Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Teknik Informatika (JUTIF)
Naim, Abdul Ghani
Unknown Affiliation
Computer Science & IT

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
ANALYSIS OF GRABAG GUIDE APPLICATION ACCEPTANCE FOR INTRODUCTION TO TOURIST ATTRACTIONS USING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) Setiya Putra, Yusuf Wahyu; Machmudi, Moch Ali; Naim, Abdul Ghani
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1925

Abstract

This research aims to analyze application user acceptance of the tourism introduction Android application in Grabag District, Magelang Regency using three (3) variables contained in the TAM (Technology Acceptance Model) model, namely Attitude towards Use, Perception of Ease of Use and Perception of Usefulness. This research needs to be carried out to resolve the problem of application acceptance which has an impact on the level of tourist visits, so that later application development and improvements can be carried out according to needs. The respondents used were 81 users consisting of sub-district officers, business or tourism owners and tourists. To obtain data whose validity and reliability have been tested and then analyzed using multiple linear regression techniques, a data collection method using a questionnaire was used. The results of the analysis of the 1st regression equation show that the Perception of Usefulness variable (X1) has a significant influence on the Attitude towards Use variable (Y). The Perception of User Ease variable (X2) has a significant influence on the Attitude towards Use variable (Y). The results of the analysis of the 2nd regression equation show that variables X1 and X2 together have a significant influence on Attitude to Use (Y).
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 Machmudi, Moch Ali Machmudi, Moch. Ali Yusuf Wahyu Setiya Putra