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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 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 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 Journal La Multiapp International Journal of Social Service and Research Asian Management and Business Review Jurnal Impresi Indonesia Makara Journal of Technology 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 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 Scientific Journal of Informatics JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Dana Indra Sensuse
Universitas Indonesia
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Analyst’s Perception on the Use of AI-based Tools in the Software Development Life Cycle Rafi Giffari; M. Mushlih Ridho; Dana Indra Sensuse; Deden Sumirat Hidayat; Erisva Hakiki Purwaningsih
Jurnal Sistem Informasi Vol. 20 No. 1 (2024): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v20i1.1399

Abstract

Artificial Intelligence (AI) integration has been the goal in many industries, including in the software development industry. One example of this integration comes in the form of integrating AI in the Software Development Lifecycle (SDLC). To date, the difficulties of incorporating AI-based tools into particular phases of SDLC have not received much attention in research. Using qualitative approach, this study aims to discover the perception on the use of AI-based tools and challenges in integrating them in the analysis phase of SDLC. The study finds out that analyst have positive perception about integrating this technology in their field of work but there are some challenges while integrating this technology such as data security and reliability concern, dependency, and adapting to this technology. This study also discovers some key factors of why some analysts adopt or refuse this technology namely time, urgency, budget, and insecurities of the users.
Perceptions of the Use of Quick Response Code Indonesian Standard (QRIS) for Payment and its Impact on Consumer Behavior Cakra Wirabuana; Ridwan Marbanie; Dana Indra Sensuse; Deden Sumirat Hidayat; Erisva Hakiki Purwaningsih
Jurnal Sistem Informasi Vol. 20 No. 2 (2024): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v20i2.1416

Abstract

Currently the use of cash payments is starting to change to a simpler payment method to non-cash transactions, it is supported by digital payment technology that is developing very quickly. One of the payment methods that can be used through smartphones is using QR codes as a way of payment. Using a qualitative approach, this study aims to analyze the influence of usability, ease of use, and trust factors on consumer acceptance of QR and its impact on purchasing behavior through a qualitative approach. The results of this study will contribute to the development of digital payments, especially based on the resulting perceptions and their impact on purchasing behavior.
Patterns and Best Practices of Knowledge Sharing among Programmers on Stack Overflow: A Qualitative Study Cakra Wirabuana; M. Mushlih Ridho; Dana Indra Sensuse; Imairi Eitiveni; Deden Sumirat Hidayat; Sofiyanti Indriasari
Jurnal Sistem Informasi Vol. 21 No. 1 (2025): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v21i1.1441

Abstract

This research explores knowledge-sharing patterns and best practices among programmers on the Stack Overflow platform. Using a qualitative approach, the study analyzes interviews with seven programmers to identify user behavior and contributions to knowledge sharing. The findings reveal that most users exhibit passive usage, seeking solutions without actively participating due to introverted tendencies, time constraints, and concerns about redundancy and confidentiality. However, Stack Overflow remains a valuable resource for problem-solving. Best practices identified include using multiple forums, ensuring detailed and clear questions, and encouraging active participation. These strategies can enhance the quality of shared knowledge and create a more comprehensive and reliable knowledge base for the programming community. The study also suggests that addressing psychological barriers and integrating knowledge-sharing activities into routine work processes can increase active participation. These insights are essential for improving user engagement and the overall effectiveness of online knowledge-sharing platforms.
Development of a Conceptual Framework for Implementing Learning Management System (LMS) in Higher Education: An Empirical Validation Study Rivaldi Rizalul Akhsan; Dion Lamilga Sudiono Putra; Dana Indra Sensuse; Deden Sumirat Hidayat; Erisva Hakiki Purwaningsih
Jurnal Sistem Informasi Vol. 21 No. 2 (2025): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v21i2.1458

Abstract

Higher education institutions today face increasingly complex challenges in adopting and implementing Learning Management Systems (LMS) to improve student learning experiences. Although previous research regarding LMSs exists, it has not fully explored the findings of their conceptual framework through empirical studies of Critical Success Factors (CSFs). This research provides in-depth details about the development of a conceptual framework designed to guide the LMS implementation process in higher education settings. The Systematic Literature Review (SLR) method is used to identify and introduce the main elements in this conceptual framework. Furthermore, the conceptual framework was validated through a series of questionnaires distributed to experts in the fields of education and information technology. The results of this research show that the conceptual framework developed covers important stages in LMS implementation, from planning to evaluation. Empirical validation carried out involving experts proves that the conceptual framework developed is valid as an instrument for implementing LMS in a higher education environment. The conclusions of this research provide valuable guidance for LMS implementation in higher education.
SYSTEMATIC LITERATURE REVIEW ON ARTIFICIAL INTELLIGENCE IN INDONESIA’S PUBLIC SECTOR: REIMAGINING DIGITAL GOVERNMENT Pratiwi, Aprilia; Rahmawyanet, Mahsa Elvina; Wibowo Putra, Prasetyo Adi; Sensuse, Dana Indra
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6842

Abstract

This study conducts a Systematic Literature Review (SLR) to critically examine the application of Artificial Intelligence (AI) in e-government within the Indonesian public sector. Addressing the limited empirical research and fragmented understanding of AI adoption in Indonesia’s digital governance landscape, this review analyzes 22 peer reviewed articles published between 2021 and 2025 from reputable databases including Scopus, IEEE, ACM Digital Library, SpringerLink, and Emerald Insight. The review identifies adaptability and innovation, ethical consideration, collaboration and partnership as the most frequently cited critical success factors. Meanwhile, the top three recurring challenges are lack of awareness, skill & expertise, policy or legal uncertainty, resistance to change. To address these challenges, the study proposes a multi dimensional AI implementation strategy focusing on strengthening digital infrastructure, developing human capital through sustained capacity building, formulating clear and accountable AI governance policies, and fostering inclusive, cross sectoral stakeholder engagement. This study offers novel insights by mapping AI related factors into the Technology,Organization, Environment (TOE) framework and synthesizing practical, context-specific recommendations for Indonesian policymakers seeking to build an adaptive, inclusive, and sustainable AI based e-government ecosystem
MODEL KNOWLEDGE SHARING BERBASIS KOMPETENSI: STUDI KASUS BIRO KEPEGAWAIAN PADA SEBUAH INSTITUSI PEMERINTAH Rini Muliahati; Dana Indra Sensuse
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 8, No 2, Juli 2010
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v8i2.a314

Abstract

Knowledge organisasi paling banyak berupa knowledge tersirat (tacit knowledge) yang tersimpan di pemikiran (otak) pegawai dan diperlukan dalam aktivitas-aktivitas organisasi, karenanya knowledge tersirat pegawai sebuah organisasi/perusahaan merupakan aset yang berharga. Namun, banyak perusahaan yang tidak mengetahui potensi knowledge tersembunyi pegawainya. Akibatnya, ketika seorang pegawai yang memiliki knowledge meninggalkan perusahaan maka perusahaan akan kehilangan knowledge pegawai tersebut. Selain itu, perusahaan juga tidak dapat mengidentifikasi pegawai yang memiliki kompetensi teknikal yaitu pegawai yang memiliki knowledge dan menjadi referensi knowledge bagi pegawai lainnya, sehingga potensi pengetahuan dan keahlian pegawai tersebut tidak dapat dimanfaatkan secara maksimal oleh perusahaan yang akhirnya akan berpengaruh pada karir pegawai tersebut yang cenderung tidak meningkat. Keadaan tersebut kini menjadi masalah yang harus segera diselesaikan oleh Biro Kepegawaian (Rowai) pada sebuah institusi pemerintah. Rowai harus dapat mengetahui siapa saja pegawainya yang memiliki knowledge. Knowledge tersirat yang dimiliki oleh pegawai dan masih berada di kepala masing-masing dapat terlihat jika mereka secara bersama-sama melakukan suatu pekerjaan atau kegiatan di mana di dalamnya terdapat proses knowledge sharing. Knowledge sharing itu sendiri dianggap sebagai hubungan sosial antar orang dan dapat dimodelkan sebagai jejaring hubungan (network of relationships). Model jejaring knowledge sharing dapat diketahui dengan cara memeriksa struktur dari relasi sosial knowledge sharing di dalam perusahaan dengan menggunakan Social Network Analysis (SNA). SNA dapat mendukung knowledge sharing dengan fokus pada berbagai penggunaan inti dari pengelolaan knowledge (knowledge management), salah satunya adalah mengidentifikasi kepakaran dan knowledge pribadi. Penelitian ini menggunakan SNA untuk mengidentifikasi model knowledge sharing berbasis kompetensi di Rowai. Berdasarkan model knowledge sharing yang dihasilkan dan dengan menggunakan hasil perhitungan kuantitatif beberapa fungsi SNA dan statistik, keadaan jejaring network (knowledge network) dan knowledge sharing di Rowai dapat diketahui. Selain itu, pegawai Rowai yang kompeten yaitu pegawai yang memiliki knowledge dan menjadi referensi knowledge bagi banyak pegawai, juga dapat diketahui. Hasil-hasil tersebut dapat membantu Rowai untuk mengelola knowledge pegawainya, memberdayakan karir pegawai yang kompeten, dan meningkatkan komitmen terhadap kegiatan knowledge sharing di Rowai.
AI Agents for Organizational Knowledge Retrieval and Sharing: A Systematic Literature Review Sri Rosa Anjelia; Dana Indra Sensuse; Sofian Lusa
International Journal of Advances in Data and Information Systems Vol. 6 No. 3 (2025): December 2025 - International Journal of Advances in Data and Information Syste
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i3.1462

Abstract

As complexity and volume of data continue to increase, studies have found that traditional knowledge management systems are unable to keep up. Distributed teams, which are increasingly adopted by organizations as ways of working, have significantly transformed how employees manage their knowledge within these organizations. Artificial intelligence (AI), especially AI agents, is increasingly being used by organizations as a solution to enhance knowledge retrieval and sharing. However, it remains fragmented, with little awareness of its effective capabilities, limitations, and implications for organizational knowledge processes. The objective of this study was to systematically evaluate and synthesize recent research on AI agents for organizational knowledge retrieval and sharing. A PRISMA-based Systematic Literature Review (SLR) was carried out on studies published between 2021 and 2025. A total of 28 studies were analyzed to classify AI agent capabilities, supporting technologies, and key challenges across diverse domains and regions. The results revealed five key capabilities of AI agents, such as user-centered interaction, semantic knowledge extraction & retrieval, intelligent reasoning & decision support, automation & workflow management, and explainability & traceability. These capabilities were supported by technologies such as large language models, machine learning, natural language processing, knowledge graphs, ontologies, and other prominent technologies. Adoption challenges primarily included data quality & semantic alignment, system interoperability, trust & adoption issues, and ethical & governance concerns. This review concludes that AI agents hold strong potential to improve organizational knowledge processes, but it requires strategic integration, strong data governance, and human-centered design principles.
Knowledge Management Success Factors for Indonesia Local Government: Case Study Pontianak City Government Irmayani, Irni; Editha Putri, Sabrina; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth , Damayanti
Eduvest - Journal of Universal Studies Vol. 5 No. 12 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i12.52446

Abstract

In Indonesia's e-Government, knowledge management is one of mandatory indicators that must be implemented at both the central and local government levels. Unfortunately, the use of knowledge management in Indonesia's local government is still very lacking. This condition is reflected in the e-government management index score at the city level nationally in 2024, which only reached 2.03, categorized as sufficient. However, knowledge management is a crucial foundation for the development of public services and innovation in local government. The aim of this study is to identify the Critical Success Factors (CSF) for the implementation of knowledge management in the Pontianak City Government through survey and interview methods. Data analysis was conducted using Structural Equation Modeling-Partial Least Square, with knowledge management as the latent variable. The results of the study suggest that innovation, measurement, regulation and technology adoption have a significant positive impact on knowledge management implementation strategies in local government. Thes success factors are the used as guidelines for developing knowledge management strategies in the Pontianak City Government, and local government in general.
Identifying Key Components of Knowledge Management Strategy in Government: A Systematic Literature Review Putri, Sabrina Editha; Irmayani, Irni; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya
Journal of Business, Social and Technology Vol. 7 No. 1 (2026): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v7i1.579

Abstract

Background: Amid digital transformation and the demand for adaptive public governance, Knowledge Management (KM) has become a strategic asset for government agencies. Previous studies have examined individual KM success factors—such as leadership, organizational culture, or technology readiness—yet most remain fragmented, case-specific, and lack an integrated strategic framework tailored to public sector governance. Objective: This study aims to identify key components and effective strategies for implementing KM in government organizations through a Systematic Literature Review (SLR) using the PRISMA 2020 framework. Methods: A total of 600 articles were screened from five leading scientific databases, resulting in 20 eligible studies for in-depth analysis. The review addresses two questions: (1) What are the key components of KM in government. (2) What strategies effectively support KM implementation in the public sector. Results: KM success in government rests on two interrelated domains: KM Foundation (leadership, organizational culture, structure, readiness, and technological infrastructure) and KM Solution (knowledge capture, sharing, discovery processes, regulatory mechanisms, and user-friendly systems). Nine strategic implementation areas were identified, including transformational leadership, human capital development, technology integration, performance alignment, and regulatory strengthening. Unlike prior studies that examined KM components separately, this research integrates fragmented findings into a structured and strategic framework combining foundational and operational dimensions. The study contributes theoretically by conceptualizing KM as a strategic governance capability and practically by offering policy-relevant guidance for strengthening adaptive, collaborative, and knowledge-driven public sector reform. Conclusion: An integrated and strategically aligned KM approach is essential for sustainable and effective public governance.
Explainable Ensemble Learning for Transparent and Efficient Zakat Scholarship Selection Jasir, Khalid; Safitri, Nadya; Lusa, Sofian; Sensuse, Dana Indra
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52639

Abstract

Education financial assistance funded by Zakat, Infaq, and Waqf holds significant potential to support sustainable higher education. Islamic Trust Fund Ar-Raniry faces challenges in the scholarship selection process due to manual processing. This condition leads to operational inefficiency and raises concerns of subjectivity due to a lack of transparency in rejection or acceptance decisions. This study aimed to improve efficiency, objectivity, and transparency of the selection process with a Decision Support System. The study conducted a Decision-Oriented Diagnosis and Feasibility Study to understand the decision-making process. The design of a Decision Support System employed Unified Modeling Language. A prototype created using Low-code/No-code development tools following the Rapid Application Development methodology, while model development adhered to the Cross-Industry Standard Process for Data Mining. The best classification model is a Soft Voting Ensemble of Naïve Bayes, K-Nearest Neighbors, and Support Vector Machine (SVM) with Synthetic Minority Oversampling Technique (SMOTE). The model achieved an Accuracy of 75.63%, a Macro Precision of 72.80%, Minority Class Precision of 65.96%, Macro Recall of 71.16%, Minority Class Recall of 57.41%, F1-score of 71.79%, and AUC ROC of 69.57% in Holdout Testing. Local Interpretable Model-Agnostic Explanation explained the classification results. The main factor affecting classification for the Accepted class is the Fee Level. The implementation resulted in integrated data and automated business processes. Thereby supporting the acceleration of an efficient, objective, and transparent selection process. An implementation strategy was formulated, including parallel conversion, computer-based training, and system support and maintenance.
Co-Authors Abdullah, Puja Putri Abilowo, Krisanto ACHMAD FUAD Ade Fitria Lestari Adhitama, Raihansyah Yoga Adi Pratama, Yoga Adi Suryaputra Paramita Aditya, Silfa Kurnia Afifah Nefiratika Agnes Agnes Ahmad Jurnaidi Wahidin Ajie Tri Hutama Akbarsyah Anza, Fikri Akhsan, Rivaldi Rizalul Alfiani, Husna Altino, Iqbal Caraka Alusi, Fahmi Amastini, Fitria Amir, Sopian Andani, Monica Ratna Anditama, Muhammad Rizky Andriansyah, Chandra Ansis, Ronny Aprilia Pratiwi Aprilia, Relaci Apriyana, Yeni 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 Asykar, Mahmud Ali Ayu Bintang Nurrachma Gunawan Ayu Bintang Nurrachma Gunawan Ayu Bintang Nurrachma Gunawan Aziz, Riva Abdillah Baskoro, Aji Basnur, Prajna Wira Binsar Tampahan Binsar Tampahan Binsar Tampahan Brillianto, Bramanti Budi, Nur Fitriah Ayuning Cahyaningsih, Elin Cakra Wirabuana Damayanti Elisabeth Damayanti Elisabeth Damayanti Elisabeth Darmawan Baginda Napitupulu Darmawan Napitupulu Deden Sumirat Hidayat Deden Sumirat Hidayat Deden Sumirat Hidayat Deden Sumirat Hidayat, Deden Sumirat Desiana Nurul Maftuhah Destriani, Rahma Dewi Sartika Dewi, Yesi Puspita Diaz Saputra Dieny Sukmiati Dieny Sukmiati Dieny Sukmiati Dion Lamilga Sudiono Putra Dwi Handoko Dwi Handoko Dwi Handoko Dwi Handoko Edi Abdurachman Editha Putri, Sabrina Ekawati, Rika El Farisi, Salman Elin Cahyaningsih Elin Cahyaningsih Elisabeth , Damayanti Elisabeth, Damayanti Elkaf Fahrezi Soebianto Putra Erisva Hakiki Purwaningsih Erisva Hakiki Purwaningsih Erisva Hakiki Purwaningsih EVI YULIANTI Evi Yulianti Fachri Munandar Fahmi Alusi Fahmi Alusi Fahmi Alusi Faradillah Faradillah Fathurahman Ma'ruf Hudoarma Fatoumatta Binta Jallow Fauzia Nur, Pita Larasati Ferdian Maulana Akbar Ferry Febrianto Fikri Akbarsyah Anza Firdaus, Aditya Reza Firmansyah Apryadhi Fithri Selva Jumeilah Fitria Amastini Fitria Rahma Sari Fitria Rahma Sari Fitria Rahma Sari Fitriya, Ghina Ford Lumban Gaol Franky Juhar Furqon, Moehammad Arief Galih Reksa Lingga Respati Geni, Lenggo Ghaisani, Amanda Ghina Fitriya Giffari, Rafi Goldie Gunadi Hakim, Mohammad Luqmanul Hamid, Ricky Bahari Hanif Sudira Harjanto Prabowo Harjanto Prabowo Hartanto, Adi Herlambang Permadi Hidayat Akbar Hidayat Akbar Hidayat, Ilatifah Nur Hudoarma, Fathurahman Ma'ruf Husain Husain Husna Alfiani I Made Agus Ana Widiatmika I Made Agus Ana Widiatmika I Made Agus Ana Widiatmika I Nyoman Adi Putra Ignatius Adrian Mastan Iklima Ermis Ismail Imairi Eitiveni Imanuddin, Kamila Alifia Inayah, Suci - Indra, Muhammad Nadhirsyah Indria, Sofi Indriasari , Sofiyanti Indriasari, Sofianti Irmayani, Irni Iwan Juniar Simanjutak Jallow , Fatoumatta Binta Jani Richi R. Siregar Jasir, Khalid Jeffry Adityapriatama Jonathan Sofian Lusa Jonathan Sofian Lusa Jonathan Sofian Lusa Juraida, Erni Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kurniawan, Shabrina Salsabila Larasati, Nurul Aulia Lathiful Alamsyah Lenggo Geni Lia Ellyanti Louis Dwysevrey Ompusunggu Lusa, Sofian Lusa, Sofian Lusi Fajarita M. Mushlih Ridho M. Mushlih Ridho Maharani, Nandhita Zefania Mahsa Elvina Rahmawyanet Marwan Wahyudin Masbudi, Handika 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 Muhamad Adhytia Wana Putra Rahmadhan Muhammad Fadhiel Alie Muhammad Farid Fadhlan Muhammad Rizki Muhammad, Miftah Nababan, Cynthia Deborah Nadya Safitri Nadya Safitri Nadya Safitri Nadya Safitri, Nadya Nandhita Zefania Maharani Napitupulu, Darmawan Nashrul Hakiem Nashrul Hakiem Nefiratika, Afifah Ni Wayan Trisnawaty Novia Agusvina Nugroho, Ronaldo Agung Nur Chasanah Nur Chasanah Nur Chasanah Nur Chasanah Nur Fitriah Ayuning Budi Nur Indrawati, Nur Nurcholis Ramlan Nurzaitun Purwasih Nurzaitun Purwasih Nurzaitun Purwasih Oki Priyadi Patria, Nusandika 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 Purwaningsih, Erisvaha Kiki Purwasih, Nurzaitun Putra Tresna Linge Putra, Risma Bayu Putri, Sabrina Editha Putro , Prasetyo Adi Wibowo Putro, Prasetyo Adi Wibowo Qurrota Ayun Majid R. Sapto Hendri Boedi Soesatyo Rabiah Al Adawiyah Rachmawati, Ummi Azizah Rafi Giffari Rahmat Nurcahyo Rahmat Nurcahyo Rahmawyanet, Mahsa Elvina Ramadhan, Yudistira Rani Aprilia Astrianty Rendra Gustriansyah Rian Rahmanda Putra Rias Kumalasari Devi Richi R. Siregar, Jani Ricky Bahari Hamid Ridho, M. Mushlih Ridwan Afandi Ridwan Marbanie Rina Rahmawati, Rina Ringgi Cahyo Dwiputra Rini Muliahati Risma Bayu Putra Risma Bayu Putra Risma Bayu Putra Rivaldi Rizalul Akhsan Rizaldy Septa Amanda Rizaldy Septa Amanda Rizki Kurniawan, Rizki Rizky, Fajar Robby Hermansyah Romlah, Ummu Habibah Ronny Ansis Rudy Sugiharto Iskandar Ryan Randy Suryono S.Pd. M Kes I Ketut Sudiana . Saddam, Muhammad Salman Alfarisi Salman El Farisi Salman El Farisi Saputro, Singgih Dwi Sari, Fitria Rahma Sarika Afrizal Sarika Afrizal Sarika Afrizal, Sarika Sayyidah, Mutia Semlinda Juszandri Bulan Septian Bagus Wibisono Shabrina Salsabila Kurniawan Sigit Hadi Prayoga Sigit Hadi Prayoga Sigit Hadi Prayoga Sihombing , Boy Sandi Kritian Sihombing, Boy Sandi Kristian Silfa Kurnia Aditya Slamet Darmawan Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofianti Indriasari Sofiyanti Indriasari Sofiyanti Indriasari Sofiyanti Indriasari Sri Rosa Anjelia Sudarto, Reska Nugroho Suhaidir, Wiliam Sukmiati, Dieny Sutoyo, Mochammad Arief Hermawan Suwardiman, Suwardiman Suwiyanto, Viktor Syarifah Hanum Tambunan, Ester Marta Tampahan, Binsar Tanjung, Aldiyan Muhammad Tinny D Kaunang Tokuro Matsuo Trimanadi, Raden Triyono, Gandung Tsaqif Alfatan Nugraha Wahab, Iis Hamsir Ayub Wanda Kinasih Warkim Warkim Warkim Warkim, Warkim Wendy Nur Falaq Wendy Nur Falaq Wibowo Putra, Prasetyo Adi Wibowo, Wahyu Setyawan Widiatmika, I Made Agus Ana Wiliam Suhaidir Wiliam Suhaidir Wiliam Suhaidir Wirabuana, Cakra Yasin, Yordan Yaziji, Warda Yolanda Yosephine Zebua Yudho Giri Sucahyo Yudho Giri Sucahyo Yulia Kurniawati Yulianingsih Yulianingsih