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Mengeksplorasi Faktor-Faktor Penentu Berbagi Pengetahuan di Sektor Publik: Tinjaun Sistematis-PRISMA Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4864

Abstract

Knowledge sharing (KS) plays is essential for improving organizational performance and innovation, enabling faster problem-solving and collaboration. However, in the public sector, participation in KS remains low, hindering organizational learning and development. As Indonesia adopts knowledge management systems in its public sector, challenges emerge in fostering knowledge-sharing behaviors. This study uses the systematic review method, following PRISMA 2020 guidelines, to identify key factors influencing knowledge-sharing intention (KSI) and propose solutions. Through a rigorous selection process, 20 relevant studies were analyzed, categorizing factors into individual, organizational, and technological groups. The results indicate that attitudes, perceived behavioral control, subjective norms, reward systems, and the perceived usefulness of technology have a significant impact on KSI. This study offers a comprehensive reference for future research on KS in the public sector and provides insights for policymakers to design initiatives that enhance organizational learning.
Exploring Enabling Factors of E-Recruitment Adoption in the Public Sector and Its Contribution to Public Value Creation Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Putro, Prasetyo Adi Wibowo; Wibowo, Wahyu Setyawan; Cahyaningsih, Elin
Journal of Information Systems Engineering and Business Intelligence Vol. 11 No. 2 (2025): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.11.2.200-214

Abstract

Background: E-recruitment systems are increasingly prevalent in the public sector to improve candidate outreach and enhance transparency. Despite their potential, users remain skeptical due to challenges such as recruitment fraud and limited system availability, especially in developing countries like Indonesia. Consequently, it remains unclear how much e-recruitment systems contribute to public value creation. This uncertainty is mainly because there is a lack of research that directly explores the relationship between these systems and public value creation in the public sector, especially in developing countries.  Objective: This research aims to examine the factors that influence the use of e-recruitment systems in the public sector and the impact into creation of public values.   Methods: This quantitative study collected data from 408 respondents via an online survey, all of whom had used Indonesian National Civil Service Agency's e-recruitment system. Data were analyzed using the Partial Least Square—Structural Equation Model (PLS-SEM) method.  Results: The study revealed that system, information, and service quality have a positive impact on perceived usefulness and perceived ease of use and have a positive impact on the use of the e-recruitment system. It also shows that the adoption of an e-recruitment system gives a positive impact on public value creation.  Conclusion: This research highlights the critical role of system information quality in fostering e-recruitment adoption and its positive impact on public value creation in the public sector. These findings enrich previous studies that have not yet explored the direct relationship between the use of e-recruitment systems and public value creation. Future research may investigate technological aspects, like artificial intelligence and virtual reality, that could enhance user experience and the adoption of e-recruitment systems in the public sector.  Keywords: E-recruitment, PLS-SEM, Information System Success Model, Technology Acceptance Model, Public Value Theory
Unveiling the Determinants of Knowledge Sharing and Their Impact on Service Innovation Performance in the Government Sector Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1204

Abstract

Knowledge sharing serves as a fundamental driver of organizational innovation, particularly in enhancing public service quality, yet remains significantly underutilized in government institutions. Many public sector organizations fail to recognize the value of knowledge sharing due to its perceived long-term benefits and the absence of concrete evidence demonstrating its measurable impact on service innovation performance. This study examines the driving factors of knowledge sharing and its impact on service innovation performance in government organizations. Data was collected through an online survey targeted at National Civil Service Agency (Badan Kepegawaian Negara or BKN) employees. A total of 465 responses were obtained, which analysed using partial least squares structural equation modeling (PLS-SEM). This study demonstrates that organizational, individual, and technological factors play a significant role in the implementation of knowledge sharing. Most importantly, the research provides empirical validation that knowledge sharing behavior directly and substantially enhance service innovation performance - a relationship previously overlooked in public sector studies. By expanding the theoretical framework of Planned Behavior to incorporate these organizational, individual, and technological dimensions, this study offers public administrators compelling evidence to prioritize knowledge sharing initiatives while providing scholars with a more holistic understanding of innovation mechanisms in government contexts. Future studies should explore additional factors beyond the Theory of Planned Behavior that influence knowledge sharing, as well as other knowledge management dimensions affecting service innovation. Further research could also investigate impacts of knowledge sharing beyond innovation performance, such as organizational resilience or employee well-being in public sector contexts.
Unveiling the Determinants of Knowledge Sharing and Their Impact on Service Innovation Performance in the Government Sector Rizky, Fajar; Altino, Iqbal Caraka; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 3 (September 2025): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i3.1204

Abstract

Knowledge sharing serves as a fundamental driver of organizational innovation, particularly in enhancing public service quality, yet remains significantly underutilized in government institutions. Many public sector organizations fail to recognize the value of knowledge sharing due to its perceived long-term benefits and the absence of concrete evidence demonstrating its measurable impact on service innovation performance. This study examines the driving factors of knowledge sharing and its impact on service innovation performance in government organizations. Data was collected through an online survey targeted at National Civil Service Agency (Badan Kepegawaian Negara or BKN) employees. A total of 465 responses were obtained, which analysed using partial least squares structural equation modeling (PLS-SEM). This study demonstrates that organizational, individual, and technological factors play a significant role in the implementation of knowledge sharing. Most importantly, the research provides empirical validation that knowledge sharing behavior directly and substantially enhance service innovation performance - a relationship previously overlooked in public sector studies. By expanding the theoretical framework of Planned Behavior to incorporate these organizational, individual, and technological dimensions, this study offers public administrators compelling evidence to prioritize knowledge sharing initiatives while providing scholars with a more holistic understanding of innovation mechanisms in government contexts. Future studies should explore additional factors beyond the Theory of Planned Behavior that influence knowledge sharing, as well as other knowledge management dimensions affecting service innovation. Further research could also investigate impacts of knowledge sharing beyond innovation performance, such as organizational resilience or employee well-being in public sector contexts.
Customer Knowledge Management Success Factors and Challenges in Service-Related Sectors: A Systematic Literature Review Larasati, Nurul Aulia; Andani, Monica Ratna; Safitri, Nadya; Sensuse, Dana Indra
Eduvest - Journal of Universal Studies Vol. 5 No. 10 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i10.52186

Abstract

Customer Knowledge Management (CKM) has become crucial for organizations in service-related sectors aiming to enhance customer satisfaction, loyalty, and overall performance through effective management of knowledge for, from, and regarding customers. However, implementing CKM presents both opportunities and significant hurdles. The purpose of this study is to provide an exhaustive understanding of these aspects by systematically reviewing recent literature to identify the critical success factors and key challenges associated with CKM implementation in service-related sectors. A systematic literature review (SLR) was conducted following established guidelines, searching major academic databases (Scopus, IEEE Xplore, ACM Digital Library, Taylor & Francis, ScienceDirect) for relevant studies published up to 2025. Following a rigorous screening and quality assessment process, 21 primary studies were selected for data extraction and synthesis. The findings reveal several key success factors categorized under Technology (e.g., CRM platforms, collaborative tools), Organization (e.g., top management support, customer-oriented culture, clear strategy), Human (e.g., employee skills, training, trust), and CKM Process (e.g., effective knowledge acquisition, sharing, application). Conversely, significant challenges identified include strategic issues (e.g., lack of clear objectives, difficulty measuring value), technological barriers (e.g., lack of appropriate technology, data integration issues), organizational and cultural resistance (e.g., lack of sharing culture), and human resource challenges (e.g., skill gaps, high turnover, knowledge hiding). This review consolidates current knowledge, offering valuable insights for practitioners seeking to navigate CKM implementation in service industries and providing directions for future research.
SEMAR v1.0: An AI-driven Conceptual Model and Architecture for Smart Government in Indonesia Using a Mixed-Methods Approach Arief, Assaf; Muhammad, Miftah; Fuad, Achmad; Sensuse, Dana Indra
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4996

Abstract

Building smart cities represents a national priority for Indonesia to enhance global competitiveness, with artificial intelligence (AI) driven smart government as a key enabler. However, implementation faces significant challenges including unmeasured organizational maturity, lack of service innovation, fragmented governance, and minimal citizen engagement leading to government institutions' failure in achieving smart city vision. This study aims to develop a holistic conceptual model to identify critical success factors and evaluate processes that integrate public services, fostering AI-driven smart government innovation at strategic level. This research employs mixed-methods exploratory sequential design combining qualitative techniques (Systematic Literature Review, expert interviews) with quantitative validation (citizen survey, statistical analysis). The model was constructed using Factor Analysis, Thematic Analysis, TOGAF framework, and multidimensional view with validation through triangulation, expert judgment, Focus Group Discussions, and statistical analysis. Results show a comprehensive model consisting of 6 dimensions, 17 key components, and 5-layer organizational architecture with high reliability (Cronbach's Alpha 0.709-0.866) and expert consensus (86% agreement in Fuzzy Delphi Method analysis). This framework, referred to as SEMAR v1.0 (Smart Government Nusantara), serves as a benchmark for assessing the maturity and readiness of local government institutions in Indonesia. It offers the potential to improve SPBE scores through systematic evaluation, while also providing a theoretical foundation for smart government scholarship and a practical blueprint for policy implementation.
Sentiment Analysis and Topic Modeling for Discovering Knowledge in Indonesian Mobile Government Applications Hamid, Ricky Bahari; Andriansyah, Chandra; Sensuse, Dana Indra; Lusa, Sofian; Elisabeth, Damayanti; Safitri, Nadya
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.4991

Abstract

The accelerated rate of government applications development in Indonesia has introduced new opportunities and challenges in delivering digital public services. While thousands of apps have been developed, systemic issues ranging from usability flaws to authentication failures persist, as reflected in user reviews on platforms like the Google Play Store. This study adopts a knowledge discovery approach to extract actionable insights from more than 17,000 user-generated reviews across three major government applications: Satusehat, Digital Korlantas, and M-Paspor. A hybrid methodology is applied, combining RoBERTa-based sentiment classification, BERTopic-based topic modeling, cosine similarity analysis, and qualitative user validation. The findings reveal recurring issues in authentication, interface design, and system responsiveness that span across organizational boundaries. Cross-app topic correlation highlights critical shared pain points such as login failures and unintuitive UI that undermine user trust in e-government services. Mapping these insights onto the SECI knowledge management model, this research contributes both practical recommendations and a replicable analytical framework for public agencies seeking to institutionalize user feedback. By transforming fragmented digital feedback into organizational knowledge, this study supports continuous service improvement and strengthens the foundation for user-centric e-government.
Faktor-faktor yang Memengaruhi Perilaku Knowledge Sharing di Kalangan Software Developer di Indonesia Ringgi Cahyo Dwiputra; Ariq Naufal Satria; Dana Indra Sensuse; Sofian Lusa; Damayanti Elisabeth
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4125

Abstract

Knowledge sharing is a crucial element for enhancing efficiency in the software development process. However, it proves to be a challenging and complicated task in practice, particularly due to the insufficient knowledge and experience of software developers. The aim of this research is to pinpoint key success factors in knowledge sharing behavior among software developers. Based on Social Cognitive Theory (SCT), the research divides components into three categories: behavioral, environmental, and personal. For a more complete picture, an additional organizational aspect is included. The partial least squares structural equation model was utilized to analyze the data collected from 198 software developers in Indonesia. The findings reveal that motivation, trust, social interaction, organizational culture, reward, and management support positively influence knowledge sharing behavior, while geographical distance has a negative impact. This research contributes by filling a gap in previous research that utilized SCT, broadening the model to identify determinant factors explaining knowledge sharing behavior within an organizational context.
Melihat lebih lanjut Knowledge Sharing pada Industri Pengembangan Perangkat Lunak: Sebuah Systematic Literature Review terhadap Faktor-Faktor yang mempengaruhi Knowledge Sharing dan Implementasi Praktisnya Ariq Naufal Satria; Ringgi Cahyo Dwiputra; Dana Indra Sensuse; Sofian Lusa; Damayanti Elisabeth
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4306

Abstract

In an organizational context, effective knowledge sharing can provide significant benefits to the organization. Efficient knowledge sharing can enhance the quality of individuals, thereby automatically improving the overall quality and performance of the organization. This process is particularly suitable for companies engaged in activities requiring complex knowledge, such as software development. However, to implement effective knowledge sharing, a company must possess strong internal capabilities. Furthermore, the forms of knowledge sharing implementation can vary depending on the organization. This research aims to identify the influencing factors of knowledge sharing along with their practical implementations within software development in general using systematic literature review. Several studies were obtained to answer the research questions. The results reveal those 40 distinct factors impacting knowledge sharing behavior individual, organizational, and technological aspects. Additionally, 16 different implementations of knowledge sharing were discovered, with knowledge repositories and meetings as the most common practices.
Solusi untuk Meningkatkan Knowledge Management Readness di Badan Pusat Statistik Kabupaten/Kota Permadi, Herlambang; Sensuse, Dana Indra
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 1: Februari 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022914918

Abstract

Reformasi Birokrasi (RB) adalah usaha yang ditegakkan pemerintah Indonesia dengan tujuan untuk menghadirkan tata kelola pemerintahan yang tepat. RB dilaksanakan oleh semua K/L/D/I termasuk BPS yang merupakan bagian dari instansi pemerintah Indonesia. Dalam mendukung penyelenggaraan RB, perlu mempertimbangkan penerapan disiplin Knowledge Management (KM) yang termaktub dalam rancangan besar Reformasi Birokrasi 2010-2025. Untuk itu perlu dilakukan pengukuran readiness (kesiapan) sebelum mengimplementasikan KM guna mendukung pelaksanaan RB. Penelitian ini dilakukan untuk mengetahui tingkat kesiapan Badan Pusat Statistik Kabupaten/Kota dalam melaksanakan KM, serta mendapatkan strategi implementasi KM yang tepat untuk menyelesaikan permasalahan dalam praktek implementasi RB. KM Readiness diukur dengan implikasi Critical Success Factor (CSF) yang diperoleh dari 8 Area Perubahan pada RB di BPS. Kuesioner penelitian disebarkan melalui media daring kepada pegawai yang bekerja di BPS daerah seluruh Indonesia. Hasil penelitian menunjukkan bahwa secara umum BPS Kabupaten/Kota sudah cukup siap dalam mengimplementasikan KM untuk guna mendukung praktek RB. Namun ada 2 faktor yang dinilai masih perlu diperhatikan yaitu beban kerja yang berlebihan dan pemetaan pegawai yang belum efektif. Dari hasil analisis tersebut diusulkan suatu tools sebagai rekomendasi untuk menyelesaikan masalah tersebut, yaitu perancangan aplikasi sensus/survei secara daring guna membantu mengurangi beban kerja dan sistem rekomendasi penempatan pegawai menggunakan Analytical Hierarchy Process (AHP) guna membantu pemetaan pegawai yang efektif. AbstractBureaucratic reform (RB) is an effort made by the Indonesian government to realize a good governance. RB is implemented by all ministries, agencies, and local governments, including BPS-Statistics, which is part of the Indonesian government. In supporting the implementation of RB which necessary to implement knowledge management (KM), as stated in the 2010-2025 Bureaucratic Reform grand design. For this reason, readiness measurement needs to be done before implementing KM to support the implementation of RB. The research was conducted to measuring the readiness level of BPS-Statistics of Regency/Municipality in implementing KM, as well as obtaining the right KM implementation strategy to solve problems in RB practices. KM readiness is measured by the Critical Success Factor (CSF) obtained from 8 areas of change in the BPS RB. The questionnaire was distributed through online media to employees who were worked in BPS-Statistics of Regency/Municipality throughout Indonesia. The results show that in general, BPS-Statistics of Regency / Municipality is quite ready to implement KM for supporting RB practices. However, there are 2 factors that are considered still need improvement, namely the excessive workload and ineffective employee mapping. From the results of this analysis, a tool design was proposed as a recommendation to solve these problems, including an online survey system environment to help reduce workloads, and an employee placement recommender system using Analytical Hierarchy Process (AHP) to assist employee mapping.
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