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Elfianty , Lena
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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Pemberdayaan Masyarakat Desa Talang Arah Berbasis Teknologi Mandiri Sesuai Dengan Peraturan Pemerintah Daerah Selviani, Diah; Wahyudi , Jusuf; Elfianty , Lena; Maryani , Desy; Rachayu , Imma; Martianti; Lorita, Evi; Alani , Gina Dwi
Jurnal Kewirausahaan dan Bisnis Vol. 4 No. 1 (2022): Februari
Publisher : Universitas Dehasen Bengkulu

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This study aims to analyze and implement community empowerment in Talang Arah Village based on local government regulations that lead to independent use of technology. Community empowerment is a process that aims to improve the quality of life of the community by providing the necessary knowledge, skills and resources so that they can actively participate in local development. Talang Arah Village is an area located in a rural area that still faces various development challenges, including limited access to technology. Local government regulations support community empowerment and encourage the use of technology to improve quality of life and development in the region. This research will use a qualitative approach with a case study method in Talang Arah Village. Data will be collected through interviews with relevant stakeholders, direct observation, and analysis of local government regulatory documents related to community empowerment and technology. The results of this study are expected to provide a better understanding of community needs and the potential for developing technologies that are relevant to local conditions in Talang Arah Village. In addition, this research will also identify obstacles and opportunities in implementing independent technology-based community empowerment in accordance with government regulations.
Implementasi Model Blended Learning Berbasis CAT Bagi Penggerak Literasi Digital Pada Peserta Bimbel CPNS PT Javas Anugerah Perkasa Selviani, Diah; Maryani, Desy; Rachayu , Imma; Elfianty , Lena; Nurhanifah
Jurnal Kewirausahaan dan Bisnis Vol. 3 No. 2 (2021): Agustus
Publisher : Universitas Dehasen Bengkulu

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Increasing digital literacy has become an urgent need in the current digitalization era. This article aims to explain the implementation of a Computer Assisted Testing (CAT)-based blended learning model as a strategy to increase digital literacy in Study Guidance participants for Prospective Civil Servants (CPNS) at PT Javas Anugerah Perkasa. This study uses a community service approach involving instructors and CPNS Bimbel participants as research subjects. The blended learning model is a combination of online and face-to-face learning which aims to optimize the learning process. In implementing this model, CAT is used as an evaluation tool to measure participants' digital literacy levels. This article explains how the blended learning model with CAT can provide an interactive, adaptive learning experience and enable participants to develop their digital literacy skills. The results of this study indicate that the implementation of the CAT-based blended learning model was able to increase the digital literacy of PT Javas Anugerah Perkasa Civil Servants Bimbel Bimbel participants. Participants are able to develop an understanding of the basic concepts of digital literacy, increase their ability to use digital technology effectively, and are able to use information wisely in the context of their work as prospective civil servants. This article contributes to the development of effective learning strategies to improve digital literacy in non-formal education contexts.
Bakti Sosial Penyerahan Sembako Bagi Masyarakat Terdampak Covid 19 Di Kelurahan Betungan Kota Bengkulu Rachayu, Imma; Maryani , Desi; Lorita , Evi; Elfianty , Lena; Selviani , Diah; Luthfia , Izza
Jurnal Kewirausahaan dan Bisnis Vol. 3 No. 1 (2021): Februari
Publisher : Universitas Dehasen Bengkulu

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Based on the results of the activities and evaluation analysis, it can be concluded as follows The service participants were very enthusiastic about participating in the activities, which could increase the knowledge that was very useful for the people affected by covid-19 Bengkulu City and went home also getting the basic necessities they really needed. It is necessary to hold further community service with different materials so that they are more motivated in facing the covid - 19 pandemic era.
APPLICATION OF DATA MINING FOR CLASSIFICATION OF SALES BEST-SELLING PRODUCTS USING THE C5.0 ALGORITHM (Case Study of Syarah Bakery in the West Circle) Perkoso, Bagus Hakim; Asnawati; Elfianty , Lena
Jurnal Komputer Vol 1 No 2 (2023): Januari-Juni
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i2.53

Abstract

Data mining is the process of obtaining useful information from a large database and needs to be extracted so that it becomes new information and can assist in decision making. The purpose of this study is to apply data mining in classifying best-selling product sales using the C5.0 algorithmThe research method used is the Waterfall Method which is serial in nature which starts from the process of planning, analysis, design and implementation of the system. The C5.0 algorithm can handle continuous and discrete attributes. The first thing to do is to calculate the entropy value of all attributes, then calculate the highest information gain value of all attributes so that the attribute that will be used as the root or parent is obtained. The suggestion from the author is that the Data Mining Application can function later to find out which products are of interest and help plan future supply of stock.
Co-Authors Alani , Gina Dwi Asnawati Dani, Ragil Fadilla Rahma Desy Maryani, Desy Diah Selviani, Diah Edison Edison Evi Lorita, Evi Hastuti, Silvia Wahyu Herlina Latipa Sari Imma Rachayu, Imma Jusuf Wahyudi Liza Yulianti Lorita , Evi Luthfia , Izza Martianti Maryani , Desi Maryani , Desy Maryaningsih, Maryaningsih Nurhanifah Perkoso, Bagus Hakim Pratomo, Ardhi Rachayu , Imma Saputra, Harjoni Saputra, Robi Selviani , Diah Tosary, Desi Weeildyalihumarita, Weeildyalihumarita Yupianti , Yupianti Zulita , Leni Natalia