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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi
Ummu Farida Muthmainnah
Universitas Sriwijaya
Computer Science & IT Economics, Econometrics & Finance

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Implementasi Knowledge Management Berbasis Model SECI di Perpustakaan Daerah Provinsi Sumsel Ummu Farida Muthmainnah; Putri Salsabilah; Zaskia Aulia Wulandari; Talitha Zafirah; Ken Ditha Tania; Zaqqi Yamani A
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp138-142

Abstract

This study analyzes the implementation of knowledge management based on the SECI model at the Regional Library of South Sumatra Province. The method used is qualitative with a case study design through a systematic literature review and digital content analysis of the website, OPAC INLISLITE, social media, and the DiarySumsel application. The results show that the implementation of the SECI model has been carried out across its four stages. Socialization is realized through direct services and mobile libraries using 4 mobile units. Externalization is evidenced by the documentation of circulation service Standard Operating Procedures (SOPs). The combination is implemented through the integration of INLISLITE and DiarySumsel, which served 23,946 users. Internalization is reflected in the adoption of digital systems by librarians and users. Supporting factors include technology availability, management commitment, and extensive service coverage. The challenges faced are limited trained human resources, suboptimal technology utilization, and low community information literacy.
Penerapan Association Rule Menggunakan Algoritma Apriori untuk Rekomendasi Strategi Penjualan pada UMKM Toko Pempek Putri Salsabilah; Ummu Farida Muthmainnah; Zaskia Aulia Wulandari; Talitha Zafirah; Ken Ditha Tania; Alsella Meiriza
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp192-197

Abstract

Pempek Ceria SME has a growing number of daily sales transactions; however, these data have not been optimally utilized to support sales strategies. This situation highlights the need for transaction data analysis to understand customer purchasing patterns and develop more effective promotional strategies. Therefore, this study focuses on applying association rules using the Apriori algorithm to provide sales strategy recommendations for Pempek Ceria SME. The analysis was conducted using RapidMiner software on 317 transactions from October to December 2025, with a minimum support of 15% and a minimum confidence of 65%. The results show two association rules that meet these criteria: the combination of Pempek Adaan and Orange Juice, with a support of 28% and confidence of 72%, and the combination of Pempek Kapal Selam and Sweet Iced Tea, with a support of 27% and confidence of 70%. These findings indicate that the association rule method based on the Apriori algorithm can identify relationships between menu items frequently purchased together. By understanding these purchasing patterns, Pempek Ceria SME can optimize bundling strategies and product recommendations to improve promotional effectiveness and sales.
Co-Authors Alsella Meiriza Ken Ditha Tania Putri Salsabilah Talitha Zafirah Zaqqi Yamani A Zaskia Aulia Wulandari