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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Prosiding SNATIF JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Annual Research Seminar JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab BAREKENG: Jurnal Ilmu Matematika dan Terapan JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) INTECOMS: Journal of Information Technology and Computer Science Jiko (Jurnal Informatika dan komputer) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Kreativitas PKM JUMANJI (Jurnal Masyarakat Informatika Unjani) MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Manajemen Informatika Jurnal ICT : Information Communication & Technology Building of Informatics, Technology and Science JUTIS : Jurnal Teknik Informatika Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) JOINT (Journal of Information Technology jurnal syntax admiration Tematik : Jurnal Teknologi Informasi Komunikasi Innovation in Research of Informatics (INNOVATICS) Informatics and Digital Expert (INDEX) International Journal of Global Operations Research Jurnal Sosial dan Teknologi Jurnal Ilmiah Wahana Pendidikan Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) International Journal of Quantitative Research and Modeling Jurnal Abdimas Kartika Wijayakusuma International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Journal of Informatics and Communication Technology (JICT) Jurnal Informatika Teknologi dan Sains (Jinteks) Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Algoritma IJESPG (International Journal of Engineering, Economic, Social Politic and Government) journal Ranah Research : Journal of Multidisciplinary Research and Development Enrichment: Journal of Multidisciplinary Research and Development Journal of Informatics and Communication Technology (JICT) Malahayati International Journal of Nursing and Health Science Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika
Hadiana, Asep Id
Universitas Jenderal Achmad Yani
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Prediksi Penyakit Diabetes Menggunakan Algoritma Support Vector Machine (SVM) Hovi, Hovi Sohibul Wafa; Id Hadiana, Asep; Rakhmat Umbara, Fajri
Informatics and Digital Expert (INDEX) Vol. 4 No. 1 (2022): INDEX, Mei 2022
Publisher : LPPM Universitas Perjuangan Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/index.v4i1.895

Abstract

Diabetes Mellitus (DM) atau lebih dikenal dengan sebutan penyakit kencing manis adalah penyakit kronis yang disebabkan oleh gagalnya organ pankreas memproduksi jumlah hormon insulin secara memadai sehingga menyebabkan peningkatan kadar glukosa dalam darah. Diabetes Mellitus merupakan penyakit yang berbahaya, banyak diberbagai negara terkena penyakit diabetes termasuk di Indonesia. Penyebab utama diabetes masih belum diketahui, namun banyak yang percaya bahwa faktor genetika dan gaya hidup dapat memainkan peran utama pada diabetes. Para peneliti di bidang bioinformatika telah berusaha untuk mengatasi penyakit ini dan membuat sistem untuk membantu dalam prediksi diabetes. Dari berbagai penelitian yang ada, banyak menggunakan metode seperti C4.5, KNN, Naïve Bayes, serta SVM Linier dalam membangun sistem, tapi metode SVM Radial Basis Function (RBF) jarang digunakan dikarenakan hasil akurasi yang didapat tidak cukup untuk digunakan pada sistem prediksi diabetes. Pada penelitian ini menjawab gap tersebut bahwa dengan menggunakan metode algoritma SVM Radial Basis Function (RBF) dapat menghasilkan akurasi yang tinggi dengan mencapai sebesar 91%. Pengujian akurasi yang dilakukan menggunakan Confusion Matrix dan peramalan Mean Square Error dengan kfold kelipatan 10. Penelitian ini bertujuan untuk menentukan apakah penderita/pasien dapat terkena penyakit diabetes atau tidak dengan menerapkan teknik data mining dan klasifikasi menggunakan algoritma SVM Radial Basis Function berbasis Forward Selection.
Covid-19 Sentiment Analysis Using Random Forest Classification Syamsi, Salsa Safira Nur; Hadiana, Asep Id; Chrisnanto, Yulison H.
Enrichment: Journal of Multidisciplinary Research and Development Vol. 1 No. 6 (2023): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v1i6.53

Abstract

The spread of the COVID-19 pandemic has reached a significant global scale, changing the dynamics of people's lives around the world. Social media platforms such as Twitter have become important channels for individuals to share experiences, voice opinions, and participate in discussions related to this pandemic. Sentiment analysis emerged as an important approach to reveal changes in people's attitudes and emotions in facing this challenge. This research involves analyzing sentiment during the COVID-19 pandemic to understand the feelings, attitudes, and views of the community after the peak phase of the pandemic. This study refers to previous findings which show that the Random Forest Algorithm provides the highest accuracy in this analysis. Through testing with the Random Forest Algorithm method, model accuracy testing is carried out using a confusion matrix and comparing test data and training data in a ratio of 80:20. Test results show that this model achieves an accuracy rate of 91%, providing a more comprehensive view of changes in public sentiment during the COVID-19 pandemic.
Analisis Ketahanan Web Application Firewall Terhadap Serangan SQL Injection Humaira, Hana Nazla; Hadiana, Asep Id; Ashaury, Herdi
Jurnal Ilmiah Wahana Pendidikan Vol 10 No 5 (2024): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10526246

Abstract

The ever-advancing technological transformation has brought benefits to our daily lives. Thanks to these technological advances, it is very easy to get access to information, communicate with platforms, and conduct transactions in an increasingly sophisticated digital environment. Web application services are one of the positive impacts of the development of the digital world. However, behind the ease of access offered by web applications, it is often targeted by cyber criminals to obtain sensitive data within it. The application of Web Application Firewall (WAF) as a web application security from SQL injection attacks can be a solution to security issues. This research involves several different WAF solution selections. The results show that the effectiveness of WAF in protecting applications from SQL injection attacks varies depending on the type of attack. From the attacks performed, Naxsi was able to filter out 99% of the attacks and ModSecurity 100%.
QUESTION BANK SECURITY USING RIVEST SHAMIR ADLEMAN ALGORITHM AND ADVANCED ENCRYPTION STANDARD Monica, Taris; Hadiana, Asep Id; Melina, Melina
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 3 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i3.8654

Abstract

Data security is essential. Educational question banks at vocational high schools (SMK) contain confidential information that could be misused if not properly secured. This research aims to ensure students question bank data and develop a responsive web platform for Pusdikhubad Cimahi Vocational School by implementing the integration of the Advanced Encryption Standard (AES) and Rivest Shamir Adleman (RSA) cryptographic algorithms through the encryption and decryption process. AES is a symmetric key cryptography algorithm, while RSA is an encryption algorithm based on using public keys to encrypt the keys required by AES-256. The integration of these two algorithms aims to ensure data confidentiality, prevent manipulation, and facilitate access to exam materials by authorized parties. This research shows that the process of encrypting and decrypting question data using a combination of RSA and AES was successfully carried out on the question bank system. Avalanche Effect testing shows that the RSA and AES 256-bit encryption has an Avalanche Effect level of 49.99%. Apart from that, the system feasibility test using black box testing results shows that the SIFILE system has a percentage level of 100%. It is hoped that the results of this research can serve as a data security system at Pusdikhubad Cimahi Vocational School and other educational institutions to secure the question bank from unauthorized access
CUSTOMER CHURN PREDICTION USING THE RANDOM FOREST ALGORITHM Setiawan, Yosep; Hadiana, Asep Id; Umbara, Fajri Rakhmat
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 3 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i3.8711

Abstract

Customer churn prediction plays a vital role in modern business, accurately influencing strategic and operational decisions that influence customer loyalty to a service. Customer churn focuses on customer retention being more profitable than attracting new customers because long-term customers provide lower profits and costs while losing customers increases the costs and need to attract new customers. However, customer churn still occurs frequently and cannot be predicted. If customer churn is left unchecked, it will endanger the company or banking industry because it can cause loss of income, damage reputation, and decrease market share. Random Forest, a data mining technique, was used in this research because of its ability to predict and handle many variables. This research aims to predict customer churn using the Random Forest method with datasets from Europe, especially France, Spain, and Germany, hoping to benefit the banking industry by identifying customers at high risk of abandoning services. This research is expected to benefit business people from customer churn predictions. Especially in the banking industry, it can help identify customers at high risk of abandoning service. Thus, companies can take appropriate steps to retain these customers, increase customer retention, strengthen customer loyalty and optimize their business performance. The results of this research are an accurate system for predicting customer churn in the future. The research obtained accuracy results of 87% in predicting customer churn using accuracy testing in the form of a confusion matrix.
Pelatihan Pendampingan Code Blue Team Desa pada Kader Kesehatan dan Pembuatan Web Kesehatan Berbasis Digital Kesehatan di Desa Wangunjaya, Bungbulang- Garut Badrujamaludin, Asep; Hadiana, Asep Id; Jatnika, Galih; Ardiansyah, Diki; Alawiah, Siti Nurbayanti; Yulita, Rita Fitri
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 8, No 12 (2025): Volume 8 No 12 (2025)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v8i12.22796

Abstract

ABSTRAK  Kader kesehatan merupakan bagian penting dalam peningkatan derajat Kesehatan di desa, dan juga dalam rujukan diperlukan tim yang bisa dalam evakuasi dan keterampilan dalam merujuk pasien ke Puskesmas. Desa wangunjaya merupakan desa yang berada di garut Selatan dan  belum memiliki tim code blue Desa yang fokus ke rujukan pasien dan belum ada format rujukan digital. Para kader kesehatan belum memiliki pengetahuan atau keterampilan dalam Bantuan Hidup Dasar, Evakuasi dan sistem rujukan. pemberian pelatihan kepada kader Kesehatan dengan cara pengukuran tanda tanda vital (TTV), Bantuan hidup dasar (BHD), evakuasi Tandu dan juga sistem rujukan secara digital kesehatan dalam web desa. Setelah di lakukan pre test dan post test terkait aspek pengetahuan terkait TTV, BHD dan Evakuasi di dapat rata rata pre test 40 dan rata rata post test 80. Selain itu hasil pelatihan dan pendampingan langsung terkait Observasi pelatihan BHD meningkat tajam dari 30 ke 80, Evakuasi  tandu pasien menigkat dari 0 ke 80. Hasil dari pengabdian masyarakat terkait dengan pelatihan, workshop dan pendampingan Pengukuran TTV, BHD, evakuasi pasien tandu dan infut data Kesehatan rujukan digital efektif dalam peningkatan pengetahuan dan skill kader Kesehatan dan sistem rujukan digital di Desa Wangunjaya Bungbulang. Di harapakan peran serta dari Stakeholders di Desa terutama Bidan desa dan pengurus Desa untuk melanjutkan kegiatan team code blue kesehatan desa dalam pengkajian pasien, evakuasi dan rujukan dengan monitoring dan evaluasi pada kegiatan ini. Selain itu alat alat TTV dan alat evakuasi, dan juga web desa, rujukan kesehatan digital dimanfaatkan dan juga di tambahkan sehingga bermanfaat secara berkesinambungan. Kata Kunci: BHD, Code Blue, Evakuasi, Kader Kesehatan, Rujukan Digital, TTV  ABSTRACT Health cadres are an important part of improving the level of health in the village, and in referrals, a team is needed that can be in evacuation and skills in referring patients to the Puskesmas. Wangunjaya village is a village located in South Garut and does not yet have a village code blue team that focuses on patient referrals and there is no digital referral format. The health cadres do not yet have the knowledge or skills in Basic Life Support, Evacuation and the referral system. Providing training to health cadres by measuring vital signs (TTV), Basic Life Support (BLS), stretcher evacuation and also a digital health referral system in the village website. After the pre-test and post-test related to the aspects of knowledge related to TTV, BLS and Evacuation, the average pre-test was 40 and the average post-test was 80. In addition, the results of direct training and mentoring related to BLS training observations increased sharply from 30 to 80, patient stretcher evacuation increased from 0 to 80. the results of community service related to training, workshops and mentoring of TTV Measurement, BLS, patient stretcher evacuation and digital health referral data input are effective in increasing the knowledge and skills of health cadres and the digital referral system in Wangunjaya Village, Bungbulang. It is hoped that the participation of Stakeholders in the Village, especially the village midwife and village officials, will continue the activities of the village health code blue team in patient assessment, evacuation and referral with monitoring and evaluation of these activities. In addition, TTV tools and evacuation tools, as well as village websites, digital health referrals are utilized and also added so that they are useful on an ongoing basis. Keywords: BLS, Code Blue, Digital Referral, Evacuation, Health Cadres
Prediksi Curah Hujan Menggunakan Metode Bi-LSTM dan GRU Berbasis Data Iklim Abdillah, Fajrul; Hadiana, Asep Id; Melina, Melina
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2305

Abstract

As a tropical country, Indonesia faces great challenges in predicting rainfall due to increasingly dynamic climate change. This study aims to predict rainfall in an urban area in West Java with tropical climate characteristics using deep learning methods, namely Bidirectional Long Short-Term Memory (Bi-LSTM) and Gated Recurrent Unit (GRU) based on climate data collected from local meteorological stations. The results show that the Bi-LSTM method provides more stable prediction performance with a Mean Absolute Error (MAE) value of 0.0108 and a Root Mean Squared Error (RMSE) of 0.0158. In contrast, the GRU method produced variable performance with higher MAE and RMSE values in some test scenarios. The main findings of this study indicate that the BiLSTM model has a higher level of accuracy, making it an effective information technology solution to support disaster mitigation and agricultural sector planning in climatically complex regions.
Klasifikasi Penyakit Monkeypox dengan XGBoost dan SMOTE untuk Penanganan Data Tidak Seimbang Illawati, Adinda Rahma; Hadiana, Asep Id; Melina, Melina
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2349

Abstract

Monkeypox is an infectious disease that spreads rapidly and requires an accurate early detection system. This study aims to develop a monkeypox disease classification model by overcoming data imbalance problems. The method used is Extreme Gradient Boosting (XGBoost) combined with Synthetic Minority Over-sampling Technique (SMOTE). Model evaluation using Confusion Matrix with 69% accuracy, precision of 0.69, recall of 0.93, and F1-score of 0.79. In addition, the Area Under Curve - Receiver Operating Characteristic (AUC-ROC) value reached 0.68. This study shows that the combination of SMOTE and XGBoost can overcome data imbalance and improve minority class detection, thus contributing to the development of a more accurate and efficient infectious disease early detection system.
Implementasi Algoritma Rivest Shamir Adleman (RSA) dan Zero-Knowledge Proofs (ZKP) untuk Meningkatkan Keamanan Data Rekam Medis Elektronik Lestari, Abdila; Id Hadiana, Asep; Melina
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2360

Abstract

Perkembangan teknologi komputer dan telekomunikasi meningkatkan efisiensi pengolahan data, namun menimbulkan tantangan keamanan, khususnya pada data rekam medis elektronik (RME) yang bersifat sensitif. Penelitian ini mengimplementasikan metode Zero-Knowledge Proof (ZKP) dan Revest Shamir Adleman (RSA) untuk meningkatkan keamanan dan privasi RME. ZKP memungkinkan pembuktian tanpa mengungkapkan informasi rahasia, sedangkan RSA menjaga kerahasiaan dan integritas data melalui enkripsi-dekripsi. Hasilnya, entropi data meningkat 24,53% (4,8314 menjadi 6,0165 bits/byte) setelah enkripsi RSA 2048-bit dengan padding OAEP berbasis SHA-256. Protokol ZKP metode Schnorr berhasil diimplementasikan tanpa membocorkan rahasia pengguna. Pengujian pada 100 pengguna simultan menunjukkan waktu respons rata-rata 1,8 detik dengan keberhasilan permintaan di atas 94%. Tantangan utama adalah beban komputasi autentikasi ZKP dan efisiensi saat jumlah pengguna bertambah. Integrasi RSA dan ZKP terbukti efektif meningkatkan keamanan, menjaga privasi, dan mempertahankan kinerja sistem RME.
Sistem Data Loss Prevention Untuk Deteksi dan Enkripsi pada Dokumen Menggunakan Regex dan Format Preserving Encryption Rahmawati, A Lusi Fitri; Hadiana, Asep Id; Melina
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2387

Abstract

Dalam era digital saat ini, kebocoran informasi sensitif menjadi ancaman serius bagi individu maupun organisasi, terutama ketika data tidak terlindungi dengan baik. Untuk mengatasi permasalahan tersebut, diperlukan sistem yang tidak hanya mendeteksi keberadaan data sensitif, tetapi juga mampu melindunginya secara efektif. Penelitian ini mengembangkan sistem Data Loss Prevention (DLP) yang menggabungkan metode deteksi pola data sensitif menggunakan regular expression (regex) dan teknik enkripsi Format-Preserving Encryption (FPE) untuk melindungi informasi sensitif dalam dokumen digital. Sistem dirancang agar mampu mengenali pola data seperti NIK, NPWP, nomor telepon, email, dan nomor rekening menggunakan regex, kemudian melakukan enkripsi pada data yang terdeteksi tanpa mengubah format aslinya. Data uji yang digunakan berupa dataset sintetik yang menyerupai data nyata. Proses enkripsi menggunakan algoritma FF3 dengan pendekatan deterministik yang disesuaikan dengan jenis data agar tetap kompatibel dengan sistem. Evaluasi dilakukan terhadap efektivitas deteksi menggunakan metrik precision, recall, dan F1-score, serta efisiensi dan keamanan enkripsi melalui pengukuran waktu proses dan nilai entropi. Hasil evaluasi sistem menunjukkan akurasi deteksi 94,1%, presisi 100%, recall 88,8%, dan F1-score 94,1%. Rata-rata waktu enkripsi per dokumen hanya 0,15 milidetik, sedangkan proses enkripsi berhasil meningkatkan entropi dokumen sebesar 0,0645 bit. Sistem ini menunjukkan performa yang stabil dan dapat diandalkan dalam mendeteksi serta melindungi informasi sensitif tanpa mengganggu struktur data maupun proses operasional.
Co-Authors Abdillah, Fajrul Abidillah, Gunawan Adelia Siti Rukoyah Agri Yodi Prayoga Agus Komarudin Agus Komarudin Agus Komarudin Alawiah, Siti Nurbayanti Alda Amorita Azza Ali, Moch. Dzikri Azhari Ananta Firdaus, Ahnaf Anggoro, Sigit Anggun Titah Islamiyyah Anshori, Siddiq Ahmad Anwar Fauzi, Mochammad Ardiansyah, Diki Arthur Oliviana Zabka Ashaury, Herdi Ashaury, Herdy Azhari, Moch Dzikri Azy Mushofy Anwary Badrujamaludin, Asep Chrisnanto, Yulison H. Dava Maulana, Muhammad Destiyanti, Fitri Dewi Marini Umi Atmaja Dewi Ratnasari DEWI RATNASARI Diah Tri Wahyuni Eddie Khrisna Putra Edvin Ramadhan Eka Purnama Rijaludin, Muhamad Engko M, Galih Yuga Pangestu Eriyadi, Maulidina Norick Fadilah, Vira Hasna Fahrezi, Rizal Febrian Faiza Renaldi Faiza Renaldi Fajar Firdaus, Fajar Fajri Rakhmat Umbara Fajri Rakhmat Umbara Fajri Rakhmat Umbara Fajri Rakhmat Umbara Fajri Rakhmat Umbara Fajri Rakhmat Febriansyah Istianto, Andrian Ferdiansyah Ferdian Ferina Nur Maulidya Firdaus, Syahrul Firman Alamsyah Galih Jatnika Galih Yuga Pangestu Engko M Gestavito, Rio Grace Christian M. Purba Gunawan Abdillah Gunawan Abdillah, Gunawan Gunawan Abidillah Hadi Apryana Hadimas Aprilian, Doni Haikal Muhammad, Husein Hanief Kuswanto, Muhammad Rafi Helsa Hawariyah Herdi Ashaury Herlina Napitupulu Hidayatulah Himawan Hovi Sohibul Wafa Hovi Hovi, Hovi Sohibul Wafa Humaira, Hana Nazla Idham Pratama Putra Illawati, Adinda Rahma Indah Putriani Fajar Sidik Insan Kamil Nurhikmat Ipan Sugiana Iqbal Dwi Nulhakim Iqbal Prayoga Willyana Irma Santikarama Irma Setiawati Ismafiaty, Ismafiaty Julianthy, Denissya Kafi, Moch. Nurul Kania Ningsih, Ade Kasyidi, Fatan Kharisma S, Moh Iqbal Komarudin, Agus Krishna Putra, Eddie Kusumaningtyas, Valentina Adimurti Lestari, Abdila Lugina Masri M. Purba, Grace Christian Melina Melina Melina Melina Melina, Melina Monica, Taris Muhammad Hasan Thoriq Almuwaffaq Thoriq Muhammad Sukma, Rifaz Muhammad, Azri Mulyasari, Cicik Rafka Mushofy Anwary, Azy Muthmainah, Sekar Ghaida Nabilla, Ulya Nizar Septi maulana Norizan Mohamed Nurrokhimah, Siti Nurul Sabrina, Puspita Oktaviani, Ayu Nur Oliviana Zabka, Arthur Prasetyo, Nur Faid Pryma Saputra Ginting Puspita Nurul Sabrina Puspita Nurul Sabrina Puspita Nurul Sabrina Puspita Putra, Eddie Krishna Putri Eka Prakasawati Rafli Firdaus Raflialdy Raksanagara Rahmawati, A Lusi Fitri Raihan Martin Permana Rakhmat Umbara, Fajri Ramdani, Maullidan Alfa Rizki Fikri Rezki Yuniarti Rezky Yuniarti Ria Amelia Junandes Ridwan Ilyas Rifaldi Elpry Rizal Rizal Dwiwahyu Pribadi Rizky Bayu Oktavian Rizky Fauzi Achman Rukoyah, Adelia Siti Salsabila Fajriati Romli Salsabila Salsabila, Mira Salsabila, Salsabila Fajriati Romli Santikarama, Irma Sapari, Albi Mulyadi SETIAWAN, YOSEP Sevty Nourmantana Shisi Prayesti Singgih, Dimas Siti Rohaeni Siti Widiani Sopian, Annisa Mufidah Sudrajat, Risqi Sukono Sukono Susanti, Adisti Dwi Syamsi, Salsa Safira Nur Syechru Denny Irja Gotama Szalfa Saadiatus Sakinah Tacbir Hendro P Tacbir Hendro P Tacbir Hendro P Tacbir Hendro Pudjiantoro Tacbir Hendro Pudjiantoro Tacbir Hendro Pudjiantoro Tacbir Hendro Pudjiantoro Tacbir Pudjiantoro Hendro Tachbir Hendro Taufiq Akbar Herawan Thomas Adi Nugroho Tulus Harry Lamramot Tulus Tulus, Tulus Harry Lamramot Umbara, Fajri Rakhmat Valentina Adimurti Kusumaningtyas Wahyuni Rodiyah Risfianti Widiyantoro, Widiyantoro Wina Witanti Wina Witanti Wina Witanti Wina Witanti Wina Witanti Wina Witanti Wina Witanti Winalia Winalia Winta Witanti Yasmina Azzahra Yudi Setiadi Permana Yulianto Dwi Saptohadi Yulison Herry Chrisnanto Yulita, Rita Fitri Yuswandi Yuswandi, Yuswandi