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Bangsa JURNAL EKSPERIMENTAL : Media Ilmiah Pendidikan Guru Madrasah Ibtidaiyah MILRev: Metro Islamic Law Review JRIIN :Jurnal Riset Informatika dan Inovasi ISCO Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Pengabdian Masyarakat (Jupemas) Jurnal Quancom: Jurnal Quantum Komputer Jurnal Pengabdian Masyarakat dan Riset Pendidikan BATOBO: Jurnal Pengabdian Kepada Masyarakat Indev: Literasi Media Dakwah dan Pengembangan Masyarakat EduInovasi: Journal of Basic Educational Studies MADIKA: Jurnal Politik dan Governance Jurnal Penelitian Pendidikan Indonesia (JPPI) Jurnal Sosial Ekonomi Perikanan Jurnal Pengabdian Kepada Masyarakat Meambo Journal of Authentic Research MERDEKA: Jurnal Ilmiah Multidisiplin Jurnal Al-Mubarak: Jurnal Kajian Al-Qur'an dan Tafsir Jurnal Imiah Pengabdian Pada Masyarakat (JIPM) Jurnal Teknik dan teknologi tepat guna Jurnal Pengabdian Masyarakat Bangsa The Indonesian Journal of Computer Science Majalah Pengabdian Indonesia Jurnal Manajemen Bisnis dan Keuangan JCSE: Journal of Community Service and Empowerment Jurnal MediaTIK Macca: Science-Edu Journal TARBIYAH: Jurnal Pendidikan Agama Islam Journal Information Technology Trends International Journal of Economics, Business and Innovation Research JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Hikamatzu Journal of Multidisciplinary Research Emitor: Jurnal Teknik Elektro LEMBARAN PUBLIKASI MINYAK DAN GAS BUMI Jurnal Riseta Soshum El-Madaniyah: Jurnal Pengabdian Masyarakat Journal of Community Service Jurnal Riset Multidisiplin Edukasi AT-TAKLIM: Jurnal Pendidikan Multidisiplin INOVASI: Jurnal Ekonomi, Keuangan, dan Manajemen Journal of Engineering Science and Technology Applications DARUSSALAM: Scientific Journal of Islamic Education JMP : Jurnal Mahasiswa Pemerintahan Journal of Statistics and Data Science Jurnal Pgmi Uniga UPEJ : Unnes Physics Education Journal As-Sulthan Journal of Education JURNAL PENDIDIKAN DAN KEBUDAYAAN MISSIO Journal of Primary Education Innovation and Research INTENS Jurnal Inovasi Sains Teknologi dan Bisnis Cognitia : International Engineering Journal Melayunesia Law JUPIKMAS Innovasi : Jurnal Inovasi Pendidikan Jurnal Kajian Pendidikan Teknik Bangunan SPEKTRA: Jurnal Kajian Pendidikan Sains
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Revolusi Pembelajaran Adaptif Berbasis AI dalam Pengembangan SDM dan Dampaknya terhadap Daya Saing Ekonomi Firdaus; Pettalongi, Sagaf S.; Harianto, Jakoep Ezra
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 8 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss8pp2289-2297

Abstract

The advancement of artificial intelligence (AI) has driven a revolution in adaptive learning systems, playing a crucial role in human resource development (HRD). AI-based adaptive learning enables the personalization of learning methods according to individual needs, thereby enhancing efficiency and effectiveness in workforce skill development. This study aims to analyze how the implementation of AI-driven adaptive learning accelerates competency enhancement in human resources and its impact on economic competitiveness. Using a qualitative approach based on literature review and library research, this study explores various AI-based learning models applied in HRD, along with the challenges and opportunities in their implementation. The findings indicate that AI-driven adaptive learning not only improves training effectiveness but also creates a workforce that is more responsive to technological changes and industry demands. Furthermore, AI contributes to operational efficiency by reducing conventional training costs and increasing workforce productivity. However, challenges such as the digital divide, data security, and organizational readiness for AI adoption remain obstacles that need to be addressed. This study emphasizes that the adoption of AI-based adaptive learning must be supported by progressive education and labor policies to maximize its impact on a nation's economic competitiveness
PEMBUATAN PAPAN PENANDA DESA SEBAGAI UPAYA UNTUK MEMBERIKAN KEMUDAHAHAN MASYARAKAT UNTUK MENGETAHUI RUMAH APARAT DESA KABBA KEC. MINASATENE KAB. PANGKAJENE DAN KEPULAUAN Wahyudi, Andi Ardhila; Hadaming, Hamdana; Firdaus; Nurlindah; Fadila Haerunnisa, Nurul
Jurnal Pengabdian Kepada Masyarakat Patikala Vol. 2 No. 2 (2022): Jurnal PkM PATIKALA
Publisher : Education and Talent Development Center of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/patikala.v2i2.593

Abstract

Permasalahan yang terjadi di beberapa titik jalan yang melewati jalan Desa Kabba terdapat beberapa kerusakan jalan yang perlu diperbaiki dan dibutuhkan beberapa plakat atau papan penunjuk jalan keluar masuk desa, plakat petunjuk kantor dan kediaman RT/RW, perlu dibuat untuk mempermudah warga pendatang ketika masuk ke Desa Kabba. Kegiatan pengabdian masyarakat ini dimulai dengan mengadakan survey lapangan atau tempat-tempat yang akan dipasang papan petunjuk. Setelah menemukan lokasi yang akan dipasang papan maka langkah selanjutnya adalah membuat plakat atau papan dengan membeli alat serta bahan yang diperlukan. Setelah selesai pembuatan plakat maka dilanjutkan dengan pengecatan yang kemudian dilanjutkan dengan pemasangan plakat yang dilakukan oleh mahasiswa dibantu oleh masyarakat setempat. Papan atau plakat dibuat berjumlah 25 buah meliputi papan penunjuk rumah perangkat RT dan RW di Desa Kabba. Kegiatan dilaksanakan di Desa Kabba Kecamatan Minasatene di 18 RT, 4 RK, 2 Dusun dan 2 Desa, kegiatan ini terlaksana dengan baik atas dukungan dan bantuan warga desa karena hal ini menyangkut kepentingan orang banyak. Tidak ada hambatan yang cukup berarti dalam proses persiapan, pelaksanaan hingga evaluasi kegiatan ini hanya saja proses pengerjaannya membutuhkan waktu yang lama. Pembuatan dan pemasangan papan atau plakat penunjuk jalan ini adalah sebagai bentuk partisipasi, koordinasi dan keterlibatan aktif baik mahasiswa, dosen dan warga desa sekitar.
“Data-Driven Decision Making”: Pengenalan Statistika dan Pemanfaatannya di SMA IT Iqra Kota Bengkulu Firdaus; Rachmawati, Ramya; Hidayati, Nurul; Damayanti, Septri; Yosmar, Siska
Jurnal Pengabdian Masyarakat Bumi Rafflesia Vol. 8 No. 1 (2025): APRIL: Jurnal Pengabdian Kepada Masyarakat Bumi Raflesia
Publisher : Universitas Muhammadiyah Bengkulu

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Abstract

Kemampuan mengambil keputusan yang baik merupakan kebutuhan esensial bagi siswa. Terdapat banyak metode dalam mengambil keputusan, salah satunya adalah Data-Driven Decision Making, yaitu pengambilan keputusan berdasarkan analisis data. Pentingnya peran data dalam menentukan pengambilan keputusan berdasarkan data belum utuh dipahami oleh siswa SMA IT Iqra Kota Bengkulu karena kurikulum pada jenjang SMA terbatas pada statistika deskriptif yang meliputi pengenalan ukuran pemusatan, ukuran penyebaran, dan visualisasi data. Program Pengabdian Kepada Masyarakat (PkM) dengan judul “Data-Driven Decision Making”: Pengenalan Statistika dan Pemanfaatannya di SMA IT Iqra Kota Bengkulu bertujuan untuk mengenalkan analisis korelasi dan regresi yang dapat digunakan untuk mendukung pengambilan keputusan. Pelaksanaan PkM dilaksanakan secara klasikal dengan penyampaian materi dan pelatihan langsung dengan memanfaatkan Bahasa pemrograman RStudio. Evaluasi program PkM yang dilakukan dengan memberikan pre-test dan post-test menunjukkan bahwa terdapat perbedaan rata-rata hasil pemahaman sebelum dan setelah mengikuti kegiatan. Hal ini dapat diinterpretasikan bahwa kegiatan PkM memberikan pengaruh terhadap pemahaman siswa pengambilan keputusan berdasarkan analisis data.
PENERAPAN MODEL PEMBELAJARA PBL BERBANTUAN APLIKASI CANVA UNTUK MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS IV SD INPRES 6/75 MANURUNGE Firdaus; Kadir, Abd; Hasrawati
MACCA : Science-Edu Journal Vol. 2, No.2 (2025): Juni 2025
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/msej.v2i2.3100

Abstract

This research is classroom action research which aims to determine descriptions of teacher activities, student activities, and learning outcomes in implementing the PBL learning model assisted by the Canva application to improve mathematics learning outcomes for class IV students at SD Inpres 6/75 Manurunge. Data collection techniques use observation and tests. The data analysis techniques in this research are data reduction, data presentation, and drawing conclusions. The research results showed that teacher activities in managing learning experienced an increase in the optimal learning process from cycle I to cycle II seen from teacher activities in implementing good learning designs in accordance with the steps of the PBL learning model assisted by the Canva application. Student activity in participating in the learning process has increased from cycle I to cycle II as seen from the results of observations during the learning process using observation sheets. As for student learning outcomes in cycle I, there were 14 out of 20 students who were complete with an average score of 76.25 with a percentage of student learning completeness reaching 70% (fair), while student learning outcomes in cycle II were 17 out of 20 students achieving a complete score with an average score of 87.25 with a percentage of student learning completeness reaching 85% (good). It can be concluded that the PBL learning model assisted by the Canva application can improve student Mathematics learning outcomes.
PENERAPAN MODEL DISCOVERY LEARNING UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS SISWA DALAM PEMBELAJARAN MATEMATIKA KELAS IV SD NEGERI 9 TA KECAMATAN TANETE RIATTANG KABUPATEN BONE Firdaus; Kadir, Abd; Putri Faisal, Sri Afriani
MACCA : Science-Edu Journal Vol. 2, No.2 (2025): Juni 2025
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/msej.v2i2.3101

Abstract

This study was motivated by the application of the Discovery Learning model to improve students' critical thinking skills in learning mathematics class IV SD Negeri 9 TA Tanete Riattang District, Bone Regency. The objectives of the study were 1) to describe teacher activities in the application of the Discovery Learning model in learning mathematics in class IV SD Negeri 9 TA Tanete Riattang District, Bone Regency. 2) to describe students' activities in the application of the Discovery Learning model in learning mathematics in class IV of SD Negeri 9 TA Tanete Riattang District, Bone Regency. 3) to determine the improvement of students' critical thinking skills in learning mathematics in class IV SD Negeri 9 TA through the application of the Discovery Learning model. The approach used in this research is descriptive qualitative. The subjects in this study were all fourth grade students totaling 28 people and the fourth grade homeroom teacher. The data collection techniques used were observation, tests, and documentation. Data analysis techniques by reducing data, presenting data, and drawing conclusions. Based on the results of the research that has been carried out, students' critical thinking skills have increased through the Discovery Learning learning model. This can be seen from the results of the first cycle test reaching the moderately critical category and in cycle II reaching the critical category. It can be concluded that the Discovery Learning model can improve students' critical thinking skills in learning mathematics.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE TAI BERBASIS BAAMBOOZLE UNTUK MENINGKATKAN HASIL BELAJAR SISWA KELAS IV SD INPRES 12/79 ARASOE Firdaus; Asriadi; Pratiwi, Tasyah
MACCA : Science-Edu Journal Vol. 2, No.2 (2025): Juni 2025
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/msej.v2i2.3102

Abstract

This research is classroom action research which aims to find out how the application of the TAI type cooperative learning model based on Baamboozle can improve the Mathematics learning outcomes of fourth grade students at SD Inpres 12/79 Arasoe, Cina District, Bone Regency. The approach used in this research is descriptive qualitative. The subjects in this research were all 17 class IV students and the class IV homeroom teacher. Data collection techniques use observation and tests. The data analysis techniques in this research are reducing data, describing data and drawing conclusions. The research results showed that teacher activity in processing learning experienced an optimal increase from cycle I to cycle II as seen from teacher activity in carrying out good learning activities in accordance with the steps of the Baamboozle-based TAI type cooperative learning model. Student activity in participating in learning activities has increased from cycle I to cycle II as seen from observations during learning activities using observation sheets. As for student learning outcomes in cycle I, there were 12 out of 17 students who got a complete score with an average score of 70.88 with a percentage of student learning completeness reaching 70.58% (enough), and experiencing an increase in cycle II there were 14 out of 17 students who got a complete score with an average score of 78.52 with a percentage of student learning completeness reaching 82.35% (good). It can be concluded that the TAI type cooperative learning model based on Baamboozle can improve students' Mathematics learning outcomes
PENERAPAN MODEL PEMBELAJARAN CONTEXTUAL TEACHING AND LEARNING BERBANTUAN CANVA DALAM MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS IV SD NEGERI 12 MANURUNGE Wahyuni, Wiani; Firdaus; Sabir, Achmad
MACCA : Science-Edu Journal Vol. 2, No.2 (2025): Juni 2025
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/msej.v2i2.3110

Abstract

This research is classroom action research which aims to determine descriptions of teacher activities, student activities, and learning outcomes in implementing the Canva-Assisted CTL learning model in Improving Mathematics Learning Outcomes for grade IV students at SD Negeri 12 Manurunge. The subjects in this research were all 23 grade IV students and the homeroom teachers. Data collection techniques use were observation and tests. The data analysis techniques in this research are data reduction, data presentation, and drawing conclusions. The research results showed that teacher activities in managing learning experienced an increase in the optimal learning process from cycle I to cycle II seen from teacher activities in implementing good learning designs in accordance with the steps of the CTL learning model assisted by Canva. Student activity in participating in the learning process has increased from cycle I to cycle II as seen from the results of observations during the learning process using observation sheets. As for student learning outcomes in cycle I, there were 16 out of 23 students who completed with an average score of 79.1 with the percentage of student learning completeness reaching 69.57% (sufficient), while student learning outcomes in cycle II were 20 out of 23 students achieving a score. completed with an average score of 87.6 with a student learning completion percentage reaching 86.9% (good). It can be concluded that the Canva-assisted CTL learning model can improve student Mathematics learning outcomes.
Identification of Indonesian Authors Using Deep Neural Networks Firdaus; Fahreza, Irvan; Nurmaini, Siti; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Rachmatullah, Muhammad Naufal; Lestari, Suci Dwi; Fachrurrozi, Muhammad; Afrina, Mira; Putra, Bayu Wijaya
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 1 (2022)
Publisher : Universitas Sriwijaya

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Abstract

Author Name Disambiguation (AND) is a problem that occurs when a set of publications contains ambiguous names of authors, i.e. the same author may appear with different names (synonyms) in other published papers, or author (authors) who may be different who may have the same name (homonym). In this final project, we will design a model with a Deep Neural Network (DNN) classifier. The dataset used in this final project uses primary data sourced from the Scopus website. This research focuses on integrating data from Indonesian authors. Parameters accuracy, sensitivity and precision are standard benchmarks to determine the performance of the method used to solve AND problems. The best DNN classification model achieves 99.9936% Accuracy, 93.1433% Sensitivity, 94.3733% Precision. Then for the highest performance measurement, the case of Non Synonym-Homonym (SH) has 99.9967% Accuracy, 96.7388% Sensitivity, and 97.5102% Precision.
Forecasting Of Intensive Care Unit Patient Heart Rate Using Long Short-Term Memory Firdaus; Fachrurrozi, Muhammad; Nurmaini, Siti; Tutuko, Bambang; Rachmatullah, Muhammad Naufal; Darmawahyuni, Annisa; Sapitri, Ade Iriani; Islami, Anggun; Maharani, Masayu Nadila; Putra, Bayu Wijaya
Computer Engineering and Applications Journal (ComEngApp) Vol. 12 No. 3 (2023)
Publisher : Universitas Sriwijaya

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Abstract

Cardiac arrest remains a critical concern in Intensive Care Units (ICUs), with alarmingly low survival rates. Early prediction of cardiac arrest is challenging due to the complexity of patient data and the temporal nature of ICU care. To address this challenge, we explore the use of Deep Learning (DL) models, specifically Long ShortTerm Memory (LSTM), Bidirectional LSTM (BiLSTM), and Gated Recurrent Unit (GRU), for forecasting ICU patient heart rates. We utilize a dataset extracted from the MIMIC III database, which poses the typical challenges of irregular time series data and missing values. Our research encompasses a comprehensive methodology, including data preprocessing, model development, and performance evaluation. Data preprocessing involves regularizing and imputing missing values, as well as data normalization. The dataset is partitioned into training, testing, and validation sets to facilitate model training and evaluation. Fine-tuning of hyperparameters is conducted to optimize each DL architecture's performance. Our results reveal that the GRU architecture consistently outperforms LSTM and BiLSTM in predicting heart rates, achieving the lowest RMSE and MAE values. The findings underscore the potential of DL models, particularly GRU, in enhancing the early detection of cardiac events in ICU patients.
TeleOTIVA: Advanced AI-Powered Automated Screening System for Early Detection of Precancerous Lesions Rachmatullah, Muhammad Naufal; Nurmaini, Siti; Agustiansyah, Patiyus; Sastradinata, Irawan; Arum, Akhiar Wista; Firdaus; Darmawahyuni, Annisa; Tutuko, Bambang; Sapitri, Ade Iriani; Islami, Anggun
Computer Engineering and Applications Journal (ComEngApp) Vol. 14 No. 1 (2025)
Publisher : Universitas Sriwijaya

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Abstract

In 2023, the Indonesian Ministry of Health launched the Rencana Aksi Nasional (RAN) to enhance the detection and management of cervical cancer in Indonesia. One of the main pillars in this movement is the implementation of early screening for precancerous lesions aimed at identifying and treating these lesions before they develop into cervical cancer. This effort includes improving public access to healthcare services, providing education and awareness about the importance of early detection, and utilizing the latest technology in screening procedures. It is hoped that, through these targeted and effective interventions, the incidence of cervical cancer can be significantly reduced. This research aims to facilitate the early detection screening process for cervical precancerous lesions, particularly in difficult areas for medical experts to reach. This study also seeks to assist obstetricians and gynecologists in detecting precancerous lesions automatically, quickly, and accurately. By developing an advanced technology-based screening system, it is hoped that early detection of precancerous lesions can be carried out more efficiently, thereby increasing the chances of timely treatment and reducing the incidence of cervical cancer across various regions in Indonesia. This system is designed to provide reliable and user-friendly diagnostic support as it is developed on a mobile platform that can be accessed anytime and anywhere. This research developed a system for early screening called TeleOTIVA. The TeleOTIVA application system is an advanced platform that uses artificial intelligence (AI) based approaches to provide optimal services in early detection of precancerous lesions. This application is designed for mobile, allowing users to access and use its advanced features anytime and anywhere. With the integration of AI technology, TeleOTIVA can detect and analyze cervical precancerous lesions accurately and quickly to provide accurate and efficient screening results. The TeleOTIVA application system is capable of providing satisfactory detection results. The performance of the proposed model achieves accuracy, sensitivity, and specificity levels above 90%. With this high performance, TeleOTIVA ensures that the detection of precancerous lesions is carried out with high reliability and precision, instilling greater confidence in healthcare professionals and users during the screening and diagnosis process. The implementation of our application model offers numerous advantages over traditional methods. It significantly enhances efficiency by automating processes, reduces human error through rigorous error-checking mechanisms, and accelerates the processing of large datasets. These improvements streamline operations and ensure more reliable and rapid data analysis.
Co-Authors A. Syachruroji Abd Kadir, Abd Abd. Kadir Abdi Suprayitno Abdul Basir, Muchammad Abdul Gafar Karim Abdul Gafara Karim Abdul Haris Sunubi Abdul Kadir Abiyyu Caesar Bimoseno Aboalela, Nahi Hashim Fathi Abu Bakar Abubakar, Achmad Achmad Yarziq Mubarak Salis Salamy Ade Hidayat, Ade Ade saputra Ade Saputra Adhe Amelia Oktaviana adhit syach fiqri Adi, Nugroho Prasetya Adyatma Ramadhani Afrida Afuan, Muhammad Agnes Triana Pamassangan Agus Munandar Agustiani, Dian Putri Ahmad Fauzul Mubin Ahmad Julio Saputra Ahmad Khoiri Ahmad Lahmi Ahmad Mujahid Ainania Aura Sabriena Putri Aisyah Ajeng Siti Nurul Kharima Akbar, Rizky Akhwalis Shalihah Akhyar Akolo, Ingka Rizkiyani Al Fauzi, Muh. Reyhan Al Imran Alam Budiman Thamsi Albarahmeh, Mohammad Yusuf Musa Aldi Suryadi Alexsander Alfalah Alfalisyado Ali Imron Ali Muchammad Aliana, Cut Rizka Aliyah Sayyidina Putri Bahtiar Alvin Arinanda Alvita Widya Kustiawan Putri Ambarwati, Riris Ambo Dalle Amin , Sulvahrul Aminullah, Lanang Maulana Amir Hamzah Amir Hamzah Amiruddin Ammase. S Amru Sofian Ananda, Dea Agustria Ananda, Kristian Anasrul Andi Fahdli Heriansyah Andi Khaerun Nisa Andi Zulfikar Darussalam Andikawati Fitriasari Andini Hardiningrum Andry Halim ANISAH Anjani, Dito Fatria Annisa Efidiawati Annisa Salsabilla Ansar, Lukman Anshari, Erwin Anwar, Ardian Aprilino Alfa Kurmasela Apriwandi Apriyal, Derry Ardani, Maulidya Ardiansyah, Diky Ardillah, Ardiyah Arfah, Susilo Ariana Ari Sandhyavitri Arif Ahmad Marzuki, Mudzakkir Muhammad Arif Nurwaskito Arifin, Mubdiana Arman Hari Susilomarto Arqam Arrachman Arum, Akhiar Wista Ashafidz Fauzan Dianta Ashari, Meisar Asih Vivi Yandari, Indhira aska, bayu pratama Aslam, Beni Asri Friantori, Mohammad Asriadi Asril Aswini, Nur Atik Rahayu Aulia Miranti Larasathi Awaliah Nafiu, Wd Rizky Awaliah, Wd Rizky Awaluddin Muin Ayu, Friska Azhari Zakri, Azriyenni Azharuddin Azzahraty Bagus Abdillah Baharuddin Baharuddin Bakri, Suriyanto Bakti, Rizki Yusliana Bambang Tutuko Banta Diman Baskoro, Aji Basra, Sri Meiweni Bayu Wijaya Putra Bhima Nareshwara , Adhitya Billy Hendrik Bony Pramono Boy Ihsan Budiman Sakti Burhanuddin, Fathurrahman Cendana , Dori Mitra Chalik, Citra Aulian Daffa Wahid Sya'bani Darmawahyuni, Annisa Dasrizal Marah Nainin Della Endangtri Deniyatno, Deniyatno Deny Fatrianto Edyzoh Eko Widodo Deny Fatryanto Desminar Desnita, Eka Dessy Ana Sari Desti Nurdiana Dharma, Robby Dian Pertiwi Dian Yayan Sukma, Dian Yayan Dimas Bagus Susanto Dimas Satrio Wijaksono Dinda Lestarini Dinul Akhiyar Dodi Setiawan Riatmaja doni doni Dony Hutabarat Duski Samad Dwi Angesti Putri , Refly dwi cahyani, Orina Edi Wanda Edi Winarno Edi Winarno, Edi Edy Mahfuz Eka Damayanti Eka Ganda Winata , I Putu Eka Putri Rahayu Ekawati, Rizka Eko Nursalim Elda Nazriati Elfira Makmur Eli Trisnowati Elimartati Elimartati Elma Rida Yanti Elvira Sukma Wahyuni Enrico Alamo Erika Maulina Ervia Toga Erwandi Mohamad Haron, Didi Erwina Oktavianty Ery Safrianti Fadila Haerunnisa, Nurul Fadilla Malik, Topan Fahmi, Merdila Nuril Fahreza, Irvan Fahrulriza, Teuku Fajariyanto, Eko Fakhrurrazi Fatma Fausiah Latif Fazilatunnisa, Azwa Felycitae Ekalaya Appa Fenita Tanjung Maharani Firman Firmanto, Taufik FITRIANTI Fitriyani Fri Murdiya, Fri Fuadi, Mhd Yusral Gemala Jondya, Aisha Genius Umar Ghaly Risyadi GHANY, ABDUL Gihon Nakata Silaen Guslendra Habas Addawy, Rauzan Habibulloh Hadaming, Hamdana Haerudin Hafid, Fathurrahman Halim, Desty Vitrya Halimah Basri Hamdani Hamdani, Eddy Hamriyani Ryka Hamzah, Ekawati Hanalde Andre HANDAYANI Haratua Tiur Maria Silitonga Harianto, Jakoep Ezra Harifuddin Harmiati Hartono Hartono Hasrawati Hati, Hikmah Hayat, Misbahul Heldy Febryanto Hellen Thesta Fanessia Hengki Firmanda Heris Santy, Wesiana Herlinawati Hermawan Hermawan Hidaayah, Nur Hidayat , Syukriadi Hidayatullah, M. Musa S. Hilda Ashari Hilda Delavari HS, Muhammad Alwi Ida Fujari Ifada, M.Zakian Iin Darmiyati Ilham Eka Putra Ilham, Fadli Imam Fakhruddin Imam Suri Tauladan Imron Ghozali Imrona Hayati Indriyanti Ipan Sampe Irfan Wahyu Ramadhan Iriana Bakti Irmawan, Muhammad Ishyang, Ishyang Isjoni Isjoni Iskandar Abdul Samad Islami, Anggun Isniatun Munawaroh Iswani, Resti Jaffar, Mohammad Najib Jalil, Feranita Jamaludin, Muhamad Jan Friadi Sinaga Jatmiko, Muhamad Roby Johannes Joko Wiyono Judyanto Sirait Jumadi Mabe Parenreng Jumria Junaidi Junaidi Kalalinggi, Septaria Yolan Karnila Willard Kartika Choriah Kasman Kasmidin Kazuba, Mahfudz Krisnawati, Dyah Ika Kunaenih Kurniawan, Anggy Tias La Ode Asrun Azis R Laili Tri Lestari Lanang Maulana Aminullah Leonardo Valinka Lilik Pranata Lusiana, Herlina Lusiana, Herlina Luthfiyah Atisa Fadhilah Lu’lu’ Il Qolbie M A Jati Purnomo M Subagus M. Fadillah Al Hidayah M. Halim, M. M. Haris M. Nur Mukmin M., M. Ghalib M., Taufik M.Yoghi Satria Maharani, Dwi Sinta Maharani, Masayu Nadila Mahmud Hibatul Wafi Maladewi, Nur Malik, Muhammad Hisyam Manik, Nijusiho Mardhiah Masril Marfalino, Hari Marhadi Efendi Marpaung, Mario Johannes Marwan Kamaruddin Maulana, Tarmizi Mayangsari, Yayu Rahmawati Mayhilda Nitami Mega Fatimah Rosana Mery Susantri Mery Susantri Metha Aditya Putri Meydy Fauziridwan Mhd. Hanafi Michelle Rafael Waw Mila Ariyani Milaningrum, Kartika Mileni Wahidah Mili, Marwan Zam Mira Afrina Mirwan Mochamad Yogi Febriansyah Mochammad Imron Awalludin Mohammad Lutfi Mohammad Munib Rosadi Muarif Mufti Hasan Alfani Muh. Ikbal, Muh. Muh. Yunus Ali Muh. Yusuf Mappeasse Muhamad Ajrin Muhamad Anggun Novembra Muhammad Muhammad Arfan Wijaya, S Muhammad Arif Muhammad Fachrurrozi Muhammad Faisal Muhammad Najib Al Adib Muhammad Naufal Rachmatullah Muhammad Syahdan Fachrurrozy Muhammad Taufiq Muhammad Vijaya Waluddin Muhammad Zulfahmi Mujahidah MUKAROMAH, LUTFAH Mukromin Mulia Akbar Santoso Muliardi Muliaty Amin Mulyadin Mulyati, Ely Mumaddun Khaerudin Salami Muntako, Ahmad Murdifin Mursal Mursanto Musda Asmara Musdalifah Mustafa, Fahrina MUSYAFFA RIFQI HARIMARDIKA Mutakarikah Muthalib, Ade Nirwani Abdurahman Mutiara Rengganis Muzaka, Maimun Nabil Alfan Moh Nabila Adhelia Maulidha Nabila Sabrina Nadia Fitri Santika Nadiah Nahya Fadillah NAILATUR ROHMAH Naim Sulaiman Nasokah Nasriman Nasrul Nasrullah Nazmi, Annisa Nur Ningsih, Apriyana Nini Apriani Rumata Nisa Agustin Pratiwi Pelu Nisfe Jehan Apriani Niti Lestari Noer Farakhin Nofriadiman Nofrohu Retongga Noor Aziz, Noor Nunuk Hariani Soekamto Nur Ainiyah Nur Ainiyah Nur Azisa Nur Azizah Nur Hidayah Nur Mutmainnah Nurdiana A Nurfaisal Nurhalim Nurhawaisyah, Sitti Ratmi Nurhayati Nurhidayah Nurliah Jafar, Nurliah Nurlindah Nurul Hasanah Nurul Hidayati Oman Sukmana Onu La Ola, Onu Ovriyadin Pamungkas Stiya Mulyani Panca Setyo Prihatin Pardede, Tumpal Parninsih, Iin Patiung, Seventry Meliana PATIYUS AGUSTIANSYAH, PATIYUS Penny Naluria Utami, Penny Naluria Perani Rosyani Permana, Yudi Piliana, Wa Ode Pipin Novrianti Pratama Bagus Restu.S Pratama, Amia Pratama, Apriliyanus Rakhmadi Pratama, Novrian Pratiwi, Tasyah Purboyo, Purboyo Purwati, Heri Putra , Rio Andika Putra Dempo, Agung Anugra Putra Hanafi, Beni Putri Dhiya Putri Dwi Wisudawati Sormin Putri Faisal, Sri Afriani Putri Wijaya, Nurhikmah Putri, Dini Firdiana Putri, Rahmadaniar Aditya Rabwan Satriawan Ragil Putri Fitriyanti Rahayu Anggraini Rahim, Radiyan Rahmad Hendra Rahmadaniar Rahmadaniar Aditya Putri Rahmadi Bagus Wijaya Rahman, Sepsa Nur Rahmania Rahmat Hidayat Rahmat Oriza Rahmi , Riri Rahmi, Riri Raihan Hidayatullah Rama, Rama Wijaya Ramadhan, Ilfan Prabu ramadoan, syahri Ramiati Ramya Rachmawati Ratna Widayati Rauzan Habas Addawy Rayna Kartika, Rayna Regina Adelisa Rego, Dipalpa Retna Gumilang Retno Diah Putri Ekayanti Reynaldy Julio Ricy Firnando Rika Lestari Riki Sukiandra Rikki Vitria Rina Novi Yani Rina Shahriyani Shahrullah Risfa Fadila Riska Fauziah Hayati Riski Meilani Risna Ritna Wahyuni Riza Aprillia Rizkiani, Erdina Wira Rohima Sera Afifah Roslyn Rosma, Iswadi Hasyim Rosmawati RR. Ella Evrita Hestiandari Rudy Fernandez Ruri Hartika Zain Ruslan Rusmiyatun Rusmiyatun Sa'idah, Nur Saadah, Chuzaimatus saadudin Sabir, Achmad Safrina, Eka Sagaf S. Pettalongi Sakinah Salahudin Salahudin Samariadi, Samariadi Samintang Santi Sapitri, Ade Iriani Saputra Yadnya , Komang Saputra, Billy Yanis Saputra, Haris Tri Saputra, Ksatria Sari, Ririn Purnama Sarifah Putri Raflesia, Sarifah Putri Sarti Rahayu Sastradinata, Irawan Sattu Alang Selvi Imelda Septri Damayanti Setia Ningsih Setya Nugroho , Florantia Shabrina Syntha Dewi Shaliha, Mar'ah Siar Nimah Sidrah Afriani Rachman Sidrah Afriani Rachman, Sidrah Afriani Sintia Putri Pangestu Siska Yosmar Siswahyudianto Siti Asyitah Siti Justianti Muhajriyah Siti Nurmaini Sofyan Soleha, Umdatus Soraya Sri Bulkia Sri Konsep Harum Wicaksono Sri Wahyuni SRI WULANDARI Sriyanto St. Haniah Stepanus Sahala Sitompul Stepanus Sahala Sitompuls Suci Dwi Lestari Sudarto Suharti Sujono Sukemi Sukma Wahyuni , Elvira Sulardi . Sulastri Caniago Sulfian, A. Sultan Sultana, Beenish Sulvahrul Amin Surmayanti, Surmayanti Surya, Leny Sang Suwitno Suyanto Syaflin Halim Syamsul Rijal Syamsuri, Andi Santri Syamsurijal Syamsurizal Syiddatul Buduri Syprianus Aristeus, Syprianus Taufikurahman Taufiqurrahman Teguh Sujana Teguh Wicaksono Tengku Mega Rahmadini Tiara Aninditha Tikson, Shinta Dewi Sugiharti Tomo Djudin Topan Fadilla Malik Tri Vina Khasanah Trian Pamungkas Alamsyah, Trian Pamungkas Tryana Nur Rahmadani Tsaqilatussyifa, Sabrina TW, Fredy Rendra Ulfa Kusnia Uliana, Rafika Umar Uzhelia, Viorryn Aisha Uzma Septima Vina Salviana Darvina Soedarwo Vivi Elvira Sahputri Syah Wahab Wahda Wahyu Andriansyah Wahyudi, Andi Ardhila Wahyuni, Wiani Wakila, Muhammad Hardin Warman, Arifki Budia Wawan Darmawan Widiningsih , Dewi Widya Puspita Sari Winarto Winarto Windy Permata Suyono Wiraagni, Idha Arfianti Wusiat Yesha Aishya Aprila Yudhistira Pradhipta Aryoko Yudiaryono Yudistira, Jastin Yulis Hamidy Yunisrina Q. Yusuf Zahroh, Chilyatiz Zainal Azwar Zakiah Zein, Ruri Hartika Zerri Rahman Hakim Zulfikar Jayakusuma Zulharman Zurnawita