Judul: Analisis Regresi Data Panel pada Indeks Pembangunan Manusia (IPM) Provinsi Kalimantan Barat Tahun 2017-2022
Abstrak: Indeks Pembangunan Manusia (IPM) merupakan salah satu indikator yang digunakan untuk mengukur keberhasilan pembangunan di suatu negara atau daerah. IPM memberikan gambaran umum tentang kualitas hidup dan kesejahteraan manusia yang meliputi aspek kesehatan, pendidikan, dan kelayakan hidup. Kalimantan Barat merupakan salah satu provinsi yang memiliki capaian IPM terendah di Indonesia dan tercatat sebagai provinsi dengan IPM terendah di Pulau Kalimantan selama periode 2017 hingga 2022. Penelitian ini bertujuan menentukan model yang lebih baik untuk menduga IPM di Provinsi Kalimantan Barat menggunakan regresi data panel serta mengidentifikasi peubah-peubah yang memengaruhinya. Data yang digunakan berasal dari BPS Provinsi Kalimantan Barat periode 2017 hingga 2022 yang terdiri atas 14 kabupaten/kota. Peubah yang digunakan dalam penelitian adalah jumlah tenaga kesehatan, jumlah sarana kesehatan, pengeluaran konsumsi pemerintah, tingkat partisipasi angkatan kerja, persentase penduduk miskin, angka partisipasi murni SMA, dan jumlah sekolah SMA. Hasil penelitian menunjukkan bahwa model regresi data panel yang lebih baik untuk menduga Indeks Pembangunan Manusia (IPM) di Kalimantan Barat adalah model pengaruh acak dengan pengaruh spesifik individu dengan nilai kebaikan model (R^2) sebesar 73,07%. Peubah-peubah yang berpengaruh signifikan pada taraf nyata 5% adalah jumlah tenaga kesehatan, persentase penduduk miskin, dan jumlah sekolah SMA., The Human Development Index (HDI) is an indicator used to measure the success of development in a country or region. HDI provides an overview of the quality of life and human well-being which includes aspects of health, education, and livability. West Kalimantan is one of the provinces with the lowest HDI achievement in Indonesia and was recorded as the province with the lowest HDI on the island of Kalimantan during the period 2017 to 2022. This study aims to determine a better model to estimate HDI in West Kalimantan Province using panel data regression and identify the variables that affect it. The data used came from the BPS of West Kalimantan Province for the period 2017 to 2022 which consisted of 14 districts/cities. The variables used in the study were the number of health workers, the number of health facilities, government consumption expenditure, the labor force participation rate, the percentage of the poor population, the pure participation rate of high schools, and the number of high schools. The results showed that the appropriate panel data regression model to estimating the Human Development Index (HDI) in West Kalimantan was a random influence model with an individual-specific influence that had a model goodness value (R^2) of 73.07%. The variables that have a significant effect on the real 5% level are the number of health workers, the percentage of the poor, and the number of high schools.
Keyword: indeks pembangunan manusia, regresi data panel, Provinsi Kalimantan Barat

Judul: Pemetaan Komponen Indeks Pembangunan Manusia dan Tingkat Kemiskinan di Jawa Barat Menggunakan Regresi Data Panel
Abstrak: Sebagai salah satu provinsi dengan jumlah penduduk terbesar di Indonesia, Provinsi Jawa Barat berkomitmen mengatasi berbagai persoalan yang ada demi tercapainya target pembangunan berkelanjutan, terutama dalam menangani masalah kemiskinan. Kemiskinan di Indonesia dapat digambarkan oleh berbagai faktor, salah satunya yaitu Indeks Pembangunan Manusia (IPM) dan indikator-indikator penyusunnya. Penelitian ini menggunakan data dari Badan Pusat Statistik Provinsi Jawa Barat yang dianalisis dengan metode analisis regresi data panel. Regresi data panel sangat cocok digunakan pada data yang mempunyai pengaruh individu dan pengaruh waktu. Penelitian ini bertujuan untuk mendapatkan gambaran kecenderungan hubungan rata-rata lama sekolah, harapan lama sekolah, angka harapan hidup, dan pengeluaran per kapita sebagai penyusun Indeks Pembangunan Manusia dengan persentase penduduk miskin di Jawa Barat. Hasil yang diperoleh menunjukkan bahwa indikator penyusun Indeks Pembangunan Manusia memiliki karakteristik yang berbeda. Harapan lama sekolah menunjukkan pola searah, sedangkan pengeluaran per kapita, rata-rata lama sekolah, dan angka harapan hidup memiliki pola hubungan yang negatif terhadap persentase kemiskinan di Jawa Barat., As one of the provinces with the largest population in Indonesia, West Java Province is committed to overcoming various existing problems to achieve sustainable development goals, especially in addressing the issue of poverty. Poverty in Indonesia can be described by multiple factors, including the Human Development Index (HDI) and its indicators. This study uses data from the Statistics Indonesia West Java Province, and its be analyzed using panel data regression analysis methods. The panel data regression is very suitable for use on data that has individual and time effects. This study aims to get a picture of the trend of the relationship between average length of schooling, expected length of schooling, life expectancy, and per capita expenditure as components of the Human Development Index with the percentage of poor people in West Java. The results obtained show that the indicators of the Human Development Index have different characteristics. Expected length of schooling shows a unidirectional pattern, while per capita expenditure, average length of schooling, and life expectancy have a negative relationship pattern with the percentage of poverty in West Java.
Keyword: analisis regresi, kemiskinan, data panel, IPM

Judul: Sintesis Flavon dari Fenol dan Benzoil Klorida
Abstrak: Flavone is a class of flavonoid, commonly found in plants with wide bioactivity spectrum. A widely used flavone synthesis route is through acidcatalyzed oxidative cyclization of β-diketone. In this study, unsubstituted flavone had been synthesized via 5-step from phenol, with 22% yield and successfully increased the yield of previous study on Fries rearrangement of phenyl acetate and benzoylation of o-HAP steps. Phenol was acetylated resulting 93% phenyl acetate. AlCl3-catalyzed Fries rearrangement in 1.5 hour and at 120 °C converted phenyl acetate into o-hydroxyacetophenone (o-HAP) with 40% yield. AlCl3 as catalyst produced o-HAP with higher and reproducible yield compared with BF3·Et2O and ZnCl2. Benzoylation of o-HAP followed by Baker-Venkataraman rearrangement of the ester product using KOH in dried pyridine produced β-diketone 1-(2- hydroxyphenyl)-3-phenylpropane-1,3-dione. The yield of ester and β-diketone were 71% and 85%, respectively. Finally, oxidative cyclization of β-diketone with sulphuric acid as catalyst produced 99% of flavone. The flavone product had been characterized spectroscopically and its melting point as well.
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