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All Journal Teknika Jupiter Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) JUITA : Jurnal Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika SemanTIK : Teknik Informasi QALAMUNA: Jurnal Pendidikan, Sosial, dan Agama SISFOTENIKA Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial JURNAL MEDIA INFORMATIKA BUDIDARMA Informatics for Educators and Professional : Journal of Informatics SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Persada Husada Indonesia INTECOMS: Journal of Information Technology and Computer Science JSiI (Jurnal Sistem Informasi) JURNAL PENDIDIKAN TAMBUSAI Journal on Education Informasi Interaktif Progresif: Jurnal Ilmiah Komputer Jusikom: Jurnal Sistem Informasi Ilmu Komputer TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Pendidikan dan Konseling Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Sistem informasi dan informatika (SIMIKA) Journal of Applied Engineering and Technological Science (JAETS) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Elektro dan Komputasi (ELKOM) JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Masyarakat Khatulistiwa Just TI (Jurnal Sains Terapan Teknologi Informasi) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Nasional (JPN) Indonesia SENADA : Semangat Nasional Dalam MengabdI Jurnal Cahaya Mandalika Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Sosial dan Teknologi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Tika Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) JUTECH : Journal Education and Technology Jurnal Widya AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan Sains dan Komputer International Journal Software Engineering and Computer Science (IJSECS) Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science DEVOTE: Jurnal Pengabdian Masyarakat Global Cross-border CKI On Spot SmartComp SENADA : Semangat Nasional Dalam Mengabdi Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia Journal Innovations Computer Science Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Informasi interaktif : jurnal informatika dan teknologi informasi
Dadang Iskandar Mulyana`
ST Ilmu Komputer Cipta Karya Informatika
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Penerapan Data Mining Dalam Pemilihan Produk Unggulan dengan Metode Algoritma K-Means Dan K-Medoids Reza Gustrianda; Dadang Iskandar Mulyana
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3294

Abstract

As a business company, PT. XYZ Indonesia is committed to always make improvements to all aspects such as, in terms of determining superior products. To be able to do this, it requires a sufficient source of information to be able to analyze what products are superior or in high demand and what products are less desirable. To find out what products enter the superior product cluster, then researchers do product grouping using the clustering method. In the clustering method there are two types of cluster analysis that have interrelated algorithms, namely k-means and k-medoids. The result of research already conducted that from the value of Davies Bouldin to the k-means algorithm is -0.430 and from the value of Davies Bouldin k-medoids is -1,392 which means that the Davies Bouldin value for the k-medoids method has the smallest Davies Bouldin value so the grouping results using the k-means method are more appropriately used on the issue of superior product selection.
Klasifikasi Dehidrasi Tubuh Manusia Berdasarkan Citra RGB Pada Warna Urine Menggunakan Metode K-Nearest Neighbor Putri Nugraheni Utami; Veri Arinal; Dadang Iskandar Mulyana
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3290

Abstract

Dehydration is a condition in the body where the amount of fluid that comes out is more than the amount of fluid that enters so that the body experiences a lack of fluids. The simplest way to find out if you are dehydrated is to check the color and amount of urine. If it is very dark and there is little water, then the body needs a lot of air. If the urine is clear, it means the body is in normal air balance. The level of dehydration between each person is different, so we need a system that can classify the level of dehydration objectively through urine, so that it can facilitate the process of early detection and diagnosis before being enforced. Based on the research that has been done, it is found that the Matrix Laboratory (Matlab) can classify dehydration in the human body, by utilizing urine images through several processes, namely preprocessing, segmentation, feature extraction of Red Green Blue and then the K-Nearest Neighbor method to classify a person's level of dehydration. From 30 urine image training data and 15 urine image test data with 3 classes of urine color levels, namely not dehydrated, mild dehydration and severe dehydration, the results obtained from the accuracy of the dehydration level classification using the K-Nearest Neighbor method of 93.3% obtained from 14 test data with accurate classification, and 1 test data with inaccurate classification.
Klasifikasi Kematangan Buah Pisang Ambon Menggunakan Metode KNN dan PCA Berdasarkan Citra RGB dan HSV Setya Putra Adenugraha; Veri Arinal; Dadang Iskandar Mulyana
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i1.3287

Abstract

Banana fruit or in scientific language is called Musa Paradisiaca. One type of banana that is easy to grow and develop in the tropics of Indonesia is the Cavendish Banana or commonly known as the Ambon Banana. The quality of Ambon bananas must be maintained because Ambon bananas grown in Indonesia also supply the needs of foreign markets. The quality of bananas is very influential from the time of harvesting, the level of maturity of bananas is related to marketing reach. Basically, farmers use manual methods in determining the maturity level of Ambon bananas, so there are several factors that can make the classification results less accurate. Based on these problems, a system was made to classify the maturity level of Ambon bananas by utilizing the RGB and HSV color features using the K-Nearest Neighbor (KNN) method. Classification uses image processing by utilizing matlab software for making a classification system with 3 classes, namely raw, ripe, and overcooked. The results of this study are expected to help Ambon banana farmers in classifying the maturity level of Ambon bananas. In this study using data obtained from the place of observation. The data used in this study were 41 data which were divided into 30 training data and 11 test data. The data is classified using the KNN method by measuring the distance to the nearest neighbor with a value of K=5. From this study, the results obtained accuracy of 90.9% with the results of the classification of test data as many as 10 data received accurate classification results and 1 data received inaccurate classification results.
Analisis Perbandingan Algoritma Svm Dan Knn Untuk Klasifikasi Anime Bergenre Drama Vika Vitaloka Pramansah; Dadang Iskandar Mulyana; Titi Silfia
Informasi Interaktif Vol 7, No 2 (2022): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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

Abstract

There are many genres of anime such as drama, action, romance, comedy, and so on. However, because there are so many anime genres, it is quite difficult for viewers to find anime whose genre they like, such as the drama genre which tells about everyday human life which is quite light in nature. From these problems, a classification method is needed to classify anime that belongs to the drama genre. Classification has several algorithms including Support Vector Machine (SVM) and K-Nearest Neighbors (KNN). SVM and KNN algorithms have been widely used and have a good level of accuracy. In this study, a comparative analysis will be carried out between the two algorithms, the dataset used is 12,294 data and 2 genre classes, namely drama and non-drama, the attribute of the anime dataset is 7. The results obtained in this study indicate that the K-Nearest Neighbors Algorithm (KNN) ) get a training accuracy value of 100% and a test accuracy value of 84%. And also the Support Vector Machine (SVM) algorithm gets a training accuracy value of 83% and a test accuracy value of 82%. The results of the accuracy values of the two algorithms indicate that the K-Nearest Neighbors (KNN) algorithm has a better testing accuracy than the Support Vector Machine (SVM) with a fairly thin difference between the two algorithms.
Optimasi Deteksi Penyakit Kulit Menggunakan Metode Support Vector Machine (SVM) dan Gray Level Co-occurrence Matrix (GLCM) Rizky Adawiyah; Dadang Iskandar Mulyana
INFORMASI (Jurnal Informatika dan Sistem Informasi) Vol 14 No 1 (2022): INFORMASI (Jurnal Informatika dan Sistem Informasi)
Publisher : LPPM STMIK Indonesia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37424/informasi.v14i1.138

Abstract

Penyakit kulit merupakan kelainan pada kulit yang disebabkan karena adanya jamur, kuman, parasit, virus maupun infeksi yang dapat menyerang siapa saja dan kapan saja. Penyakit ini dapat menyerang di seluruh tubuh atau sebagian tubuh tertentu yang dapat membahayakan kesehatan penderita jika tidak ada tindakan serius yang dilakukan. Berdasarkan data riset kesehatan di Indonesia, penyakit kulit merupakan penyakit yang jumlah pasien nya terhitung banyak. Hal ini dikarenakan kurangnya pengetahuan tentang penyakit ini dan cara pencegahan nya serta ketidakpedulian masyarakat terhadap lingkungan sekitar sehingga menyebabkan penyakit kulit bisa menular dengan sangat cepat. Tujuan dari penelitian ini yaitu dapat meningkatkan kepedulian masyarakat untuk bisa mendeteksi sejak dini penyakit kulit yang diderita. Oleh karena itu dilakukan suatu penelitian yang bisa memudahkan pihak medis dan juga masyarakat untuk bisa mendeteksi penyakit kulit secara dini agar penanganan semakin cepat dan bisa memperkecil terjadinya penyakit yang lebih berbahaya. Pada penelitian ini menggunakan metode klasifikasi Support Vector Machine (SVM) dan pembentukan matriks Gray Level Co-Occurrence Matrix (GLCM). Hasil penelitian menunjukkan bahawa sistem deteksi penyakit kulit ini dapat menampilkan hasil jenis penyakit kulit dan berdasarkan hasil pengujian dari beberapa sample data bahwa nilai akurasi terbaik yaitu sebesar 90% dari hasil klasifikasi deteksi penyakit kulit ini.
Implementasi Aplikasi Pelayanan Warga Berbasis Android Berbasis User Centered Design Rasiban Rasiban; Dadang Iskandar Mulyana; Sri Lestari; Muhammad Fakhri Pratama; Yansen Yansen
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 3 (2022): Maret 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i3.3912

Abstract

Technological developments in the modern era as it is today, there have been many innovations from scientists, communities and students to facilitate human activities. The results of this innovation are expected to help people's daily activities. However, there have not been many innovations that can facilitate human work, one of which is in the field of citizen services, such as the area of Rt 007 Rw 014 Kelurahan Pgilan, East Jakarta, which is currently trying to develop into a more developed and better area. The analytical method and technique used in this research is a SWOT analysis, by looking at the company's business needs and objectives. So the researcher aims to develop an Android-based application for the citizen service information system, because it will be very helpful in the citizen data storage system, as well as other citizen services directly in the citizen service application. And it can be directly accessed by the head of Rt 007. In making this Android-based application, the Java programming language is used as the Sharedpreferences database. With this citizen service application system, it is hoped that it will make it easier for the people of Rt 007 who are involved in data management and the head of Rt 007 or other management can monitor the application of citizen services
Optimation Image Classification Pada Ikan Hiu Dengan Metode Convolutional Neural Network Dan Data Augmentasi Ahmad Bustomi Zuhri; Dadang Iskandar Maulana; Eka Satria Maheswara
Jurnal Tika Vol 7 No 1 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1201.814 KB) | DOI: 10.51179/tika.v7i1.993

Abstract

Sharks are cartilaginous fish that are widely hunted because they have high economic value. Overfishing and trade have resulted in this species being threatened with extinction and have been included in several categories of the IUCN Red List. Information on the types of sharks that landed in Sungailiat Bangka PPN is still very limited due to the difficulty of morphological identification, so it is necessary to identify them using molecular methods. Therefore, the researcher produced an image recognition program in sharks using the Convolutional Neural Network algorithm, which is a convolutional activity by combining several layers of preparation, by utilizing several components that move together and are motivated by a biological sensory system. The shark images used are basking, blacktip, blue, bull, hammerhead, lemon, mako, nurse, sand tiger, and thresher. The implementation of shark image recognition is carried out using 2 test models, namely the Sequential model and the VGG16 on top model running on the Google Collaboratory application, and Keras. The test data in this study were 1089 training data images and 1073 test data images which resulted in an evaluation value with an accuracy value of 86.58% and a loss value of 0.701 on the Sequential model and an accuracy value of 91.80% and a loss value of 0.0355 on the on top model. VGG16.
Perancangan Aplikasi Enkripsi & Deskripsi pada Dokumen Dengan Algoritma Triple DES Berbasis Web Muklas Adik Putra; Dadang Iskandar Mulyana; Runi Amanda Amalia; Mirsandi
Jurnal Pendidikan Sains dan Komputer Vol. 2 No. 01 (2022): Artikel Riset Periode Februari 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (793.94 KB) | DOI: 10.47709/jpsk.v2i01.1354

Abstract

Keamanan sangat perlu digunakan, karena data bersifat rahasia dan tidak bisa digunakan oleh pihak manapun kecuali pihak yang bersangkutan. Untuk itu, pengguna membutuhkan keamanan data dengan menggunakan kriptografi. Banyak sekali algoritma kriptografi modern yang termasuk ke dalam sistem kriptografi kunci simetri yaitu Triple-DES. Hal ini bertujuan untuk mengetahui perancangan atau desain aplikasi kriptografi pada dokumen berbasis web dengan menggunakan algoritma triple DES. Metode penelitian yang digunakan adalah metode pengumpulan data yang dimana menggunakan bahan jurnal sebagai bahan referensi,rancangan penelitian yang menggunakan gambar untuk menjelaskan bagaimana proses enkripsi dan deskripsi,rancangan aplikasi menggunakan Bahasa pemrograman yaitu PHP . Hasil penelitian menunjukkan adanya keberhasilan dalam mengamankan file dokumen pengarsipan.Dengan system keamanan dokumen berbasis web,dirancang sebuah system yang dapat melakukan proses keamanan data,pencarian,dan pengunduhan yang di proses menggunakan aplikasi berbasis web sehingga bisa dilakukan secara cepat dan efisien ,pada akhirnya bisa menghasilkan suatu system keamanan dengan tepat. Kata Kunci: Kriptografi, Triple DES, Keamanan, Dokumen,PHP,.  
Algoritma ADFGVX Product Transposition Cipher Pada Pengenkripsian Pesan Text Bela Dina; Dadang Iskandar Mulyana; Julinar Sari Hutagalung
Jurnal Pendidikan Sains dan Komputer Vol. 2 No. 01 (2022): Artikel Riset Periode Februari 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jpsk.v2i01.1378

Abstract

Keamanan informasi data digital menjadi hal yang penting dan sangat diperlukan untuk menjaga data yang penting dan rahasia. Salah satu solusi yang ditawarkan untuk mengamankan data dengan sebuah cara menyandikan data atau disebut juga dengan ciphering. Dalam kriptografi terdapat beberapa metode yang sangat penting dalam menjaga kerahasiaan suatu data yakni enkripsi dan dekripsi. Algoritma ADFGVX Product Cipher dibuat karena merupakan salah satu algoritma yang memiliki sandi morse yang jelas. Algoritma ini akan menciptakan fungsi enkripsi kompleks seperti cara menggabungkan beberapa operasi enkripsi dasar sederhana yang saling melengkapi sehingga melibatkan operasi bolak-balik yang berulang yaitu subtitusi dan permutasi. Algoritma Row Transposition dipilih karena cipher transposisi dimana plainteks dituliskan per kolom sesuai panjang kunci dan dibaca berdasarkan urutan indeks huruf tersebut per kolom.
Implementasi Mode Operasi Kombinasi Cipher Block Chaining dan Metode LSB-1 Pada Pengamanan Data text: indonesia Melani Afsari; Dadang Iskandar Mulyana; Alfiani Damaiyanti; Naini Sa’adah
Jurnal Pendidikan Sains dan Komputer Vol. 2 No. 01 (2022): Artikel Riset Periode Februari 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (731.316 KB) | DOI: 10.47709/jpsk.v2i01.1381

Abstract

Pengamanan data text diperlukan untuk menjaga informasi yang dirahasiakan agar tidak diketahui oleh orang lain kecuali orang yang diberihak untuk itu. Maka diperlukan pengaman data, salah satunya dengan mengkombinasikan Cipher Block Chaning (CBC) dan Metode Least Significant Bit (LSB-1) pada pengamanan data text. Cipher Block Chaning memiliki kecepatan dan efisiensi lebih tinggi dan dinilai lebih mudah diimplementasikan. Sedangkan metode Steganografi Least Significant Bit mampu bekerja secara sederhana namun sangat efektif dalam menyisipkan pesan tersembunyi. Namun, beberapa peneliti dapat menemukan kekurangan pada metode LSB. Oleh karna itu LSB harus dikembangkan lagi. Melalui kombinasi Cipher Block Chaning dan Least Significant Bit-Sobel telah terbukti serta berhasil merahasiakan pesan dengan baik dan menghasilkan steganografi yang berkualitas tinggi setelah dilakukan pengujian Peak Signal-to-Noise Ratio (PSNR) dan Mean Square Error (MSE). Proses hasil dari uji coba yang kami lakukan adalah Tahapan penelitian, Diagram Proses Kombinasi CBC dengan LSB-1, ubah karakter huruf menjadi biner, ubah angka menjadi biner, Proses Penukaran Bit Ke-7 (LSB-1) Citra Cover, biner hasil penggabungan antara Blok I Dan Blok II diubah menjadi sebuah kata, mengubah biner menjadi desimal, mengubah desimal menjadi huruf. Selain itu kami juga mebuat program sederhana yang dapat digunakan untuk melakukan proses enkripsi secara otomatis.
Co-Authors Abdillah, Gipari Pradina Abdul Hafidz Abdul Shomad Abyan, Muhammad Abdul Aziz Adawiyah, Rizky Adi Riswan Agung Pratama Agung Pratama Agung Rizki Zamzami Agung Saputra Agus Sigit Sumarsono Ahmad Bustomi Zuhari Ahmad Bustomi Zuhari Ahmad Bustomi Zuhri Ahmad Saepudin Ahmad Saepudin Ahmad Zulfikar Aidil Rizki Hidayat Aimar, Muqorrobin Aji Aji Dwi Prasetyo Aji Suswantoro Akbar, Yuma Akbarulloh, Feri Akhsani, Ziyat Akmal, Roid Adip Akmaludin Akmaludin Al Ammar, Muhammad Farros Al Faruq, Abdullah Alannuari, Fiky Albahy, Abdurrahman A. Aldi Sitohang Alfiani Damaiyanti AlfianiDamaiyanti Ali Akbar Ali Akbar Ali Muhammad Faadhil Ali Yafi Zulkarnain Alifah, Rifdah Aloisius Awang Hariman Amat Solihin Andi Anto Diarjo Andriyana Fajar Andy Manuel Prima Angga Tristhanaya Anggit Purnama Anggraeni, Eka Anisah Wulandari Apian Candra Aditya Ardana, Tegar Rizky Ardiyansyah, Ferry Ari Ramadhan Ari Surya Jaya Ari Surya Jaya Aribatullah Arief, Yoga Sofyan Arinal, Veri Aris Sufriman Arisenja, Ni Luh Bumi Arpinda Arpinda Asep Maulana Asep Ovid Afidin Asep Ovid Afidin Aswad, Hazrul Asyrofie, Maulana Azhar Atik Budi Paryanti Awaludin Awaludin Ayu Saputry, Yulia Yanti Aziz Septian Amrullah Aziz Septian Amrullah Aziz, Naufal Azzahra, Salma Latifa B, Muhamad Hasbi Toharudin Banase, Samuel Figo Bashir, Ade Abdul Bela Dina Betty Yel, Mesra Bintoro, Bayu C.Afif Firas Cahyana, Adella Fitriany Calvin Bill Roring Candra Milad Ridha Eislam Choirul Huda Debby Ramadhina Salsabilla Dedi Gunawan Dedi Iskandar Dedi Iskandar Deny Saputra Dewi Riyanti Wibowo Dewi Riyanti Wibowo Dheo Hanif Pristian Dhiva Andini Putri Alinur Diana Barsasella Dita Yuliana Donaldo, Evan Dwi Lestari Edi Edi Eka Anggraeni Eka Maheswara Eka Okta Putri Sulaiman Eka Okta Putri Sulaiman Eka Putri Aprillia Eka Satria Maheswara Eka Satria Maheswara Ependi, Soleh Erno Sumantri F, Joe Renaldy Fadhil Khanifan Achmad Fadhil, Ali Muhammad Fadillah, Fauzan Fadlan, Muhammad Fahmi Nurul Huda Faisal Akbar Faisal Akbar Faizal Joko Perwitosari Farida Indah Riantini Fatchur Rochman Fatonah FauzI Ramdhani Feni Citra Dewi Fernanda Adhipramana Ferry Fajar Pratama FikriYadi FikriYadi Fiktor Kurnia Tofano Firhan Ali Fransiscus Rolanda Malau Fransiscus Rolanda Malau Genisa, Lenggo Ghofurur Nawangsah Gilang Ramadhan Gusniar Alfian Noor Gusniar Alfian Noor Handrianus Saldu Herdiyansyah Hartanto Herdiyansyah herdi Hartanto Hermawan Susanto Hidayat, Aditya Zakaria Hidayat, Nurhikmah Hudhoifah, Maula Abi Hudzaifah, Salim Maula Ikha Novie Tri Lestari Ikha Novie Tri Lestari Ikhsan Ikhsan Ikhwanul Kurnia Rahman Ilham Wahyudi Imam Khoeri Imantara, Alaqsha Gilang Indah Rosmalina Irbah Baihaqi Irbah Baihaqi Irfan Maulana Irfan Maulana, Irfan Istianah Istianah Istianah Jaya, Rudi Tri Jodi Juliansah Joharuddin Zakaria, M Ohan Julinar Sari Hutagalung Kastum Kastum, Kastum Kemal Adnan Khanif, Abror Kolbia, Ummi Kurniawan Irfan Nauval Lerry Salasi Saptan Lintang Purnama Lintang Purnama Lorinda, Destiar Lubis, Yunita T Lutfianti, Nesti M Ainur Rofik M Ainur Rofik M Ilham Setya Aji M Ohan Joharuddin Zakaria M. Ohan Zakaria Mafazi, Luthfillah Maharanisa Maharanisa Maharanisa, Maharanisa Mainia Mayasari Marjuki Marjuki Marjuki Maulana Putra Hertaryawan, Ryfan Melani Afsari Miftahul Huda Miftahul Ulum Milli Ruswandi Mirsandi Muhamad Fikri Nugraha Muhamad Ikbal Muhamad Zaeni Nadip Muhammad Adri Ramadhan Muhammad Arfan Irsyad Rowis Muhammad Arfan Irsyad Rowis Muhammad Azhari Muhammad Dzaky Rahmanto Muhammad Dzaky Rahmanto Muhammad Faizal Lazuardi Muhammad Faizal Lazuardi Muhammad Fakhri Pratama Muhammad Furqan Muhammad Jauhar Ruliansyah Muhammad Khalid Muhammad Rizki Muhammad Syahrul Fattah Ramadhan Muhammad Zaenuddin Muhammad Zikri Muhammad Zikri Muklas Adik Putra Muklas Adik Putra Mutia Ramadhan Naini Saadah Naini Sa’adah Nana NANA NANA Nandy Dinilhaq Nesti Lutfianti Nimas Galuh Pramuditasari Notonegoro, Danendra Satriyohadi Noviyanti, Irma Nugroho, Kurniawan Setyo Nunung Parawati Nuradi, Fahmi Nurfaishal, Muhammad Dzaky Nurrohman, Awaludin Taufiq Oka Prasetiyo Okta Saputra Oky Tria Saputra Paramida, Feti Paryanti, Atik Budi Pramansah, Vika Vitaloka Pramuditasari, Nimas Galuh Pratama, Ferry Fajar Pratiwi, Tiyas Aria Pristian, Dheo Hanif Putra, Guruh Taruno Putra, Mohammad Royger Febriansyah Putra, Reyga Ferdiansyah Putri Amira Sumitro Putri Nugraheni Utami Putri, Atsilah Daini Putro, Faris Widianto Radikto, Radikto Raga Permana Rahmani, Husain Rahmanto, Muhammad Dzaky Raihan Putra M Rosidi Ramadan, Anggi Ramadhan, Muhammad Adri Rasiban Reyga Ferdiansyah Putra Reza Gustrianda Reza Wanandi Richard Franido Richardviki Beay Richardviki Beay Rifky Aldiansyah Riki Maulana Fauzi Riko Afriandika Riswan, Adi Rival, Muhammad Riza Hidayat, Riza Rizky Adawiyah Rofik, M Ainur Roring, Calvin Bill Rowis, Muhammad Arfan Irsyad Runi Amanda Amalia Sadid, Muhammad Arib Umar Sadid, Muhammad Umar Arib sahroni Sahroni Sahrul Hidayat Saifullah Ahmad Yasin Santi Ferawati Saputra, Mochammed Erryandra Saputri, Rosalina Saragih, Silvanus Sarimole, Frencis Matheos Sartika Mala Seli Amelia Senika, Anis Sentosa, Edwin Septiani, Novi Setiawan, Itca Bagus Setya Putra Adenugraha Shakila Shila Wati Silfia, Titi Siregar, Ikhsan Abror Siregar, Mora Hakim Siregar, Muhammad Hafiz Siti Nurhaliza Siti Raysyah Slamet Riyadi Sodik Sofia, Agiah Soleh Ependi Sony Agustian Syah SOPAN ADRIANTO Sri Lestari SRI LESTARI Sri Lestari Stefany Tarunajaya Stepanus, Stepanus Sugeng Sugeng Sugeng Sugeng Sugiyono Sugiyono Sumantri, Dyan Bagus Sumantri, Erno Sumarsono, Agus Sigit Sutisna Sutisna Sutisna Sutisna Sutisna Suwandi Syatria, Muhammad Rifqi Tarunajaya, Stefany Titi Silfia Tofano, Fiktor Kurnia Tri Wahyuni Tundo, Tundo Untung Wahyudi Vara Maulidyah Hidayah Vika Vitaloka Pramansah Wahyu Hidayat Wahyu Saputro Wahyu Saputro Wahyudi, Ahmad Arif Wicaksono, Bima Wieko Wieko Wulandari, Anisah Yacob, Galih Satria Yansen Yansen YkhSanur YkhSanur Yoni Maulana Yuliana Bachtiar Yunita T Lubis Yusril Nurhadi AS Zaidan, Rodhi Shafia Zaky Rahman Hakim Zamzami, Agung Rizki Zidane, Ahmad Syahran Zoharuddin Zakaria, M Ohan