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All Journal Jurnal Simetris JTET (Jurnal Teknik Elektro Terapan) Internet of Things and Artificial Intelligence Journal Applied Science and Technology Research Journal
Eko Harry Pratisto, Eko Harry
Universitas Sebelas Maret
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Journal : Applied Science and Technology Research Journal

 1 
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.
Design Build a Spider Robot Detector Fire Arduino based Furqon, M. Hafizul; Wahyu Ciptadi, Prahenusa; Hardyanto, R. Hafid; Pratisto, Eko Harry
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 1 No. 2 (2022): 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 | Full PDF (300.126 KB) | DOI: 10.31316/astro.v1i2.4644

Abstract

Fire is an event that is not desired by every human being. Fires can cause significant losses, both material and life losses. Every fire process always causes a fire in a place or room where a fire occurs. A fire that is still not too big can be detected using a robot. Detection of the source of the fire in the kitchen room is still difficult because it is not yet known by the occupants of the house who are in another room or outside the house. Residents of the house have difficulty finding hotspots that are still small, so a robot is needed that can detect the presence of these hotspots. One of the robots that can be applied in this situation is the spider robot. This study aims to implement fire sensor technology to detect fire using Arduino. Methods of data collection using literature study and observation. The application development phase includes analysis, system design, implementation, and testing. This program is implemented using ultrasonic sensors, wi-fi modules, servos, and fire sensors. Ultrasonic sensors as a protection system from robots and IR flame sensors as sensors to detect fire. The spider robot can detect fire and provide warnings through sound alarms and can provide notifications via messages in the WhatsApp application. The fire detection robot made can detect a fire by notifying WhatsApp messages and alarms when the robot detects fire. The test results show the tool can run well. This can be proven by the value of the test results that have been carried out
System Information Management Sales of TB Prima Keloran Equipment and Goods with the Waterfall Method Dwi Baskara, Yusril; Wibawa; Putri, Puji Handayani; Pratisto, Eko Harry
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 3 No. 2 (2024): 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.v3i2.7125

Abstract

In the digital era, many company switch to system information to improve efficiency and retrieval decision . However , Prima Keloran Building Store Still use method manual bookkeeping in management sales . This method face various weaknesses , such as risk error recording by employees , difficulties data access , and limitations in reporting as well as analysis sales . With growth business and increasing transaction volumes , the need will more system​ efficient become the more important . Implementation system information management sale with Waterfall method can become effective solution . This method follow step sequentially , starting from analysis need until implementation , so that allow developers to meet need specific shop in a way systematically . With system this , it is expected sales data management become more accurate and real-time, as well as analysis processes for planning strategic can made easier . Research This aims to design and implement capable system​ overcome constraint moment this and support development Prima Keloran Building Store business . With Thus , the implementation system This expected No only overcome existing problems , but also constructive ones a strong foundation for growth business in the future.
Co-Authors Abelia, Nevanda Agus Purbayu, Agus ardhi, ovide decroly wisnu Bahtiar, Firma Sahrul Danoetirta, Daffa Raszya Dwi Baskara, Yusril Fendi Aji Purnomo, Fendi Aji Furqon, M. Hafizul Hana Septi Ariani, Hana Septi Hastono, Tri Lestari, Inda Puji Luky Adrianto Munandar, Noris Sugeng Putri, Puji Handayani R. Hafid Hardyanto, R. Hafid Rahmawati Sunaryo, Azzahra Sahrul, Firma Taufiqurrakhman NH, Taufiqurrakhman NH Wahyu Ciptadi, Prahenusa Wibawa