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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Edutech Syntax Jurnal Informatika JDM (Jurnal Dinamika Manajemen) Jurnal Teknik Elektro Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer The Journal of Pure and Applied Chemistry Research Jurnal Edukasi dan Penelitian Informatika (JEPIN) Journal of Educational Science and Technology Scientific Journal of Informatics Dinar: Jurnal Ekonomi dan Keuangan Islam POSITIF ANDHARUPA CESS (Journal of Computer Engineering, System and Science) Yustitiabelen UNEJ e-Proceeding 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 JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah Wahana Islamika: Jurnal Studi Keislaman Jurnal Teknoinfo Technomedia Journal JURNAL PENDIDIKAN TAMBUSAI Journal of Education Technology YUME : Journal of Management Aptisi Transactions on Management JTP - Jurnal Teknologi Pendidikan Ad-Deenar: Jurnal Ekonomi dan Bisnis Islam 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) An-Nadaa: Jurnal Kesehatan Masyarakat ICIT (Innovative Creative and Information 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 Majalah Ilmiah Dian Ilmu Jurnal Dinamika Ekonomi Syariah ADI Bisnis Digital Interdisiplin (ABDI Jurnal) Shar-E: Jurnal Kajian Ekonomi Hukum Syariah U-Teach: Journal of Young Physics Education Teacher IAIC Transactions on Sustainable Digital Innovation (ITSDI) Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora International Journal of Engineering, Science and Information Technology ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) MAVIB Journal : Jurnal Multimedia Audio Visual and Broadcasting Jurnal Simki Economic Indonesian Journal Accounting (IJAcc) Az Zarqa': Jurnal Hukum Bisnis Islam International Journal of Cyber and IT Service Management (IJCITSM) Jurnal Pembelajaran Fisika International Journal of Biology Education Towards Sustainable Development Media Riset Akuntansi Auditing & Informasi Mutanaqishah: Journal of Islamic Banking Universal Raharja Community (URNITY Journal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Borneo : Journal of Islamic Studies An Nuqud: Journal of Islamic Economics Jurnal Sistem Informasi MAGNETON: Jurnal Inovasi Pembelajaran Fisika Nusantara Journal of Computers and its Applications Al-Fadlan: Journal of Islamic Education and Teaching JAT (Journal of Accounting and Tax) Wahana Islamika: Jurnal Studi Keislaman JENGGALA: Jurnal Riset Pengembangan dan Pelayanan Kesehatan Blockchain Frontier Technology (BFRONT) International Transactions on Artificial Intelligence (ITALIC) Andragogi Jurnal Pendidikan dan Pembelajaran EduBase: Journal of Basic Education PESHUM Southeast Asia Journal on Open and Distance Learning Journal of Computer Science and Technology Application Journal of Digital Market and Digital Currency International Journal Research on Metaverse E-Jurnal Akuntansi
Qurotul Aini
Universitas Raharja
Religion Arts Humanities Astronomy 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Framework for Implementing Green Supply Chain Practices in Indonesian Small and Medium Enterprises Aini, Qurotul; Hardini, Marviola; Hikam, Ihsan Nuril; Green, Thomas
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/23c5gv23

Abstract

The urgent need to address climate change, environmental degradation, and resource depletion has driven the adoption of sustainable business practices globally. For Small and Medium Enterprises (SMEs), particularly in developing countries such as Indonesia, transitioning toward sustainability presents both challenges and opportunities. Green Supply Chain Management (GSCM) offers a comprehensive approach to integrating environmental considerations into every stage of the supply chain, from sourcing raw materials to end-of-life product management. This study develops a practical GSCM framework tailored for Indonesian SMEs, using a qualitative multiple-case study method across three sectors: food, handicrafts, and logistics. Data collection methods included semi-structured interviews, on-site observations, and document analysis, followed by thematic coding and cross-case synthesis. The resulting framework identifies five interrelated components: supplier collaboration, eco-friendly material selection, waste reduction strategies, energy efficiency optimization, and sustainability performance monitoring. The framework is validated through triangulation of data sources and feedback from SME stakeholders. By aligning with the United Nations Sustainable Development Goals (SDGs), particularly Goals 12 and 13, this study provides actionable insights for policymakers, SME owners, and practitioners seeking to enhance sustainability while maintaining operational efficiency.
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.
The Implementation Of Viewboard Of The Head Of Department As A Media For Student Information Is Worth Doing Final Research Aini, Qurotul; Sunarya, Po Abas; Bein, Adrian Sean; nursaputri, Pipit
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.v1i1.1

Abstract

Submission of information is a very important thing that is owned by a system. The system that is made very well will be able to convey good and clear information to its users so that it can communicate well. The more rapid technology has been used by several educational institutions, especially universities, to support the existing learning system. For students who have fulfilled the requirements for conducting final research, it is appropriate to declare to carry out the final research. But the head of the department is still required to come to campus to declare that the student is eligible or not to do the final research. Therefore we need a system that can provide convenience for the Head of Department to declare that students are eligible to do final research that can be accessed online so that it can be accessed anywhere and anytime by the Head of Department and does not need to come to campus because the system still uses local networks. In order to provide convenience and effectiveness for the Head of Department to check and provide eligibility for students eligible for final research which then leads to the maximum service to students. In conducting research research methods used in this study namely observation, interviews and literature study In the process of developing the system the writer uses 4 stages, namely problem identification, planning, designing prototypes and reviewing prototypes. Evidenced by the viewboard of the head of the department of service to students, it was very well fulfilled.
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.
Analisis Gamifikasi iLearning Berbasis Teknologi Blockchain Aini, Qurotul; Lutfiani, Ninda; Zahran, Muhammad Suzaki
ADI Bisnis Digital Interdisiplin Jurnal Vol 2 No 1 Juni (2021): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v2i1.167

Abstract

Gamifikasi, pengaplikasian teknik game mekanik pada konteks non-game, menjadi pilihan utama yang mendasari edukasi saat ini. Gamifikasi edukasi mampu memberikan solusi terhadap masalah-masalah yang timbul akibat metode pembelajaran tradisional yang dianggap kurang sesuai dengan perilaku manusia saat ini. Blockchain telah menjadi topik pembicaraan hangat yang sedang berkembang pesat dalam beberapa tahun terakhir. Blockchain berasal dari suatu komunitas maupun perusahaan dunia yang bertindak sebagai teknologi infrastruktur yang berkembang di berbagai bidang baik industri maupun pendidikan. Kelebihan utama dari blockchain yaitu terbebas dari pihak ketiga sehingga tingkat kemanan, transparansi, dan juga integritas blockchain terbilang cukup tinggi. Saat ini, penelitian mengenai blockchain yang diimplementasikan pada bidang gamifikasi edukasi masih minim jumlahnya. Guna memperluas wawasan mengenai penelitian ini, makalah kami akan mengidentifikasi dan mendiskusikan permasalahan utama terkait edukasi dengan menerapkan gamifikasi edukasi yang diterapkan dengan sistem blockchain. Guna memberikan solusi yang relevan, makalah kami mengusulkan model gamifikasi awal sebagai pondasi dari pengembangan terhadap pengaplikasian dan penelitian mendatang.
Blockchain Education Concept 4.0: Student-Centered iLearning Blockchain Framework Prawiyogi, Anggy Giri; Aini, Qurotul; Santoso, Nuke Puji Lestari; Lutfiani, Ninda; Juniar, Hega Lutfilah Juniar
JTP - Jurnal Teknologi Pendidikan Vol. 23 No. 2 (2021): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v23i2.20978

Abstract

Technological developments encourage digitization in the learning process. Inversely proportional to the results of competency evaluation which are still centralized. Cause competitiveness and competence of students that are not measured quantitatively. The application of micro-teaching can be an option in solving existing problems. Combining gamification and blockchain makes the learning process more enjoyable with game techniques, where activities such as learning, lecture assignments, and assessments are documented transparently and have reliable security. This student-centered learning process is called GamiChain (Gamification Blockchain). This blockchain gamification-based learning application is also an important activity that can be a brilliant breakthrough in education. This application aims to encourage the student creativity ecosystem, to make students have a more competitive spirit to compete with maximum capabilities. And can display learning outcomes in the form of certificates that are accurate in authenticity and can be used in the industrial world. GamiChain can form an official standard of learning by documenting lectures permanently, transparently, and distributed formally and informally into the Blockchain network with the help of smart contracts. The Gamification method in education is used in this research. Results Evaluation of blockchain application in education through GamiChain (Gamification Blockchain) can benefit universities to create official certifications and increase confidence in student scores transparently and sustainably that they can control.
Peran UMKM Lokal dalam Menguatkan Ekonomi Pesantren melalui Kemitraan Berbasis Syariah: Studi di Pondok Pesantren Syubbanul Wathon Magelang Muna, Fauzul; Pudail, M.; Aini, Qurotul
Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora Vol. 11 No. 2 (2025): Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora
Publisher : Institut Agama Islam Sultan Muhammad Syafiuddin Sambas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37567/alwatzikhoebillah.v11i2.4339

Abstract

This study examines the role of local MSMEs in strengthening the economic independence of Islamic boarding schools through sharia-based partnerships at Pondok Pesantren Syubbanul Wathon, Magelang. The research employed a case study with a qualitative approach using interviews, observations, and documentation. Findings reveal that the partnership between the pesantren and local MSMEs is implemented through a mudharabah-based consignment system, where MSMEs act as product suppliers and the pesantren provides market access via its canteen unit. This partnership generates mutual benefits: the pesantren secures a sustainable internal source of income, while MSMEs gain access to a stable market. Furthermore, students actively participate in canteen management, acquiring entrepreneurial skills relevant to current economic demands. Thus, this collaboration not only strengthens the pesantren’s economic independence and empowers local MSMEs but also fosters social cohesion by enhancing the relationship between the pesantren and surrounding communities.
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.
Co-Authors Aa Mustopa AA Sudharmawan, AA Abas Sunarya, Po Abdul Abdul Arribathi Abdul Hamid Arribathi Abdul Hayat Achmad Badrianto Achmad Nizar Hidayanto Adam Faturahman Ade Iriani Adi Fahrudin Aditiya Lityanian Al Nasir Afitri, Afni Agung Rizky Ahmad Roihan Ahmad Roihan, Ahmad Aisiyah, Nurul Aisiyah Akhmad Taufik Akhmadi Abbas, Akhmadi Al Anwar, M. Albertus Djoko Lesmono Alfiah Khoirunisa Alfiah Khoirunisa Alfiah Khoirunisa Alfian Dimas Ahsanul Rizki Ahmad Alfiansah, Reza Alwiyah Alwiyah Amelia, Sindy Ameliya, Ratna Aminuyati Amroni, Amroni Ana Nur Filiya Ana, Yuli Anam, Reza Khaerul Ananda, Aulia Rahma Andhika Dwi Putra Angga Febrianto, Angga Anggi Ariyanti Anggraeni, Mey Anggun Oktariyani Anggy Fatillah Anggy Giri Prawiyogi Anisatur Rofiqah, Siti Anjani, Sheila Aulia Anoesyirwan Moeins Anoesyirwan Moeins Anoesyirwan, Anoesyirwan Apriliasari, Dwi Ardila, Natta Arief Muhammad Nurhasan Arifah Aristo, Nabila Cynthia Arribathi, Abdul Abdul Asep Saefullah Astriyani, Erna Aulia Edliyanti Ayi Rakhmat Ramdani Ayu Martha Wardani Ayu Sanjaya, Yulia Putri Ayyusuf, Imanul Achmad Al Amir Azis, Priyatna Abdul Badrianto, Achmad Bein, Adrian Sean Bist, Ankur Singh budiarty, frizca Cahyo Anggoro Seto Cheetah Savana Putri Daelami Ahmad Danny Manongga Danny Pratama Desi Sartika Desi Suci Handayani Desy Apriani Dewi Mariana Apriani Dewi Marliyana, Soerya Dewi, Shylvia Ratna Dewi, Tri Rachma Dewi, Yustin Novita Diah Aryani Diah Aryani Diah Aryani, Diah Dian Mustika Putri Dwi Nur Ramadhan Dyatmika, Sutama Wisnu Edward Guustaaf Efa Ayu Nabila Efendy, Rifan Effendi Effendi Eko Sediyono Elmanda, Vonda Endah Retnani Wismaningsih, Endah Retnani Erawati, Meisa Erick Febriyanto Euis Sitinur Aisyah Fahmi, Qoedbudin Fajariya, Ainun Qorif Farida Agustin, Farida Faturahman, Adam Fauzul Muna Febiani, Dyah Ayu Femi Allamiah Femi Allamiah Fernanda Setyobudi Armansyah Feti Fatimah Fika Rizkia Firman Hanafi Fitra Putri Oganda Fitri Faradilla Fitriani, Radifa Rahma Fitriawati, Noura Fitriyani, Yeny Fuad Akhmad Yanuar Rifai Fuad, Azharul Ginting Munthe, Rusli Girinzio, Iqbal Desam Goh, Thomas Sumarsan Green, Thomas Guustaaf, Edward Handayani, Indri Hani Dewi Ariessanti Hani Dewi Ariessanti Harahap, Eka Purnama Harlis Setiyowati Harries Madiistriyatno Harries Madiistriyatno, Harries Haryandi, Yopi Henderi Hendra Kusumah Hendra Setiawan Heni, Tianna Hikam, Ihsan Nuril Iim Ilmiah Agustina Ikhsan, Ramiro Santiago imam sukwatus sujai Indahtul Mufidah Indri Handayani Indri Handayani Indri Handayani, Indri Irwan Sembiring Irwin, Rubin Hakita Isabella Yaumil Annisa Istighosah, Nurul Iswachyu Dhaniarti Iwan Ridwan Joko Tri Prasetyawan Julianingsih, Dwi Juniar, Hega Lutfilah Juniar Karwandi Karwandi Karwandi, Karwandi Khairunisa, Alfiah Khoirunisa, Alfiah Khoirunisa, Alfiah Khoirunisa, Alfiah Khoirunisa, Alfiah Kristanti, Citra Yulian Leffia, Abigail leli honesti Lestari Santoso, Nuke Puji Lestari, Fauziyyah Husna Nurdiayanah Lidya Wijayanti Lim, Clara Pasha Luthfiya, Lulu' M. Pudail Made Bunga Thalia Maharani, Afnida Putri Maharani, Herliana Wahyu Marjayanti, Eka Marviola Hardini Maulana, Sabda Maulidan Firdaus Meilinda Lana Yahya Meisa Erawati Meytasari, Rista Miftakhul Khasanah Millah, Shofiyul Mochamad Heru Riza Chakim Mochamad Mansur Moh. Yusuf Dawud Mohammed Iftequar Ali Mohammed, Datu Muhamad Abdul Roziq Asrori Muhamad Yusup Muhammad Iqbal Muhammad Suzaki Zahran Muhammad Suzaki Zahran Muhammad Widyo Wartono, Muhammad Widyo Muhibin, Ahmad Mukti Budiarto Muna Nabila Ovia Afirka Mustofa, Kenny Ilyas Nabila, Efa Ayu Nasiroh, Fandilatun Natalia, Ester Ananda Naurah, Syahla Neng Enay Nesti Anggraini Santoso Ninda Lutfiani Ningsih Dewi Sumaningrum, Ningsih Dewi Novi Cholisoh Novita Heriyani Novita Sari Novitasari, Dewiana Nugraheni, Latif Sofiana Nuke Puji Lestari Santoso Nur Azizah NURAENI, RANI Nuraini, Ana Nurani, Dita Lintang Nuril Huda Nurissalma, Maulidiyah nursaputri, Pipit Oktaviani, Fanni P. O. H. Putra Panca Oktavia Hadi Putra Pasha, Lukita Permatasari, Silvia Pertiwi, Komala Dwi Pibriyanti, Kartika Po Abas Sunarya Prasetiyorini, Pudhak Prianingsih, Farida Ika Prihastiwi, Wahyu Yustika Primasatria Edastama Primawan, Afan Pudail, M. Puji Lestari Santoso, Nuke Puranti, Ayu Purnama Harahap, Eka Purwanto, Purwanto Putri, Dian Mustika Putri, Khairunnisa Hasna Queen, Zabenaso Rahardja.,M.T.I.,MM, Dr. Ir. Untung Rahman Rahman Raihan Raihan, Raihan Rakhman Wibowo, Fajar Ramadan, Ahmad Ramadhan, Tarisya Rawat, Bhupesh RH. Fitri Faradilla Rifai, Fuad Yanuar Ahmad Rini Rindrayani, Sulastri Riska Laina Ulfa Risydiyani, Wilda Rizki Galang Rahmadani Romzi Syauqi Naufal Rostikawati, Diana Ayu Rosyida, Alya Ruli Supriati, Ruli Sabda Maulana Salam, Rahmat Santoso, Nesti Anggraini Santoso, Nuke Puji Lestari Sasono, Ipang Saulina Panjaitan, Aropria Septian, Rafly Ananda Dwi Septiani, Nanda Setiawan, Muhammad Ikhsan Setiwawan, Asep Shylvia Ratna Dewi Sihotang, Sondang Visiana Silawati, Emira Tri Silvia Permatasari Simbolon, Rosdiana siti Nurindah Sari Siti Ria Zuliana Siti Ria Zuliana, Siti Ria Solihin, Danna Somantri, Somantri Spits Warnar, Harco Leslie Hendric Sri Wahyuni Sri Yulianto Joko Prasetyo Suci, Kitab Sudaryono Sudaryono Sugeng Santoso Sugeng Santoso Sulastri Rini Rindrayani Sulastrini, Lily Ratna Sulistiawati Sulistiawati Sulistiawati Sulistiawati, Sulistiawati Sunarjo, Richard Andre Supriyanti, Dedeh Supriyati, Ruli Suryaman, Fitria Marwati Suryari Purnama Suryari Purnama Susilo, David Kristian Sutarto Wijono Sutedja, Indrajani Tan, Pauline H. Pattyranie Tangkaw, Melani Rapina Taqwa Hariguna Taqwa Hariguna Tarisya Ramadhan Tasya Novelia Thomas Green Tri Astuti Handayani Triana Kusumaningsih Umi Kulsum Untung Rahardja Utami, Noviani Van Persie, Iky Vatmala, Viyayanti Venty Suryanti Vivid Kristiani Alfad Zebua Wahid, Syahrul Mu'Arif Wahyu Yustika Prihastiwi Wardani, Ayu Martha Wardhani, Listinia Wibowo, Yohanes Gunawan Widhy Setyowati Yeny Fitriyani Yessy Oktavyanti Yoke Dwi Martianda Setiaji Yuliana Isma Graha Yuliana Yuliana Yulianto Yulianto Yulianto Yulianto Zaharuddin Zaharuddin, Zaharuddin Zahran, Muhammad Suzaki