5 research outputs found
Analysis of the Timeliness of Graduation of FMIPA College KIP Students at Bengkulu University Using Binary Logistic Regression
No full textPrevious studies that discuss the timeliness of graduating students are generally more focused on the student population as a whole, without considering the influence of specific scholarship programs such as KIP Kuliah. This study aims to obtain a model of the timeliness of student graduation and obtain factors that affect the timeliness of graduating KIP Kuliah students of FMIPA Bengkulu University using the Binary Logistic Regression method. The results of this study are expected to provide valuable information for KIP Kuliah managers of Bengkulu University in improving the effectiveness of the KIP Kuliah scholarship program and helping KIP Kuliah students of FMIPA Bengkulu University to graduate on time. In this study, Binary Logistic Regression method is used because the response variable has a nominal binary scale. Based on the results of the discussion of the research conducted, a Binary Logistic Regression model of the timeliness of graduating KIP Kuliah students of FMIPA Bengkulu University is obtained with factors that have a significant influence on the timeliness of graduating KIP Kuliah students of FMIPA Bengkulu University is the origin of the S1-Physics, S1-Biology and S1-Statistics study programs and GPA. Then the classification results using Binary Logistic Regression have a classification accuracy rate of 77.97%. So it can be concluded that the classification of the timeliness of graduating students of FMIPA Bengkulu University in the Binary Logistic Regression model is good enough
Upaya Pemanfaatan Teknologi (Program R) dalam Pengenalan Statistika di SMK Negeri 1 Kota Bengkulu
No full textPenelitian ini menyoroti rendahnya pemahaman dalam pengolahan data di kelas 12 jurusan PPLG SMKN 1 Kota Bengkulu, yang menjadi hambatan dalam pengembangan perangkat lunak dan gim. Dengan tujuan meningkatkan keseimbangan dalam pengembangan tersebut, penelitian dilakukan melalui pengenalan statistika menggunakan program R. Metode Penelitian Tindakan Kelas diterapkan dalam satu hari pada 12 September 2023, dengan pengumpulan data menggunakan kuisioner dan tes. Hasil menunjukkan bahwa 97,1% siswa menganggap program R mudah dimengerti, 100% merasa mudah digunakan untuk perhitungan statistik, 94,3% menyatakan output mudah dipahami, dan 100% siswa mampu memahami materi. Analisis data menggunakan teknik kuantitatif, dengan uji t berpasangan menunjukkan peningkatan yang signifikan (). Dengan demikian, Upaya Pemanfaatan Teknologi (Program R) dalam Pengenalan Statistika di SMK Negeri 1 Kota Bengkulu memberikan manfaat dan peningkatan pengetahuan pada taraf signifikansi 0,05
Earthquake Clustering Using the CLARA Method and Modeling Using the Inhomogeneous Spatial Cox Processes Method in the Ambon Region: Earthquake Clustering Using the CLARA Method and Modeling Using the Inhomogeneous Spatial Cox Processes Method in the Ambon Region
No full textEarthquakes are natural events whose time and place cannot be predicted. Ambon is the largest city in the Maluku Islands region and is the center of development and the capital of Maluku Province. This research will group earthquake events, analyze the characteristics of earthquake events, create earthquake zones and map them using CLARA cluster analysis, and create modeling that will look at the risk of earthquake events in a location based on distance to faults and subduction zones using the Inhomogeneous Neyman-Scott Cox Process. The data used is data on earthquake events in the Ambon region obtained from the United States Geological Survey (USGS) catalog from January 1926 to December 2022, with a depth of ≤360.1 Km and a magnitude of ≥4 Mw. Grouping earthquake events in the Ambon area using CLARA cluster analysis obtained 2 groups of earthquake clusters with an optimal silhouette score of 0.7430. The model obtained in this earthquake research is not good because it is based on the K-function value plot of the original data which is far from the modeling K-function value plot
ANALYSIS OF THE EXISTENCE OF THE AGRICULTURAL SECTOR IN MODELING POVERTY IN BENGKULU PROVINCE USING GAUSSIAN COPULA MARGINAL REGRESSION
No full textBengkulu 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
SOSIALISASI PEMBUATAN DAN PENGGUNAAN PUPUK ORGANIK DI DESA NUBAMADO LEMBATA
No full textMasyarakat Desa Nubamado, Kecamatan Nubatukan, Kabupaten Lembata, berprofesi sebagai petani ladang. Masyarakat setempat tidak memperoleh pupuk dan tidak menggunakan pupuk untuk tanaman di kebunnya. Akibatnya adalah sering mengalami penuruna produktifitas pertanian sehingga memacu masyarakat untuk berkebun ladang secara berpindah-pindah. Kebiasaan ini berpotensi menimbulkan kondisi hutan yang semakin tipis sehingga dapat menimbulkan masalah lingkungan yang lebih luas seperti ancaman kekeringan mata air. Untuk mengatasi masalah tersebut maka masyarakat Desa Nubamado diberikan sosialisasi tentang pupuk organic menyangkut cara pembuatan dan penggunaannya. Tujuan agar warga setempat dapat memiliki pengetahuan dan keterampilan membuat pupuk organic serta cara penggunaannya sebagai upaya penyediaan pupuk secara mandiri. Metode kegiatan yaitu pendidikan masyarakat. Mitra kegiatan disajikan materi tentang pupuk organik cair dan cara pembuatannya serta cara penggunaannya dan dilanjutkan dengan praktek pembuatan pupuk menggunakan komposter tumpuk. Hasil kegiatan yang dicapai yaitu mitra kegiatan menyatakan memahami materi pelatihan yang diberikan. Mitra kegiatan juga menyatakan gembira karena memperoleh pengetahuan tentang pupuk organic cair, manfaat, cara penggunaan dan mengetahui cara pembuatan menggunakan komposter tumpuk. Mitra kegiatan juga dapat melakukan praktek pembuatan pupuk organic cair secara mandiri. 
