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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 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 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 Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Kilat Jurnal Informatika Global Jurnal Teknologi Terpadu Jurnal ICT : Information Communication & Technology MULTINETICS Jurnal Mantik 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 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 Makara Journal of Technology Jurnal Indonesia Sosial Teknologi Proceeding of International Conference Health, Science And Technology (ICOHETECH) Eduvest - Journal of Universal Studies Telematika MKOM Ranah Research : Journal of Multidisciplinary Research and Development Jurnal Informatika Ekonomi Bisnis Jurnal Sistem Informasi 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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Knowledge Capture in Agile Organizations: Methods and Strategies for Enhancing Effective and Efficient Process Pratiwi, Maharani Eka; Ramadhan, Yudistira; Sensuse, Dana Indra; Lusa, Sofian; Safitri, Nadya; Elisabeth, Damayanti
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1164

Abstract

The competitive landscape of modern organizations relies on efficient knowledge utilization and management, underscoring the crucial role of knowledge capture in effective Knowledge Management (KM). This study explores the relationship between knowledge capture, organizational agility, and employee proficiency within KM, pinpointing critical gaps in understanding the optimal utilization of knowledge capture methods within agile-based setups. By addressing these gaps, the study aims to identify effective knowledge capture methods and propose strategies for their seamless integration into agile organizations. The research investigates five hypotheses, affirming the positive impacts of expert interviews, focus groups, interviews, surveys, and questionnaires on the efficiency and effectiveness of knowledge capture processes in agile contexts. Utilizing a mixed-method approach, this study evaluates qualitative and quantitative data derived from interviews and questionnaires. The results highlight the importance of various knowledge capture methods in augmenting the efficiency and efficacy of the knowledge capture process. Additionally, the study outlines implementation strategies customized for each method's application within agile-based organizations. The objective of this research is to provide practical solutions that narrow the disparity between the potential of knowledge capture and the particular needs of agile setups.
Analyzing Important Knowledge Management Sub-Processes, Mechanisms, and Technologies in PT XYZ using Contingency View of Knowledge Management Astrianty, Rani Aprilia; Sensuse, Dana Indra; Imanuddin, Kamila Alifia
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1181

Abstract

In the current competitive business landscape, having knowledge is crucial for gaining a competitive advantage, particularly in service-oriented firms where it significantly enhances organizational capabilities. However, effectively implementing knowledge management presents challenges for companies, as demonstrated by PT XYZ. The main challenges faced by PT XYZ include insufficient information dissemination among departments, complexities in accessing crucial business process information, resulting low level of employee knowledge, contributing to operational inefficiencies. By applying contingency factors theory, this study aims to prioritize essential KM processes at PT XYZ and recommend appropriate KM mechanisms and technologies for implementationThe research, which draws on interviews with three employees, finds that socializing for knowledge exchange is the most important knowledge management subprocess. Face-to-face meetings and on-the-job training serve as the main methods of instruction, while computer-based simulations are used as a supporting tool. Direction, socialization for knowledge discovery, and combination are more knowledge management subprocesses that can be added later to enhance KM procedures at PT XYZ.
Analysis of Critical Success Factors for KM Foundation in a Consulting Company Tanjung, Aldiyan Muhammad; Sensuse, Dana Indra
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1182

Abstract

In the business world, Knowledge Management (KM) is increasingly recognized as a crucial factor for organizational success, especially within consulting firms. This research investigates the Critical Success Factors (CSFs) necessary for the effective implementation of KM in consulting firms. Faced with the complexities and challenges of a dynamic business environment, where efficient KM is vital for delivering high-quality services, this study conducts a thorough review of the CSFs related to KM foundations in consulting firms. The aim is to identify the CSFs essential to KM foundations. Using a Systematic Literature Review (SLR) based on the PRISMA methodology, the study synthesizes findings from five databases. From an initial pool of 1,173 papers, the selection was narrowed down to 20 papers with the most relevant content for analysis, detailing the CSFs essential to KM foundations. These factors are categorized into several dimensions, including technology, strategy, leadership, organizational culture, and regulatory policies, each contributing uniquely to the effective implementation of KM in consulting firms.
Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning Ferdian Maulana Akbar; Robby Hermansyah; Sofian Lusa; Dana Indra Sensuse; Nadya Safitri; Damayanti Elisabeth
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 3: Juni 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.938663

Abstract

Motor XYZ mengeluarkan inovasi rangka motor yang diperkenalkan pada tahun 2019. Sekitar Agustus 2023, beredar rumor di media sosial yang menyatakan bahwa rangka tersebut mengalami karat, korosi, dan retak, menyebabkan kekhawatiran di kalangan masyarakat yang tentunya hal ini berpotensi merugikan reputasi merek XYZ. Sasaran utama dari studi ini adalah mengevaluasi pandangan masyarakat di platform Twitter pada Motor XYZ, khususnya pada perbincangan seputar isu rangka motor. Data yang digunakan merupakan data yang diambil teknik crawling dengan periode tweets dari Agustus hingga November 2023. Penelitian ini akan memanfaatkan analisis sentimen menggunakan word cloud, analisis tren dan distribusi, dan pembandingan lima algoritma machine learning, yakni Naïve Bayes, Decision Tree, Support Vector Machine, Logistic Regression, dan Random Forest. Penelitian ini bertujuan untuk mengidentifikasi algoritma dengan performa terbaik untuk mengategorikan tweets dan memberikan rekomendasi kepada Motor XYZ terkait reputasi merek dalam hubungannya dengan isu rangka motor. Hasil penelitian menunjukkan bahwa model klasifikasi sentimen dengan kinerja terbaik setelah hyperparameter tuning adalah Random Forest, dengan F1 score sebesar 0,765. Selain itu, rekomendasi yang dapat diberikan adalah meningkatkan kesadaran tentang pemeriksaan rangka gratis karena telah terbukti berdampak positif pada sentimen masyarakat di Twitter. Perlu ditekankan bahwa dalam penelitian ini tidak ada pertimbangan terhadap proses deployment model machine learning dan pembuatan dashboard. Selain itu, penelitian ini tidak menangani analisis reputasi atau sentimen merek di platform media sosial lain seperti TikTok atau Instagram.   Abstract Motor XYZ introduced an innovative motorcycle frame in 2019. In August 2023, rumors began circulating on social media that these frames were experiencing rust, corrosion, and cracks. This caused public concern and potentially harmed the XYZ brand's reputation. This study aims to evaluate public opinion on Twitter regarding the motorcycle frame issue. Data was collected using crawling techniques from tweets posted between August and November 2023. We used sentiment analysis with word clouds, trend and distribution analysis, and compared five machine learning algorithms: Naïve Bayes, Decision Tree, Support Vector Machine, Logistic Regression, and Random Forest. The goal was to identify the best algorithm for categorizing tweets and provide recommendations to Motor XYZ about their brand reputation concerning the frame issue. Results showed that the Random Forest model, after hyperparameter tuning, had the best performance with an F1 score of 0.765. This study recommend increasing awareness about free frame inspections, as this positively impacted public sentiment on Twitter. Note that this study does not include the deployment process of the machine learning model or dashboard creation, nor does it address brand reputation or sentiment analysis on other social media platforms such as TikTok or Instagram.
Key Factors of Urban Public Transportation Services Implementation in Indonesia: A Knowledge Management Perspectives Adhitama, Raihansyah Yoga; Giffari, Rafi; Sensuse, Dana Indra; Eitiveni, Imairi; Hidayat, Deden Sumirat; Indria, Sofi
Journal La Multiapp Vol. 5 No. 5 (2024): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v5i5.1481

Abstract

It is well-recognized that the availability of public transportation has a significant impact on urban transportation networks. In Indonesia, the government is still having difficulties to establish a reliable public transportation system. One important aspect that can be utilized in establishing a reliable public transportation system is to utilize knowledge management in its services. This study aims to identify key factors from knowledge management perspectives related to the implementation of public transportation services. To achieve this objective, this study conducted qualitative research on 12 users of public transportation services in Indonesia. The results of this study indicate that there are several key factors related to the implementation of public transportation services from knowledge management perspectives, such as Real-Time Information, Digital Accessibility, User Engagement and Trust, Platform Functionality and Quality, Digital Inclusive Strategy, Knowledge Dissemination Method, Help Desk Reliability, and Knowledgeable Officer.
The Identifikasi Tren Risiko Keamanan Siber dan Mitigasinya dalam Pembangunan Smart city: Identifikasi Tren Risiko Keamanan Siber dan Mitigasinya dalam Pembangunan Smart city Adi Pratama, Yoga; Dana Indra Sensuse; Franky Juhar
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4524

Abstract

Pembangunan smart city Ibu Kota Nusantara (IKN) menghadirkan tantangan baru dalam menjaga keamanan siber. Penelitian bertujuan untuk mengidentifikasi tren risiko keamanan siber sekaligus mitigasi risiko keamanan siber pada smart city dengan menggunakan metodologi Systematic Literature Review (SLR). Framework TOE (Technology, Organization, Environtment) digunakan untuk menghasilkan daftar risiko keamanan siber yang komprehensif berdasarkan kategori teknologi, organisasi, dan lingkungan. Hasil penelitian menunjukkan terdapat 58 risiko keamanan siber yang didominasi oleh risiko keamanan siber teknologi yaitu 81%. Mitigasi risiko keamanan siber dikelompokkan juga berdasarkan kategori teknologi, organisasi dan lingkungan. Standar internasional ISO 27002: 2022 digunakan sebagai metode validasi kontrol keamanan atas mitigasi risiko yang diidentifikasi sebagai bentuk best practice. Hasil penelitian ini memberikan rekomendasi kepada pemerintah dalam menyusun kebijakan keamanan dengan mendorong penggunaan kriptografi secara efektif, menyelaraskan dengan standar kebijakan yang aman dan audit berkala, serta selalu meningkatkan kualitas SDM keamanan siber sehingga dapat membantu pengembangan smart city IKN yang aman dan berkelanjutan.
Designing a Knowledge-Based Chatbot to Elevate Business Licensing Services in Indonesia Husain, Husain; Ridwan Afandi; Dana Indra Sensuse; Sofian Lusa; Nadya Safitri; Damayanti Elisabeth
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 5 (2024): October 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i5.6069

Abstract

The business licensing process in Indonesia often faces several challenges, including lack of information, unstable system, complicated procedure, and slow response to complain. These issues can hinder economic growth and limit access for businesses. This research aims to design a knowledge-based chatbot to elevate business licensing services in Indonesia. The proposed chatbot will utilize natural language processing (NLP) technology and a structured knowledge base to provide accurate information, assist in form filling, and offer step-by-step guidance to users. This research employes a User-Centered Design (UCD) approach to ensure that the developed chatbot meets the needs and preferences of its users. The research stages involve user requirements analysis, UML design, system design, and iterations based on feedback obtained. Data will be collected through questionnaires, interviews, and literature studies. Leveraging the proposed architecture, we demonstrate how the resulting knowledge-based chatbot is expected to enhance business licensing services. The findings identified 8 key features expected in the chatbot, including real-time information access, problem reporting, business licensing guidance, a tracking system, personalized simulation, a feedback mechanism, multilingual support, and the ability to connect with a contact center agent. By implementing these features, the proposed chatbot is anticipated to significantly reduce processing times, streamline user interactions, and enhance user satisfaction by providing real-time assistance and reducing errors in form submissions. This will contribute to a more efficient licensing process, fostering economic growth and improving the business environment in Indonesia.
Challenges and Technology Trends in Implementing a Human Resource Management System: A Systematic Literature Review Destriani, Rahma; Adhitama, Raihansyah Yoga; Sensuse, Dana Indra; Hidayat, Deden Sumirat; Purwaningsih, Erisva Hakiki
Journal of Information Systems Engineering and Business Intelligence Vol. 10 No. 3 (2024): October
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.10.3.355-367

Abstract

Background: Human Resource Management System (HRMS) is an important aspect of managing organizations. However, the successful integration of the system into respective roles is often associated with diverse technological challenges and trends. Some major obstacles identified in recent research include reluctance to change, lack of training, fragmented Human Resource (HR) data, rigid processes, and continuous changes in organizational needs. Exciting technology trends offer promise for next-generation HRMS solutions, including artificial intelligence (AI), machine learning, predictive analytics, and mobile accessibility. This shows the need for a systematic literature review to comprehensively map the challenges and technology trends shaping the implementation of HRMS. Objective: This research aimed to conduct a comprehensive review of existing literature to identify the main challenges faced during HRMS implementation and the latest technology trends in the space. Methods: A systematic literature review was adopted through the Kitchenham method with a focus on five databases including Scopus, Emerald, IEEE, Science Direct, and ProQuest. Results: The result was in the form of a table mapping of the challenges faced by each stakeholder in HRMS, including resistance to change, lack of management support, and limited technology infrastructure. Meanwhile, the most common technology challenges found were system integration issues, data security, and lack of technical capabilities or skills. The potential opportunities from technology trends to address the issues included training and skills development, enhanced cybersecurity, and effective change management methods. These recommendations were designed to support organizations in further optimizing HRMS utilization and leveraging the latest technologies such as AI and blockchain. Conclusion: The review used a structured method to develop a rich overview through tabular presentations summarizing problem identification and technology trend compilation of HRMS. The systematic exploration aimed to contribute valuable insights into the complexities of HRMS implementation and offer a comprehensive perspective on the emergence of relevant technology trends. The results were expected to contribute to future research directions in this important area at the nexus of Human Resource Management (HRM) and technological innovation.   Keywords: Human Resource Management System, Challenges, Technology Trends, Systematic Literature Review
Researchers’ self-archiving behavior towards open-access institutional repositories Prastowo, Rahardito Dio; Saputro, Singgih Dwi; Sensuse, Dana Indra; Lusa, Sofian; Putro, Prasetyo Adi Wibowo; Indriasari, Sofiyanti
Jurnal Kajian Informasi dan Perpustakaan Vol 12, No 2 (2024): Accredited by Ministry of Education, Culture, Research and Technology of the Re
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jkip.v12i2.54620

Abstract

The success of open-access repositories depends heavily on researchers’ willingness to disseminate their research through self-archiving. Previous studies indicated that lack of self-archiving was a major obstacle to the success of institutional open-access repositories. This study aimed to identify factors influencing researchers' behavior in self-archiving. The analysis examined the influence of repository performance expectations, effort expectations, social influence, and facilitating conditions on researchers' self-archiving intentions and behavior. The study also explored the moderating role of demographic factors such as gender, age, and experience in the relationship between the analyzed factors and self-archiving intentions and behavior. Furthermore, this study also revealed the direct impact of regulatory awareness and research discipline on self-archiving intentions and behavior. The research findings showed that social influence significantly affected researchers' intentions to self-archive while facilitating conditions had a substantial impact on self-archiving behavior. Additionally, demographic variables, such as gender, age, and experience, were found to moderate the effects of social influence on behavioral intention, while awareness of regulations contributed directly to self-archiving behavior. These findings highlight the importance of strengthening social influence, providing adequate supporting conditions, and implementing supportive policies and regulations to enhance researchers' self-archiving behavior in open-access institutional repositories.
Perceptions of the Use of Quick Response Code Indonesian Standard (QRIS) for Payment and its Impact on Consumer Behavior Wirabuana, Cakra; Marbanie, Ridwan; Sensuse, Dana Indra; Sumirat Hidayat, Deden; Purwaningsih, Erisva Hakiki
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.
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 Ajie Tri Hutama Akbarsyah Anza, Fikri Akhsan, Rivaldi Rizalul Alfiani, Husna Altino, Iqbal Caraka Alusi, Fahmi Amastini, Fitria Andani, Monica Ratna Anditama, Muhammad Rizky Andriansyah, Chandra Ansis, Ronny Aprilia, Relaci 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 Baskoro, Aji Basnur, Prajna Wira Binsar Tampahan Binsar Tampahan Binsar Tampahan Brillianto, Bramanti Budi, Nur Fitriah Ayuning Cahyaningsih, Elin Damayanti Elisabeth Damayanti Elisabeth Damayanti Elisabeth Darmawan Baginda Napitupulu Darmawan Napitupulu 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 Dwi Handoko Dwi Handoko Dwi Handoko Dwi Handoko Edi Abdurachman Ekawati, Rika El Farisi, Salman Elin Cahyaningsih Elin Cahyaningsih Elisabeth, Damayanti Elkaf Fahrezi Soebianto Putra 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 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 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 Jallow , Fatoumatta Binta Jani Richi R. Siregar Jeffry Adityapriatama Jonathan Sofian Lusa Jonathan Sofian Lusa Jonathan Sofian Lusa Juraida, Erni Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kautsarina Kristian, Natalia Kurniawan, Shabrina Salsabila Larasati, Nurul Aulia Lathiful Alamsyah Lenggo Geni Lia Ellyanti Louis Dwysevrey Ompusunggu Lusa, Sofian Lusa, Sofian Lusi Fajarita Maharani, Nandhita Zefania Marbanie, Ridwan 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, 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 Nur Chasanah Nur Chasanah Nur Chasanah Nur Chasanah Nur Fitriah Ayuning Budi 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 Putro Prasetyo Adi Wibowo, Prasetyo Adi Prastowo, Rahardito Dio Pratiwi, Maharani Eka Prayoga, Sigit Hadi Prihantara Arif Budi Santosa Prima, Pudy Puji Rahayu Puji Rahayu Purwaningsih, Erisva Hakiki Purwaningsih, Erisvaha Kiki Purwasih, Nurzaitun Putra Tresna Linge Putra, Dion Lamilga Sudiono Putra, Risma Bayu Putro , Prasetyo Adi Wibowo Putro, Prasetyo Adi Wibowo R. Sapto Hendri Boedi Soesatyo Rabiah Al Adawiyah Rahmat Nurcahyo Rahmat Nurcahyo Ramadhan, Yudistira Rani Aprilia Astrianty Rendra Gustriansyah Rian Rahmanda Putra Rias Kumalasari Devi Richi R. Siregar, Jani Ridho, M. Mushlih Ridwan Afandi Rina Rahmawati, Rina Ringgi Cahyo Dwiputra Rini Muliahati Risma Bayu Putra Risma Bayu Putra Risma Bayu Putra 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 . 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 Slamet Darmawan Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofian Lusa Sofiyanti Indriasari Sudarto, Reska Nugroho Suhaidir, Wiliam Sukmiati, Dieny Sumirat Hidayat, Deden Sutoyo, Mochammad Arief Hermawan Suwardiman, Suwardiman Suwiyanto, Viktor Syarifah Hanum Tambunan, Ester Marta Tampahan, Binsar Tanjung, Aldiyan Muhammad Tinny D Kaunang Tokuro Matsuo Triyono, Gandung Tsaqif Alfatan Nugraha Ummi Azizah Rachmawati Wahab, Iis Hamsir Ayub Wanda Kinasih Warkim Warkim Warkim Warkim, Warkim Wendy Nur Falaq Wendy Nur Falaq 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 Yulianingsih Yulianingsih