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Pemodelan Jumlah Kasus Tuberkulosis Paru di Indonesia dengan Geographically Weighted Negative Binomial Regression Putri, Ditha Reginna; Fathurahman, M.; Suyitno, Suyitno
EKSPONENSIAL Vol. 15 No. 1 (2024): Jurnal Eksponensial
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v15i1.1303

Abstract

Geographically Weighted Negative Binomial Regression (GWNBR) model is the development of Negative Binomial Regression (NBR) model applied to spatial data. The parameter estimation of GWNBR model is performed at each observation location using spatial weighting. The purpose of this study is to determine the GWNBR model of the number of pulmonary tuberculosis cases in Indonesia in 2021 and determine the factors that influence pulmonary tuberculosis cases in Indonesia in 2021. The research data are secondary data obtained from the Indonesian Ministry of Health and Indonesian Central Agency on Statistics. Parameter estimation method is Maximum Likelihood Estimation (MLE). Spatial weighting is calculated by using the Adaptive bi-square weighting function and the optimum bandwidth is determined by using the Cross-Validation (CV). 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 GWNBR 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 population density, the percentage of districts/cities implementing GERMAS, and number of hospitals.
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.
Pemodelan Regresi Weibull Pada Data Kontinu Yang Diklasifikasikan (Studi kasus: Data Indikator Pencemaran Air Dissolved Oxygen Pada DAS Mahakam Kalimantan Timur Tahun 2020) Sudarman, Alfiannur Rizki; Suyitno, Suyitno; Siringoringo, Meiliyani
EKSPONENSIAL Vol. 14 No. 1 (2023)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/eksponensial.v14i1.993

Abstract

Weibull regression model is a Weibull distribution that is directly influenced by covariates. Weibull regression models discussed in this study are Weibull survival regression model, Weibull hazard regression, and Weibull mean regression. The Weibull regression model in this study was applied to water pollution indicator of dissolved oxygen (DO) data in the Mahakam watershed of East Kalimantan in 2020. The purpose of this study was to obtain a Weibull regression model for water pollution indicator of DO data, to obtain the factors that influence the Weibull regression model, and to interpretation the Weibull regression model of water pollution indicator of DO data. The study’s result is that the Newton-Raphson iterative approach was used to find the approximate of maximum likelihood estimator. Based on the hypothesis testing, it is concluded the factors that influence the water pollution indicator of DO data the Mahakam watershed in 2020 are total suspended solid (TSS), total dissolved solid (TDS), nitrate and ammonia.
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.
Upaya Meningkatkan Lingkungan Belajar yang Berkualitas Melalui Program Kampus Mengajar 7 pada SMP NU Al Hidayah Lamongan Suyitno, Suyitno; Emilia, Nazwa Putri; Istiqomah, Hidayatul; Utami, Sisilia Tri; Sa’adah, Lailatus; Lestari, Nur Awalin Sri Puji
Jurnal Abdidas Vol. 5 No. 3 (2024): June, Pages 97 - 300
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdidas.v5i3.944

Abstract

Pendidikan yang berkualitas merupakan pilar utama dalam membangun sumber daya manusia yang kompeten dan berdaya saing. Program Kampus Mengajar angkatan 7 merupakan inisiatif strategis dalam merevitalisasi pendidikan di Indonesia, khususnya di SMP NU Al-Hidayah, Lamongan. Seluruh mengimplementasikan program tersebut untuk meningkatkan literasi, numerasi, serta adaptasi teknologi guna menciptakan lingkungan belajar yang kondusif. Dengan pendekatan partisipatif melalui observasi, wawancara, dan dokumentasi, pengabdian ini melaksanakan sejumlah program seperti "Read 10 Minutes", "Jurnal Literasi", "Numeracy Games", pelatihan Microsoft Office, dan Canva. Hasil kegiatan menunjukkan peningkatan signifikan dalam minat baca, pemahaman bacaan, keterampilan menulis, antusiasme belajar matematika, serta penguasaan teknologi di kalangan siswa. Selain itu, inisiatif lingkungan, perubahan iklim, dan program moral turut meningkatkan kesadaran siswa. Program Kampus Mengajar menegaskan bahwa pendekatan inovatif dalam revitalisasi pendidikan dapat meningkatkan kualitas pembelajaran dan menciptakan lingkungan belajar yang lebih kondusif. Hasil tersebut memperkuat peran strategis Program Kampus Mengajar dalam memajukan pendidikan, terutama di wilayah tertinggal yang memiliki keterbatasan sumber daya.
Characterization of UHMWPE/PEG Filament and Its Solid Form after 3D-Printing with Fused Filament Fabrication Arifvianto, Budi; Abdullah, Muhammad J.Q.; Dharmastiti, Rini; Suyitno, Suyitno; Salim, Urip A.; Mahardika, Muslim
Journal of Fibers and Polymer Composites Vol. 3 No. 1 (2024): Journal of Fibers and Polymer Composites
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jfpc.v3i1.140

Abstract

In recent decades, ultra-high molecular weight polyethylene (UHMWPE) has gained recognition and widespread utilization as an outstanding polymeric biomaterial for load-bearing components in artificial joints. Despite its promise, this material presents challenges in processing with additive manufacturing techniques. Efforts have been underway to investigate and enhance its printability with the additive manufacturing, aiming to facilitate the production of patient-specific implants. This study aims to prepare UHMWPE-based filament through extrusion and subsequently print it with fused filament fabrication (FFF) 3-dimensional (3D) printer to create a simple rectangular sheet. Characterizations by using Fourier-transform infra-red (FTIR) spectroscopy and differential scanning calorimetry (DSC) were conducted to assess the chemical compositions and thermal properties of the UHMWPE filament and its printed forms. The findings of this research demonstrate the feasibility of printing UHMWPE filament filament within the temperature range of 200 - 240 °C. Analysis of the FTIR and DSC spectra reveals no evidence of impurities introduced during the preparation and printing processes that could alter its properties.
Co-Authors A'yun, Qonita Qurrota A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA Abda Abda Abdullah, Muhammad J.Q. Achmad Fariz Achmad, Fendi Aci Primartadi Ade Novi Nurul Ihsani ade rahmawati Adi Permadi, Adi Adi Sucipto, Adi Adi Yeremia Mamahit Adyana Sunanda Afifa, Firli Afifah, Umi Nur Agung Kurniawan Agus Aan Adriansyah Agus Suprihanto Agustianto, Rezky Agustin, Defitri Karunia Ahmad Arifuddin Ahmad Fathoni ahyar hasan Aji Saputra Aji, Satrio Budi 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 Okta Viyani Ari Widyaningrum, Ari Arief Kurniawan Arif Susanto Arisyanto, Prasena Arwini, Arwini Asep Ardiyanto Assani, Putra Harfian Atiqa Sabardila Ayu Yuliani Sekriptini Aziz, Ikhwan Azzahra, Nadhifa Bahriah, Ayu Bambang Sulanjari Bangun, Eka Uliyanti Putri Br Basuki Basuki Budi Arifvianto Burhan, Muhammad Najih Cahyani, Nabilla Regita cahyono, didik Chairina, Puspa Chana, Kieng Chasanah, Alfi Chriszia, Deyana Danardono Dwi Prija Tjahjana, Dominicus 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 Dipa Nugraha Djoko Sulaksono Dwi Jatmoko Dwi Jatmoko Dyah Suryani Edwin, Vebby Amellia Edwin, Vebby Emilia Edy Suryanto Eka Sari Setianingsih, Eka Sari Elvi Juliansyah Elvika Fit Ari Shanti Emilia, Nazwa Putri Erlyne Nadhilah Widyaningrum 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 Febrianti, Devi Ferdinand Salomo Leuwol Ferlinda, Fina Filia Prima Artharina Fuad Hilmy Fuad, Zaqiatul Ghufron Abdullah Giok Ade Surti Hairil Akbar Handoko Putro, Guruh Marhaenis Haris Abizar Hariyanto, Syahman Hartuti, Eka Putri Haryanto, Anjar Tri Hastuti , Wiwik Dwi hastuti, Nuri Hattapradit, Faron Hayati, Suci Nur Hendarwati, Emy Khairil Heni Rusmitasari Heri, Mochamad Herlambang, Nizar Raditya Herminarto Sofyan Hesti Respatiningsih Hidayah, Yayuk Hidayah, Yayuk Hidayanty, Nurul Ilma Hidayat, Ryan Hidayatullah, Rizqy Himmah, Jazilatul Husni Wakhyudin Hutri Handayani Isra Ibnu Maliq, Muhamad Noa Ibnu Siswanto Ida Ayu Putu Sri Widnyani Ida Nugroho Saputro Ihsan Ihsan Ihsani, Muhammad Fauzan Ika Purnamasari Ikha Listyarini Ilham Azmy Imriani Idrus Imron Arifin Inayah, Ulfah Resti Indah Damayanti, Indah Indah Eges Wahyuni 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 Jeki Mediantari Wahyu Wibawanti Jiwon, Han Jiwon, Lee Joleha, Siti Karima, Nabila Al KARIMAH, NURUL Kartika Kartika Kartika Putri, Riva Wahyu Kenfitria Diah Wijayanti Khamidi , Amrozi Kharisma 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 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 Masrifah, Masrifah Masruri, Deden Massus Subekti Maydifika, Annisa Noer Mei Fita Asri Untari Meisuri Memi Nor Hayati Menik Darmiati Mila Karmila Minho, Kim Mira Azizah Mochammad Imron Awalludin Moh. Nurul Huda, Moh. Nurul Mohamad Muqoffa Mohammad Wildan Habibi, Mohammad Wildan Monantun, Readysal Mudzanatun Mudzanatun Muh. Irfan MUHAMAD SHOLEH Muhammad Arief Budiman Muhammad Nawawi Muhammad Nurtanto Muhammad Yuhendri Mulia, Ratna Diva Tri Mumtaz, Ghina Fadhilla Muplihah, Siti Murry Harmawan Saputra Murry Harmawan Saputra Murry Harmawan Saputra Muslim Mahardika Musmirani, Musmirani Musparlin Halid Mutohhari, Farid Nabila, Pravita Hasna Nafi’, Zahrotun Nanda Arista Rizki Nariza Wanti Wulan Sari Nasirudin, Ahmad Nasrun Balulu Negari, Anita Siwi Ngatmini Ngatmini Ngurah Ayu Nyoman Murniati Nikmatus Sa’adah 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 Nurhikmah Sasna Junaidi Sasna Junaidi, Nurhikmah Sasna Junaidi Sasna Nurida, Siti Nurjanah, Qonita Nurkadri, Nurkadri Nurkhasanah, Aprilia Dewi Nurmayanti, Wiwit Pura NURUL ARIFAH Nurwahyuningsih, Sri Nuur Wachid Abdul Majid Nuviyah, Yeti Pamungkas, Sendy Panduwinata, Hesty Dwiyugo Pangruruk , Thesya Atarezcha Pangruruk Pardjono, P. Pawenang, Denta Kesdik Poncowati, Srikandi Dwi Pradipa, Zalva Pramono Pramono Pratama, Arjun Pratamasari, Rossy Pratiwi, Nadya Prayitno, Mohkamad Dimas Prayogo, Anom Primadigna, Ullimaz Sam Puji Astuti, Endah Purboasri, Galih Dwi Puspitasari, Ratna Nisrina Putra, Eko Prasatyo Putri, Ditha Reginna Putriani, Ida Putu Sudira Putu Sudira R. Soekrisno Rachmanto, Rendy Adhi Raden Mohamad Herdian Bhakti Rahardyanto, Rivaldy Rahim, Abd Rahmah, Marisa Silvia Rahmah, Siti Mahmudatur Rahmah, Ummu Habibah RAHMAT GUNAWAN Rahmat Rahmat 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 Rostianingsih, Dewi RR. Ella Evrita Hestiandari S, Jihan Amalia 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 Saputra, Singgih Maulana Wira Adi 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 Siantar, Rupdi Lumban Siddiq, Mochammad Baharudin Sidik, Jafar Sifriyani, Sifriyani Sigit Iswahyudi Sigit Mujiarto Silotika, Imas Silviana, Rifqi Singgih Adhi Prasetyo, Singgih Singgih Dwi Prasetyo Siregar, Renince Siringoringo, Meiliyani Siswo Pranoto SITI MAHMUDAH Siti Roudhotul Jannah, Siti Roudhotul Slamet Mulyono Slamet Riyadi Slamet Supriyadi 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 Sunarti Supiyandi Supiyandi Supriatin Supriatin, Supriatin Suprihatin, Catur Ernawati Supriyanto, Andi Surahman, Wahyu Tri Suroto Suroto Susi Widjajani Sutiman Sutiman Sutiman Sutiman, Sutiman Sutiyoko Sutiyoko, Sutiyoko Suyadi Suyadi Syahep, Egidya Syahputra, Darma Reza Syakirun Syakirun Syamsul Hadi Syarofa, Najwa Taib, Suryani Tantrakarnapa, Kraichat Tati Suryati Taufiq Harris Teten Tresnawan Thohirin, Ahmad Tiara Aninditha Totok Eka Suharto Tri Sunarsih Tuatul Mahfud Tukiyo, Intan Wahyuni Ubaidillah Ubaidillah ulyana, ulyana Usman Sambiri Usmiyatun Usmiyatun Utami, Riska Putri Utami, Sisilia Tri Vann, Rithy Veryliana Purnamasari, Veryliana Viktor Malau Wadjdi, Faried Wahyuni , Tutik Wahyuni, Denik Putri Wahyuningsih, Yulie Wardani, Decyta Khasuma Wardani, Ella Kusuma Wardani, Yulia Fatma Wardoyo, Christianus Pigun Warisman Warisman WARJU Wasono, Wasono Wibawa Endra Juwana, Wibawa Endra Wibawanti, Jeki Mediantari Wahyu Wibisono, Salsa Alifianti Wicaksana, Yoga Wicaksono, Bagus Koko Widia Sinaga, Tanti Widiyatmoko Widyani Rahman, Chintya Widyaningsih, Wiwit Widyastuti, Talita Erina Tri Winarni Winarni Winarto Winarto Wisnu Wardana, Aris Wiwit Desi Intarti Yahya, Syahril Maula Yayu Angriani Yosep Efendi Yosohartono, Aloysius Yohanes Soegeng Ysh., A. Y. Soegeng Yuki Novia Nasution, Yuki Novia Yuli Widiyono Yulianti & Ninik Indawati Hartatik Yulianto, Ari Tejo Yulianto, Aris Yuliatin, Diah Yuna, Jung Yuniarti, Desi Yunus, Mohd Yusri Bin Kamin Zafitra, Rahma Zahidah Ab-Latif Zahria, Linta Zainal Arifin Zulfa, Maulida Indana