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All Journal Inersia : Jurnal Teknik Sipil dan Arsitektur Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Semantik Journal of Education and Learning (EduLearn) Jurnal Pendidikan Fisika Indonesia Journal of Educational Science and Technology Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Jurnal Intelektualita: Keislaman, Sosial, dan Sains CESS (Journal of Computer Engineering, System and Science) Jurnal Pendidikan Fisika Jurnal Pendidikan Agama Islam Squalen Bulletin of Marine and Fisheries Postharvest and Biotechnology Journal of Natural Science and Integration Cetta: Jurnal Ilmu Pendidikan Technomedia Journal JURNAL PENDIDIKAN TAMBUSAI Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Aptisi Transactions on Management IQTISHADUNA: Jurnal Ekonomi dan Keuangan Islam Aptisi Transactions on Technopreneurship (ATT) CCIT (Creative Communication and Innovative Technology) Journal MANAZHIM SENSITEK ADI Journal on Recent Innovation (AJRI) Journal of Innovation and Future Technology (IFTECH) ICIT (Innovative Creative and Information Technology) Journal MARLIN : Marine and Fisheries Science Technology Journal Journal Sensi: Strategic of Education in Information System CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics JISA (Jurnal Informatika dan Sains) Jurnal Inovasi Pendidikan MH Thamrin Jurnal Abdimas Ilmiah Citra Bakti (JAICB) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Integrated Science Education Journal ENVIRONMENTAL OCCUPATIONAL HEALTH AND SAFETY JOURNAL Nusantara Hasana Journal ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Bima Journal : Business, Management and Accounting Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Startupreneur Business Digital (SABDA Journal) Jurnal Teknik Industri Universal Raharja Community (URNITY Journal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Jurnal Ilmiah Pendidikan dan Keislaman Jurnal Pendidikan dan Pengabdian Masyarakat Nanggroe: Journal Of Scholarly Service Jurnal Bintang Pendidikan Indonesia Indonesian Journal of Education Research (IJoER) Proceeding Mercu Buana Conference on Industrial Engineering Nanggroe: Journal of Scholarly Service El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Blockchain Frontier Technology (BFRONT) Jurnal Elementaria Edukasia International Transactions on Artificial Intelligence (ITALIC) Journal of Ekonomics, Finance, and Management Studies Jurnal Pendidikan MIPA Mathematics Education Journal Atom Indonesia IJIS Edu : Indonesian Journal of Integrated Science Education
Muhamad Yusup
Universitas Raharja
Religion Agriculture, Biological Sciences & Forestry Arts Humanities 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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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Utilizing AI and Blockchain for Business Innovation in Digital Strategy Sunarya, Po Abas; Yusup, Muhamad; Fae, Nahlie
Technomedia Journal Vol 10 No 3 (2026): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/kwck2v12

Abstract

In the rapidly evolving digital era, businesses are confronted with the challenge of adapting to fast paced technological changes. Innovative technologies such as Artificial Intelligence (AI) and Blockchain have emerged as solutions that can accelerate business transformation. AI offers data analytics and automation capabilities that enhance operational efficiency, while Blockchain provides the transparency and security required in digital business transactions. This study aims to explore how AI and Blockchain can be leveraged to drive innovation in business strategies and strengthen competitive advantage in an increasingly digital market. The research employs a literature review approach to examine the implementation of AI and Blockchain across various industrial sectors. For example, in the e-commerce sector, major companies such as Amazon and Alibaba have implemented AI to improve customer experience through more accurate product recommendations. Additionally, Blockchain has been utilized by Walmart to enhance supply chain transparency, enabling product traceability from suppliers to consumers. The collected data were analyzed to understand the impact of these technologies on business models and the innovations adopted by companies. The findings indicate that AI accelerates decision making processes and enables personalized customer services, while Blockchain helps establish a more transparent and efficient business ecosystem. Both technologies contribute to the development of stronger and more adaptive digital business models. The implementation of AI and Blockchain in business strategies has proven to enhance innovation, improve operational efficiency, and reinforce competitive advantage. Therefore, adopting these technologies becomes a key factor in achieving success in digitally driven businesses.
Isolation and Selection of Radiation Resistant Fungi from Mamuju High Natural Radiation Soil for Uranium and Thorium Bioremediation Robifahmi, N.; Laksmana, R. I.; Pratama, A. A.; Kusuma, A. T.; Tjiptosumirat, T.; Tuasikal, B. J.; Nugraha, E. D.; Rijal, M. S.; Febrian, V. A.; Yusup, M.; Futy, W.; Mujiyanto, A.; Sugoro, I.
Atom Indonesia Vol 52, No 1 (2026): APRIL 2026
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/aij.2026.1590

Abstract

Microorganisms from high natural radiation environments hold potential as bioremediation agents for radioactive waste. In this study, isolation and selection of fungi from Mamuju high natural radiation soil was done for radioactive bioremediation. The methods included fungal isolation from soil samples, radiosensitivity tests, sensitivity tests to uranium and thorium, and absorption tests under gamma radiation (100 Gy hour-1). Results revealed three fungal isolates with high growth ratios and resistance to gamma radiation: Talaromyces flavus (A3), Gongronella butleri (A4), and Aspergillus sp. (F1). Isolates A3 and A4 survived up to 2 kGy, while F1 endured up to 8 kGy. At 24 hours, A3 absorbed uranium at 96% with a biomass of 0.73 g and thorium at 84% with 0.98 g biomass. A4 achieved the highest uranium absorption of 97% (biomass 4.11 g) and thorium absorption of 100% (biomass 0.74 g). F1 demonstrated 96% uranium absorption (biomass 1.29 g) and 87% thorium absorption (biomass 2.17 g). These isolates exhibited significant potential for bioremediation of uranium and thorium-contaminated environments, showing unique adaptations to high radiation conditions and effective radioactive metal uptake.
The Implementation of Digital Storytelling to Enhance Early Childhood Learning Experiences Hardini, Marviola; Yusup, Muhamad; Kareem, Yasir Mustafa; Astuti, Eka Dian
Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Vol 4 No 2 (2026): March
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/mentari.v4i2.1014

Abstract

This study examines how digital storytelling can enhance early childhood learning experiences in preschool settings, in response to the growing integration of technology in education and the need to ensure its alignment with develop-mentally appropriate practices. The objective of this research is to explore how the implementation of digital storytelling influences children’s cognitive engagement, social interaction, and creative expression. Employing a qualitative de- scriptive approach, the study involves 18 children aged 4-6 years in a preschool setting and utilizes classroom observations, structured interviews with teachers, and documentation of learning activities to analyze the implementation process and its pedagogical impact. The findings indicate a tendency toward improved attention span, vocabulary development, and collaborative behavior, as well as enhanced imagination and emotional expression during digital storytelling ses- sions. Teachers reported that digital tools contributed to more interactive and adaptive learning environments, enabling children to connect personal experi- ences with narrative content in meaningful ways. The study concludes that integrating digital storytelling in early childhood education holds strong poten- tial as a developmentally aligned instructional strategy, supporting both child independence and holistic development. It further highlights the importance of thoughtful technological integration in preschool classrooms as a bridge be- tween modern educational innovation and child-centered learning philosophies.
Implementation of Waste Management Policy in South Tangerang City from the Perspective of Environmental Law and the Effectiveness of Law Enforcement Yusup, Muhamad; Panjaitan, Paris; Sadikin, Mohamad; M, Mentari; Sitorus, Novandrik Yeriko; Suryani, N. Lilis
Nanggroe: Jurnal Pengabdian Cendikia Vol 5, No 1 (2026): April 2026
Publisher : Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19924220

Abstract

Waste management in South Tangerang City has become an increasingly complex environmental issue along with population growth and urbanization. Although various regulations are already in place, such as Law Number 18 of 2008 and related regional regulations, the implementation of waste management policies still faces numerous challenges, including issues related to legal substance, law enforcement structure, and the legal culture of the community. This Community Service Program (PKM) aims to analyze the implementation of waste management policies from an environmental law perspective and to evaluate the effectiveness of law enforcement in South Tangerang City. The method used is a normative-empirical approach, with activities including seminars, interactive discussions, and workshops involving the community and stakeholders. The findings indicate a gap between preventive regulations and the reality in the field, which remains largely reactive. The main factors contributing to the low effectiveness of law enforcement include limited facilities and infrastructure, weak supervision, and low public awareness regarding waste management. Through this activity, it is expected that public understanding of the importance of environmentally based waste management will increase, along with greater active participation in preserving environmental sustainability. In addition, strengthening derivative regulations, optimizing law enforcement, and implementing technology-based and community-based waste management systems are necessary to achieve effective and sustainable waste management.
Implementation of Waste Management Policy in South Tangerang City from the Perspective of Environmental Law and the Effectiveness of Law Enforcement Yusup, Muhamad; Panjaitan, Paris; Sadikin, Mohamad; M, Mentari; Sitorus, Novandrik Yeriko; Suryani, N. Lilis
Nanggroe: Jurnal Pengabdian Cendikia Vol 5, No 1 (2026): April 2026
Publisher : Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19924220

Abstract

Waste management in South Tangerang City has become an increasingly complex environmental issue along with population growth and urbanization. Although various regulations are already in place, such as Law Number 18 of 2008 and related regional regulations, the implementation of waste management policies still faces numerous challenges, including issues related to legal substance, law enforcement structure, and the legal culture of the community. This Community Service Program (PKM) aims to analyze the implementation of waste management policies from an environmental law perspective and to evaluate the effectiveness of law enforcement in South Tangerang City. The method used is a normative-empirical approach, with activities including seminars, interactive discussions, and workshops involving the community and stakeholders. The findings indicate a gap between preventive regulations and the reality in the field, which remains largely reactive. The main factors contributing to the low effectiveness of law enforcement include limited facilities and infrastructure, weak supervision, and low public awareness regarding waste management. Through this activity, it is expected that public understanding of the importance of environmentally based waste management will increase, along with greater active participation in preserving environmental sustainability. In addition, strengthening derivative regulations, optimizing law enforcement, and implementing technology-based and community-based waste management systems are necessary to achieve effective and sustainable waste management.
Predicting Supply Chain Risks Using Machine Learning for Resilient Operations Widayanti, Riya; Setiyowati, Harlis; Yusup, Muhamad; Rodriguez, Marta
ADI Journal on Recent Innovation (AJRI) Vol. 7 No. 2 (2026): March
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ajri.v7i2.1376

Abstract

Rising supply chain disruptions highlight increasing vulnerabilities in global logistics networks caused by geopolitical conflicts, fluctuating demand, transportation failures, and environmental instability. These challenges reveal the limitations of conventional risk assessment approaches that rely heavily on manual analysis and historical data. Machine Learning (ML) offers a promising approach to enhance predictive intelligence and support more accurate decision making in complex supply chain environments. This study aims to develop and evaluate a Machine Learning based risk prediction model capable of identifying potential supply chain disruptions and enabling early detection of critical risk factors in global logistics operations. A quantitative experimental approach was employed using supply chain datasets integrated with disruption indicators from international logistics activities. The dataset consisted of more than 5,000 operational records collected between 2018 and 2024. Several machine learning algorithms were implemented and compared, including Random Forest, Gradient Boosting, and Support Vector Machines. Experimental results indicate that the Gradient Boosting algorithm achieved the highest predictive performance with an accuracy of 94.2%. The model successfully identified key determinants of supply chain risk, including demand variability, supplier reliability, and transportation delays. These findings confirm that machine learning based predictive models can enhance supply chain resilience by enabling early risk detection and supporting proactive decision making in global logistics operations.
The Preliminary Studies of Critical Thinking Skills on Subject of Matter and Their Changes on Middle Schooles Listiyorini, Listiyorini; Marlina, Leni; Yusup, Muhamad; Rahman, Nor Farahwahidah Abdul
Indonesian Journal of Education Research (IJoER) Vol. 5 No. 6 (2024): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/ijoer.v5i6.1234

Abstract

Purpose of the study: This research aims to describe or provide an initial picture of the level of critical thinking skills of junior high school students on the subject of research and its changes in South Sumatra identfy and analyze preliminary studies of students critical thinking skills. Methodology: The methodology of this study is survey- quantitative descriptive research. Data collection techniques was carried out through critical thinking skill questions of matter and their changes. The research location is at Junior High School 1 Banyuasin Regency, South Sumatera. This Study sample consist of 139 Class 7 Students. Main Findings: The findings of this study of critical thinking skill average were Class 7A had an average percentage of 28.73% in the low category, class 7B had an average percentage of 61.83% in the high category, class 7C had an average percentage of 43.43% in the sufficient category, and class 7E had an average percentage of 32.32% in the low category. Overall, the average critical thinking skills of students was 41.34% in the sufficient category. Novelty/Originality of this study: The novelty of this research lies in the contribution of the research to students' skills in answering critical thinking questions on the concept of matter and its changes. The findings can provide new insights in the context of education and researchers to develop appropriate methods and strategies to improve students' critical thinking skills.
A Analysis of Learners' Needs for Energy Literacy as a Reference for E-Module Development at Waterfall Edupark Damayanti, Fitria Siska; Akhsan, Hamdi; Yusup, Muhamad; Rahman, Nor Farahwahidah Abdul
Indonesian Journal of Education Research (IJoER) Vol. 5 No. 6 (2024): December
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/ijoer.v5i6.1261

Abstract

Purpose of the study: This research aims to analyze the needs of students in learning physics related to energy literacy by utilizing the potential of waterfalls as a reference for developing e-modules in Edupark. Methodology: The methodology of this study is survey- quantitative descriptive research. Data collection through questionnaires given to respondents using google form. The research location is at Senior High School 1 Prabumulih, Senior High School 04 Ogan Komering Ulu, Senior High School 1 Merapi Timur, Senior High School 6 Prabumulih, Senior High School 1 Makarti Jaya, Senior High School 1 Bayung Lencir, Senior High School 10 Palembang, Senior High School 2 Palembang, Senior High School 1 Unggulan Muara Enim. Main Findings: The findings of this study tentang Do you think physics is a difficult subject to learn percentage 64%, Have you ever visited a waterfall before percentage 50,1%, Have you ever been taught energy related concepts on waterfalls percentage 31,5%, Have you ever been taught using E-Modules related to waterfall eduparks percentage 51%, Have you ever heard of hydropower before percentage 87,1%, Do you agree that hydropower can provide more stable energy than other renewable energy sources percentage 89,1%. Novelty/Originality of this study: The novelty of this study lies in the e-module associated with the waterfall edupark towards students' energy literacy. The findings can provide new insights in the context of education and researchers to develop appropriate innovations to improve e-modules.
Pelatihan Pembuatan Video Animasi Berbantuan Artificial Intelligence untuk Guru SMP Negeri 1 Indralaya Markos Siahaan, Sardianto; Yusup, Muhamad; Ariska, Melly; Taufiq, Taufiq; Amalia, Wardah
Jurnal Pendidikan dan Pengabdian Masyarakat Vol. 9 No. 2 (2026): Mei
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppm.v9i2.10955

Abstract

Pemanfaatan teknologi Artificial Intelligence (AI) dalam pembuatan media pembelajaran menjadi kebutuhan mendesak bagi guru agar mampu menghadirkan pembelajaran yang kreatif, menarik, dan relevan dengan tuntutan Kurikulum Merdeka. Kegiatan Pengabdian kepada Masyarakat ini bertujuan meningkatkan kompetensi guru SMP Negeri 1 Indralaya dalam membuat video animasi pembelajaran berbantuan AI melalui pelatihan dan pendampingan terstruktur. Metode kegiatan meliputi sosialisasi, pelatihan teknis, workshop pembuatan video, pendampingan implementasi, serta evaluasi pre-test dan post-test. Hasil menunjukkan adanya peningkatan signifikan literasi digital guru dengan nilai N-gain sebesar 0,70 kategori sedang. Dari kegiatan ini, para guru menyatakan membuktikan bahwa integrasi AI membuat proses pembuatan media pembelajaran lebih efektif dan efisien dan meningkatkan kreativitas guru.
The Measuring Energy Literacy: Validation of Knowledge, Attitude, and Behavior Instruments Using the Rasch Model Bimastari, Inda Hasanah; Yusup, Muhamad; Kistiono, Kistiono
Integrated Science Education Journal Vol 6 No 3 (2025): September
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v6i3.2025

Abstract

Purpose of the study: This study aims to develop and validate a Rasch Model-based energy knowledge, attitude, and behavior assessment instrument to measure energy literacy among high school students. Methodology: The research design followed the stages of theory-based instrument development and the Rasch modeling approach. The quantitative approach and instrument development process were carried out through the stages of item preparation based on literature review and theoretical indicators, validation by experts, and field testing of 50 participants. Main Findings: The knowledge instrument has high quality, obtained as much as 9 data showing a fit for the Rasch model, such as MNSQ infit and outfit values ranging from 0.84 to 1.25. and positive point measure correlations. Instrument reliability shows infit and outfit results that are still within the ideal tolerance range, obtained sequentially the person reliability values of knowledge, attitude, and behavior of 0.50, 0.76 and 0.75. So that the instrument is suitable for accurate and consistent measurement. Novelty/Originality of this study: this study provides innovation in the energy literacy measurement literature (knowledge, attitude, and behavior) with an in-depth evaluation of item performance and respondent ability distribution using empirical and applicable methods for the development of evidence-based and Rasch model-based assessment instruments.
Co-Authors A. Setiawan A. Suhandi Abbas, Diego Abidin Pasaribu, Abidin Achmad Samsudin Adi Rusdi Widya Adimayuda, Rizal Adnan, Haidar Bustomi Adyatama, Rendhika Afifah, Rufnia Ayu Agung Lorenzo Agung Rizky Ahmad Alwi Nurudin Ahmad Asroni Ahmad Munawar Ahmad Yadi Fauzi Alwiyah Alwiyah Amalia, Wardah Amallia, Naila Amarto, Usman Amarulloh Amarulloh Amin Solihin, Amin Aminudin, Adam Hadiana Ana Nurmaliana Andrew Tirta Andri Saepudin Anggy Giri Prawiyogi Anita Bawaiqki Wandanaya Ankur Singh Bist Anwar, Aang Solahudin Anwar, Muhammad Rehan Apertha, Fanny Khairul Putri Apit Fathurohman Ari Asmawati ariq, Muhammad faris Ary Budi Warsito Ary Budi Warsito Ary Budi Warsito Ary Budi Warsito Ary Budi Warsito, Ary Budi Aspuri, Muhamad Astuti, Eka Dian Augury El Rayeb Aulia Edliyanti Ayi Rakhmat Ramdani Azahrah, Tiara Azuddin, Muna Bachtiar Bachtiar Baiq Ratna Mulhimmah Bambang Triwibowo Basuki, Sucipto Bhupesh Rawat Bimastari, Inda Hasanah Binar Kurnia Prahani budiarty, frizca Ceria Marcelina Chandra, Ratna Dwi Costu, Bayram Damayanti, Fitria Siska Danny Manongga Dewi Listiani Sukamto Dewi, Yessica Chrisna Diah Aryani Diah Aryani Diah Aryani Diah Aryani, Diah Dimas Prastama Julianto Edwards, John Eko Prasetiyani Eko Prasetiyani Eliando Erham Budi Wiranto Erlita Rasdiana Erni Astuti Euis Siti Nur Aisyah, Euis Siti Nur Euis Widanengsih FACHROZI. F Fadilah, Jasmine Fae, Nahlie Fahreza, Aulianda Zahrina Faizin, Mohammad Noor Faradila, Alya Febrian, V. A. Fidrian Millen Prayogi Firmanul Catur Wibowo Fitria Siska damayanti Fratiwi, Nuzulira Janeusse Fredy Susanto Futy, W. Garcia, Alessandro Daeli Giandari Maulani, Giandari Hamdi Akhsan Hani Dewi Ariessanti Hani Dewi Arriesanti Haratua, Chandra Sagul Harianja, M Rokhati Haris - Harlis Setiyowati Hatami, Alifa Syauqi Henderi . Hera Novia Hidayatullah, Baeti Sarif I. Sugoro Ida Kaniawati Ifran Sanni Ika Lestari, Ika Ilamsyah - Ilamsyah Ilamsyah Ilamsyah Ilamsyah, Ilamsyah Irawan, Muhammad Zhudy Irenta Irwan Sembiring Irwandani Irwandani Jaka Suwita Kamal, ⁠Abdullah Arif Kareem, Yasir Mustafa Khairunnas, Siti Khoirul Rodzikin Kistiono Kistiono Kistiono Krisandi Aprilyanto Kurniaji, Ridwan Kurniasari, Reni Oktavia Kurniasih Kurniasih Kurniawan, Rano Kusuma, A. T. Kusuma, Luqman Hafidz Kusumaningrum, Sekar Ayu Wijaya Lakshmi Devi Laksmana, R. I. Laurentius Andriyanto Leni Marlina Lilik Agustin Listiyorini, Listiyorini M, Mentari Mahdayeni, Mahdayeni Mahmudulhasan Maimunah, Ira MARDIANA Mardiana Mardiana Markos Siahaan, Sardianto Marviola Hardini Marzani, Marzani Masrifah, Masrifah Maulana Yusuf Maulana Yusuf Maulana, Sabda Melly Ariska Meri Mayang Sari Meriyana Sunengsih Miftakhul Khasanah Millah, Shofiyul Mochamad Isham Fadillah Moh. Iqbal Awi Makaram Mohamad Sadikin Mohamad Syarif Sumantri Muh. Salahuddin, Muh. Muhammad Faisal Muhammad Nurtanto Mujiyanto, A. N.Y. Rustaman Nadiya Nasution, Erni Juliana Al Hasanah Nidhi Mehra Ninda Lutfiani Ninu Apriyani Nofia Supriyani Novmewi, Yusuf Nugraha, E. D. Nuke Puji Lestari Santoso Nur Azizah Nurbani, Siti Zachro Nurlaila Suci Rahayu Rais NURUL AZIZAH Oleh Soleh, Oleh Padeli Padeli Panjaitan, Paris Pertiwi, Komala Dwi Po Abas Sunarya Pokkali, Krishna Chaitanya Pongky Arie Wijaya Pratama, A. A. Priyadi, Agung Purnomo, Yunianto Putra Wahyudi, Otniel Feliks Qurotul Aini Rafika, Ageng Setiani Rahman, Nor Farahwahidah Abdul Ramadhan, Rezki Ramadita, Salsabil Fardha Ramli, Ahmad Rani Irma Handayani Rani Lestari Reza Dani Pramudya Rifky Adinanta Fauzanie Rijal, M. S. Risca Lusiana Pratiwi Riswan Jaenudin Rivai Sungkowo Riya Widayanti Rizky Kurniawan Robifahmi, N. Rodriguez, Marta Romadi Romadi Ronal Aprianto Rosdiana Rosdiana Rosyid, Adhe Muhammad Rosyifa Rosyifa Saepudin, Andri Sairi, Muhammad Salampessy, Randi B.S Sanurdi Sanurdi Sardianto Markos Siahaan Sari, Meri Mayang Sayuti, Mohammad Sekar Ayu Aryani Shalahuddin, Shalahuddin Shofiyul Millah Siahaan, Kelvin Sinta Puspita Dewi Siti Fauziah Siti Rochmani Sitorus, Novandrik Yeriko Sondang Visiana Sihotang SRI RAHAYU Sri Wahyani, Sri Sri Yulianto Joko Prasetyo Sugiarto, Gerry Suhaepi, Muhamad Iip Suhendi Suhendi Sukmawati, Eva Supriyati . Supriyatman, Supriyatman Suratmi Suryani, N. Lilis Suryari Purnama Susan Oktaviani Susanto Rahardja Sutarman, Asep Sutarto Wijono Syamsiar, Syamsiar Syamsul Arifin Syauqi Naufal, Romzi Takrim, Muhammad Taqwa Hariguna Taqwa Hariguna Tarisya Ramadhan Taufiq Taufiq Theopillus J. H. Wellem Tjiptosumirat, T. Tuasikal, B. J. Turki Salim Untung Rahardja Uzma, Wishnu Waston Wibowo, Shesilia Wijil Nugroho Yeni, Alfitri Yulia Putri Ayu Sanjaya Yulia Roma Ito Yuliani, Opie Oktavia Yulianto Yulianto Yulika Ayu Rantama Yunita Kartika Sari Yusuf Abdurachman Zebua, Selamat Zulkardi