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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 EMT KITA 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 JURNAL TEKNOLOGI INFORMASI TAPAK (Teknologi Aplikasi Konstruksi) : Jurnal Program Studi Teknik Sipil 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 REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Masyarakat Khatulistiwa Reswara: Jurnal Pengabdian Kepada Masyarakat 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 Conten : Computer and Network Technology 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 International Journal of Science and Environment 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`
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Penerapan Sentimen Analisis Dengan Algoritma SVM Dalam Tanggapan Netizen Terhadap Berita Resesi 2023 Mulyana, Dadang Iskandar; Lutfianti, Nesti
SISFOTENIKA Vol 13, No 1 (2023): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v13i1.1339

Abstract

Saat ini banyak negara yang sedang memperbincangkan kemungkinan terjadinya resesi di negaranya, Indonesia termasuk diantaranya. Sinyal terjadinya kemungkinan resesi dapat terlihat dari mulai melemahnya aktifitas ekonomi sektor riil pada negara tersebut.  Dengan adanya isu berita tersebut, menuai banyak pendapat dan opini dari netizen melalui paltform media sosial twitter, mereka saling berkomentar terhadap adanya isu berita resesi 2023. Tujuan dari penelitian analisis sentimen ini adalah untuk memahami dan mengetahui opini masyarakat atas isu berita resesi pada 2023 pada media sosial twitter apakah opini tersebut masuk dalam kelas sentimen positif atau kelas sentimen negatif serta mengetahui hasil akurasi persentasi dari setiap kelas. Pengujian dilakukan menggunakan model klasifikasi support vector machine (SVM) dan beberapa metode seperti data crawling, pre-processing, dan pembobotan kata. Berdasarkan hasil pengujian model didapatkan hasil akurasi 98,67% nilai Recall Positif sebesar 99.33%, nilai Recall Negatif sebesar 98.00%, nilai Precision Positif sebesar 98.03% dan nilai Precision Negatif sebesar 99.32%. Data latih sebanyak 300 data sebanyak 149 data terprediksi Positif dan 1 data terprediksi Negatif. Untuk hasil prediksi sentiment negative terdapat 147 data dan 3 data terprediksi positif. Dari proses sentimen analisis dengan 667 data uji, dihasilkan prediksi sebanyak 373 Sentimen Positif dan 294 Sentimen Negatif.
Implementasi Metode SAW Dalam Menentukan Supplier Terbaik Pada CV. Bina Usaha Mandiri Putra, Adhy Hantar; Sarimole, Francis Matheus; Iskandar, Dadang; Arinal, Veri
JURNAL TEKNOLOGI INFORMASI Vol 8, No 1 (2022): Jurnal Teknologi Informasi
Publisher : Universitas Respati Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/jti.v8i1.1616

Abstract

Pemilihan.supplier.merupakan.salah.satu.hal.yang penting.dalam aktivitas.pembelian.bagi.perusahaan,.di mana aktivitas pembelian merupakan aktivitasyang memiliki nilai penting bagi perusahaan karena pembelian komponen,.bahan.baku,.dan.persediaan.merepresentasikan.porsi.yang.cukup.besar.pada produk jadinya..Dengan mengetahui urutan prioritas faktor faktor yang mempengaruhi pemilihan supplier terbaik,menerapkan metode.SAW untuk.mendapatkan.supplier.pemasok.terbaik di CV.Bina.Usaha.Mandiri.Metode.Simple Additive Weigthing disebut sebagai.sebuah.metode.penjumlahan.yang.terbobot..Pada.dasarnya.metode.SAW.ini.merupakan.metode.yang bertujuan untuk melakukan pencarian penjumlahan terbobot dari kinerja yang terdapat perangkingan pada alternatif di semua.atributnya. Metode.SAW.merekomendasikan creator dari keputusan dapat menentukan bobot untuk setiap atribut. Aplikasi Sistem Pendukung Keputusan Untuk Menentukan Pemilihan supplier terbaik berbasis web berhasil dibangun.sesuai.dengan.rancangan/ desainnya.Aplikasi Sistem Pendukung Keputusan Untuk Menentukan Pemilihan supplier.terbaik.dapat.digunakan.oleh.CV. Bina.Usaha.Mandiri.untuk.pemilihan supplier terbaik. 
PENERAPAN METODE NEURAL NETWORK DENGAN STRUKTUR BACKPROPAGATION UNTUK MEMPREDIKSI KEBUTUHAN STOK PADA TOKO UMKM PERLENGKAPAN BAYI BABYQU Mulyana, Dadang Iskandar; YkhSanur; FikriYadi; Sahroni; Sumarsono, Agus Sigit
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.131

Abstract

At this time Machine Learning especially Deep Learning is developing very quickly in any field, especially in the fields of business, transactions, stock predictions, sales, and stocks and the like. Machine Learning has become a mainstay for facilitating and helping work. At the BabyQu store, the decisions used to carry out stock inventory still use the manual method, and there are several problems that arise including the occurrence of excess stock which makes other storage areas used for excess stock, especially if there are products that have an expiration date, and if there is a shortage of stock, problems will occur that will make consumers who need products or goods go to other places and several other problems that will arise which will cause losses to BabyQu stores, it is necessary to create a system or software that aims to assist BabyQu stores in forecasting stock availability product to overcomesome of these problems. This research was made using the Artificial Neural Network (ANN) model design and method using Backpropagation as the algorithm because this algorithm can reduce the percentage of errors. The results we got in this study using the 3-3-1 model obtained an accuracy rate of 85.72%, using 550 iterations of epochs, and taking approximately 11.1 seconds.
IMPLEMENTASI EXPERT ADVISOR UNTUK TRADING OTOMATIS FOREX MENGGUNAKAN INDIKATOR RSI DAN MA DENGAN METODE MARTINGALE DI PLATFORM METATRADER 4 Riswan, Adi; Mulyana, Dadang Iskandar
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.324

Abstract

Among the many digital businesses, forex trading is one of them. To trade forex, various types of software are used which are tools for traders, such as Metatrader 4. The core business of forex trading is to buy or sell consistently to trade forex, making a profit. In order to get the desired profit, it is important to adjust the forecast towards a growing market. Therefore, we need the right forex indicators to predict prices that are not wrong. However, traders who follow predictive indicators signals often fail to execute trades on time and therefore are unable to make consistent profits. The solution for traders to find timely trading opportunities based on indicators is to create an automated forex trading system or Expert Advisor. Expert Advisor (EA) is a program/system that has the ability to appear in the terminal on the instructions of a trader without direct involvement. All tasks that the Expert Advisor performs automatically. Expert Advisors can work automatically without the need to monitor price movements for 24 hours. EA is designed to analyze the market based on 2 indicators RSI (Relative Strength Index) and MA (Moving Average) as a reference for prices that will occur and also as a reference for trading using the martingale method.
PENERAPAN FACE RECOGNITION DENGAN ALGORITMA VIOLA JONES DALAM SISTEM PRESENSI KEHADIRAN SISWA DAN GURU PADA SEKOLAH IDN BOARDING SCHOOL JONGGOL Mulyana, Dadang Iskandar; Edi
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.398

Abstract

The Viola-Jones algorithm is one algorithm that is often used to detect faces. The human face recognition system is an important technology that functions as a security system, control system, and others. This is in accordance with the research objectives, namely to determine the application of the Viola-Jones algorithm in detecting the faces of students and teachers at SMK IDN Boarding School. This research aims to develop a student and teacher attendance system at IDN Boarding School Jonggol using face recognition technology with the Viola-Jones algorithm. The developed attendance system aims to increase the effectiveness and efficiency in managing the attendance of students and teachers. Then identify attendance by comparing face images registered in the system database. The application used by the face recognition program is PyCharm Community 2023 Version 1.4 with the macOS operating system. The test used various expressions totaling 200 images of 20 people. The percentage of successful face recognition process is 95%. Some factors that affect the success of recognition are lighting, face distance and face position.
IMPLEMENTASI ITILV4 FRAMEWORK IT ASSET MANAGEMENT PRACTICE PADA PT. INTEGRASI DATA NUSANTARA Pratama, Ferry Fajar; Mulyana, Dadang Iskandar
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.399

Abstract

Asset management is an important process that must be carried out by a company in managing its assets effectively and efficiently. PT. Integrasi Data Nusantara is a company that requires good asset management in carrying out its business operations. Therefore, the authors conducted research on the implementation of asset management practices at PT. Integrasi Data Nusantara using the ITILv4 framework. This study aims to identify the steps that must be taken in implementing asset management practices at PT. Integrasi Data Nusantara using the ITILv4 framework and providing recommendations regarding improvements that can be made. This study uses a qualitative descriptive method by conducting interviews with several respondents who are involved in the implementation of asset management practices at PT. Integrasi Data Nusantara. The author then makes a GAP analysis which will be used as a reference for the implementation of ITILv4 IT Asset Management practices. Based on the results of the questionnaire that has been carried out, the researcher found that the implementation that has been carried out has produced positive results for IT asset management at PT. IDN. This is shown by the results of a survey using a Likert scale which has an average value of 4 on a Likert scale of 1-5.
OPTIMASI KLASIFIKASI DETEKSI SENJATA API PADA ANIMASI BLACK LAGOON DENGAN ALGORITMA DEEPSORT DAN KALMAN FILTER Mulyana, Dadang Iskandar; Sumarsono, Agus Sigit
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.424

Abstract

As technology develops, especially in the field of artificial intelligence, many new systems and programs are created with artificial intelligence, one of which is the field of computer vision, namely the detection of objects ranging from transportation, humans, masks, animals, and even firearms detection systems. However, this system still has deficiencies in the level of accuracy when complex conditions such as lighting and others. Currently firearms detection systems use datasets in the form of photos of real weapons, rarely or even no one uses other datasets such as games or animations to determine the performance of the detection system. This study aims to determine the performance of the firearms detection and classification system by experimenting with objects from an animation with a public dataset from the website www.imfdb.org/Black_Lagoon as well as several scenes from other animations and also an animation entitled Black Lagoon, then optimization is carried out.with the DeepSORT algorithm and Kalman Filter assisted by the YOLOv3 detection system, several percentage values were obtained such as a mAP value of 82.13%, 81.19% precision, and 78.53% recall in the training dataset using 100 iterations of epochs, and in the training model got a loss value of 8.27% and 6.67% for the val_loss value using 50 iterations of epochs.
Penerapan Data Mining untuk Menentukan Produk Terlaris pada PT Joynare Mitra Teknologi menggunakan Metode Naive Bayes Mulyana, Dadang Iskandar; Fadhil, Ali Muhammad
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 2 (2024): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i2.638

Abstract

The research applies the Naive Bayes method to determine the best-selling products at PT Joynare Mitra Teknologi. The contribution of this research is to provide a reference for other companies interested in using similar techniques to analyze their product data. Testing was carried out by processing data using Microsoft Excel and RapidMiner, with training and testing data. The test results show that the Naive Bayes method can classify best-selling products with a high level of accuracy, reaching 87.00%. Apart from that, the resulting precision reached 72.41%, and recall was 80.77%. The best-selling products in hardware sales such as motherboards, CPUs, RAM, hard disks, SSD, and printers can be identified through data analysis. The conclusion from the research is that the Naive Bayes method is very appropriate to use to optimize sales strategies for hardware products based on customer preferences.
Optimasi Pengukuran Dinamis dari Visualisasi Model Ruangan 3D Menggunakan Sensor LiDAR dan Framework RoomPlan Mulyana, Dadang Iskandar; Pratiwi, Tiyas Aria
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.950

Abstract

Utilizing limited space to be more functional and aesthetic, such as adding furniture or using it as gardening space, can be achieved through effective room mapping. However, manual mapping methods have limitations such as inaccurate measurements, time efficiency, and also lack of room visualization. In this modern era, robotics technology has been widely applied in everyday life, one of which is the use of LiDAR sensors for room mapping. This paper discusses a room mapping system using a mobile application that utilizes LiDAR sensors. The mapping process is carried out by scanning the area to be mapped and rotating the area 360 degrees. The result of this mapping is a scanned 3D model of the room, which allows measurements from every side of the room. Research shows that the mapping results from the software created are similar in shape to actual field conditions. In addition, the measurement accuracy only has a small difference of 0.2%. It is hoped that this research can make it easier for humans to map rooms and make better use of limited space.
Optimasi Deteksi Tumor Otak Menggunakan Adaptive Multiscale Retinex dan YOLOV10 Pada Citra Digital Mulyana, Dadang Iskandar; Alifah, Rifdah
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.958

Abstract

The incidence of brain tumors in Indonesia continues to rise annually, affecting both adults and children. Therefore, an effective detection system is required to differentiate MRI images showing the presence of brain tumors from those that do not. This distinction is crucial in the analysis and diagnosis of medical images. This study aims to optimize brain tumor detection in digital images by combining the Adaptive Multiscale Retinex (AMSR) method with the YOLOv10 algorithm. AMSR enhances the quality and contrast of brain images, making critical details more visible. The method adjusts the scale and intensity of image lighting to address uneven illumination and improve the visibility of brain structures. YOLOv10 is recognized for its speed and accuracy in real-time object detection. This algorithm employs deep learning techniques to identify and classify objects with high precision on enhanced brain image datasets. The model's performance was evaluated using metrics such as accuracy, sensitivity, specificity, and computation time. Results indicate that the combination of AMSR and YOLOv10 improves the accuracy and efficiency of brain tumor detection compared to conventional methods. The YOLOv10 model achieved a detection accuracy of 92%. This study provides significant contributions to early brain tumor detection technology, with important implications for the healthcare sector.
Co-Authors Abdillah, Gipari Pradina Abdul Hafidz Abdul Shomad Abdullah Al Faruq Adawiyah, Rizky Adi Riswan Adicandra, M. Dicky Afriandika, Riko 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 Alannuari, Fiky Albahy, Abdurrahman A. Aldi Sitohang Alfiani Damaiyanti AlfianiDamaiyanti Ali Akbar Ali Akbar Ali Akbar Ali Muhammad Faadhil Ali Yafi Zulkarnain Alifah, Rifdah Aloisius Awang Hariman Amat Solihin Amrullah, Aziz Septian 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 Sofyan 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 Awaludin Awaludin, Awaludin Ayu Saputry, Yulia Yanti Aziz Septian Amrullah Aziz Septian Amrullah Azizah Mahary Azwar Anas Manurung Azzahra, Salma Latifa B, Muhamad Hasbi Toharudin Bahari, Muhamad Hasbi Toharudin Banase, Samuel Figo Bashir, Ade Abdul Bela Dina Betty Yel, Mesra 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 Gunawan Dedi Iskandar 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 Fadiliah, M. Ilyan Fadillah, Fauzan Fadlan, Muhammad Fahmi Nurul Huda Faisal Akbar Faisal Akbar Faisal Akbar Nasution Faizal Joko Perwitosari Fajar, Andriyana Fallah, Ahlan Nur Farhan, Mohammad Farida Indah Riantini Farisyihab, Joe Renaldy Fatchur Rochman Fatonah Fauzan Azima FauzI Ramdhani Feni Citra Dewi Feri Akbarulloh Fernanda Adhipramana Ferry Fajar Pratama FikriYadi FikriYadi Fiktor Kurnia Tofano Fiktor Kurnia Tofano Fiky Alannuari Firas, C.Afif Firhan Ali Franido, Richard Fransiscus Rolanda Malau Fransiscus Rolanda Malau Galih Satria Yacob Genisa, Lenggo Ghofurur Nawangsah Gilang Ramadhan Gilang Ramadhan Gipari Pradina Abdillah Gusniar Alfian Noor Gusniar Alfian Noor Hakim, Muhammad Ikhsan 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 Indra Satria Indra Satria Irbah Baihaqi Irbah Baihaqi Irfan Maulana Irfan Maulana, Irfan Istianah Istianah Istianah Jaya, Ari Surya Jaya, Rudi Tri Jodi Juliansah Joharuddin Zakaria, M Ohan Julinar Sari Hutagalung Kastum Kastum Kastum Kastum, Kastum Kemal Adnan Khairullah, Muhammad Daffa 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 Matheos Sarimolle, Frencis Maulana Putra Hertaryawan, Ryfan Melani Afsari Miftahul Huda Miftahul Ulum Miftahul Ulum Milli Ruswandi Mirsandi Muhamad Fikri Nugraha Muhamad Ikbal Muhamad Zaeni Nadip Muhammad Abdul Aziz Abyan Muhammad Adri Ramadhan Muhammad Adri Ramadhan Muhammad Arfan Irsyad Rowis Muhammad Arfan Irsyad Rowis Muhammad Arib Umar Sadid Muhammad Azhari Muhammad Dzaky Rahmanto Muhammad Dzaky Rahmanto Muhammad Faizal Lazuardi Muhammad Faizal Lazuardi Muhammad Fakhri Pratama Muhammad Furqan Muhammad Hafiz Siregar Muhammad Jauhar Ruliansyah Muhammad Khalid Muhammad Rifqi Syatria Muhammad Rival Muhammad Rizki Muhammad Syahrul Fattah Ramadhan Muhammad Umar Hamidi Yusuf Muhammad Zaenuddin Muhammad Zikri Muhammad Zikri Muklas Adik Putra Muklas Adik Putra Mutia Aulia Mutia Ramadhan Naini Saadah Naini Sa’adah Nana NANA NANA Nana, Nana Nandy Dinilhaq Naufal Aziz Nauval, Kurniawan Irfan Nesti Lutfianti Nimas Galuh Pramuditasari Noor, Gusniar Alfian 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, Adhy Hantar Putra, Guruh Taruno Putra, I Komang Dewa Ananda 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 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 Hidayat, Riza Rizky Adawiyah Rodhi Shafia Zaidan Rofik, M Ainur Roring, Calvin Bill Rowis, Muhammad Arfan Irsyad Runi Amanda Amalia Ruswandi, Milli S, Fahmi Chairulloh Widia Sadid, Muhammad Arib Umar Sadid, Muhammad Umar Arib Sahroni sahroni Sahrul Hidayat Saifullah Ahmad Yasin Samuel Figo Banase Santi Ferawati Saputra, Mochammed Erryandra Saputri, Rosalina Saragih, Silvanus Sarimole, Francis Matheus Sarimole, Frencis Matheos Sartika Mala Seli Amelia Senika, Anis Sentosa, Edwin Septiani, Novi Setiawan, Itca Bagus Setya Putra Adenugraha Shakila Shila Wati Silfia, Titi Simanungkalit, Giraldi Freddy 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 SOPAN ADRIANTO 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 Sutisna Sutisna Sutisna Suwandi Suwandi Syatria, Muhammad Rifqi Tarunajaya, Stefany Titi Silfia Tri Wahyuni Tristhanaya, Angga Tundo Tundo, Tundo Untung Wahyudi Vara Maulidyah Hidayah Veti Novitasari 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 Yuliana, Dita Yunita T Lubis Yusril Nurhadi AS Zaidan, Rodhi Shafia Zaky Rahman Hakim Zamzami, Agung Rizki Zidane, Ahmad Syahran Zoharuddin Zakaria, M Ohan