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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Journal Of Human And Education (JAHE)
Windi Maharani
Universitas Islam Negeri Sumatera Utara
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Peran Mahasiswa KKN UINSU 143 Dalam Meningkatkan Pemberdayaan Masyarakat Dan Kualitas Pendidikan (Studi Kasus Pada Masyarakat Desa Sidomulyo) Rani Rufmana Pohan; Windi Maharani; Yuzaidi M.TH; Muhammad Hafidzh; Rika Dinda Lestari; Alpi Syahrin Sagala
Journal Of Human And Education (JAHE) Vol. 3 No. 2 (2023): Journal Of Human And Education (JAHE)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v3i2.283

Abstract

Penelitian ini bertujuan untuk mengungkap peran mahasiswa KKN UINSU 143 dalam meningkatkan pemberdayaan masyarakat dan kualitas pendidikan, dengan fokus pada studi kasus di Desa Sidomulyo. Penelitian ini menggunakan pendekatan kualitatif dan metode pengumpulan data melalui wawancara, observasi, dan analisis dokumen. Hasil penelitian menunjukkan bahwa mahasiswa KKN UINSU 143 telah memainkan peran yang signifikan dalam pemberdayaan masyarakat Desa Sidomulyo. Mereka telah melaksanakan berbagai kegiatan. Selain itu, mereka juga berkontribusi pada peningkatan akses dan kualitas pendidikan dengan mengadakan program pembelajaran tambahan dan revitalisasi sarana pendidikan. Dalam konteks pemberdayaan masyarakat, mahasiswa KKN UINSU 143 juga berperan dalam meningkatkan kesadaran masyarakat tentang hak-hak mereka dan memberikan dukungan untuk mengembangkan usaha kecil dan menengah. Hasil penelitian ini memberikan wawasan yang berharga tentang kontribusi mahasiswa KKN dalam pembangunan komunitas lokal dan peningkatan kualitas pendidikan, serta memperkuat argumen pentingnya program KKN sebagai alat pembelajaran yang efektif dan berkelanjutan.
Determining Sales Patterns of Beauty Products Using the Apriori Algorithm in Data Mining Windi Maharani; Raissa Amanda Putri
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9308

Abstract

The use of data mining technology is a must to extract information that can help in making better decisions, especially in the beauty product industry, where competition is getting tougher. Changes in lifestyle and an increase in people's income lead to an increase in public consumption of beauty products. From these problems, a data mining system was created to determine the sales pattern of beauty products using the Apriori algorithm method. The goal is to get information about products that are often purchased by consumers so that they can prepare their needs with business strategies. The use of Apriori can perform the process of extracting information from the database to find association rules between a set of data or a combination of items/itemsets. The results of this study formed an application that was built using the Python programming language to analyze product sales at Underprice Skincare stores using the apriori algorithm. The data generated from the application process of data mining will be used as a reference for stores to prepare stock availability and can design the right business strategy to increase sales of beauty products at Underprice Skincare stores.
Co-Authors Alpi Syahrin Sagala Muhammad Hafidzh Raissa Amanda Putri Rani Rufmana Pohan Rika Dinda Lestari Yuzaidi M.TH