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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 801 Documents
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Pengaruh Terpaan Pemberitaan Timnas Sepak Bola Indonesia terhadap Tingkat Fear of Missing Out (FOMO) pada Pengikut Akun Instagram @timnasindonesia Nafisah, Kimyatun; Sumardjijati, Sumardjijati
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
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.v10i1.4775

Abstract

This study aims to determine the effect of exposure to news on the Instagram account @timnasindonesia on the level of Fear of Missing Out (FoMO) in its followers. FoMO is a psychological condition in which individuals feel anxious or worried about missing out on important information that occurs around them, especially in the context of social media. This study uses a quantitative approach with a survey method on 100 respondents who are active followers of the @timnasindonesia account. The sampling technique was carried out by purposive sampling with certain criteria. The research instrument was compiled in the form of a questionnaire using a Likert scale that includes three indicators on the exposure variable (frequency, duration, attention) and three indicators on the FoMO variable (fear, worry, anxiety). Data assistance analysis was carried out using a simple linear regression test with IBM SPSS Statistics 29. The results showed that there was a positive and significant effect between news exposure on FoMO with a regression coefficient value of 0.556, t count of 4.414, and a significance value <0.001. The coefficient of determination (R²) of 0.166 shows that 16.6% of the variation in FoMO can be explained by the news exposure variable.
Implementasi Desain Responsif untuk Website UMKM dengan Bootstrap 5.0 (Studi Kasus: Chovan Seserahan) Febriyan, Salma Eka; Ningsih, Dewi Handayani Untari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
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.v10i1.5176

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in driving digital economic growth in Indonesia. However, many MSME actors have yet to fully utilize website technology as a medium for promotion and customer interaction. Chovan Seserahan, an MSME engaged in wedding gift decoration services, faces challenges related to its website's lack of responsiveness across different devices. This study aims to design a responsive landing page by implementing the Bootstrap framework version 5.0. The research adopts the Research and Development (R&D) method, which includes stages of needs analysis, interface design, implementation, and evaluation through heuristic testing and user trials. Bootstrap was chosen due to its mobile-first approach and its provision of adaptive and efficient user interface components. The evaluation results show significant improvements in navigation comfort, page loading speed, and visual consistency across multiple devices. Heuristic testing conducted by three validators yielded a feasibility score of 95.76%, indicating that the design quality and user experience are in the “highly feasible” category. In addition, user feedback revealed a positive shift in content accessibility and presentation. These findings demonstrate that implementing a Bootstrap-based responsive design is effective in enhancing user interface quality and strengthening the digital presence of MSMEs. Therefore, this approach offers a strategic solution to support the sustainable digital transformation of MSMEs.
Membangun Citra Pemerintah melalui Media Sosial: Strategi Komunikasi Pemprov Lampung di Era Digital Nurika, Sierta Putri; Aiyanti, Nina Yudha; Utaridah, Nanda; Kartika, Tina; Putra, Purwanto
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
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.v10i1.4834

Abstract

The development of information and communication technology has encouraged local governments to utilize social media as a strategic tool for delivering information, building a positive image, and establishing two-way communication with the public. This study aims to analyze the digital communication strategies implemented by the Provincial Government of Lampung in shaping a responsive and transparent government image in the digital era. This research employs a descriptive qualitative method, with data collection techniques including direct observation of the official social media accounts of the Provincial Government of Lampung, in-depth interviews with three key informants from the social media management team at the Department of Communication, Informatics, and Statistics, as well as documentation of uploaded digital content. The findings show that the Lampung Provincial Government actively produces and distributes informative and educational content, including government agendas, regional policies, and local cultural promotion. The content is presented in engaging visual formats, such as infographics and short videos, tailored to reach younger audiences. During one month of observation, the Instagram account @lampungprovgoid recorded 209,406 impressions, 5,089 interactions, and an increase of 395 new followers. Strategy evaluation is conducted through media analytics tools, public sentiment analysis, and regular issue monitoring. Although the strategy has shown positive results, challenges such as the spread of hoaxes, negative comments, limited human resources, and the influence of social media algorithms remain obstacles. Overall, the digital communication strategy of the Lampung Provincial Government has proven effective in strengthening public trust and building a government image that is open, modern, and adaptive.
Analisis Komparatif Kinerja Algoritma Support Vector Machine (SVM) dan LightGBM untuk Klasifikasi Penyakit Jantung Pangri, Muzakkir; Yusuf, Muhammad; Sari, Indah Purnama; N, Waode Faizah Zahra
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
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.v10i1.4900

Abstract

Heart disease remains one of the leading causes of death worldwide, making early detection and accurate classification essential to mitigating greater health risks. This study presents a comparative analysis of two machine learning algorithms Support Vector Machine (SVM) and Light Gradient Boosting Machine (LightGBM) for heart disease classification. The dataset used is the UCI Heart Disease dataset, comprising 920 patient records. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. Experimental results indicate that the SVM model achieved the highest accuracy at 84%, along with an F1-score of 86% for the positive class and a recall of 92%. In contrast, LightGBM demonstrated balanced performance, achieving 83% accuracy and an F1-score of 85%. These findings suggest that SVM holds a slight advantage in identifying heart disease cases, particularly in minimizing false negatives an aspect that is critical yet often overlooked in prior comparative studies.
Aktivitas Layanan Digital Lembaga Polri dalam Memberi Informasi kepada Masyarakat (Studi Kasus di Kota Depok) Nainggolan, Maringan; Anom, Erman
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
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.v10i1.5265

Abstract

This study examines the effectiveness of the Indonesian National Police’s (Polri) digital services in Depok City, focusing on information dissemination, implementation challenges, and public perceptions. Using a qualitative case study approach with interviews, observations, and documentation, the findings reveal that Polri's digital services have improved communication, accelerated information delivery, and simplified administrative access. However, challenges remain, including limited infrastructure, low digital literacy among some groups, insufficient personnel skills, and poor system integration. While public perception is generally positive especially among younger users elderly and marginalized communities still face access barriers. The study concludes that although Polri’s digital transformation shows promise, further improvements in infrastructure, human resources, and inclusive outreach are needed to ensure equitable and effective public service.
Analisis Algoritma Machine Learning untuk Prediksi Parameter Flue Gas pada PLTU Batubara: Studi Literatur 2019–2024 Saputra, Tino; Munawar, Munawar
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
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.v10i1.5083

Abstract

Improving combustion efficiency and reducing flue gas emissions in coal-fired power plants (CFPPs) have become critical priorities amid growing global pressure to mitigate the environmental impact of the energy sector. Machine learning (ML) has demonstrated strong potential in predicting flue gas parameters, yet systematic reviews mapping algorithmic trends, implementation challenges, and integration opportunities with CFPP operations remain limited. This study presents a systematic literature review (SLR) of 31 selected articles published between 2019 and 2024 across Scopus, IEEE Xplore, and ScienceDirect databases, utilizing the PICOC framework for selection. The analysis shows that LSTM is the most frequently applied model for temporal prediction of flue gas temperature, while Random Forest is widely adopted for estimating NOx emissions. However, most studies are constrained to single-plant datasets, and real-time control system integration is still uncommon. These findings highlight the need for hybrid approaches that emphasize not only predictive accuracy, but also model interpretability via Explainable AI methods such as SHAP, and adaptability across diverse operational conditions. This study advocates future development directions by embedding predictive models within digital twin frameworks to enhance decision-making and optimize system performance sustainably. As such, the review contributes to bridging academic research with practical industrial demands in coal-based energy generation.
Peran Vital Instagram dalam Mitigasi Krisis Kepercayaan Label Halal UMKM Pramadhanti, Nurul Fara; Ayuningtyas, Fitria
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
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.v10i1.5466

Abstract

The halal label is an important factor in purchasing decisions. Communication crises related to halal labeling, which can affect consumer trust, often appear on social media. One real example is the case of Ayam Goreng Widuran Solo, which in 2024, was involved in a controversy after it was revealed that their products used non-halal ingredients, causing confusion and concern among Muslim consumers. This case quickly went viral on social media, affecting the reputation of this long-established restaurant and triggering a significant decline in sales and customer trust. Therefore, a responsive and transparent crisis communication strategy is needed to overcome the negative impact and restore reputation. This study uses a qualitative method that analyzes how UMKM, especially Ayam Goreng Widuran Solo, optimize social media as a crisis communication tool in dealing with the issue of halal labeling. This study combines crisis communication studies with the use of digital platforms, identifying best practices and challenges faced by UMKM in responding to reputation crises in the digital era. The results of the study indicate the importance of a deep understanding of social media algorithms that can influence public perception, as well as the organization's ability to manage communications with timely and accurate responses.
Adaptasi Mahasiswa terhadap Teknologi Artificial Intelligence dalam Komunikasi Pendidikan: Studi Kasus Perguruan Tinggi di Lampung Esyarito, Mohammad ‘Afief; Aryanti, Nina Yudha; Utaridah, Nanda; Kartika, Tina; Putra, Purwanto
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
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.v10i1.4802

Abstract

This study aims to explore how students adapt their communication in utilizing Artificial Intelligence (AI) in the educational context, and to examine its impact on interpersonal communication, academic integrity, digital literacy, and readiness for the workforce. A qualitative descriptive approach was employed, using data collected through a Google Form questionnaire completed by 105 student respondents. The data were analyzed thematically to identify patterns in student experiences. The findings reveal that 96,2% of students felt AI helped them understand course material more efficiently, while 61% acknowledged the potential threat to academic honesty. Additionally, 85% reported that AI improved their digital literacy and preparedness for a technology-driven work environment. Ethical challenges, such as dependency and violations of academic integrity, emerged as major concerns. In conclusion, AI holds significant potential to support learning, but its use must be accompanied by ethical awareness and effective communication within the educational environment.
Kapitalisme dalam Industri Media TikTok: Komodifikasi “Keranjang Kuning” terhadap Produksi Konten Qolbiyah, Syifaul; Firdaus, Salsabil Fadilah; Ulfa, Wildana
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
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.v10i1.4913

Abstract

This study examines how capitalism operates within the TikTok platform through the commodification of content creators, specifically via the yellow cart feature. Using a descriptive qualitative method based on literature review, data were gathered from academic articles, books, and relevant reports. The findings reveal that the yellow cart functions as a direct monetization channel, incentivizing creators to embed affiliate products into their content. This mechanism shifts creators' motivations from self-expression to market-oriented goals. TikTok’s algorithm amplifies such content by increasing the visibility of videos containing affiliate links, thereby reinforcing a rapid cycle of production and consumption driven by profit. This has led to a measurable behavioral shift: creators prioritize promotional content over originality, and audiences are increasingly exposed to embedded commercial messages. The study concludes that TikTok serves as an effective vehicle of digital capitalism, reshaping the creator economy and contributing to content homogenization. The practical implication highlights the need for critical digital literacy to navigate platform-driven economic incentives and algorithmic influence.
Assessing the Effectiveness of COBIT Implementation in Improving IT Operational Performance in Indonesian Enterprises Kardiyasa, Komang Agus Putra; Putra, Anak Agung Adi Wiryya
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 1 (2026): JANUARY 2026
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.v10i1.5081

Abstract

The impact of COBIT implementation on IT operational efficiency, using a mixed- method approach that focuses on quantitative analysis. A total of 387 valid respondents were obtained through stratified random sampling targeting IT professionals from various industry sectors. This study measured improvements in cost reduction, service response time improvement, and security incident reduction. The results indicate that COBIT implementation significantly correlates with an average operational cost reduction of 28.5%, a 34.2% improvement in service response time, and a 41.7% decrease in security incidents. Organizations with a higher COBIT maturity level (Level 4-5) showed better performance compared to Level 2-3. The DSS domain had the highest impact on efficiency (r = 0.847). The developed predictive model explains 74.3% of the variance in operational efficiency. This research offer practical insights for organizations aiming to enhance IT performance through structured governance. The study provides actionable recommendations, including prioritizing DSS processes, conducting maturity assessments, and adopting phased implementation strategies to optimize COBIT adoption.

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