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Rahmadya Trias Handayanto
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rogram Studi Teknik Komputer Fakultas Teknik Universitas Islam 45 Jl. Cut Meutia No. 83 Bekasi 17113
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PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic
Published by Universitas Islam 45 Bekasi
ISSN : 23033304     EISSN : 26203553     DOI : https://doi.org/10.33558/piksel
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal PIKSEL diterbitkan oleh Universitas Islam 45 Bekasi untuk mewadahi hasil penelitian di bidang komputer dan informatika. Jurnal ini pertama kali diterbitkan pada tahun 2013 dengan masa terbit 2 kali dalam setahun yaitu pada bulan Januari dan September. Mulai tahun 2014, Jurnal PIKSEL mengalami perubahan masa terbit yaitu setiap bulan Maret dan September namun tetap open access tanpa biaya publikasi. p-ISSN: 2303-3304, e-ISSN: 2620-3553. Available Online Since 2018.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol 10 No 1 (2022): March 2022" : 6 Documents clear
Design of Web-Based Helpdesk Ticketing System at PT DENSO Indonesia Eduard Pangestu Wonohardjo; Annan Hutomo Putra; Emny Harna Yossy
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 1 (2022): March 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i1.3183

Abstract

PT DENSO Indonesia currently has a helpdesk ticket system based on IBM Lotus Notes. The system is currently not being used optimally because it has limited features, depends on the platform provider, and the source code is difficult to develop. The company has also taken a policy this year not to continue the subscription process to the platform provider. The purpose of this study is to analyze the current business processes and propose a new system model that is computerized, as needed, reliable, and does not depend on a particular platform. The system was developed based on a website using the Extreme Programming (XP) method as a Software Development Life Cycle (SDLC), Unified Model Language (UML) notation as document design, and calculation of completion rate and time-based efficiency in measuring system effectiveness and efficiency. The website-based helpdesk ticketing system was successfully implemented as a new system model that runs independently and has easy-to-develop source code. The system also has a completion rate of 86% and a time-based efficiency of 0.00924 goal/sec based on a problem reporting scenario with 15 participants.
Evaluation of ERP Oracle Netsuite System for Purchasing Management Module at PT PQR using UTAUT2 Method Richard Richard; Indira Damayanti; Mutia Annisa Nabilla; Almaida Aviani
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 1 (2022): March 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i1.3273

Abstract

The purpose of the study was to evaluate the acceptance, use, and behavior of users towards the use of ERP Oracle NetSuite systems in the Purchasing Management module by analyzing how UTAUT2’s variables affected the user acceptances towards ERP Oracle NetSuite. The research method used is the UTAUT2 method, by conducting field studies to obtain information related to PT PQR and literature studies to support the theoretical data collection and analysis method to measure the user acceptance of ERP in the Oracle NetSuite Purchasing Management module system. In this study, 52 samples were collected using the saturated sample technique questionnaires. The data was analyzed using SEM-PLS with SmartPLS 3.0. The conclusion obtained from the results of this study is to focus more on improving performance expectancy, habit, and behavioral intention in using Oracle NetSuite ERP.
Enhanced Face Image Super-Resolution Using Generative Adversarial Network Bagus Hardiansyah; Elvianto Dwi Hartono
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 1 (2022): March 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i1.4158

Abstract

We proposed an Enhanced Face Image Generative Adversarial Network (EFGAN). Single image super-resolution (SISR) using a convolutional is often a problem in enhancing more refined texture upscaling factors. Our approach focused on mean square error (MSE), validation peak-signal-to-noise ratio (PSNR), and Structural Similarity Index (SSIM). However, the peak-signal-to-noise ratio has a high value to detail. The generative Adversarial Network (GAN) loss function optimizes the super-resolution (SR) model. Thus, the generator network is developed with skip connection architecture to improve performance feature distribution.
Web-Based Recommender System for High School Major Decision Using Forward Chaining Ira Wardani; Prima Dina Atika; Herlawati Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 1 (2022): March 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i1.4402

Abstract

Education is a learning process for students to develop their potential skills. One of the vocational schools is the State Vocational High School (SMK) 05 Bekasi, that educates students to have high expertise in industrial fields. However, not every student can choose the right major, there are students who choose majors based on the wishes of their parents, and do not know their real potential and abilities, so that the abilities of students are not in accordance with the majors they have chosen. One way that can be used to help choose the right major is to take a preference test that is assessed by a psychologist or the Counseling Guidance section. This method is quite effective, but it takes time especially for large numbers of student. Therefore, the researcher created a website-based recommendation system to identify majors using the Forward Chaining method. The purpose of the research is to make a recommendation system to determine the majors that students will choose. The application are developed using the System Development Life Cycle.
Team-Teaching-Based Course Scheduling Using Genetic Algorithm Rafika Sari; Khairunnisa Fadhilla Ramdhania; Rakhmat Purnomo
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 1 (2022): March 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i1.4416

Abstract

Scheduling problems occur in various fields, e.g., education, health institutions, transportation, sports, etc. Main scheduling problems in education is course scheduling which creates schedules for students and lecturers. In this study, course scheduling allocates the lecturers in the form of team teaching and courses into the class and a certain time to even out the workload of lecturers per day and a group of students per day in one week without breaking the constraint. The method used in this research is a genetic algorithm where Universitas Bhayangkara Jakarta Raya as the case study. The genetic algorithm process is done by getting several candidate solutions that undergo a process of selection, mutation, and crossing over to produce chromosomes with the best fitness values. The objective function in this research is minimizing the average variance of the workload of lecturers and students per day in one week. The parameters used in genetic algorithm are determined based on the Design of Experiments mechanism (DOE). The optimal parameter values ​​used to run the program are as: population size = 50, with probability of crossing over = 0.4 and probability of mutation = 0.008. The results of scheduling with genetic algorithms show that the value of the workload variance lecturers and students by considering team teaching is better than actual scheduling. The application of the genetic algorithm method results in a decrease in the standard value deviation of the workload of lecturers and a group of students in one week is 0.114 (3.68%) and 3.11 (55.7%). In addition, course scheduling uses a genetic algorithm with consider team teaching better than genetic algorithm without considering team teaching because there is no class schedule that clashes in real conditions.
Decision Tree-Based Weather Prediction Achmad Noeman; Dwipa Handayani; Abrar Hiswara
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 1 (2022): March 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i1.4418

Abstract

Weather is formed from a group of weather elements and can be changed fast. For example, in the morning, afternoon, or evening, the weather can be different for each place and every hour. Weather is the condition of the air that occurs in a narrow place and lasts for a short time. Weather conditions in a place can be determined by many factors, such as air pressure, humidity, wind, sunlight, and so on. Therefore, by looking at these factors it can be estimated the weather that will occur the next day. Fishermen and farmers are fields of work that are closely related to weather forecasting, accurate and fast weather predictions are needed by these fields to carry out various activities. The amount of rainfall that occurs cannot be determined exactly but can be predicted or estimated. The application of determining weather information is needed, hence, the prediction can be utilized optimally by the community. The design of a system that will classify automatically can be developed by applying machine learning methods, one of them is used in this study, i.e., C.4.5 Algorithm using weather data that a reference in determining the weather conditions whether not rainy, rainy, light rain, or heavy rain.

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