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Analysis of Factors that Influence the Acceptance of Using Online Retail Applications: A Case Study of XYZ Wholesale and Retail Stores Inayah, Suci -; Sensuse, Dana Indra; Lusa, Sofian
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 1 (2024): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i1.2051

Abstract

E-commerce users in Indonesia continue to increase along with advances in digitalization. This causes a trend to occur where many offline shop entrepreneurs are responding to changes in consumer behavior by creating online shopping applications to maintain the existence of their business to be consistent with time progress. The purpose of this research is to find out what factors affect user acceptance of online retail applications used for online shopping at XYZ stores using the UTAUT2 acceptance model. In line with changes, case studies were conducted on grocery stores and retail stores that carried out digital innovation by creating online retail applications for their consumers. The research was conducted using a mixed method, data was collected through interviews with sources and using a questionnaire spread to 149 research sample consumers. The data processing technique uses PLS-SEM with SmartPLS tools. The research results show that 4 factors influence the use of online retail applications, including hedonic motivation, habit, behavioral intention, and application use. The results of this research can be used as material for management considerations to increase the excellence of the application so that user interest in online shopping using the application at XYZ store increases
Investigating E-Government Adoption: The Intention to Use MyASN Application by Indonesian National Civil Service Agency (NCSA) Aditya, Silfa Kurnia; Alfiani, Husna; Sensuse, Dana Indra; Lusa, Sofian; Putro, Prasetyo Adi Wibowo; Indriasari, Sofianti
Journal of Government and Civil Society Vol 8, No 1 (2024): Journal of Government and Civil Society (April)
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jgcs.v8i1.10890

Abstract

This study investigates the implementation of e-government initiatives in Indonesia, specifically focusing on the MyASN application designed for civil servants. Despite the introduction of MyASN, challenges persist in terms of user acceptance, and its complete utilization among civil servants throughout Indonesia is yet to be achieved. The primary goal of this research is to comprehensively identify the factors influencing the adoption of MyASN among civil servants using Unified Theory of Acceptance and Use of The Technology (UTAUT) conceptual model. The target population is respondents who use the MyASN application. The target population is respondents who use the MyASN application. This research obtained a total of 182 respondents who filled out the questionnaire via Google Forms, which were then analyzed using the Structural Equation Model (SEM) approach with SmartPLS software. The findings highlight that behavioral intention, performance expectation, and social influence are factors influencing users' intention to use the My-ASN application. On the other hand, effort expectancy and facilitating condition don’t affect users' intention and behavior in adopting MyASN. Furthermore, concerning moderating variables, only working experience and voluntariness of use influence user behavior, although their impacts are not very significant. Penelitian ini mengkaji terkait implementasi e-government di Indonesia, khususnya berfokus pada aplikasi MyASN yang dirancang untuk Aparatur Sipil Negara (ASN). Meskipun aplikasi MyASN ini telah disosialisasikan, namun pada implementasinya masih terdapat tantangan dalam penerimaan penggunanya dan pemanfaatannya yang belum maksimal di kalangan ASN di seluruh Indonesia. Tujuan utama dari penelitian ini adalah mengidentifikasi faktor apa saja yang mempengaruhi niat pengguna untuk menggunakan aplikasi MyASN menggunakan metode UTAUT (Unified Theory of Acceptance and Use of The Technology). Target populasi adalah responden yang menggunakan aplikasi MyASN. Penelitian ini memperoleh sebanyak 182 responden yang mengisi kuisioner melalui Google Forms, kemudian dilakukan analisis menggunakan pendekatan SEM (Structural Equation Model) dengan perangkat lunak SmartPLS. Temuan penelitian ini menjelaskan bahwa behavioral intention, performance expectation, dan social influence merupakan faktor yang mempengaruhi niat pengguna dalam menggunakan aplikasi My-ASN. Disisi lain, effort expectancy dan facilitating condition tidak mempengaruhi niat dan perilaku pengguna dalam mengadopsi MyASN. Selain itu, pada moderating varible, hanya working experience dan voluntariness of use yang mempengaruhi perilaku pengguna, meskipun dampaknya tidak terlalu signifikan.
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.
Factors Influencing the Adoption of Multi Factor Authentication in the Public Sector: A Case Study of Indonesia National Single Window Agency Purnomo, Dencaswo; Ghaisani, Amanda; Sensuse, Dana Indra; Lusa, Sofian; Ramlan, Nurcholis; Indrawati, Nur
The Indonesian Journal of Computer Science Vol. 15 No. 2 (2026): 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.v15i2.5091

Abstract

This study aims to examine the factors that influence the intention and actual use of Multi-Factor Authentication (MFA) in the National Single Window Agency (LNSW). The research model integrates the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) with the addition of the Perceived Security (PS) construct. Data were collected from employees and vendor teams at the LNSW and analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The results show that Perceived Ease of Use (PEOU) and Social Influence (SI) have a positive and significant effect on Behavioral Intention (BI). In addition, Perceived Security (PS) does not have a direct effect on Behavioral Intention, but it has a significant positive effect on Perceived Usefulness (PU). Other findings show that Behavioral Intention (BI) is a strong predictor of Actual Usage (AU) of MFA. These results confirm the relevance of the TAM and UTAUT models in explaining the adoption of security technology in the public sector, and emphasize the importance of ease of use and organizational influence in encouraging the adoption of MFA
Co-Authors Abdullah, Puja Putri ACHMAD FUAD Ade Fitria Lestari Adhitama, Raihansyah Yoga Adi Pratama, Yoga Adi Suryaputra Paramita Aditya, Silfa Kurnia Afifah Nefiratika Agnes Agnes Ahmad Jurnaidi Wahidin Aji Baskoro Ajie Tri Hutama Akbarsyah Anza, Fikri Alfiani, Husna Altino, Iqbal Caraka Alusi, Fahmi Amastini, Fitria Anditama, Muhammad Rizky Andriansyah, Chandra Ansis, Ronny 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 Cahyaningsih, Elin Cakra Wirabuana Cakra Wirabuana Damayanti Elisabeth Damayanti Elisabeth 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 Hidayat, Deden Sumirat 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 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 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 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 Gesi Deta Hendika Wardani 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 Iindra Iriyanti Iklima Ermis Ismail Imairi Eitiveni Imairi Eitiveni Imanuddin, Kamila Alifia Inayah, Suci - Indra, Muhammad Nadhirsyah Indria, Sofi Indriasari , Sofiyanti Indriasari, Sofianti Irni Irmayani Isnina Eva Hidayati Iwan Juniar Simanjutak Jallow , Fatoumatta Binta Jani Richi R. Siregar Jeffry Adityapriatama Jonathan Sofian Lusa Jonathan Sofian Lusa Jonathan Sofian Lusa Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Khalid Jasir Krisanto Abilowo 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 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 Monica Ratna Andani Muhamad Adhytia Wana Putra Rahmadhan Muhammad Fadhiel Alie Muhammad Farid Fadhlan 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 Nefiratika, Afifah Ni Wayan Trisnawaty Novia Agusvina Nur Chasanah Nur Chasanah Nur Chasanah Nur Chasanah Nur Fitriah Ayuning Budi Nur Indrawati Nur Indrawati, Nur Nurcholis Ramlan Nurcholis Ramlan Nurul Aulia Larasati Nurzaitun Purwasih Nurzaitun Purwasih Nurzaitun Purwasih 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, 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 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 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 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 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 Sofian Lusa Sofianti 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 Tommy Putra Pratama Gunawan 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 Yaziji, Warda Yolanda Yosephine Zebua Yudho Giri Sucahyo Yudho Giri Sucahyo Yulia Kurniawati Yulianingsih Yulianingsih