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This study developed a new method of hypothesis testing of model conformity between truncated spline nonparametric regression influenced by spatial heterogeneity and truncated spline nonparametric regression. This hypothesis test aims to determine the most appropriate model used in the analysis of spatial data. The test statistic for model conformity hypothesis testing was constructed based on the likelihood ratio of the parameter set under H0 whose components consisted of parameters that were not influenced by the geographical factor and the set under the population parameter whose components consisted of parameters influenced by the geographical factor. We have proven the distribution of test statistics V and verified that each of the numerators and denominators in the statistic test V followed a distribution of χ2. Since there was a symmetric and idempotent matrix S, it could be proved that Y~TS  Y~/σ2~χn-lm-12. Matrix Dui,vi was positive semidefinite and contained weighting matrix Wui,vi which had different values in every location; therefore matrix Dui,vi was not idempotent. If Y~TDui,viY~≥0 and Dui,vi was not idempotent and also Y~ was a N0,I distributed random vector, then there were constants k and r; hence Y~TDui,viY~~kχr2; therefore it was concluded that test statistic V followed an F distribution. The modeling is implemented to find factors that influence the unemployment rate in 38 areas in Java in Indonesia.

This study proposes a novel approach that investigates the dynamic dependency among exchange rates by extending time-varying copulas' parameters following an autoregressive moving average (ARMA) process. The process consists of an autoregressive part that explains the effect of the previous parameters and a forcing variable that measures the dependence structure between marginal variables. We apply this model to the daily data of the exchange rates of five Asian countries with the strongest economies before and during the 2020 pandemic, namely CNY/USD, IDR/USD, INR/USD, JPY/USD, and KRW/USD. The ARIMA-GARCH model was used to model the exchange rates data and estimate the dynamic dependence using time-varying copulas with the extended parameters. The dynamic dependencies between Chinas and the four countries' exchange rates before and during the 2020 pandemic was evidenced. Moreover, India is the country whose exchange rate has been most strongly affected by the pandemic. Some of the highlights of the proposed approach are: This paper provides two algorithms to investigate the dynamic dependencies among exchange rates data during a crisis and forecast the data using time-varying copulas with the extended parameters. There are four extended time-varying copulas' parameters which can measure the dynamic dependencies between variables. The computation procedure is easy to implement.

Tujuan Penelitian ini untuk menguji Efek Mediasi Literasi keuangan Terhadap hubungan antara kualitas pembelajaran keuangan dengan keputusan investasi.Metode penelitian ini menggunakan pendekatan penelitian kuantitatif, bersifat deskriptif verifikatif. Sampel penelitian ini sebanyak 93 maasiswa yang telah mengikuti literasi keuangan, teknik sampling menggunakan purposive simple random sampling. Untuk menguji Efek Mediasi menggunakan Bootstrapping approach dengan bantuan SPSS versi 25 dan Process V3.4.Hasil penelitian menunjukkan bahwa bahwa Literasi Keuangan (LK) memediasi secara penuh pengaruh Kualitas Pembelajaran Keuangan (KPK) terhadap Keputusan Investasi (KI). Pentingnya meningkatkan literasi keuangan (LK) melalui pembelajaran keuangan pada lingkungan perguruan tinggi, sehingga diharapkan dapat melakukan pengelolaan konsumsi, simpanan, dan perencanaan keuangan dengan baik yang pada akhirnya akan tercipta kesejahteraan hidupnya, hal ini menjadi pendorong bagi kemajuan pembangunan ekonomi.

Pandemi Covid-19 yang terjadi di Indonesia, sungguh memberikan dampak yang cukup besar terhadap beberapa sendi kehidupan masyarakat, terutama pada sektor perekonomian, terutama UMKM.Masalah-masalah yang dihadapi UMKM tidak hanya membutuhkan campur tangan Pemerintah, tapi juga pihak lain, diantaranya Perguruan Tinggi. Tim PKM Politeknik Piksi Ganesha melalui Pelatihan Pemanfaatan Media Sosial berusaha untuk turut serta membantu meningkatkan wawasan, pengetahuan dan keterampilan UMKM Dapur Kefir dalam melakukan promosi menggunakan platform Media Sosial Instagram sehingga diharapkan produk yang dihasilkan lebih dikenal oleh masyarakat sebagai konsumen, karena selain akan membantu UMKM dan masyarakat sekitar, Kefir juga terbukti sebagai nutrisi tambahan untuk bertahan dari virus Covid-19.Pelatihan berjalan dengan baik, walaupun pertemuan dan kontak langsung dibatasi. Beberapa rekomendasi bagi UMKM adalah: UMKM Dapur Kefir harus segera mengurus kelengkapan legalitas usaha, memiliki website resmi dan mendapatkan pelatihan fotografi dan membuat konten yang menarik sehingga bisa meningkatkan nilai promosi dan menggunakan media promosi lain.