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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Systems Engineering and Business Intelligence Jurnal Kajian Informasi & Perpustakaan Policy & Governance Review Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Journal of Government and Civil Society Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi Jurnal Teknoinfo Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika Ekonomi Bisnis Jurnal Teknik Informatika (JUTIF) Abditeknika - Jurnal Pengabdian Kepada Masyarakat Asian Management and Business Review ETNIK : Jurnal Ekonomi dan Teknik Jurnal Informatika Ekonomi Bisnis International Journal of Multidisciplinary Research of Higher Education (IJMURHICA) The Indonesian Journal of Computer Science Scientific Journal of Informatics
Lusa, Sofian
Fakultas Teknologi Informasi, Ilmu Komputer, Universitas Budi Luhur
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Analysis of Factors that Influence the Acceptance of Using Online Retail Applications: A Case Study of XYZ Wholesale and Retail Stores Inayah, Suci -; Sensuse, Dana Indra; Lusa, Sofian
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 1 (2024): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i1.2051

Abstract

E-commerce users in Indonesia continue to increase along with advances in digitalization. This causes a trend to occur where many offline shop entrepreneurs are responding to changes in consumer behavior by creating online shopping applications to maintain the existence of their business to be consistent with time progress. The purpose of this research is to find out what factors affect user acceptance of online retail applications used for online shopping at XYZ stores using the UTAUT2 acceptance model. In line with changes, case studies were conducted on grocery stores and retail stores that carried out digital innovation by creating online retail applications for their consumers. The research was conducted using a mixed method, data was collected through interviews with sources and using a questionnaire spread to 149 research sample consumers. The data processing technique uses PLS-SEM with SmartPLS tools. The research results show that 4 factors influence the use of online retail applications, including hedonic motivation, habit, behavioral intention, and application use. The results of this research can be used as material for management considerations to increase the excellence of the application so that user interest in online shopping using the application at XYZ store increases
Investigating E-Government Adoption: The Intention to Use MyASN Application by Indonesian National Civil Service Agency (NCSA) Aditya, Silfa Kurnia; Alfiani, Husna; Sensuse, Dana Indra; Lusa, Sofian; Putro, Prasetyo Adi Wibowo; Indriasari, Sofianti
Journal of Government and Civil Society Vol 8, No 1 (2024): Journal of Government and Civil Society (April)
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jgcs.v8i1.10890

Abstract

This study investigates the implementation of e-government initiatives in Indonesia, specifically focusing on the MyASN application designed for civil servants. Despite the introduction of MyASN, challenges persist in terms of user acceptance, and its complete utilization among civil servants throughout Indonesia is yet to be achieved. The primary goal of this research is to comprehensively identify the factors influencing the adoption of MyASN among civil servants using Unified Theory of Acceptance and Use of The Technology (UTAUT) conceptual model. The target population is respondents who use the MyASN application. The target population is respondents who use the MyASN application. This research obtained a total of 182 respondents who filled out the questionnaire via Google Forms, which were then analyzed using the Structural Equation Model (SEM) approach with SmartPLS software. The findings highlight that behavioral intention, performance expectation, and social influence are factors influencing users' intention to use the My-ASN application. On the other hand, effort expectancy and facilitating condition don’t affect users' intention and behavior in adopting MyASN. Furthermore, concerning moderating variables, only working experience and voluntariness of use influence user behavior, although their impacts are not very significant. Penelitian ini mengkaji terkait implementasi e-government di Indonesia, khususnya berfokus pada aplikasi MyASN yang dirancang untuk Aparatur Sipil Negara (ASN). Meskipun aplikasi MyASN ini telah disosialisasikan, namun pada implementasinya masih terdapat tantangan dalam penerimaan penggunanya dan pemanfaatannya yang belum maksimal di kalangan ASN di seluruh Indonesia. Tujuan utama dari penelitian ini adalah mengidentifikasi faktor apa saja yang mempengaruhi niat pengguna untuk menggunakan aplikasi MyASN menggunakan metode UTAUT (Unified Theory of Acceptance and Use of The Technology). Target populasi adalah responden yang menggunakan aplikasi MyASN. Penelitian ini memperoleh sebanyak 182 responden yang mengisi kuisioner melalui Google Forms, kemudian dilakukan analisis menggunakan pendekatan SEM (Structural Equation Model) dengan perangkat lunak SmartPLS. Temuan penelitian ini menjelaskan bahwa behavioral intention, performance expectation, dan social influence merupakan faktor yang mempengaruhi niat pengguna dalam menggunakan aplikasi My-ASN. Disisi lain, effort expectancy dan facilitating condition tidak mempengaruhi niat dan perilaku pengguna dalam mengadopsi MyASN. Selain itu, pada moderating varible, hanya working experience dan voluntariness of use yang mempengaruhi perilaku pengguna, meskipun dampaknya tidak terlalu signifikan.
Knowledge Discovery System and Their Challenges in Property Company: A Systematic Literature Review Erisa Rizkyani; Dea Valentina; Jonathan Sofian Lusa; Nadya Safitri
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 9 No. 1 (2026): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v9i1.55838

Abstract

In the era of digital transformation and data-driven decision-making, property companies are increasingly challenged by the complexity of managing vast, diverse, and unstructured data. Knowledge Discovery Systems (KDS) have emerged as vital tools for extracting valuable insights to support strategic functions such as property valuation, market analysis, and urban planning. This paper aims to investigate the trends and challenges in implementing KDS in property companies through a Systematic Literature Review (SLR) using the PRISMA framework. A total of 23 relevant publications from 2020 to 2025 were reviewed. The study finds that KDS applications span from real estate price prediction using machine learning to knowledge representation using semantic models. However, the implementation of KDS still faces significant barriers such as limited interdisciplinary collaboration, poor data quality, domain-specific constraints, and resistance to technological adoption. The results of this review contribute to a better understanding of how KDS can be effectively utilized in the property sector. It also highlights the need for future research to improve system adaptability, model explainability, and integration with domain knowledge to foster more intelligent, data-driven organizations
Factors Influencing the Adoption of Multi Factor Authentication in the Public Sector: A Case Study of Indonesia National Single Window Agency Purnomo, Dencaswo; Ghaisani, Amanda; Sensuse, Dana Indra; Lusa, Sofian; Ramlan, Nurcholis; Indrawati, Nur
The Indonesian Journal of Computer Science Vol. 15 No. 2 (2026): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v15i2.5091

Abstract

This study aims to examine the factors that influence the intention and actual use of Multi-Factor Authentication (MFA) in the National Single Window Agency (LNSW). The research model integrates the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) with the addition of the Perceived Security (PS) construct. Data were collected from employees and vendor teams at the LNSW and analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The results show that Perceived Ease of Use (PEOU) and Social Influence (SI) have a positive and significant effect on Behavioral Intention (BI). In addition, Perceived Security (PS) does not have a direct effect on Behavioral Intention, but it has a significant positive effect on Perceived Usefulness (PU). Other findings show that Behavioral Intention (BI) is a strong predictor of Actual Usage (AU) of MFA. These results confirm the relevance of the TAM and UTAUT models in explaining the adoption of security technology in the public sector, and emphasize the importance of ease of use and organizational influence in encouraging the adoption of MFA
User Acceptance Research on The Legal Documentation and Information Network Platform in Majalengka Government Hudoarma, Fathurahman Ma'ruf; Sensuse, Dana Indra; Lusa, Sofian; Putro, Prasetyo Adi Wibowo
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3279

Abstract

The evaluation of JDIH platform's user acceptance in accessing legal documentation and information has not been conducted, resulting in an average visitation rate of only 15%. The objective of this study is to identify the factors that influence user acceptance of the JDIH platform and provide recommendations for enhancing visitor traffic to the JDIH platform. This study was conducted using a mixed methods approach, incorporating the Technology Acceptance Model as its foundational theory and integrating the Innovation Diffusion Theory, DeLone & McLean IS Success Model, and Habit variables as its external constructs. The quantitative data processing method was conducted using the PLS-SEM method with the assistance of the SmartPLS application. The findings of this study reveal that the factors of relative advantage, habit, perceived benefits of use, and intention to use significantly influence user acceptance in utilizing the JDIH platform.
Assessing Service Quality in Passport Application Mobile Apps(M-Paspor) and its Influence on User Satisfaction: A Case Study using e-GovQual Yaziji, Warda; Aprilia, Relaci; Sensuse, Dana Indra; Lusa, Sofian; Wibowo, Prasetyo Adi
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3545

Abstract

Technological advances in this era can support public services to serve the public more quickly and responsively. One of the electronic public services used by citizens in Indonesia is the application for a passport. After launching to the public in early 2022, the mobile app M-Paspor is still experiencing some obstacles. This study aims to get recommendations for government consideration based on public experience as users of the M-Paspor application. This study integrates the e-Govqual model initiated by Papadomichelaki & Mentzas and End User Computing Satisfaction by Doll & Tork Zadeh. Six dimensions are used: ease of use, trust, functionality of the interaction environment, reliability, content and appearance of information, and citizen support. With the questionnaire distributed through social media, we analyzed data from 111 respondents. We conducted an analysis using SmartPLS to validate the survey. The result implied that Citizen Support, Functionality of the Interaction Environment, and Reliability significantly influence End User Computing Satisfaction of M-Paspor users
Strengthening Security Awareness in the Era of Artificial Intelligence-Based Cyber Threats Patria, Nusandika; Amir, Sopian; Sensuse, Dana Indra; Lusa, Sofian; Indrawati, Nur; Ramlan, Nurcholis
International Journal of Multidisciplinary Research of Higher Education Vol 9 No 2 (2026): (April) Theme Education, Religion Studies, Social Sciences, STEM and Economic Dev
Publisher : Islamic Studies and Development Center in Collaboration With Students' Research Center Universitas Negeri Padang

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

Abstract

Artificial intelligence (AI) is developing rapidly and is increasingly being applied in various fields, including cybersecurity. However, this development also introduces new, more sophisticated threats that are difficult to detect. AI-based cyber threats, including adaptive malware, highly personalized phishing, deepfakes for identity manipulation, adaptive distributed denial of service (DDoS) attacks, and automated ransomware, are projected to escalate by 2025. These threats' complexity requires a security approach that relies not only on technology but also on human awareness as the first line of defense. In Indonesia, the 2024 Cybersecurity Landscape Report, published by the National Cyber and Crypto Agency (BSSN), shows that public and institutional awareness of information security is still relatively low. This study presents a systematic literature review of 30 articles to examine how security awareness is being strengthened in the context of AI-based cyber threats. The review identified six main categories of AI enabled threats social engineering and phishing, content manipulation and impersonation, malware and ransomware, attacks against machine learning models, service disruption, and automated AI-orchestrated attacks. In parallel, seven categories of awareness strategies were synthesized: education and training programs, gamification and simulation-based learning, policy and governance support, technical and system-level controls, collaboration and multi-stakeholder engagement, legal and ethical frameworks, and psychological or human-centric approaches. The findings highlight that strengthening security awareness requires an integrated and multidimensional approach that bridges technological, organizational, regulatory, and human-centered efforts.
Systematic Literature Review (SLR) Model LRFM dan Pengelompokan K-Means untuk Strategi Retensi Pelanggan B2B Apriyana, Yeni; Trimanadi, Raden; Sensuse, Dana Indra; Lusa, Sofian
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 2: April 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.132

Abstract

Dalam era persaingan pasar yang semakin ketat, strategi retensi pelanggan berbasis data menjadi krusial, khususnya dalam konteks Business-to-Business (B2B) yang masih relatif terbatas dibahas dalam literatur. Penelitian ini merupakan Systematic Literature Review (SLR) yang bertujuan untuk memetakan dan mensintesis penelitian terkait penerapan model LRFM (Length, Recency, Frequency, Monetary) dan algoritma K-Means dalam strategi retensi pelanggan. Model metodologi SLR mengikuti protokol Kitchenham et al. (2009) melalui tahapan perumusan pertanyaan penelitian, pencarian literatur, seleksi studi, dan sintesis hasil. Hasil kajian menunjukkan bahwa sebagian besar penelitian LRFM dan K-Means masih berfokus pada konteks B2C, sementara penerapannya dalam lingkungan B2B relatif terbatas dan belum terkonseptualisasi secara memadai. Berdasarkan kesenjangan tersebut, artikel ini mengusulkan kerangka konseptual LRFM-B2B sebagai agenda penelitian masa depan dengan mempertimbangkan karakteristik spesifik B2B, tanpa dilakukan pengujian atau analisis empiris. Penelitian ini berkontribusi pada pemetaan literatur, identifikasi kesenjangan riset, serta perumusan arah pengembangan analitik pelanggan dalam konteks B2B.   Abstract In an era of increasingly intense market competition, data-driven customer retention strategies have become crucial, particularly in the Business-to-Business (B2B) context, which remains underexplored in the existing literature. This study presents a Systematic Literature Review (SLR) that aims to map and synthesize prior research on the application of the LRFM (Length, Recency, Frequency, Monetary) model and K-Means clustering for customer retention strategies. The review follows the Kitchenham et al. (2009) protocol, including research question formulation, literature search, study selection, and result synthesis. The findings indicate that most existing studies focus on B2C contexts, while B2B applications remain limited and conceptually underdeveloped. Based on the identified research gaps, this article proposes a conceptual LRFM-B2B framework as a future research agenda by incorporating B2B-specific characteristics such as contractual value and relationship depth. PT. XYZ is included solely as an illustrative case to contextualize general B2B challenges, without conducting any empirical testing or data analysis. This study contributes by providing a structured literature mapping, identifying critical research gaps, and outlining directions for future B2B customer analytics research.
Analysis of Public Sentiment Indonesia’s Personal Data Protection Law: A Comparison of SVM and IndoBERT on X Platform Kurniawati, Yulia; Hamid, Ricky Bahari; Sensuse, Dana Indra; Lusa, Sofian; Putro, Prasetyo Adi Wibowo; Indriasari, Sofiyanti
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5415

Abstract

The high number of data misuses, thefts, and leaks led to the enactment of the PDP Law, which regulates the rights and obligations of data owners and electronic system providers. The purpose of this study is to examine the public’s response to the implementation of the law through the X platform, using tweet harvest as a scraping tool, and to evaluate model performance through a comparative approach between SVM and BERT. The feature extraction used in this study is TF-IDF for SVM and BERT with IndoBERT. The accuracy results indicate that BERT is better with an accuracy of 86% compared to SVM with a training and test data ratio of 85:15. This advantage is because BERT can understand linguistic context that SVM cannot. On the other hand, SVM has advantages in computational efficiency and faster processing, making it a suitable choice in situations with limited computational resources. The sentiment analysis result revealed that data protection,  digital footprint and the institution's role were the most frequently discussed topics. Furthermore, periodic or real-time evaluations can be conducted on the public's response to the PDP Law to ensure it remains aligned and relevant to technological developments and societal needs.
Co-Authors Abdullah, Puja Putri Aditya, Silfa Kurnia Alfiani, Husna Altino, Iqbal Caraka Amir, Sopian Anditama, Muhammad Rizky Andriansyah, Chandra Ansis, Ronny Aprilia, Relaci Apriyana, Yeni Ariani, Septi Assaf Arief, Assaf Azhari Rangkuti, Herry Brillianto, Bramanti Cahyaningsih, Elin Dana Indra Sensuse Dea Valentina Devit Setiono Elisabeth, Damayanti Erisa Rizkyani Farhan Fitriya, Ghina Ghaisani, Amanda Hadjar, Siti Hamid, Ricky Bahari Handoko, Lutvianto Pebri Hudoarma, Fathurahman Ma'ruf Husain Husain Inayah, Suci - Indra Sensuse, Dana Indra, Muhammad Nadhirsyah Indriasari , Sofiyanti Indriasari, Sofianti Jallow , Fatoumatta Binta Khusnu Perdani, Mizana Kunto D.A , Himawan Kurnia Aditya, Silfa Masbudi, Handika Mutia Mayanda , Alia Nadya Safitri Nadya Safitri, Nadya Nur Chasanah Nur Chasanah Nur Indrawati, Nur Nurcholis Ramlan Nuswantara, Prasetya Gilang Patria, Nusandika Pradipta, Dhea Junestya Prasetyo Adi Prasetyo Adi Wibowo, Prasetyo Adi Prastowo, Rahardito Dio Pratiwi, Maharani Eka Prima, Pudy Purnomo, Dencaswo Putro , Prasetyo Adi Wibowo Putro, Prasetyo Adi Wibowo Ramadhan, Yudistira Richi R. Siregar, Jani Ridwan Afandi Rina Rahmawati, Rina Riri Satria Rizky, Fajar Ruliputra, Ricky Nauvaldy Samidi Samidi, Samidi Saputro, Singgih Dwi Sensuse, Dana I. Sihombing , Boy Sandi Kritian Sofiyanti Indriasari Sudarto, Reska Nugroho Tereuri, Shabrina Trimanadi, Raden Vinc, Richard Wibowo Putro, Prasetyo Adi Wibowo, Wahyu Setyawan Yaziji, Warda Yulia Kurniawati