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Perbandingan Power of Test dari Uji Normalitas Metode Bayesian, Uji Shapiro-Wilk, Uji Cramer-von Mises, dan Uji Anderson-Darling Rini, Dyah Setyo; Faisal, Fachri
GRADIEN : Jurnal Ilmiah MIPA Vol 11, No 2 (2015): (Juli 2015)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (103.42 KB)

Pelanggaran terhadap asumsi kenormalan dalam suatu prosedur statistika akan memberikan kesimpulan hasil yang diperoleh menjadi tidak valid. Tulisan ini akan membahas tentang perbandingan uji normalitas metode Bayesian, Uji Shapiro-Wilk, Uji Cramer-von Mises, dan Uji Anderson-Darling berdasarkan nilai power of test dari masing-masing uji. Power of test dari masing-masing uji diperoleh dari power empiris melalui simulasi data. Data simulasi dibangkitkan dari distribusi t-student, gamma, chi-square, dan beta. Ukuran sampel data yang digunakan dalam simulasi adalah 10, 20, 30, 40, dan 50. Berdasarkan simulasi data, uji normalitas metode Bayesian MTn Â lebih powerful apabila dibandingkan dengan uji Shapiro-Wilk (W), uji Cramer-von Mises (Wn2), dan uji Anderson-Darling (An2) untuk data yang berdistribusi t-student dengan derajat bebas 5 dan 10, Gamma (5), chi-square derajat bebas 20. Hal tersebut juga berlaku untuk sampel berukuran kecil. Performa dari uji normalitas metode Bayesian lebih lemah dari pada uji Shapiro-Wilk dalam menguji normalitas yang berasal dari sampel berdistribusi Beta, B(a,b), dengan a=0,8 dan 1,5 ; b=0,8 dan 0,9.Â Kata Kunci: power empiris, simulasi data, uji normalitas

PELATIHAN MENGELOLA DAFTAR PUSTAKA MENGGUNAKAN APLIKASI MENDELEY PADA MUSYAWARAH GURU MATA PELAJARAN (MGMP) BAHASA INDONESIA SMA/SMK KOTA BENGKULU Yanti, Nafri; Setiawan, Yudi; Rini, Dyah Setyo
Jurnal Berdaya Mandiri Vol 2, No 1 (2020): Jurnal Berdaya Mandiri (JBM)
Publisher : Universitas PGRI Yogyakarta

The Mendeley application training at the MGMP Bahasa Indonesia SMA/SMK in Bengkulu City aims to improve the knowledge and skills of the teacher using the Mendeley application, as well as facilitate management and library writing. This activity is carried out using several methods, namely observation/monitoring, interviews, and questionnaires. The results of this training activity can be used as one of the learning media for the preparation of bibliography, so this activity is not only useful for teachers, but also students taught by teachers in their respective work units. In addition, this activity can increase the ability of teachers to write scientific articles, especially in compiling and managing bibliography. Based on the data, this training adds to the insights of teachers in managing libraries and is able to apply this application in teaching and learning in their respective schools.

PELATIHAN LITERASI STATISTIK BERBASIS HOTS DI SMA NEGERI 8 KOTA BENGKULU Rini, Dyah Setyo; Novianti, Pepi; Sriliana, Idhia
Jurnal Berdaya Mandiri Vol 2, No 2 (2020): Jurnal Berdaya Mandiri (JBM)
Publisher : Universitas PGRI Yogyakarta

The era of the industrial revolution 4.0 or the era of disruption requires new literacy which includes data literacy, technological literacy and human literacy. HOTS-based statistical literacy training at SMA Negeri 8 Bengkulu City aims to foster and guide Class XII students in understanding and analyzing HOTS-based statistical literacy. The method used to achieve these objectives is coaching and training. The results obtained based on this activity are the coaching and training conducted that gives positive results and significantly influences students' knowledge and abilities regarding Statistics Literacy. In addition, students get an overview of statistical data understanding that is very important and continues to grow in the revolutionary 4.0 era.

PERAN JURU TIMBANG DALAM PENINGKATAN KUALITAS PELAYANAN KEMETROLOGIAN DI PASAR TRADISIONAL KABUPATEN PROBOLINGGO Rini, Dyah Setyo; Natsir, Mohammad
MAP (Jurnal Manajemen dan Administrasi Publik) Vol 6 No 4 (2023): MAP (Jurnal Manajemen dan Administrasi Publik)
Publisher : Program Pascasarjana Universitas Wijaya Putra Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37504/map.v6i4.574

ABSTRACT This study aims to find out how the role of Juru Timbang is in improving the quality of metrological services in traditional markets and to identify what factors support and hinder the implementation of the role of Juru Timbang. The research method used in this research is a quantitative descriptive method. By using a sample obtained from a population consisting of Juru Timbang, customer, market coordinators, and metrological service officers. while the data collection technique is in the form of primary data obtained from questionnaires and secondary data from report documents at UPT Legal Metrology Probolinggo Regency. The results of this study indicate that the role of Juru Timbang in Probolinggo Regency has been running very well and has made a good contribution to improving metrological services in traditional markets, although there are several things that need attention, namely related to the Juru Timbang expertise in testing measuring instruments and the speed of Juru Timbang in responding to complaints Customer.

PEMANFAATAN PLATFORM BUDI (BUKU DIGITAL) KEMDIKBUD SEBAGAI UPAYA PENGUATAN GERAKAN LITERASI Yanti, Nafri; Arono, Arono; Rini, Dyah Setyo; Hiasa, Fina; Eka Chandra Wardana, Dian; Dwi Putri, Malia
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 7, No 12 (2024): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v7i12.5477-5482

Kegiatan ini bertujuan untuk meningkatkan minat baca dan literasi anak-anak di Desa Rindu Hati dengan memanfaatkan platform BUDI (Buku Digital) Kemdikbud. Metode yang digunakan adalah pendampingan untuk membentuk komunitas literasi di desa tersebut, dengan tahapan kegiatan meliputi persiapan, pelaksanaan, dan evaluasi. Hasil kegiatan menunjukkan bahwa anak-anak Desa Rindu Hati mampu memahami dan menjawab pertanyaan dari cerita yang diambil dari platform BUDI, menunjukkan peningkatan kemampuan literasi dan berpikir kritis. Kegiatan ini mendapat dukungan positif dari perangkat desa dan antusiasme tinggi dari anak-anak, yang sangat terlibat dalam setiap sesi. Warga desa juga berharap kegiatan serupa dapat sering dilakukan di masa mendatang untuk terus mendorong minat baca dan meningkatkan kualitas sumber daya manusia di desa. Kesimpulannya, pemanfaatan platform BUDI Kemdikbud berhasil meningkatkan literasi anak-anak Desa Rindu Hati dan memberikan dampak positif jangka panjang. Disarankan untuk meningkatkan frekuensi kegiatan, melibatkan lebih banyak pihak, mengembangkan konten yang lebih bervariasi, dan meningkatkan aksesibilitas terhadap teknologi untuk memperkuat gerakan literasi di masa mendatang.

ANALYSIS OF THE EXISTENCE OF THE AGRICULTURAL SECTOR IN MODELING POVERTY IN BENGKULU PROVINCE USING GAUSSIAN COPULA MARGINAL REGRESSION Nugroho, Sigit; Rini, Dyah Setyo; Novianti, Pepi; Crisdianto, Riki; Karuna, Elisabeth Evelin; Fairuzindah, Athaya
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp1251-1262

Bengkulu Province ranks second in the category of the highest percentage of poor people in the Sumatra region, at 14.62% in March 2022, and sixth in Indonesia, which is undoubtedly one of the fundamental problems that requires mutual attention. The phenomenon of high poverty in Bengkulu Province is inseparable from the lives of people whose main livelihood is in the agricultural sector, especially tenant farmers. Therefore, in this study, the Copula and Gaussian Copula Marginal Regression (GCMR) methods are applied to determine how the agricultural sector affects poverty in Bengkulu Province using secondary data obtained from the Bengkulu Provincial Statistics Agency (Susenas 2022). The results show that the Copula model can identify various types of dependency between the number of poor households in each district/city in Bengkulu Province in 2022 and each of the variables, namely the Number of Agricultural Business Households , the Growth Rate of the Agricultural Sector , the Human Development Index , and the Open Unemployment Rate ( ) by considering the different characteristics of dependency such as top-tail, bottom-tail, or negative dependency. Meanwhile, the GCMR model can provide the direction of influence of the independent variables on the dependent variable Y, where it can be seen that the variables , , and have a negative influence on the variable , whie the variable has a positive impact on the variable . Therefore, in general, it can be concluded that either positive or negative dependencies identified by the Copula model can influence the resulting GCMR model by providing more profound complexity regarding the relationship between the variables analyzed.

The Disparity of Maternal and Neonatal Death Modeling in Sumatra Region Using Geographically Weighted Bivariate Negative Binomial Regression Bayubuana, Muhammad Gabdika Bayubuana; Nugroho, Sigit; Rini, Dyah Setyo; Alwansyah, Muhammad Arib
Journal of Statistics and Data Science Vol. 3 No. 2 (2024)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jsds.v3i2.41285

The Sumatra region occupies the second highest rank in terms of Maternal Mortality Rate (MMR) and Neonatal Mortality Rate (NMR) in Indonesia in 2020. Many factors are thought to have influenced these two cases, both directly and indirectly. So it is necessary to do an analysis to find out what factors influence MMR and NMR. The methods that can be used to determine these factors are Bivariate Negative Binomial Regression (BNBR) and Geographically Weighted Bivariate Negative Binomial Regression (GWBNBR). The results of the analysis show that the Deviance Information Criterion (DIC) in GWBNBR is smaller than BNBR, so GWBNBR is better than BNBR in modeling MMR and NMR in the Sumatra Region in 2020.

MODELING CLUSTERWISE LINEAR REGRESSION ON POVERTY RATE IN INDONESIA Meylisah, Eni; Rini, Dyah Setyo; Fransiska, Herlin; Agwil, Winalia; Sartono, Bagus
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1653-1662

When a person's income is so low that it cannot cover even the most basic living expenses, they are said to be poor. Data on poverty levels and hypothesized causes are used in this study. If the data pattern forms clusters, one of the regression analyses that can be used is Clusterwise Linear Regression (CLR). Therefore, this study aimed to determine the poverty rate modeling in Indonesia with the CLR method. The results showed that the best model is with 3 clusters, that for cluster 1, the factors that significantly affect the percentage of poverty are the percentage of electricity users , the number of small and micro industries and the number of tourist villages n cluster 2, the amount of village tours . In cluster 3, the percentage of users of electricity and the percentage of villages that have mining and quarrying .

SPATIAL MODELING OF POVERTY IN BENGKULU PROVINCE WITH MIXED GEOGRAPHICALLY WEIGHTED REGRESSION Nugroho, Sigit; Rini, Dyah Setyo; Jomecho, Tommy; Oktarina, Cinta Rizky; Pratiwi, Stevy Cahya; Karuna, Elisabeth Evelin
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp0759-0772

The percentage of poor people in Bengkulu Province is high from year to year. The poverty rate in Bengkulu Province also tends to fluctuate. If there is a decrease in the poverty rate, the decrease is relatively small. Poverty in the regions of Bengkulu Province also varies from district to district, subdistrict, and village to village, because poverty data is spatial data that varies regionally. The diversity of poverty data in Bengkulu Province is influenced by spatial effects, namely spatial dependency and spatial heterogeneity. Spatial dependency occurs due to spatial error correlation in cross section data, while spatial heterogeneity occurs due to random area effects, which is the difference between one region and another. Therefore, classical methods are not qualified enough to analyze the resulting diversity. This research will model the poverty of each district/city in Bengkulu Province using Mixed Geographically Weighted Regression (MGWR), because this method is quite complex in modeling data that contains spatial heterogeneity and variations in geospatial data. This modeling aims to identify and analyze poverty indicators in Bengkulu Province spatially, namely based on poverty data in each district/city in Bengkulu Province. The results showed that by using the MGWR method, the variables that locally influence the percentage of extreme poor people in each district/city in Bengkulu Province are Female Household Head Gender and not having a waterheater . Meanwhile, the variable that has a global effect on the percentage of the extreme poor in each district/city in Bengkulu Province is not having a flat screen television ().

PEMANFAATAN PLATFORM BUDI (BUKU DIGITAL) KEMDIKBUD SEBAGAI UPAYA PENGUATAN GERAKAN LITERASI Yanti, Nafri; Arono, Arono; Rini, Dyah Setyo; Hiasa, Fina; Eka Chandra Wardana, Dian; Dwi Putri, Malia
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 7, No 12 (2024): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v7i12.5477-5482

Kegiatan ini bertujuan untuk meningkatkan minat baca dan literasi anak-anak di Desa Rindu Hati dengan memanfaatkan platform BUDI (Buku Digital) Kemdikbud. Metode yang digunakan adalah pendampingan untuk membentuk komunitas literasi di desa tersebut, dengan tahapan kegiatan meliputi persiapan, pelaksanaan, dan evaluasi. Hasil kegiatan menunjukkan bahwa anak-anak Desa Rindu Hati mampu memahami dan menjawab pertanyaan dari cerita yang diambil dari platform BUDI, menunjukkan peningkatan kemampuan literasi dan berpikir kritis. Kegiatan ini mendapat dukungan positif dari perangkat desa dan antusiasme tinggi dari anak-anak, yang sangat terlibat dalam setiap sesi. Warga desa juga berharap kegiatan serupa dapat sering dilakukan di masa mendatang untuk terus mendorong minat baca dan meningkatkan kualitas sumber daya manusia di desa. Kesimpulannya, pemanfaatan platform BUDI Kemdikbud berhasil meningkatkan literasi anak-anak Desa Rindu Hati dan memberikan dampak positif jangka panjang. Disarankan untuk meningkatkan frekuensi kegiatan, melibatkan lebih banyak pihak, mengembangkan konten yang lebih bervariasi, dan meningkatkan aksesibilitas terhadap teknologi untuk memperkuat gerakan literasi di masa mendatang.

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