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Journal : Jurnal Ilmu Dasar

Development Design Labako Batik with Combine Fractal Geometry Dragon Curve and Tobacco Leaf Motif Eka Yuni Wulandari; Kosala Dwidja Purnomo; Ahmad Kamsyakawuni
Jurnal ILMU DASAR Vol 18 No 2 (2017)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1410.076 KB) | DOI: 10.19184/jid.v18i2.5650

Abstract

Labako Batik is a typical batik Jember, derived from the term "La Bako" is the language of Madura that describes the activities of farmers to plant and process the leaves of tobacco. The resulting motives are inspired by the potential of natural resources in Jember such as tobacco, cocoa, dragon fruit, coffee, bamboo, birds and butterflies. The selection of tobacco leaf pattern because Jember Regency as one of the best tobacco producing cities in Indonesia, so that the form of tobacco leaf becomes the most dominant characteristic in making Batako Labako. In recent years the application of fractal forms in batik began to be popularly known as fractal batik. Fractal batik is batik whose design is made with mathematical formulas done with computer technology. Development of Labako batik motif by generating the pattern of tobacco leaves using L-System and then combining with the fractal geometry of dragon curve that has been modeled, using techniques of geometry transformation in Matlab software. Keywords: labako batik, tobacco leaf, fractal, dragon curve, l-system
Application of the Concept Circle in the Software GUI Matlab Sri Ratnawati; Kusno Kusno; Ahmad Kamsyakawuni
Jurnal ILMU DASAR Vol 18 No 1 (2017)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (386.448 KB) | DOI: 10.19184/jid.v18i1.2415

Abstract

Mathematics as a basic science has objects that are abstract, mathematical aimed at understanding the concept by providing the ability to reason logically, systematically, critical, careful and creative so that if the mathematics are taught using the book will be hard to accept students. Junior high school students in general are still difficulties in learning mathematics in particular on the material loop. Therefore, it needs the development of more interactive learning media and can help students in the learning process, one of them with the help of Software Graphic User Interface (GUI) Matlab. The concept of a circle is presented in the form of Software GUI Matlab so that students can use to understand the concepts of geometry with ease and be more independent, and help teachers to explain the concept of the circle in the learning process. The application of the concept of the circle in Matlab GUI Software is done by constructing a circle 1. Concept definition, 2. Elements of the circle, 3. The corners of the circle, 4. Relationships angle at the center of the circle and the angle of the circle, and 5. Nature tangent to the circle . Data construction concept of one to five are arranged in Matlab GUI program to produce instructional media in the form of software.
Saxena-Easo Fuzzy Time Series on Indonesia’s Inflation Rate Forecasting Lutvia Citra Ramadhani; Dian Anggraeni; Ahmad Kamsyakawuni
Jurnal ILMU DASAR Vol 20 No 1 (2019)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (261.92 KB) | DOI: 10.19184/jid.v20i1.6881

Abstract

Saxena-Easo Fuzzy Time Series (FTS) is a softcomputing method for forecasting using fuzzy concept. It doesn’t need any assumption like conventional forecasting method. Generally it’s focused on three important steps like percentage change as the universe of discourse, interval partition, and defuzzification. In this research, this method is applied to Indonesia’s inflation rate data. The aim of this research is to forecast Indonesia’s inflation rate in 2017 by using input from Autoregressive Integrated Moving Average (ARIMA) process, Saxena-Easo FTS, and actual data from 1970-2016. ARIMA is focused on four steps like identifying, parameter estimation, diagnostic checking, and forecasting. The result for Indonesia’s inflation rate forecasting in 2017 is about 5.9182 using Saxena-Easo FTS. Root Mean Square Error (RMSE) is also computed to compare the accuracy rate from each method between Saxena-Easo FTS and ARIMA. RMSE from Saxena-Easo FTS is about 0.9743 while ARIMA is about 6.3046. Keywords: saxena-easo fuzzy time series, ARIMA, inflation rate, RMSE.
Application of Fuzzy TOPSIS Method as a Decision Support System for Achievement Student Selection Vani Krismo Anggoro; Abduh Riski; Ahmad Kamsyakawuni
Jurnal ILMU DASAR Vol 24 No 1 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v24i1.16792

Abstract

Achievement student selection aims to appreciate students who have achieved an achievement, both in the academic and non-academic fields. This activity is carried out in stages, starting from departments, faculties, and universities, to the national level. In the selection process, several criteria were used: GPA, scientific work, presentation, English, and achievements were featured and involved several juries to avoid subjectivity in the assessment. This study aims to get the best results from the decision support system in Achievement student election in the Mathematics Department of Jember University. Therefore, we need the fuzzy TOPSIS method to avoid and minimize problems and to make multi-criteria decision-making easier. This study's ranking results were obtained from the fuzzy TOPSIS method and standardized assessment method (based on higher education guidelines). From the four candidates who participated in this selection, the two methods give different results in the last two ranks. The fuzzy TOPSIS method ranking shows the results sequentially for candidates B, C, A, and D. In contrast, and the standardized assessment method ranking shows the results sequentially for candidates B, C, D, and A. This difference is caused by the value of the criteria factor and the weight of the candidate criteria, but the fuzzy TOPSIS method is simpler than the standardized assessment method. So that it can be recommended for the next period achievement student election at the department, faculty, or university level.