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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 904 Documents
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Strategi Pengembangan Website Organisasi SMA Islam Hidayatullah dengan Metode Design Thinking Robbie Adam Nurdiansyah; Jeffri Alfa Razaq; Dwi Budi Santoso
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.2979

Abstract

This study developed the SMA Islam Hidayatullah website using the Design Thinking method to enhance student engagement and improve the communication efficiency of school organizations such as OSIS, Rohis, DA, Askar, and PMI. The method involved the stages of Empathize, Define, Ideate, Prototype, and Test, engaging collaboration between students, organization members, and teachers to understand and meet user needs. The results demonstrate that the Design Thinking approach is effective, with the website offering interactive features such as discussion forums, event calendars, and multimedia galleries. The website successfully increased student engagement, as evidenced by improved interaction among students, and enhanced communication among members by improving the quality and efficiency of information shared. The implications of using Design Thinking show that this approach creates solutions better aligned with user needs and enhances their satisfaction and involvement. Recommendations include developing additional features such as instant messaging, user training, and regular monitoring to ensure the website’s maximum benefits. The use of Design Thinking has proven to provide better solutions in school website development, improving student engagement and organizational communication efficiency.
Sistem Rekomendasi Wisata di Pekalongan melalui Chatbot dengan Framework Rasa Fakhri; Kristiawan Nugroho
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.3000

Abstract

Pekalongan, a city renowned for its batik and rich in cultural and natural attractions, has great potential in the tourism sector. However, limited access to integrated and easily accessible information poses challenges for tourists planning their trips. The Rasa-based Telegram chatbot addresses these challenges as an innovative solution. Through interactive engagement, tourists can receive recommendations for destinations, culinary spots, and other relevant information tailored to their preferences. This system leverages Rasa Natural Language Understanding (NLU) to interpret user queries and provide appropriate responses. Comprehensive tourism data of Pekalongan is embedded into the system to ensure accurate and relevant recommendations. The chatbot's evaluation includes direct user testing to measure the accuracy of recommendations, user satisfaction, and ease of use. Results indicate that the Rasa-based Telegram chatbot can deliver personalized and accurate recommendations, enhancing the travel planning experience for tourists visiting Pekalongan.
Analisis Clustering Penyakit Menular pada Manusia di Jakarta Timur Menggunakan Algoritma K-Means Muhammad Arya Ramadhan; Edhy Poerwandono; Yuma Akbar; Aditya Zakaria Hidayat
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.3007

Abstract

Humans are highly susceptible to various diseases without realizing their causes. The high incidence of infectious diseases in East Jakarta requires an analysis of distribution patterns to determine intervention priorities. This study aims to identify clusters of infectious diseases in East Jakarta, helping authorities plan effective prevention and treatment strategies. Data on infectious disease cases were obtained from the Central Statistics Agency of DKI Jakarta. The K-Means algorithm was used to cluster data based on variables such as period, region, type of disease, and number of cases. The results indicate several main clusters with distinct characteristics that can serve as a foundation for targeted strategies. From 2018 to 2021, diarrhea was predominant, making up 84.14% of cases in 2018 and 81.97% in 2019, pneumonia accounted for 32.92% in 2020, and TB Paru 33.63% in 2021. In conclusion, the K-Means algorithm effectively clusters infectious disease data and provides useful insights into disease distribution in East Jakarta, improving the impact of data-driven health programs.
Evaluasi Tata Kelola TI Layanan Sistem Informasi Akademik Tahfizh Menggunakan COBIT 5 Domain EDM Riza Hidayat; Sopan Adrianto; Dadang Iskandar Mulyana
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.3013

Abstract

With the rapid advancement of information technology, many organizations are leveraging it to support business processes, including in the education sector. Rumah Qur'an Al-Inayah in South Tangerang uses the Tahfizh Academic Information System to manage student administration. Although effective, there are still challenges, such as a lack of expert human resources, suboptimal system management, and data discrepancies. Evaluating the implementation of information technology using COBIT 5, particularly in the EDM (Evaluate, Direct, and Monitor) domain, is essential. This study employs a mixed-method approach, combining qualitative and quantitative methods. The evaluation results reveal gaps in five EDM subdomains: EDM 01 (0.58), EDM 02 (0.74), EDM 03 (0.9), EDM 04 (0.71), and EDM 05 (0.63). Recommendations include adding dedicated human resources, conducting regular maintenance, and optimizing task and access rights distribution. Implementing these recommendations is expected to improve the performance and IT governance at Rumah Qur'an Al-Inayah.
Analisis Sentimen Terhadap Sistem Informasi Akademik Mahasiswa pada Aplikasi Edlink dengan Metode K-Nearest Neighbor Citra Pricylia Ananda Mulya; Veri Arinal
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.3017

Abstract

The Sevima Edlink application is an academic information system that is widely used by educational institutions in Indonesia to manage student academic data and information. Although this application has various useful features, its successful implementation also depends greatly on user satisfaction and acceptance. Therefore, it is important to analyze user sentiment towards these applications to identify existing strengths and weaknesses. This research aims to analyze user sentiment towards the Sevima Edlink application using the K-Nearest Neighbor (K-NN) method. The K-NN method was chosen because of its simplicity and effective ability to classify sentiment data. The data used in this research are reviews from application users collected from various sources. The results of this research used the K-NN method, namely an accuracy value of 94.47%. So it can be said that the K-KNN algorithm can classify data well and correctly.
Prediksi Produksi Sablon di Perusahaan Tomoinc dengan Perbandingan Metode Single Moving Average dan Single Exponential Smoothing Galih Satria Yacob; Tundo; Dadang Iskandar Mulyana; Sri Lestari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.3018

Abstract

A common problem faced by companies is predicting future production of goods based on previously recorded data. The company produces only according to orders, conducting production processes solely based on consumer demand. Any excess production is stored as stock to meet sudden consumer demands. These predictions significantly influence management decisions regarding the quantity of goods that must be prepared, considering factors like general business and economic conditions, competitors' actions, government policies, market trends, product life cycles, styles and fashions, changes in consumer demand, and technological innovations. This research aims to identify and analyze screen printing production predictions using the Moving Average and Exponential Smoothing methods. The more data used for comparison, the more accurate the prediction results. The research successfully developed a screen printing production prediction system, facilitating easier determination of future production quantities.
Implementasi Game 2D Edukasi Pengetahuan Islam untuk Remaja Menggunakan Unity Yuma Akbar; Abdurrahman Asyam Albahy
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.3019

Abstract

This research aims to address the lack of interest among children in learning basic Islamic knowledge through conventional learning methods, which are often perceived as boring. The proposed solution is the development of Unity-based educational 2D games that present basic Islamic knowledge in an engaging and interactive way. The target audience for this research is children aged 12–15 years, who are expected to show greater interest and motivation to learn Islam through more enjoyable media. The methodology employed in this research is the Waterfall method, consisting of the stages of needs analysis, system design, implementation, verification, and maintenance. The tools used include Unity software for game development and Visual Studio for C# coding. The study also utilized surveys and observations to measure the game's effectiveness in enhancing children's knowledge and engagement. Through efficient project management, it is anticipated that this educational game will become an effective and engaging learning tool for children, while contributing significantly to the field of Islamic religious education.
Analisis Sentimen Kepuasan Publik Terhadap Masa Kepemimpinan Shin Tae Yong Menggunakan Algoritma Naïve Bayes Pramudya Nugraha; Rasiban; Frencis Matheos Sarimole; Tundo
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.3020

Abstract

Shin Tae Yong is the coach of the Indonesian national team who has been a football player in South Korea and has coached the South Korean national team at the 2018 World Cup in Russia. Many people watch or pay attention to Shin Tae Yong's behavior and behavior when coaching the Indonesian national team. Shin Tae Yong has considerable worry with the Indonesian national team because of his strategy. However, there are several media that frame Shin Tae Yong's news differently so that differences in viewpoints and opinions on Shin Tae Yong are controversial, inviting many people to give their opinions. Therefore, people choose social media as a place to channel opinions. In this study, we will take tweets from X with search keywords for Shin Tae Yong and the Indonesian national team to process and classify the text using the sentiment analysis method. The text classification process is divided into two classes, namely positive sentiment classes and negative sentiment classes. The data used amounted to 2495 data that had been cleansed, which amounted to 2.348 Positive sentiment data and 147 data with negative sentiments so that they can be presented 98.94% positive and 60.00% negative, based on the classification of the Naïve Bayes algorithm model, using a split comparative data 0.8 :  0.2 With the value of k=3 for Shin Tae Yong's dataset, an accuracy value of 96.67%.
Deteksi Dini Siswa Korban Bullying dalam Penerapan Data Mining Menggunakan Algoritma C4.5 pada SMP IDN Jonggol Dadang Iskandar Mulyana; Muhammad Hafiz Siregar
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.3022

Abstract

This research discusses the application of data mining using the C4.5 algorithm for early detection of student victims of bullying at IDN Jonggol Junior High School. The problem studied is how to identify students who are victims of bullying quickly and accurately using the available data analysis. The expected solution is the development of an early detection system that can provide early warning to the school so that intervention can be done earlier. The object of the study was IDN Jonggol Junior High School students. The method used involves collecting demographic data, behavior records, and bullying reports, which are then analyzed using the C4.5 Algorithm. The results showed that the C4.5 algorithm was able to classify student victims of bullying with an accuracy of 78.6%. Preliminary conclusions show that the C4.5 Algorithm has great potential to be used in the early detection of bullying. The implication of this research is the improvement of student safety and well-being through faster and more appropriate intervention. Recommendations from this research are further development of the detection system and its application in other schools
Strategi Distribusi Program Vlogger on The Road dari Voice of America yang ditayangkan oleh BTV Yunita Rizqianthi; Harry Tjahjodiningrat; Nala Nandana Undiana
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 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.v9i1.3023

Abstract

The basic idea of this research is the distribution of programs on Indonesian national television. How program programmers from abroad, namely VOA, can broadcast their programs on national television in Indonesia, then the programmer can be assured of having a very good program distribution system, so that it is very interesting and good to be applied to programmers of other television stations, especially in Indonesia. There are two issues raised in this research: distribution techniques and broadcasting policies in Indonesia that must be implemented by VOA. The purpose of this research is to find out the distribution plans and national broadcasting regulations implemented by VOA. This research applies mass media theory and distribution strategy theory using qualitative research methods. The research results show that the strategy carried out by VOA is through direct relations and adjustments by VOA to policies in Indonesia, namely VOA adapts content to make it relevant to issues that are important to Indonesian society. This research can be useful for other television stations in implementing program distribution systems.

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