p-Index From 2021 - 2026
14.137
P-Index
This Author published in this journals
All Journal Farmaka Jurnal Mahasiswa Farmasi Fakultas Kedokteran dan Ilmu Kesehatan UNTAN PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Indonesian Journal of Pharmaceutical Science and Technology Jurnal Akuntansi dan Pajak Jurnal Pendidikan Informatika dan Sains Jurnal Komtika (Komputasi dan Informatika) ADMINISTRASI PUBLIK SEIKO : Journal of Management & Business Jurnal Surya Masyarakat JURNAL PENDIDIKAN TAMBUSAI Eksis: Jurnal Ilmiah Ekonomi dan Bisnis Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Ensiklopedia of Journal GERVASI: Jurnal Pengabdian kepada Masyarakat Pharmaceutical Journal of Indonesia JAE (Jurnal Akuntansi dan Ekonomi) Jurnal Ilmiah Ekonomi Global Masa Kini JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Abdimas Mahakam Jurnal Review Pendidikan dan Pengajaran (JRPP) Journal of Engineering and Scientific Research (JESR) RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Jurnal Riset Terapan Akuntansi Syntax Idea ad-Dawaa : Journal of Pharmaceutical Sciences Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Surya Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal Revenue : Jurnal Ilmiah Akuntansi Voice Of Midwifery Hubungan Tingkat Pengetahuan Petugas Pengelola Obat dengan Tingkat Ketersediaan Obat Di Puskesmas Kota Malang Jurnal Promotif Preventif Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Jaring SainTek Jurnal Borneo Akcaya : Jurnal Penelitian dan Pengembangan Pelayanan Publik Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat LINEAR: Journal of Mathematics Education Iqtishaduna : Jurnal Ilmiah Mahasiswa Hukum Ekonomi Syariah Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Media Informatika Jurnal Abdimas Ekonomi dan Bisnis JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (JHSSB) Cermin Dunia Kedokteran Jurnal Bina Bangsa Ekonomika Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Journal of Trends Economics and Accounting Research Journal of Fundamental Mathematics and Applications (JFMA) Jurnal Kesehatan Kusuma Husada Pharmaceutical Sciences and Research (PSR) Jurnal Abdimas Musi Charitas Jurnal Manajemen Informatika dan Bisnis Digital Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (JEBMAK) Jurnal Desain dan Analisis Teknologi Realible Accounting Journal JEKSya Jurnal Ekonomi dan Keuangan Syariah International Journal of Information Technology and Computer Science Applications (IJITCSA) Gema Kesehatan Lunggi Journal Journal of Computer Science Contributions (Jucosco) Jurnal Agroteknologi Agribisnis dan Akuakultur ZONA: Jurnal Pengabdian Masyarakat Aktivasi: Jurnal Pemberdayaan Masyarakat Journal of Informatics and Information Security Jurnal Akuntansi RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Journal Pharmacy of Tanjungpura Jurnal Komtika (Komputasi dan Informatika)
Claim Missing Document
Check
Articles

Analisis Perbandingan Metode Autodock 4.2 dan Autodock Vina dalam Memprediksi Interaksi Thiazolidinedione dengan Reseptor PPARG Reynaldi, Muhammad Andre; Faradilla, Aulia; Sari, Rafika; Riza, Hafrizal; Najini, Robby
Ad-Dawaa: Journal of Pharmaceutical Sciences Vol. 7 No. 1 (2024)
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/djps.v7i1.47852

Abstract

Introduction: Molecular docking simulation is an in silico method that plays a role in drug discovery and analyzing drug interactions with receptors. The method using Autodock 4.2 and Autodock Vina is widely used in molecular docking simulations, especially for analyzing interactions that occur between ligands and receptors. Aims: This study was aims to compare the Autodock 4.2 and Autodock Vina methods in simulating the docking of thiazolidinedione against PPARG in terms of bond energy and type of interaction parameters. Methods: The method used in this research was molecular docking simulation using Autodock 4.2 and Autodock Vina. The two methods compared the interaction results and binding affinity scores in the thiazolidinedione group against PPARG. Result: The results of this study show that the interactions using the Autodock 4.2 and Autodock Vina methods have similar amino acids that are bound and the same active site. The binding affinity score also shows that the best are troglitazone, pioglitazone, native ligand and rosiglitazone. Conclusion: Based on the results of this study, it shows that molecular docking simulations using the Autodock 4.2 and Autodock Vina methods thiazolidinedione with PPARG have similar docking score patterns and almost the same types of interactions.
Metode Forward Chaining Pada Sistem Pakar Diagnosa Gangguan Mesin Sepeda Motor Vespa-2-Tak Ahtian, Muzaid; Sari, Rafika
Journal of Students‘ Research in Computer Science Vol. 3 No. 1 (2022): Mei 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/014twx02

Abstract

Motorcycles are a means of transportation that have become a primary need for most urban communities in Indonesia. Apart from being a necessity, it is not uncommon for some people to make motorbikes a hobby. This hobby of motorbikes then raises the need for knowledge of vehicle maintenance. In this study, several problems with vehicles of Vespa-2-Tak will be reviewed that require knowledge for maintenance. The maintenance of existing vehicles in most Vespa-2-Tak vehicle repair shops is still manual. This study initiated the idea to try to implement an expert system application using the forward chaining method to diagnose motorcycle Vespa-2-tak problems. This expert system is implemented in a web-based software application with a waterfall development model. Testing with the black-box testing method obtained good results. Thus, this expert system can help Vespa-2-Tak motorcycle users to find out the disturbance or damage to their vehicle and alternative solutions without having to come directly to the bike shop.
Analisis Sentimen Ulasan Customer Kopi TMLST Menggunakan Algoritma Naïve Bayes Hamidah, Dhiya Azizah; Salkiawati, Ratna; Sari, Rafika
Journal of Students‘ Research in Computer Science Vol. 5 No. 1 (2024): Mei 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/mrm89y71

Abstract

The rapid development of Coffeeshop is currently influenced by advances in internet technology, the existence of online food applications and websites, such as Shopeefood, and Google Maps, can help people place online orders that have no time limit. However, there are problems that arise over time such as, in collecting feedback from customers the more review data available on Google Maps and online food applications, namely Shopeefood. Therefore, a solution is needed that can help TMLST Coffee to collect, process, and analyze feedback from customers on online food applications such as Shopeefood and Google Maps in a better and more structured manner. In this study, retrieving and collecting customer review data was carried out using web scrapping techniques taken through online food applications, namely Shopeefood and Google Maps, but collecting review data was also carried out by distributing questionnaires via google forms filled out by TMLST Coffee customers. Furthermore, the method used in this research is Naïve Bayes which aims as a classification method and is able to classify customer comments into positif or negatif. And review data processing is done using the Cross-Industry Standard Process for Data Mining (CRIPS-DM) method. The CRIPS-DM stage involves the research and implementation process of the stages that have been carried out previously. The results of this study produce a high level of accuracy in predicting positif and negatif sentiment, with an accuracy of 0.82 or 82%. In addition, it produces a positif recall of 0.76 or 76% and a negatif recall of 0.89 or 89%. indicating that the model has a good ability to identify correctly. With the evaluation results of the model used, it gives an indication that Naïve Bayes can be an effective choice in conducting sentiment analysis on TMLST Coffee review data.
Workshop Pengembangan Media Pembelajaran Interaktif Kreatif Dalam Melaksanakan Tri Dharma Perguruan Tinggi Di SMK Widya Nusantara Bekas Herlawati, Herlawati; Khasanah, Fata Nidaul; Sari, Rafika; Atika, Prima Dina; Sugiyatno, Sugiyatno; Handayanto, Rahmadya Trias; Samsiana, Seta
Jurnal Pengabdian kepada Masyarakat UBJ Vol. 5 No. 1 (2022): January 2022
Publisher : Lembaga Penelitian Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/ye8zv507

Abstract

SMK Widya Nusantara is one of the best vocational schools in the city of Bekasi whose students and teachers have the hope of creating independent and characterized people who are based on faith and piety. The main element to be able to realize the hopes of the Vocational High School is that it has collaborated with universities in training activities and improving knowledge from various fields, so that they can compete in the era of globalization. Currently strengthening the competence of students and teachers is the main thing, because later they will be able to compete with other developed countries. To strengthen these competencies, training and simulations on the development of creative interactive learning media were carried out at SMK Widya Nusantara. It begins with a survey, then it is analyzed and finally the training activities are carried out. The result of this community service is that students and teachers are able to understand the creation of creative interactive learning media such as the use of a mentimeter, classroom google, youtube and the use of powerpoint, examples and their application, so that students and teachers have special knowledge about this which is useful for increasing competence and global competition.
CONSTRUCTION OF FUNDAMENTAL THEOREMS OF FRACTIONAL CALCULUS Ramdhania, Khairunnisa Fadhilla; Sari, Rafika; Khalida, Rakhmi; Pratama, Aldira Ryan; Lestari, Nur’aini Puji
Journal of Fundamental Mathematics and Applications (JFMA) Vol 7, No 1 (2024)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jfma.v7i1.19256

Abstract

This paper discusses the theory of derivatives and integrals in the form of fractions with a particular order initiated by Lioville. Specifically, regarding the correlation between fractional derivatives and integrals, by examining definitions, determining the kernel function, and applying them to several examples, so a general formula will be obtained regarding the relationship between the two. This formula is the product of the fractional derivative of an order of a polynomial function of m-degree which is equal to the (n+1) th derivative of the related order fractional integral of a polynomial function of -degree that the truth is proved by using Mathematical Induction.
Efektivitas Edible Coating Spray Gel Lidah Buaya (Aloe vera) dan Daun Sirih (Piper betle) Sebagai Sanitizer Pangan Azmi, Afif Fadhil; Kamil, Insan; Maulidia, Yuninta; Fahiratunnisa, Namira Alifah; Pramita, Julianti; Sari, Rafika
Pharmaceutical Journal of Indonesia Vol. 8 No. 2 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pji.2023.008.02.7

Abstract

Daun sirih dan lidah buaya memiliki sifat antibakteri yang dibuktikan dengan adanya kandungan zat aktif dan senyawa organik lainnya. Aktivitas antibakteri pada kedua tanaman tersebut dipengaruhi oleh adanya metabolit sekunder seperti glukomanan dan fenol yang ada pada lidah buaya serta fenol, saponin dan flavonoid pada daun sirih. Penelitian ini dilakukan untuk mengetahui mekanisme serta aktivitas kombinasi gel lidah buaya dan daun sirih dalam bentuk sediaan edible coating spray sebagai sanitizer pangan. Metode yang digunakan adalah eksperimental murni (true experiment design) in vitro dengan desain rancangan acak lengkap (completely randomized design). Kemudian, untuk menguji kinerja aktivitas antibakteri digunakan metode difusi kertas cakram terhadap bakteri Staphylococcus aureus dan Escherichia coli. Hasil penelitian menunjukkan bahwa terdapat aktivitas penghambatan dari sediaan terhadap kedua bakteri uji. Zona hambat yang paling besar dimiliki oleh sediaan dengan konsentrasi 100% dengan kategori hambat sangat kuat terhadap Escherichia coli dan kategori kuat pada Staphylococcus aureus. Uji one way ANOVA dilanjutkan dengan Post Hoc Test menunjukkan angka signifikan p<0,05 yang merepresentasikan adanya perbedaan bermakna pada kebusukan buah terhadap perlakuan kontrol dengan konsentrasi 100%, sedangkan terhadap perlakuan kontrol dengan konsentrasi 50% dan konsentrasi 30% tidak terdapat perbedaan bermakna. Berdasarkan hasil penelitian ini, maka sediaan dalam bentuk edible coating spray efektif meningkatkan ketahanan pangan di masa pandemi dan mengurangi angka kerugian bagi para petani buah dan sayur.
The Sensitivity of Amphotericin B, Fluconazole, and Flusitosin to Fungal Pathogens Isolated from Wounds of Diabetic Ulcer Patients Sari, Rafika
Pharmaceutical Journal of Indonesia Vol. 7 No. 2 (2022)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pji.2022.007.02.1

Abstract

A diabetic ulcer is a wound caused by infection, ulceration or destruction in people with diabetes mellitus. Mostly, diabetic ulcer found in foot. The purpose of this study was to identify pathogenic fungi in diabetic ulcers and their sensitivity to fungal drugs. The morphological determination of fungal isolates was stained with Lactophenol Cotton Blue. Determination of sensitivity using diffusion discs Kirby Bauer which are classified based on Clinical Laboratory Standard Institute (CLSI) with Amphotericin B, Fluconazole, and Flusitosin. Based on the results of the study found 8 types of pathogenic fungi namely Candida albicans (38.78%), Candida guilliermondii (4.08%), Candida kefyr 10.20%), Candida parapsilosis (10.20%), Fusarium solani (14.29) %), Microsporum audouinii (14.29%), Penicillium sp(2.04%), Trichophyton mentagrophytes (4.08%), and Trichophyton equinum (2.04%). The fungus was identified using Gideon software and the book Description of Medical Fungi. The results of the antifungal sensitivity test showed the results were sensitive to fluconazole. Amphotericin B is intermediate to Candida albicans, Candida guilliermondii, Penicillium sp. and Trichophyton sp. and is resistant to Candida kefyr and Candida parapsilosis. Flusitosin is only an intermediate against Penicillium sp. while other fungal species are immune. The conclusion of this study. The results of diabetic ulcer swabs III and IV indicate the presence of fungal colonies with species of 9 species namely Candida albicans, Candida guilliermondii, Candida kefyr, Candida Parapsilosis, Fusarium solani, Microsporum Audouinii, Penicillium sp., Trichophyton mentagrophytes, and Trichophyton equinum. Antifungal sensitivity tests on all pathogenic fungi showed sensitivity to fluconazole. Amphotericin Bintermediatrics against Candida albicans, Candida guilliermondii, Penicillium sp. and Trichophyton sp. while resistant to Candida kefyrand Candida parapsilosis. Flusitosin is only an intermediate against Penicillium sp. while other fungal species are resistant.
Efektivitas SNEDDS Kombinasi Fraksi Etil Asetat Daun Cengkodok (Melasthoma malabathricum)-Antibiotik terhadap Bakteri Hasil Isolat dari Pasien Ulkus Diabetik Sari, Rafika; Apridamayanti, Pratiwi; Pratiwi, Liza
Pharmaceutical Journal of Indonesia Vol. 7 No. 2 (2022)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pji.2022.007.02.5

Abstract

Diabetic ulcer is a condition where there are neurological abnormalities and peripheral arterial vascular disease that causes infection, ulceration, and/or damage to the deepest skin tissue on the feet of people with diabetes mellitus (DM). The long duration of wound healing is due to the wrong use of antibiotics for a long time, and bacteria tend to become resistant to antibiotics. Antimicrobial compound fraction of cengkodok combined with gentamicin and ciprofloxacin antibiotics for prevention and reduction of antibiotic resistance in the cause of diabetic ulcers. The drug preparation is in the form of self nanoemulsifiying drug delivery system (SNEDDS), which is the optimum combination of cengkodok leaf fraction with gentamicin and ciprofloxacin antibiotics. The use of SNEDDS in this study is because the SNEDDS made from nanoemulsion formulations has small particle size, large surface absorption, and good dispersion, so that it can be evenly dispersed on the skin and penetrates the skin layer. This study aims to determine the effectiveness of the formulation cengkodok leaf fraction with gentamicin and ciprofloxacin antibiotics against B. cereus and S. aureususing the SNEDDS drug delivery system. The test uses the spotless diffusion method without using paper discs. The results showed that the combination of cengkodok leaf fraction with gentamicin and ciprofloxacin antibiotics had better activity against B. cereus and S. aureus than cengkodok leaf fraction, gentamicin and ciprofloxacin only.
Determination of FICI Value of Combination of Ethanol Extract of Aloe Vera (L.) Burm. f. Leaf Peel and Chloramphenicol Against Bacterial Pathogens Sari, Rafika
Pharmaceutical Journal of Indonesia Vol. 9 No. 1 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.pji.2023.009.01.2

Abstract

ABSTRACT The Increasing case of antibiotic resistance encourages a new action that is the combination plant extracts and antibiotics. Aloe vera leaf skin (Aloe vera (L.) Burm f.) contains phenols, flavonoids and anthraquinones that act as antimicrobials. The aim of research is to determine the value of FICI (Fractional Inhibitory Concentration Index) combination of ethanol extract of Aloe vera leaf skin (Aloe vera (L.) Burm f.) and chloramphenicol against pathogenic bacteria. The determination of MIC (Minimum Inhibitory Concentration) value of ethanol extract for Aloe vera leaf skin (Aloe vera (L.) Burm. F.) and chloramphenicol use disc-paper diffusion method. The combination solution is created by a ratio of 1: 1 volumes from the every MIC values. The determination of FICI values ​​was analyzed by descriptive. The combination of Aloe vera leaf skin extract (Aloe vera (L.) Burm. F.) and chloramphenicol are used for Salmonella typhi bacteria which are 12.5mg / ml and 8 μg / ml, and for Bacillus subtilis bacteria is 2.5 mg / ml and 4 μg / ml resulted in inhibit zone 7.77 ± 0.25 and 7.83 ± 0.36. The combination of FICI value is 2 and it has indifference characteristics (not different) when the researcherd compared between single extract and single chloramphenicol. Aloe vera leaf skin ethanol extract (Aloe vera (L.) Burm. f.) and chloramphenicol may inhibit the growth of Salmonella typhi and Bacillus subtilis bacteria and both of the combinations show indifference characteristics of FICI 2 values. Keywords: FICI, Aloe Vera, Antibacterial, Chloramphenicol
Perancangan Aplikasi E-Commerce Toko CibitungSecond Berbasis Website Pratama, Satrio Aji; Sari, Rafika
Jurnal Jaring SainTek Vol. 5 No. 2 (2023): oktober 2023
Publisher : Fakultas Teknik, Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/c5ncca28

Abstract

Competition in the clothing sales business in the city of Bekasi is getting tougher. CibitungSecond is a clothing store located in the city of Bekasi. The sales system mechanism at this store still uses a conventional system, where customers must come directly to the store. With the E-Commerce website at the CibitungSecond store, it is hoped that it will make it easier for customers to purchase products without having to come to the place, as well as expand marketing and develop customer loyalty. This shop was developed with software used to design and design E- Commerce websites, namely the PHP programming language, text editor, MySQL database. This website can also generate information on products that are sold, as well as provide reports aimed at store admins such as product reports, customer reports, order reports, and sales reports.
Co-Authors Abdillah, Sabiq Abrar Hiswara Achmad H., Andy Adesta, Fillah Akhyar Rezqi Adi Muhajirin Adjar, Dinda Dwi Puspita Agati DJ, Sharlen Taurisya Agnes Sri Harti Ahmad Wildan Ahtian, Muzaid Aida Fitriyani Aida Fitriyani, Aida Aisyah Warsid Ajif Yunizar Pratama Yusuf Al-hamaz, Milda Nabilah Alexander, Allan D Almanda, Almanda Ana Hanapi Anapri, Lutfi Andani, Herlin Anggraini, Leriza Desitama Angraini, Femi Aprilianti Maharani Ardan, Raditia Muhammad Ardha Maliki Arifin, Muhammad Khoirul Aris Munandar As-Sanaj, Tyathanesia Dianfitri Ashardi, Muhammad Asni Amin Asyifa, Fatimah Nur Ayu, Visca Anindha Aziatul Febrian, Reny Aziatul Pebriani, Reny Azmi Mutawalli, Khoirul Azmi, Afif Fadhil Azzahra, Mutia A’lana, Lu’lu’ Bambang WIJIANTO Bowono, Prayuda Budi Mulyono Cahya, Nilam cahyani, dwi sinta Chyrza Adhea Salsabila Dahniar Dahniar Danu, Julian Firman Desitama Anggraini, Leriza Eka Nursafitri Eki Ayu Safitri Elfri Kartini Hutabarat Elsa Susanti Elvangga, Kelvin Ema Damayanti Endah Dewi Purnamasari Endang Retnoningsih Fahiratunnisa, Namira Alifah Fahrial, Fahrial Fajriaty, Inarah Faradilla, Aulia Fata Nidaul Khasanah Fatia, Yiyi Fatimah, Alida Zia Fatimah, Hervina Rahmawati Febrianti, Dwi Andini Fedorova, Oxana Ferdinan, Ade Fiorentina, Yulia Firdaus, Muhammad Zafira Firdaus, Tiara Fitri, Diah Angraina Freolina, Putri Shanny Gita Widyawati Hafrizal Riza, Hafrizal Hamdan Sayadi, Muhammad Hamidah, Dhiya Azizah Hanapi, Ana Harahap, Masriana Hegryselia, Hegryselia Helmy, Nur Hendarmin , Rum Hendarmin, Rum Hendharsetiawan, Andy Achmad Herlawati Herlawati Hermansyah Hermansyah Hidayatullah, M.Ridho Husnul Hotimah Hutagaluh, Oscar Idaul Hasanah Inne Miftah Dewi Intan Sari A Ira Wikartika, Ira Irwanda, Eko Izza Della Nur Rizki Joniwarta Juhanda Kamil, Insan Kgs. M. Nurkholis Khairunnisa Azani Meilinasary Khairunnisa Azani Meilinasary, Khairunnisa Azani Khalida, Rakhmi Khoirotunnisa, Fani Kusdarnowo, Kusdarnowo Lastria, Lastria Lesi Hertati, Lesi Lestari, Nur’aini Puji Lia Deslianri, Lia Lili Syafitri, Lili Lisa Adhani Liza Pratiwi Lubis, Hendarman Lubis, Nuraina Fika Lukita Tripermata M. Syahrul Manullang, Nathasya Grisella Marhamah, Faila Sufa Maulana, Rifqi Maulidia, Yuninta Maulidin, Juani Khuswara Mayadi, Mayadi Meilin Veronica Meiriasari, Vhika Meryansumayeka Meryansumayeka Mochammad Afif Kurniawan Mugiarso Muhammad Andre Reynaldi Muhammad Bahrul Ulum Muhammad Faris, Muhammad Muhammad Hamdan Sayadi Muhammad Saleh Muhammad Wadud Muhani, Mutiara Mukhlis Mukhlis Mutiara, Mega Muzakki, Muhammad Rafi Naim, Awaluddin Najib, Akmal Najini, Robby Nasruddin Nasruddin Nia Purnama Ningsih Ningrum, Citra Urba Nirwan Nirwan Novarizal, Safarin Novianti, Veni Novita Sari Nuansyah, Bayu Dwimas Nur Kholis NURUL AZIZAH Octaviani, Melly Pebriani, Reny Aziatul Periselo, Helen Prabandari, Rosiana Disiati Pramita, Julianti Pramitha, Ayu Pranoto, Imam Aji Prasetiawati, Fisca Ardi Prastio, Ivan Pratama Lumban Tobing, Yoga Pratama, Aldira Ryan Pratama, Maulana Rifqi Pratama, Muhamad Daffa Ghulam Pratama, Satrio Aji Pratiwi Apridamayanti Pratiwi Apridamayanti, Pratiwi Prima Dina Atika Puspita Sari, Ranti Puspita, Indira Diah Putra, Mgs Prima Darma Putra, Mgs. Prima Darma Putra, Munasri Ade Putra, Prima Darma Putri Aisyah Putri Shanny Freolina Putri, Andini Utari Putri, Raina Andriani Rafina Rafina Rahmadya Trias Handayanto Ramdhania, Khairunnisa Fadhilla Rasim Ratna Salkiawati Ratna Sari Ratu, Mutiara Kemala Raynaldi, Marinus Andre Reny Aziatul Febrian Rianita Rifadli, Syahril Risda Waris, Risda Rivano, Muhammad Fathir Rizki Robiyanto Robiyanto, Robiyanto Sabillah, Izzah Safdar, Muhammad Safrina, Nina Salsabila, Dio Ivanca Saputro, Sunu Febrian Eko Sari, Chrecencya Nirmalarum Sari, Mei Sastrawati, Nila Selviani, Rika Dara Semmagga, Nuraeni Seta Samsiana Setiawan, Dwi Adi Sibarani, Steven Arrow Rinel Silfiana, Andi Silvia, Yuni Siti Nani Nurbaeti SITI SETIAWATI SRI RAHAYU Subarkah Subarkah Sugiyatno Sugiyatno Sulhan Faiz Susanti, Ressi Susilawati, Susilawati Suyati - Sylvia Utami Tunjung Pratiwi Tampubolon, Enggal Marito Yuliarti Tien Yustini, Tien Tri Ginanjar Laksana Tripermata, Lukita Tyastuti Sri Lestari Umam, Ibni Khoerul uray rima triyanita Uswatun Hasanah Utari K Vegathree, Chandrika Raveena Veronica, Meilin veronica, Vera Wardian, Simon Wijaya, Indra Winda A. K. Winny Andarilla Wirdayanti Yaddarabullah, Yaddarabullah Yani, Resti Yevi Dwitayanti Yosi Bayu Murti Yuniarti, Desi Yusnaini, Tien Zahra, Diran Nandita Zikri, Tan Muhamad Zulkardi