Article Per Year (5 Year)
p-Index From 2021 - 2026
4.796
P-Index
This Author published in this journals
All Journal Creative Information Technology Journal J I M P - Jurnal Informatika Merdeka Pasuruan Jiko (Jurnal Informatika dan komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Tekno Kompak Jurnal Pengabdian Kepada Masyarakat (Mediteg) Infotekmesin Jurnal Teknik Informatika (JUTIF) Information System Journal (INFOS) Jurnal Kewarganegaraan Journal of Applied Computer Science and Technology (JACOST) International Journal of Computer and Information System (IJCIS) Transformasi Jurnal Teknik Informatika dan Desain Komunikasi Visual AGORA : Jurnal Penelitian dan Karya Ilmiah Arsitektur Usakti Jurnal Masyarakat Mengabdi Nusantara Jurnal Kabar Masyarakat Jurnal Riset Sistem dan Teknologi Informasi Aksi Nyata : Jurnal Pengabdian Sosial dan Kemanusiaan Green Engineering: Journal of Engineering and Applied Science Jurnal Teknik Informatika dan Desain Komunikasi Visual
Yusuf Wahyu Setiya Putra
STMIK Bina Patria
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

Published : 34 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 34 Documents
Search

 1   2   3   4 
RANCANG BANGUN SISTEM INFORMASI PERIZINAN TATA LINGKUNGAN DINAS LINGKUNGAN HIDUP BERBASIS WEB Putra, Yusuf Wahyu Setiya; Mila, Tri Yusuf Suyatno; Mila, Didin Herlinudinkhaji; adminjfik, adminjfik
Jurnal Teknik Informatika dan Desain Komunikasi Visual Vol 1 No 1 (2022): Jurnal Teknik Informatika dan Desain Komunikasi Visual
Publisher : Fakultas Komputer Dan Desain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51792/jtd.v1i1.05

Abstract

This web-based designing and building of the Environmental Planning Licensing Informastion System of Kendal Regency was created to help and improve the licensing services in the Environmental Management Field of the Environmental Service of Kendal Regency. The purpose of this study was to create a web-based data processing information system aimed at administrator and officers of the Environmental Service of Kendal Regency and also visitors or permit applicants to observe their submitted application.This research used data collection methods by observation, interviews, and literature studies as well as system development methods using the Linear Sequential Model or Watefall Model. The Waterfall Method has some steps, namely data collection, analysis, design, implementation / coding, testing, operation, and maintenance. The reason for choosing this method was the method must be carried out systematically or sequentially and each step has its own focus, so that the system can be developed based on the wish. The system design method used is the Data Flow Diagram (DFD) method.The result of this study is an environmental planning licensing informastion system that manages submission data, licensing data, submission requirements, checklist requirements, photo data, message boxes, and visitor pages with a search system to help the applicants finding information relate to the processing of the file that has been submitted.
THE BEST TOURISM RECOMMENDATION SYSTEM IN YOGYAKARTA CITY WITH THE INTEGRATION OF MFEP AND K-MEANS CLUSTERING METHODS Setiya Putra, Yusuf Wahyu; Muqorobin, Muqorobin
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 3 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i3.10670

Abstract

Yogyakarta is one of the leading tourist destinations in Indonesia with diverse attractions, ranging from cultural, historical, to natural attrac-tions, which often pose challenges for tourists in determining tourist destinations according to their preferences. This study aims to develop a recommendation system for the best tourist destinations in Yogya-karta City through the integration of the Multifactor Evaluation Pro-cess (MFEP) and K-Means Clustering methods. MFEP is used to rank destinations based on five main criteria, namely location, accessibility, facilities, cost, and uniqueness, with weights obtained from the results of tourist preference surveys. The ranking results are then analyzed using K-Means Clustering to group destinations into three categories of tourism potential, namely high, medium, and low, based on addi-tional parameters such as strategic location, number of attractions, and number of visitors. The results of this study prove that the integration of MFEP and K-Means is able to produce fast, accurate, and informa-tive recommendations, and can be used by tourists and tourism manag-ers in strategic planning and decision-making. System functionality testing using the black box method shows that all features run as need-ed, while clustering quality testing using the Silhouette Coefficient method produces very good clustering quality with an average score of 0.9552.
Sustainable Water Desalination Using Solar-Powered Nanofluid-Based Evaporation Systems Yusuf Wahyu Setiya Putra; Kanafi Kanafi; Fatkhurrochman Fatkhurrochman
Green Engineering: International Journal of Engineering and Applied Science Vol. 1 No. 2 (2024): April: Green Engineering: International Journal of Engineering and Applied Scie
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenengineering.v1i2.244

Abstract

This study explores the use of graphene-based nanofluids in enhancing the performance of solar-powered desalination systems. A laboratory-scale desalination system was developed to simulate the evaporation process, powered by solar energy, with the integration of graphene-based nanofluids to improve thermal efficiency. The experimental setup measured evaporation rates, energy consumption, and temperature profiles under varying solar radiation conditions (400–800 W/m²). Results revealed that the system with nanofluids demonstrated up to a 35% increase in evaporation rates compared to the baseline system without nanofluids, indicating enhanced heat transfer properties. Moreover, energy consumption was reduced by up to 20%, highlighting the improved energy efficiency of the system with nanofluids. The system with nanofluids exhibited higher temperatures in the evaporator, confirming more effective thermal utilization. Statistical analyses, including t-tests and regression analysis, confirmed the significant impact of nanofluids on both evaporation rates and energy consumption. This study demonstrates that graphene-based nanofluids offer a sustainable and energy-efficient solution for solar-powered desalination, particularly in areas with abundant solar radiation. The integration of nanofluids not only enhances the efficiency of the desalination process but also reduces operational costs, making it a promising alternative for addressing water scarcity in a sustainable manner. Further research is needed to optimize nanofluid formulations and assess their long-term feasibility for large-scale applications.
Proximal Policy Optimization for Adaptive Resource Allocation in Mobile OS Kernels: Enhancing Multitasking Efficiency Machmudi, Moch. Ali; Putra, Yusuf Wahyu Setiya; Naim, Abdul Ghani
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5448

Abstract

Traditional mobile operating system (OS) schedulers struggle to maintain optimal performance amidst the increasing complexity of user multitasking, often resulting in significant latency and energy waste. This study aims to integrate a Proximal Policy Optimization (PPO) based Reinforcement Learning (RL) framework for predictive and adaptive resource allocation. Methodologically, we formulate the scheduling problem as a Markov Decision Process (MDP) where States (S) encompass CPU load, memory usage, and workload patterns; Actions (A) involve dynamic core affinity, frequency scaling, and cgroup adjustments; and Rewards (R) are calculated based on a weighted trade-off between performance maximization and energy conservation. A PPO actor-critic network is implemented and trained on a modified Android kernel (discount factor γ=0.99) under simulated high-load scenarios, including simultaneous video conferencing, data downloading, and web browsing. Experimental results demonstrate that the proposed RL mechanism reduces average task latency by 18% and boosts system responsiveness by 25%, while simultaneously achieving a 12% reduction in CPU power consumption compared to the baseline scheduler. These findings pioneer intelligent OS informatics, offering a robust foundation for sustainable multitasking for over a billion Android users through scalable, on-device fine-tuning.
Co-Authors Abdurrahman Wibisono Mila adminjfik adminjfik adminjfik, adminjfik Afif, Hasnan Ahmad Fakhrudin Mila Ailul Ulun, Nutfah Andre Kurniawan Cisilia Sundari Didin Herlinudinkhaji, Didin Dwi ASTUTI Fatimah Nur Arifah Fatkhurrochman Fatkhurrochman Ferry Wahyu Wibowo Hasnan Afif Mila Ita Permatahati Kanafi Kanafi Kapti Kapti Kusrini Kusrini Machmudi, Moch Ali Machmudi, Moch. Ali Mila, Ahmad Fakhrudin Mila, Didin Herlinudinkhaji Mila, Tri Yusuf Suyatno Mira Fitriana Muhamad Teguh Prayitno Muhammad Abdul Muin Muhammad Fadlil Adhim Muhammad Rafidan Birul Arzaq Muqorobin, Muqorobin Naim, Abdul Ghani Nugroho, Fajar Yogi Nurul Hardiyanti Nutfah Ailul Ulun Rafidan Birul Arzaq, Muhammad Riska Dwi Handayani Sri Waluyo Sukris Sutiyatno susilo, Gatot Tri Yusnanto Tri Yusuf Suyatno Mila Wibisono, Abdurrahman