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Contact Name
Prihadi Kurniawan
Contact Email
square@walisongo.ac.id
Phone
+6285642615299
Journal Mail Official
square@walisongo.ac.id
Editorial Address
Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Walisongo Semarang Jalan Prof. Dr. Hamka Kampus II Ngaliyan, Semarang 50185
Location
Kota semarang,
Jawa tengah
INDONESIA
Square : Journal of Mathematics and Mathematics Education
ISSN : 2714609X     EISSN : 27145506     DOI : 10.21580
Core Subject : Education,
Square : Journal of Mathematics and Mathematics Education menerbitkan artikel kajian di bidang pendidikan matematika dan kajian matematika
Articles 5 Documents
Search results for , issue "Vol. 6 No. 1 (2024)" : 5 Documents clear
Penyelesaian Metode Round Off dan Metode Cutting Plane dalam Optimalisasi Produksi Anyaman Rotan UD. Kirana Safitri, Elfira; Basriati, Sri; Mexdika, Raja Putra; Soleh, Mohammad
Square : Journal of Mathematics and Mathematics Education Vol. 6 No. 1 (2024)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2024.6.1.20402

Abstract

UD Kirana is a trading business that produces rattan weaving in Rumbai district which consists of 5 types of products produced, namely guest chairs, terrace chairs, tender chairs, serving hoods and baskets. In the rattan woven production process, UD Kirana cannot predict how many items can be produced each week so that maximum profits have not been achieved.This research aims to find out how goods can be produced every week in order to get maximum profits.The methods used are the Round Off method and the Cutting Plane method. Based on the research result, UD Kirana produced 10 tender chairs, 7 serving hoods and 21 baskets with a profit of Rp. 6.060.000. The Round Off method is more efficient than the Cutting Plane method, this can be seen from the addition of constraints, namely the Round Off method adds two constraints and the Cutting Plane method adds three constraints or gomory constraints.
Penentuan Portofolio Saham Optimal Menggunakan Metode Markowitz Sebagai Dasar Keputusan Investasi Nisardi, Muhammad Rifki; Husain, Hartina; Kusnaeni, Kusnaeni; Resky, Aprizal
Square : Journal of Mathematics and Mathematics Education Vol. 6 No. 1 (2024)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2024.6.1.20441

Abstract

A stock portfolio is a combination of two or more securities invested over a specific period and under certain conditions. This study analyzes the combination of stocks that can be formed into an optimal portfolio using the Markowitz method. The Markowitz method is employed to maximize returns and minimize the risks associated with a portfolio. This method uses a mathematical formulation that allows for adjustments based on risk tolerance levels and expected returns to achieve an optimal portfolio. The data used in this study comprises the monthly closing prices of stocks from five selected companies, namely ICBP, BBCA, TLKM, BBNI, and INCO, for the period from June 2019 to December 2022. The findings indicate a recommended portfolio with the lowest risk, known as the Minimum Variance Portfolio (MVP). The MVP comprises the following proportions: ICBP 36.10%, BBCA 36.28%, TLKM 17.84%, INCO 8.39%, and BBNI 1.39%. This combination of stock proportions yields an expected return of 8.58% and a portfolio risk of 21.52%.Keywords: Markowitz method, Minimum Variance Portfolio, Portfolio Optimization.
Analisis Kestabilan Lokal Model Transmisi Demam Berdarah Dengue Diana, Arista Fitri; Hajar, Muhammad Ibnu; Ikhtiyar, Zakaria Bani; Aulia, Lathifatul
Square : Journal of Mathematics and Mathematics Education Vol. 6 No. 1 (2024)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2024.6.1.21018

Abstract

Dengue fever transmission in Indonesia has an advanced amount. In this article, dynamic model of interaction between human and Aedes aegypti mosquitos is learned. The SEIRRD (Susceptible, Exposed, Infected, Recovered, Deceased) model is used in this article. The prurpose in this model is to describe the stability of dengue transmission, so that we can analyze the developed of epidemic model in mathemtic field. Using NGM method to analyze basic reproduction number and applying Routh-Hurwitz criteria method to show the local stability of model. Then, two equilibrium points, called endemic and non-endemic equilibrium points, are obtained. The result of basic reproduction number is described the stability analysis. If basic reproduction number less then one, the endemic equilibrium point is locally asymptotically stable and otherwise. Local stability analysis at the equilibrium point is determined through parameter analysis. Furthermore, numerical simulations are carried out by fitting the data to obtaine the result of the parameters. The results of numerical simulations explaine the spread of dengue transmission Keywords: Dynamic Model, Epidemic Model, Equilibrium Point, Local Stability, Routh Hurwitz
Prediksi Jumlah Calon Siswa Baru Menggunakan Metode Double Exponential Smoothing Brown (Studi Kasus: SMK Ma’arif NU 1 Purwokerto Tahun Pelajaran 2024/2025) Nurohmah, Siti; Kartika, Dwiani Listya; Muhassanah, Nuraini; Yuniarti, Dwi Ariani Finda
Square : Journal of Mathematics and Mathematics Education Vol. 6 No. 1 (2024)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2024.6.1.21263

Abstract

The number of new students registering at SMK Ma'arif NU 1 Purwokerto from 2010 to 2023 has increased and decreased. This fluctuating pattern is a problem faced in determining strategies to attract new students to register. Large fluctuations in student numbers can cause instability in school revenues, which affects all operational aspects and will impact the school's reputation in the eyes of the community and prospective students. In this regard, it is necessary to take action, namely forecasting the number of new students registering for the 2024/2025 academic year. The aim of this research is to determine the prediction of the number of prospective new students at SMK Ma'arif NU 1 Purwokerto using theDouble Exponential Smoothing Brown in the 2024/2025 academic year. From the research results, it was obtained that the number of new students in the 2024/2025 academic year was based on overall data on students who registered with the best α parameter α = 0.2 with a value ofMAD = 6,02, MSE = 68,37, andMAP= 20.23%, namely 42 students. The forecast for the number of new students registering at SMK Ma'arif NU 1 Purwokerto based on overall data from the school has increased from the previous year. Value resultsMAPshows that the forecasting that has been carried out falls into the category of adequate forecasting method capabilities so that it can be used to predict the number of new students enrolling at SMK Ma'arif NU 1 Purwoketo and the predicted value for the following year can be known.Keywords: predictions, forecasting, new students, Double Exponential Smoothing Brown 
Regresi Data Panel Indeks Pembangunan Manusia Provinsi Kepulauan Bangka Belitung Yulianto, Safa’at; Dwinda, Dede
Square : Journal of Mathematics and Mathematics Education Vol. 6 No. 1 (2024)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2024.6.1.21583

Abstract

The Human Development Index (HDI) isused as tool to measure the success or failure of program aimed at improving the quality of human life. Itserves as determinant of the level of development of a country or region.. in this research, panel data is utilized in the form of a combination of cross-section and time series. This type of data can provide insights into two types of information: inter-unit and inter-time information. Panel data regression is a regression with a data structure in the form of data on the diversity of location aspects alone but also influenced by other factors. The purpose of this study was to determine the factors that affect the quality of life in the Bangka Belitung Islands Province. As a result of this study, the best panel data regression model uses the Random Effect Model (REM). Life expectancy variables, average years of schooling, expected years of schooling and per capita expenditure were able to explain HDI in the Bangka Belitung Islands Province by 99.80%. The panel data regression equations are  IPMit = 4.904 + 0,488 UHHit + 1,322 RLSit + 1,004 HLSit + 0,000 PPit.Keywords: HDI, Random Effect Model, Panel Data Regressioan.

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