Garuda - Garba Rujukan Digital

Information Security Risk Analysis Using ISO 31000:2018 and ISO 27001:2022 Athiyatul Ulya; Annisa Karima; T. Sukma Achriadi Sukiman; Anni Zulfia; Rafika Rahmawati
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6564

Information system risk audits are an important step in ensuring the security, effectiveness, and efficiency of the systems used by organizations. However, the fast advancement of information and communication technologies has made information?security threats more intricate, arising not only from internal sources like employee carelessness but also from external sources such as cyber?attacks, malware, and data?theft. This study aims to analyze information security risks at the Central Statistics Agency (BPS) of Lhokseumawe by referring to two international standards, namely ISO/IEC 27001:2022 and ISO 31000:2018. The research approach used is descriptive qualitative with a case study method. Data collection techniques were conducted through interviews, observations, and document studies. The results of the study indicate that there are still various security gaps, both technical and non-technical, such as weak system authentication, the absence of adequate security policies, and the lack of incident handling procedures. This study successfully compiled a risk register containing 30 types of risks along with their causes, impacts, likelihood levels, and relevant mitigation recommendations. Improvement recommendations include strengthening technical controls, updating information security policies, enhancing human resource capacity, and conducting regular internal audits. The results of this study are expected to serve as a reference for strengthening information security systems in a systematic and standardized manner within the BPS environment.

Analisis Perilaku Adopsi Livin Merchant Pada Pelaku UMKM di Surabaya Raya Menggunakan Model UTAUT2 Medica N Zakiah; Asif Faroqi; Rafika Rahmawati
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.451

The development of digital technology has encouraged the transformation of financial services in the micro, small, and medium enterprises (MSMEs) sector, one of which is through the use of the Livin’ Merchant by Mandiri application. However, the adoption process of digital services still faces several challenges, such as low technological literacy, risks associated with application usage, and low trust in system security and banking institutions. This study aims to analyze the factors influencing the adoption behavior of Livin’ Merchant among MSME actors in Greater Surabaya using the modified Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model with the addition of perceived security, perceived risk, institution trust, and technology trust variables. This study employed a quantitative approach through a survey of 521 MSME actors using Livin’ Merchant in Greater Surabaya. The data were analyzed using Partial Least Square-based Structural Equation Modeling (SEM-PLS) with the assistance of SmartPLS 4.0 software. The results indicate that performance expectancy, social influence, hedonic motivation, price value, perceived security, and institution trust have a positive and significant effect on behavioral intention. In addition, facilitating conditions have a positive and significant effect on use behavior, while perceived risk has a negative and significant effect on use behavior. This study concludes that application benefits, social support, system security, and trust in banking institutions are important factors in increasing the adoption of Livin’ Merchant among MSME actors in Greater Surabaya.

Mapping SPBE Challenges in Indonesia: Systematic Review by Architecture Domain Virdha Rahma Aulia; Iqbal Ramadhani Mukhlis; Rafika Rahmawati; Tri Luhur Indayanti Sugata; Prasasti Karunia Farista Ananto; Tri Puspa Rinjeni; Nambi Sembilu
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 1 (2025): Juni 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i1.368

Growing disparities in digital governance readiness across Indonesia highlight the urgency of strengthening the nation's Electronic-Based Government System (SPBE). This study conducts a systematic literature review of 34 recent studies to identify key factors that influence SPBE implementation across six architecture domains: Business (Organizational) Architecture, Data Architecture, Application Architecture, Infrastructure Architecture, Security Architecture, and Service Architecture. Drawing on the PRISMA methodology, the review uncovers recurring obstacles such as governance misalignment, fragmented system development, infrastructure limitations, inadequate data management, weak cybersecurity, and inconsistent service delivery. While these challenges inform the analysis, the proposed conceptual framework reframes each domain as a positive construct—suggesting that stronger performance in these areas contributes to greater SPBE implementation success. This framework provides policymakers with a structured lens to guide targeted digital transformation efforts. The study emphasizes the importance of policy coherence, inter-agency collaboration, human resource capacity, and integrated digital ecosystems, and invites future empirical research to validate and refine the framework through quantitative testing and in-depth case studies, particularly focusing on governance and people-centered factors.

Pengembangan Rencana Strategis Sistem Informasi Asrama Mahasiswa Nusantara Berbasis Framework Anita Cassidy Rafika Rahmawati; Diandra Diva Arini; Aisma Nurlaili; Berlian Viga Septiani; Athiyatul Ulya
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 1 (2025): Juni 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i1.393

Perkembangan IS/IT menuntut seluruh lembaga organisasi dan bisnis, termasuk lembaga pendidikan dan asrama mahasiswa, untuk memiliki sistem informasi yang strategis dan terintegrasi untuk menunjang kegiatan operasional dan pencapaian visi misi organisasi. Asrama Mahasiswa Nusantara (AMN) Surabaya menghadapi tantangan dalam pengelolaan sistem informasi yang belum terintegrasi dan strategis, sehingga menghambat efektivitas layanan operasional dan pencapaian visi organisasi. Untuk mengatasi masalah tersebut, perencanaan strategis sistem informasi dengan menggunakan framework Anita Cassidy yang berfokus pada penyelarasan sistem informasi dengan tujuan bisnis. Proses perencanaan strategis SI dengan Anita Cassidy meliputi tahapan visioning, analysis, direction, dan recommendation. Pengumpulan data dilakukan melalui wawancara dan analisis strategis melibatkan tools pendukung seperti SWOT, Value Chain, Porter's Five Forces, dan McFarlan Strategic Grid. Penelitian menghasilkan solusi strategis sistem informasi yang disusun dalam roadmap pengembangan 5 tahun dengan skala prioritas berdasarkan ketergantungan sistem, nilai bisnis, risiko, serta estimasi biaya dan waktu. Rencana strategis ini diharapkan menjadi pedoman pengembangan sistem informasi yang berkelanjutan dan sejalan dengan visi AMN Surabaya.

Analysing User Reviews with ETL using Pentaho Data Integration Tri Luhur Indayanti Sugata; Rafika Rahmawati; Tri Puspa Rinjeni; Virdha Rahma Aulia; Prasasti Karunia Farista Ananto; Iqbal Ramadhani Mukhlis
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.403

User reviews are a crucial element in guiding the continuous improvement of mobile applications for developers. This research aims to utilize Extract, Transform, Load (ETL) techniques using Pentaho Data Integration to analyze user reviews of government mobile applications which is ‘Sentuh Tanahku’, focusing on improving service quality through actionable data insights. The ETL process involves collecting and cleaning data from the Google Play Store to derive valuable insights that inform recommendations for app improvement. After data extraction, text preprocessing steps, such as cleansing, case folding, and keyword filtering, were applied to prepare the data for analysis. By categorizing user reviews into key aspects such as user interface, performance, bug fixes, security, compatibility and feature development this research enables the identification of most frequently discussed and complained about by users. The output of this research includes a structured dataset in Excel format. By demonstrating the effectiveness of ETL and text analysis in transforming unstructured user reviews into strategic insights, this research contributes to utilizing Pentaho Data Integration as an alternative and effective tool for processing and analyzing user reviews.

Cryptocurrency investment adoption: an analysis of Indodax application acceptance using UTAUT2 Anita Wulansari; Raffi Abdillah Putra Alisia; Rafika Rahmawati
BISMA (Bisnis dan Manajemen) Vol. 18 No. 2 (2026)
Publisher : Universitas Negeri Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/bisma.v18n2.p159-183

This study examines the determinants of cryptocurrency investment adoption through the Indodax application by extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Specifically, it investigates the mediating role of performance expectancy in linking effort expectancy and trust to behavioral intention. Data were collected from 417 Indodax users in Indonesia and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that performance expectancy significantly influences behavioral intention, while effort expectancy and trust do not have significant direct effects. However, both variables indirectly influence behavioral intention through performance expectancy. This indicates that users prioritize expected benefits over ease of use and trust when making investment decisions in high-risk environments. This study extends UTAUT2 by demonstrating that, in high-risk fintech contexts, adoption behavior follows an indirect and sequential cognitive evaluation process. It provides empirical evidence from the Indonesian cryptocurrency market and highlights the conditional applicability of UTAUT2 in emerging digital investment ecosystems.

Analysis of Factors Influencing the Acceptance of the Indodax Application Using the UTAUT 2 Model Raffi Abdillah Putra Alisia; Anita Wulansari; Rafika Rahmawati
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4425

This study investigates the key factors influencing user acceptance of the Indodax application, a leading cryptocurrency trading platform in Indonesia, by employing the UTAUT 2 (Unified Theory of Acceptance and Use of Technology 2) framework. The model focuses on four core variables—Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions—to assess their impact on users’ Behavioral Intention to adopt the platform. Data were collected from 417 respondents using an online questionnaire, and the relationships among variables were analyzed using SmartPLS 4.0 with the bootstrapping technique. The hypothesis testing results confirmed that all proposed hypotheses were supported, indicating that each of the identified factors significantly contributes to users' intentions to use the application. Among the variables, Performance Expectancy and Facilitating Conditions were found to have the strongest impact on users' Behavioral Intention. Nevertheless, Effort Expectancy and Social Influence also demonstrated significant positive effects. These outcomes emphasize the importance of improving user experience by enhancing system usability, leveraging social influence, and strengthening supporting infrastructure. Overall, the study offers valuable insights for developers, platform providers, and policymakers in developing strategies to encourage broader adoption of cryptocurrency platforms like Indodax and to support the growth of the digital asset ecosystem in Indonesia.

Enhancing Digital Literacy to Mitigate the Negative Impacts of the Internet among Orphanage Children Tri Luhur Indayanti Sugata; Tri Puspa Rinjeni; Siti Mukaromah; Virdha Rahma Aulia; Prasasti Karunia Farista Ananto; Rafika Rahmawati; Lano Putra Rajendra; Naufal Hilmy Ramadhani; Rendi Adi Saputra; Arya Daffa Junaidi
Jurnal Pengabdian Masyarakat Inovatif Vol. 4 No. 1 (2026): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

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

The rapid development of internet technology presents both opportunities and risks for children, particularly those in orphanage settings who face compounded vulnerabilities due to limited supervision and inadequate digital guidance. This community service activity aimed to improve digital literacy and internet safety awareness among children at Al Jabbar Orphanage, Surabaya. This activity involved 13 participants. The program was implemented through three sequential stages: planning, implementation, and evaluation. Data were collected using pre-test and post-test instruments around eight digital literacy indicators covering topics such as understanding internet functions, recognising negative impacts, personal data protection, cyberbullying awareness, account security and information verification. Among the eight indicators assessed, descriptive analysis revealed improvement in two indicators: risk mitigation skills when interacting with strangers online (84.62% to 92.31%) and information verification proficiency (92.31% to 100%). The remaining six indicators showed no measurable change, largely due to high baseline scores. The activity showed potential to improve participants' awareness and understanding of safe internet use, particularly regarding online stranger interactions and information verification. However, given the small sample size and the absence of inferential statistical analysis, stronger evaluation methods are needed to assess the long-term effectiveness of similar programs.

NIAT ADOPSI GENERATIVE AI PADA MAHASISWA MELALUI PERAN SIFAT INDIVIDU DALAM KERANGKA BEHAVIORAL REASONING THEORY Rayhan Nashrullah Viddyartha; Asif Faroqi; Rafika Rahmawati
Djtechno: Jurnal Teknologi Informasi Vol 7, No 2 (2026): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v7i2.9431

AbstrakPemanfaatan Generative AI (GenAI) dalam pendidikan tinggi semakin berkembang karena mampu mendukung aktivitas akademik mahasiswa. Namun, penggunaan teknologi ini juga menimbulkan persoalan terkait etika, ketergantungan, dan keakuratan informasi. Penelitian ini mengkaji bagaimana sifat individu membentuk alasan mendukung dan alasan menolak yang selanjutnya memengaruhi niat mahasiswa dalam mengadopsi GenAI. Penelitian kuantitatif ini menggunakan kerangka Behavioral Reasoning Theory. Data dikumpulkan melalui kuesioner daring kepada mahasiswa program sarjana di Kota Surabaya yang pernah menggunakan GenAI untuk aktivitas akademik. Sebanyak 425 respons dianalisis menggunakan pendekatan PLS-SEM melalui perangkat lunak SmartPLS. Hasil penelitian menunjukkan bahwa sifat individu berperan dalam membentuk alasan mendukung dan sikap positif terhadap GenAI. Alasan mendukung juga berpengaruh terhadap sikap serta memediasi hubungan antara kelincahan individu dan sikap mahasiswa terhadap GenAI. Selanjutnya, sikap positif mendorong niat adopsi GenAI. Sebaliknya, alasan menolak tidak berpengaruh terhadap sikap, dan kelompok referensi tidak memperkuat hubungan antara sikap dan niat adopsi. Temuan ini menunjukkan bahwa niat adopsi GenAI pada mahasiswa lebih banyak dibentuk oleh sikap positif dan alasan mendukung daripada alasan menolak maupun pengaruh sosial.Kata Kunci: Generative AI, Behavioral Reasoning Theory, niat adopsi, sifat individu, mahasiswaAbstractThe use of Generative AI (GenAI) in higher education continues to grow because of its ability to support students’ academic activities. However, its use also raises concerns regarding ethics, dependency, and information accuracy. This study examines how individual traits shape reasons for and against GenAI adoption, which subsequently influence students’ adoption intentions. This quantitative study applies the Behavioral Reasoning Theory framework. Data were collected through an online questionnaire administered to undergraduate students in Surabaya who had used GenAI for academic activities. A total of 425 responses were analyzed using PLS-SEM through SmartPLS. The results indicate that individual traits contribute to the formation of reasons for adoption and positive attitudes toward GenAI. Reasons for adoption also influence attitudes and mediate the relationship between individual agility and students’ attitudes toward GenAI. Furthermore, positive attitudes encourage students’ intentions to adopt GenAI. In contrast, reasons against adoption do not influence attitudes, and reference-group influence does not strengthen the relationship between attitudes and adoption intentions. These findings indicate that students’ intentions to adopt GenAI are shaped more strongly by positive attitudes and reasons for adoption than by reasons against adoption or social influence.Keywords: Generative AI, Behavioral Reasoning Theory, adoption intention, individual traits, undergraduate students

Enhancing Digital Literacy to Mitigate the Negative Impacts of the Internet among Orphanage Children Tri Luhur Indayanti Sugata; Tri Puspa Rinjeni; Siti Mukaromah; Virdha Rahma Aulia; Prasasti Karunia Farista Ananto; Rafika Rahmawati; Lano Putra Rajendra; Naufal Hilmy Ramadhani; Rendi Adi Saputra; Arya Daffa Junaidi
Jurnal Pengabdian Masyarakat Inovatif Vol. 4 No. 1 (2026): JPMI (Jurnal Pengabdian Masyarakat Inovatif)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pakuan

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

The rapid development of internet technology presents both opportunities and risks for children, particularly those in orphanage settings who face compounded vulnerabilities due to limited supervision and inadequate digital guidance. This community service activity aimed to improve digital literacy and internet safety awareness among children at Al Jabbar Orphanage, Surabaya. This activity involved 13 participants. The program was implemented through three sequential stages: planning, implementation, and evaluation. Data were collected using pre-test and post-test instruments around eight digital literacy indicators covering topics such as understanding internet functions, recognising negative impacts, personal data protection, cyberbullying awareness, account security and information verification. Among the eight indicators assessed, descriptive analysis revealed improvement in two indicators: risk mitigation skills when interacting with strangers online (84.62% to 92.31%) and information verification proficiency (92.31% to 100%). The remaining six indicators showed no measurable change, largely due to high baseline scores. The activity showed potential to improve participants' awareness and understanding of safe internet use, particularly regarding online stranger interactions and information verification. However, given the small sample size and the absence of inferential statistical analysis, stronger evaluation methods are needed to assess the long-term effectiveness of similar programs.

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