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All Journal International Journal of Applied Power Engineering (IJAPE) Media Kesehatan Masyarakat Indonesia BERKALA FISIKA ELKHA : Jurnal Teknik Elektro Epsilon: Jurnal Matematika Murni dan Terapan Ulul Albab: Jurnal Studi Islam Empathy : Jurnal Fakultas Psikologi LISANIA Jurnal Ilmu dan Pendidikan Bahasa Arab KURVA S JURNAL MAHASISWA JURNAL KOLABORASI LITERARY CRITICISM Jurnal Sains Teknologi dan Lingkungan (JSTL) SYAMIL: Jurnal Pendidikan Agama Islam (Journal of Islamic Education) International Humanities and Applied Science Journal Jurnal Biologi Tropis Pendas : Jurnah Ilmiah Pendidikan Dasar Mesin Jurnal Studi Ilmu-ilmu Al-Qur'an dan Hadis YUME : Journal of Management Al-Ta'lim Jurnal Gema Ngabdi El-Ghiroh : Jurnal Studi Keislaman Scholastica : Jurnal Pendidikan dan Kebudayaan Edification Journal : Pendidikan Agama Islam Metafora: Education, Social Sciences and Humanities Journal Jurnal Ilmiah Al-Mu'ashirah: Media Kajian Al-Qur'an dan Al-Hadits Multi Perspektif Jurnal Papatung : Jurnal Ilmu Administrasi Publik, Pemerintahan dan Politik Bidayah: Studi Ilmu-Ilmu Keislaman Community Development Journal: Jurnal Pengabdian Masyarakat Infotech: Journal of Technology Information Journal of Government and Politics (JGOP) JiTEKH (Jurnal Ilmiah Teknologi Harapan) Journal of Applied Data Sciences International Journal of Economics, Management, Business, and Social Science Majalah Ilmiah UPI YPTK Spektrum Analisis Kebijakan Pendidikan Jurnal Ilmu Komputer dan Informatika ALEXANDRIA: Journal of Economics, Business, and Entrepreneurship Jurnal Ranah Publik Indonesia Kontemporer (Rapik) Jurnal Administrasi Pemerintahan Desa QAULAN: Journal of Islamic Communication NUSRA: Jurnal Penelitian dan Ilmu Pendidikan JAMBURA: JURNAL ILMIAH MANAJEMEN DAN BISNIS sudo Jurnal Teknik Informatika Jurnal Pendidikan dan Ilmu Sosial SYAMIL: JURNAL PENDIDIKAN AGAMA ISLAM (JOURNAL OF ISLAMIC EDUCATION) Jurnal Entrepreneur dan Manajemen Sains Kybernology : Journal of Government Studies DEVOTE: Jurnal Pengabdian Masyarakat Global Jurnal Pepadu IRSYADUNA: Jurnal Kemahasiswaan INJURITY: Journal of Interdisciplinary Studies Jurnal Nagara Bhakti: Jurnal Pengabdian Kepada Masyarakat NUMBERS: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam Jurnal Identitas Jurnal Pengabdian Masyarakat Bangsa MAJAPAHIT POLICY Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Dwija Kusuma Blantika : Multidisciplinary Journal Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat Jurnal Pengabdian Masyarakat dan Riset Pendidikan Journal of Contemporary Local Politics BEGIBUNG: Jurnal Penelitian Multidisiplin BEGAWE: Jurnal Pengabdian Masyarakat Amicus Curiae Tarunaedu Dedikasi: Jurnal Pengabdian Pendidikan dan Teknologi Masyarakat Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Jurnal Ilmu Kesejahteraan Sosial EJESH : Journal Islamic Economics and Social Jurnal Kesehatan Qamarul Huda Nawadeepa: Jurnal Pengabdian Masyarakat ATH-THALIB FisiPublik: Jurnal Ilmu Sosial dan Politik
Ahmad Taufik
Program Studi Ilmu Pemerintahan Fakultas Ilmu Sosial dan Ilmu Politik Universitas Muhammadiyah Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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METODE UAT PADA IMPLEMENTASI SISTEM INFORMASI PENYEWAAN DAN PERAWATAN MESIN FOTOCOPY BERBASIS WEB Taufik, Ahmad; Doharma, Rouly; Saputro, Wahid Hadi
Infotech: Journal of Technology Information Vol 9, No 2 (2023): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i2.199

Abstract

The Information System is a collection of systems in its aspect consisting of software, hardware and brainware in a structured manner with performance in a gradual and interconnected process so as to create a specific product that is needed by the user, with regard to copiers in companies generally have processes such as leasing and maintenance, then along with the development of a website-based information system that can make it easier for users to carry out the process of renting and maintaining photocopiers, but from the rental and maintenance of photocopiers there are several problem factors that influence it, namely, customers experience difficulties in renting photocopiers which have to wait for stock from the company if stock is not available. available so that it takes quite a long time during the rental process, in the process of handling photocopier maintenance from customers the procedure takes a long time to repair because there is no system that support in service delivery as well as miss communication between technicians and customers in carrying out photocopier maintenance for spare parts needs so that the technician brings the wrong spare parts when the customer experiences problems from the photocopier, the purpose of which is a reference for research is to create an information system for leasing and maintaining photocopiers for staff and customers at PT. Micostar Karyagraha, Based on these 3 problems as a solution, an information system is needed for the process of renting and maintaining photocopier machines in a website-based performance, besides that tests were carried out using UAT on 50 respondents on 28 staff and 22 customers, the results are good with an average percentage of 82.36%, the final stage of the results of the machine rental and maintenance information system photocopies made for staff and customers on a website basis.  
PREDIKSI PERMINTAAN MATA KULIAH SEMESTER ANTARA (PADAT) DENGAN MENGGUNAKAN ALGORITMA FOLD-GROWTH DAN FP-GROWTH Parulian, L Taufik; Doharma, Rouly; Taufik, Ahmad
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.159

Abstract

The intermediate semester is the lecture period which is held during the holidays between even and odd semesters which is one of the alternatives given to students. The main purpose of predicting the demand for intermediate semester courses is to be able to help students make improvements to less than optimal grades and to be able to shorten the lecture period. All forms of preparation, both schedules and lecturers' appointments made by the higher education institution are related to requests for courses to be followed by students. Frequent Pattern-Growth (FP-Growth) is an alternative algorithm that can be used to determine the most frequent data set (frequent item set) in a data set. The Fold-growth algorithm uses the SOTrieIT data structure to extract transaction patterns. The expected results in this study are to predict the courses that will be taken by students in the solid / intermediate semester so that the leadership can make good preparations.
HEART DISEASE CLASSIFICATION MODEL IN LEVEL II HOSPITAL MOH. RIDWAN MEUREKSA USING NAVE BAYES Zamroni, Akhmad; Novitawati, Nelly; Rahayu, Dhian Nur; Doharma, Rouly; Taufik, Ahmad
Infotech: Journal of Technology Information Vol 8, No 2 (2022): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i2.149

Abstract

Heart disease is the number one cause of death in the world. Heart disease is a disease due to blockage of the heart's blood vessels which causes a disturbance in the balance between blood supply and demand. Level II Hospital Ridwan Meureksa is a hospital that provides inpatient, outpatient and emergency services. One of the services at the Level II Hospital Moh. Ridwan Meureksa is dealing with matters related to the human heart. In January 2021 to December 2021 at the Moh. Ridwan Meureksa the number of people with heart disease has increased and it is necessary to anticipate the increase in the future. This study aims to classify based on probability or probability from previous data, as well as obtain information about accuracy, precision and recall obtained when testing patient data using the Naive Bayes algorithm. The data used is medical record data of 3970 patients with heart disease cases. The results of the analysis show that symptoms of shortness of breath, rapid pulse, palpitations, weight loss, fever and decreased consciousness can be indicators for diagnosing heart disease. The results of this study are 99.7% and 98.7%, accuracy, 99.8% and 99.3%, precision and 99.8 % and 99.3%.recall.
ANALISA DAN PERANCANGAN SISTEM INFORMASI PENGELOLAAN DATA ALUMNI STMIK WIDURI BERBASIS WEB Puspita, Diah Ayu; Doharma, Rouly; Taufik, Ahmad
Infotech: Journal of Technology Information Vol 7, No 2 (2021): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v7i2.116

Abstract

Rapid developments in the field of information and communication technology have an impact on various fields. One application of technology applications is a web-based alumni data management information system. The existence of alumni is one of the resources for an educational institution that must be embraced and developed as well as possible in order to take advantage of alumni opportunities to the institution. STMIK Widuri, especially the student affairs unit, does not yet have an information system that supports the alumni data management process, and there is no clear report on the STMIK Widuri alumni data. The purpose of this study is to analyze the ongoing alumni data management process, find out how to make alumni data reports more accurate, and design a web-based STMIK Widuri alumni data management application. The author conducts a document review step through a literature study taken from a research journal similar to this study, the author makes direct observations on the object of research, and the author conducts interviews with related parties to explore the issues raised in this study. With this information system, it can make it easier to make STMIK Widuri alumni data reports that are more accurate and faster and can facilitate student units in managing and storing STMIK Widuri alumni data properly.
SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BEASISWA UANG KULIAH TUNGGAL (UKT) MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) DAN TECHNIQUE FOR OTHERS REFERENCE BY SIMILARITY (TOPSIS) Doharma, Rouli; Parulian, L Taufik; Taufik, Ahmad
Infotech: Journal of Technology Information Vol 10, No 1 (2024): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i1.268

Abstract

One viewpoint of the welfare of understudy administrations given by Higher Instruction Teach in an exertion to assist ease the burden of understudy instruction costs is by giving single educational cost grants (UKT) given by the government through instructive educate. In deciding the grant of this grant, there are criteria that must be met by understudies and there's a determination made by the understudy division in deciding which understudies will get this UKT grant. The problems faced in allowing grants are regularly not appropriate on target and it takes very a long time, since they have not utilized a strategy in deciding grant receipts, other than that there are numerous criteria that must be met by the government and higher instruction gets to be an deterrent in choice making. The strategy utilized in this inquire about is the strategy of Expository Chain of command Prepare (AHP) and Method for Others Reference by Closeness to Perfect Arrangement (TOPSIS). The comes about of this think about are anticipated to be able to create a Choice Back Framework show for UKT grant beneficiaries can decide the weight of the criteria and the positioning of grant beneficiaries. ABSTRAKSalah satu aspek kesejahteraan pelayanan kemahasiswaan yang diberikan oleh perguruan tinggi untuk mengurangi beban biaya pendidikan bagi mahasiswa adalah dengan pemberian Beasiswa Belajar Perorangan (UKT) yang diberikan pemerintah melalui lembaga pendidikan. Dalam memutuskan pemberian beasiswa ini, mahasiswa harus memenuhi kriteria tertentu dan Bagian Kemahasiswaan akan melakukan proses seleksi untuk menentukan mahasiswa mana yang akan menerima Beasiswa UKT ini. Permasalahan pemberian beasiswa seringkali tidak efektif dan memakan waktu yang sangat lama. Sebab, tidak ada cara untuk memutuskan penerimaan beasiswa dan banyaknya kriteria  yang ditetapkan pemerintah yang harus dipenuhi, sehingga pendidikan tinggi menjadi kendala dalam pengambilan keputusan. Metode penelitian ini menggunakan metode Analytic Hierarchy Process (AHP) dan Technique for Others Reference by Similarity to Ideal Solution (TOPSIS). Hasil penelitian adalah mengembangkan  model sistem pendukung keputusan untuk menentukan bobot kriteria dan peringkat penerima hibah.
Pengelolaan Pendidikan melalui Sosok Kepala Sekolah Taufik, Ahmad; Chandra, Pasmah; Ibda, Hamidulloh; Hardivizon, Hardivizon
SCHOLASTICA: Jurnal Pendidikan dan Kebudayaan Vol 5 No 1 (2023): Mei
Publisher : LP3M STITNU AL HIKMAH MOJOKERTO

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

Abstract

Kondisi lembaga pendidikan di negara kita saat ini masih ada beberapa pemasalahan klasik yaitu kurangnya sarana prasarana sekolah, keadaan gedung sudah rusak, mutu tenaga pendidik belum memenuhi kompetensi dan kebijakan- kebijakan kurang produktif. Disisi lain sangat menggembirakan yaitu bahwa kesadaran masyarakat semakin meningkat akan pentingnya pendidikan yang bermutu. Pendidikan akan mencapai tujuaanya apabila semua syarat terkait komponen pendidikan terpenuhi. Dari beberapa komponen pendidikan, yang paling berperan adalah kepala sekolah. Kepala sekolah yang bermutu akan mampu menjawab tantangan perubahan zaman yang semakin cepat. Dimasa mendatang permasalahan pendidikan semakin kompleks, sehingga menuntut kepala sekolah untuk selalu melakukan berbagai upaya dalam meningkatkan kompetensi seluruh komponen sekolah. Pendidikan bermutu dihasilkan oleh kepemimpinan kepala sekolah yang bermutu, kepala sekolah bermutu adalah kepala sekolah yang profesional. Kepala sekolah profesional adalah yang mampu mengelola dan mengembangkan sekolah secara komprehensif (menyeluruh), oleh karena itu kepala sekolah mempunyai peran sangat penting dan strategis dalam mewujudkan visi, misi, dan tujuan sekolah.
METODE BLACK-SCHOLES DALAM PENENTUAN HARGA OPSI Taufik, Ahmad; Idris, Mochammad; Lestia, Aprida Siska
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN (EPSILON: JOURNAL OF PURE AND APPLIED MATHEMATICS) Vol 18, No 1 (2024)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v18i1.12604

Abstract

The Black-Scholes Method is one of the option pricing method that introduced by Fischer Black and Myron Scholes in 1973. This study aim to review the determination of the price of an option with stocks as the underlying assets and based on  Black and Scholes assumptions. These assumptions lead to construct an equation named Black-Scholes differential equations, which is the equation that must be satisfied for option as the derivative instrument and non-dividend giving stocks as the underlying assets. After the Black-Scholes differential equations formed successfully, the next step is to find the solution of that equation. Consider the option is call option, the solution that will be obtained from solving the equation is the price of call option. Then substitute it to the put-call parity equation, which is the equation that shows the relationship between call and put option prices, so the price of put option can be obtained too. The estimation that obtained from the Black-Scholes method is the highest price for a contract is said to be fair and worth to buy for the holder.
PERBANDINGAN HASIL BELAJAR MATEMATIKA SISWA YANG DIAJAR MENGGUNAKAN MODEL PENGAJARAN LANGSUNG DAN DISCOVERY LEARNING Taufik, Ahmad
BEGIBUNG: Jurnal Penelitian Multidisiplin Vol. 1 No. 2 (2023): Vol. 1 No. 2 (2023): BEGIBUNG : Jurnal Penelitian Multidisiplin, November 2023
Publisher : Lembaga Berugak Baca

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62667/begibung.v1i2.15

Abstract

Penelitian ini bertujuan untuk mengetahui perbedaan peningkatan hasil belajar antara siswa yang diajar menggunakan model pengajaran langsung dan siswa yang diajar menggunakan model discovery learning. Metode penelitian yang dilakukan adalah quasi experimental design. Populasi pada penelitian ini adalah siswa kelas VII SMP Negeri 3 Praya pada semester genap 2022/2023 dan dipilih 2 kelas secara random sebagai kelas eksperimen penelitian. Penelitian dilakukan dengan pemberian dua perlakuan berbeda terhadap dua kelompok siswa. Pertama, kelas eksperimen I mendapat pengajaran dengan menggunakan model pengajaran langsung, selanjutnya kelas eksperimen II menggunakan model discovery learning. Pengumpulan data dilakukan dengan pemberian test kepada siswa diawal dan akhir penelitian. Hasil penelitan menunjukkan bahwa terdapat perbedaan yang signifikan pada peningkatan hasil belajar siswa yang diajar menggunakan model pengajaran langsung dengan siswa yang diajar menggunakan model discovery learning
Hijrah Milenial Sebagai Identitas Muslim Taufik, Ahmad; Ramadhani, Rizki; Delima, Delima
El-Ghiroh : Jurnal Studi Keislaman Vol 21 No 1 (2023): Maret 2023
Publisher : Sekolah Tinggi Agama Islam (STAI) Bumi Silampari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37092/el-ghiroh.v21i1.522

Abstract

The purpose of this research is to find out the attractiveness of various hijrah motivations among a millennial Muslim generation using digital da'wah methods. Motivation is important with reference to the recognition of people towards the emigration component and each person is structured according to the motives of each individual in order to be able to emigrate. Based on the data, it shows that the credibility of a millennial Muslim is very familiar with the term "hijrah" and the use of social media, but not all use social media as a gateway to hijrah. They have a serious opinion that social media has not functioned optimally as a medium for preaching, because sometimes the content presented is not interesting and there are many media whose sources are not clear. Researchers analyzed this research through qualitative descriptive and literature studies through questionnaires, then researchers collected information from journals, books and online media in order to be able to study the various motivations of millennial Muslims resulting in the symptoms of the hijrah model. The results of this study prove that as users of digital da'wah sometimes increase millennial hijrah motivation, it is proven that the results of the questionnaire state that 72% of the use of digital media following the da'wah dissemination model is optimal.
Multi-Algorithm to Measure the Accuracy Level of Diabetes Status Prediction Zulkifli, Zulkifli; Makkiyah, Feda Anisah; Antoni, Darius; Fitriana, Fitriana; Jamaan, Taufik; Taufik, Ahmad
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.250

Abstract

Poor management of diabetes leads to damage in organs and body tissues, impacting crucial organs like the heart, kidneys, eyes, and nerves. Although there is no permanent cure for diabetes, early detection enables effective disease management, which researchers and medical professionals agree enhances recovery prospects. The rapid progress in information technology has facilitated early prediction and diagnosis of diseases through Machine Learning (ML), a subset of Artificial Intelligence (AI) comprising various algorithms such as Neural Network, Support Vector Machine (SVM), kNN, Random Forest, and Naïve Bayes. These algorithms serve as effective tools in handling predictive data. Early prediction of diabetes holds the potential to control the disease and save lives. Therefore, the focus of this research is to develop a predictive model for diabetes status by utilizing various algorithms, but the level of validation of this model still needs to be tested. The dataset utilized consists of information from several diabetic patients, including eight input variables (pregnancies, glucose levels, blood pressure, skin thickness, insulin levels, BMI, age, and diabetes pedigree function) and one output variable (diabetes status). Research findings indicate that the SVM algorithm exhibits superior accuracy (84%) in predicting diabetes status compared to other algorithms such as neural network, Random Forest, Naïve Bayes, and kNN.
Co-Authors Abdurrosid, Lalu Muhammad Kamal Adawiyah, Hazanatul Agung Suhadi Agus Kosasih, Agus Agustina, Delia Indah Agustina, Nova Ahmad Mustaniruddin Akhmad Zamroni Al, Muchammad Bio Alawiyah, Geby Alaydrus, M. Mukaddam Alaydrus, Mukaddam Alfathdyanto, Khairurizal Ali Husein Alasiry Alim, Irwan Amalia, Anita Reski Amelya Putri, Latifah Andi Rosdianti Razak, Andi Rosdianti Andri, Aimil Musfi Andrianingsih Anissa, Lentiani Anshori, Maz Isa Ansyori, Maz Isa Antoni, Darius Anwar, Hamdani Arfi Syamsun Arifin Arifin Arma, Nur Ambia Arman Ashari, L. Hasan Ashari, Lulu Hasan Askhabul Kirom Asrul Sani Aswad H Saad Atrianti, Atrianti Azka, Af'idatul Azman, Zainal Bambang Husni Nugroho Bambang Priyanto, Bambang Batubara, Monica Mulyani Bhiaztika Ristyanadi Botha, Marten Budi Setiawati Budi Swastomo Budiyantara, Agus BUDIYANTO Burhanuddin Burhanuddin Chaminra, Tipani chandra, Pasmah Charles Charles Cukup Mulyana Darmawan, Adytia Decky Aditya Zulkarnaen Delima Delima Doharma, Rouli Doharma, Rouly Dzihab Aminudin, Muhammad Endang Sri Kurniatun, Endang Sri Fachrun, Muh. Fadillah, Sri Fahruddin, Ahmad Hanif Fajri, Annur Falah, Hadi Mirojul Fariqhan, Dimas Zul Fathul Djannah Fauziah, Farah Fena Prayunisa Ferdiansyah, Ahmad Fierman Sjafirial Agustus Fitriana Fitriana Frangky Silitonga Gaffar, Dian Ekawati Gazali, Munawir Gunadi, Goldie Habibi, M. Ridwan Haikal, Zikrul Hamrun Hamzah, Muh. As'ad Hana, Siti Harahap, Henrawansyah Hardi, Rudi Hardivizon Hardivizon Hartatin, Rika Hastuti Hs, Sri Widya Hawing, Hardianto Hendra Suryadi Heni Pujiastuti Heru Sriyono Hidayat, Mayasya Afifah Hinda Lestari, Neng I Ketut Sudaryana, I Ketut Ibda, Hamidulloh Ida Swasanti Idris, Mochammad Ihyani Malik Ilhamsyah Indah Sabri, Alifyah Nur Indra Lestari, Indra Indra, Andito Irwansyah Irwansyah Isnaad, Ainia Dzikra Putri Jalil, Muhamad Jamil, Ahmad Jamil, Muhammad Ridwan Jannah, Andi Ifadtul Jemma, Jemma Johan Wahyudi, Johan JUNAEDI Kadriyan, Hamsu Kailani, Mohd Kamsi, Nurlila Khairul Muslim Khoiri, Ikhsan Kholik, Kholilul Kristiana, Lindra Kurniasari, Indah Kusmana Kusmana L. Hasan Ashari Latifa Dinar , Sarah Leli Hasanah Lubis Lestari, Rizka Vidya Lestia, Aprida Siska Lukito, Reni Marwiyati M Amin, M Makkiyah, Feda Anisah Manaf, Irfan Mariah Ulfah Mira Lestira Hariani Mochammad Imron Awalludin Mone, Ansyari Mubasyaroh Mubasyaroh, Mubasyaroh Muhammad Amril Pratama Putra, Muhammad Amril Muhammad Ramadhan Muhammad Rosyidi, Rohadi Muhammad Yunus Muryono, Tupan Tri Mustakim, Yasin Mustapidah, Tita Siti Nandana, Pandu Ishaq Novitawati, Nelly Novrizal, Yudhi Nur Azizah Nur Mauliana, Julia Nur Wahid, Nur Nurtjahyono, Nurtjahyono Nurwijayanti Nuryanti Mustari, Nuryanti Nuswanto, Heru Susetyo Ohan Farhan Otong Nurhilal Padauleng, Novrita Paerdoe, Lalu Dane Pemban Panjaitan, Albert Parawu, Hafiz Elfiansya Parawu, Hafiz Elfiansyah Parulian, L Taufik Pasaribu, Faisal Irsan Prasetyaningtyas , Fitria Dwi Prasetyo, Bambang Agung Pratama, Muhammad Rivaldi Purnaning, Dyah Puspa, Andi Asindah Puspita, Diah Ayu Putri Aisyah Nurrachman, Salsa Raden Mohamad Herdian Bhakti Rahayu, Dhian Nur Rahim, Samsir Rahma, Andi Aswirathul Rahman , Hadian Rahmisyari Ramadhani, Khadafi Razak, Fitri Sari Handayani Reny, Reny Rina Febriana Rizki Ramadhani Rohadi Rohadi Rokyal Harjanty Rosalina, Zakiyah Rupiarsieh Rusman, Muhammad Ruth Riah Ate Tarigan Salafudin Salafudin, Salafudin Salama, Heti Saputro, Wahid Hadi Sari, Nurmita Septiani, Nonik Setyawan, Cahya Edi Siregar, Paulina Siti Aisyah Siti Hajar Siti Nurjanah Soelaiman, T. A Fauzi Soma, Tito Arya Steven Christian Suhaimi, Firdaus Sunanda, Sunanda Sunanto Sunanto Suparman Suparman Surya Hardi, Surya Susi Rahayu Susmawan, Susmawan Suwarno Suwarno Syahidah, Putri Amalina Syahrial, Feri Syakila, Nurul Amira Taufik Jamaan Tikson, Deddy T Tjatur Supriyono Tri M, Tupan Utami, Isra Rezky Vandita, Lalu Yoga Witjoro, Wisnu Adi Wulandari, Rizka Wulpiah, Wulpiah Yasin, Muhammad Faishal Yoga Vandita, Lalu Yuherman Yuherman Yulianti, Almaida Yusuf, Abdul Mazid Yusutria Yusutria Yuwono Yuwono Zakaria, Wan Fariza Alyati Wan Zarkasi, Zarkasi Zuhan, Arif