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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 10 Documents
 1 
Search results for , issue "Vol 7, No 1 (2023)" : 10 Documents clear
Pemetaan Potensi Energi Panas Bumi Pada Provinsi Sumatera Utara Berbasis Digital Melalui Quantum GIS Agung Dwi Laksono; Ahmad Afif Setiawan Habibi; Deva Tri Febiana; Nida Ayu Magfiroh Bahri; Sa’adatun Nisa'; Siti Diah Ayu Febriani
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.v7i1.969

Abstract

The location of Indonesia, which is located between three major tectonic plates, has an advantage in the field of alternative energy, namely geothermal heat. This research was conducted in order to facilitate the government and the community in North Sumatra Province regarding the existing geothermal potential. Geothermal energy or can be called geothermal is heat energy contained in water fluid or in the form of steam, liquid, or a mixture of both which is at a depth of more than 1 kilometer below the earth's surface. Indonesia has a geothermal potential of 40% of the total geothermal potential in the world, Indonesia is in second place, which is 23.76 GigaWatt (GW). One example is in North Sumatra in the Sarulla (330 MW) and Sibayak (120 MW) and Dolok Marawa (38 MW) areas. This study aims to create a mapping of geothermal potential in the province of North Sumatra using Quantum GIS by conducting literature studies, data collection, data management, and map visualization on Quantum GIS. reduce the use of fossil energy that is not friendly to the environment. The results show that the largest Geothermal Working Capacity Area (WKP) in North Sumatera is in South Tepanuli Regency with a total of 1,046 MW in Sibual Buali WKP and the second highest is Mandailing Regency of 240 MW.
Analisis Potensi Pembangkit Listrik Tenaga Bayu dengan Turbin Angin Sumbu Vertikal di Kecamatan Sangkapura Kabupaten Gresik Zidan Afidah; Yushardi Yushardi; Sudarti Sudarti
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.v7i1.1325

Abstract

Gresik Regency's coastal Bawean Island is where Sangkapura District is situated. In 2020, there were 117,112 power consumers in the Sangkapura District. On the same island, there have been some regions without electricity daily. This demonstrates that there is still a need for electrical energy, which is growing along with the population. Additionally, growing global oil prices are a sign of the need for electrical energy. Fossil energy, which is non-renewable and can produce emissions, is the energy source that is most frequently used today. An energy crisis can be brought on by the excessive consumption of fossil fuels. The suggested remedy is to employ new renewable energy (EBT) as a source of electrical energy, taking into account that EBT is more environmentally friendly. Therefore, more study is required to determine the local potential of wind as a wind power plant (PLTB) using vertical axis wind turbines, taking into account the benefits and drawbacks of each type of turbine. The analysis of published works and the Meteorology, Climatology, and Geophysics Agency's online database is the research techniques used. According to the analysis, an average wind speed of 1.5 m/s and wind power of 10.47 watts were measured. Dim LED lights can be turned on with this amount of energy. Sangkapura District has a poor potential for wind power plants because this number is lower compared to numerous pertinent research and employs a home size. Therefore, we require a different strategy that can utilize low wind speeds to generate electricity.
Hubungan Antara Produktifitas Pemesinan dan Kualitas Permukaan Bahan UHMWPE Hasil Bubut Silindris dengan Mesin CNC Budi Basuki; Ignatius Aris Hendaryanto; Benidiktus Tulung Prayoga; Handoko Handoko
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.v7i1.1461

Abstract

UHMWPE (Ultra High Molecular Weight Polyethylene) is a unique polyethylene material widely used in biomedical applications as a bearing material for human body joint implants. The production of these UHMWPE implant components is still commonly performed with machine tools. Operation of these machines requires specific setting machining parameters in order to produce good UHMWPE surface quality without sacrificing the production cost. This research aims to find the relationship between cylindrical lathe machining productivity parameter, MRR (Material Removal Rate), and surface quality of the produced UHMWPE implant. MRR is directly related to production costs. The research was conducted by turning the UHMWPE at five feed rate variations between 0.025 to 0.2 mm/rev. and two depth of cut variations, 0.05 mm, and 0.1 mm, with a cutting speed of 150 m / minute. The test used a Denford FANUC CNC lathe machine with a cemented carbide cutting tool. Product quality was determined by measuring the topography or surface roughness of the material. Results show that the surface quality is inversely related to MRR. This problem can be solved by adjusting the depth of the cut. High productivity can be obtained by cutting thicker material. The difference in the surface quality of the cylindrical lathe machined material in the two depth of cut variations is not significant.
Efek Sinergis Alumina Trihydrate Dan Melamine Cyanurate Terhadap Ketahanan Api Glass Fiber Reinforced Polymer (GFRP) Ridha Inayah; Wiwik Dwi Pratiwi; Rizal Indrawan
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.v7i1.1463

Abstract

Glass Fiber Reinforced Polymer (GFRP) in train interior components must have good fire resistance properties. Therefore, it is necessary to add a flame retardant compound to the GFRP material. In this study, Alumina Trihydrate (ATH) and Melamine Cyanurate (MCA) were mixed into a vinyl ester resin. The method of making GFRP refractory specimens uses the hand lay-up method. GFRP is mixed and tested for fire resistance standard ORE B 106.2. The results obtained after the addition of 25% ATH, a mixture of 25% ATH with 5% MCA, 10% MCA with 25% ATH, and 15% MCA with 25% ATH, 25% ATH in the outer layer, and a mixture of 5% MCA with 25% ATH in the outer layer of the resin weight is able to increase fire resistance. Optimum GFRP fire resistance at the addition of 25% ATH to the weight of the resin in the outer layer. The result of the burned area is 84.84 cm² with a fire extinguishing time of 0.33 seconds after the fire source leaves the specimen. The results show that the mixture of ATH and MCA has a synergistic effect on fire resistance properties, so it becomes a recommendation for interior sidewall panels and ceiling panels on trains according to the ORE B 106.2 standard
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.

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