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All Journal Management Studies and Entrepreneurship Journal (MSEJ) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Equivalent: Jurnal Ilmiah Sosial Teknik
Sfenrianto Sfenrianto
Universitas Bina Nusantara
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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INFORMATION SYSTEM SECURITY EVALUATION USING COBIT 5 FRAMEWORK Lilis Griffith Toyner; Sfenrianto Sfenrianto
Journal of Information System Management (JOISM) Vol. 4 No. 2 (2023): Januari
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2023v4i2.992

Abstract

Most companies use information technology to develop their business. But there are things to note, some threats can occur and cause losses. Undesirable events hinder the achievement of company goals and strategies. PT XYZ believes that information security is important in all business activities. Threats that can compromise information security. Information is an important asset for PT XYZ. Therefore, it is necessary to evaluate or measure the controls and activities that have been implemented to protect company data/information. Evaluation in this paper uses the COBIT 5 Framework which focuses on Manage Security Services (DSS05). Keywords: Evaluation, COBIT 5, Manage Security Services, Capability Level
Sosial Media Marketing Strategi Analisis Dan Implementasi Untuk Meningkatkan Keterlibatan Pelanggan (Studi Kasus Pada PT. XYZ) Della Hernita Putri; Sfenrianto Sfenrianto
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 4 No. 5 (2023): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v4i5.1804

Abstract

Social media plays a significant part in marketing promotion techniques in the modern, digitalized corporate world. Because of its rapid growth, it is important to note social media's influence on marketing for both small and large businesses, using social media as a marketing tool necessitates the owner to develop customer connection with their follower(s) or member(s). Posting content to social media must have a clear concept and strategy to be successful, not only for promoting the business but also it can increase sales and dig up more information about their follower(s) by doing various kind of interactions and activities. This study attempted to investigate and explore the impact of Social Media Marketing Strategy Analysis and Implementation to increase Customer Engagement at PT.XYZ. This study uses a social media marketing strategy framework by Tuten & Solomon, and a qualitative method which data collection is done by interview and observation. The result showed that with maximizing the features and applying the concept social media marketing strategy, can increase the customer engagement and in the sales conversions as well.
Sentiment Analysis Comparison of Two E-Commerce Platforms Using Random Forest, Support Vector Machine, Logistic Regression, and IndoBERT Theresia Vania Davita Suyana; Sfenrianto Sfenrianto
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 2 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i2.324

Abstract

Background: The rapid growth of e-commerce in Indonesia has generated massive volumes of user-generated reviews. A critical mismatch exists between numerical star ratings and the actual sentiment expressed in review texts, creating unreliable signals for platform management and highlighting the need for text-based sentiment analysis. Objective: This study aims to analyze user review sentiments towards two leading e-commerce platforms in Indonesia using Machine Learning and Deep Learning approaches. Methods: The analysis process was conducted through the CRISP-DM stages, including data cleaning, labeling, model training, and performance evaluation. Two types of labeling were used, namely Rating-Based and VADER-Based, to compare the accuracy levels of sentiment classification. Four models were applied: Random Forest, Support Vector Machine (SVM), Logistic Regression, and IndoBERT. VADER labeling was adapted for Indonesian through preprocessing with an Indonesian-English translation layer. Results: Based on the evaluation results, the IndoBERT model showed the best performance on e-commerce X, with an accuracy of 0.96 using VADER-based labeling. Meanwhile, for e-commerce Y, Random Forest achieved an accuracy of 0.81 using VADER labeling. These results indicate that IndoBERT's Transformer architecture with contextual embeddings enabled superior understanding of Indonesian semantic nuances. Random Forest's advantage on e-commerce Y (627 samples per label) reflects a lower overfitting risk compared to deep learning models on small datasets. Conclusion: This study demonstrates the effectiveness of combining IndoBERT and VADER in Indonesian sentiment analysis and can serve as a reference for the e-commerce industry to improve service quality and customer satisfaction strategies.
Assessing CI/CD Pipeline Governance Maturity Using the ITIL v4 Framework: A Case Study of an Indonesian Digital Wallet Garvin Moses Tanuwihardjo; Sfenrianto Sfenrianto
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 4 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i4.410

Abstract

Background: Digital wallet services depend on frequent software delivery while operating under stringent requirements for availability, security, and accountability. In such environments, extensive CI/CD automation does not necessarily imply an equally mature governance framework. Objective: This study assesses the extent to which technical automation in a CI/CD pipeline is accompanied by mature governance practices in an Indonesian digital wallet organization using five ITIL 4 practice domains. Methods: A single-case mixed-methods design combined Likert-scale maturity scoring with semistructured interviews, direct observation, and document review. The assessment covered Change Enablement, Release Management, Deployment Management, Continual Improvement, and Information Security Management, with quantitative findings triangulated against operational evidence. Results: Change Enablement (3.4), Release Management (3.0), Deployment Management (3.4), and Information Security Management (3.2) were classified at the Defined maturity level, whereas Continual Improvement (2.6) remained at the Repeatable maturity level. Gap analysis against an ideal score of 4.5 identified the largest gap in Continual Improvement (1.9), followed by Release Management (1.5), Information Security Management (1.3), and Change Enablement and Deployment Management (1.1 each). Conclusion: The case demonstrates that substantial CI/CD automation can coexist with uneven governance maturity. Governance is comparatively standardized across change, release, deployment, and security practices, but continual improvement remains less institutionalized, indicating that technical capabilities have advanced faster than systematic organizational learning and performance improvement.
Comparative Technology Acceptance in B2C Automotive E-Commerce Platforms Using an Extended TAM Yulianti Masta Rotua Simatupang; Sfenrianto Sfenrianto
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 4 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i4.415

Abstract

Background: Indonesia's digital used-car market has expanded substantially, with used-car sales reaching 1.8 million units in 2024 and financing totaling IDR 117 trillion in 2025. Objective: This research compares technology acceptance across two B2C used-car platforms with different brand histories: OLX Mobbi, which inherits an established brand, and Caroline.id, introduced as a newer brand in 2022. The analysis extends the Technology Acceptance Model (TAM) by incorporating Information Quality (IQ), Trust, and Perceived Transaction Risk (PTR) as a moderating variable. Methods: A quantitative survey was conducted with 200 respondents selected through purposive sampling, with 100 users representing each platform. The model was evaluated using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4, followed by Henseler's bootstrap-based Multi-Group Analysis (MGA). Results: Information Quality and the Behavioral Intention-to-Actual Use path were significant for both platforms, whereas Perceived Usefulness and the PTR × PU moderation effect were not significant. Perceived Ease of Use and Trust predicted Behavioral Intention only for OLX Mobbi. MGA indicated no significant between-group differences for seven of the eight paths; the only significant difference was observed in the path from PTR to Behavioral Intention (p = 0.041), with coefficients in opposite directions (OLX Mobbi: β = 0.099; Caroline.id: β = −0.108). Conclusion: Overall, the two platforms exhibit broadly comparable technology acceptance structures. Information Quality is consistently important, whereas Perceived Ease of Use and Trust play a stronger role for OLX Mobbi. Nevertheless, the between-group findings should be interpreted cautiously because of limitations related to measurement invariance and discriminant validity.
Co-Authors Della Hernita Putri Garvin Moses Tanuwihardjo Lilis Griffith Toyner Theresia Vania Davita Suyana Yulianti Masta Rotua Simatupang