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Journal : Eksponensial

Model Geographically Weighted Weibull Regression pada Indikator Pencemaran Air Biochemical Oxygen Demand di Daerah Aliran Sungai Mahakam Rahmah, Siti Mahmudatur; Suyitno, Suyitno; Siringoringo, Meiliyani
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 (916.57 KB) | DOI: 10.30872/eksponensial.v12i2.804

Abstract

Geographically Weighted Weibull Regression (GWWR) Model is a Weibull regression model applied to spatial data. Estimation of the GWWR model is performed at every observation location using spatial weighting. The purpose of this study was to determine the GWWR model of water pollution indicator Biochemical Oxygen Demand (BOD) data and the factors that influence BOD in the Mahakam River. The estimating parameters method of the GWWR model was the Maximum Likelihood Estimation (MLE) and it’s estimator was obtained by Newton-Raphson Iterative method. Spatial weighting in parameter estimation was determined using the Adaptive Bisquare weighting function and bandwidth optimum was determined by using Generalized Cross-Validation (GCV) criteria. Based on the GWWR model parameters testing, the factors that influence BOD locally was nitrate concentrations, while the factors influence globally were temperature and nitrate concentration.
Model Regresi Hazard Rate Weibull Kesembuhan Pasien Rawat Inap Demam Berdarah Dengue (DBD) Di RSUD Panglima Sebaya Tanah Grogot Fajriati, Nur Ainun; Suyitno, Suyitno; Wasono, Wasono
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 (784.163 KB) | DOI: 10.30872/eksponensial.v13i1.878

Abstract

Univariate Weibull Regression (RWU) is a regression model development of the Univariate Weibull distribution, where the scale parameters is expressed in terms of the regression parameters. Univariate Weibull Regression Models discussed in this study are Weibull survival regression and the Weibull hazard regression model. Weibull regression models in this study was applied to lifetime data containing the right censored data for Dengue Hemorrhagic Fever (DHF) inpatients at the Regional General Hospital (RSUD) Panglima Sebaya Tanah Grogot, Paser Regency, Kalimatan Tinur. The purpose of this study was to obtain a Weibull regression model and to determine the factors that affect the patients is survive (have not recovery) and the recovery rate of DHF patients. The parameter estimation is the Maximum Likelihood Estimation (MLE) which is solved by using the Newton-Raphson iterative method. The study conclude that the factors influencing the patients is survive (have not recovery) and the recovery rate of DHF patients at RSUD Panglima Sebaya Tanah Grogot were platelets and leucocytes.
Model-Model Regresi Weibull Univariat pada Indikator Pencemaran Air Dissolved Oxygen di Daerah Aliran Sungai Lingkungan Hutan Hujan Tropis Kalimantan Timur Chairina, Puspa; 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 (897.131 KB) | DOI: 10.30872/eksponensial.v11i1.641

Abstract

A Univariate Weibull Regression is a model of regression developed from univariate Weibull distribution with the parameter scale is stated in parameter regression. There are some of univariate Weibull regression model, namely Weibull survival regression, Weibull hazard regression and mean model. Univariate Weibull regression model in this research is applied to the water pollution indicator dissolved oxygen (DO data at Mahakam river in East Kalimantan. The purpose of this study is to find out the model of univariate Weibull regression based on the parameter estimation by using maximum likelihood estimation method (MLE) and to find out the factors which affect to univariate Weibull regression in Mahakam river. The result shows that the closed form of the maximum likelihood estimator can not be found analytically, and it can be approximed by using the Newton-Raphson iterative method. Based on the result of partial hypothesis test for all the parameter regression, it was found that detergent concentration and nitrate concentration had significant influence to the DO in the water of Mahakam river.
Analisis Faktor-Faktor yang Mempengaruhi Jumlah Kasus Tuberkulosis di Indonesia Menggunakan Model Geographically Weighted Poisson Regression Karima, Nabila Al; 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 | Full PDF (711.443 KB) | DOI: 10.30872/eksponensial.v12i1.754

Abstract

Tuberculosis is a contagious disease suffered by humans caused by mycobacterium tuberculosis bacteria. Tuberculosis in Indonesia must be eradicated both preventive and treatment. One effort that can be given to the community to reduce tuberculosis cases is by providing information on the factors that influence tuberculosis cases through Geographically Weighted Poisson Regression (GWPR) modeling. The number of tuberculosis cases in Indonesia is a count data with a small chance of occurrence so that it is suspected to have a Poisson distribution. Cases of tuberculosis are spatial data (spatial heterogeneity). The purpose of this study is to determine the GWPR model of the number of tuberculosis cases in Indonesia and determine the factors that influence tuberculosis cases in Indonesia. The research data are secondary data obtained from the Indonesian Ministry of Health. Parameter estimation method is Maximum Likelihood Estimation (MLE). Spatial weighting is calculated by using the Adaptive Gaussian weighting function and the optimum bandwidth is determined by using the Cross-Validation (CV) criteria. The research results showed that the exact Maximum Likelihood (ML) estimator could not be obtained analytically and the approximation of ML estimator was obtained by using the Newton-Raphson iterative method. Based on the results of the parameter testing of GWPR model, it was concluded that the factors affecting the number of tuberculosis cases were local and varied in 34 provinces. The factor affecting locally are the number of poor people, the percentage of houses unfit for habitation, the percentage of districts/cities that do not have a PHBS policy and the percentage of TPM not meeting health requirements, meanwhile factors influencing globally are the number of poor people.
Model Geographically Weighted Weibull Regression Pada Indikator Pencemaran Air COD di Daerah Aliran Sungai Mahakam Kalimantan Timur Primadigna, Ullimaz Sam; Suyitno, Suyitno; Siringoringo, Meiliyani
EKSPONENSIAL Vol. 13 No. 2 (2022)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (860.595 KB) | DOI: 10.30872/eksponensial.v13i2.1050

Abstract

The Geographically Weighted Weibull Regression (GWWR) model is a Weibull regression model applied to spatial data. Parameter estimation is carried out at each observation location using spatial weighting. This study aimed to determine the GWWR model on the Chemical Oxygen Demand (COD) water pollution indicator data and to obtain the factors that influence COD in the Mahakam watershed. The parameter estimation method was Maximum Likelihood Estimation (MLE). Spatial weighting in parameter estimation has been determined using the adaptive tricube weighting function and the criteria for determining the optimum bandwidth was Generalized Cross-Validation (GCV). The research sample was 20 location points of the Mahakam river determined by the Environmental Department of East Kalimantan Province. The results showed that the factors that influence COD locally was temperature, while the factors that influence globally were temperature, Total Suspended Solids (TSS), and Fecal Coli.
Penaksiran Kandungan Klorida di Sungai Mahakam Wilayah Samarinda Tahun 2017 dengan Metode Cokriging Putra, Eko Prasatyo; Goejantoro, Rito; Suyitno, Suyitno
EKSPONENSIAL Vol. 11 No. 2 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (252.858 KB) | DOI: 10.30872/eksponensial.v11i2.661

Abstract

Cokriging is the interpolation method of value of an unsampled data by minimizing the variance of the estimation error by utilizing cross correlations between the main variable and the additional variable. This study aims to estimate the chloride content in the Mahakam River in Samarinda by using the cokriging method. The data of this study are spatial data that consists of the main variable data is chloride content and additional variable data is the pH of the water, as well as the coordinates of the observation location. Semivariogram (matrix covariance) is determined based on the best model, namely theoretical semivariogram. The best theoretical semivariogram model for cross variables is the exponential model, while the best theoretical semivariogram model for the main variable and additional variables are the spherical model. The selected theoretical semivariogram model was used to determine the semivariogram matrix in estimating chloride content in IPA Bantuas and Teluk Lerong. The results of estimation of chloride content in IPA Bantuas and Teluk Lerong are 1.91 mg/l and 1.64 mg/l. Based on the estimated chloride content in IPA Bantuas and in Teluk Lerong, it shows that the chloride content is still below the maximum threshold and meets the water chloride content standard for consumption by the Ministry of Health of the Republic of Indonesia, which is a maximum of 250 mg/l.
Penerapan Model Mixed Geographically Weighted Regression dengan Fungsi Pembobot Adaptive Tricube pada IPM 30 Kabupaten/Kota di Provinsi Kalimantan Timur, Kalimantan Tengah dan Kalimantan Selatan Tahun 2016 Safitri, Ranita Nur; Suyitno, Suyitno; Hayati, Memi Nor
EKSPONENSIAL Vol. 11 No. 2 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (792.631 KB) | DOI: 10.30872/eksponensial.v11i2.651

Abstract

Mixed Geographically Weighted Regression (MGWR) model is a Geographically Weighted Regression (GWR) model which has global (equal value) and local (inequal value) parameters at every different observation location. The goal of this study is to obtain MGWR model of the Human Development Index (HDI) data and find out significant factors influencing the HDI in each district (city) East Kalimantan, Central Kalimantan and South Kalimantan province in 2016. Parameter estimation method is conducted in two stages namely local parameter estimation and global parameter estimation. Local parameter estimation method is Maximum Likelihood Estimation (MLE), with spatial weighting is calculated by adaptive tricube weighting function and optimum bandwidth determination uses the Akaike Information Criteria (AIC). Global parameter estimation method is Ordinary Least Square (OLS). Based on the result of MGWR parameter testing, it was concluded that the school enrollment rates (SMP) and poor people percentage affected the HDI of 30 districts (cities) in East Kalimantan, Central Kalimantan and South Kalimantan. Meanwhile the population density affected the HDI of two districts namely HDI of Samarinda and Bontang.
Upaya Pencegahan Pencemaran Air Sungai Mahakam melalui Pemodelan Geographically Weighted Logistic Regression pada Data BOD Inayah, Ulfah Resti; 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 (830.508 KB) | DOI: 10.30872/eksponensial.v12i1.755

Abstract

Since the early years, Mahakam River has important roles in supporting human needs in East Kalimantan province. Activities around Mahakam watershed such as restaurants, fishery, and industries were in the potential of generating waste around the flow area. The waste consisted of domestic and nondomestic waste. The waste was a threat to the Mahakam River water quality. Water pollution around the Mahakam River was a threat to public health, and therefore, there’s a need for precaution. One of the precautions is to give the public information regarding the factors that influence the chances of polluted water in the Mahakam River increased through logistic regression modeling. One way to detect water pollution is to indicate by using Biochemical Oxygen Demand (BOD). BOD data was suspected spatial, therefore the appropriate statistical modeling is Geographically Weighted Logistic Regression (GWLR). GWLR is a regression model that developed from a logistic regression in which parameter estimation is done locally at every observation location. The purpose of the research is to determine the GWLR model on the BOD data of Mahakam River and to find out the factors that influence water pollution at 27 observation points along with the Mahakam River flow. The parameter estimation method is the Maximum Likelihood Estimation (MLE). The spatial weighting is calculated by using the Adaptive Bisquare weighting function and the optimum bandwidth is determined by using Generalized Cross-Validation (GCV) criteria. Research shows that the closed-form of the Maximum Likelihood estimator can’t be obtained analytically and the approximation is obtained by using Newton-Raphson (N-R) iterative method. Based on parameter testing of the GWLR model result, it was concluded that the factors were influences the probability of Mahakam River water were polluted based on the BOD indicator was locally and different in each 27 observation locations. The factors that influence locally were water temperature, acidity, Total Dissolved Solids (TDS), ammonia concentration, and water debit, meanwhile, the factors which influence globally were acidity and TDS.
Model Regresi Weibull Pada Data Kontinu yang Diklasifikasikan: Studi Kasus: Indikator Pencemaran Air BOD di DAS Mahakam Tahun 2016 Panduwinata, Hesty Dwiyugo; Suyitno, Suyitno; Huda, Moh. Nurul
EKSPONENSIAL Vol. 13 No. 2 (2022)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (765.081 KB) | DOI: 10.30872/eksponensial.v13i2.1051

Abstract

Weibull Regression is a model of regression developed from Weibull distribution in which scale parameter is expressed in the regression parameters. The Weibull regression models discussed in this study are the Weibull survival regression, Weibull hazard regression and regression model for the mean. The Weibull survival regression model is a model of the probability that the Mahakam River water is polluted. The Weibull hazard regression model is a model of velocity of the polluted Mahakam River water, and the Weibull regression for the mean is the model used to predict the average value of BOD (Biochemical Oxygen Demand). The purpose of this study was to obtain the Weibull regression model on BOD water pollution indicator data in the Mahakam River basin, to determine the factors that influence the Weibull regression model. The parameter method is maximum likelihood estimation (MLE). Based on the parameter estimation results, the maximum likelihood estimator is obtained by using the method of Newton-Raphson iteration. The results of hypothesis testing, it is concluded that the factors that influence the Weibull regression model are pH, Total Dissolved Solid (TDS) and water discharge.
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.
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 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