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SCIENTIFIC JOURNAL OF ECONOMICS, MANAGEMENT, BUSINESS, AND ACCOUNTING Historia Madania: Jurnal Ilmu Sejarah Abdi Kami : Jurnal Pengabdian Kepada Masyarakat Jurnal Kajian Komunikasi dan Pembangunan Daerah Construction and Material Journal Jurnal Promotif Preventif International Journal of Mechanical Engineering Technologies and Applications (MECHTA) Jurnal Riset Teknologi Pencegahan Pencemaran Industri Journal of Soft Computing Exploration Engineering, Mathematics and Computer Science Journal (EMACS) Zona Laut : Jurnal Inovasi Sains dan Teknologi Kelautan Jurnal Ilmiah Wahana Pendidikan Journal La Sociale International Journal of Robotics and Control Systems International Journal of Social Science International Journal of Economy, Education and Entrepreneurship (IJE3) Jurnal Valuasi : Jurnal Ilmiah Ilmu Manajemen dan Kewirausahaan Lani: Jurnal Kajian Ilmu Sejarah dan Budaya ALEXANDRIA: Journal of Economics, Business, and Entrepreneurship Abdimas Langkanae Jurnal Teknik Sipil Al-Afaq: Jurnal Ilmu Falak dan Astronomi Unnes Journal of Mathematics Education Unnes Journal of Mathematics Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Indonesian Journal of Research and Educational Review (IJRER) Batara Wisnu : Indonesian Journal of Community Services Bussman Journal : Indonesian Journal of Business and Management KOMUNIKATA57 Al-MIKRAJ: Jurnal studi Islam dan Humaniora Jurnal Bilqolam Pendidikan Islam Jurnal Pengabdian Teratai Formosa Journal of Applied Sciences (FJAS) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Maritime Park: Journal Of Maritime Technology and Socienty Jurnal El-Thawalib Journal of Law, Poliitic and Humanities Jurnal Peradaban Masyarakat (JPM) YASIN: Jurnal Pendidikan dan Sosial Budaya Journal of Innovation and Research in Primary Education Analisa: Journal of Social Science and Religion Al-Istinbath: Jurnal Hukum Islam INOVASI: Jurnal Hasil Pengabdian Masyarakat Mamangan Social Science Journal Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Inovtek Seri Teknik Sipil dan Aplikasi (TekLA) Jurnal Manajemen, Akuntansi, Ekonomi Studies in English Language and Education Jurnal Cyber PR ARMADA : Jurnal Penelitian Multidisiplin Jurnal Masyarakat Madani Indonesia Innovative: Journal Of Social Science Research IPTEK: Jurnal Hasil Pengabdian kepada Masyarakat SINTHOP: Media Kajian Pendidikan, Agama, Sosial dan Budaya APLIKATIF: Journal of Research Trends in Social Sciences and Humanities International Journal of Sharia Business Management Multazam : Jurnal Manajemen Haji dan Umrah Bangun Desa : Jurnal Pengabdian Masyarakat J-EDu : Journal - Erfolgreicher Deutschunterricht Journal of Information System Exploration and Research Tanjungpura Journal of Coaching Research Ininnawa: Jurnal Pengabdian Masyarakat Jurnal Abdimas Lamin Recursive Journal of Informatics Research in Education, Technology, and Multiculture Social Science Academic Journal of Contemporary Law Studies Journal of Law & Policy Review GEMBIRA (Pengabdian Kepada Masyarakat) PEDAMAS (Pengabdian Kepada Masyarakat) AGROTEKBIS: Jurnal Ilmu Pertanian JKAP (Jurnal Kebijakan dan Administrasi Publik) ANDIL Mulawarman Journal of Community Engagement Jurnal Kelautan dan Perikanan Indonesia Jurnal Mediasas : Media Ilmu Syari'ah dan Ahwal Al-Syakhsiyyah Jurnal ARSI : Administrasi Rumah Sakit Indonesia Indonesian Journal of Maritime Technology or abbreviated (ISMATECH) Scientific Journal of Informatics Jurnal Agroteknologi dan Kehutanan Tropika Brand Communication Jurnal Pengabdian Kepada Masyarakat Kalam Jurnal Abdi Negeriku JIPITI: Jurnal Pengabdian kepada Masyarakat Kinerja : Jurnal Manajemen Pendidikan Islam Media Keperawatan: Politeknik Kesehatan Makassar Abdurrauf Journal of Community Service Jurnal Abdita Naturafarm Jurnal Riseta Soshum Journal of Islamic Mubādalah EDUTREND: Journal of Emerging Issues and Trends in Education Jurnal Ilmiah Multidisiplin TANJAK : Jurnal Pengabdian Kepada Masyarakat Jurnal Cendekia Ilmiah Ulil Albab Jurnal Ilmiah Riset Aplikasi Manajemen Jurnal Ilmiah Pariwisata Aksi Kita: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Mathematics and Natural Sciences Jurnal Ilmu Sosial dan Humaniora Journal of Management Branding Jurnal El-Thawalib Jurnal Abdi Negeri Journal of Literature Review Recursive Journal of Informatics
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The Relationship Between Phubbing Behavior and Student Empathy at Garudaya Bontonompo Vocational School Muhrawati, Muhrawati; Alamsyah, Alamsyah; Putri, Rukiana Novianti
EDUTREND: Journal of Emerging Issues and Trends in Education Vol. 2 No. 3 (2025): EDUTREND: Journal of Emerging Issues and Trends in Education
Publisher : Lembaga Riset dan Inovasi Masyarakat Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/edutrend.503

Abstract

This study investigates the relationship between phubbing behavior and students’ empathy in the context of digital learning at SMKS Garudaya Bontonompo, Indonesia. The research employs a quantitative correlational design with a sample of 135 students selected through simple random sampling. Data were collected using two standardized instruments: the Phubbing Behavior Scale and the Empathy Scale, both of which demonstrated high reliability coefficients. Descriptive and inferential statistical analyses were conducted using SPSS version 23.0. The results indicate a strong and significant negative correlation (r = –0.806, p < 0.05) between phubbing behavior and empathy, suggesting that increased smartphone-centered activity corresponds with decreased emotional understanding. These findings emphasize the need for balanced digital engagement in educational settings and highlight the psychological impact of smartphone dependency on social-emotional development. The study recommends integrating social-emotional learning (SEL) and digital citizenship education into classroom practices to foster empathy and responsible technology use among students.
PERAN GURU PENDIDIKAN AGAMA ISLAM DALAM MENCIPTAKAN BUDAYA RELIGIUS DI UPT SPF SMPN 18 MAKASSAR Ramadhani, Fadhila; Nashir, Ahmad; Alamsyah, Alamsyah
Jurnal Kinerja Vol 2 No 1 (2024): Kinerja : Jurnal Manajemen Pendidikan Islam
Publisher : LPPM Universitas Islam 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/kinerja.v2i1.9483

Abstract

The aims of this study were: to find out the learning interest of children with special needs (slow learning) at the 1st storey Mallengkeri Inpres Elementary School. the role of Islamic religious education teachers in increasing interest in learning children with special needs (Slow Learning) in learning Islamic religious education at the Mallengkeri Pres. Elementary School with Grade 1. The type of research used is a qualitative method. Data collection techniques in this study are observation, interviews, and documentation. The data sources in this study are primary and secondary data sources. Meanwhile, the objects in this study were school principals, Islamic religious education teachers, slow learning students at Grade I Mallengkeri Pres Elementary School. The results showed that slow learning students at Grade I Pres Mallengkeri Grade VI Elementary School had a high interest in learning. can be characterized by the level of craftsmanship and activeness of slow learning students in the learning given by Islamic religious education teachers at school. learning strategies carried out by Islamic religious education teachers in dealing with slow learning children at Grade I Mallengkeri Elementary School Grade VI, namely by implementing various strategies in learning such as using a student-centered learning approach with an individual system and a remedial approach, then the methods used by the teacher in Slow learning students are lecture methods, questions and answers, exercises, demonstrations with picture books about the practice of prayer and ablution, reward punishment and assignment methods.
Strategi Komunikasi Dinas Perhubungan Kabupaten Buton Utara Dalam Mensosialisasikan Keselamatan Berlalu Lintas Suandi, Fikry; Alamsyah, Alamsyah; Sukma, Agus Hitopa Sukma; Pranawukir, Iswahyu
Brand Communication Vol. 4 No. 3 (2025): Media Sosial dan Peradaban Manusia
Publisher : Prisani Cendekia Institute

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Abstract

This study aims to determine the communication strategies implemented by the North Buton Regency Transportation Agency in its Traffic Safety Socialization activities and to identify the factors that hinder its implementation. This study uses qualitative research methods that produce descriptive data in the form of written or spoken words from people and observed behavior. Data were obtained using interview, observation, documentation, and triangulation methods from the source of the results of the Communication Strategy research conducted by the Safety Guidance Team (Bimkos Team) of the North Buton Regency Transportation Agency in the socialization program by identifying the communication targets, reviewing the message objectives through the material delivered and traffic order videos displayed in the socialization activities. Using face-to-face communication media (direct) with presentations and various official online media of the North Regency pioneer student community. Traffic Safety Guidance (Bimkes Team) as a communicator in communication plays a role in persuading its audience with an active speaking method in socialization activities. As well as the attractiveness and credibility of sources in the traffic safety socialization program. The communication strategy implemented by the Bimkos Team is intended to minimize the high level of accidents that occur. The results of the study show an increase in awareness and concern among students to comply with traffic regulations for the sake of mutual safety, but there are still obstacles that prevent this socicoalization program from running optimally. The obstacles experienced by the North Buton Regency Transportation Agency in implementing the Traffic Safety Socialization program come from internal and external factors
Strategi Komunikasi Pemasaran Digital Dalam Membangun Brand Awareness Brodo Melalui Akun Instagram Arian, Vabrian Prima Dana; Alamsyah, Alamsyah; Sukma, Agus Hitopa; Pranawukir, Iswahyu; Nanda Barizki, Rezzi
Brand Communication Vol. 4 No. 3 (2025): Media Sosial dan Peradaban Manusia
Publisher : Prisani Cendekia Institute

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Abstract

Penelitian ini bertujuan untuk mengetahui dan menganalisis strategi komunikasi pemasaran digital yang dilakukan oleh Brodo dalam upaya membangun brand awareness brand Brodo melalui akun Instagram. Demi meningkatkan penjualan komunikasi pemasaran yang dilakukan perusahaan sangatlah penting dan harus dilakukan sesuai dengan strategi yang tepat. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan teknik wawancara mendalam kepada pihak manajemen dan konsumen Brodo dan dokumentasi. Hasil penelitian menunjukkan bahwa Strategi Komunikasi Pemasaran Digital Dalam Membangun Brand awareness Brodo Melalui Akun Instagram, maka didapatkan kesimpulan bahwa strategi komunikasi pemasaran digital Brodo melalui Instagram terbukti efektif dalam meningkatkan brand awareness dengan mengedepankan identitas brand yang kuat, visual yang konsisten, serta pendekatan interaktif melalui konten edukatif, storytelling, dan kolaborasi dengan KOL. Brodo juga menghadapi beberapa hambatan, seperti perubahan algoritma Instagram yang memengaruhi jangkauan konten, keterbatasan sumber daya dalam menghasilkan konten secara konsisten, serta persaingan dengan brand lokal lainnya yang semakin aktif di media sosial. Penelitian ini menegaskan bahwa strategi komunikasi pemasaran digital yang tepat di Instagram dapat secara efektif meningkatkan brand awareness dan mendorong keputusan pembelian.
Penerapan Model Deep-CNN Untuk Meningkatan Akurasi Klasifikasi Bahasa Isyarat Alfabet Menggunakan Algoritma Convolutional Neural Network Al-Hafizh, Fadhl; Alamsyah, Alamsyah
Indonesian Journal of Mathematics and Natural Sciences Vol. 47 No. 1 (2024): Volume 47 Nomor 1 Tahun 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/4x9r3p15

Abstract

Technological developments in the era of artificial intelligence have led to the development of computer systems capable of identifying sign language. Sign language is the primary means of communication for deaf and hard of hearing people used by millions of people around the world. This research aims to improve accuracy in alphabetic sign language recognition by using the Deep-CNN model. The method in this research starts from the selection of sign language datasets based on previous research.  The dataset used in this study comes from Kaggle regarding American Sign Language which contains each training and test class representing a label (0-25) This dataset contains 27,455 training data and 7,172 test data. This research uses the Python programming language in performing data splitting, scaling, data augmentation, training, and evaluating. The architectural model built in this research is the Deep CNN architecture which is implemented to carry out the process of improving the accuracy of sign language recognition classification. The test results show an increase in the accuracy of alphabetic sign language classification compared to previous research. The increase in accuracy in the value of the Deep CNN model built managed to reach an accuracy rate of 99.72%. The model that has been built is the best model among previous research models.
Penerapan Algoritma Convolutional Neural Network Arsitektur ResNet50V2 Untuk Mengidentifikasi Penyakit Pneumonia Izzulhaq, Muhammad Agil; Alamsyah, Alamsyah
Indonesian Journal of Mathematics and Natural Sciences Vol. 47 No. 1 (2024): Volume 47 Nomor 1 Tahun 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/p532ny06

Abstract

Pneumonia is a disease that infects the respiratory tract, disrupting the normal function of the human body. Viruses and bacteria are known as common causes of pneumonia. Identification of Pneumonia can use Convolutional Neural Network (CNN). CNN is an effective artificial neural network architecture for image analysis, inspired by how the human brain processes visual information. CNNs are capable of understanding the hierarchical features in images, from lines and angles to complex shapes and objects. This research aims to use ResNet50V2, a popular CNN architecture, to classify X-ray images as either normal or indicative of pneumonia, with the goal of creating an accurate and efficient diagnostic tool. The research method involves using X-ray image datasets for training, validation, and testing, using the ResNet50V2 CNN architecture. The test results show that ResNet50V2 achieves a pneumonia classification accuracy of 93.26%. This study innovatively explores alternative CNN architectures for pneumonia classification, focusing on ResNet50V2.
Peningkatan Hiperparameter Framework Deep Learning VGG-16 untuk Pendeteksian Tumor Otak pada Teknologi MRI Alamsyah, Alamsyah; Aulia, Ahmad Bagas Aditya Ilham
Indonesian Journal of Mathematics and Natural Sciences Vol. 47 No. 2 (2024): Volume 47 Nomor 2 Tahun 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/n0vrqm85

Abstract

Detection of human brain tumors through medical images still has limitations, so an accurate method is needed. This study aims to improve the ability of the modified VGG-16 model through hyperparameter adjustment in detecting human brain tumor MRI images. The dataset used comes from the Brain MRI Tumor Dataset on Kaggle, with four categories of brain tumors. The VGG-16 model was adjusted to improve accuracy, adjust brightness and contrast in data augmentation, and add a classification layer. Hyperparameters set include learning rate, batch size, epoch, and optimizer. The results showed an accuracy of 95.63%, precision 95.69%, recall 95.58%, and F1 score 95.57%. The applied model shows potential in improving the accuracy and efficiency of brain tumor diagnosis using MRI technology. Thus, the modification of the VGG-16 model in this study provides improved performance in brain tumor MRI image detection compared to previous studies.
Optimalisasi Algoritma Naïve Bayes untuk Klasifikasi Tweet Berbahasa Indonesia dalam Mengatasi Hate Speech di Platform X Haikal, Muhammad; Alamsyah, Alamsyah
Indonesian Journal of Mathematics and Natural Sciences Vol. 47 No. 2 (2024): Volume 47 Nomor 2 Tahun 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/zphjtr75

Abstract

Hate speech is a form of expression used to express hatred and is often destructive, aimed at opposing individuals or certain groups for various reasons. Cases of hate speech are frequently found on social media, especially during election seasons, which occur regularly. To combat hate speech, monitoring actions are needed by censoring words that have the potential to offend and attack personal elements, such as ethnicity, religion, and race. Previous research has generally focused only on sentiment analysis of tweets to determine their positive or negative weights. This research continues the study on hate speech by developing the application of the Naive Bayes algorithm, specifically the Multinomial and Gaussian variants, along with an automatic censorship system aimed at improving classification accuracy. This system is implemented on social media with the hope of significantly reducing the amount of hate speech. From 13,169 tweets collected as the dataset, the data was classified into 12 categories with the highest accuracy rate being 90%. The test results are stored in the form of a hate speech dictionary that contains inappropriate words, allowing the algorithm to detect and automatically censor tweets containing hate speech
Pewacanaan Pemindahan Ibukota Negara Pada Program Indonesia Lawyers Club (ILC) TVOne Faidah, Nurul; Alamsyah, Alamsyah; Astrid, A Fauziah
Jurnal Komunikasi dan Organisasi (J-KO) Vol. 1 No. 2 (2019): Agustus
Publisher : Program Studi Ilmu Komunikasi, FISIP Unismuh Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jko.v1i2.5247

Abstract

Penelitian ini bertujuan mengetahui struktur wacana dan pewacanaan pada program Indonesia Lawyers Club TVOne Episode “Perlukah Ibukota Dipindahkan?”. Hasilnya,  pewacanaan tidak hanya tampak pada penggunaan kalimat, kata ganti, leksikon, atau metafora. Namun, tampak pada beberapa narasumber yang terlihat lebih mengarah pada kontra rencana presiden ini, terlihat dari beberapa dialog narasumber yang menjelaskan secara rinci bahwa Negara kita sedang dalam masa yang tidak baik-baik saja untuk melakukan rencana sebesar ini. This study aims to determine the structure of discourse and discourse on the Indonesia Lawyers Club TVOne Episode program “Should the Capital be Moved?”. As a result, discourse does not only appear in the use of sentences, pronouns, lexicons, or metaphors. However, it appears that some sources seem to be more towards the counter-plan of the president, it can be seen from a number of resource dialogues explaining in detail that our country is in a bad state to carry out a plan of this magnitude. 
Pengembangan Pelatihan Bantuan Hidup Dasar Berbasis Aplikasi Pada Orang Awam di Kabupaten Takalar Alamsyah, Alamsyah; Handayani, Tut
Jurnal Promotif Preventif Vol 7 No 6 (2024): Desember 2024: JURNAL PROMOTIF PREVENTIF
Publisher : Fakultas Kesehatan Masyarakat Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jpp.v7i6.1607

Abstract

Salah satu penyakit dengan tingkat kematian tinggi di Dunia adalah Cardiact Arrest. Oleh karena itu, pertolongan pertama oleh bystander sangat menentukan tingkat peluang hidup korbannya melalui Resusitasi Jantung Paru (RJP). Orang awam harus bisa memberikan RJP melalui edukasi secara mandiri dengan memanfaatkan media atau aplikasi. Studi ini berfokus untuk pengembangan pelatihan bantuan hidup dasar berbasis aplikasi khusus untuk orang awam. Metode penelitian kualitatif dengan pendekaan interpretive descriptive dan telaah literatur pada masayarakat awam di Kabupaten Takalar. Pengambilan sampel dengan metode purposive sampling. Jumlah Partisipan sebanyak 14 orang dan 5 partisipan yang masuk dalam kategori triangulasi sumber. Pedoman wawancara semi terstruktur dengan wawancara mendalam, FGD dan observasi dengan menggunakan field note. Terdapat 4 tema utama yang didapatkan yaitu: 1) Kurangnya pengetahuan masyarakat tentang Cardiact Arrest; 2) Persepsi cara memberikan bantuan hidup dasar bagi korban cardiact arrest; 3) Program kerja dalam upaya memberikan pelatihan BHD pada orang awam; dan 4) Kebutuhan masyarakat, petugas puskesmas, dan pihak Publict Safety Centre (PSC) terkait rencana pengembangan pelatihan bantuan hidup dasar yang efisien bagi masyarakat awam.
Co-Authors -, Mukharom A Fahira Nur A. Mushawwir Taiyeb, A. Mushawwir A.Paturusi, Idrus Abbas, Subhan Akbar Abd. Rahman Bahtiar, Abd. Rahman Abdillah, Riza Abdirozaq, Mifta Abdul Kholiq Abdul Mujib Syadzali Abdul, Ghafur ABDULRAHMAN, DIMAS Abdurahman, Ade Irfan Abdurrahman, Ade Irfan Abidin, Muhamad Zainal Abror, Wiena Faqih Achmad Musyahid, Achmad Achmad Syarifudin, Achmad Aden Rosadi Adi, Yuanita Permata Adiningrat, Andi Arifwangsa Aditya Bimandaru Adrianton Adrianton Afifah, Eka Nur Afrida Sary Puspita Afrilian Ardi Arus, Afrilian Ardi Afrizal Rizqi Pranata, Afrizal Rizqi Agus Hitopa Sukma Agustan Agustan, Agustan Agustina, Tin Agustinus Kali Ahdi, Hapizul Ahmad Nashir Ahmad Syarif Ahwan, M Tami Rosadi Airlangga, Gregorius Akhmad, Akhmad Akriadi, Akriadi Al-Araf, Khairunnisa Al-Hafizh, Fadhl Alamsyah Alfajry, Gefian Alfharezi, M. Salman Alfitri Alfitri Ali Akbar Alissa Geisler Amalina, Fitri Ambo Dalle Aminuyati Amiruddin Kade Anantadjaya, Samuel PD Andayani, Lies Andy Alfatih Angelina, Riska Angga, Vicky Very Anggela, Anggela Anggyi Trisnawan Putra Angreany, Femmy Aniskuri, Lulu Fitria Anugrah, Dapa Putra Ardiansyah, Fahmi Arian, Vabrian Prima Dana Arif, Fathan Arifuddin, Andi Mursid Nugraha Arifuddin, Mursid Nugraha Ariolin, Anantha Revoislami Ariyanti, Lisa Arlian Fachrul Syahputra Aryo Nugroho Asnidar Asnidar Asri, Wahyu Kurniati Asriati Asriati, Asriati Astagina, Paramesti Astari, Arini Widi Astin, Widya Yulia Astrid, A Fauziah Aulia, Ahmad Bagas Aditya Ilham Auliyah, Iriana Awaludin, Dipa Teruna Ayatullah Harun Ayun Maduwinarti Azmi, Abdillah Azzahra, Marsha Azzahrah, Diah Siti Fatimah Azzura4, Nazhwa Bachtiar, Alfan Bachtiar, Fauziah BAHITS, ABDUL Bambang Sukma Wijaya Barizki, Rezzi Nanda Baso Mukhlis Bertin Ayu Wandira Botutihe, Fauziah Budi Prasetiyo, Budi Budiman, Kholiq BUKHORI, MOHAMMAD Burhamzah, Muftihaturrahmah Burhamzah, Rahmat Cahyani, Alviana Eka Chandra, Adi Chris Jeremy Verian Sitorus Damayanti, Amalia Damayanti, Prisila Daragana, R. Subchan Desilawati, Nur Dewi Yuliati Dewi, Dyah Utami Dianiswara, Anggoronadhi Diantoro, Eman Djunuda, Rahmawati Dora Kusumastuti Dwicahyo, Widhi Okfian Dwijanto Dwijanto, Dwijanto Dyah, Hapsari Ekonugraheni Edi Purwanta Edward Enrieco Efrilianda, Devi Ajeng Eka Mulyana, Eka el-Hajjami, Aicha Eli Jamilah Mihardja Enda, Dedi Endang Sugiharti, Endang Eni Setyowati Erita Riski Putri Erlangga, Haqqy Rerian Ernawati Ernawati Esti Handayani, Dwi Etin Anwar, Etin Faisal Mahmuddin Fakhruddin Fakhruddin Faozi, Irfan Fatari, Fatari Fatmawati Amir Fauzan Syahru Ramadhan Febryano Manggala Putra Ferdian, Syahrul Fikri, Arif Fitriana, Susi Fitriani, Danik Florentina Yuni Arini, Florentina Yuni Fournawati, Sri Murdilah Frengki Napitupulu Fridayasha, Nur Furkon Sukanda, Ukon Habib Shulton Asnawi Haeirina, Kurniati Putri Hafidz Hanafiah Haimah, Haimah Hajra Rasmita Ngemba Hakim, M. Faris Al Hakim, Muhamad Faishol Halim, Bravura Candra Handarko, Jefry Latu Handayani, Dwi Esti Handayani, Tut Hanum, Irma Surayya Hapsari, Dessy Purwita Hardi Suyitno Hardinata, Riyan Harinurhady, Agus Hariyanti, Kiki Andes Hariyono, Hariyono Harningsih, Harningsih Haryono Rinardi Hasbullah Hasbullah Helda Syahfari Hendra Alfani, Hendra Herman, Bahtiar Hermansyah, Agung Hermiyanti Hermiyanti, Hermiyanti Hidasari, Fitriana Puspa Hidayat, Kukuh Triyuliarno Hijjah, Siti Dzul Hijriah, Hijriah Hikmahyanti, Hikmahyanti Hiswanti Hiswanti Hitopa Sukma, Agus Husyam, Husyam I Ketut Eddy Purnama Iis Isnawati Iismayanti Ikhwani, Rodlian Jamal Ilham Insani, Muhammad Illy Yanti Imam Ahmad Ashari, Imam Ahmad Iman, Maidi Muhammad Indrajaya, Muhammad Aristo Indriani Tiara Putri, Indriani Tiara Irvani, Rodhy Irwan, Hadriani Irwanda, Andri Irzan Soepriyadi Ishomuddin, A. Iskandar, Muhammad Istiani, Titania Iswahyu Pranawukir Izzulhaq, Muhammad Agil J, Jusriadi Jam'an, Andi Jamal Ikhwani, Rodlian Jamaludin, Abdul Rafi Jamil Jamil Jasri, Jasri Jaya, Rahmat Jaya, Saskia Chaerunnisa Jihan Mahetsha Ariyanti Johar Amir Jonathan Irene Sartika Dewi Max Juhandi, Nendi Julianto, Diki Julius Bata Jumanto Jumanto, Jumanto Jumanto Unjung Jusman Mansyur Kahfi, Ibnu Kala, Charles Sambera Kamal, Saenal Kania, Sherlyna Tea Kautsar, Nadafia Kencana, R. Femmy Diajeng Khair, Otti Ilham Khumaero, Latifatul Kiagus Muhammad Sobri Kumalasari, Putri Laksita Kumandang, Niti Gede Kurniawan, Diah Citra Kustiwansa, Harlian Kusuma, I Putu Arya Kusumawati, Novita Sri Laila, Rahma Larasati, Ukhti Ikhsani Lenita, Leila Anggraeni Lestari, Linda Lestuny, Carolina Lina wati Linda Firdawaty Lumenteri, Fido Fortunatus Luthfie, Alfaiz Alafi M. Ngisomudin M. Uswah Pawara Mahendra, Yoga Mahmud Mahmud Mahriani Makin, See Jong Malek, Nor Fazila Abd Mannahali, Misnah Mansyur, Saidin Marhaen Hardjo Marlinda Irwanti, Marlinda Marsiana, Siwi Martdiansyah, Martdiansyah Marwan Marwan Maryanto - Masrur, Masrur Mas`ud M, Ahmad Azwar Maulana Maulana, Maulana Maulana, Andin Muhammad Mauridhi Hery Purnomo Mery Subito Mery Yanti Misnan, Misnan Mochammad Mirza mubarak, azhar aras Much Aziz Muslim Muhajir, Fatimah Muhammad Alim Akbar Nasir Muhammad Aqil Muhammad Aziz Muhammad Haikal Muhammad Husni Thamrin, Muhammad Husni muhammad rizky, muhammad MUHAMMAD ULIN NUHA Muhammad, Afrizal Prasetyo Nur Muharram, Susilawati Muhlis Muhlis Muhrawati, Muhrawati Mujahida, Mujahida Mukhlas, Oyo Sunaryo Mursalin, Destrianto Musfirah Muslimin, A. Mustamin, Siti Walidah Mustari, Aidynal Muthia, Kiki Nabiilah, Syarafina Nafi, Anan Tawazzun Nana Mulyana Nanda Barizki, Rezzi Nawangwulan, Irma M Neri Kautsari Nikmah, Nadratun Nita Maya Valiantien Noerlina Anggraeni Noor Jannah, Noor Novianti, Dian Noviantoro, Djatmiko Novitasari, Eni Noviyanti, Cindy Nabila Nugraha Arifuddin, Andi Mursid Nugraha, Andi Mursid Nugroho, Anan Nugroho, Oskar Ika Adi Nuphanudin, Nuphanudin Nur Halimah Nurdiana, Diah Nurdianti, Nunu Nurdin Zuhdi, M. Nurlela Nurlela Nurnawaty, Nurnawaty Nurul Faidah Nurulhuda, Muhammad Obing Zaid Sobir Oksapianus, David Soni P. Eko Prasetyo Paribang, Feston Sandi Pastika, Puan Bening Patrysya, Chelina Putri Permadi, Dimas Bayu Satria Permata, Nuniek Pramudya, Pahala Bima Pratama, Fernanda Wahyu Pratama, Rizka Nur Prihartini, Amelia Prihatin, Joni Pugu, Dhanang Respati Puhululawa, Indriyani Pujo Hari Saputro Purwandito, Rizky Puspa Rini, Puspa Puspita Sari, Yeyen Putri, Atika Kurnia Putri, Erita Riski Putri, Rezania Novianti Putri, Rukiana Novianti Rachmi Kurnia Siregar Rahayu, Shinta Devi Ika Santhi Rahayuningrum, Hesti Rahmaddan, Muhammad Kevin Rahmat Dahlan Ramadhani, Fadhila Ramadhani, Rizky Raniasa Putra Rasyid, Anas Rasyid, Zulfaizal H.A. Ratna Wulandari Ratu, Inaka Dalam Bangsa Retna Mahriani Rezzi Nanda Barizki Rhamadanty, Winda Ayu Utami Rhamadhan, Mohammad Ryan Richardo, Hizkia Natanael Ridwan Daud Mahande Rifan, Slamet Riri Anggriani Ririn Setyowati Riyanti, Mayang Riza Arifudin Rizana Fauzi, Rizana Rochmad - Rofik Rofik, Rofik Rohman, Shohihatur Rostiati Dg Rahmatu RR. Aryanti Kristantini Rudi Santoso, Rudi Rudi, Kurniawan Rudy Handoko Rufaida, Erty Rospyana Ruqaiyah, Ruqaiyah Ryfial Azhar S, Candra S, Ramli S, Zulfani Sa'adah, Shofi Putri Sabila, Ahda Sabrina Rocholl Safri Haliding Sakinah, Vanessa Olivia Salam, Hisbullah Saleh, Wahyuni Samaluddin, Samaluddin Sam’an, Muhammad Sampurno, Global Ilham Samriadi, Andi Samsir Samsir, Samsir Samsu Dlukha N Saputra, Faisal Tomi SAPUTRA, SARIPUDIN Saputro, Meidika Bagus Saraswati, Erlisa Sari , Dyan Prawita Sari, Dwi Oktaria Sari, Kadek Muktiana Sari, Yenni Puspita Sarmita Samad, Ita Sartika Sartika Sartika, Rawit Sayful, Sayful Sebastian, Ligal Septian, Septian Septiandani, Dian Setialaksana, Wirawan - Setijadi, Eko Shukla, Manish Simon Sumanjoyo Hutagalung Singgih Tri Sulistiyono Siti Harnina Bintari SITI MAHMUDAH Siti Maziyah Siti Maziyah Sitinah, Sitinah Slamet Widodo Sobri, Kgs. M. Sri Indrahti Sriati Sriati, Sriati St. Salehah Madjid Suandi, Fikri Suandi, Fikry Suardi Suardi Sugianto, Lai Ferry Sugiarto S Sugiman Sugiman Suhaeb, Laelah Azizah S. Sukanda, Ukon Furkon Sukirman, Asrianti Sukma , Agus Hitopa Sukma Sukma, Agus Hitopa Sukma sukristyanto, Agus Sulasri, Sulasri Sunra, La Suntin, Suntin Sunyoto Sunyoto Supardi, Edy Surawan, Surawan Suryani, Atik Susanto, Is Suseno, Ari Susiloputro, Agus Syahab, Husein Syahbani, Nur Lisa Syahputra, Permana Surya Syaiful Hendra Syam, Muhammad Anjas Syamsu Rijal Syamsuri, Andi Sukri Syarifah Fatimah, Syarifah Syarifuddin Dollah Syarifuddin Syarifuddin Tan Suryani Sollu Tantri, Agra Liz Taufik Hidayat Taufik Hidayat Therendy, Therendy Tiurmaida, Serepina Topanto, David Udi Rusadi Ulhaq, Muhammad Naufal Daffa Uray Gustian, Uray Urfah Atut Chosiyah Uzaman, Budi Veithzal Rivai Zainal Vember, Hilda Veybitha, Yolanda Vidyanto, Vidyanto Walid Walid, Walid Warda Warda Warjaya, Wahyu Wibisono, Tika Aryana Wicaksana, Dinar Anggit Widiargun, Diah Widjanarko Widjanarko, Widjanarko Wijaya, Vibra Wilma Prafitri Windi Nopriyanto Wira Setiawan Wiswadas, Wiswadas wukir, Iswahyu wulandari, amalia ika Wulandari, Ikrawanti Ayu Wulandari, Kevin Olyvia Yahya Nur Ifriza Yanuar Yoga Prasetyawan Yety Rochwulaningsih Yuliana Putri Yuliatin yuliatin Yuliyana, Yuliyana Yusnaini Arifin Yusnaini Yusnaini Yusuf Wisnu Mandaya Yusuf Yusuf Zaenal Abidin Zailani Surya, Marpaung Zainal Arifin Zakariyati, Zakariyati Zamruddin, Mardliya Pratiwi Zara Tania Rahmadi Zobir, Obing Said Zulkarnaen, Zen