fauzan Ra'is; Hadiazzaka, Rizanurfadli; Priambodo, Ardy Seto
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5564

Abstract

Perkembangan teknologi yang semakin maju memberi dampak pada sistem kendali robot, salah satunya ialah robot lengan. Sistem kendali yang sering digunakan pada lengan robot adalah kinematika terbalik dan kinematika maju. Penelitian ini membahas penerapan kinematika terbalik pada robot lengan dengan lima derajat kebebasan (5 DOF) yang diintegrasikan dengan teknologi citra digital untuk meningkatkan presisi dan efisiensi operasional. Deteksi objek dan warna dilakukan melalui pemrosesan citra yang digunakan sebagai masukan untuk algoritma kinematika terbalik. Dengan metode tersebut didapatkan keluaran berupa derajat untuk masing-masing aktuator. Berdasarkan hasil pengujian yang dilakukan kombinasi kinematika terbalik dan citra digital masih memiliki error yang cukup besar, seperti pada sumbu x dengan error tertingginya pada 4.11, sumbu y dengan error tertingginya 13 dan sumbu z dengan error 26.74. Meskipun nilai error masih cukup besar tetapi metode ini berhasil mengendalikan robot lengan 5-DOF.
Benchmark Analysis of Sampling Methods for RRT Path Planning Pratama, Gilang Nugraha Putu; Dhewa, Oktaf Agni; Priambodo, Ardy Seto; Baktiar, Faris Yusuf; Prasetyo, Rizky Hidayat; Jati, Mentari Putri; Hidayatulloh, Indra
Control Systems and Optimization Letters Vol 2, No 2 (2024)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/csol.v2i2.132

Abstract

Path planning is a crucial aspect of mobile robot navigation, ensuring that robots can safely travel from their initial position to the goal. In real-world applications, path planning is essential for autonomous vehicles, drones, warehouse robots, and rescue robots to navigate complex environments efficiently and safely. One effective method for path planning is the Rapidly-exploring Random Tree (RRT) algorithm, which is particularly practical in maze-like environments. The performance of RRT depends on the sampling methods used to explore the maze. Sampling methods are important because they determine how the algorithm explores the search space, affecting the efficiency and success of finding an optimal path. Poor sampling can lead to suboptimal or infeasible paths. In this study, we investigate different sampling strategies for RRT, specifically focusing on uniform sampling, Gaussian sampling, and the Motion Planning Network (MPNet) sampling. MPNet leverages a neural network trained on past environments, allowing it to predict promising regions of the search space quickly, unlike traditional methods like RRT that rely on random exploration without prior knowledge. This makes MPNet much faster and more efficient, especially in complex or high-dimensional spaces. Through a benchmarking analysis, we compare these methods in terms of their effectiveness in generating feasible paths. The results indicate that while all three methods are effective, MPNet sampling outperforms uniform and Gaussian sampling, particularly in terms of path length. The mean path length generated, based on a sample size of 30, is 13.115 meters for MPNet, which is shorter compared to uniform and Gaussian sampling, which are 18.27 meters and 18.088 meters, respectively. These findings highlight the potential to enhance path planning algorithms using learning-based sampling methods.
Co-Authors Adryady, Daffa Fauzan Andi Prasetyo Andi Prasetyo Anggun Winursito Aris Nasuha Bagus Arya Wicaksana Burhan Dwi Ardiandyah Daffa Fauzan Adryady Dira Tri Puspita Faris Yusuf Baktiar Fatchul Arifin Fredy Tri Hartadi Gilang Nugraha Putu Pratama Gunawan, Teddy Surya Hadiazzaka, Rizanurfadli Hafizal Perspicarhanggasidhi Shatyaziamawan Hakim, Taufiqul Hartadi, Fredy Tri Hasna Annisa Hazmi Hendro Saputro Hendro Saputro Hilal Fahrul Hamam Huda, Fahril Maula Tanzil Indra Hidayatulloh Irwan Ardiansyah Kevin Raffie Saputra Mentari Putri Jati Nancy Febriani Taek Nazmudin, Tiara Afifah Nilam Andi Safitri Nugraha, Zaki Nugroho, Damianus Cahyo Widi Nurlita, Merllya Penta Oktaf Agni Dhewa Pratama, Yusril Ali Riza Rahman Maulana Jundika Rahmat, Fajri Saputra Riza Pratama, Yusril Ali Rizky Hidayat Prasetyo Rizqi Dwi Arifuddin Saputra, Bayu Wahyu Saputra, Fauzan Ra'is Saputra, Fauzan Rais Septian Rahman Hakim Shatyaziamawan, Hafizal Perspicarhanggasidhi Sheisya Rhieyanetta Divanny Silalahi, Sahat Ramses Simsay Tanzil Huda, Fahril Maula Teddy Surya Gunawan Tri Hadi Karyono Tsany Ammar Rasyid Wicaksana, Bagus Arya