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All Journal Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) J-ENSITEC (Journal of Engineering and Sustainable Technology)
Alwani, Yazid
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering

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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.
PELATIHAN DAN IMPLEMENTASI PLATFORM E-COMMERCE BERBASIS LARAVEL BAGI PENGUSAHA TAS HQ GROUP Alwani, Yazid; Setiaji, Pratomo
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 5 No. 1 (2025): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Juni 2025
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v5i1.4438

Abstract

Digitalisasi menjadi strategi penting dalam meningkatkan daya saing UMKM di era industri 4.0. Kegiatan ini bertujuan untuk memberikan pelatihan serta pendampingan dalam pengembangan platform e-commerce berbasis Laravel kepada pelaku usaha tas di HQ Group. Materi pelatihan mencakup pengelolaan produk, transaksi digital, dan pemanfaatan fitur Laravel untuk mendukung operasional usaha. Metode pelaksanaan menggunakan pendekatan partisipatif, dimulai dari identifikasi kebutuhan hingga implementasi sistem dan pelatihan teknis. Hasil kegiatan menunjukkan bahwa peserta mampu mengoperasikan sistem secara mandiri, serta lebih siap memasuki pasar digital. Platform ini juga meningkatkan efisiensi pengelolaan data dan membuka peluang ekspansi. Studi ini sejalan dengan temuan sebelumnya yang menekankan bahwa pemanfaatan teknologi web berdampak signifikan terhadap kinerja UMKM. Program ini membuktikan bahwa pelatihan berbasis teknologi mampu mempercepat proses transformasi digital di sektor usaha kecil
Co-Authors Henandra Eka Putra, Dias Muhammad Arifin Noviyanto Firmansyah, Heru Pratomo Setiaji Verdinand, Rhenal