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All Journal International Journal of Renewable Energy Development Jurnal Teknik ITS IPTEK Journal of Proceedings Series JMES The International Journal of Mechanical Engineering and Sciences Sewagati International Journal of Renewable Energy Development JIPOWER : Journal of Intellectual Power
Arif Wahjudi
Department Of Mechanical Engineering, Institut Teknologi Sepuluh Nopember
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Perancangan Sistem Kontrol PID Untuk Pengendali Sumbu Elevasi Gun Pada Turret-Gun Kaliber 20 Milimeter Dimas Kunto Ariwibowo; Arif Wahjudi; Hendro Nurhadi
Jurnal Teknik ITS Vol 5, No 2 (2016)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (715.156 KB) | DOI: 10.12962/j23373539.v5i2.18161

Abstract

Pertahanan negara pada hakikatnya adalah segala upaya pertahanan yang bersifat semesta yang didasarkan pada kesadaran atas hak dan kewajiban warga negara serta keyakinan pada kekuatan sendiri dengan tujuan untuk menjaga dan melindungi kedaulatan negara, keutuhan wilayah NKRI dan keselamatan segenap bangsa. Salah satu alat pendukung pertahanan yaitu senjata laras panjang, Turret-Gun.  Adapun langkah-langkah yang dilakukan dalam merancang pengendali PID Turret-Gun kaliber 20mm ini diawali dengan studi literatur serta studi lapangan mengenai mekanisme dan parameter-parameter yang terdapat pada Turret-Gun pada sumbu elevasi. Setelah itu dilakukan perancangan transmisi dan sistem kontrol Turret-Gun untuk dievaluasi grafik responnya yang akan digunakan sebagai acuan untuk merancang pengendali PID yang sesuai. Selanjutnya pengendali PID yang telah dirancang lalu disimulasikan, sehingga menghasilkan grafik respon yang sesuai dengan kriteria yang dibutuhkan. Hasil yang telah didapatkan dari penelitian ini adalah konstanta PID yang direkomendasikan untuk , , dan secara berturut-turut adalah sebesar 23061.024, 37820.07 dan 3515.4 yang menghasilkan transient response dengan nilai overshoot sebesar 19.9 % , steady state error sebesar 0 % serta settling time sebesar 0.935 detik. Hasil analisa kestabilan untuk sistem kontrol dengan konstanta PID tersebut menunjukkan bahwa sistem kontrol telah stabil, baik menggunakan metode Root Locus maupun metode Routh-Hurwitz.
Rancang Bangun Perangkat Lunak Unit Kontrol Alat Ukur Sudu Cross Flow Water Turbine Berbasis Pengolahan Citra Eka Marliana; Arif Wahjudi
Jurnal Teknik ITS Vol 3, No 2 (2014)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (918.62 KB) | DOI: 10.12962/j23373539.v3i2.7136

Abstract

Seiring dengan berkembangnya teknologi informasi dan komunikasi, alat ukur mengalami perkembangan yang cukup signifikan. Salah satu bentuk perkembangannya adalah dengan dibuatnya alat ukur sudu cross flow water turbine berbasis pengolahan citra oleh Rusweki dan Pradnyana pada tahun 2013. Namun, alat ukur ini masih dioperasikan secara manual. Tugas akhir ini bertujuan untuk melakukan pengembangan terhadap alat tersebut, khususnya dibidang rancang bangun perangkat lunak untuk unit kontrolnya. Metodologi yang diterapkan dalam tugas akhir ini yang pertama adalah mempelajari hal-hal yang berkaitan dengan topik bahasan dari berbagai literatur. Langkah kedua adalah menetukan perumusan masalah dan menentukan metode pembuatan perangkat lunak. Ketiga, pembuatan perangkat lunak dan verifikasi. Pada penelitian ini telah berhasil dirancang perangkat lunak untuk unit kontrol alat ukur sudu CFWT berbasis pengolahan citra. Berdasarkan hasil kalibrasi sensor inframerah Sharp GP2Y0A21 didapatkan bahwa nilai jarak adalah sama dengan 178924.57 dibagi dengan nilai output ADC desimal pangkat 1.08. Selisih maksimal antara jarak input dan jarak tempuh motor adalah 0.5mm, dan jarak kontrol antara 130-400mm. Dengn demikian, metode pengukuran menggunakan alat ini akan lebih mudah dan cermat, karena selain dapat mengukur benda dengan bentuk yang kompleks mngurangi resiko keausan benda an lebih teliti, juga bisa diakukan dengan mudah serta cepat karena adanya sistem kontrol
Optimization of Interval Between Overhaul on Steam Power Plant with Risk Based On Human Error and Profi Emilius Wahyu; Arif Wahjudi
IPTEK Journal of Proceedings Series No 1 (2019): 4th International Seminar on Science and Technology 2018 (ISST 2018)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (276.758 KB) | DOI: 10.12962/j23546026.y2019i1.5100

Abstract

Power plant companies have many different standard interval between overhauls. The difference may be due to the different methods used by the company. However, these methods do not take into account aspects of risk, aspects of human error and financial aspects simultaneously. The purpose of this study is to determine the optimal interval overhaul by considering aspects of risk, human error aspects and financial aspects simultaneously. The propsed method to calculate reliability plant model using the Criticality Risk Matrix tool and elimination of equipment that can be overhauled at the time the plant under operating conditions, succeeds in reducing the number of equipment that needs to be analyzed, from 210 to 30 equipment. Parameter reliability plant obtained β: 0.9755, η: 602.0508, γ: 7.5942. The reliability plant model is combined with reliability constant affected by human error resulting in a combined reliability model. The combination of combined unreliability model, multiply to Economical Consequences so that the Total Cost model can be obtained. Genetic algorithm is an effective method to be used in the optimization process of a non linear function. The difference between net income model and total cost will produce profit model, so the optimal overhaul interval can be known by doing optimization on the model so that obtained top1 = 7698 hours. Optimization of total cost model can be done to find out the latest time the plant must be shutdown to do overhaul in order to avoid cost inefficiency. Optimal time total cost obtained top2 = 17645 hours
Numerical Study of Blended Winglet Geometry Variations on Unmanned Aerial Vehicle Aerodynamic Performance Fungky Dyan Pertiwi; Arif Wahjudi
JMES The International Journal of Mechanical Engineering and Sciences Vol 6, No 1 (2022)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v6i1.12317

Abstract

An unmanned aerial vehicle (UAV) is an unmanned aircraft that can be controlled remotely or flown automatically. Nowadays, the use of UAVs is extensive, not only limited to the military field but also in civilian tasks such as humanitarian search and rescue (SAR) tasks, railroad inspections, and environmental damage inspections. Therefore, study on UAV becomes essential to answer the challenges of its increasingly widespread use. This study explores the addition of a blended winglet on the swept-back wing of the UAV. It is to predict the effect of the aerodynamic performance. The backpropagation neural network (BPNN) method helps to predict the aerodynamic performance of the UAV in the form of a lift-drag coefficient ratio (CL/CD) and drag coefficient at 0O angle of attack (CD0). It is based on blended winglet parameters such as height, tip chord, and cant angle. The obtained BPNN modeling has a network architecture of 3 inputs, 2 hidden layers, and 1 output with a mean square error (MSE) of 4.9462e-08 and 4.4756e-06 for the relationships between blended winglet parameters with CL/CD and CD0, respectively.
Determination of Injection Molding Process Parameters using Combination of Backpropagation Neural Network and Genetic Algorithm Optimization Method Arif Wahjudi; Thenny Daus Salamoni; I Made Londen Batan; Dinny Harnany
JMES The International Journal of Mechanical Engineering and Sciences Vol 5, No 2 (2021)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v5i2.8592

Abstract

The polymer matrix composite (PMC) in use today is generally made of synthetic fibers which are expensive and not environmentally friendly. The use of synthetic fibers can be replaced with natural fibers, which are more environmentally friendly at a lower price. The natural fiber material used in this study is made from husks, with a particle size of 500 µm (mesh 35). In the PMC manufacturing process, rice husks are mixed with polypropylene (PP) and maleic anhydride polypropylene (MAPP) with a composition of 10 wt% RH, 85 wt% PP and 5 wt% MAPP. PMC materials using natural fibers are called biocomposite materials. The result of mixing PMC with natural fibers in the form of pellets is then carried out by the injection process using an injection molding machine. The printed results are in the form of tensile test specimens based on ASTM D 638-03 type V testing standards and impact test specimens based on ASTM D 256-04 testing standards. The research was conducted by optimizing the responses i.e. tensile strength and impact strength of the biocomposite material in the injection molding machine process, whereas varied process parameters, namely barrel temperature, injection pressure, holding pressure, injection velocity were selected as process parameters. The backpropagation neural network (BPNN) training method is used to recognize the pattern of the relationship between process parameters and response parameters based on the previous experiment, while the genetic algorithm (GA) optimization method is to determine the variation settings for process parameters that can optimize tensile and impact strength. The results of the BPNN training have a 4-9-9-2 network architecture consisting of 4 input layers, 2 hidden layers with 9 neurons, and 2 neurons in the output layer. Optimization with GA produces a combination of variable process parameters barrel temperature 217◦C, injection pressure 55 Bar, holding pressure 41 Bar and injection velocity 65 mm/sec. The results of statistical validation using one sample T test show that the average value of tensile strength and impact strength from the results of the confirmation experiment is the same as the value of the tensile strength and impact strength of the optimization prediction.
Effect of Adding Combustion Air on Emission in a Diesel Dual-Fuel Engine with Crude Palm Oil Biodiesel Compressed Natural Gas Fuels Dori Yuvenda; Bambang Sudarmanta; Arif Wahjudi; Rozy Aini Hirowati
International Journal of Renewable Energy Development Vol 11, No 3 (2022): August 2022
Publisher : Center of Biomass & Renewable Energy, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijred.2022.41275

Abstract

A diesel dual-fuel engine uses two fuels designed to reduce the consumption of fossil fuels. Generally, the specific fuel consumption of diesel dual-fuel engines has increased.  However, in   combination with alternative fuels, namely compressed natural gas injected through air intake, the use of diesel fuel can be reduced. However, using two fuels in a diesel dual-fuel engine increases the equivalent ratio; therefore, the air and fuel mixture becomes richer because the air entering the cylinder during the intake stroke is partially replaced by compressed natural gas. This results in incomplete combustion and increases exhaust emissions, particularly hydrocarbon (HC) and carbon monoxide (CO) emissions. This study aims to improve the combustion process in dual-fuel diesel engines by improving the air-fuel ratio; thus, it can approach the stoichiometric mixture by adding combustion air forcibly to produce complete combustion to reduce CO and HC emissions. An experimental approach using a single-cylinder diesel engine modified into a diesel dual-fuel engine powered by crude palm oil biodiesel and compressed natural gas was adopted. The combustion air was forcibly added to the cylinder using an electric supercharger at different air mass flow rates ranging from 0.007074 to 0.007836 kg/s and different engine loads (1000 to 4000 watts). The results indicated that adding more air to the cylinder could produce complete combustion, reducing the emission levels produced by a diesel dual-fuel engine. An air mass flow rate of 0.007836 kg/s can reduce CO, HC, and particulate matter emissions by averages of 60.55%, 49.63%, and 86.87%, respectively, from the standard diesel dual-fuel engine. Increasing in the amount of oxygen concentration improves the quality of the air-fuel ratio, which results in improved combustion and thereby reducing emissions.
The Effect of Rice Husk as Additive in Injection Molding Process Dinny Harnany; I Made Londen Batan; Arif Wahjudi; Sylvia Ayu Pradanawati
The International Journal of Mechanical Engineering and Sciences Vol 6, No 2 (2022)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v6i2.14182

Abstract

This study investigated the moldability and the mechanical properties of bio-composite with rice husk as natural reinforcement. Natural materials that are abundant in nature can be used as reinforcement for polymer materials. Natural materials as reinforcement in plastic materials were used to obtain alternative materials in an injection molding process. With rice husk, polypropylene, and MAPP, four compositions of bio-composite materials were made and used as raw material injection molding process. The moldability from this material was observed through visualization of the product. The mechanical properties of the materials were observed by the tensile strength and impact test on the injection molding product. The result showed that these materials could be injected to form ASTM D638-03 Type V tensile test and ASTM D256-04 impact test specimens. Visually, the more rice husk on the bio-composite material, the darker the product color. The differences in tensile strength values decreased along with increased rice husk content. All bio-composite materials had roughly the same tensile strength value and were lower than polypropylene, except RH-5%. The impact value of bio-composites was lower than polypropylene impact value and tended to decline along with the increase in the rice husk content. Scanning electron microscope (SEM) analyzes were done on the fracture side of the impact specimen. Microscale voids decreased and were rarely found by adding rice husk to the material bio-composite. On the other hand, rice husk breakage and pullout phenomenon on bio-composite material were found.
Automated Corrosion Detection on Steel Structures Using Convolutional Neural Network Mohammad Khoirul Effendi; Bara Atmaja; Arif Wahjudi; Dedi Budi Purwanto
JMES The International Journal of Mechanical Engineering and Sciences Vol 7, No 1 (2023)
Publisher : LPPM, Institut Teknologi Sepuluh Nopember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25807471.v7i1.15881

Abstract

Steel is a material that is widely used in industry and construction. The tensile and compressive force of steel is relatively high compared to other materials. On the opposite, low corrosion resistance is the main weakness of steel, which can encourage steel deterioration and fatal accidents for the user. Furthermore, regular visual inspection by a human should be performed to prevent catastrophic incidents. However, human visual inspection increases the risk of work accidents and reduces work effectiveness. Therefore, a drone with a camera is one solution to increase efficiency, increase security levels, and minimize difficulties or risks during corrosion inspection. In this research, the drone has been used to capture corroded video of a construction structure. The convolutional neural network (CNN) method is then used to detect the location of the corroded images. This study has been conducted on Surabaya’s Petekan-bridge with the Mobilenet V1 SSD pre-training model. In this study, the distance between a drone and the detected object varied between 1 and 2 m. Next, the drone speed was varied into 0.6 m/s, 0.9m/s, and 1.3m/s. As a result, CNN can detect corrosion on the surface of steel materials with the best accuracy is 84.66% and minimum total loss value of 1.673 by applying 200 images, 200000 epochs, batch size at 4, learning rate at 0.001 and 0.1, the distance at 1 m, drone speed at 0.6 m/s. 
Analisa Mekanis Perancangan Pembangkit Listrik Tenaga Mikro Hidro sebagai Pemanfaatan Air Sungai Mendak di Desa Wagirkidul Kabupaten Ponorogo untuk Kebutuhan Wisata Arung Jeram Arif Wahjudi; Adi Soeprijanto; Dinny Harnani
Sewagati Vol 2 No 1 (2018)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (684.287 KB)

Abstract

Saat ini, kebutuhan akan listrik menjadi sangat penting karena hampir semua aktifitas manusia harus dibantu oleh sumber energi listrik. Demikian pula tempat wisata arum jeram yang baru dibangun di sungai Mendak Dusun Wagirkidul Kecamatan Pulung Kabupaten Ponorogo juga membutuhkan sumber energy listrik untuk mendukung kegiatan dan pengembangannya. Akan tetapi, jaringan listrik PLN belum masuk ke daerah wisata tersebut. Oleh karena itu, sebuah Pembangkit Listrik Tenaga Mikro Hidro (PLTMH) yang memanfaatkan sumber daya air sungai Mendak perlu dirancang. Untuk merancang PLTMH, ada dua tahapan kegiatan yang harus dilakukan yang pertama adalah analisa kapasitas pembangkit untuk menentukan kapasitas maksimum dan minimum dari pembangkit serta kedua adalah perancangan perpipaan dan turbin yang sesuai.
Pemanfaatan Mesin Dehidrator Berbasis Mikrokontroler untuk Mengurangi Kadar Air Madu di Desa Kauman, Tulungagung Latifah Nurahmi; Dinny Harnany; M. Khoirul Effendi; Arif Wahjudi; I Made Londen Batan; Suhardjono; Sampurno; Fahmi Mubarok
Sewagati Vol 7 No 3 (2023)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6900.621 KB) | DOI: 10.12962/j26139960.v7i3.512

Abstract

Desa Kauman, Tulungagung, termasuk daerah penghasil madu di Jawa Timur. Namun, para peternak madu masih banyak mengalami kendala dalam mengurangi kadar air dalam madu karena masih menggunakan metode konvensional. Tim Pengabdi ITS bersama dengan mitra UMKM Madu AG bekerja sama merancang mesin dehydrator madu. Kemudian, mesin tersebut diberikan kepada peternak lebah di Desa Kauman. Hal ini bertujuan agar para peternak dapat memanfaatkan mesin dehydrator madu untuk meningkatkan produktivitas produk madu. Syarat madu yang baik harus memilik kadar air tidak lebih dari 22%. Mesin dehydrator madu yang dirancang dalam kegiatan ini mampu mengurangi kadar air hingga 10% dari kadar air dari sebelumnya. Hal ini diharapkan dapat membantu peternak lebah untuk menghasilkan madu dengan kualitas yang lebih baik.
Co-Authors Adi Soeprijanto Arleta Listiyana Chandradewi Bambang Sudarmanta Bara Atmaja Dedi Budi Purwanto Dimas Kunto Ariwibowo Dinny Harnani Dinny Harnani Dinny Harnany Dinny Harnany Dinny Harnany Dori Yuvenda Eka Marliana Emilius Wahyu Fahmi Mubarok Fungky Dyan Pertiwi Hendro Nurhadi I Made Londen Batan I Made Londen Batan M. Khoirul Effendi Marga Yogatama Mohammad Khoirul Effendi Nurahmi, Latifah Rozy Aini Hirowati Sampurno Suhardjono Suhardjono Sylvia Ayu Pradanawati Thenny Daus Salamoni