Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Ceddi Journal of Information System and Technology (JST) Center of Economic Students Journal (CSEJ)
Aditya Halim Perdana Kusuma
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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

Found 2 Documents
Search

 1 
Python-Powered Precision: Unraveling Consumer Price Index Trends in Makassar City through a Duel of Long Short-Term Memory and Gated Recurrent Unit Models Abd. Rahman; First Wanita; Rose Arisha; Aditya Halim Perdana Kusuma; Azhary, Zulmy
Ceddi Journal of Information System and Technology (JST) Vol. 2 No. 2 (2023): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v2i2.44

Abstract

This research aims to carry out a predictive analysis of the Consumer Price Index in the city of Makassar to anticipate possible impacts on inflation and deflation in the future. The Consumer Price Index is an indicator that can be used as a basis for measuring changes in the prices of goods and services purchased by consumers which have an impact on inflation in a region. The CPI is very useful for knowing the level of increase in prices, services, and income, as well as measuring the amount of production costs. This data was obtained through the official website of the Central Statistics Agency (BPS) for the Makassar city area. The methods used in this research are Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). The results of this research show that based on analysis and testing, the LSTM model has an MAE of 1.0849 and the GRU model has an MAE of 0.9915, which shows that there is no significant difference between the two methods and both methods can work very well, however, The lowest error value was obtained in the GRU model using a 70:30 dataset ratio, 9 number of sequences, 16 neurons in hidden layer 1 and 32 neurons in hidden layer 2, and 1000 number of epochs.
Pengaruh Harga, Online Customer Review dan Online Customer Rating Terhadap Keputusan Pembelian Case Handphone Pada Marketplace Shopee: Studi Kasus Mahasiswa FEB UMI Nurul Hikma Ramadhani Putri; Masdar Mas'ud; Aditya Halim Perdana Kusuma
Center of Economic Students Journal Vol. 8 No. 2 (2025): April-June (2025)
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56750/x4wrg750

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh variabel harga, online customer review (OCR), dan online customer rating (OCRt) terhadap keputusan pembelian produk case handphone di platform Shopee. Responden dalam penelitian ini adalah mahasiswa Fakultas Ekonomi dan Bisnis Universitas Muslim Indonesia yang merupakan pengguna aktif Shopee. Sampel berjumlah 92 orang yang dipilih menggunakan rumus Slovin. Metode penelitian yang digunakan adalah kuantitatif asosiatif dengan teknik analisis regresi linear berganda. Hasil penelitian menunjukkan bahwa ketiga variabel independen, baik secara parsial maupun simultan, berpengaruh positif dan signifikan terhadap keputusan pembelian. Koefisien determinasi (R²) sebesar 0,564 menunjukkan bahwa 56,4% variasi keputusan pembelian dapat dijelaskan oleh harga, online customer review, dan online customer rating, sedangkan sisanya dipengaruhi faktor lain.
Co-Authors Abd. Rahman Azhary, Zulmy First Wanita Masdar Mas'ud Nurul Hikma Ramadhani Putri Rose Arisha