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Novel Predictive Framework for Student Learning Styles Based on Felder-Silverman and Machine Learning Model Maulana Baihaqi, Wiga; Eko Saputro, Rujianto; Setyo Utomo, Fandy; Sarmini, Sarmini
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.408

Abstract

This study analyzes data from the Open University Learning Analytics Dataset to evaluate how students' interactions with Virtual Learning Environment (VLE) materials influence their final outcomes. This research aims to formulate and build a novel predictive framework based on the Felder-Silverman and Machine Learning Model for student learning styles. Based on these objectives, this research provides novelty and contributions since it enhances student data analysis, uses a learning model using Felder-Silverman Learning Style Model (FSLSM) to give a more comprehensive understanding of students' learning styles, and improves prediction accuracy by introducing Artificial Neural Network (ANN) and feature selection using Random Forest. The data used includes 3 main files: vle.csv, which contains information about the materials and activities in the VLE; studentVle.csv, which records students' interactions with the materials; and studentInfo.csv, which provides demographic information of students and their final outcomes. The analysis process involved data merging and processing, including handling of missing values, data type conversion, as well as mapping activity types to learning style features based on the FSLSM. We use the Random Forest feature selection method, as well as data imbalance handling techniques such as oversampling, to improve model performance. The applied classification models include Logistic Regression, K-Nearest Neighbor, Random Forest, Support Vector Machine (SVM), and ANN. The analysis results showed that after tuning, the Random Forest model achieved 97% accuracy, while SVM achieved 97% accuracy as well, with better performance than previous studies. This research highlights the importance of comprehensive data integration and appropriate processing techniques in improving the accuracy of student learning style prediction. Based on the increase in accuracy results, it can be beneficial for more effective personalized learning and improve our understanding of students' learning style preferences. The research advances knowledge and provides practical applications for educators to tailor their teaching strategies.
Predicting Network Performance Degradation in Wireless and Ethernet Connections Using Gradient Boosting, Logistic Regression, and Multi-Layer Perceptron Models Widiawati, Chyntia Raras Ajeng; Sarmini, Sarmini; Yuliana, Dwi
Journal of Applied Data Sciences Vol 6, No 1: JANUARY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i1.519

Abstract

This study explores predicting network performance degradation in wireless and Ethernet connections using three machine learning algorithms: XGBoost, Logistic Regression, and Multi-Layer Perceptron (MLP). Key metrics, including accuracy, precision, recall, F1-score, and AUC-ROC, were employed to evaluate model performance. The MLP classifier achieved the highest accuracy (98.7%) and AUC-ROC (0.9998), with a precision of 1.0000 and recall of 0.8622, resulting in an F1-score of 0.9260. Logistic Regression provided reasonable baseline performance, with an accuracy of 93.67%, AUC-ROC of 0.9565, and an F1-score of 0.5992, but struggled with non-linear dependencies. XGBoost showed limited utility in detecting degradation events, achieving an F1-score of 0 despite a perfect AUC-ROC (1.0), indicating sensitivity to imbalanced data. Through hyperparameter tuning, MLP demonstrated robustness in capturing complex patterns in network latency metrics (local_avg and remote_avg), with remote_avg emerging as the most predictive feature for identifying degradation across both network types. Visualizations of latency dynamics demonstrate the higher predictive relevance of remote latency (remote_avg) in both network types, where spikes in this metric are closely associated with degradation. The findings underscore the effectiveness of using latency metrics and machine learning to anticipate network issues, suggesting that MLP is particularly well-suited for real-time, predictive network monitoring. Integrating such models could enhance network reliability by enabling proactive intervention, crucial for sectors reliant on continuous connectivity. Future work could expand on feature sets, explore adaptive thresholding, and implement these predictive models in live network environments for real-time monitoring and automated response.
Health and Socio-Demographic Risk Factors of Childhood Stunting: Assessing the Role of Factor Interactions Through the Development of an AI Predictive Model Hariguna, Taqwa; Sarmini, Sarmini; Azis, Abdul
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.612

Abstract

Stunting is a significant global health problem, especially in developing countries such as Indonesia. This study aims to develop and evaluate an artificial intelligence (AI)-based predictive model to identify the risk of stunting in children using the CatBoost algorithm which is a combination of Weighted Apriori and XGBoost. This model is designed to utilize the advantages of each algorithm in handling data with variable weights to improve prediction accuracy. Feature analysis shows that "Height (cm) Age (months)" are the main indicators in classifying children's nutritional status. Model evaluation shows high accuracy of 94.85%, precision of 95%, recall of 94.85%, and F1 Score of 94.84%. Kappa Coefficient and Matthews Correlation Coefficient (MCC) reached 93.13% and 93.19%, respectively, while ROC-AUC reached 99.70%. These findings indicate that the CatBoost model can provide highly accurate results in detecting the risk of stunting and offer in-depth insights into risk factors that can improve the effectiveness of health interventions. This study fills the gap in the literature by integrating the Weighted Apriori and XGBoost algorithms, providing a significant contribution to early detection of stunting and supporting government efforts to reduce the prevalence of stunting in Indonesia and other regions.
PELAKSANAAN PROGRAM DZIKIR JAMA’I JUM’AT PAGI DAN TAUSIYAH SISWA SEBAGAI MANAJEMEN PENDIDIKAN KARAKTER DI SEKOLAH ISLAM NABILAH BATAM, KEPULAUAN RIAU Sarmini, Sarmini; Titik W, Diana; Ferdila, Ferdila; Mustika, Ita; Catra Y, Wayan
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 7, No 11 (2024): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v7i11.4513-4518

Abstract

Program Penguatan Pendidikan Karakter (PPK) yang tertuang dalam Perpres Nomor 87 Tahun 2017 merupakan bagian dari penyiapan generasi     mendatang     untuk     menghadapi tantangan dan tuntutan abad ke-21. Landasan hukum   pendidikan   karakter   di   Indonesia adalah  Pancasila  dan  UUD  1945  Konsensus tersebut    lebih    lanjut    ditegaskan    melalui Undang-Undang   Nomor   20   Tahun   2003 tentang Sistem Pendidikan Nasional (Saputro and  Murdiono,  2020).  Ada  empat  dimensi pendidikan   karakter   yang   tersurat   dalam tindakan yaitu:   perkembangan   intelektual, perkembangan    spiritual    dan    emosional, perkembangan    fisik,    dan    perkembangan kreativitas. Pengabdian yang dilakukan di Sekolah Islam Nabilah Batam bertujuan untuk mendukung dan memaksimalkan dalam pelaksanaan program Dzikir Jama’i serta Tausiyah Siswa yang sudah dilaksanakan sebagai salah satu Pendidikan Karakter. Dalam Pengabdian Masyarakat ini menggunakan metode Pelatihan dan menyampaian informasi serta penerapan dalam pelaksanaannya pada program Dzikir Jamai, dan Tausiyah Siswa sebagai Manajemen Pendidikan Karakter. Pelaksanaan Pengabdian di Sekolah Islam Nabilah dilaksanakan mulai dari 24 April s.d. 24 Mei 2024. Peserta dihadiri oleh siswa-siswi SMP dan SMA Islam Nabilah yang berjumlah kurang lebih 110 siswa. Pemberi materi 3 dosen dan 2 mahasiswa dari Universitas Batam dan Universitas Ibnu Sina, Batam.  
Peningkatan Kompetensi Pengelola Rumah Tinggal Mahasiswa Dalam Memberikan Pelayanan Untuk Menjaga Kewibawaan Kampus Unesa 5 Sarmini, Sarmini; Gamaputra, Gading; Alrianingrum, Septina; Pahlevi, Rahma Shintya; Dzikri, Muhammad Zulfikar
Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol 24, No 2 (2024): Suluah Bendang: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sb.05440

Abstract

The opening of Unesa Campus 5 in Magetan Regency has an impact on the campus environment, namely the economic impact with the need for housing for students. The high demand for housing has a negative effect on the surrounding community due to the characteristics of students who come from outside the Magetan Regency area, which is different in terms of values and behavior. So as to overcome these problems, the Directorate of Campus Outside the Main Campus provides solutions through community service by making training to increase the competence of student residence managers. The activity was carried out in Maospati District with gradual socialization. The target of the activity is the manager of the residence in Maospati District, totaling 25 people. This socialization will provide an understanding of the rental mechanism both in terms of procedures and documents that are adjusted to the Standard Operating Procedures, as well as the publication of residential houses through electronic media.
SOSIALISASI SIKAP DAN MOTIVASI KERJA GURU Sarmini, Sarmini; Windayati, Diana Titik; Mustika, Ita; Ferdila, Ferdila; Gunawan, Dahlan
Jurnal Pengabdian Ibnu Sina Vol. 4 No. 1 (2025): Januari 2025
Publisher : LPPM Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/j-pis.v4i1.950

Abstract

ABSTRAK Tantangan dalam Manajemen Sumber Daya Manusia dalam dunia Pendidikan menjadi PR bagi seluruh pihak dalam satuan Pendidikan. Hal ini tampak pada belum maksimalnya peran guru dalam sikap positif dan masih rendahnya motivasi kerja, sehingga perlu adanya solusi terbaik untuk meningkatkan kualitas satuan Pendidikan. Tujuan kegiatan PKM ini memberikan Solusi pada masalah mitra, yaitu memberikan pemahaman tentang bagaimana bersikap positif dan meningkatkan motivasi kerja. Lokasi kegiatan PKM adalah Sekolah Islam Nabilah, Batam. Metode pengumpulan data dalam pengabdian ini adalah dengan cara memberikan kuesionar bagi responden serta wawancara dengan empat kepala sekolah per jenjang yang ada di Sekolah Islam Nabilah. Diharapkan dengan Sosialisasi ini dapat meningkatkan sikap positif dan juga motivasi di lingkungan kerja. Metode yang digunakan adalah sosialisasi, memberikan informasi serta sharing terkait Sikap dan Motivasi Kerja. Hasil dari PKM ini, terbukti guru-guru menjadi lebih semangat sehingga meningkatkan sikap positif dan motivasi dalam bekerja. Kata Kunci: Sumber Daya Manusia, Sikap dan Motivasi Kerja, Sekolah Islam Nabilah ABSTRACT Challenges in Human Resource Management in the world of Education are homework for all parties in the Education unit. This is evident in the less thanoptimal role of teachers in positive attitudes and low work motivation, so there needs to be the best solution to improve the quality of the Education unit. The purpose of this PKM activity is to provide a solution to partner problems, namely to provide an understanding of how to have a positive attitude and increase work motivation. The location of the PKM activity is Nabilah Islamic School, Batam. The method of data collection in this service is by providing questionnaires for respondents and interviews with four principals per level at Nabilah Islamic School. It is hoped that this Socialization can increase positive attitudes and motivation in the work environment. The methods used are socialization, providing information and sharing related to Work Attitudes and Motivation. The results of this PKM, it is proven that teachers become more enthusiastic so that they increase positive attitudes and motivation in working. Keywords: Human Resources, Work Attitudes and Motivation, Nabilah Islamic School
TOTAL QUALITY MANAGEMENT ( TQM ) DALAM PENINGKATAN KUALITAS PENDIDIKAN DI SEKOLAH ISLAM NABILAH sarmini, sarmini; Windayati, Dian Titik; Sumantri, Sumatri; Elfina, Rini
Manajerial dan Bisnis Tanjungpinang Vol 7 No 2 (2024): Jurnal Manajerial dan Bisnis Tanjung Pinang vol 7 no 2 2024
Publisher : STIE PEMBANGUNAN TANJUNGPINANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52624/manajerial.v7i2.2443

Abstract

Total Quality Management (TQM) atau disebut pula Pengelolaan Mutu Total merupakan sebuah konsep yang meliputi usaha meningkatkan mutu secara terus menerus pada semua tingkatan manajemen dan seluruh struktur yang terdapat dalam organisasi. Dalam instansi apapun TQM mempunyai peran penting dalam pencapaian kualitas yang ditetapkan. Tak terkecuali dalam dunia Pendidikan. Dalam hal ini Tim PKM mengadakan sosialisasi terkait Total Quality Manajemen Dalam Meningkatkan Kualitas Pendidikan di Sekolah Islam Nabilah, Batam. Adapun tujuan dari kegiatan PKM untuk memberikan masukan, pemahaman terkait TQM dalam meningkatkan kualitas pendididkan di sekolah dan menjalin kolaborasi positif dari Kerjasama yang telah dilakukan oleh Universitas Batam dengan mitra, yaitu Sekolah Islam Nabilah. . Peserta sosialisasi seluruh guru dan karyawan mulai dari TK hingga SMA serta siswa SMP dan SMA Islam Nabilah, yang secara keseluruhan berjumlah sekitar 300 an peserta. Pelaksanaan PKM dilaksanakan pada tanggal 18 Desember 2024. Siswa yang hadir didominasi peserta dari SMP dan SMA Islam Nabilah yang berjumlah kurang lebih 200 siswa. Pemberi materi 3 dosen dan 2 mahasiswa dari Universitas Batam.
PELATIHAN UNTUK PENGUATAN KAPASITAS GURU IPS SMP KABUPATEN PASURUAN DALAM IMPLEMENTASI KURIKULUM MERDEKA Khotimah, Kusnul; Suprijono, Agus; Prasetyo, Ketut; Sarmini, Sarmini; Harianto, Sugeng; Prasetya, Sukma Perdana; Segara, Nuansa Bayu
Bestari: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 1 (2025)
Publisher : Sekolah Tinggi Keguruan dan Ilmu Pendidikan (STKIP) Melawi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46368/dpkm.v5i1.3234

Abstract

Tuntutan implmentasi kurikulum merdeka mengharuskan guru beradaptasi. Namun demikian masih banyak guru IPS SMP di Kabupaten Pasuruan yang belum paham dalam mengimplementasikan Kurikulum Merdeka. Banyak guru yang masih bingung dan belum percaya diri untuk menyusun modul ajar yang sesuai dengan karakteristik sekolah dalam pembelajaran IPS. Program ini bertujuan utuk meningkatkan kemampuan guru dalam menyusun modul ajar pembelajaran IPS kontekstual sesuai karakteristik sekolah. Pelatihan dilaksakanan dalam tiga kali yaitu in service training 1 secara daring synchronous, on the job training secara daring asynchronous dan in service training 2 secara luring. Secara keseluruhan kegiatan ini telah berhasil untuk meningkatkan kemampuan guru IPS SMP Kabupaten Pasuruan. Dengan tingkat keberhasilan yang tinggi, baik dalam jumlah pengumpulan tugas maupun kualitas hasilnya, peserta dapat menerapkan modul ajar yang mereka susun ke dalam pembelajaran di kelas. Hasil ini juga menjadi bukti bahwa pelatihan PKM mampu memberikan dampak nyata dalam meningkatkan kompetensi guru dalam menyusun dan mengimplementasikan pembelajaran berbasis Kurikulum Merdeka.
HUBUNGAN INTERAKSI SOSIAL DENGAN TINGKAT DEPRESI PADA LANSIA DI PANTI JOMPO RUMAH BAHAGIA KABUPATEN BINTAN Sarmini, Sarmini; Amelia, Cevy
Zona Kebidanan: Program Studi Kebidanan Universitas Batam Vol 9 No 3 (2019): AGUSTUS
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/zkeb.v9i3.595

Abstract

Background the life of elderly need communication and social interactions with one another. Social interaction play a major role in elderly life. The lack of social interaction will cause the elderly to feel isolated, the feel of uselessness and  these will make elderly to be more isolated and  lonely. When the elderly feel more isolated, this will cause the elderly to be more fragile to psychiatric problem, one  of  them  is depression. Methods this research method is analytical observational with cross sectional study, and conducted in Rumah Bahagia elderly nursing home in Bintan Regency. Sampling technique was total sampling, 45 samples were obtained. The results were analyzed by frequency distribution in cross tabulations which then tested by Chi-square test. The results showed that of the 45 samples, there were 21 elderly had bad sosial interaction with 3 (14.3%) elderly with mild depression level, 8 (38.1%) elderly with medium depression level, and 10 (47.6%) elderly with severe depression level. While there were 24 elderly have good social interaction, there are 16 (66.7%) elderly with mild level depression, 6 (25.0%) elderly with medium depression level, and 2 (8.3%) were in severe depression. Based on the statistical test, significant correlation of social interaction  and level of depression was obtained with p value of 0.001 (p <0.05). Conclusion based on these results we can conclude the presence of significant correlation of sosial interaction and level of depression in the elderly of Rumah Bahagia elderly nursing home in Bintan Regency 2017.
HUBUNGAN STRES DENGAN INDEKS MASSA TUBUH PADA SISWA KELAS 3 SMK PENERBANGAN NASIONAL BATAM Amelia, Cevy; Sarmini, Sarmini
Zona Kebidanan: Program Studi Kebidanan Universitas Batam Vol 11 No 1 (2020): DESEMBER
Publisher : Universitas Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37776/zkeb.v11i1.693

Abstract

Stress is one of the responses of the body and mind's balance to change. One of the age groups susceptible to stress is adolescents. In general academic problems are the main source of stress for students. Stress if left unmanaged, can cause severe psychological and metabolic consequences. Psychological stress is often associated with increased food consumption, especially in consuming high-fat foods. Stress can also change overall food intake, such as lack or excess according to the severity of stress Observational analytic research with cross sectional approach that done in Batam National Flight Vocational School  in 2019. The sampling method  is total sampling with a sample of 39 students in grade 3. The collected data were analyzed using the Kolmogorov-smirnov test with a significance level of α = 0.05The results of this study found that the stress that dominates in this study is the mild stress category of 20 respondents (51.3%) in 3ird grade students of Batam National Aviation Vocational School. Whereas the most dominating body mass index results in this study were the Overweight-Obesity category of 21 respondents (53.8%) in the 3rd grade students of Batam National Aviation Vocational School. The Kolmogorov-smirnov test results obtained a value (p = 0.001), H0 was rejected and Ha was accepted. based on this research result, researcher conclude that there is a significant correlation between the correlation of stress with bodyy mass index in class 3 student of Batam National Flight Vocational School in 2019.
Co-Authors Abdul Azis Abdul Fadlil Abednego Dwi Septiadi Aditiya, Eka Candra Rachmad Adiya, Az Zahra Dwi Nur Agung Dwi Bahtiar El Rizaq agung setiawan Agus Suprijono Agus Suprijono Agus Taufik Mulyono AHMAD MUZAKKI Ali Imron Amalia Fatma Pitaloka Amelia, Cevy Andi Hidayatul Fadlilah Andika Prasetya Nugraha Anindya, Salsa Antartika, Abrianty Arif Rahman Hakim Arifah, Laila Nur Ariyanti Ariyanti Ariyanti Ariyanti Artono Artono, Artono Asri, Maulidya Anggreani Puspita Aura Afan Shabrina Ayudya Nova Puspaningtyas Bambang Satriawan BAYU SEGARA PUTRA, GEDE Bela, Sita Bisri, Mashur Hasan Catra Y, Wayan Cevy Amelia Chyntia Raras Ajeng Widiawati Dahlan Gunawan Daniel Happy Putra Diah Ainin Budiarti Dinata, Candra DWI GATI, NITA Dwi Dwi Krisbiantoro, Dwi Dzakkiyah, Alya Khansa Dzikri, Muhammad Zulfikar Eka Tripustikasari, Eka Elminaliya Sandra Elsa Komala, Elsa Ely Kurniawati Erina Rahmadyanti Ervina Halit Faisal, Vava Imam Agus Fandy Setyo Utomo Febri Edward Febrianti, Diah Ratna Ferdila, Ferdila Fira, Choly Septa Fitriya, Ulthufna Kausarul FX Sri Sadewo Gading Gamaputra Galih Setyawan, Katon Galih Wahyu Pradana Gomgom Samosir, Marinus Hendra Budiman Hidayat, Mokh. Aldi Hidayati, Armawati Hidayatu Munawaroh, Hidayatu hidayatulloh, hanif Ilham, Rifqi Arifin Imam Tahyudin Indriyani, Ria Irvani, Zendika Ita Mardiani Zain Jacky, M Katon Setyawan Ketut Prasetyo Khadijah Khadijah Kharisma, Marcellina Tiara Putri Khasanah, Fitrotul Khoerida, Nur Isnaeni Kristanti, Fania Putri Kurnia Imtichatus Sholichah Kusnul Khotimah Kusnul Khotimah Kusnul Khotimah Laila Vika Safitri Lailiyah, Faridatul Lediawati, Teni Siti Linayati Lestari, Linayati Listyaningsih Listyaningsih LUTFAIDAH, ANNA M., Jacky Ma'arifah, Windiya Mahat, Hanifah Maulana Baihaqi, Wiga Maya Richmayati Mengkepe, Amy Dara Istikoma MUHAMMAD JACKY Muhammad Turhan Yani Mujahidin, Muhammad Diwanul Mulyadi Mulyadi Mustika, Ita Nabela, Mukaromah Efirahmasetiani NAGALIMAN, Nagaliman Nasution Nasution Nasution Nasution Ngaliman, Ngaliman Ningrum, Diah Luckyta Niswatin Nuansa Bayu Segara Nuansa Bayu Segara Nugroho Hari Purnomo Nurdewanti, Nilam Puspita Nurul Hidayati Oksiana Jatiningsih Pahlevi, Rahma Shintya Pambayun, Niken Lia Prihatiningtias Pamor Gunoto Prameswari, Karina Puspita Prastuti, Ajeng Eka Pratama, Cindy Arinda Diah Pratama, Irfan Pratama, Satrya Fajri Pratama, Wildan Razzaq Pungkas Subarkah Purba, Iman Pasu Marganda Hadiarto Puspaningtyas, Ayudya Nova Rahma, Zahra Alida Asa Rahmah, Anisa Aulia Ramadhan, Rio Fadly Rasyid, Suparta Rendianto, Fakrul Aldi Rini Elfina Risa Ayu Aktavia Riski Darma Santi Risnawati Risnawati Riswandhi Ismail Rujianto Eko Saputro Sabri Sabri Salma, Karina Salsabila, Firdausi Irma Sanuri, Ranti Saputra, Aina Aldi Saputri, Inka Sasmita Timur, Elshinta Agustin Septina Alrianingrum Setiyono, Rizal Setyawan, Katon Galih Silalahi, Ratna Dewi Siraj Siraj Siti Maizul Habibah Sri Hartini Sri Yanti Sugandi, Zain Arif Wildan SUGENG HARIANTO Suhaimi Suhaimi Sukartiningsih, Sri Sukma Perdana Prasetya Sumantri, Sumatri Sunardi Sunardi Sunarto Sunarto Supriyanto, Muhammad Susanti, Martini D.E Suyono Suyono Syahrizaldy, Hikmalul A'la Syawaldi, Rizky Bilal Syifa Fauziah Taqwa Hariguna Tarwoto, Tarwoto Turhan, Muhammad Ulthufna Kausarul Fitriya Uswatun Hasanah Wahid, Arif Mu'amar Wahyu, Herta Tri Waluyo, Retno Warsono Warsono Widiawati, Chyntia Windayati, Dian Titik Windayati, Diana Titik Yasmin, Fathimah Nur Yenny Aryaneta Yi, Ding Yuanita FD Sidabutar Yuliana, Dwi Yuliarti, Agnes Pradini Yulvinda, Rossa Yuniar, Indhiawan Yunita, Ika Romadoni Zamzami, Mohammad Aqil Misbach Zein, Ita Mardiani