Judul: Pengelompokan Data Indeks Pembangunan Manusia di Pulau Jawa dengan Algoritme ST-DBSCAN dan Bahasa Pemrograman Python
Abstrak: Human Development Index (HDI) is an indicator commonly used by the United Nations Development Programme (UNDP) to assess the success of development. Three elements forming the HDI value are the level of health, education, and economics. The HDI data per district used in this research only cover Java region in 2012, obtained from the Central Bureau of Statistics including spatial data (area coordinates), temporal data (years), and non-spatial data (HDI). Data mining technique applied in this research is clustering with ST-DBSCAN using Python programming language. Clustering can be used to found similar grouping based on HDI in each region. Visualization of HDI data objects produces a map of the cluster spread. By using spatial distance parameter (Eps1)=0.4, temporal distance (Eps2)=0, size of the tolerated difference in value of non-spatial atributes (Δ)=2, and minimum number of members in each cluster (MinPts)=5 resulted in 4 clusters and 18 point of noise with silhouette coefficient worth 0.020.
Keyword: Bogor Agricultural University (IPB), ST-DBSCAN, Python, human development index, clustering

Judul: Metode Alternatif untuk Menghitung Indeks Pembangunan Manusia di Indonesia
Abstrak: United Nations Development Programme(UNDP) makea reportthat containthe Human DevelopmentIndex (HDI) andrank every year. HDI calculated from four variables, life expectancy (AHH), literacy rate (AMH), mean years school (MYS), and purchasing power parity (PPP). Multiple criteria decision making (MCDM) can be used in determining the ranking of human development. MCDM is the process of determining the best choice of many alternatives. Several methods can be used to solve MCDM problem are technique for order preference by similarity to ideal solution (TOPSIS) and visekriterijumska optimizacija i kompromisno resenje (VIKOR). The results showed that TOPSIS better than the classical UNDP method in producing consistent correlations between HDI with indicator. While UNDP methodis better than VIKOR. TOPSIS method is much better than VIKOR in a ranking of the Human Development Index which is similar to the results of UNDP method. Human DevelopmentinIndonesiahas ahighgapbutthis gapdecreases.
Keyword: Bogor Agricultural University (IPB), VIKOR, TOPSIS, MCDM, Human Development Index

Judul: Sintesis 1-Kloro-2-metoksi-6-propilnaftalena-1,3-dioksolana (1:1) sebagai Prekursor Asam (S)-(+)-(6-Metoksi-2-naftil)propanoat
Abstrak: Senyawa 1-kloro-2-metoksi-6-propilnaftalena-1,3-dioksolana (1:1) sebagai prekursor asam (S)-(+)-(6-metoksi-2-naftil)propanoat disintesis dari bahan awal 2-metoksinaftalena. Tahapan sintesis diawali dengan klorinasi menggunakan 2 jenis pereaksi klorinasi, yakni isosianurat terklorinasi dan NaOCl. Klorinasi dengan isosianurat terklorinasi berhasil menyintesis 1-kloro-2-metoksinaftalena sebagai produk monoklorinasi melalui pencirian dengan kromatograf gas-spektrometer massa (GC-MS). Nisbah konversi produk paling efisien diperoleh pada laju penambahan 2.5 mmol/jam. Sebaliknya, klorinasi dengan NaOCl menghasilkan produk triklorinasi. 1-Kloro-2-metoksinaftalena selanjutnya diasilasi dengan propanoil klorida, tetapi analisis dengan GC menunjukkan bahwa produk asilasi tidak terbentuk. Sistem bebas-air diperlukan untuk keberhasilan proses asilasi tersebut.
Keyword: isosianurat terklorinasi, NaOCl, nisbah konversi