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All Journal Forest Science Warta Rimba AGRIVITA, Journal of Agricultural Science Bantenese Jurnal Pengabdian Masyarakat
Akhbar Akhbar
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ANALISIS KESESUAIAN RENCANA KELOLA DI KESATUAN PENGELOLAAN HUTAN PRODUKSI (KPHP) DAMPELAS TINOMBO Possumah, Virginia Christina; Akhbar, Akhbar; Golar, Golar
Jurnal Warta Rimba Vol 2, No 2 (2014)
Publisher : Universitas Tadulako

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Abstract

The purpose of this study was to know compatibility planning documents of forest production management with techniques and field conditions. The research was conducted at Production Forest Management Unit (KPHP) Model Dampelas Tinombo, Donggala Regency, Central Sulawesi. Study was done by survey and explorative-description methods with qualitative approach. The results showed that documents of forest production management of KPHP Model Dampelas Tinombo compatible with Pedoman Petunjuk Teknis Dirjen Planologi Kehutanan Nomor: P.5/VII-WP3H/2012. Further, communities had high understanding on the planning of forest production management of KPHP Model Dampelas Tinombo. Keywords: Compatibility, Management planning, Production Forest.
IDENTIFIKASI PENGGUNAAN LAHAN DI HUTAN LINDUNG KEBUN KOPI DESA NUPABOMBA KECAMATAN TANANTOVEA KABUPATEN DONGGALA Witno, Witno; Akhbar, Akhbar; Arianingsih, Ida
Jurnal Warta Rimba Vol 2, No 2 (2014)
Publisher : Universitas Tadulako

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Abstract

Kebon Kopi protected forest  is located in the area of Nupabomba village, Tanantovea district, Donggala regency, Central Sulawesi Province with total area is 546.78 ha.  From those lands, there is a significant change of land function. So that the broad of its lands have been changed. It can be proven by the plenty of land use on it. Protected forest is a conservation forest which has a main function as protection of life support systems like water, prevent flooding, control erotion and maintain soil fertility.  This research was aimed to identify the use of land at Kebon Kopi protected forest Nupabomba Village, Tanantovea district, Donggala regency. This research was conducted area at Kebon Kopi protected forest in Nupabomba Village, Donggala regency. The method used in this research was Classification Supervised. Classification Supervised is a process of clarificating or grouping the pixels based on the examples of land  which its of type object and spectral value are known on the image by using Citra Alos year 2009 as its materials and Arc.Gis 10.0 as its operational tool. The research was conducted at Nupabomba village, Tanantovea district, Donggala regency. The result of the research shows that the total forest area is 546.78 ha, which consists of primary forest which has a more dominant region with the area is ​​467.1 ha (85.42%) and secondary forest is ​​68.63 ha (12.55%). Furthermore, the closure of land for plantations covering 8.26 ha (1.51%), the settlement has is 1.55 ha (0.28%), and shrubs covering 0.64 ha (0.11%). And water body area is 0.6 ha (0.10%).   Keywords: Identification, Land Use, Citra Alos year 2009, Kebon Kopi Protected Forest.  
APLIKASI MODEL AR4 PADA PEMETAAN JENIS PENGGUNAAN/TUTUPAN LAHAN MENGGUNAKAN CITRA LANDSAT 8 Akhbar, Akhbar; Arianingsih, Ida
ForestSains Vol 14, No 1 (2016): Desember
Publisher : Universitas Tadulako

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Abstract

The research aims to develop applications AR4 models as a new model in the extraction of the object area in the medium resolution Landsat 8 image in providing land mapping database for the purposes of planning, evaluation and monitoring of the type of use / land cover. Descriptive method was used to assess the value of the object land spectral on based spectral bands Landsat 8 image transformation results. Image transformation using AR4 models, namely a multiband image analysis model developed by Akhbar et.al., in 2013 using Landsat 7 ETM+ and SPOT 5 XS. Research is now put through trials on the AR4 models Landsat 8 image in the same location as a previous study, in the district (Sigi, Donggala, Parigi Moutong) and Palu City with an area of 99,141.12 hectares. Geographically, located at coordinates 119 ° 48 '39.67 "E - 120 ° 1' 2.99" E and 0 ° 42 '5.11" S - 1 ° 5' 15.76" S. Generated imagery Landsat 8 AR4 models with the conformity / suitability of land ≥90% between objects on the image of the transformation and the 50 sample sites tested in the field. So that the AR4 models image of Landsat 8 including the excellent category is used in mapping the type of use / land cover.
ANALISIS VEGETASI MANROVE MENGGUNAKAN (NDVI) PADA EKOSISTEM MANGGROVE DI KECAMATAN BALINGGI KABUPATEN PARIGI MOUTONG Setiawan, Andri; Akhbar, Akhbar; Arianingsih, Ida
ForestSains Vol 15, No 2 (2018): Juni
Publisher : Universitas Tadulako

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Abstract

This study aims to determine the area-level greenness of mangrove ecosystems in Balinggi Sub-district, Parigi Moutong Regency, Central Sulawesi, by using Landsat 8 image data. It is expected to provide information about the normalized difference Vegetation Index (NDVI) of each site that has been analyzed using GIS. The observation was conducted in June –August 2017. The research method used in this study was by assessing the mangrove density or the level of greenness using the vegetation index method through the NDVI formula, which is effective as an initial division of vegetation areas. The NDVI can be an indicator to measure green leaf biomass and leaf area index for the classification of vegetation. Based on the results of Landsat 8 image data of 2016, the total area of mangrove forest vegetation in Balinggi was 163.30 ha and can be classified into three classes of vegetation density, namely: low (26.46 ha), moderate (55.54 ha) and high (80.08 ha). Furthermore, based on the table of Landsat image classification, the low density class has “very good” land use accuracy with a value of 100% while the high and moderate density classes have “good” land use accuracy of 75% and 67%, respectively.
PEMETAAN KESESUAIAN HABITAT JENIS KANTONG SEMAR (NEPENTHES SPP) DI JALUR PENDAKIAN ROREKAUTIMBU SULAWESI TENGAH Sanggur, Yusuf Godefrianus; Akhbar, Akhbar; Muis, Hasriani
Jurnal Warta Rimba Vol 7, No 4 (2019)
Publisher : Universitas Tadulako

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Abstract

Efforts to preserve semar bag plant species are absolutely necessary so that their existence is maintained. However, the problem faced is limited data and information on habitat factors and the suitability of Semar bag habitats that are most suitable as Semar bag plants. This research was conducted for 3 (three) months from March to May 2018, which is located in the Rorekautimbu Mountain Climbing Route in Central Sulawesi, using a purposive sampling method based on the height of the research location where the height of the research pathway starts from 1,700 m.dpl to 2,500 m.dpl. The height of the mountain was then made into three classes with an altitude of 1,700 masl-1,950 masl, 1,950 masl-2,200 masl and> 2,200 masl. The parameters used to find the suitability of Nepenthes spp habitat are height, slope, vegetation density, and distance from the river. From the results of the research and spatial analysis of all the variables, it can be seen that the most suitable habitat of Nepenthes is in class 238-325 with a total of 43 Nepenthes and an area of 388 Ha, quite appropriate to be in the 149-237 class with a total of 5 Nepenthes and the area reaches 654 Ha, while the less suitable are in the 60-148 class with an area of 72 Ha.Keywords: Habitat, Semar Bags (Nepenthes Spp) and Rorekautimbu
PARTISIPASI PETANI DALAM PENGELOLAAN HUTAN KEMASYARAKATAN DI DESA LABUAN TOPOSO KECAMATAN LABUAN KABUPATEN DONGGALA Sagita, Merki Natasya; Akhbar, Akhbar; Muis, Hasriani
Jurnal Warta Rimba Vol 7, No 2 (2019)
Publisher : Universitas Tadulako

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Abstract

Community Forestry (HKm) is a state forest aimed at empowering, increasing the capacity and independence of local communities to obtain the benefits of forest resources optimally and fairly. Community forest management is one solution to improve community welfare and is a concrete form of community participation in the implementation of forestry development. Community participation in community forest management is one of the social capital that has been developed integratively through various creative activities in order to utilize natural resources sustainably and sustainably. The purpose of this study was to determine the level of participation of community forest farmers in Labuan Toposo Village, Labuan Subdistrict, Donggala Regency. The method used in this study is descriptive method. Data collection is done by observation or direct observation in the field and conducting interviews with farmers (Respondents). The population in this study were farmers in Labuan Toposo Village. Sampling in this study using purposive sampling method or with intentional namely by selecting farmers who are members of the Sisere Jaya Forest Farmer Group with 30 respondents. The research data analysis was used to answer the research objectives that had been made using quantitative descriptive and qualitative descriptive analysis. The level of participation in Community Forest Management is classified as high with a percentage of 76.67%, and the level of participation of farmers in community forest management is at the planning stage of entering the Partnership level. Power is channeled between government negotiations and farmers. The government imposes farmers as work partners, they together work together in compiling and implementing work programs.Keywords: Community Forestry, Participation, Forest Farmers, Forest Management
PERUBAHAN TINGKAT KERAPATAN VEGETASI MENGGUNAKAN LANDSAT 8 DI DESA SEDOA KECAMATAN LORE UTARA KABUPATEN POSO Rizki, Muhammad Arya; Akhbar, Akhbar; Misrah, Misrah
Jurnal Warta Rimba Vol 8, No 1 (2020)
Publisher : Universitas Tadulako

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Abstract

The location of the boundary of Sedoa Village is in the north of Parigi Moutong Regency, in the south there is Sigi Regency, in the east of Poso Pesisir District and in the west of Watumaeta Village. Changes in land use change or encroachment. Therefore, research is needed to analyze changes in the level of vegetation density in Sedoa Village, North Lore Subdistrict, Poso Regency using Geographic Information Systems (GIS). This research was conducted for 3 months, from August to November 2019 in Sedoa Village, North Lore District, Poso Regency. The method used in this research is descriptive method with NDVI (Normalized Difference Vegetation Index) analysis to obtain data directly on a computer using Landsat 8 imagery and ArcGis 10.4 software, as well as field surveys to test accuracy with the method of taking coordinate points. Based on the results of the NDVI (Normalized Difference Vegetation Index) change using Landsat 8 imagery recording 20 October 2013 and 3 September 2019 Path 114 Row 61 in Sedoa Village, North Lore District, Poso Regency. Changes in the level of density in the research location on dryland agricultural land cover with an area of 1,021.04 Ha (10.3%), for the shrub category had an area change of 273.06 Ha (2.7%), the secondary dryland forest category changed by 2,077, 37 Ha (20.9%) and changes in the primary dryland forest area of 6,581.82 Ha (66.1%) with a total change of 9,953.29 Ha.Keyword : Descriptive Method With NDVI.
ANALISIS SPASIAL TINGKAT SEBARAN PERAMBAHAN KAWASAN HUTAN PENDIDIKAN UNIVERSITAS TADULAKO Mangil, Wahyu Rizky S; Akhbar, Akhbar; Muis, Hasriani; Arianingsih, Ida; Misrah, Misrah
Jurnal Warta Rimba Vol 8, No 2 (2020)
Publisher : Universitas Tadulako

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Abstract

High population growth has become an important factor in the utilization of forest and land resources. Along with the increase in population growth, the fulfillment of life necessities is also increasing, this condition has directly or indirectly been a causal factor and a trigger factor for pressure on forest and land resources. Identification of encroachment area distribution is needed to formulate strategies for handling and preventing encroachment, so that prevention and monitoring activities can run more effectively and efficiently. Educational forest is an educational facility that aims to support and improve quality. Very important information is needed in the context of educational forest management. Based on data from the Environmental Agency of Donggala Regency (2013), the forest area in Donggala Regency is 284,101 Ha. However, the area of forest cover continues to decline. This is partly due to the activities of rural communities around the forest, especially in the Tadulako University Education Forest area. The method used in this study is the scoring and overlay using ArcGis 10.0 software, as well as the field survey method to obtain coordinates. Based on the results of research conducted in the Tadulako University Forest Education area, it is known that most areas in educational forest areas tend to be prone to encroachment activities. The results of the analysis showed that the area included in the category of high hazard vulnerability was 433.08 ha or 23.88%, medium encroachment level was 839.56 ha or 46.30%, and the vulnerability level low  was 540.59 ha or 29.81%.Keywords : Encroachment, Educational Forest, Scoring, Overlays, Encroachment distribution map
ANALISIS SPEKTRAL TREMBESI (Samanea saman Jacq Merr) MENGGUNAKAN CITRA SPOT 6 DI KAMPUS UNIVERSITAS TADULAKO TONDO PALU Bantali, Aprianti; Akhbar, Akhbar; Arianingsih, ida; Misrah, Misrah
Jurnal Warta Rimba Vol 8, No 3 (2020)
Publisher : Universitas Tadulako

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Abstract

Earthed are a wide variety of shapes as well as a very diverse color, this can be seen in maps as well as satellite imagery. SPOT 6 has a 60 km Coverage, a better resolution of 1.5 m, blue band addition to get a naturally original color image, allowing it to achieve better efficiently with a large coverage collection of over 3 million km2 per day. Maps can be created based on the way and method of each one of them is by looking at the value of the spectral pixel. The purpose of the study is to know the spectral value of the Trembesi tree (Samanea saman Jacq Merr) using the image of SPOT 6 that is on the Tadulako Tondo Palu University  Campus. The method used in this study is by performing image interpretations to be able to recognize the features/characteristics of objects from trambesy (Samanea saman Jacq Merr) by inflicting SPOT 6 imagery and Arcgis 10.0 software, as well as field surveys to obtain coordinate points). Based on the results achieved by SPOT 6 indicates that the spectral pixel value for the trembetic tree design category (Samanea saman Jacq Merr) has the lowest value of 124 while the highest value of 139, for the trembetic tree pole category (Samanea saman Jacq Merr) has the lowest spectral value of pixel 140 while the highest 159, for the spectral value of spectral pixel. The tree categoryral has the lowest value of 160 is at least value 197, and also the spectral pixel value of the composite yield of band321 that is the minimum (100) and maximum (200), average value (133,16), the and the value of stdv (18,51).Keywords : Interpretation, Spectral Pixel Value
ANALISIS TEMPORAL PERUBAHAN TUTUPAN LAHAN TAMAN WISATA ALAM WERA KABUPATEN SIGI PROVINSI SULAWESI TENGAH Vivaldy, Jordy; Wahid, Abdul; Misrah, Misrah; Akhbar, Akhbar; Arianingsih, Ida; Rahmat, Rahmat
Jurnal Warta Rimba Vol 9, No 1 (2021)
Publisher : Universitas Tadulako

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Abstract

Changes in land cover in Wera Nature Park can change every year, therefore the researcher wants to analyze the temporal changes in land cover in the Wera Nature Park, Sigi Regency, Central Sulawesi Province. Data and information regarding changes in forest cover in tourist parks are needed as a consideration for decision making for forest area management. Remote sensing (remote sensing) is a technology that can be applied to obtain data and information about land cover in Wera tourism parks. Analysis of land use change using spatial data that is temporal in nature is very useful to see the locations where changes in land use have occurred. This study aims to see the extent of changes in cover over a period of five years in natural tourism areas from 2015 - 2019 using Landsat 8 imagery.This research was conducted from August 2020 to March 2021, which is located in the Wera Nature Park, Sigi Regency, Central Sulawesi Province. In data collection, there are two sources used, namely primary data which is data that is directly obtained in the field. Secondary data is data that is needed to support primary data. Sekuder data is in the form of Map of Designation of Indonesian Forest Areas according to the Decree of the Minister of Forestry Number 869 / Menhut-II / 2014, the administrative map of Daenggune Village in the form of roads, rivers and others as well as Landsat 8 imagery in 2015 and 2019.Keywords : Land cover in the Wera Nature Park, Landsat 8
Co-Authors AA Sudharmawan, AA Abd. Rasyid Syamsuri Abdul Wahid Agung Dwi Kurniawan, Agung Dwi Amelia, Nur Rizky Andri Setiawan Army Mujiani Bantali, Aprianti Bunga Elim Somba Gandari, Didin Golar Golar Hamka Hamka, Hamka Hasriani Muis Ida Arianingsih Imran Rachman Kasmin, Moh Feisal Rizky Khairussidqih, Sayid Mangil, Wahyu Rizky S Misrah Misrah Mondo, Andro Jamal Muhammad Basir Mursalim Mursalim Naharuddin Naharuddin Nasanah Lamaligi, Michael Eras Rahmat Rahmat Rizki, Muhammad Arya Rusmiyati Rusmiyati, Rusmiyati S, Muardimansah Sagita, Merki Natasya Sanggur, Yusuf Godefrianus Sudirman Daeng Massiri Tudon, Ifert Ehrlick Virginia Christina Possumah Vivaldy, Jordy Wahyu Sedjarawan Witno Witno