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All Journal Indonesian Journal of Forestry Research Jurnal Hutan dan Masyarakat
Hasnawir Hasnawir
Balai Penelitian Kehutanan Makassar Jalan Perintis Kemerdekaan Km. 16 Makassar (90243), Sulawesi Selatan Tel: 0411-554049, Fax:0411-554058
Agriculture, Biological Sciences & Forestry

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EARLY WARNING OF RAINFALL-INDUCED LANDSLIDES AND DEBRIS FLOWS ON MT. BAWAKARAENG, SOUTH SULAWESI,INDONESIA Hasnawir, Hasnawir
Indonesian Journal of Forestry Research Vol 10, No 1 (2013): Journal of Forestry Research
Publisher : Secretariat of Forestry Research and Development Agency

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Abstract

Rainfall thresholds that form the basis of the landslide warning systems now exist for a few areas in Indonesia. Based on analysis of historical data, threshold performance varies according to precipitation characteristics,  and threshold  exceed corresponds  to a given probability  of  landslide occurrence. Early warnings of landslides and debris flows that include specific information about affected areas, probability of landslide and debris flow occurrence, and expected timing are technically feasible as illustrated by a case study made on Mt. Bawakaraeng, South Sulawesi, Indonesia. Records from 1997 to 2007 of rainfall data and history of landslides and debris flows were collected from the Ministry of Public Works of the government of Indonesia. The threshold, as defined by the lower boundary of the points representing landslides and debris-triggering rainfall events, is expressed by the equations I= 41.85D-0,85  before the large scale landslide on March 26, 2004 and I = 37.71D-0,90after the large scale landslide, where I is the rainfall intensity (mm/hr) and D is the duration of rainfall (hr). According to empirical threshold analysis, the regression curve can be considered as a reliable rainfall intensity- duration threshold for the study area, above which, landslide or debris flow event may occur.
EARLY WARNING OF RAINFALL-INDUCED LANDSLIDES AND DEBRIS FLOWS ON MT. BAWAKARAENG, SOUTH SULAWESI,INDONESIA Hasnawir, Hasnawir
Indonesian Journal of Forestry Research Vol 10, No 1 (2013): Journal of Forestry Research
Publisher : Secretariat of Forestry Research and Development Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/ijfr.2013.10.1.1-10

Abstract

Rainfall thresholds that form the basis of the landslide warning systems now exist for a few areas in Indonesia. Based on analysis of historical data, threshold performance varies according to precipitation characteristics,  and threshold  exceed corresponds  to a given probability  of  landslide occurrence. Early warnings of landslides and debris flows that include specific information about affected areas, probability of landslide and debris flow occurrence, and expected timing are technically feasible as illustrated by a case study made on Mt. Bawakaraeng, South Sulawesi, Indonesia. Records from 1997 to 2007 of rainfall data and history of landslides and debris flows were collected from the Ministry of Public Works of the government of Indonesia. The threshold, as defined by the lower boundary of the points representing landslides and debris-triggering rainfall events, is expressed by the equations I= 41.85D-0,85  before the large scale landslide on March 26, 2004 and I = 37.71D-0,90after the large scale landslide, where I is the rainfall intensity (mm/hr) and D is the duration of rainfall (hr). According to empirical threshold analysis, the regression curve can be considered as a reliable rainfall intensity- duration threshold for the study area, above which, landslide or debris flow event may occur.
Peran Modal Sosial dalam Pendampingan Perhutanan Sosial di Provinsi Maluku Hasnawir, Hasnawir; Supriyanto, Bambang; Nuryanto, Irsan
Jurnal Hutan dan Masyarakat VOLUME 15 NO 1, JULI 2023
Publisher : Fakultas Kehutanan, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/jhm.v15i1.26059

Abstract

Social forestry is a sustainable forest management system as one of the Government's programs in the context of economic equality and reducing poverty levels with a forest target of 12.7 million hectares to be managed by the community. One of the keys to the success of the social forestry program is the availability of social forestry facilitators to facilitate the three social forestry governance systems, namely institutional governance, regional governance, and business governance. The success of social forestry facilitation is not only determined by the quantity of facilitators, but also by the quality of the facilitators. The research was conducted to determine the role of social capital in social forestry facilitation in Maluku Province. As many as 33 respondents from the 2022 facilitators filled out a questionnaire covering three main elements of social capital, namely trust, social networks, and social norms with data analysis using a Likert scale. The results showed that the index number was 91,69% and could be classified in the high assessment category with a total score of 1,180. This shows that social capital has an important role in facilitating social forestry in Maluku Province. Thus, the application of good social capital will be able to empower the community and be very influential in the success of social forestry facilitation.
Co-Authors Bambang Supriyanto Nuryanto, Irsan