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All Journal JOIV : International Journal on Informatics Visualization Jurnal Rekayasa Material, Manufaktur & Energi International Journal of Multidisciplinary Research and Literature (IJOMRAL) IJIMCE : International Journal of Innovation in Mechanical Construction and Energy GreenTech IJIS Edu : Indonesian Journal of Integrated Science Education
kusuma, Yuda Perdana
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Perbandingan Alogaritma Machine Learning Untuk Prediksi Sifat Mekanik Pada Baja Paduan Rendah Leni, Desmarita; kusuma, Yuda Perdana; Sumiati, Ruzita; ., Muchlisinalahuddin; ., Adriansyah
Rekayasa Material, Manufaktur dan Energi Vol 5, No 2: September 2022
Publisher : Fakultas Teknik UMSU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/rmme.v5i2.11407

Abstract

The development of industrial technology encourages companies to be selective in determining the mechanical properties of materials, one of which is low-alloy steel. The purpose of knowing the mechanical properties of low alloy steel is to support the success of a construction product, transportation, machine elements, and so on. Heat treatment of metal is one of the test methods to determine the mechanical properties of steel by heating the steel at a certain temperature. The selection of low alloy steel composition has various variations to be applied so as to obtain the desired mechanical properties. The mechanical properties of low-alloy steel are strongly influenced by the composition contained in the steel. If the composition of the steel is added to a new element, the mechanical properties of the steel will change, so it needs to be retested. This research uses machine learning modeling to predict the mechanical properties of low-alloy steels based on their chemical compositions. This study compares three algorithms, namely decision tree (DT), random forest (RF), and artificial neural network (ANN), where the ANN algorithm has better performance by producing an RMSE value of 6.187 with training cycle parameter settings of 30.000, learning rate 0.007, momentum 0.9, and size of hidden layer 9.
THE EFFECT OF TEMPERATURE AND ROASTING TIME ON CHANGES IN THE CHARACTERISTICS AND PHYSICAL PROPERTIES OF SOLOK ARABIKA COFFEE BEANS K, Arwizet.; Leni, Desmarita; Peng, Lim Hooi; Sumiati, Ruzita; Kusuma, Yuda Perdana
International Journal of Multidisciplinary Research and Literature Vol. 3 No. 1 (2024): INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND LITERATURE
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijomral.v3i1.202

Abstract

High-temperature coffee roasting is a key initiator of the degradation of complex compounds in coffee beans, ultimately producing the desired taste and aroma for coffee enthusiasts. The aim of this research is to explore the influence of temperature and roasting duration on the changes in the mechanical properties of coffee beans using the conduction heat method. In this study, 500 grams of dried Arabica coffee with an initial moisture content of 12% were placed in a roasting apparatus equipped with a roasting machine. The heat source used was a gas stove, where the surface temperature of the roasting chamber was kept constant through a thermocouple temperature measuring device. The roasting process was carried out for 15 minutes at surface temperatures of 160°C, 180°C, 200°C, and 220°C, respectively. The final moisture content for each surface temperature was 3.72%, 3.65%, 2.13%, and 1.81%. Identification of the degree of roasting was conducted through the evaluation of the physical properties of coffee beans, including color, weight loss, moisture content, texture, and bean density. The decrease in hardness and density could be modeled using kinetic equations, while the color change was indicated by a decrease in the L, a, and b values. The research results confirm that roasting temperature significantly impacts the changes in the mechanical properties of coffee beans. The minimum temperature required to achieve satisfactory roasting levels is 180°C, while roasting at 200°C for 15 minutes produces coffee beans with optimal roasting levels. These findings provide new insights into optimizing the coffee roasting process to achieve the desired quality of coffee beans
Design of a Rotary Table Hydroponic System for Agricultural Improvement in Limited Urban Land Predi Maulana Putra; Leni, Desmarita; Muchlisinalahuddin, Muchlisinalahuddin; Hendra, Hendra; Kusuma, Yuda Perdana
IJIMCE : International Journal of Innovation in Mechanical Construction and Energy Vol. 1 No. 1 (2024): IJIMCE : International Journal of Innovation in Mechanical Construction and Ene
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijimce.v1i1.10

Abstract

This research focuses on the design of a rotary table hydroponic device for effective, efficient, and space-saving plant growth. With machine dimensions of 1570 x 600 x 2360 mm, a frame made of 2 mm thick 30 x 30 mm galvanized hollow steel, and a 1.5 HP electric motor, the machine is engineered to maximize land utilization in hydroponic methods. Stress analysis on the frame reveals maximum and minimum values of 3,631e+01 MPa and 2,064e-03 MPa, respectively, while the safety factor reaches 1,211e+05 and 6,886e+00, surpassing the safety factor range for static loads. The results of this experiment confirm the effectiveness and safety of the design, demonstrating that this rotary table hydroponic device can be optimally utilized in hydroponic plant cultivation.
Design and Construction of Mini Single Turbine PLTU Demonstration Equipment: As a Thermodynamics Learning Media K, Arwizet; Leni, Desmarita; Lapisa, Remon; Kusuma, Yuda Perdana; Anugrah, Pinto
IJIS Edu : Indonesian Journal of Integrated Science Education Vol 6, No 1 (2024): January 2024
Publisher : UIN Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/ijisedu.v6i1.2386

Abstract

Thermodynamics is often considered difficult for students to grasp because it involves abstract concepts that are challenging to visualize without visual aids or physical demonstrations. This research involves the design of a mini power plant trainer as a teaching tool to visualize basic thermodynamics concepts, such as heat transfer, conversion of heat energy into mechanical energy, phase change from steam to liquid, and thermal efficiency. The trainer is designed according to the requirements of the system provided by the thermodynamics lecturer at the State University of Padang, taking into consideration the teaching material and safety aspects. The power plant trainer consists of four main components, including a boiler with a 15-liter water capacity equipped with an automatic sensor stove that can shut off when it reaches 4 bars of pressure and restarts when it drops below 4 bars, a single propeller turbine, a 12-volt generator, and a vertical condenser with coolant flow in the same direction as the steam flow. The testing results of the trainer yielded a boiler efficiency of 46%, thermal efficiency of 21%, with the steam power generated by the boiler at approximately 1734 Watts, condenser power at 1478 Watts, cooling power to convert wet steam into liquid at 119 Watts, and turbine power at 375 Watts. The maximum electrical power reached 2.94 Watts with a voltage of 12 volts and a current of 0.21 amperes. It took 31 minutes to heat 15 liters of water in the boiler to steam with a temperature of 146°C and a pressure of 58 Psi. The trainer can be operated (can rotate the generator) for 4 minutes until the steam pressure drops to 20 Psi. Based on the testing results, the trainer can be operated smoothly and is capable of illustrating difficult thermodynamics concepts that are hard to visualize. Therefore, in an effort to enhance the quality of learning, this trainer can be used as a simulation tool for thermodynamics education.
Sistem Informasi Alsintan Berbasis Web Menggunakan CMS (Content Management System) Wordpress di Balai Pengkajian Teknologi Pertanian (BPTP) Sumatera Barat Santosa, Santosa; Azrifirwan, Azrifirwan; Kusuma, Yuda Perdana
GreenTech Vol. 1 No. 2 (2024)
Publisher : Departmen Of Agro-industrial Technology, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/greentech.v1i2.17

Abstract

Penelitian ini dilakukan di Balai Pengkajian Teknologi pertanian Sumatera Barat (BPTP SUMBAR). Tujuan dari penelitian ini adalah membuat sebuah sistem informasi mengenai Alsintan yang ada di BPTP Sumbar berbasis website menggunakan CMS wordpress. Sistem informasi Alsintan ini dirancang untuk mempermudah mahasiswa, peneliti, dan petani dalam mencari informasi Alsintan yang ada di BPTP Sumbar. Penelitian ini menggunakan metode pengembangan dengan pendekatan beberapa langkah: (1) analisis, (2) desain, dan (3) pengujian. Sumber data dari penelitian ini yaitu data primer yang diperoleh dari pengujian langsung terhadap satu mesin pemipil jagung model CS-2M yang ada di BPTP Sumbar dan wawancara. Data sekunder didapatkan dari jurnal yang ada di BPTP Sumbar. Telah dihasilkan (1). Sistem informasi alat dan mesin pertanian yang ada di BPTP Sumbar berbasis website (2). Mendapatkan hasil penelitian mesin pemipil jagung model CS-2M yang sesuai dengan test report mesin tersebut.
Design and Construction of a Fish Seed Counting Tool Using Infrared Proximity Sensors Based on PLC and HMI Erawadi, Dedi; Berlianti, Rahmi; Hendra; Vitto Andrivanly; Kusuma, Yuda Perdana
IJIMCE : International Journal of Innovation in Mechanical Construction and Energy Vol. 1 No. 2 (2024): IJIMCE : International Journal of Innovation in Mechanical Construction and Ene
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ijimce.v1i2.32

Abstract

Fish hatcheries are a significant endeavor in aquaculture with promising economic potential. However, the manual process of counting fish seeds is time-consuming and inefficient. This paper examines a prototype of a fish seed counting device based on a Programmable Logic Controller (PLC) and Human Machine Interface (HMI) that can expedite the counting process. The device is designed using infrared proximity sensors, a DC power window motor, a solenoid valve, and is controlled by a PLC and HMI. The infrared proximity sensor is placed under the fish passageway to detect fish presence. The counting results are displayed on the HMI screen. After counting, the DC motor closes the fish passageway, and the fish in the plastic packaging are automatically tied for oxygen filling. Testing results indicate that this fish seed counting device functions well and can improve the efficiency of the fish seed counting process
Design of Tools for Visualizing Thermodynamic Concepts in Steam Power Plant Trainer Processes with Web-Based Exploratory Data Analysis (EDA) Karudin, Arwizet; Leni, Desmarita; Lapisa, Remon; Kusuma, Yuda Perdana; Abbas, Muhammad Rabiu
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2139

Abstract

Thermodynamics is considered one of the most complex and challenging subjects for many students. This is primarily due to comprehending abstract concepts such as entropy, enthalpy, and energy flow, which involve complex mathematical equations and are rarely accompanied by tangible visualizations. This research aims to design, develop, and test a data-based visualization tool for thermodynamics testing results. This study collected and processed data from thermodynamics testing and simulations, such as the mini-steam power plant trainer used as a teaching aid in thermodynamics education, as the foundation for designing a data-based visualization tool for thermodynamics concepts. The visualization tool was created using the Python programming language integrated with the web-based Streamlit framework. The designed visualization tool encompasses various features, including automated data reporting, visualization of variable correlations using correlation heatmaps, Sankey diagrams for visualizing energy flow, and the capability to predict electrical output using machine learning integrated with three different machine learning algorithms. The visualization tool was evaluated by thermodynamics experts using a Likert scale. Based on the results obtained, the experts gave an average score of 4 in the information accuracy aspect in the good category. This shows that the information displayed in this visualization tool is by thermodynamics learning at Padang State University. In the visualization aspect, experts gave an average score of 4.25, which is in the Good and Very Good range. In alignment with the education aspect, experts gave an average score of 3.75, which is close to the good category. This shows that this aspect is considered suitable for studying thermodynamics, although shortcomings still need to be corrected. Experts gave a relatively high assessment of the Ease-of-Use aspect, with an average score of 4.5, with a range of Good and Very Good. This enables students to better understand complex patterns, cause-and-effect relationships, and parameter changes within thermodynamics concepts.
Co-Authors ., Adriansyah ., Muchlisinalahuddin Abbas, Muhammad Rabiu Anugrah, Pinto Arwizet Arwizet, Arwizet Azrifirwan, Azrifirwan Dedi Erawadi Desmarita Leni Hendra Hendra Hendra Muchlisinalahuddin Peng, Lim Hooi Predi Maulana Putra Rahmi Berlianti Remon Lapisa Ruzita Sumiati Santosa Santosa Vitto Andrivanly