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All Journal Jurnal Ilmiah Informatika Komputer Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Bulletin of Electrical Engineering and Informatics JEJAK Jurnal Natapraja : Kajian Ilmu Administrasi Negara Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Jurnal Borneo Administrator: Media Pengembangan Paradigma dan Inovasi Sistem Administrasi Negara Sinergi Jurnal Informatika dan Teknik Elektro Terapan ELINVO (Electronics, Informatics, and Vocational Education) CESS (Journal of Computer Engineering, System and Science) Jurnal Keperawatan Sriwijaya Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran Jurnal Riset Fisika Edukasi dan Sains JISPO (Jurnal Ilmu Sosial dan Ilmu Politik) Jurnal Informatika Jurnal Inovasi Bisnis (Inovbiz) Jurnal Rekayasa Material, Manufaktur & Energi Jusikom : Jurnal Sistem Komputer Musirawas Pendas : Jurnah Ilmiah Pendidikan Dasar Sebatik Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Teknologi Informasi MURA Jurnal EDUTECH Undiksha Jesya (Jurnal Ekonomi dan Ekonomi Syariah) YUME : Journal of Management MEDIA INFORMASI Transparansi Jurnal Ilmiah Ilmu Administrasi Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Applied Technology and Computing Science Journal Jurnal Doktor Manajemen (JDM) EAJ (ECONOMICS AND ACCOUNTING JOURNAL) JURNAL LENTERA BISNIS Jurnal Ilmiah Edunomika (JIE) JATI (Jurnal Mahasiswa Teknik Informatika) JURNAL PENELITIAN PERAWAT PROFESIONAL Journal of Telenursing (JOTING) JIKA (Jurnal Informatika) Jurnal Trias Politika JEKPEND Jurnal Ekonomi dan Pendidikan Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Industri Terintegrasi (JUTIN) Indonesian Journal of Global Health research JOINT (Journal of Information Technology Jurnal Teknik Informatika (JUTIF) International Journal Of Science, Technology & Management (IJSTM) Asia-Pacific Journal of Public Policy Educative Sportive Jurnal Optimasi Teknik Industri (JOTI) TEACHING : Jurnal Inovasi Keguruan dan Ilmu Pendidikan IJORER : International Journal of Recent Educational Research Bulletin of Computer Science Research Journal of Informatics Management and Information Technology Narra J KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Bisnis dan Manajemen (JBM) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Conten : Computer and Network Technology INDOGENIUS Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Akuntansi AKUNESA Journal of Management and Digital Business Dinamika Jurnal Administrasi Bisnis Jurnal VNUS (Vocational Nursing Science) Journal of Indonesian Economy and Business TSAQIFA NUSANTARA: Jurnal Pembelajaran dan Isu-Isu Sosial Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Innovative: Journal Of Social Science Research TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Indo-Fintech Intellectuals: Journal of Economics and Business Jurnal REP (Riset Ekonomi Pembangunan) Influence: International Journal of Science Review Coreid Journal Jurnal Informatika Polinema (JIP) Jurnal Informatika: Jurnal Pengembangan IT Jurnal Sistem Informasi dan Manajemen Jurnal Software Engineering and Computational Intelligence Prosiding Seminar Nasional Unimus Jurnal Polimesin E-Amal: Jurnal Pengabdian Kepada Masyarakat EKOBIMA Ekonomi Bisnis dan Manajemen SISFOTENIKA Informasi interaktif : jurnal informatika dan teknologi informasi Journal of Economic and Bussiness Retail Ekliptika: Jurnal Inovasi Teknologi Berkelanjutan Assyfa Journal of Farming and Agriculture Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal UNIV.BI MENGABDI
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The Impact of Image Pre-processing for Tuberculosis Prediction System Based on Chest X-ray Images Kurniawan, Rudi; Badriyah, Tessy; Apriandy, Kevin Ilham; Syarif, Iwan
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 4 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i4.9086

Abstract

With the rapid development of automated detection system using deep learning techniques on Chest X-ray (CXR) image datasets to the subjective assessment performed by healthcare professionals. Preprocessing is critical in medical image analysis as it helps highlight important anatomical features while suppressing irrelevant information, thus enabling the model to focus on meaningful patterns. In this paper, we investigate the impact of image preprocessing techniques on the performance of a tuberculosis prediction system based on CXR images using a deep learning approach. We used the “Tuberculosis Chest X-rays (Shenzhen)” dataset, which contains 1,344 CXR images (672 TB cases and 672 normal cases). We propose a five-step preprocessing pipeline consisting of resizing, heavy sharpen filtering, CLAHE (Contrast Limited Adaptive Histogram Equalization), horizontal flip augmentation, and data normalization. The findings indicate that the model utilising preprocessing markedly surpasses the one lacking it, attaining an accuracy, precision, recall, and F1-score of 71%, in contrast to 51%, 50%, 50%, and 36% without preprocessing, respectively.  This study enhances the existing research on the application of deep learning in medical diagnostics and emphasises the significance of preprocessing for attaining dependable, high-performance systems.
Sentiment Analysis of Google Play Store User Reviews on Digital Population Identity App Using K-Nearest Neighbors Kurniawan, Rudi; Wijaya, Harma Oktafia Lingga; Aprisusanti, Rani Purnama
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2071

Abstract

The Digital Population Identity Application provides convenience for users to access and manage their population data digitally. Based on the increasing usage of the Digital Population Identity Application on the Google Play Store, various user reviews of the application have emerged. Therefore, sentiment analysis is needed to provide a deeper understanding of user perceptions and to classify user reviews of the Digital Population Identity Application. Sentiment analysis is a computational study of opinions, feelings, and emotions expressed in text, using the K-Nearest Neighbors method, which is a classification method based on the closest distance or similarity to objects in the training data. Using 5000 relevant review data from September 2022 to December 2023, after labeling them into positive, negative, and neutral sentiment classes, the results show 3581 negative sentiments, 1031 positive sentiments, and 388 neutral sentiments. Testing was conducted by applying the K-Nearest Neighbors method in the classification stage, testing this method by varying K values from 1 to 10. The best results were obtained with a training data ratio of 90% to testing data ratio of 10%. The best results were achieved at K values of 8, 9, and 10, with an accuracy of 81%, precision of 82%, recall of 95%, and an F1-Score of 88%. With a training data ratio of 70% to testing data ratio of 30%, the best results were obtained at K values of 6, 7, 8, 9, and 10, with an accuracy of 80%, precision of 81%, recall of 95%, and an F1-Score of 88%. Based on the results of this research, the K-Nearest Neighbors method can be used for sentiment classification of user reviews with good results.
Model Pemasaran Inklusif Berbasis Kearifan Lokal untuk Memperkuat Kedaulatan Pangan dan Meningkatkan Ekonomi Masyarakat Pulau Pahawang Prikurnia, Anas Khair; Kurniawan, Rudi
Jurnal Doktor Manajemen (JDM) Vol 8, No 2 (2025): SEPTEMBER 2025
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jdm.v8i2.34583

Abstract

This study examines the development of an inclusive marketing model based on local wisdom to strengthen food sovereignty and enhance the economic resilience of communities in Pahawang Island, Lampung. The research uses mixed methods with explanatory survey design, combining qualitative and quantitative data. Primary data were collected through in-depth interviews, participatory observations, and structured surveys involving local residents, tourists, and small business actors. Quantitative analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM) to identify relationships among variables influencing the success of inclusive marketing strategies. The results reveal that limited market access, capital, and managerial capacity are key challenges for local enterprises. Integration of local cultural values into marketing strategies significantly improves product competitiveness and strengthens food sovereignty. The findings of this study suggest that a context-specific inclusive marketing model can effectively empower coastal communities, promote sustainable tourism, and support community-based economic development. This model offers practical insights for policymakers, tourism managers, and small businesses in designing marketing strategies that are both inclusive and locally grounded.
Optimalization of Grouping Models on Sales Transaction Data in the Josi.Id Store Using the K-Means Algorithm Dayanti, Resda; Kurniawan, Rudi; Suprapti, Tati
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 1 (2025): Volume 6 Number 1 March 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i1.21

Abstract

This study aims to optimize the K-Means algorithm to improve the clustering model of fashion goods sales transaction data at the josi.id store over a period of seven months. One of the main challenges is the lack of understanding of the characteristics of sales transaction data at the josi.id store, as well as the difficulty in identifying products that cause spikes on big days. With the K-Means clustering method used to group data, the optimal K value, attributes that affect the Davies Bouldin index (DBI) value. The analysis of the results shows that the key attribute that affects the k value is the TYPE OF ITEM with K = 3 as the optimal value, has the lowest DBI value of 0.258 compared to other cluster configurations. With the characteristics of cluster 0 (429 items) showing dominant sales during the Eid season. Cluster 1 (343 items) shows high sales during the holiday period. Cluster 2 (309 items) has stable sales during weekdays. These results show good separation and uniformity of clusters in each cluster. The attribute of ITEM TYPE, based on the characteristics of each cluster is Bracket clothes products show the highest total sales of up to 7 million, supported by traffic (love feature) that is often viewed. Blouses have total sales of under 2 million, while dresses show great variation with total sales between 1 and more than 3 million. Skirts have a more diverse sales distribution, with transactions reaching 3 million. which includes categories such as Dresses, bracket clothes, Tops, and Skirts, plays an important role in grouping sales transaction data, especially for seasonal products such as during Eid.
Pengelompokan Responsivitas Hasil Kuesioner terhadap Penggunaan Perpustakaan Digital Menggunakan Algoritma K-Means Kusuma, Fujianti; Kurniawan, Rudi
Jurnal Informatika Polinema Vol. 10 No. 2 (2024): Vol 10 No 2 (2024)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v10i2.4850

Abstract

Perpustakaan Digital telah menjadi bagian integral dalam pelayanan informasi di lembaga pendidikan tinggi, belum diketahuinya tingkat responsivitas Perpustakaan Digital menjadi masalah terkait karena sulit untuk menentukan dan mengidentifikasi evaluasi dan strategi perbaikan kedepan untuk memahami persepsi pengguna terhadap layanan yang disediakan. Penelitian ini bertujuan untuk mengidentifikasi dan mengelompokkan tingkat responsif pengguna terhadap layanan perpustakaan digital di STMIK IKMI Cirebon. Metode pengelompokan yang digunakan adalah algoritma K-Means untuk menganalisis hasil kuesioner yang mengevaluasi persepsi dan kepuasan pengguna terhadap berbagai aspek perpustakaan digital. Kuesioner dirancang tiga (3) parameter utama yang terdiri dari efektivitas, efisiensi, dan tingkat kepuasan pengguna (user experience). Hasil Clustering menunjukan Tiga kelompok utama, yaitu Cluster P1, P2, dan P3, diidentifikasi berdasarkan atribut yang berbeda. Cluster P1, dengan atribut X1, X2, dan X3, menunjukkan nilai jarak rata-rata antar centroid yang rendah (1.101) dan Davies Bouldin Index (DBI) yang rendah (0.841), menandakan tingkat kohesi dan pemisahan yang baik di antara anggota kelompok ini. Sementara Cluster P2 (dengan atribut Y1, Y2, Y3, dan Y4) menunjukkan nilai jarak antar centroid yang lebih tinggi (2.670) dan DBI yang lebih tinggi (1.285). mengindikasikan adanya sejumlah overlapping antar cluster atau pemisahan yang kurang optimal, terutama bila dibandingkan dengan Cluster P1.
Pendekatan Preventif Maintenance Mesin Conveyor PT. XYZ Guna Menjaga Kinerja Conveyor Ducha, Moh Syamsi; Kurniawan, Rudi
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 4 (2025): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i4.46673

Abstract

PT XYZ is a company engaged in the field of packaged drinking water (AMDK). The system used in this company has a very good system, aimed at meeting consumer demand. The implementation of preventive conveyors is very important to maintain the performance and reliability of the conveyor system in the long term. By taking preventive measures regularly, we can avoid damage and disruptions that can stop production or cause high repair costs. Through preventive maintenance, we can ensure that conveyor components continue to function optimally, reduce the risk of failure, and extend the life of the equipment. Preventive Maintenance is a maintenance and care activity carried out to prevent unexpected damage and find conditions or conditions of the conveyor that are damaged when used.
INFLATION IN THE DIGITAL PAYMENT ERA: THE MODERATING EFFECT OF E-MONEY TRANSACTIONS IN INDONESIA Kurniawan, Rudi; Purusa, Nanda Adhi; Chasanah, Amalia Nur; Riyanto, Fery
Jurnal REP (Riset Ekonomi Pembangunan) Vol. 10 No. 2 (2025): October 2025
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/rep.v10i2.2944

Abstract

As the use of digital payment systems through e-money increases, inflation control requires a measurable monetary policy mechanism. This study aims to examine the effect of the money supply on the inflation rate and measure the moderating role of e-money transactions. This study employs a quantitative method using time series data for the period from January 2018 to March 2025, resulting in a total of 87 months. Data analysis uses simple linear regression and the Moderated Regression Analysis (MRA) absolute difference test to test the moderating effect of e-money transactions. The results of this study indicate that there is no significant effect between the money supply and the inflation rate. However, the moderating role of e-money transactions can significantly strengthen the relationship between the money supply and the inflation rate. This finding suggests that the monetary policy mechanism should consider technological developments that can impact the payment system, thereby providing a basis for more accurate decision-making.
The Implications of Dividend Policy, Debt Policy, and Institutional Ownership on the Firm Value of Banking Companies Salsabila, Denaya Bethary; Setyahuni, Suhita Whini; Prawitasari, Dian; Kurniawan, Rudi
EAJ (Economic and Accounting Journal) Vol. 8 No. 2 (2025): EAJ (Economics and Accounting Journal)
Publisher : Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/eaj.v8i2.y2025.p134-147

Abstract

This study aims to evaluate the impact of dividend policy (DPR), debt policy (DER), and institutional ownership (KI) on firm value in 45 banking companies listed on the Indonesia Stock Exchange during the 2018–2023 period. Using a quantitative research method, panel data regression analysis was applied to identify the relationships between these variables. The research findings indicate that, overall, dividend policy, debt policy, and institutional ownership significantly influence firm value. This is demonstrated by an R-squared value of 0.760, meaning that 76% of the variation in firm value can be explained by these variables. More specifically, dividend policy (DPR) and institutional ownership (KI) have a significant positive effect on firm value, while debt policy (DER) also has a positive impact, though with slightly lower significance. These findings align with the signaling theory, which suggests that a stable dividend policy and high institutional ownership provide positive signals to investors regarding the company’s financial prospects and corporate governance quality. Additionally, from the perspective of agency theory, debt policy serves as a control mechanism that encourages management to use funds more efficiently, while institutional ownership strengthens oversight of managerial decision-making. Thus, this study provides valuable insights for investors and companies in formulating strategies to enhance shareholder value and market confidence.
The Effect of Implementing Self-Management Education for Patients with Diabetes Mellitus in Controlling Blood Glucose Levels Kurniawan, Rudi; Waluyo, Endrian Mulyadi Justitia; Srinayanti, Yanti; Yunitri, Ninik; Anwar, Syamsul; Herlinah, Lily
Indonesian Journal of Global Health Research Vol 6 No 3 (2024): Indonesian Journal of Global Health Research
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v6i3.3167

Abstract

With the increasing prevalence of diabetes mellitus, patient self-management education is an important concern. The aim of this study was to determine the effect of community-based self-management education on blood glucose levels in patients with diabetes mellitus. Method this study used a quasi-experimental design through a group pre-test and post-test design. The sampling technique was through convenience sampling, which amounted to 31 respondents. Data analysis includes univariate analysis, namely analysis of demographic data, and bivariate analysis to determine the effect of self-management education on lowering blood glucose levels using paired sample t-test. The results of the paired simple t-test with p-value <0.05 showed that there was a significant effect of self-management education on reducing blood glucose levels, knowledge level, behavior, visits to health facilities and medication adherence. However, there was no effect of self-management education on BMI. Conclusion Community-based self-management education has a significant effect on reducing blood glucose levels in patients with diabetes mellitus in the Ciamis Health Center working area.
ANALISIS KINERJA KEUANGAN PEMERINTAHAN PROVINSI JAWA TENGAH TAHUN ANGGARAN 2019-2022 Berizky, Kekieta Gustie; Kurniawan, Rudi
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 8 No 1 (2024): Edisi Januari - April 2024
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v8i1.3662

Abstract

Berdasarkan masalah pokok yang ada di temukan yaitu bagaimana kinerja keuangan BPKAD Provinsi Jawa Tengah terhadap tingkat kemandirian dan tingkat ketergantungan provinsi Jawa tengah atas bantuan keuangan dari pemerintah pusat. Jadi tujuan penelitian ini adalah bertujuan untuk menganalisis kinerja keuangan pada Badan Pengelolaan Keuangan dan Aset Daerah (BPKAD) Provinsi Jawa Tengah selama tiga tahun terahir (2019-2022).Penelitian ini menggunakan Pendekatan Teknik data deskriptif yaitu dengan cara melakukan perhitungan terhadap perhitungan analisis data kuantitatif. keuangan yang diperoleh guna menyelesaikan dan menyelesaikan masalah yang ada sesuai dengan tujuan penelitian. dimana variabel Y yaitu kinerja keuangan Provinsi Jawa Tengah dimana kinerja keuangan pemerintah provinsi jawa Tengah dalam mengelola keungannya secara seccra efektif, efisien, akuntabel, dan tranparan. Kinerja keuangan yang ada di variabel Y akan diukur dengan beberapa variabel X yaitu rasio- rasio yang dipakai untuk mengukur kinerja keuangan Provinsi Jawa Tengah yaitu rasio kemandirian keuangan, rasio efektifitas PAD, rasio efisiensi, Rasio keserasihan.
Co-Authors A.A. Gede Agung Abdul Ghani, Raihan Abdul Latif Abdul Razak Munir Abdussamad . Adawiyah , Rabiatul Adinda Maharani, Azahra Aditia Putra Pranjaya Aditya Nugroho Adriani, Weni Yunisa Agni, Vega Putra Dwi Agung Pranata AGUNG SEDAYU Agustin, Maulina Aisy, Rahadatul Aktavera, Beni Alfirda Sofyan, Zahra Ali, Luthfi Gosan Alif Prayudha, Bimo Amalia Nur Chasanah Amaliah, Novi An-naziz Safaat, Wafik Ananda, Seprian Haris Andini, Selvi Andriani, Meri Andriyani, Wini Anggraeni, Anggi Annisa Desty Puspatriani Ansori, Ilman APRIANDY, KEVIN ILHAM Aprianto, Wili Aprisusanti, Rani Purnama Aribah, Firyal Arief Rachman Arip Budiman, Arip Armanda, Dicky Armanto, Armanto Aruni , Fidhia Aruni, Fidhia Arya Rudi Nasution asep gunawan Asmarani, Sri Utami Atun Farihatun Avin Maulana, M. Ayu Endang Purwati Ayulinda, Arianisah P. Baehaqi Bara Zaretta Belli Nasution Berizky, Kekieta Gustie Bimastari Aviani, Tri Hasanah Chulyatunni’mah D.A, Dyah Kuntorini Dadan Suhendar, Asep Darma Irawan, Bobi Darussalam, Luthvi Nurfauzi Daulay, Nelly Khairaini Dayanti, Resda Dermawan, Hibrizi Dzaky Dewiyana, Dewiyana Dheri Febiyani Lestari Diana Puspitasari Diana Sari, Deuis Ducha, Moh Syamsi Dwi Budi Santoso Elmayati, Elmayati Enik Sulistyowati Enik, Enik Sulistyowati Ernawati Ernawati Esti Andarini ETI KURNIAWATI Fahmi Wardhani, Masitha Fajar Ramadhan, Fajar Falih, Alfi Rizqi Falih Fanny Rifqi El Fuad, Fanny Rifqi Fauzan . Febrianur Ibnu Fitroh Sukono Putra Ferrina Ermalina Rumbik, Ferrina Ermalina Rumbik Fery Riyanto Firmansyah, Andan Fitriani Fitriani Fitriyani, Ida Fonna, Syarizal Frans Sudirjo Gapatra, Reja Gilang Ramadhan Ginting, Helmina Br. Gunawan Romadon, Haris Haminangan, Ryan Hanifatul Lutfiah, Hanifatul Lutfiah Harapan Harapan Hayati, Umi Heni Marliany Henri Setiawan Herdiana, Ruli Herwantono, Herwantono Hidayat, Asep Toyib Hidayat, Muhamad Taufiq Hidayat, Peri Hidayat, Zaids Syarif Hutabarat, Auro Osti Berliana I Made Tegeh Ichsan Ichsan Ida Farida Iis Riyana Ikhwan Fahruddin, Yusuf Ikramullah, Ikramullah Ima Sukmawati, Ima Inawati, Windi Indriastuti, Marlina Intan, Bunga Irfan Ali, Irfan Irma Purnamasari, Ade Islamiatik, Fena Ayu Ismail Ismail iwan Syarif j.ezugwu, umezurike Jahroh, Nurdiatul Jannah, Zahratul Jayawarsa, A.A. Ketut Junaidi Junaidi Kamil, Qatrunnada Khairani Daulay, Nelly Komala, Wulan Kristianti, Veronica Ernita Kurniadi, Yudi Kurniawan, Efik Kusman Ibrahim Kusuma, Fujianti Kusumawaty, Jajuk Lilian Lilian Lily Herlinah Linda Oktavianingsih Lingga Wijaya, Harma Oktafia Lorentiana Wijayanti, Rima M Rusdi M. Azka Kesuma Wardana Ma’sum, Hadiansyah Maelani, Imelda Maeyzhal, Fanya Maimun Syukri, Maimun Makhfud Syawaludin Manzis, Zian Masru’ah, Iim Imas MJW, Endrian Mohamad, Fatma Susilawati Monica, Intan Muangsal Mubarok, Khoirul Mudatsir Mudatsir Muhamad Chairul Basrun Umanailo Muhammad Muhammad Muhsin Muhsin Mujib, Miftachul Muktar, Muktar Mulyawan, Mulyawan Mustikasari, Julia Arum Mustofa Bisri, Mu'ammar Nana Herdiana Abdurrahman, Nana Herdiana Ningtias, Restika Puspa NOVIANTI, ELIS Noviati, Elis Novilia, Fitri Nur Amalia, Yustika Nur Hamidah, Nur Nur Hidayat Nurapandi, Adi Nurazijah, Wulan Nurbaiti, Seni Nurholipah, Titin Nurmalawati, Nurmalawati Nurmasyahyati Nurmasyahyati, Nurmasyahyati Nurul Huda Nurul Kamaly Nuryaman, Maman Odi Nurdiawan Okke Rosmala Dewi Oktafia Lingga Wijaya, Harma Oktavia, Vicky Pamungkas, Angling Sadewo Aji Pratama, Annisa Salsabilah Pratama, Vishal Indu Prawitasari, Dian Prikurnia, Anas Khair Purusa, Nanda Adhi Purwo Suwignyo Putri ayu, Putri Ayu Dara Sekarwangi Putri, Widia Raden Mohamad Herdian Bhakti Rafila, Amal Julio Rafles Ginting Rahayu, Anisa Dinda Rahmad Nuthihar Rahmadiawan, Dieter Rahman Sahputra, Rizky Rahman, Sakilah Ramadhan, Teddy Muhammad Ramdani, Pajar Raudotul Janah, Fina Regina Regina Revita Yanuarsari Ria Kurniawati Rifaai Alldi Ananda, Muhamad Rifatul Khasanah, Rifatul Khasanah Rizki Ani, Fitri Rizki, Fido Rizqi, A Faisal Maulana Rocky Putra A Rohman, Idan Saepul Rusdiyanto Sabilla, Raissa Sadiyyah, Putri Aisyatus Saeful Anwar, Saeful Safitri, Maria Safrida Safrida Safrida Safrida, Nila Saiful Bahri Salma Munada, Mutiara Salsabila, Denaya Bethary Samsul Anwar Samsuryadi Samsuryadi Sandi, Yudisa Diaz Lutfi Sandova, Firdaus Sanjaya, Handika Sari Rusmita Sari, Wisdalia Maya Sasabone, Luana Savero, Raihan Vito Savira Uswatun Khasanah, Savira Uswatun Khasanah Septian Nugraha, Titan Setiani, Tia Shalihah, Ghina Sholeha, Mia Sintaningrum, Picantia Bunga Siti Nurhamidah, Lena Situmeang, Alona sobri, ahmad Sofyan, Sarwo E. Sofyan, Verra Rosyalia Widia Sormin, Rahma Diani Srinayanti, Yanti Sugiyono . Suhanda Suhanda Suhita Whini Setyahuni Sumiarsih, Mia Sunardi, Lukman Supratati, Tati Suprihartini, Yayuk Suryana, Tatang Suryawijaya, Tito Wira Eka Susana, Heliyanti Susilawati Mohamad, Fatma Sutisna, Asep Syach Putra, Yanuar Syafruddin, Muhammad Andri Syahrial Sidik Syamsul Anwar, Syamsul Syifaul Huzni Taryana Taryana, Taryana Tati Suprapti Taufik Hidayat Tedjo Darmanto Tedjo Darmanto Tessy Badriyah, Tessy Tito Aditya Perdana Triswanto, Triswanto Usmiyatun Usmiyatun Vincent Didiek Wiet Aryanto Vitriyan Espa Wabula, Abdul Latif Wahyudi Wahyudi Wahyunisari, Nina Waluyo, Endrian Mulyadi Justitia Wardana, Affan Hanafi Wibowo, Mochammad Eric Suryakencana Widianto, Fuad Hassan Widiawati, Fitri Wijaya, Yudhistira Wijaya, Yudhitira Arie Winayah, Winayah Yantiana, Nella Yeni Puspitasari Yudhistira Arie Wijaya Yudi Setia Rachmanda yulani, Yulani - Yulia, Yuli Yunitri, Ninik Yusnawati, Yusnawati Yusuf Sidiq, Yusuf Sidiq Zahara, Ana Zahrul Fuadi Zakaria, Fakhmi Zulius, Antoni