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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 Jurnal Kelautan : Indonesian Journal of Marine Science and Technology 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 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 Journal of Applied Science, Engineering, Technology, and Education Computer Science and Information Technologies 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 Journal of Community Development Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) MUSHAF: Jurnal Tafsir Berwawasan Keindonesiaan LEARNING : Jurnal Inovasi Penelitian Pendidikan dan Pembelajaran Journal Peqguruang: Conference Series 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 Pendidikan Dasar dan Sosial Humaniora International Journal of Hydrological and Environmental for Sustainability Seminar Nasional Pengabdian Kepada Masyarakat 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 Jurnal Pengabdian Masyarakat Bhinneka Takwil: Journal of Quran and Hadith Studies 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 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 JIMMI: Jurnal Ilmiah Mahasiswa Multidisiplin Macca: Science-Edu Journal Interaksi : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal RAUT Senarai: Journal of Islamic Heritage and Civilization J-CEKI Ulil Albab Jurnal Binakes JILS (Journal of Indonesian Legal Studies) Hadara : Journal of Da'wah and Islamic Civilization Agroscript: Journal of Applied Agricultural Sciences
Muliadi
Universitas Iskandar Muda
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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.
STATUS UNSUR HARA KALIUM TANAH PADA LAHAN PADI SAWAH DI DESA RANTELEDA KECAMATAN PALOLO KABUPATEN SIGI Muliadi, Muliadi; Thaha, Abd Rahim; Amelia, Rezi
AGROTEKBIS : JURNAL ILMU PERTANIAN (e-journal) Vol 11 No 1 (2023): Februari
Publisher : Fakultas Pertanian, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The objective of this research was to assess the potassium nutrient status in lowland rice fields. The study was conducted in Ranteleda Village, Palolo Sub District, Sigi District, from January to June 2021. Soil samples was analyzed at the Soil Science Unit Laboratory, Faculty of Agriculture, Tadulako University, Palu. A survey method was employed in this research, and a purposive sampling technique was used to determine soil sampling locations. The soil sampling was carried out at two different depths: 0-20 cm and 20-40 cm. Each sampling point was considered as a replicate. The results revealed that soil K-Total content ranged from 38.54 to 36.62 mg/100g (moderate). The soil pH was moderately acidic, with a range of 6.23 to 5.08. The organic carbon content (C-organic) ranged from 3.31% to 2.58% (moderate). The soil CEC was found to be in the range of 13.19 to 10.54 me/100g (low). The exchangeable bases showed very low K (0.11 me/100g), very low Ca (1.16 me/100g), moderate Mg (1.15me/100g), and a moderate Na (0.31 me/100g).
Pola Pembelajaran “Makan Roti Manis” dalam Membentuk Karakter Peserta Didik di Taman Kanak-Kanak Muliadi, Muliadi; Badarudin, Badarudin; Padlurrahman, Padlurrahman
BADA'A: Jurnal Ilmiah Pendidikan Dasar Vol. 5 No. 2 (2023): :Badaa: Jurnal Ilmiah Pendidikan Dasar
Publisher : Fakultas Tarbiah Institut Agama Islam (IAI) Hamzanwadi Pancor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37216/badaa.v5i2.1179

Abstract

Pola pembelajaran “Makan Roti Manis” merupakan kegiatan kokurikuler berbasis proyek yang dirancang untuk menguatkan upaya pencapaian kompetensi dan pembentukan karakter sesuai 6 dimensi profil pelajar Pancasila yaitu Beriman, Bertaqwa, Dan Berakhlak Mulia, Kebhinekaan Global, Mandiri, Gotong Royong, Kreatif Dan Bernalar Kritis. TK An-Nur adalah salah satu sekolah yang menjalankan pendidikan anak usia dini dan telah melaksanakan kurikulum merdeka. Pada penelitian ini kurikulum merdeka dilaksanakan dalam bentuk proyek yang menekankan pada penguatan profil pelajar Pancasila. Dari hasil penelitian yang telah dilaksanakan, implementasi pembelajaran dilakukan oleh para guru dengan melibatkan seluruh komponen dan stakeholder yang ada seperti guru, kepala sekolah,siswa dan wali murid untuk sama-sama berkolaborasi sehingga tercipta suasana belajar yang kondusif dan menyenanngkan. Pelaksanaan proyek penguatan profil Pancasila yang di singkat 5P melalui bebrapa tahapan, mulai dari diskusi antar guru, kepala sekolah untuk menentukan tema/topik yang akan dibahas, kemudian mendisain modul ajar, menentukan alokasi yang dibutuhkan, sarana dan prasarana yang dibutuhkan serta mengevaluasi hasil belajar siswa yang nantinya akan menjadi acuan pada pelaksanaan projek berikutnya. Selajutnya menganalisis kendala-kendala selama pembelajaran berlanngsung dengan tetap mengutamakan kerjasama antara pihak sekolah dengan stakeholder yang ada.
Co-Authors . Apriansyah .B, Sunarti A, Abd Kadir A. Kushadiwijayanto, Arie A.Nurrahman, Yusuf Abbas Baco Miro Abd Kadir, Abd Abd, Misswar Abd. Kadir Abdal, Nurul Mukhlisah Abdilah, Muhammad Fariz Fata Abdul Aziz Abdul Hafid 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 Ahmar, Ansari Saleh Ahmed, Ahmed Aida Silfia Aiman Abu Khair Ainun Mardiah Akbal, Fatimah Akbar Iskandar Al Ghifari, Faishal Alamudin, Muhammad Faiq Alfando, Muhammad Alvin Alfany, Chalida Alfiati, Helmi Ali Akbar Alkhairi, Putrama Almas, Almas Alyah, Nurul Amelia, Rezi Amin, Kasma F. Amin, Nurtaqwa Amir Machmud, Amir Amna, Nurlaila Amrina Yusra Andi Farmadi Andi Ihwan Andriani, Cut Yessi Annisa Annisa Annisa, Cindy Fatika Nur Annisa, Dira Ayu Anshari, Muhammad Ridha Anton Widyanto Aprilia, Nuraqila Apriliansyah, Feby Arafat, Muhammad Yasser Arafat, Pratitou Ardianto, Randy Arianto Arianto Arif Saputra, Arif Arifin, Afrisal Arifin, Jamaluddin Arista, Alfina Dian Arpandi, Arpandi Ary Antony Putra, Ary Antony Aryanti, Agustia Kuspita Ashari, Hilda 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 Awaluddin Muin, Awaluddin Ayuni, Nurul Alifa Azkar, Nurul Azmi, Pendi Nurul B, Rosleny Badali, Rahmat Amin Badarudin Bahaking Rama 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 Dahlawy, Arriz Daili, Cut Dede Puspa Pujia Dedi Iskandar Dewi Fatmarani Surianto Dewi Lestari DH, Satriani 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 Edy Sofyan, Edy Eka Prasetia Hati Baculu, Eka Prasetia Erwina Erwina, Erwina Eva, Theresia F. Amin, Kasma 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 Firdayanti, Firdayanti 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 Hafid, Abd Hafizah, Rini Hafsyaridewi, Hafsyaridewi Hakkun Elmunsyah Halik, Idham Halimah Halimah Hanapi, Hariani Hardi Hardi, Hardi Harding, Nur azizah Oktaviani Haritani, Hartini Haritani - Harun Joko Prayitno Hasanuddin Hasanuddin Hearnisa, Hearnisa Helena, Shifa Hidayah, M. Fariq Hizir Sofyan Husaini Husen, La Ode Ibrahim, Muh. Rayes Idawati, Nora Idham Halid Idul Adnan Iistika, Iistika Ikha Safitri Irfana Diah Faryuni Irfandi Irfandi, Irfandi Irmayanti Irmayanti, Irmayanti Irwan Budiman Irwan Nurdiansyah, Sy. ISLAMIYAH, NUR Isnandar Isrori, Indah Nahdiat jafar, muhammad idris Jamal Aswijar Joko Sampurno Jumadi Mabe Parenreng Jumarang, Muh Ishak JUMARDI Junaidi Junaidi Junaidi Kamal, Saiful Karmala, Karmala Kasmawan, Kasmawan Keumala, Cut Ratna Khairul, Moh Khofifah, A Sri Kholik Prasojo Khotimah, Yulia Azmi Khulaikah, Asnah Zul Komara, Osfir Candikia Rara Kruba, Rumaisa Kurniawan, Moh Rizky Kushadiwijayanto, Arie Antasari Kushadiwiojayanto, Arie Antasari 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 Mahmuddin Marbun Maimun Maimun Maisa Maisa, Maisa Majid , Abd Majid, Abd. Mansyur Mansyur Mardalena, Selvi Mardiana Mardiana Marlinda Marlinda Martunis - Marwan, T Masdar Djamaluddin Masrukhi Masrukhi Massuro, Lusyndatul MAULA, PUTRINDA INAYATUL Maulana, Agung Lan Maulani Maulani, Maulani Mawaddah, Siti Afifah Md. Hossain Khan, Abu Abdulla Al-Mamun Mega Nurhanisa Miftahul Jannah Miharja, Muhammad Hidayat Jaya Minsas, Sukal Mirna Mirna Mislaini Mislaini Mohammad Irfan Farraz Haecal Muh. Ishak Jumarang Muhammad Alkaff Muhammad Amin Muhammad Arif Muhammad Fauzi Muhammad Idris Muhammad Ilham Muhammad Itqan Mazdadi Muhammad Jabal Nur, Muhammad Jabal Muhammad Mursyidan Amini Muhammad Raudhi Azmi Muhammad Reza Faisal, Muhammad Reza Muhammad Riza Pahlevi Muhammad Zuhdi Muhardi Muhardi Muhardi Muin, Nurmiah Mujahidah Mujahidah Mujibul Ikhsan Mulkan, Andi Mulyadi Mulyadi Munandar, Tri Imam Musldalifah, Andi Muslimin, Abdul Azis Mustafa, Linda Kurnia Muttaqin Mustari , Andi Muzdalifa, Eccy Sitti N. Nazaruddin Nasruddin Nasruddin Nazaruddin, Nazaruddin Nur Afnih, Dwi Nuraini - - nuramalia, Tri Nurcahyati, Ica Nurdiansyah Nurdiansyah Nurdiansyah, Syarif Irwan Nurdin Nurdin Nurfadillah Nurfadillah Nurfatimah Sugrah Nurhalizah, Siti Nurhasanah Nurhasanah Nurinsan , Muh. Rifky NURLIANA NURLIANA Nurmawaddah , Nurmawaddah Nurmiani, Nurmiani Nurul Fuadi Nurul Islam Nuzulul, Ririn Chintia Okto Ivansyah Okviani, Nadya Padlurrahman, Padlurrahman Patola, Basri Perdana, Radhitya Perdhana, Radhitya Prasetya, Irvan Nur Pratama, Farhan Pratiwi, Elok Surya Pratiwi, Nabella Dwi Prayitno, Dwi Imam prayoga, Akbar Pristi, Eka Destriyanto Purnomowati, RR Ratnasari Dyah Putra, Andi Asril Mandala Putri, Adelia Kurnia Putri, Andini Aurelia Putri, Resky Amalia Putri, Ulayya Putri, Wanda Muliandira Rabiah, Sitti Raden Mohamad Herdian Bhakti Radityo Adi Nugroho Rahim, Rahim Rahman , Abdul Rahmat Rahmat Rahmi Dewanti Palangkey Rajai, Afdhalul Ramadansyah, Agung Ramadeska, Siti Ramadhan, Aldy Ramadhan, Maidy Ramadhan, Rafsanjani Ramli, Ahmad Rasmi Rasmi, Rasmi 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 Rohmah, Nanda Dwi Rohman Rohman Rohman, Hizqil Fadl Rosmalah Rosmalah, Rosmalah Rozanna Dewi Rozaq, Hasri Akbar Awal Rudi, David Rudy Herteno Rukayah Rukayah Rukhayati, Rukhayati Ruslan Ruslan Rusliana, Iu S.J Sofiana, Mega Sabir, Achmad Safa, Nur Safitri, Desti Suci Saharuddin, Yusliani Sahdan, Putri Said, Rusli Saleh, Ramlah Salsabila Nurul Imam, Jahira Salsabila, Anisa Samsuria, Samsuria Sandi, Dala Novika Saputra, Irka Saputro, Setyo Wahyu Saragih, Triando Hamonangan Sasmita, Novi Reandy Satriani Dh, Satriani Dh Satriani Satriani satriani, DH, satriani, DH Sel, Selvi Seppa, Yusi Irensi Shamim Al Mamun, Shamim Al Siti Suwadah Rimang, Siti Suwadah Sitti Jauhar Sitti Jauhar, Sitti Solikhun Solikhun, Solikhun Suara, M. Teguh Jaka Satya Samudra Jati Subarsyah Subarsyah Subhan Subhan Subhan Subhan Sudarto Sudarto Sudirman Sudirman Sudirman Sudirman, Sudriman Suhartono Sujarwan, Fahrul Sukarsih Sukarsih, Sukarsih Sulhatun Sulhatun Sulistina, Sulistina surayah, surayah Sutardi, Edi Syaadah, Himatus Syahrial Ayub, Syahrial 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 Tonengan, Margaretha Trisnadi, Yogi Septia Ulpa, Mirnawati Ulya, Azizatul Usman, Harlina Utami, Reksi Wahyu Hidayat M Wahyudi AR, Nirwan Wahyuni , Maya Sari Warsidah, Warsidah Wasik, Abdul Widiantoro, Aldy Wiguna , Anggri Sartika Windiahsari, Windiahsari Wulandari, elysa Yahya Yahya Yanny, Yanny Yarmaliza YILDIZ, Oktay Yoga Satria Putra Yudistira, Saptanadi Yuris Sutanto Yusuf Arief Nurrahman Zahirah, Putri Zahriah, Zahriah Zelfia Zulfian Zulfian Zulfikri Zulfikri, Zulfikri Zulnazri, Z `B Aritonang, Anthoni