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All Journal Informatika Al-MIKRAJ: Jurnal studi Islam dan Humaniora Dikdimas : Jurnal Pengabdian Kepada Masyarakat
Yuliansyah, Chandra
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Social Sciences Other

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Mengoptimalkan Penjualan Online Melalui Teknik Data Mining (Studi Kasus E-Commerce) Apriana, Diwi; Yuliansyah, Chandra
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol 4 No 02 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v4i02.4774

Abstract

The aim of this research is to optimize online sales through data mining techniques (e-commerce case study). This type of research is a literature review. Data collection with documentation. Data analysis with SLR. Research result. Research results The use of data mining techniques in optimizing online sales, especially in the context of e-commerce, can provide significant benefits for companies. By analyzing purchasing patterns and consumer behavior using data mining algorithms, companies can identify customer trends and preferences, improve promotional targeting, and optimize marketing strategies. This not only improves operational efficiency, but also results in a significant increase in sales. Thus, the integration of data mining techniques becomes a necessity for e-commerce companies that want to remain competitive and successful in an increasingly competitive market
Implementasi Data Mining Untuk Menentukan Kelayakan Penerimaan Bedah Rumah Menggunakan Algoritma K-Means Fakultas Ilmu Komputer Universitas Pasir Pengaraian Dona, Dona; Sabri, Khairul; Yasdomi, Kiki; Rifqi, Mi’rajul; Yuliansyah, Chandra; Susmita, Afnes
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.7828

Abstract

The house renovation program is a government program, namely the Public Housing and Settlement Area Office, which is shown to rehabilitate or repair community houses that are not habitabel. This program is often a problem in Bangun Purba Village because when determining house renovation assistance, it is still by looking or relying on thoughts and predictions for people who will get assistance, so that the assistance that will be distributed is not on target. This house renovation program aims to provide welfare for the poor to build or renovate houses that are not habitabel. Therefore, the author created a Data Mining system to determine the feasibility of receiving home renovation using the K-Means algorithm using the PHP programming language and MySQL database. The K-Means method utilizes training data to generate probabilities such as each grouping for different classes, so that the probability values of the grouping can be optimized to determine the eligibility for receiving home surgery assistance based on the grouping process carried out by the K-Means method.
Mengoptimalkan Penjualan Online Melalui Teknik Data Mining (Studi Kasus E-Commerce) Apriana, Diwi; Yuliansyah, Chandra
AL-MIKRAJ Jurnal Studi Islam dan Humaniora Vol. 4 No. 02 (2024): Al-Mikraj, Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v4i02.4774

Abstract

The aim of this research is to optimize online sales through data mining techniques (e-commerce case study). This type of research is a literature review. Data collection with documentation. Data analysis with SLR. Research result. Research results The use of data mining techniques in optimizing online sales, especially in the context of e-commerce, can provide significant benefits for companies. By analyzing purchasing patterns and consumer behavior using data mining algorithms, companies can identify customer trends and preferences, improve promotional targeting, and optimize marketing strategies. This not only improves operational efficiency, but also results in a significant increase in sales. Thus, the integration of data mining techniques becomes a necessity for e-commerce companies that want to remain competitive and successful in an increasingly competitive market
Socialization of Digital Innovation Strategies to Enhance SME Sales and Community Self-Sufficiency in Kayu Manis Village Murlena, Murlena; Andayani, Nurfitri; Yuliansyah, Chandra; Andiani, Lia; Hidayat, Rachmat; Bainamus, Putri Milanda; Susanto, Edy; Aprilyanti, Cindy; Ramadana, Radiyah; Maslukin, Maslukin
DIKDIMAS : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 3 (2024): DIKDIMAS : JURNAL PENGABDIAN KEPADA MASYARAKAT  VOL 3 NO 3 DECEMBER 2024
Publisher : Asosiasi Profesi Multimedia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/dikdimas.v3i3.309

Abstract

This community service focuses on empowering Micro, Small, and Medium Enterprises (MSMEs) in Kayu Manis Village, Rejang Lebong Regency, Bengkulu Province, through digital transformation to improve sales performance and promote community self-sufficiency. The study utilizes a qualitative method with a case study approach, combining direct observation, interviews with MSME owners, and socialization activities conducted during the Community Service Program (KKN). The findings reveal that adopting digital strategies, such as digital marketing, digital transaction recording, and social media platforms, has led to significant improvements in the operational efficiency and revenue of MSMEs in the village. Additionally, the use of digital tools helps minimize risks associated with financial data loss while expanding the market reach of MSMEs. These results highlight the effectiveness of digital transformation in addressing challenges faced by MSMEs, fostering their growth, and enhancing community welfare. This initiative demonstrates the critical role of technology in supporting economic development and sustainability, particularly in rural areas. The outcomes of this program serve as a valuable model for implementing similar efforts in other regions facing comparable challenges.
Co-Authors Andayani, Nurfitri Andiani, Lia Apriana, Diwi Aprilyanti, Cindy Bainamus, Putri Milanda Dona, Dona edy susanto Kiki Yasdomi Maslukin, Maslukin Murlena, Murlena RACHMAT HIDAYAT Ramadana, Radiyah Rifqi, Mi’rajul Sabri, Khairul Susmita, Afnes