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All Journal ARABIYAT Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Informatika dan Teknik Elektro Terapan Jurnal Studi Agama dan Masyarakat Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Madaniyah: Terciptanya Insan Akademis Berkualitas Dan Berakhlak Mulia JIKO (Jurnal Informatika dan Komputer) qolamuna : Jurnal studi islam Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL ILMIAH INFORMATIKA Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Jambura Journal of Food Technology JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal Tekno Kompak Jurnal Edukasi (Ekonomi, Pendidikan dan Akuntansi) JURSIMA (Jurnal Sistem Informasi dan Manajemen) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Biogenerasi JISA (Jurnal Informatika dan Sains) BERNAS: Jurnal Pengabdian Kepada Masyarakat Al-Fusha : Arabic Language Education Journal Jurnal Pendidikan dan Teknologi Indonesia Mosharafa: Jurnal Pendidikan Matematika Tanwir Arabiyyah: Arabic as Foreign Language Journal Jurnal Dinamika Informatika (JDI) Jurnal EBONI Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) PENA ABDIMAS : Jurnal Pengabdian Masyarakat Makara Journal of Technology Jurnal Sistem Informasi dan Teknologi (SINTEK) Indonesian Journal of Fundamental Sciences Journal of Tourism Education Prosiding Seminar Nasional Manajemen dan Ekonomi JURSIMA Iqtida: Journal of Da'wah and Communication Huma: Jurnal Sosiologi AMMA : Jurnal Pengabdian Masyarakat Jurnal Biologi Babasal Al-Zayn: Jurnal Ilmu Sosial & Hukum Jurnal Sistem Informasi dan Manajemen Maddana: Jurnal Pengabdian Kepada Masyarakat Sirajuddin : Jurnal Penelitian dan Kajian Pendidikan Islam Prosiding Seminar Nasional Unimus Jurnal Kemitraan Masyarakat Informasi interaktif : jurnal informatika dan teknologi informasi Jurnal Riset Multidisiplin Edukasi Jurnal Cendekia Ilmiah PESHUM Jurnal Geosaintek Sintek Kuwera Sirajuddin: Jurnal Penelitian dan Kajian Pendidikan Islam Bianglala Informatika
Ahmad Faqih
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IMPLEMENTASI AKURASI MODEL NAIVE BAYES MENGGUNAKAN SMOTE DALAM ANALISIS SENTIMEN PENGGUNA APLIKASI BRIMO Hermawan, Muhammad Andi; Faqih, Ahmad; Dwilestari, Gifthera
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5748

Abstract

Aplikasi Brimo dari Bank Rakyat Indonesia (BRI) menjadi salah satu platform utama interaksi nasabah dengan layanan perbankan. Analisis sentimen ulasan pengguna aplikasi ini pentring untuk memahami pendapat dan menaikkan kualitas pelayanan. Penelitian ini menggunakan algoritma Naïve bayes dengan menerapkan model Smote (Synthetic Minority Over-sampling Technique) untuk menangani ketidakseimbangan kelas antara kelas positif dan negatif dalam data ulasan pengguna. Dataset yang di peroleh mencapai 1.000 ulasan Play store yang di proses melalui tahap pengumpulan, pra-pemrosesan teks, dan evaluasi menggunakan Confusion Matrix. penelitian menunjukkan bahwa metode SMOTE secara signifikan meningkatkan kinerja model, dengan recall untuk sentimen negatif meningkat dari 0,55 menjadi 0,87 dan F1-score dari 0,71 menjadi 0,84. Akurasi model juga naik dari 93% menjadi 95%, dengan pengurangan False Negatives. Temuan ini membuktikan efektivitas SMOTE dalam meningkatkan akurasi dan representasi model untuk memahami opini pengguna BRImo secara lebih baik.
IMPLEMENTASI APLIKASI PEMBELAJARAN PETUALANGAN BERBASIS AUGMENTED REALITY UNTUK MENINGKATKAN INTERAKTIVITAS DI SMAN 1 DUKUPUNTANG Hermawan, Bagus; Faqih, Ahmad; Dwilestari, Gifthera
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5688

Abstract

 Kemajuan teknologi telah membawa perubahan signifikan dalam pendidikan, termasuk di SMAN 1 Dukupuntang, Kabupaten Cirebon, yang menghadapi masalah kejenuhan belajar. Penelitian ini bertujuan merancang aplikasi pembelajaran berbasis Augmented Reality (AR) untuk meningkatkan motivasi dan pemahaman siswa dalam Biologi, Fisika, Kimia, dan Matematika. Dengan menggunakan pendekatan Research and Development (R&D) dan model ADDIE (Analyze, Design, Development, Implementation, Evaluation), aplikasi AR ini berhasil mengurangi kejenuhan dan meningkatkan keterlibatan siswa. Pada tahap analisis, observasi dan wawancara menunjukkan kebutuhan siswa akan metode belajar yang lebih menarik. Desain aplikasi mencakup skenario petualangan dengan visualisasi 3D, mempermudah pemahaman konsep abstrak seperti struktur atom. Implementasi di kelas menggunakan marker-based tracking untuk meningkatkan partisipasi siswa. Evaluasi menunjukkan peningkatan minat belajar dari 61% menjadi 90% setelah menggunakan aplikasi. Umpan balik siswa dan guru menyatakan aplikasi ini memenuhi kebutuhan media belajar inovatif, meskipun ada tantangan perangkat dan koneksi internet. Hasil penelitian ini menekankan bahwa AR efektif meningkatkan interaktivitas pembelajaran, menciptakan pengalaman belajar menyenangkan dan relevan, serta memiliki potensi besar untuk diterapkan lebih luas guna mendukung proses belajar yang inovatif di sekolah.
Bibliometrik Analysis: Optimasi Regresi Linear untuk Estimasi Big Data pada Database Scopus Tahun 2013-2024 Ahmad Faqih; Riri Narasati
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

This bibliometric analysis investigates the optimization of linear regression for big data estimation, focusing on publication trends, citation metrics, geographic distribution, and research innovations from 2013 to 2024. The publication trend analysis reveals a significant increase in research on linear regression optimization, peaking in 2023, followed by a decline in 2024. Citation analysis shows that although this topic is relatively new, it has gained increasing scientific recognition, indicating its growing relevance. The geographic distribution highlights China, the United States, and the United Kingdom as the leading contributors to research on linear regression optimization for big data. Key innovations in this field include the application of quantum algorithms and advanced optimization techniques, which have significantly improved computational efficiency and the accuracy of linear regression models in handling large and complex datasets. These findings underscore that linear regression optimization will continue to evolve and make important contributions to big data analytics.
Bibliometrik Analysis: Pembelajaran Speaking Session Menggunakan Instagram Pada Data Base Scopus 2014-2024 Riri Narasati; Ahmad Faqih; Dadang Sudrajat
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

In today's digital age, social media plays an important role in various aspects of life, including education. This research explores the use of Instagram as a learning tool to improve English speaking skills. Through bibliometric analysis, this study identifies previous research trends and evaluates the effectiveness of Instagram-based learning methods. It also reviews existing literature to understand how Instagram has been used in language learning contexts, as well as identifying existing research gaps. The results show that the use of Instagram in English language learning can increase student motivation and participation. Interaction through video, story and dialog-based content on Instagram proved effective in improving speaking skills. The study also found that the use of project-based tasks on Instagram can help students in developing their confidence and speaking ability. In addition, this study highlights the importance of structured guidance and feedback in maximizing the benefits of learning through Instagram. This research makes a novel contribution to the literature by offering a more in-depth approach to the use of Instagram in English language learning. By exploring effective learning strategies and their impact on students' speaking skills, this study explores the role of Instagram in English language learning.
ANALISIS PENGARUH KORAN DIGITAL TERHADAP MINAT MEMBACA SURAT KABAR CETAK MENGGUNAKAN METODE REGRESI LINIER BERGANDA Ezra Pratama, Daffa; Faqih, Ahmad; Eka Permana, Sandy
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 1 (2025): JATI Vol. 9 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i1.12394

Abstract

Perkembangan teknologi digital telah membawa perubahan signifikan dalam konsumsi media berita. Koran digital semakin diminati karena aksesibilitas yang lebih baik, biaya lebih rendah, dan fleksibilitas penggunaannya. Hal ini menyebabkan penurunan minat baca surat kabar cetak yang sebelumnya menjadi sumber informasi utama. Penelitian ini bertujuan untuk menganalisis pengaruh koran digital terhadap minat baca surat kabar cetak, dengan fokus pada masyarakat Desa Ciperna, Kecamatan Talun, Kabupaten Cirebon. Metode yang digunakan adalah deskriptif kuantitatif dengan pendekatan regresi linier berganda. Data dikumpulkan melalui survei dan wawancara, dengan variabel independen meliputi aksesibilitas, harga, dan kemudahan penggunaan koran digital, serta variabel dependen minat baca surat kabar cetak. Model regresi menunjukkan tingkat akurasi sebesar 84,1% (R-squared 0,841), yang mengindikasikan model ini dapat menjelaskan 84,1% variabilitas minat baca berdasarkan variabel independen. Hasil analisis menunjukkan bahwa aksesibilitas dan harga koran digital berpengaruh signifikan terhadap penurunan minat baca surat kabar cetak, sementara kemudahan penggunaan tidak signifikan. Aksesibilitas menjadi faktor dominan yang memengaruhi peralihan preferensi masyarakat ke media digital. Penelitian ini merekomendasikan adaptasi industri surat kabar cetak terhadap perkembangan teknologi digital untuk mempertahankan eksistensinya, serta pentingnya inovasi untuk menarik minat pembaca.
CLUSTERING KELOMPOK BELAJAR SISWA BERDASARKAN HASIL UJIAN SEKOLAH MENGGUNAKAN ALGORITMA K-MEANS Syaefudulloh, Mohammad; Faqih, Ahmad; Basysyar, Fadhil Muhammad
JURSIMA Vol 10 No 1 (2022): Jursima Vol. 10 No. 1, April Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i1.397

Abstract

Introduction: The government has the responsibility of determining national education quality policies and standards and has a role to evaluate the implementation of education in the framework of national education quality control. One way to evaluate the standards of primary and secondary education nationally is the results of the achievement of the National Examination (UN). The quality of students in learning in schools has a lot of diversity this makes students have different levels of understanding this can be seen from the variety of school test scores obtained, this needs to be a concern for the school, especially teachers. One of them is by forming an effective study group so that every student has the opportunity to excel. To find out how to cluster the quality of Astanajapura State High School education based on the results of school test scores. Method: Research conducted using machine learning with K-Means algorithm with sample datasets or secondary data from State High School 1 Astanajapura Class XII which will be used as the material of this study. Method: Research conducted using machine learning with K-Means algorithm with sample datasets or secondary data from State High School 1 Astanajapura Class XII which will be used as the material of this study. Results: The results in this study get a cluster of students, namely students are very prestigious, prestigious and less prestigious. The clustering obtained in this study k = 4 is that there are 145 students categorized into cluster 0 with a DBi value of 0.763. The evaluation results of the K-Means algorithm resulted in a cluster with excellent and good grades, the results of this study can be used as a guideline for teaching teachers in decision making on the formation of student learning groups in Class XII. Discussion: The use of the K-Means method to group is one of the appropriate methods when viewed from the variables to be used, namely school test scores
PENERAPAN METODE ALGORITMA K-MEANS DALAM PEMETAAN PESERTA DIKLAT KETERAMPILAN PELAUT DI SMKN 1 MUNDU Rusmayana, Sigit; Faqih, Ahmad; Bahtiar, Agus
JURSIMA Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.404

Abstract

Abstract Smkn 1 Mundu Cirebon Sailor Skills Training is the only training organizer who is in vocational high school that can conduct BST (Basic Safety Training) training for sailors of IMO (International Maritime Organization) standards. This research aims to identify the origin of the participants of the training, to apply when the time of the training is held, to find out the needs of the certificate of the participants of the training. This research sample was obtained from the data sheet of Smkn 1 Mundu Cirebon Sailor Skills Training where everyone who will work at sea must have a BST (Basic Safety Training) certificate. The research method done by machine learning using the K-Means Algorithm is the simplest and most common clustering method. This is because K-Means has the ability to group large amounts of data with relatively fast and efficient computing times. With the research can be useful for the Institute of Seafaring Skills Training SMKN 1 Mundu Cirebon So that it can be to identify the Origin of The Training Participants from the cirebon, Indramayu, Majalengka, Kuningan, Brebes, Tegal Pemalang, Purwokerto which dominates the participants of the training, as well as the implementation of the most widely carried out training in the period of August, September and December after students are declared first of school and most certificates are taken to work abroad especially on fishing vessels, commercial vessels and cruise ships as well as at offshore drilling refineries. The result of the application of this k-means clustering algorithm results in k = 3 with DBi = 0.547 model clusters produced cluster 0 = 465 items, cluster 1 = 608 items and cluster 2 = 462 items Keywords of at least 3-5 keywords: Sailor Skills Training, BST (Basic Safety Training), K-Means Algorithm
Mengimplementasi Algoritma Self-Organizing Map untuk pemetaan data kasus COVID-19 di Jawa Barat Suharno, Achmad; Faqih, Ahmad; Suprapti, Tati
JURSIMA Vol 10 No 3 (2022): Jursima Vol.10 No.3
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.417

Abstract

ABSTRACT COVID-19 is a contagious disease characterized by respiratory symptoms. This virus has a higher rate of spread or transmission than the previous variant of the virus. The mapping of the area of COVID-19 spread carried out by the government has not been optimally adhered to by the community. High community activity (mobility) is one of the causes of the spread of COVID-19. People are still traveling (mobility) in areas of high COVID-19 spread. The public needs a lot of additional information about mapping the spread of COVID-19. The grouping method uses the Self-Organizing Map algorithm. The dataset used is the latest data that includes the number of closecontact_total (direct interaction), suspect_total (total covid symptoms), probable_total (suspected exposure), confirmation_total (confirmed covid-19) in West Java. Furthermore, the results of the grouping are evaluated. Evaluation in the form of internal evaluation using davies-bouldin indeks. The expected result is mapping of kab / city in West Java based on the latest Covid data with a DBI value of 1.04768 at k = 6 Keywords: Self-Organizing Map, Davies Bouldin Indeks, Covid-19 West Java
IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOUR UNTUK PREDIKSI KETEPATAN KELULUSAN Hidayat, Manarul; Faqih, Ahmad; Suprapti, Tati
JURSIMA Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.420

Abstract

In an education system, students are an important asset of a college and therefore, it is important to pay attention to the percentage of students who graduate on time. However, there is an imbalance between the inputs and outputs of the completed students. Students who enroll in large numbers, but students who graduate on time compared to those who are late according to regulations are fewer. In this study, the author aims to apply the K-NN method using cross validation to predict student graduation rates at STMIK IKMI. The results of this study are in the form of models and evaluations of student graduation predictions, whether they graduate on time or not on time. Based on the results of the design, implementation, testing using the RapidMiner program for predicting student graduation using the k-NN method with Cross Validation resulting in an accuracy of 70.28%, an error of 29.78%, and AUC of 0.739 Keywords: Graduation, Student, K-NN, Cross Validation
IMPLEMENTASI DATA MINING PADA KETEPATAN PENGIRIMAN BARANG DENGAN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS Dikananda, Arif Rinaldi; Wijaya, Nurjana Adi; Mulyawan, Mulyawan; Faqih, Ahmad
JURSIMA Vol 10 No 3 (2022): Jursima Vol.10 No.3
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.472

Abstract

Abstract The development of digital technology E-commers is increasing, online shop goods delivery services are needed to support daily needs. The delivery man is in charge of sending goods to customers, with the delivery of goods applications can monitor delays in delivery of goods to customers so as to obtain data on delays in delivery of goods or called Over SLA. However, in processing the data, they still use manuals with Microsoft Excel so that they are lacking in providing more accurate information such as the accuracy of the accuracy of the delivery of goods, grouping of data on delays in the delivery of goods. The method used in this study by utilizing data mining using the K-Nearest Neighbors or KNN algorithm to classify or group data on delays in shipping goods. This method is used in data mining using Rapidminer machine learning applications. This study aims to classify data on delivery of goods and grouping data on timeliness of delivery so that data can be processed properly so as to produce information about the accuracy of delivery of goods by delivery man, to be more effective and faster in presenting data and classifying data. Keywords: Data mining, Classification, K-Nearest Neighbor (KNN).
Co-Authors -, Kaslani Abdullah Baharun Abi Fajar Ahmad Fauzi Achmad Supandi Ade Rizki Rinaldi Ade Rizki Rinaldy Adella, Luthfiyyah Iffah Adellia Putriani Adjie Setyadj, Mochammad Adnan Adnan Agung Triyono agus bahtiar Agus Riyadi Ahlam Musaydah Ahmad Jihadi Ahmad Rifai Akhmad Abu Khasan Muzakki Akhmad Subhan Al Ghozali, Muhammad Iqbal Ali, Ashehad Aswen Alma’as, Azis Amelia, Mita Andi Setiawan Andriawan, Dimas Annisa Rahmi Anshari, Rahman Ardiyanto Saleh Modjo Arif Rinaldi Dikananda Arnas Arnas, Arnas Arum Sari Arya Wijaya, Arya Athhar Hafizha Luthfi ayu hardani, anita Aziz Ramadhani Azzahra, Fitriyani Badruddin Bafadal, Mentarry Bambang Irawan Bambang Siswoyo Basysyar, Fadhil Muhammad Bisma Mahendra Chatarina Umbul Wahyuni Chulyatunni’mah Cika Cahya Kafita Purnama Dadang Sudrajat Denni Pratama Devika Rahayu Daud Dewi Wahyuni K. Baderan Diding Herudin Diding Herudin Diding Herudin, Diding Herudin Dienwati Nuris, Nisa Dikananda, Arif Rinaldi Dikananda, Fatihanursari Dini Andriyani Dita Rizki Amalia Dita, Mesya Sabhna Adma Djamadi, Dian Anggreini Dwi Kusuma, Lukman Edi Tohidi Eka Permana, Sandy Enjelita, Ratu Erieska Aprilyanti Esa Putra, Arga Ezra Pratama, Daffa Fadhil Muhammad Basysyar Fadilah, Euis Fajri, Ibnu Fajria, Azzahra Moudy Fathurrohman, Fathurrohman Febiyanto, Anggi Fidya Arie Pratama Fitria, Ananda Rizki Fuad Pontoiyo Gagarin, Muhamad Yuri Giannetti, Niccolo Gifthera Dwilestari Gilang Ramadhan Gita Antar Wulan Gumelar, Restu Habiballoh, Hafshoh Hafshoh Habiballoh Hamdan, Faiz Dzul Fahmi Hamzah, Hasyrul Haqiyah, Aridhotul Hasim Hasim Hasim Hasim Herdiyana, Ruli Hermawan, Bagus Hermawan, Muhammad Andi Hidayat, Manarul Hikmah Maulani Himawan, Toni Iffah Adelia, Luthfiyyah Ilah Holilah Ilma’nun, M. Lulu Indra Wiguna Marthanu Iqbal Syaidin, Fadli Irfan Ali, Irfan Jamiatur Rasyidah Jannah, Afni Nur Juliandro, Daniel Juramang, Risnayanti R K. Toiyo, Frandika Kadir, Rian Kaslani Khaerul Anam Khairul Akmal, Khairul Khairussalam Khoirul Huda, Muhammad Knohl, Alexander Komalasari, Cahyaningrum Kurnia, Dian Ade Kurniasih, Desta Dwi La Alio La Alio Laili Hidayatun Nikmah Laksono, Agung Lestari, Anjar Ayuning Lestari, Wien Lidina, Lidina Lila Zulfa Kamila M. Basysyar, Fadhil Ma'rufah, Ummu Madyant Mahendra, Yusril Muhamad Izha Mahludin H. Baruwadi Maman Abdurrahman Manarul Hidayat Martanto Maulana Sidiq, Cecep Maulana, Haris Mey Yulan Moko Mia Nurmala Mifta Almaripat Miftahul Huda Mohamad Riad Solihin Mohammad Sholehuddin Mohammad Syaefudulloh Mubarok, Fatkhan Muh. Arfah Syam Muhammad Daffa Ayyasy Muhammad Fajid, Marfelio Muharram Muharram Muhfidz Hidayat, Aziz Muhibuddin Mukdin, Novita B Mulyana, Dani Mulyawan Mulyawan Mulyawan, Mulyawan Nalahuddin Saleh Narasati, Riri Narasati Nasruddin Nasruddin Nida Naswa Ningrum, Cistia Ningsih, Indah Ratna Nisa Sari, Ainun Nor Faizatun Nikmah Norma Feti Farida Novi Mardiana Nur Atika Astriani Nur Farida, Farah Nur Halimah Nur Hikmatul Azizah Nur Rochmah, Aulia Nuraini, Asyifa Nurhadiansyah, Nurhadiansyah Nurhakim, Bani Nurjana Adi Wijaya Nurul Aini, Yuli Odi Nurdiawan Oktavia, Riska Permadani Pertiwi, Pirda Parida Permana , Sandy Eka Permana, Sandy Eka Pratama, Denni Pratama, Fidya Arie Putra, Aris Pratama R. Juramang, Risnayanti Rachmatullah, Mochamad Miftah Rahayu, Helda Kusuma Rahma, Aliya Anisa Ramiro Firjatullah, Federicko Ramli Utina Raudya, Talitha Rayhan, Tubagus Muhammad Rifa'i, Ahmad Rifa’I, Ahmad Rinaldi Dikananda, Arif Riri Narasati Risma Septiana Putri Ristika Handarini Riyanto Adji Rizqy, Muhammad Enricco Rohmat, Cep Lukman Rosmeri Manurung, Agnes Rudi Kurniawan Rusmayana, Sigit Saeful Anwar, Saeful Saepu Qirom, Dani Saepudin, Asep Safitri, Ikraeni Sagita, Ayu Sandy Eka Permana Sandy Eka Permana, Faqih Satria Kamalil Hidayat Selly Novita Sari Septianto, Muhamad Arif Sigit Rusmayana Siti Ifroh Alwildah SM, Farid Solihudin, Dodi Subaegi, Angga Sugihartono, Tri Suharno, Achmad Sulaeman, Muhamad Supandi, Achmad Suryani Dewi, Ike Susana, Heliyanti Syaefudulloh, Mohammad Syam, Muh Arfah Syam, Muh. Arfah Syayid Al Manar Tania June Tati Suprapti Tengku Riza Zarzani N Tissa Aunilla Tomayahu, Tian Toriquddin Umar, Achmad Jauhari Wahyu Ningrum Sulistyowati Wanada, Gada Wanda, Aliffa Wijaya, Nurjana Adi Yonny Koesmaryono Yoshua, Deden Yudhistira Arie Wijaya Yuliantin, Yovi