Article Per Year (5 Year)
p-Index From 2021 - 2026
11.384
P-Index
This Author published in this journals
All Journal Lensa: Kajian Kebahasaan, Kesusastraan, dan Budaya BAHASA DAN SASTRA Kinesik BAHASANTODEA Jurnal Kreatif Tadulako Online LiNGUA: Jurnal Ilmu Bahasa dan Sastra Academica Al-Ulum Sinergi Kitektro KEMBARA Jurnal Gramatika JURNAL KONFIKS JURNAL NASIONAL TEKNIK ELEKTRO IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Al-Adyan: Jurnal Studi Lintas Agama JOIV : International Journal on Informatics Visualization Al Ishlah Jurnal Pendidikan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Ranah: Jurnal Kajian Bahasa JITK (Jurnal Ilmu Pengetahuan dan Komputer) Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya JURNAL PENDIDIKAN TAMBUSAI Care : Jurnal Ilmiah Ilmu Kesehatan GERVASI: Jurnal Pengabdian kepada Masyarakat Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum MONSU'ANI TANO Jurnal Pengabdian Masyarakat Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Bahasa: Jurnal Keilmuan Pendidikan Bahasa dan Sastra Indonesia Journal of Electronics, Electromedical Engineering, and Medical Informatics Multilingual Ghancaran: Jurnal Pendidikan Bahasa dan Sastra Indonesia Jurnal Sosial Humaniora Sigli Bubungan Tinggi: Jurnal Pengabdian Masyarakat Moderasi; Jurnal Studi Ilmu Pengetahuan Sosial MALLOMO: Journal of Community Service Jurnal EduHealth Abdimas Langkanae Green Intelligent Systems and Applications Jurnal Gramatika: Jurnal Penelitian Pendidikan Bahasa dan Sastra Indonesia SI-MEN (AKUNTANSI & MANAJEMEN) STIES Journal of Innovation and Research in Primary Education Proceeding National Conference Business, Management, and Accounting (NCBMA) Jurnal Dinamika Akuntansi dan Bisnis (JDAB) Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) JS (Jurnal Sekolah) Jurnal Rekayasa elektrika TOFEDU: The Future of Education Journal PROSIDING SEMINAR NASIONAL DAN INTERNASIONAL HIMPUNAN SARJANA-KESUSASTRAAN INDONESIA Jurnalistrendi: Jurnal Linguistik, Sastra dan Pendidikan Jurnal Polimesin Journal of Social Work and Science Education Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Al-Tadris: Jurnal Pendidikan Bahasa Arab Aksara Jurnal Pengabdian Rekayasa dan Wirausaha Nawadeepa: Jurnal Pengabdian Masyarakat Indonesian Journal of English Language Teaching and Applied Linguistics Sawerigading Aksara Fon: Jurnal Pendidikan Bahasa dan Sastra Indonesia Ranah: Jurnal Kajian Bahasa JENTERA: Jurnal Kajian Sastra
Yunidar
Universitas Tadulako Jalan Soekarno Hatta, Tondo, Mantikulore, Kota Palu, Sulawesi Tengah
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 119 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 119 Documents
Search

 6   7   8   9   10 
EEG Performance Signal Analysis for Diagnosing Autism Spectrum Disorder using Butterworth and Empirical Mode Decomposition Fathur Rahman, Imam; Melinda, Melinda; Irhamsyah, Muhammad; Yunidar, Yunidar; Nurdin, Yudha; Wong, W.K.; Zakaria, Lailatul Qadri
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 3 (2025): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i3.788

Abstract

Electroencephalography (EEG) is a technique used to measure electrical activity in the brain by placing electrodes on the scalp. EEG plays an essential role in analyzing a variety of neurological conditions, including autism spectrum disorder (ASD). However, in the recording process, EEG signals are often contaminated by noise, hindering further analysis. Therefore, an effective signal processing method is needed to improve the data quality before feature extraction is performed. This study applied the Butterworth Band-Pass Filter (BPF) as a preprocessing method to reduce noise in EEG signals and then used the Empirical Mode Decomposition (EMD) method to extract relevant features. The performance of this method was evaluated using three main parameters, namely Mean Square Error (MSE), Mean Absolute Error (MAE), and Signal-to-Noise Ratio (SNR). The results showed that EMD was able to retain important information in EEG signals better than signals that only passed through the BPF filtration stage. EMD produces lower MAE and MSE values than Butterworth, suggesting that this method is more accurate in maintaining the original shape of the signal. In subject 3, EMD recorded the lowest MAE of 0.622 compared to Butterworth, which reached 20.0, and the MSE value of 0.655 compared to 771.5 for Butterworth. In addition, EMD also produced a higher SNR, with the highest value of 23,208 in subject 5, compared to Butterworth, which reached only 1,568. These results prove that the combination of BPF as a preprocessing method and EMD as a feature extraction method is more effective in maintaining EEG signal quality and improving analysis accuracy compared to the use of the Butterworth Band-Pass Filter alone.
Community And Family-Based Intervention Strategies To Prevent Stunting: A Systematic Review Puspitasari, Yunidar Dwi; Indarwati, Retno; Wahyuni, Silvya Dwi; Suraya, Andi Safutra
Care : Jurnal Ilmiah Ilmu Kesehatan Vol 13, No 2 (2025): EDITION JULY 2025
Publisher : Universitas Tribhuwana Tunggadewi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/jc.v13i2.6613

Abstract

Stunting is a state of chronic malnutrition associated with nutritional insufficiency.  Stunting can increase the risk of morbidity and mortality, hindering children's growth and development.  Malnutrition in toddlers can also arise due to the cultural practices, eating habits, and social norms related to food intake. The role of the family and the community is very important in ensuring the success of stunting prevention programs. This study aimed to undertake a systematic review of the international literature on community-based interventions to prevent stunting in children under 5 years. We reviewed original quantitative research from Scopus, Science Direct, PubMed, and ProQuest using the keywords “community intervention” OR “family intervention” AND “stunting” AND “toddlers”. We conducted a critical appraisal using PRISMA guidelines on evidence documenting the community-based intervention or program as a strategy to reduce stunting in toddlers, between 1 January 2013 and 31 January 2023 with the inclusion criteria of English-language, full-text, open-access, quantitative studies. Thirteen peer-reviewed papers met the inclusion criteria. This review found that family-based intervention could improve child growth and community-based intervention could strengthen the community health systems. The existing evidence showed a positive impact of community and family-based intervention to prevent stunting.  Family-strengthening interventions may have an impact on reducing stunting among children under 5 years. 
Performance Comparison of Variational Mode Decomposition and Butterworth in Processing EEG Signals of Autism Patients Wardana, Surya; Melinda, Melinda; Ramdhana, Rizka; Yunidar, Yunidar; Away, Yuwaldi; Basir, Nurlida
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 3 (2025): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i3.105

Abstract

Electroencephalography (EEG) is a non-invasive technique for monitoring and recording the brain's electrical activity with electrodes applied to the scalp. The method is important in neurological studies, like that of Autism Spectrum Disorder (ASD), because it measures patterns of brain waves that can identify developmental abnormalities. However, EEG signals are often contaminated by multiple noise sources, including eye movements, muscle activity, and extraneous interference. This interference can significantly reduce the quality and intelligibility of signals. Therefore, preprocessing is required to enhance the reliability and precision of the data obtained. In this study, a Butterworth Band-Pass Filter (BPF) was used during preprocessing to filter out undesirable frequency components and to mitigate noise. After filtering, EEG signals were handled using the Variational Mode Decomposition (VMD) technique. VMD is an adaptive method for decomposing multidimensional signals into intrinsic mode functions while preserving critical details of the original data. For performance comparison, four quantitative metrics were used: Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Signal-to-Noise Ratio (SNR). Results showed that VMD performed better than BPF alone. As an example, for Subject 1, VMD achieved an MAE of 0.26 and MSE of 0.42, which was far superior to the MAE of 13.72 and MSE of 674.96 of BPF. Subject 3 had the least RMSE (0.40) when using VMD, whereas BPF scored 25.90. VMD also reported a highest SNR of 28.56, compared to BPF's 2.43. Overall, integrating VMD with BPF significantly improves EEG signal quality and enables more accurate analysis, particularly in ASD-related studies.
Smart Door Locking System for Children Using HC-SR04 and IoT Technology Melinda, Melinda; Yunidar, Yunidar; Khairia, Syaidatul; Miftahujjannah, Rizka; Sakarkar, Gopal; Basir, Nurlida
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1293.2025

Abstract

The increasing incidence of minors accessing hazardous indoor areas—such as staircases, balconies, and rooms with sharp objects—raises serious safety concerns, often due to insufficient parental supervision. This study proposes an Internet of Things (IoT)-based automatic door lock system to enhance child safety in home environments. The system integrates dual ultrasonic sensors for distance and height detection, a KY-037 sound sensor, and an ESP32-CAM for real-time video monitoring, all accessible via a web interface. A key novelty lies in the integration of multi-sensor spatial awareness with live surveillance, enabling automated control and proactive safety features. Tested on ten children aged 4 to 6 years, the system achieved a 90% success rate in locking the door when a child under 120 cm approached within 1 meter, with an average response time of approximately 2 seconds. A sound-based alarm is also triggered when noise levels exceed 120 decibels, serving as an emergency alert. However, a 10% false negative rate was observed when children were detected at distances of 1.3 to 1.5 meters, suggesting the need for further sensor calibration. Overall, the system demonstrates strong potential as a scalable and cost-effective smart home safety solution, combining automation, real-time monitoring, and child-specific access control. Future work should focus on improving detection accuracy and extending functionality for multi-object scenarios.
H20 and H20 with NaOH-Based Multispectral Classification Using Image Segmentation and Ensemble Learning EfficientNetV2, Resnet50, MobileNetV3 Melinda, Melinda; Yunidar, Yunidar; Zulhelmi, Zulhelmi; Suyanda, Arya; Qadri Zakaria, Lailatul; Wong, W.K
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 4 (2025): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i4.1016

Abstract

High Multispectral imaging has become a promising approach in liquid classification, particularly in distinguishing visually similar but subtly spectrally distinct solutions, such as pure water (H₂O) and water mixed with sodium hydroxide (H₂O with NaOH). This study proposed a classification system based on image segmentation and deep learning, utilizing three leading Convolutional Neural Network (CNN) architectures: ResNet 50, EfficientNetV2, and MobileNetV3. Before classification, each multispectral image was processed through color segmentation in HSV space to highlight the dominant spectral, especially in the hue range of 110 170. The model was trained using a data augmentation scheme and optimized with the Adam algorithm, a batch size of 32, and a sigmoid activation function. The dataset consists of 807 images, including 295 H₂O images and 512 H₂O with NaOH images, which were divided into training (64%), validation (16%), and testing (20%) data. Experimental results show that ResNet50 achieves the highest performance, with an accuracy of 93.83% and an F1 score of 93.67%, particularly in identifying alkaline pollution. EfficientNetV2 achieved the lowest loss (0.2001) and exhibited balanced performance across classes, while MobileNetV3, despite being a lightweight model, remained competitive with a recall of 0.97 in the H₂O with NaOH class. Further evaluation with Grad CAM reveals that all models focus on the most critical spectral areas of the segmentation results. These findings support the effectiveness of combining color-based segmentation and CNN in the spectral classification of liquids. This research is expected to serve as a stepping stone in the development of an efficient and accurate automatic liquid classification system for both laboratory and industrial applications.
Implementasi Sistem Informasi Pengelolaan Aset Desa Berbasis Web pada Desa Tingkeum, Kabupaten Aceh Besar Yunidar, Yunidar; Irhamsyah, Muhammad; Amalia, Amalia; Akbar, Muhazir; Rafiqi, Ashaf
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 1, No 2 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jprw.v1i2.42914

Abstract

Desa Tingkeum, Kabupaten Aceh Besar, menghadapi tantangan dalam pengelolaan aset desa yang masih dilakukan secara manual, menyebabkan kesulitan dalam pelacakan dan pengelolaan aset secara efisien. Untuk mengatasi masalah ini, dikembangkan Sistem Informasi Pengelolaan Aset Desa Berbasis Web menggunakan platform SIMAssets yang dirancang dengan framework CodeIgniter dan basis data MySQL. Sistem ini memungkinkan pencatatan aset secara terpusat, otomatisasi kodefikasi aset, dan pelabelan aset dengan kode unik untuk memudahkan pelacakan. Implementasi sistem dilakukan dengan pelatihan kepada perangkat desa, termasuk Keuchik dan pengelola aset. Hasil pengujian menunjukkan bahwa sistem ini berhasil meningkatkan efisiensi pengelolaan aset, memudahkan pembuatan laporan, dan mempercepat proses inventarisasi. Pengguna melaporkan bahwa antarmuka sistem user-friendly dan fitur kodefikasi sangat bermanfaat dalam pengelolaan aset secara berkelanjutan.
Pemanfaatan Alat Ukur Status Gizi Otomatis Berbasis Mikrokontroler di Posyandu Meulati Gampong Blang Krueng Kecamatan Baitussalam, Aceh Besar Yunidar, Yunidar; Arnia, Fitri; Melinda, Melinda; Away, Yuwaldi; Fathurrahman, Fathurrahman
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 1, No 1 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jprw.v1i1.36528

Abstract

Posyandu merupakan salah satu program pemerintah Indonesia sebagai fasilitas layanan kesehatan masyarakat yang dikelola oleh masyarakat. Posyandu Balita dilaksanakan secara rutin untuk memantau perkembangan pertumbuhan pada balita dengan mengukur tinggi badan, berat badan dan lingkar kepala. Selama ini alat ukur yang digunakan oleh petugas kesehatan di posyandu merupakan alat ukur yang konvensional, dan penentuan status gizi anak masih dilakukan secara manual oleh petugas posyandu yang telah mahir mengkonversi nilai ukur yang diperoleh kedalam rumus skor-z. Hal ini tentu memakan waktu dan kurang efektif sehingga dari hasil penelitian mahasiswa prodi Teknik Elektro telah berhasil merancang alat ukur status gizi otomatis berbasis mikrokontroler dan telah diuji nilai presisi dan keakuratannya. Melalui program pengabdian kepada masyarakat kami akan mensosialisasikan alat ukur otomatis ini pada posyandu Meulati Gampong Blang Krueng, Kecamatan Baitussalam Kabupaten Aceh Besar. Tujuan dari kegiatan ini untuk meningkatkan mutu pelayanan posyandu sehingga dapat berjalan lebih efektif den efisien. Alat ukur ini terdiri dari modul status gizi berdasarkan nilai skor-z dilengakapi dengan LCD sebagai tampilan keluaran dan sensor ultrasonik yang berfungsi sebagai pengukur tinggi badan dan sensor load cell untuk mengukur berat badan. Hasil yang diperoleh dari kegiatan melalui survey kepuasan yang dibagikan ternyata semua orang tua dan wali balita setuju kegiatan pengabdian yang telah dilakukan sangat bermanfaat terutama bagi Masyarakat Blang Krueng.
Nilai Sosial dalam Syair Karambangan Suku Pamona Ciptaan Nardi Banggai Yunidar, Yunidar; Khairunnisa Bakari
Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Vol. 10 No. 4 (2024)
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/onoma.v10i4.4466

Abstract

Suku Pamona adalah suku yang memiliki berbagai macam budaya dan kesenian yang diwariskan secara turun-temurun oleh leluhur mereka. Salah satu kesenian yang masih bisa kita dapatkan hingga saat ini adalah syair karambangan yang di dalamnya memuat nilai-nilai kehidupan. Fokus permasalahan dalam penelitian ini yaitu: bagaimanakah nilai sosial yang terdapat dalam syair karambangan Suku Pamona ciptaan Nardi Banggai. Tujuan pada penelitian ini adalah mendeskripsikan nilai sosial yang terdapat dalam syair karambangan suku pamona ciptaan Nardi Banggai. Penelitian ini termasuk jenis penelitian kualitatif. Data penelitian ini berupa syair karambangan yang diperoleh melalui narasumber langsung. Penelitian ini dilaksanakan di Pamona Selatan, Kabupaten Poso. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, wawancara, dan studi dokumentasi. Hasil penelitian ini metemukan bahwa syair karambangan Suku Pamona memiliki nilai-nilai sosial seperti: Nilai kasih sayang, Nilai tanggung jawab, dan Nilai keserasian hidup. Nilai kasih sayang terdiri atas Nilai pengabdian, Nilai menolong, Nilai kesetiaan, dan Nilai kepedulian. Nilai tanggung jawab terdiri atas nilai rasa memiliki, nilai disiplin, dan nilai empati. Nilai keserasian hidup terdiri atas nilai keadilan, nilai toleransi, nilai kerja sama, dan nilai demokrasi . Nilai-nilai sosial tersebut dapat kita lihat pada Suku Pamona dalam menjalankan kehidupan sehari-hari.
An-Naẓariyyah Al-Ma’rifiyyah Wa Istikhdāmuhā Fī Ta’līmi Al-Lugah Muna, Lia Aulial; Ningrum, Yunidar Ayu; Pertiwi, Rizqina Wahyu Laras
Al-Tadris: Jurnal Pendidikan Bahasa Arab Vol 8 No 2 (2020): Al-Tadris: Jurnal Pendidikan Bahasa Arab
Publisher : Faculty of Education and Teachers Training of UIN Sayyid Ali Rahmatullah Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/tadris.2020.8.2.222-236

Abstract

Cognitive theory is the main stream that makes learning and teaching closer to the realities of human learning, because cognitive theory takes into account the characteristics of learners and the factors that influence learning and the process. Cognitive theory aims to answer the basics that help students prepare and processing information so that this information is relevant which means for them become independent in their learning. This cognitive theory is based on attention to internal cognitive process, namely: attention, perception, acceptance, processing, and information processing. And the applicaton of this cognitive theory in language learning is possible in learning material, learning methods, learning media, teaching methods and so on. In this article the writer shows the application of this cognitive theory in the design of subject in speech skill.
Analisis Wacana Kritis dalam Film Pattongko Siri sebagai Representasi Budaya Suku Bugis Makassar Tiara Artamefia; Yunidar, Yunidar; Asrianti, Asrianti; Moh. Tahir; Arum Pujiningtyas
Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Vol. 11 No. 4 (2025): Penulis dari 3 negara (Indonesia, Jerman dan Turki)
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/onoma.v11i4.7065

Abstract

Penelitian ini bertujuan untuk menganalisis representasi nilai budaya Bugis Makassar dalam film Pattongko Siri’ dengan menggunakan kerangka Analisis Wacana Kritis (AWK) Teun A. van Dijk. Penelitian ini menggunakan pendekatan deskriptif kualitatif. Data penelitian berupa wacana dalam film yang mencakup aspek linguistik dan aspek yang merepresentasikan nilai budaya Bugis-Makassar. Sumber data penelitian berupa adegan dan dialog dalam film Pattongko Siri’ yang diproduksi oleh Viu Shorts dan tayang pada tahun 2019. Teknik pengumpulan data dilakukan dengan dua teknik, yaitu teknik simak dan teknik catat. Data yang diperoleh kemudian dianalisis menggunakan model AWK Teun A. van Dijk yang mencakup tiga struktur utama,  yakni (1) struktur makro, (2) superstruktur, dan 3) struktur mikro. Hasil penelitian menunjukkan bahwa film Pattongko Siri’ merepresentasikan nilai siri’ sebagai instrumen kontrol sosial dan mekanisme pemulihan kehormatan keluarga dalam budaya Bugis. Wacana yang dibangun menegaskan distribusi peran gender yang timpang, di mana perempuan lebih banyak menanggung beban psikologis, sementara laki-laki diposisikan sebagai penyelamat kehormatan melalui tanggung jawab moral dan sosial. Dengan demikian, film ini tidak hanya merefleksikan budaya Bugis-Makassar, tetapi juga memperkuat ideologi patriarki serta menegaskan peran adat sebagai solusi legitimasi sosial dan budaya.
Co-Authors . Melinda . Roslidar Abdul Kamaruddin Ade Nurul Izatti G. Yotolembah Agustan Akbar Akbar Akbar, Muhazir Al Bahri Ali Karim Ali Karim Ali Karim Alit Suputra, Gusti Ketut Amalia Amalia Aman Aman Amrie Firmansyah Andi Bismawati Andi Safutra Suraya Anizar, Lis Anjar Kusuma Dewi Anjar Kusuma Dewi Arfan Fauzan Arini Nurazizah Arjia Arum Pujining Tyas Arum Pujining Tyas Arum Pujiningtyas Asniar Asniar Asrianti, Asrianti Azhari, Rizki Aziz, Zulfadli Abdul Azra, Ery Bashir, Nurlida Basir, Nurlida Christi L., Rita Cindy Afitasari D Acula, Donata Darmawan Darmawan Daud, Bukhari Dian Safitri Dina Karina Efendi Efendi Efendi Elizar Elizar, Elizar Fara Klara Dita Farhan Fathur Rahman, Imam Fathurrahman Fathurrahman Fatmawati Fatmawati Fauzan, Arfan Fauziah Gusvita Syarah Femmy Jacoba Ferdi Nazirun Sijabat, Ferdi Nazirun Ferdinand, Frans Fitri Arnia Gazali Lembah Gazali, Syahrul Golar Golar Gopal Sakarkar Gusti Alit Saputra Gusti Alit Suputra Gusti Ketut Alit Suputra Gusti Ketut Alit Suputra Harisa, Sitti Hasan, Hafidh Hasan, Vania Pratama Hasriani Muis Heltha, Fahri Herlina Dimiati, Herlina Herman Nirwana Hidayat Hidayat I Gusti Ketut Alit Saputra I Ketut Agung Enriko I Made Sukanata Ida Nur'aeni Ida Nuraeni Indarwati , Retno Indra Indra Indriani Rais, Fajrin Irdawati Irdawati Islamy, Fajrul Jayanti Puspita Dewi Jumeil, T Muhammad Juniati Juniati Karlisa Priandana Khairia, Syaidatul Khairunnisa Bakari Khairunnisa Bakari Laguliga, Syapril A. Lailatul Qadri Zakaria Lantuba, Yanis Men Luluk Khusnul Dwihestie M Asri B M. Asri B Mahfuzha, Raudhatul Malahayati, M. Maulida, Zenitha Maulisa, Oktiana Miftahujjannah, Rizka Moh Tahir Moh. Tahir Moh. Tahir Moh. Tahir Mohammad Tahir Mohammad Tahir Mohd. Syaryadhi Muh Tahir Muhammad Irhamsyah Muhammad Muhammad Muhammad Ridwan Muna, Lia Aulial Mursidin . Muthia Aryuni Nabila, Nissa Hasna Nasaruddin Nasaruddin Nazilla, Izza NFN Nursyamsi NFN TAMRIN Ningsih, Wirdaningsih Nirmayanti, Nirmayanti Nizam Salihin Nur Ahyani Nur Eva Nur Fadilah Nur Halifah Nur Halifah, Nur Nur'aeni, Ida Nuraedah Nurbadriani, Cut Nanda Nurbaya Nurbaya, Nurbaya Nurbismi, Nurbismi Nurlida Basir Nurrahmad, Nurrahmad Nursyamsi Nursyamsi Nur’aeni, Ida Paesani, Arham Pandaleke, Alex Y. Pertiwi, Rizqina Wahyu Laras Pratama Bayu Santosa Putry Damayanti Qadri Zakaria, Lailatul Rafiqi, Ashaf Rahmatika, Laily Raihan, Siti Ramadani, Nurhaliza Ramadhani, Hanum Aulia Ramdhana, Rizka Rhamdhani, Rhamdhani Rin Koffia Fajrawani Rin Koffia Fajrawani Rini Safitri Roslawa, Roslawa Ruhaliah Ruhaliah Sabiran, Sabiran Sadia, Fachrudin Saharudin Barasandji Sahrul Saehana Sakarkar, Gopal Salsabila, Unik Hanifah Samad, Muhammad Ahsan Sarmin Sarmin Satria Satria, Satria Setiawan, Verdy Siti Aminah Lapangandong Siti Fatinah Siti Rusdiana Sitti Harisah Sri Jelis Suci Rahayu Suharja, Anggi Auliyani Sukma Sukma Sukma, Sukma Suyanda, Arya Syahyadi, Rizal Syakir, Fakhrus Syamsuddin Syamsuddin Syamsuddin Syamsuddin Syamsuddin Syamsuddin Syarifah Mauli Masyithah Tahir, MUH Tamrin Tamrin Tamrin Tamrin Tiara Artamefia Ulfa Ulfa Ulfah Ulfah Ulfah Ulfah Ulinsa Ulinsa, Ulinsa Ulinsa, Ulinsa Ulul Azmi Vilzati, Vilzati Wachidi, Achmad Wahyuni, Silvya Dwi Waladah, Buleun Wardana, Surya Wong, W.K Wong, W.K. Yazid Yaskur Yudha Nurdin Yusni, Y Yuwaldi Away Zainab Zulfikar Taqiuddin Zulhelmi, Zulhelmi Zulianto, Sugit