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All Journal ComEngApp : Computer Engineering and Applications Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JIK Jurnal Ilmu Komputer Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmu Komputer dan Agri-Informatika INFOKAM Jurnal Teknologi Informasi dan Ilmu Komputer JUSIFO : Jurnal Sistem Informasi Jurnas Nasional Teknologi dan Sistem Informasi Journal of Information Systems Engineering and Business Intelligence Jurnal Kajian Informasi & Perpustakaan Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Proceeding of the Electrical Engineering Computer Science and Informatics Policy & Governance Review JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Paradigma Jurnal Ilmiah FIFO Journal of Government and Civil Society Emerging Science Journal Jurnal Pilar Nusa Mandiri Jurnal Sains Dan Teknologi (SAINTEKBU) Faktor Exacta Jurnal Teknik Informatika STMIK Antar Bangsa JITK (Jurnal Ilmu Pengetahuan dan Komputer) Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Applied Information System and Management Jurnal Teknoinfo Jurnal Sisfokom (Sistem Informasi dan Komputer) RESEARCH : Computer, Information System & Technology Management Voice Of Informatics MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Kilat Jambura Journal of Informatics Jurnal Informatika Global Jurnal Teknologi Terpadu Jurnal ICT : Information Communication & Technology MULTINETICS Jurnal Mantik Journal of Information Systems and Informatics Syntax Idea Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika Ekonomi Bisnis Journal of Applied Engineering and Technological Science (JAETS) Unistek: Jurnal Pendidikan dan Aplikasi Industri Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advances in Data and Information Systems Infotek : Jurnal Informatika dan Teknologi Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) Jurnal Restikom : Riset Teknik Informatika dan Komputer Journal of Applied Data Sciences INSERT: Information System and Emerging Technology Journal Business Review and Case Studies Journal La Multiapp International Journal of Social Service and Research Asian Management and Business Review Jurnal Impresi Indonesia Journal of Informatics and Communication Technology (JICT) Journal of Social Research Journal of Comprehensive Science Makara Journal of Technology Inkubis: Jurnal Ekonomi dan Bisnis Jurnal Indonesia Sosial Teknologi Jurnal Indonesia Sosial Sains Proceeding of International Conference Health, Science And Technology (ICOHETECH) Journal of Business, Social and Technology Eduvest - Journal of Universal Studies Telematika MKOM Ranah Research : Journal of Multidisciplinary Research and Development Information Technology Education Journal Jurnal Informatika Ekonomi Bisnis Jurnal Sistem Informasi International Journal of Multidisciplinary Research of Higher Education (IJMURHICA) PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) The Indonesian Journal of Computer Science Journal of Informatics and Communication Technology (JICT) Scientific Journal of Informatics Jurnal Ragam Pengabdian Computer Journal Journal Digital Technology Trend JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Dana Indra Sensuse
Universitas Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Other

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Pemetaan Topik dan Sentimen Pengguna Aplikasi JAKI untuk Mendukung Knowledge Discovery dalam Peningkatan Layanan Publik Mahmud Ali Asykar; Muhammad Saddam; Dana Indra Sensuse; Sofian Lusa; Nadya Safitri; Damayanti Elisabeth
Jurnal Nasional Teknologi dan Sistem Informasi Vol 12 No 1 (2026): April 2026
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v12i1.2026.18-25

Abstract

Dalam era tata kelola digital, aplikasi mobile seperti JAKI (Jakarta Kini) memainkan peran penting dalam menyediakan layanan publik terintegrasi bagi masyarakat. Di sisi lain, Google Playstore menyimpan banyak ulasan pengguna yang mencerminkan pengalaman, preferensi, dan keluhan pengguna. Oleh karena itu, penelitian ini bertujuan untuk menganalisis umpan balik dari Google Playstore yang bertujuan untuk mengungkap tren sentimen dan topik pembahasan utama yang berkaitan dengan aplikasi JAKI. Dataset yang digunakan terdiri dari 3.895 ulasan pengguna yang telah melalui proses pembersihan data, kemudian diolah menggunakan kombinasi analisis sentimen dengan InSet Lexicon dan pemodelan topik menggunakan Latent Dirichlet Allocation (LDA). Hasil klasifikasi sentimen selanjutnya dievaluasi menggunakan algoritma Naive Bayes, dengan tingkat akurasi keseluruhan sebesar 65%. Hasil survei validasi pengguna menunjukkan bahwa sebagian besar topik yang dihasilkan sesuai dengan pengalaman nyata pengguna. Selain itu, rekomendasi perbaikan dirumuskan berdasarkan topik dengan sentimen netral dan negatif. Temuan ini berkontribusi pada pemahaman yang lebih baik mengenai persepsi pengguna, serta memberikan wawasan yang dapat ditindaklanjuti untuk mendukung pengembangan berkelanjutan layanan publik digital yang berorientasi pada warga Jakarta.
Multi-Criteria Hypervisor Selection Using Analytic Hierarchy Process with Ex-Post Evaluation Ronaldo Agung Nugroho; Dana Indra Sensuse; Sofian Lusa
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 2 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v15i2.6062

Abstract

reassessment of virtualization platform selection in banking Information Technology environments. The objective of this study is to develop a structured, scalable decision-making model to determine the most appropriate hypervisor platform based on technical and non-technical criteria. The research method used is the Analytic Hierarchy Process, developed from qualitative coding of expert interview results and validated through pairwise comparisons by internal infrastructure specialists. The analysis includes consistency measurements, sensitivity analyses, and an ex-post evaluation by comparing analytical ranking results with actual organizational decisions. The results show that technical criteria dominate the decision process, accounting for 64.10% of the total decision weight. At the alternative level, the final priority weights are 45.40–45.44% for Alternative 1, 38.00% for Alternative 2, and 16.55–16.60% for Alternative 3, with Alternative 1 identified as the most optimal choice. Notably, the proposed model achieves a 100% alignment between the analytical ranking and the actual organizational decision, representing a substantial improvement over prior studies, which were largely confined to ex-ante evaluations and lacked empirical validation of decision outcomes. The conclusion of this study confirms that integrating ex-post evaluation into a multi-criteria decision analysis approach enhances the validity of the results and demonstrates a strong fit between the analytical model and real-world decision-making in the context of banking information technology infrastructure.
A Socio-Technical Model of Knowledge Sharing and Discovery in Social Fitness Apps among Indonesian Users: A PLS-SEM Approach Tijani Putri Shabrina; Abdurrohhim Syahruromadhon; Dana Indra Sensuse; Sofian Lusa; Novi Sofia Fitriasari; Icha Mailinda
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 3 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i3.2094

Abstract

Social fitness applications such as Strava, Nike Run Club, and Garmin Connect have turned exercise tracking into a community-based activity where users exchange tips, experiences, and performance data. However, little is known about what drives users to share and discover knowledge on these platforms. This study proposes and tests a socio-technical model that explains knowledge sharing and discovery behaviour in social fitness apps. The model integrates Social Capital Theory, the Technology Acceptance Model, and the Theory of Planned Behavior. Data was collected from 57 active users of social fitness applications and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that perceived usefulness, structural social capital, and perceived behavioural control significantly influence users’ intentions, while attitude and cognitive social capital do not play a major role. Intention, in turn, strongly predicts actual knowledge sharing and discovery behaviour. These findings suggest that knowledge-related actions in social fitness communities are driven mainly by functional benefits, connectedness within the community, and users’ sense of capability, rather than by evaluative attitudes alone. The study offers a clearer view of how socio-technical factors work together in digital fitness ecosystems and provides a basis for future research on knowledge behaviour in online communities
Trends, Frameworks, and Reference Models in Public Sector Enterprise Architecture: A Systematic Review Amanda Ghaisani; Dencaswo Purnomo; Dana Indra Sensuse; Sofian Lusa; Nurcholis Ramlan
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i4.2105

Abstract

Global Trends and Reference Models in Public Sector Enterprise Architecture: A Systematic Review” examines enterprise architecture implementation in the public sector across countries. Enterprise architecture is increasingly used as a strategic instrument to support digital transformation and interoperability, yet existing studies remain fragmented and lack cross-country synthesis. This study aims to identify global trends, reference models, best practices, and challenges in public sector enterprise architecture implementation. The method used is a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol, analyzing 23 peer-reviewed studies published between 2020 and 2025. The results show that The Open Group Architecture Framework (TOGAF) is the most frequently adopted framework and often becomes the basis for localized national models. This study identifies 15 reference models classified into national-level, domain-specific, regional government, and organizational agile models. Successful implementation is influenced by government commitment, inter-agency collaboration, and alignment with digital transformation strategies. The study concludes that enterprise architecture plays both strategic and technical roles in strengthening public governance. For public sector policymakers, the findings indicate that EA initiatives should be supported by clear governance mandates, cross-agency coordination mechanisms, and contextual adaptation of global frameworks to national priorities and institutional capacity.
AI-Driven Knowledge Sharing in the Banking Sector: Challenges and Approaches Nerissa Arviana; Afina Putri Dayanti; Dana Indra Sensuse; Sofian Lusa; Icha Mailinda; Novi Sofia Fitriasari
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i4.2121

Abstract

Digitalization is becoming increasingly relevant for banking, hence the necessity for a practical Knowledge Management (KM) system that can facilitate rapid innovation and ensure proper regulatory compliance. While there is growing recognition of KM as a strategic driver of performance, it is implemented in a fragmented way within financial institutions and limited by technology, organizational and governance barriers. This paper presents a Systematic Literature Review (SLR) following the PRISMA 2020 protocol, aiming to identify, evaluate and synthesize the academic literature published between 2020 and 2025 on the integration of AI and KM in the banking context. Forty primary studies were examined via narrative synthesis to address two research inquiries: the challenges of AI-driven knowledge sharing (RQ1) and AI-based methodologies and best practices that enhance knowledge management processes (RQ2). The findings identify three main challenge domains data and technology infrastructure, organizational and human factors, and governance, security, and ethics constraints and six main solution categories, including NLP, machine learning, knowledge graphs, expert systems, human-AI hybrid collaboration, and ethical AI governance frameworks. These findings lead to the idea that the use of AI improves the accessibility of knowledge, learning and creativity and its efficiency depends on the capacity of the appropriate KM, absorptive capacity and maturity of governance. The study offers a cohesive framework linking AI innovation to organizational knowledge performance within the finance sector.
Analysis of Factors Influencing Knowledge Sharing with the Moderating Effect of Perceived Organizational Support Among Civil Servants in Indonesia: Case Study of BPS-Statistics Indonesia Muhammad Rizki; Dana Indra Sensuse; Sofian Lusa; Nadya Safitri; Damayanti Elisabeth
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i4.2163

Abstract

As an essential component of knowledge management within organizations, knowledge sharing helps to improve teamwork, especially in government institutions that involve civil servants. This research aims to determine the factors that influence Knowledge Sharing Behavior (KSB), performing consideration of Knowledge Sharing Intention (KSI) as an endogenous driver, Perceived Organizational Support (POS) as a moderating variable, and self-efficacy, subjective norm, horizontal trust, vertical trust, IT adoption, and public service motivation as exogenous variables. Based on a survey of 327 respondents at the BPS-Statistics of Indonesia, the results reveal that Self-efficacy, Subjective Norms, and IT Adoption concurrently have a positive direct impact on both Knowledge Sharing Intention and Knowledge Sharing Behavior. Furthermore, Public Service Motivation and Knowledge Sharing Intention also exhibit a positive direct effect on the target variable. Nevertheless, neither horizontal nor vertical trust has an impact on the way people share knowledge. Meanwhile, regarding the moderating effects, perceived organizational support possesses the power to specifically strengthen the relationship between Self-efficacy and Knowledge Sharing Intention, whereas its interaction effects on other behavioral pathways are found to be non-significant.
Design of an Artificial Intelligence Based Knowledge Sharing System to Support Electronic Procurement Services Mahsa Elvina Rahmawyanet; Dana Indra Sensuse; Sofian Lusa
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i4.2172

Abstract

Digital transformation of government procurement involves consistent user support for the Electronic Procurement System. However, knowledge about system utilization remains fragmented across multiple platforms, is not reviewed periodically, and is not managed through a structured knowledge sharing mechanism. This study aims to design and evaluate a knowledge sharing system based on artificial intelligence for electronic procurement support services. The study uses an exploratory mixed method design by integrating Soft Systems Methodology into Design Science Research. Data were collected through interviews, document analysis, questionnaires, and prototype testing. The prototype includes a virtual assistant based on retrieval augmented generation, a centralized knowledge base, source attribution, feedback fitur, question logs, a monitoring dashboard, and knowledge governance functions. Evaluation using twenty answerable questions produced faithfulness of 1.000, answer relevancy of 0.819, context precision of 1.000, and context recall of 0.934. Blackbox testing confirmed that the main functional requirements operated as designed. The System Usability Scale score from 43 respondents was 79.24, indicating good usability, while 102 respondents rated all knowledge management process dimensions in the high category. The results show that integrating organizational problem structuring, knowledge governance, and retrieval augmented generation can provide a credible foundation for improving knowledge access and user support in digital public procurement.
Developing IT Strategic Plan for Mangrove Conservation Using TOGAF ADM: A Case Study of the M4CR Loan Project Putu Raditya Astika Putra; Dana Indra Sensuse; Raden Trimanadi
INSERT : Information System and Emerging Technology Journal Vol. 7 No. 1 (2026)
Publisher : Information System Study Program, Faculty of Engineering and Vocational, Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/insert.v7i1.115211

Abstract

The Mangrove for Coastal Resilience (M4CR) Loan Project is a national initiative supported by a USD 400 million World Bank loan targeting the rehabilitation of 600,000 hectares of degraded mangroves in Indonesia. Loan disbursement is governed by Performance-Based Conditions (PBC), demanding a reliable, integrated ICT system. However, the project suffers from fragmented ICT development, absence of a strategic plan, and post-institutional transition challenges following the dissolution of BRGM in 2024. This study aims to develop an ICT Master Plan (RITIK) for M4CR using the TOGAF Architecture Development Method (ADM). A qualitative interpretive approach combining case study and action research was employed. Data was collected through in-depth interviews with three key informants (PPK, IT Expert, IT Assistant), observation, and document review. TOGAF ADM was applied from the Preliminary Phase through Opportunities, Solutions, and Migration Planning (Phases E–F), with ArchiMate 3.2 as the modeling notation. Results include: (1) a five-module integrated IS architecture (SI_DMPM, SI_KONTRAK, SI_OPERASIONAL, SI_EKSEKUTIF, SI_PENGETAHUAN) built on an open-source infrastructure stack (PostgreSQL/PostGIS, GeoServer, containerization); (2) a technology architecture shifting from fragmented SaaS dependency to a centralized, organization-owned server; and (3) a four-phase technical implementation roadmap (2026–2027) within a broader 2026–2030 ICT strategic planning horizon designed to ensure post-project governance continuity validated through internal FGD. The RITIK provides strategic guidance for ICT governance continuity across institutional transitions and PBC target acceleration.
Strengthening Security Awareness in the Era of Artificial Intelligence-Based Cyber Threats Nusandika Patria; Sopian Amir; Dana Indra Sensuse; Sofian Lusa; Nur Indrawati; Nurcholis Ramlan
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 | DOI: 10.24036/ijmurhica.v9i2.465

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.
When the Coach Is a Screen: Tacit Knowledge Transformation in AI-Powered Marathon Coaching Dewi Mutiara Nurani; Dana Indra Sensuse; Sofian Lusa
Jurnal Ragam Pengabdian Vol. 3 No. 2 (2026): Mei-Agustus, Sustainable Development Goals (SDGs): Multidisciplinary Perspectiv
Publisher : Lembaga Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/sjw8e348

Abstract

The increasing use of AI-powered running coaching applications in marathon training has raised questions about whether AI can replace the tacit knowledge of human coaches. This study explores how tacit knowledge changes as coaching shifts from human coaches to AI-powered coaching systems. An exploratory qualitative approach was adopted through semi-structured interviews with eight marathon runners and two running coaches who had experience using AI-powered running coaching applications. The interview data were analyzed using Braun and Clarke's six-phase reflexive thematic analysis. The findings show that AI is effective in supporting data driven coaching tasks. However, AI still has limitations in understanding athletes' emotional conditions, personal circumstances, and contextual factors that influence coaching decisions that remain difficult for AI to replicate. These findings suggest that future AI-powered running coaching systems should be designed to support rather than replace human coaches by considering athletes' contextual and emotional conditions, providing features that assist coaches in decision-making, and encouraging collaboration between AI and human coaches to improve marathon training. 
Co-Authors Abdullah, Puja Putri Abdurrohhim Syahruromadhon ACHMAD FUAD Ade Fitria Lestari Adhitama, Raihansyah Yoga Adi Pratama, Yoga Adi Suryaputra Paramita Aditya, Silfa Kurnia Afifah Nefiratika Afina Putri Dayanti Agnes Agnes Ahmad Jurnaidi Wahidin Aji Baskoro Ajie Tri Hutama Akbar, Hidayat Akbarsyah Anza, Fikri Alfiani, Husna Altino, Iqbal Caraka Alusi, Fahmi Amanda Ghaisani Amastini, Fitria Anditama, Muhammad Rizky Andriansyah, Chandra Ansis, Ronny Anza, Fikri Akbarsyah Aprilia Pratiwi Aprilia, Relaci Apriyana, Yeni Apriyanti Sijabat Ariani, Septi Arief Ramadhan Arief Ramadhan Arif Wahyudi Ariq Naufal Satria Aryanto Aryanto Assaf Arief Assaf Arief Assaf Arief Assaf Arief, Assaf Astrianty, Rani Aprilia Ayu Bintang Nurrachma Gunawan Ayu Bintang Nurrachma Gunawan Ayu Bintang Nurrachma Gunawan Aziz, Riva Abdillah Basnur, Prajna Wira Binsar Tampahan Binsar Tampahan Binsar Tampahan Brillianto, Bramanti Budi, Nur Fitriah Ayuning Budiarti Budiarti Cahyaningsih, Elin Cakra Wirabuana Cakra Wirabuana Cynthia Deborah Nababan Damayanti Elisabeth Damayanti Elisabeth Damayanti Elisabeth Damayanti Elisabeth Damayanti Elisabeth Darmawan Baginda Napitupulu Darmawan Napitupulu Daulika, Aska Deden Sumirat Hidayat Deden Sumirat Hidayat Deden Sumirat Hidayat Deden Sumirat Hidayat Deden Sumirat Hidayat Deden Sumirat Hidayat, Deden Sumirat Dencaswo Purnomo Desiana Nurul Maftuhah Destriani, Rahma Dewi Mutiara Nurani Dewi Sartika Dewi, Yesi Puspita Diaz Saputra Dieny Sukmiati Dieny Sukmiati Dieny Sukmiati Dion Lamilga Sudiono Putra Dion Lamilga Sudiono Sudiono Putra Domingas Soares Dwi Handoko Dwi Handoko Dwi Handoko Dwi Handoko Edi Abdurachman El Farisi, Salman Elin Cahyaningsih Elin Cahyaningsih Elisabeth, Damayanti Elkaf Fahrezi Soebianto Putra Erisva Hakiki Purwaningsih Erisva Hakiki Purwaningsih Erisva Hakiki Purwaningsih Erisva Hakiki Purwaningsih Erisvaha Kiki Purwaningsih Erni Juraida EVI YULIANTI Fachri Munandar Fahmi Alusi Fahmi Alusi Fahmi Alusi Faiz Rizqullah Pratama Faradillah Faradillah Fathurahman Ma'ruf Hudoarma Fatoumatta Binta Jallow Fauzia Achmad, Yunita Fauzia Nur, Pita Larasati Ferdian Maulana Akbar Ferry Febrianto Finannisa Zhafira Firdaus, Aditya Reza Firmansyah Apryadhi Fithri Selva Jumeilah Fitria Amastini Fitria Handayani Fitria Rahma Sari Fitria Rahma Sari Fitria Rahma Sari Fitriya, Ghina Ford Lumban Gaol Franky Juhar Furqon, Moehammad Arief Galih Reksa Lingga Respati Gesi Deta Hendika Wardani Ghaisani, Amanda Ghina Fitriya Giffari, Rafi Goldie Gunadi Hakim, Mohammad Luqmanul Hamid, Ricky Bahari Handika Masbudi Hanif Sudira Harjanto Prabowo Harjanto Prabowo Harjanto Prabowo Harry B. Santoso Harry Sinaga Hartanto, Adi Herlambang Permadi Hidayat Akbar Hidayat Akbar Hidayat, Ilatifah Nur Hudoarma, Fathurahman Ma'ruf Husain Husain Husain Husain Husna Alfiani I Made Agus Ana Widiatmika I Made Agus Ana Widiatmika I Made Agus Ana Widiatmika I Nyoman Adi Putra Icha Mailinda Icha Mailinda Icha Mailinda Ignatius Adrian Mastan Iindra Iriyanti Iklima Ermis Ismail Imairi Eitiveni Imanuddin, Kamila Alifia Inayah, Suci - Indra, Muhammad Nadhirsyah Indria, Sofi Indriasari , Sofiyanti Indriasari, Sofianti Irni Irmayani Isnina Eva Hidayati Iwan Juniar Simanjutak Iwan Simanjuntak Jacquline Waworundeng Jallow , Fatoumatta Binta Jani Richi R. Siregar Janitradevi N., Erza Jeffry Adityapriatama Jonathan Sofian Lusa Jonathan Sofian Lusa Jonathan Sofian Lusa Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Khalid Jasir Khusnu Perdani, Mizana Krisanto Abilowo Kurnia Aditya, Silfa Kurniawan, Shabrina Salsabila Lathiful Alamsyah Lenggo Geni Lia Ellyanti Louis Dwysevrey Ompusunggu Lusa, Sofian Lusa, Sofian Lusi Fajarita M. Mushlih Ridho M. Mushlih Ridho Maharani, Nandhita Zefania Mahmud Ali Asykar Mahsa Elvina Rahmawyanet Mahsa Elvina Rahmawyanet Marwan Wahyudin Maulana, Miftahul Meilinda Puji Pamungkas Mia Agustina Miftahul Maulana Miftahul Maulana Miftahul Maulana Mirza Triyuna Putra Moehammad Arief Furqon Moehammad Arief Furqon Moh. Anshori Aris Widya Monica Ratna Andani Muhamad Adhytia Wana Putra Rahmadhan Muhammad Fadhiel Alie Muhammad Farid Fadhlan Muhammad Hafizh Qurani Muhammad Luthfir Rahman Muhammad Rizki Muhammad Rizki Muhammad Saddam Muhammad, Miftah Mutia Sayyidah Nadya Safitri Nadya Safitri Nadya Safitri Nadya Safitri Nadya Safitri Nadya Safitri Nadya Safitri, Nadya Nandhita Zefania Maharani Napitupulu, Darmawan Nashrul Hakiem Nashrul Hakiem Natalia Kristian Nefiratika, Afifah Nerissa Arviana Ni Wayan Trisnawaty Ni Wayan Trisnawaty Novi Sofia Fitriasari Novi Sofia Fitriasari Novia Agusvina Nur Chasanah Nur Chasanah Nur Chasanah Nur Chasanah Nur Fitriah Ayuning Budi Nur Indrawati Nur Indrawati Nur Indrawati, Nur Nur Isni Nirwan Nurcholis Ramlan Nurcholis Ramlan Nurcholis Ramlan Nurcholis Ramlan Nurul Aulia Larasati Nurzaitun Purwasih Nurzaitun Purwasih Nurzaitun Purwasih Nusandika Patria Oki Priyadi Permadi, Herlambang Pita Larasati Fauzia Nur Pita Larasati Fauzia Nur Pita Larasati Fauzia Nur Pradipta, Dhea Junestya Prasetyo Adi Prasetyo Adi Prasetyo Adi Wibowo Putra Prasetyo Adi Wibowo Putro Prasetyo Adi Wibowo Putro Prasetyo Adi Wibowo Putro Prasetyo Adi Wibowo, Prasetyo Adi Prastowo, Rahardito Dio Pratiwi, Aprilia Pratiwi, Maharani Eka Prayoga, Sigit Hadi Prihantara Arif Budi Santosa Prima, Pudy Puji Rahayu Puji Rahayu Purnomo, Dencaswo Purwaningsih, Erisva Hakiki Purwasih, Nurzaitun Putra Tresna Linge Putra, Risma Bayu Putro , Prasetyo Adi Wibowo Putro, Prasetyo Adi Wibowo Putu Raditya Astika Putra Qurrota Ayun Majid R. Sapto Hendri Boedi Soesatyo Rabiah Al Adawiyah Rachmawati, Ummi Azizah Raden Trimanadi Rafi Aziizi Muchtar Rafi Giffari Rahmat Nurcahyo Rahmat Nurcahyo Rahmawyanet, Mahsa Elvina Ramadhan, Yudistira Rani Aprilia Astrianty Rendra Gustriansyah Retisa Heryati Siwi Rian Rahmanda Putra Rias Kumalasari Devi Richi R. Siregar, Jani Ridwan Afandi Ridwan Marbanie Rika Ekawati Rina Rahmawati, Rina Ringgi Cahyo Dwiputra Rini Muliahati Risma Bayu Putra Risma Bayu Putra Risma Bayu Putra Rivaldi Rizalul Akhsan Rivaldi Rizalul Akhsan Rivaldi Rizalul Akhsan Rizaldy Septa Amanda Rizaldy Septa Amanda Rizki Kurniawan Rizky, Fajar Robby Hermansyah Romlah, Ummu Habibah Ronaldo Agung Nugroho Ronny Ansis Rudy Sugiharto Iskandar Ryan Randy Suryono S.Pd. M Kes I Ketut Sudiana . Sabrina Editha Putri Salman Alfarisi Salman El Farisi Salman El Farisi Saputro, Singgih Dwi Sari, Fitria Rahma Sarika Afrizal Sarika Afrizal Sarika Afrizal, Sarika Semlinda Juszandri Bulan Septa Amanda, Rizaldy Septian Bagus Wibisono Shabrina Salsabila Kurniawan Sidig Agung Sutrisno Sigit Hadi Prayoga Sigit Hadi Prayoga Sigit Hadi Prayoga Sihombing , Boy Sandi Kritian Sihombing, Boy Sandi Kristian Silfa Kurnia Aditya Sinatrio Bimo Wahyudi Slamet Darmawan Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofianti Indriasari Sofianti Indriasari Sofiyanti Indriasari Sopian Amir Sri Rosa Anjelia Sudarto, Reska Nugroho Suhaidir, Wiliam Sukma Firdaus Suryahadi Sukmiati, Dieny Sutoyo, Mochammad Arief Hermawan Suwardiman, Suwardiman Suwiyanto, Viktor Syarifah Hanum Tambunan, Ester Marta Tampahan, Binsar Tanjung, Aldiyan Muhammad Taqwim Bagus Nurzahid Teguh Raharjo Tijani Putri Shabrina Tinny D Kaunang Tokuro Matsuo Tommy Putra Pratama Gunawan Trimanadi, Raden Triyono, Gandung Tsaqif Alfatan Nugraha Ulum, M. Bahrul Wahab, Iis Hamsir Ayub Wanda Kinasih Warkim Warkim Warkim Warkim, Warkim Wendy Nur Falaq Wendy Nur Falaq Wibowo Putra, Prasetyo Adi Wibowo Putro, Prasetyo Adi Wibowo, Wahyu Setyawan Widiatmika, I Made Agus Ana Wiliam Suhaidir Wiliam Suhaidir Wiliam Suhaidir Yaziji, Warda Yolanda Yosephine Zebua Yordan Yasin Yordan Yasin Yordan Yasin Yossi Naomi Magdalena Yudho Giri Sucahyo Yudho Giri Sucahyo Yulfitri, Alivia Yulia Kurniawati Yulianingsih Yulianingsih