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Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Published by Lembaga Komunitas Informasi Teknologi Aceh
ISSN : -     EISSN : 25801643     DOI : https://doi.org/10.35870/jtik
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), e-ISSN: 2580-1643 is a free and open-access journal published by the Research Division, KITA Institute, Indonesia. JTIK Journal provides media to publish scientific articles from scholars and experts around the world related to Hardware Products, Software Products, IT Security, Mobile, Storage, Networking, and Review An application service. All published article URLs will have a digital object identifier (DOI).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 722 Documents
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Penerapan Data Mining untuk Klasterisasi Data Anggaran Pendapatan dan Belanja Daerah Menggunakan Algoritma K-Means Widianto; Zakaria, M. Rifqy; Irvan
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3425

Abstract

To continue the development relay and fulfill the transition period until the simultaneous elections are held, it is necessary to prepare a Regional Development Plan (RPD) for regional heads whose terms of office end in 2022. The K-Means algorithm approach can be applied in analyzing the level of potential regional income and expenditure based on regional income and expenditure clusters that have results in the K-Means algorithm testing process, two clusters cluster 1 (C0) is a category of high spending potential consisting of and cluster 2 (C1) and is a low spending potential. The applied K-Means algorithm model has results that show a new insight, namely the grouping of regional income and expenditure budget data for the Tolikara Regency BPKAD based on 2 clusters has cluster results of 47 and 3. In analyzing the level of potential regional income and expenditure, the results of the test have centroid results 1 192973008, 16700000 and centroid results 2 7000000 and 225000000.
Perancangan Prototipe Antarmuka Pengguna pada Aplikasi E-Commerce Pertanian Berbasis Mobile Prasetyo, Diaz Agil; Oxaveria, Carissa Xyla; Aulia, Shinta; Richardo, Nicko; Saputra , Muhammad Reynaldi Dwi; Ningsih, Rahmi Yulia; Pratiwi, Chairani Putri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3428

Abstract

The use of e-commerce applications in the agricultural sector has not been optimized due to farmers' low understanding of technology and a less user-friendly interface design. This research aims to design a prototype mobile-based e-commerce application interface that suits the needs of farmers. The Design Thinking method is used to understand user needs and develop intuitive solutions. The results showed a friendly interface design for farmers with low digital literacy, thus supporting the adoption of e-commerce applications in the agricultural sector. This research contributes to the increased utilization of technology in the distribution of farm produce and helps improve the welfare of farmers.
Pendekatan Machine Learning untuk Deteksi Stunting pada Balita Menggunakan K-Nearest Neighbors Djoru, Ade Putra Tupu; Yulianto, Sri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3436

Abstract

Stunting is a chronic nutritional problem affecting the physical growth and cognitive development of toddlers, especially in early childhood. This study employs the K-Nearest Neighbors (K-NN) algorithm to determine stunting status based on anthropometric variables such as age, weight, and height. The algorithm categorizes data using proximity between samples. Data from the Salatiga City Health Department in 2024 were normalized and encoded for analysis. K-NN was chosen for its ability to provide high-accuracy nutritional classification. Results show that the algorithm achieved 100% accuracy, precision, and recall at certain K values, particularly in the small K range (2-8), demonstrating its effectiveness in identifying nutritional status in toddlers. This study is expected to serve as a reference for utilizing technology and data analysis in early stunting detection, aiding healthcare professionals in designing more targeted and effective interventions. Additionally, it opens opportunities for further development to enhance diagnostic accuracy using machine learning technology.
Business Process Reengineering pada CV. Pustaka Grafika Malang Fajar, Rayhan Putra; Nuryasin, Ilyas
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3437

Abstract

CV. Pustaka Grafika is a book printing company that serves both individual and educational institution orders. The company's supervision and production processes are currently conducted manually. This often results in unavoidable waiting times for each team. This research aims to enhance operational efficiency at CV. Pustaka Grafika by applying the Business Process Reengineering (BPR) methodology. The pre-existing business processes were analyzed for their efficiency through a throughput efficiency test. A recommended business process was then developed based on the previous process and subjected to a throughput efficiency test. This BPR research resulted in a throughput efficiency of 93.9%, compared to the previous 49.46%. The recommended business process demonstrated a 44.44% improvement over the initial process. By leveraging advancements in technology and information, a website can be utilized to support the digitalization and automation of the recommended business processes at CV. Pustaka Grafika. This study is limited to UI/UX design recommendations using Figma and a limited evaluation of the design's performance, excluding technical implementation or extensive user testing.
Implementasi Data Mining untuk Clustering Lowongan Pekerjaan Menggunakan Metode Algoritma K-Means Mubarok, Rifqi; Syahputra, Akhmal Angga; Permana, Abdillah Teguh; Sholiah, Lifa; Tarwoto
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3438

Abstract

The development of digital technology has transformed the way businesses recruit employees online. This study aims to create an interactive dashboard that facilitates job seekers and companies, using clustering methods with the K-Means algorithm to analyze job posting data in the United States. The data from the Kaggle LinkedIn Job Postings 2023 dataset, consisting of 33,000 records, is processed using the CRISP-DM phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The clustering analysis results in four job categories: low-mid-level general jobs, high-level executive jobs, time-based jobs, and mid-high-level professional jobs. Model evaluation shows good clustering quality with a Silhouette Coefficient of 0.78 and a Davies-Bouldin Index of 0.55. The developed dashboard helps companies plan recruitment and job seekers find positions matching their skills and salary expectations. The practical contribution of this study is modernizing the recruitment process, assisting companies and recruitment agencies in screening candidates more efficiently, and improving job matching through deeper data analysis.
Mapping Research on the Use of Algorithms in Commerce: A Bibliometric Analysis Based on Scopus Almagribi, Ahmad Bilal; Ardianto, Fikky; Taufan, Anas; Kristomo, Domy
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3441

Abstract

Algorithms had garnered widespread attention across various scientific disciplines, including the commercial sector. According to data from Scopus, over 600 documents exploring the application of algorithms in commerce were identified. However, no comprehensive bibliometric analysis had been conducted to deeply examine the implementation of algorithms within this sector. This research aimed to fill this gap by analyzing the contributions of authors, affiliations, countries, and journals within the literature on commercial algorithms. Employing bibliometric methods on 645 Scopus-indexed documents, this study revealed that 2022 marked the peak of publications with 112 documents, indicating significant growth in this area. Li, Y. from Wuhan College, China, was recognized as the most productive author. Additionally, several universities in China were noted as the most productive affiliations. The ACM International Conference Proceeding Series was the most prolific source on this topic. The study also identified Computer Science, Engineering, and Mathematics as the most popular subject areas. These results indicate a need for further research into aspects such as data privacy, User Experience (UX), Dynamic Pricing Algorithms, and blockchain technology to enhance efficiency and security in commercial applications. This research paves the way for a broader understanding of algorithm utilization in commerce and provides recommendations for future studies.
Pengembangan Aplikasi Mobile untuk Pembukuan dan Kasir Usaha Laundry dengan Metode User-Centered Design Ananda, Ricky Reza; Hidayat, Syarif
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3446

Abstract

Laundromat is a general business that can be found around where we live, this kind of business is also part of micro, small and medium enterprise. On the operation of a business should include a bookkeeping process that usefull for monitoring financial flow from the business itself. As the technology advances, the bookkeeping process can be done within our smartphone. Therefore the goal of this study is to make a mobile application called LaPlus for the bookkeeping process and also include POS system. User centered design is a method that will be used on this study because the users is our main focus to make a good application that satisfy the users need. With the result of 89% success rate on the usability testing its shows the product design is easily understood and accepted by its users.
Representasi Perempuan dalam Game Simulasi Kencan Picka: 30 Days to Love 2 Swastika, Virginia; Ashaf, Abdul Firman; Putra, Purwanto
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3451

Abstract

Women in games are often portrayed with negative narratives. They are often cast as objects of lust through their physical appearance, and are taken for granted. However, dating simulation games provide a different perspective on women. This research aims to unravel how women are represented in dating simulation games, specifically in the game 30 Days to Love 2 which carries the concept of dating reality show. To analyze the phenomenon, this research uses Roland Barthes semiotics which reveals meaning through denotation and connotation signs. The results show that women in dating simulation games have been viewed more positively. However, female attributes such as appearance are still attached to gender stereotypes that emphasize beauty standards.
Pengaruh Terpaan Media TikTok dan Kampanye #CreatorContribution @Pandawaragroup terhadap Perilaku Peduli Lingkungan Pengikut Simamora, Sabar Ernesto Sanchez; Nugroho, Widyo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3475

Abstract

This study aims to determine whether there is an effect of tiktok media exposure and the #creatorcontribution campaign on followers' environmental care behavior, and the theory used in this study is Social Cognitive Theory. The research method used in this research is the Quantitative method, by collecting data through a survey using a questionnaire filled out by randomly selected respondents. by distributing questionnaires to respondents who are followers of the Tiktok Pandawaragroup account, a minimum of 400 respondents were obtained which were calculated using the slovin formula, which was then processed using SPSS version 25. The results of the research obtained from 400 respondents show that there is a very strong influence between Tiktok Media Exposure and the #creatorcontribution Campaign made by Pandawara Group on the Environmental Care Behavior of its Followers, the results of the study indicate that there is an influence on Tiktok media exposure and the #creatorcontribution campaign from the Tiktok @pandawaragroup account has an influence on the environmental care behavior of its followers.
Implementasi Sistem Pakar untuk Diagnosis Penyakit Lambung Menggunakan Pendekatan Fuzzy Mamdani Berbasis Website Yansyah, Ilham Roni; Atmaja, Dewi Marini Umi; Hakim, Arif Rahman; Suwaryo, Niko
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3534

Abstract

This study aims to develop a more specific diagnostic approach for various gastric diseases in humans, such as gastritis, peptic ulcers, gastric cancer, gastric tumors or polyps, dyspepsia, gastroesophageal reflux disease (GERD), gastroparesis, and gastroenteritis. This approach seeks to enhance the accuracy of disease identification based on more detailed symptoms. An expert system utilizing the Fuzzy Mamdani method is designed to reduce reliance on internal medicine specialists, enabling patients to gain preliminary insights into the type of gastric disease they may have. This expert system is implemented on a web-based platform, leveraging information technology to integrate large-scale databases, supporting efficiency, accuracy, and relevance to the latest developments in medical science. By analyzing digestive disorder symptoms, the system can provide detailed diagnoses, offer insights into identified symptoms, and recommend appropriate treatment solutions.

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