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Yopi Andry Lesnussa, S.Si., M.Si
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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
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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 20 Documents
Search results for , issue "Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan" : 20 Documents clear
PREDIKSI PELUANG KEMATIAN DAN KELAHIRAN MURNI PENDUDUK KABUPATEN MERAUKE MENGGUNAKAN METODE BIRTH AND DEATH PROCESS Minuk Riyana; Marius Agustinus Welliken K.
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.033 KB) | DOI: 10.30598/barekengvol15iss1pp095-102

Abstract

This study aims to estimate the probability of birth and death purely based on gender and population data of Merauke City. The chance of birth and death will be used to estimate the life table of the elderly in a population of the City of Merauke. The method used in this research is the birth and process method. The Birth and death process method which is a Poisson distribution is used to predict the chances of birth and death at time t. If the birth and death process fulfills the linearity requirements, then the processes are called the Yule-Furry process. This research discusses the stochastic process of pure birth-death with two sexes in the Yule-Furry Process. From the data on the population of Merauke district which is divided based on the sex of men and women using the pure birth and death model, the calculation results show that the probability value at the time interval 0 ≤ t <1 hour, at the initial time t = 0, the chance of individual birth at female sex is stationary at a value of 0.1762, while the chance of individual death for female sex is stationary at a value of 0.00154. The odds of birth and death in male individuals are stationary at a value of 0.305034 and 0, 059487.
MODEL REGRESI COX UNTUK MENGANALISIS PENGARUH FAKTOR ASUPAN MAKANAN TERHADAP RISIKO KEKAMBUHAN ENDOMETRIOSIS Ning Eliyati; Sri Indra Maiyanti; Oki Dwipurwani; Shaly Wanda Hamidah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.564 KB) | DOI: 10.30598/barekengvol15iss1pp103-114

Abstract

This research purpose is to analyze the relationship between food intake factors (fruit, soy, milk, caffeine, red meat, garlic, ginger, seafood, cheese, green tea, brown rice, wheat, potatoes, bean sprouts, mustard greens, soft drinks and alcohol) on hazard of endometriosis recurrence, using the Cox proportional hazard model backward method. The results of the food intake factors that significantly reduced the risk of endometriosis recurrence are fruit 1-4 times/week (p-value 0.01), fruit 5-7 1-4 times/week (p-value 0.08), mustard greens 1-7 times/week (p-value 0.006), bean sprouts 3-7 (p-value 0.007) and seafood times/week. Factors that increase the risk of endometriosis recurrence are consumption of milk 3-4 times/week (p-value 0.004), seafood 1-2 times (p-value 0.00), soy 1-2 times/week (p-value 0.002), and 3-7 times/week (p-value 0.001). Soy consumption 1-2 and 3-7 times/week are likely to relapse 30.3 and 43.9 times compared to soy consumption <1 times/week. Consumption of milk 3-4 times/week has a risk of relapse 24 times compared to consume milk <1 times/week
PENGARUH INTERAKSI GENOTIP DAN LINGKUNGAN TERHADAP PENINGKATAN PRODUKTIVITAS TANAMAN BAWANG MERAH MENGGUNAKAN METODE SEM-AMMI Ghina Rizqa Raihanah; Junaidi Junaidi; Fadjryani Fadjryani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (564.046 KB) | DOI: 10.30598/barekengvol15iss1pp115-126

Abstract

Stable and adaptive superior varieties play an important role in increasing plant productivity. The technological innovation was carried out by studying the yield GEI. However, if only paying attention to yield GEI would not be enough in selecting stable and adaptive varieties, so this research used a combination of AMMI and SEM methods. Through the SEM-AMMI, GEI modeling was carried out by taking into account the physiological processes of growth and genotype development which explained the relationship between yield GEI components and how it affected yield GEI. The results of the AMMI biplot showed that genotypes were adaptable and relatively stable were planted in five planting locations, namely Biru Lancor and Tinombo. SEM test results showed that the yield component has an effect on production yield, where the tuber weight above the average will give relatively more onion yields and genotypes planted in relatively low locations, soil pH above 6 and dusty clay soil conditions will produce relatively more red onions and quality.
OPTIMASI PEMBACAAN SUHU KAMERA TERMAL MENGGUNAKAN REGRESI LINIER Sevia Indah Purnama; Irmayatul Hikmah; Mas Aly Afandi; Elsa Sri Mulyani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.791 KB) | DOI: 10.30598/barekengvol15iss1pp127-136

Abstract

Fever is one of the symptoms of a person with Covid-19. Body temperature must be checked e before entering crowded areas such as schools, offices, shops, and hospitals. It is a mandatory protocol that must be done. One of the tools that can be used to check body temperature is a thermal camera. Thermal cameras have the disadvantage of a high temperature reading error. This is because the thermal camera used has a low resolution. This study aims to reduce the value of the temperature reading error on the thermal camera using the linear regression method. The linear regression method is able to reduce the error rate of temperature readings by 5.27% at 36 ° C reading. The reduction in reading error also occurred by 5.27% at 37 ° C and 6.44% at 38 ° C. Based on the results obtained, this study shows that linear regression can be applied to thermal cameras and provides a decrease in the error rate of temperature readings on thermal cameras
PENERAPAN PETRI NET PADA SISTEM ARUS LALU LINTAS Sri Rejeki Puri Wahyu Pramesthi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.51 KB) | DOI: 10.30598/barekengvol15iss1pp193-202

Abstract

Kemacetan yang terjadi di Kota Surabaya dipicu oleh pertumbuhan kendaraan yang tidak sebanding dengan kapasitas jalan. Untuk mengurangi kemacetan tersebut, pemerintah kota telah membangun banyak ruas jalan baru, diantaranya pembanguna The congestion that occurs in the city of Surabaya is triggered by the growth of vehicles that are not proportional to road capacity. To reduce congestion, the city government has built many new roads, including the construction of the Ahmad Yani road frontage road, which is divided into east and west sides, each 4 km long. The purpose of this article is to obtain a traffic flow system simulation at one of the roundabouts on Jalan Ahmad Yani Surabaya and to build a coverability tree. This article uses the petri net application to simulate a traffic flow system and represent it in a matrix form on the traffic flow system, and build a coverability tree. The use of petri nets can help form a traffic flow system simulation at one of the roundabouts on Jalan Ahmad Yani Surabaya so that the simulation can be obtained, and the results of the matrix representation and coverability tree can be built. n jalur lambat (frontage road) jalan Ahmad Yani yang terbagi atas sisi timur dan barat masing – masing sepanjang 4 km. Tujuan dalam artikel ini memperoleh simulasi arus lalu lintas salah satu bundaran di jalan Ahmad Yani Surabaya dan menganalisisnya serta membangun coverability tree. Artikel ini menggunakan aplikasi petri net dalam membentuk simulasi sistem arus lalu lintas, merepresentasikan ke dalam bentuk matriks pada sistem arus lalu lintas, serta membangun coverability tree. Petri net dapat diaplikasikan ke dalam sistem arus lalu lintas salah satu bundaran di jalan Ahmad Yani Surabaya sehingga dapat diperoleh simulasinya, hasil representasi matriks serta dapat dibangun coverability tree. Sehingga tidak terjadi kekacauan arus lalu lintas saat para pengendara melintasi jalan tersebut dan sekitarnya.
PENDEKATAN ANALISIS DISKRIMINAN PADA PEMBELAJARAN DARING DI MASA PANDEMI COVID-19 Cindy Cahyaning Astuti; Akbar Wiguna; Novia Ariyanti
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.164 KB) | DOI: 10.30598/barekengvol15iss1pp137-146

Abstract

Online learning is solution that implemented in the midst of the COVID-19 pandemic. Since COVID-19 pandemic, the learning process at UMSIDA used 100% online learning with UMSIDA e-learning media.It can accommodate students to carry out distance learning. So far, research has not been carried out readiness of students to take part in online learning during the COVID-19 pandemic. Based on this, this research focuses on knowing the readiness of students to take online lectures during the COVID-19 pandemic using discriminant analysis. Based on the results of the analysis of the predictor variable, the strongest differentiator is the flexibility of lecture time (X1) because the variable with the largest coefficient. This means that the variable time flexibility (X1) has the strongest dividing power against online learning readiness during the COVID-19 pandemic. In addition, it also known that according to the student's perspective, the learning media that makes interaction with lecturers the most easy and the learning media that makes it the most easy to understand the material is using video conferencing (Zoom, Google Meet, etc.). On the other hand, choice of the learning system most chosen by students when the COVID-19 pandemic ends is online system 30% and offline 70%.
ANALISIS SURVIVAL UNTUK PARAMETER SKALA DARI DISTRIBUSI WEIBULL MENGGUNAKAN MLE DAN METODE BAYESIAN Ferra Yanuar; Sisca Wulandari; Izzati Rahmi HG
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (479.091 KB) | DOI: 10.30598/barekengvol15iss1pp147-156

Abstract

Modeling of survival data is necessary and important to do. Survival data is generally assumed to have a Weibull distribution. Bayesian approach has been implemented to estimate the parameter in such this survival analysis. This study purposes to compare the performance of the Maximum Likelihood and Bayesian using Invers Gamma as prior conjugate for estimating the survival function of scale parameter of Weibull distribution. The comparisons are made through simulation study. The best performance of both estimators is chosen based on the lowest value of absolute bias and the mean square error. Two different size samples are generated to illustrate the life time data which are used in this study. This study results that maximum likelihood is the best estimator compared to Bayes with Invers Gamma distribution as conjugate prior.
MATRIKS ATAS RING DERET PANGKAT TERGENERALISASI MIRING Siti Rugayah; Ahmad Faisol; Fitriani Fitriani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (399.685 KB) | DOI: 10.30598/barekengvol15iss1pp157-166

Abstract

Let R be a ring with unit elements, strictly ordered monoids, and a monoid homomorphism. Formed , which is a set of all functions from S to R with are Artin and narrow. With the operation of the sum of functions and convolution multiplication, is a ring, from now on referred to as the Skew Generalized Power Series Ring (SGPSR). In this paper, the set of all matrices over SGPSR will be constructed. Furthermore, it will be shown that this set is a ring with the addition and multiplication matrix operations. Moreover, we will construct the ideal of ring matrix over SGPSR and investigate this ideal's properties.
DESIGN CONTROL OF SURFACE MARINE VEHICLE USING DISTURBANCE COMPENSATING MODEL PREDICTIVE CONTROL (DC-MPC) Sari Cahyaningtias; Tahiyatul Asfihani; Subchan Subchan
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (758.212 KB) | DOI: 10.30598/barekengvol15iss1pp167-178

Abstract

This research studied ship motion control by considering four degrees of freedom (DoF): yaw, roll, sway, and surge in which comprehensive mathematical modeling forming a nonlinear differential equation. Furthermore, this research also investigated solutions for fundamental yet challenging steering problems of ship maneuvering using advanced control method: Disturbance Compensating Model Predictive Control (DC-MPC) method, which based on Model Predictive Control (MPC). The DC-MPC allows optimizing a compensated control then consider sea waves as the environmental disturbances. Those sea waves influence the control and also becomes one of the constraints for the system. The simulation compared the varying condition of Horizon Prediction (Np) and another method showing that the DC-MPC can manage well the given disturbances while maneuvering in certain Horizon Prediction. The results revealed that the ship is stable and follows the desired trajectory
CORRESPONDENCE ANALYSIS PADA HUBUNGAN FAKTOR-FAKTOR YANG MEMPENGARUHI PENDAPATAN PETANI KOPI PAGARALAM Irmeilyana Irmeilyana; Ngudiantoro Ngudiantoro; Desty Rodiah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1080.221 KB) | DOI: 10.30598/barekengvol15iss1pp179-192

Abstract

Pagaralam is one of the coffee-producing districts in South Sumatra (Sum-Sel). Pagaralam coffee farming is a hereditary business, where the majority of land processing is still traditional. This is related to working capital and farmers' income. This study aims to analyze the factors that affect the income of Pagaralam coffee farmers by using correspondence analysis. There are 30 variables or factors studied. Each variable is divided into several categories. The categories of each variable are described graphically with the categories of income variable. Primary data were obtained from 196 respondents who were selected based on purposive sampling technique. There are 13 factors that affect the income of respondents, namely: number of dependents, number of trees, age of the trees, number of female workers from outside the family, frequency of fertilization, frequency of herbicide application, production of harvest, production outside of harvest, gross income, minimum price of coffee beans, the maximum price of coffee beans, economic status and land productivity. There are 8 of the 13 factors that predominantly characterize the profile of net income level of Pagaralam coffee farmers. In general, the factor that must be considered in coffee farming is land productivity which is also related to production costs in land processing and crop production, as well as external factors regarding the market price of coffee.

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