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All Journal JURNAL ILMIAH MATEMATIKA DAN TERAPAN Tadulako Science and Technology Journal
Nur'Eni
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Agriculture, Biological Sciences & Forestry Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Mathematics

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Identifikasi Model Generalized Space-time Autoregressive (GSTAR) untuk Nilai Inflasi di Pulau Sulawesi Nur'Eni; D Lusiyanti; I Gunawan
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 18 No. 1 (2021)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2021.v18.i1.15522

Abstract

This study aims to identify a forecast model for the value of inflation at seven locations on the island of Sulawesi, namely Palu, Makassar, Gorontalo, Kendari, Manado, Mamuju and Palopo. Estimation of the parameters of the GSTAR model is carried out using the Ordinary Least Square (OLS) method with uniform location weights. The analysis results show that the GSTAR model (1,1) can be used to predict the value of inflation in Sulawesi Island.
Analisis Pengaruh Faktor-Faktor Kebijakan Moneter Terhadap Indeks Harga Saham Gabungan (IHSG) di Bursa Efek Indonesia (BEI) H Anam; Nur'eni; H Sain
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 19 No. 2 (2022)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2022.v19.i2.16218

Abstract

Harga saham merupakan sebuah acuan dalam mengambil suatu keputusan khususnya dalam trading di pasar modal. Dalam trading pasar modal tersebut, investor dapat melihat harga saham untuk menentukan seberapa besar dana yang akan investasikan. Pergerakan IHSG dipengaruhi oleh banyak faktor, baik faktor dalam negeri (internal) maupun faktor luar negeri (eksternal). Faktor internal dapat berupa pertumbuhan ekonomi, nilai tukar, inflasi, jumlah uang beredar(M2), tingkat suku bunga, stabilitas keamanan. Pada penelitian ini bertujuan untuk memahami pengaruh variabel kebijakan moneter yaitu kurs, inflasi, suku bunga SBI dan jumlah uang beredar (M2) terhadap Indeks Harga Saham Gabungan (IHSG) di BEI. Teknik analisis yang di gunakan statistik deskriptif, uji asumsi klasik dengan menggunakan model analisis regresi linier berganda dan hasil penelitian menunjukkan bahwa suku bunga SBI berpengaruh positif dan signifikan terhadap IHSG sedangkan kurs dan jumlah uang beredar berpengaruh negatif dan signifikan terhadap IHSG dan tingkat inflasi tidak berpengaruh signifikan terhadap IHSG di BEI.
Sales Prediction of Palu Arshop Clothing Using the High Order Chen Fuzzy Time Series Method Marni Sagap; Nur'eni; Iman Setiawan
Tadulako Science and Technology Journal Vol. 3 No. 2 (2023): Tadulako Science and Technology Journal
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v3i2.17313

Abstract

Introduction: Arshop is one of the clothing stores in Palu City that is in great demand by the community. As one of the many clothing stores in Palu City Arshop to find a strategy to increase sales. One way that can be used is to make predictions to determine strategies to increase sales. Method: Higher-order Chen fuzzy time series method to predict the time series data of Arshop Palu clothing sales. Chen's high-order fuzzy time series is a time series analysis that can capture varied data patterns, one of which is seasonal patterns, and is formed based on two or more data in the past. Results and Discussion: The results of this study indicate that the high-order Chen fuzzy time series method has an accuracy rate of MAPE 15.59%, which is categorized as good the prediction results of the comparison between various orders show that the fourth-order Chen fuzzy time series is the best for predicting clothing sales of Arshop Palu. Conclusion: The prediction of clothing sales at Arshop Palu using the higher-order Chen fuzzy time series method resulted in a MAPE of 15.59%, which shows good accuracy because it is less than 20%. Based on the comparison of the accuracy values of the four orders, the fourth-order FTS proved to be the most effective for predicting the clothing sales of Arshop Palu.
Co-Authors Desy Lusiyanti H Anam H Sain I Gunawan Iman Setiawan Marni Sagap