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All Journal PROFIT : Jurnal Administrasi Bisnis BAREKENG: Jurnal Ilmu Matematika dan Terapan Variance : Journal of Statistics and Its Applications Pattimura International Journal of Mathematics (PIJMath)
Safira, Dinda Ayu
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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EID AL-FITR INFLUENCES THE NUMBER OF TRAIN PASSENGERS ON THE SUMATRA ISLAND (CALENDAR VARIATIONS TIME SERIES MODEL) Akbar, Muhammad Sjahid; Safira, Dinda Ayu; Fadhilah, Rahmi; Damayanti, Salma; Riskianto, Riskianto; Puthy, Khem
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2191-2202

Abstract

The Train is one of the transportation options for land travel on the island of Sumatra because of its affordable cost, comfort, and fast mobility. The majority of the population of Sumatra Island who are Muslims influenced the sharp increase in the number of train passengers during Eid Al-Fitr due to the large number of residents who returned to their hometowns (Sumatra Island). The time of Eid Al-Fitr will change every year on the Gregorian calendar, but it is always the same if using the Hijri calendar. This study aims to predict the number of train passengers on the island of Sumatra based on calendar variations (Eid Al-Fitr). To overcome this calendar variation, time series modeling will be used with the addition of exogenous variables (ARIMAX). This model consists of a time series regression equation added with a time series model of the residual regression equation of an exogenous variable. The resulting model can forecast the number of train passengers in the next few months and find that Eid Al-Fitr affects the data. Every Eid Al-Fitr, there is an increase in the number of train passengers by 49 passengers. The model obtained is in the good category with MAPE in-sample of 18.12% and out-sample of 9.93%.
CLUSTERING SHRIMP DISTRIBUTION IN INDONESIA USING THE X-MEANS CLUSTERING ALGORITHM Fadhilah, Rahmi; Matdoan, M. Y.; Safira, Dinda Ayu; Tahalea, Sylvert Prian
VARIANCE: Journal of Statistics and Its Applications Vol 6 No 1 (2024): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol6iss1page49-54

Abstract

Shrimp is one of the marine biological resources available in almost all Indonesian waters and is one of the mainstay export commodities from the fisheries sub-sector. This is expected to improve the welfare of the community, so it is necessary to cluster the distribution of shrimp in Indonesia. Clustering is a data mining technique used to group data or partition datasets into subsets. One of the best clustering algorithms is X-means. X-means clustering is used to solve one of the main disadvantages of K-means clustering, namely the need for prior knowledge of the number of clusters (K). The purpose of this research is to obtain the results of clustering the distribution of shrimp in Indonesia using the X-means clustering algorithm. The data used in this study comes from the publication of Marine and Coastal Resources Statistics 2022 by the Central Bureau of Statistics of the Republic of Indonesia. This study obtained the results that there are 3 clusters in the clusterization of shrimp distribution in Indonesia. Cluster 0 consists of 1 province, cluster 1 consists of 27 provinces, and cluster 2 consists of 6 provinces.
PENGARUH MOBILE BANKING TERHADAP PROFITABILITAS BANK DI BURSA EFEK INDONESIA Imamah, Nur; Safira, Dinda Ayu
Profit: Jurnal Adminsitrasi Bisnis Vol. 15 No. 1 (2021): Profit : Jurnal Administrasi Bisnis
Publisher : FIA UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.882 KB) | DOI: 10.21776/ub.profit.2021.015.01.10

Abstract

This study aims to determine the impact of mobile banking on bank profitability in Indonesia. The research sample consisted of 27 banks listed on the Indonesia Stock Exchange during 2015-2018. This study uses the dependent variable-return on assets (ROA), return on equity (ROE) and net profit margin (NPM), independent variable-mobile banking (m-banking), and control variables. This type of research is explanatory research by using panel data regression analysis or ordinary least square (OLS) method. The findings from the random effect model or generalized least square in this study are that mobile banking has a positive effect but statistically insignificant on ROA, ROA, and NPM. This implies that mobile banking in Indonesia can increase the profitability of banks by further increasing various digital innovations.
Implementation of Centroid Clustering Method for Industrial Clusterization in Regencies and Cities in Maluku Province Matdoan, M. Y.; Fadhilah, Rahmi; Laamena, N. S.; Safira, Dinda Ayu; Loklomin, S. B.
Pattimura International Journal of Mathematics (PIJMath) Vol 3 No 1 (2024): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol3iss1pp09-14

Abstract

The industrial sector has a vital role in economic development. In addition to increasing state revenue, the industrial sector can also provide business opportunities that make a positive contribution to efforts to equalize community welfare. The limited employment opportunities available in Maluku Province need to be balanced with the increase in the labor force, which significantly impacts the high unemployment. Basically, the high unemployment rate will significantly impact economic development, which aims to improve the standard of living of the people in Maluku Province. Centroid Linkage is the average of all objects in the cluster, and the distance. The distance between the cluster centroids is what separates two clusters. Cluster centroid is the center value of observations on variables in a set of cluster variables. The purpose of this research is to cluster the distribution of industries in regencies and cities in Maluku Province using data from BPS Maluku Province. This study obtained the results that there are 3 clusters formed in the clusterization of industry in regencies and cities in Maluku Province, namely cluster 1 consisting of Tanimbar Islands Regency. Cluster 2 consists of Buru, South Buru, West Seram, East Seram, Central Maluku, Tual City, Southeast Maluku, and Aru Islands Regency. Furthermore, Cluster 3 consists of Ambon City and Southwest Maluku.
Co-Authors Damayanti, Salma Fadhilah, Rahmi Laamena, N. S. Loklomin, S. B. Matdoan, M. Y. Muhammad Sjahid Akbar Nur Imamah Puthy, Khem Riskianto, Riskianto Tahalea, Sylvert Prian