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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 International Journal of Marine Engineering Innovation and Research 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 ProBisnis : Jurnal Manajemen 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 Journal of Current Research in Blockchain International Journal Research on Metaverse Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Untung Rahardja
Universitas Raharja
Religion Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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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.
The Use of Science Technology In Islamic Practices and Rules In The Past Now and The Future Desy Apriani; Alexander Williams; Untung Rahardja; Alfiah Khoirunisa; Sella Avionita
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 1 No. 1 (2021): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (395.638 KB) | DOI: 10.34306/ijcitsm.v1i1.16

Abstract

Civilization is a complex structure of society characterized by urban development, social stratification applied by cultural elites, systems symbolic communication (eg, writing systems), and the perceived separation from and domination over the natural environment. Islamic civilization is a civilization that is built on basic Islamic aqidah, aims according to the purposes (maqashid) of sharia, and is realized by imitating the deeds (sunnah) of the Prophet Muhammad, his companions and the signs signs of halal and haram. Islam was at the pinnacle of civilization when the Khilafah system was still upright, despite the ups and downs. Based on Islamic ethics, In the case of virtue seeking new knowledge, it is achieved as a result of moderation of two extreme biases namely, avoiding acquiring new knowledge but remaining in a position of ignorance and playing an important role in pursuing ignorance. Thus, the ethics of Islamic knowledge, which is the application of science and technology science in Islam must be regulated, striving to free humans from these two negative tendencies. The core idea discussed in this paper is the science design used with special reference to Science and Technology. In the history of Islamic thought, this concept is articulated mainly in the background of cognitive psychology theory and Maqashid ash-sharia (a higher goal than Sharia) which is connected to the search for personal and social knowledge. Muslims are now able to pave the way for creating more advanced scientific and technological habits in twenty-first century Muslim societies.
HibahQu Education Monitoring Platform Based on Human-Centric Orange Technology Laravel 12 Vue.js Rahardja, Untung; Sulistyo, Lod; Safarina, Dwi; Rapidan Kusuma, Muhamad; Silawati, Nur; Nanle, Zeze; A, Muhammad Devan
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 2 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i2.1348

Abstract

The digital transformation of grant management in higher education is essential to enhance transparency, efficiency, and accountability in research and community service programs. However, many institutions still depend on frag mented monitoring mechanisms, limited real-time information access, and systems that are not fully user oriented, leading to in effective supervision and delayed decision making. This study aims to design and develop a higher education grant monitoring platform based on Human-Centric Orange Technology to support real-time tracking, structured reporting, and process transparency across the grant lifecycle. The research adopts a system development approach combined with qualitative analysis, including requirement analysis, system design, implementation, and user evaluation through interviews and direct observations involving academic and administrative stakeholders. This approach enables a comprehensive understanding of user needs, usability considerations, and system relevance within the institutional grant management context. The findings indicate that the proposed platform improves monitoring effectiveness through real-time grant status visualization, transparent information access, and integrated reporting features, while enhancing user experience through an intuitive, role based, and human centric interface. The study concludes that implementing a Human-Centric Orange Technology based monitoring platform can strengthen grant governance, improve transparency, and optimize administrative efficiency in higher education institutions in a user oriented manner.
A Framework for Mining Customer Data in Management Information Systems Untung Rahardja; Lutfiani, Ninda; Agung Rizky; Yul Ifda Tanjung; Evans, Richard
CORISINTA Vol 3 No 1 (2026): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/m5qymx32

Abstract

The exponential growth of customer data within Management Information Systems (MIS) has generated an urgent need for structured analytical approaches capable of transforming raw information into valuable insights that support decision-making across various organizational processes. This study aims to develop a comprehensive and systematic framework for mining customer data in MIS by integrating preprocessing procedures, machine learning algorithms, and model evaluation techniques into a unified analytical workflow. Using the Design Science Research methodology, the framework was designed based on existing data mining standards, developed through iterative refinement, and demonstrated using a customer-behavior dataset processed with clustering, classification, and association rule mining techniques. The findings reveal that the proposed framework improves data quality, enhances segmentation accuracy, and strengthens predictive capability, enabling MIS to deliver deeper insights into customer behavior, purchasing tendencies, and potential churn risks. Experimental results show that combining K-Means, Random Forest, and Apriori algorithms yields more comprehensive and reliable patterns compared to using a single analytical technique. The outcomes of this research highlight the practical significance of applying an integrated data mining approach in MIS, allowing organizations to optimize marketing strategies, personalize services, and make more informed managerial decisions. Overall, this study contributes to the field by offering a scalable, adaptable, and effective framework for implementing customer data mining within real-world MIS environments.
Revolutionizing Financial Services with Big Data and Fintech: A Scalable Approach to Innovation Rahardja, Untung; Miftah, Mohammad; Rakhmansyah, Mohamad; Zanubiya, Jihan
ADI Journal on Recent Innovation Vol. 6 No. 2 (2025): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v6i2.1180

Abstract

Co-Authors A, Muhammad Devan AA Sudharmawan, AA Abas Sunarya Abas Sunarya, Po Abdul Hamid Arribathi Abdul Hayat Abdul Rahman, Abdul Wahab Achani Rahmania Az Zahra Achmad Benny Mutiara Achmad Nizar Hidayanto Adam Faturahman Ade Iriani Adele Valerry Adi Setiawan Aditiya Lityanian Al Nasir Adiyarta, Krisna Aghnia Sabila Agung Rizky Agung Rizky Al Hafiz, Mohammad Aditya 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 Ariya Panndhitthana Candra Arko Djajadi Aroha Patel Ary Budi Warsito Asep Saefullah Asep Sutarman Asif Khan Asif Khan Asri asri Athapol Ruangkanjanases Augury El Rayeb Aulia Edliyanti 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 Chairun Nas Chalifatullah, Siti Charlotte Pasha Chen, Shih Chih Christianto, Dennies Dwi Chua Toh Hua Chung-Hao Hsu Chung-Wen Hung Citra Destianty Clara Pasha Lim Cristhopher, Ethan Daelami Ahmad Daeli, Marda Leni 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 CAHYONO Dwi Maya Suhainingsih Dwi Nur Ramadhan Edward Boris P Manurung Edward Boris P Manurung Edward Guustaaf Efa Ayu Nabila Efendy, Rifan Eka Dian Astuti 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 Ester Ananda Natalia Ethan Harris Euis Sitinur Aisyah Evans, Richard 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 Gabriel Fransiso Galih Putra Cesna Giandari Maulani Girinzio, Iqbal Desam 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 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 Jelita Bagaskara Jetty Susanti Joko Siswanto Jonathan Parker Jonathan Parker 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 Lachlan, Nicholas Lalita Tri Adila Lalu Darmawan Bakti, Lalu Darmawan Latifah, Haznah Lestari Santoso, Nuke Puji Lic, Yung-Ming Lidya Wijayanti Lilik Agustin Lilis Setiani Lily Maria Evans Lusyani Sunarya Lutfiyah, Konita M. Ramdani Madani, Muchlishina 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 Meri Mayang Sari Meri Mayang Sari Meria, Lista Mertayasa, I Komang Meta Amalya Dewi Meylda Sarah Parwati Meytasari, Rista Mia Novalia Michael Surya Gunawan Michael Surya Gunawan Miftah, Mohammad Millah, Shofiyul Mitra Terima Des Sincer Putri 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 Iqbal Muhammad Iqbal Muhammad Salamuddin Muhtarom Muhtarom Mukti Budiarto Muktiyanto, Ali Mulyati Mulyati Mulyati Mustofa Kamil, Mustofa Mustofa, Kenny Ilyas Nanle, Zeze Natalia, Elisa Ananda Natalia, Ester Ananda Natasya, Ersa Aura Neng Enay Nesti Anggraini Santoso Nevizond, Reza Filander Nia Haryani niko alnabawi Ninda Lutfiani Ninda Lutfiani Ningrum, Fanani Islamia 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 Paroli Paroli Pasha, Lukita Po Abas Sunarya Po Abbas Sunarya Pramono, Bayu Pratiwi, Sarah Prihandoko Prihandoko Prihastiwi, Wahyu Yustika Purnama Harahap, Eka Purnama, Ika Yuni Putri, Dian Mustika Qory Oktisa Aulia Qurotul Aini 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 Rani Nuraeni Rapidan Kusuma, Muhamad Ratna Tri Hari Safariningsih Rawat, Bhupesh Ray Indra Taufik Wijaya Renowati Hardjosubroto Reny Ardyanti Resti Rahmawati Retantyo Retantyo Retantyo Wardoyo Reyhan Algiffary Gunawan 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 Ruli Supriati, Ruli Rusilowati, Umi Sabda Maulana Safarina, Dwi Salamuddin, Muhammad Sanjaya, Yulia Putri Ayu Santika Dewi Santoso, Nesti Anggraini Santoso, Nuke Puji Lestari Saputra, Muhamad Stabil Tanwin Sarah Riwanda Shofroh Sari, Herva Emilda SATRIYAS ILYAS Saulina Panjaitan, Aropria Sebastian, Rizky 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 Silawati, Nur Silvia, Pita Siti Chalifatullah Siti Maesaroh Siti Maesaroh Siti Mawadah Siti Nurindah Sari Siti Ria Zuliana Solahudin Solahudin 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 Sulistyo, Lod Sulthan Taqi Sampoerna Sunar Abdul Wahid Sunardjo, Richard Andre Sunarjo, Richard Andre Supriyati, Ruli Suryari Purnama Suryo Guritno1 Susan Oktaviani Sutama Wisnu Dyatmika Sutarman, Asep Sutarto Wijono Sutedja, Indrajani Suwandi Suwandi Tanaporn Hongsuchon Tangkaw, Melani Rapina Taqwa Hariguna Tejosuwito, Nikita Jova Thomas Sumarsan Goh Tri Kuntoro Priyambodo Tri Purwaningsih Triyono Triyono Tsung-Hao Wu Tuti Nurhaeni Uki Hares Yulianti 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 Wibowo, Shesilia Widhy Setyowati Widjaya, Irene Apriani Wijaya, Randy Wijaya, Surta Wijayanti, Lidya Wiliams, Alexander Windy Yestina Winiarti Prastiwi Yanti Yanti Yessi Frecilia Yoke Dwi Martianda Setiaji Yolandari, Aulia Yoyo Syoifana Yul Ifda Tanjung Yul Ifda Tanjung Yundari, Yundari Yusuf, Natasya Aprila Zainal Arifin Hasibuan Zainarthu, Henry Zanubiya, Jihan