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All Journal TEKNIK Transmisi: Jurnal Ilmiah Teknik Elektro ELKHA : Jurnal Teknik Elektro Sinergi Jurnal Teknologi Elektro Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Journal of Information Technology and Computer Science (JOINTECS) Conference on Innovation and Application of Science and Technology (CIASTECH) JOURNAL OF SCIENCE AND APPLIED ENGINEERING JAST : Jurnal Aplikasi Sains dan Teknologi Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS Jambura Journal of Electrical and Electronics Engineering Journal of Robotics and Control (JRC) JASEE Journal of Application and Science on Electrical Engineering JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Ilmiah Teknik Elektro Prosidia Widya Saintek MDP Student Conference

Priyandoko Gigih

Program Studi S1 Teknik Elektro, Fakultas Teknik, Universitas Widyagama Malang

Author-ID : 4380427

Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Social Sciences Transportation Other

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DEVELOPMENT OF ELECTRIC DISCHARGE MACHINING (EDM) USING SOLENOID ACTUATOR FOR EDUCATIONAL PURPOSE Kushendarsyah Saptaji; Arnaz Asa Sholeh; Gigih Priyandoko; Ignatius Budi Hadisujoto
SINERGI Vol 25, No 3 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2021.3.005

The increasing number of materials with variation in properties, especially hard-to-cut, leads to the need for an advanced machining method to process such material. Electric Discharge Machining (EDM) is one of the advanced machining methods widely used for hard-to-cut alloys. The EDM process uses an electrode as the conductor of electrical current to erode the metal alloys and is supported by other components. Due to EDM's high cost and high energy consumption, developing a low-cost EDM and simpler EDM setup is necessary, especially for educational purposes in laboratory activity. However, the EDM design and setup required to produce the desired “spark” have always been a challenge for researchers and manufacturers. In this research, a small-scale EDM setup was built. A solenoid actuator is used to generate simple mechanical movement. The movement is used to control the gap between the workpiece and the electrode to produce a spark. The solenoid actuator is used because of its low cost and simple mechanism. The proposed EDM setup is successfully fabricated and works appropriately by generating sparks and a hole cavity during the process. There are six cavity holes produced in mild steel workpiece during the experiments with various parameters such as current (5A, 7A, and 10A) and frequency (10 Hz and 20 Hz). The varied parameter shows that the higher current and lower frequency removed more materials. In contrast, the higher frequency produced a better quality of the cavity hole. However, the lack of flushing quality on the material debris during the process results in the formation of excess metals around the edge of the hole.

DIAGNOSIS OF INDUCTION MOTOR BEARING DEFECT USING DISCRETE WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORK Gigih Priyandoko; Istiadi Istiadi; Diky Siswanto; Dedy Usman Effendi; Eska Riski Naufal
SINERGI Vol 25, No 1 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2021.1.005

Induction motor is electromechanical equipment that is widely used in various industrial applications. The research paper presents the detection of the defect to three-phase induction motor bearing using discrete wavelet transforms and artificial neural networks to detect whether or not the motor is damaged. An experimental test rig was made to obtain data on healthy phase currents or damaged bearings on the induction motor using the motor current signature analysis (MCSA) method. Several mother-level wavelets are chosen on the wavelet method from the obtained current signal. The feature of the wavelet results is used as an input of the Artificial Neural Network to classify the condition of the induction motor. The results showed that the system could provide an accurate diagnosis of the condition of the induction motor.

NON-DESTRUCTIVE LEAK DETECTION IN GALVANIZED IRON PIPE USING NONLINEAR ACOUSTIC MODULATION METHOD Gigih Priyandoko
SINERGI Vol 22, No 1 (2018)
Publisher : Universitas Mercu Buana

Non-destructive testing is a wide group of analysis techniques used in science and industry to evaluate the properties of a structure without causing damage to it. The main objective of this project is to carry out experiment to detect leakage in pipeline using nonlinear acoustic modulation method. The nonlinear acoustic modulation approach with low frequency excitation and high frequency acoustic wave is used to reveal modulations in the presence of leak. The pipe used in this experiment was galvanized iron pipe. The experiment is started with the experiment of undamaged specimen and followed by the experiment of damaged specimen with manually applied leak. The results obtained are being observed and the difference between the specimen without leak and with leak can be distinguished. The distance of the leak and the distance of the outlet detected is nearly accurate to the exact location which is leak at 4.0 m and outlet at 6.0 m. Therefore, the results demonstrate that leakage can be detected using nonlinear acoustic modulation, and proved the objective of distinguish the difference between the results of specimen without leak and with leak has succeeded. The damage detection process can be eased with the knowledge on the signal features.

PLASTIC PIPE DEFECT DETECTION USING NONLINEAR ACOUSTIC MODULATION Gigih Priyandoko; Tan Siew Fun
SINERGI Vol 19, No 1 (2015)
Publisher : Universitas Mercu Buana

This project discuss about the defect detection of plastic pipe by using nonlinear acoustic wave modulation method. Nonlinaer acoustic modulations are investigated for fatigue crack detection. It is a sensitive method for damage detection and it is based on the propagation of high frequency acoustic waves in plastic pipe with low frequency excitation. The plastic pipe is excited simultaneously with a slow amplitude modulated vibration pumping wave and a constant amplitude probing wave. The frequency of both the excitation signals coincides with the resonances of the plastic pipe. An actuator is used for frequencies generation while sensor is used for the frequencies detection. Besides that, a PVP pipe is used as the specimen as it is commonly used for the conveyance of liquid in many fields. The results obtained are being observed and the difference between uncrack specimen and cracked specimen can be distinguished.

HUMAN FOLLOWING ON ROS FRAMEWORK A MOBILE ROBOT Gigih Priyandoko; Choi Kah Wei; Muhammad Sobirin Hendriyawan Achmad
SINERGI Vol 22, No 2 (2018)
Publisher : Universitas Mercu Buana

Service mobile robot is playing a more critical role in today's society as more people such as a disabled person or the elderly are in need of mobile robot assistance. An autonomous person following ability shows great importance to the overall role of service mobile robot in assisting human. The objective of this paper focuses on developing a robot follow a person. The robot is equipped with the necessary sensors such as a Microsoft Kinect sensor and a Hokuyo laser sensor. Four suitable tracking methods are introduced in this project which is implemented and tested on the person following algorithm. The tracking methods implemented are face detection, leg detection, color detection and person blob detection. All of the algorithms implementations in this project is performed using Robot Operating System (ROS). The result showed that the mobile robot could track and follow the target person based on the person movement.

Developing adjustable stiffness for smart material of magnetorheological elastomer to diminish vibration Gigih Priyandoko; Purbo Suwandono; Muhammad Ilman Nur Sasongko; Ubaidillah Ubaidillah; Sigit Tri Wicaksono
SINERGI Vol 28, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.1.016

Many vibration isolators, such as passive vehicle mounting devices, have an inflexible stiffness. This article presents the development of a smart material vibration isolator based on magnetorheological elastomer (MRE), which has adjustable stiffness to minimize unwanted vibrations. The objective of this research is to first create a design for the vibration isolator, and then simulate a magnetic circuit. The Finite Element Method Magnetics (FEMM) software was employed to simulate the effectiveness of the electromagnetic circuit in generating a magnetic field through the vibration isolator by employing MRE samples. Pure iron was chosen as the material for the housing of the vibration isolator test rig. To attain an optimal magnetic field, an inventive design of the magnetic circuit, including examination of the wire type, size, and coil turn number, along with the housing material of the test rig, was performed. The study analyzed the performance of the MRE vibration isolator concerning different current inputs in the coil. The results indicate that the stiffness value of the MRE-based isolator system can be more effectively modified by increasing the current inputs. Therefore, a larger current input leads to a greater change in stiffness.

Co-Authors Abu Bakar, Afarulrazi Bin Adya Hermawati Agatha Korina Intaningtyas Anggarin Anggarin Agus Tugas Sujianto Ahmad Desma Syahputra Ahmad Rusli Wahyu Setiawan Aji Suraji Alvin Dio Nugraha Ananda Setia Wardana Andreas, Alfrino Ardiansyah Setiawan Arifin, Muhamad Arifin Prastyono Arnaz Asa Sholeh Aviv Yuniar Rahman Biaz Surya Prakasa bin Abdullah, Khairul Annuar Bisa, Fransiskus Budaya, Gilang Anggit Choi Kah Wei Dedi Usman Effendy Dedy Usman Effendi Dedy Usman Effendy Dettha Restya Utami Diana, Nor Farisha Diky Siswanto Diky Siswanto Siswanto Effendi, Dedy Usman Efistein Naga Elko Prayoga Elroy, Sebastian Jody Eska Riski Naufal Fachrudin Hunaini Fajarianto, Otto Fanani, Muhammad Ifan Faqih Rofii Farid Yanuar Fauzi, Riza Ferena Ayu Novita Puspitarini Fikri Dio Zakaria Firman Nurdiyansyah Frida Dwi Anggraeni Gatot Soebiyakto Ghaniy Raharja Grace Januaria Taolin Dirma Hadisujoto, Ignatius Budi Hermawan Suprayogi Hunaini, Fachrudin Husein Romadhoni Ignatius Budi Hadisujoto Irani, Andryas Doni Istiadi Istiadi Istiadi Ivana Tri Mulyani Boboy Kurniawan, Tedi Kushendarsyah Saptaji Laily Ainur Rofiqoh Lilik Hardiana Louis Ola Koten M.S. Hendriyawan Achmad Ming, Tan Yee Mohamad Mukhsim Mohammad Mukhsim Mohd Rahim, Mohd Shafry Mohd Soffie, Saffirna Mokhammad Saddam Yusuf Muchamad Lukman Fauzi Muhamad Rusydi Roslan Muhammad Ilman Nur Sasongko Mukhsim, Mohammad Muktiyanto, Robby Nada Zuhriyah Naga, Efistein Nanda Budiarta Sabela Nanda, Nanda Bagus Setiawan Naufal, Eska Riski Naufal, Eska Rizqi Octaviani Mustikawaty Ponciano Hipolito Pradana, Muhammad Rangga Adi Purbo Suwandono Rayana Jaka Surya Reihan Nur Ramdhan Riska Suryanti Putri Riska Tea Ayu Cindy Mavia Sabar Setiawidayat Sabar Setiawidayat, Sabar Saffirna Mohd Soffie Salimin, Suriana Setiawati, Santa Sholeh, Arnaz Asa Sigit Tri Wicaksono Sitti Wuryan Romdania Suryasa, I Nyoman Tan Siew Fun Tan Siew Fun Tedi Kurniawan Tsabitah Rahmawati Ubaidillah Ubaidillah Wahju Wulandari Wahyu Mulyo Utomo Wahyu Siti Ulam Sari Wawang Aditya Dwi Laksana Wei, Choi Kah Widjonarko . Widyarto, Setyawan Yuni Agung Nugroho Zakaria, Risman

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