Bengkulu Province, Indonesia, which lies in two active faults, Semangko fault and Mentawai fault, is an area that has high seismic activity. As earthquake-prone area, the characteristic of each earthquake in Bengkulu Province needs to be studied. This paper presents the earthquake epicenter clustering in Bengkulu Province. Tectonic earthquake data at Bengkulu Province and surrounding areas from January 1970 to December 2015 are used. The data is taken from single-station Agency Meteorology, Climatology and Geophysics (BMKG) Kepahiang Bengkulu. K-Means clustering using Euclidean distance method is used in this analysis. The variables are latitude, longitude and magnitude. The optimum number of cluster is determined using Krzanowski and Lai (KL) index which is 7. The analysis for each clustering experiment with variation number of cluster is presented.
A graph G is called (a, b)-cycle books B[(Ca, m), (Cb, n), Pt] if G consists of m cycles Ca and n cycles Cb with a common path Pt. In this article we show that the (7, 3)-cycle books B[(C7, 1), (C3, n), P2] admits edge-magic total labeling. In addition we prove that (a, 3)-cycle books B[(Ca, 1), (C3, n), P2] admits super edge-magic total labeling for a = 7 and extends the values of a to 4x − 1 for any positive integer x. Moreover we prove that the (7, 3)-cycle books B[(C7, 2), (C3, n), P2] admits super edge-magic total labeling.
The main objective of this research is to model poverty in Bengkulu Province using small area estimation (SAE) with semiparametric penalized spline (P-Spline). Small area estimation is a statistical method that is often used to obtain an accurate information about poverty. When the linearity assumption on the basic SAE model is violated, a nonparametric approach is used as an alternative. One is the semiparametric  penalized spline. The small area  method with semiparametric approach has a more flexible model because it accommodates the relationship between response with linear and nonlinear predictors. In this study, poverty modeling in Bengkulu Province was based on average per capita expenditure through the estimation of SAE model parameters using semiparametric P-Spline to obtain a mixed-effect model regression equation as a poverty model. Based on the analysis result, the poverty model in Bengkulu Province is P-Spline linear model with one knot. This model has a GCV value of 148928361265.95. Poverty mapping in Bengkulu Province based on sample villages indicates the estimation of poverty using SAE model with P-Spline having the same trend with the direct estimator.
Kebersihan lingkungan pantai menjadi salah satu hal penting agar pantai menjadi menarik di mata para pengunjung atau wisatawan. Namun, di pantai panjang kota bengkulu masih ditemukan sampah-sampah bertebaran. Sampah-sampah tersebut berasal dari limbah rumah tangga dan juga aktivitas pengunjung di pantai. Untuk menanggulangi hal tersebut salah satu kegiatan yang dapat dilakukan oleh mahasiswa dan dosen adalah dengan melakukan gerakan lingkungan bersih dan asri. Tujuan kegiatan ini adalah untuk mengurangi sampah-sampah yang berserakan dan menimbulkan rasa peduli lingkungan. Berdasarkan kegiatan yang dilakukan dapat dilihat mahasiswa dan beberapa masyarakat setempat sangat antusias berpartisipasi dalam kegiatan.
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