This study aims to analyze the difference in job search duration and business preparation duration based on education level, training, job experience, marital status, age, and sex. The total unit of analysis used in this study is 51,112 individuals sourced from National Labor Force Survey (Sakernas) conducted in August 2017. This study applies the Survival Analysis with Cox Regression. The survival rate results show that unemployed people who prepare a business will get a job faster than their counterparts who are still looking for a job. Cox regression testing shows that education, training, marital status, and age have significantly affected job search duration in Indonesia. Meanwhile, education, training, and marital status have significantly influenced the period of business preparation in Indonesia.                                      Keywords: unemployment, job search duration, business preparation duration, cox regression, survival analysis Lama Mencari Kerja dan Lama Mempersiapkan Usaha: Studi Empiris Data Mikro di Indonesia Abstrak: Penelitian ini bertujuan untuk menganalisis perbedaan lama mencari kerja dan lama mempersiapkan usaha dilihat dari tingkat pendidikan, pelatihan, pengalaman kerja, status perkawinan, umur, serta jenis kelamin. Total unit analisis yang digunakan sebanyak 51.112 individu yang bersumber dari data Survei Angkatan Kerja Nasional (Sakernas) Agustus 2017. Metode analisis yang digunakan adalah Survival Analysis dengan Cox Regression. Hasil survival rate menunjukkan bahwa pengangguran yang mempersiapkan usaha akan lebih cepat memperoleh pekerjaan dibandingkan dengan pengangguran yang mencari pekerjaan. Pengujian dengan cox regression menunjukkan bahwa pendidikan, pelatihan, status perkawinan, dan umur berpengaruh signifikan terhadap lama mencari pekerjaan di Indonesia. Sedangkan pendidikan, pelatihan, dan status perkawinan berpengaruh signifikan terhadap lama mempersiapkan usaha di Indonesia.                                      Kata kunci: pengangguran, lama mencari kerja, lama mempersiapkan usaha, regresi cox, analisis survival

Happiness research on economics has increasingly developed since Easterlin Paradox appeared. This research tries to analyze the determinants of happiness in Java Island, Indonesia. We use data from the Happiness Measurement Survey 2017 conducted by the BPS-Statistic Agency of Indonesia. Taking 23,456 observations, we employ binary logistic regression to test the effects of 13 independent variables on happiness. The results showed that income, education, health, social relations with family and society, environmental conditions, and a meaningful life affect happiness. In general, these findings strengthen some previous studies findings.

Sektor rumah tangga menempati posisi kedua sebagai konsumen energi terbesar di Indonesia. Listrik adalah energi dominan yang dikonsumsi oleh rumah tangga di Indonesia.Penelitian ini bertujuan untuk menganalisis elastisitas harga dan elastisitas pendapatan permintaan listrik pada sektor rumah tangga di Indonesia dengan menggunakan data mikro Susenas Maret 2018. Alat analisis yang digunakan dalam penelitian ini adalah regresi linear berganda. Hasil estimasi menunjukkan harga listrik berpengaruh negatif terhadap permintaan listrik, sedangkan variabel pendapatan per kapita, ukuran rumah tangga, umur kepala rumah tangga, pendidikan kepala rumah tangga, dan wilayah tempat tinggal berpengaruh positf terhadap permintaan listrik. Koefisien elastisitas harga dan koefisien elastisitas pendapatan menunjukkan nilai yang elastis terhadap permintaan listrik. Hal ini menunjukkan listrik tergolong “normal goods” dan merupakan kebutuhan pokok bagi rumah tangga di Indonesia.

Happiness studies on economics have increasingly arisen since the uprising of the Easterlin Paradox phenomenon. Besides its populous side, the urban area has more complicated problems than rural. This research aims to analyze the determinants of happiness in urban Indonesia. We use the latest data from the Happiness Measurement Survey 2017 conducted by the BPS-Statistic Agency of Indonesia. Taking 30,665 observations, we apply the Ordered Logit Estimation technique (including G2-likelihood ratio test, Wald statistical test, and Hosmer-Lemeshow goodness of fit test) to analyze the determinants of happiness. We found that Easterlin Paradox does not exist in urban area Income, education, health, marrying, internal-external relationship, a satisfying job, positive feeling, and a meaningful life have a positive impact on happiness. Generally, these findings support some previous studies' findings.

Corruption is a phenomenon not easy to observe. Corruption theory and existing definitions are ambivalent, both in size and level. Mathematical models, and  econometrics are prone to statistical errors. Fuzzy logic facilitates more humane modeling and analysis. Fuzzy logic is not bound by strong assumptions, as a solution to solve complex problems, and not precise, including corruption analysis. The main objective of this study is to measure corruption in Indonesia. The research method used fuzzy logic by specifying the Mamdani fuzzy inference system (FIS) model. FIS Mamdani was chosen because it is more human manner. Sources of secondary data used in this research from various institutions. The results show that corruption time series data can be produced. During the research year (1995-2020), corruption that occurred in Indonesia was 36.14 percent of real GDP per capita.