cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Taufiq Iqbal
Contact Email
taufiq.iqbal@lembagakita.org
Phone
+6285277777449
Journal Mail Official
jtik@lembagakita.org
Editorial Address
Teuku Nyak Arief Street Number: 7b Lamnyong, Banda Aceh City, Aceh Province
Location
,
INDONESIA
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 801 Documents
 63   64   65   66   67 
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.
Pemanfaatan Media Sosial TikTok sebagai Media Promosi untuk Pengenalan Industri Kuliner di Yogyakarta melalui Akun TikTok @makanandiyogya Putra, Harish Maulana; Fajri, Choirul
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.v9i2.2017

Abstract

The pandemic period has ended, but many culinary business actors and umkm actors who still have not risen from the downturn during the Covid-19 pandemic in Yogyakarta. Efforts that can be made by umkm players and culinary entrepreneurs are marketing products and introducing their products through social media. Based on this, Tiktok social media has the potential as an efficient promotional media on how to market umkm products in the Special Region of Yogyakarta. Here is one Tiktok account that has content as a promotional media is the @makanandiyogya account. The methodology used is the constructivist paradigm which has the aim of gaining understanding, reconstructing qualitative research so as to get deep understanding result from individuals and the public. Tiktok is a short marketing media and Indonesia is the largest user of the Tiktok application, this application is easy able to hit trend developments, influenced by celebrities, Tiktok is also an interesting form of promotional marketing.
Analisis Resepsi Penonton Mengenai Isu Kesehatan Mental pada Film “Sleep Call” Arsy, Fadhilah Samudra; Saifuddin, Windri
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.v9i2.3401

Abstract

This research wants to see how adult audiences accept the movie “Sleep Call” on mental health issues. Film is one of the important mass communication media to tell events or social issues that occur in everyday life. the purpose of this study is to determine the adult audience's acceptance of mental health issues in the film ''Sleep Call''. This research is a type of descriptive qualitative research. This research is specifically more directed at using the reception analysis method, this aims to answer the question of how the audience in this study receives a message from the media and is interpreted based on different backgrounds, social, and culture.
Strategi Corporate Societal Marketing (CSR) Blibli Tiket Action dalam Program Cinta Bumi Angkawibawa, Harla Nathalya; Elkezia, Natasha; Wempi, J.A
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.v9i2.3403

Abstract

The Cinta Bumi program is part of Blibli's Tiket Action CSR initiative, serving as a tangible action towards sustainability aligned with the Sustainable Development Goals (SDGs). This study applies the Preparation, Engagement, and Perpetuation (PEP) model to explore and analyze the strategies behind the Cinta Bumi program and assess the sustainability strategies implemented by Blibli Tiket Action. The study utilizes a qualitative approach with data collection techniques such as interviews, literature reviews, and document analysis. The research findings indicate that Blibli Tiket Action's implementation of the PEP model has successfully delivered positive impacts, evidenced by the increased recycling of waste and the conversion of used packaging into tree seedlings, as observed through the growing public participation in the Packaging Take Back Program over the years. The study reveals two key findings: effective communication strategies are crucial in delivering information, and many companies in Indonesia implement SDG programs with limited funding, leading to less than optimal results.
Perancangan Arsitektur Enterprise untuk Sistem Peminjaman Ruang di Universitas Menggunakan FEAF Rachman, Naura Farica; Priyanti, Dika; Cahyaningrum, Fadhila Intan; Desty, Excel Ervinta; 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.v9i2.3411

Abstract

This research designs an Enterprise Architecture (EA) model for the space loan management system at Amikom Purwokerto University using the Federal Enterprise Architecture Framework (FEAF). The main objective is to improve efficiency, accuracy, and transparency in the space management process. The methodology used is descriptive qualitative approach with case study method. The research was conducted through the stages of problem identification, analysis of existing conditions, information architecture design, and classification of EA models. The main findings of the research show that the application of EA is able to speed up the process of borrowing space, reduce recording errors, and provide more accurate reports. The designed EA model includes four main perspectives: planning, ownership, design, and development. The contribution of this research is to provide an innovative and efficient solution for campus resource management through open-source technology.
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.

Page 65 of 81 | Total Record : 801

 63   64   65   66   67 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol 10 No 2 (2026): APRIL 2026 Vol 10 No 1 (2026): JANUARY 2026 Vol 9 No 3 (2025): JULI-SEPTEMBER 2025 Vol 9 No 2 (2025): APRIL-JUNE 2025 Vol 9 No 1 (2025): JANUARI-MARET 2025 Vol 8 No 4 (2024): OCTOBER-DECEMBER 2024 Vol 8 No 3 (2024): JULY-SEPTEMBER 2024 Vol 8 No 2 (2024): APRIL-JUNE 2024 Vol 8 No 1 (2024): JANUARY-MARCH 2024 Vol 7 No 4 (2023): OCTOBER-DECEMBER 2023 Vol 7 No 3 (2023): JULY-SEPTEMBER 2023 Vol 7 No 2 (2023): APRIL-JUNE 2023 Vol 7 No 1 (2023): JANUARY-MARCH 2023 Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022 Vol 6 No 3 (2022): JULY-SEPTEMBER 2022 Vol 6 No 2 (2022): APRIL-JUNE 2022 Vol 6 No 1 (2022): JANUARY-MARCH 2022 Vol 6, No 3 (2022): July-September Vol 6, No 2 (2022): April-June Vol 6, No 1 (2022): January-March Vol 5 No 4 (2021): OCTOBER-DECEMBER 2021 Vol 5 No 3 (2021): JULY-SEPTEMBER 2021 Vol 5 No 1 (2021): JANUARI-MARET 2021 Vol 5, No 4 (2021): JTIK Vol 5, No 3 (2021): JTIK Vol 5 No 2 (2021): April-Juni Vol 5, No 2 (2021): JTIK Vol 5, No 1 (2021): JTIK Vol 4 No 2 (2020): JULY-DECEMBER 2020 Vol 4 No 1 (2020): JANUARY-JUNE 2020 Vol 4, No 2 (2020): JTIK Vol 4, No 1 (2020): JTIK Vol 3 No 2 (2019): JULY-DECEMBER 2019 Vol 3 No 1 (2019): JANUARY-JUNE 2019 Vol 3, No 2 (2019): JTIK Vol 3, No 1 (2019): JTIK Vol 2 No 1 (2018): JANUARY-DECEMBER 2018 Vol 2, No 1 (2018): JTIK Vol 1 No 1 (2017): JANUARY-DECEMBER 2017 Vol 1, No 1 (2017): JTIK More Issue