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BAREKENG: Jurnal Ilmu Matematika dan Terapan
Published by Universitas Pattimura
ISSN : 19787227     EISSN : 26153017     DOI : https://search.crossref.org/?q=barekeng
Core Subject : Economy, Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation
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
Arjuna Subject : Matematika - Matematika Terapan
Articles 15 Documents
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Search results for , issue "Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan" : 15 Documents clear
FLUKTUASI TEMPORAL KELEMBABAN UDARA DI DALAM DAN LUAR EKOSISTEM MANGROVE Dalengkade, Mario Nikolaus
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (807.14 KB) | DOI: 10.30598/barekengvol14iss2pp159-166

Abstract

Modeling air humidity in the mangrove ecosystem using Fourier functions shows a cycle of temporal fluctuations. The cycle is influenced by the intensity of the sun. Graphical modeling of air humidity shows similarities for position 1 and position 3. Starting at 19.00 air humidity is 72% and continues to rise reaching 85.5% at exactly 04.00. Then it declined again by 59.2% at 12.00. Unlike the 9th position starting at 19.00 the value of air humidity is 71.5% and continues to rise reaching 82.5% at exactly 4:00 a.m., and decreases again to reach 65% at 12.00. The difference in the value of air humidity is because position 1 and position 3 are located outside and the edge of the mangrove forest where no or lack of mangrove canopy cover causes the evaporation process to occur very quickly. While position 9 is located in the mangrove forest where the mangrove canopy cover plays an important role in controlling the evaporation process and reducing the intensity of the sun. Besides that cross-choreal testing produces a time‒lag that varies for each position measuring air humidity based on the depth and edge of the mangrove ecosystem.
ESTIMASI PARAMETER MODEL PROBIT PADA DATA PANEL MENGGUNAKAN OPTIMASI BFGS Halistin, Halistin; Ratnasari, Vita; Rahayu, Santi Puteri; Patih, Tandri
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (885.055 KB) | DOI: 10.30598/barekengvol14iss2pp167-180

Abstract

One model that may explain the pattern of the relationship between the categorical dependent variable and the independent variables is probit regression. In the probit regression, the independent variable can be categorical or continuous. Probit regression is using the link function of the standard normal distribution. If the probit regression modeling involves a cross-section data and time series data, it is called probit data panel model. Parameter estimation of random effect probit data panel model is using the maximum likelihood estimation (MLE) method with Gauss Hermite Quadrature approach. Iterative procedure by using BFGS method. BFGS method used to obtain the close form value of the parameter estimates.
ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT Amelia, Amelia; Mulyani, Fitra; Nabilla, Ulya
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1187.294 KB) | DOI: 10.30598/barekengvol14iss2pp181-192

Abstract

Poverty is an inability to meet basic needs measured by expenditure, including rice consumption. Based on data from the Central Statistics Agency (BPS), as much as 95% of Indonesia's population consumes rice as the main food, with an average rice consumption of 102 kg/person/ year (BPS, 2013). Furthermore, BPS stated that almost 1/4 of them or around 25.95 million people were included in the category of the poor population as of March 2018. So the government made a policy to tackle the problem through the program of giving poor family rice (Raskin), namely subsidized rice assistance to households poor. However, in the implementation of the Raskin program, there was a deviation of around 40% of Indonesia's population with a middle-upper social-economic status receiving Raskin and 12.5% ​​of the population with a socio-economic status upon receiving Raskin. Therefore this study aims to analyze the significant factors that affect the status of rice in poor families using binary logistic regression analysis. The location of the study was conducted in the District of West Langsa because the district was one of the districts receiving the most Raskin in the City of Langsa. The data used in this study are primary data and secondary data. The results showed that the factors influencing the status of Raskin's acceptance were education level, floor type, fuel type, food expenses, and frequency of purchasing new clothes with prediction classification prediction of 72.2%.
MODEL DESENTRALISASI DUAL CHANNEL CLOSED-LOOP SUPPLY CHAIN DENGAN PROSES DAUR ULANG PIHAK KETIGA DAN WAKTU TUNGGU PENGIRIMAN Setiyowati, Ririn; Sutanto, Sutanto; Winaro, Bowo
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (643.979 KB) | DOI: 10.30598/barekengvol14iss2pp193-200

Abstract

Dual channel closed loop supply chain (DC-CLSC) is a mathematical model that describes a set of supply chain activities that use two sales channel and used products that have been used by consumers back to manufacturer. In this research, the DC-CLSC model was developed with third-party recycling process and delivery lead time. The model obtained is used to determine the optimal decision variables consisting of wholesale prices, price in the online channel, price from retailers, rewards given to third parties, and the recovery rate. Based on the results of optimal solution and numerical simulation he model obtained is used to determine the optimal decision variables consisting of wholesale prices, prices in the online channel, prices from retailers, rewards given to third parties, and the recovery rate.
CLOSED-LOOP SUPPLY CHAIN WITH DELIVERY LEAD TIME ON DIRECT AND INDIRECT CHANNEL Sulastri, Endang; Setiyowati, Ririn; Siswanto, Siswanto
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.877 KB) | DOI: 10.30598/barekengvol14iss2pp201-210

Abstract

The responsbility of protecting the environment rest with all parties, including manufacturers. Therefore, manufacturers reprocess their used products. Mathematically, it can be explained by closed-loop supply chain (CLSC) model. CLSC is a system that is carried out recycling or remanufacturing. In this study, closed-loop supply chain involves manufacturer and two retailers. Manufacturers sell their product directly to consumers and indirectly through retailers. The purpose of this study is to construct an optimal profit function of each actor. With centralized system, the model is a function of price without constraints by notice delivery lead time. The result shows that delivery lead have an impact to profit each actor. The longer delivery lead time decreases the profit.
FUNGSI GREEN UNTUK PERSAMAAN DIFUSI-ADVEKSI DENGAN SYARAT BATAS DIRICHLET Josua, Josua; Noviani, Evi; Fran, Fransiskus
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (976.698 KB) | DOI: 10.30598/barekengvol14iss2pp211-222

Abstract

Diffusion-advection is the process of transportation of matter from one part of a system to another as a result of random molecular motions involving fluid transport processes in the form of mean flow or currents which are driven by gravity or pressure forces and in the form of horizontal motions. Mathematically, diffusion-advection equation can be written as where is concentration of material in the fluid, stands for the advection velocity, and for diffusion coefficient. In this paper, a solution is sought by using the Green’s function concept. The general solution for Green’s function that can be solved in two parts, namely, the principal solution and the regular solution. The principal solution is obtained by applying the Fourier transform to the variable which is denoted by and then calculate the inverse of its transform. A regular solution is obtained based on an inspection approach that is designed on a negative heat source.
ANALISIS PERILAKU MODEL SIR TANPA DAN DENGAN VAKSINASI Pertiwi, Julia Indah; Putri, Arrival Rince; Efendi, Efendi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (940.805 KB) | DOI: 10.30598/barekengvol14iss2pp223-232

Abstract

Vaccination is one of the methods to control and prevent the spread of infectious diseases. SIR model (susceptible, infected, recovered) without and with vaccination were developed. The behavior of the solutions of the two models is analyzed through stability analysis around the equilibrium points. The stability is also associated with a threshold number indicating the population is free or infected. Analytical results are confirmed with numerical results that are presented on the graphic solution and phase portrait. The results of numerical simulations conclude that vaccination is more effective for inhibiting the transmission of the disease than without vaccination
ANALISIS REGRESI LOGISTIK ORDINAL FAKTOR-FAKTOR YANG MEMPENGARUHI STATUS BEASISWA MAHASISWA DI UNIVERSITAS MATARAM Febrilia, Baiq Rika Ayu; Yani, Mi'rojatul Handa; Anwar, Syahril
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (798.048 KB) | DOI: 10.30598/barekengvol14iss2pp233-238

Abstract

This study aims to analyze the factors that influence the status of student scholarships (get or not get a scholarship) using ordinal logistic regression analysis. The subjects involved were 100 students at Mataram University. The data used in this study are primary data collected using the Google Form online survey sheet. The research variable is the status of student scholarships as a response variable and entry path to state universities, the type of parent's occupation, the status of the Indonesia Smart Card (KIP) as its predictor variable. Each variable is divided into several categories on an ordinal scale, so that ordinal logistic regression is a solution in explaining the relationship between these variables. The results showed that the factors influencing the status of student scholarships were college entry channels and the type of parent's occupation. The relationship of these three variables is given by one logit model.
PENGEMBANGAN INSTRUMEN TES BERBASIS ANDROID PADA MATERI RUMUS-RUMUS TRIGONOMETERI KELAS X sundari, elvira; Izzati, Nur
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (917.844 KB) | DOI: 10.30598/barekengvol14iss2pp239-248

Abstract

The government expects practicality in using the budget, especially in conducting testing. With the development of technology in the revolutionary era 4.0, the government was able to reduce the budget for conducting tests, namely by using technology. This study aims to develop an android-based test instrument on the appropriate material for trigonometric formulas for class XI SMA. This type of research is Research and Development by applying the Borg and Gall model. This study involved 32 students of class XI MIPA 4 at SMAN 2 Tanjungpinang. The data analysis technique used was content validity and item analysis. The results obtained were 98.9% categorized as very valid by material experts and 100% categorized as very valid by mDevelopmentedia experts and the results of the item analysis showed valid and reliable, the level of difficulty of the test instrument was 68% categorized as moderate, and the distinguishing power of the test instrument was 59% categorized as good.
METODE KLASIFIKASI JARINGAN SYARAF TIRUAN BACKPROPAGATION PADA MAHASISWA STATISTIKA UNIVERSITAS TERBUKA Hasanah, Siti Hadijah; Permatasari, Sri Maulidia
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1137.936 KB) | DOI: 10.30598/barekengvol14iss2pp249-258

Abstract

Backpropagation Artificial Neural Network (ANN) is an ANN that uses a supervised learning algorithm. The purpose of this study is to determine the parameters and measure the accuracy of the classification accuracy of the student status of the Open University Statistics Study Program. Based on the results, the simulation obtained 15 parameters that can affect student status, including gender, age, education (Senior High School, Diploma, Bachelor, and Magister), marital status, employment status (not working, private employees, entrepreneurs, and civil servants), initial registration year, registration number, semester credit system, and GPA). Meanwhile, for the classification accuracy, the activation function and the learning rate are used minimum mean square of error (MST) on training data. The simulation results are also applied to the testing data with a cut-off point value of 0.3481, so the accuracy of the ROC curve is obtained in the training data for not active students is 99.43% and 99.14% active, while the testing data for not active students is 94.00%. and active 93.94%. So from this research, it can be concluded that ANN Backpropagation is a very good method in applying the classification method.

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