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Stability Analysis of SIR Mathematics Model in Shopeepay Later Addiction Case Basir, Choirul; Salma, Anca Almira; Rahmat, Usep
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 9 No. 4 (2024): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v9i4.634

Abstract

This research discusses the case of Shopeepay Later addiction using the SIR mathematics model. Therefore, the purpose of this research is to build, analyze and find out the basic reproduction number (????0) and simulation of the SIR model of Shopeepay Later addiction. The research begins by building the assumptions of the SIR model of Shopeepay Later addiction, finding the equilibrium point, analyzing the stability of the equilibrium point using the jacobian matrix, finding the basic reproduction number (????0), and doing a simulation using Google Colab. The parameters used in this SIR model include the transmission rate parameter (????), the recovery rate parameter (????) the self-control parameter (????1), the promotion parameter (????2), and the application stop parameter (????3). The result of this study obtained the SIR model of Shopeepay Later addiction, one endemic equilibrium point is stable and the basic reproduction number ????0 = −37,29 that is, there is no transmission. Then to get expected conditions from the simulation result, namely given parameter values ???? = 0.5, ???? = 0.4, and ????1, ????2, ????3 = 0.9.
FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS PELAYANAN PERPUSTAKAAN SMAN 6 KOTA TANGERANG SELATAN DENGAN MENGGUNAKAN METODE ANALISIS FAKTOR Rahmat, Usep; Aditama, Aditama; Basir, Choirul
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 3 No 1 (2021)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/sm.v3i1.9295

Abstract

Faktor-faktor yang bisa mempengaruhi kualitas pelayanan terhadap kepuasan pelanggan dapat terbentuk dari proses reduksi berbagai faktor. Dalam penelitian ini, peneliti akan meneliti kondisi yang ada pada Perpustakaan SMA Negeri 6 Kota Tangerang Selatan yang ada di Komplek Pamulang Permai 1 Pamulang Tangerang Selatan Banten. Metode yang akan digunakan adalah metode Analisis Faktor dengan teknik Principal Component Analysis menggunakan software SPSS 22. Ada beberapa dimensi kualitas pelayanan yang dapat mempengaruhi perilaku pelanggan dengan melakukan pengukuran menggunakan instrument SERVQUAL terhadap persepsi pelanggan pada kualitas Tangibles, Reliability, Responsiveness, Assurance, dan Emphaty (Parasuraman, 1988). Pengukuran tersebut selanjutnya akan memberikan penilaian seberapa memuaskan tingkat pelayanan tersebut sesuai harapan pelanggan. Populasi dalam penelitian adalah siswa yang melakukan peminjaman buku di Perpustakaan SMAN 6 Kota Tangerang Selatan dan untuk sampel penelitiannya berjumlah 100. Maka dengan menggunakan metode analisis faktor melalui aplikasi SPSS diketahui bahwa faktor-faktor yang mempengaruhi tingkat kepuasan pelanggan terhadap kualitas pelayanan Perpustakaan SMAN 6 Kota Tangerang Selatan adalah faktor sarana fisik, kehandalan, empati, dan jaminan dengan nilai korelasi masingmasing sebesar 0,725; 0,502; 0,618; 0,850. Sehingga faktor Assurance merupakan faktor yang paling mempengaruhi tingkat kepuasan pelanggan pada layanan perpustakaan
Forecasting Global Palm Oil Prices Using Fuzzy Time Series Markov Chain Approach Rahmat, Usep; Sutedjo, Yenni
International Journal of Quantitative Research and Modeling Vol. 6 No. 4 (2025): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i4.1128

Abstract

Global palm oil prices exhibit a fluctuating pattern, characterized by both upward and downward movements that are influenced by changes in stock levels as well as global demand. These factors are inherently difficult to predict with precision, creating challenges for palm oil entrepreneurs in formulating effective business strategies. To design appropriate strategies, entrepreneurs require comprehensive information on global palm oil prices, including historical, current, and projected data. Moreover, the level of forecasting accuracy is an essential consideration to ensure that the strategies developed are both reliable and effective. This study aims to forecast global palm oil prices using the Fuzzy Time Series–Markov Chain method and to evaluate the predictive accuracy of the resulting price estimates. The dataset used in this research consists of secondary data, namely global palm oil price records spanning the period from December 19, 2024, to March 13, 2025, comprising 50 observations obtained from the id.investing website. The analysis produced forecasted global palm oil prices for the subsequent three-day period, namely March 17-19, 2025, with predicted values of 4533.25; 4513.82; and 4530.37 (in MYR), respectively. The model achieved a Mean Absolute Percentage Error (MAPE) of 0.81%, corresponding to a forecasting accuracy rate of 99.19%.