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Abstrak Tujuan paper ini ingin menunjukkan pemodelan determinasi indeks pembangunan manusia dengan menggunakan MWD test. Pada penelitian ini menggunakan komponen tingkat pengangguran, pendapatan per kapita dan pengeluaran pemerintah. Dalam penelitian ini menggunakan metode MWD atau uji Mackinnon, White and Davidson (MWD) untuk menentukan pemodelan determinasi indeks pembangunan manusia. Hasil penelitian ini menunjukkan bahwa pendapata per kapita mempengaruhi indeks pembangunan manusia secara signifikan. Hal ini ditunjukkan hasil dari estimasi output persamaan regresi linier yang sudah dibersihkan dari masalah autokorelasi dan heteroskedastisitas bahwa probabilitas pendapatan perkapita < 0,05. Tingkat pengangguran dan pengeluaran pemerintah tidak memiliki pengaruh yang signifikan terhadap indeks pembangunan manusia. Pemodelan terbaik yang digunakan dari metode MWD (Mackinnin, White and Davidson) test adalah model linier. Kata Kunci: ipm, pendapatan per kapita, MWD test. Abstract The purpose of this paper is to show the modeling of the determination of the human development index using the MWD test. This study uses the components of the unemployment rate, per capita income and government. In this study using the MWD method or the Mackinnon, White and Davidson (MWD) test to determine the modeling of the determination of the human development index. The results of this study indicate that income per capita affects the human development index significantly. This is indicated by the results of the estimated output of the linear regression equation that has been cleaned of autocorrelation and heteroscedasticity problems that the probability of income per capita is < 0.05. The unemployment rate and government spending do not have a significant effect on the human development index. The best modeling used from the MWD (Mackinnin, White and Davidson) test method is a linear model. Keywords: HDI, income per capita, MWD test.

The research aims to assess entrepreneurial mindset’s effect on entrepreneurial intention through psychological capital dimensions, i.e., resilience, optimism, hope, and self-efficacy. The paper develops the Theory of Planned Behavior (TPB) concept. This is a quantitative type of research using an explanatory approach. The specified population was final students of Universities at Semarang City. The sample was randomly selected by 200 respondents using Google Forms. Then, the method of data analysis applied was SEM-PLS with SmartPLS. The authors pointed out that entrepreneurial mindset significantly affects resilience, optimism, hope, and self-efficacy. Next, resilience also affects entrepreneurial intentions. Otherwise, optimism, hope, and self-efficacy do not significantly affect entrepreneurial intentions. This theoretical study’s contribution is expected to help extend the TPB concept and solve the problems related to student’s entrepreneurial intentions.

The purpose of this paper is to show the modeling of the human development index using the MWD test. This study uses the components of the unemployment rate, percapita income and government. In this study using the MWD method or the Mackinnon, White and Davidson (MWD) test to determine the modeling of the human development index. The results of this study indicate that income per capita affects the human development index significantly. This is indicated by the results of the estimated output of the linear regression equation that has been cleaned of autocorrelation and heteroscedasticity problems that the probability of income per capita is < 0.05. The unemployment rate and government spending have not a significant effect on the human development index. The best modeling used from the MWD (Mackinnin, White and Davidson) test method is a linear model.

This study aims to examine the factors that influence consumer purchasing decisions in using e-grocery applications technology. This paper using the basic theory of Extended Technology Acceptance Model (TAM) and its relationship with the development of Indonesian food security during a pandemic, where the results are expected to provide input to government to develop special policies for all parties related to the use of e-grocery applications such as farmers, fishermen, market traders, mobile vegetable traders and user communities. This study uses a quantitative method with the Partial Least Square (PLS) statistical test. The results of this study are the benefits felt by consumers from the use of e-grocery do not have a significant effect on consumer purchase intentions, while ease of use, trust and financial risk are factors that affect consumer purchase intentions in using e-grocery applications