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: Katalis Zink Ferit Tersubstitusi Cu untuk Oksidasi Benzil Alkohol
Abstrak: Katalis berperan dalam menurunkan energi aktivasi. Katalis ZnFe2O4 dan ZnFe2O4 tersubstitusi Cu disintesis menggunakan metode kopresipitasi untuk digunakan dalam oksidasi benzil alkohol. Katalis dicirikan dengan spektrofotometer inframerah (FTIR) dan difraktometer sinar-X. Spektrum FTIR menunjukkan puncak serapan dari ikatan Zn-O dan Fe-O masing-masing pada rentang 559‒575 cm-1 dan 419‒447 cm-1. Difraktogram menunjukkan terbentuknya fase tunggal Zn0.6Cu0.4Fe2O4 pada katalis ZnFe2O4 tersubstitusi Cu 20%. Benzil alkohol dioksidasi dengan sistem refluks. Konversi benzil alkohol meningkat dengan meningkatnya suhu. Kadar benzaldehida yang dihasilkan dengan katalis ZnFe2O4 tersubstitusi Cu 20% lebih tinggi dibandingkan dengan katalis ZnFe2O4 yang tidak tersubstitusi dan yang tersubstitusi Cu 60 dan 80%. Hal tersebut menunjukkan bahwa katalis ZnFe2O4 tersubstitusi Cu 20% memiliki kinerja yang lebih baik dalam oksidasi benzil alkohol menjadi benzaldehida dengan kadar benzaldehida 8.763%.
Keyword: Benzil alkohol, katalis, oksidasi, ZnFe2O4