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Development Of Lake Shuji Tourism Potential On Socio-Economic Community In Lembak Village Ningrum, Tia; Oktavia, Maharani; Taufik, Mirna; Utomo, Budi; Heldayani, Eni; Nuranisa, Nuranisa; Rosita, Laili; Asiyah, Siti
Journal of Geography Science and Education Vol. 3 No. 2 (2021): October
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jgse.v3i2.1980

Abstract

The development of tourism potential is currently one of the factors in increasing people's income. The purpose of this study was to determine the development of the tourism potential of Lake Shuji on the socio-economic community in Lembak Village.Qualitative descriptive method, with data collection techniques using observation, interviews, and documentation. Involving eleven informants, general informants namely traders and visitors to Lake Shuji tourism and special informants namely village heads, managers and employees of Lake Shuji tourism were determined using purposive sampling technique. Data analysis carried out in this study is SWOT analysis with data reduction, data display, and conclusiondrawing/verification. The criteria for the validity of the data use (credibility) trust, in addition, checking the validity of the data used there are three, extension of observation, increasing persistence, and triangulation. The results of this study indicate that the potential development carried out in Shuji Lake tourism can increase people's income, absorb labor and create new business opportunities for people who switch professions from rubber farmers as traders in Shuji Lake tourism.Shuji Lake Tourism in Lembak Village is equipped with accessibility in the form of good road conditions, the distance from the highway to the destination is easy to reach, and adequate infrastructure facilities. The views of the local community are quite positive and support the existence of Lake Shuji tourism in Lembak Village.
The Impact of Data-Driven Planning on Teacher Resilience: The Mediating Role of Team Collaboration Ningrum, Tia; Anisah, Anisah; Wildanah, Fifin; Hayati, Nikmah; Irsyad; Septia Rahmalita, Aini; Mansor , Mahaliza
Indonesian Journal of Learning Education and Counseling Vol. 8 No. 2 (2026): March
Publisher : ILIN Institute Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31960/ijolec.v8i2.3322

Abstract

This study aims to examine the effect of data-driven planning on teachers’ resilience through team collaboration in vocational high schools. This study addresses the limited empirical evidence linking data-driven planning to teacher resilience, particularly through collaborative mechanisms. Using quantitative research design, data were collected through a structured questionnaire administered to 482 teachers’ senior high schools in West Sumatra, selected using the proportional stratified random sampling technique. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PL S-SEM) to test both direct and indirect relationships among variables, with reliability assessed through Cronbach’s alpha and composite reliability, and validity evaluated using Average Variance Extracted (AVE).  Data-driven planning is conceptualized as the systematic use of data for instructional and managerial decision-making, team collaboration as structured professional interaction among teachers, and teacher resilience as the ability to adapt and sustain performance under challenges.The findings indicate that data-driven planning has a positive and significant effect on team collaboration, collaboration has a strong positive effect on teacher resilience, and collaboration significantly mediates the relationship between data-driven planning and resilience. These findings highlight the critical role of collaborative practices as a mechanism linking planning processes to resilience outcomes.This study contributes to the existing literature on educational management by integrating data-driven planning, collaboration, and resilience into a single empirical model. Practically, the results suggest that schools should strengthen collaborative data use to enhance teacher resilience.