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All Journal POSITIF InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan SISFOTENIKA Technomedia Journal Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal ADI Journal on Recent Innovation (AJRI) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics International Journal of Marine Engineering Innovation and Research ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Journal of Applied Data Sciences IAIC Transactions on Sustainable Digital Innovation (ITSDI) International Journal of Engineering, Science and Information Technology International Journal of Cyber and IT Service Management (IJCITSM) Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application

Marviola Hardini

Universitas Raharja

Author-ID : 3170999

Religion Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 29 Documents Claim Missing Document

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The Value of Technological Developments Based on An Islamic Perspective Nurhaeni, Tuti; Lutfiani, Ninda; Singh, Ankur; Febriani, Widya; Hardini, Marviola
International Journal of Cyber and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Islamic values cover all aspects of spiritual, intellectual, economic, social and scientific life. An area that has no boundaries of generations and advances in civilization such as Islam has an impact on the value of technological knowledge, messages spread through direct determination, reminders of Allah SWT blessing, proof based on the past, and allusions of science as fact through modern scientific activities. Includes 5 (five) roles of Islam in modern scientific activities, including: as a basis for scientific and technological research; implementation of epistemology; provides answers to scientific research questions, encourages exploration of nature as God's creation; as a form of value in the development of technological science. So this research is made based on an Islamic perspective related to science and technology research, which concludes that Islam provides a positive image of the value of scientific research and innovation in technological development. This research proves that the global Islamic world understands the extraordinary creations of Allah SWT which are manifested through technological science to provide individual and social welfare for human beings, and provide value to scientific technology policies from an Islamic perspective.

Modern Technology Advances with Benefits for Humanity to Demonstrate Design with Conventional Sources Islamic Lestari Santoso, Nuke Puji; Dudhat, Amitkumar; Teja Sukmana, Husni; Mardiansyah, Aditya; Hardini, Marviola
International Journal of Cyber and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

There is an urgent interest among Muslims to participate in broader religious thought activities regarding the nature of modern technology in response to the refutation presented by the ideals of current technology. The impact and use on understanding modern technology cannot be limited. It is so much more pervasive because it conditions ideas, creates our goals and desires. In order to measure modern technology from within the framework of Islamic ethics and design the Islamic paradigm, this is very important by looking at psychological, spiritual, social, moral and circles of the latest postmodernist technology. For holistic insight and moral enhancement of technology, fortitude and practical appropriateness to respond to the latest (contemporary) incident produced due to technology that is holy and ethical poor. Maqashid al-syar'ah hold a useful asset. Muslims should review their traditional notions of Advantage (maṣlaḥah) along with take advantage of these fundamental religious ethics. The design of technological development is beneficial for mankind, because modern technology is infused through It is having a plan all by itself regarding good activities. The intense problem of the Islamic background is which kind of human needs (maṣlaḥah) intense a religion legal discussion can deal with the set of technological values. Muslim jurists, when assessing modern technology, often make use of expressions that describe the optimistic predictions of technology when it comes to human success. This resulted in most of them interpreting human benefit (maṣlaḥah) in terms of technology and issuing fatwas. This makes them be given a particularistic technique to the effect of cutting-edge generation with out considering the effect that current era would possibly have on Muslim life. In this article, it is argued that the contextual-important philosophy of contemporary-day era describes one of the preconditions for outlining what constitutes a reputable human interest (maṣlaḥah). This may be accomplished whilst on the identical time increasing the scope of Islamic Goals (maqashid al-syar'ah) to consist of critical lectures. It links the dual hermeneutic action between the Islamic (time) conception of human goodness (maṣlaḥah) and the axiological contextual perception of the problem during the model of technological development.

PoTS: Proof of Tunnel Signature for Certificate Based on Blockchain Technology Immaniar, Dewi; Azizah, Nur; Supriyanti, Dedeh; Septiani, Nanda; Hardini, Marviola
International Journal of Cyber and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Proof of Tunnel Signature (PoTS) is designed to avoid the main problems found in certificates based on Blockchain technology. In this case, it is so closely related to Cybersecurity. A lightweight protocol such as a Certificate Authenticated Key Agreement (CAKA) is needed to reduce the vulnerability of a system's operation, namely overcoming management overhead by using a decentralized system according to the characteristics of Blockchain Technology. PoTS is the second stage after determining the Key Agreement (KA) or certificate hash in authenticating a node, and this is also a significant step in minimizing computation costs. The nodes generated after the signing process remain anonymous and can be verified optimally. Smart contracts are also used as a support so that this research can ensure transparency and openness of transaction nodes to maintain and improve the efficiency of transaction security for a certificate based on Blockchain Technology.

Corporate Strategies to Improve Platform Economic Performance: The Role of Technology, Ethics, and Investment Management Leffia, Abigail; Anjani, Sheila Aulia; Hardini, Marviola; Sihotang, Sondang Visiana; Aini, Qurotul
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.14

Amid the rapid growth of the platform economy, companies are feeling the pressure to adopt innovative technologies to improve their performance. Meanwhile, in an effort to achieve sustainable growth, ethical issues also arise that must be resolved. This research aims to investigate how the integration of technology and ethical principles can contribute to improving corporate performance in the platform economy environment. We explore how companies can overcome the dilemmas that arise when they adopt advanced technologies while also considering deep ethical aspects. This research methodology involves the SmartPLS approach to analyze the relationship between technological variables and ethical variables on company performance, involving 120 participants. It is hoped that the results of this research will provide valuable insight into how companies can optimize the use of technology while still adhering to strong ethical principles, with the aim of achieving superior performance in the competitive platform economy market. Thus, this research provides a significant contribution in understanding how companies can achieve sustainable excellence amidst changing economic dynamics.

Management of Utilizing Data Analysis and Hypothesis Testing in Improving the Quality of Research Reports Yusup, Muhamad; Syauqi Naufal, Romzi; Hardini, Marviola
APTISI Transactions on Management (ATM) Vol 2 No 2 (2018): ATM (APTISI Transactions on Management)
Publisher : Pandawan

Data analysis and mathematical techniques play a central role in quantitative data processing. Quantitative researchers estimate (strength) the strength of the relationship of variables, and test hypotheses statistically. Unlike the case with qualitative research. Although qualitative researchers might test a hypothesis in the analysis process, they do not estimate or test hypotheses about the relationship of variables statistically. Through tests or statistical tests can be used as the main means for interpreting the results of research data. It is through this statistical test that we as researchers can compare which data groups and what can be used to determine probabilities or possibilities that distinguish between groups based on an opportunity. Thus, it can provide evidence to determine the validity of a hypothesis or conclusion. In this study, we will discuss the preparation of data for analysis such as editing data, coding, categorizing, and entering data. As well as discussing the differences in data analysis for descriptive statistics and inferential statistics, differences in data analysis for parametric and non-parametric statistics in research, explanations of multivariate data analysis procedures, and also forms of research hypotheses.

Analysis of Covid 19 Data in Indonesia Using Supervised Emerging Patterns Rahardja, Untung; Dewanto, Ignatius Joko; Djajadi, Arko; Candra, Ariya Panndhitthana; Hardini, Marviola
APTISI Transactions on Management (ATM) Vol 6 No 1 (2022): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i1.1768

This research method uses CRISP-DM with emerging pattern supervision modeling and EPM Algorithm. The contribution of the research is to assist the Government in overcoming the problem of the spread of the COVID-19 cluster in several regions in Indonesia. The research aims to implement information on the COVID-19 data mining pattern in the DKI Jakarta area. The problems faced are the difficulty of identifying the pattern of COVID-19 data in one area, it is difficult to dig up data on the http://corona.jakarta.go.id website. It is not easy to decide on the handling of COVID-19. The output of the research results in a cluster of information on COVID-19 in the DKI Jakarta area based on Significance level depends on the Covid Map In terms of Region, Status, Gender, & age And Signification can be the basis for determining covid OTG, DTG, and Positive. The theoretical and practical implications can be stated as follows: The use of supervised emerging pattern methods can affect the processing of COVID-19 data. For 5 Regions in DKI Jakarta and distribution to determine covid OTG, DTG, and Positive. The result of the development of this data mining system is to produce pattern reports to produce Supervised Emerging Patterns technology for decision making at the COVID-19 Task Force in DKI Jakarta.

Risk Management Model for Compliance and Security in Blockchain Powered Payment Platforms Novalita Savitri, Agnes; Hardini, Marviola; Yao, Goh
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2475

Blockchain technology has revolutionized financial services by enabling decen- tralized, transparent, and tamper-resistant payment platforms. However, these innovations bring significant challenges related to regulatory compliance and security management, which threaten platform adoption and user trust. This study aims to develop and empirically validate a comprehensive risk management model that integrates both regulatory oversight and security auditing dimensions specific to blockchain-powered payment systems. A cross-sectional survey was conducted among 215 industry practitioners involved in blockchain payment platforms. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study tested hypothesized relationships among regulatory over- sight, smart contract auditing, perceived compliance and security risks, risk mit- igation intent, and platform adoption intention. The results demonstrate that regulatory oversight and smart contract auditing significantly increase perceived compliance and security risks. These heightened risk perceptions positively in- fluence intentions to mitigate risks, which in turn significantly drive platform adoption. The model explains 58% and 42% of the variance in risk mitigation intent and platform adoption intention, respectively, confirming its strong ex- planatory power. This research contributes a validated, unified risk manage- ment framework that guides policymakers, platform operators, and auditors in addressing intertwined compliance and security risks. The findings support the advancement of safer, more trustworthy blockchain payment systems, fostering broader adoption and aligning with evolving regulatory landscapes.

Framework for Implementing Green Supply Chain Practices in Indonesian Small and Medium Enterprises Aini, Qurotul; Hardini, Marviola; Hikam, Ihsan Nuril; Green, Thomas
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/23c5gv23

The urgent need to address climate change, environmental degradation, and resource depletion has driven the adoption of sustainable business practices globally. For Small and Medium Enterprises (SMEs), particularly in developing countries such as Indonesia, transitioning toward sustainability presents both challenges and opportunities. Green Supply Chain Management (GSCM) offers a comprehensive approach to integrating environmental considerations into every stage of the supply chain, from sourcing raw materials to end-of-life product management. This study develops a practical GSCM framework tailored for Indonesian SMEs, using a qualitative multiple-case study method across three sectors: food, handicrafts, and logistics. Data collection methods included semi-structured interviews, on-site observations, and document analysis, followed by thematic coding and cross-case synthesis. The resulting framework identifies five interrelated components: supplier collaboration, eco-friendly material selection, waste reduction strategies, energy efficiency optimization, and sustainability performance monitoring. The framework is validated through triangulation of data sources and feedback from SME stakeholders. By aligning with the United Nations Sustainable Development Goals (SDGs), particularly Goals 12 and 13, this study provides actionable insights for policymakers, SME owners, and practitioners seeking to enhance sustainability while maintaining operational efficiency.

SWOT Analysis of AI-Based Learning Recommendation Systems for Student Engagement Nuraeni, Rani; Hardini, Marviola; Parker, Jonathan; Ilham, Muhammad Ghifari
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.894

This study presents a SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) of AI-based learning recommendation systems for students. These innovative systems hold significant potential in supporting Sustainable Development Goal (SDG) 4 Quality Education by personalizing learning pathways, enhancing access to resources, and boosting student engagement. Their primary strengths include increased learning efficiency, adaptive content delivery, and instant feedback mechanisms. Nevertheless, weaknesses such as potential algorithmic bias, data privacy concerns, and over reliance on technology warrant careful consideration. Emerging opportunities encompass expanding educational access for underserved populations, facilitating lifelong learning, and integrating diverse educational platforms. However, threats like the digital divide and the need for robust ethical guidelines must be addressed to ensure equitable access. This analysis underscores the necessity of a balanced approach in developing and deploying these AI systems, maximizing their educational benefits while mitigating risks to achieve more inclusive and equitable quality education for all. Quantitatively, the synthesis of reviewed studies reveals that adaptive AI-based recommendation systems improve student engagement by up to 18% and content relevancy by approximately 22% compared to conventional systems. Moreover, the SWOT analysis indicates that the strength to threat ratio (S/T) exceeds 2.1, implying that institutional readiness and technological innovation significantly outweigh identified implementation risks. These findings confirm the robust potential of AI-LRS in higher education.

Co-Authors Aditya Mardiansyah Agarwal, Vertika Ali Djamhuri Amitkumar Dudhat Andriyansah . Ani Wulandari Anjani, Sheila Aulia Ankur Singh Apriliasari, Dwi Arko Djajadi Bist, Ankur Singh Candra, Ariya Panndhitthana Chandra Abianto Chen, Shih Chih Dedeh Supriyanti Desy Apriani Dewi Immaniar Dudhat, Amitkumar Dwi Julianingsih Farail, Maulana Faqih Faturahman, Adam Febriani, Widya Fitra Putri Oganda Fitriani, Anandha Green, Thomas Harahap, Eka Purnama Hikam, Ihsan Nuril Hiroshi Kenta Husni Teja Sukmana Ignatius Joko Dewanto, Ignatius Joko Ilham, Muhammad Ghifari Immaniar, Dewi Julianingsih, Dwi Juliastuti, Dyah Karts, Kawl W Leffia, Abigail Lena Magdalena Lestari Santoso, Nuke Puji Lic, Yung-Ming Lusyani Sunarya Mardiansyah, Aditya Maulana, Sabda Megha Upreti Mertayasa, I Komang Mey Anggraeni Mochamad Heru Riza Chakim Muhamad Yusup Muhammad Rehan Anwar Nanda Septiani Natalia, Elisa Ananda Ninda Lutfiani Novalita Savitri, Agnes Nuke Puji Lestari Santoso Nur Azizah NURAENI, RANI Nurasiah Nurasiah Nurhaeni, Tuti Pandey, Chitra Parker, Jonathan Po Abas Sunarya Pujiati, Tri Qurotul Aini Rafika, Ageng Setiani Rawat, Buphest Rissa Rahmania Santoso, Nuke Puji Lestari Septiani, Nanda Setiawaty, Elika Sihotang, Sondang Visiana Singh, Ankur Siti Nurindah Sari Sudaryono Sudaryono Sunarjo, Richard Andre Supriyanti, Dedeh Susilawati Syauqi Naufal, Romzi Tarisya Ramadhan Tuti Nurhaeni Untung Rahardja Upreti, Megha Vaher, Kristina Widjaya, Irene Apriani Widya Febriani Yao, Goh

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