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Kebijakan Pengembangan Budidaya Tanaman Bambu untuk Pengelolaan Berkelanjutan DAS Aesesa Flores Noywuli, Nicolaus; Sapei, Asep; H. Pandjaitan, Nora; Eriyatno, Eriyatno
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 9 No 4 (2019): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.9.4.946-959

Abstract

The existence of Aesesa Flores (AF) watershed is very important for people in Ngada and Nagekeo Regency of Flores island. The AF watershed provides water, land use, economic and other environmental services. However, the excessive exploitation is a major threat for the existence of the AF watershed. The degradation of the AF watershed function such as reduction in river debit, increase of critical land, land use change as well as the problem of poverty. The upstream area is intended as a conservation area where Watu Ata nature preservation park is located, the bamboo forest and Bajawa as the capital city of Ngada Regency. The downstream area is not only as capital city of Nageko Regency but also as paddy field area. One of the activity to improve the watershed function is through a comprehensive and sustainable management policy design based on characteristics and carrying capacity of the AF watershed. This research was conducted in April-May 2018 and the the purpose of the study is to analyzed key factors and establishing an alternative for sustainable management policy development of AF watershed using a prospective method. This study using mainly primary data obtained from the seven local experts through the filling of the questionnaire. The result shows that there are 22 attribute factors and it identified as 10 key factors. The main two key factors are bamboo cultivation, processing technology of bamboo, enlargement of bamboo cultivation area and practicing the soil and water conservation technique. The 10 key factors then become input for designing the management policy of AF watershed. Bamboo become the dominant and key factor because bamboo could be developed into biomass energy plant and it serves social, economic and ecological values for the local people of Ngada and Nagekeo Regency. Bamboo cultivation has a good prospect financially for the local people.
Modeling and Projecting Rainfall Patterns in the Jakarta Ciliwung Watershed Using SARIMA and GIS for Flood Risk Assessment Mohamad Mahfudz; Baba Barus; Asep Sapei; Bambang Pramudya Noorachmat
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 16 No 3 (2026): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.16.3.410

Abstract

In recent years, a broad consensus has emerged that global hydroclimatic anomalies have increased rainfall variability in tropical cities. Addressing this, we simulated and predicted rainfall patterns in Jakarta’s Ciliwung River Basin using a hierarchical framework that integrates Seasonal Autoregressive Integrated Moving Average (SARIMA) time series modeling with GIS spatial interpolation. Monthly rainfall records from three stations, Kemayoran (1990–2020), Halim (1990–2018), and Tanjung Priok (1990–2015), were analyzed. Following Ljung-Box and residual tests, the SARIMA (0,1,1)(0,1,1)₁₂ model was selected. Accuracy verification yielded Mean Absolute Percentage Error (MAPE) values below 10% for all stations: 8.4% (Kemayoran), 7.9% (Halim), and 8.1% (Tanjung Priok). Core predictions indicate that by 2030, rainfall intensity will continue declining across all stations, while seasonal rainfall rhythms remain stable. Spatial rainfall pattern comparison between 2025 and 2030 reveals a northward shift of the high rainfall concentration zone. This study has two limitations: only three sample stations were used, and no formal uncertainty quantification was performed for spatial predictions, making the reliability of spatial patterns weaker than suggested by visualizations. Despite these constraints, the proposed statistical-spatial modeling approach supports flood preparedness and adaptive water resource management in data-constrained urban watersheds, provided users account for the stated methodological limitations.