Wida Lestari
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Collaborative Governance dalam Pengelolaan Wisata Alam Green Canyon di Desa Medalsari Kecamatan Pangkalan Kabupaten Karawang Wida Lestari; Eka Yulyana; Lina Aryani
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 7 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.392 KB) | DOI: 10.5281/zenodo.6557133

Abstract

This study aims to determine and analyze collaborative governance in the management of Green Canyon Nature Tourism in Medalsari Village, Pangkalan District, Karawang Regency. In analyzing the author uses Ansel and Gash's collaborative governance theory which has four variable dimensions including initial conditions, institutional design, facilitative leadership and collaboration processes. This research is a descriptive qualitative type with data collection taken through the triangulation technique of interview, observation and documentation and then analyzed through three stages, namely reduction, presentation and conclusion drawing. The results of this study indicate that collaboration in the management of Green Canyon Nature tourism does not run optimally because of the lack of participation and knowledge of the actors involved, both public and private, and the government's role in initiating collaboration with the public and private sector is not visible.
Classification of Neighborhood Unit Cadres’ Satisfaction Levels with the Carik App Using the Naïve Bayes Method in Semper Barat Subdistrict Frencis Matheos Sarimole; Sugiyono Sugiyono; Aditya Zakaria Hidayat; Wida Lestari
International Journal of Information Engineering and Science Vol. 3 No. 1 (2026): February : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i1.8

Abstract

This study aims to classify the level of satisfaction of Dasawisma cadres with the Carik application in West Semper Village by utilizing the Naive Bayes method. Data was obtained through questionnaires, which were compiled based on three main aspects: ease of use, speed of access, and the usefulness of applications in supporting cadre tasks. After the data is collected, a pre-processing and labeling process is carried out, where the level of satisfaction of respondents is categorized into two classes, namely "satisfied" and "dissatisfied". The Naive Bayes algorithm is applied to predict satisfaction classes based on questionnaire answers. The results of the analysis show that the Naive Bayes method is able to perform classification with sufficient accuracy, so that it can be used as an evaluation tool and decision support in the development of the carik application. This method can also help the management understand user perceptions and improve the system based on objective and routine data in line with the needs of field cadres.