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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research JURNAL MEDIA INFORMATIKA BUDIDARMA PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JMM (Jurnal Masyarakat Mandiri) Sebatik JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Media Sisfo Journal of Information Technology and Computer Engineering JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH EXPLORE Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Teknologi Informasi dan Pendidikan Jusikom: Jurnal Sistem Informasi Ilmu Komputer bit-Tech Jurnal Sistem Informasi dan Informatika (SIMIKA) JATI (Jurnal Mahasiswa Teknik Informatika) Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Infortech Jurnal Pendidikan Guru (JPG) Journal of Applied Data Sciences Jurnal Computer Science and Information Technology (CoSciTech) Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Ipteks Terapan : research of applied science and education Jurnal Pustaka Data : Pusat Akses Kajian Database, Analisa Teknologi, dan Arsitektur Komputer Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence EXPLORE Jurnal Komtekinfo Journal of Computers and Digital Business SmartComp JOURNAL OF COMMUNITY SERVICE AND APPLICATION SCIENCE (JCSAS) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Pustaka Robot Sister

Sovia, Rini

Universitas Putra Indonesia YPTK Padang, Padang

Author-ID : 10341146

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Data Warehouse Design With ETL Method (Extract, Transform, And Load) for Company Information Centre Fana, Wulan Stau; sovia, rini; Permana, Randi; Islam, Md Ataul
International Journal of Artificial Intelligence Research Vol 5, No 2 (2021): December 2021
Publisher : Universitas Dharma Wacana

Data Warehouse is a technology use to analyze, extract and evaluate data into information which produce knownledge in the form of analysis to provide an advice in decision making process. Designing a Data Warehouse using ETL (Extract, Transformation and Load) process serves as the collection of data from different data sources into a multitude of integrated data sets. By using snowflake scheme for the design of the data warehouse make data prepare well and ready for analyze on Data Warehouse. The result of Â this reseach is to applied Data Warehouse that use to support company decision making progress make easier and has a good decision since its come from Data Warehouse

Application of Fuzzy Logic to Classify Community Welfare Levels Aditra; Sumijan; Sovia, Rini
Journal of Computer Scine and Information Technology Volume 10 Issue 3 (2024): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v10i3.104

Information regarding family welfare does not only affect family members, but also influences the success of government, including village government. Therefore, information regarding the level of family welfare is needed to monitor the progress of development programs that have been carried out. The fuzzy logic of the Tahani model is one method that can be applied to classify things. The aim of this research is to classify the level of welfare of families as potential recipients of assistance based on population data held by the Mentawai Social Service & P3A. This research was processed using Fuzzy Tahani logic. Fuzzy Tahani is an optimization algorithm that can be used to support decisions by utilizing relational databases. Based on the research results obtained, fuzzy logic with the Tahani model can be used to process family data in accordance with indicators of family welfare levels by providing output in the form of family classification. It's just that the application of the Tahani model should be done on a single rule search function, not to process all the rules using a Tahani query to produce a family classification

DECISION SUPPORT SYSTEM FOR SELECTING EDUCATIVE EQUIPMENT SUPPLIERS IN TOKO ANDA V7 Sovia, Rini; Rani, Maha; Ardiansyah, Ricki; Rahman, Muhammad Aidil
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 1 (2023): Desember 2023
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.v10i1.2892

Abstract: Toko Anda v7 is a shop that sells office stationery and school teaching aids. One of the items frequently ordered at Toko Anda v7 is educational teaching aids (APE). So that shop activities can continue to run, suppliers have a very important role, for this reason the supplier selection process is one of the important decisions that must be taken by the shop. However, this is a problem because each supplier has its own advantages and disadvantages. To help Toko Anda v7 in choosing suppliers, a decision support system was designed. The decision support system is able to provide alternative decision options that can be chosen by decision makers in Toko Anda v7 in determining suppliers of educational teaching aids. The method used in the decision selection process in this decision support system is Weighted Product (WP). Calculations using the Weighted Product (WP) method are able to provide decisions with fast and efficient calculations. The results of designing this decision support system are able to provide a ranking of alternative suppliers based on predetermined criteria. Keywords: Decision Support System; Supplier; Weighted Product Abstrak: Toko Anda v7 adalah toko yang bergerak dalam penjualan alat tulis kantor dan alat peraga sekolah. salah satu barang yang sering dipesan di Toko Anda v7 adalah alat peraga edukatif (APE). agar aktivitas toko tetap dapat berjalan suplier memiliki peran yang sangat penting, untuk itu proses pemilihan suplier menjadi salah satu keputusan yang penting yang harus diambil oleh toko. namun hal tersebut menjadi masalah karena setiap suplier memiliki kelebihan dan kekurangan masing-masing. untuk membantu Toko Anda v7 dalam memilih suplier maka dirancanglah sebuah sistem penunjang keputusan. sistem penunjang keputusan mampu memberikan pilihan alternatif keputusan yang bisa dipilih oleh pembuat keputusan di Toko Anda v7 dalam menentukan suplier alat peraga edukatif. metode yang digunakan dalam proses pemilihan keputusan di sistem penunjang keputusan ini adalah Weighted Product (WP). Perhitungan dengan metode Weigthted Product (WP) mampu memberikan keputusan dengan perhitungan yang cepat dan efisien. hasil dari perencangan sistem penunjang keputusan ini mampu memberikan perangkingan alternatif suplier berdasarkan kriteria-kriteria yang telah ditentukan. Kata kunci: Pemasok; Sistem Penunjang Keputusan; Weighted Product

APPLICATION OF SIMPLE ADDITIVE WEIGHTING METHOD IN SELECTING ACCESSORY SUPPLIERS AT AL-FAZZA COSMETIC STORE Rani, Maha; Christy, Tika; Ardiansyah, Ricki; Sovia, Rini
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.v11i1.3507

AbstractAl-Fazza Cosmetic Store is a store engaged in the sale of cosmetics. In an effort to develop and increase sales value, Al-Fazza Store began selling various accessories such as bracelets, necklaces, hair clips and headscarves. To get quality goods and maximum profit, supplier selection is important. However, supplier selection is a problem because each supplier has its own advantages and disadvantages and uniqueness. To help select suppliers at the Al-Fazza Cosmetic Store, the decision support system can provide decision recommendations quickly and accurately based on the criteria given by the decision maker. The method that will be used in processing data and determining decisions in this decision support system is simple additive weighting (saw). The decision results provided by this method can be used as recommendations by decision makers in determining the best supplier. Keywords: simple additive weighting; information systems; decision support systems; suppliers Abstrak: Toko Kosmetik Al-Fazza merupakan toko yang bergerak di bidang penjualan kosmetik. Dalam upaya untuk mengembangkan dan meningkatkan nilai penjualan, Toko Al-Fazza mulai menjual berbagai aksesoris seperti gelang, kalung, jepit rambut, dan jilbab. Untuk mendapatkan barang yang berkualitas dan keuntungan yang maksimal, pemilihan supplier merupakan hal yang penting. Akan tetapi, pemilihan supplier menjadi suatu permasalahan karena setiap supplier memiliki kelebihan dan kekurangan serta keunikannya masing-masing untuk membantu pemilihan supplier pada Toko Kosmetik Al-Fazza. Sistem pendukung keputusan tersebut dapat memberikan rekomendasi keputusan secara cepat dan tepat berdasarkan kriteria yang diberikan oleh pengambil keputusan. Metode yang akan digunakan dalam pengolahan data dan penentuan keputusan pada sistem pendukung keputusan ini adalah simple additive weighting (saw). Hasil keputusan yang diberikan oleh metode ini dapat digunakan sebagai rekomendasi oleh pembuat keputusan dalam menentukan supplier terbaik. Kata kunci: simple additive weighting; sistem informasi; sistem penunjang keputusan;pemasok

OPTIMIZING THE SELECTION OF THE BEST EDUCATIONAL TEACHING AIDS SUPPLIER IN DECISION-MAKING USING THE MOORA METHOD Rani, Maha; Christy, Tika; Ardiansyah, Ricki; Sovia, Rini
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 3 (2025): Juni 2025
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.v11i3.3883

Abstract: In the business world, supplier selection plays a crucial role in ensuring smooth company operations. Suppliers are responsible for providing raw materials with consistent quality, timely delivery, and competitive prices. The supplier selection process requires evaluation based on various criteria such as product quality, availability, packaging, price, and warranty. Currently, SNM Store places orders by contacting suppliers one by one via telephone to inquire about item availability. This method is time-consuming and may lead to delays in fulfilling item requirements. To address this issue, a Decision Support System (DSS) is needed to assist in efficiently determining the best supplier. One method that can be used in this system is MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis). MOORA is known to be effective in handling multi-criteria decision-making by simultaneously optimizing multiple objectives. This method also reduces subjectivity by assigning weights to each criterion and uses simple and fast calculations to evaluate the available alternatives. The objectives of this research are to identify the key criteria in supplier selection, apply the MOORA method in an efficient and user-friendly evaluation and selection process, and improve the operational efficiency of SNM Store in procurement so that item availability can be ensured in a timely manner. Keywords: decision support system ; MOORA; supplier Abstrak: Dalam dunia bisnis, pemilihan supplier memegang peranan penting dalam memastikan kelancaran operasional perusahaan. Supplier bertanggung jawab menyediakan bahan baku dengan kualitas konsisten, pengiriman tepat waktu, dan harga kompetitif. Proses seleksi supplier memerlukan evaluasi terhadap berbagai kriteria seperti kualitas produk, ketersediaan, pengemasan, harga, dan garansi. Toko SNM saat ini melakukan pemesanan dengan menghubungi supplier satu per satu melalui telepon untuk menanyakan ketersediaan barang. Metode ini memakan waktu dan dapat menyebabkan keterlambatan dalam pemenuhan kebutuhan barang. Untuk mengatasi hal tersebut, diperlukan sistem pendukung keputusan (Decision Support System) yang dapat membantu dalam menentukan supplier terbaik secara efisien. Salah satu metode yang dapat digunakan dalam sistem ini adalah MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis). MOORA dikenal efektif dalam menangani keputusan multi-kriteria dengan mengoptimalkan berbagai tujuan secara bersamaan. Metode ini juga mengurangi subjektivitas melalui pemberian bobot pada tiap kriteria dan menggunakan perhitungan yang sederhana serta cepat dalam mengevaluasi alternatif yang tersedia. adapun tujuan dari penelitian ini adalah untuk mengidentifikasi kriteria-kriteria penting dalam pemilihan supplier, menerapkan metode MOORA dalam proses evaluasi dan seleksi yang efisien dan mudah digunakan, serta meningkatkan efisiensi operasional Toko SNM dalam hal pengadaan barang agar ketersediaan barang dapat terjamin tepat waktu. Kata kunci: MOORA; sistem penunjang keputusan; supplier;

Pemanfaatan Aplikasi Untuk Memberikan Diagnosa Awal Penyakit Gigi Dan Mulut Pada Ins Dental Care Sovia, Rini; Ardiansyah, Ricki; Rani, Maha
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 7 No. 2 (2024): April 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v7i2.3022

Technological developments in various fields continue to increase, one of which is in the health sector, namely the use of applications to provide initial diagnoses of dental and oral diseases. Lack of public awareness and knowledge in maintaining oral health can give rise to various kinds of diseases, some of which can be cured with proper treatment. One way that can be done to prevent this disease is by providing education to the public by using a web-based application. The PKM team held activities at Ins Dental Care. The method used in this activity is training in the use of applications for early diagnosis of dental and oral diseases with the participants being doctors and nurses. The aim of this service activity is to provide knowledge to participants about applications that can be used by participants to provide initial diagnoses of dental and oral diseases so that later participants can easily obtain information about dental and oral diseases. With this application, Ins Dental Care can easily provide education to the public about dental health and reach local communities to provide education about dental health and dental disease. By utilizing a web application for early diagnosis of dental and oral diseases, people can obtain information on diagnosing dental diseases independently without having to come to the clinic. Keywords: training; application; diagnosis; dental and oral diseases

Penerapan E-Commerce Model Business To Customer DSruput Cabang Lubuk Begalung Berbasis Web Lidya Adriani Darma; Rini Sovia; Heriyanto
Journal of Computers and Digital Business Vol. 1 No. 2 (2022)
Publisher : PT. Delitekno Media Madiri

Perkembangan teknologi pada dunia digital dan internet berdampak kuat pada dunia pemasaran. Diciptakan teknologi E-Commerce sebagai salah satu strategi pemasaran yang mampu menjangkau jaringan masyarakat luas. Perancangan E-Commerce dalam penelitian ini di tujukan kepada “D’Sruput cabang Lubuk Begalung”. Permasalahan yang dihadapi oleh D’Sruput adalah minimnya strategi pengembangan usaha, yang masih menggunakan strategi tradisional marketing, sehingga pemasaran dan keterbatasan promosi jadi lebih sempit. Metode penelitian yang dilakukan adalah dengan menganalisa kebutuhan yang dapat menghasilkan pemodelan system pemasaran digital dengan menggunakan perancangan system UML (Unified Modelling Language). Penelitian ini menghasilkan sebuah analisa pengembangan E-Commerce berbasis web untuk D’Sruput yang diharapkan mampu menjangkau pasar yang lebih luas, jumlah konsumen meningkat karna adanya diskon-diskon yang disediakan serta kemudahan dalam pemesanan jenis-jenis minuman yang di inginkan.

Sistem Identifikasi Citra Huruf Aksara Minangkabau Berbasis Convolutional Neural Network Saputra, Riyan; Ramadhanu, Agung; Sovia, Rini
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 2 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i2.1214

Pelestarian aksara daerah penting untuk menjaga warisan budaya bangsa. Aksara Minangkabau, sebagai salah satu kekayaan budaya Indonesia, masih minim penelitian dan belum memiliki sistem digitalisasi memadai. Penelitian ini merupakan tahap awal eksplorasi pengenalan aksara Minangkabau menggunakan pendekatan Convolutional Neural Network (CNN) sebagai upaya mendokumentasikan dan menguji potensi digitalisasi aksara tersebut. CNN merupakan salah satu model deep learning yang dirancang untuk memproses data grid terstruktur seperti citra. Penelitian sebelumnya menunjukan kinerja CNN sangat baik dalam pengenalan tulisan tangan. Citra aksara yang digunakan dalam penelitian ini diperoleh dari sumber museum dan tulisan tangan dari 31 sukarelawan. Dataset terdiri dari 4.650 citra karakter dari 75 kelas dengan berbagai kombinasi tanda baca pada lima huruf vokal, yang kemudian diproses melalui konversi grayscale, peningkatan kontras, segmentasi, dan augmentasi hingga menghasilkan total 8.537 citra. Model CNN yang dirancang mengklasifikasikan karakter ke dalam 75 kelas. Hasil pengujian mengindikasikan bahwa model dapat mengenali karakter dengan sangat baik. Pengujian menunjukkan akurasi 99% dalam skenario pengujian terbatas pada 500 data uji. Temuan ini memberikan landasan awal untuk digunakan dalam kajian akademis lanjutan maupun diskusi kultural yang lebih luas terkait keberadaan aksara Minangkabau.

Diagnosa Penyakit Tuberkulosis Paru Menggunakan Metode Forward Chaining dan Certainty Factor Wirdawati, Wira; Sovia, Rini; Hendrik, Billy
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 5 No 2 (2025): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v5i2.1217

Tuberculosis (TB) is an infectious disease that can affect people of all ages, including children, adolescents, and the elderly, and can cause illness and death in over one million people. The disease is spread through coughs or sneezes by people with pulmonary TB, through contaminated saliva, and inhalation by healthy people with weakened immune systems. Therefore, this study aims to develop an expert system to assist in the diagnosis of pulmonary tuberculosis using the Forward Chaining and Certainty Factor methods. This process begins by identifying symptoms reported by the user and then searching for rules in the knowledge base that match those symptoms. This method allows the system to follow a logical flow of reasoning similar to the way a doctor diagnoses a disease. This study used data from 100 patients from 2023 at the Pariaman Community Health Center. Using the Forward Chaining and Certainty Factor methods, three patient data sets with three types of tuberculosis were tested. The percentage results for each type of disease were 100% positive for pulmonary tuberculosis, 0.91% negative for pulmonary tuberculosis, and 0.92% latent for pulmonary tuberculosis, with a confidence level of Very Confident. This research contributes to increasing knowledge and understanding in the field of expert systems, particularly in the application of the Forward Chaining and Certainty Factor methods for diagnosing tuberculosis.

APLIKASI MOBILE E-COMMERCE UNTUK PEMBELAJARAN DENGAN FITUR PEMBAYARAN ONLINE AMAN Gema, Rima Liana; Sovia, Rini; Awal, Hasri
Jurnal Review Pendidikan dan Pengajaran Vol. 8 No. 1 (2025): Volume 8 No. 1 Tahun 2025
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v8i1.41433

Pengembangan aplikasi e-commerce berbasis mobile dengan fitur pembayaran online yang aman bertujuan untuk meningkatkan kenyamanan dan keamanan transaksi digital. Dengan pesatnya perkembangan belanja online, dibutuhkan platform yang mudah diakses dan aman bagi pengguna. Penelitian ini mengembangkan aplikasi e-commerce yang mengintegrasikan sistem pembayaran menggunakan teknologi enkripsi dan otentikasi multi-faktor untuk melindungi data pengguna. Metode yang digunakan dalam penelitian ini mencakup analisis kebutuhan, desain sistem, dan implementasi aplikasi berbasis Android menggunakan bahasa pemrograman Java. Hasil penelitian menunjukkan aplikasi ini berhasil meningkatkan pengalaman pengguna melalui antarmuka yang ramah pengguna serta memperkuat keamanan transaksi online. Kesimpulannya, aplikasi ini dapat menjadi solusi bagi konsumen dan pelaku bisnis dalam melakukan transaksi secara efisien dan aman, memenuhi kebutuhan pasar yang semakin mengutamakan kenyamanan dan proteksi data pribadi.

Co-Authors Abuzar Gafari Adiddo Restiady Adinda Syalsabila Aditra Agung Ramadhanu Agus Salim, David Ahsan Firdaus Ali Nurdiansyah Amin Amirul Mukminin, Andi Anam, M Khairul Anggy Wahyudi Aulia Fitrul Hadi Aulia Fitrul Hadi Ayu Mahessya, Raja Billy Hendrik Borianto, B Chairunnissa Deliva Akbar, Syifa Dede Pratama Deny Suyandi Deval Gusrion Devi Maryuni Devia Kartika Dila, Rahmah Dwi Andhara Valkyrie Dwiki Aulia Fakhri Edo Rinaldi Rais Effendy, Geraldo Revanska Eka Praja Wiyata Mandala Elmi Rahmawati Elmi Rahmawati, Elmi Encik Yoega Renaldi Erlanda, Hadrian Fana, Wulan Stau Fatimah, Noor Firdaus daus Firna Yenila Gema, Rima Liana Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo Guslendra Gusriva, Revi Hadi, Aulia Fitrul Hadiyanto, Tegas Hadrian Erlanda Hanippa Prima Putra Harnaranda, Jefri Hartika Zain, Ruri Hartika Hasri Awal Hendri Irawan Hendri Irawan Heriyanto Hoka Muhgrah Sandawa Huda, Ramzil Ika Melinia Sapitri Fitriyanti Ilsa Hidayat Irzal Arif Wisky Islam, Md Ataul Jimmy Febio Julsapargi Nursam Kharisma Utama Putra Khomsi, Ahmad Lidya Adriani Darma Lony Armawati Tambunan Lubis, Fitri Amelia Sari Lusinia, Shary Armonitha maha rani Maha Rani Mardhiah, Sitty Mhd Wedo Muhammad Aidil Rahman Muhammad Ikhsan Al-Arrafi Muhammad Reza Putra Muhammad, Abulwafa Mutiana Pratiwi Nabilla Yasmin Niken Rindiana Nugraha, Fajri Nurdiansyah, Ali Nursam, Julsapargi Nursyahrina Oriza Rama Saputra Permana, Randi Permana, Randy Prihandoko Puja M Alca Putra, Kharisma Utama Putri Melati Putri Melati Rahma Yanti Rahmad Rahmad Rahmad Rahmad Rahman, Muhammad Aidil Rahman, Zumardi Rahmi, Nadya Alinda Ramadani, Sela Randa Mahardika Randy Permana Randy Permana Retno Devita Revi Gusriva Ricki Ardiansyah ricki ardiansyah Ricki Ardiansyah Ricki Ardiansyah, Ricki Ridwan Sutri Ridwan Sutri Rinaldi Chan, Fajri Rindhani Aditia, Mellya Riska Amelia Riyan Saputra Riyan Saputra, Riyan Roza, Yesi Betriana Rozakh, Muhammad Ruri Hartika Zain Ruri Hartika Zain Ruri Hartika Zain S, Sumijan Sandawa, Hoka Muhgrah Saputra, Charisman Fajri Saputra, Oriza Rama Saputra, Randy Sarjon Defit Sarjon Defit Selfi Melisa Selvia, Dina Shally Amna Silky Safira Siregar, Diffri Sulastri Sulastri Sumijan Sumijan Syafri Arlis Syafril Syafril Syafril Syafril Syafril Syafril Syaiffullah, Afif Tika Christy Tsalsabila Jilhan Haura Tsalsabila Jilhan Haura Tuti Nabila Wahyudi, Anggy Widya Nursanty Wifra Safitri Wirdawati, Wira Yanti, Rahma Yanto, Musli Yanto, Musli Yasmin, Nabilla Yesi Betriana Roza Yuhandri Yuhandri, Yuhandri Zainal A. Haris

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