Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Indonesian Journal of Education and Mathematical Science Prismatika: Jurnal Pendidikan dan Riset Matematika
Fajrin, Dirani Amaris
Unknown Affiliation
Computer Science & IT Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Application of Fuzzy Time Series Chen and Cheng Methods to Forecast Profit in a State-Owned Insurance Company Fajrin, Dirani Amaris; Yurinanda, Sherli; Sarmada, Sarmada
Indonesian Journal of Education and Mathematical Science Vol 6, No 3 (2025)
Publisher : Universitas Muhammadiyah Sumatera Utara (UMSU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ijems.v6i3.26750

Abstract

PT. Taspen (Persero) as a state-owned enterprise in the services sector needs to analyze financial performance to understand the fluctuations in quarterly profit in 2022. This study uses the Fuzzy Time Series (FTS) forecasting method with two approaches, namely Fuzzy Time Series Chen and Fuzz Time Series Cheng, to predict profit and dividend prospects. The analysis stage of Chen's Fuzzy Time Series method includes determining the set of the universe (U), forming intervals, defining fuzzy sets, determining the membership value of each data, fuzzification of data, formation of Fuzzy Logic Relationships (FLR) and Fuzzy Logic Relationship Groups (FLRG), forecasting and defuzzification. Meanwhile, Cheng's Fuzzy Times Series method has similar stages but is equipped with FLRG weighting into the W matrix and standardization of the W matrix*. The results of the calculation of forecasting accuracy through MAPE, MSE, and MAE show that Cheng's Fuzzy Time Series method is more accurate than Chen's Fuzzy Time Series, with a smaller error value. This confirms that Cheng's Fuzzy Times Series method is more reliable in projecting PT. Taspen (Persero). 
PREDIKSI JUMLAH PENGUNJUNG PERPUSTAKAAN MENGGUNAKAN DOUBLE EXPONENTIAL SMOOTHING Sherli Yurinanda; Sarmada; Rozi, Syamsyida; Tasya, Anisya; Fajrin, Dirani Amaris
Prismatika: Jurnal Pendidikan dan Riset Matematika Vol. 6 No. 2 (2024): Prismatika: Jurnal Pendidikan dan Riset Matematika
Publisher : Universitas Insan Budi Utomo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perpustakaan merupakan pusat informasi yang perlu dikelola secara efektif. Banyaknya pengunjung perpustakaan mencerminkan upaya yang dilakukan terhadap peningkatan literasi siswa. Penelitian ini bertujuan untuk memprediksi jumlah pengunjung Perpustakaan Fakultas Sains dan Teknologi, Universitas Jambi dengan menggunakan metode Double Exponential Smoothing Holt yang diramalkan dengan memberi nilai penghalusan pada serangkaian pengamatan sebelumnya dengan nilai parameter 0,775 dan = 0,367. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari data harian perpustakaan Fakultas Sains dan Teknologi Universitas Jambi yang berjumlah 125 data. Prediksi menunjukkan bahwa jumlah pengunjung dalam 5 periode selanjutnya diperkirakan akan meningkat 48 pengunjung. Nilai akurasi peramalan dari data jumlah pengunjung perpustakaan Fakultas Sains dan Teknologi Universitas Jambi menggunakan nilai MAPE (Mean Absolute Precentage Error) sebesar 18,878% artinya model peramalan termasuk kategori baik.
Co-Authors Sarmada Sarmada, Sarmada Tasya, Anisya Yurinanda, Sherli