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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.
Desain dan Pengaruh Perangkat Penggerak pada Sistem Pengupas Bawang Putih dengan Sistem Rotasi Irfan Bahiuddin; Atha Yudhana; Satria Bhirawa Anuraga; Hendricus Sujatmiko; Muhammad Rizal Ramli
Jurnal Rekayasa Mesin Vol 18, No 2 (2023): Volume 18, Nomor 2, Agustus 2023
Publisher : Mechanical Engineering Department - Semarang State Polytechnic

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jrm.v18i2.4329

Abstract

Bawang putih termasuk salah satu jenis tanaman holtikultura yang dilapisi oleh kulit tipis yang tidak dapat dimakan. Oleh karena itu, sebelum digunakan, bawang putih harus melalui proses pengupasan yang dapat dilakukan dengan cara manual atau mesin.  Pengupasan dengan mesin akan mempercepat proses pengolahan paska panen dibanding dengan manual. Bagian terpenting dari mesin pengupas bawang putih adalah bagian penggeraknya. Akan tetapi, tidak banyak studi sebelumnya bagaimana pengaruh konfigurasi penggerak pada mesin pengupas bawang putih. Oleh karena itu, perlu dilakukan studi tentang pengaruh konfigurasi penggerak pengupas terhadap efektifitas proses pengupasan. Makalah ini mempunyai tujuan untuk melakukan rancang bangun dan investigasi pengaruh konfigurasi penggerak terhadap mesin pengupas kulit bawang putih. Proses perancangan mesin pengupas kulit bawang putih dilakukan dengan dua tahapan yaitu perencanaan fungsi dan analisis teknik yang meliputi analisis daya dan torsi yang terjadi pada poros. Selanjutnya, perangkat penggerak divariasikan dengan mengubah beberapa susunan gear, pemasangan pengontrol berupa dimmer, dan pemasangan gearbox dengan rasio 1 : 4. Mesin pengupas kulit bawang putih dengan sistem rotasi telah berhasil dibuat dilengkapi dengan tenaga penggerak pengupas kulit bawang putih direncanakan menggunakan motor listrik dengan daya sebesar 135 Watt dengan kecepatan putar 1500 rpm. Setelah dilakukan perancangan dan pembuatan mesin dengan kapasitas massa bawang adalah 2 kg. Proses pengupasan dilakukan oleh tabung pengupas yang berputar dengan kecepatan putar yang diperoleh dari transmisi daya dengan beberapa variasi konfigurasi penggerak dan dimmer.
RANCANGAN SISTEM HIDROLIK PADA FRONT ATTACHMENT ALAT PERAGA MINI EXCAVATOR Purwanto , Sigit; Aisyah , Nyayu; Prihadianto, Braam Delfian; Krisnaputra , Radhian; Wismo , F. Eko; Bahiuddin , Irfan
Jurnal Rekayasa Mesin Vol. 15 No. 2 (2024)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v15i2.1729

Abstract

As one of the heavy equipment, an excavator is used to facilitate construction work and streamline time and energy. Hydraulic excavators are widely used in construction, mining, quarrying, and forestry applications. A hydraulic excavator is a type of heavy equipment that has several functions such as digging, loading, lifting, scraping, grading, braking, etc. One of the products which is developed by the Mechanical Engineering Department of Vocational School (SV-UGM) is the Mini Excavator. Mini Excavator has a function as excavators in general. A smaller size makes it easier to operate and apply in the field are more compact and do not require a large area. This equipment is expected to be the right teaching aid in supporting the learning process of students of the Heavy Equipment Management and Maintenance Engineering Study Program in the Mechanical Engineering Department. For the learning process to be optimal, the equipment used should be optimal. Therefore, in this research, the design and construction of the Traction Drive System for Backhoe Type Hydraulic Excavators will be carried out and some testing will also be conducted to know the performance of the mini excavator
PREDIKSI UMUR DAN KEANDALAN RIPPER TIP PADA BULLDOZER CATERPILLAR D10T DENGAN METODE WEIBULL Arifin, Fadhilah Akmal Rofiq; Prihadianto, Braam Delfian; Sugiyanto, Sugiyanto; Bahiuddin, Irfan
Jurnal Teknologi Terpadu Vol 12, No 1 (2024): JTT (Jurnal Teknologi Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v12i1.1860

Abstract

Ripper tip is one of the hard steel-based components on heavy equipment with a function to protect the ripper tip when breaking the density of soil and rock material (ripping). Friction between rock surfaces and ripper tips results in wear on ripper tips that require periodic replacement. Caterpillar D10T bulldozer owned by PT. XYZ underwent replacement ripper tip components that did not match the recommended age. This study aims to improve the accuracy of replacement planning and analyze the reliability level of ripper tip components. This study used the Weibull distribution method in analyzing the data. The data used is data on ordering and replacing ripper tip components from 2019 to 2021. The object of research was carried out on three units of Caterpillar D10T bulldozers used by PT. XYZ in an open pit mining project in Batulicin District, Tanah Bumbu Regency, South Kalimantan Province. This study shows that the average age of components in the three research objects has differences from the average life of ripper tip components on bulldozers A, B, and C is 369.75 hours, 329.63 hours, and 291.39 hours. The reliability of ripper tip components on the three bulldozers showed a decrease with the increase in operating time while the failure rate of the ripper tip components of the three bulldozers showed an increase with the increased operating time.
Revolutionizing Agriculture: Electric Tractors for Indonesian Sustainable Farming Krisnaputra, Radhian; Aisyah, Nyayu; Hakim, Sinta Uri El; Pratiwi, Ilham Ayu Putri; Bahari, Galuh; Bahiuddin, Irfan; Sugiyanto, Sugiyanto; Hendaryanto, Ignatius Aris; Wicaksono, Dimas Aryo; Setyawan, Pendi
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 1 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i1.1652

Abstract

The global shift towards electrification has extended its reach to non-road mobile machinery, with a primary focus on agricultural applications. This growing trend reflects the larger shift towards sustainability and the minimization of environmental effects. Electric tractors and other farm machinery have gained popularity due to their environmental benefits, cost savings, and technological advancements. The electric non-road vehicles are not only quieter and more environmentally friendly but also offer the potential for reduced operational costs, making them a compelling choice for farmers looking to modernise their equipment while adhering to stringent environmental regulations. Thus, the concept of an electric tractor becomes an important topic to be discussed. This paper will discuss the development of tractors in Indonesia and proposed design for electric tractors that are suitable for Indonesia to support sustainable farming.
Entropy-Based Feature Extraction and K-Nearest Neighbors for Bearing Fault Detection Hakim, Sinta Uri El; Bahiuddin, Irfan; Arifianto, Rokhmat; Ritonga, Syahirul Alim
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 1, February 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i1.1814

Abstract

Bearing failures in rotating machines can lead to significant operational challenges, causing up to 45-55% of engine failures and severely impacting performance and productivity. Timely detection of bearing anomalies is crucial to prevent machine failures and associated downtime. Therefore, an approach for early bearing failure detection using entropy-based machine learning is proposed and evaluated while combined with a classifier based on K-Nearest Neighbors (KNN) and Support Vector Machine (SVM). Entropy-based feature extraction should be able to effectively capture the intricate patterns and variations present in the vibration signals, providing a comprehensive representation of the underlying dynamics. The results of the classification carried out by KNN-Entropy have an accuracy value of 98%, while the SVM-Entropy model has an accuracy of 96%. Hence, the Entropy-based feature extraction giving the best accuracy when it is coupled with KNN.
Pembuatan TREPOS (Travel Protection System) Sebagai Upaya Penurunan Travel Dispatch pada Small Excavator Isyanto, Muhamad Sandi Isyanto; Sugiyanto, Sugiyanto; Bahiuddin, Irfan; Ismail, Andi Akhmad; Khaerudin, Arif; Muslih, Imam
Jurnal Teknologi dan Rekayasa Alat Berat Vol 2 No 1 (2025): JTRAB Volume 2, No 1, 2025
Publisher : Department of Mechanical Engineering, Vocational College, Gadjah Mada University.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jtrab.v2i1.13665

Abstract

Excavators primarily perform digging, loading, and swinging operations, while travel operations are intended to support mobility within the work area and should not exceed the primary operations. The operational data of the PC210-10M0 excavator, accessed through KOMTRAX, was utilized in this study as part of Komatsu's monitoring service. The objective was to design, develop, and install a travel protection system (TREPOS) and analyze travel dispatch data as an indicator of travel operations. The TREPOS development process included system design, wiring diagram creation, assembly, installation, and system testing. TREPOS employs a Programmable Logic Controller (PLC) to process inputs and outputs. Its function is to provide an audible warning and reduce the engine speed to low idle if the travel operation exceeds 15 minutes. The PDCA method was used in travel dispatch data analysis as an evaluation tool for TREPOS development. Initial results indicated no reduction in travel durations exceeding 20 minutes, necessitating further improvements. The second installation showed a reduction in the number of travel durations exceeding 20 minutes from 13 to 8 occurrences.