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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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Analysis of Covid 19 Data in Indonesia Using Supervised Emerging Patterns Rahardja, Untung; Dewanto, Ignatius Joko; Djajadi, Arko; Candra, Ariya Panndhitthana; Hardini, Marviola
APTISI Transactions on Management (ATM) Vol 6 No 1 (2022): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i1.1768

Abstract

This research method uses CRISP-DM with emerging pattern supervision modeling and EPM Algorithm. The contribution of the research is to assist the Government in overcoming the problem of the spread of the COVID-19 cluster in several regions in Indonesia. The research aims to implement information on the COVID-19 data mining pattern in the DKI Jakarta area. The problems faced are the difficulty of identifying the pattern of COVID-19 data in one area, it is difficult to dig up data on the http://corona.jakarta.go.id website. It is not easy to decide on the handling of COVID-19. The output of the research results in a cluster of information on COVID-19 in the DKI Jakarta area based on Significance level depends on the Covid Map In terms of Region, Status, Gender, & age And Signification can be the basis for determining covid OTG, DTG, and Positive. The theoretical and practical implications can be stated as follows: The use of supervised emerging pattern methods can affect the processing of COVID-19 data. For 5 Regions in DKI Jakarta and distribution to determine covid OTG, DTG, and Positive. The result of the development of this data mining system is to produce pattern reports to produce Supervised Emerging Patterns technology for decision making at the COVID-19 Task Force in DKI Jakarta.
Implementation of Enterprise Resource Planning (ERP) in Indonesia to Increase the Significant Impact of Management Control Systems Rahardja, Untung; Ramadan, Ahmad
APTISI Transactions on Management (ATM) Vol 7 No 2 (2023): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v7i2.1881

Abstract

To improve the Management Control Systems, an accidental sampling (non-probability sampling) method is used to apply Enterprise Resource Planning (ERP). Export and import service companies in the Jakarta Capital City area became the population in this study, with the total sample used is 100 respondents. 3 (three) variables that are the primary key of this research are Management Control System (X1) is an independent variable, and ERP implementation (Y) is classified as a related variable. The results obtained after this study's test indicate that ERP implementation (Y) is significantly influenced by the Management Control System (X1). There are several compromises in implementing an ERP (Enterprise Resource Planning) system in Indonesia. These factors exist in both the manufacturing and service industries. These have been identified as staffing issues where users do not understand how to use the  ERP system. This lack of understanding leads to the implementation of non-optimized ERP due to the lack of education and learning about system usage and operational know-how. ERP is an evolution of Enterprise Resource Planning II (MRP II), a further development of Material Requirements Planning (MRP). ERP includes a warehouse management package as a first step, which is the supply control used in manufacturing or servicing products. The second phase of material requirements planning is the ERP route. In addition, the third phase of MRPII was the development of closed-loop MRP. ERP will emerge as Phase 4, an extension of MRP II and business processes. Extended ERP is the fifth phase of ERP, was introduced in 2000 and is much more complex than previous ERP.
Utilization of Machine Learning for Stunting Prediction: Case Study and Implications for Pre-Matrical and Pre-Conceptive Midwifery Services Aini, Qurotul; Rahardja, Untung; Sutedja, Indrajani; Spits Warnar, Harco Leslie Hendric; Septiani, Nanda
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1488

Abstract

Stunting, a global health challenge, affects millions of children, particularly in low- and middle-income countries, and has lasting consequences on cognitive development, physical growth, and overall well-being. Early prediction and intervention are crucial for reducing stunting, especially before conception and during early pregnancy. This paper explores the utilisation of machine learning (ML) for predicting stunting risk in the context of pre-maternal and pre-conceptive midwifery services. By analysing a case study, the research assesses the effectiveness of various machine learning algorithms in identifying stunting risk factors, including maternal health, nutrition, socioeconomic status, and environmental conditions. Using healthcare and demographic data, the study develops predictive models to assist midwives in assessing stunting risks during pre-conception and prenatal phases. The findings demonstrate that ML models, particularly random forest and support vector machine algorithms, outperform traditional risk assessment methods, providing higher accuracy and earlier detection of stunting risk. These models enable midwives to deliver personalised care and targeted interventions, optimising maternal and child health outcomes. The study also highlights the broader implications of integrating machine learning into midwifery services, including improved decision-making, resource allocation, and healthcare efficiency. In conclusion, this research underscores the transformative potential of machine learning in predicting stunting risk and enhancing the effectiveness of pre-maternal and pre-conceptive midwifery services, offering a promising approach to mitigating the global burden of stunting.
Machine Learning-Based Heart Failure Worsening Prediction Model to Build Self-Monitoring Prototype as an Effort to Prevent Readmissions and Maintain Quality of Life Rahardja, Untung; Hartomo, Kristoko Dwi; Sutedja, Indrajani; Kho, Ardi; Kamil, Muhammad Farhan
International Journal of Engineering, Science and Information Technology Vol 5, No 1 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i1.1467

Abstract

Heart failure is a long-term condition of great concern which calls for health care services in cycles. This significantly hampers quality of life for patients and increases costs for the healthcare systems. If the worsening of heart failure could be detected early, the intervention to prevent readmission could be employed, such that readmission would be avoided, enhancing the quality of life for the patient. Accordingly, the paper explains how such a model to predict the worsening of heart failure in patients who are at high risk of this condition has been developed. The model uses information gathered from the Electronic Health Records (EHRs) (Clinical Variables, Vitals, Test Results, and Demographics) to make accurate predictions on patients. As an effective and efficient approach towards achieving this goal, comparison of different algorithms such as random forests, support vector machines and gradient boosting has been employed towards the building of the final model. At this stage, the model is embedded into a user-friendly self-monitoring device, allowing the chronic heart failure patients to assess health indices on the fly with the help of the mobile app and wearable devices. This secondary prevention strategy makes patients more responsible for their health and decreases the number of patients readmitted to the hospital by increasing their functioning and well-being. The paper further projects the future development of other forms of treatment for chronic heart failure, especially at the first line, focusing primarily on the timing and succession.
Revolutionizing Renewable Energy Systems throughAdvanced Machine Learning Integration Approaches Sri Rahayu; Septiani, Nanda; Ramzi Zainum Ikhsan; Kareem, Yasir Mustafa; Untung Rahardja
CORISINTA Vol 2 No 2 (2025): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v2i2.115

Abstract

The increasing global emphasis on sustainability has accelerated investments in renewable energy technologies, positioning sources like solar, wind, and hydroelectric power as vital alternatives to fossil fuels. Despite significant progress, integrating renewable energy into existing grids remains challenging due to variability in energy output, grid instability, and inefficiencies in energy storage systems. This study investigates the potential of machine learning (ML) to revolutionize the renewable energy sector by enhancing energy forecasting, grid management, and energy storage optimization. Using a combination of supervised learning, deep learning, and reinforcement learning techniques, we developed predictive and optimization models based on historical and real-time datasets. Additionally, structural equation modeling (SEM) with SmartPLS was employed to analyze the relationships between key variables, such as machine learning algorithms, renewable energy sources, sustainability performance, and operational efficiency. The results indicate that machine learning significantly improves energy forecasting accuracy, grid reliability, and storage efficiency, with R-squared values of 0.685 for operational efficiency and 0.588 for sustainability performance. These findings highlight the transformative role of ML in optimizing renewable energy systems and achieving sustainable energy goals. While ML offers promising solutions for renewable energy challenges, further research is needed to address real-time data integration, model scalability, and economic feasibility. This study provides a foundation for future innovations, emphasizing the importance of intelligent, data-driven strategies in advancing global energy sustainability.
Application Of Trial Finalization System As Determinants Of Final Thesis Session Results Rahardja, Untung; Andayani, Dwi; Aristo, Nabila Cynthia; Hasibuan, Zainal Arifin
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 1 No 1 (2019): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v1i1.4

Abstract

The objective assessment system and guiding assessment can be accessed online, but the examiner's assessment system in which there is a system of finalizing the trial still using the local network and not connected with the others. The trial appraisal system that was not mutually integrated made the examiner a little difficult. This is because as technology advances are utilized as well as possible by educational institutions in this case namely universities to be used in a comprehensive session of thesis students or final assignments. Then it is necessary to develop the examiner's assessment system in which there is a system of finalizing the trial. The research was conducted using the method of observation, interviews and literature studies to maximize this research. The researcher directly examines the congregation assessment system which still uses the local network to analyze how the system works so that when carried out development does not change the existing system flow. Interviews were also conducted by researchers to collect data from existing speakers, namely the board of examiners. Then the author searched the list of previous studies that are appropriate so that repetition does not occur. After the development of the examiner's assessment system along with the finalization of the session and making the system integrated with each other so as to facilitate the examiner chairman to use it in determining whether or not students are declared eligible to pass a comprehensive trial or not. This proved that the system that had been developed greatly helped the process of the trial.
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.
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