cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Setyo Eko Atmojo
Contact Email
setyoekoatmojo@yahoo.co.id
Phone
+6285225998365
Journal Mail Official
lppm@upy.ac.id
Editorial Address
LPPM Universitas PGRI Yogyakarta Jl. PGRI I Sonosewu No. 117 Daerah Istimewa Yogyakarta 55182 Indonesia
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
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 12 Documents
 1   2 
Search results for , issue "Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal" : 12 Documents clear
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.

Page 2 of 2 | Total Record : 12

 1   2 

Filter by Year

2023 2023


Reset
Filter By Issues
All Issue Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal Vol. 4 No. 1 (2025): Applied Science and Technology Research Journal Vol. 3 No. 2 (2024): Applied Science and Technology Research Journal Vol. 3 No. 1 (2024): Applied Science and Technology Research Journal Vol. 2 No. 2 (2023): Applied Science and Technology Research Journal Vol. 2 No. 1 (2023): Applied Science and Technology Research Journal Vol. 1 No. 2 (2022): Applied Science and Technology Research Journal Vol. 1 No. 1 (2022): Applied Science and Technology Research Journal