Article Per Year (5 Year)
p-Index From 2021 - 2026
8.651
P-Index
This Author published in this journals
All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) JOIV : International Journal on Informatics Visualization Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL PENDIDIKAN TAMBUSAI EDUKATIF : JURNAL ILMU PENDIDIKAN GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Teknologi Informasi dan Pendidikan Journal of Applied Engineering and Technological Science (JAETS) JISA (Jurnal Informatika dan Sains) Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat INCARE Journal of System and Computer Engineering Jurnal Vokasi Informatika (JAVIT) Journal of Community Service Tsaqofah: Jurnal Penelitian Guru Indonesia Innovative: Journal Of Social Science Research TOFEDU: The Future of Education Journal Scientica: Jurnal Ilmiah Sains dan Teknologi Jurnal Teknik Komputer dan Informatika (JTeKI) Journal of Hypermedia & Technology-Enhanced Learning Journal of Authentic Research Ignite: Journal Islamic Global Network for Information Technology and Entrepreneurship Jejak digital: Jurnal Ilmiah Multidisiplin
Geovanne Farell
Universitas Negeri Padang
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

Published : 65 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 65 Documents
Search

 3   4   5   6   7 
Analysis of Job Recommendations in Vocational Education Using the Intelligent Job Matching Model Farell, Geovanne; Zin Latt, Cho Nwe; Jalinus, Nizwardi; Yulastri, Asmar; Wahyudi, Rido
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.2201

Abstract

Vocational high schools are one of the educational stages impacted by Indonesia's low quality of education. Vocational High Schools play a crucial role in improving human resources. Graduates of Vocational High Schools can continue their education at universities or enter the workforce directly. Many students are found to have not yet considered their career path after graduation. At the same time, graduates are still expected to find mismatched employment with their expertise and skills. This research uses CRISP-DM, or Cross Industry Standard Process for Data Mining, to build machine learning models. The approach used is content-based filtering. This model recommends items similar to previously liked or selected items by the user. Item similarity can be calculated based on the features of the items being compared. After students receive job recommendations through intelligent job matching, they can use these recommendations as references when applying for jobs that align with their results. This process helps students direct their steps toward finding jobs that match their profiles, ultimately increasing their chances of success in the job market. These recommendations are crucial in guiding students toward career paths that align with their abilities and interests. The Intelligent Job Matching Model developed in this research provides recommendations for the job-matching process. This model benefits graduates by providing job recommendations aligned with their profiles and offers advantages to the job market. By implementing the Model of Intelligent Job Matching in the recruitment process, applicants with job qualifications can be matched effectively.
Rancang Bangun E-Konseling Berbasis Web Untuk Penjadwalan Dan Pengelolaan Bimbingan Konseling Di Smkn3 Padang Syukri, Raihan; Marta, Rizkayeni; Farell, Geovanne; Asmara, Delvi
Jurnal Pendidikan Tambusai Vol. 9 No. 3 (2025): Desember
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Proses administrasi bimbingan dan konseling (BK) di SMKN 3 Padang masih dilakukan secara manual, bergantung pada agenda fisik dan arsip. Sistem ini rawan terhadap inefisiensi, kehilangan data, kesalahan penjadwalan, serta menciptakan hambatan psikologis yang signifikan (stigma, malu) bagi siswa yang ingin mengakses layanan. Penelitian ini bertujuan untuk merancang dan membangun portal e-konseling berbasis web guna mendigitalisasi keseluruhan proses konseling, mulai dari penjadwalan hingga manajemen data, dan mengurangi hambatan akses siswa. Metode yang digunakan adalah rekayasa perangkat lunak dengan metodologi Rapid Application Development (RAD), diimplementasikan menggunakan bahasa pemrograman PHP dan framework Laravel. Portal yang dikembangkan mencakup fitur untuk lima peran pengguna (Admin, Siswa, Guru BK, Wali Kelas, Guru Mapel), seperti registrasi akun, verifikasi penjadwalan online, manajemen biodata siswa, pelaporan berjenjang (guru ke konselor), konseling via chat online, serta chatbot AI (FlowiseAI) untuk layanan informasi garda depan. Evaluasi teknis dilakukan untuk menilai performa menggunakan GTmetrix. Hasil penelitian menunjukkan bahwa sistem ini mampu mengatasi berbagai permasalahan administratif, meningkatkan efisiensi waktu, dan memastikan akses layanan yang tepat dengan menurunkan hambatan psikologis. Pengujian performa menghasilkan "Grade A", dengan Performa 91%, Struktur 98%, LCP rata-rata 1.37s, TBT 8.67ms, dan CLS 0, yang mencerminkan bahwa portal memenuhi bahkan melampaui standar Core Web Vitals dari Google.
Design and Development E-Mading System For Information Students Farell, Geovanne; Novid, Igor; Rahmadika, Sandi
JISA(Jurnal Informatika dan Sains) Vol 5, No 1 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i1.1252

Abstract

This study aims to facilitate the provision of information and reduce the amount of paper use in the Department of Electronics Engineering, Faculty of Engineering, Padang State University. With the large amount of paper used to provide information on conventional e-mading, it causes too much paper to be wasted and not too effective in providing information. With the large amount of paper wasted also causes inefficient time. Because too much information and announcements reported to the Electronics Engineering Department cannot be managed by admin in the Department of Eletronics, Faculty of Engineering, Padang State University. Therefore, for now there is a need for a digital madding to manage information and reduce the amount of paper usage. There are 2 methods used in this study are Data Collection Methods and System Development Methods. This Data Collection Method uses interview and observation techniques, while the System Development Method uses USDP. In this study using the USDP method, where this method can do an object-oriented software development, design and analysis of software design using the UML approach (Unifed Modeling Language)
OPTIMALISASI POTENSI DIGITAL UMKM DI KOTA PAYAKUMBUH MELALUI PELATIHAN PEMANFAATAN TEKNOLOGI Thamrin, Thamrin; Sartika Anori; Khairi Budayawan; Geovanne Farell; Vera Irma Delianti; Sheanny Ocmi Sakti
Journal of Community Service Vol 7 No 2 (2025): JCS, December 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jcs.v7i2.294

Abstract

Perkembangan teknologi informasi dan komunikasi telah mengubah pandangan bisnis secara dramatis, termasuk dalam strategi pemasaran produk .Perkembangan teknologi membuka peluang besar bagi Usaha Mikro, Kecil, dan Menengah (UMKM) untuk memanfaatkan digital marketing dalam mempromosikan produk mereka. Namun, banyak pelaku UMKM di Kota Payakumbuh yang masih terbatas dalam pemanfaatan teknologi ini, terutama dalam membuat materi promosi digital yang efektif. Kegiatan pengabdian masyarakat ini bertujuan untuk mengoptimalkan potensi digital UMKM melalui pelatihan pemanfaatan teknologi, khususnya dalam pembuatan materi digital marketing menggunakan Aplikasi Capcut. Kegiatan ini menggunakan metode pelatihan langsung yang mana pesertanya adalah pemilik UMKM di kota Payakumbuh. Kegiatan yang dilaksanakan di Kecamatan Payakumbuh Barat ini menunjukkan bahwa pelatihan berhasil meningkatkan kompetensi peserta dalam membuat materi promosi digital yang dapat diterapkan dalam usaha mereka. Selain itu, pelatihan ini juga membuka wawasan peserta tentang pentingnya digital marketing dalam meningkatkan daya saing produk mereka di pasar yang semakin kompetitif, serta memberikan keterampilan praktis yang dapat langsung diterapkan dalam usaha mereka.
Design of A Face Recognition Application for Adjustment of Relaxation Audio in Psychological First Aid Services by Volunteers in Disaster Situations Elsy Maharani Putri; Muhammad Adri; Dedy Irfan; Geovanne Farell
Jurnal Teknik Komputer dan Informatika Vol. 6 No. 1 (2026): Jurnal Teknik Komputer dan Informatika (JTeKI)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jteki.v6i1.287

Abstract

This study aims to develop a PsyAssist application based on face recognition to help disaster volunteers detect survivors' emotions in real-time through facial expression analysis using the YOLO algorithm that recommends personalized relaxation audio. This application is developed with the Flutter framework, Flask API python and the Waterfall model. The main features include: (1) facial expression-based emotion detection, (2) relaxation audio recommendations according to emotional conditions, and (3) audio satisfaction graph visualization based on user responses. The model training process was carried out for 100 epochs, with results showing an increase in accuracy as the number of epochs increases. At the 100th epoch, the model achieved a precision value of 0.8 and a recall matrix of 0.85, indicating quite good performance in detecting facial expressions. The existence of this application is expected to increasing the technological support needed by PFA volunteers in disaster situations
Platform Adaptive Learning Berbasis NLP untuk Pembelajaran Literasi Siswa Disleksia Sekolah Dasar Cakranata, Raden Galuh Garhadi; Syafrijon, Syafrijon; Farell, Geovanne; Sandra, Randi Proska
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/j27kax12

Abstract

Penelitian ini bertujuan mengembangkan platform pembelajaran berbasis web yang mengintegrasikan Adaptive Learning dan Natural Language Processing (NLP) untuk mendukung pembelajaran membaca dan menulis siswa sekolah dasar dengan gangguan disleksia. Permasalahan utama yang melatarbelakangi penelitian ini adalah terbatasnya platform pembelajaran digital yang mampu menyesuaikan materi, latihan, dan rekomendasi pembelajaran berdasarkan respons teks siswa disleksia. Penelitian ini menggunakan metode pengembangan perangkat lunak model Waterfall yang meliputi analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan dengan antarmuka web AdaptLearn, backend berbasis Gin Framework, frontend berbasis Next.js, basis data PostgreSQL, cache Redis, serta keamanan autentikasi menggunakan bcrypt. Modul NLP digunakan untuk menganalisis jawaban teks siswa dan mengklasifikasikan tingkat pemahaman ke dalam kategori Paham, Cukup Paham, dan Belum Paham. Hasil pengujian menunjukkan bahwa seluruh fitur utama sistem berjalan sesuai skenario black-box testing. Evaluasi model NLP menghasilkan accuracy sebesar 0,99 dengan nilai precision, recall, dan F1-score yang tinggi pada seluruh kategori. Hasil usability testing menggunakan System Usability Scale memperoleh skor rata-rata 73,33 yang termasuk kategori baik dan acceptable. Dengan demikian, platform yang dikembangkan layak digunakan sebagai alternatif media pembelajaran literasi dasar yang lebih personal, adaptif, dan inklusif bagi siswa disleksia. This study aimed to develop a web-based learning platform integrating Adaptive Learning and Natural Language Processing (NLP) to support reading and writing instruction for elementary school students with dyslexia. The study was motivated by the limited availability of digital learning platforms that can adjust learning materials, exercises, and recommendations based on dyslexic students’ text responses. This research used the Waterfall software development model, consisting of requirements analysis, system design, implementation, testing, and maintenance. The system was implemented as the AdaptLearn web platform using a Next.js frontend, Gin Framework backend, PostgreSQL database, Redis cache, and bcrypt-based authentication security. The NLP module was designed to analyze students’ written responses and classify their understanding into three categories: Understanding, Partially Understanding, and Not Yet Understanding. The Adaptive Learning mechanism then used the NLP results and learning interactions to recommend remedial or advanced learning materials. The results showed that all major system functions performed as expected in black-box testing. NLP model evaluation produced an accuracy of 0.99, with high precision, recall, and F1-score across all categories. Usability testing using the System Usability Scale obtained an average score of 73.33, indicating good and acceptable usability. Therefore, the developed platform is feasible as an alternative digital learning medium that supports more personalized, adaptive, and inclusive literacy learning for students with dyslexia.
Implementasi Smart Contract Ethereum dengan Pendekatan Hybrid untuk Verifikasi Dokumen dan Transparansi pada Sistem Crowdfunding Beasiswa Aviola, Rawim Puja; Farell, Geovanne; Syafrijon, Syafrijon; Sandra, Randi Proska
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/rm4ggv60

Abstract

Penelitian ini bertujuan mengimplementasikan smart contract Ethereum dengan pendekatan hybrid untuk memperkuat verifikasi dokumen dan transparansi pada sistem crowdfunding beasiswa. Permasalahan utama yang diangkat adalah rendahnya kepercayaan publik terhadap platform donasi pendidikan ketika dokumen persyaratan, status verifikasi, dan realisasi penggunaan dana hanya dikelola melalui basis data terpusat. Metode yang digunakan adalah penelitian pengembangan perangkat lunak dengan model prototype yang mencakup komunikasi kebutuhan, perencanaan cepat, pemodelan desain, konstruksi prototipe, serta penyerahan dan evaluasi umpan balik. Sistem dibangun menggunakan Next.js, SQLite, Prisma ORM, Solidity, Ethers.js, MetaMask, dan jaringan Ethereum Sepolia Testnet. Hasil penyusunan sistem menunjukkan bahwa arsitektur hybrid mampu memisahkan penyimpanan dokumen fisik secara off-chain dari pencatatan bukti integritas secara on-chain. Smart contract ScholarshipRegistry dirancang untuk mencatat hash dokumen, status verifikasi, alamat wallet verifikator, timestamp, dan log nominal donasi tanpa menggunakan mata uang kripto sebagai alat pembayaran. Fitur audit publik memungkinkan donatur dan masyarakat mencocokkan hash dokumen, memantau bukti pencairan dana, serta melaporkan indikasi kejanggalan. Secara kritis, blockchain meningkatkan integritas rekam jejak, tetapi tidak otomatis menjamin kebenaran substantif isi dokumen; karena itu validasi administratif, kontrol akses, dan mekanisme pelaporan publik tetap diperlukan. Penelitian ini berkontribusi pada model crowdfunding beasiswa yang lebih transparan, efisien, dan dapat diaudit. This study aims to implement an Ethereum smart contract using a hybrid approach to strengthen document verification and transparency in a scholarship crowdfunding system. The main problem addressed is the limited public trust in digital education donation platforms when eligibility documents, verification status, and fund realization records are controlled only through a centralized database. The study applied a software development method based on the prototype model, consisting of communication, quick planning, quick design modeling, prototype construction, and delivery with feedback evaluation. The prototype was developed using Next.js, SQLite, Prisma ORM, Solidity, Ethers.js, MetaMask, and the Ethereum Sepolia Testnet. The resulting design demonstrates that the hybrid architecture can separate physical document storage in an off-chain layer from integrity proof recording in an on-chain layer. The ScholarshipRegistry smart contract records document hashes, verification status, verifier wallet addresses, timestamps, and donation amount logs without using cryptocurrency as the payment instrument. The public audit feature enables donors and the public to compare document hashes, monitor disbursement evidence, and submit reports on suspected irregularities. Critically, blockchain improves the integrity of audit trails, but it does not automatically verify the substantive truth of uploaded documents; therefore, administrative validation, role-based access control, and participatory reporting remain necessary. This study contributes a transparent, cost-efficient, and auditable model for scholarship crowdfunding systems.
Pengembangan Sistem Informasi Monitoring Praktek Kerja Lapangan Siswa di SMK Negeri 2 Padang berbasis Flutter Android dengan Implementasi REST API Pranoto, Dzenata Achmad; Farell, Geovanne; Dewi, Ika Parma; Delianti, Vera Irma
TSAQOFAH Vol 5 No 6 (2025): NOVEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v5i6.7690

Abstract

This study aims to develop a mobile-based information system for monitoring Praktek Kerja Lapangan (PKL) using Flutter Android, integrated with a REST API, at SMK Negeri 2 Padang. The research is motivated by the need to digitize the PKL monitoring process, which has traditionally been conducted manually, resulting in inefficiencies and lack of structure. The development method employed is the Waterfall model of the Software Development Life Cycle (SDLC), encompassing the stages of requirements analysis, system design, implementation, testing, and maintenance. The developed system features key functionalities such as online PKL information delivery, camera-based attendance validation (front and rear cameras), daily digital journal management, evaluation, and real-time data reporting. Testing results using the White Box method indicate that all logical paths function correctly, with Cyclomatic Complexity values within acceptable limits. The study concludes that the developed PKL monitoring information system meets both functional and technical requirements, and effectively supports the PKL monitoring process in an efficient, transparent, and structured manner. The findings underscore the importance of digitizing PKL supervision systems in vocational schools to enhance the effectiveness of work-based learning.
Rancang Bangun Sistem Informasi Pengelolaan Data Siswa di SMP Negeri 43 Padang Berbasis Web Al-afif Muyassar, Raihan; Farell, Geovanne; Mursyida, Lativa; Syukhri, Syukhri
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi informasi dalam era globalisasi telah membawa dampak signifikan bagi dunia pendidikan. Sekolah modern perlu mengadopsi teknologi informasi dan komunikasi guna meningkatkan efisiensi dan efektivitas proses pendidikan. Salah satu contohnya adalah melalui penggunaan sistem informasi pengelolaan data siswa berbasis web, yang dapat meningkatkan tingkat akuntabilitas dalam mengelola data siswa. Proses pendataan dan pelaporan data siswa di SMP Negeri 43 Padang masih dilakukan secara manual, namun penggunaan teknologi dalam pengelolaan data siswa dapat membantu mengatasi risiko kehilangan data dan kesalahan manusia dalam pencatatan.
Platform Adaptive Learning Berbasis NLP untuk Pembelajaran Literasi Siswa Disleksia Sekolah Dasar Cakranata, Raden Galuh Garhadi; Syafrijon, Syafrijon; Farell, Geovanne; Sandra, Randi Proska
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/j27kax12

Abstract

Penelitian ini bertujuan mengembangkan platform pembelajaran berbasis web yang mengintegrasikan Adaptive Learning dan Natural Language Processing (NLP) untuk mendukung pembelajaran membaca dan menulis siswa sekolah dasar dengan gangguan disleksia. Permasalahan utama yang melatarbelakangi penelitian ini adalah terbatasnya platform pembelajaran digital yang mampu menyesuaikan materi, latihan, dan rekomendasi pembelajaran berdasarkan respons teks siswa disleksia. Penelitian ini menggunakan metode pengembangan perangkat lunak model Waterfall yang meliputi analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem dikembangkan dengan antarmuka web AdaptLearn, backend berbasis Gin Framework, frontend berbasis Next.js, basis data PostgreSQL, cache Redis, serta keamanan autentikasi menggunakan bcrypt. Modul NLP digunakan untuk menganalisis jawaban teks siswa dan mengklasifikasikan tingkat pemahaman ke dalam kategori Paham, Cukup Paham, dan Belum Paham. Hasil pengujian menunjukkan bahwa seluruh fitur utama sistem berjalan sesuai skenario black-box testing. Evaluasi model NLP menghasilkan accuracy sebesar 0,99 dengan nilai precision, recall, dan F1-score yang tinggi pada seluruh kategori. Hasil usability testing menggunakan System Usability Scale memperoleh skor rata-rata 73,33 yang termasuk kategori baik dan acceptable. Dengan demikian, platform yang dikembangkan layak digunakan sebagai alternatif media pembelajaran literasi dasar yang lebih personal, adaptif, dan inklusif bagi siswa disleksia. This study aimed to develop a web-based learning platform integrating Adaptive Learning and Natural Language Processing (NLP) to support reading and writing instruction for elementary school students with dyslexia. The study was motivated by the limited availability of digital learning platforms that can adjust learning materials, exercises, and recommendations based on dyslexic students’ text responses. This research used the Waterfall software development model, consisting of requirements analysis, system design, implementation, testing, and maintenance. The system was implemented as the AdaptLearn web platform using a Next.js frontend, Gin Framework backend, PostgreSQL database, Redis cache, and bcrypt-based authentication security. The NLP module was designed to analyze students’ written responses and classify their understanding into three categories: Understanding, Partially Understanding, and Not Yet Understanding. The Adaptive Learning mechanism then used the NLP results and learning interactions to recommend remedial or advanced learning materials. The results showed that all major system functions performed as expected in black-box testing. NLP model evaluation produced an accuracy of 0.99, with high precision, recall, and F1-score across all categories. Usability testing using the System Usability Scale obtained an average score of 73.33, indicating good and acceptable usability. Therefore, the developed platform is feasible as an alternative digital learning medium that supports more personalized, adaptive, and inclusive literacy learning for students with dyslexia.
Co-Authors Adam, Al Adek Siti Nurhalizah Afif Fadhilah Ahmaddul Hadi Ahmaddul Hadi, Ahmaddul Al-afif Muyassar, Raihan Ambiyar, Ambiyar Anita Yusmar Anori, Sartika Asmar Yulastri Asmara, Delvi Asrul Huda Aviola, Rawim Puja Aviska, Lady Budayawan, Khairi Bunda, Nur Intan Permata Cakranata, Raden Galuh Garhadi Dedy Irfan Delsina Faiza Denny Kurniadi Dina Febrianti Dony Novaliendry Efrizon Efrizon Elfizon Elfizon Elsy Maharani Putri Fadhila, Fajri Falma, Fris Okta Feri Ferdian Fernandes, Roy Ganefri . Hadi Kurnia Saputra Hadi Kurnia Saputra Hansi Effendi Hari Sabintang Hayati Rahmatika Hendriansyah, Muhammad Aditya Heri Kurniawan, Heri Herianis, Sofia Igor Novid Ika Parma Dewi Jannah, Amiratul Juyendra, Atifa Syalsabilla Kasman Rukun Khairi Budayawan Kurniadi, Denny Lativa Mursyida Lativa Mursyida Lenggogeni Lenggogeni Lise Asnur M Giatman Maghribi, Muhammad Ridho Maharani Hamidah Marta, Rizkayeni Miranda Miranda Muhamad Tegar Putra Perdana Muhammad Adri Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal MUHAMMAD YUSUF Mursyida, Lativa Muskhir, Mukhlidi Mutawafika Rusliputri Muthia Shavira Mutiara Pratiwi Tarigan Nadia Dwi Nuristi Nizwardi Jalinus Novri Rahmad, Adib Novriyanda, Reyhan Nur Addina Pitri Yenti Pranoto, Dzenata Achmad Putra Jaya Putra, Muhammad Alfarizi Esa Putri Zega, Martalita Rachmah Nanda Octhavira Rahmadika, Sandi Raihan Maulana Resmi Darni Ridal Ardhi Rido Wahyudi Rizkayeni Marta Rosmiani Rosmiani Salsabila, Unik Hanifah Sandra, Randi Proska Sheanny Ocmi Sakti Simatupang, Wakhinuddin Syafrijon, Syafrijon Syah, Vidy Akbar Syahril Syahril Syukhri Syukhri Syukhri, Syukhri Syukri, Raihan Thamrin Thamrin Thamrin Titi Sri Wahyuni Titin Sriwahyuni Tri Fadliah Sona Vera Irma Delianti Vera Irma Delianti Wahyudi, Rido Waskito Waskito Wiki Lofandri Yeka Hendriyani Yudha Aditya Fiandra Zin Latt, Cho Nwe Zulwisli .