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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer Panrita Abdi - Jurnal Pengabdian pada Masyarakat Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) Jurnal Ilmiah FIFO PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Conference on Innovation and Application of Science and Technology (CIASTECH) JURTEKSI METIK JURNAL Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jusikom: Jurnal Sistem Informasi Ilmu Komputer Systematics Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informasi dan Teknologi Buana Information Technology and Computer Sciences (BIT and CS) JATI (Jurnal Mahasiswa Teknik Informatika) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Indonesian Journal of Electrical Engineering and Computer Science Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Infotek : Jurnal Informatika dan Teknologi Journal of Applied Data Sciences Jurnal Cahaya Mandalika Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Djtechno: Jurnal Teknologi Informasi Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Mechanical Engineering for Society and Industry Dirgamaya: Jurnal Manajemen dan Sistem Informasi J-Intech (Journal of Information and Technology) Automotive Experiences Journal of Informatics and Communication Technology (JICT) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Informatika Teknologi dan Sains (Jinteks) Abdimas Journal International of Lingua and Technology Jurnal Komtekinfo Jurnal Buana Pengabdian Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Adopsi Teknologi dan Sistem Informasi Innovative: Journal Of Social Science Research JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Jurnal Polimesin Journal of Informatics and Communication Technology (JICT) CSRID Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi Jurnal PETISI (Pendidikan Teknologi Informasi) Journal of Information Technology Jurnal Abdimas Mahakam
April Lia Hananto
Universitas Buana Perjuangan Karawang, Indonesia
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Designing a QR Code Model Examination System with the Zachman Framework Irawan, Bei Harira; Prihadi, Deddy; Rahmatika, Dien Noviany; Nugroho, Catur; Soleman, Soleman; Tukino, Tukino; Hananto, April Lia; Silva, Tiago; Eichler, Luiz
Journal International of Lingua and Technology Vol. 2 No. 2 (2023)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiltech.v2i2.259

Abstract

The Digital Business study program is a new study program within the Faculty of Economics and Business of Universitas Pancasakti Tegal where previously there were only 3 study programs, namely the Management, Accounting, and Taxation study programs. Every semester the Faculty of Economics and Business always holds Mid Semester Test (MST) and a Final Semester Test (FST), In both implementations, there are still queues of students who have already registered and paid for exams at the Front Office to take exam cards. This queue creates a large crowd at the Front Office and often causes the Administrative division that prints the cards and the Front Office staff to be overwhelmed in printing and distributing test cards to students. This study uses the Zachman Framework architectural model approach which is a framework in providing the basic organizational structure that supports access, integration, interpretation, development, management, and changes to the architectural devices of organizational information systems in the form of a matrix with a combination of planners and owners perspectives and the addition of two more perspectives. namely the perspective of the information system architecture which provides an overview of the design and architectural testing of the system as a novelty method.
Peningkatan Literasi Digital Pengelolaan Data Infaq Pembayaran Siswa TPA Masjid AT-TAQWA Irawan, Bei Harira; Prihadi, Deddy; Susilawati, Agnes Dwita; Reformasi, Era; Miswadi, Miswadi; Kadori, Ilman; Nugroho, Catur; Hananto, April Lia
Abdimas Galuh Vol 6, No 2 (2024): September 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v6i2.16094

Abstract

Pengelolaan infaq dan pembayaran siswa di Taman Pendidikan Al-Qur'an (TPA) Masjid AT-TAQWA masih dilakukan secara manual, yang seringkali menimbulkan berbagai masalah seperti ketidaktepatan pencatatan dan keterlambatan pelaporan. Keterbatasan literasi digital di kalangan pengelola juga menjadi hambatan utama dalam penerapan teknologi informasi yang lebih efektif. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan literasi digital pengelola TPA serta memperkenalkan sistem informasi yang terintegrasi untuk pengelolaan infaq dan pembayaran siswa. Metode yang digunakan dalam kegiatan ini meliputi analisis kebutuhan, perancangan, pengembangan, implementasi sistem informasi, serta pelatihan literasi digital. Hasil dari kegiatan ini menunjukkan peningkatan yang signifikan dalam efisiensi dan akurasi pengelolaan data di TPA, dengan pengurangan waktu pencatatan hingga 50% dan penurunan tingkat kesalahan pencatatan serta kehilangan kartu bayaran menjadi tidak ada. Pelatihan literasi digital juga berhasil meningkatkan kemampuan pengelola dalam menggunakan teknologi informasi, dengan sebagian besar pengelola mampu mengoperasikan sistem informasi dengan baik. Dengan adanya implementasi sistem informasi yang didukung oleh pelatihan literasi digital dapat secara signifikan meningkatkan kualitas pengelolaan infaq dan pembayaran siswa di TPA Masjid AT-TAQWA. Kegiatan ini diharapkan dapat menjadi model bagi lembaga pendidikan lainnya untuk mengadopsi teknologi digital dalam operasional mereka, guna meningkatkan efisiensi, transparansi, dan akurasi dalam pengelolaan administrasi.
Analisis Sentimen E-Learning X Terhadap Antarmuka Pengguna Menggunakan Kombinasi Multinomial Naive Bayes Dan Pendekatan Design Thinking Huda, Baenil; Sembiring, Irwan; Setiawan, Iwan; Manongga, Danny; Purnomo, Hindriyanto Dwi; Hendry, Hendry; Fauzi, Ahmad; Lia Hananto, April; Tukino, Tukino
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 4: Agustus 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.1147686

Abstract

Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap antarmuka e-learning X menggunakan kombinasi Multinomial Naive Bayes dan pendekatan Design Thinking. Permasalahan yang dihadapi adalah banyaknya feedback negatif terkait antarmuka pengguna yang dianggap kurang intuitif. Data sentimen dari ulasan pengguna diklasifikasikan menggunakan algoritma Multinomial Naive Bayes, sementara Design Thinking digunakan untuk merancang solusi antarmuka yang lebih user-friendly. Hasilnya menunjukkan bahwa metode ini efektif meningkatkan sentimen positif pengguna, dengan perbaikan signifikan dalam pengalaman dan kepuasan pengguna terhadap antarmuka e-learning X, Serta rekomendasi untuk pengembangan aplikasi e-learning.   Abstract   This research aims to analyze user sentiment towards the e-learning interface X using a combination of Multinomial Naive Bayes and Design Thinking approaches. The problem faced was the large number of negative feedback regarding the user interface which was considered less intuitive. Sentiment data from user reviews is classified using the Multinomial Naive Bayes algorithm, while Design Thinking is used to design more user-friendly interface solutions. The results show that this method is effective in increasing positive user sentiment, with significant improvements in user experience and satisfaction with the X e-learning interface As well as recommendations for developing e-learning applications.
PENERAPAN METODE AGILE SCRUM PADA SISTEM E-POSYANDU BERBASIS WEB Edrina Christine, Natalie; Priyatna , Bayu; Lia Hananto, April; Shofiah Hilabi, Shofa
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 2 (2024): JATI Vol. 8 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i2.9257

Abstract

Kemajuan teknologi informasi membuka peluang besar untuk meningkatkan mutu pelayanan kesehatan khususnya dalam pengelolaan data kesehatan anak melalui sistem E-Posyandu berbasis Web. Pencatatan manual seringkali menimbulkan permasalahan seperti data yang hilang, rusak dan ketidak sinkronan data. Untuk itu diperlukan suatu sistem yang memudahkan pengelolaan data bagi para petugas posyandu. Tujuan dari penelitian ini adalah merancang sistem E-Posyandu berbasis Web yang diperlukan untuk keberlangsungan Posyandu. Penelitian ini menggunakan metodologi Agile Scrum. Untuk penyimpanan data. Website ini dibuat berdasarkan wawancara dan observasi lapangan langsung untuk mengakses informasi dan kebutuhan yang valid. Hasil penelitian ini adalah sebuah sistem E-Posyandu yang telah diuji menggunakan pengujian Blackbox dan berfungsi dengan baik sehingga dapat membantu user dalam mengelola data menggunakan system yang ada. Pembangunan system E-Posyandu berbasis web tersebut menggunakan Bahasa pemrograman PHP, HTML, dan mengimplementasikan server database MySQL. Dengan adanya sistem E-Posyandu berbasis web kader tidak perlu membawa buku besar untuk mencatat dan mengelola data. Metode Agile Scrum diperlukan untuk membangun sebuah perancangan sistem secara sistematis dan terstruktur, sehingga proses penelitian menjadi lebih terarah. Pengguna dapat dengan mudah mengelola data tanpa harus menginput ulang data. Pengujian pengguna atau user dilakukan menggunakan black box testing, dari pengujian yang telah dilakukan menyatakan bahwa fitur sistem berfungsi dengan baik dan sesuai dengan fungsinya.
Improvement of Starling Image Classification with Gabor and Wavelet Based on Artificial Neural Network Rahman, Aviv Yuniar; Istiadi, Istiadi; Hananto, April Lia; Fauzi, Ahmad
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1381

Abstract

Indonesia is a country that has a diversity of animal species with the top 10 predicate in the world. The population of animal species, including starlings, is very widely known in the country. Starlings currently in Indonesia are diverse, ranging from standard to rare in Indonesia. This starling has its characteristics based on the type, color, sound, etc. In the first problem, the first accuracy performance when using the GLCM texture feature with Artificial Neural Network is 68%. Furthermore, the second problem is the accuracy performance of typing using the GLCM texture feature with a Decision Tree of 50%. This research aims to improve the starling classification system accuracy using Gabor and Wavelet texture features with artificial Neural Networks. Based on testing in the classification of starlings using the GLCM, Gabor, and Wavelet features, the highest degree of precision can, therefore, be concluded to be at the GLCM and Wavelet feature levels. The GLCM and Wavelet level accuracy results reached 83% at a rate of learning 0.9. In the experiments that have been done, the GLCM and Wavelet levels can increase accuracy using Artificial Neural Networks. In the classification process, the type of starlings also shows that the computational time in testing is much faster in producing accuracy values. In addition, the accurate accuracy while testing the starling category also increases.
Classification of Starling Images Using a Bayesian Network Hananto, April Lia; Rahman, Aviv Yuniar; Paryono, Tukino; Priyatna, Bayu; Hananto, Agustia; Huda, Baenil
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.423

Abstract

The classification of starling species is vital for biodiversity conservation, especially as some species are endangered. This research investigates the effectiveness of the Bayesian Network (BayesNet) for classifying starling species and compares its performance with Artificial Neural Networks (ANN) and Naive Bayes models. The dataset comprises 300 images of five starling species—Bali, Rio, Moon, Kebo, and Uret—captured under controlled conditions. Feature extraction focused on color, texture, and shape, while data augmentation through slight image rotations was applied to enhance model generalization. The BayesNet model achieved an accuracy of 96.29% using a 90:10 training-to-testing split, outperforming ANN (90.74%) and Naive Bayes variants. Precision, recall, F1-score, and AUC-ROC values further validated the robustness of the BayesNet model, with precision at 0.90, recall at 0.91, F1-score at 0.92, and AUC-ROC at 0.95. These results demonstrate the superior performance of multi-feature Bayesian Networks in starling classification compared to other machine learning models. The novelty of this study lies in its application of a probabilistic approach using Bayesian Networks, which enhances interpretability and performance, especially in scenarios with limited data. Future work may explore additional feature sets and advanced machine learning models to further improve classification accuracy and robustness.
Penggunaan Algoritma K-Means Clustering CRISP-DM Dalam Mengelompokkan Drama Korea Sebagai Rekomendasi Film Fatlun, Aulia; Hilabi, Shofa Shofiah; Priyatna, Bayu; Hananto, April Lia
JATISI Vol 12 No 1 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i1.11347

Abstract

This study classifies Korean dramas based on popularity and ratings using K-Means Clustering within the CRISP-DM framework. The dataset from Kaggle includes title, release year, rating, vote count, duration, and genre. The Elbow Method determined that 2 clusters were optimal, with a Silhouette Score of 0.35, indicating a fairly good grouping. Recommended dramas have high ratings and vote counts, showing strong popularity, while less recommended dramas have lower ratings and fewer votes, indicating limited appeal. This model can enhance recommendation system accuracy, assist viewers in content selection, and help streaming platforms understand user trends and marketing strategies. Future improvements may involve alternative clustering methods (DBSCAN, Hierarchical Clustering) and additional features like actors, directors, and release year to refine accuracy.
Klasifikasi Genre dan Rating Konten di Netflix : Wawasan dari Analisis Chi-Square dan Clustering alzahra, alika aziza; Hananto, April Lia; Hananto, Agustia; Priyatna, Bayu
JATISI Vol 12 No 1 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i1.11354

Abstract

Streaming platforms like Netflix rely on genre classification and content rating to enhance user experience and develop more effective marketing strategies. This study aims to analyze the relationship between genre and content rating on Netflix using Chi-Square analysis and clustering techniques to group genres based on rating distribution patterns. The Chi-Square test results indicate a significant relationship between genre and content rating (p-value < 0.05), suggesting that certain types of content tend to receive specific ratings. Furthermore, clustering analysis identifies three main groups: genres with high ratings suitable for a broad audience, genres with varied ratings that are more subjective, and genres with lower ratings that often include adult or less popular content. These findings provide insights that Netflix can leverage to optimize its content catalog, develop personalized recommendations, and tailor marketing strategies based on user consumption patterns.
EVALUATION IT GOVERNANCE BASED ON COBIT 2019 FRAMEWORK AT BUANA PERJUANGAN UNIVERSITY Yazid, Muhammad Abi; Hananto, April Lia; Priyatna, Bayu; Paryono, Tukino
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 11, No 2 (2025): Maret 2025
Publisher : Universitas Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i2.3791

Abstract

Abstract: The utilization of Information Technology (IT) in higher education institutions is crucial for supporting academic and administrative activities. The Data and Information Center (PUSDATIN) of UBP Karawang manages various IT services, such as Sistem Informasi Perguruan Tinggi (SIPT), e-learning Buana Online Course (BOC), and others. This study aims to evaluate the maturity level of IT governance at UBP Karawang to ensure alignment with the university's strategic goals and identify areas requiring improvement. The research employs a quantitative descriptive method based on COBIT 2019, with data collected from 92 respondents, analyzed through goals cascade mapping and maturity level measurement. The evaluation results across 14 COBIT 2019 domains indicate that the IT governance maturity level at UBP Karawang is at Level 4 (Quantitatively Managed) with a score of 3.86 and an average gap of 1.13 from the expected level. The findings suggest that while IT governance at UBP Karawang is well-managed, there is still room for improvement. Therefore, several recommendations are proposed to optimize IT governance effectiveness, ensure regulatory compliance, and support the achievement of the university's strategic objectives.            Keywords: COBIT 2019; IT evaluation; IT governance; maturity level. Abstrak: Pemanfaatan Teknologi Informasi (TI) di perguruan tinggi sangat krusial untuk mendukung aktivitas akademik dan administratif. Pusat Data dan Informasi (PUSDATIN) UBP Karawang mengelola berbagai layanan TI, seperti Sistem Informasi Perguruan Tinggi (SIPT), e-learning Buana Online Course (BOC) dan lain-lain. Penelitian ini bertujuan untuk mengevaluasi tingkat kematangan tata kelola TI di UBP Karawang guna memastikan keselarasan dengan tujuan universitas serta mengidentifikasi area yang memerlukan perbaikan. Penelitian ini menerapkan metode deskriptif kuantitatif berbasis COBIT 2019, dengan data diperoleh dari 92 responden, dianalisis melalui pemetaan goals cascade dan pengukuran maturity level. Hasil evaluasi pada 14 domain COBIT 2019 menunjukkan tingkat kematangan TI UBP Karawang berada di Level 4 (Terkelola secara Kuantitatif) dengan skor 3.86, serta rata-rata gap 1.13 dari tingkat yang diharapkan. Kesimpulan dari penelitian ini mengindikasikan bahwa meskipun tata kelola TI di UBP Karawang telah terkelola dengan baik, masih terdapat ruang untuk perbaikan. Oleh karena itu, beberapa rekomendasi diajukan guna mengoptimalkan efektivitas tata kelola TI, menjamin kepatuhan terhadap regulasi, serta mendukung pencapaian tujuan strategis universitas. Kata kunci: COBIT 2019; evaluasi TI; maturity level; tata kelola TI. 
Penerapan Algoritma Naive Bayes untuk Perbandingan Sentimen Ulasan Lazada dan Tokopedia Prasetya, Rafli; Hananto, April Lia; Novalia, Elfina; Tukino, Tukino
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 1: April 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i1.2666

Abstract

The e-commerce sector is one of many aspects of life influenced by advancements in information and communication technology. Tokopedia and Lazada, as two popular platforms in Indonesia, are increasingly accessed through mobile applications. User reviews serve as valuable input for improving service quality and user satisfaction. This study aims to evaluate user sentiment toward the Lazada and Tokopedia applications on the Google Play Store using the Naïve Bayes algorithm. A total of 2,000 review data were collected using web scraping methods and underwent preprocessing, resulting in 1,864 data points ready for analysis. The Hold-Out technique was applied for data splitting to assess model performance. The results show an accuracy of 89% for both applications. The majority of user sentiment is positive, with Lazada achieving a precision of 94%, recall of 93%, and F1-score of 94%, while Tokopedia achieved a precision of 97%, recall of 86%, and F1-score of 91%. These findings demonstrate the effectiveness of combining the Naïve Bayes algorithm and the Hold-Out technique in sentiment classification.Keywords: E-commerce; Sentiment Analysis; Google Play Store; Naïve Bayes AbstrakSektor e-commerce adalah salah satu dari banyak aspek kehidupan yang dipengaruhi oleh kemajuan teknologi informasi dan komunikasi. Tokopedia dan Lazada sebagai dua platform populer di Indonesia, semakin sering digunakan melalui aplikasi mobile. Ulasan pengguna menjadi masukan penting dalam meningkatkan kualitas layanan dan kepuasan pengguna. Penelitian ini bertujuan untuk mengevaluasi sentimen terhadap pengguna aplikasi Lazada dan Tokopedia di platform Google Play Store melalui algoritma Naïve Bayes. Sebanyak 2000 data ulasan dikumpulkan menggunakan metode web scraping, kemudian dilakukan preprocessing sehingga diperoleh 1864 data siap analisis. Teknik Hold-Out digunakan dalam pembagian data untuk mengukur performa model. Hasil menunjukkan akurasi sebesar 89% untuk masing-masing aplikasi. Sentimen pengguna mayoritas bersifat positif, dengan Lazada memperoleh presisi 94%, recall 93%, dan skor F1 94%, sedangkan Tokopedia memperoleh presisi 97%, recall 86%, dan skor F1 91%. Temuan ini menunjukkan efektivitas kombinasi algoritma Naïve Bayes dan Hold-Out dalam klasifikasi sentimen. 
Co-Authors - Faqih Abdullah Abdullah Abdullahi Tanko Mohammed Abdullahi Tanko Mohammed Adittia Agustian Afra, Alfina Fadhilah Agneresa Agneresa Agustia Tia Hananto Ahmad Fauzi Ahmed Sule Alparizi, Muhamad Iqbal Alpian, Yayan alzahra, alika aziza Anis Fitri Nur Masruriyah Anita Khansa Ramadanti Anthony Chukwunonso Opia Aprilia Putri Nardilasari Arkan Hilman Hakim Asep Haris Atmaja, Rashelin Zahra Attaya Faiharani Aulia, Aldi Aviv Yuniar Rahman Aviv Yuniar Rahman Aviv Yuniar Rahman Aviv Yuniar Rahman Aviv Yuniar Rahman Baenil Huda Baenil Huda Baenil Huda Baenil Huda Baenil Huda Bagus Setyawan Baihaqi, Kiki Ahmad Bayu Priyatna Bayu Priyatna Bayu Priyatna Berkah*, Kamila Bilqis Amalia Utari Candra Zonyfar Catur Nugroho Danny Manongga Dean Ariesta Aziz Deddy Prihadi Deden Wahiddin Detrie Noviani Dhany Hermansyah Dien Noviany Rahmatika Edrina Christine, Natalie Eichler, Luiz Eko Pramono Eko Sediyono Elfina Novalia Elsa Rosalina Esam Abu Baker Ali Fatlun, Aulia Fatmanisa Mumpuni Delta Maharani Fauzi Ahmad Muda Firdaus, Mohamad Ricky Firman Nurdiansyah Firman Nurdiyansyah Fitri Nurapriani Fitria Nur Apriani Fitria Nurapriani Fitria Nurapriani Fuad anwar yuwono Gefira Rahmaifha Guntur, Muhamad Hananto, Agustia Hanny Hikmayanti Handayani Hayati, Cucu Hendry Henry Adam Hibatullah, Muhammad Hafizh Hilabi, Shofa Shofia Hilabi, Shofa Shofiah Hilabi, Shofa Shofiah Hindriyanto Dwi Purnomo Huda Huda Huda, Baenil Ihsan, Mohammad Maftuh Ihwan Ghazali Ilman Kadori Indra Kurniawan Indri Oktapiani Irawan, Bei Harira Irsyadul I&#039;bad Irwan Sembiring Istiadi Isyanto, H. Puji Iwan Setiawan Iwan Setyawan Joko Purwanto Kamila Berkah* Kurnia, Nisa Lutfiah, Siti Mega Tri Kurnia Melisa Miswadi Miswadi Moh Hasan Basri Mohamad Ricky Firdaus Mubarok, Piky Muhamad Djaka Permana Muhammad Abil Fadli Muhammad Fahmi Miskon Muhammad Idris Muhammad Idris Muhammad Idris Muhammad Nova Muhammad Zacky Asy&#039;ari Muthia Nur Rizky Fitriani Naufal Zubdi Ahnaf Nisa Kurnia Novalia, Elfina Novia Cahya Utami Nur ‘Azah Nurapriani, Fitria Nurapriani, Nurapriani Nurfajria, Dera Nursyifa Paryono, Tukino Permana Andi Paristiawan Permana Andi Paristiawan Pradana Rizki Maulana Prasetya, Rafli Prasetyo Ajie Pratama, Daffa Agung Priatna, Bayu Priyatna , Bayu Priyatna, Bayu Purnomo, Hendryanto Dwi Putri Indraswari Reformasi, Era Rieke Retnosary Rukmanta Jayawiguna Ruliansyah Ruliansyah Ruliansyah Ruliansyah, Ruliansyah Saepul Aripiyanto Safarudin Gazali Herawan Sari, Nurnilam Sarina Sulaiman Sarina Sulaiman Setiawan, Feddy Wanditya Setiawan, Pratama Wahyu Shelly Nur Azizah Shofa Shofia Hilabi Shofa Shofia Hilabi Shofa Shofia Hilabi Shofa Shofiah Hilabi Shofa Shofiah Hilabi Shofa Shofiah Hilabi Shofa Sofiah Hilabi Shofiah Hilabi, Shofa Shuaibu Alani Balogun Sigit Widiyanto Silva, Tiago Siti Masruroh Sofia Ramadanti Az-Zahra Soleman, Soleman Sopian, Jajang Sri Mumpuni Ngesti Rahaju Sudrajat, Deden Renhad Suhada, Karya Surala, Lyvia Susilawati, Agnes Dwita Syah Alam Tita Puspita Sari Titik Khawa Abdurahman Tukino Tukino Tukino Tukino Tukino Tukino Tukino Tukino Tukino, Tukino Tukino, Tukino Vina Andini Yazid, Muhammad Abi Yovika Aprianti Yoviyardi, Rama