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Jurnal Informatika Dan Tekonologi Komputer
Published by Pusat Riset dan Inovasi Nasional
ISSN : 28099249     EISSN : 28099230     DOI : https://doi.org/10.55606/jitek.v5i1
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Other
Jurnal Informatika dan Teknologi Komputer (JITEK), dan P-ISSN:2809-9249 (Cetak) dan E-ISSN:2809-9230 (Online). Jurnal JITEK diterbitkan Pusat Riset dan Inovasi Nasional, terbit setahun Tiga kali (Maret, Juli dan November) menerapkan proses peer-review dalam memilih artikel berkualitas berdasarkan penelitian ilmiah dan teoritis.Jurnal ini terakreditasi SINTA 4 (Surat Keputusan Direktur Jenderal Pendidikan Tinggi, Riset, dan Teknologi Nomor 10/C/C3/DT.05.00/2025 tanggal 21 Maret 2025 tentang Peringkat Akreditasi Jurnal Ilmiah Periode I Tahun 2025) dimulai dari Volume 2 Nomor 2 Tahun 2022 sampai Volume 7 Nomor 1 Tahun 2027. JITEK diterbitkan untuk mengembangkan dan memperkaya diskusi ilmiah bagi para sarjana dan penulis yang menaruh minat pada isu-isu Teknologi dan penerapannya. Redaksi menerima artikel berbasis teori dan penelitian. Cakupan keilmuan Jurnal ini mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 166 Documents
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KEGIATAN PENDAMPINGAN PENERAPAN TIK PADA NEXT GEN’S PARTY KOI SHOW KE 2 Budi Suyanto; Mangaras Y F; Wilis Kaswidjanti; Dessyanto Boedi P; Nur Heri Cahyana
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1377

Abstract

Inspection and implementation of ICT in competition management at Next Gen's Party Koi Show #2. Training with two-way interaction methods, presentations and exercises on how to use the activity registration application and back office application to manage activity participants and provide support on activity days. Next Gen's Party Koi Show #2 Online Registration Application Install Next Gen's Party Koi Show #2 Back Office Online Application Install Next Gen's Party Koi Show #2 Participant Registration Support Activities Next Gen Support Committee Party Koi Show #2 activities in Participant management.
PERBANDINGAN DISTANCE MEASURES PADA K-MEANS CLUSTER DAN TOPSIS DENGAN KORELASI PEARSON DAN SPEARMAN Stendy Budi Hartono Sakur
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 1 (2023): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i1.1394

Abstract

Clustering is a data mining method that is widely used to group data based on similarity. This clustering process can be used to streamline data so as to facilitate the data ranking process. The purpose of this study was to make comparisons of distance measurements on the K-Means and TOPSIS methods to select students who would take part in industrial visit activities. The method used in this study is the K-Means Algorithm to carry out the clustering process whose results will be processed using the TOPSIS method, both of which use Euclidean, Manhattan and Minkowsky Distance. Based on the clustering process, there were 21 respondents who were eligible to be included, then with TOPSIS a ranking process was carried out. Of the three distance measurements used based on the Pearson Euclidean distance correlation test, the highest results were 0.992, Manhattan 0.982 and Minkowsky 0.980, with ratings one, two and three respectively. For the Spearman correlation, Eculidean is 0.972, Manhattan is 0.982 and Minkowski is 0.955. Thus, Euclidean distance gives the best correlation results, while for alternatives, Manhattan distance or Minkoesky distance can be used.
CLUSTERING K-MEANS UNTUK ANALISIS POLA PERSEBARAN BENCANA ALAM DI INDONESIA M Aditya Yoga Pratama; Agus Rahmad Hidayah; Tertia Avini
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1506

Abstract

Data clustering plays a crucial role in data analysis for identifying hidden patterns, trends, and structures within the data. The K-Means algorithm has gained popularity as a widely used method for data clustering due to its efficiency and ease of implementation. Clustering is a data analysis technique utilized to group similar objects together. The K-Means algorithm stands out as one of the most renowned and frequently employed clustering methods across various fields, including data science, pattern recognition, and artificial intelligence. In this research, we collected data on natural disasters from different regions in Indonesia and employed it as input for the K-Means clustering algorithm. K-Means was utilized to cluster the similarity patterns within the occurring natural disasters. The clustering results provide information about groups that may exhibit similar characteristics and disaster risks.
IMPLEMENTASI ALGORITMA APRIORI DALAM MENENTUKAN POLA PEMBELI CUSTOMER Hendra Gunawan; Efori Bu'ulolo
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1519

Abstract

CV. Syahfira Bakery and Cake is a business engaged in the production of cakes, pastries and bread. The more a business develops, the transactions that occur daily also increase. However, sometimes the sales transaction data is not fully utilized properly by administrative staff and company owners. In fact, if it is processed and used by administrative staff and supervised by business owners, then sales data will have a major influence on product sales in the future. Data processing can be done using data mining techniques, these data sets can produce new information, one of which is customer purchasing patterns. Syahfira Bakery and Cake is a cake, sponge and bread shop that has not fully utilized data for determining sales business strategies. With these problems, it is necessary to use transaction data to be processed with the Apriori algorithm so that it can provide new knowledge that can be utilized by shop owners. Based on the research that has been done, from the 20 processed transaction data, results are obtained that meet a minimum support of 30% and a minimum confidence of 70% and one rule is obtained, namely if a customer buys chocolate jam products, he will buy plain bread
ENTERPRISE ARCHITECTURE POS (EAPOS) Rakhmadi Rahman
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 1 (2023): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i1.1729

Abstract

PT Pos Indonesia (Persero) is a State-Owned Enterprise (BUMN), in 2018 in line with KD72/2018 concerning the Organizational Structure of PT Pos Indonesia (Persero) and KD.35/2018 concerning the Transition Period of Information and Technology Organizations, the IT function organization has smelting is carried out to enter the business unit for the core system, so a guideline is needed for information technology governance or IT management, which is currently decentralized. To be able to standardize the structure and operation of technology support in all overall company functions, including business, data, applications and technology, a simple study is needed in the form of a blueprint or company blueprint which consists of information technology management components so that it can provide an overview and steps steps to assist in formulating EAPOS which bridges business in harmony with IT governance at PT Pos Indonesia (Persero).
IMPLEMENTASI ALGORITMA SHA UNTUK ENKRIPSI TEKS BERBASIS MOBILE Ananda Perdana; Dermawan Rizky Syahputra; Samuel Fernando Manurung; Taufiqul Hafizh; Dedek Hendra Gunawan Hutasuhut
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1736

Abstract

In today's digital era, text messages have become one of the most common communication methods used by many people around the world. However, the use of text messages also poses security risks that need to be considered. Text messages can be targeted by hackers who are after personal information or important data that is sent through text messages. Mobile devices that are always connected to the internet can make text messages easily hacked or intercepted by unauthorized parties. Therefore, the use of encryption methods on text messages is very important to enhance the security and privacy of the information sent through text messages. This research aims to implement the Secure Hash Algorithm (SHA) algorithm on a mobile application for text encryption. The implementation of the SHA algorithm on the mobile application is done using the Java programming language and utilizing Android's built-in library to process data. The results of the study show that the mobile application using the implementation of the SHA algorithm can provide higher security for data containing messages sent over public networks
IMPLEMENTATION OF C4.5 ALGORITHM FOR ASSESMENT OF COMMUNITY SATISFACTION Rahmat Sulaiman; Agustina Mardeka Raya; Laurentinus; Aria Setiawan
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1826

Abstract

This Research applies the C4.5 Algorithm in deciding community satisfaction of sommunity services. Algorithm C4.5 is a classification algorithm with a decision tree technique that is well known and preferred because it has many advantages. These advantages, for example, can process numeric and discrete data, can handle missing attribute values, produce rules that are easy to interpret and the fastest. This research is a classification with the concept of data mining involving 20 community questionnaire data which are categorized as: cheap, expensive, appropriate, inappropriate, fast, long, comfortable, uncomfortable. There are four attributes that affect community satisfaction including: handling costs, service procedures, handling time and convenience. From the results of this research that has been conducted by researchers, it can be concluded. The customer satisfaction of the community services can be predicted and evaluated by utilizing data mining techniques using the C4.5 Algorithm to predict community satisfaction. This research also provided that C4.5 Algorihtm can be used to get high result of accuracy
ANALISIS KEPUASAN PENGGUNA MARKETPLACE PADA APLIKASI FACEBOOK MENGGUNAKAN METODE DELONE AND MCLEAN Putri Nawang Wulan; Kurniabudi Kurniabudi; Imam Rofi’i
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1838

Abstract

Trading in the modern era currently uses a buying and selling system, not directly face to face but only with one finger and in one place, not limited by space and time, which is commonly referred to as buying and selling online and online transactions in one container, namely the website and very there are many types of marketplaces as long as technology continues to develop and changes in the quality of technology continue, in this study the author wants to analyze the Facebook Marketplace with the Delone and McLean method, which has problems such as vulgar advertisements that can be accessed by minors, the sale of goods-prohibited items and there are still many users who violate the rules and conditions set by the Facebook Marketplace. The purpose of this study is to identify and analyze these problems and also to find out which factors have the most influence on user satisfaction with the Facebook Marketplace. Based on the results of processing questionnaire data from the people of Jambi City, it was found that 4 of the 9 hypotheses that had a positive and significant effect were service quality to users, use to user satisfaction, use to net benefits and user satisfaction to net benefits.
RANCANG BANGUN APLIKASI E-DOCUMENT SEBAGAI MEDIA PENDISTRIBUSIAN PURCHASE ORDER DAN BERBASIS WEB PADA PT. IRC INOACPENYIMPANAN DATA DIGITAL Edi Kalsid; Henri Septanto
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1844

Abstract

A Purchase Order is a document ordering goods or services from a buyer to a supplier/supplier, almost all companies have a purchasing or purchasing department where the department will issue a goods ordering document or purchase order, the purpose of this writing is to make it easier for the purchasing or purchasing department team to distribute purchase order documents or purchase orders and store these documents digitally to make it easier to find these documents at a later date. in collecting data the author uses primary data, namely data obtained, collected and processed by the researcher directly from the subject or research object, the data collection method carried out by the researcher is carried out through: observation, interviews and participant observation. The results of the research are in the form of a web-based e-document application and distribution of purchase order documents to suppliers in a digital and structured manner so that it makes it easier for both parties to send information.
PERANCANGAN HUMAN RESOURCE INFORMATION SYSTEM BERBASIS WEB DI PT THE MASTER STEEL Aris Sunandar; Henri Septanto
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1846

Abstract

Human Resource Information System is an important part of human resource management in modern organizations. In an effort to increase the efficiency and effectiveness of HRIS, many organizations are turning to web-based solutions. This study aims to design web-based HRIS using the Waterfall method as its development life cycle. The Waterfall method is a linear and sequential approach to software development. The stages in this method include needs analysis, design, implementation, testing, and maintenance. By using this method, it is possible to identify user needs, analyze and design system architecture, implement web-based Human Resource Information System solutions and test the system as a whole. The result of this research is a web-based Human Resource Information System that allows efficient management of employee information, personal data, attendance, payroll and performance evaluation. This Human Resource Information System also provides easy accessibility via a web browser, allowing users to access the system from anywhere and anytime.

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