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All Journal JPTK: Jurnal Pendidikan Teknologi dan Kejuruan JCES (Journal of Character Education Society) JATI (Jurnal Mahasiswa Teknik Informatika) ABDI MASSA: Jurnal Pengabdian Nasional Kreativitas Pada Pengabdian Masyarakat (Krepa) Income : Digital Business Journal Jurnal Pengabdian Pada Masyarakat IPTEKS
Ketut Widya Kayohana
Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Other

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Analisis Pola Pembelian dan Penjualan Bisnis Menggunakan Algoritma Apriori dalam Studi Market Basket: Analisis Pola Pembelian dan Penjualan Bisnis Menggunakan Algoritma Apriori dalam Studi Market Basket kayohana, ketut widya; Samudra, M Danang; Febiyanti, Ni Luh Putu; Fujiastuti, Eka; dewani, Ni komang
Income : Digital Business Journal Vol. 1 No. 2 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/income.v1i2.3182

Abstract

Using the Apriori Algorima to helps optimize product placement, increase cross-selling opportunities, and improve inventory management and promotions. In-depth insights into purchase patterns can enhance sales, customer satisfaction, and operational efficiency. Enhancing cross-selling strategies: By understanding associations between items purchased together, this research provides insights for improving cross-selling strategies. Businesses can offer relevant product recommendations, whether through in-store placement or online suggestions, to boost sales and enhance the shopping experience. The Apriori method and algorithm are used in analyzing the buying and selling of market baskets. The research findings revealed a significant association between customers who purchase Bread and Coffee together. Support "toast" and "coffee" is 0.023666, which means that 2.3666% of the total 30 transactions includes both itemsets, confidence "toast → coffee" is 0.704403, which means that if customers buy "toast", chances are they also buy "coffee" by 70.4403%, lift "toast → coffee" is 1.472431, which shows that the probability of buying "coffee" increases by 1.472431 times if the customer also buys "toast. This presents an opportunity for businesses to improve sales through strategic product placement, promotions or special offers involving the combination of Bread and Coffee, and optimizing inventory to meet the demand of customers who tend to purchase both items simultaneously
Implementasi Aplikasi Microsoft Power BI Untuk Pengolahan dan Visualisasi Data Strategis Pemilu 2024 Bukran, Bukran; Switrayana, I Nyoman; Kayohana, Ketut Widya; Alfiansyah, Muhamad Wisnu
Jurnal Pengabdian Pada Masyarakat IPTEKS Vol. 1 No. 1: Jurnal Pengabdian Pada Masyarakat IPTEKS, Desember 2023
Publisher : CV. Global Cendekia Inti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/jppmi.v1i1.29

Abstract

This research focuses on the use of Microsoft Power BI by the DPD PKS Lombok Tengah Data Team in processing and visualizing strategic data for the 2024 election to formulate an effective winning strategy. This research begins with a brief background that highlights the increasing importance of data-based decision making in political campaigns. The primary objective was to assess the impact of implementing Microsoft Power BI in improving the team's analytical capabilities and informing strategic decisions for electoral success. The research utilized a comprehensive methodology involving training sessions and practical application of Microsoft Power BI. The results showed significant improvements in the team's proficiency in data analysis and visualization. Achievements include the successful integration of Microsoft Power BI into the election strategy formulation process, empowering the team to make informed decisions based on in-depth data visualization. This research contributes to the ever-evolving world of political campaigns by demonstrating the practical benefits of implementing advanced data processing tools for election success.
Co-Authors Amaria, Marshanda Alfa Bukran Bukran dewani, Ni komang Febiyanti, Ni Luh Putu Fujiastuti, Eka I Nyoman Switrayana M Rizki, M Rizki Muhamad Wisnu Alfiansyah Rustam Asnawi Samudra, M Danang Susilo Talidobel