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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

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Sistem Pendukung Keputusan dalam Penentuan Beasiswa dengan Logika Fuzzy Tsukamoto di STMIK Sumedang Dody Herdiana; Dwi Yuniarto; Esa Firmansyah
Journal of Information Technology Vol 1 No 1 (2019): JoinT (Journal of Information Technology)
Publisher : LPPM STMIK AMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47292/joint.v1i1.6

Abstract

STMIK Sumedang is one of the high schools that has a scholarship system for Academic Achievement Improvement (PPA). Where PPA or Academic Achievement Improvement Scholarships are scholarships that are given to increase equity and learning opportunities like students who have academic achievements. Based on data collected, the number of scholarship applications is quite large, with various criteria students appear to have difficulties in determining the winners of student scholarships with almost the same number of indicators and criteria. On the basis of these findings, it is necessary to have a system that is able to help determine scholarship recipients that fit the criteria specified. The results achieved in the form of Decision Support Systems in Determining Scholarships are expected to help STMIK Sumedang in making scholarship decisions.
Technology Acceptance in Augmented Reality Dwi Yuniarto; Muhammad Agreindra Helmiawan; Esa Firmansyah
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 Dwi Yuniarto; A’ang Subiyakto; Aedah Binti Abd. Rohman; Reny Rian Marliana
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.
IMPLEMENTATION OF A MANAGEMENT INFORMATION SYSTEM BASED ON BLOCKCHAIN TECHNOLOGY Dwi Yuniarto
Jurnal Ekonomi Vol. 12 No. 04 (2023): Jurnal Ekonomi, 2023
Publisher : SEAN Institute

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Abstract

This research aims to investigate the application of management information systems based on blockchain technology in the context of modern organizations. By observing the global paradigm shift in data and information management, blockchain technology has emerged as a potential solution to address issues of security, transparency and data integrity. This research uses a qualitative approach to analyze the effect of implementing a blockchain-based management information system on operational efficiency, risk management and information security in an organization. This research method involves surveys, interviews, and documentation analysis to understand the impact of blockchain technology implementation on organizational management processes. The research results show that the application of blockchain technology in Management Information Systems (MIS) has great potential in improving operational efficiency and security in various sectors. Key benefits identified include increased data transparency, more decentralized financial management, and fairer copyright protection in the entertainment and media industries. Nonetheless, challenges such as high initial costs and differences in regulations across countries remain obstacles that need to be overcome to ensure broader and coordinated adoption of blockchain technology. Collaboration between government, industry and relevant stakeholders will be key in developing a framework that supports and overcomes these barriers, thereby enabling broader and more effective use of blockchain technology in the management of Management Information Systems in the future.
Implementing Cloud Computing in Companies to Increase Business Efficiency Dwi Yuniarto
Jurnal Info Sains : Informatika dan Sains Vol. 13 No. 02 (2023): Jurnal Info Sains : Informatika dan Sains , Edition September  2023
Publisher : SEAN Institute

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Abstract

Cloud computing has emerged as an attractive solution for companies looking to increase operational flexibility, reduce infrastructure costs, and improve business performance. Through comprehensive analysis of primary and secondary data, this research aims to evaluate the impact of implementing cloud computing in various corporate sectors. This research aims to investigate the application of cloud computing technology in a corporate environment as a strategy to increase business efficiency. This research uses a qualitative approach with descriptive methods. The research results show that the use of cloud computing services has had a significant positive impact on various business entities and organizations. The use of cloud computing helps optimize operational cost efficiency by reducing the need for expensive physical infrastructure, while providing high scalability and strong data security. Additionally, integration between cloud computing and the Internet of Things (IoT) has enabled efficient data collection and analysis remotely, facilitated effective cross-divisional collaboration, and enabled the development of complex projects. Overall, the results of this research emphasize the importance of adopting cloud computing as a crucial technological foundation for innovation and business growth in today's digital era.
Penerapan User Experience pada Aplikasi Pendaftaran Online RSUD Umar Wirahadikusumah Sumedang Soffiah Ai Nurjanah; Dwi Yuniarto
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4814

Abstract

This study aims to evaluate the user experience of the Online Registration application of Umar Wirahadikusumah Sumedang Hospital using the User Experience Questionnaire (UEQ) method. The evaluation was carried out on six aspects, namely attractiveness, clarity, efficiency, accuracy, stimulation and novelty, involving 30 application user respondents. The results showed that the Online Registration application of Umar Wirahadikusumah Sumedang Hospital received a Bad score on the Attractiveness aspect with a mean value of 0.42, the Clarity aspect received a Bad score with a mean value of 0.43, the Efficiency aspect received a Bad score with a mean value of 0.44, the Dependability aspect received a Bad score with a mean value of 0.48, the Stimulation aspect received a Bad score with a mean value of 0.35, and the Novelty aspect received a Below Average score with a mean value of 0.20. The results show that the application still needs to require improvements in various aspects to improve the quality of the user experience. Some recommendations that can be considered to provide better services include improving the interface that attracts user attention, simplifying the application flow, optimizing application performance so that it can be used efficiently, and adding some more innovative features.
Evaluasi Keamanan Sistem Pajak Daerah Online Kabupaten Sumedang Menggunakan Indeks Keamanan Informasi 5.0 Gita Fitria; Dwi Yuniarto; David Setiadi
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4817

Abstract

The digitalization of public services is a priority for local governments to enhance efficiency and transparency. Sumedang Regency has developed the Online Regional Tax Application System (SIAPDOL) to facilitate tax administration. However, SIAPDOL faces significant information security challenges, including data breaches and cyberattacks. This study evaluates SIAPDOL’s security level using the Information Security Index (KAMI) 5.0, which refers to ISO/IEC 27001:2022 standards. The research methodology includes interviews and literature reviews. The results indicate that SIAPDOL has a "Fairly Good" maturity level with a total score of 918, although aspects such as risk management, asset management, and security governance require improvement. Recommendations include developing comprehensive security policies, strengthening risk management procedures, and implementing advanced security technologies. This study contributes academically by providing insights into security evaluations of digital tax systems, while also offering practical recommendations for local governments to enhance the security and reliability of public digital services. Future research can explore AI-driven security solutions, comparative studies with other regions, and the impact of security measures on public trust.
Manajemen Risiko Keamanan Aset Teknologi Informasi di DISKOMINFOSANDITIK Kabupaten Sumedang Menggunakan ISO 31000:2018 Irma Rahayu; David Setiadi; Dwi Yuniarto
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4819

Abstract

The Sumedang Regency Communication and Informatics, Coding and Statistics Service is a government agency that utilizes information technology to support its operational activities. This research examines how security risks are managed for information technology assets in the Department. The risk management approach used in this research refers to ISO 31000:2018. The main objective of this research is to evaluate the extent to which the implementation of the ISO 31000:2018 standard is effective in protecting IT assets and minimizing risks that could disrupt smooth operations. The methodology used includes identification, analysis, evaluation and risk management. The identification results show that there are 14 potential risks, consisting of 7 low level risks, 3 medium level risks, and 4 high level risks. Risks in the high category require more attention, especially those related to power outages, which are recommended to be overcome by installing an automatic generator.
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.
The Impact of Algorithms on Decision-Making in Daily Life: A Polling Study of Technology Users Dwi Yuniarto; Akbar, Yopi Hidayatul; Abd. Rahman, Aedah; Herdiana, Dody
IJID (International Journal on Informatics for Development) Vol. 14 No. 1 (2025): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

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

Abstract

Algorithms have become an integral part of everyday life, particularly in entertainment, shopping, and navigation. This study examines how algorithms influence individual decision-making. Data were collected through an online poll involving 200 respondents, selected using a statistical sampling method. The results indicate that 55% of respondents perceive algorithms as having a significant influence on their decisions, while 28% report a moderate impact. A confidence interval analysis (95%) has been included to ensure statistical accuracy. The study highlights the importance of digital literacy in mitigating algorithmic bias and suggests future research on how socio-cultural factors shape algorithmic perceptions. This research contributes to understanding the extent of algorithmic influence on daily decision-making and raises user awareness of technology’s impact. The implications include the importance of digital literacy to mitigate dependency and bias in algorithm usage and the potential to develop more transparent and ethical algorithmic systems. Future research could explore the relationship between users' awareness of algorithms and their behaviors in various contexts and evaluate ways to enhance public understanding of how algorithms function in the evolving digital ecosystem.
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