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Riyan Maulana
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INDONESIA
Journal Informatic, Education and Management (JIEM)
Published by STMIK Indonesia Banda Aceh
ISSN : -     EISSN : 27160696     DOI : -
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Other
Perkembangan ilmu pengetahuan terkait dengan teknologi, informasi dan komunikasi baik secara teoritis maupun empiris terbukti sudah memberikan dampak positif bagi berbagai sisi kehidupan masyarakat. Perkembangan ilmu Bidang Teknologi Informasi Dan Komunikasi sudah banyak memberikan manfaat bagi peningkatan efektifitas dan efisiensi dalam berbagai kegiatan berbagai bidang ilmu. Kategori Jurnal TIK menghasilkan berbagai produk seperti; Produk Hardware (Perangkat Keras), Produk Software (Perangkat Lunak), IT Security (Keamanan TIK), Mobile, Storage (Penyimpanan), dan Networking(Jaringan). Demikian pula halnya dengan ilmu Teknologi Informasi Dan Komunikasi dapat memberikan kontribusi bagi kemudahan pelaksanaan tugas-tugas administasi baik dilembaga pemerintah maupun non pemerintah. Hingga saat ini, penelitian terkait dengan Teknologi Informasi Dan Komunikasi sudah banyak dilakukan oleh akademisi, praktisi maupun peneliti yang konsen terhadap bidang ilmu tersebut. Namun tidak semua hasil penelitian dapat dipublikasikan dalam jurnal ilmiah. Kehadiran Journal Informatic, Education And Management (JIEM) tidak hanya bermaksud untuk mempublikasikan hasil kajian empiris dan teoritis terkait dengan system informasi, system komputer, pendidikan, dan manajemen. Tetapi lebih dari itu, JIEM menjadi salah satu sarana diseminasi hasil penelitian yang berkaitan dengan ketiga bidang ilmu tersebut.
Arjuna Subject : Umum - Umum
Articles 230 Documents
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Machine Learning Models for Predicting Mental Health Indicators Using Digital Physical Activity Data: A Systematic Literature Review Dirga Febrian; Rolly Maulana Awangga
Journal Informatic, Education and Management (JIEM) Vol 7 No 2 (2025): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i2.142

Abstract

This systematic literature analysis examines 40 studies (2020–2025) on the use of machine learning to predict mental health using digital activity data. Two research questions are presented: algorithm performance comparison and model effectiveness factor. Data surveys (43,9%) are a more widely used data collection method. Because of its interpretability, Logistic Regression is the most popular (29.3%), whereas Random Forest (26.8%) is best for performance-interpretability. With a rata-rata accuracy of 80.1% ± 4.2% and an AUC of 87.1% ± 1.8%, XGBoost provides superior performance. The best study achieves an AUC >0,98 through feature engineering that canggih using SHAP and recursive feature elimination. Critical success factors include cermat fitur selection, temporal dinamika, cross-validation, and clinical interpretability. Although machine learning has significant potential, there are still challenges with standardization, generalizability, and real-world implementation. Research in the long term requires longitudinal studies, external validation, and standard protocols to realize this technology's potential in improving mental health outcomes.
Digital Payment Adoption in Crowdfunding Platforms: Systematic Literature Review Gilar Wahibul Azhar; Rolly Maulana Awangga
Journal Informatic, Education and Management (JIEM) Vol 7 No 2 (2025): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i2.143

Abstract

Digital payment adoption on crowdfunding platforms has emerged as a significant research area in the field of financial technology. This study presents a systematic literature review of 40 peer-reviewed articles published between 2020 and 2025, using the PRISMA 2020 framework to analyze digital payment adoption patterns in crowdfunding platforms. Three main research questions are addressed: (1) factors influencing user preferences between traditional digital payments and cryptocurrency, (2) mechanisms by which payment technologies enhance platform security and trust, and (3) the most effective research methodologies for analyzing digital payment adoption. From an initial pool of 847 articles across four major databases (Scopus, Web of Science, IEEE Xplore, and ScienceDirect), 40 studies met the inclusion criteria. The analysis reveals that trust is the dominant factor (80%), followed by ease of use (70%), and social influence (55%). The Technology Acceptance Model (TAM) is the most commonly used theoretical framework (47.5%), with Structural Equation Modeling as the primary analytical method (32.5%), and surveys employed in 65% of the studies. QR-based mobile payments show the highest adoption rates (78%) due to perceived ease of use and the influence of the COVID-19 pandemic. Cryptocurrency adoption varies by demographics, with Millennials and Generation Z demonstrating 40% higher acceptance compared to older generations. Blockchain-based payment systems significantly improve transaction security (up to 85%) through smart contracts and decentralized architecture, yet face barriers related to technical complexity and regulatory uncertainty. These findings offer practical implications for platform developers, policymakers, and fintech stakeholders, including trust-centered design, user-friendly blockchain integration, and digital financial literacy programs. Future research should adopt standardized methodologies and longitudinal approaches to better understand long-term adoption dynamics.
The Strengths and Weaknesses of Artificial Intelligence in Improving Writing Skills: A Users’ Perspective Jamilah; Wahdaniah; Putri, Yetty Tri; Ginting, Sridinanta Br
Journal Informatic, Education and Management (JIEM) Vol 7 No 2 (2025): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i2.144

Abstract

The advancement of artificial intelligence (AI) technology has significantly impacted the education sector, particularly in the development of Indonesian Language writing skills. This study aims to explore how users utilize AI to enhance their Indonesian Language writing skills and to examine their feelings and experiences when using this technology. The study investigated 52 high school students from four schools in Lhokseumawe, Indonesia, who are familiar with using AI in their studies, including writing. This study explores Indonesian high school students' perception and use of AI for writing skills improvement, highlighting benefits and challenges, and the need for guided AI integration in education. A qualitative approach was employed, with data collected through non-participatory online observation, semi-structured interviews, and digital content analysis. The results of the study show that AI helps users improve their grammar, expand their vocabulary, and write more structured texts. However, several limitations were identified, including dependence on the system and a lack of guidance for independent critical thinking. These findings suggest that AI has the potential to be an effective tool for learning to write, but its use still needs to be guided by instructions so as not to reduce the active learning process.
Determination Of Organizational Culture And Employee Career Development On Employee Job Satisfaction At The North Aceh Health Office Rahmi; Muhammad Ferdiananda Chadafi; Chairul Bariah; Dina Hendiyani; Yuni Maulizar
Journal Informatic, Education and Management (JIEM) Vol 7 No 2 (2025): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i2.145

Abstract

The objective of this study is to investigate the influence of organizational culture and career development on employee job satisfaction at the North Aceh Health Office. This research adopts a quantitative approach utilizing a survey method. The study sample comprises 61 employees from the institution. Data were collected through a structured questionnaire that had undergone validity and reliability testing using SPSS version 29. The findings reveal that organizational culture exerts a positive and statistically significant effect on job satisfaction, as indicated by a regression coefficient of 0.363 and a t-value of 3.954, which exceeds the critical value of 1.671, with a significance level of 0.000 (p < 0.05). Furthermore, career development also demonstrates a positive and significant impact on employee job satisfaction, supported by a regression coefficient of 0.335 and a t-value of 3.041, both exceeding the required thresholds, with a significance level of 0.000 (p < 0.05).
Quality Management in Developing Student Competencies in Madrasas/Schools Firman; Febrineng
Journal Informatic, Education and Management (JIEM) Vol 7 No 2 (2025): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i2.149

Abstract

Education is a form of human culture that develops and changes through teaching and training. This education coexists with changes occurring in the culture of life. Religious education taught in madrasas/schools may not necessarily inspire harmonious change in life. Teachers are required to monitor the quality of learning and implement quality management that impacts students. Quality management is a system that can transform the quality of an organization, thereby creating member satisfaction and improving organizational performance. To improve the quality of madrasas/schools, the primary focus is improving the quality of learning within the institution itself. Law No. 20 of 2003 states that learning is the process of interaction between students, teachers, and learning resources in a learning environment. The author's data analysis focused on library research, utilizing library sources including books, scientific articles, journals, e-books, and other documents relevant to the research being studied.
Tourist Satisfaction Level of Pramuka Island During the COVID-19 Pandemic Fristi Bellia Annishia; Dio Dwi Saputro
Journal Informatic, Education and Management (JIEM) Vol 7 No 2 (2025): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i2.147

Abstract

The Thousand Islands is the only island-based marine tourism destination in Jakarta. As the name suggests, the Thousand Islands consist of thousands of small islands, one of which is Pramuka Island. Pramuka Island is not only a tourist destination but also serves as the administrative center of the Thousand Islands. This makes Pramuka Island play a crucial role in the development of the surrounding islands to enhance tourist satisfaction. The significant decline in tourist visits in 2021 was seen due to the impact of the Covid-19 pandemic. Therefore, it is important to understand the level of visitor satisfaction on Pramuka Island so that tourism destination managers can improve the quality of their services. This study aims to determine the level of visitor satisfaction on Pramuka Island during the Covid-19 pandemic based on a comparison between expectations and reality perceived by visitors regarding product quality and tourism services. This study was conducted in 2022 using a quantitative approach with a sample of 191 respondents. The research instrument was a 19-item questionnaire, which was then analyzed using Microsoft Excel to determine the average value of the gap between expectations and reality perceived by visitors to Pramuka Island. The calculation results showed that the satisfaction level based on product quality was 0.55, categorized as quite satisfied, and service quality was 0.53, categorized as quite satisfied. The purpose of this research is to obtain an overview of visitor satisfaction levels. Therefore, it is hoped that Pramuka Island destination managers will improve service and product quality to increase tourist visits to Pramuka Island.
Literature Review of Tax Audits: Reflections on the Minister of Finance Regulation Number 15 of 2025 Concerning Tax Audits Riantari Maharani; Biizni Putri Bengi; Chairanisa Natasha Miraza; Muhammad Ichsan Adnan; Imam Gunanjar
Journal Informatic, Education and Management (JIEM) Vol 7 No 2 (2025): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i2.148

Abstract

Tax audits are an important tool in efforts to improve taxpayer compliance and optimize state revenue. In line with technological advancements and the increasing complexity of economic transactions, the Directorate General of Taxes has undergone a digital transformation through the implementation of the Coretax Administration System, which encourages the renewal of tax audit administration. This study aims to analyze the implementation of Minister of Finance Regulation Number 15 of 2025 on Tax Audits, which brings reforms in audit governance, including regulatory simplification, audit classification, transparency through Terms of Reference, and the digitization of audit document submission. This study employs a descriptive literature review method, drawing from relevant regulations and literature in the field of taxation. The results of the study indicate that the implementation of this regulation has been able to streamline the audit process, increase legal certainty, and contribute to tax education for taxpayers through audits that utilize databases. This reform is expected to strengthen a fair, transparent, and accountable national tax system and encourage voluntary compliance by taxpayers to support national development.
Optimizing Network Uptime Through Dual ISP Failover Implementation Using Netwatch Hoesiin; Boy Yuliandi
Journal Informatic, Education and Management (JIEM) Vol 7 No 2 (2025): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i2.150

Abstract

Stable internet connectivity is a crucial aspect in supporting company operations, especially for businesses that rely on Point of Sale (POS) systems such as PT. XYZ. A common issue encountered is the loss of internet connection due to disruptions from the primary Internet Service Provider (ISP), which results in the POS system becoming inoperable and transactional activities being disrupted. To address this problem, this study proposes and implements a failover solution using two ISP connections with the help of MikroTik devices and the Netwatch feature. The methodology employed follows the Network Development Life Cycle (NDLC) approach, consisting of six phases: analysis, design, simulation, implementation, monitoring, and management. The analysis phase is conducted to identify network needs and issues. In the design phase, a dual ISP topology is created along with NAT configuration, static routing, and Netwatch as the connection detection system. The implementation phase involves setting the primary and backup routes using distance parameters and automated Netwatch scripts to switch connections during disruptions. Testing results show that failover occurs automatically in under five seconds without significantly affecting the internet connection. The results demonstrate that the dual ISP system with failover configuration effectively minimizes downtime and enhances overall network availability. This solution is also flexible and can be adapted for other branches with cost efficiency and good scalability.
Analysis of Elementary School Students’ Scientific Literacy Skills on the Topic of Animal Life Cycles Evendi; Arviani, Venni; Ezmar; Rizki Aria
Journal Informatic, Education and Management (JIEM) Vol 7 No 2 (2025): AUGUST
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i2.151

Abstract

The mastery of scientific literacy is a critical competency in 21st-century education, enabling students to apply scientific knowledge in solving real-world problems. However, evidence shows that elementary school students in Indonesia generally achieve low levels of scientific literacy, particularly in conceptual reasoning and the application of scientific evidence. This study aimed to analyze the scientific literacy skills of Grade IV students at UPTD SD Negeri 2 Peusangan Siblah Krueng, focusing on three key indicators: identifying scientific evidence, explaining scientific phenomena, and applying scientific evidence in daily life. Employing a descriptive qualitative approach with an intrinsic case study design, data were collected from 25 students through a 15-item test developed based on the Programme for International Student Assessment framework. The responses were analyzed using content analysis to categorize ability levels. The results indicated that 44% of students were in the low category, 40% in the high category, and 16% in the moderate category. Students performed best in identifying scientific evidence, followed by applying evidence in real-life contexts, while the lowest achievement was in explaining phenomena, reflecting limited conceptual understanding and reasoning ability. These findings highlight the need for transforming science instruction from content delivery to experiential, inquiry-based, and problem-based learning integrated with real-life contexts and technology. Such pedagogical reforms are expected to foster deeper conceptual mastery, critical thinking, and practical application of scientific knowledge, thereby contributing to both the theoretical development of science education and practical efforts to enhance 21st-century competencies at the primary school level.
Development of Seamless PBR Textures for 3D Amigurumi Doll Objects with an AI-assisted Image Processing Approach T. Rafli Abdillah; Muhammad Erfan Syah; Ledyana Fitriani; Iskandar Zulkarnaini
Journal Informatic, Education and Management (JIEM) Vol 7 No 1 (2025): FEBRUARY
Publisher : STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61992/jiem.v7i1.152

Abstract

The demand for high-quality 3D assets in the animation and multimedia industry is increasing. One of the main challenges in developing 3D models is the availability of realistic and seamless PBR (Physically Based Rendering) textures, especially for fabric-based objects such as amigurumi dolls. This study aims to develop seamless PBR textures based on reference photos of amigurumi dolls using an AI-assisted image processing approach . The process begins with data collection in the form of amigurumi doll photos, which are then processed using generative AI technology to generate initial texture patterns. Next, Adobe Photoshop is used for refinement so that the textures meet seamless standards and PBR components such as diffuse/albedo, normal, and roughness maps. The results show that this approach can produce high-quality PBR textures efficiently compared to manual methods. These findings can be used as a reference in the production of textile-based 3D assets for animation, games, and interactive learning media.

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