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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Journal of Information Technology and Computer Engineering Jurnal Hilirisasi IPTEKS (JHI) Journal of Robotics and Control (JRC) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Andalas Journal of Electrical and Electronic Engineering Technology Jurnal Andalas: Rekayasa dan Penerapan Teknologi Kreativitas Pada Pengabdian Masyarakat (Krepa)

Rusydi, Muhammad Ilhamdi

Universitas Andalas

Author-ID : 2458200

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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Optimasi Pengendali PID pada Pesawat Autopilot Berbasiskan Algoritma Genetika Rusydi, Muhammad Ilhamdi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 5, No 2: Juli 2016
Publisher : Jurusan Teknik Elektro Universitas Andalas

Nowadays, technology counts automation as one of the considerable features on it. The ability of machine to work independently become very important, like in aircraft industry. Aircrafts which able to decide their own path are called autopilot. In this research, the control system of pesawat was designed to keep it fly on the reference of high based on the pilot demands. Using the transfer function of aircraft, PID controller was designed based on genetic algorithm (PID-GA). The performance of PID-GA was compared to the PID which was tuned by Ziegler-Nichlos. The result showed that the chosen PID-GA which the threshold, generation and population are 10, 30, 50 performed better performance than PID-ZN. The parameter of proportional, integral and derivate controller are 9,66, 9,15 and 9.06. The specification of theÂ system performance based on PID-GA were 0.55 second of rise time, 5.3 second of rise time. This result were better than the PID-ZN results. The system performance based on PID-ZN 0.732 second of rise time and 19.1 second of settling time..Keywords : Autopilot, Genetic Algorithm, PIDAbstrakâ€”Teknologi pada saat sekarang ini telah menyentuh sisi otomatisasi yang handal. Kemampuan mesin untuk bekerja secara mandiri menjadi suatu hal yang sangat penting dewasa ini, begitu juga pada industri pesawat. Pesawat yang dapat menentukan lintasan terbangnya sendiri disebutkan juga dengan autopilot. Pada penelitian ini telah dikembangkan sistem pengendalian pesawat yang dapat menjaga ketinggian terbangnya sesuai dengan yang diinginkan pilot. Dengan menggunakan fungsi alih dari sistem pesawat, maka pengendali PID dirancang berdasarkan metoda algoritma genetika atau PID-GA. Performa kendali PID-GA ini ternyata jauh lebih baik jika dibandingkan dengan metoda pengendali PID-Ziegler Nichlos (PID-ZN). Metoda pengendali PID-GA yang dipilih bekerja pada nilai batas=10, banyak generasi=30 dan populasi sebesar 50. Konstanta proporsional, integral dan derivatif yang dihasilkan adalah 9,66; 9,15 dan 9,06. Dengan kriteria tersebut, waktu naik sistem diperbaiki dari 0,732 detik pada PID-ZN menjadi 0,55 detik pada PID-GA. Sistem juga lebih cepat stabil, dimana pada PID-ZN sistem stabil setelah 19,1 detik sedangkan pada PID-GA sistem sudah stabil dalam jangka waktu 5,3 detik. Hasil ini memperlihatkan betapa kendali PID-GA bekerja sangat baik pada sistem pesawat autopilot.Kata Kunci : Autopilot, Algoritma Genetika, PID.

Combination of Flex Sensor and Electromyography for Hybrid Control Robot Muhammad Ilhamdi Rusydi; Muhammad Ismail Opera; Andrivo Rusydi; Minoru Sasaki
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 5: October 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i5.7028

The alternative control methods of robot are very important to solved problems for people with special needs. In this research, a robot arm from the elbow to hand is designed based on human right arm. This robot robot is controlled by human left arm. The positions of flex sensors are studied to recognize the flexion-extension elbow, supination-pronation forearm, flexion-extension wrist and radial-ulnar wrist.The hand of robot has two function grasping and realeasing object. This robot has four joints and six flex sensors are attached to human left arm. Electromyography signals from face muscle contraction are used to classify grasping and releasing hand. The results show that the flex sensor accuracy is 3.54° with standard error is approximately 0.040 V. Seven operators completely tasks to take and release objects at three different locations: perpendicular to the robot, left-front and right-front of the robot. The average times to finish each task are 15.7 ssecond, 17.6 second and 17.1 second. This robot control system works in a real time function. This control method can substitute the right hand function to do taking and releasing object tasks.

Recognition of sign language hand gestures using leap motion sensor based on threshold and ANN models Muhammad Ilhamdi Rusydi; Syafii Syafii; Rizka Hadelina; Elmiyasna Kimin; Agung W. Setiawan; Andrivo Rusydi
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Hand gesture recognition is a topic that is still investigated by many scientists for numerous useful aspects. This research investigated hand gestures for sign language number zero to nine. The hand gesture recognition was based on finger direction patterns. The finger directions were detected by a Leap Motion Controller. Finger direction pattern modeling was based on two methods: threshold and artificial neural network. Threshold model 1 contained 15 rules based on the range of finger directions on each axis. Threshold model 2 was developed from model 1 based on the behavior of finger movements when the subject performed hand gestures. The ANN model of the system was designed with four neurons at the output layer, 15 neurons at the input layer, seven neurons at the first hidden layer and 5 neurons at the second hidden layer. The artificial neural network used the logsig as the activation function. The result shows that the first threshold model has the lowest accuracy because the rule is too complicated and rigid. The threshold model 2 can improve the threshold model, but it still needs development to reach better accuracy. The ANN model gave the best result among the developed model with 98% accuracy. LMC produces useful biometric data for hand gesture recognition.

Optimasi Pengendali PID pada Pesawat Autopilot Berbasiskan Algoritma Genetika Muhammad Ilhamdi Rusydi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 5 No 2: Juli 2016
Publisher : Jurusan Teknik Elektro Universitas Andalas

Nowadays, technology counts automation as one of the considerable features on it. The ability of machine to work independently become very important, like in aircraft industry. Aircrafts which able to decide their own path are called autopilot. In this research, the control system of pesawat was designed to keep it fly on the reference of high based on the pilot demands. Using the transfer function of aircraft, PID controller was designed based on genetic algorithm (PID-GA). The performance of PID-GA was compared to the PID which was tuned by Ziegler-Nichlos. The result showed that the chosen PID-GA which the threshold, generation and population are 10, 30, 50 performed better performance than PID-ZN. The parameter of proportional, integral and derivate controller are 9,66, 9,15 and 9.06. The specification of the system performance based on PID-GA were 0.55 second of rise time, 5.3 second of rise time. This result were better than the PID-ZN results. The system performance based on PID-ZN 0.732 second of rise time and 19.1 second of settling time..Keywords : Autopilot, Genetic Algorithm, PIDAbstrak—Teknologi pada saat sekarang ini telah menyentuh sisi otomatisasi yang handal. Kemampuan mesin untuk bekerja secara mandiri menjadi suatu hal yang sangat penting dewasa ini, begitu juga pada industri pesawat. Pesawat yang dapat menentukan lintasan terbangnya sendiri disebutkan juga dengan autopilot. Pada penelitian ini telah dikembangkan sistem pengendalian pesawat yang dapat menjaga ketinggian terbangnya sesuai dengan yang diinginkan pilot. Dengan menggunakan fungsi alih dari sistem pesawat, maka pengendali PID dirancang berdasarkan metoda algoritma genetika atau PID-GA. Performa kendali PID-GA ini ternyata jauh lebih baik jika dibandingkan dengan metoda pengendali PID-Ziegler Nichlos (PID-ZN). Metoda pengendali PID-GA yang dipilih bekerja pada nilai batas=10, banyak generasi=30 dan populasi sebesar 50. Konstanta proporsional, integral dan derivatif yang dihasilkan adalah 9,66; 9,15 dan 9,06. Dengan kriteria tersebut, waktu naik sistem diperbaiki dari 0,732 detik pada PID-ZN menjadi 0,55 detik pada PID-GA. Sistem juga lebih cepat stabil, dimana pada PID-ZN sistem stabil setelah 19,1 detik sedangkan pada PID-GA sistem sudah stabil dalam jangka waktu 5,3 detik. Hasil ini memperlihatkan betapa kendali PID-GA bekerja sangat baik pada sistem pesawat autopilot.Kata Kunci : Autopilot, Algoritma Genetika, PID.

PENINGKATAN KETERTARIKAN DAN PENGETAHUAN SISWA/I DALAM MEMPELAJARI BAM MELALUI PENGEMBANGAN MEDIA AJAR INTERAKTIF Muhammad Ilhamdi Rusydi; Pepi Putri Utami; Muhammad Fikri; Agung Wibowo Ardiyanta Surbakti; Pratama Halim; Aulia Rahman
Jurnal Hilirisasi IPTEKS Vol 2 No 4.b (2019)
Publisher : LPPM Universitas Andalas

Media ajar memiliki peranan dalam peningkatan prestasi belajar siswa. SDN No. 14 Pauh, Padang, mengalami permasalahan dalam pelaksanaan kelas Budaya Alam Minangkabau (BAM). Mata pelajaran yang merupakan muatan lokal daerah Sumatera Barat ini tidak hanya kekurangan referensi namun juga kesulitan dalam mengembangkan media ajar. Hal tersebut berdampak terhadap ketertarikan siswa/i di dalam kelas. Tulisan ini menjelaskan pengaruh media ajar interaktif yang dirancang terhadap ketertarikan siswa/i dalam mengikuti pelajaran BAM. Sampel sebanyak 22 siswa kelas 4. Materi ajar yang dibahas adalah pakaian adat, randai, silek, rumah gadang dan seni ukir Minangkabau. Kegiatan dilaksanakan pada semester genap tahun ajaran 2018/2019. Terdapat dua media ajar utama yang dikembangkan, yaitu laman www.sibuyuang.com dan museum mini yang disebut Pojok Minangkabau. Laman website memiliki beberapa fitur selain materi ajar berupa teks, yaitu video interaktif, permainan edukatif dan buku pop-up ber-teknologi Augmented Reality. Pojok Minangkabau menawarkan konsep museum mini dengan beberapa koleksi khas minangkabau seperti ukiran, peralatan musik dan pakaian. Implementasi media ajar telah dilakukan sebanyak enam kali. Empat pertemuan pertama digunakan untuk mengevaluasi ketertarikan siswa menggunakan strategi hand signal sedangkan dua pertemuan terakhir berhubungan dengan pengetahuan siswa berdasarkan ujian lisan dan ujian tertulis. Uji T digunakan untuk mengevaluasi hipotesis dengan tingkat keyakinan 5%. Dari empat kali pertemuan pertama, didapatkan ketertarikan siswa/i setelah menggunakan media ajar interaktif lebih besar daripada sebelum menggunakan. Hal yang sama juga ditemukan pada evaluasi terhadap pengetahuan siswa pada dua pertemuan terakhir. Hasil tersebut memperlihatkan bahwa media ajar yang dikembangkan telah berhasil meningkatkan ketertarikan dan pengetahuan siswa/i dalam mempelajari pelajaran BAM.

Sistem Pelacakan Lokasi Pelaporan Petugas Lapangan Irigasi Provinsi Sumatera Barat Berbasis GPS Smartphone dan WebGIS Budi Sunaryo; Muhammad Ilhamdi Rusydi; Jack Febrian Rusdi; Rifda Suriani; Syafril Daus
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 2 (2019): Agustus 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Tracking the location from the side of the report and the position of the reporter in real-time is very much needed in validating the performance of irrigation field officers. The location tracking system represented in smartphone applications, and digital maps are a practical solution for supervisors in monitoring the performance of field officers. The Global Positioning System (GPS) module on Android smartphones and the Web Geographic Information System (WebGIS) are supporting technologies for the system. Each location coordinate on the report will be sent automatically to the MySQL database server, then each coordinate location of the field officer will be sent to the Firebase Realtime Database, coupled with a database synchronization system to handle reports offline when officers are in areas that do not have internet access. Database synchronization plays a role in handling report data stored in the SQLite database on an Android smartphone with a MySQL database server. This system is useful for supervisors in controlling and monitoring the performance of irrigation field officers and can be used as material for decision making. After being implemented in several Irrigation Areas in West Sumatra Province by 113 users consisting of 13 supervisors and 100 field officers, the supervisors can track the location of the report, follow the position of field officers in real-time and send reports offline.

Perancangan Platform Pengaduan Perundungan Berlandasarkan Bukti menggunakan Metode Agile Muhammad Ilhamdi Rusydi; Yoan Winata; Dhiny Yurichy Putri; Budi Agung Santoso; Nurul Azizah Dhuha; Muhammad Khalish; Ikhwan Arief; Hermawan Nugroho
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 21 No 2 (2022)
Publisher : LPPM Universitas Bumigora

Penelitian ini bertujuan untuk membuat sebuah platform pengaduan perundungan berlandaskan bukti yang terhubung dengan institusi terkait. Orang ketiga dapat menggunakan platform ini untuk melaporkan kejadian perundungan. Platform ini juga dapat digunakan untuk mengetahui kesehatan mental penggunanya. Platform memiliki fitur konsultasi dalam jaringan melalui fitur chat serta artikel edukasi psikologi dengan berbasis Progressive Web App. Laporan dapat dilakukan oleh korban ataupun pihak ketiga. Laporan perundungan akan masuk ke sekolah korban dan diproses melalui admin sekolah. Pelapor dapat memantau status dari kasusnya. Sekolah dapat merekap laporan kasus dalam rentang waktu tertentu. Pengujian telah dilakukan bersama siswa SMP dan SMA, guru BK, mahasiswa, bagian kemahasiswaan perguruan tinggi dan masyarakat umum. Pengujian dilakukan dengan peran admin institusi, admin pengaduan dan pengguna dengan total responden sebanyak 81 orang. Pengujian dilakukan terkait fungsional menggunakan blackbox test dan uji performa dari platform berdasarkan beberapa aspek. Berdasarkan pengujian yang telah dilakukan, platform ini sudah berfungsi dengan baik. Nilai rata-rata pengujian untuk semua fungsi adalah 351 dari maksimal 400 poin. Pengujian memberikan nilai rentang kelompok tinggi terhadap performa platform karena sudah sesuai dengan kebutuhan pengguna dan sudah memiliki tampilan yang mudah dimengerti, nyaman digunakan. Platform ini bisa menjadi alternatif solusi untuk menyelesaikan kasus perundungan terutama di sekitar kita.

Estimation of the Shoulder Joint Angle using Brainwaves Minoru Sasaki; Takaaki Iida; Joseph Muguro; Waweru Njeri; Pringgo Widyo Laksono; Muhammad Syaiful Amri bin Suhaimi; Muhammad Ilhamdi Rusydi
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 1 (2021): May 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

This paper presents the angle of the shoulder joint as basic research for developing a machine interface using EEG. The raw EEG voltage signals and power density spectrum of the voltage value were used as the learning feature. Hebbian learning was used on a multilayer perceptron network for pattern classification for the estimation of joint angles 0o, 90o and 180o of the shoulder joint. Experimental results showed that it was possible to correctly classify up to 63.3% of motion using voltage values of the raw EEG signal with the neural network. Further, with selected electrodes and power density spectrum features, accuracy rose to 93.3% with more stable motion estimation.

Digital Stethoscope to Examine Patients According to Technical Guidelines of Covid-19 Muhammad Ilhamdi Rusydi; M. Farhan; Yoan Winata; Dhiny Yurichy Putri; Muhammad Dani Anwar; Daelita Berliana H.
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 1 No. 2 (2021): November 2021
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Health professionals have to use Personal Protective Equipment (PPE) that could cover the entire body to prevent the transmission of the SARS-CoV-2 virus while examining patients. The current stethoscope is not compatible with the need of health professionals. Therefore, this project aims to create a digital stethoscope that can fulfill the requirement of health professionals to examine patients according to health service guidance in Covid-19 era. Three main objectives in designing the stethoscope are to meet the needs of health professionals, easy and convenient to use. The designed stethoscope has an amplifier circuit with 100 gain and a bandpass filter with 20 Hz and 700 Hz for low and high cut-off frequencies. It is also able to calculate the heart rate and displays it on the stethoscope screen. The stethoscope has a record function that lets the users replay sound as much as they need for the analysis. This digital stethoscope has function tests, performance tests and user satisfaction tests. Seven health professionals who are well-experienced in handling Covid-19 patients auscultate and provide an assessment of the three objectives design. The test results showed that this stethoscope satisfies the health professional’s requirements to examine the patient, grade 4.69 of 5. Health professionals also give a perfect rating for the objective of being easy to use. This stethoscope is the right choice for examining patients according to health service guidance in the Covid-19 era.

Autonomous Movement Control of Coaxial Mobile Robot based on Aspect Ratio of Human Face for Public Relation Activity Using Stereo Thermal Camera Muhammad Ilhamdi Rusydi; Aulia Novira; Takayuki Nakagome; Joseph Muguro; Rio Nakajima; Waweru Njeri; Kojiro Matsushita; Minoru Sasaki
Journal of Robotics and Control (JRC) Vol 3, No 3 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i3.14750

In recent years, robots that recognize people around them and provide guidance, information, and monitoring have been attracting attention. The mainstream of conventional human recognition technology is the method using a camera or laser range finder. However, it is difficult to recognize with a camera due to fluctuations in lighting 1), and it is often affected by the recognition environment such as misrecognition 2) with a person's leg and a chair's leg with a laser range finder. Therefore, we propose a human recognition method using a thermal camera that can visualize human heat. This study aims to realize human-following autonomous movement based on human recognition. In addition, the distance from the robot to the person is measured with a stereo thermal camera that uses two thermal cameras. A coaxial two-wheeled robot that is compact and capable of super-credit turning is used as a mobile robot. Finally, we conduct an autonomous movement experiment of a coaxial mobile robot based on human recognition by combining these. We performed human-following experiments on a coaxial two-wheeled robot based on human recognition using a stereo thermal camera and confirmed that it moves appropriately to the location where the recognized person is in multiple use cases (scenarios). However, the accuracy of distance measurement by stereo vision is inferior to that of laser measurement. It is necessary to improve it in the case of movement that requires more accuracy.

Co-Authors . Darwison Agung W. Setiawan Agung Wibowo Ardiyanta Surbakti Andi Pawawoi Andrivo Rusydi Andrivo Rusydi Anton Hidayat Ariadi Hazmi Arrya Anandika Aulia Novira Aulia Rahman Avelia Fairuz Faadhilah Azmi, Luxfy Roya Budi Agung Santoso Budi Sunaryo Chatarina Umbul Wahyuni Daelita Berliana H. Devianda Ananta Sandri Dhiny Yurichy Putri Dhiny Yurichy Putri Elmiyasna Kimin Febdian Rusydi Hafidzah Putri Rahmadani Haznam Putra Hermawan Nugroho Ikhwan Arief Jack Febrian Rusdi Joseph Muguro Joseph Muguro Khairunnisa Lizzikrillah Kojiro Matsushita Laksono, Heru Dibyo M. Farhan Minoru Sasaki Minoru Sasaki Minoru Sasaki Muhammad Dani Anwar muhammad fikri Muhammad Fikri Muhammad Hadi Sucipto Muhammad Imran Hamid Muhammad Ismail Opera Muhammad Khalish Muhammad Naufalun Nabil Muhammad Syaiful Amri bin Suhaimi Muhammad Syaiful Amri bin Suhaimi Mumuh Muharram Mutia Firza Nadia Alfitri Nurul Azizah Dhuha Oluwarotimi Williams Samuel Pepi Putri Utami Pepi Putri Utami Pratama Halim Prima Fithri Pringgo Widyo Laksono Rahdian Hadi Farhan Rahmadi Kurnia Ramadhani, Salisa 'Asyarina Ridho Tullah Syahputra Rifda Suriani Riko Chandra Riko Nofendra Riko Nofendra Rio Nakajima Rizka Hadelina Robbi Noberlam Dasyura Roza Susanti Roza Susanti Sunaryo, Budi Syafii . Syafril Daus Syamsul Huda Syarkawi Syamsuddin Takaaki Iida Takayuki Nakagome Taufiqurrahman Vinoza Shalsabila Waweru Njeri Waweru Njeri Yoan Winata Yoan Winata Zaini Zaini Zaini, Zaini

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