Claim Missing Document
Check
Articles

Found 5 Documents
Search

Cyber Security in Indonesian Higher Education Institutions: Lessons Learned from Recent Cyber Attacks Marpaung, Jonathan Nahum
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 1 (2025): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i1.876

Abstract

Cyber security is paramount to the sustainability of higher education institutions as more institutions move their information system to the cloud and allow stakeholders to access their information technology services from on-campus WIFI and mobile devices. This study aims to understand Indonesian higher education's current cyber security landscape by analyzing recent cyber-attacks that hit all sectors, notably higher education. Recent news articles and government reports related to cyber-security were analyzed using document analysis. This study found that data theft attacks were the number one cyber threat that higher education institutions faced, followed by attacks on institutional websites, social media pages, and personal mobile devices. This study found that the nature of recent cyber-attacks was consistent with the assessment posed by previous literature that stakeholders’ recent level of ability in cyber-security is not where it is supposed to be. The potential impact of future cyber-attacks on institutions and stakeholders is significant, underscoring the importance of this new understanding, which can help institutions prepare their stakeholders better to mitigate such threats.
Evaluation of user satisfaction in the public sector’s Lelang Indonesia application using sentiment analysis and text mining Hidayat, Nurul; Marpaung, Jonathan Nahum
Manajemen dan Bisnis Vol 24, No 2 (2025): September 2025
Publisher : Department of Management - Faculty of Business and Economics. Universitas Surabaya.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/mabis.v24i2.863

Abstract

This study used sentiment analysis and text mining on the user reviews of the Lelang Indonesia mobile application, specifically focusing on the ratings and reviews on the Google Play Store for the past six years. Sentiment analysis was performed by manually categorizing the data according to user review scores (positive or negative) and subsequently classified using the Support Vector Machine technique to assess accuracy levels. Various text mining approaches were employed to extract details regarding the issues or problems encountered by users. The study found that numerous Lelang Indonesia mobile application users encounter barriers that adversely influence their evaluation of public service quality, as seen by the attitude expressed in their reviews. The analysis of these reviews revealed several concerns, mainly regarding technical applications and service business procedures that require attention and follow-up from institutions. The study's findings can offer institutions a means to evaluate the quality of auction services delivered via mobile applications and serve as a basis for proactively enhancing these services to align with user expectations. This study enhances the understanding of mobile application-based public service satisfaction evaluation, enabling public institutions to evaluate these services in real-time by analyzing user sentiment from reviews.
The Influence of Digital Transformation on Risk-Taking in Commercial Banks in Indonesia Using Text Mining Mardhika, Bimo Anugrah Putra; Marpaung, Jonathan Nahum
Eduvest - Journal of Universal Studies Vol. 5 No. 9 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i9.51379

Abstract

This research examines the impact of digital transformation on banking risks, specifically focusing on credit risk (NPL), liquidity risk (LDR), and insolvency risk (Z-score). Employing a quantitative method, the study constructs a digital transformation index using text-mining techniques applied to annual reports of Indonesian commercial banks. The analysis utilizes Ordinary Least Squares (OLS), Fixed Effects (FE), and the System Generalized Method of Moments (SYS-GMM) on a dataset comprising 59 commercial banks in Indonesia from 2018 to 2024. The results reveal that digital transformation significantly raises credit risk. In contrast, its effects on liquidity and insolvency risks are statistically insignificant, suggesting potential improvements in credit evaluation through the use of enhanced data and technological tools. Additionally, the study demonstrates the utility of the SYS-GMM model in addressing endogeneity concerns in dynamic panel data. These findings can help regulators understand the strategic role of digital implementation and innovation in enhancing risk management and financial stability within the commercial banking sector.
AHP-Based Prioritisation of Cashless Payments in Indonesian SMEs: Evidence from Depok Sari, Putri Kartika; Marpaung, Jonathan Nahum
Hasanuddin Economics and Business Review VOLUME 9 NUMBER 2, 2025
Publisher : Faculty of Economics and Business, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26487/hebr.v9i2.6433

Abstract

Cashless payment platforms are increasingly central to the daily operations of Indonesian small and medium enterprises, yet recent Indonesian and regional evidence rarely quantifies the criteria trade-offs that managers confront when choosing among competing alternatives. This study addresses that gap by applying the Analytic Hierarchy Process to a healthy-food SME that accepts remote payments via GoPay, GrabPay, and ShopeePay and conducts in-store digital transactions through Electronic Data Capture and the Quick Response Code Indonesian Standard. Primary data were collected through structured pairwise-comparison interviews with owner-managers during March to April 2025 (n = 5), producing a criteria-level priority structure and ranked preferences that were verified for internal coherence. All final matrices met the AHP consistency requirement with Consistency Ratio values below 0.10, and a sensitivity analysis confirmed that the ordering of alternatives remained stable under plausible variations in criterion weights. The results show that cost and real-time transaction capability dominate the preference structure, while user-friendly features and promotion exert secondary influence. The findings offer actionable guidance for firms and providers through emphasis on effective fee design, reliable real-time settlement, interface simplification, and targeted promotions that strengthen adoption and customer experience.
Determinants of Payment Processing Inefficiencies: Qualitative Study of Accounts Payable Aging in Indonesia Lubis, Andi Tigor; Marpaung, Jonathan Nahum
Hasanuddin Economics and Business Review VOLUME 9 NUMBER 2, 2025
Publisher : Faculty of Economics and Business, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26487/hebr.v9i2.6578

Abstract

This study diagnoses the drivers of accounts payable delays in a multinational manufacturer in Indonesia using a single case design that integrates quantitative Pareto analysis with qualitative Fishbone investigation. We analyse forty-two supplier invoices aged beyond ninety days and conduct six interviews across finance, logistics, and procurement to prioritise causes and explain their mechanisms within legacy ERP conditions, bonded-warehouse logistics, and import-quota controls. Four categories, namely receipt data errors, items still being searched, missing items, and unposted receipts, account for approximately eighty-three per cent of delays and indicate concentrated leverage for improvement. Recommended interventions include competency building and workload balancing, the separation of workflows for goods and service invoices, automated three-way match validations, real-time SLA dashboards, and supply planning that reflects bonded-warehouse constraints. These actions are expected to cut average cycle time by twenty to thirty per cent and raise first-pass match rates to about eighty-five per cent. The study advances evidence-based operations governance for emerging-market manufacturing and informs procurement policy alignment with customs regulation. This manuscript fits the aim and scope of HEBR by translating rigorous analysis into policy-relevant and managerial implications that enhance sustainable business processes in the Asian context.