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All Journal Business, Economics and Entrepreneurship JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Journal of Information Technology (JIfoTech) Indonesian Journal Accounting (IJAcc)
Rendy Amy Saputra
STMIK Pontianak
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Pengaruh Citra Merek Terhadap Daya Beli Konsumen Pada CW Coffee di Kota Pontianak Rendy Amy Saputra
IJAcc Vol 3 No 2 (2022): Indonesian Journal Accounting (IJAcc)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (358.137 KB) | DOI: 10.33050/ijacc.v3i2.2397

Abstract

This study aims to investigate the impact of brand image on the purchasing power of CW Coffee consumers in Pontianak. The respondents in this study were customers who visited CW Coffee in Pontianak. The tools in this study are data quality tests, which include validity tests, reliability tests, simple regression analysis, and hypothesis tests (t-tests). This study shows that brand image has a positive and significant impact on purchasing power
PERTUMBUHAN EKONOMI DAN PENDAPATAN ASLI DAERAH PROVINSI KALIMANTAN BARAT MELALUI PENDEKATAN KAUSALITAS GRANGER Suharlina, Helly; Dwiastuti, Ninuk; Saputra, Rendy Amy; Suradi, Romi
Business, Economics dan Entrepreneurship Vol 6 No 1 (2024): Business, Economics and Entrepreneurship
Publisher : Institut Shanti Bhuana, Program Studi Kewirausahaan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/b.e.e..v6i1.800

Abstract

One of the successes in developing a region can be seen from level of economic growth, for this reason each region always makes efforts either by optimizing the level of economic growth in order to move the region in order to lead to a better life. The aim of this research is to test and analyze the influence of Original Regional Income (PKM) on Economic Growth and to test and analyze the causal relationship between Original Regional Income (PAD) on the Economic Growth of Districts/Cities in West Kalimantan Province. The data used is secondary data, the analysis tools used are Linear Regression and the Grager Causality test. The research results show that Original Regional Income (PAD) has a positive and significant effect on Economic Growth in West Kalimantan Province and there is no causal relationship between Original Regional Income (PAD) and Economic Growth, there is only a unidirectional relationship between Original Regional Income (PAD) with Economic Growth and does not happen vice versa.
IMPLEMENTASI DECISION TREE UNTUK PREDIKSI HARGA RUMAH DI DAERAH TEBET Saputra, Rendy Amy; Pratama, Aditya
Journal of Information System Management (JOISM) Vol. 6 No. 2 (2025): Januari
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2025v6i2.1928

Abstract

Penelitian ini mengimplementasikan algoritma Decision Tree untuk memprediksi harga rumah di Tebet, Jakarta Selatan. Decision Tree dipilih karena kemudahan interpretasi dan kemampuannya dalam menangani data numerik dan kategorikal. Data dikumpulkan dari berbagai sumber, meliputi fitur seperti luas tanah, luas bangunan, jumlah kamar, dan lokasi.Data dipraproses dan dibagi menjadi data latih (80%) dan data uji (20%). Model Decision Tree dilatih dan dievaluasi menggunakan Mean Squared Error (MSE) dan R-squared. Hasil penelitian menunjukkan Decision Tree mampu memprediksi harga rumah di Tebet dengan akurasi yang baik. Visualisasi pohon keputusan memberikan informasi tentang fitur-fitur penting dalam penentuan harga.Penelitian ini diharapkan bermanfaat bagi stakeholder di pasar properti Tebet dalam pengambilan keputusan.
Implementasi Algoritma Linear Regression Untuk Prediksi Harga Rumah di Daerah Tebet Aditya Pratama; Adha Maulana; Rendy Amy Saputra
Journal of Information Technology Vol 5 No 1 (2025): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v5i1.986

Abstract

This research focuses on the issue of house price variation in the Tebet area, South Jakarta, influenced by factors such as land area, building area, number of bedrooms, number of bathrooms, and additional facilities. This price variability makes it difficult for potential buyers and sellers to determine a fair price, potentially resulting in poor decisions and financial losses. Therefore, the main objective of this research is to develop a house price prediction model using the linear regression algorithm, which is expected to provide a more accurate price estimate based on relevant features.as a solution, this research applies the linear regression algorithm to analyze and predict house prices, providing useful information for stakeholders, including buyers, sellers, and real estate agents. The methods used include collecting house price data and related features from the Rumah123 property platform, which are then pre-processed by dividing them into training data (80%) and test data (20%). The model is evaluated using the Mean Squared Error (MSE) and R-squared metrics. The research results show that this model has an R-squared of 0.7713, which means it can explain about 77% of the variation in house prices. This model also predicts the price of a new house with certain features, such as a building area of 100 m² and a land area of 300 m², at around IDR 8,555,000,000. This research is expected to make a significant contribution to understanding the dynamics of house prices in Tebet.
Co-Authors Adha Maulana Aditya Pratama Dwiastuti, Ninuk ROMI SURADI ME Suharlina, Helly