Article Per Year (5 Year)
p-Index From 2021 - 2026
3.841
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Informatics and Communication Technology (IJ-ICT) TELKOMNIKA (Telecommunication Computing Electronics and Control) JOIN (Jurnal Online Informatika) Applied Information System and Management IJID (International Journal on Informatics for Development) Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika International Journal of Advances in Data and Information Systems JOINT (Journal of Information Technology Journal of Applied Data Sciences Jurnal Ekonomi Jurnal Info Sains : Informatika dan Sains Populer: Jurnal Penelitian Mahasiswa Jurnal Teknik Mesin, Industri, Elektro dan Informatika Journal of Artificial Intelligence and Digital Business Indonesian Journal of Education And Computer Science Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen Jurnal Intelek Insan Cendikia Router : Jurnal Teknik Informatika dan Terapan Modem : Jurnal Informatika dan Sains Teknologi Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi JIMT: Jurnal Informatika, Multimedia dan Teknik Router : Jurnal Teknik Informatika dan Terapan
Dwi Yuniarto
Informatika, Fakultas Teknologi Informasi, Universitas Sebelas April, Sumedang, Indonesia
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 44 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 44 Documents
Search

 1   2   3   4   5 
Analisis User Experience pada Aplikasi E-Office Sumedang Menggunakan Metode User Experience Questionnaire (UEQ) Studi Kasus: Kantor Kecamatan Rancakalong Inne Natya; Dwi Yuniarto; David Setiadi
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 2 (2025): April : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i2.410

Abstract

The purpose of this study is to analyze the use of the Sumedang E-Office application in order to improve service quality using the User Experience Questionnaire (UEQ) [1]. This study uses the User Experience Questionnaire (UEQ) survey methodology, and this study also collects survey data and a sample size of 25 people. The data sources for this study are primary data and secondary data. The research stage begins by determining the formulation of the problem, analyzing needs, defining questions, identifying respondents, measuring UEQ, and finally drawing conclusions. The results of this study indicate that the quality of the Sumedang E-Office application service still needs to be improved. This is supported by the results of the benchmark graph which is on average in the red range, namely the bad range. Of the six dimensions or existing measurements, those that need to be updated or improved: attractiveness, accuracy, stimulation and novelty.
Critical Success Factors for IT Risk Management in the Digital Transformation Era: Insights from a Multiple Case Study Yuniarto, Dwi; Rahman, Aedah Binti Abd.
Applied Information System and Management (AISM) Vol 8, No 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.41090

Abstract

The convergence of Information Technology risk management and digital transformation is a vital consideration for contemporary organizations navigating the rapidly changing digital landscape. This research investigates the intersection of these domains, aiming to identify the critical success factors that enable effective Information Technology risk management within the context of digital transformation. Through a Systematic Literature Review, a comprehensive search on Web of Science and Scopus led to the acceptance of 61 peer-reviewed papers published between 2020 and 2024, providing a solid foundation for understanding current trends and best practices. Employing a qualitative multiple case study approach, this study examines the experiences, strategies, and challenges of organizations that have successfully managed Information Technology risks during their digital transformation journeys. Thematic analysis reveals three key critical success factors: executive leadership and support, cross-functional collaboration, and risk-aware decision-making. These findings offer actionable insights for organizations seeking to align their risk management practices with the complexities of digital transformation. By bridging theoretical frameworks with practical insights, this research provides valuable recommendations for organizations to navigate digital transformation securely. Future research could focus on exploring the implementation nuances of these success factors across various industries, such as healthcare, finance, and manufacturing, to deepen our understanding of the intricate relationship between IT risk management and digital transformation in diverse contexts.
Artificial intelligence of things: society readiness Yuniarto, Dwi; Subiyakto, A'ang
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp2590-2600

Abstract

The convergence of artificial intelligence (AI) and the internet of things (IoT), known as the artificial intelligence of things (AIoT), represents a transformative leap in technology. This study investigated societal readiness for AIoT adoption and identified key factors influencing the readiness. The researchers used technology readiness index (TRI) model and broken down the model into the online survey’s instrument. The study used about 129 samples for examining the used variables, i.e., perceptions of innovation, technological skills, social and cultural influences, regulatory factors, and digital literacy. The authors employed partial least squares structural equation modeling (PLS-SEM) method using SmartPLS 3.0 to analyze the relationships between the variables of the model. The results highlighted innovation as a significant driver of societal readiness, while factors like discomfort have a lesser impact. Security and optimism also played moderate roles in shaping readiness. These findings offer crucial insights for stakeholders of the AIoT implementation by providing a foundation for strategies that promote the successful integration of AIoT into society. The study contributes to the broader discourse on technology adoption, offering a roadmap for enhancing societal preparedness.
Technology Acceptance in Augmented Reality Yuniarto, Dwi; Helmiawan, Muhammad Agreindra; Firmansyah, Esa
JOIN (Jurnal Online Informatika) Vol 3 No 1 (2018)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v3i1.158

Abstract

Augmented Reality is now used in many fields, including in terms of helping the learning process. The purpose of this research is to know the effect of interrelated based on Technology Acceptance model, namely Perceived Usefulness, Perceived Easy to Use, Behavioral Intention Use, and Actual System Use on the use of Augmented Reality based card game. This research resulted that hypothesis in this research accepted after going through data analysis process from questionnaire result. A huge interest in the use of Augmented Reality-based games as actual technology as a factor in whether or not the game is accepted. Users, viewed in terms of ease of use and the benefits posed by the game is also very influential on the acceptance of games based on Augmented Reality.
Assessment of Readiness and Usability of Information Systems Use Yuniarto, Dwi; Subiyakto, Aang; Abd. Rohman, Aedah Binti; Marliana, Reny Rian
JOIN (Jurnal Online Informatika) Vol 4 No 1 (2019)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v4i1.256

Abstract

The assessment of the use of information systems has been carried out by many researchers. This research was conducted in Private Universities in Indonesia, which currently involve many information systems in many ways, especially those related to the management of Higher Education, by measuring the readiness and usability of the use of information systems with models that I build from the integration of two models. The results of the measurement of this study were obtained from the distribution of questionnaires, there were 47% of respondents who filled 61-80% of the level of IS usage and 68% of respondents stated their readiness in the level of readiness to use IS. The stage consists of evaluating reflective measurement models and structural model assessments. Evaluating reflective measurement in evaluating internal consistency reliability using Composite Reliability, Reliability Indicator, Convergent Validity, and Discriminant Validity, finally concluded that the use of the Readiness and Usability integration model can be forwarded to a more complex research stage and can use the questionnaire.
Penerapan Augmented Reality Pengenalan Monumen sebagai Upaya Pariwisata Berkelanjutan Yuniarto, Dwi; Helmiawan, Muhammad Agreindra
Infoman's : Jurnal Ilmu-ilmu Informatika dan Manajemen Vol. 17 No. 2 (2023): Infoman's
Publisher : LPPM & Fakultas Teknologi Informasi UNSAP

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The implementation of Augmented Reality (AR) in monument recognition as a sustainable tourism strategy is an innovative approach that blends cultural heritage with modern technology. This research explores the concept and implementation of AR as a tool that enables monument visitors to dynamically interact with their cultural heritage. The methodology of a prototype is employed as the framework for this study. The research begins with an in-depth analysis of the current state of tourism and the challenges faced in cultural heritage preservation. A comprehensive literature survey is conducted to understand the latest developments in AR technology and its applications in the tourism sector. The outcome of this research is the development of an AR application that can be used by monument visitors. This application allows users to view monuments in their historical context, obtain in-depth explanations of architectural and cultural elements, and participate in interactive experiences that enhance their understanding of cultural heritage. The prototype methodology guides the stages of developing this AR application, from initial design to testing and ongoing improvement. Testing of the AR application is carried out at various monument locations, involving visitors in assessing its usage and its impact on the tourism experience. Evaluation results demonstrate a significant increase in visitor satisfaction, their understanding of monuments, and their interest in participating in sustainable tours. This research underscores the significant potential of AR technology in enhancing cultural heritage preservation efforts and sustainable tourism. The prototype methodology used not only guides the development of the AR application but also ensures that the application is user-centric and provides a satisfying experience. However, challenges in implementing this technology include technical aspects, financial sustainability, as well as education and training to maximize the benefits of AR in a tourism context. In conclusion, the application of AR in monument recognition is a crucial step towards a more sustainable future for tourism, with a focus on satisfying visitor experiences.
Perancangan User Interface Website Area Traffic Control System dengan Metode User-Centered Design Mandala, Wira Satria; Yuniarto, Dwi; Setiadi, David
Jurnal Informatika, Multimedia dan Teknik Vol 1 No 2 (2025): Januari-Juni 2025
Publisher : Yayasan Pendidikan Tanggui Baimbaian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71456/jimt.v1i2.1169

Abstract

Seiring dengan berkembangnya pertumbuhan kota, aktivitas transportasi menjadi semakin meningkat, hal ini dapat menimbulkan tantangan dalam manajemen lalu lintas, tantangan paling utama yang dialami oleh kota-kota besar yaitu kemacetan lalu lintas dan tundaan di beberapa area persimpangan. Terdapat teknologi yang dapat membantu mengatasi tantangan tersebut, salah satunya dengan menggunakan website area traffic control system atau sering disebut ATCS, website tersebut adalah sistem yang menyediakan informasi terkait dengan situasi arus lalu lintas secara real-time, sehingga ATCS dapat membantu dalam mengelola manajemen lalu lintas di persimpangan dengan lebih efektif. Fokus dari penelitian ini yakni merancang User Interface website ATCS yang user-friendly dan juga informatif, dalam penelitian ini menerapkan metode User-Centered Design yang terdiri dari empat tahap antara lain Understand Context of Use, Specify User Requirements, Design Solutions dan Evaluate Against Requirements. Hasil penelitian ini dengan menggunakan metode UCD telah berhasil menghasilkan tampilan yang berfokus pada pengguna, berdasarkan kebutuhan pengguna terhadap website. Sehingga memberikan kontribusi dalam pengembangan website ATCS dengan menyediakan informasi yang lebih informatif. Penelitian ini memiliki implikasi untuk mempermudah pengguna pada saat mengakses informasi dengan lebih cepat dan efisien. Untuk penelitian selanjutnya, dapat difokuskan pada pengembangan website ATCS dengan menggunakan bahasa pemrograman atau framework tertentu.
Analisis Data Superstore untuk Mendukung Pengambilan Keputusan Strategis dengan Pemanfaatan Dashboard Interaktif Ni'amillah, Isnaeni; Setiadi, David; Yuniarto, Dwi
Jurnal Informatika, Multimedia dan Teknik Vol 1 No 2 (2025): Januari-Juni 2025
Publisher : Yayasan Pendidikan Tanggui Baimbaian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71456/jimt.v1i2.1172

Abstract

Untuk membantu pengambilan keputusan strategis berbasis data, penelitian ini menganalisis data penjualan Superstore dari 2014 hingga 2017. Pengaruh diskon terhadap penjualan, wilayah potensial, produk unggulan, dan fluktuasi penjualan musiman adalah masalah utama. Pembersihan data, analisis mendalam, dan visualisasi melalui dashboard interaktif adalah solusi yang digunakan. Hasil penelitian menunjukkan bahwa penjualan mencapai puncaknya pada Kuartal 4, terutama pada November 2017. Wilayah West, khususnya California, mencatatkan penjualan tertinggi, sementara sub-kategori Phones (Technology) dan Chairs (Furniture) menjadi produk unggulan. Diskon terbukti memiliki korelasi positif terhadap peningkatan volume penjualan, dengan segmen pelanggan Consumer menjadi kontributor utama transaksi. Standard Class adalah mode pengiriman paling populer di kalangan pelanggan. Penelitian ini merekomendasikan strategi promosi diskon, manajemen stok untuk produk unggulan, dan optimasi mode pengiriman. Dashboard interaktif berfungsi sebagai alat eksplorasi yang efektif, membantu bisnis menemukan peluang baru dan meningkatkan profitabilitas.
Acceptance and Success Model for AI Use in Higher Education: Development, Instrument Decomposition, and Its Triangulation Testing Subiyakto, Aang; Huda, Muhammad Q; Hakiem, Nashrul; Suseno, Hendra B; Arifin, Viva; Azmi, Agus N; Sani, Asrul; Yuniarto, Dwi; Hartawan, Muhammad S; Suryatno, Agung; Muji, Muji; Kurniawan, Fachrul; Kusumawati, Ririen; Balogun, Naeem A; Ahlan, Abd. Rahman
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.619

Abstract

Prior social computing studies described that the performance of technology products is about how the product use benefits the users, including Artificial Intelligence (AI). To have an impact, ensuring how AI is used is a prerequisite after the development. Furthermore, its use is also influenced by how users accept AI. This study aimed to develop an acceptance and success model of AI use in the higher education world from the user perspective, to decompose the model into its instrument level, and to test the validity and reliability of the research instrument. The researchers developed the model by adopting and combining the Technology Acceptance Model (TAM) and the Information System Success Model (ISSM) and adapting the proposed model in the context of AI use in higher education learning. The measurement items were derived from definitions of the variables and indicators of the model. The instrument was tested sequentially using triangulation methods. The quantitative testing was online survey with about 51 respondents and the qualitative one was interview involving five experts. This study may contribute methodologically as one of the guidance for novice scholars in similar works. It may relate to the clarity of the research procedure and the implementation of the mixed testing methods. Of course, the assumptions, samples, and data used in the study cannot be generalized for the other studies. Referring to the model development, the proposed model may not cover the other factors related to the ethical, cultural, and organizational barriers for adopting AI. These barriers may also affect its acceptance and success. Thus, the adoption of the factors related the barriers may also be interesting to study further.
Penerapan Algoritma Machine Learning dalam Prediksi Prestasi Akademik Mahasiswa Riska Rismaya; Dwi Yuniarto; David Setiadi
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 1 (2025): Maret : Router : Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Profesi Telekomunikasi dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i1.389

Abstract

This study explores the application of machine learning algorithms, specifically Linear Regression and Decision Tree Regressor, for predicting student academic performance using academic grade data from Kaggle. The analyzed factors include attendance, assignment grades, midterm exam grades, and final exam grades. The research methodology encompasses data collection, preprocessing, model development, training, and validation. This study contributes to the field of educational data analytics by demonstrating how machine learning can provide actionable insights into students' learning patterns and academic outcomes. The findings emphasize the effectiveness of Linear Regression for linearly distributed data and Decision Tree Regressor for capturing complex, non-linear relationships. The implications of this research suggest that machine learning models can assist educators in identifying key factors influencing student performance, enabling targeted interventions to enhance learning outcomes. Future research should explore larger, more diverse datasets and incorporate ensemble methods, such as Random Forest or Gradient Boosting, to improve model generalization and prediction accuracy. Additionally, integrating socio-economic and psychological factors could provide a more holistic perspective on academic achievement.
Co-Authors Aang Subiyakto Aang Subiyakto A’ang Subiyakto Abd. Rahman Ahlan Abd. Rahman, Aedah Abd. Rohman, Aedah Binti Aedah Abd. Rahman Aedah Binti Abd. Rahman Aedah Binti Abd. Rahman Aedah Binti Abd. Rohman Asrul Sani Asrul Sani Azmi, Agus N A’ang Subiyakto Balogun, Naeem A Bernadus Gunawan Sudarsono Bernadus Gunawan Sudarsono David Setiadi David Setiadi Dede Wulan Rahayu Dody Herdiana Esa Firmansyah Esa Firmansyah Fachrul Kurniawan Finka Mambo Firmansyah, Esa Gefy Fitry Wijaya Gita Fitria Hadi Rahman Hartawan, Muhammad S Hasna Nazzala Khozinaturrohmah Huda, Muhammad Q Inne Natya Irma Rahayu Johan Ferdiyansyah Mandala, Wira Satria Muhammad Agreindra Helmiawan Muhammad Hilman Firmansyah Muhammad Q. Huda Muhammad R. Alghifari Muji, Muji Naeem Atanda Balogun Nashrul Hakiem Nashrul Hakiem Ni'amillah, Isnaeni Nuryasin Prastiawan, Kemal Hapidz Radhi Rabbani Rafli Ahmad Zulfikri Rahman, Aedah Binti Abd. Reny Rian Marliana Ririen Kusumawati Riska Rismaya Sani, Asrul Soffiah Ai Nurjanah Subiyakto, A'ang Suryatno, Agung Suseno, Hendra B Thosporn Sangsawang Viva Arifin Viva Arifin Yan Yan Sofiyan Yayan Cahyan Yopi Hidayatul Akbar