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All Journal Media Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Ilmiah Kursor BIOTIK: Jurnal Ilmiah Biologi Teknologi dan Kependidikan Jurnal Ilmiah Pangabdhi Journal of Natural Sciences and Mathematics Research Jurnal Ekonomi dan Bisnis Islam Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) Jurnal Sains Matematika dan Statistika INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Matematika: MANTIK MUST: Journal of Mathematics Education, Science and Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Zeta - Math Journal J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Mathvision : Jurnal Matematika Journal of Islamic Monetary Economics and Finance Variance : Journal of Statistics and Its Applications Jurnal Varian Publica: Jurnal Pemikiran Administrasi Negara Jurnal ABDINUS : Jurnal Pengabdian Nusantara G-Tech : Jurnal Teknologi Terapan Inferensi Contemporary Mathematics and Applications (ConMathA) ESTIMASI: Journal of Statistics and Its Application Didaktika: Jurnal Pemikiran Pendidikan JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Journal of Mathematics Education and Science Tensor: Pure and Applied Mathematics Journal Jurnal Jeumpa Biofaal Journal Jurnal Pengabdian kepada Masyarakat Indonesia (JPKMI) Islamiconomic: Jurnal Ekonomi Islam Journal of Health and Nutrition Research Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Journal of Scientific Research, Education, and Technology Journal Focus Action of Research Mathematic (Factor M) Jurnal Statistika dan Komputasi (STATKOM) Jurnal Pengabdian Masyarakat Bangsa Eksponensial Jurnal Agroteknologi Merdeka Pasuruan Limits: Journal of Mathematics and Its Applications
M. Fariz Fadillah Mardianto
Department Of Mathematics, Faculty Of Science And Technology, Universitas Airlangga, Jl. Dr. Ir. H. Soekarno, Mulyorejo, Kec. Mulyorejo, Kota Surabaya, Jawa Timur 60115
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Pengembangan Wisata Grojogan Londo melalui Lagu Kreasi sebagai Media Promosi Mardianto, M. Fariz Fadillah; Pusporani, Elly; Amelia, Dita; Rani, Lina Nugraha; Siregar, Naufal Ramadhan Al Akhwal; Simamora, Antonio Nikolas Manuel Bonar
Jurnal ABDINUS : Jurnal Pengabdian Nusantara Vol 8 No 2 (2024): Volume 8 Nomor 2 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/ja.v8i2.19896

Abstract

Tourism villages are a form of implementation of community-based and sustainable tourism development. Grojogan Londo Tourism has its signature song entitled "Grojogan Londo" by Sodiq New Monata and has been watched 6,230 times on YouTube. In addition, there is a song composed by the Statistics Assisted Village Program Team at the University of Airlangga entitled “Ayang Londo”. Therefore, this study aims to measure respondents' assessment of the two Grojogan Londo Tourism promotional songs. Data was obtained through an online survey using Google Forms with 117 respondents and then analyzed descriptively, correlationally and comparatively. The method used is descriptive statistics, Rank Spearman correlation test, and Mann-Whitney test. The data support the hypothesis that the respondents' interest in the songs "Grojogan Londo" and "Ayang Londo" is different. In addition, 41.9% of respondents believe that music-based promotional media can influence tourists' interest in traveling to certain areas. Therefore, Grojogan Londo tourism promotion songs must be promoted more aggressively through various social media channels which are currently popular among the public, especially the millennial generation. This research contributes to expanding the literature and increasing knowledge about marketing media through songs and their influence on tourist interest which needs to be done as an effort to evaluate tourism development.
Analisis Sentimen Masyarakat terhadap Keamanan Penggunaan E-Commerce B2C Menggunakan Pendekatan Naïve Bayes Berbasis Text Mining untuk Mencegah Penipuan Marcelena Vicky Galena; Adnan Syawal Adilaha Sadikin; Aprilia Prastyaningrum; Reza Febrian Nugroho; M. Fariz Fadillah Mardianto
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4846

Abstract

Perkembangan teknologi di Era Society 5.0 telah mengubah interaksi pemasaran dari tatap muka menjadi interaksi melalui layar, seperti belanja online menggunakan e-commerce. Menurut Statista Market Insights, jumlah pengguna e-commerce di Indonesia mencapai 178,94 juta orang pada tahun 2022, dengan nilai transaksi sebesar Rp476,3 triliun. Namun, e-commerce rentan terhadap cybercrime. Ditipideksus Polri menerima 16.845 laporan kejahatan siber antara 2017 dan 2020. Penelitian ini bertujuan menganalisis sentimen masyarakat mengenai keamanan e-commerce melalui komentar di Play Store dan App Store menggunakan pendekatan Naïve Bayes yang sederhana, tetapi memiliki tingkat akurasi yang tinggi. Hasil analisis menunjukkan model Naïve Bayes memiliki akurasi 80% di Play Store dan 87% di App Store, dengan AUC masing-masing 0,864 dan 0,942, menunjukkan kinerja yang sangat baik dalam klasifikasi sentimen. Diharapkan penelitian ini dapat membantu e-commerce B2C untuk meningkatkan keamanan, seperti implementasi teknologi keamanan yang lebih kuat, edukasi pengguna, serta transparansi terhadap insiden keamanan guna meningkatkan kepercayaan pengguna.
Analisis Korelasi Kanonik Terhadap Hubungan Faktor Meteorologi dengan Produksi Tanaman Perkebunan Baihaqi, Mochammad; Dwiyanto, Adelia Sukma; Rahmada, Indrastanto Oktodian; Pratama, Fachriza Yosa; Mardianto, M. Fariz Fadillah; Amelia, Dita; Ana, Elly
Zeta - Math Journal Vol 9 No 2 (2024): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.2.73-82

Abstract

Tanaman perkebunan merupakan tanaman yang hasil panennya bisa berbeda-beda tergantung dengan keadaan udara yang termasuk indikator meteorologi. Untuk mengetahui hal tersebut dapat menggunakan analisis korelasi kanonik. Penelitian yang dilakukan menggunakan data sekunder, yakni data yang berasal dari sumber yang telah ada.Hasil pencatatan dari faktor meteorologi dan produksi tanaman perkebunan menurut Provinsi pada tahun 2015 digunakan sebagai data sekunder yang akan dianalisis. Data yang diambil yaitu data faktor meteorologi yang terdiri dari suhu (Y1), kelembaban (Y2), curah hujan (Y3), penyinaran matahari (Y4), tekanan udara (Y5) dan data produksi tanaman perkebunan yang terdiri dari Kelapa Sawit (X1­), kelapa (X2), karet (X3), kopi (X4), kakao (X5). Tujuan melakukan penelitian ini untuk memberikan informasi adakah atau tidak adakah pengaruh faktor meteorologi dengan produksi tanaman perkebunan dan juga mengetahui faktor meteorologi dengan pengaruh terbesar atau terbaik terhadap produksi tanaman perkebunan. Dari hasil analisis korelasi kanonik diperoleh hasil bahwa hubungan faktor meteorologi dan produksi tanaman perkebunan, variabel indikator pada variabel faktor meteorologi yang paling dominan adalah tekanan udara dengan pengaruhnya terhadap produksi tanaman perkebunan sebesar 96.2%. Sedangkan variabel produksi tanaman perkebunan yang dominan adalah variabel kelapa sawit dengan nilai korelasi yang paling tinggi yaitu sebesar 1.129.
Preferensi Generasi Z Surabaya dalam Keputusan Pemilihan Umum 2024 Berdasarkan Structural Equation Modeling-Partial Least Squares Putri, Larisa Mutiara; Maulidya, Utsna Rosalin; Purba, Gaby Valenia Rosa; Sulaiman, Faizah Jauhar; Mardianto, M. Fariz Fadillah
Zeta - Math Journal Vol 9 No 2 (2024): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.2.60-72

Abstract

Hasil pemilu menentukan pemimpin yang kebijakannya berpengaruh besar pada Indonesia. Generasi Z akan memegang peran penting dalam pemilu karena diprediksi akan menggantikan dominasi politik Generasi Milenial. Berdasarkan Komisi Pemilihan Umum 2023, jumlah suara Generasi Z mencapai 22,85 persen dari total penduduk Indonesia, dengan Jawa Timur sebagai provinsi dengan populasi Generasi Z terbesar kedua. Julukan kota metropolitan tidak bisa terlepas dari ibukota Jawa Timur, walaupun peringkatnya masih di urutan kedua, kota Surabaya memiliki Generasi Z mencakup 28,8 persen dari total pemilih pada Pemilu 2024. Sehingga, penting untuk menganalisis preferensi unik Generasi Z dalam pemberian suara pada Pemilu 2024 di Surabaya. Metode Structural Equation Modeling-Partial Least Squares (SEM-PLS) dipilih karena kemampuannya menguji hubungan kompleks antara berbagai variabel laten dan indikatornya secara simultan. Hasil riset menunjukkan beberapa hasil variabel yang saling berpengaruh yaitu antara faktor internal dan voting choices, faktor eksternal terhadap faktor internal, serta faktor eksternal terhadap preferensi Generasi Z. Temuan ini mengindikasikan bahwa faktor internal seperti pendapatan dan pendidikan, serta faktor eksternal seperti pengaruh teman sebaya dan tokoh terkenal, berperan penting dalam memengaruhi keputusan pemilih Generasi Z di Pemilu 2024 Surabaya. Maka dari itu, pemerintah dapat merumuskan strategi kampanye yang lebih efektif dan inklusif, dengan mempertimbangkan preferensi dan karakteristik khusus dari Generasi Z.
SEGMENTATION OF FRESH GRADUATES' JOB INTEREST AND MOTIVATION BASED ON FINITE MIXTURE PARTIAL LEAST SQUARES (FIMIX-PLS) Hermawan, Mohamad David; Kurniawan, Ardi; Mardianto, M. Fariz Fadillah; Sediono, Sediono
VARIANCE: Journal of Statistics and Its Applications Vol 6 No 2 (2024): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol6iss2page229-238

Abstract

Rapid technological advancements have significantly transformed the global labor market, impacting various industries and workers in Indonesia who may need to be adequately prepared to adapt. The current landscape demands individuals who can acquire knowledge quickly and adapt to modern technologies. The unemployment rate in Indonesia, especially among fresh graduates, is still a concern. Lack of motivation and interest in finding a job and high expectations of working conditions contribute to this problem. This research aims to address the gap in research by using the Finite Mixture Partial Least Squares (FIMIX-PLS) approach to examine the segmentation of fresh graduate characteristics about their interest and motivation in finding a job. Segmentation based on latent variable relationships in the structural model can be overcome with Finite Mixture Partial Least Square (FIMIX-PLS) to identify more homogeneous characteristics. This research analyzes explicitly the impact of compensation, work environment, and company reputation on the interest and motivation of fresh graduates in finding a job. This research resulted in the best segmentation of two segments: the 1st segment at 77.8% (265 samples) and the 2nd segment at 22.2% (75 samples).
Prediksi Cadangan Klaim Asuransi Pendidikan dengan Pendekatan Regresi Nonparametrik Deret Fourier Mardianto, M. Fariz Fadillah
Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya 2018: Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1576.898 KB)

Abstract

Pendidikan adalah salah satu kebutuhan rohani manusia yang penting. Akhir-akhir ini, untuk menjamin kelancaran dana pendidikan, diterapkan sistem asuransi pembiayaan pendidikan anak. Secara Statistik, tren jumlah peserta asuransi pendidikan meningkat tiap tahunnya. Asuransi pendidikan memiliki karakteristik yang berbeda dengan asuransi yang lain. Karakteristik asuransi pendidikan adalah jumlah klaim pengguna dilakukan secara periodik, yaitu tiap pergantian semester dan tahun ajaran baru. Jumlah klaim terkait dengan cadangan klaim asuransi. Prediksi cadangan klaim penting dilakukan untuk perencanaan kebijakan perusahaan asuransi agar tidak mencapai defisit. Dalam penelitian ini, metode yang digunakan dalam prediksi berdasarkan pendekatan regresi nonparametrik deret Fourier. Pendekatan ini sesuai karena secara matematis deret Fourier merupakan suatu fungsi periodik yang jika ditambahkan dengan fungsi linear, maka dapat mengakomodasi komponen tren dan musiman. Hasil dari penelitian ini adalah suatu model prediksi jumlah klaim asuransi pendidikan dengan kriteria kebaikan optimal yang didasarkan pada kesederhanaan model.
Analysis of Text Mining Clustering on Suara Surabaya Crime Report with DBSCAN Neural Network Autoencoder Algorithm Koesnadi, Grace Lucyana; Anggriawan, Muhammad Rizal; Zuleika, Talitha; Putra, Mochamad Rasyid Aditya; Aldawiyah, Najwa Khoir; Mardianto, M Fariz Fadillah
Inferensi Vol 7, No 3 (2024)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v7i3.20765

Abstract

Criminality, or crime, is a behavior that violates the law or is contrary to applicable values and norms. A high number of criminal behaviors criminal behaviors in a community significantly impacts its social conditions, leading to a decrease in welfare, unrest, and material losses that pose a threat to an individual's life. This study examines text mining on crime report data from Suara Surabaya using the DBSCAN clustering method and the Neural Network Autoencoder. The neural network autoencoder algorithm effectively reduces the data dimension, with an input dimension of 300 and an encode dimension of 64. Clustering analysis using the DBSCAN method based on the silhouette coefficient value criterion resulted in three clusters, with cluster 1 dominating the report. The clustering results show essential patterns in complaint reports, and LDA analysis reveals critical topics in the report. Cluster 0 shows a diversity of reports focusing on motor loss, interaction with homes or properties, and people's entry into homes. Cluster 1 is more focused on the loss of vehicles, both cars and motorcycles, with specific details such as vehicle color, number, brand, and related transactions or social interactions. Meanwhile, cluster 2 focuses on reports related to interactions with police stations and information on the location of incidents. This text mining approach to community crime report data not only improves analysis accuracy and efficiency, but also provides essential information that can support efforts to handle and prevent crime.
Peningkatan Kualitas UMKM Wonorejo Madiun Sebagai Dasar Pengembangan Wisata Budaya Mardianto, M. Fariz Fadillah; Amelia, Dita; Pusporani, Elly; Rani, Lina Nugraha; Siregar, Naufal Ramadhan Al Akhwal; Nurrohmah, Zidni ‘Ilmatun; Previan, Anggara Teguh; Putri, Ferdiana Friska Rahmana
Jurnal Ilmiah Pangabdhi Vol 10, No 2: Oktober 2024
Publisher : LPPM Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pangabdhi.v10i2.24394

Abstract

Wonorejo Village is one of the villages in Madiun Regency which has natural and cultural potential that can be integrated into local economic development through MSMEs and the tourism sector. MSME empowerment activities provide opportunities for local communities to create jobs and achieve Sustainable Development Goals (SDGs) in maintaining economic stability. By focusing on improving the quality of MSMEs and through appropriate mentoring activities, this village can achieve inclusive and sustainable economic development. This activity aims to provide counseling and assistance regarding digitalization of MSME marketing integrated with the potential of Wonorejo Village as a tourist village for Wonorejo Temple tourism. The method of community service consists of several stages. First, provide assistance regarding product design and marketing aspects. Second, regarding training in digitalizing MSMEs from creating social media for MSME products. Third, in the form of training in obtaining permits, business legality and halal certification. Fourth, in the form of mentoring and evaluation activities during the mentoring and training process. The results of this community service, namely counseling and assistance to MSMEs in Wonorejo Village, have a positive effect on increasing the products of MSMEs in Wonorejo Village. Recommendations and sustainability that can be given are increasing the role of the Wonorejo Village community in developing tourism because of the resources and quality of the village's MSMEs so that they are able to encourage success as a tourist village from the community service activities that have been carried out.
Hubungan Kondisi Udara Terhadap Produktivitas dan Produksi Kacang Tanah Indonesia Berdasarkan Korelasi Kanonik Ramadhan, Achmad Wahyu; Ghasani, Anisah Nabilah; Siagian, Kimberly Maserati; Pambudi, Daffa Satrio; Mardianto, M. Fariz Fadillah; Amelia, Dita; Ana, Elly
Journal of Mathematics Education and Science Vol. 7 No. 2 (2024): Journal of Mathematics Education and Science
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/james.v7i2.2650

Abstract

Sektor pertanian di Indonesia, yang didominasi oleh tanaman kacang tanah sebagai sumber pangan kaya protein dan lemat, menghadapo tantangan produktivitas akibat ketidaksesuaian lahan dan juga kondisi udara, seperti suhu dan kelembaban yang tidak optimal. Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara suhu dan kelembaban udara dengan produktivitas dan produksi kacang tanah di 34 provinsi di Indonesia untuk memahami dampaknya terhadap hasil pertanian dan ketahanan pangan di Indonesia. Pada penelitian ini, metode penelitian yang digunakan adalah analisis korelasi kanonik. Penelitian ini menggunakan data sekunder, yang merujuk pada informasi yang diperoleh dari sumber data Badan Pusat Statistik (BPS) melalui e-book statistika lingkungan hidup di Indonesia tahun 2022. Berdasarkan analisis korelasi kanonik disimpulkan bahwa hubungan antara suhu udara terhadap produktivitas kacang tanah mengakomodasi 99,26487% hubungan kanonikal, lalu 0,73513% diakomodasi dalam hubungan antara kelembaban udara terhadap produksi kacang tanah. Kesimpulan dari penafsiran koefisien variabel kanonikal, termasuk bobot, muatan, dan muatan-silang, menunjukkan bahwa terdapat interaksi antara suhu dan kelembaban udara dengan produktivitas dan produksi kacang tanah di Indonesia.
Prediction Analysis of Jakarta Composite Index Movement Using Support Vector Regression Method Marcelena Vicky Galena; Sediono Sediono; M. Fariz Fadillah Mardianto; Elly Pusporani
G-Tech: Jurnal Teknologi Terapan Vol 9 No 1 (2025): G-Tech, Vol. 9 No. 1 January 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i1.5879

Abstract

The JCI is an important indicator that reflects the performance of the Indonesian stock market. In recent times, the JCI has faced significant fluctuations due to complex factors, including global economic conditions and market sentiment, which make predicting its movements challenging. Good prediction is needed to support market stability and sustainable economic development as per SDGs point 8. This study applies a modern nonparametric regression method, namely Support Vector Regression (SVR), to predict a dataset in the form of weekly JCI data from the period April 2022 to October 2024 obtained from the investing.com website. The analysis shows that the SVR model with RBF kernel function provides the best performance, with MAPE of 1.43%, RMSE of 121.6196, and MAE of 104.65. The findings also reveal that the fluctuation pattern of the JCI cannot be fully explained based solely on historical data. External variables, such as global economic conditions and market sentiment, have a significant influence on the prediction results. Therefore, the SVR method can be utilized to optimize portfolio allocation based on weekly JCI predictions. In addition, the results of this study provide guidance for policymakers in designing proactive economic policies to mitigate market volatility and increase investor confidence.
Co-Authors Abdilah, Nurullah Asep Abdillah, Adrian Wahyu Adma Novita Sari Adnan Syawal Adilaha Sadikin Adriansyah, Muhammad Haykal Afifa, Fitriana Nur Aflaha, Nabila Shafa Agnes Happy Julianto Agustiansyah, Lucky Dita Ahmad Saddam Hussein Ain, Dzuria Hilma Qurotu Aini Divayanti Arrofah Aldawiyah, Najwa Khoir Aldawiyah, Najwa Khoir Alfredi Yoani Aliffia, Netha Almira Sophie Syamsudin Alya Rahma Inneztiana Amalia, Nadinta Kasih Amalia, Rica Ana, Elly Andi Vania Ghalliyah Putrie Andri Tri Cahyono Andriani, Putu Eka Anggriawan, Muhammad Rizal Anggriawan, Muhammad Rizal Annisa Putri Nayumi Antonio Nikolas Manuel Bonar Simamora Antonio Nikolas Manuel Bonar Simamora Anwari, Anwari Apidianti, Sari Pratiwi Aprilia Prastyaningrum Ardi Kurniawan Ardi Kurniawan Ariyawan, Jovansha Arum Eka Ismiranda Putri Astuti, Aprillia Audilla, Marfa Aulia Ramadhanti Aulia, Niswa Faizah Ayu Safitri Ayuning Dwis Cahyasari Ayuning Dwis Cahyasari Azzah Nazhifa Wina Ramadhani Bimo Okta Syahputra Bintang Alyaa Sabila Br Pangaribuan, Fani Agustina Budijono, Gabriella Agnes Chaerobby Fakhri Fauzaan Purwoko Chairunnisa, Nurul Rizky Christopher Andreas Citra Imama Cynthia Anggelyn Siburian Darmawan, Kezia Eunike Davina Shafa Vanisa Deshinta Arrova Dewi Devayanti Anugerahing Husada Dewanty, Sanda Insania Dewi, Berlianti Alisa Dewi, Deshinta Arrova Disty Ridha Hastuti Dita Amelia Dita Amelia Dita Amelia, Dita Doni Muhammad Fauzi Dwiyanto, Adelia Sukma Dyah Rohma Wati Efan Yudha Winata Eko Fajar Cahyono, David Kaluge Elly Ana Elly Ana Elly Ana Elly Ana Elly Anna Elly Pusporani Elok Zubaidah Eris Tri Kurniawati Erlina Anggraini Erlina Anggraini, Erlina Faisol Faisol Faisol, Faisol Faizun, Nurin Fajar Hidayanto, Fajar Faradilla Harianto Farah Fauziah Putri Farizi, Muhammad Fikry Al Fauzan, Muhammad Hafid Fauzi, Doni Muhammad Febriyani, Eka Riche Fernanda Desmak Pertiwi Firda Aulia Pratiwi Firman Rezaldi Fitri, Marfa Audilla Fitria Eka Resti Wijayanti Fitrianingsih, Eka Rani Fitriyani, Mubadi’ul Fortunata, Regina Ghasani, Anisah Nabilah Girsang, Anne Vinella Grace Lucyana Koesnadi Haq, Affan Fayzul Hari Hariadi, Hari Hasanah, Sarmiatul Helda Urbhani Rosa Hermawan, Mohamad David Humaira, Edla Putri I Kadek Pasek Kusuma Adi Putra I Nyoman Budiantara Immanuel Alexander Sirait Indrasta, Irma Ayu Inneztiana, Alya Rahma Ira Yudistira Isna Nurul Izza Amalia Junaedi, Candra Karina Rubita Makhbubah Karina Tri Handayani Koesnadi, Grace Lucyana Koesnadi, Grace Lucyana Kresna Oktafianto Kurnia, Rizky Dwi Kusuma, Shalwa Oktavia Kusumasari Kartika Hima Darmayanti Kuzairi Leni Halimatusyadiah Lu'lu'a, Na'imatul Lu’lu’a, Na’imatul M. Nabil Saputra Mahadesyawardani, Arinda Makhbubah, Karina Rubita Mamdudah, Siti Marbun, Barnabas Anthony Philbert Marcel Laverda Subiyanto Marcel Laverda Subiyanto Marcelena Vicky Galena Maria Setya Dewanti Maritha, Vevi Marthabakti, CitraWani Maulidya, Utsna Rosalin Meliyawati Meliyawati Mochammad Baihaqi Mochammad Imron Awalludin Muhammad Andry Muhammad Faizal Fathurrohim Muhammad Faizhal Fathurrohim Muhammad Fikry Al Farizi Muhammad Luthfi Muhammad Rizaldy Baihaqi Muhammad Rosyid Ridho Az Zuhro Muhammad Walid Jumlat Mu’jijah Mu’jijah Na'imatul Lu'lu'a Nabila Angel Nafisha Nadia Dwi Marwanda Naufal Ramadhan Al Akhwal Siregar Nauvaldy, Muhammad Netha Aliffia Nitasari, Alfi Nur Noer Azizah Nur Chamidah Nurdin, Nabila Nurfitriyah, Luluk Nurmaulawati, Rina Nurrohmah, Zidni ‘Ilmatun Nurul M’rifatil Laila Nurvadilah, Eva Pambudi, Daffa Satrio Pamungkas, Barolym Tri Panjaitan5, Leni Sartika Permana, Made Riyo Ary Pratama, Bagas Shata Pratama, Fachriza Yosa Pratiwi, Firda Aulia Prayitno Prayitno Pressylia Aluisina Putri Widyangga Previan, Anggara Teguh Purba, Gaby Valenia Rosa Putra, Mochamad Rasyid Aditya Putra, Mochamad Rasyid Aditya Putri Fardha Asa Oktavia Hans Putri Masyita Qomaryah Putri, Asyifa Charmadya Putri, Farah Fauziah Putri, Ferdiana Friska Rahmana Putri, Larisa Mutiara Putrie, Andi Vania Ghalliyah Putu Eka Andriani Rachma Hikmaya Rahmada, Indrastanto Oktodian Rahmi Fadhillah, Fitri Raka Andriawan Ramadhan, Achmad Wahyu Ramadhani, Maulana Syah Putra Ramadhanty, Devira Thania Rani, Lina Nugraha Rasyid, Mochamad Recylia, Rien Reswara, Aqil Azmi Reynaldy Aries Ariyanto Reza Febrian Nugroho Rezaldi, Firman Rica Amalia Rohman, Naylur Romadhoni, M. Suma Firman Romadhoni, Moh Suma Firman Rosyida Widadina Ulya Rosyida Widadina Ulya Sadikin, Adnan Syawal Adilaha Safitri , Endang Safitri, Endang Sahidah, Sahidah Sakinah Priandi Salsabila, Fatiha Nadia Sanda Insania Dewanty Sari, Adma Novita Sa’idah Zahrotul Jannah Sa’idah, Andini Sediono, Sediono Setyaji, Diyan Yunanto Shafira Renianti, Fayza Sholiha, Anisatus Siagian, Kimberly Maserati Sifriyani, Sifriyani Sihite, Rivaldi Sihombing, Abednego Simamora, Antonio Nikolas Manuel Bonar Siregar, Naufal Ramadhan Al Akhwal Siti Maghfirotul Ulyah Siti Maghfrotul Ulyah Siti Romlah Sofia Andika Nur Fajrina Steven Soewignjo Sukardi Sugeng Rahmad Sulaiman, Faizah Jauhar Suliyanto Suliyanto Suliyanto Suliyanto Suryono, Alda Fuadiyah Swastika Oktavia Syahfitri, Nabila Syahzaqi, Idruz Tagawa, Dustin Nathanael Tanjung, Siti Aisiyah Tika Widiastuti Toha Saifudin Tony Yulianto Ucu Wandi Somantri Ukhrowi, Putri Usman Setiawan Vanisa, Davina Shafa Wibawa, Yoga Setya Widyangga, Pressylia Aluisina Putri Wijayanti Wijayanti Wulandari, Indana Zulfa Yenny, Ratna Fitry Yudistira, Ira Yuliana Kolo Yusuf, Bima Sakti Putra Yuwinani, Iin Zah, Alfian Iqbal Zahrani, Vista Vanadya Zalfaa Nur Amalia Zhafirab, Azizah Atsariyyah Zuleika, Talitha Zuleika, Talitha