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All Journal Rekayasa Mesin Jurnal Rekayasa Mesin Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Indonesian Journal of Electrical Engineering and Computer Science
Bahiuddin, Irfan
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Rancang Bangun Alat Pengering Produk Pertanian Tipe Tray Berputar Susanto Johanes; Soeadgihardo Siswantoro; Irfan Bahiuddin
Jurnal Rekayasa Mesin Vol 15, No 2 (2020): Volume 15, Nomor 2, Agustus 2020
Publisher : Jurusan Teknik Mesin - Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v15i2.1861

Abstract

Indonesia adalah salah satu negara tropis sehingga banyak sumber energi yang dapat dimanfaatkan untuk keperluan pertanian, termasuk sebagai sumber energi alat pengering hasil panen. Dengan demikian, di berbagai negara tropis, banyak dijumpai alat-alat pengering produk pertanian dengan memanfaatkan berbagai sumber energi, salah satunya adalah pengering dengan energi surya sebagai sumber panas. Namun, alat-alat seperti ini sulit untuk digunakan oleh para petani yang berdomisili di beberapa tipe lokasi, seperti lereng pegunungan yang cukup terjal. Sinar matahari yang optimal sulit diperoleh karena tertutup oleh pepohonan dan tebing. Oleh karena itu, makalah ini bertujuan untuk menyampaikan hasil rancangan alat pengering berbahan bakar kayu bakar dengan desain yang efektif dan efisien. Alat pengering ini adalah jenis tak kontak langsung, tipe tray bertingkat yang berputar serta mempunyai kelebihan dari sisi kepraktisan dan meminimalkan energi panas yang terbuang. Produk pertanian yang dikeringkan ditaruh secara merata di atas tray-tray lima tingkat, selanjutnya udara panas mengalir dari bawah memanasi produk pertanian mulai dari tingkat satu sampai dengan tingkat lima. Produk pertanian tersebut dapat direlokasi dengan cara memutar tuas masing-masing tray secara berurutan, sehingga produk pertanian jatuh dengan sendirinya ke tingkat tray dibawahnya. Dengan cara demikian, harapannya produk pertanian memperoleh kalor pengeringan yang sama atau hampir sama dan merata. Alat pengering telah diujicoba untuk mengeringkan biji kakao yang difermentasi dan hasil pengeringannya baik dengan pengurangan kadar air sampai hampir 50%.
Application of Ant Colony Optimization for the Shortest Path Problem of Waste Collection Process Andhi Akhmad Ismail; Radhian Krisnaputra; Irfan Bahiuddin
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vo. 6, No. 3, August 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i3.1307

Abstract

The search for the shortest path of the waste collection process is an interesting topic that can be applied to various cases, from a very practical basic problem to a complex automation system development. In a dense settlement, the waste collection system can be a challenging process, especially to determine the most optimized path. The obstacles can be circling streets, impassable roads, and dead-end roads. A wrong choice of method can result in wasteful consumption of energy. A possible method to solve the problem is the traveling salesman problem using ant colony search optimization, considering its relatively fast optimization process. Therefore, this paper proposes an application of ant colony and traveling salesperson problem in determining the shortest path of the waste collection process. The case study for the optimization algorithm application is the path UGM Sekip Lecturer Housing is considering. Firstly, the data was collected by measuring the distance between points. Then, the paths were modeled and then compared with the actual route used by waste transport vehicles. The last step is implementing the ant colony optimization and traveling salesman problem by determining the cost function and the parameters. The optimization process was conducted several times, considering the random generator within the algorithm. The simulation results show the probable shortest path with a value of about 752 meters so that the use of fossil fuels in waste transport vehicles can be more efficient. The results show that the algorithm can automatically recommend the minimized path length to collect waste.
Comparing the linear and logarithm normalized extreme learning machine in flow curve modeling of magnetorheological fluid Irfan Bahiuddin; Abdul Y Abd Fatah; Saiful A Mazlan; Mohd I Shapiai; Fitrian Imaduddin; Ubaidillah Ubaidillah; Dewi Utami; Mohd N Muhtazaruddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1065-1072

Abstract

The extreme learning machine (ELM) plays an important role to predict magnetorheological (MR) fluid behavior and to reduce the computational fluid dynamics (CFD) calculation cost while simulating the MR fluid flow of an MR actuator. This paper presents a logarithm normalized method to enhance the prediction of ELM of the flow curve representing the MR fluid rheological properties. MRC C1L was used to test the performance of the proposed method, and different activation functions of ELMs were chosen to be the neural networks setting. The Normalized Root Mean Square Error (NRMSE) was selected as the indicator of the ELM prediction accuracy. NRMSE of the proposed method is found to improve the model accuracy up to 77.10 % for the prediction or testing case while comparing with the linear normalized ELM
PERMODELAN INVERSI PEREDAM MAGNET-REOLOGI BERBASIS JARINGAN SARAF TIRUAN UNTUK SISTEM KENDALI Rafly Asprilla Alwi; Irfan Bahiuddin; Ryandhi Rofifu Chazim; Agustinus Winarno; Fitrian Imaduddin
Jurnal Rekayasa Mesin Vol. 13 No. 2 (2022)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v13i2.962

Abstract

The application of artificial neural network (ANN) models in magnet-rheological damper modeling is of great interest in recently challenges. Therefore, this study aims to propose a solution to overcome this problem by conducting inverse modeling using an artificial neural network. This inverse model is applied to a meandering magnet-rheological valve damper to predict the current to produce the appropriate damping force. The simulation scheme is selected with current as output and damping force, velocity, and displacement as input. The best model is formulated by varying the architecture of the artificial neural network. The best artificial neural network architecture is obtained after doing these variations. The data is divided into 80% training data, 10% validation data, and 10% test data. The activation function used is a logsig function using three hidden layers with the number of neurons in each layer [30-20-30]. The algorithm used in the chosen architecture is Levenberg-Marquardt. The regression value of 0.991 and the MSE value of 0.001 were obtained from the modeling results. The required damping force is ensured that it can be predicted well using the selected artificial neural network. The test proves that the results of the regression constant are 0.999 and the MSE value is 0.0005 when the current output value is inverted to the damper artificial neural network.
Co-Authors Abdul Y Abd Fatah Agustinus Winarno Andhi Akhmad Ismail Dewi Utami Fitrian Imaduddin Mohd I Shapiai Mohd N Muhtazaruddin Radhian Krisnaputra Rafly Asprilla Alwi Ryandhi Rofifu Chazim Saiful A Mazlan Soeadgihardo Siswantoro Susanto Johanes Ubaidillah Ubaidillah