BAREKENG: Jurnal Ilmu Matematika dan Terapan
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
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<![CDATA[EVALUASI E-LEARNING MENGGUNAKAN ANALYTICAL HIERARCHY PROCESS (AHP) ]]>
<![CDATA[Astuti, Cindy Cahyaning]]>;
<![CDATA[Sari, Herlinda Maya Kumala]]>;
<![CDATA[Azizah, Nuril Lutvi]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol14iss1pp001-012
<![CDATA[E-learning is a learning media that is being used in various universities, although it is not used 100% because some still use face to face. Because it is still new, e-learning needs to be evaluated to make it even better. The purpose of this study is to evaluate e-learning to find out how much the method can be accepted by students. The tool we use to evaluate is the Analytical Hierarchy Process (AHP). The results show that students still prefer face-to-face methods rather than e-learning because face-to-face material is more easily absorbed and interactions with lecturers are more interwoven than using e-learning. But e-learning has the advantage of being more flexible than face-to-face, and gathering tasks are easier with e-learning.]]>
<![CDATA[PERAMALAN MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN VERIFIKASI HASIL PERAMALAN MENGGUNAKAN GRAFIK PENGENDALI TRACKING SIGNAL (STUDI KASUS: DATA IHK PROVINSI KALIMANTAN TIMUR) ]]>
<![CDATA[Habsari, Humairo Dyah Puji]]>;
<![CDATA[Purnamasari, Ika]]>;
<![CDATA[Yuniarti, Desi]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol14iss1pp013-022
<![CDATA[This study uses IHK data from East Kalimantan Province in January 2016 to February 2019, which has a patterned trend. Data that shows a trend, can use double exponential smoothing forecasting one parameter from Brown and two parameters from Holt. The purpose of this study is to determine the best double exponential smoothing forecasting method based on the smallest MAPE value and verify the best forecasting method based on the tracking signal control chart. Based on the MAPE value of 0.361% and the control chart tracking signal value, the results of the study show that the best forecasting method is the two-parameter double exponential smoothing method of Holt with parameters and .]]>
<![CDATA[MENGKAJI PERBEDAAN KEMAMPUAN MATEMATIS SISWA MENGGUNAKAN MODEL PEMBELAJARAN KOOPERATIF THINK PAIR SHARE (TPS) DAN MODEL PEMBELAJARAN KONVENSIONAL DI KELAS VIII SMP DITINJAU DARI LEVEL SEKOLAH ]]>
<![CDATA[Palinussa, Anderson Leonardo]]>;
<![CDATA[Thaib, Abdullah]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol14iss1pp023-030
<![CDATA[The purpose of this research is to study the differencesstudents’ mathematical abilities of schools with middle accreditation level and low accreditation level when given the same treatment by applying Think Pair Share (TPS) model compared to conventional models on the circle concept. The Population of this research is schools with a midddle accreditation level and low accreditation level in Ambon. Samples of this research are students on the 8th grade of SMP Al-Wathan Ambon which has middle accreditation level and students on 8th grade of SMP Ass Salam Ambon which has low-level accreditation. This research is experimental research by using Post Test Only Control Group Design. The results on these schools shown that a significant value less than alpha value, in precisely 0,012 < 0,05, which means H0 is rejected and H1 is accepted. This statistical expression means that there is a difference in students’ mathematical abilities through the application of Think Pair Share and Conventional model reviewed from school levels.]]>
<![CDATA[KOMPARASI HASIL BELAJAR SISWA YANG MENGGUNAKAN MEDIA SWISHMAX DAN TANPA SWISHMAX PADA MATERI OPERASI HITUNG PECAHAN DI KELAS VII SMP NEGERI 3 AMBON ]]>
<![CDATA[Talakua, Marlyd]]>;
<![CDATA[Ratumanan, Tanwey Gerson]]>;
<![CDATA[Tamalene, Hanisa]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol14iss1pp031-038
<![CDATA[This study aims to determine whether there are differences between student's learning outcomes who are taught using swishmax as learning media and without using swishmax in the fractional operation material of class VII in SMP Negeri 3 Ambon. The study used experimental research with the pretest-posttest control group as research design. The study was conducted on class VII students of SMP Negeri 3 Ambon. there are two classes in the study. The first is experimental class which is taught using swishmax learning media and the second is control class which is taught without using swhismax. Based on the t-test with the help of the SPSS program, it was obtained t_count = t_3,591325> t_2.0106 = t_tabel, so that H0 is rejected or Ha is accepted. This shows that there are significant differences between the learning outcomes of students who are using Swishmax learning media and those are without using Swishmax learning media. Furthermore, the average scores of the experimental class and control class were 71.90 and 59.46 respectively. Thus, the learning of fractional operations using swishmax provides significantly better results compared to without swishmax.]]>
<![CDATA[PENDEKATAN GEOGRAPHICALLY WEIGHTED ZERO INFLATED POISSON REGRESSION (GWZIPR) DENGAN PEMBOBOT FIXED BISQUARE KERNEL PADA KASUS DIFTERI DI INDONESIA ]]>
<![CDATA[Ismah, Ismah]]>;
<![CDATA[Sumertajaya, I Made]]>;
<![CDATA[Djuraidah, Anik]]>;
<![CDATA[Fitrianto, Anwar]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol14iss1pp039-046
<![CDATA[The number of deaths due to diphtheria is counts data and there is a considerable presence of zeros (excess zeros). Besides, data on the spread of disease are generally geographically oriented or observed in each particular region, which is a type of spatial data. Geographically Weighted Zero Inflated Poisson Regression (GWZIPR), as the development of Geographically Weighted Regression (GWR) and Zero Inflated Poisson (ZIP) models will be used as a model in processing provincial diphtheria data in Indonesia in 2018, with the independent variable percentage of diphtheria cases (X1), percentage of vaccinated numbers (X2) and percentage of the population (X3) in each province in Indonesia. Estimating model parameters uses the method of maximum likelihood estimation. While the weighting function used is fixed bisquare kernel. Data is processed using software R packages lctools. The results were obtained if the model involved all three independent variables, the effect of the three independent variables on the number of deaths due to diphtheria was not significant. This is because there is a strong and significant relationship between independent variables, so that if the model does not involve a variable percentage of the population (population density), the percentage of vaccinated people affects the number of deaths caused by diphtheria significantly in an area. So that the provision of immunization vaccines can reduce the number of deaths caused by diphtheria]]>
<![CDATA[PROFIL 24 JAM KUAT PENERANGAN, SUHU UDARA, KELEMBABAN UDARA DI LUAR DAN DI DALAM HUTAN MANGROVE ]]>
<![CDATA[Dalengkade, Mario Nikolaus]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol14iss1pp047058
<![CDATA[The phenomenon of climate change that occurs in statistical distribution patterns throughout the period of change in variation. These changes would be implications for micro abiotic conditions. As a case study, the abiotic condition profile in mangrove ecosystems is interesting to study in the Fourier function. This study aims to describe the relationship between weather variables such as intensity, air temperature, and humidity using the Fourier function . The results of the study showed that the intensity of position 1 (the outermost point) and position 3 (the edge point) presented a graphic higher than position 9 (the point in) the mangrove forest, with a peak illumination at 12.00 at 51,210 lux. The air temperature at 19.00‒04.00 has decreased and rises again until 13.00 o’clock reached a maximum point of 34,60 C. The air temperature is inversely proportional to the humidity, at 19.00 to 04.00 an increase and again decreased to reached the minimum limit of 59,9% at 13.00 o’clock. In addition, cross-correlation showed of the air temperature and humidity consistently presented thermal diffusion of 1,0 hours from position 1 to position 3, while positions 3 to position 9 are 1,0 hours ‒ 1,2 hours. Data indicate that mangrove forests can reduce vertical thermal diffusion.]]>
<![CDATA[APLIKASI ALGORITMA BACKTRACKING UNTUK MENENTUKAN RUTE OPTIMAL DISTRIBUSI AIR ISI ULANG GONZALO DI KOTA AMBON ]]>
<![CDATA[Lakotany, Jemsry E.]]>;
<![CDATA[Persulessy, Elvinus R.]]>;
<![CDATA[Lesnussa, Yopi Andry]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol14iss1pp059-068
<![CDATA[Distribution is a delivery of goods from an original area to the destination area, wherein the distribution, the problem of travel routes is very important because it can affect the time and cost of doing the distribution. The optimal route itself is a route that minimizes the distance and travel time. This research using the Backtracking Algorithm as part of the Traveling salesman problem method in finding the shortest route or minimum distance. In this research, the Backtracking algorithm is applied to search the minimum route for Gonzalo refill water distribution. The results obtained are the path with the shortest route in Ambon City, such as: Gonzalo - Jln. Karang Panjang - Jln. Pitu ina - Jln. Dr. Kayadoe - Terminal mardika - Jln. Wr. Supratman - Jln. A.Y. Patty - Jln. Said Commands - Jln. Pattimura - Jln A. Yani - Gonzalo, with a long of travel route is 15,301 Km.]]>
<![CDATA[ANALISIS KESTABILAN MODEL PENYEBARAN PENGGUNA NARKOBA DENGAN FAKTOR EDUKASI ]]>
<![CDATA[Husain, Moh Rizal]]>;
<![CDATA[Nurwan, Nurwan]]>;
<![CDATA[Resmawan, Resmawan]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol14iss1pp069-078
<![CDATA[This article discusses the model of drug addicts with education. The analysis begins by constructing the model. Next, the equilibrium point and its stability conditions are determined, and numerical simulation is given at the end. Two equilibrium points obtained, those are the drug-addicts free equilibrium point and the drug-addicts endemic equilibrium point. Then the basic reproduction number ( ) as the expected value of infection per unit time is determined using the Next Generation Matrix approach. Based on the numerical simulation, every population is stable near to the drug-free equilibrium point at , means the population of the drug-addict constantly decrease and on a certain condition will be non-existent, and stable around to drug-endemic equilibrium point at , means the drug-addict population will constantly increase so the drug epidemic occurred. Through the numerical simulation, the biggest education is given, the more population susceptible to education increase which caused the number population of susceptible without education decrease.]]>
<![CDATA[PENERAPAN FUZZY INFERENCE SYSTEM TIPE MAMDANI UNTUK MENENTUKAN JUMLAH PRODUKSI ROTI BERDASARKAN DATA JUMLAH PERMINTAAN DAN PERSEDIAAN (STUDI KASUS PABRIK CINDERELA BREAD HOUSE DI KOTA AMBON) ]]>
<![CDATA[Sahulata, Elisabeth Rossemary Yunita]]>;
<![CDATA[Wattimanela, H. J.]]>;
<![CDATA[Noya Van Delsen, M. S.]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol14iss1pp079-090
<![CDATA[Increased competitive competition in the economic development of each company engaged in the industry requires the company to win the competition by taking into account the inventory of goods to get the maximum profit. Therefore the planning of the number of products is very important to meet all existing requests. Writing and discussion in this study is the application of the Mamdani Fuzzy Inference System to determine the amount of production based on data on the amount of supply and demand at Cinderela Bread House Factory using the help of Matlab R2017a Software to determine the number of bakery products that must be produced. The application of Mamdani type Fuzzy logic in determining the amount of bread production based on the amount of supply and demand data can assist companies in making decisions with an accuracy value of 90.26633% and an error value of 9.77367%.]]>
<![CDATA[APLIKASI PROGRAM LINIER INTEGER 0-1 UNTUK MENYUSUN JADWAL USULAN PIKET SATPOL PP ]]>
<![CDATA[Hermanto, Koko]]>;
<![CDATA[Suarantalla, Ryan]]>;
<![CDATA[Sahdan, Sahdan]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 1 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan ]]>
Publisher : <![CDATA[MATHEMATIC DEPARTMENT, FACULTY OF MATHEMATICS AND NATURAL SCIENCES, UNIVERSITY OF PATTIMURA ]]>
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DOI: 10.30598/barekengvol14iss1pp091-100
<![CDATA[A zero-one integer linear programming with the Lindo software approach can be used to solve the cyclical scheduler method problem. The cyclical scheduling method is one of the scheduling methods that can be used to schedule work picks from Satuan Polisi Pamong Praja (Satpol PP), where each Satpol PP will work within a specified period of 5 days and will repeat periodically. The decision variable solution to the linear programming model is zero or one which becomes the decision of the Satpol PP in choosing the type of schedule. The preparation of this proposed schedule pays attention to the preferred weight of the Satpol PP holidays in each type of schedule that is formed so that the objective function of the linear programming model is to maximize the preferred holiday weights per Satpol PP against the existing schedule types. The results of the analysis obtained an optimal proposal schedule in maximizing the quality of assignments to each shift while taking into account the workload and constraints that exist. Also, it is known comparison between proposal scheduling and scheduling that has been used so far is seen in the aspect of quality, and fairness of the schedule carried out in the proposed scheduling is superior.]]>
