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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 Indonesian Journal of Applied Statistics 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 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 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
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Application of Support Vector Regression in Time Series Analysis of Dior Stock Prices Sari, Adma Novita; Zuleika, Talitha; Mardianto, M. Fariz Fadillah; Pusporani, Elly
Zeta - Math Journal Vol 10 No 1 (2025): May
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2025.10.1.51-60

Abstract

Christian Dior (Dior) is a multinational company focusing on luxury goods, including fashion products, cosmetics, and accessories. In 2020–2024, Dior's share price will experience significant fluctuations influenced by financial performance, global market trends, etc. These fluctuations require investors to implement appropriate strategies to minimize the risk of losses and support sustainable economic growth. This step aligns with goal 8 of the Sustainable Development Goals (SDGs), emphasizing the importance of sustainable economic growth through investment and infrastructure development for economic prosperity. One of the effective methods for modeling and predicting stock prices is Support Vector Regression (SVR). By applying SVR using the Radial Basis Function (RBF) kernel, this study shows that the model can generate predictions with a MAPE value of 2.5864% on the test data. The SVR method is expected to provide accurate predictions, making it a helpful tool for investors and market analysts to make better investment decisions.
Pemodelan Indeks Kualitas Lingkungan Hidup di Indonesia dengan Spline Truncated dan MARS Fitri, Marfa Audilla; Suliyanto, Suliyanto; Mardianto, M Fariz Fadillah; Ana, Elly
Jurnal Statistika dan Komputasi Vol. 4 No. 1 (2025): Jurnal Statistika dan Komputasi
Publisher : Universitas Nahdlatul Ulama Sunan Giri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/statkom.v4i1.4394

Abstract

Background: Indonesia, endowed with abundant natural resources, faces substantial challenges in maintaining environmental quality amid rapid urbanization and economic growth. The 2022 Environmental Performance Index ranked Indonesia 164th out of 180 countries with a score of 28.2. Regionally, Indonesia ranked 22nd among 25 Asia-Pacific countries. The Environmental Quality Index (EQI), crucial for achieving the Sustainable Development Goals (SDGs), was recorded at 72.42 in 2022, classified as "fair." This condition underscores the need for in-depth analysis of key factors influencing environmental quality. Objective: This study aims to examine significant factors affecting the Environmental Quality Index (EQI) across Indonesian provinces using appropriate nonparametric statistical methods. Methods: A nonparametric regression approach, specifically the Multivariate Adaptive Regression Spline (MARS) and the truncated spline multipredictor model, was applied. Predictor variables included the Human Development Index (HDI), population density, access to proper sanitation, poverty rate, and Gross Regional Domestic Product (GRDP). Secondary data for 34 provinces in 2022 were sourced from the Central Bureau of Statistics and the Ministry of Environment. Results: The truncated spline model demonstrated superior performance, achieving a minimal MSE of 5.63308, minimal GCV of 10.42, and R2  of 82.63%, outperforming MARS, which yielded a minimal MSE of 7.685, GCV of 16.014, and R2 of 79.3%. All predictor variables significantly influenced EQI. Conclusion: Social and economic factors were found to significantly affect environmental quality. The truncated spline approach offers an effective modeling alternative, providing critical insights to support environmental policy development at the provincial level.
FERMENTATION BIOTECHNOLOGY PRODUCTS IN THE FORM OF KOMBUCHA FLOWER OF KECOMBRANG (Etlingera elatior (JACK) R.M.SM.) AS ANTICOLESTEROL IN MALE WHITE MICE (Mus musculus L.) DDY STRAIN Setiawan, Usman; Yuwinani, Iin; Rezaldi, Firman; Nurmaulawati, Rina; Fadillah, M. Fariz
Biofaal Journal Vol 4 No 1 (2023): Biofaal Journal
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/biofaal.v4i1pp1-10

Abstract

Cholesterol is a fatty substance found in the blood, produced by the liver and is needed by the body. Intake of foods with high cholesterol content can increase cholesterol levels in the blood (hypercholesterolemia). The Kecombrang flower plant (Etlingera elatior) contains flavonoids, saponins and triterpenoids which can reduce hypercholesterolemia. The aim of this study was to determine the effect of kecombrang flower fermentation on reducing blood cholesterol in male white mice (Mus musculus L.) DDY strain. The research method was carried out in a pre-post randomized experimental design. Tests for reducing blood cholesterol levels were carried out on 20 individual mice which were tested into 5 treatments, namely distilled water as a negative control (K-), simvastatin as a positive control (K+), kombucha fermented E. elatior concentration of 10% (P1), 20% (P2). ), and 30% (P3). The results of induction and decrease in blood cholesterol levels of mice were analyzed by ANOVA test (A = 0.05%). If it was significantly different, it was continued with Duncan's test. The results showed that there was a significant effect on reducing blood cholesterol levels in male white mice. The results of effective cholesterol levels for lowering cholesterol levels were 84.5 mg/dl from the initial cholesterol of 141.5 mg/dl at a concentration of 30%.
Biochemical Characteristics of the Formulation and Preparation of Telang Flower Kombucha Jelly as an Antioxidant, Food and Pharmaceutical Biotechnology Products Ahmad Saddam Hussein; Rezaldi, Firman; Elok Zubaidah; Wijayanti Wijayanti; M. Fariz Fadillah; Muhammad Faizhal Fathurrohim; Sukardi Sugeng Rahmad; Fitria Eka Resti Wijayanti; Dyah Rohma Wati; Andri Tri Cahyono
Journal of Health and Nutrition Research Vol. 3 No. 3 (2024)
Publisher : Media Publikasi Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56303/jhnresearch.v3i3.287

Abstract

One of the functional food preparations which is soft formulated and made from hydrocolloid ingredients which include agar, gum, carrageenan, pectin and gelatin is jelly candy. In the formulation and preparation of jelly candy, which aims to increase its functional value, in this research, bioactive compounds are added which function to improve the health aspects of consuming it. In this research, jelly candy is made from butterfly pea flower kombucha because it contains organic acid compounds, polyphenols, vitamins, amino acids, so it is good for body health. Kombucha is made from butterfly pea flowers because previous research results have been proven to be antibacterial, antifungal, antioxidant, antifungal, anticholesterol and anticancer. Telang flowers contain secondary metabolite compounds which are divided into alkaloids, flavonoids, saponins, terpenoids, acetogenin which are cytotoxic for the growth of cancer cells and are efficacious as a source of antioxidants. The jelly candy product produced has been tested to meet the SNI 3547.2-2008 quality standard where the water content produced is 16.25%. ash content 0.35%. And pH 4.57. Jelly candy preparations made from the active ingredient telang flower kombucha which are designed as food and pharmaceutical biotechnology products have biochemical characteristics in warding off free radicals which refer to an IC50 value of 62.848 μg/mL
Analyzing Factors that Affect the Blitar Society Religiosity as the Impact of Wayang Wali Shows Based on Structural Equation Modelling Approaches Sari, Adma Novita; Widyangga, Pressylia Aluisina Putri; Romadhoni, M. Suma Firman; Yusuf, Bima Sakti Putra; Mardianto, M. Fariz Fadillah
ESTIMASI: Journal of Statistics and Its Application Vol. 6, No. 2, Juli, 2025 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v6i2.35850

Abstract

This research analyzes the impact of Wayang Wali performances on the religiosity of the Blitar society. Data was collected through a survey with stratified random sampling technique to 367 people in Blitar. The study employs two approaches: Confirmatory Factor Analysis (CFA) and Structural Equation Modeling-Partial Least Squares (SEM-PLS). CFA analysis show that all indicators for the five latent variables have shown significant Z-values, exceeding the threshold of 1.96. This confirms that the indicators are reliable measures for their respective latent constructs. Given this significance, the model demonstrates robust construct validity, ensuring that each latent variable is accurately represented by its indicators. From inner and outer models analysis, show that family environment, personality, social piety, and transpersonal psychology have an effect on the religiosity of the Blitar community because the t-statistical value > t table or 1.96 and the P-Value is 0.000 < 0.05. Through this research, Blitar government can enhance community religiosity, preserving cultural heritage and strengthening religious and moral values.
COMPARISON OF SALINITY AND SEAWATER TEMPERATURE PREDICTIONS USING VAR AND BIRESPONSE FOURIER SERIES ESTIMATOR Faisol, Faisol; Ukhrowi, Putri; Mardianto, M. Fariz Fadillah; Yudistira, Ira; Kuzairi, Kuzairi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.591 KB) | DOI: 10.30598/barekengvol16iss4pp1465-1476

Abstract

Salinity is the concentration of dissolved salts in water. The salt in question is a variety of ions dissolved in water, including table salt (NaCl). Salinity and seawater temperature are one of the factors that affect salt production. The higher the NaCl content, the better the quality of the salt. Currently, people's salt production is still unable to meet the needs of national salt, especially industrial salt, because most of the quality of people's salt still does not meet the SNI criteria for industrial salt. Thus, it is necessary to predict the salinity and temperature of seawater to help determine the next steps or policies in improving the quality of people's salt. Predictions of salinity and seawater temperature were carried out by applying the Vector Autoregressive (VAR) Analysis method and nonparametric Fourier series regression with primary data of salinity and seawater temperature on the coast of Tlesah Tlanakan Beach, Pamekasan. The best model chosen is the model that has the smallest error size and the highest accuracy measure. The best models are nonparametric regression of the Fourier series of sine and cosine bases with the predicted result obtaining a MAPE value is 0.00496 and coefficient of determination is 100%.
FOREIGN EXCHANGE RATE PREDICTION OF INDONESIA'S LARGEST TRADING PARTNER BASED ON VECTOR ERROR CORRECTION MODEL Mardianto, M. Fariz Fadillah; Farizi, Muhammad Fikry Al; Permana, Made Riyo Ary; Zah, Alfian Iqbal; Pusporani, Elly
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1705-1718

Abstract

Foreign exchange rates from the currencies of trading partners are a critical element in the development of Indonesia's economic landscape. As an active country in international trade, Indonesia's economic health is highly dependent on trade partnerships, movements, and interactions of foreign exchange rates from Indonesia's main trading partners. To achieve economic stability, Bank Indonesia intervenes in the foreign exchange market to keep the Rupiah exchange rate within a reasonable range. Indonesia is committed to achieving several points in the Sustainable Development Goals (SDGs), such as point 17, which emphasizes partnerships, and point 8, which underlines inclusive and sustainable economic growth. This commitment is an important factor in Indonesia's economic development. Therefore, it is necessary to predict the exchange rate value of Indonesia's largest trading partners considering these SDG aspects. In this study, the Vector Error Correction Model (VECM) was used to predict the foreign exchange rate of Indonesia's largest trading partners. The data used in this study is secondary data obtained from the investing.com webpage, comprising weekly data from January 2021 to November 2023. The foreign exchange rates of Indonesia's largest trading partners have a cointegration relationship, indicating long-term relationships and similarities in movements. The best model identified is VECM (1), with a very accurate MAPE value of 3.29%. The Impulse Response Function (IRF) analysis shows that the Chinese Yuan responds variably to different currencies, stabilizing over time. Variance Decomposition reveals that short-term fluctuations in the Chinese Yuan are primarily influenced by itself (87.89%) and significantly by the Singapore Dollar, South Korean Won, and Taiwan Dollar. The Granger Causality Test indicates that the Philippine Peso influences 11 other exchange rates, refining the VECM model and improving prediction accuracy. Indonesia is expected to build economic collaborations that can help achieve economic stability.
PREDICTION OF UNIT VALUE INDEX OF EXPORTS OF SITC 897 JEWELRY AND PRECIOUS GOODS GROUP IN INDONESIA Koesnadi, Grace Lucyana; Pratama, Bagas Shata; Ain, Dzuria Hilma Qurotu; Pusporani, Elly; Mardianto, M. Fariz Fadillah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2247-2262

Abstract

Export is an international trade activity that plays an important role in the economic progress in Indonesia. One of Indonesia's leading commodities that dominate the export market is jewelry. In export activities, the export unit value index is an important component that serves to describe the development of export commodity prices. This unit value index always changes every time and fluctuates. This research conducts a comparative analysis of the performance of parametric method, non-parametric method, and machine learning, specifically, ARIMA, Fourier series estimator, and Support Vector Regression (SVR). This study aims to evaluate the effectiveness of various methods in improving prediction accuracy for the unit value index of the SITC code 897 in Indonesia. The research data used is secondary data including monthly export unit value index data with SITC code 897 in Indonesia obtained from the Central Bureau of Statistics. The data divided into 90% training data and 10% testing data. The methods used in this analysis are ARIMA, Fourier series estimator, and SVR. The best model obtained from each method is ARIMA (1,1,1) with MAPE of 10.92%, Fourier series estimator with MAPE of 8.47%, and an SVR RBF kernel function with MAPE of 3.73%. The results of this study obtained the best method for predicting the unit value index of SITC code 897 is SVR with an RMSE value of 8.288 and very good prediction accuracy.
COMPARISION OF RICE PRICE PREDICTION RESULTS IN EAST JAVA USING FOURIER SERIES ESTIMATOR AND GAUSSIAN KERNEL ESTIMATOR SIMULTANEOUSLY Sadikin, Adnan Syawal Adilaha; Reswara, Aqil Azmi; Mardianto, M. Fariz Fadillah; Kurniawan, Ardi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1963-1974

Abstract

Extreme weather changes and the El Nino phenomenon in 2023 will cause drought, resulting in a decrease in rice production and an increase in rice prices. It has significantly impacted East Java Province as it is the most extensive rice supplier in Indonesia. This study aims to predict the price of rice with six different qualities using the Fourier series estimator and Gaussian kernel function simultaneously. The results show that the Gaussian kernel method, with a bandwidth value of 1, produces a better model with a MAPE value of 0.228259% than the sine function Fourier series method in predicting rice prices based on six different qualities. The prediction results using the Gaussian kernel function method are categorized as highly accurate because they are less than 10%. This research accelerates the realization of SDG 2 related to "Zero Hunger" through government policies to control the high price of rice in Indonesia. Recommendations that can be given through the research results include cooperation with the government, which can help access information and resources needed to manage price risks.
Implementation of Data Mining and Spatial Mapping in Determining National Food Security Clusterization Sifriyani, Sifriyani; Budiantara, I Nyoman; Mardianto, M. Fariz Fadillah; Febriyani, Eka Riche; Chairunnisa, Nurul Rizky; Putri, Asyifa Charmadya
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 8, No 3 (2024): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v8i3.19912

Abstract

This study proposes a cluster analysis of provinces based on national food security data. The research objective is to determine provincial clusters based on food indicators which include rice harvest area, distribution of rice stocks, percentage of trade margin and transportation of rice distribution, percentage of average per capita expenditure, and total per capita consumption of rice. The source of observation data for the Rice Harvested Area by Province variable is the Ministry of Agriculture, Central Bureau of Statistics and Agriculture Services throughout Indonesia. This study uses data mining techniques in data processing with the K-Medoids algorithm. The K-Medoids method is a clustering method that functions to break down data sets into several groups. The advantage of this method is that it can overcome the weakness of the K-Means method which is sensitive to outliers. Another advantage of this algorithm is that the results of the clustering process do not depend on the order in which the dataset is entered. The k-medoids clustering method can be applied to food security data by province. From grouping the data obtained three clusters, with silhouette coefficient values for cluster 1, cluster 2, and cluster 3 respectively 0.33; 0.32; and 0.44. With the largest silhouette coefficient value obtained in cluster 3 and the cluster has entered into a strong cluster structure. The research results can provide information to the government about food security grouping data in Indonesia which has an impact on the distribution and availability of food in Indonesia.
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 Alexandra, Victoria Anggia 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 Cahyoko, Fajar Dwi Candra Junaedi 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 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 Fauzan, Muhammad Hafid Fauzi, Doni Muhammad Febriyani, Eka Riche Fernanda Desmak Pertiwi Firda Aulia Pratiwi Fitri, Marfa Audilla Fitria Eka Resti Wijayanti Fitrianingsih, Eka Rani Fitriyani, Mubadi’ul Fortunata, Regina Galena, Marcelena Vicky Ghasani, Anisah Nabilah Ginzel, Bryan Given Christiano Girsang, Anne Vinella Grace Lucyana Koesnadi Hanny Valida Haq, Affan Fayzul Hari Hariadi, Hari Hasanah, Sarmiatul Helda Urbhani Rosa Hermawan, Mohamad David Hizbullah, Firqa Aqila Humaira, Edla Putri I Kadek Pasek Kusuma Adi Putra I Nyoman Budiantara Idrus Syahzaqi Idrus Syahzaqi Imam Yuadi Immanuel Alexander Sirait Indrasta, Irma Ayu Inneztiana, Alya Rahma Ira Yudistira Isna Nurul Izza Amalia Jannah, Sa’idah Zahrotul Karima, Sasy Okti 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 Miswan, Nor Hamizah Mochamad Rasyid Mochammad Baihaqi Mochammad Imron Awalludin Muhammad Andry Muhammad Daffa Bintang Setyawan 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&#039;imatul Lu&#039;lu&#039;a Nabila Angel Nafisha Nabila, Ainaya Zakiyah Nadia Dwi Marwanda Nahar, Muhammad Hafidzuddin 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 Pramesti, Helfira Lady Ari 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 Rahmawati, Nike Meliana 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 Riefky, Muhammad 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 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 Simamora, Antonio Nikolas Manuel Bonar Siregar, Naufal Ramadhan Al Akhwal Siswahyudianto Siti Maghfirotul Ulyah Siti Maghfrotul Ulyah Siti Romlah Sofia Andika Nur Fajrina Sri Endah Nurhidayati 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 Valida, Hanny Vanisa, Davina Shafa Wibawa, Yoga Setya Widyangga, Pressylia Aluisina Putri Widyangga, Pressylia Aluisina Putri Wijayanti Wijayanti Wulandari, Indana Zulfa Yenny, Ratna Fitry Yoani, Alfredi 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