Lailan Syaufina

Data warehouse and web-based OLAP for hotspot distribution in Indonesia

This work aims to develop a web-based OLAP (Online Analytical Processing) integrated with a data warehouse for hotspot distribution data. The data warehouse development adopts the three-tier data warehouse architecture. The data are represented in multidimensional model using the star scheme which consists of one data cube with two dimension tables i.e. the dimension time and the dimension location, and number of hotspots as the measure. The application applied OLAP operations including roll-up and drill-down and the results are represented in form of crosstabs and graphs. The concept hierarchy defines the sequence mappings in each dimension. In the dimension time, the sequence ordered from the higher-level of hierarchy to the lowest from year, quarter, to month. Whereas, the sequence in the dimension location is from island, province, to regency. The web-based OLAP can be used to better organize and analyze the hotspot data as well as provide a decision-making supporting in forest fire management.

Forest and Land Fires in Indonesia: Assessment and Mitigation

Abstract Fire has been used in traditional farming in Indonesia for centuries. However, large forest and land fires were experienced after independence era. Since 1997–98, peatland fire, in particular, has been a tremendous environmental disaster in Indonesia, which caused transboundary haze pollution in the ASEAN region and peatland degradation and socioeconomic loss. On the other hand, challenges in fire assessment and mitigation indicate gorgeous responses from academicians, government, private sectors, organizations, as well as local community. Large forest and land fires in Indonesia occur mostly in Sumatra and Kalimantan islands, where large areas of plantation and agricultural development are found. The fire can be classified as ground fire, surface fire, and crown fire. Impacts of the fire on soil, vegetation, and carbon emission have been studied intensively. However, there are still gaps on the fire impact studies on wildlife, air pollution, health, and other socioeconomic problems. Good practices on fire assessment and mitigation will be discussed.

Haze trajectory clusters in South Sumatra in 2015 A simulation using Opentraj

Haze is a negative consequence of forest and land fires that caused many health problems and contributed on global warming. This study aims to generate haze trajectory from peatland fires in South Sumatra in October 2015. We used the HYPLIT model to generate haze trajectories with hotspot sequences as the initial points of trajectory. The simulation was performed using the package Opentraj which is available in R. The experimental results show that haze from fires in South Sumatra affected not only people in this province but also in neighboring provinces namely Jambi and Riau. Haze also reached West Sumatra, North Sumatra and moved to Indian Ocean. K-Means clustering on the dataset with 119,808 haze positions results two dense clusters with the average of height 65.06 m AGL and 22.21 m AGL. Dense clusters cover about 27% to 29% members of all haze trajectories. Haze in two dense clusters are located at low height near initial points of the simulation which is dangerous for human health.

Visualization of spatial decision tree for predicting hotspot occurrence in land and forest in Rokan Hilir District Riau

Visualization is an important issue in datamining to easy understand patterns extracted from dataset. This research applied the Bottom-Up Approach method to develop a visualization module for a spatial decision tree in a geographic information system. Spatial data used in this work consists of nine explanatory layers and one target layers. Explanatory layers include maximum daily temperature, daily precipitation, wind of speed, distance of nearest river, distance of nearest road, land cover, peatland type, peatland depth, income source. The target layer contains hotspot and non-hotspot points that occurred in 2008. The result is the visualization module of spatial decision tree that has three main features including mapping window, interactive window, tree node and tabular visualization for predicting hotspot occurrence.

DETEKSI AREA BEKAS KEBAKARAN HUTAN DAN LAHAN MENGGUNAKAN DATA CITRA RESOLUSI MENENGAH MODIS DENGAN PENDEKATAN INDEKS KEBAKARAN

This research examined the use of fire index algorithms to detect and recognize the burnt area in West Kalimantan by applying the pre-fire and post-fire image comparison technique. The main data used were derived from remotely sensed data MODIS acquired from Januari to April 2014. The examined algorithms utilized the near-infrared (NIR) and short-infrared (SWIR) wavelength spectrums. in the case of forest and land fires, occured the value of NIR decreases as the amount of chlorophyll decrease, while the pixel values and the inceasing value of SWIR will increase due to the rising temperature. The research objective was to the capability of the algorithms in detecting burnt forest and land areas in several selected areas in West Kalimantan, using few indices generated from MODIS data. The examined indices were NDFI (Normalized Difference Fire Index) and MNDFI (Modified Normalized Difference Fire Index), which utilize the reflectance values of band 2 (NIR) and band 7 (SWIR) from MODIS. The study results show that both the NDFI and MNDFI were applicable in detecting burnt area having good performance with the Normalize Distance (D) values larger than 1. Based on D-Value and accuracy assessment, MNDFI algorithm gave better index than the NDFI in detecting both forest and land areas.

Pemanfaatan Penginderaan Jauh untuk Estimasi Stok Karbon di Area Reklamasi PT ANTAM UBPE Pongkor, Kabupaten Bogor

Mining is an environment-altering activity especially on land by reducing landcover and stored carbon. PT ANTAM, a prominent mining company in an industrial scale, is doing reclamation in order to restore the ability of the land to its optimum function. Reclamation in the relation with global warming, is an efforts to mitigate climate change by increasing the ability of land to absorb carbon (revegetation). Therefore land cover monitoring at reclamation area becomes an important thing to do, one way to do it is by using remote sensing. Not only for land cover, remote sensing also can be used to estimate carbon stocks. Based on visual interpretation of google earth image data in 2007, there were five classes of secondary forest at reclamation area of PT ANTAM UBPE Pongkor : class A (tight forest) covering 8,65 ha; class B (medium forest) covering 0,88 ha; class C (sparse forest) covering 1,57 ha; and class D (shrubs) covering 0,92 ha. Meanwhile, the calculation of carbon stocks based on three sampling locations that representing secondary forest classes A, B, and C, resulting estimated average carbon stock in the whole reclamation area of PT ANTAM UBPE Pongkor is 113,79 tons/ha.

Kajian Potensi dan Daya Dukung Taman Wisata Alam Bukit Kelam untuk Strategi Pengembangan Ekowisata

It is believed that ecotourism can increase community welfare and natural resource sustainability. Ecoutourism development in Bukit Kelam natural tourism park (TWABK) need to be based on the function and carrying capacity of the area, so that it must be discovered the object potential and tourism attraction. The study aimed to: (1) identify and analyze the object potential and natural tourism attraction in TWABK; (2) analyze carrying capacity of TWABK for ecotourism development, (3) identify and analyze the stakeholders of TWABK; and (4) formulate the strategies of ecotourism development in TWABK. Analysis guide of ADO-ODTWA Dirjen PHKA 2003 is used to analyze the object potential and natural tourism attraction. The criteria of Physical Carrying Capacity (PCC), Real Carrying Capacity (RCC) and Efective Carrying Capacity (ECC) is used to analyze the carrying capacity of TWABK. Stakeholder Grid is used to analyze the stakeholders and the ecotourism development strategies of TWABK which formulated by using SWOT analysis. Some objects in TWABK are feasible for ecotourism development, which are: bukit Kelam landscape, Kelam ring road, climbing transect, the hill peak, the foothills area, the hillside, spiritual tourism of Maria cave and agro tourism. The ECC of TWABK area for ecoutourism is 196 persons/day, with slope correction factor, soil erosion sensitivity, landsape potential, climate and wildlife disturbance (swallow birds spawn season). The stakeholders of TWABK is divided into four categories, which are: the key players (the ministry of forestry, the ministry of tourism and creative economy, the agency of cultural and tourism of Sintang district, the agency of forestry and plantation of Sintang district and the community),the context setters (the NGOs), the crowd (private sectors) and the subjects (visitors, academics, and refill drinking water company). The ecotourism development strategy formulation of TWABK results 9 strategies, which are: area stabilization, management plan formulation, ecotourism development according to the potency and carrying capacity of the area, publication and promotion, protection of the area, management collaboration, environmental education and counseling, community development,and ecotourism impacts monitoring and evaluation..