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All Journal Jurnal Algoritma Jurnal Wawasan Ilmiah Jurnal Teknologi Informasi dan Ilmu Komputer JAIS (Journal of Applied Intelligent System) Jurnal Ilmu Sosial dan Ilmu Politik JOIN (Jurnal Online Informatika) Edu Komputika Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Seminar Nasional Teknologi Informasi Komunikasi dan Industri JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal ULTIMATICS Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURTEKSI Jurnal Sistem Cerdas Aiti: Jurnal Teknologi Informasi Jurnal Teknik Informatika (JUTIF) Teknika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal PkM MIFTEK Jurnal Algoritma Engineering Science Letter Journal of Novel Engineering Science and Technology IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi Integrated : Journal Of Information Technology and Vocational Education JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Journal of Intelligent Systems Technology and Informatics International Journal of Applied Information Systems and Informatics Jurnal Elektronika dan Telekomunikasi
Dede Kurniadi
Institut Teknologi Garut
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Rancang Bangun Aplikasi Halo Cat Berbasis Mobile Dengan Menggunakan Metodologi Scrum Sebagai Alat Konsultasi Online Dokter Hewan Rahayu, Sri; Kurniadi, Dede; Irfanov, Muhammad
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.22-2.1763

Abstract

Owners' lack of knowledge about cat health often leads to cat illnesses not being detected early, even leading to death. About 65% of cats are only found to be sick when brought to the clinic, which is often due to busy owners. This makes the time to consult with a veterinarian unavailable. This research aims to create an Android-based application that can be a link between people who have cats as pets and veterinarians, in consulting related problems experienced by the cat owner. The results showed that Scrum contributed to the development of an efficient Halo Cat application, with accurate time estimation and features that support consultation.
Implementasi User Experience Menggunakan Metode Design Thinking Pada Aplikasi KostHub Fitriani, Leni; Kurniadi, Dede; Irawan, Muhammad Randy
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.22-2.2117

Abstract

Bisnis penyewaan indekos adalah jenis bisnis yang permintaannya meningkat dari tahun tahun. Tetapi, di tengah besarnya kebutuhan kos di Indonesia, masih terdapat permasalahan yang dialami baik oleh pemilik atau pencari indekos. Hingga saat ini, pencarian indekos masih mengandalkan informasi yang diperoleh melalui rekomendasi dari teman atau pihak lain. Kemudian dari sisi pemilik kos, mereka seringkali kesulitan untuk mempromosikan kos milik mereka. Melihat permasalahan tersebut, perlu adanya suatu platform pencarian indekos yang dapat mengatasi permasalahan pengguna salah satunya dengan memperhatikan sisi user experience. Penelitian ini bertujuan untuk melakukan implementasi user experience pada platform kosthub. Kosthub merupakan sebuah platform penyewaan kos yang dapat membantu pemilik dan juga pencari kos untuk bisa terhubung dan bekerja sama dalam menemukan solusi bagi kebutuhan mereka. Platform kosthub melakukan perancangan dari sisi user experience agar memperhatikan fungsi dan kegunaannya dalam mengatasi permasalahan calon pengguna. Adapun metode dari penelitian ini akan menggunakan pendekatan design thinking dengan tahapan empathize, define, ideate, prototype dan test dengan bantuan usability testing. Penelitian ini menghasilkan berupa rancangan tampilan yang sudah memenuhi kriteria ramah pengguna dengan persentase 85,5 persen untuk pencari indekos dan 93,5 persen untuk pemilik indekos. Kesimpulan dari penelitian ini bahwa tampilan dari kosthub telah memenuhi kriteria ramah pengguna.
Model Prediksi Curah Hujan di Kota Bandung Menggunakan Algoritma Regresi Linier Kurniadi, Dede; Abdussalam, Iqbal Abdussalam
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.22-2.2136

Abstract

Penelitian ini bertujuan untuk membangun model prediksi curah hujan harian di Kota Bandung menggunakan algoritma regresi linier. Data yang digunakan sebanyak 2.647 entri harian dari tahun 2017 hingga Maret 2024 yang diperoleh dari Badan Meteorologi, Klimatologi, dan Geofisika (BMKG). Fitur yang digunakan mencakup suhu minimum, maksimum, dan rata-rata, kelembapan rata-rata, durasi sinar matahari, kecepatan dan arah angin. Proses analisis mencakup tahapan pengumpulan data, optimalisasi praproses (reduksi, transformasi, pembersihan data), normalisasi menggunakan Min-Max Scaling, pemodelan, dan evaluasi. Model regresi linier dibangun dan dievaluasi menggunakan metrik Mean Squared Error (MSE) dan Root Mean Squared Error (RMSE). Hasil evaluasi model menunjukkan performa prediktif dengan nilai MSE sebesar 0,00401 dan RMSE sebesar 0,06332. Temuan ini menunjukkan hasil sangat baik bila dibandingkan dengan sejumlah penelitian sebelumnya, hasil ini tergolong kompetitif, bahkan mengungguli beberapa pendekatan lain yang lebih kompleks secara komputasional, sehingga dapat digunakan sebagai metode awal yang efisien untuk memprediksi curah hujan harian dan berpotensi dimanfaatkan dalam sektor pertanian dan mitigasi cuaca di wilayah perkotaan.
Penetration Testing Untuk Menguji Tingkat Keamanan Sistem Pada Academic Information System (AISnet) Institut Teknologi Garut Dengan Metode Zero Entry Hacking (ZEH) Erwin Gunadhi Rahayu, Raden; Ramdhan, Dekha; Kurniadi, Dede
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.22-2.2149

Abstract

Banyak perguruan tinggi di Indonesia diwajibkan untuk mengadopsi pengelolaan teknologi informasi yang transparan, efisien, dapat diandalkan, dan bertanggung jawab sebagaimana diamanatkan oleh PERMENDIKBUDRISTEK Nomor 53 Tahun 2023. Salah satu sistem yang berperan penting dalam pengelolaan data akademik adalah Sistem Informasi Akademik (AISnet) milik Institut Teknologi Garut (ITG). Sistem ini menyimpan data sensitif yang berpotensi menimbulkan risiko tinggi jika tidak dilindungi dengan baik. Penelitian ini bertujuan untuk mengidentifikasi, menganalisis, dan mengukur tingkat kerentanan keamanan pada AISnet sorta menilai kesesuaian nya dengan regulasi nasional, dan memberikan rekomendasi mitigasi berdasarkan prinsip CIA (Confidentiality, Integrity, Availability). Metode yang digunakan adalah penetration testing dengan pendekatan Zero Entry Hacking (ZEH), serta pemindaian kerentanan menggunakan tools Nmap dan OWASP ZAP, dengan pengukuran risiko berdasarkan Common Vulnerability Scoring System (CVSS) versi 3.1. Hasil penelitian menemukan lima kerentanan: satu dengan tingkat risiko tinggi, tiga dengan tingkat risiko sedang, dan satu dengan tingkat risiko rendah, namun hanya satu yang berhasil dieksploitasi secara langsung. Kerentanan dengan skor CVSS tertinggi berada pada tingkat medium (4.8), sementara tiga lainnya berada pada tingkat none. Penelitian ini berkontribusi dalam upaya peningkatan keamanan aplikasi akademik di lingkungan perguruan tinggi melalui pendekatan praktis dan pemetaan risiko teknis. Dengan demikian, AISnet belum sepenuhnya memenuhi standar keamanan yang ditetapkan dalam regulasi, dan perlu dilakukan mitigasi teknis seperti konfigurasi ulang header keamanan serta pembaruan pustaka program yang rentan.
Perancangan Sistem E-Voting Mahasiswa Berbasis Web Menggunakan RUP untuk Efisiensi Pemilihan Ketua Organisasi Kampus Rahayu, Raden Erwin Gunadhi; Kurniadi, Dede; Pratama, Reifalga Gais
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.22-2.2267

Abstract

The Student Executive Board (BEM) is an intra-campus student organization that serves as the executive body at the university level, led by a BEM president. Currently, the BEM election is conducted conventionally, resulting in a decline in voter participation due to factors such as students being on vacation, having class schedules, or lacking interest in organizational activities. Therefore, a more effective election process is needed—one solution being the implementation of E-Voting, which allows all students to participate digitally. The objective of this study is to develop an e-voting system that facilitates students in electing the BEM president of the Institut Teknologi Garut, making it easier for them to exercise their voting rights. The method used is the Rational Unified Process (RUP), which consists of four main phases: Inception, Elaboration, Construction, and Transition. The black box testing results indicate that all system functions operate according to the defined scenarios. Meanwhile, beta testing involving 33 respondents achieved a satisfaction rate of 88.48%, categorized as strongly agree. These results demonstrate that the developed e-voting system meets users’ functional requirements, simplifies the committee’s work in managing the election process, and provides students with convenient access to candidate information, vision and mission statements, as well as real-time election results. The contribution of this research lies in presenting an e-voting system that is not only efficient, dynamic, and flexible but also developed using the iterative RUP methodology, ensuring software quality and alignment with student organizational needs. Moreover, it serves as a reference for implementing digital voting technology within academic environments.
Implementasi Modul Tanda Tangan Digital dengan Superenkripsi RSA-ECDSA dan SHA-512 Pada Sistem Informasi Akademik Sekolah Ajif, Arvin Muhammad; Nuraeni, Fitri; Kurniadi, Dede; Elsen, Rickard
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.22-2.2353

Abstract

Keamanan dokumen akademik pada sistem informasi sekolah merupakan aspek krusial untuk menjamin integritas dan keaslian data. Penelitian ini mengusulkan pengembangan modul tanda tangan digital berbasis superenkripsi RSA–ECDSA dengan fungsi hash SHA-512 pada sistem Buku Induk Nilai berbasis web. Metode pengembangan menggunakan Rapid Application Development (RAD) untuk menghasilkan prototipe cepat sesuai kebutuhan pengguna. Proses implementasi meliputi hashing dokumen menggunakan SHA-512, enkripsi hasil hash dengan RSA, penandatanganan menggunakan ECDSA, serta penyisipan tanda tangan digital dalam bentuk QR-Code ke dokumen ekspor. Pengujian dilakukan pada 30 sampel dokumen dengan variasi ukuran 10 KB–1 MB melalui pendekatan blackbox testing. Hasil uji menunjukkan tingkat keberhasilan verifikasi dokumen sebesar 100%, waktu rata-rata proses penandatanganan 1,25 detik, dan waktu verifikasi 0,98 detik. Sistem terbukti mampu mendeteksi perubahan sekecil 1 byte, menjaga integritas dokumen, dan memberikan tingkat keamanan setara 112–128 bit sesuai standar kriptografi modern. Temuan ini menegaskan efektivitas superenkripsi RSA–ECDSA dalam meningkatkan keamanan dokumen akademik serta menawarkan solusi yang efisien, portabel, dan dapat diverifikasi secara mandiri melalui QR-Code.
Text Mining-Based Sentiment Analysis of ChatGPT Users on X Platform Using Naïve Bayes Algorithm Alkamal, Chaerulsyah; Kurniadi, Dede
Journal of Applied Information System and Informatic (JAISI) Vol 3, No 2 (2025): November 2025
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v3i2.17062

Abstract

ChatGPT (Generative Pre-trained Transformer) is a natural language processing model based on Artificial Intelligence (AI) that is currently trending. ChatGPT is widely used by the public because it is considered very helpful in completing tasks or solving problems faced by society. However, as the use of ChatGPT grows, questions have arisen about how people perceive and respond to interactions with ChatGPT present. The use of ChatGPT not only creates opportunities but also new challenges in understanding user perceptions and sentiments toward this technology. For example, various controversies have emerged regarding the presence of ChatGPT. Therefore, this research aims to determine the sentiments of society, particularly among users of social media X, toward ChatGPT, and whether most of society views it positively, negatively, or neutrally. By conducting sentiment analysis and implementing Text Mining, the tendency of a particular sentiment or opinion, whether it leans toward positive, negative, or neutral, can be obtained relatively easily. The method used in this research is SEMMA (Sample, Explore, Modify, Model, Assess) with Naïve Bayes as the algorithm to be implemented. To evaluate the model, a Confusion Matrix is used. The sentiment analysis results show that out of a total of 1,314 data points, 39.4% were positive, 37.7% were neutral, and 22.9% were negative. The classification model achieved an accuracy of 72.78%, which is considered quite good.
Hospital Virtual Tour Website Design Using Multimedia Development Life Cycle Kurniadi, Dede; Rahmi, Murni Lestari; Nurhaliza, Nabila Putri
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.3832

Abstract

In 2023, Indonesia recorded 3,155 hospitals spread across the country, comprising 2,636 general and 519 specialized hospitals. Although the number is significant, not all community members have easy, direct access to hospitals. To overcome this challenge, virtual tour technology has emerged as a relevant solution to facilitate access to information and increase the transparency of hospital services. This project aims to develop a virtual tour website for Medina Hospital in Garut Regency. The project uses a systematic development method known as the Multimedia Development Life Cycle (MDLC), which includes stages from concept to distribution. The resulting website allows users to explore various hospital areas, such as the Main Building, Emergency Room, Tulip Building, and Chemotherapy Poly, through a virtual 360-degree panoramic view. Additionally, building and floor selection features are designed to make it easy for users to navigate. This website is also equipped with a chatbot feature that helps users find the location of a specific room and video tutorial guides that provide instructions for using the website. The results of the black box test show that the website functions well without any significant technical problems, so it is ready for public use. This website is expected to increase accessibility and convenience for users in obtaining information about the facilities and rooms available at Medina Hospital.
Enhancing Urban Waste Management: An IoT-based Automated Trash Volume Monitoring System Ayu Latifah; Dede Kurniadi; Muhammad Sanusi
Jurnal Elektronika dan Telekomunikasi Vol. 24 No. 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.560

Abstract

Industrial development nowadays affects the increase in types of packaging waste which causes the accumulation of waste that has the potential to damage the environment. This research uses an Internet of Things for Automatic Waste Volume Monitoring System, so that waste management in an area can be improved. The purpose of this research is to make it easier for trashman to monitor the volume of the garbage collector on the notification feature. The research method used is the Rapid Application Development methodology with the Requirement Planning stage to analyze and identify the purpose of the system, then design the tools and system and create tools and system. Testing is used to evaluate the results of the tools and system. The result of the research is a prototype of an Internet of Things-based for Automatic Waste Volume Monitoring System tool equipped with a website-based monitoring system and for each user. Apart from that, the system which is equipped with a sensor that can detect the volume of the garbage collector is also equipped with an automatic opening and closing sensor to maintain the health of its users to provide answers to the problem of waste, especially in urban areas. Keywords: Internet of Things, Monitoring System, Waste, Waste Volume.
Natural Disaster Classification Using MobileNet with Transfer Learning Asri Mulyani; Dede Kurniadi; Gina Suciyana
Engineering Science Letter Vol. 5 No. 01 (2026): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/IISTR.esl.001682

Abstract

Natural disasters are events caused by natural phenomena that cause massive damage and pose a threat to human safety. Based on EM-DAT data (2000–2025), there have been more than 10,000 global disasters, resulting in millions of casualties and trillions of US dollars in losses. Notably, 2024 saw US$320 billion in losses due to extreme weather. This condition emphasizes the importance of an accurate disaster classification system for mitigation and rapid response. This study aims to develop a natural disaster image classification model using the Convolutional Neural Network (CNN) method with a Transfer Learning approach using the MobileNetV2 architecture, which is known to be efficient and lightweight. This study employs the SEMMA (Sample, Explore, Modify, Model, Assess) methodology, beginning with sampling, which involves collecting image data from various open sources, such as Kaggle and previous literature. The data is then processed through the selection, cleaning, and normalization stages. Data exploration is conducted to understand class distribution and detect data imbalance. To overcome this problem, the Synthetic Minority Over-sampling Technique (SMOTE) and image data augmentation (such as rotation, flipping, and contrast adjustment) were used to enrich the training data variation. The pre-trained MobileNetV2 model was then retrained using the modified data, with adjustments to hyperparameters to achieve optimal performance. The evaluation was conducted using various metrics, namely accuracy, precision, recall, F1-score, confusion matrix, and AUC-ROC curve. The results demonstrate that the combination of Transfer Learning, data augmentation, and SMOTE can enhance model performance, achieving an accuracy of up to 99% and an AUC-ROC above 0.99 on public test data. Additionally, testing on 26 private test images yielded an accuracy of 92.31%, with 24 of the 26 images classified correctly. These findings confirm that the combination of MobileNetV2, augmentation, and SMOTE effectively improves multi-class classification performance on natural disaster images. Furthermore, the use of a relatively lightweight model makes this system more efficient to implement on devices with limited resources, thereby supporting disaster mitigation and rapid response efforts.
Co-Authors Abania, Nia Abdulah, Farhan Naufal Abdurrahman, Fauzan Abdussalam, Iqbal Abdussalam Abdusy Syakur Amin Ade Sutedi Ade Sutedi Ade Sutedi, Ade Adiwangsa, Alfian Akmal Agus Hermawan Agus Nugraha Agustiansyah, Yoga Ahmad Habib Lutfi Aisyah Fitri Islami Ajif, Arvin Muhammad Ajiz, Rafi Nurkholiq Akbar, Gugun Geusan Alamsyah, Renaldy Aldy Rialdy Atmadja Ali Djamhuri Alisha Fauzia, Fathia Alkamal, Chaerulsyah Alvin Zainal Musthafa Alwan Nul Hakim Amrulloh, Muhammad Fawaz Andri Saepuloh Aneu Suci Nurjanah Asri Indah Pertiwi Asri Mulyani Asri Rahayu Ningsih Ayu Latifah Ayu Suryani B. Balilo Jr , Benedicto B. Balilo Jr, Benedicto Balilo Jr, Benedicto B. Barlinti Maryam Budik Burhanuddin, Ridwan Cahya Mutiara Dede Sopiah Della Adelia Anugrah Detila Rostilawati Dewi Tresnawati Dhea Arynie Noor Annisa Diar Nur Rizky Diaz Radhian Salam Diazki, Moch Haiqal Diki Jaelani Dini Destiani Siti Fatimah Diva Nuratnika Rahayu Dudy Mohammad Arifin Dyka Afan Afthori Dzikri Nursyaban Efi Sofiah Elsen, Rickard Eri Satria Erick Fernando B311087192 Erwan Yani Erwan Yani, Erwan Erwin Gunadhi Rahayu, Raden Erwin Widianto Fadillah, Hadi Bagus Faisal, Ridwan Nur Fajar Rahman Faturrohman, Nadhif Fauziah, Fathia Alisha Fauziyah, Asyifa Fikri Zakaria Rahman Firmansyah, Marshal Fitri Nuraeni Fitriani, Ranti Fitriyani Gelar Panca Ginanjar Ghilman Hasbi Basith Gina Suciyana Gisna Fauzian Dermawan H. Bunyamin Hadi Wijaya, Tryana Haekal, Mohamad Fikri Hamzah Nurrifqi Fakhri Fikrillah Hari Ilham Nur Akbar Hasfi Syahrul Ramadhan Hazar, Aura Fitria Helmalia P, Nabilla Febriani Hendri Aji Pangestu Heri Johari Heri Suhendar Heri Suhendar Hilmi Aulawi Ida Farida Ikbal Lukmanul Hakim Ikhrom, Taufik Darul Ikmal Muhammad Fadhil Ilham Muhamad Ramdan Imas Dewi Ariyanti Inda Muliana Indra Trisna Raharja Indri Tri Julianto Indri Tri Julianto Intan Sri Fatmalasari Irawan, Muhammad Randy Irfan Qusaeri Irfanov, Muhammad Irsyad Ahmad Iskandar, Joko Jajang Jaenudin Jajang Romansyah Jembar, Tegar Hanafi Khaerunisa, Nisrina Khoerunisa, Sarah Kusmayadi, Kusmayadi Latif, A. Abdul Latifah, Ayu Leni Fitriani Leni Fitriani, Leni Lia Amelia Lindayani, Lindayani M. Mesa Fauzi Mahendra Akbar Musadad Maulana , Muhammad Arief Maulana, Ahmad Rakha Maulana, Ilham Ahmad Maulana, Yusep Maulina, Wina Senja Meta Regita Mochamad Deni Ramdani Muhamad Solihin Muhammad Abdul Yusup Hanifah Muhammad Affan Al Sidqi Muhammad Rikza Nashrulloh Muhammad Saleh Muhammad Sanusi Muhammad Sanusi Muhammad Wildan Muliana, Inda Muttaqin, Moch Riefky Chaerul Nita Nurliawati Nugraha, M Aldi Nugraha, Nikolas Pranata Nuraisah Nuraisah Nurfadillah, Rifa Sri Nurhaliza, Nabila Putri Nurlisina, Elisa Nurpatmah, Lisna Nursa'diah, Rifania Sapta Nursyaban, Dzikri Nurul Fauziah Nurul Khumaida Nurzaman, Muhammad Zein Omar Komarudin Pratama, Reifalga Gais Prayoga, Moch. Gumelar Putri, Mita Hidayani Raharja, Indra Trisna Rahayu, Diva Nuratnika Rahayu, Raden Erwin Gunadhi Rahmat, Agil Rahmi, Murni Lestari Rajab, Ilham Syahidatul Ramdhan, Dekha Ramdhani Hidayat Randy Wardan Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Rifky Muhammad Shidiq Rinda Cahyana Rinda Cahyana Risfiyanisa Fasha Rizki Esa Saputra Rizki Fauziah Roeri Fajri Firdaus Rohman, Fauza Rohmanto, Ricky Rostina Sundayana Rubi Setiawan Rudi Sutrio Safei P, M Iqbal Ismail Sarah Khoerunisa Sermana, Elsa Maharani Sheny Puspita Indriyani Siti Rima Fauziyah Sofwan Hamdan Fikri Sopiah, Dede Sri Intan Multajam Sri Mulyani Lestari Sri Rahayu SRI RAHAYU Sri Rahayu Syahrul Sidiq Syaiffani, Moch Assami Tina Maryana Undang Indrajaya W, Faksi Ahmad Wahidah, Tania Agusviani Wiwit Septiani Yanti Sofiyanti Yayat Supriatna Yoga Handoko Agustin Yosep Septiana Yosep Septiana Yuni Yuliani Yusfar Ilhaqul Choer Yusuf Mauluddin Zaqiah, Neng Nufus Zulkarnaen, Ade Iskandar