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Syamsul Maarif
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Jurnal Engine: Energi, Manufaktur, dan Material
Published by Universitas Proklamasi 45 Yogyakarta
ISSN : 25797433     EISSN : 25797433     DOI : http://dx.doi.org/10.30588/jeemm
Core Subject : Science, Engineering,
Control & Systems Engineering Energy Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
Jurnal Engine: Energi, Manufaktur, dan Material is registered with ISSN 2579-7433 (online) on The Indonesian Institute of Sciences (LIPI). This journal is under publishment of the Mechanical Engineering Department, Universitas Proklamasi 45 Yogyakarta. It is a scientific journal focusing on Energy, Manufacturing, Material, Mechanical, and Software Simulation. It provides a publishing platform for scientists and academicians to share, publish, and discuss all aspects of the latest outstanding development in the field of Mechanical Engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Mesin
Articles 94 Documents
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Speech Recognition pada Kontrol Gerak Tangan Bionik berbasis Raspberry Pi dan Arduino Syaiful Mansyur; Muchamad Malik; Aan Burhanuddin; Jihan Abdul Malik
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 1 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i1.1431

Abstract

The bionic hand is a broad bio-mechatronic device that incorporates various concepts involving biology and mechatronics. In this journal, the authors research finger movements in bionic hands using voice commands. In designing this bionic hand, the author made a mechanical design using a 3D printing machine. The hardware design used by the Raspberry Pi to process voice data is then transmitted to Arduino to carry out servo movement commands so that it can move bionic fingers. Software design uses the Python language using the Google text-to-speech API. From this research, data was generated with 100% accuracy. The movement of bionic fingers moves according to the commands spoken.
Analisis Sistem Pemantauan Pemisah Sampah Logam dan Non Logam berbasis Internet of Things Muchamad Malik; Sumpena Sumpena
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 1 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i1.1462

Abstract

Waste has become a serious problem, especially in big cities, not only in Indonesia but also around the world. Waste production continues to increase along with population growth, and changes in consumption patterns and people's lifestyles have increased the amount of waste, the type, and the diversity of waste characteristics. Waste bins are infrastructure available in every city park that makes it easier for park visitors to dispose of waste. make it easier for park visitors to dispose of waste. In some places, There are no bins based on the basic material of the waste, namely metal bins and non-metal bins that can be monitored in real-time. So a smart trash can is made that can sort metal or non-metal waste that can be monitored in real-time with the Internet of Things. The hardware used is Metal Proximity Sensor, Infrared Sensor, Servo Motor, Ultrasonic Sensor, MQ135 Gas Sensor, and ESP32 Microcontroller. The capacity in the trash can be monitored through the Blynk application, which will provide notification when the trash can is full. Based on the test results of the volume reading of the trash can, the success of the sensor to open and close is 99.26%. To sort non-metal waste and metal waste using proximity sensors with the results of testing the reading of waste objects obtained success in non-metal waste by 95% and metal waste by 100%.
Pengaruh Ratio Overlap Sudu Terhadap Performa Turbin Air Poros Horizontal Savonius rendi rendi
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 1 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i1.1467

Abstract

The Savonius air turbine has the ability to generate electricity from low-flow water sources and can be used in various types of water sources. However, the efficiency of this turbine is still low compared to other types of water turbines. Previous studies have shown that the overlap ratio of the blades can affect the turbine efficiency and power generated. Therefore, this study aims to investigate the effect of blade overlap ratio on the performance of the horizontal-axis Savonius water turbine. The purpose of this research is to study the influence of blade overlap ratio. It is hoped that the results of this study can be used as a reference in the production of horizontal-axis Savonius water turbines.
Pemilihan Algoritma Machine Learning Yang Optimal Untuk Prediksi Sifat Mekanik Aluminium Desmarita Leni
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 1 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i1.1490

Abstract

This study designs and compares optimal machine learning models to predict the mechanical properties of aluminum, including Yield Strength (YS) and Tensile Strength (TS), based on the percentage composition of aluminum's chemical elements. The machine learning modeling in this study has nine input variables consisting of aluminum chemical elements such as Al, Mg, Zn, Ti, Cu, Mn, Cr, Fe, Si, and two output or target variables consisting of YS and TS. Additionally, Heatmap correlation is used to observe the correlation between chemical elements and the mechanical properties of aluminum. Three machine learning algorithms, namely Decision Tree (DT), Random Forest (RF), and Artificial Neural Network (ANN), are compared in this study. The comparison of these algorithms shows that Random Forest (RF) outperforms the other algorithms in predicting YS with MAE of 11.44, RMSE of 14.282, and R value of 0.93. On the other hand, ANN performs better in predicting TS with MAE of 19.593, RMSE of 22.005, and R value of 0.947.
Quality Control on Bogo Helmet Coating Process Using the Six Sigma Method, Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) Paulina Retno Anjani Sugito; Elly Wuryaningtyas Yunitasari; Syamsul Ma’arif
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 1 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i1.1416

Abstract

Hanesda Assembling Helmet is a private company engaged in the assembly of bogo helmets. One of the serious problems faced by this company is that the defective products produced in the production process reach 4% of the tolerance limit set by the company, which is 1.5%. The purpose of this research is to control the quality of the coating process which has a lot of product defects. The method used in this study is the Six Sigma method with the stages of DMAIC. The method used to analyze the causes of failure is the FTA method and the method used to determine the weighting in prioritizing the repair design is the FMEA method. The results of the research using the Six Sigma method are obtained DPMO values of 19,931 with a Sigma level of 3.57. Types of defects that have the highest RPN are streak defects, flex defects, uneven paint defects and paint runs defects with an RPN value of 112. High RPN value will be prioritized for improvement plans.
Kajian Lingkungan dari Potensi Pembangkit Listrik Tenaga Surya di Energy Park Universitas Proklamasi 45 Daniel Kurniawan; Andri Prasetyo Nugroho; M. Noviansyah Aridito; Trisno Fallo
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 1 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i1.1419

Abstract

Indonesia is a country that is located right on the equator. This is certainly very supportive of one of the accelerations of Solar Power Plants. Proklamasi 45 University as a university in Yogyakarta that focuses on renewable energy plans to build an energy-themed location within the campus environment, named “Energy Park” with grid-connected Solar Power Plants as a source of electrical energy. This research aims to calculate the potential for electrical energy, its contribution to reducing CO2 emissions, and the feasibility of the Energy Park project from an economic point of view. The method used in this research is comparing data in the field and the system simulation method with PVsyst software as well as cash-flow analysis calculations. According to the results of the system simulation, the potential for electrical energy generated by rooftop grid-connected PV mini-grid each year is calculated at 8,310 kWh or 8.31 MWh, with details per kWp of 1528 kWh/kWp/year. Then the contribution of reducing CO2 emissions from the implementation of Energy Park’s Solar Power Plants with electricity production of 8.31 MWh/year for 30 years is 148,2 tCO2. Through cash-flow analyst calculations, it is known that the Energy Park’s Solar Power Plants project is not economically feasible when referring to the current selling price of electrical energy and the performance of the existing Energy Park’s Solar Power Plants.
Analisis Kecepatan Putar Silinder Perontok Terhadap Kinerja Mini Power Thresher Hasil Rekayasa UPJA Desa Sungai Kelambu Suhendra Suhendra; Deliana Pridaningsih; Lang Jagat; Feby Nopriandy
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 2 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i2.1513

Abstract

Various types of power threshers have been developed to suit conditions in the field. The development of the power thresher was also carried out by UPJA Sungai Kelambu Village, Sambas Regency by making a mini power thresher that was designed to suit the conditions of the land and the needs of local farmers. The purpose of this research was to obtain a relationship between threshing rotational speed and performance on the mini power thresher. The threshing cylinder rotational speed was varied at 669 and 778 rpm. The measured performance of the mini power thresher was feeding capacity, threshing capacity, cleanliness, percentage of grain not threshed, percentage of scattered grain, threshing efficiency, percentage of yield loss, fuel consumption, and increase in cracked grain. The test sample used was IR 64 rice. Based on the test results, the rotational speed of the thresher cylinder has a very significant effect on the threshing performance of the mini power thresher. Changes in threshing cylinder rotational speed from 669 rpm to 778 rpm can improve the performance of the mini-power thresher in terms of feed capacity, threshing capacity, threshing cleanliness, percentage of grain scattered, and percentage of yield loss. The decrease in performance is found in fuel consumption and the percentage of cracked grain. The variables that relatively unchanged were the percentage of grain not threshed and threshing efficiency. The operation of this mini power thresher is recommended at a thresher cylinder rotational speed of 778 rpm.
Optimization of Cutting Parameter CNC Wet Milling Process of Austenitic Stainless Steel on Surface Roughness Achmad Hata; Rudy Yuni Widiatmoko; Deni Mulyana; Ilham Azmy
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 2 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i2.1591

Abstract

Austenitic stainless steel (SS) is widely used in various industries owing to its good mechanical properties and corrosion resistance. However, the machineability of this material remains a challenge to measure for better application. In this research, the optimization of the machining parameter CNC wet milling process for austenitic stainless steels (AISI 304 and AISI 316) was successfully finished by utilizing the Taguchi method (S/N ratio and ANOVA) to determine its machineability specifically on surface roughness. The optimum surface roughness of AISI 304 stainless steel is about 0,21 µm within a spindle speed of 3184 rpm, a feed rate of 1528,4 mm/min in the depth of 0,3 mm. The depth of cut parameter during CNC milling was considered as the most influential parameter to optimize surface roughness in AISI 304 stainless steel. Meanwhile, during the cutting process of AISI 316 stainless steel, the optimum surface roughness was obtained at a spindle speed of 3184 rpm, feed rate of 541,4 mm/min in the depth of 0,3 mm with a surface roughness value of 0,24 µm. The results depicted that feed rate held a pivotal factor in determining surface roughness in the AISI 316 stainless steel milling process. Therefore, this research gives impactful insight into developing a good milling process that can increase the machineability, quality, and productivity of AISI 304 and AISI 316 stainless steels.
Reducing the Threat of Electrical Hazards through the Application of Solar Energy: Realizing Child-Friendly Electricity in Elementary Schools. sutoyo sutoyo; Ferriawan Yudhanto
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 2 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i2.1529

Abstract

The advancement of information technology provides ease of learning. However, learning media in schools usually depends on average electrical settings and electronic devices to support information technology (IT). The learning media in Indonesia generally depends on the utilization of PLN's electrical energy. It is undeniable that electricity is a basic need in teaching and learning activities today, even though the existence of electrical installations in the midst of children saves dangers that need to be anticipated. The solution is to provide socialization and education on child-friendly technology. In this case, the school community will be introduced to utilizing and building safe electrical installations for children. In principle, some electrical components available on the market will have their own level of safety, and safe and child-friendly components must be chosen. Furthermore, electrical installations will be built with solar energy sources because the technology has many advantages, including renewable energy, without high-voltage cable networks, and providing efficiency in school operational costs. It is more important that solar electricity can work at low voltages to be safe in children's environments. The result at the activity location installed electricity from Solar Power Plant with a 300 Watt inverter to provide electricity for school computer devices. In addition, 10 outdoor lighting points are installed that are set to turn on and off automatically. The main goal to provide efficient and safe electrical facilities for children has been well realized.
Analisis Kondisi Angin Menggunakan Diagram Windrose Sebagai Potensi Pembangkit Listrik Tenaga Bayu di Kecamatan Percut Sei Tuan Kabupaten Deli Serdang Ratni Sirait; Lailatul Husna Lubis; Tasya Noveni
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 2 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i2.1465

Abstract

Indonesia's energy needs are increasing in line with population growth, economic growth, and people's energy consumption patterns. This causes the fossil energy sources in Indonesia to continue to run low. So alternative energy is needed in the form of new and renewable energy. An analysis of surface wind patterns has been carried out in Percut Sei Tuan District, Deli Serdang Regency. This study aims to determine the conditions of wind speed and direction in Percut Sei Tuan District, Deli Serdang Regency, as a basis for knowing the potential of wind energy in the region. Diagram analysis uses the windrose method using the WRPLOTS application. The wind condition data used is daily wind direction and speed data from January 1, 2013, through December 31, 2021, based on the online BMKG database. From the results of the analysis using the windrose method, it is found that the dominant wind direction blows from the north, which occurs in January, February, March, April, November, and December. The average wind speed ranges from 2.1 to 3.6 m/s, which is relatively low when used as an alternative energy source.

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