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All Journal Science Nature Journal of Science and Science Education
Henry Junus Wattimanela
Jurnal Matematika, Fakultas MIPA, Universitas Pattimura
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Mathematics Physics

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Identification and comparison of characteristics of inflation rate in cities in Indonesia in the period of 2009–2014 with the period of 2014–2019 Adi Setiawan; Bayu Wijayanto; Henry Junus Wattimanela
Journal of Science & Science Education Vol 5 No 1 (2021): JoSSE Vol. 5 No. 1 (May 2021)
Publisher : Faculty of Science and Mathematics, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/josse.v5i1p26-35

Abstract

This study aims to identify the characteristics of the MoM inflation rate in cities in Indonesia. In addition, it also compares the distribution of the monthly inflation rate for the 2009–2014 period with the 2014-2019 period in cities in Indonesia. The method used to identify the characteristics of the MoM inflation rate is by using summary of statistics, while to compare the distribution of the monthly inflation rate for the 2009–2014 period and the 2014–2019 period, the two-sample Kolmogorov-Smirnov test is used. Characteristics of the month to month (MoM) inflation rate in cities in Indonesia for the period October 2009 to March 2019 was presented. Furthermore, the comparison of the characteristics of the MoM inflation rate from October 2009 to September 2014 (period 1) and the period from October 2014 to March 2019 (period 2) was also shown. The cities of Banda Aceh, Kendari, Yogyakarta, Jakarta and Sorong had an average characteristic of inflation each month which tended to be low in February, March, April and September.Six cities had significantly different characteristics during period 2 inflation rate compared to period 1.
Grouping of Tectonic Earthquakes in the Province of Nusa Tenggara Barat Indonesia with K-Means Cluster Method Approach and Determination of Distribution Type Henry Junus Wattimanela
SCIENCE NATURE Vol 2 No 3 (2019): SCIENCE NATURE
Publisher : Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/SNvol2iss3pp177-191year2019

Abstract

The earthquake is one of the natural disasters that is destructive and claimed lives at a certain magnitude and depth. Indonesia is an earthquake-prone area because it is in the area of major tectonic plates. Province of Nusa Tenggara Barat is one of the 34 provinces in Indonesia which is earthquake prone. In this research, earthquake grouping will be carried out in the Province of Nusa Tenggara Barat using the K-Means cluster approach. Furthermore, using the Kolmogorov-Smirnov test the type of distribution is determined for each group variable resulting from the cluster process. The data used was the 2018 earthquake data in West Nusa Tenggara Province, sourced from the USGS earthquake catalog. The software used in this research process is SPSS, GMT, and Matlab, respectively. The results of this study are expected to be used as a reference for the Government of Nusa Tenggara Barat Province and surrounding areas related to earthquake disaster mitigation, especially evaluation of spatial and regional.
Co-Authors Adi Setiawan Bayu Wijayanto Laamena, Novita Serly Ronald John Djami Rosalina Salhuteru Sanlly Joanne Latupeirissa Yonlib Weldri Arnold Nanlohy