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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Edutech Techno.Com: Jurnal Teknologi Informasi Syntax Jurnal Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) JDM (Jurnal Dinamika Manajemen) Jurnal Teknik Elektro Jurnal Informatika Jurnal Penelitian Ekonomi dan Bisnis Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal of Educational Science and Technology Scientific Journal of Informatics POSITIF ANDHARUPA CESS (Journal of Computer Engineering, System and Science) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal Informatika Upgris JOIN (Jurnal Online Informatika) Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer International Journal of Artificial Intelligence Research Creative Information Technology Journal SISFOTENIKA Jurnal Administrasi Publik : Public Administration Journal Emerging Science Journal JURNAL MEDIA INFORMATIKA BUDIDARMA CogITo Smart Journal Jurnal Teknoinfo Technomedia Journal ILKOM Jurnal Ilmiah Journal of Education Technology Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) CSRID (Computer Science Research and Its Development Journal) CCIT (Creative Communication and Innovative Technology) Journal SENSITEK ADI Journal on Recent Innovation (AJRI) Journal of Innovation and Future Technology (IFTECH) ICIT (Innovative Creative and Information Technology) Journal Journal Sensi: Strategic of Education in Information System CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Computer Science and Information Technologies Journal of Innovation in Educational and Cultural Research ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Journal of Applied Data Sciences IAIC Transactions on Sustainable Digital Innovation (ITSDI) International Journal of Engineering, Science and Information Technology Jurnal Manajemen Retail Indonesia (JMARI) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) MAVIB Journal : Jurnal Multimedia Audio Visual and Broadcasting Automotive Experiences International journal of education and learning Jurnal Dinamika Informatika (JDI) International Journal of Cyber and IT Service Management (IJCITSM) Startupreneur Business Digital (SABDA Journal) Media Riset Akuntansi Auditing & Informasi Universal Raharja Community (URNITY Journal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi SATIN - Sains dan Teknologi Informasi Jurnal Sistem Informasi International Transactions on Education Technology (ITEE) Nusantara Journal of Computers and its Applications Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Jurnal ilmiah teknologi informasi Asia Journal of Computer Science and Technology Application Journal of Digital Market and Digital Currency International Journal Research on Metaverse Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Untung Rahardja
Universitas Raharja
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Blockchain Innovation: Current and Future Viewpoints for the Travel Industry Untung Rahardja; Qurotul Aini; Sabda Maulana
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 1 (2021): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i1.499

Abstract

Disintermediation of the travel industry in the modern area has the most powerful and successful innovation, obviously with the assistance of Blockchain innovation. The market structure has changed since the appearance of online travel planners. Determined to improve the system for the travel industry that as of now depends on this blockchain innovation, for which the reason for this paper was made, a subjective strategy with semi-organized meetings appears to be appropriate to decide the ideal use to draw out the fundamental capability of this blockchain innovation for the business. the travel industry as per specialists. From the consequences of meetings led just as from the aftereffects of considering the impact of blockchain on business, it tends to be inferred that blockchain innovation is a fitting new advance as far as restricting and forbidding new go betweens in the entrance of the travel industry, subsequently it will prompt the vanishing of go-betweens from the travel industry market and an increment in the framework straightforward that everybody knows.
An Exhaustive Analysis of Stress on Faculty Members Engaged in Higher Education Bist, Ankur Singh; Rawat, Bhupesh; Rahardja, Untung; Aini, Qurotul; Prawiyogi, Anggy Giri
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 2 (2022): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i2.533

Abstract

Higher education is the face of innovation for any country. The quality and dedication of professors help to maintain quality in this process. With time, parameters were raised to check the quality of professor attributes. In this paper, we discuss all possible parameters taken by universities to evaluate faculty performance. Gradually it grew overhead pressure on professors and impacted the teaching-learning process. Our paper focused on stress parameters with possible solutions for the same issue. The process consists of several parameters to evaluate an employee's performance, such as no publications in conferences and journals, no patents filed, additional responsibilities performed, other qualifications achieved, result in the analysis of courses taught, etc. Still, it also puts a lot of pressure on both of them because they have to balance all this extra work and teaching. This paper focuses on different faculty assessment parameters and their impact on the faculty teaching-learning process. We also propose possible solutions on how this stress can be alleviated, and the existing strategy can be simplified.
Blockchain Education: as a Challenge in the Academic Digitalization of Higher Education Rahardja, Untung
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 4 No 1 (2022): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v4i1.571

Abstract

Over time, there haven't been many significant challenges to the higher education model. Even if the organization of lectures and learning experiences has changed due to the incorporation of increasingly sophisticated technologies, study themes are still evolving. The work being given here is an analysis of blockchain technology and its potential applications in the field of education, with a focus on the potential for upending the current value chain of academic institutions. Institutions act as central authority for providing and approving student knowledge as well as as a bridge between professors and those who would benefit from it (students). The main advancement of blockchain technology is the unbreakable digital transaction ledger, which can record almost any type of value exchange. They open up new possibilities when paired with other cutting-edge technologies like the internet of things and big data. They provide new opportunities for the decentralized sharing of education and the recording of knowledge and skills when paired with other cutting-edge technologies, such as the internet of things and big data. The end results include a thorough examination of the advancement of blockchain technology for educational purposes and a forecast of potential disruptions for educational institutions. There are currently apps targeted at decentralizing educational institutions using blockchain technology, which is developing at an ever-increasing rate. In the interim, a wider group of adepts continue to adopt the technique.
Leveraging IPFS to Build Secure and Decentralized Websites in the Web 3.0 Era Maulana, Imam Ryan; Rahardja, Untung; Azizah, Nur; Rakhmansyah, Mohamad; Komara, Maulana Arif
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.700

Abstract

In recent years, Web 3.0 has gained significant attention due to its potential to create a more secure and decentralized internet. The background of this research lies in the growing demand for data privacy and security, which traditional Web 2.0 platforms fail to provide.The objective of this study is to explore how IPFS (InterPlanetary File System) can be leveraged to build decentralized websites that prioritize security and user privacy in the Web 3.0 ecosystem. The method involves a qualitative approach, including a case study where IPFS is utilized to develop a decentralized website, followed by a series of performance and security tests. The performance tests revealed that IPFS-based websites achieved a 99.2% uptime compared to 96.5% in traditional websites, and reduced server failure rates by approximately 35%. These quantitative results confirm that IPFS provides higher resilience against data breaches and server failures while reducing reliance on single points of failure. The conclusion drawn from this research indicates that IPFS is a promising technology for developing secure, decentralized websites in the Web 3.0 era, offering an enhanced user experience with improved privacy, data security, and scalability. The findings suggest that adopting IPFS for web development could pave the way for the next generation of decentralized applications, contributing to the ongoing transformation of the internet.
Evaluating the Effectiveness of Digital Marketing Campaigns through Conversion Rates and Engagement Levels Using ANOVA and Chi-Square Tests Rahardja, Untung; Aini, Qurotul
Journal of Digital Market and Digital Currency Vol. 2 No. 1 (2025): Regular Issue March
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jdmdc.v2i1.27

Abstract

This study investigates the effectiveness of various digital marketing campaign types—Awareness, Conversion, and Retention—on conversion rates and engagement levels. Using a dataset of 8,000 records, we conducted a comprehensive analysis through ANOVA, Chi-Square tests, and OLS regression to understand the impact of these campaign types. The ANOVA results indicated no significant differences in conversion rates across the campaign types, with an F-statistic of 0.4752 and a p-value of 0.6218. Similarly, the analysis for engagement levels, measured by website visits, yielded an F-statistic of 0.3651 and a p-value of 0.6942, suggesting no significant differences among the campaigns. Despite these findings, the Chi-Square test revealed a significant association between campaign types and conversion outcomes, with a Chi-Square statistic of 84.4544 and a p-value of approximately 3.3983e-18. This suggests that while the overall conversion rates do not differ significantly, the type of campaign does influence whether conversions occur. Pairwise t-tests supported these results, showing no significant differences in conversion rates or engagement levels between specific pairs of campaign types. Further, OLS regression analysis for conversion rates resulted in an R-squared value of 0.001 and a non-significant F-statistic, indicating that the predictors such as AdSpend and ClickThroughRate do not significantly explain the variation in conversion rates. Similarly, the regression model for engagement levels, despite an R-squared value of 1.000, highlighted issues of multicollinearity and overfitting. These findings imply that simply altering the type of campaign may not substantially impact conversion rates or engagement levels. Marketers should focus on improving content quality, targeting precision, and user experience to enhance campaign effectiveness. Future research should incorporate additional variables and advanced modeling techniques to provide deeper insights into the factors driving digital marketing success.
Analyzing Player Performance Metrics for Rank Prediction in Valorant Using Random Forest: A Data-Driven Approach to Skill Profiling in the Metaverse Rahardja, Untung; Aini, Qurotul
International Journal Research on Metaverse Vol. 2 No. 2 (2025): Regular Issue June 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v2i2.26

Abstract

This study explores the application of Random Forest, a powerful data mining technique, to predict player ranks in Valorant, a competitive first-person shooter. By analyzing a range of player performance metrics, including headshots, kills, damage received, and traded kills, the study identifies the key features that influence player rank determination. Using a dataset of player statistics, the model was trained to predict player ranks, achieving a prediction accuracy of 50.09%. The analysis revealed that headshots and traded kills were the most influential metrics in determining player rank, suggesting that skill-based metrics like accuracy and tactical gameplay are crucial for ranking in the game. These findings highlight the importance of understanding the relationship between various performance indicators and rank progression, offering valuable insights for both game developers and players. The results contribute to the growing body of research in gaming analytics, showcasing how data mining techniques can be used to analyze player behavior and improve competitive balance in games. The study underscores the potential of using data-driven approaches to enhance game design, providing developers with actionable insights to refine rank prediction systems, adjust in-game mechanics, and ensure a more balanced competitive environment. Looking ahead, future research can explore the use of alternative machine learning models, such as support vector machines (SVM), XGBoost, or neural networks, to improve the prediction accuracy and robustness of the model. Additionally, expanding the dataset to include more detailed player behaviors, match outcomes, and even temporal aspects of player performance could provide a more comprehensive understanding of the factors influencing player ranks. This can help further unravel the complexities of player behavior and performance in the metaverse, where virtual environments evolve dynamically based on player interactions.
Pengabdian Kepada Masyarakat terhadap Potensi Coffee dalam mengembangkan Program UMKM: Bahasa Indonesia Rahardja, Untung; Aini, Qurotul; Santoso, Nesti Anggraini
Universal Raharja Community (URNITY Journal) Vol. 1 No. 2 (2021): URNITY (Universal Raharja Community)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.275 KB) | DOI: 10.33050/urnity.v1i2.1571

Abstract

Pengabdian Kepada Masyarakat sudah diterapkan di dalam lingkup Universitas Raharja untuk menjalankan Undang-Undang No 12 mengenai kegiatan Tridharma pada pasal 1 ayat 9, yaitu Tridharma Perguruan Tinggi yang wajib diselenggarakan selain menjalani kegiatan penelitian, Pembelajaran, serta Pendidikan. Dalam menjalankan kegiatan ini diharapkan dapat menumbuhkan rasa berbagi kepada sesama dengan berdonasi sehingga bisa membantu memfasilitasi serta mensejahterakan organi sasaran. Kegiatan ini didukung langsung oleh salah satu fakultas yang terdapat di Universitas yang berkaitan dengan kewirausahaan dengan mengakal mahasiswa untuk menerapkan hal tersebut dalam menciptakan entrepreneur yang unggul dan Kreatif. Bahan pokok yang digunakan dalam menciptakan produk tersebut dikembangkan, diolah dan dikemas oleh mahasiswa dengan menyalurkan ide, kreasi dan kreatifitas mahasiswa pada produk yang akan dijalankan agar menarik. Hasil penjualan penge mbangan produk UMKM yang sedang dijalankan ini akan seluruhnya disumbangkan kepada organisasi sasaran sehingga universitas bisa mewakili masyarakat untuk ikut berperan menjadi donatur
PENGARUH TEKNOLOGI BLOCKCHAIN TERHADAP KEABSAHAN IJAZAH Rahardja, Untung; Mulyati, Mulyati; Budiarty, Frizca
Jurnal Manajemen Retail Indonesia (JMARI) Vol. 2 No. 1 (2021): Jurnal Manajemen Retail Indonesia (JMARI)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (614.234 KB) | DOI: 10.33050/jmari.v2i1.1428

Abstract

Ijazah merupakan tanda bukti atau suatu dokumen pengakuan atas selesainya jenjang pendidikan yang telah ditempuh seorang pelajar. Keberadaan Ijazah tentu sangat bernilai penting karena digunakan sebagai alat dalam melakukan berbagai kegiatan diantaranya sebagai dokumen dalam melamar kerja. Pada studi lapangan banyak ditemukan suatu pelanggaran hukum yakni, kasus pemalsuan ijazah untuk tujuan mendapatkan pekerjaan yang layak. Kendati ijazah sangat mudah dipalsukan, hal ini menyebabkan sulitnya memastikan keabsahan dari dokumen tersebut. Hadirnya teknologi blockchain di era 4.0 ini diharapkan mampu dimanfaatkan dalam dunia pendidikan dengan menerapkan keunggulan yang dimiliki oleh blockchain yaitu sistem terdesentralisasi dan kriptografi, maka keberadaan teknologi blockchain akan mampu mengeliminasi keberadaan ijazah palsu dan mampu membuktikan keabsahan ijazah bagi calon pelamar kerja, secara efektif, efisien serta transparan. Penelitian ini mengadopsi 2 metode yaitu, metode analisis deskriptif dan metode studi pustaka. Blockchain diharapkan mampu ikut menyumbang keberhasilan dan meningkatkan kualitas pendidikan nasional.
Integrating Strategic Management with SDG 10 for Sustainable Development and Equity Lukita, Chandra; Abdul Rahman, Abdul Wahab; Hikam, Ihsan Nuril; Rahardja, Untung
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.507

Abstract

Strategic Management (SM) has traditionally focused on competitive advantage and operational efficiency. However, with the increasing global emphasis on inclusive development, SM now includes addressing systemic issues such as inequality, as outlined in Sustainable Development Goal 10 (SDG 10). This study aims to explore how SM research contributes to SDG 10, focusing on the role of Artificial Intelligence (AI) in advancing equity-driven strategies, specifically in the context of reducing inequalities. A bibliometric analysis was conducted using VOSviewer on 43 Scopus-indexed articles published from 2015 to 2025. This analysis maps global contributions, themes, and AI conceptual integration into SM. The findings show that Spain and the Netherlands are leading contributors in this field. Core themes emphasize governance, Corporate Social Responsibility (CSR), and innovation, while AI is recognized conceptually but lacks empirical integration in reducing inequalities. This study identifies key trends in SM research related to SDG 10 and highlights the need for greater empirical integration of AI in SM. It calls for further research on AI-driven decision-making frameworks that align with equity and sustainability goals.
Predicting the Number of Passengers in Public Transportation Areas Using the Deep Learning Model LSTM Joko Siswanto; Sri Yulianto Joko Prasetyo; Sutarto Wijono; Evi Maria; Untung Rahardja
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 15 No. 03 (2024): Vol. 15, No. 03 December (2024)
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2024.v15.i03.p03

Abstract

Accurate predictions of the number of public transport passengers on buses in each region are crucial for operations. They are required by the planning and management authority for bus public transport. A deep learning-based LSTM prediction model is proposed to predict the number of passengers in 4 bus public transportation areas (central, north, south, and west), evaluated by MSLE, MAPE, and SMAPE with dropout, neuron, and train-test variations. The CSV dataset obtained from Auckland Transport(AT) New Zealand metro patronage report on bus performance(1/01/2019-31/07/2023) is used for evaluation. The best prediction model was obtained from the lowest evaluation value and relatively fast time with a dropout of 0.2, 32 neurons, and train-test 80-20. The prediction model on training and testing data improves with the suitability of tuning for four predictions for the next 12 months with mutual fluctuations. The strong negative correlation is central-south, while the strong positive correlation is north-west. Predictions are less closely interconnected and dependent, namely central-south. With its potential to significantly impact policy-making, this prediction model can increase public transport mobility in each region, leading to a more efficient and accessible public transport system and ultimately enhancing the public's daily lives. This research has practical implications for public transport authorities, as it can guide them in making informed decisions about service planning and resource allocation.
Co-Authors AA Sudharmawan, AA Abas Sunarya Abas Sunarya, Po Abdul Hamid Arribathi Abdul Hayat Abdul Rahman, Abdul Wahab Achani Rahmania Az Zahra Achmad Nizar Hidayanto Adam Faturahman Ade Iriani Adi Setiawan Aditiya Lityanian Al Nasir Adiyarta, Krisna Aghnia Sabila Ainun Rahmawati Alexander Williams Alfiah Khoirunisa Alfiah Khoirunisa Alfiah Khoirunisa Alfiah Khoirunisa Alfiah Khoirunisa Alfian Dimas Ahsanul Rizki Ahmad Alwiyah Alwiyah Amelia, Sindy Amsyar, Izwan Ana Nurmaliana Anderson, James Andhika Dwi Putra Andriyani, Fitri Andriyansah . Anggun Aditya Ningrum Anggun Oktariyani Anggy Fatillah Anggy Giri Prawiyogi Ani Wulandari Anil Ram Anjani, Sheila Aulia Ankur Singh Bist Anoesyirwan Moeins Anoesyirwan Moeins Anwar, Aang Solahudin Apriliasari, Dwi Aptman, Ethan Ari Asmawati Arini Dwi Lestari Arini Dwi Lestari Aristo, Nabila Cynthia Arko Djajadi Ary Budi Warsito Asep Saefullah Asep Sutarman Asif Khan Asif Khan Astuti, Eka Dian Athapol Ruangkanjanases Augury El Rayeb Aulia Edliyanti Avionita, Sella Ayi Rakhmat Ramdani Ayu Martha Wardani Ayu Sanjaya, Yulia Putri Ayu Wanda Azz, Istajib Kulla Himmy Baedowi, Hikmal Bayu Pramono Bennet, Daniel Bhupesh Rawat Bist, Ankur Singh Budiarto, Mukti budiarty, frizca Bunga Pertiwi Candra, Ariya Panndhitthana Chairun Nas Chalifatullah, Siti Chen, Shih Chih Christianto, Dennies Dwi Chung-Hao Hsu Chung-Wen Hung Citra Destianty Cristhopher, Ethan Daelami Ahmad Danny Manongga Darmawan, Muhammad Diky Darmawan, Muhammad Diky Davies, Mary Deddy Pratama Desi Sartika Desrianti, Dewi Immaniar Desy Apriani Devi, Lakshmi Dewi Immaniar Dewi Mariana Apriani Dewi, Yustin Novita Dhita Rukmianti Diah Aryani, Diah Dian Maharani Damanik Dian Mustika Putri Dina Fitria Murad Dina Fitria Murad Dini Intan Pratiwi Dini Intan Pratiwi Dini Nurul Suvianti Duwi Juliansah, Muhamad Alfi Dwi Andayani, Dwi Dwi Anjani Dwi Apriliasari Dwi Apriliasari Dwi Maya Suhainingsih Edward Boris P Manurung Edward Boris P Manurung Edward Guustaaf Efa Ayu Nabila Efendy, Rifan Eko Prasetiyani Eko Prasetiyani Eko Sediyono Elinda, Bella Dhea Elinda, Bella Dhea Elmanda, Vonda Endah Nirmala Dewi Erick Alfons Lisangan Erick Febriyanto Erika Erika Erni Astuti Erviani, Maya Ima Euis Sitinur Aisyah Evi Maria Faisal Rizki Azhari Farida Agustin, Farida Faturahman, Adam Fauziah, Zaleha Febiani, Dyah Ayu Febiansyah, Hidayat Femi Allamiah Femi Allamiah Fernanda Setyobudi Armansyah, Fernanda Setyobudi Firman Hanafi Fitra Putri Oganda Fitri Faradilla Fitri Faradilla Fitri Lisnawati Fresandy, Gilang Fuad, Azharul Giandari Maulani Girinzio, Iqbal Desam Goh, Thomas Sumarsan Guustaaf, Edward Hakiki, Salman Handayani, Indri Handayani, Indri Hani Dewi Ariessanti Hani Dewi Ariessanti Harahap, Eka Purnama Harahap, Eka Purnama Harries Madiistriyatno Harries Madiistriyatno, Harries Henderi . Hendriyati, Penny Hendry Heriyanto Heriyanto Hidayati * Hidayati Hidayati Hikam, Ihsan Nuril Hindriyanto Dwi Purnomo Hua, Chua Toh Ignatius Joko Dewanto, Ignatius Joko Ilham, Muhammad Ghifari Imam Prayogi Indri Handayani Indri Handayani Indri Handayani Indri Handayani Indri Handayani Indri Handayani, Indri Ira Geraldina Irwan Nurdin Irwan Sembiring Isabella Yaumil Annisa Iwan Setyawan Jazi Eko Istiyanto Jetty Susanti Joko Siswanto Joko Siswanto Julianingsih, Dwi Juniar, Hega Lutfilah Kamal, ⁠Abdullah Arif Kamil, Muhammad Farhan Kanivia, Aan Kareem, Yasir Mustafa Kenita Zelina Khairunisa, Alfiah Khanna Tiara Khanna Tiara, Khanna Khasanah, Kartika Trissanti Kho, Ardi Khoirunisa, Alfiah Khoirunisa, Alfiah Khoirunisa, Alfiah Khoirunisa, Alfiah Komara, Maulana Arif Kristoko Dwi Hartomo Lalita Tri Adila Lalu Darmawan Bakti, Lalu Darmawan Latifah, Haznah Lestari Santoso, Nuke Puji Lic, Yung-Ming Lidya Wijayanti Lilik Agustin Lilis Setiani Lim, Clara Pasha Lusyani Sunarya Lutfiyah, Konita M. Ramdani Made Bunga Thalia Maharani, Herliana Wahyu Maimunah Maimunah Manik, Ita Sari Perbina Mardiana Mardiana Mardiana Mardiana Mardiansyah, Aditya Marviola Hardini Maulana, Imam Ryan Maulana, Sabda Md Asri Ngadi Melani Rapina Tangkaw Mertayasa, I Komang Meta Amalya Dewi Meylda Sarah Parwati Meytasari, Rista Mia Novalia Millah, Shofiyul Moch Sandi Alpansuri Mochamad Heru Riza Chakim Mochamad Sandi Alpansuri Mochamad Sukrisno Mardiyanto Mohammed Iftequar Ali Much Alvin Aldiya Muhamad Hendri Muhamad Yusup Muhammad Diky Darmawan Muhammad Iman Nur Hakim Muhammad Iqbal Muhammad Iqbal Muhammad Salamuddin Mukti Budiarto Muktiyanto, Ali Mulyati Mulyati Mulyati Mustofa Kamil, Mustofa Mustofa, Kenny Ilyas Nadia Nur Azizah Natalia, Elisa Ananda Natalia, Ester Ananda Natasya, Ersa Aura Neng Enay Nesti Anggraini Santoso Nevizond, Reza Filander Nia Haryani niko alnabawi Ninda Lutfiani Noval Jindan Nuke Puji Lestari Santoso Nur Azizah Nur Azizah NURAENI, RANI Nurani, Dita Lintang Nurmala, Risma Nurul Komaeni Ornlatcha Sivarak P. O. H. Putra Pahad, Baiq Aneji Pangestu, Anggit Panji Parker, Jonathan Po Abas Sunarya Pramono, Bayu Prasetyo, Ilham Bagus Pratiwi, Sarah Prihastiwi, Wahyu Yustika Purnama Harahap, Eka Purnama, Ika Yuni Putra, Nanda Dwi Putri, Dian Mustika Qory Oktisa Aulia Qurotul Aini Qurotul Aini Qurotul Aini Qurotul Aini Qurotul Aini Qurotul Aini Qurotul Aini Qurotul Aini Qurotul Aini Rahardja.,M.T.I.,MM, Dr. Ir. Untung Rahma Rinie Raihan Raihan, Raihan Rakhmansyah, Mohamad Ramadan, Ahmad Ramadhan, Tarisya Ramzi Zainum Ikhsan Rawat, Bhupesh Ray Indra Taufik Wijaya Renowati Hardjosubroto Reny Ardyanti Resti Rahmawati Retantyo Retantyo Retantyo Wardoyo RH. Fitri Faradilla Ridhuan Ahsanitaqwim Riya Widayanti Riza Chakim, Mochamad Heru Rizki Afri Liani Firmansyah Rizky, Agung Rochmawati Rochmawati Romzi Syauqi Naufal Rosalinda, Iis Ariska Rosyifa Rosyifa Ruey-Hsing Chang Rusilowati, Umi Sabda Maulana Salamuddin, Muhammad Sanjaya, Yulia Putri Ayu Santika Dewi Santoso, Nesti Anggraini Santoso, Nuke Puji Lestari Sarah Riwanda Shofroh Sari, Herva Emilda Sari, Meri Mayang SATRIYAS ILYAS Saulina Panjaitan, Aropria Sella Avionita Septian, Rafly Ananda Dwi Septiani, Nanda Shakinah Badar Shakinah Badar Shih-Chih Chen Shih-Chih Chen Shih-Wen Chien Shofiyul Millah Shylvia Ratna Dewi Shylvia Ratna Dewi Sihotang, Sondang Visiana Silvia, Pita Siti Chalifatullah Siti Maesaroh Siti Maesaroh Siti Mawadah Siti Nurindah Sari Siti Ria Zuliana Spits Warnar, Harco Leslie Hendric Sri Darmayanti SRI RAHAYU Sri Watini Sri Yulianto Joko Prasetyo Suciani, Ayu Sudaryono Sudaryono Sudaryono Sudaryono Sugeng Widada Sulastrini, Lily Ratna Sulistio Sulistio Sulthan Taqi Sampoerna Sunar Abdul Wahid Sunardjo, Richard Andre Sunarjo, Richard Andre Supriyati, Ruli Suryari Purnama Suryo Guritno1 Susan Oktaviani Sutarman, Asep Sutarto Wijono Sutedja, Indrajani Suwandi Suwandi Tanaporn Hongsuchon Tangkaw, Melani Rapina Taqwa Hariguna Tejosuwito, Nikita Jova Tito Pinandita Tri Kuntoro Priyambodo Tri Purwaningsih Triyono Triyono Tsung-Hao Wu Tuti Nurhaeni Utami, Ria Valent Setiatmi Valent Setiatmi Valent Setiatmi, Valent Viktor A Sin, Muhamad Viola Tashya Devana Vivid Kristiani Alfad Zebua Wahyu Yustika Prihastiwi Wahyudi, Otniel Feliks Putra Wardani, Ayu Martha Widhy Setyowati Wijaya, Randy Wijaya, Surta Wijayanti, Lidya Wiliams, Alexander Williams, Alexander Windy Yestina Winiarti Prastiwi Yanti Yanti Yessi Frecilia Yoke Dwi Martianda Setiaji Yolandari, Aulia Yoyo Syoifana Yundari, Yundari Yusuf, Natasya Aprila Zainal Arifin Hasibuan