Coronavirus Disease 2019 (COVID-19) is a new coronavirus that was discovered in Wuhan, China, at the end of 2019. In March 2020, the outbreak extended throughout the world, including Indonesia and one of its provinces, South Kalimantan. This rapid expansion should belinked to people’s mobility between regions, hence the linkage across regions must be examined. In South Kalimantan Province, the purpose of this research is to evaluate the distribution and relationship across regions in terms of the number of positive COVID-19 cases, the number of additional positive COVID-19 cases, and the number of COVID-19 patients under treatment. The spatial autocorrelation analysis with the Moran Index and Local Indicator of Spatial Autocorrelation (LISA) tests were used to determine the spatial autocorrelation between what and what using what data/where the data obtained? from March 22 to September 30, 2020. Based on the results of the Moran Index test, it is known that there is a spatial autocorrelation in the number of cases, the number of additional cases and the number of positive confirmed COVID-19 patients in treatment between one region and another neighboring area. While the results of the LISA Index test show that Balangan Regency, Hulu Sungai Tengah Regency, Hulu Sungai Utara Regency, Banjarmasin City, Tabalong Regency and Banjar Regency affect the level of COVID-19 cases in their respective neighboring areas. Therefore, there is a need for policies to control community mobility in those spatially correlated areas and increase testing and tracing to control the spread of COVID-19 cases in South Kalimantan Province.

Pengklasifikasian merupakan salah satu metode statistik dalam mengelompokkan suatu data yang disusun secara sistematis. Pengklasifikasian sering dijumpai dalam kehidupan sehari-hari, contohnya pengklasifikasian data pada bidang akademik, pada bidang sosial, pada bidang ekonomi dan pada bidang lainnya. Salah satu alat statistika untuk klasifikasi adalah model Regresi Logistik Multinomial. Tujuan dari penelitian ini adalah menerapkan metode Regresi Logistik multinomial untuk mengetahui kesesuaian pemilihan program studi pada mahasiswa FMIPA Universitas Lambung Mangkurat dengan variabel yang berpengaruh adalah Nilai UN Mahasiswa pada saat di Sekolah Menengah, Nilai Semester 1 Mahasiswa, Asal Sekolah dan Asal Daerah Mahasiswa. Metode penelitian yang digunakan bersifat studi literatur dan menguji data Mahasiswa Fakultas MIPA Universitas Lambung Mangkurat angkatan 2011-2014. Hasil dari penelitian ini adalah metode Regresi Logistik Multinomial dapat digunakan untuk klasifikasi kesesuaian dalam memilih program studi. Pada tingkat kepercayaan 90% dari 10 (sepuluh) variabel bebas yang digunakan terdapat 5 (lima) variabel yang mampu menjadi faktor yang berpengaruh yaitu Nilai Kalkulus 1, Nilai Biologi Umum, Nilai Fisika Dasar, Nilai Kimia Dasar dan Asal Sekolah Mahasiswa dan Pada tingkat kepercayaan 95% terdapat 3 (tiga) variabel yang mampu menjadi faktor yang berpengaruh yaitu Nilai Kalkulus 1, Nilai Biologi Umum dan Nilai Kimia Dasar. Kesesuaian Pemilihan Program Studi yang tertinggi terdapat pada Program Studi Fisika yaitu sebanyak 70% dan yang terendah terdapat pada Program Studi Biologi yaitu sebanyak 34,4%.Kata kunci: Klasifikasi, Regresi Logistik Multinomial, Program Studi

A life insurance contract contains the amount of funds that must be paid by insured as a responsibility for a received compensation. There funds are called as premium. Payment of the premium which paid with one payment at the beginning of the contract time called as net single premium. One factor that influenced the calculation of life insurance premiums is a life probability. In general, a life probability constructed by the assumption that death only involves two conditions, life and death. Yet, there are another condition for the insured that also affect a person’s death condition which is sick. The objecktive of this research is to determine net single premium of term life insurance formula using transition probability as a life probability. The first will constructed transition from three condition which are health, sick, and death as stochastic process. Transition probability will be determined by solving Chapman Kolmogorov system differential equation. Then the probability transition that determined will be used for calculate net single premium from term life insurance. Net single premium will be determined by using expectation value of present value of benefit random variables. From this research get formula of net single premium of term life insurance contains discount function, transition probability, and force of mortality of someone.

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