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Hutan Lindung Wehea Fajri, Muhamad; Shufi, Muhammad; Putra, Muhammad Wahyu Dwi; Sampoerna, Muhammad Indiana Putra; Malikusysyarqiy, A. Al-Faris; Andri, Syainal; Sari, Yosinta; Ahmad, Istiqomah; Muliana, Heni; Pamela, Ratri Cahya
TAFANI: Jurnal Pengabdian Masyarakat Vol 4 No 1 (2025): TAFANI
Publisher : LP2M UIN Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/tafani.v4i1.10515

Abstract

Forests are ecosystems containing biological resources, primarily dominated by trees, that are interconnected and inseparable from their environment. Communities hold both the rights and responsibilities for forest management, as their livelihoods heavily depend on forests. One example of an indigenous community that continues to uphold traditional forest management based on local wisdom is the Dayak Wehea Indigenous People in Nehas Liah Bing Village, Muara Wahau District, East Kutai Regency. This study aims to explore the role and efforts of the Dayak Wehea community in preserving forest sustainability. The research employs a qualitative method with data collection techniques including observation, interviews, and documentation. The findings reveal that the Wehea Indigenous People have successfully preserved their forests through cultural values and local wisdom, despite facing various challenges such as economic pressures, limited external support, and low youth participation. This success demonstrates that environmental conservation relies not only on technology and government regulations but also on the empowerment of local communities, respect for ancestral values, and a strong spirit of mutual cooperation.
Pemodelan Matematika dan Kendali Optimal Penyebaran Penyakit Malaria di Kabupaten Panajam Paser Utara Ahmad Maulana Syafi'i; Sari, Yosinta
SPECTA Journal of Technology Vol. 9 No. 3 (2025): Specta Journal of Technology
Publisher : LPPM ITK

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Abstract

In this paper, the dynamics of malaria transmission model in Panajam Paser Utara Regency are given. The SISI (Susceptible Human-Infected Human-Susceptible Vector-Infected Vector) model is used in this paper by assuming that the human population can be infected with malaria more than once. The model parameters are estimated based on monthly cumulative data of malaria cases in Panajam Paser Utara Regency in 2023-2024 using the Kalman Filter method. The simulation results show that the comparison of the estimated value and the actual value in cases of humans infected with malaria in Panajam Paser Utara Regency in 2023-2024 produces a MAPE of 6.27% so that it can be concluded that the level of forecasting accuracy is high because it is <10%. Furthermore, two controls are considered to minimize the spread of malaria, namely human contact prevention measures with mosquitoes and mosquito spraying. Then the dynamic optimization problem is solved using the Pontryagin Minimum Principle method. The goal is to reduce the population of infected humans and mosquitoes by minimizing the costs incurred for mosquito prevention and spraying. Numerical results are presented to show that both controls can effectively minimize the spread of malaria.