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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

BAREKENG: Jurnal Ilmu Matematika dan Terapan

barekeng
Website

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 1,248 Documents

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OPTIMIZATION OF LAMPUNG BATIK PRODUCTION USING THE SIMPLEX METHOD Aldino, Ahmad Ari; Ulfa, Marchamah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

The Production and Profit optimization application in this Batik company was built to solve their problems. This application has the ability to process raw material data, working time data, production requirements data and load data for optimization calculations. The basis for calculations carried out includes optimization calculations using the Simplex Method and the tools used are Excel Solver and Python Programming. The output of this application is that how many Batik are produced based on available resources, the total cost of expenses incurred during the production process as well as gross profit and net of sales. This application can increase company profits and the percentage level of profit depending on the price comparison of sales between one product to another

PENGARUH INTERAKSI GENOTIP DAN LINGKUNGAN TERHADAP PENINGKATAN PRODUKTIVITAS TANAMAN BAWANG MERAH MENGGUNAKAN METODE SEM-AMMI Raihanah, Ghina Rizqa; Junaidi, Junaidi; Fadjryani, Fadjryani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

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.

PREDIKSI JUMLAH PESERTA BPJS PENERIMA BANTUAN IURAN (PBI) APBN MENGGUNAKAN METODE FUZZY TIME SERIES CHENG bakri, Rahmawati; Inayati, Syarifah; Yuliana, Yuliana; Hanafiah, Anggi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

BPJS merupakan salah satu badan Penjaminan Kesehatan yang ada di Indonesia. Jenis BPJS terdiri dari BPJS mandiri, BPJS PPU khusus untuk pekerja diperusahaan, dan BPJS PBI khusus masyarakat yang tidak mampu yang iurannya dibayarkan oleh pemerintah yang diditetapkan dalam APBN. Dari ketiga kategori tersebut jumlah kepesertaan BPJS PBI meningkat dari tahun ke tahunnya. Penelitian ini bertujuan untuk memprediksi jumlah peserta BPJS PBI pada tahun 2019 hingga tahun 2021 dengan menggunakan metode Fuzzy Time series Cheng. Fuzzy Time Series Cheng mempunyai cara yang sedikit berbeda dalam penentuan interval, menggunakan Fuzzy Logical Relationship (FLR) dengan memasukkan semua hubungan dan memberikan bobot berdasarkan pada urutan dan perulangan FLR yang sama. Perhitungan akurasi prediksi pada model ini menggunakan MAPE. Hasil dari penelitian ini diperoleh kenaikan peserta BPJS PBI APBN pada tahun 2019 sampai dengan 2021 sebesar 52.071 peserta dengan hasil MAPE 0,97% dan ketepatan hasil prediksi diperoleh sebesar 99,03%.

OPTIMASI PEMBACAAN SUHU KAMERA TERMAL MENGGUNAKAN REGRESI LINIER Purnama, Sevia Indah; Hikmah, Irmayatul; Afandi, Mas Aly; Mulyani, Elsa Sri
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

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 Â° C reading. The reduction in reading error also occurred by 5.27% at 37 Â° C and 6.44% at 38 Â° 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 Pramesthi, Sri Rejeki Puri Wahyu
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

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 â€“ 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.

QUADRATIC PROGRAMMING: AN OPTIMIZATION TOOL FOR BUILDING GLOBAL MINIMUM VARIANCE PORTFOLIO WITH NO SHORT SALE Nurwahidah, Nurwahidah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Quantitative method in portfolio selection is a fascinating issue to make a decision in investment. Portfolio optimization is a very important to manage investment risk. There are many papers dealing with the Markowitz portfolio model, but not all of the papers studied about positive weight portfolio or no short sale constrained portfolio. Positive weight portfolio describes that short sale is allowed for the investor. While, short sale is banned in a certain economic condition due to its ability in decreasing stock market index. Besides, Islamic capital market does not allow speculative transaction such as short selling. Hence, portfolio with no short sale constraint is needed. This study aims to build Global Minimum Variance Portfolio (GMVP) with no short sale constraint. The GMVP with positive asset allocation based on Markowitz model can be built by using quadratic programming with interior point method. The main theory applied in this research is Markowitz portfolio optimization model. Mean and variance of stocks closing price are two things that should be considered in this model. The result shows that the positive weight of GMVP includes 0% of ADRO shares; 2, 65% of ANTM shares; 0% of CTRA shares; 30,27% of EXCL shares; 37,21% of ICBP shares; 3,37% of INCO shares; 13,89% of KLBF shares; 0% of PGAS shares; and 12,61% of PTBA shares.

PENDEKATAN ANALISIS DISKRIMINAN PADA PEMBELAJARAN DARING DI MASA PANDEMI COVID-19 Astuti, Cindy Cahyaning; Wiguna, Akbar; Ariyanti, Novia
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

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%.

TEOREMA TITIK TETAP BERKAITAN DENGAN PEMETAAN KONTRAKSI-F DAN JARAK-Ï‰ PADA RUANG METRIK LENGKAP Pasangka, Irvandi Gorby
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Dalam tulisan ini, akan dibahas mengenai teorema titik tetap yang lebih umum dari teorema titik tetap untuk pemetaan kontraksi-F pada ruang metrik lengkap. Pada teorema yang dibahas, ruang yang digunakan adalah ruang metrik lengkap dan menggunakan konsep jarak- . Pemetaan yang digunakan adalah pemetaan tipe Hardy-Roger kontraksi-F dengan mengambil . Eksistensi titik tetap untuk pemetaan ini dijamin dengan memberikan syarat tambahan, di mana syarat ini akan selalu berlaku jika yang digunakan adalah metrik. Karena setiap jarak- adalah metrik, maka dari teorema yang dihasilkan akan berlaku juga jika yang digunakan adalah metrik. Dari teorema yang dibuktikan, diperoleh beberapa akibat di antaranya adalah teorema-teorema yang telah dibuktikan dalam jurnal lain.

APLIKASI K-FOLD CROSS VALIDATION DALAM PENENTUAN MODEL REGRESI BINOMIAL NEGATIF TERBAIK Widyaningsih, Yekti; Arum, Graceilla Puspita; Prawira, Kevin
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Publikasi ilmiah merupakan salah satu indikator penilaian terhadap kualitas akademisi. Tetapi tidak dapat dipungkiri pembuatan publikasi ilmiah bukanlah suatu hal yang mudah, karena membutuhkan proses pembuatan dan proses penelaahan yang rumit. Tujuan dari penelitian ini adalah untuk mengetahui faktor-faktor yang memengaruhi banyaknya publikasi ilmiah yang dihasilkan oleh mahasiswa PhD Biokimia tahun 1997. Karena variabel dependen merupakan count data, metode analisis yang digunakan adalah Regresi Poisson. Namun karena data mengalami overdispersi, akan digunakan Regresi Binomial Negatif. Perbandingan beberapa model Regresi Poisson dan Binomial Negatif dilakukan untuk menentukan model terbaik dengan k-fold cross validation sebagai validasi model. Hasil penelitian menunjukkan bahwa model terbaik yang didapatkan adalah model Regresi Binomial Negatif dengan variabel independen jenis kelamin, status pernikahan, banyaknya anak dibawah 5 tahun, prestise, dan banyaknya artikel oleh mentor dalam 3 tahun terakhir.

ANALISIS SURVIVAL UNTUK PARAMETER SKALA DARI DISTRIBUSI WEIBULL MENGGUNAKAN MLE DAN METODE BAYESIAN Yanuar, Ferra; Wulandari, Sisca; Rahmi HG, Izzati
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 1 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

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.

Page 26 of 125 | Total Record : 1248

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Yopi Andry Lesnussa, S.Si., M.Si

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+6285243358669

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barekeng.math@yahoo.com

Location
Kota ambon,

Maluku

INDONESIA

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Home Page

OAI Link

Editorial Team

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Contact Name Yopi Andry Lesnussa, S.Si., M.Si

Contact Email yopi_a_lesnussa@yahoo.com

Phone +6285243358669

Journal Mail Official barekeng.math@yahoo.com

Location Kota ambon, Maluku INDONESIA

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Contact Name
Yopi Andry Lesnussa, S.Si., M.Si

Contact Email
yopi_a_lesnussa@yahoo.com

Phone
+6285243358669

Journal Mail Official
barekeng.math@yahoo.com

Location
Kota ambon,

Maluku

INDONESIA