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Contact Name
Yopi Andry Lesnussa, S.Si., M.Si
Contact Email
yopi_a_lesnussa@yahoo.com
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+6285243358669
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barekeng.math@yahoo.com
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Redaksi BAREKENG: Jurnal ilmu matematika dan terapan, Ex. UT Building, 2nd Floor, Mathematic Department, Faculty of Mathematics and Natural Sciences, University of Pattimura Jln. Ir. M. Putuhena, Kampus Unpatti, Poka - Ambon 97233, Provinsi Maluku, Indonesia Website: https://ojs3.unpatti.ac.id/index.php/barekeng/ Contact us : +62 85243358669 (Yopi) e-mail: barekeng.math@yahoo.com
Location
Kota ambon,
Maluku
INDONESIA
BAREKENG: Jurnal Ilmu Matematika dan Terapan
Published by Universitas Pattimura
ISSN : 19787227     EISSN : 26153017     DOI : https://search.crossref.org/?q=barekeng
BAREKENG: Jurnal ilmu Matematika dan Terapan is one of the scientific publication media, which publish the article related to the result of research or study in the field of Pure Mathematics and Applied Mathematics. Focus and scope of BAREKENG: Jurnal ilmu Matematika dan Terapan, as follows: - Pure Mathematics (analysis, algebra & number theory), - Applied Mathematics (Fuzzy, Artificial Neural Network, Mathematics Modeling & Simulation, Control & Optimization, Ethno-mathematics, etc.), - Statistics, - Actuarial Science, - Logic, - Geometry & Topology, - Numerical Analysis, - Mathematic Computation and - Mathematics Education. The meaning word of "BAREKENG" is one of the words from Moluccas language which means "Counting" or "Calculating". Counting is one of the main and fundamental activities in the field of Mathematics. Therefore we tried to promote the word "Barekeng" as the name of our scientific journal also to promote the culture of the Maluku Area. BAREKENG: Jurnal ilmu Matematika dan Terapan is published four (4) times a year in March, June, September and December, since 2020 and each issue consists of 15 articles. The first published since 2007 in printed version (p-ISSN: 1978-7227) and then in 2018 BAREKENG journal has published in online version (e-ISSN: 2615-3017) on website: (https://ojs3.unpatti.ac.id/index.php/barekeng/). This journal system is currently using OJS3.1.1.4 from PKP. BAREKENG: Jurnal ilmu Matematika dan Terapan has been nationally accredited at Level 3 (SINTA 3) since December 2018, based on the Direktur Jenderal Penguatan Riset dan Pengembangan, Kementerian Riset, Teknologi, dan Pendidikan Tinggi, Republik Indonesia, with Decree No. : 34 / E / KPT / 2018. In 2019, BAREKENG: Jurnal ilmu Matematika dan Terapan has been re-accredited by Direktur Jenderal Penguatan Riset dan Pengembangan, Kementerian Riset, Teknologi, dan Pendidikan Tinggi, Republik Indonesia and accredited in level 3 (SINTA 3), with Decree No.: 29 / E / KPT / 2019. BAREKENG: Jurnal ilmu Matematika dan Terapan was published by: Mathematics Department Faculty of Mathematics and Natural Sciences University of Pattimura Website: http://matematika.fmipa.unpatti.ac.id
Articles 1,369 Documents
PERAMALAN JUMLAH PENUMPANG PESAWAT DI BANDAR UDARA INTERNASIONAL JUANDA MENGGUNAKAN METODE EXPONENTIAL SMOOTHING EVENT-BASED Farida, Yuniar; Yusi, Suyesti; Yuliati, Dian
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (580.856 KB) | DOI: 10.30598/barekengvol15iss4pp709-718

Abstract

The increase in the number of airplane passengers occurs at certain times, such as Eid al-Adha, Eid al-Fitr, and Christmas holidays. Of course, an excessive rise in the number of passengers can cause extreme flight traffic density so that which can cause flight delays, decreased airport service level performance, and other impacts. This study predicts the number of aircraft passengers at Juanda International Airport using the Exponential Smoothing Event-Based method. The Exponential Smoothing Event-Based method is a forecasting method that considers special events using the Exponential Smoothing method as the initial calculation. This study uses data on the number of passengers from January 2014 to December 2020. From the forecasting model, MAPE is 11.8905%, and MSE is 4202958561.0706, so that the resulting forecast can be categorized as good.
PENDUGAAN PARAMETER MODEl DISTRIBUTED LAG POLA POLINOMIAL MENGGUNAKAN METODE ALMON Virgantari, Fitria; Rahayu, Wilda
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (648.468 KB) | DOI: 10.30598/barekengvol15iss4pp761-772

Abstract

The distributed lag model is a regression model that describes the relationship between the dependent variable of a given period and the independent variables of a certain or previous periods. The model can be used to determine the impact of the independent variable to dependent variables over time and forecast time series data for the next periods. There are two forms of distributed lag model that have been widely proposed in the estimation of distributed lag regression model. The first form is proposed by Koyck and the second form by Almon. This paper aims to apply the Almon model to examine the effect of the ratio of BOPO (Operating Cost and Operating Income) to the ROA (Return on Asset) of a government bank based on quarterly data, to estimate its parameters, to examine the feasibility of the model, and to predict the next quarter. Results shows that distributed lag model is = 10.110 - 0.078 + 0.015 + 0.026 – 0.045 with Yt is ROA, and Xt is the ratio BOPO on the 1st quarter until the previous 3 quarters. The model is quite good according to the determination coefficient that is 0.75, no autocorrelation in the model, t test and F test are also significant. Based on the model, the value of ROA ratio next quarter predicted 4.63%. The decrease in profitability ROA ratio is due to an increase in interest expense while interest income can not compensate
PERBANDINGAN PRINCIPAL AXIS FACTORING DAN MAXIMUM LIKELIHOOD DALAM MENENTUKAN FAKTOR DOMINAN YANG MEMPENGARUHI PEMBELAJARAN NAHWU SHOROF (STUDI KASUS PONDOK PESANTREN ROUDLOTUL MUTA’ALLIMIN PUTRI) Khusna, Tanwirotul; Akbarita, Rachmadania; Narendra, Risang
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (609.952 KB) | DOI: 10.30598/barekengvol15iss4pp785-796

Abstract

This study discusses the dominant factors that influence the success of learning nahwu shorof at the Roudlotul Mutaalimin Islamic Boarding School for the daughter of Minggirsari Village. Determining the dominant factor is done to maximize the quality of education in the boarding school, so that the interest of prospective students is increasing. In this study, two extraction methods were compared, namely the Principal Axis Factoring and Maximum Likelihood methods. There are 13 variables that affect the success of nahwu shorof learning, namely the natural environment (P1), social environment (P23), curriculum (P49), madrasa program (P1012), facilities and facilities (P1315), teaching staff (P1619), condition of physiological (P2021), condition of the five senses (P22), interest in learning (P2325), intelligence of students (P26), student talent (P27), motivation of students (P28), cognitive ability (P2930). The purpose of this study, namely to determine the most appropriate extraction method used in the analysis. The result of this study is the Maximum Likelihood method which is more appropriate than the Principal Axis Factoring method, because it has a smaller RMSE (Root Mean Squared Error) value.
PERMODELAN POLA PERENCANAAN KEUANGAN BERDASARKAN STATUS PERNIKAHAN Hakim, Lukmanul; Andriani, Sri; Umami, Nenny Noor
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (695.702 KB) | DOI: 10.30598/barekengvol15iss4pp773-784

Abstract

A Marital status at community can make an impact on financial management. The purpose of this study was to analyze financial planning based on marital status with the variables of financial attitude, financial behavior, and financial literacy towards people who live in Sumbawa. The data were analyzed using Structural Equation Modeling Partial Least Square (SEM-PLS) through smartPLS version 3.0 software. The results of the analysis in this study indicate that (1) financial attitude has a significant effect on financial behavior both based on married and unmarried status, (2) financial attitude has a significant effect on financial literacy both based on married and unmarried status, (3) financial attitude has an effect significant on financial planning based on both married and unmarried status, (4) financial behavior has no significant effect on financial literacy both based on married and unmarried status, (5) financial behavior has no significant effect on financial planning both based on married and unmarried status, (6) financial literacy has no significant effect on financial planning based on both married and unmarried status, and (7) There is no difference in financial planning based on marital status
SIMULASI PENERAPAN TEORI ANTRIAN DALAM PEMBATASAN PENGUNJUNG OBJEK WISATA Setiawan, Ezra Putranda; Sukoco, Heru; Harini, Lusi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (532.31 KB) | DOI: 10.30598/barekengvol15iss4pp719-726

Abstract

Restrictions of the visitor on the tourism places is one of the mechanism of health protocol that carried out during the new normal era. This restriction become a dilemma since the manager of the tourism places want to maximize their profit by allowing all visitor, while the government still limiting the number of visitor to avoid crowding. Otherwise, real-time monitoring of the number of visitor somewhat difficult since they can come in and leave the tourism places at any time. In this study we implement the queuing theory to solve this problem. The visitor of the tourism places is modelled as the customer, while the time spent by them in the tourism places is modelled as the serving duration. By estimating the average of time spent by the visitor and determine the average number of arrivals during the specified time, the number of visitor in the tourism place can be estimated as the number of people in the queuing system. As a preliminary study, this paper only focused on two queuing model, namely the M/M/1 and M/G/1. Further study is needed to develop the model and calibrate it using the data from a specified tourism place.
HUBUNGAN PEMBANGUNAN MANUSIA DAN PERTUMBUHAN EKONOMI DI MALUKU PADA MASA PANDEMI COVID-19 Palijama, Arnelia
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (518.617 KB) | DOI: 10.30598/barekengvol15iss4pp745-752

Abstract

The economic development of a region aims to obtain high economic growth, which can encourage an increase in the income per capita of the population followed by an increase in human development. The purpose of this study was to determine the effect of economic growth on human development performance in Maluku Province during the Covid-19 pandemic period. The research uses a quantitative approach with descriptive and inferential analysis methods. Simple linear regression analysis technique was applied to determine the relationship between HDI and economic growth and mapped it on a quadrant map. The findings obtained illustrate that the HDI growth in Maluku in 2020 slowed to 0.06 percent, while economic growth contracted to 0.92 percent. There are no districts/cities whose HDI and economic growth are lower than the Maluku Province figure. Around 81 percent of districts/cities are mapped in Quadrant II (lower HDI and higher economic growth than the Maluku figure). The estimation results of the regression equation confirm a very strong relationship. The results of the study indicate that the Covid-19 pandemic has an impact on the slowdown in the HDI growth of Maluku Province in 2020.
ANALISIS CREDIT SCORING TERHADAP STATUS PEMBAYARAN BARANG ELEKTRONIK DAN FURNITURE MENGGUNAKAN BOOTSTRAP AGGREGATING K-NEAREST NEIGHBOR Astuti, Putri Sri; Hayati, Memi Nor; Goejantoro, Rito
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (556.631 KB) | DOI: 10.30598/barekengvol15iss4pp735-744

Abstract

Classification is the process of grouping objects that have the same characteristics into several categories. This study applies a combination of classification algorithms, namely Bootstrap Aggregating K-Nearest Neighbor in credit scoring analysis. The aim is to classify the credit payment status of electronic goods and furniture at PT KB Finansia Multi Finance in 2020 and determine the level of accuracy produced. Credit payment status is grouped into 2 categories, namely smoothly and not smoothly. There are 7 independent variables that are used to describe the characteristics of the debtor, namely age, number of dependents, length of stay, years of service, income, amount of payment, and payment period. The application of the classification algorithm at the credit scoring analysis is expected to assist creditors in making decisions to accept or reject credit applications from prospective debtors. The results showed that the accuracy obtained from the Bootstrap Aggregating K-Nearest Neighbor algorithm with a proportion of 90:10, m=80%, C=73, and K=5 was the best, which was 92.308%.
DETEKSI PENYALAHGUNAAN NARKOBA DENGAN METODE TWIN BOUNDED SVM Tomasouw, Berny Pebo; Lesnussa, Yopi Andry
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 4 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (476.137 KB) | DOI: 10.30598/barekengvol15iss4pp753-760

Abstract

Twin Bounded SVM (TB-SVM) is an improvement of the Twin SVM method and has advantages in classification problems compared to standard SVM. In this research, linear TB-SVM and nonlinear TB-SVM methods will be applied to detect drug use based on 23 symptoms experienced. The training and testing data is divided into three partition data schemes (60/40 scheme, 70/30 scheme and 80/20 scheme) in order to determine the best level of accuracy that can be obtained. The test results show that the nonlinear TB-SVM with the RBF kernel has a better accuracy rate than the linear TB-SVM, that is 80% at 60/40 scheme, 90% at 70/30 scheme, and 95% at 80/20 scheme.
TREND SEMI AVERAGE AND LEAST SQUARE IN FORECASTING YAMAHA MOTORCYCLE SALES Machfiroh, Ines Saraswati; Alam Sur, Widiya Astuti; Pangestu, Robby Tri
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (599.11 KB) | DOI: 10.30598/barekengvol16iss1pp341-352

Abstract

This study compared the Semi Average and Least Square methods to determine the sales trend of Yamaha motorcycles in obtaining the best method for predicting motorcycle sales at CV Surya Prima Pelaihari. Mean Absolute Percentage Error (MAPE) was used to determine the accuracy of the Semi Average and Least Square methods in predicting the sales of CV Surya Prima Pelaihari motorbikes. Semi Average method was based on the MAPE value of 43.96%. The Least Square method has a MAPE value of 31.89%. The comparison of MAPE values shows that the Least Square method provides better predicting results because of the lower MAPE value. Therefore, the Least Square method was used to predict sales at CV Surya Prima Pelaihari. A more accurate output can be obtained than the Semi Average method.
PRESERVICE MATHEMATICS TEACHERS’ REASONING IN SOLVING CRITICAL THINKING PROBLEM Herizal, Herizal; Marhami, Marhami; Fonna, Mutia; Rohantizani, Rohantizani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (619.745 KB) | DOI: 10.30598/barekengvol16iss1pp001-006

Abstract

Mathematical reasoning is one of the abilities that must have by students after learning mathematics. To improve students’ reasoning, teachers also have to good in reasoning. Due to the importance of reasoning for teachers, a qualitative descriptive research was conducted to analyze how the reasoning of preservice mathematics teachers in solving critical thinking problem. The data were collected through instrument test that consists of one problem about perimeter of a rectangle from 40 preservice mathematics teachers of first year in one of public universities in North Aceh, Aceh, Indonesia. The problem measured the skill of manipulating mathematical process; constructing mathematical proof, and drawing conclusion. Their works were analyzed for each indicator of reasoning. The result showed that more than 75% preservice mathematics teachers were wrong in solving the problem. They were not good in constructing mathematical proof to draw a conclusion. It concludes that preservice mathematics teachers’ ability in mathematical reasoning was not satisfied. The ability still needs to be improved through learning activities and they must be accustomed to the problems or situations that involving reasoning

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