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ANALISIS POLA KORELASI HARGA DAN VOLUME SAHAM BBCA MENGGUNAKAN ALGORITMA APRIORI Noviyanto Firmansyah, Heru; Alwani, Yazid; Henandra Eka Putra, Dias; Verdinand, Rhenal; Arifin, Muhammad
J-ENSITEC Vol. 11 No. 02 (2025): June 2025
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/j-ensitec.v11i02.13792

Abstract

This study will determine the stock movement pattern of PT Bank Central Asia Tbk (BBCA) using Association Rule Mining according to the Apriori algorithm. The main focus is to investigate the correlation of the lowest price, the highest price, and the trading volume of BBCA shares in one time period. Past stock data is first processed and discretized into categorical data: lowest and highest, on each attribute. The data mining process is carried out using WEKA software to generate association rules with very high confidence values and lift values. Mining produces the top 10 association rules, some of which have 100% confidence values and lift values greater than 1, indicating a very strong relationship between the attributes. For example, it is found that when the lowest price is in the "high" category, the highest price is also high with absolute confidence. These observations indicate that BBCA stock behavior can be inferred through correlations between simple technical variables. This can help investors and market analysts to identify hidden patterns and make informed decisions based on evidence. This approach in the future can be complemented with other technical indicators such as Moving Average and RSI for more accurate predictions. This method offers practical value for investors by revealing hidden patterns and supporting data-driven decision-making, especially when combined with other technical tools like Moving Average and RSI.
Implementasi Sistem Informasi Logistik Barang Masuk dan Keluar Berbasis Web untuk Efisiensi Operasional di BPBD Kabupaten Kudus Verdinand, Rhenal; Setiawan, R.Rhoedy
Al-DYAS Vol 5 No 2 (2026): JUNI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/aldyas.v5i2.8698

Abstract

This community service activity was motivated by the importance of logistics management at the Regional Disaster Management Agency (BPBD) of Kudus Regency in supporting disaster preparedness and response, while the recording and reporting processes that were still carried out manually caused delays in information, data inaccuracies, and difficulties in monitoring stock availability in real time. This activity aimed to implement a web-based logistics information system to improve the efficiency, accuracy, and transparency of logistics management at the BPBD of Kudus Regency. The implementation method included needs analysis through observation and interviews, system design and development, functional testing, as well as user training and assistance. The results of the activity showed that the developed system was able to facilitate the computerized recording of incoming and outgoing goods, provide real-time stock information, and generate logistics reports automatically. The system implementation was proven to reduce recording errors, accelerate the reporting process, and improve operational efficiency. These findings indicate that the digitalization of logistics management provides practical benefits for the BPBD in supporting faster and more accurate decision-making and has the potential to serve as a model for implementing web-based logistics systems in other regional disaster management agencies.