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All Journal Jurnal Teknik ITS IPTEK Journal of Proceedings Series Journal of Robotics and Control (JRC) JAREE (Journal on Advanced Research in Electrical Engineering) Electrician : Jurnal Rekayasa dan Teknologi Elektro Sewagati
Yusuf Bilfaqih
Institut Teknologi Sepuluh Nopember
Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Sistem Informasi Manajemen Beasiswa ITS Berbasis Sistem Pendukung Keputusan Menggunakan Metode Analytical Hierachy Process Dalu Nuzlul Kirom; Rusdhianto Effendie abdul Kadier; Yusuf Bilfaqih
Jurnal Teknik ITS Vol 1, No 1 (2012)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (314.607 KB) | DOI: 10.12962/j23373539.v1i1.1258

Abstract

Proses seleksi beasiswa di ITS Surabaya selama ini dilakukan oleh bagian kemahasiswaan ITS yang dibantu oleh bagian kemahasiswaan tingkat fakultas. Dalam proses seleksi tersebut, pihak kemahasiswaan dibantu oleh sistem informasi beasiswa yang berisi database penerima beasiswa di ITS. Proses seleksi yang dilakukan oleh kemahasiswaan adalah dengan memilah-milah berkas yang dikumpulkan oleh pendaftar beasiswa sembari mengecek database terkait status beasiswa dari mahasiswa bersangkutan. Dengan jumlah pendaftar yang bisa mencapai ribuan mahasiswa, maka proses seleksi tersebut menyita banyak waktu karyawan dan hasilnyapun kurang valid. Untuk itulah dibutuhkan suatu sistem pendukung keputusan untuk memberi pertimbangan pihak kemahasiswaan dalam menyeleksi beasiswa. Dalam tugas akhir ini akan didesain suatu sistem informasi manajemen beasiswa (Simba) berbasis sistem pendukung keputusan dengan metode  Analytical Hierarchy Process. Sistem pendukung keputusan pada Simba ini akan mengurutkan prioritas penerima beasiswa sesuai dengan kriteria yang ditentukan pengambil keputusan. Pengambil keputusan dapat memberikan pandangan dan memasukkan penilaian berdasarkan pengalaman mereka. Dengan demikian, sistem informasi manajemen beasiswa berbasis sistem pendukung keputusan ini mampu membantu pihak pengelola beasiswa ITS untuk menentukan alternatif terbaik penerima beasiswa sesuai kondisi yang diharapkan. Sistem ini juga membantu pihak pengelola beasiswa dan mahasiswa ITS dalam proses pendaftaran dan penginformasian beasiswa.
Optimalisasi Pembangkitan Listrik pada PLTG di PT. Indonesia Power UP Grati Pasuruan Hanif Ryanas Putra; Yusuf Bilfaqih
Jurnal Teknik ITS Vol 6, No 2 (2017)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (616.204 KB) | DOI: 10.12962/j23373539.v6i2.25356

Abstract

Pada PLTG PT. Indonesia Power Unit Pembangkitan (UP) Grati, daya terbangkit yang tercatat sebesar 3x100MW. Pada Pembangkit Listrik Tenaga Uap (PLTG) umumnya menggunakan bahan baku utama yaitu gas alam sebagai pendorong turbin gas dengan tekanan tinggi. Dengan begitu maka dimanfaatkan untuk dapat menggerakkan turbin hingga listrik pun terbangkit. Untuk meningkatkan efisiensi penggunaan gas alam pada pembangkit PT. Indonesia Power UP Grati ini diperlukan adanya metode untuk meningkatkan efiensinya dengan menimalkan gas alam yang digunakan dengan daya yang terbangkit mendekati daya yang tercatat yaitu maksimal sebesar 100MW untuk masing-masing unitnya. Penelitian dilakukan tentang penerapan algoritma PSO (Particle Swarm Optimization) pada identifikasi pemodelan sistem dan penerapan kontroler LQG (Linear Quadratic Gaussian) pada proses optimalisasi sistem tersebut. Hasil dari pengujian dapat dilihat bahwa penerapan algoritma PSO dapat menghasilkan nilai fitness model yang lebih baik yaitu sebesar 0,6901 atau 69,01%. Dan juga hasil LQG dapat meningkatkan efisiensi pada sistem ini hingga mencapai 45%.
Desain dan Implementasi Smart Home Konsumsi Daya Rendah Menggunakan Algoritma Optimisasi Cuckoo-Earthworm Miftahul Falahi Alfafa; Yusuf Bilfaqih
Jurnal Teknik ITS Vol 9, No 1 (2020)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373539.v9i1.50459

Abstract

Penggunaan energi merupakan hal yang paling penting pada sistem smart home, karena dengan energi yang kecil maka sistem smart home akan semakin efisien dan juga ekonomis. Konsumsi energi pada sistem smart home dioptimalkan dengan teknik penjadwalan peralatan secara real time berdasarkan harga listrik pada saat itu dan persentase kenyamanan pengguna dimana konsumsi daya setiap peralatan diatur untuk melakukan penghematan. Melalui pendekatan ini pengguna dapat menentukan tingkat kenyamanan secara fleksibel untuk melakukan penghematan tanpa mengurangi kenyamanan yang diperoleh dari setiap peralatan rumah tangga. Algoritma Cuckoo-Earthworm digunakan untuk proses penjadwalan peralatan secara real time. Sistem smart home dilengkapi dengan Raspberry Pi3 sebagai HUB controller dan Smart Plug yang digunakan untuk monitor energi yang digunakan pada setiap peralatan dan juga sebagai switch untuk melakukan penjadwalan. Komunikasi antara HUB controller dan setiap device menggunakan jaringan Z-Wave. Untuk user interface menggunakan Home Assistant. Pada implemetasi sistem smart home dengan daya rendah menggunakan algoritma Cuckoo-Eartworm kali ini didapatkan pengurangan biaya mencapai 41.39% dan energi mencapai 32.52% dari peralatan yang tidak terjadwal pada tingkat kenyamanan terendah.
The Design of E-Learning (share.its.ac.id) Course “Sistem Pengendalian Otomatis” to Support Effective Learning Outcomes Syamsul Arifin; Aulia Siti Aisjah; Nurlita Gamayanti; Tutug Dhanardono; Yaumar Yaumar; Yusuf Bilfaqih
IPTEK Journal of Proceedings Series No 1 (2015): 1st International Seminar on Science and Technology (ISST) 2015
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (167.568 KB) | DOI: 10.12962/j23546026.y2015i1.1129

Abstract

Open and integrated online learning is learning that promotes the use of learning content from colleges that have more resources for other universities in Indonesia. Subjects – “Sistem Pengendalian Otomatis” (SPO) 4 credits, one of subject in Engineering Physics Department, has been tested for blended learning with partner universities, between ITS with ITN Malang, ITT Bandung. Currently e-learning use by Sriwijaya University, UNSRAT-Menado and MUSAMUS-Merauke. Learning object designed in 8 Sub Achievement Learning - SCP, in cognitive, psychomotor and affective, in the activities: independent study, groups study in guided by lecturer, synchronous and asynchronous learning. Affective abilities measured by activity chats, forums, management capabilities to upload time of task, and the ability of communicate in writing. Psychomotor ability is measured by skill in the design of control in the mini plant or object and skill in programming. The skill have recorded by video camera and uploaded in the share.its.ac.id. Student followers of SPO course showed cognitive abilities, and 92% of them have met the achievement standards that have been set.
Obstacle Tracking on Unmanned Surface Vehicle Using Kalman Filter Rusdhianto Effendi Abdul Kadir; Mochammad Sahal; Yusuf Bilfaqih; Zulkifli Hidayat; Gaung Jagad
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 2 (2021): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i2.157

Abstract

Unmanned Surface Vehicles (USV) are self-driving vehicles that operate on the water surface. In order to be operated autonomously, USV has a guidance system designed for path planning to reach its destination. The ability to detect obstacles in its paths is one of the important factors to plan a new path in order to avoid obstacles and reach its destination optimally. This research designed an obstacle tracking system which integrates USV perception sensors such as camera and Light Detection and Ranging (LiDaR) to gain information of the obstacle’s relative position in the surrounding environment to the ship. To improve the relative position estimation of the obstacles to the ship, Kalman filter is applied to reduce the measurements noises. The results of the system design are simulated using MATLAB software so that results can be analyzed to see the performance of the system design. Results obtained using the Kalman filter show 12% noise reduction. Keywords: filter kalman, obstacle tracking, unmanned surface vehicle.
Optimization Approach of the Vehicle Routing Problem with Packing Constraints Using Genetic Algorithm Nurlita Gamayanti; Yusuf Bilfaqih; Rusdhianto EAK; M Yasya BU
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 1, No 2 (2017): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v1.i2.27

Abstract

Vehicle Routing Problem is an issue in item delivery from depot to its customers using several vehicles which have limited capacity with a purpose to minimize transportation cost. The packing constraints exist because the vehicles which are usually used in item delivery have rectangular-box shaped container. Also, the items are commonly in shape of rectangular-box. Therefore, packing or loading method is needed so that containers could load all of the items without causing damage and could ease unloading process. The purpose of this final project is to develop a model and algorithm using metaheuristics method, especially genetics algorithm in order to minimize total delivery distance. A hybrid genetics algorithm and bottom-left fill algorithm also take place to solve the packing process. This algorithm delivered average solution 0.08% worse than ant colony optimization, but had 2.93% better solution than tabu search. Keywords: Routing, Optimization, Genetics Algorithm, Packing, Bottom-Left Fill
Construction Design, Modelling, and Parameter Computation Outer Rotor Induction Motor Faizal Ramadhan Putra; Eka Iskandar; Rusdhianto Abdul Kadir; Ari Santoso; Yusuf Bilfaqih; Mohamad Abdul Hady
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 5, No 2 (2021): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v5i2.174

Abstract

In this paper, we will discuss the construction design of an outer rotor induction motor that can be applied to an electric car that is installed inside the car's wheels. In designing a motor, it is necessary to pay attention to the motor parameters, both mechanical parameters, and electrical parameters. These parameters will be calculated using software and designed in such a way as to get the parameters that are as effective and efficient as possible for the use of electric cars. After obtaining the best design, a comparison of the simulation results with mathematical modeling will be seen. In this research project, we can get a design with an initial torque of 64 Nm for a speed limit of 25 km/hour. Keywords: construction, induction, in-wheel, motor, outer rotor.
Smart Traffic Light Using YOLO Based Camera with Deep Reinforcement Learning Algorithm Mochammad Sahal; Zulkifli Hidayat; Yusuf Bilfaqih; Mohamad Abdul Hady; Yosua Marthin Hawila Tampubolon
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 7, No 1 (2023): January
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v7i1.335

Abstract

Congestion is a common problem that often occurs in big cities. Congestion causes a lot of losses, such as in terms of time, economy, to the psychology of road users. One of the causes of congestion is traffic lights that are not adaptive to the dynamics of traffic flow. This final project tries to solve this problem using a Reinforcement Learning approach combined with a SUMO (Simulation of Urban Mobility) traffic simulator. The data used is the real video data of the KD Cowek intersection, Surabaya. The video data is processed using the YOLO algorithm which will detect and count vehicles. The output of the video processing will be used in Reinforcement Learning. The result of Reinforcement Learning is that the total length of the traffic queue at 06.00 – 09.00 has an average of 106 vehicles.
Perancangan Jaringan Saraf Tiruan Untuk Menyelesaikan Kinematika Balik Manipulator Robot Denso 6-DoF Zulkifli Hidayat; Mohammad Sahal; Yusuf Bilfaqih; Rusdhianto Effendi Abdul Kadir; Daniel Cristover Sirait
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 17 No. 2 (2023)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v17n2.2442

Abstract

Pada artikel ini, dibahas tentang kinematika balik (inverse kinematics) untuk manipulator robot denso 6-DoF. Kinematika balik adalah metode menentukan konfigurasi sendi dengan mengetahui posisi end-effector yang diinginkan. Kesulitan dari kinematika balik adalah penyelesaiannya yang tidak tunggal. Untuk satu titik end-effector, ada banyak konfigurasi sendi yang mungkin sehingga tidak ada penyelesaian yang unik. Untuk menyelesaikan kinematika balik ini, diusulkan penyelesaian menggunakan jaringan saraf tiruan untuk mendapatkan salah satu penyelesaian berupa posisi dan orientasi dari end-effector.
Cooperative Formation and Obstacle Avoidance Control for Multi-UAV Based on Guidance Route and Artificial Potential Field Sahal, Mochammad; Maynad, Vincentius Charles; Bilfaqih, Yusuf
Journal of Robotics and Control (JRC) Vol 5, No 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.23577

Abstract

Research on cooperative control of multi-UAV systems has gained significant attention in the flight control field, with a particular focus on formation control and obstacle avoidance due to their complexity and importance. This paper introduces an approach to a group of quadcopter control by integrating fuzzy controller, guidance route, and Artificial Potential Field (APF) methods. The quadcopter dynamic model, featuring six degrees of freedom, is controlled using a fuzzy state feedback controller in its inner loop. From the outer loop, the formation-making is guided by an easy-to-use and versatile guidance route approach while obstacle avoidance is tackled using the optimal APF method. There are two avoidance strategies that can be compared and analyzed, called "total avoidance" and "minimal avoidance", both individually and as a "combined" strategy. Simulations in various environments with different obstacle sizes show that all control algorithms can accomplish the tasks effectively. Both strategies have their own strength in terms of path length and formation maintenance. A formation performance index, which is calculated based on the difference between the desired position and the actual position of each quadcopter, is used to quantify the effectiveness of the method. A smaller value means better formation maintenance. The total avoidance strategy achieved an average index of 0.8000 and the minimal avoidance strategy reached 1.2227. These metrics highlight the trade-offs of each strategy in maintaining optimal formation. These findings offer valuable insights for the development of more robust multi-UAV systems, with potential applications in autonomous delivery services, surveillance, and environmental monitoring.
Co-Authors Abdul Kadir, Rusdhianto Effendi Abdullah Alkaff Ari Santoso Aulia Siti Aisjah Dalu Nuzlul Kirom Daniel Cristover Sirait Eka Iskandar Faizal Ramadhan Putra Gaung Jagad Hady, Mohamad Abdul Hanif Ryanas Putra M Yasya BU Maynad, Vincentius Charles Miftahul Falahi Alfafa Mileanasari, Fadhilah Mochammad Sahal Mohammad Sahal Nurlita Gamayanti Rusdhianto Abdul Kadir Rusdhianto EAK Rusdhianto Effendi Abdul Kadir Rusdhianto Effendi Abdul Kadir Rusdhianto Effendie abdul Kadier Sahal, Mochamad Sahal, Mochammad Sahal, Mohammad Said, Zaidan Adenin Sirait, Daniel Cristover Syamsul Arifin Tutug Dhanardono Yaumar Yaumar, Yaumar Yosua Marthin Hawila Tampubolon Zulkifli Hidayat Zulkifli Hidayat Zulkifli Hidayat