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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Gramatika Jurnal Ilmiah KOMPUTASI JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Teknik Komputer AMIK BSI JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System JOURNAL OF APPLIED INFORMATICS AND COMPUTING PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Sebatik Journal of Information Technology and Computer Engineering Digital Zone: Jurnal Teknologi Informasi dan Komunikasi KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JURTEKSI INTEK: Informatika dan Teknologi Informasi Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal Teknologi Informasi dan Pendidikan Jurnal Elektronika Listrik dan Teknologi Informasi Terapan bit-Tech Systematics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sistim Informasi dan Teknologi Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Journal of Robotics and Control (JRC) JSR : Jaringan Sistem Informasi Robotik Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Infortech Community Development Journal: Jurnal Pengabdian Masyarakat JUKI : Jurnal Komputer dan Informatika Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Computer Science and Information Technology (CoSciTech) Journal of Computer Scine and Information Technology Bulletin of Computer Science Research Insearch: Information System Research Journal Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Gramatika: Jurnal Penelitian Pendidikan Bahasa dan Sastra Indonesia Journal of Materials Exploration and Findings Jurnal Komtekinfo Jurnal Sistim Informasi dan Teknologi INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Innovative: Journal Of Social Science Research Jurnal Teknologi Jurnal Informatika Ekonomi Bisnis RJOCS (Riau Journal of Computer Science) SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science CSRID Jurnal Riset Pendidikan Multidisiplin dan Pengabdian Kepada Masyarakat
Yuhandri Yuhandri, Yuhandri
UnUniversitas Putra Indonesia YPTK Padang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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PRESERVING HUMAN VALUES WITHIN MINANGKABAU CHILDREN ORAL STORIES THROUGH CREATIVE INDUSTRY (MELESTARIKAN NILAI-NILAI KEMANUSIAAN DALAM CERITA LISAN ANAK MINANGKABAU MELALUI INDUSTRI KREATIF) Toti Sri Mulyati; Satya Gayatri; Yuhandri Yuhandri
Jurnal Gramatika Vol 6, No 2 (2020)
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (899.625 KB) | DOI: 10.22202/jg.2020.v6i2.4224

Abstract

Minangkabau is a territory situated in West Sumatra Indonesia. The history of Minangkabau comes from an oral tradition which is then written and known as "Tambo". Many oral stories that appear in Minangkabau contain human values, for example the story of Malin Kundang which gives human values to be obedient to parents. Through this research, oral stories were collected from informants and written in the form of illustrated books. This study specifically collects children oral stories of Minangkabau, then analyzed, and made into a illustrated story book, because it is feared that these oral stories would disappear along with the death of the informants. These stories are written in the Minang language so that the young generation and children will keep maintaining and understanding the Minang language in daily life. Through the creative industry, oral stories are packaged into illustrated story books in Minang language. The benefit is that Minang children who live in Minang or beyond its areas will hopefully understand and can use the Minang language properly. The approach used in this research is the folklore approach by collecting stories spoken in the Minangkabau community that have not been written yet.
PRESERVING HUMAN VALUES WITHIN MINANGKABAU CHILDREN ORAL STORIES THROUGH CREATIVE INDUSTRY (MELESTARIKAN NILAI-NILAI KEMANUSIAAN DALAM CERITA LISAN ANAK MINANGKABAU MELALUI INDUSTRI KREATIF) Toti Sri Mulyati; Satya Gayatri; Yuhandri Yuhandri
Jurnal Gramatika Vol 6, No 2 (2020)
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/jg.2020.v6i2.4224

Abstract

Minangkabau is a territory situated in West Sumatra Indonesia. The history of Minangkabau comes from an oral tradition which is then written and known as "Tambo". Many oral stories that appear in Minangkabau contain human values, for example the story of Malin Kundang which gives human values to be obedient to parents. Through this research, oral stories were collected from informants and written in the form of illustrated books. This study specifically collects children oral stories of Minangkabau, then analyzed, and made into a illustrated story book, because it is feared that these oral stories would disappear along with the death of the informants. These stories are written in the Minang language so that the young generation and children will keep maintaining and understanding the Minang language in daily life. Through the creative industry, oral stories are packaged into illustrated story books in Minang language. The benefit is that Minang children who live in Minang or beyond its areas will hopefully understand and can use the Minang language properly. The approach used in this research is the folklore approach by collecting stories spoken in the Minangkabau community that have not been written yet.
Komparasi Metode Naive Bayes Dan Certainty Factor Untuk Mendiagnosa Penyakit Anemia: Array Musli Yanto; Yuhandri; Khairiazaz
Jurnal Ilmiah Komputasi Vol. 19 No. 1 (2020): Jurnal Ilmiah Komputasi Volume: 19 No. 1, Maret 2020
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.19.1.150

Abstract

Anemia merupakan sebuah penyakit yang menyebabkan daya tahan tubuh manusia akan semakin melemah yang disebabkan oleh kurangnya sel darah merah yang dimiliki oleh seseorang manusia. Penyakit ini dapat menyerang siapa saja, mulai dari anak-anak, orang dewasa bahkan sampai lanjut usia serta penyakit ini juga memiliki resiko tinggi untuk menyebabkan kematian bagi penderita. Permasalahan dalam penelitian ini adalah bagaimana merancang sebuah sistem pakar untuk mendiagnosa penyakit anemia dengan melakukan perbandingan metode terlebih dahulu. Perandingan metode yang dilakukan dalam penelitian ini adalah metode Naive Bayes dengan metode Certainty Factor. Hasil perbandingan metode tersebut nantinya akan digunakan dalam perancangan sistem pakar dalam melakukan proses diagnosa penyakit anemia. Proses rancangan dimulai dari menemukan pengetahuan pakar tentang penyakit anemia berdasarkan jenis penyakit dari beberapa gejala-gejala yang terlihat. Setelah penulis mendapatkan pengetahuan, proses dilanjutkan untuk pembentukan rule dan menguji rule tersebut dengan teknik penelusuran Forward Chaining. Dalam hasil perbandingan yang telah dilakukan metode Certainty Factor memiliki hasil dengan tingkat keberhasilan proses diagnosa yang tinggi berdasarkan nilai bobot berdasarkan setiap gejala yang diberikan sehingga tujuan dari penelitian ini akan memberikan informasi secara awal dalam mengenali penyakit anemia berdasarkan proses diagnosa sistem pakar dari gejala yang dirasakan bagi penderita.
Image Transformation With Lung Image Thresholding and Segmentation Method Sahat Sonang Sitanggang; Yuhandri Yuhandri; Adil Setiawan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 2 (2023): April 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i2.4321

Abstract

Image transformation is important to obtain and find certain information about an image that was not previously known, such as pixels, geometry, size, and color. Following this, this research aims to analyze image transformation in producing better values using threshold and segmentation methods. The segmentation process is carried out based on two color models, namely hue saturation value (HSV) and red green blue (RGB). The image data used in this study was the x-ray image of the lungs from www.fk.unair.ac.id. which is processed using the Matlab 2021a application to help the analysis process. on the results of the image segmentation analysis carried out in this case, the greater the HSV and RGB threshold values used in the image data, the better and clearer the segmentation of the detected image results. In other words, the size of the thresholding value generated greatly affects the quality, brightness, size, and color of the resulting image. The best lung X-ray image segmentation results were obtained when using the threshold values HSV = 0.9 and RGB = 9.
Sistem pendukung keputusan menggunakan metode analytical hierarchy process (ahp) dalam penentuan kualitas bibit cabai DWI JULISA UTARI; Gunadi Widi Nurcahyo; Yuhandri Yunus
Computer Science and Information Technology Vol 4 No 1 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i1.4743

Abstract

The system is a network of procedures made according to an integrated pattern to carry out the main activities of a company in which there is an information system which is interconnected with one another which ultimately produces information/data that is useful for the intended person according to its designation. Today's Decision Support Systems (DSS) have assisted an organization in helping make important decisions in various sectors. One of them is the agricultural sector. Chili is a horticultural crop that is widely grown by farmers and the community, one of these plants is used as an ingredient for cooking. The purpose of this research is to provide convenience in determining the quality of chili seeds to farmers and the community. The data processed in this study were 5 criteria and 6 alternatives. Data on the quality of chili seeds obtained from the TPHP Office of Sungai Penuh City. The data is processed first, calculated manually and followed by applying calculations from the Analytical Hierarchy Process method. The processing steps determine the weight of each criterion, assign a score (paired comparison), summarize all scores (total weight). During data processing, the level of accuracy is still calculated. The result of testing this method is that the calculation of chili seeds has an accuracy of 83% based on the quality level of the specified criteria. Specifically, the testing decision support system is able to identify the quality of chili seeds. The level of accuracy achieved by the analytical hierarchy process is quite accurate and can help farmers and the community.
Perbandingan algoritma c4.5 dan naive bayes dalam prediksi kelulusan mahasiswa Rovidatul; Yuhandri Yunus; Gunadi Widi Nurcahyo
Computer Science and Information Technology Vol 4 No 1 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i1.4755

Abstract

College management requires graduation predictions to determine early prevention measures for drop out cases. The length of a student's study period can be caused by various factors, so it is necessary to know which students have the potential to graduate not on time. Data mining techniques can be used to explore new knowledge so that it can produce predictions of student graduation. Some algorithms that can be used are C4.5 and Naive Bayes. The purpose of this study was to predict the graduation of students from the Faculty of Social and Political Sciences at Andalas University using the C4.5 and Naive Bayes algorithms. The attributes used are age at college, gender, grade point average 1-4. The data used are FISIP undergraduate students who graduated in 2022 as many as 378. The results show that the accuracy of the Naive Bayes algorithm is better than C4.5 with the highest accuracy of 81.58%.
Sistem Pendukung Keputusan dengan Metode AHP dalam Penentuan Pemilihan Minat Siswa Wenni Afrodita; Sarjon Defit; Yuhandri Yuhandri
JUKI : Jurnal Komputer dan Informatika Vol. 5 No. 1 (2023): JUKI : Jurnal Komputer dan Informatika, Edisi Mei 2023
Publisher : Yayasan Kita Menulis

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

Abstract

Senior High School is a level of formal education in selecting student interests selection of specialization is a grouping of learning interests that makes it easier for students to pursue knowledge in further education, especially in tertiary institutions. Specialization is designed to guide students so they can follow certain subjects at the next school level. Decision Support System has many methods that can be used. One of the methods used in this research is the Analytical Hierarchy Process (AHP) method. This decision support model will break down complex multi-factor or multi-criteria problems into a hierarchy, so that the decisions taken can be more objective. Because the concept of the AHP method is to change qualitative values into quantitative values. The Decision Support System uses the Analytical Hierarchy Process method to determine student interest choices in selecting interest in major subjects. This is a decision support system created to determine interest selection for class X students at SMAN 1 Kinali. The specialization that will be selected is taken from various criteria such as the average value of report cards, understanding of the material and students' interests. Test results on the AHP method obtained an accuracy of 90% from 10 test data. With this application, students are expected to get specialization according to their respective interests and abilities.)
Analisis Penggunaan Metode Port Knocking pada Sistem Keamanan Jaringan Komputer (Studi Kasus di Universitas Baiturrahmah) Roby Nurbahri; Yuhandri; Gunadi Widi Nurcahyo
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jsisfotek.v5i1.211

Abstract

Sistem keamanan jaringan digunakan untuk mencegah dan mengidentifikasi masuk pengguna yang tidak sah (penyusup) di jaringan komputer. Tujuannya adalah untuk mengantisipasi bahaya jaringan komputer, yang berupa ancaman fisik atau logik. Ancaman fisik adalah ancaman yang merusak komponen fisik atau perangkat keras komputer, sedangkan ancaman logik meliputi pencurian data atau peretasan akun. Pihak-pihak yang tidak dapat dipercaya dapat menyalahgunakan akses ke sistem keamanan yang tidak dieksploitasi secara maksimal dan menimbulkan risiko yang signifikan. Serangan terhadap keamanan jaringan dilakukan dengan terlebih dahulu mempelajari detail port yang terbuka, kemudian memanfaatkannya. Mayoritas cracker menggunakan sistem port terbuka  untuk menyerang sistem jaringan. sebagai ilustrasi, Serangan Dos atau ddos yang menargetkan host atau komputer target dengan sejumlah besar paket yang datang dari beragam host.. Dalam hal ini  cracker perlu mengetahui port yang terbuka dan target agar serangan ini berhasil.  Serangan masuk lewat celah terbuka di jaringan komputer, salah satunya adalah port yang terbuka, sehingga memungkinkan pengguna internet yang tidak memiliki izin akses atau yang tidak berkepentingan dapat dengan mudah mengelola port-port yang terbukaIde di balik metode port-knocking adalah menyembunyikan layanan jarak jauh di balik Firewall dan hanya mengizinkan akses ke port tersebut ketika klien dapat diautentikasi ke firewall. Hal ini dapat bertindak sebagai pencegah serangan zero-day dan membantu mencegah pemindai menemukan service yang tersedia dan dapat diakses pada host. Dalam hal ini blocking port dapat melindungi firewall dari pemindai.
The Implementation of Artificial Neural Networks to measure the correlation of teacher's workload to the number of own learning media Erizke Aulya Pasel; Yuhandri Yuhandri; Gunadi Widi Nurcahyo Nurcahyo
Computer Science and Information Technology Vol 4 No 1 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i1.4757

Abstract

The use of learning media in the teaching and learning process is an effort to increase the effectiveness and quality of the learning process. However, the need for learning media is not compatible with the number of learning media made by the teacher himself. One of the factors that causes it is the teacher's workload which is quite a lot so that the teacher does not have enough time to make his own learning media. This study aims to measure the extent of the correlation between the teacher's workload and the amount of instructional media that the teacher himself made. Artificial Neural Network with Backpropagation method is a tool that can be used to solve complex problems, one of which is to measure the level of correlation. The ability of an Artificial Neural Network with the Backpropagation method to adapt to changes that occur in the input and output values makes the prediction accuracy quite high. The teacher's workload variables used are the number of face-to-face hours of even and odd semesters, additional assignments (deputy principal/head of laboratory), homeroom teacher, and extracurricular coaches. The target used is the number of learning media made by the teacher himself. The data used in this study were taken from the workload of teachers at SMAN 4 Payakumbuh in 2022. The architectural patterns used are 5-4-1, 5-5-1, 5-7-1, 5-10-1, and 5- 12-1. From the test results with the Matlab R2013a software, the best pattern was obtained, namely the 5-12-1 pattern with an MSE value of 0.1001, a MAPE of 2.11, and a data accuracy of 97.89%. From the results of the training and testing, it was concluded that the correlation between the teacher's workload and the amount of self-made learning media is very low or not closely related.
Identifikasi Pemilihan jurusan IPA dan IPS di SMA Menggunakan Metode Backward Chaining Sri Amalia Harahap; Yuhandri Yunus; Sumijan Sumijan
Insearch: Information System Research Journal Vol 3, No 01 (2023): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v3i01.5812

Abstract

Sebagian besar siswa lulusan Sekolah Menengah Pertama (SMP) berkeinginan untuk melanjutkan keinginannya khususnya ke SMA, hal tersebut dibuktikan dengan banyaknya siswa lulusan SMP yang mengikuti ujian masuk ke Sekolah Menengah Atas (SMA). Hal yang patut disayangkan adalah kurang matangnya mereka memilih jurusan yang ada disekolah yang dituju. Situasi semacam ini berdampak pada biaya pendidikan yang terlanjur di keluarkan, baik pada orang tua siswa maupun pemerintah yang mensubsidi sekolah menjadi tidak bermanfaat karna siswa tersebut tidak memiliki kemampuan yang memadai untuk jurusan yang sudah dipilihnya. Penelitian ini dilakukan pada SMA Persiapan Stabat. Pada penelitian ini, data yang diolah adalah nilai yang sudah ada yang didapat dari nilai rata-rata siswa di SMP dari kelas VII sampai kelas IX dan peminatan , kemudian data akan diolah untuk menentukan jurusan yang tepat untuk masing-masing siswa. Hasil yang didapat pada penelitan ini mencari alternatif terbaik pemilihan jurusan berdasarkan kriteria-kriteria yang telah ditentukan sekolah dengan menggunakan metode Backward Chaining. Hasil ini mempunyai akurasi yang tinggi, dimana pada jurusan IPA sebesar 93, 7% dan jurusan IPS sebesar 80% dimana dapat direkomendasikan untuk pemilihan jurusan IPA dan IPS di SMA dan metode ini dapat mempercepat seleksi, sehingga membantu dalam pengurangan biaya dan waktu untuk pihak sekolah
Co-Authors - Hendrick - Khairiazaz AA Sudharmawan, AA Aal, Defrizal Abda Abda Abdul Azis Said Achmad Fauzan Syaputra Ade Dwi Dayani Afifah Cahayani Adha Aggy Pramana Gusman Agung Ramadhanu Agus Perdana Windarto Akbar Iskandar Akbari Wafridh Aldi Muharsyah Alfallah, Fadhly Alifcha Ghazian Alifia Restu Selvanda Allans Prima Aulia Andema, Henky Andre Rahmat Kurniawan Andrean, Fajri Ilhami Angga Putra Juledi Anita Sindar Anjun Dermawan Antoni Antoni Aprilian Gevindo Ardiyan, Destio Arif Budiman Arika Juwita Z Ariza Ikhlas Asyhari, Ahmad Aulia, Allans Prima Auriga, Wira Ayu Prima Siska Bambang Supperianto Billy Hendrik Borianto, B Budayawan, Khairi Budi Jaya Budi Permana Putra Chairul Imam Chairul Imam, Chairul Chandra, Mrs Montesna Dahria, Muhammad Dari, Rahmatia Wulan Darnis, Rahmi Delmayanti, Vera Dendi Ferdinal Deno Yulfa Ardian Desi Laidawati Devi Maryuni Dewi Eka Putri Dian Maharani, Dian Dikki Handoko Djasmayena, Selvia Djesmedi, Dinda Dodi Andre Putra Dolly Indra DWI JULISA UTARI Dwi Narulita Dwika Assrani Dzaki Al Fikri Effendy, Geraldo Revanska Efori Buulolo Eggy Febyanti Edwar Eka Naufaldi Novri Eka Praja Wiyata Mandala Eka Ramadhani Putra Eka Sofianti Elpina, Elpina Sari Dewi Hasibuan Eriyanto, Joko Erizke Aulya Pasel Esa Kurniawan Esa Kurniawan Eska, Juna Eva Rianti Fachrul Ilmawan Fadil Idensia Fahmi Firzada Fajri Ilhami Andrean Fauzan, Yuniko Febri Aldi Febri Hadi Feri Irawan Fernando Ramadhan Fhajri Arye Gemilang Finny Fitry Yani Firna Yenila Firzada, Fahmi Fitra, Ilham Fuad El Khair Gayatri, Satya Gemilang, Fhajri Arye Gunadi Dwi Nurcahyo Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo, Gunadi Hadi Syahputra Hadrila P A Halifia Hendri Harkamsyah Andrianof Hartika Zain, Ruri Hartika Hartomi, Zupri Henra Hasanatul Iftitah Hasni, Salmi Hasri Awal Hendrick, H Hendro Zalmadani Henky Andema Hermanto Heru Rahmat Wibawa Putra Ibnu Luthfi Idir Fitriyanto Idir Idun Ariastuti Ikhlas, Muhammad Ilham Asy'ari Ilham Fitra Indah Dwi Putri Indah Permata Sari Indra Riyana Rahadjeng Irvan Okta Mazhona Iskandar Fitri, Iskandar Ismail Virgo Jaya, Budi Jefdy Kurniawan Jhon Veri Johan Danu Wijaya Jufriadif Na`am, Jufriadif Juledi, Angga Putra Julius Santony Julius Santony Julius Santony Julius Santony Julius Santony Julius Santony K Kadrahman Kadrahman, Kadrahman Karseno, Doni Khairani, Maisan Dewi Puspa Khairiazaz Kurniawan, Jefdy Laidawati, Desi Larissa Navia Rani, Larissa Lc Granadi Suhaidir Lidia K Simanjuntak Liga Mayola Lova Endriani Zen Lusi Kestina M Ikhsan Setiawan M Ilham Aldyno M Mutia M, Mutia M.Iqbal, M.Iqbal Maharani Maharani, Maharani Majid Rahman Aziz Mardayulis, Mardayulis Mardison Mardison Mardison Meiditra, Irzon Mesran, Mesran Mey Yuki Lestari Mifthahul Rahmi Mohammad Guntur Montesna Muhammad Abrar Masril Muhammad Amin Muhammad Amin Muhammad Arif Zikir Risky Muhammad Ihksan Muhammad Noor Hasan Siregar Mukhlis Santoso Na'am, Jufriadif Nabilla Yasmin Nandra Sunaryo Nasma Yeni Nasution, Annio Indah Lestari Natalia Silalahi, Natalia Negoro, Wahyu Saptha Nelly Astuti Hasibuan Nissa, Ika Ima Nuning Kurniasih Nurdiyanto, Heri Olivia, Ladyka Febby Ondra Eka Putra P, Prihandoko Permana, Randy Petti Indrayati Sijabat Pohan, Yosua Ade Pratama , Abdul Hanif Pratama, Muhammad Harits Pratiwi, Fitri Prestian Ramadhan Prihandoko Prihandoko Prihandoko Prihandoko, P Pulungan, Akhiruddin Purnomo, Nopi Putra, Heru Rahmat Wibawa Putra, Rafi Septiawan Putra, Rezi Elsya Putri, Stefani R Rahmiyanti Rafi Septiawan Putra Ragil Ardiansyah Rahayu, Rita Rahmad Dian Rahmad Dian Rahmansyah, Rizky Rakhmad Kuswandhie Resnawita Retno Devita Riadi, Rahadatul ‘Aisy Riati, Itin Ridho, Ridho Afwan Rifky, Muhammad Rio Andika Malik Ririn Violina Riski Randa Hidayatullah Rita Sari Rita Sari Rivo Stephano Roby Nurbahri Romi Hardianto Romzi Rahman Ronda Deli Sianturi Rovidatul Rubiati, Nur Rusydi, Rezki S Salmiati Sabri T Rahman Sagala, Gamrina Sahat Sonang Sitanggang Sahri, Alfi Said, Abdul Azis Sajida, Mayang Salman Alfarisi Salimu Salmiati, S Samosir, Khairunnisa Saputra, Randy Sari, Fitri P. Sarjon Defit Seni Oknora Firza Septiana Vratiwi Septiana, Vina Tri Setiawan, Adil Setiawan, Adil Silfia Andini Siregar, Diffri Sisi Hendriani Siska, Ayu Prima Soeheri Soeheri Sonang, Sahat Sonia Indhira Sopi Sapriadi Soraya Rahma Hayati Sovia, Rini Sri Amalia Harahap Sri Dewi Sri Dewi Sri Rahmawati Stefani Hardiyanti Putri Stephano, Rivo Subrianto Chandra Sugiarti, Sugiarti Suginam Suhaidir, Lc Granadi Sukardi Sulastri Sulastri Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan, S Sunaryo, Nandra Supriyanto, Boby Surya Darma Nasution Suryani, Vivi Sutiksno, Dian Utami Syafri Arlis Syafrika Deni Rizki Syafril Syafril Syahid Hakam Abdul Halim Syahputra, Afriadi Syaiffullah, Afif Syaljumairi, Raemon Syaputra, Eka B. Tajuddin, Muhammad Takyudin, Takyudin Tamin, Zulfiqar Taufik Nur Zam Zam Teddy Winanda Teguh Junaidi Teri Ade Putra Tessa Y M Sihite Toti Sri Mulyati Tri Agusti Farma Triyolla Ivandina Tukino, Tukino Uthama, Rayhan Veri, Jhon Very, Jhon Virgo, Ismail Vratiwi, Septiana Wanto, Anjar Wendi Boy Wenni Afrodita Willy Eka Septian Winanda, Teddy Winarto Winarto Wira Apriani Wira, M Wira Sanjaya Wirahmadayanti, Isna Yanti, Salma Nofri yanto, heri Yanto, Musli Yanto, Musli Yendi Putra Yendi Putra Yeni, Nasma Yolla Rahmadi Helmi Yosua Ade Pohan Yuda Irawan Yuda, Fitra Yuda Yudha Aditya Fiandra Yudha Aditya Fiandra Yundari, Yundari Yuniko Fauzan Yusma Elda Yusmaity Zalmadani, Hendro ZH, Lina Alfaridah. Zufari, Faisal Zupri Henra Hartomi