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All Journal Jurnal technoscientia Jurnal Informatika dan Teknik Elektro Terapan Information System for Educators and Professionals : Journal of Information System Informatics for Educators and Professional : Journal of Informatics Information Management For Educators And Professionals (IMBI) JITK (Jurnal Ilmu Pengetahuan dan Komputer) KOPERTIP: Jurnal Ilmiah Manajemen Informatika dan Komputer JURNAL ILMIAH INFORMATIKA JURIKOM (Jurnal Riset Komputer) Jurnal Informasi dan Komputer JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY Jurnal Tekno Kompak Jurnal ICT : Information Communication & Technology Jurnal Manajemen Komunikasi Jurnal Informatika dan Rekayasa Perangkat Lunak JURSIMA (Jurnal Sistem Informasi dan Manajemen) JATI (Jurnal Mahasiswa Teknik Informatika) E-Link: Jurnal Teknik Elektro dan Informatika Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) MEANS (Media Informasi Analisa dan Sistem) JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Informatika Terpadu Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Informatika dan Teknologi Informasi INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi JURSIMA Jurnal Teknologi Ilmu Komputer AMMA : Jurnal Pengabdian Masyarakat Jurnal Informatika Polinema (JIP) Jurnal Sistem Informasi dan Manajemen Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Informasi interaktif : jurnal informatika dan teknologi informasi
Gifthera Dwilestari
STMIK IKMI Cirebon
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Social Sciences Other

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Manajemen Authentifikasi User Menggunakan Metode Radius Server pada RS Jantung Hasna Medika Haris Abdul Hadi; Iin; Gifthera Dwilestari; Ahmad Faqih; Nisa Dienwati Nuris
KOPERTIP : Jurnal Ilmiah Manajemen Informatika dan Komputer Vol. 6 No. 2 (2022): KOPERTIP : Jurnal Ilmiah Manajemen Informatika dan Komputer
Publisher : Puslitbang Kopertip Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32485/kopertip.v6i2.133

Abstract

Kebebasan dalam penggunaan jaringan internet perlu diterapkan sistem keamanan guna untuk menjaga kualitas layanan di rumah sakit jantung hasna medika digunakan oleh pengguna yang bertanggung jawab. Rumah sakit jantung hasna medika merupakan rumah sakit yang bergerak dibidang kesehatan jantung. Untuk penunjang pelayanan yang maksimal dibutuhkan akses internet yang stabil, namun dalam penerapan internet yang ada saat ini masih dirasa tidak tepat sasaran, karena setiap bulan internet melebihi kuota yang diberikan oleh ISP, sehingga akses internet diturunkan menyebabkan akses internet tidak stabil dan berpengaruh kepelayanan. permasalahan yang sering terjadi diantaranya, delay ketika ada user yang menjalankan tiga aktifitas sekaligus yaitu browsing streaming dan online meeting. masalah yang lainnya juga pada penggunaan jaringan wireless LAN yaitu tentang keamanannya yang masih mempunyai banyak kelemahan, dengan memanfaatkan kelemahan yang ada, dapat memungkinkan pengguna yang tidak berhak dapat masuk ke jaringan. jaringan internet yang stabil sulit didapatkan sehingga sering mengalami kendala ketika koneksi internet umumnya wireless pada jaringan yang sama. Oleh karena itu membutuhkan mikrotik untuk manajemen bandwidth dan user manager. menggunakan Radius Server dan penerapan Bandwith yang baik, sangat berpengaruh dalam kelancaran jaringan dirumah Sakit Jantung Hasna Medika dengan metode Radius server user manager sangat membantu untuk masalah ini. Untuk mengatasi masalah tersebut solusi yang diberikan menggunakan radius server merupakan pembatasan akses internet untuk membatasi pengguna yang akan mengakses ke jaringan internet dengan medaftarkan setiap unit menggunakan user sama dengan password untuk menentukan hak akses dari perangkat user, sehingga user bisa terkoneksi.tujuan dari penelitian ini adalah untuk mengevaluasi keamanan jaringan internet Manfaat yang didapat adalah memberikan prioritas akses internet pada traffic yang kompleks sehingga bisa merasakan stabilitas internet secara adil dan tepat sasaran. hasil dari penelitian ini adanya, peningkatan setelah diterapkan manajemen authentikasi user menggunakan metode Radius Server untuk meningkatkan keamanan jaringan di pelayanan Rumah Sakit jantung Hasna Medika meningkat sebesar 8,71 %.
Penerapan Association Rule Menggunakan Frequent Pattern Growth Untuk Rekomendasi Produk Jersey Sepakbola Anwar Musaddad; Odi Nurdiawan; Gifthera Dwilestari
Journal of Computer System and Informatics (JoSYC) Vol 3 No 3 (2022): May 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i3.1390

Abstract

The phenomenon of the beginning of the year, what some football fans have been waiting for, is the publication of the latest jersey from their favorite team. When the new jersey was launched, football fans flocked to buy the jersey, but there were several shops available for the new jersey. This was experienced by the Eighteen Sport shop, in fulfilling the wishes of fans, there were obstacles to re-stock the jerseys that were most in demand. So many items that have not been sold. The focus of this research lies in managing jersey sales data in June, July and August, as well as high interest in the demand for club jerseys. The high demand for jerseys is influenced by the achievements of the club itself. This study uses the FP Growth algorithm with the aim of getting a recommendation pattern from the wishes of football fans. Based on the results of the support management, it was found that consumers by buying 1 jersey item will buy back 1 different jersey item as many as 15 patterns. Consumers by buying 2 jersey items will repurchase 1 different jersey item as many as 46 patterns. Consumers by buying 3 jersey items will repurchase 1 different jersey item as many as 37 patterns. Consumers by buying 4 jersey items will repurchase 1 different jersey item for 10 patterns. So that the pol data becomes the owner's recommendation to make a repeat purchase.
Klasifikasi Pemberian Bantuan UMKM Cirebon dengan Menggunakan Algoritma K-Nearest Neighbor Hira Wahyuni Azizah; Odi Nurdiawan; Gifthera Dwilestari; Kaslani Kaslani; Edi Tohidi
Journal of Computer System and Informatics (JoSYC) Vol 3 No 3 (2022): May 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i3.1392

Abstract

The Indonesian government in obtaining Real Time data on MSMEs who are entitled to assistance, accuracy in distributing MSME assistance, and accelerating Indonesia's economic growth through MSMEs, especially the Cirebon Regency area. There are several ways so that cash transfer assistance for micro-scale SMEs from the government is right on target, in this study the authors will use data mining techniques with the k-nearest neighbors method in classifying receiving assistance from SMEs. The data used in this study uses secondary data with attributes of Regency, District, Business Name, Product Name, Business License, Assets and Turnover. The application of the KNN algorithm uses the retrieval operator, cross validation, and in developing the model using the KNN algorithm operator, apply model and performance. The results of the accuracy are 98.46 % with details, namely the Prediction Results are Eligible and it turns out to be true as many as 339 Data. The Prediction Result is Eligible and it turns out to be true Not Eligible as much as 2 Data. Prediction results are not eligible and it turns out to be true as much as 4 data. Prediction results are not eligible and it turns out to be true, 42 data are not eligible. Recommendations for the pattern of knowledge obtained using the K-NN algorithm. Researchers provide recommendations that are feasible to be given assistance for MSMEs as many as 339 MSME participant data spread across the Cirebon district and included in the affected category. Then there are several MSME participants who cannot receive MSME assistance according to the application of the KNN algorithm, which is 42 data, and there are 2 data from participants who are proposed to receive MSME assistance. The hope of the research for participants who receive assistance from the government can survive in conditions like this covid 19
Sistem Informasi Penjualan Motor Bekas Berbasis Android Untuk Meningkatkan Penjualan di Mokascirebon.Com Agis Maulana Robani; Saepul Hadi; Odi Nurdiawan; Gifthera Dwilestari; Nana Suarna
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3629

Abstract

Mokascirebon.com is a trusted showroom in Cirebon for buying and selling second hand motorcycle, where in the business of buying and selling second hand motorcycle, it requires a large amount of capital and must be able to turn in and out of the motorcycle quickly considering that the longer the motorcycle is sold, the price will be decreased, and also if the tax of motorcycle stocks are in due date, it will increase the capital costs which is needed. The length of time a motorcycle has been sold has many factors, including tight business competition, where all of them are competing to increase sales of their second hand motorcycle and also have a system that makes working faster and more precise. From those problems, an idea is emerged to increase the motorcycle sales by increasing the reach of promotional media on the Android platform and creating an Android based computerized system that is able to accelerate the internal work of the company. In designing this application using the waterfall method, where the stages are gathering needs, building and evaluating waterfall, coding, testing, evaluating the system until finally the system can be used. The programming language used is Java and also uses the Android Studio application to create the Android application. The database used is MySQL. The supporting tools used are Photoshop, Corel Draw and the Android Emulator. With this android based second hand motorcycle sales information system to Increase Sales at Mokascirebon.com, it is hoped that it will be able to increase sales of second hand motorcycle and to simplify and accelerate the company's internal work
Implimentasi Sistem Informasi Penjualan Kuota Data Berbasis Android Mochamad Aditya Sunaryo; Ananda Rafly; Gifthera Dwilestari; Ade Irma Purnamasari; Dian Ade Kurnia
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 5 No 2 (2021): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Juni 2021)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (586.634 KB) | DOI: 10.51211/isbi.v5i2.1523

Abstract

Abstrak: Kebutuhan terhadap proses informasi kuota data yang cepat dan akurat diperlukan oleh para wiraswasta / pedagang yang bergerak di bidang penjualan pulsa atau paket data. Biasanya para wiraswasta / pedagang ini akan menjual kuota data mulai dari kartu sampai isi ulang kuota data berupa voucer. Pada sistem penjualan yang sedang berjalan belum terlaksana secara optimal karena informasi masih dilakukan secara langsung kepada pembeli. Hal ini menyebabkan kesulitan bagi para pembeli dalam mendapatkan informasi yang lengkap dan jelas dalam pemilihan pembelian kuota data. Oleh karena itu penulis mencoba merancang Sistem Informasi Penjualan Kuota data berbasis Android, Untuk Proses jalannya sistem aplikasi ini nantinya customer akan melihat informasi mengenai paket kuota data dari CV. JMS CELL yang mempermudah cutomer untuk melakukan pengecekan paket kuota data dan meliat informasi paket kuota data. Metode pengembangan aplikasi yang akan digunakan untuk merancang aplikasi ini adalah metode software development live cycle (SDLC). Metode metode software development live cycle (SDLC) merupakan solusi untuk memecahkan permasalahan yang dihadapi pada perusahaan CV. JMS CELL. Dengan menggunakan sistem Informasi yang selalu update hal ini dapat memuaskan pelanggan dan meningkatkan penjualan di CV. JMS CELL. Sistem yang terkomputerisasi akan lebih baik dari sistem yang manual, karena dapat berjalan lebih efektif dan efisien dengan sistem informasi penjualan berbasis android. Kata kunci: Android, Sistem informasi, Waterfall. Abstract: The need for fast and accurate data quota information processing is required by entrepreneurs / traders who are engaged in selling pulses or data packages. Usually these entrepreneurs / traders will sell data quotas starting from cards to topping up data quota in the form of vouchers. The current sales system has not been implemented optimally because information is still being carried directly to the buyer. This causes difficulties for buyers to obtain complete and clear information in the selection of data quota purchases. Therefore, the author tries to design an Android-based data quota sales information system. For the process of running this application system, the customer will see information about the data quota package from CV. JMS CELL which makes it easier for customers to check data quota packages and view data quota package information. The application development method that will be used to design this application is the software development live cycle (SDLC) method. The method of live cycle software development (SDLC) is a solution to solve the problems faced by the company CV. JMS CELL. By using an information system that is always updated, this can satisfy customers and increase sales at CV. JMS CELL. A computerized system will be better than a manual system, because it can run more effectively and efficiently by creating an Android-based sales information system. Keywords: Android, Information system, Waterfall.
KLASIFIKASI QUALITY OF SERVICE LAYANAN INTERNET MENGGUNAKAN ALGORITMA NAIVE BAYES Cindyk Irawanto; Odi Nurdiawan; Gifthera Dwilestari
Jurnal informasi dan komputer Vol 10 No 2 (2022): Jurnal Sistem Informasi dan Komputer yang terbit pada tahun 2022 pada bulan 10 (
Publisher : STMIK Dian Cipta Cendikia Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v10i2.319

Abstract

Pada era globalisasi, masalah dalam layanan internet menjadi sebuah kebutuhan bagi setiap orang atau setiap perusahaan. Peranan layanan dalam jaringan internet sangat penting bagi setiap lapisan masyarakat bahkan internet sudah menjadi sebuah kebutuhan. Sebagai sarana informasi, komunikasi, media pembelajaran. Begitu pentingnya peranan internet tentu saja berdampak pada layanan guna memastikan kualitas internet apakah stabil atau down. Untuk mengukur layanan internet diperlukan beberapa parameter seperti delay, jitter, packet loss dan kualitas hasil pengukurannya disebut denga Quality of Service (QoS). Maka dibutuhkan bandwidth yang efektif untuk mengoptimalkan penggunaan layanan internet. Karena hal itu dibutuhkan analisa kualitas layanan internet dengan menggunakan QoS (Quality of Service). karena semakin banyak aplikasi yang digunakan dalam suatu jaringan akan berpengaruh pada kualitas layanan internet. Untuk melakukan klasifikasi kualitas layanan internet (Quality of Service) digunakan metode naïve bayes. untuk klasifikasi status layanan internet dengan menggunakan statistik dan probilitas yang mampu mengambil keputusan. Dataset yang digunakan dari QoS dijadikan dengan parameter delay, jitter, packet loss dengan metode Hierarchical Token Bucket (HTB). Klasifikasi Quality of Service Layanan Internet Menggunakan Algoritma Naïve Bayes akan diperoleh hasil berupa Serta mengetahui tingkat akurasi dari metode naïve bayes untuk klasifikasi status kualitas layanan internet (Quality of Service) sebesar 93,67%.
PENERAPAN ALGORITMA K-MEANS UNTUK MENGELOMPOKKAN DATA PENGIRIMAN PAKET DI KANTOR POS CIREBON Aby Febrian; Nana Suarna; Gifthera Dwilestari
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 15 No 1 September 2022
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v15i1.3858

Abstract

Pada era industri sekarang ini perkembangan ekspedisi jasa kirim mengalami peningkatan yang relatif pesat, membuat jalur perdagangan barang maupun bidang jasa menjadi meningkat untuk memenuhi kebutuhan konsumen. Salah satu ekspedisi jasa kirim yaitu PT Pos Indonesia yang merupakan Badan Usaha Milik Negara (BUMN). Kantor Pos Cirebon saat ini mempunyai banyak pesaing diantaranya yaitu JNE,TIKI, Sicepat, dan J&T. Salah satu faktor utama dalam proses pengiriman yaitu dibutuhkan keakuratan dalam mengelompokkan data pengiriman, maka diperlukan proses perhitungan yang tepat, agar dapat mencapai hasil yang akurat. Pada penelitian ini dilakukan proses clustering dengan algoritma K-Means dengan tujuan untuk mendapatkan informasi dari data pengiriman paket yang ada di Kantor Pos Cirebon pada bulan juli 2020 serta memperoleh kelompok terbaik berdasarkan hasil evaluasi DBI. Hasil cluster data pengiriman paket menggunakan algoritma K-means serta dengan perhitungan Davies Bouldin Index nilai yang paling mendekati angka 0 dengan percobaan cluster 2 sampai cluster 10 menghasilkan nilai k terbaik pada cluster 3 yaitu 0.104 dengan jumlah anggota Cluster 0: 414 items, Cluster 1: 280 items, Cluster 2: 6 items.
PENERAPAN ALGORITMA K-MEANS UNTUK MENGELOMPOKKAN DATA PENGIRIMAN PAKET DI KANTOR POS CIREBON Aby Febrian; Nana Suarna; Gifthera Dwilestari
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 15 No 1 September 2022
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v15i1.3858

Abstract

Pada era industri sekarang ini perkembangan ekspedisi jasa kirim mengalami peningkatan yang relatif pesat, membuat jalur perdagangan barang maupun bidang jasa menjadi meningkat untuk memenuhi kebutuhan konsumen. Salah satu ekspedisi jasa kirim yaitu PT Pos Indonesia yang merupakan Badan Usaha Milik Negara (BUMN). Kantor Pos Cirebon saat ini mempunyai banyak pesaing diantaranya yaitu JNE,TIKI, Sicepat, dan J&T. Salah satu faktor utama dalam proses pengiriman yaitu dibutuhkan keakuratan dalam mengelompokkan data pengiriman, maka diperlukan proses perhitungan yang tepat, agar dapat mencapai hasil yang akurat. Pada penelitian ini dilakukan proses clustering dengan algoritma K-Means dengan tujuan untuk mendapatkan informasi dari data pengiriman paket yang ada di Kantor Pos Cirebon pada bulan juli 2020 serta memperoleh kelompok terbaik berdasarkan hasil evaluasi DBI. Hasil cluster data pengiriman paket menggunakan algoritma K-means serta dengan perhitungan Davies Bouldin Index nilai yang paling mendekati angka 0 dengan percobaan cluster 2 sampai cluster 10 menghasilkan nilai k terbaik pada cluster 3 yaitu 0.104 dengan jumlah anggota Cluster 0: 414 items, Cluster 1: 280 items, Cluster 2: 6 items.
RANCANG BANGUN APLIKASI SISTEM INFORMASI PENDATAAN PELAUT BERBASIS WEB Arif Rinaldi Dikananda; Saefullah Fasa; Irfan Ali; Gifthera Dwilestari
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.473

Abstract

PT. Abdi Marine is one of the companies that has not used a web-based information system in the marine data collection section, where the data processing system is still manual. It often happens that seafarers' registration and flight date research takes up a lot of paper and seafarer data storage space, the calculation of the date is less accurate and making reports of incoming and outgoing seafarers' data takes a lot of time. To emphasize and learn in understanding the problems as described, the problem formulation that researchers can explain is to design a computerized marine crew data collection information system, create a database of data services for managers to carry out their work. The purpose of this research is to find out, develop and create an ongoing data collection application system into the PHP and HTML programming language using the MySQL database. So that researchers can draw conclusions in processing sailor crew data collection by implementing applications that have been designed and built in a systematic and structured manner, so that the level of damage in the process of implementing sailor crew data collection can be resolved.
Irvan Himawan PREDIKSI HARGA SAHAM DENGAN ALGORITMA REGRESI LINIER DENGAN RAPIDMINER Irvan Himawan; Odi Nurdiawan; Gifthera Dwilestari
JURSIMA (Jurnal Sistem Informasi dan Manajemen) Vol 10 No 3 (2022): Jursima Vol.10 No.3 Desember 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i3.475

Abstract

Stock investment in the capital market is very important for every company in the world. Stock prices in the capital market move very randomly, the highs and lows of stock prices are influenced by many factors. Therefore, it is necessary to predict the stock price so that it can help investors to see investment prospects in the future. In this study, the prediction of the stock price of BRI Bank with the BBRI stock code will be carried out, using an algorithm, namely Linear Regression on rapid miners. This Linear Regression Algorithm is the best algorithm to use because it is the most complex compared to other algorithms. Based on signaling theory, which are information signals needed by investors, the value of forecasting results that have been obtained can be used to consider investors' decisions that the stock has high or low risk in the future. Based on the theory of risk, this forecasting analysis helps investors to minimize losses. Stock prediction is one of the technical analysis. Stock buying and selling transactions without technicalities are gambling behavior and contain gharar or ambiguity. The impact of not using this technical analysis clearly resulted in transactions containing maisir and gharar which were clearly prohibited. The historical stock data used in the test was obtained from the finance.yahoo.com web page with the category PT. Bank Rakyat Indonesia Tbk, or with the issuer code BBRI shares. What will be used is annual data for the last 5 years in the form of time series accompanied by open, high, low and volume variables as independent variables and close as dependent variables. The algorithm used is multiple linear regression.
Co-Authors Abdul Ajiz Abdul Ajiz, Abdul Abdul Rauf Chaerudin Abdullah Syafii Abdullah Syafii Aby Febrian Ade Irma Purnamasari Ade Irma Purnamasari Ade Kurnia, Dian Ade Rizki Rinaldi Agis Maulana Robani Agung Nugraha agus bahtiar Ahmad Faqih Ahmad Faqih Ahmad Rifa'i Ahmad Zam Zami Aldiani, Dea Alia Cahyani, Cica Alibasyah, Aziz Amal Rois, Moh. Ichlasul Ananda Rafly Andi Suandi Anita Nur Kirana Anwar Musaddad Apriliyani, Ela Arif Rinaldi Dikananda Arifin, Bagas Adam Athhar Hafizha Luthfi Auliya Azmi Afifah, Turfa Bagas Al Haddad Bambang Siswoyo Basysyar, Fadhil Muhammad Caswadi, Caswadi Chaerudin, Chaerudin Cindyk Irawanto Dadang Sudrajat Dea Miftahul Huda Dessy Angelina Destriyanah, Riska Dian Ade Kurnia Dias Bayu Saputra Dienwati Nuris, Nisa Dienwati, Nisa Dikananda, Arif Rinaldi Dikananda, Fatihanursari Dzaffa 'Ulhaq Edi Tohidi Edi Tohidi Eka Permana, Sandy Fadhil Muhammad Basysyar Fadhil Muhammad Basysyar Fajar Fauzan, Muhammad Fajar Maulana Adji, Moh Fajria, Azzahra Moudy Fasa, Saefullah Fathurrohman Fathurrohman Fatihanursari Dikananda Faujia, Agnes Fithrah Ali, Dini Salmiyah Fuadi Ahmad, Cecep Hamonangan, Ryan Haris Abdul Hadi Herdiana, Rulli Hermawan, Bagus Hermawan, Muhammad Andi Hilya Ashfia Nabila Himawan, Irvan Hira Wahyuni Azizah Hoeriah, Dede Hoerunnisa, Anis Iin Iin Solihin Irfan Ali Irfan Ali Irfan Ali, Irfan Irma Agustina Irma Purnamasari, Ade Irvan Himawan Jayawarsa, A.A. Ketut Karimah, Ayu Kaslani Kencana, Junaedi Surya Khoirul Huda, Muhammad Kokom Komariyah Lestari, Anjar Ayuning Martanto . Mar’atun Sholihah, Oliffia Maulana Sidiq, Cecep Mochamad Aditya Sunaryo Muhammad Abdurohman Muhammad Basysyar, Fadhil Mulyawan Mulyawan, Mulyawan Musliyadi, Mar'i Muzaki, Fazri Nana Suarna Nana Suarna Nana Suarna Narasati, Riri Narasati Nining R Nining Rahaningsih Nisa Dieanwati Nuris Nur Amalia Nur Kirana, Anita Nuraini, Asyifa Nurhakim, Bani Nurul Aini, Yuli NURUL HIDAYAH Nurwahidah, Dalilah Odi Nurdiawan Odi Nurdiawan Permana, Sandy Eka Pratama, Denni Prihartono, Willy Puspita Maulana Arumsari R, Nining Raditya Danar Dana Raena Agustin Laeliyah Rahaditya Dasuki Ramdhan, Dadan Ramiro Firjatullah, Federicko Ranu Husna Riyana, Iis Rizki Fauzi, Ahmad Rizqy, Muhammad Enricco Rosmeri Manurung, Agnes Rudi Kurniawan Saeful Anwar Saeful, Agung Saefullah Fasa Saepu Qirom, Dani Saepudin, Asep Saepul Hadi Sagita, Ayu Salsabila, Putri Septiana, Angga Sri Suwartini Suandi, Andi Suarna, Nana Subhiyanto, Fajar Sunana, Heliyanti Suryani Dewi, Ike Susana, Heliyanti Syafi'i Syafi'i Syafi'i, Syafi'i Tati Suprapti Tohidi, Edi Tuti Hartati Umi Hayati Vibrianti, Vera Wahyudin, Edi Wulan Suci, Salwa Yubi Aqsho Ramadhan