Article Per Year (5 Year)
p-Index From 2021 - 2026
13.142
P-Index
This Author published in this journals
All Journal J@TI (TEKNIK INDUSTRI) Media Statistika JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI CAUCHY: Jurnal Matematika Murni dan Aplikasi 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 JOURNAL OF APPLIED INFORMATICS AND COMPUTING 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 Indonesian Community Journal 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 PCJN Pharmaceutical and Clinical Journal of Nusantara Eksponensial Jurnal Kebijakan Ekonomi dan Keuangan Jurnal Pendidikan Matematika 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
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

Published : 114 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 9 Documents
Search
Journal : inferensi

 1 
Prediksi Harga Ekspor Non Migas di Indonesia Berdasarkan Metode Estimator Deret Fourier dan Support Vector Regression Chaerobby Fakhri Fauzaan Purwoko; Sediono Sediono; Toha Saifudin; M Fariz Fadillah Mardianto
Inferensi Vol 6, No 1 (2023)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v6i1.15558

Abstract

Economic growth is one of the indicators in the Sustainable Development Goals (SDGs) on increasing economic activity.  One of the activities that supports the running of the economy is trade between countries, such as exports.  In Indonesia, non-oil and gas exports have played an important role in total exports in recent years, including coal exports being the main export.  Therefore, price predictions for Indonesia's non-oil and gas exports are very important as material for evaluating policies to encourage economic growth.  This is the main focus of this research.  In this study, non-oil and gas export price forecasts are made taking into account current issues such as the COVID-19 pandemic and the Russia-Ukraine war.  The accuracy of the model obtained from the Fourier series estimator and Support Vector Regression (SVR) is investigated by comparing the Mean Absolute Percentage Error (MAPE) value to predict Indonesia's non-oil and gas export prices.  The results of the study show that the COVID-19 pandemic and the Russia-Ukraine war have had a significant impact on non-oil and gas export prices. The SVR model with the Radial Basis Function (RBF) kernel shows better accuracy than the Fourier series estimator model of the cos sin function, with MAPE values of 9.29 and 15.26% for each test data, respectively.  Therefore, this study is expected to be the basis for formulating policies related to regulating non-oil and gas export processes to support economic growth in Indonesia.
Analisis Pengaruh Sanitasi Total Berbasis Masyarakat (STBM) terhadap Kondisi Kurang Gizi dan Stunting di Kota Surabaya Adma Novita Sari; Agnes Happy Julianto; Davina Shafa Vanisa; Muhammad Rosyid Ridho Az Zuhro; Dita Amelia; M.Fariz Fadillah Mardianto; Elly Ana
Inferensi Vol 6, No 2 (2023)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v6i2.15434

Abstract

Kasus stunting dan kurang gizi di kota Surabaya masih menjadi permasalahan pelik. Pasalnya, meski sudah mengalami penurunan drastis hingga 50%, tetapi prevalensi kasus positifnya masih melebihi ambang batas maksimal yang ditetapkan oleh BKKBN. Dilansir dari BPS dan BKKBN Provinsi Jawa Timur pada tahun 2021, kasus stunting di Kota Surabaya mencapai lebih dari 1.000 kasus atau setara 28,9% dan kasus kurang gizi mencapai lebih dari 160 kasus yang tersebar di seluruh wilayah kota Surabaya. Salah satu penyebab tingginya kasus ini adalah standar sanitasi masyarakat atau Sanitasi Total Berbasis Masyarakat (STBM) masih belum memenuhi indikator baik atau bersih. Oleh karena itu, dengan menggunakan analisis Multivariate Analysis of Variance (MANOVA) akan dibuktikan sekaligus menjawab hasil penelitian terdahulu terkait pengaruh standar sanitasi terhadap kedua kasus tersebut. Dengan menggunakan metode studi literatur dan mengambil data sekunder dengan pendekatan statistik kuantitatif dimana prevalensi stunting dan kurang gizi sebagai variabel dependen dan standar sanitasi sebagai variabel independen terbukti bahwa standar sanitasi memang berpengaruh terhadap kondisi kurang gizi dan stunting di kota Surabaya. Hasil ini sangat bermanfaat untuk menindaklanjuti kasus agar pemerintah, dinas terkait, serta masyarakat umum mampu bersinergi untuk menuju ”zero stunting and malnutrition” di kota Surabaya. 
Pengelompokan Daerah di Jawa Timur Berbasis Indikator Kesejahteraan Masyarakat dengan Pendekatan Analisis Cluster Hierarki dan Nonhierarki Muhammad Fikry Al Farizi; Faradilla Harianto; Maria Setya Dewanti; Cynthia Anggelyn Siburian; M. Fariz Fadillah Mardianto; Dita Amelia; Elly Ana
Inferensi Vol 6, No 2 (2023)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v6i2.15452

Abstract

Based on Central Statistics Agency (BPS) data in September 2021, East Java is a province with the largest number of poor people in Indonesia with a total of 26,503 million people. Poverty is one of the factors that affect people's welfare in East Java. Therefore, this research was conducted to classify regencies and cities in East Java based on indicators of community welfare through a hierarchical cluster analysis approach using the single linkage, complete linkage, average linkage, and ward methods, determine the optimum cluster for each method using Pseudo – F, then compare the four methods and determine the best method using the rated value, as well as identify the characteristics of each cluster group based on the best method. There are six variables that will be used in this study. All variable data is secondary data obtained from the official website of the Central Statistics Agency (BPS) of East Java Province. This study produced four clusters using the average linkage method as the best method. This research is expected to be useful as a consideration for evaluating the government and related agencies to overcome the main problems that still occur in each regency and city. Thus, the welfare of the people of East Java can be realized and the SDGs targets in Indonesia can be achieved.
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.
Modeling Youth Development Index in Indonesia Using Panel Data Regression for Binary Response with Random Effect Widyangga, Pressylia Aluisina Putri; Suliyanto, Suliyanto; Mardianto, M. Fariz Fadillah; Sediono, Sediono
Inferensi Vol 8, No 2 (2025)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v8i2.21734

Abstract

Indonesia has the largest youth population in Southeast Asia, yet its Youth Development Index (YDI) ranks only fifth in the region. This study aims to fill the gap in empirical research by modeling the YDI in Indonesia using binary logit and binary probit regressions with random effects, based on panel data from 34 provinces during 2020–2022. The YDI categories are defined according to the national target of 57.67 set by the Ministry of Youth and Sports Affairs. The analysis reveals that the binary probit model performs better than the binary logit model, with a classification accuracy of 93.14% and a McFadden R-squared of 0.4064. Gender Inequality Index (GII) and Expected Years of Schooling (EYS) significantly affect the likelihood of achieving the YDI target. These results highlight the critical role of gender equality and education in advancing youth development in Indonesia. The binary probit model provides a practical tool for policymakers to predict and evaluate the effectiveness of development programs targeting youth outcomes. This research not only contributes methodologically to the study of youth development using advanced econometric models but also offers policy-relevant insights that support the strategic goals of Indonesia Emas 2045. By identifying key leverage points such as gender equity and education access, the findings reinforce the importance of inclusive and evidence-based planning to nurture a generation of resilient, empowered, and high-performing youth who can lead Indonesia toward a prosperous future.
Prediction of Nike’s Stock Price Based on the Best Time Series Modeling Sari, Adma Novita; Zuleika, Talitha; Mardianto, M. Fariz Fadillah; Pusporani, Elly
Inferensi Vol 8, No 2 (2025)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v8i2.21737

Abstract

Nike is one of the world's largest shoe, clothing, and sports equipment companies. The more modern the development of the era, the more diverse the fashion. Of course, investors can consider this when deciding whether to invest in Nike's brand shares. Stock prices constantly fluctuate up and down, so investors need to implement strategies to minimize losses in investing to achieve economic growth. This supports the Sustainable Development Goals (SDGs) in point 8 regarding the importance of sustainable economic growth and investment in infrastructure development to improve economic welfare. Investors can minimize losses by predicting or forecasting stock prices. Stock prices can be analyzed using specific methods. The update that will be brought in this study is the Nike brand stock price prediction for the 2020-2024 period using the best model from the time series method comparison conducted using classical nonparametric, which consists of the kernel estimator method and the Fourier series estimator method and modern nonparametric using the Support Vector Regression (SVR) method. Based on the analysis method, the best method is selected through the minimum MAPE value. A comparison of the results of Nike brand stock price predictions using several methods shows that the MAPE value of the Nike brand stock price data analysis is the minimum obtained using the kernel estimator approach, which is 1.564%. Thus, the kernel estimator approach predicts the Nike brand stock price much better. Predictions using the best methods can be recommendations and evaluations for economic actors to prepare better economic planning.
Prediction of Rupiah Exchange Rate Against US Dollar Using Kernel-Based Time Series Approach Sifa, Ghisella Asy; Galena, Marcelena Vicky; Mardianto, M. Fariz Fadillah; Pusporani, Elly
Inferensi Vol 7, No 1 (2024)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v7i1.20168

Abstract

Fluctuations in the rupiah exchange rate against the United States Dollar from 2020 to early 2024 have been analyzed using classical and modern time series approaches. In this study, the classical time series approach based on Gaussian Kernel successfully provides predictions with an RMSE value of 57.5722 and a MAPE of 0.29%. Meanwhile, the modern approach with RBF Kernel SVR shows an RMSE value of 74.9201 and a MAPE of 0.41%. The results of the model performance comparison show the superiority of the classical approach with the Gaussian Kernel in predicting the rupiah exchange rate against the US Dollar as an impact of the Federal Funds Rate (FFR) policy. Therefore, it is recommended to use the classical time series method based on the Gaussian Kernel in dealing with the impact of the FFR policy to improve the accuracy of predicting the Rupiah exchange rate against the United States Dollar. This research supports the achievement of the 8th Sustainable Development Goals (SDGs) related to economic and social matters while providing a better understanding of currency exchange rate fluctuations and providing recommendations that can help in managing economic risks related to global monetary policy.
Factors Affecting Interest in Revisiting Kare Tourism Village Based on Structural Equation Modeling M Fariz Fadillah Mardianto; Elly Pusporani; Suliyanto Suliyanto; Sri Endah Nurhidayati; Na’imatul Lu’lu’a; Marcelena Vicky Galena
Inferensi Vol 9 No 1 (2026)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v9i1.9951

Abstract

This research focuses on analyzing the factors that affect tourists' intentions to revisit Kare Tourism Village. Utilizing quantitative methods, primary data were gathered through questionnaires from 105 tourists who had previously visited the village. The SEM-PLS method was employed for analysis. In this study, several latent variables were identified, including facilities and services in Kare Tourism Village as exogenous latent variables, tourist satisfaction as both an endogenous latent variable and an intermediate variable, and tourist interest as the dependent variable. The findings reveal an value of 0.876 for tourist satisfaction, indicating that 87.6% of the variation in satisfaction can be explained by the model, which is considered strong. In contrast, the R² value for tourist interest is 0.548, suggesting that 54.8% of the variation in interest is explained by the model, classified as moderate. Additionally, the GoF value of 0.673 demonstrates a high model fit. Furthermore, the service variables in Kare Tourism Village significantly impact tourist satisfaction.
Prediction of USD Exchange Rate Against CNY and RUB Using Support Vector Regression and Neural Network M Fariz Fadillah Mardianto; Larisa Mutiara Putri; Evi Wijayawati; Sugha Faiz Al Maula Al Maula
Inferensi Vol 9 No 1 (2026)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v9i1.9952

Abstract

Major currency exchange rates have been impacted by the escalation of global trade volatility brought on by the trade war between the United States and China and economic sanctions imposed on Russia. USD dominance in global trade exposes developing countries to economic risks. BRICS seeks to reduce reliance by boosting local currency trade and diversifying reserves. This study analyzes BRICS exchange rate movements, specifically USD-RUB and USD-CNY, using Support Vector Regression (SVR) and Neural Network (NN). Statistical analysis of 2009-2025 data shows USD-RUB's high volatility due to oil prices and sanctions, while USD-CNY remains more stable but is influenced by monetary policy and global conditions. The results show that the SVR method is superior to NN in prediction accuracy. For USD-RUB, SVR with a sigmoid kernel achieves MSE 6.1596, MAE 1.8808, and MAPE 1.95%, while for USD-CNY, SVR with a Radial Basis Function kernel achieves MSE 0.0014, MAE 0.0322, and MAPE 0.45% Thus, the use of SVR-based prediction models is recommended to analyze the exchange rate to reduce the risk of volatility. Additionally, diversifying reserves, enhancing bilateral trade in local currencies, and considering external factors like commodity prices and global policies can improve exchange rate stability and economic resilience.
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 Ainaya Zakiyah Nabila Aini Divayanti Arrofah Aldawiyah, Najwa Khoir Aldawiyah, Najwa Khoir Alexandra, Victoria Anggia Alfi Nur Nitasari Alfredi Yoani Aliffia, Netha Almira Sophie Syamsudin Alya Rahma Inneztiana Amalia, Nadinta Kasih Amalia, Rica Ana, Elly Andi Vania Ghalliyah Putrie Andreas, Christopher Andri Tri Cahyono Andriani, Putu Eka Anggara Teguh Previan Anggriawan, Muhammad Rizal Anggriawan, Muhammad Rizal Annisa Putri Nayumi 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 Candra Junaedi Chaerobby Fakhri Fauzaan Purwoko Chairunnisa, Nurul Rizky 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 Eka Rani Fitrianingsih Eko Fajar Cahyono, David Kaluge Elly Anna Elly Pusporani Elok Zubaidah Eris Tri Kurniawati Erlina Anggraini Erlina Anggraini, Erlina Evi Wijayawati Faisol Faisol Faisol, Faisol Faizun, Nurin Fajar Hidayanto, Fajar Fajrina, Sofia Andika Nur Faradilla Harianto Farah Fauziah Putri Farizi, Muhammad Fikry Al Fatiha Nadia Salsabila Fatihah, Amelia Fauzi, Doni Muhammad Febriyani, Eka Riche Fernanda Desmak Pertiwi Firda Aulia Pratiwi Fitri, Marfa Audilla Fitria Eka Resti Wijayanti Fitriyani, Mubadi’ul Fortunata, Regina Galena, Marcelena Vicky Ghasani, Anisah Nabilah Girsang, Anne Vinella Grace Lucyana Koesnadi Hanny Valida Haq, Affan Fayzul Hari Hariadi, Hari Hasanah, Sarmiatul Helda Urbhani Rosa Helfira Lady Ari Pramesti Hermawan, Mohamad David Humaira, Edla Putri I Kadek Pasek Kusuma Adi Putra I Nyoman Budiantara Idrus Syahzaqi Ika Purnamasari Imam Yuadi Immanuel Alexander Sirait Inneztiana, Alya Rahma Ira Yudistira Irma Ayu Indrasta Ismi, Ferissa Maulida Isna Nurul Izza Amalia 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 Larisa Mutiara Putri Leni Halimatusyadiah Lu'lu'a, Na'imatul Lu’lu’a, Na’imatul M. Nabil Saputra Ma'ruf, Aris Mahadesyawardani, Arinda Makhbubah, Karina Rubita Mamdudah, Siti Marbun, Barnabas Anthony Philbert Marcel Laverda Subiyanto Marcel Laverda Subiyanto Marcelena Vicky Galena Marcelena Vicky Galena Maria Setya Dewanti Maritha, Vevi Marthabakti, CitraWani Maulidya, Utsna Rosalin Meliyawati Meliyawati Mochamad Rasyid Mochammad Baihaqi Mochammad Imron Awalludin Muhammad Andry Muhammad Daffa Bintang Setyawan Muhammad Faizal Fathurrohim Muhammad Faizhal Fathurrohim Muhammad Fikry Al Farizi Muhammad Hafid Fauzan 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 Nariswari, Anggita Naufal Ainul Hayat Naufal Ramadhan Al Akhwal Siregar Nauvaldy, Muhammad Na’imatul Lu’lu’a Netha Aliffia Nitasari, Alfi Nur Noer Azizah Nur Chamidah Nurdin, Nabila Nurfitriyah, Luluk Nurmaulawati, Rina Nurrohmah, Zidni ‘Ilmatun Nurul M’rifatil Laila Nurvadilah, Eva Palupi, Inggrid Nindia Aprila Pambudi, Daffa Satrio Pamungkas, Barolym Tri Panjaitan5, Leni Sartika Permana, Made Riyo Ary Pertiwi, Fernanda Desmak Pratama, Bagas Shata Pratama, Fachriza Yosa Pratiwi, Firda Aulia Prayitno Prayitno Pressylia Aluisina Putri Widyangga Previan, Anggara Teguh Purba, Gaby Valenia Rosa Pusporani, Elly 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 Recylia, Rien Reswara, Aqil Azmi Reynaldy Aries Ariyanto Reza Febrian Nugroho 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 Sari, Adma Novita Sasy Okti Karima Sa’idah Zahrotul Jannah Sa’idah Zahrotul Jannah Sa’idah, Andini Sediono, Sediono Selvina Cindy Kusumaningrum Setyaji, Diyan Yunanto Shafira Renianti, Fayza Sholiha, Anisatus Siagian, Kimberly Maserati Sifa, Ghisella Asy Sifriyani, Sifriyani Sihite, Rivaldi Sihombing, Abednego Siregar, Naufal Ramadhan Al Akhwal Siswahyudianto Siti Maghfirotul Ulyah Siti Maghfrotul Ulyah Siti Romlah Sofia Andika Nur Fajrina Sri Endah Nurhidayati Sri Wahyuningsih Steven Soewignjo Sugha Faiz Al Maula Al Maula 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 Widyangga, Pressylia Aluisina Putri Wijayanti Wijayanti Wulandari, Indana Zulfa Yenny, Ratna Fitry Yudistira, Ira Yuliana Kolo Yuniar, Muhammad Alvito Dzaky Putra Yusuf, Bima Sakti Putra Yuwinani, Iin Zah, Alfian Iqbal Zahrani, Vista Vanadya Zalfaa Nur Amalia Zhafirab, Azizah Atsariyyah Zuleika, Talitha Zuleika, Talitha Zuleika, Talitha