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Knowledge Documentation Practices in AI Initiatives: A Systematic Literature Review Finannisa Zhafira; Fitria Handayani; Dana Indra Sensuse; Sofian Lusa; Yordan Yasin
Jurnal Impresi Indonesia Vol. 5 No. 8 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i8.7964

Abstract

Artificial intelligence (AI) has become an essential component of organizational strategy; however, the knowledge generated during AI projects, including design decisions, model behavior, development processes, and practitioner insights, is often insufficiently documented. This study aimed to examine how knowledge documentation is currently practiced in organizations implementing AI. Using a systematic literature review approach, this study analyzed twenty peer-reviewed studies published between 2020 and 2026. The articles were collected from five major academic databases, namely Scopus, ScienceDirect, ACM Digital Library, IEEE Xplore, and Emerald Insight, and were selected following the PRISMA 2020 guidelines. Based on five research questions structured using the PICOC framework, several key findings emerged. First, knowledge management in AI contexts has shifted from static repositories toward more dynamic and AI-supported systems, although this transition introduces challenges such as model drift, inconsistent documentation practices, and difficulties in capturing tacit knowledge. Second, the literature presents various knowledge documentation methods and frameworks, indicating that the field remains in development without a universally accepted standard. Third, structured documentation has been shown to positively influence organizational learning, knowledge reuse, and the overall effectiveness of AI initiatives. Fourth, despite these benefits, significant gaps remain, particularly regarding the absence of standardized AI/machine learning (ML) documentation practices and the limited integration of documentation throughout the AI lifecycle. In response to these challenges, this study proposed the Knowledge Documentation Framework for AI Initiatives (KDF-AI), consisting of twelve components organized into five phases and supported by different maturity levels. Overall, this review highlighted the increasing importance of knowledge documentation as a core capability in AI-driven organizations and provided a foundation for future research and practical implementation.
Knowledge Documentation Framework for AI Initiatives: Development and Validation Across Organizational AI Contexts Fitria Handayani; Finannisa Zhafira; Dana Indra Sensuse; Sofian Lusa; Yordan Yasin
Jurnal Impresi Indonesia Vol. 5 No. 8 (2026): Jurnal Impresi Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v5i8.8019

Abstract

Despite the growing organizational reliance on artificial intelligence (AI) systems, knowledge documentation (KD) practices in AI initiatives remain largely ad hoc, unstandardized, and disconnected from project lifecycle management. This study addressed this gap by proposing and validating the Knowledge Documentation Framework for AI Initiatives (KDF-AI), a twelve-component, five-phase, maturity-tiered framework synthesized through a literature review of peer-reviewed studies on KD practices in organizations implementing AI. Using Design Science Research (DSR) as the methodological paradigm, the study completed two iterative cycles: a literature-based synthesis that produced KDF-AI v1 and an expert evaluation cycle that resulted in the refined KDF-AI v2. Expert content validation was conducted with three domain validators representing academic, governance, and AI practitioner perspectives using a mixed-method approach that combined quantitative Content Validity Index (CVI) assessment with deductive thematic analysis of semi-structured interviews. The results showed that 57 of 66 items (86.4%) achieved universal inter-rater agreement, producing S-CVI/UA = 0.864 and S-CVI/Ave = 0.955, both exceeding the recommended threshold of 0.80. The nine items that did not meet the threshold consistently reflected issues of clarity rather than relevance, indicating strong conceptual acceptance of the framework while highlighting the need for more operationally specific articulation in several Advanced-tier components. Nine targeted revisions resulted in the development of KDF-AI v2. The study contributed: (1) a validated lifecycle-integrated KD framework for AI initiatives; (2) a taxonomy of ten systematically identified gaps in current AI KD practices; and (3) a methodological demonstration of mixed-method CVI validation for framework development in information systems research.
Knowledge Management and IT Governance in Higher Education: A Systematic Review and a Proposed Integration Framework Domingas Soares; Dana Indra Sensuse; Ni Wayan Trisnawaty; Jacquline Waworundeng
Applied Information System and Management (AISM) Vol. 9 No. 1 (2026): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v9i1.46696

Abstract

In the digital transformation era, higher education institutions (HEIs) in developing countries struggle to align information technology governance (ITG) with institutional goals because of fragmented knowledge and constrained resources. Knowledge management (KM) can address these challenges by supporting informed decisions, increasing transparency, and fostering organizational learning. This study conducts a systematic literature review (SLR) to examine how KM strategies enhance ITG in HEIs. Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) procedures, we screened 3,361 records from IEEE Xplore, Scopus, ACM Digital Library, SpringerLink, Google Scholar, and ResearchGate; 20 studies met the inclusion criteria targeting the KM--ITG nexus in HEIs within developing countries (2020--2025). We applied thematic synthesis to answer two research questions (RQs): (RQ1) How do HEIs employ KM to strengthen ITG? (RQ2) Which strategies integrate KM with ITG? For RQ1, HEIs utilize KM to enhance IT decision-making, improve operational efficiency, accelerate digital transformation, and boost staff capacity. For RQ2, integration strategies comprise tailored governance models, digital platforms, communities of practice (CoPs), maturity assessment frameworks, and leadership-driven approaches. This review maps current KM--ITG practices, identifies enablers and barriers, and highlights the need for context-sensitive frameworks in the Global South. The findings synthesize strategies and practices that can guide the design of knowledge-based ITG models to support sustainable digital innovation in higher education.
Developing a Conceptual Model for Knowledge Capture and Knowledge Sharing in Indonesia’s Higher Education Government Using Soft Systems Methodology Sidig Agung Sutrisno; Mutia Sayyidah; Dana Indra Sensuse; Sofian Lusa; Icha Mailinda; Novi Sofia Fitriasari
Information Technology Education Journal Vol. 5, No. 2, May (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i2.280

Abstract

Purpose – This study aims to formulate a conceptual framework for knowledge capture and sharing in higher education governance in Indonesia. It addresses persistent challenges, including fragmented information systems, inadequate documentation of tacit knowledge, and the loss of institutional memory due to organizational restructuring and frequent staff turnover. Design/methods/approach – This study employs a qualitative case study approach, with Soft Systems Methodology (SSM) as the primary analytical framework. Data were gathered through semi-structured interviews with five informants purposively selected from a Directorate at the Echelon II level, which refers to a mid-to senior-level managerial unit within the Indonesian government structure. The analysis integrated thematic coding with the stages of SSM, such as rich picture development, CATWOE analysis, PQR formulation, and conceptual model construction, through which knowledge capture and knowledge sharing were identified as the principal themes. Findings – The findings indicate that current knowledge management practices are largely informal, fragmented, and heavily reliant on individuals. Tacit knowledge is rarely documented, while information exchange primarily occurs through personal interactions and meetings. To address these issues, the proposed conceptual model outlines structured processes for capturing, validating, storing, and disseminating knowledge through a centralized repository, supported by appropriate regulatory mechanisms. This approach provides a conceptual foundation for enhancing efficiency, efficacy, and overall effectiveness by reducing reliance on individual memory and ensuring knowledge continuity amid organizational change. Research implications/limitations - This study is limited to a single directorate and a relatively small group of informants, which may constrain the generalizability of the findings. Furthermore, the proposed model has not yet undergone empirical implementation or testing. Originality/value – This research contributes to the field by applying Soft Systems Methodology (SSM) within the complex context of public-sector higher education government. It also puts forward a structured, context-sensitive model that integrates human factors, processes, technological components, and governance mechanism to strengthen institutional knowledge management.
Absent or Unretrievable: A Two-Layer Knowledge Management Framework for Retrieval-Critical Product Knowledge in a Grocery E-Commerce AI Shopping Assistant Sinatrio Bimo Wahyudi; Dana Indra Sensuse; Sofian Lusa; Muhammad Hafizh Qurani; Yordan Yasin; Icha Mailinda
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.510

Abstract

AI shopping assistants increasingly employ agent-based retrieval, combining lexical search, structured filtering, and LLM-mediated selection. However, effective retrieval often requires knowledge beyond textual matching. This exploratory single-case study of an Indonesian grocery e-commerce assistant triangulates 279 observations, 52 failure traces, 74 practitioner-reported defects, a schema audit, and four practitioner interviews. The analysis identifies six retrieval-critical product knowledge dimensions and shows that knowledge externalization fails at two distinct representational layers. At the product data-model layer, essential fields—such as allergens, dietary constraints, and age suitability—were absent and remained missing despite architectural changes. At the retrieval-schema layer, available knowledge could not reach candidate sets: structured filters were present in only 29% of calls, and even correctly invoked filters frequently returned empty sets from non-empty pools. Addressing these layer-specific failures, the study proposes a structured knowledge framework based on the knowledge management process cycle. It positions GraphRAG as a future direction to enable hybrid structured retrieval for candidate formation and improve eligibility, substitution, and context-aware ranking.
Media Relations Strategy of the Directorate General of PSDKP in Responding Practices and Factors of Knowledge Acquisition and Knowledge Transfer in Digital Media Companies: A Systematic Literature Review Sukma Firdaus Suryahadi; Dana Indra Sensuse; Sofian Lusa; Yordan Yasin; Icha Mailinda
Journal of Social Research Vol. 5 No. 10 (2026): Journal of Social Research
Publisher : International Journal Labs (AHU-0028405-AH.01.14 Tahun 2022)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i10.3439

Abstract

Knowledge acquisition (KA) and knowledge transfer (KT) are two central processes in knowledge management that directly shape an organization’s capacity to innovate and sustain performance. Despite growing research interest, the existing literature remains fragmented across various contexts and rarely integrates practices, influencing factors, and the role of information technology into a single synthesis. This paper presents a systematic literature review following the PRISMA 2020 guidelines and the PICOC framework to synthesize 22 studies published between 2021 and 2026 retrieved from five electronic databases: Scopus, ScienceDirect, ACM Digital Library, IEEE Xplore, and Google Scholar. The synthesis is organized around three research questions addressing practices, influencing factors, and the role of information technology. The review finds that KA and KT in digital media companies are conducted through a combination of formal, informal, and technology-supported mechanisms; their effectiveness is influenced by organizational, relational, and individual factors; and information technology fulfills four key roles: knowledge storage and retrieval, communication and collaboration, data analytics, and artificial intelligence (AI)-based systems. The findings indicate that effective KA and KT in this context result from the alignment of mechanisms, organizational conditions, and technological capabilities rather than from any single dimension. This review contributes a structured framework of practices, influencing factors, and information technology roles that supports future research and practical decision-making in digital media organizations.
Perancangan dan Evaluasi Knowledge Management System Menggunakan Agile Knowledge Management Framework: Studi Kasus Contact Center Bank XYZ Monica Ratna Andani; Dana Indra Sensuse; Sofian Lusa
Inkubis : Jurnal Ekonomi dan Bisnis Vol. 8 No. 3 (2026): INKUBIS Jurnal Ekonomi Dan Bisnis
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/inkubis.v8i3.441

Abstract

Latar belakang: Fragmentasi pengetahuan, risiko knowledge loss, dan tingginya durasi pencarian informasi menjadi hambatan utama bagi capaian Average Handling Time (AHT) dan First Call Resolution (FCR) di Contact Center Bank XYZ. Berdasarkan Laporan Tahunan 2025, tercatat 734.999 pengaduan nasabah sepanjang tahun, dengan mayoritas berkaitan dengan kendala pada sistem teknologi informasi. Tujuan: Penelitian ini bertujuan merancang fungsionalitas, arsitektur, dan prototipe Knowledge Management System (KMS) untuk mengatasi permasalahan tersebut, menggunakan metode kombinasi (mixed methods). Metode: Analisis faktor kontingensi organisasi menunjukkan bahwa proses Direction dan Routines memperoleh skor kesesuaian tertinggi (83,33%), yang kemudian dipetakan ke dalam Agile Knowledge Management (Agile KM) Framework. Hasil: Hasil penelitian berupa prototipe KMS terpadu dengan lima fitur inti: Knowledge Repository, Chatbot/LLM, Collaboration Board berbasis Kanban, Discussion Forum, dan modul Customer 360. Seluruh skenario Black-Box Testing dinyatakan valid. Evaluasi usability dengan System Usability Scale (SUS) memperoleh skor rata-rata 71,5 (kategori Good), sementara evaluasi penerimaan dengan Technology Acceptance Model (TAM) menunjukkan skor Knowledge Management Acceptance tertinggi. Kesimpulan: Temuan ini mengonfirmasi bahwa rancangan KMS berbasis Agile KM Framework dapat diterima pengguna dan berpotensi menjadi solusi yang lebih efektif dibandingkan sistem repositori yang berjalan saat ini.
Modelling Data Warehousing and Business Intelligence Architecture for Non-profit Organization Based on Data Governances Framework Adi Suryaputra Paramita; Harjanto Prabowo; Arief Ramadhan; Dana Indra Sensuse
Journal of Applied Data Sciences Vol 4, No 3: SEPTEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i3.117

Abstract

Information systems research for non-profit organizations is an opportunity to make a contribution to the field of information systems, the adoption of information systems in this field is relatively tedious and there are few studies that examine this area; consequently, there are several research gaps in the domain of non-profit organizations that need to be solved. This research will focus on the development of data warehouse architecture and business intelligence for non-profit organizations. In this study, the Soft Systems Methodology (SSM) technique will be employed to develop a data warehouse architecture and business intelligence. This research will interview twenty individuals to collect primary data, review organizational policy documents, and conduct an open-ended survey. The obtained data will then be qualitatively analyzed, resulting in the formation of rich picture diagrams, CATWOE analysis, and conceptual models, which will ultimately form a data warehouse architecture and business intelligence. This research has produced a microservices-enhanced data warehouse architecture and business intelligence for non-profit organizations.
Conceptual Mapping of Digital Transformation of Government Agencies: A Systematic Literature Review Iwan Simanjuntak; Dana Indra Sensuse; Harry Sinaga
Applied Information System and Management (AISM) Vol. 9 No. 2 (2026): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v9i2.51484

Abstract

Digital transformation in government agencies has become a major public sector reform agenda. However, existing academic studies remain conceptually fragmented across technological, organizational, and institutional perspectives. This study systematically maps the main concepts, interdimensional relationships, and dominant conceptual frameworks used to explain government digital transformation. It conducts a systematic literature review based on Kitchenham's protocol. It analyzes 30 reputable journal articles published between 2021 and 2025, sourced from Scopus, IEEE Xplore, SAGE Journals, Emerald Insight, and Taylor & Francis Online. The selection process was conducted in three stages and complemented by quality assessment to ensure methodological rigor. The findings show that government digital transformation is understood as multidimensional change in public organizations, involving the integration of digital technologies, changes in organizational structures and processes, institutional and governance influences, and orientation toward public value creation. However, relationships among these dimensions are generally treated implicitly and descriptively, without structured conceptual mapping. The literature is dominated by digital government evolution frameworks, co-evolutionary models, and public value frameworks, but these perspectives remain weakly integrated. This study contributes by developing an integrated conceptual mapping that clarifies the structure of knowledge and the interdimensional relationships in government digital transformation, serving as a basis for theoretical development and future research.
Knowledge Risk and Knowledge Management Strategies in a Multifinance Company: A Case Study of PT JACCS MPM Finance Indonesia Rafi Aziizi Muchtar; Taqwim Bagus Nurzahid; Dana Indra Sensuse; Sofian Lusa; Yordan Yasin; Icha Mailinda
Journal Digital Technology Trend Vol. 5 No. 2 (2026): December
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jdtt.v5i2.503

Abstract

Knowledge management plays a vital role in financial service organizations where operational performance relies heavily on information availability, employee expertise, and cross-divisional coordination. However, organizational knowledge is frequently undocumented, dispersed across disconnected platforms, or concentrated within specific individuals, thereby creating key person dependency and heightening organizational knowledge risk. This study investigates the factors driving key person dependency, examines how limitations in tacit knowledge transfer generate knowledge risks, and analyzes their relationship with information fragmentation at PT JACCS MPM Finance Indonesia. A qualitative case study approach was conducted through semi-structured interviews with eight purposively selected informants across the Asset, Collection, IT, Operational, and Procedure divisions, representing managerial, supervisory, and operational levels. The interview data were systematically evaluated using thematic analysis. The empirical findings reveal that tacit knowledge centralization and inadequate documentation practices not only elevate knowledge loss vulnerability during employee turnover, but also lead to operational delays, decision bottlenecks, and information fragmentation across unintegrated communication channels. To mitigate these operational disruptions, this study formulates a sustainable knowledge management strategy that integrates people, processes, and technology through centralized repository implementation, standardized documentation protocols, structured handover procedures, backup personnel assignments, and routine knowledge-sharing routines. Validated by organizational stakeholders, these strategic initiatives offer a practical framework to preserve institutional memory, ensure operational continuity, and minimize reliance on individual knowledge holders.  
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