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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Paradigma : Journal of Science, Religion and Culture Studies BULETIN OSEANOGRAFI MARINA PRISMA FISIKA Jurnal Sains dan Teknologi El-HARAKAH : Jurnal Budaya Islam Islam Futura Jurnal Fisika Unand Journal of Educational Science and Technology JURNAL NASIONAL TEKNIK ELEKTRO Indonesia Chimica Acta Jurnal Geocelebes Sistemasi: Jurnal Sistem Informasi SAINTIFIK@ : Jurnal Pendidikan MIPA Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JTT (Jurnal Teknologi Terpadu) Jurnal Ilmiah Peuradeun Arsitektura : Jurnal Ilmiah Arsitektur dan Lingkungan Binaan Jurnal Laut Khatulistiwa Al-Hayat: Journal of Islamic Education Elektrika Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya Sebatik Chemistry Indonesian Journal of Chemical Research JURNAL PENDIDIKAN TAMBUSAI Japanese Research on Linguistics, Literature, and Culture Al-Hikmah: Jurnal Agama dan Ilmu Pengetahuan Al-Qalam JIKAP PGSD: Jurnal Ilmiah Ilmu Kependidikan Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan Jambura Journal of Electrical and Electronics Engineering Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) Journal of Applied Health Management and Technology Bada'a: Jurnal Ilmiah Pendidikan Dasar Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmiah Profesi Pendidikan Buletin KKN Pendidikan International Journal of Advances in Data and Information Systems Journal of Applied Science, Engineering, Technology, and Education Hanifiya: Jurnal Studi Agama-Agama Jurnal Teknik Industri Terintegrasi (JUTIN) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) Community Empowerment jurnal dikdas bantara Journal of Applied Data Sciences PENGABDI: Jurnal Hasil Pengabdian Masyarakat Jurnal Dedikasi Bisnis Net : Jurnal Ekonomi dan Bisnis Arsitekno Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) MUSHAF: Jurnal Tafsir Berwawasan Keindonesiaan LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Journal of Multidisciplinary Applied Natural Science Al-Ashr : Jurnal Pendidikan dan Pembelajaran Dasar Share: Jurnal Ekonomi dan Keuangan Islam Jurnal Pendidikan dan Pembelajaran Sekolah Dasar (JPPSD) COVIT JITU (Jurnal Ilmiah Teknik Unida) Chemical Engineering Journal Storage (CEJS) Journal of Lex Philosophy (JLP) Volksgeist: Jurnal Ilmu Hukum dan Konstitusi Jurnal Penelitian Ilmu Ushuluddin Jurnal Pengabdian Mandiri JOMPA ABDI: Jurnal Pengabdian Masyarakat Edukasia: Jurnal Pendidikan dan Pembelajaran Journal of Agriculture (JoA) Global Journal Basic Education Jurnal Riset Agama Jurnal Bangun Abdimas Sambulugana Syarah: Jurnal Hukum Islam dan Ekonomi Takwil: Journal of Quran and Hadith Studies International Journal of Educational Research Excellence (IJERE) Internet of Things and Artificial Intelligence Journal Jurnal Semiotika-Q: Kajian Ilmu al-Quran dan Tafsir Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Economics and Business Journal JUQUTS Innovative: Journal Of Social Science Research IPTEK: Jurnal Hasil Pengabdian kepada Masyarakat Journal of Vocational Instruction Riset Informasi Kesehatan Jurnal Pengabdian Harapan Ibu (JPHI) Jurnal Ilmiah Mahasiswa Arsitektur dan Perencanaan Jurnal Pendidikan Kimia Unkhair (JPKU) Ininnawa: Jurnal Pengabdian Masyarakat JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Riwayat: Educational Journal of History and Humanities Jurnal Cendekia Mengabdi Berinovasi dan Berkarya Aceh Journal of Electrical Engineering and Technology Infolitika Journal of Data Science Jurnal Keguruan dan Ilmu Pendidikan (JKIP) RESPON Jurnal Ilmiah Mahasiswa Ilmu Komunikasi Al-Balad : Jurnal Hukum Tata Negara dan Politik Islam Oseanologia AGROTEKBIS: Jurnal Ilmu Pertanian PROSIDING SEMINAR NASIONAL DAN INTERNASIONAL HIMPUNAN SARJANA-KESUSASTRAAN INDONESIA Al Iidara Balad : Jurnal Administrasi Negara Jurnal MediaTIK JIMMI: Jurnal Ilmiah Mahasiswa Multidisiplin Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal RAUT Jurnal Cendekia Ilmiah Ulil Albab JUKEMAS : Jurnal Pengabdian Kepada Masyarakat Public Policy: Jurnal Ilmu Sosial dan Kebijakan Jurnal Binakes JILS (Journal of Indonesian Legal Studies) Hadara : Journal of Da'wah and Islamic Civilization Agroscript: Journal of Applied Agricultural Sciences Jurnal bahasa, sastra, seni, dan pengajarannya
Muliadi
Universitas Iskandar Muda
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Uji Sensitivitas Metode Aras Dengan Pendekatan Metode Pembobotan Kriteria Sahnnon Entropy Dan Swara Pada Penyeleksian Calon Karyawan Halimah, Halimah; Kartini, Dwi; Abadi, Friska; Budiman, Irwan; Muliadi, Muliadi
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 4 No. 2 (2020)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v4i2.194

Abstract

Penelitian ini melakukan uji sensitivitas metode Additive Ratio Assessment (ARAS) pada penyeleksian calon karyawan dengan pendekatan pembobotan kriteria menggunakan metode Shannon Entropy dan metode Stepwise Weight Assessment Ratio Analysis (SWARA) yang bertujuan untuk mengukur seberapa sensitif metode ini jika diterapkan pada sebuah kasus pengambilan keputusan. Data yang digunakan ialah data penyeleksian calon karyawan. Uji Sentitivitas pada penelitian ini digunakan untuk mengetahui metode yang lebih sensitif saat diterapkan pada suatu kasus. Metode perangkingan menggunakan ARAS karena metode perangkingan ini memiliki fungsi utilitas dan nilai optimalisasi. Metode Shannon Entropy bobot kriteria diperoleh berdasarkan perhitungan data alternatif penyeleksian karyawan, sedangkan metode SWARA bobot kriteria diperoleh dari pakar atau si pengambil keputusan. Hasil penelitian ini menunjukkan bahwa metode yang paling sensitif dengan kasus penyeleksian calon karyawan adalah metode SWARA-ARAS yang pemberian bobotnya berdasarkan pakar atau si pengambil keputusan dengan hasil sebesar 91,24203% lebih tinggi dibandingkan metode Shannon Entropy-ARAS yang hasil sebesar 74,75263%.
Upaya peningkatan status kebersihan gigi dan mulut melalui siwak sebagai alat bantu sikat gigi Asio, Asio; Sukarsih, Sukarsih; Silfia, Aida; Muliadi, Muliadi
Jurnal Pengabdian Harapan Ibu (JPHI) Vol 5 No 2 (2023): Jurnal Pengabdian Harapan Ibu (JPHI)
Publisher : Sekolah Tinggi Ilmu Kesehatan Harapan Ibu Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30644/jphi.v5i2.805

Abstract

The results of the seiwak research carried out by researchers in 2021 show that there is a significant difference in the mean OHI-S score between the use of siwak wood as a toothbrush tool in the intervention group and the control group who only brushed their teeth, namely -3,259 ± 0.00. This difference shows that using miswak as a toothbrush aid is more effective in cleaning teeth and mouth than just brushing your teeth. The results of an initial survey conducted at the Kumpeh Da Aru Attauhid Islamic boarding school, of the 10 students who were asked how and the benefits of miswak, only one person could answer. The type of service carried out to the village partner communities is a program to improve the level of dental and oral health at the Kumpeh Da Aru Attauhid Islamic Boarding School, Muaro Jambi Regency. Only 20.5% of respondents had a high level of knowledge before the intervention, namely 41 people consisting of 21.80% poor OHIS, 4% moderate, and 2% good. Respondents who had a high level of knowledge criteria after the intervention were 99%, namely 198 people consisting of 0% poor OHIS, 1% moderate, and 99% good. The statistical test output shows the p-value of knowledge and OHI-s of Santri is 0.000. Because the value of 0.0000 < 0.05 means there is a difference between the level of knowledge and OHI-IS pre-test and post-test, it can be concluded that community service by providing education on brushing teeth and using miswak as a tool can improve the OHI-S of students.
Application Of SMOTE To Address Class Imbalance In Diabetes Disease Classification Utilizing C5.0, Random Forest, And SVM M. Khairul Rezki; Mazdadi, Muhammad Itqan; Indriani, Fatma; Muliadi, Muliadi; Saragih, Triando Hamonangan; Athavale, Vijay Annant
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 4 (2024): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i4.434

Abstract

The implementation of SMOTE to tackle class imbalance in classification frequently results in suboptimal outcomes, owing to the intricacy of the dataset and the multitude of attributes at play. Consequently, alternative classification models were explored through experimentation to gauge their precision. This research aims to compare the precision of C5.0, Random Forest, and SVM classification models both with and without SMOTE. The methodology encompasses dataset selection, an overview of classification algorithms (C5.0, Random Forest, SVM), SMOTE technique, validation via split validation, preprocessing involving min-max normalization, and execution evaluation utilizing confusion matrices and AUC analysis. The dataset was sourced by Kaggle, specifically to rectify class imbalance in a diabetes dataset using SMOTE, consisting of 768 instances, with 268 samples for diabetic cases and 500 samples for non-diabetic cases. Prior to SMOTE application, the classification precision for C5.0, Random Forest, and SVM were 0.714, 0.733, and 0.746 respectively, with corresponding AUC values of 0.745, 0.824, and 0.799. Post-SMOTE, the precision depicts for the same techniques were 0.603, 0.727, and 0.727, with AUC values of 0.734, 0.831, and 0.794 respectively. It can be inferred that there's minimal impact post-SMOTE across the three classification models due to potential overfitting on the dataset, leading to excessive reliance on synthesized data for minority classes, resulting in diminished model execution, precision, and AUC scores.
Classification of Lung Disease in X-Ray Images Using Gray Level Co-Occurrence Matrix Method and Convolutional Neural Network Nurcahyati, Ica; Saragih, Triando Hamonangan; Farmadi, Andi; Kartini, Dwi; Muliadi, Muliadi
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 4 (2024): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i4.457

Abstract

The lungs are a very important part of the human body, as they serve as a place for oxygen exchange. They have a very complex task and are susceptible to damage from the polluted air we breathe every day, which can lead to various diseases. Lung disease is a very common health problem that can be found in everyone, but there are still many people who do not pay attention to their lung health, making them vulnerable to lung disease. One of the methods used to detect lung disorders is by examining images obtained from X-rays. Image processing is one of the techniques that can also be used for lung disease identification and is most commonly used in medical images. Therefore, the purpose of this research is to implement image processing to determine the accuracy of lung disease identification using deep learning algorithms and the application of feature extraction. In this research, there are two experiments conducted consisting of the application of the classification method, namely Convolutional Neural Network and Gray Level Co-Occurrence Matrix feature extraction with CNN. The results show that the CNN model gets a precision of 0.92, recall of 0.92, f1-score of 0.92, and average accuracy of 0.92. The combination of the GLCM method with CNN produces a precision of 0.87, recall of 0.87, f1-score of 0.87, and average accuracy of 0.87. The results of this study indicate that the use of CNN in the lung disease classification model based on X-ray images is superior to the GLCM-CNN method.
Implementation of Extreme Learning Machine Method with Particle Swarm Optimization to Classify of Chronic Kidney Disease Muhammad Mursyidan Amini; Mazdadi, Muhammad Itqan; Muliadi, Muliadi; Faisal, Mohammad Reza; Saragih, Triando Hamonangan
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 4 (2024): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i4.561

Abstract

Kidney Disease (CKD) appears as a pathological condition due to infection of the kidneys and blockages due to the formation of kidney stones. In the Indonesian context, kidney disease is the second most common disease after heart disease based on BPJS Health data. Notably, in this scenario, medical practitioners and individuals with specialized knowledge in the field are still faced with challenges in effectively classifying CKD cases, thereby making them vulnerable to erroneous diagnostic conclusions. The main objective underlying this particular research effort revolves around increasing the level of accuracy that characterizes the CKD classification process by orchestrating the incorporation of Particle Swarm Optimization (PSO) techniques into the operational framework of Extreme Learning Machines (ELM) with the aim of ensuring optimal results. Configuration of input weights and critical biases to achieve superior diagnostic results. The results obtained from the investigation process include many numerical parameters including but not limited to determining the ideal number of hidden nodes set at 11, population size 80, identification of the most preferred number of iterations denoted by the Best value of 20, aggregate inertia weight assessed at 0.5, along with the constants 1 (c1) and 2 (c2) each registering a value of 1, culminating in the achievement of an accuracy metric pegged at an impressive level of 98.50%. Consequently, the implications obtained from this empirical investigation strengthen the assertion that the use of PSO optimization strategies within the operational framework of ELM has the potential to yield major advances in the classification evaluation domain related to CKD diagnosis.
ANALISIS HUKUM DAN KEBIJAKAN DALAM PENANGGULANGAN PERDAGANGAN ORANG DI INDONESIA Muliadi, Muliadi; Adnan, Idul
AL-BALAD : Jurnal Hukum Tata Negara dan Politik Islam Vol. 4 No. 1 (2024): Al-Balad : Jurnal Hukum Tata Negara dan Politik Islam
Publisher : PRODI HUKUM TATANEGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59259/ab.v4i1.163

Abstract

This research aims to analyze human trafficking, which is a form of transnational crime that continues to increase in Indonesia, even though various legal and policy efforts have been taken to tackle it. This study aims to analyze the driving factors behind the crime of human trafficking and identify the challenges facing the implementation of countermeasures policies in Indonesia. The two problem formulations that are the focus of this research are: first, what are the factors that encourage the crime of human trafficking in Indonesia? Second, what challenges are faced in implementing policies to combat human trafficking in Indonesia? The results of this research show that the main driving factors include poverty, low levels of education, gender inequality, and weak law enforcement. In addition, the main challenges in implementing policies include less than optimal coordination between institutions, limited resources, and cultural and social barriers. Based on these findings, a holistic and synergistic approach is needed between the government, society and international institutions to increase the effectiveness of combating human trafficking in Indonesia.
PENGEMBANGAN BUKU PANTAU KESEHATAN GIGI ANAK USIA DINI Febrianti, Sri; Halid, Idham; Muliadi, Muliadi
JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan P-ISSN : 1979-3340 e-ISSN : 2685-7987 Vol 15 No 2 (2023): JUNI
Publisher : NHM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36089/job.v15i2.1115

Abstract

Az-Zahra Islamic Kindergarten is a kindergarten located on Jl. R. Sahbudin Forestry Complex Block E 13 Mayang Mangurai, Alam Barajo District, Jambi City. The kindergarten has never had a dental health check-up and about 5 students have experienced toothache during the teaching and learning process and 2 students have been absent from school due to toothache. Furthermore, based on the results of a survey with interviews with 10 parents via Smart Phones, they said that their children rarely brush their teeth before going to bed at night, usually only brush their teeth when bathing in the morning and evening and rarely even check their children's teeth at the dental and oral health service. Research and Development/ (R&D). This study aims to develop dental and oral health education media for parents in maintaining dental health through an early childhood dental health monitoring book. The results of the assessment from the book and material expert validators are known to have a feasibility score of 82% and 83% with a very decent category (without revision). so that the dental health monitoring book deserves to be tested by users. user feasibility test to 30 parents, especially mothers in Az-Zahra Islamic Kindergarten and get very decent results without revision. The dental health monitoring book is suitable as a medium for dental health education for parents
Estimasi Tinggi Gelombang Signifikan Di Pesisir Sengkubang Mempawah Kalimantan Barat Pratiwi, Nabella Dwi; Muliadi, Muliadi; Risko, Risko
Oseanologia Vol 3, No 1 (2024): April
Publisher : Program Studi Ilmu Kelautan FMIPA Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jose.v3i1.77583

Abstract

Penelitian ini dilakukan untuk mengetahui tinggi dan periode gelombang signifikan di Pesisir Sengkubang, Mempawah Kalimantan Barat. Data yang digunakan meliputi data primer hasil observasi lapangan dan data sekunder dari European Center For Medium-Range Weather Forecasts (ECMWF) yang dianalisis dengan metode Shore Protection Manual . Hasil penelitian menunjukkan tinggi gelombang signifikan ( Hs ) dari observasi lapangan yang diperoleh sebesear 0,574 m dengan periode gelombang signifikan ( Ts ) sebesar 12,388 s. Sementara hasil ramalan dari data ECMWF diperoleh tinggi gelombang signifikan (Hs) sebesar 0,547 m dengan periode gelombang signifikan (Ts) sebesar 3,525 s. Perbedaan ini disebabkan oleh penggunaan dua jenis data yang mempunyai cara pengambilan yang berbeda satu sama lain
Pemberdayaan Kelompok Pemulung Poi Panda Melalui Pembuatan Tas dari Limbah Pembungkus Jas Jus di Kawatuna Muliadi, Muliadi; Samsuria, Samsuria; Rahman , Abdul; Ade Irawan, Muhammad; Latifa, Latifa
Sambulu Gana : Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2024): Januari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/sambulu_gana.v3i1.4054

Abstract

Pandangan terhadap pemulung sampah dapat dilihat dari berbagai sudut pandang, bila memandang pemulung sampah sebagai mitra dari sisi kacamata positif akan terlihat manfaat besar yang diraih dari kegiatan memulung, namun praktiknya masih rendahnya pendapatan para pemulung, sehingga diperlukan pengetahuan dan keterampilan kepada kelompok mitra dalam mengolah sampah, khususnya sampah plastik pembungkus jas-jus menjadi produk kerajinan tangan. Produk yang dapat dihasilkan dari kerajinan tangan pembungkus jas-jus adalah berupa Tas dengan berbagai model dan bentuk. Memberikan pengetahuan kepada kelompok mitra tentang kewirausahaan, seperti cara memulai suatu usaha, bagaimana memilih usaha yang tepat sesuai dengan potensi yang dimiliki, manajemen keuangan dasar, pembukuan, manajemen produksi, dan manajemen pemasaran. Selain memberikan pengetahuan tentang manajemen berwirausaha, Tim Pengabdian pada masyarakat juga berusaha menanamkan jiwa kewirausahaan dalam diri kelompok mitra, serta memotivasi mitra untuk mengubah hidup menjadi lebih maju dengan cara berwirausaha memanfaatkan potensi sampah yang ada disekitarnya
PKM KELOMPOK IBU-IBU KECE MELALUI PEMBUATAN DENDENG KELOR MENCEGAH STUNTING DI DESA BALIARA KECAMATAN PARIGI BARAT KABUPATEN PARIGI MOUTONG Muliadi, Muliadi; Hati Baculu, Eka Prasetia; Rukhayati, Rukhayati; Alyah, Nurul; Kurniawan, Moh Rizky
Sambulu Gana : Jurnal Pengabdian Masyarakat Vol. 3 No. 3 (2024): September 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/sambulu_gana.v3i3.6056

Abstract

Tanaman kelor saat ini sudah banyak dibudidayakan dipekarang-pekarang rumah masyarakat Desa Baliara Kecamatan Parigi Barat, Kabupaten Parigi Moutong Provinsi Sulawesi Tengah, potensi tanaman kelor tersebut kemudian dikembangkan oleh kelompok ibu-ibu kece menjadi produk olahan makanan ringan dan menyehatkan salah satunya adalah Dendeng Kelor selain bernilai ekonomis, Dendeng Kelor juga memiliki potensi memperbaiki kekurangan gizi, kelaparan, serta mencegah stunting karena tanaman kelor terbukti secara ilmiah merupakan sumber gizi yang berkhasiat dibandingkan dengan tanaman pada umumnya.
Co-Authors . Apriansyah .B, Sunarti A. Kushadiwijayanto, Arie A.Nurrahman, Yusuf Abbas Baco Miro Abd, Misswar Abd. Kadir Abdal, Nurul Mukhlisah Abdilah, Muhammad Fariz Fata Abdul Aziz Abdul Hafid Abdul Haris Watoni Abdul Majid Abdul Rahman Abdul Rasyid Abdurahman Abdurrahman Abdurahman, Uray Muchlis Adawiah, Putri Rabiatul Ade Irawan, Muhammad Adelia Liemansyaputri , Maudy Adha, Zuhra Adiba, Fhatiah affrian, reno Afifa, Ridha Afrin, Rezuana Agus Fardesi Agus Perdana Windarto Agus Salim Agus Wahyudi Agustina, Sella Ahdan, Ahdan Ahmad Ahmad Ahmad Muchsin Jayali Ahmad Sholeh Ahmad Srinaldi Ahmad Watsiq Maula Ahmad Zulfan, Ahmad Ahmar, Ansari Saleh Ahmed, Ahmed Aida Silfia Aiman Abu Khair Ainun Mardiah Akbal, Fatimah Akbar Iskandar Al Ghifari, Faishal Alamudin, Muhammad Faiq Alfany, Chalida Alfiati, Helmi Ali Akbar Alkhairi, Putrama Almas, Almas Alyah, Nurul Amelia, Rezi Amin, Kasma F. Amin, Nurtaqwa Amna, Nurlaila Amrina Yusra Andi Farmadi Andi Ihwan Andi Mulkan Andriani, Cut Yessi Anggraini, Indah Annisa Annisa Annisa, Cindy Fatika Nur Annisa, Dira Ayu Anshari, Muhammad Ridha Anton Widyanto Apriliansyah, Feby Arafat, Muhammad Yasser Arafat, Pratitou Arianto Arianto Arif Saputra, Arif Arifin, Afrisal Arifin, Jamaluddin Arista, Alfina Dian Arpandi, Arpandi Ary Antony Putra, Ary Antony Aryanti, Agustia Kuspita Asio Asio, Asio Aslinda, Aslinda Asni Asni Assaad, A. Istiqlal Asyadi, Teuku Murisal Athavale, Vijay Anant Athavale, Vijay Annant Aulia Nanda, Hafidz Aulia, Ivan Awadin, Adi Pratama Awalia , Reski Ayuni, Nurul Alifa Azkar, Nurul Azmi, Khusnul Ulul B, Rosleny B, Syamsul Badali, Rahmat Amin Badarudin Bahaking Rama Bahar, Muhammad Mahdinul Bara, Unsi Andal Basimin, Mudzuna Quraisyah Baso, Fadhlirrahman Baturante, Nur Jannah Bayu Rangga Julian Bedjo Santoso Kadri Berlin, Wisnu Sanjaya bin Mahsyar, Ahmad Dhiyaul Haq Boy, Hendry Budi, Arief Setya Bukhari Bukhari Busro, B. Caesary MP , Nurfadillah Cahya Wulandari Cecep Edi Hidayat Cendana, Adji Saputra Choiriyah Widyasari Cut Daili Dadang Kusmana Dahlawy, Arriz Daili, Cut Dede Puspa Pujia Dedi Iskandar Dewi Fatmarani Surianto Dillah, Salsa Dimas Chaerul Ekty Saputra Djalal Fuadi Dodon Turianto Nugrahadi Dwi Kartini, Dwi Dwi Wulan Sari Dwiria Wahyuni Dyah. P, RR. Ratnasari Eddy Kurniawan Ediwan, Ediwan Eka Prasetia Hati Baculu, Eka Erwina Erwina, Erwina Eva, Theresia F. Amin, Kasma Fadhillah, Muhammad Alif Fadillah, M. Surya Fahrezy, Irgy Ahmad Fahrul Rozi Farid Husni Husni Fatiha , Nurul Fatma Indriani Fauzi Fauzi Fauzi Fauzi Febrianti, Sri Fiansi, Fiansi Firdaus Firdaus Firman Firman Firmansyah, Aidil Firwan Moesnadi Fitri S Kasim Fitriani S.B Friska Abadi Fuad Ansyari*, Ahmad Gazi, Sydur Rahman Gojali, muhtar Gunawan, Khairol Guntara, Erda Hadawiah, Hadawiah Hadi, Rizal Hadis, Muhammad Sabirin Hafizah, Rini Hafsyaridewi, Hafsyaridewi Hakkun Elmunsyah Halik, Idham Hanapi, Hariani Hardi Hardi, Hardi Haritani, Hartini Haritani - Harun Joko Prayitno Hasanuddin Hasanuddin Havna, Havna Helena, Shifa Herteno, Rudy Hidayah, M. Fariq Hifdzi Syahril Mawardi Hilda Ashari Hizir Sofyan Humaira B, Nurul Isra Husaini Husen, La Ode Ibrahim, Muh. Rayes Idawati, Nora Idham Halid Idul Adnan Iistika, Iistika Ikha Safitri Ilyas Mulyana Irfana Diah Faryuni Irfandi Irfandi, Irfandi Irwan Budiman Irwan Nurdiansyah, Sy. ISLAMIYAH, NUR Isnandar Isrori, Indah Nahdiat Jamal Aswijar Joko Sampurno Jumadi Mabe Parenreng Jumarang, Muh Ishak JUMARDI Junaidi Junaidi Junaidi Kamal, Saiful Kandowangko, Alviona Karmala, Karmala Kasmawan, Kasmawan Keumala, Cut Ratna Khairul, Moh Khofifah, A Sri Kholik Prasojo Khotimah, Yulia Azmi Komara, Osfir Candikia Rara Kruba, Rumaisa Kurniawan, Moh Rizky Kushadiwijayanto, Arie Antasari Kushadiwiojayanto, Arie Antasari Kuswana, Dadang La Ode Reskiaddin Landu, Anti Latifa, Latifa Lestari, Putri Riya Lia, Resky Amalia Liestianty, Deasy Linasari, Linasari M. Choiroel Anwar M. Khairul Rezki Mahalla, Mahalla Mahalla, Mahalla Maimun Maimun Maisa Maisa, Maisa Majid , Abd Majid, Abd. Malik, Muh Nasir Mangesa, Riana T Mansyur Mansyur Mardalena, Selvi Mardiana Mardiana Marlinda Marlinda Martin Martin Martunis - Marwan, T Masdar Djamaluddin Masrukhi Masrukhi Massuro, Lusyndatul MAULA, PUTRINDA INAYATUL Maulana, Agung Lan Maulani Maulani, Maulani Maulidiyah Maulidiyah Mawaddah, Siti Afifah Md. Hossain Khan, Abu Abdulla Al-Mamun Mega Nurhanisa Miftahul Jannah Miharja, Muhammad Hidayat Jaya Minsas, Sukal Mislaini Mislaini Muh Nasrullah, Muh Muh. Edihar Muh. Ishak Jumarang Muhammad Amin Muhammad Arif Muhammad Fauzi Muhammad Idris Muhammad Ilham Muhammad Itqan Mazdadi Muhammad Jabal Nur, Muhammad Jabal Muhammad Maulana Muhammad Mursyidan Amini Muhammad Nurdin Muhammad Raudhi Azmi Muhammad Reza Faisal, Muhammad Reza Muhammad Riza Pahlevi Muhammad Zakir Muhammad Zuhdi Muhardi Muhardi Muhardi Muin, Nurmiah Mujahidah Mujahidah Mujibul Ikhsan Mulyadi Mulyadi Munandar, Tri Imam Muslimin, Abdul Azis Mustafa, Linda Kurnia Muttaqin Mustari , Andi Muzakkar, Muhammad Zakir Muzdalifa, Eccy Sitti N. Nazaruddin Nasruddin Nasruddin Nazaruddin, Nazaruddin Noorhafizi, Muhammad Nur Afnih, Dwi Nuraeni Nuraeni Nuraini - - nuramalia, Tri Nurcahyati, Ica Nurdiansyah Nurdiansyah Nurdiansyah, Syarif Irwan Nurdin Nurdin Nurfadillah Nurfadillah Nurfatimah Sugrah Nurhasanah Nurhasanah Nurinsan , Muh. Rifky NURLIANA NURLIANA Nurmawaddah , Nurmawaddah Nurmiani, Nurmiani Nurul Hikmah Nurul Islam NURZAENAB, NURZAENAB Nuzulul, Ririn Chintia Okto Ivansyah Padlurrahman, Padlurrahman Patola, Basri Perdana, Radhitya Perdhana, Radhitya Prasetya, Irvan Nur Pratama, Farhan Pratiwi, Nabella Dwi Prayitno, Dwi Imam prayoga, Akbar Pristi, Eka Destriyanto Purnomowati, RR Ratnasari Dyah Putri, Adelia Kurnia Putri, Andini Aurelia Putri, Ulayya Putri, Wanda Muliandira Rabiah, Sitti Raden Mohamad Herdian Bhakti Radityo Adi Nugroho Rahim, Rahim Rahman , Abdul Rahmat Kartolo Rahmat Rahmat Rahmi Dewanti Palangkey Rajai, Afdhalul Ramadansyah, Agung Ramadeska, Siti Ramadhan, Aldy Ramadhan, Maidy Ramadhan, Rafsanjani Ramadhani, Indri Pratiwi Ramli, Ahmad Reca Reca Reskika, Sari Rezki Pratama Putra , Andi Rezky Anisar, Muh. Alief Riana Nurmalasari Ribuan, Ribuan Ridwan Arifin Ridwan, M. Arif Rifai, Riski Thamrin G. Riska, Muhammad Risko, Risko Risnayanti, Risnayanti Riyan Maulana Riza Adriat Rizal, Agus Rizki Afriadi Rizky, Muhammad Miftahur Rohmah, Nanda Dwi Rohman Rohman Rohman, Hizqil Fadl Rosmalah Rosmalah, Rosmalah Rozanna Dewi Rozaq, Hasri Akbar Awal Rozaq, Hasri Awal Akbar Rudi, David Rudy Herteno Rukayah Rukayah Rukhayati Ruslan Ruslan Rusliana, Iu S.J Sofiana, Mega Sabir, Achmad Safitri, Desti Suci Saharuddin, Yusliani Sahdan, Putri Saktia Fitri, Rati Saleh, Ramlah Salsabila Nurul Imam, Jahira Samsuria, Samsuria Sandi, Dala Novika Saputra, Irka Saragih, Triando Hamonangan Sari, Anggi Novita Sasmita, Novi Reandy Satriani D H, Satriani D H Satriani Satriani Seppa, Yusi Irensi Setyo Wahyu Saputro Shamim Al Mamun, Shamim Al Siti Suwadah Rimang, Siti Suwadah Sitti Jauhar Sitti Jauhar, Sitti Solihin, Muhtar Solikhun Solikhun, Solikhun St. Jauhar, St. Jauhar Suara, M. Teguh Jaka Satya Samudra Jati Subarsyah Subarsyah Subhan Subhan Subhan Subhan Sudarto Sudarto Sudarto Sudirman Suhada, Ade Anang Suhartono Sujarwan, Fahrul Sukarsih Sukarsih, Sukarsih Sulhatun Sulhatun Sulistina, Sulistina surayah, surayah Sutardi, Edi SUTIKNO Syaadah, Himatus Syahrial Ayub, Syahrial Syahrul Syahrul syamsidar syamsidar Syamsuddin Syamsuddin Syamsul Hadi Syarafina, Risky Haezah Syukri Syukri Syukri Syukri Syukri Syukri Syukri Tasya Putri Nurhayat Taufiq, Wildan Taufiq, Wildan Tazkiyatunnafs Elhawwa Teuku Mahmuda Rahmat Rezki Teuku Multazam Teuku Rizky Noviandy Teuku Sufriadi Ramadhani Teuku Zulfadli Thaha, Abd Rahim Trisnadi, Yogi Septia Ulfa, Fitratul Ulpa, Mirnawati Ulya, Azizatul Usman, Harlina Utami, Reksi Wahyu Hidayat M Wahyudi AR, Nirwan Wahyuni , Maya Sari Warsidah, Warsidah Wasik, Abdul Widarda, Dodo Widiantoro, Aldy Wiguna , Anggri Sartika Windiahsari, Windiahsari Wulandari, elysa Yarmaliza YILDIZ, Oktay Yoga Satria Putra Yudistira, Saptanadi Yunizar, Muhammad Yuris Sutanto Yusuf Arief Nurrahman Zahirah, Putri Zahriah, Zahriah Zaidah, Nurul Zainuri, Hamzah Zelfia Zulfian Zulfian Zulfikri Zulfikri, Zulfikri Zulnazri, Z `B Aritonang, Anthoni