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Setyo Eko Atmojo
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LPPM Universitas PGRI Yogyakarta Jl. PGRI I Sonosewu No. 117 Daerah Istimewa Yogyakarta 55182 Indonesia
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Applied Science and Technology Research Journal
Published by Universitas PGRI Yogyakarta
ISSN : ""     EISSN : 29636698     DOI : https://doi.org/10.31316/astro.v2i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Applied Science and Technology Research Journal specifically focuses on problems in the development of Research in science and technology
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 6 Documents
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Search results for , issue "Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal" : 6 Documents clear
Design Get up Application E-Commerce Based Web Using the Agile Kanban Method ( Case Study at Bandung Digital Marketing Friends ) Hermawan, Irman; Indriani, Indriani
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v2i2.5392

Abstract

Study This gives a clear view of How a company can face problem displacement sales from marketplaces to e-commerce websites, companies realize that depending on the marketplace it has a number of limitations and challenges.From the problems mentioned above, then _ proposed For building purposeful web application For design and develop web-based e-commerce application. In this process, System web applications use modeling Draw Io system, with PHP programming language, and phpMyAdmin database, PHP Framework Laravel 9.Test results on the system This shows that from the results Index percentage earned on each _ statement pointed out average results the percentage is 74.66% With results, then it is stated in testing to achievement utility application stated worthy accepted with Satisfactory status
Design And Analysis of 3D Printable Prosthetic Foot with Honeycomb Structure Kumarajati, Dhananjaya Yama Hudha
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v2i2.5628

Abstract

This study designs and analyzes a 3D printable prosthetic foot with a honeycomb structure, which has many benefits for prosthetic foot design and analysis. The honeycomb structure can provide high strength and stiffness with low weight and material consumption, variable stiffness and damping properties, and biomimetic structure and function. This study uses 3D printing technology and finite element analysis (FEA) to design and fabricate the prosthetic foot and to evaluate its performance under different loading scenarios. The results show that the prosthetic foot has a satisfactory performance and meets the biomechanical requirements of the human foot. The results also show that 3D printing technology and FEA are reliable and valid tools for prosthetic foot design and analysis. This study contributes to the development of better and more affordable prosthetic feet and provides useful insights and guidelines for future research and practice.
Implementation Network Nerves Imitation Using the Backpropagation Method For Prediction Sale Groceries Nuraitul Janah , Siti; Hastono , Tri; Nurmala, Nurmala; Nor Azhari Azman, Mohamed
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v2i2.5796

Abstract

Abstract The sale of groceries is one of the important things _ in the retail industry, Predicting the sale of groceries accurately can help the company in planning supplies, and making decisions for business. In implementing network nerves imitation backpropagation method as tool predictions For sale basic food.Method This can used To practice network nerve imitation to recognize patterns and relationships between influencing factors _ _ in the sale of groceries, like price, promotion, and economic factors. Data sale collected groceries _ from periods previously used as a training dataset For practice network nerves imitation. Aside from That For shows that implementation network nerves imitation with backpropagation method can give predictions of sales enough basic necessities accurate predictions This is also used by other companies for optimizing inventory, managing promotional strategies, and responding to change conditions company with more effectively. .
Multi-Layer Perceptron Model for Dota 2 Game Results from UCI Using MLP Classifier Yudhistira, Galih; Aliya Widiastuti, Pika; Rahyuni, Rahyuni; Hastono, Tri; Harry Pratisto, Eko
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v2i2.5797

Abstract

Dota 2 is a genre game Moba in the PC (Personal Computer) system battle arena game online (online) with multiplayer ( bringing together 2 players in 1 machine ). Game Dota 2 consists of 2 opposing teams To get the victory, every team has 5 players who can choose hero 1 from 121 different heroes. Study This discusses the use of the Multi-Layer Perceptron (MLP) model to predict the results Dota 2 game. The author uses the UCI dataset containing historical data of Dota 2 matches, processed and trained with the MLP model using MLPClassifier from the scikit learn Python library. The data preprocessing process includes normalization features and handling of missing data. Training involves hyperparameter selection and validation cross To prevent overfitting. Although the MLP model is successful in predicting results with accuracy high, the author takes notes room For improvement, like additional features or the use of more models complex. In research, This obtained results with Accuracy Train results: 68.06%, Accuracy Test: 58.00%, Accuracy Precision: 58.53%, Accuracy Recall: 73.50%, Accuracy f1: 63.39%.
Network Nerves Mock Backpropagation Prediction Graduation Student Elementary School With Practice Values Exam Rahmawati Sunaryo, Azzahra; Abelia, Nevanda; Hastono, Tri; Pratisto, Eko Harry
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v2i2.5798

Abstract

The backpropagation method is a computer technique to help predict and sort data. This method is usually used to change the connection between parts of the computer's brain in the hidden layer. Meanwhile, the Nervous System Network (ANN) is an information-processing system that is very similar to the function of human brain cells. Value is a benchmark for a student's graduation, if the student's score is getting better, the more opportunities for the student's graduation. In predicting this pass using the method of Artificial Neural Networks (ANN), namely Backpropagation, and using Matlab software with the MSE (Mean Square Error) result of 0.099512.
Web-Based Project Work Management Information System Development (Case: CV. Trijaya Abadi Electric) Arsyad Maulana , Faruq; Wibawa, Wibawa; Kusuma Wardana , Ari
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v2i2.5799

Abstract

This research was conducted to build a System Information Management Project with efficient, effective, and easy as well as can count budget work, budget shopping, budget wages employees, Manage presence employees, count payroll in a way, got it make report payroll. and reports readiness Work on discussion budget. This research was carried out through four stages, namely 1. Planning ( planning ), 2. Analysis ( analysis ), 3. Design ( designing ), and 4. Implementation ( application ). Development System Information Management Work Project Web Based ( Case Study: CV. Trijaya Abadi Electric). CV. Trijaya Abadi Electric has so far managed everything related to work, still using manual systems such as employee absences verbally to superiors, work progress verbally, payroll still using Microsoft Excel, and work management that has not been fully organized causing data input errors. and budget calculations that are often missed, resulting in errors in invoices and tender notes. The process of calculating the shopping budget and equipment rental along with worker salaries must be maximum and optimal so that there are no errors in the bookkeeping so that it is clear that the profits obtained are in accordance with the calculations.

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