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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) JURNAL PENDIDIKAN TAMBUSAI JETL (Journal Of Education, Teaching and Learning) Ensiklopedia of Journal JTP - Jurnal Teknologi Pendidikan JISIP: Jurnal Ilmu Sosial dan Pendidikan Jurnal Teknologi Informasi dan Pendidikan Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Pengabdian Masyarakat Asia Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) MANAJERIAL: Jurnal Inovasi Manajemen dan Supervisi Pendidikan COMMUNITY : Jurnal Pengabdian Kepada Masyarakat ACADEMIA: Jurnal Inovasi Riset Akademik Reflection Journal Priviet Social Sciences Journal Lentera: Multidisciplinary Studies Jurnal Teknik Komputer dan Informatika (JTeKI) Journal of Hypermedia & Technology-Enhanced Learning Journal of Innovative and Creativity Journal of Authentic Research HUMANIORASAINS Saturnus: Jurnal Teknologi dan Sistem Informasi Lentera: Multidisciplinary Studies Jejak digital: Jurnal Ilmiah Multidisiplin Jurnal Merah Putih Sekolah Dasar
Dony Novaliendry
Electronic Department, Engineering Faculty, Universitas Negeri Padang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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An Artificial Intelligence-Based Mobile Application for Early Detection of Dyslexia Using Recurrent Neural Network Rahman, Muhamad Fathur; Darni, Resmi; Novaliendry, Dony; Budayawan, Khari
Journal of Hypermedia & Technology-Enhanced Learning Vol. 4 No. 1 (2026): Journal of Hypermedia & Technology-Enhanced Learning—Future Education
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.217

Abstract

Dyslexia is a neurodevelopmental learning disorder that significantly affects children’s reading and writing skills despite normal intelligence, and delayed identification may lead to long-term academic and psychosocial consequences. Existing dyslexia screening methods rely heavily on expert-driven assessments that are time-consuming, subjective, and difficult to scale in non-clinical settings. Although recent studies have explored artificial intelligence (AI) approaches for dyslexia detection, many remain limited to single-modality data, offline analysis, or non-mobile implementations, restricting their practical applicability for early screening. This study aimed to develop an AI-based mobile application for early dyslexia detection by leveraging sequential text and speech data through a Recurrent Neural Network (RNN) architecture, specifically the Gated Recurrent Unit (GRU). A Research and Development (R&D) methodology was employed, encompassing requirements analysis, system design, GRU model training, mobile application development with Flutter, and system integration with a RESTful backend and a MySQL database. The GRU model was trained on preprocessed reading text and voice recordings to capture temporal patterns associated with dyslexia-related reading behaviors. Experimental results indicate that the proposed model achieved reliable classification performance in identifying dyslexia-related patterns, while the mobile application successfully delivered real-time screening results and maintained longitudinal assessment records. The findings demonstrate that integrating lightweight sequential deep learning models into mobile platforms offers a scalable and accessible solution for early dyslexia screening, supporting independent use by parents and educators outside clinical environments.
Web-Based Inventory Management System for Educational Training: Integrating EOQ and ARIMA for Data-Driven Learning Syamsi, Alkindi; Irfan, Dedy; Novaliendry, Dony; Sandra, Randi Proska
Journal of Hypermedia & Technology-Enhanced Learning Vol. 4 No. 1 (2026): Journal of Hypermedia & Technology-Enhanced Learning—Future Education
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.218

Abstract

Manual inventory recording and heuristic ordering practices remain common among Micro, Small, and Medium Enterprises (MSMEs), often leading to inaccurate demand estimation, excessive holding costs, and stockouts. This study develops and evaluates a web-based inventory information system that integrates Autoregressive Integrated Moving Average (ARIMA) forecasting with the Economic Order Quantity (EOQ) model to improve decision accuracy and cost efficiency. The system uses CodeIgniter 3 and MySQL and incorporates a Python-based time-series forecasting engine. Historical sales data were modeled using ARIMA, and the optimal specification was selected based on Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The ARIMA(1,1,1) model achieved a Mean Absolute Percentage Error (MAPE) of 8.47%, indicating high forecasting accuracy for operational planning. The forecasted annual demand was integrated into the EOQ framework to determine the optimal order quantity, Reorder Point (ROP), and probabilistic Safety Stock. A one-year cost simulation demonstrated that the EOQ-based policy reduced total inventory costs by 22.73% compared with the existing approach. Functional validation through Black-Box testing confirmed full compliance with specified requirements. These findings demonstrate that integrating predictive analytics with classical inventory optimization enhances operational efficiency and reduces total inventory cost. The system provides a practical, data-driven inventory management framework for MSMEs undergoing digital transformation.
Web-Based Dental Caries Detection Using a Convolutional Neural Network and OpenCV Ahmad Dzaki Alfarouq; Ahmadul Hadi; Dony Novaliendry; Khairi Budayawan
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1059

Abstract

Early detection of dental caries presents a significant challenge, particularly in regions with limited access to healthcare services. While many AI models focus on binary classification, real-world applications must handle irrelevant inputs to be robust. This study develops and evaluates a web-based system using a Convolutional Neural Network (CNN) for a three-class dental image classification task: 'Caries', 'No Caries', and 'Not a Tooth'. The method employs transfer learning with the MobileNetV3 Small architecture, trained on a custom augmented dataset of 5,811 images. The model was implemented into an accessible web application using the Flask framework and OpenCV library, supporting both image upload and real-time detection. On the test set, the model achieved an overall accuracy of 93%. It demonstrated exceptional performance in rejecting irrelevant images and high reliability in identifying caries. This study presents a practical and robust tool for initial dental screening, highlighting the importance of a dedicated 'non-target' class for building trustworthy real-world AI applications in tele-dentistry.
A Aplikasi Web untuk Klasifikasi dan Deteksi Penyakit Daun Tomat Menggunakan Model CNN dan YOLO Dony Novaliendry; Fachri Rizal; Muhammad Anwar; Dedy Irfan
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1073

Abstract

This study developed a web-based application for the classification and detection of tomato leaf diseases using Convolutional Neural Network (CNN) and You Only Look Once (YOLO) models. The research followed a Research and Development approach that consisted of requirement analysis, system design, implementation, model training, and testing. The CNN model was trained to classify tomato leaf images into specific disease categories, while the YOLO model was designed to detect and localize diseased areas in real time. Both models were integrated into a Flask-based web system to provide accessible and interactive functionality through standard web browsers. Testing results showed that the CNN model achieved an accuracy of 96.1%, effectively identifying disease types such as Early Blight and Bacterial Spot. The YOLO model reached a mean Average Precision (mAP) of 87.3% for real-time detection, successfully locating and labeling infected regions on tomato leaves. The integration of CNN and YOLO models demonstrated strong classification and detection performance, offering an efficient and scalable solution to support early disease diagnosis and digital transformation in precision agriculture.
Utilization of plastic waste using the ecobrick method in Nagari Tanjung Dony Novaliendry; Muhammad Devin Rahadi; Ilsa Amalinda; Jumaita Lestari; Nurul Aieni; Vanisa Tsuraya Yahmanita; Kharisa Ramadhani; Kiki Ardika
Priviet Social Sciences Journal Vol. 5 No. 12 (2025): December 2025
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v5i12.1308

Abstract

Pollution caused by the continued practice of dumping waste into the river and burning it has become a serious problem in Nagari Tanjung, Koto VII Subdistrict, and Sijunjung Regency. The community and village government have not felt sufficiently supported by the existence of a final disposal site (TPA), so residents—especially housewives—dispose of waste around the river, and some residents burn it. This has led to pollution and negative health and environmental effects. Therefore, a community service program was implemented that involved educating the community on waste management and hands-on practice in making ecobricks as a practical approach to utilizing plastic waste. The program ran for three weeks, from June 19, 2025, to July 10, 2025, in Jorong Ujung Padang, involving 44 participants from the beneficiary community members, nagari officials, and students. Throughout the implementation, the activities were guided and facilitated by two supervising lecturers. The stages included delivering material on the importance of waste management, training on Ecobricks production, and mentoring in applying environmentally friendly concepts. The results showed increased community awareness in managing plastic waste and the successful production of 100 ecobricks, which were used as garden elements.
Rancang Bangun Sistem Pelayanan Surat Berbasis Web dengan Penerapan Tanda Tangan Digital di Nagari Bukit Bais Mukhtarijal Mukhtarijal; Hadi Kurnia Saputra; Dony Novaliendry; Ahmaddul Hadi
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 4 No. 2 (2026): April : Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v4i2.1568

Abstract

Administrative letter services at the village (nagari) level are still largely conducted using conventional methods, resulting in various issues such as limited service hours, slow processing times, and risks of document loss. This study aims to develop a web-based letter service system with the implementation of digital signatures in Nagari Bukit Bais to improve efficiency, security, and transparency of public services. The research adopts the Agile Development method with an iterative approach, including requirement analysis, system design, implementation, and testing. The developed system enables citizens to submit requests online and is equipped with features such as officer verification, digital signing by the village head, automatic notifications, digital archiving, and document verification using QR Codes. Security mechanisms are implemented using SHA-256 cryptographic hashing and RSA-2048 digital signature algorithms, supported by X.509 digital certificates. Functional testing using end-to-end methods shows that all system features operate successfully without failures, while non-functional testing confirms the reliability of document security and integrity. The resulting system is able to automate the entire service process, reduce processing time, and ensure document authenticity and security. Therefore, this system can serve as a solution to support the digital transformation of public services at the village level.
PEMANFAATAN VIRTUAL REALITY DALAM PENDIDIKAN PENERBANGAN: EVALUASI EFEKTIVITAS, TANTANGAN, DAN TRANSFER KETERAMPILAN MELALUI SYSTEMATIC LITERATURE REVIEW Rahmat; Maksum, Hasan; Novaliendry, Dony
Jurnal Merah Putih Sekolah Dasar Vol. 3 No. 3 (2026): JANUARI 2026
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jmpsd.v3i3.70776

Abstract

This research aims to evaluate the use of Virtual Reality (VR) technology in aviation education, with a focus on improving technical and non-technical skills, implementation challenges, and transferring skills to the real world. The method used is the Systematic Literature Review (SLR), which collects and analyzes scientific articles related to the use of VR in flight training. The results show that VR is effective in improving technical skills, such as aircraft navigation and aircraft control, as well as non-technical skills, such as decision-making and team communication in emergency situations. However, the main challenges facing aviation education institutions are cost and infrastructure, although VR provides significant benefits in terms of training flexibility and reduced reliance on physical simulators. Additionally, while VR improves skills in simulation, the transfer of those skills to the real world still requires further evaluation. In conclusion, VR has great potential to optimize flight training, but it requires integration with hands-on training in the field to ensure effective skill transfer. The study also suggests further research to develop more adaptive and effective VR training models in the context of aviation education.
Implementasi Algoritma Local Binary Pattern Histogram dan Haar Cascade Dalam Rancang Bangun Sistem Presensi Staf Puskesmas Kota Tais Aripianto , Natha Fahrezi Azra; Adri, Muhammad; Novaliendry, Dony; Dewi, Ika Parma
Journal of Authentic Research Vol. 5 No. 2 (2026): May
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/y7kspr85

Abstract

Digitalisasi presensi staf pada fasilitas kesehatan primer diperlukan untuk meningkatkan akurasi, efisiensi administrasi, dan akuntabilitas kehadiran. Penelitian ini bertujuan merancang dan mengimplementasikan prototipe sistem presensi staf Puskesmas Kota Tais berbasis pengenalan wajah dengan mengintegrasikan algoritma Haar Cascade untuk deteksi wajah dan Local Binary Pattern Histogram (LBPH) untuk pengenalan identitas. Metode pengembangan yang digunakan adalah prototype dengan tahapan communication, quick plan, modeling, construction of prototype, serta deployment and feedback. Sistem dibangun berbasis web dengan dua peran pengguna, yaitu admin dan staf, serta didukung pipeline pengenalan wajah yang mencakup deteksi wajah, validasi kualitas citra dan deteksi mata sebagai lapisan anti-spoofing, pra-pemrosesan Tan-Triggs, Difference of Gaussian, dan CLAHE, serta pengenalan LBPH dengan konfigurasi radius 2, neighbors 12, grid_x 8, dan grid_y 8. Hasil pengujian menunjukkan bahwa sistem mampu mengenali wajah staf terdaftar pada kondisi pencahayaan normal dengan skor kepercayaan 85,27%–85,60%, melampaui threshold 75%. Pada skenario impostor, skor turun menjadi 39,43%, sehingga akses berhasil ditolak. Pengujian blackbox terhadap 22 skenario mencatat keberhasilan fungsional 100%. Temuan ini menunjukkan bahwa integrasi Haar Cascade dan LBPH layak digunakan sebagai solusi presensi digital yang responsif, contactless, dan akuntabel pada lingkungan Puskesmas. The digitization of staff attendance in primary healthcare facilities is necessary to improve recording accuracy, administrative efficiency, and attendance accountability. This study aimed to design and implement a face-recognition-based attendance prototype for staff at Tais City Public Health Center by integrating Haar Cascade for face detection and Local Binary Pattern Histogram (LBPH) for identity recognition. The system was developed using the prototype method, consisting of communication, quick planning, modeling, prototype construction, and deployment and feedback. The web-based system supports two user roles, namely administrator and staff, and applies a layered face-recognition pipeline that includes face detection, image-quality validation, eye detection as an anti-spoofing layer, Tan-Triggs preprocessing, Difference of Gaussian, CLAHE, and LBPH recognition with radius 2, neighbors 12, grid_x 8, and grid_y 8. The test results showed that the system recognized registered staff faces under normal lighting conditions with confidence scores of 85.27%–85.60%, exceeding the 75% acceptance threshold. In the impostor scenario, the confidence score dropped to 39.43%, and access was successfully rejected. Blackbox testing on 22 functional scenarios produced a 100% success rate. These findings indicate that the integration of Haar Cascade and LBPH is feasible as a responsive, contactless, and accountable digital attendance solution for a public health center environment.  
Perancangan Sistem Informasi Kuliah Umum Terintegrasi dengan Presensi Geolokasi Berbasis Algoritma Haversine dan Geofencing Lubis, Miftahhul Hudaiza Asmara; Darni, Resmi; Novaliendry, Dony; Erdisna, Erdisna
Journal of Authentic Research Vol. 5 No. 2 (2026): May
Publisher : LITPAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/1qfa7g03

Abstract

Pengelolaan kuliah umum di perguruan tinggi sering menghadapi kelemahan pada pendaftaran, presensi, dan rekapitulasi kehadiran karena proses manual belum mampu menjamin validitas lokasi peserta. Penelitian ini bertujuan merancang sistem informasi kuliah umum berbasis web yang mengintegrasikan pendaftaran peserta, presensi geolokasi, dan monitoring kehadiran dengan validasi jarak menggunakan algoritma Haversine dan Geofencing. Penelitian menggunakan pendekatan rekayasa perangkat lunak deskriptif dengan model Waterfall melalui tahap analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan dengan ReactJS pada frontend, Express.js pada backend, dan MySQL sebagai basis data. Temuan utama menunjukkan bahwa sistem berhasil menyatukan modul mahasiswa dan admin dalam satu alur: mahasiswa dapat melihat kegiatan, mendaftar, melakukan presensi berbasis lokasi, dan meninjau riwayat; admin dapat mengelola kegiatan, ruangan, sesi presensi, pengguna, serta monitoring kehadiran. Validasi lokasi menggunakan Haversine membedakan presensi valid dan tidak valid berdasarkan radius; pada uji TC-11, presensi dalam radius 50 m dengan jarak sekitar 19,59 m diterima sebagai hadir, sedangkan presensi di luar radius ditolak. Pengujian black-box terhadap 20 skenario menghasilkan 20 skenario berhasil (100%). Kebaruan penelitian terletak pada integrasi pendaftaran, konfigurasi radius, validasi Haversine-Geofencing, device token anti-titip absen, dan monitoring presensi dalam konteks kuliah umum non-rutin. Public lecture management in higher education often suffers from fragmented registration, manual attendance, and slow recapitulation because conventional processes cannot verify the physical presence of participants. This study aims to design a web-based public lecture information system integrating participant registration, geolocation-based attendance, and attendance monitoring using the Haversine algorithm and Geofencing for distance validation. The study adopted a descriptive software engineering approach with the Waterfall model, covering requirements analysis, system design, implementation, testing, and maintenance. The system was implemented using ReactJS for the frontend, Express.js for the backend, and MySQL for data management. The findings show that the system integrates student and administrator workflows in a single platform: students can browse events, register, submit location-based attendance, and view participation history, while administrators can manage events, rooms, attendance sessions, users, and monitoring dashboards. The Haversine-based validation successfully distinguished valid and invalid attendance according to the configured radius; in test case TC-11, an attendance attempt within a 50 m radius at approximately 19.59 m was accepted, whereas out-of-radius attempts were rejected. Black-box testing across 20 scenarios resulted in 20 successful scenarios (100%). The novelty lies in integrating registration, configurable attendance radius, Haversine-Geofencing validation, anti-proxy attendance through device tokens, and real-time monitoring for non-routine academic public lectures.
Teknologi Blockchain dalam Sistem Crowdfunding Berbasis Donasi Alixa Arivya Tofer; Dony Novaliendry; Titi Sriwahyuni; Syafrijon; Oktoria
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.991

Abstract

This study successfully designed and developed a blockchain-based crowdfunding system using Base, implementing secure authentication through wallet addresses as the primary user identity. The system supports key features such as campaign creation, donation, and fund withdrawal. Campaign creation allows users to set fundraising targets and deadlines, donations are recorded directly on the blockchain to ensure transparency, and fund withdrawals can only be performed by the campaign owner once specific conditions are met. The implementation of smart contracts played a vital role in ensuring that all transactions were transparent, secure, and accountable. Furthermore, the system effectively eliminated the need for intermediaries, as typically seen in conventional platforms, by replacing the role of fund custodians with smart contracts. As a result, it no longer required high administrative fees, instead relying on a fixed and significantly lower gas fee. This approach enhanced public trust, reduced operational costs, and strengthened accountability in the management of donations through a decentralized and tamper-resistant system.
Co-Authors Afifah Rizki, Putri Afiful Azkia Agariadne Dwinggo Samala Ahmad Dzaki Alfarouq Ahmaddul Hadi Ahmaddul Hadi, Ahmaddul Ahmadul Hadi Aieni , Nurul Al-Ayyubi, Andi Sultan Aliman Alisyia Guspita Alixa Arivya Tofer Amalinda, Ilsa Amanda, Adittya Ambiyar, Ambiyar Amelia Zahra Andhika Herayono Andhika Herayono Apriliyanti, Resti Ardika, Kiki Arini Nisaul Khaira Arininisaulkhaira_17 Aripianto , Natha Fahrezi Azra Ariusni Ariusni Arrum Pramesti Asmar Yulastri Asmara, Delvi Astry Yulinda Elfani Aulia, Wahdatul Azhar, Viki Aziza, Dwi Ayu Azraril Azizah Budayawan , Khairi Budayawan, Khairi Budayawan, Khairi Budayawan, Khari Budi Prasetyo Cheng-Hong Yang, Cheng-Hong Chintia Ningsih, Nur Dedy Irfan Denny Kurniadi Deschika Dwi Alyanti Dimas Aulia Saputra Divia Tri Ananda Eko Indrawan Elfina, Eni Elgi Janliza Putra elida elida Elmi, Hafiz Elsa Sabrina Elsi Permata Sari Erdisna, Erdisna Erzitha, Ranny Fachri Rizal Farraz Hadyan Fathur Rahman Febby Apri Wenando Febby Elvia Firdaus Firdaus Fitri, Ernarisa Ganefri . Geovanne Farell Gladis Aprilia Rahayu Gusti, Tika Sylviani Hadi Kurnia Saputra Hadi Kurnia Saputra Hadyan, Farraz Hafilah Hamimi Hafilah Hamimi, Hafilah Hafiz Anugrah Hansi Effendi Hasan Maksum Hastria Effendi Helma Wadria Putri Helmi Wadria Putri Hibatullah, Hulwa Zuhrahriani Huda, Yasdinul Humaira Khairunnisa Ika Parma Dewi Ilahi, Akbar Ilsa Amalinda Insan Aljundi, Ihsanul Intan Maisa Tania Irma Yulia Basri Irnanda, Muhammad Fakhri Jumaita Lestari Kartini, Ridha Kasmita Kasmita Khafila Demara Kharisa Ramadhani Kiki Ardika Kurnia Saputra, Hadi Kurniadi, Denny Leoparlin, Alfridho Lestari , Jumaita Levran, Abel Lovita, Vega Lubis, Miftahhul Hudaiza Asmara Makmur, Brian Mardi Mardi Muhammad Adri Muhammad Adri Muhammad Anwar Muhammad Devin Rahadi Muhammad Farhan Muhammad Figli Fajar Mukhtarijal Mukhtarijal Mursyida, Lativa Musfara Zahra Nadien Mutia Ulfah Nathasya Utami Hakim Naufal , Naufal Naufan Islami, Fattan Nazifa Dwi Putri Noviko, Heri Nursi, Anita Nursipa Amanda Nurul Aieni Nurul Ikhsani, Syahdilla Oktoria Parbagian Tambunan Pati Harau, Frans Surya Putra, Adrian Rama Putri, Selma Eka Qodrialfarisi Tambunan Qori Fauziah Rabbynawa, Glody Syah Rahadi, Muhammad Devin Rahadian Zainul Rahmadika, Sandi Rahmadina Oktarina Rahman, Muhamad Fathur Rahmat Raihan Maulana Raihan Ramadhan Rakhel Cakra Sandika Ramadhani , Kharisa Ramadhani Fajri, Bayu Randy Proska Sandra Razifa Mutiara Hani Resmi Darni Riani Riskia, Anita Ica Risna, Mega Rizky Ema Wulansari Ronald Lorenzo Sandika, Rakhel Cakra Sandra Agustin Sandra, Randi Proska Sapta Dewi Samudra Sartika, Indah Saza Kurnia Utami Silvia Vaesar, Sahera Siptya Savira Rahmi Sisca Andriani Skoatiya, Najwa Sugiarto, Toto Syafiqoh, Iffat Syafrijon Syafrijon, Syafrijon Syamsi, Alkindi Syukhri, Syukhri Titi Titi Sriwahyuni Titin Sriwahyuni Usmeldi Usmeldi Vanisa Tsuraya Yahmanita Venny Enrizal Vera Irma Delianti Viola Syahdriati Putri Viony Dwiyana Puteri Vitselly Marlinda Rizalfitri Wahyuni, Novri Waskito Waskito, Waskito Yahmanita, Vanisa Tsuraya Yasdinul Huda Yeka Hendriyani Yolanda, Wira Yudha Aditya Fiandra Yuli Pusparani Yustitia Harti Zafania, Puti Zahwa Rahayu