cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Rahmadya Trias Handayanto
Contact Email
rahmadya.trias@gmail.com
Phone
-
Journal Mail Official
piksel.unisma@gmail.com
Editorial Address
rogram Studi Teknik Komputer Fakultas Teknik Universitas Islam 45 Jl. Cut Meutia No. 83 Bekasi 17113
Location
Kota bekasi,
Jawa barat
INDONESIA
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 304 Documents
 22   23   24   25   26 
Determining Sales Patterns Using the Apriori Algorithm: A Case Study of Unlocked Cafe's Website Applications Sari, Rafika; Helmy, Nur; Alexander, Allan Desi
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.8908

Abstract

In the business world, the sales process is the key to a company's success. Business processes will involve a lot of transaction data which will increase over time. This accumulation of data will not provide meaningful information if it is not processed and utilized properly. Correct decision making is obtained from accurate and informative data. This research was conducted to analyze, simulate and digitize data in the form of a website-based system which can be used as recommendations in making business decisions. The application of the Apriori algorithm supports system development in determining sales patterns by providing an overview of sales patterns for products of interest so that sales association rules are obtained. This research dataset was taken from transactions at the Unlocked Café & Coffee shop. The result of this research is an application designed according to the needs of business owners in the form of selecting itemsets by applying the Apriori algorithm to produce output in the form of product stock reference data and product sales patterns.
Real Time Mask Detection Using Viola Jones Method Guslianto, Safrida Ika; Khairunnas, Khairunnas; Khusna, Tachiyya Nailal; Jannah, Miftahul
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9028

Abstract

The coronavirus disease (COVID-19) pandemic requires us to wear masks when doing direct contact with other people. The use of masks is mandatory in some places to break the chain of the spread of the COVID-19 virus. The spread of this virus occurs through the respiratory tract. Wearing masks is a form of our efforts to suppress the spread of this virus. This study detects human face objects in a room to determine faces that use masks and faces without using masks. The research was conducted using the Viola Jones Method in the OpenCV-Python library. This paper resulted in a good accuracy of the tests carried out to obtain 95.6% results. This detection agent has been able to perform face recognition with the condition of using a mask and the face without using a mask. On the display screen will show the face recognition accuracy in real time of the detected face object.
Enhancing IT Employee Placement Using SMARTER with Centroid Rank Order Weighting for Candidate Suitability Rahman, Ben; Adinda, Saskia; Handayani, Adelia Putri
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9165

Abstract

In an era characterized by constant evolution in digital technology, the significance of Information Technology (IT) within organizations is of utmost importance. Efficient recruitment processes and appropriate placement of IT personnel are crucial for a company's success. This research aims to develop a candidate assessment system using the SMARTER (Smart Simple Multi-Attribute Rating Technique Exploiting Rank) approach combined with the Rank Order Centroid weighting method to assist HR departments in selecting suitable IT candidates. Addressing the challenges faced by HR directors lacking IT expertise, this study offers an innovative solution to enhance alignment between candidates and IT position requirements. Through the analysis of nine specific criteria, including education, work experience, and English proficiency, the system is designed to provide more accurate candidate placement recommendations. The findings of this research demonstrate significant potential in improving IT recruitment processes and contributing significantly to the literature.
Smart Home System for Controlling Household Appliances Utilizing Photovoltaic Technology Khoiruddin, Mohammad; Retnoningsih, Endang; Rofiah, Syahbaniar
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9261

Abstract

Photovoltaic is a technology that functions to convert solar energy into electrical energy directly. The smart home system for controlling household appliances with Photovoltaic technology is a concept that integrates renewable technology and artificial intelligence to increase the efficiency and sustainability of energy use in households. By using the ESP32 microcontroller as the main control system to monitor and regulate power usage based on the availability of solar energy. The system starts by checking the solar voltage, if it is providing enough power to household appliances. If the solar voltage is insufficient the system will turn off non-essential equipment or reduce power consumption. Users can control the system via smartphone to activate household appliances as needed. The system uses an inverter to convert the DC voltage from the solar panels into the AC voltage required by household appliances. This research combines Photovoltaic and IoT technology in a Smart Home that can increase energy efficiency and support environmental conservation efforts. Research can make a positive contribution to the development of sustainable energy solutions for modern households.
Determining Sales Patterns of Beauty Products Using the Apriori Algorithm in Data Mining Maharani, Windi; Putri, Raissa Amanda
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9308

Abstract

The use of data mining technology is a must to extract information that can help in making better decisions, especially in the beauty product industry, where competition is getting tougher. Changes in lifestyle and an increase in people's income lead to an increase in public consumption of beauty products. From these problems, a data mining system was created to determine the sales pattern of beauty products using the Apriori algorithm method. The goal is to get information about products that are often purchased by consumers so that they can prepare their needs with business strategies. The use of Apriori can perform the process of extracting information from the database to find association rules between a set of data or a combination of items/itemsets. The results of this study formed an application that was built using the Python programming language to analyze product sales at Underprice Skincare stores using the apriori algorithm. The data generated from the application process of data mining will be used as a reference for stores to prepare stock availability and can design the right business strategy to increase sales of beauty products at Underprice Skincare stores.
Sales Information System Utilizing 13.56 MHz RFID Member Cards for Enhanced Efficiency in Cooperative Stores Yusuf, Dani; Ahmad, Denis
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9334

Abstract

This research aims to produce an output in the form of a cooperative sales application to its members using a 13.56 MHz RFID membership card. The research was conducted at Toko Koperasi Ubhara Jakarta Raya, which is a cooperative owned by employees of Universitas Bhayangkara Jakarta Raya, from January 2024 to February 2024. The cooperative membership card, which contains a 15.56 MHz RFID chip, can be used to validate cooperative member data when shopping at the cooperative store. With this application, it is hoped that it can simplify sales transactions for members and minimize input errors by store personnel. The system development method in this research uses the prototype method, the application is developed using native PHP programming language, and the database used is MySQL. The application created is expected to assist the cooperative in selling its products using a 13.56 MHz RFID card for better data management and quick presentation of sales reports.
Implementation of Digital Forensics Photorec in Recovering Lost Files on External Storage Dasmen, Rahmat Novrianda; Triwulanda, Asti; Rasmila, Rasmila; Kurniawan, Dedi; Julia, Julia
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9444

Abstract

Portable data storage devices, such as flash drives, are one of the most widely used data storage media today. It has a fairly large storage capacity and is easy to carry around. However, flash drives are also prone to damage, such as lost or deleted files. Damage to files on a pen drive can be caused by various factors, such as user error, viruses, or physical damage. File damage caused by user error, such as accidental deletion of files, can be easily repaired using file recovery software. One of the popular file recovery software is Photorec, which is an open-source software that can be used to recover various types of files, including photos, videos, documents, and other files. Photorec uses the file carving method to recover lost or deleted files. The file carving method is a file recovery method that works by looking for intact blocks of data within the storage media. These intact data blocks are then identified as specific files. This research aims to determine the effectiveness of Photorec in recovering lost files on a flash disk. This research uses an experimental method by simulating file corruption on a flash disk in Bina Darma University. File damage is done by accidentally deleting files. The results show that Photorec can recover lost files on flash drives with a high success rate. Photorec can recover lost files intact, including photos, videos, documents, and other files.
Event Management System for Faculty of Mathematics and Natural Sciences Organizers Putra, Agung Prajuhana; Karlitasari, Lita
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9470

Abstract

The advancement of technology in today's era has led to increased demands across various sectors, including Event Organizer (EO) Professional Service Providers. As a pivotal institution in scientific and academic advancement, the Faculty of Mathematics and Natural Sciences (FMIPA) at Universitas Pakuan regularly hosts a multitude of events ranging from seminars to workshops. However, the complexity of managing these events, exacerbated by varying participant numbers, presents substantial logistical, administrative, and communication challenges. FMIPA has witnessed a surge in event frequency and complexity in tandem with the growth in student enrollment, research, and academic collaboration. This paper underscores the critical importance of effective event management at FMIPA, emphasizing the necessity for an integrated and structured Event Organizer Management System. This system aims to address challenges such as team coordination, budget monitoring, and post-event reporting. By acknowledging the dynamic educational landscape and the imperative to meet high-quality standards, this research aims to contribute positively to FMIPA's institutional development. The proposed system seeks to enhance efficiency, effectiveness, and the overall impact of each scientific activity. Focusing specifically on FMIPA's logistical and administrative challenges during event organization, this study aims to design, develop, and implement an Event Organizer Management System tailored to FMIPA's unique requirements. The system targets improved event planning, streamlined participant registration, and structured logistics coordination, ultimately aiming to elevate operational efficiency and event quality. The success of the system hinges upon user involvement throughout the development cycle, ensuring alignment with FMIPA's evolving needs and fostering a culture of continuous improvement. Through this research, concrete solutions are expected to emerge, enhancing FMIPA's academic competitiveness and institutional standing.
Learning Tools for Artificial Intelligence Implementation Herlawati, Herlawati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9476

Abstract

According to the rules of the Indonesian National Qualifications Framework (KKNI), undergraduate students fall into levels 5 and 6. Here, graduates are required to have the ability to apply existing knowledge according to the needs of the job. However, laboratory facilities that provide such competencies are very difficult to provide, especially for private campuses that rely on funding from students. This research tries to anticipate the gap between students' abilities and industry demands by providing laboratory facilities that do not require large costs. One of the courses demanded for students to master is Artificial Intelligence (AI), which has now spread to various fields. However, the curriculum currently applied usually focuses only on methods commonly used in the field of AI, while implementation in corporate fields requires direct application in the form of applications. Research results prove that several online applications can be used as substitutes for laboratories, including Google Colab, Play with Docker, Streamlit, and Teachable Machine. Compared to providing servers, computers containing development applications, using computers or laptops connected to the internet, students can easily implement the AI knowledge they have learned. For group work, applications for Continuous Integration/Continuous Delivery can be utilized, for example with Github, Gitlab, and similar ones.
Expert System for Chiller Machine Damage Detection Using Forward Chaining Algorithm Noeman, Achmad; Adriansyah, Atsal; Hiswara, Abrar; Hartanti, Dian; Kustanto, Prio; Hafizah, Hafizah
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9488

Abstract

The causes of damage to the chiller machine can be sorted in a logical sequence to find the cause of damage to the chiller machine, so that users can immediately find out the cause of the existing damage. An expert system is a computer program that contains knowledge from one or more human experts about a specific field. With this system, it is hoped that users can easily find out about damage and how to handle it on the machine. Observations were carried out directly on the research object, namely PT Indofood CBP, because the way to observe the research object is to understand the needs of the research object so that the system built can meet the needs of the user concerned. Starting from minor problems to serious problems, apart from that, we also test the running of the chiller until the operation of every machine that requires supply from this chiller machine. This system was created with the aim of making it easier for users if they experience difficulties in carrying out repairs or troubleshooting the chiller machine. So that you can get solutions based on previous experiences carried out by Engineers. After collecting analytical data to overcome troubleshooting, the design stage is carried out to create an expert system for detecting damage to machines and how to handle repairs based on the experience that has been provided.

Page 24 of 31 | Total Record : 304

 22   23   24   25   26 

Filter by Year

2013 2025


Reset
Filter By Issues
All Issue Vol. 13 No. 2 (2025): September 2025 Vol. 13 No. 1 (2025): Maret 2025 Vol. 12 No. 2 (2024): September 2024 Vol. 12 No. 1 (2024): March 2024 Vol. 11 No. 2 (2023): September 2023 Vol 11 No 2 (2023): September 2023 Vol. 11 No. 1 (2023): March 2023 Vol 11 No 1 (2023): March 2023 Vol 10 No 2 (2022): September 2022 Vol 10 No 1 (2022): March 2022 Vol 9 No 2 (2021): September 2021 Vol 9 No 1 (2021): Maret 2021 Vol 8 No 2 (2020): September 2020 Vol. 8 No. 2 (2020): September 2020 Vol 8 No 1 (2020): Maret 2020 Vol 7 No 2 (2019): September 2019 Vol 7 No 1 (2019): Maret 2019 Vol 6 No 2 (2018): September 2018 Vol 6 No 1 (2018): Maret 2018 Vol 5 No 2 (2017): September 2017 Vol 5 No 1 (2017): Maret 2017 Vol 4 No 2 (2016): September 2016 Vol 4 No 1 (2016): Maret 2016 Vol. 4 No. 1 (2016): Maret 2016 Vol 3 No 2 (2015): September 2015 Vol 3 No 1 (2015): Maret 2015 Vol 2 No 2 (2014): September 2014 Vol 2 No 1 (2014): Maret 2014 Vol. 1 No. 2 (2013): September 2013 Vol 1 No 2 (2013): September 2013 Vol 1 No 1 (2013): Januari 2013 Vol. 1 No. 1 (2013): Januari 2013 More Issue