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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Magister Pendidikan Matematika (JUMADIKA) Science Nature Journal of Science and Science Education Bakti: Jurnal Pengabdian Kepada Masyarakat

Henry Junus Wattimanela

Jurnal Matematika, Fakultas MIPA, Universitas Pattimura

Author-ID : 3489644

Religion Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

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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

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

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.

SIFAT-SIFAT DAN KEJADIAN KHUSUS DISTRIBUSI GAMMA Royke Yohanes Warella; Henry Junus Wattimanela; Venn Yan Ishak Ilwaru
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

The gamma distribution is one of special continuous random variable distribution with scale parameter and shape parameter where is positive real numbers. On some conditions the gamma distribution astablishes other continuous distributions which are then called special cases of the gamma distribution. Therefore, this study was conducted to determine the properties of gamma distribution and the characteristics of the special cases of gamma distribution by analyzed the theories from literatures. The properties of gamma distribution include expectation value, variance, moment generating function, characteristic function, and estimation of gamma distribution parameters with the moment method to earn the special cases of the gamma distribution are Erlang, exponential, chi-square, and beta distributions.

ANALISIS KEMAMPUAN PEMECAHAN MASALAH MATEMATIS PADA SOAL SETARA INSTRUMEN TIMSS UNTUK SISWA SMP NEGERI 1 MASOHI Andi Hikmawati; Theresia Laurens; Henry J Wattimanela
JUMADIKA Vol 4 No 2 (2022): Jurnal Magister Pendidikan Matematika (JUMADIKA)
Publisher : Prodi Magister Pendidikan Matematika Pascasarjana Universitas Pattimura Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jumadikavol4iss2year2022page82-88

Mathematical problem solving ability is one of the abilities that must be mastered by students in order to be able to mathematically solve problems often found in real life. The purpose of this study was to describe students' mathematical problem solving abilities on the volume of cubes and blocks equivalent to the TIMSS instrument. The research subjects are five students of class IX science at SMP Negeri 1 Masohi who were selected based on the category of problem solving ability. This type of research is a qualitative descriptive research supported by quantitative data. The data obtained from this study is data on mathematical problem solving ability tests such as written tests and interviews. The results show that students with very high abilities are able to interpret problems well, interpret strategies and problem-solving steps accaording to the plan, and consistently check back. Students with high abilities are able to apply the four steps in solving ploblems even though there are some questions that students make mistakes in setting strategies and substituting scores at the completion stage. Students with moderate abilities sometimes make mistakes in setting a strategy, make calculation errors, and do not check back to the maximum so that they get inaccurate results. Meanwhile students with low abilities unable to meet the completeness of the stage of understand the problem is writing down the things that are known and asked. As for students with low abilities cannot solve problems completely because of poor planning. Making mistakes in calculations and not checking again so that they do not get the right results

ANALYZING EARTHQUAKE ACTIVITY LEVELS IN NORTH SULAWESI USING MAXIMUM LIKELIHOOD METHOD AND GUTENBERG – RICHTER LAW Henry Junus Wattimanela
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0827-0836

Tectonic earthquakes are disasters that often cause damage to buildings and loss of life. The Province of North Sulawesi and its surroundings are earthquake-prone areas because they are located at the confluence of the major plates. This study aims to analyze the level of earthquake activity in the Province of North Sulawesi and its surroundings using the maximum likelihood method and the Guttenberg-Richter law. The distribution of the earthquake studied for the period 1941-2021 in the Province of North Sulawesi and its surroundings with a Mag ≥3.0 Mw and a depth ≤60 km. The data used comes from the Meteorological, Climatological, and Geophysical Agency Indonesia and ISC (International Seismological Center). The level of earthquake activity was reviewed based on nine groups of year intervals, three groups of depth levels, and the overall research area. The results show that the level of earthquake activity, rock fragility, and local stress at certain year intervals is sometimes high or low for the 1941-2021 earthquake period in North Sulawesi and its surroundings. The same condition for certain earthquake depths. On the other hand, the level of earthquake activity is quite high and the level of rock fragility is moderate in the research area as a whole.

K-MEANS AND AGGLOMERATIVE HIERARCHY CLUSTERING ANALYSIS ON THE STAINLESS STEEL CORROSION PROBLEM Yuli Sri Afrianti; Udjianna Sekteria Pasaribu; Fadhil Hanif Sulaiman; Grace Angelia; Henry Junus Wattimanela
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0589-0602

Stainless Steel (SS) is a material that is widely used in various fields because it is resistant to corrosion. However, if SS is exposed to heat at high temperatures for a long period of time, a sigma phase, namely the Fe-Cr compound, will form, which indicates that corrosion has begun. The appearance of this corrosion can be detected through color changes on the SS surface, ranging from light brown to dark blue. Corrosion events will be observed through the distribution of color on the sample surface at the location selected through the SS microstructure image. Cluster analysis will be used to group the colors on the surface of the SS sample through the images used. The results of cluster analysis can be used to identify SS color which indicates the appearance of corrosion in the sample. In this research, we will examine the determination of many clusters for K-Means and Agglomerative Hierarchy with Ward's Criterion, Single, Average, and Complete Linkages. In addition, the model quality measure was tested with Silhouette Coeficient. Single linkage gives the worst results because it gives the impression that only one dominant color appears so it can be said that it is unable to distribute each color to the specified cluster. Likewise with Average because the number of clusters cannot be determined with certainty. On the other hand, the K-Means results are similar to Ward's results, this is reasonable because the basic idea of both is to find the minimum distance between each object and its center, in this case the average is used as the measure of the center, while the results that are most similar to the original image are clustering uses complete linkage. These results can be used as recommendations for academics and practitioners in the fields of Statistics, Mathematics and Materials Engineering in the subsequent analysis process to solve SS corrosion problems.

PENERAPAN PROGRAM PINTAR STATISTIK DENGAN MENGGUNAKAN SOFTWARE MINITAB PADA SMA NEGERI 8 AMBON Yonlib Weldri Arnold Nanlohy; Henry Junus Wattimanela; Ronald John Djami; Sanlly Joanne Latupeirissa; Novita S. Laamena; Rosalina Salhuteru
Bakti: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2023): BAKTI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LLDikti Wilayah XII Maluku dan Maluku Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/baktivol3iss2pp110-116

Statistics is a tool in a research-oriented to the quantitative paradigm. Statistics also functions as a tool that helps make a decision Statistics has a function as a technique for testing hypotheses in a study both associative and comparative. Statistical analysis skills along with skills using statistical software are expected to increase teacher motivation in conducting research. Implementation of Community Service (PkM) was carried out at SMA Negeri 8 Ambon which was devoted to increasing teacher capacity in dealing with technological developments, one of which was by providing data processing training with Minitab Software. In addition to making it easier, the use of Minitab software can provide good calculation results and can provide a more attractive display of data processing results. The training activities were carried out well, where teachers knew Minitab and were able to operate it during the training process and teachers were able to process and analyze data using Minitab software. Suggestions for the next activity are adding analytical methods other than multiple linear regression and also using other software such as SPSS and Software R.

KETAKSAMAAN INTEGRAL GRONWALL-BELLMAN UNTUK FUNGSI BERPANGKAT Monalisa E. Rijoly; Henry J. Wattimanela; Rudy W. Matakupan
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 5 No 2 (2011): BAREKENG : Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Integral inequality of Gronwall-Bellman is known as an integral inequality which consists of differential and integral forms. Integral inequality of Gronwall-Bellman involving several functions that some definite condition hold and integral values of these functions. In addition, the integral inequality of Gronwall-Bellman shows that if a function is bounded to a certain integral values then that function is also bounded for the other conditions, that is the exponential of integral. Furthermore, by adding some specific conditions the integral inequality of Gronwall-Bellman can be extended to the case of power functions.

BEBERAPA TEOREMA KEKONVERGENAN PADA INTEGRAL RIEMANN Venn Y. I. Ilwaru; Henry J. Wattimanela; Mozart W. Talakua
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 6 No 1 (2012): BAREKENG : Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Riemann Integral is integral concept using the sum of lower Riemann and upper Riemann. The sufficient condition for the function sequence which is R-integralable at ï›a, bï is thelimit function also R-integralable at ï›a, bï. If function sequence ï» ï½ n f convergence to f at ï›a, bï and n f R-integralable for every n, then the sufficient condition that function f alsoR-integralable at ï›a, bï is ï» ï½ n f uniform convergence to f at ï›a, bï. This research studies about sum convergence theorems in Riemann Integral.

ANALISIS REGRESI KOMPONEN UTAMA UNTUK MENGATASI MASALAH MULTIKOLINIERITAS DALAM ANALISIS REGRESI LINIER BERGANDA Gresyea L. Marcus; Henry J. Wattimanela; Yopi A. Lesnussa
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 6 No 1 (2012): BAREKENG : Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

The climate in Ambon, are influenced by sea climate and season climate, cause of this island arrounded by sea, it is make very high rainfall intensity. A very high collinearity between independent variables, make the estimate can not rely be ordinary least square method so it market with not real regretion coefficient and the collinearity. Collinearity can be detected by linier correlation coefficient between independent variables and also with VIF way. Regretion principal component analysis is used to remove collinearity and all of independent variable into model, this analysis is regretion analysis technique wher eare combinated with principal component analysis technique. The object of this analysis is to simplify the variable by overcast it dimension, we can do it removes the correlation between coefficient by transformation. Regresion can help to solve this case rainfall in Ambon on 2010. So the colinearity to independent variables can be overcome and then we can get the best regretion rutes.

Co-Authors Adi Setiawan Andi Hikmawati Bayu Wijayanto Dorteus L. Rahakbauw Elisabeth Rossemary Yunita Sahulata Fadhil Hanif Sulaiman Grace Angelia Gresyea L. Marcus Linanda Kailey M. S. Noya Van Delsen Monalisa E. Rijoly Mozart W. Talakua Novita S. Laamena Ronald John Djami Rosalina Salhuteru Royke Yohanes Warella Rudy W. Matakupan Sanlly Joanne Latupeirissa Theresia Laurens Udjianna Sekteria Pasaribu Venn Y. I. Ilwaru Venn Yan Ishak Ilwaru Yonlib Weldri Arnold Nanlohy Yopi A. Lesnussa Yuli Sri Afrianti

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