Classification of Investment Opportunities in Semarang City Using the K-Nearest Neighbor Data Mining Method

Bernadus Very Christioko ; Daru ; April Firman ; Dyan Sinung Prabowo ; Alaudin Maulana Hirzan
International Journal of Information Technology an... 📅 2025 Vol 7, No 2 🔗 DOI: 10.24246/ijiteb.722025.01-08
Abstract
Investment is an activity undertaken to allocate funds with the expectation of generating future returns. In a dynamic economic environment, identifying profitable investment opportunities can be a complex task. This study aims to determine potential investment opportunities in Semarang City using a classification method that facilitates business actors or investors in selecting appropriate business sectors. The study utilizes valid data to help investors make informed decisions when establishing a business in the region. Data collection was conducted through research at the Investment and One-Stop Integrated Services Agency (DPMPTSP) of Semarang City, employing a quantitative approach with the K-Nearest Neighbor (K-NN) method. The dataset was divided into training and testing sets with an 80:20 ratio. The experimental results show that the implementation of the K-NN algorithm, conducted using Google Colab, achieved an accuracy of 86% based on 60 testing data points. This demonstrates that the K-NN classification algorithm is effective and produces accurate predictions. Therefore, applying data mining classification techniques to identify investment opportunities can serve as a viable solution to support strategic decision-making for investors.their business development strategies with sector-specific prospects in Semarang City.
Keywords
Investment Opportunity; data mining; KNN method; Classification
How to Cite

Bernadus Very Christioko, et al. (2025). Classification of Investment Opportunities in Semarang City Using the K-Nearest Neighbor Data Mining Method. International Journal of Information Technology and Business (IJITEB), 7(2). https://doi.org/10.24246/ijiteb.722025.01-08

Bernadus Very Christioko; Daru, April Firman; Dyan Sinung Prabowo; Alaudin Maulana Hirzan, "Classification of Investment Opportunities in Semarang City Using the K-Nearest Neighbor Data Mining Method," International Journal of Information Technology and Business (IJITEB), vol. 7, no. 2, 2025.

Bernadus Very Christioko; Daru, April Firman; Dyan Sinung Prabowo; Alaudin Maulana Hirzan. "Classification of Investment Opportunities in Semarang City Using the K-Nearest Neighbor Data Mining Method." International Journal of Information Technology and Business (IJITEB), vol. 7, no. 2, 2025.

Bernadus Very Christioko; Daru, April Firman; Dyan Sinung Prabowo; Alaudin Maulana Hirzan. "Classification of Investment Opportunities in Semarang City Using the K-Nearest Neighbor Data Mining Method." International Journal of Information Technology and Business (IJITEB) 7, no. 2 (2025).

Bernadus Very Christioko, et al. (2025) 'Classification of Investment Opportunities in Semarang City Using the K-Nearest Neighbor Data Mining Method', International Journal of Information Technology and Business (IJITEB), 7(2). doi: 10.24246/ijiteb.722025.01-08.

Bernadus Very Christioko; Daru, April Firman; Dyan Sinung Prabowo; Alaudin Maulana Hirzan. Classification of Investment Opportunities in Semarang City Using the K-Nearest Neighbor Data Mining Method. International Journal of Information Technology and Business (IJITEB). 2025;7(2).

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