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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 JITK (Jurnal Ilmu Pengetahuan dan Komputer) 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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THE ROLE OF FEATURE SELECTION IN ENHANCING THE ACCURACY OF AI ASSISTANT AUTO-LABELING Julianto, Indri Tri; Kurniadi, Dede; B. Balilo Jr, Benedicto; Rohman, Fauza
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 1 (2024): Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i1.3364

Abstract

Abstract: The development of AI assistants such as Gemini and ChatGPT can significantly assist in daily human tasks. In the field of Sentiment Analysis, AI assistants can be utilized as an automated labeling alternative to provide positive, negative, or neutral sentiments within a dataset. This research aims to enhance the performance of AI assistants in automated labeling processes by employing the Feature Selection algorithm, specifically Forward Selection. The methodology involves utilizing the Naïve Bayes and K-NN algorithms, and subsequently improving accuracy through the Feature Selection algorithm. The evaluation is conducted using K-Fold Cross Validation. Research findings indicate an improvement in the accuracy of the best model, which is ChatGPT, when using the Naïve Bayes algorithm and Shuffled Sampling technique. The initial accuracy of 79.09% increased to 87.18% after Feature Selection was applied. This demonstrates the effectiveness of Feature Selection, particularly Forward Selection, in enhancing the accuracy performance of the model.            Keywords: ai; assistant; chat gpt; feature selection; gemini.  Abstrak: Pekembangan Asisten AI seperti Gemini dan Chat GPT dapat membantu pekerjaan manusia sehari-hari. Dalam bidang Analisis Sentimen, Asisten AI dapat digunakan sebagai alternatif pelabelan otomatis untuk memberikan sentimen positif, negatif atau netral dalam suatu dataset. Penlitian ini bertujuan untuk meningkatkan performa yang dihasilkan oleh Asisten AI dalam proses pelabelan otomatis menggunakan Algortima Feature Selection yaitu Forward Selection. Metode yang digunakan adalah dengan menggunakan Algoritma Naïve Bayes dan K-NN kemudian hasil akurasi akan ditingkatkan menggunkan Algoritma Feature Selection. Evaluasi yang digunakan adalah K-Fold Cross Validation. Hasil penelitian menunjukkan peningkatan akurasi model terbaik berada pada Chat GPT dengan menggunakan Algoritma Naïve Bayes dan Teknik Shuffled Sampling, dari nilai akurasi awal sebesar 79.09%, setelah ditingkatkan menggunakan Feature Selection, maka nilai akurasinya meningkat menjadi 87.18%. Hal ini membuktikan peran Feature Selection, dimana yang digunakan adalah Forward Selection dalam meningkatkan akurasi ternyata memang efektif dalam meningkatkan performa akurasi model. Kata kunci: ai; assisten; chat gpt; feature selection; gemini 
Perancangan Sistem Informasi Geografis Pemetaan Lokasi Penghasil Kopi di Kabupaten Garut Menggunakan Rational Unified Process Nashrulloh, Muhammad Rikza; Kurniadi, Dede; Maulana, Yusep; Muttaqin, Moch Riefky Chaerul
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1247

Abstract

Coffee is a popular drink nowadays because many people like it. However, farmers and coffee drinkers in Garut Regency face the problem of not having access to real-time information about the geographical location of coffee producers in the region. Therefore, this research aims to develop a Geographic Information System (GIS)-based system that can provide spatial information about coffee producing locations in Garut Regency more easily. The methodology used in this research is the Rational Unified Process (RUP) which consists of inception, elaboration and construction stages. In this stage, data modeling will be carried out using Unified Modeling Language (UML) and system testing using Black-Box Testing. The final result of this research is the success of developing a Geographic Information System (GIS) for mapping coffee producing locations in Garut Regency. This system can be accessed via the web and provides spatial information about the geographic location of coffee producers easily and accurately. Alpha testing using the black-box testing method has been carried out to test various features in the system. The test results show that all features in the system work well and as expected. This testing also helps identify and fix some potential issues before the system is fully rolled out. With this system, it is hoped that it can help increase efficiency in obtaining information about coffee producing locations in the region.
Perancangan Sistem Informasi Manajemen Ijazah dan Transkrip Nilai Baru di Institut Teknologi Garut Nuraeni, Fitri; Kurniadi, Dede; Hadi Wijaya, Tryana
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1395

Abstract

Submission of diplomas and grade transcripts is an important process in the management of education in tertiary institutions. However, at the Garut Institute of Technology (ITG), the process of submitting diplomas and grade transcripts is still conventional, resulting in obstacles such as long queues and difficulty accessing students who are outside the campus. To overcome these problems, this study aims to design and develop an efficient and integrated management information system for filing new diplomas and grade transcripts. The method used in this study is the Extreme Programming (XP) method. Software development is carried out by utilizing web technology and features such as validation, submission monitoring, email notifications, and submission logs. Students can apply for diplomas and transcripts online through the platform provided, fill out the online submission form, and upload the required documents. Related units, such as BAAK, Libraries, BAK, CDC, LP3B, and Study Programs, can carry out validation and verification processes online. Students can also monitor the progress of their submissions through the monitoring feature and receive notifications via email.
Perancangan Aplikasi Pengelolaan Data Penjualan dan Pemesanan di SKMart Berbasis Web Rahayu, Sri; Kurniadi, Dede; W, Faksi Ahmad
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1405

Abstract

A sales and ordering data management application is very necessary in improving performance in a company. SKMart still applies conventional methods or uses manual methods in ledgers, which is in accordance with the results of interviews with the owner that using manual methods causes the process of managing sales and ordering data, searching for data and calculating transaction data to take quite a long time, even when data loss. The aim of this research is to design a web-based sales and ordering data management application that can make it easier for shop owners to manage data, record item data and recap each transaction. With a web-based sales and ordering data management application, it is able to make it easier for users (admins) to obtain the data needed so that the process of managing sales and ordering data that occurs at SKMart stores becomes efficient. Regarding improving this application, this research uses a methodology called RUP, the stages of which are inception, elaboration, contraction and transition. Then use Unified Modeling Language modeling. The result of this research is a web-based sales and ordering data management application, which is able to facilitate the management of information data needed by users (admins) to manage goods sales data, goods ordering data, transaction data.
Penerapan Algoritma Pathfinding Pada Game Petualangan Pemadam Kebakaran Menggunakan Metode Learning Instructional Design Kurniadi, Dede; Tresnawati, Dewi; Fitriani, Ranti
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 1 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i1.8514

Abstract

Firefighters have responsibilities in fire and rescue incidents that do not exist in fire incidents, such as evacuating wasp nests, rescuing animals trapped in trees or wells, and so on. The importance of understanding the duties of a fire extinguisher is toprovide awareness to the public that with the existence of a fire extinguisher, the management of environmental resources is better maintained to realize environmental safety and security from the dangers of fire disasters. With very rapid technological information, presenting firefighting duties can be more interesting if presented with an adventure-themed 3D educational game. This research uses the Digital Game-Based Learning Instructional Design (DGBL-ID) method and applies a pathfinding algorithm to the path thatwill be taken. This research produces an Android-based firefighting adventure game application. Testing the level of user satisfactionobtained very satisfactory results, which were measured based on Black Box testing with the Guttman Scale method calculation.
Indonesian Sign Language Alphabet Image Classification using Vision Transformer Agustiansyah, Yoga; Kurniadi, Dede
Journal of Intelligent Systems Technology and Informatics Vol 1 No 1 (2025): JISTICS, March 2025
Publisher : Aliansi Peneliti Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64878/jistics.v1i1.5

Abstract

Effective communication is fundamental for social interaction, yet individuals with hearing impairments often face significant barriers. Indonesian Sign Language (BISINDO) is a vital communication tool for the deaf community in Indonesia. However, limited public understanding of BISINDO creates communication barriers, which necessitate an accurate automatic recognition system. This research aims to investigate the efficacy of the Vision Transformer (ViT) model, a state-of-the-art deep learning architecture, for classifying static BISINDO alphabet images, exploring its potential to overcome the limitations of previous approaches through robust feature extraction. The methodology involved utilizing a dataset of 26 BISINDO alphabet classes, which underwent comprehensive preprocessing, including class balancing via augmentation and image normalization. The Google/vit-base-patch16-224-in21k ViT model was adapted with a custom classification head and trained using a two-phase strategy: initial feature extraction with a frozen backbone, followed by full network fine-tuning. The fine-tuned Vision Transformer model demonstrated exceptional performance on the unseen test set, achieving an accuracy of 99.77% (95% CI: 99.55%–99.99%), precision of 99.77%, recall of 99.72%, and a weighted F1-score of 0.9977, significantly surpassing many previously reported methods. The findings compellingly confirm that the ViT model is a highly effective and robust solution for BISINDO alphabet image classification, underscoring the potential of advanced Transformer-based architectures in developing accurate assistive communication technologies to benefit the Indonesian deaf and hard-of-hearing community.
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.
Co-Authors A. Abdul Latif Abania, Nia Abdulah, Farhan Naufal Abdurrahman, Fauzan Abdussalam, Iqbal Abdussalam Abdusy Syakur Amin Ade Sutedi Ade Sutedi Ade Sutedi, Ade Adiwangsa, Alfian Akmal Agil Rahmat 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 Benedicto B. Balilo Jr 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 Endang Prayoga Hidayatulloh 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 Ilham Syahidatul Rajab 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 Latifah, Ayu Leni Fitriani 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 Murni Lestari Rahmi Muttaqin, Moch Riefky Chaerul Nabila Putri Nurhaliza 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 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