Article Per Year (5 Year)
p-Index From 2020 - 2025
1.978
P-Index
This Author published in this journals
All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA INTEK: Informatika dan Teknologi Informasi Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Infotekmesin Jurnal E-Komtek Journal of Innovation Information Technology and Application (JINITA) Jurnal Pengabdian Teknologi Tepat Guna Jurnal Riset Teknik Komputer
Prih Diantono Abda`u
Politeknik Negeri Cilacap
Religion Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Other

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Jurnal E-Komtek

 1 
Implementation of RESTful Web Service as Employee Data Integration on Oracle Database Technology and MariaDB Prih Diantono Abda`u; Nur Wahyu Rahadi; Andesita Prihantara
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 5 No 2 (2021)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v5i2.771

Abstract

Computer computer-based information systems at an institution are often built in stages and separately. Data integration between subsystems is not well connected. The results in differences in the data structures or the number of records between one subsystem and another so that the data presented is not aligned. This study aims to design and implement a RESTful Web Service so that other information subsystems can use employee data from the Management Information System. The four stages in this research are observing the information system currently running, analyzing the data integration needs, designing and coding the RESTful Web Service API, implementing and testing the response time.
Analysis of Water Quality Parameters on the Survival Rate of Vannamei Shrimp using the Random Forest Method Prih Diantono Abda'u; Ratih Hafsarah Maharrani; Zaenurrohman; Adrian Putra Ramadhan
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i2.2215

Abstract

This study developed a predictive model based on Random Forest algorithm to predict survival rate of Vannamei shrimp using five water quality parameters: dissolved oxygen (DO), temperature, pH, salinity, and Total Dissolved Solids (TDS). The model was trained on this data and evaluated using Mean Squared Error (MSE) and R² Score, with an MSE of 0.71 and R² Score of 1.00. Endpoint testing was conducted using Postman to verify the model response, with output parameters including anomaly_detected, recommendation, and survival rate. The model successfully detected anomalous conditions and provided recommendations according to the detected water quality parameters. Test results showed that DO and salinity had the greatest influence on survival rate, while pH, TDS, and temperature made moderate contributions.
Co-Authors Abdul Rohman Supriyono Adrian Putra Ramadhan Agus Susanto Agus Susanto Alina Mei Cahyaningtyas Andesita Prihantara Annas Setiawan Prabowo Antonius Agung Hartono Ari Kristiningsih Berliana Nafarita Hapshakh Cahya Vikasari Diva Nur Vadia Dwi Novia Prasetyanti Henderi . Hety Dwi Astuti Hety Dwi Hastuti Khoeruddin Wittriansyah Muhammad Nur Faiz Nur Chasanah Nur Wachid Adi Prasetya Nur Wahyu Rahadi Oman Somantri Ratih Hafsarah Maharrani Ratih Hafsarah Maharrani Riyadi Purwanto Santi Purwaningrum Santi Purwaningrum Zaenurrohman Zaenurrohman