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Pencegahan Penyakit Kusta di Lingkungan Hutan Tropis Lembab Kalimantan Melalui Pemodelan Geographically Weighted Poisson Regression Wati, Fatma; Suyitno, Suyitno; Hayati, Memi Nor
EKSPONENSIAL Vol. 12 No. 1 (2021)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v12i1.756

Abstract

Geographically Weighted Poisson Regression (GWPR) model is a regression model developed from Poisson regression which is applied to spatial data. Parameter estimation of the GWPR model is done at each observation location using spatial weighting. This study goal is to obtain the GWPR model and the factors influencing the number of leprosy cases in each regency(municipality) on Kalimantan Island in 2018. Spatial weighting was obtained by using the adaptive bisquare kernel function and optimal bandwidth was determined by using Generalized Cross-Validation (GCV) criteria. The data of this study was secondary data namely the number of leprosy cases in 56 regency on Kalimantan Island in 2018. The parameter estimation method of GWPR model is Maximum Likelihood Estimation (MLE). The results of analysis showed that maximum likelihood estimator is obtained by using the Newton-Raphson iterative method and the factors affecting the number of leprosy cases in each regency were different and locally. The factors influencing locally were the number of health facilities, the number of health workers, the number of male population and population density.
Penentuan Cadangan Premi Asuransi Jiwa Dengan Metode Fackler Faturachman, Faturachman; Suyitno, Suyitno; Rizki, Nanda Arista
EKSPONENSIAL Vol. 13 No. 1 (2022)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v13i1.876

Abstract

Insurance is an agreement between two parties, where one party is obliged to pay and the other party has the obligation to provide compensation to the premium payer if something happens to the party in accordance with the agreement that has been made. The main problem faced by insurance companies is that the fees paid through premiums are not sufficient to finance compensation payments at the beginning of the policys, To overcome the shortage of costs the insurance company must have a reserve fund called a premium reserve. The purpose of this study was to determine the reserve for term, endowment and whole life insurance premiums using the Fackler method. The variables used in this study are the customer's age, gender, payment term, interest rate and the sum insured. In this study, premium reserves were calculated for participants aged 30 years, men and women, with a payment term of 30 years, an interest rate of 6.75%, and an insurance value of Rp. 100,000,000. Based on the calculation results, the reserve value of term life insurance premium for customers with 30 years of age and the insurance period of 30 years increases at the beginning of the year to the 21st year, after which it decreases until the reserve at the end of the 30th year, the value of the lifetime insurance premium reserve. life for customers with 30 years of age always increases from the beginning of the year to the last year where the payment for male customers is Rp. 93,176,962 and women in the amount of Rp. 93,296,217,156250. The reserve value of dual-purpose life insurance premiums for customers with 30 years of age and insurance period of 30 years always increases from the beginning of the year to the end of the year of payment of Rp. 100,000,000. The large difference in premium reserves for men and women is due to the higher chance of life for women than men.
Model Geographically Weighted Poisson Regression (GWPR) dengan Fungsi Pembobot Adaptive Gaussian: (Studi Kasus : Angka Kematian Ibu (AKI) di 24 Kab/Kota Kalimantan Timur dan Kalimantan Barat Tahun 2017) Ridhawati, Ridhawati; Suyitno, Suyitno; Wasono, Wasono
EKSPONENSIAL Vol. 12 No. 2 (2021)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v12i2.807

Abstract

The Geographically Weighted Poisson Regression (GWPR) Model is a regression model developed from Poisson regression or a local form of Poisson regression. The GWPR model generates a local model parameter estimator at each observation location where the data is collected and assumes the data is Poisson distributed. The estimation of GWPR model parameters uses the Adaptive Gaussian weighting function by determining the optimum bandwidth using GCV criteria. Based on the GWPR model, it is found that the factors that influence the maternal mortality rate (MMR) data in 24 districts (cities) of East Kalimantan and West Kalimantan are the percentage of pregnant women receiving Fe3 tablets, pregnant women with obstetric complications and the number of hospitals. These three variables produce four groups of GWPR model. Based on the GCV value, it is obtained that the best model is the GWPR model because it has the smallest GCV value.
Penerapan Model Geographically Weighted Logistic Regression Pada Data Status Kesejahteraan Masyarakat di Kalimantan Tahun 2017 Pratiwi, Nadya; Suyitno, Suyitno; Siringoringo, Meiliyani
EKSPONENSIAL Vol. 11 No. 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (776.692 KB) | DOI: 10.30872/eksponensial.v11i1.648

Abstract

Geographically Weighted Logistic Regression (GWLR) model is a regression model developed from logistic regression which is applied to spatial data. The aims of research is a GWLR model determination on dichotomous data of community welfare status based on the Human Development Index (HDI) and to find the factors influencing the probability of high welfare status of each Regency/City on Kalimantan Island in 2017. Parameters estimation of the GWLR model was done at each observation location using a weighted Maximum Likelihood Estimation (MLE) method and maximum likelihood estimator was obtained by Newton Raphson iterative method. Spatial weighting on parameter estimation was determined using Adaptive Gaussian weighting function and optimum bandwidth was determined using Generalized Cross-Validation (GCV) criterion. Based on the result of GWLR parameter testing, it was concluded that the factors influencing the probability of high welfare status of Regency/City on Kalimantan Island in 2017 were school enrollment rates (senior high school), the number of health workers, real per capita income and the open unemployment rate.
Model Regresi Cox Weibull Dengan Metode Penaksiran Parameter Efron Partial Likelihood: Studi Kasus : Lama Perawatan Pasien Penderita Tuberkulosis Di Puskesmas Loa Ipuh Tenggarong Tahun 2017 Ihsan, Ihsan; Suyitno, Suyitno; Wahyuningsih, Sri
EKSPONENSIAL Vol. 11 No. 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (746.089 KB) | DOI: 10.30872/eksponensial.v11i1.639

Abstract

Survival analysis is an analysis that involves statistical tests to analyze data on the time or length of time until the occurrence of a particular event. One regression model for time duration data modeling is the Cox PH regression model. Cox PH regression applied to time duration data with Weibull distribution is called Cox PH Weibull regression. The purpose of this study is to obtain a Cox PH Weibull regression model and determine the factors that influence the length of treatment for tuberculosis patients. The parameter estimation in this study is Efron partial likelihood method. The Efron partial likelihood method is suitable for estimating Cox PH regression parameters to data containing ties. Based on the results of parameter estimation the best model is obtained by using AIC crtiteria. Based on the partial test, age is factor that influence to the length of treatment. The results of the study show that every increasing age patient one year, then length of treatment until the patient recovered, will increas 1,024 times.
Model Geographically Weighted Univariat Weibull Regression pada Data Indikator Pencemaran Air Dissolve Oxygen di Daerah Aliran Sungai Mahakam Kalimantan Timur Tahun 2018 Sugiarto, Sugiarto; Suyitno, Suyitno; Rizki, Nanda Arista
EKSPONENSIAL Vol. 12 No. 2 (2021)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1241.218 KB) | DOI: 10.30872/eksponensial.v12i2.813

Abstract

Geographically Weighted Univariat Weibull Regression (GWUWR) model is a regression model applied to spatial data. Parameter estimation of GWUWR model is performed at every observation location using spatial weighting. The purpose of this study is to determine the GWUWR model at the water pollution indicator data namely dissolved oxygen (DO) at Mahakam river in East Kalimantan and to find out the factors that influence DO in Mahakam river. The research data are secondary from the environmental services East Borneo. The research response variable was DO, meanwhile the predictor variables were pH, Total Dissolve Solid, Total Suspended Solid, Nitrate and Amonia. Parameter estimation method is Maximum Likelihood Estimation (MLE). Spatial weighting was determined using the Adaptive Gaussian weighting function and optimum bandwidth determination criteria used Generalized Cross-Validation (GCV). Based on the result of the parameter testing of GWUWR model it was concluded the factors influencing DO locally were pH, Total Dissolve Solid and ammonia concentrations, while the factors influencing globally were Total Dissolve Solid and ammonia concentration
Penerapan Latent Class Regression Analysis dalam Segmentasi Pasar Musmirani, Musmirani; Purnamasari, Ika; Suyitno, Suyitno
EKSPONENSIAL Vol. 11 No. 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.292 KB) | DOI: 10.30872/eksponensial.v11i1.644

Abstract

Cluster analysis is a method of grouping observation objects into several classes. One method of mixed-scale data grouping is Latent Class Regression Analysis (LCRA). The purpose of this research is to classify the opinion of Wardah's product consumers on marketing strategies (product aspects, price aspects, location aspects, and promotion aspects) PT. Paragon Technology and Innovation Regional Samarinda in 2017 with covariate variables arelength of subscription, type of work and age of consumers. Estimation of LCRA using the Expectation Maximization (EM) method, solved by the Newton-Raphson method. The result of LCRA analysis that based on consumer opinion on market segmentation, consumers are grouped into two classes.The first class is 31 consumers that strongly agrees the aspects of product, price, promotion and position are appropriate market segmentation, and the second class is 69 that quite agrees product aspects, prices, promotion and position is the appropriate market segmentation.
Analisis Faktor-Faktor Yang Berpengaruh Terhadap Pencemaran Air Sungai Mahakam Menggunakan Pemodelan Geographically Weighted Logistic Regression Pada Data Dissolved Oxygen Lestari, Vivi Dwi; Suyitno, Suyitno; Siringoringo, Meiliyani
EKSPONENSIAL Vol. 12 No. 1 (2021)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (694.948 KB) | DOI: 10.30872/eksponensial.v12i1.757

Abstract

Geographically Weighted Logistic Regression (GWLR) model is a local model of the logistic regression model applied to spatial data. Parameter estimation is performed at each observation location using spatial weighting. The spatial weighting is calculated by using an adaptive tricube function and bandwidth optimum was obtained based on Generalized Cross Validation (GCV) criteria. The purpose of this study was to obtain a GWLR model on the water pollution indicator Dissolve Oxygen (DO) in Mahakam River in East Kalimantan Province and to find factors affecting the probability of the Mahakam River water was not polluted based on DO indicator. The research data is secondary obtained from Environmental Department of East Kalimantan. The parameter estimation method was Maximum Likelihood Estimation (MLE). The research result showed that the closed form of ML estimator could not be found analytically and it can be approximed by using Newton-Raphson iterative methods. Based on the result of partial hypothesis test, the factors influencing the probability of the Mahakam River water was not polluted is different for every observation location. They were phosphate consentration, total dissolved solid and nitrite consentration. The factor influencing globally was total dissolved solid.
Penerapan Metode Klasifikasi Chi-Square Automatic Interaction Detection dan Exhaustive Chi-Square Automatic Interaction Detection: Studi Kasus: Data Masa Studi Mahasiswa Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Mulawarman Nurhasanah, Nurhasanah; Goejantoro, Rito; Suyitno, Suyitno
EKSPONENSIAL Vol. 13 No. 1 (2022)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.767 KB) | DOI: 10.30872/eksponensial.v13i1.877

Abstract

The Chi-Square Automatic Interaction Detection (CHAID) and Exhaustive CHAID methods are nonparametric statistical methods that can be used to classify. CHAID and Exhaustive CHAID were used to determine the significant relationship between the dependent variable and the independent variables based on the chi-square independence test. This study was applied to data on the study period of students of FMIPA UNMUL batch 2014. Based on the CHAID and Exhaustive CHIAD methods, it can be seen that the dependent variable of the study period has a significant relationship with the independent variable, namely the study program and GPA predicate. Where students who graduated on time for the Statistics, Biology and Chemistry study program with a satisfactory GPA predicate of 82 students and with a very satisfactory GPA predicate and cum laude with 46 students. Meanwhile, students who did not graduate on time for the Statistics, Biology and Chemistry study program with an adequate GPA predicate of 5 students, a satisfactory GPA predicate of 41 students, very satisfactory and cum laude with 3 students. Students who graduated on time for the Physics study program were 13 students and those who did not graduate on time were 34 students. The chi-square independence test performed on the CHAID method uses fewer possible categorical pairs than the Exhaustive CHAID method which uses all possible categorical pairs so that it requires a long computational and calculation time.
Pengujian Hipotesis Parameter Model Mixed Geographically Weighted Regression Data Indeks Pembangunan Manusia di Kalimantan Tahun 2016 Utami, Riska Putri; Suyitno, Suyitno; Hayati, Memi Nor
EKSPONENSIAL Vol. 11 No. 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.592 KB) | DOI: 10.30872/eksponensial.v11i1.640

Abstract

Mixed Geographically Weighted Regression (MGWR) model is a Geographically Weighted Regression (GWR) model with some parameters are global (have the same value) and several other parameters are local (have different values) for each observation location. The purpose of this study is to obtain a MGWR model on the Human Development Index (HDI) data and find out the factors that influence the HDI of each district (city) in the provinces of East Kalimantan, Central Kalimantan and South Kalimantan in 2016. The parameter estimation method is carried out through two stages (backshift), namely local parameter estimation by using the Weighted Least Square (WLS) method and global parameter estimation by using the Ordinary Least Square (OLS) method. Spatial weighting on local parameter estimation is obtained by using an adaptive Bisquare weighting functions, where optimum bandwidth determination uses Generalized Cross-Validation (GCV) criterion. Based on the result of MGWR parameter testing, it was concluded that the school enrollment rates (SMP) affected the HDI of all districts (cities) in East Kalimantan, Central Kalimantan and South Kalimantan, while the population density affects the HDI only in a few districts (cities), namely East Kutai, Balikpapan, Samarinda and Bontang.
Co-Authors - Indrianawati A'yun, Qonita Qurrota A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA Ab-Latif, Zahidah Abda Abda Abdullah, Muhammad J.Q. Abidin, Upik Khoirul Achmad, Fariz Achmad, Fendi Aci Primartadi Ade Novi Nurul Ihsani ade rahmawati Adi Permadi, Adi Adi Yeremia Mamahit Afifa, Firli Afifah, Umi Nur Agung Kurniawan Agus Aan Adriansyah Agus Suprihanto Agus Suyatno Agustianto, Rezky Agustin, Defitri Karunia Ahmad Arifuddin Ahmad Fathoni ahyar hasan Ajeng Dian Pertiwi Aji Saputra Akbar, Akhanul Fikri Akhiryani, Atna Akhmad Sirojuddin Akhmad, Fandi alfiah alfiah Amaliah, Lili Amat Jaedun Anantasya , Lia Andayani Andayani Andrianto Andrianto Anggoro, Yusuf Ani Rakhmawati Anindya, Desy Anisah, Al Khoridatul Anitasari, Mike Elly Anri Naldi Apriliyanto, Apriliyanto Ardhanty, Risha Ardiyansah, Nur Irfan Arfilia Wijayanti Ari Kartiko, Ari Ari Widyaningrum, Ari Arief Kurniawan Arif Susanto Arisyanto, Prasena Arwini, Arwini Asep Ardiyanto Assani, Putra Harfian Atiqa Sabardila Ayu Wulandari Ayu Yuliani Sekriptini Aziz, Ikhwan Azizi, Alvin Nur Azzahra, Nadhifa Bahriah, Ayu Bambang Sulanjari Bangun, Eka Uliyanti Putri Br Basuki Basuki Bayu Aji, Alam Prasetya Budi Arifvianto Burhan, Muhammad Najih Cahyani, Nabilla Regita cahyono, didik Chairina, Puspa Chana, Kieng Chasanah, Alfi Chriszia, Deyana Dani, Andrea Tri Rian Dedi Setiawan Dedy Hermawan Dedy Masnur, Dedy Desty, Yola Devira, Annisa Suci Dewi Amiroh Dewi Puspito Sari, Dewi Puspito Dewi, Galuh Ayu Ikhsana Diahnisa, Tifany Diana Endah Handayani Dianna Ratnawati Didi Taswidi Dipa Nugraha Dwi Jatmoko Dwi Jatmoko Dyah Suryani Edwin, Vebby Amellia Edwin, Vebby Emilia Edy Suryanto Eka Sari Setianingsih, Eka Sari Elsania, Ardista Dwi Elvi Juliansyah Emilia, Nazwa Putri Eniah, Nur Erlyne Nadhilah Widyaningrum Fais Wahidatul Arifatin Faizah, Erna Nur Faizin, A. Fajar Cahyadi Fajriati, Nur Ainun Fakhrudin, Ikhwan Fardhiasih Dwi Astuti Farrah, Farrah Adhaban Fitriannisa FATKHUL MUIN Fatma wati Faturachman, Faturachman Fauziyah, Meirinda Febrianta, Nanda Surya Febrianti, Devi Ferdinand Salomo Leuwol Ferlinda, Fina Filia Prima Artharina Firmansyah, Azra Fitriniati, Yurika Fuad Hilmy Fuad, Zaqiatul Ghufron Abdullah Giok Ade Surti Hairil Akbar Hakim, Adi Lukman Halimah Halimah Handoko Putro, Guruh Marhaenis Haperidah Nunilahwati, Haperidah Haris Abizar Hariyanto, Syahman Hartuti, Eka Putri Haryanto, Anjar Tri Hasani, Burlian Hastuti , Wiwik Dwi hastuti, Nuri Hattapradit, Faron Hayati, Suci Nur Hendarwati, Emy Khairil Heni Rusmitasari Heri, Mochamad Herminarto Sofyan Hidayah, Yayuk Hidayah, Yayuk Hidayah, Yayuk - Hidayanty, Nurul Ilma Hidayat, Ryan Hidayatullah, Rizqy Hilm, Fuad y Himmah, Jazilatul Hizriansyah, Hizriansyah Husni Wakhyudin Hutri Handayani Isra Ibnu Maliq, Muhamad Noa Ibnu Siswanto Ida Ayu Putu Sri Widnyani Ida Nugroho Saputro Idham Halid Ihsan Ihsan Ihsani, Muhammad Fauzan Ika Purnamasari Ikha Listyarini Ilham Azmy Imriani Idrus Imron Arifin Inayah, Ulfah Resti Indah Damayanti, Indah Indah Dwi Pratiwi Indah Eges Wahyuni Indrayani, Putu Emy Indri Indri Indriani, Atika Rahma Indriati, Kurnia Indriyani, Mila Melinda Intan Rahmawati Isbakhi, Ari Fajar Isnantyo, Fajar Danur Istiqomah, Hidayatul Istya Ayu Ardiyanti ISWAHYUDI ISWAHYUDI Jaenullah, Jaenullah Jannah, Arihni Arihatal Jannah, Febryana Miftahul Jeki Mediantari Wahyu Wibawanti Jiwon, Han Jiwon, Lee Joleha, Siti Karima, Nabila Al KARIMAH, NURUL Kartika Kartika Kartika Putri, Riva Wahyu Khairil Anwar Khamdiyah, Rif'atul Khamidi , Amrozi Khan, Muhammad Uzair Khodijah Khodijah Khofifah, Hesti Khoirudin, Wakhid Yani Khoirul Anwar Khusnul Fajriyah Khusnul Khotimah Kinanti, Ainidya Marhaenita Kiswoyo, Kiswoyo Koirudin, Hadi Komaruddin, Ahmad Kosasih, Raditya Arya Krisnita Dwi Jayanti, Krisnita Dwi Kristiari, Shintia Putri Krit, Pong Kundharu Saddhono L, Muh Yudha Lepong, Piter Lestari, Efi Diana Lestari, Nur Awalin Sri Puji Lestari, Vivi Dwi Limatahu, Iqbal Listi Hariani Lovandri Dwanda Putra, Lovandri Dwanda Lukma, Hazairin Nikmatul Lutiyatmi Lutiyatmi, Lutiyatmi M. Fathurahman Maarif, Mahmuda Maghfiroh, Anik Maghfiroh, Putri Mahmuda, Siti Mansyur Srisudarso Maretalinia, Maretalinia Marinda Sari Sofiyana Markhamah Marlina Marlina Masrifah, Masrifah Masruri, Deden Masruroh MASRUROH Massus Subekti Maydifika, Annisa Noer Mei Fita Asri Untari Meisuri Memi Nor Hayati Mila Karmila Minho, Kim Mira Azizah Mochammad Imron Awalludin Moh. Nurul Huda, Moh. Nurul Mohamad Muqoffa Mohamad Sadli Mohammad Wildan Habibi, Mohammad Wildan Monantun, Readysal Mudzanatun Mudzanatun Muh. Irfan MUHAMAD SHOLEH Muhammad Arief Budiman Muhammad Nawawi Muhammad Nur Muhammad Nurtanto Muhammad Yuhendri Muji Setiyo Mulia, Ratna Diva Tri Mumtaz, Ghina Fadhilla Muplihah, Siti Murry Harmawan Saputra Muslim Mahardika Musmirani, Musmirani Musparlin Halid Mutohhari, Farid Nabila, Ananda Fatiha Nabila, Pravita Hasna Nafi’, Zahrotun Nanda Arista Rizki Nariza Wanti Wulan Sari Nasirudin, Ahmad Nasrun Balulu Negari, Anita Siwi Neni Marlina Ngatmini Ngatmini Ngurah Ayu Nyoman Murniati Ni Ketut Supasti Dharmawan Nikmatus Sa’adah Nila Kurniasih Nilasari, Nilasari Ningrum, Lorencia Endah Cahya Nisa, Aulia Nisa, Nihayatul Lailiatusy Saidatun Noviyanti, Raras Nufikha Ulfah, Nufikha Nugraha, Pratama Yuly Nugroho, Yuli Sutoto Nur Hidayat Nur Laili Nur Syamsu, Fikri Nur Waskito, Ardisa Pangestu Nur Wening, Nur Nuraeni, Tating Nuraly Masum Aprily Nurani, Fani Dwi Nurdjannah, Sitti Nurhasanah Nurhasanah Nurhidayah, Rani Nurhikmah Sasna Junaidi Sasna Junaidi, Nurhikmah Sasna Junaidi Sasna Nurida, Siti Nurkadri, Nurkadri Nurmayanti, Wiwit Pura NURUL ARIFAH Nurwahyuningsih, Sri Nuur Wachid Abdul Majid Oktaviyani, Prisilia Pamungkas, Sendy Panduwinata, Hesty Dwiyugo Pangruruk , Thesya Atarezcha Pangruruk Pardjono, P. Pauzan Pauzan, Pauzan Pawenang, Denta Kesdik Poncowati, Srikandi Dwi Pong, Ming Pradipa, Zalva Pramono Pramono Pratama, Arjun Pratamasari, Rossy Pratiwi, Nadya Prayitno, Mohkamad Dimas Prayogo, Anom Prihartini, Dita Primadigna, Ullimaz Sam Purboasri, Galih Dwi Purwani, Sagung Putri ME Purwanti, Yani Putra, Eko Prasatyo Putra, Firman Syah Putri, Cindy Amelia Putri, Ditha Reginna Putri, Silvi Aulia Putriani, Ida Putu Sudira Putu Sudira Qamariah, Nasywa Nurul R. Soekrisno Raden Mohamad Herdian Bhakti Rahardyanto, Rivaldy Rahim, Abd Rahmadhani, Isabella Rahmah, Marisa Silvia Rahmah, Siti Mahmudatur Rahmah, Ummu Habibah RAHMAT GUNAWAN Rahmawati, Daniar Rahmawati, Rahmawati Rakha Rakha Ramdani , Robitul Umam Ridhawati, Ridhawati Ridwan Sinurat Rigidanty, Salma Claudia Silky Rinaldi Rinaldi Rini Dharmastiti Rith, Vicheka Rito Goejantoro, Rito Rizki, Aprilia Rochmatillah, Mudha Rony, Zahara Tussoleha Rostianingsih, Dewi RR. Ella Evrita Hestiandari Rudi Wibowo S, Jihan Amalia Sa'adah, Hanifah Maghfiroh Sa'diyah, Halimatus Sabeta, Mafaza Nuris Sadli, Mohamad Safitri, Harminah Safitri, Ranita Nur Safitri, Rosyida Awali Safrudin, Cecep Sahid Teguh Widodo Saki, Vernonia Yora Salim, Urip A. Salim, Urip Agus Saputra, Ahmad Yunus Wahyu SAPUTRA, ARYA Sari Dewi, Ratna Sari, Elmiya Sari, Vega Nofita Sarip, Mohammad Satar, Ibdal Satrio, Muhammad Adien Bagus Sa’adah, Lailatus Setiawan, Feri Budi Setiawan, Restu Budi Setyawan Bekti Wibowo Setyawan, Feri Budi Setyoningsih Wibowo Setyowati, Nur Ida Dwi Shafira, Risma Meita Shodiq, Muhamad Nur Sholikhah, Assalamatus Siantar, Rupdi Lumban Siddiq, Mochammad Baharudin Sidik, Jafar Sifriyani, Sifriyani Sigit Iswahyudi Sigit Mujiarto Singgih Adhi Prasetyo, Singgih Siregar, Renince Siringoringo, Meiliyani Siswo Pranoto SITI MAHMUDAH Siti Roudhotul Jannah, Siti Roudhotul Slamet Supriyadi Solly Aryza Sri Nurcahyati SRI RAHAYU Sripit Widiastuti, Sripit Sudarjo Sudarman, Alfiannur Rizki Sugiarto S Sukamto, Ika Sumiyarsi Sukmayadi, Trisna Sulaimah, Hiyarotus Sumardani, Wahyu Bintoro Sumiati, Siti Sunan Baedowi, Sunan Sunanda, Adyana Sunarti Sunaryo Supiyandi Supiyandi Supriatin Supriatin, Supriatin Supriyanto, Andi Surahman, Wahyu Tri Suroto Suroto Susi Widjajani Sutama Sutiman Sutiman Sutiman Sutiman, Sutiman Sutiyoko Sutiyoko, Sutiyoko Suyadi Suyadi Syahep, Egidya Syahputra, Darma Reza Syakirun Syakirun Syarofa, Najwa Taib, Suryani Tantrakarnapa, Kraichat Tati Suryati Taufiq Harris Teguh Hadi Wibowo Teten Tresnawan Thohirin, Ahmad Thohorin, Ahmad Totok Eka Suharto Tuatul Mahfud Tukiyo, Intan Wahyuni Ubaidillah Ubaidillah Ulyah, Resa Maghfiratul ulyana, ulyana Usman Sambiri Usman, Lailany Miranda Utami, Riska Putri Utami, Sisilia Tri Vann, Rithy Veryliana Purnamasari, Veryliana Viktor Malau Wadjdi, Faried Wahyuni , Tutik Wahyuni, Denik Putri Wahyuningsih, Yuie Wahyuningsih, Yulie Wardani, Decyta Khasuma Wardani, Yulia Fatma Wardoyo, Christianus Pigun Warisman Warisman WARJU Wasono, Wasono Wibawa Endra Juwana, Wibawa Endra Wibisono, Salsa Alifianti Wicaksono, Bagus Koko Widia Sinaga, Tanti Widiyatmoko Widya Hary Cahyati Widyani Rahman, Chintya Widyaningsih, Wiwit Winarni Winarni Winarto Winarto Winnugroho Wiratman, Manfaluthy Hakim, Tiara Aninditha, Aru W. Sudoyo, Joedo Prihartono Wisnu Wardana, Aris Wiwit Desi Intarti Yahya, Syahril Maula Yayu Angriani Yetty Zairani, Fitri Yosalli, Yosalli Yosep Efendi Yosohartono, Aloysius Yohanes Soegeng Ysh., A. Y. Soegeng Yuki Novia Nasution, Yuki Novia Yuli Widiyono Yulianti & Ninik Indawati Hartatik Yulianto, Aris Yuliatin, Diah Yulie Wahyuningsih Yuna, Jung Yuniarti, Desi Yunus, Mohd Yusri Bin Kamin Zafitra, Rahma Zahria, Linta Zainal Arifin