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All Journal HAYATI Journal of Biosciences MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Silvikultur Tropika (JST) MEDIA KONSERVASI Indonesian Journal of Geography Jurnal Ilmu Lingkungan Jurnal Keteknikan Pertanian Geoplanning : Journal of Geomatics and Planning Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Tataloka INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Penelitian Sosial dan Ekonomi Kehutanan

Yudi Setiawan

Departemen Konservasi Sumberdaya Hutan Dan Ekowisata, Fakultas Kehutanan, Institut Pertanian Bogor, Kampus IPB Darmaga Bogor, 16680, Indonesia

Author-ID : 524134

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Social Sciences

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Evaluation of Tree Detection and Segmentation Algorithms in Peat Swamp Forest Based on LiDAR Point Clouds Data Irlan; Muhammad Buce Saleh; Lilik Budi Prasetyo; Yudi Setiawan
Jurnal Manajemen Hutan Tropika Vol. 26 No. 2 (2020)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.26.2.123

Application of LiDAR for tree detection and tree canopy segmentation has been widely used in conifer plantation forest in temperate countries with high accuracy, however its application on tropical natural forest especially peat swamp forest hardly found. The objective of this study was evaluated algorithms of individual tree detection and canopy segmentation used LiDAR data in peat swamp forest. The algorithms included (a) Local Maxima (LM) with various variable window size combined with growing region, (b) LM with various variable window size combined with Voronoi Tessellation, (c) LM with various fixed window size combined with growing region, (d) LM with various fixed window size combined with Voronoi Tessellation, and (e) Tree Relative Distance algorithm. The results show that algorithm with the best accuracy was the Tree Relative Distance algorithm with the highest overall F-score of 0.63. The tree relative distance algorithm also provides the highest accuracy in determining three tree parameters which are position, height and diameter of tree canopy with a RMSE value 1.08 m, 6.45 m and 1.19 m, respectively.

HEIGHT, DIAMETER AND TREE CANOPY COVER ESTIMATION BASED ON UNMANNED AERIAL VEHICLE (UAV) IMAGERY WITH VARIOUS ACQUISITION HEIGHT Muflihatul Maghfiroh Islami; Teddy Rusolono; Yudi Setiawan; Aswin Rahadian; Sahid Agustian Hudjimartsu; Lilik Budi Prasetyo
Media Konservasi Vol 26 No 1 (2021): MEDIA KONSERVASI VOL. 26 NO. 1 APRIL 2021
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.26.1.17-27

The forest inventory technique by applying remote sensing technology has become a new breakthrough in technological developments in forest inventory activities. Unmanned Aerial Vehicle (UAV) imagery with camera sensor is one of the inventory tools that produce data with high spatial resolution. The level of spatial resolution of the image is strongly influenced by the flying height of the UAV for a certain camera’s focus. In addition, flight height also affects the acquisition time and accuracy of inventory results, although there is still little research on this matter. The study aims to (a)evaluate the effect of various flying heights on the accuracy of tree height measurements through UAV imagery for every stand age class, (b).estimate the trees diameter and canopy cover for every stand age class. Stand height was estimated using Digital Surface Models (DSM), Digital Terrain Models (DTM) and Orthophoto. DSM and DTM were built by converting orthophoto to pointclouds using the PIX4Dmapper based on Structure From Motion (SFM) on the photogrammetric method to reconstruct topography automatically. Meanwhile, the tree cover canopy was estimated using the All Return Canopy Index (ARCI) formula. The results show that the flight height of 100 meters produces a stronger correlation than the flying height of 80 meters and 120 meters in estimating tree height, based on the high coefficient of determination (R2) and the low root mean square error (RMSE) value. In addition, tree canopy estimation analysis using ARCI has a maximum difference of 9.8% with orthophoto visual delineation. Key words: canopy height model (CHM), digital surface models (DSM), digital terrain models (DTM), forest inventory, UAV image

The Implementation of Analytical Hierarchy Process Method for Determining Livestock Alabio Duck Development Strategy in Rawa Hulu Sungai Utara Yunandar Yunandar; Hefni Effendi; Widiatmaka Widiatmaka; Yudi Setiawan
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

The cultivation of Alabio ducks (Anas Platyrynchos Borneo) so far is still natural and only involves one parameter; furthermore, each location has different characteristics. The hierarchical structure constructed has a ranking of importance as an alternative option for ducks' development in peatland ecosystems. This research aims to formulate a strategy for duck production in the Hulu Sungai Utara Regency. AHP (Analytical Hierarchy Process) method in this study is used to structure the decision-making flow from goals and alternatives and weigh the variables. Data collection was carried out with duck farming experts from academia, farmer groups, and policymakers. This study found that the availability of feed, both sago (0.254) and bran (0.218), is a significant component from an ecological perspective. Distance to market (0.307) and hatchery location (0.287) is an economic variable. The social part consists of distance from the settlement (0.443) and labor availability (0.247). Meanwhile, the availability of feed (0.282), hatchery technology (0.269), and Mina ducks (0.251) are the development strategies for duck cultivation in swamp areas, and economic stimulus (0.93) is the final contributor.

Mangroves ecosystem management strategies in Passare Apua Village, Lantari Jaya Sub-Distict, Bombana Regency, Southeast Sulawesi STRATEGI PENGELOLAAN EKOSISTEM MANGROVE DI DESA PASSARE APUA KECAMATAN LANTARI JAYA KABUPATEN BOMBANA PROVINSI SULAWESI TENGGA Aqmal Khaery; Cecep Kusmana; Yudi Setiawan
Jurnal Silvikultur Tropika Vol. 7 No. 1 (2016): Jurnal Silvikultur Tropika
Publisher : Departemen Silvikultur, Fakultas Kehutanan dan Lingkungan, Institut Pertanian Bogor (IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j-siltrop.7.1.%p

Mangrove ecosystem management practices that are not environmentally friendly was one of the threats made by people in coastal areas at Passare Apua Village. The study was aimed to analyze mangrove deforestation and degradation level, mangrove species composition and diversity and to formulate strategy of mangrove ecosystem management at Passare Apua Village, Southeast Sulawesi. Some analysis were done in this study such as: remote sensing system with supervised classification methods, vegetation analysis by line transect and plot methods, description and SWOT analysis. The results showed that mangrove deforestation is happened since 1981 untill 2014 as large as 1 156.81 hectares. In 1981, mangrove ecosystem in Passare Apua was dominated by non-degraded mangroves, while in 2014 dominated by severely degraded ones. Vegetation analysis results showed that there are found 13 species of mangroves. Bruguiera gymnorrhiza was a dominant species at the slightly and moderately degraded mangrove communities, while Rhizophora mucronata was a dominant species at the severely degraded mangrove community. Causative factors of mangrove degradation were economic factors, low education and skills, and lack of control from the authorities. Based on the SWOT’s diagram and matrix, the strategy position of mangrove management at the research site is located at first kuadrant (aggressive strategy).Key words: deforestation, degradation, mangrove ecosystems, mangrove management strategy, Southeast Sulawesi.

Land Use Planning for Brackish Water Shrimp Ponds in The North Coast of Tuban, Indonesia Widiatmaka Widiatmaka; Wiwin Ambarwulan; Yudi Setiawan; Muhamad Yanuar Jarwadi Purwanto; Taryono Taryono; Hefni Effendi
Indonesian Journal of Geography Vol 47, No 2 (2015): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Shrimp is a commodity that is increasingly in demand. The limited land resources implies the need of effective land use planning. The objective of this study was to assess land suitability for brackish water shrimp ponds, which then will be recommended for pond development in the north coast of Tuban, Indonesia. Analytical hierarchy process (AHP) were used to obtain the weight of the different criteria consisted of soil characteristics, topographic, water quality, and infrastructure criteria. The suitable land for brackish water shrimp ponds was determined by weighted overlay in GIS. The results show that the study area contains highly suitable land for brackish water shrimp ponds. Land use and land cover map was interpreted from 2014 SPOT 5 imagery. The area recommended for brackish water shrimp pond wasdelineated by taking into account the suitability and the constraints of land use and land cover.

Adaptive Mangrove Ecosystem Rehabilitation Plan based on Coastal Typology and Ecological Dynamics Approach Aswin Rahadian; Cecep Kusmana; Yudi Setiawan; Lilik Budi Prasetyo
HAYATI Journal of Biosciences Vol. 29 No. 4 (2022): July 2022
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.29.4.445-458

Mangrove rehabilitation has implications for important ecological, social and economic values for coastal communities. The mangroves ecosystem Karawang Regency is still under pressure due to the management and utilization that does not pay attention to the sustainability aspect. The rehabilitation plan to mangrove management must be adapted to the nature and characteristics of the habitat. This study aims to formulate technical considerations for the direction of a rehabilitation plan based on an ecological approach and the dynamics of the mangrove ecosystem. The methods used in this study were geospatial approach that integrated with field quanitative and qualitative data. The results show that the total of mangrove potential area in Karawang Regency was 19,139.53 ha, consisting of 421.95 ha (2.2%) of vegetated area and 18,717.58 ha (97.8%) of unvegetated area. We integrate mangrove typology, mangrove stand density, physical parameters, and land use as the basis for determining the direction of rehabilitation planning. In the estuarine deltaic mangrove typology, we aim at protecting with natural regeneration. In infringe areas, we recommend constructing natural coastal structures before planting. On the backward for intensive planting. Furthermore, mangroves with low density, medium density, and high density are recommended for planting, species enrichment, and protecting respectively, and on the pond with implementing the mixed mangrove-aquaculture system to bridge between rehabilitation effort and economic needs of coastal communities.

TEMPORAL VEGETATION DYNAMICS IN PEAT SWAMP AREA USING MODIS TIME-SERIES IMAGERY: A MONITORING APPROACH OF HIGH-SENSITIVE ECOSYSTEM IN REGIONAL SCALE Yudi Setiawan; Hidayat Pawitan; Lilik Budi Prasetyo; May Parlindungan; Prita Ayu Permatasari
Geoplanning: Journal of Geomatics and Planning Vol 3, No 2 (2016)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Peat swamp area is an essential ecosystem due to high vulnerability of functions and services. As the change of forest cover in peat swamp area has increased considerably, many studies on peat swamp have focused on forest conversion or forest degradation. Meanwhile, in the context of changes in the forestlands are the sum of several processes such as deforestation, reforestation/afforestation, regeneration of previously deforested areas, and the changing spatial location of the forest boundary. Remote sensing technology seems to be a powerful tool to provide information required following that concerns. A comparison imagery taken at the different dates over the same locations for assessing those changes tends to be limited by the vegetation phenology and land-management practices. Consequently, the simultaneous analysis seems to be a way to deal with the issues above, as a means for better understanding of the dynamics changes in peat swamp area. In this study, we examined the feasibility of using MODIS images during the last 14 years for detecting and monitoring the changes in peat swamp area. We identified several significant patterns that have been assigned as the specific peat swamp ecosystem. The results indicate that a different type of ecosystem and its response to the environmental changes can be portrayed well by the significant patterns. In understanding the complex situations of each pattern, several vegetation dynamics patterns were characterized by physical land characteristics, such as peat depth, land use, concessions and others. Characterizing the pathways of dynamics change in peat swamp area will allow further identification for the range of proximate and underlying factors of the forest cover change that can help to develop useful policy interventions in peatland management.

LAND USE ANALYSIS USING TIME SERIES OF VEGETATION INDEX DERIVED FROM SATELLITE REMOTE SENSING IN BRANTAS RIVER WATERSHED, EAST JAVA, INDONESIA Kunihiko Yoshino; Yudi Setiawan; Eikichi Shima
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

In this study, time series datasets of MODIS EVI (Enhanced Vegetation Index) data from 2002 and 2011 in the Brantas River watershed located in eastern Java, Indonesia were analyzed and classified to make ten land use maps for each year, in order to support watershed land use planning which takes into account local land use and trends in land use change. These land use maps with eight types of main land use categories were examined. During the 10 years period, forested area has expanded, while upland, paddy rice field, mixed garden and plantation have decreased. One of the reasons for this land use change is ascribed to tree planting under the joint forest management system by local people and the state forest corporation.

STUDY OF SEA LEVEL RISE USING SATELLITE ALTIMETRY DATA IN THE SEA OF DUMAI, RIAU, INDONESIA Dewi Ariana; Cecep Kusmana; Yudi Setiawan
Geoplanning: Journal of Geomatics and Planning Vol 4, No 1 (2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.4.1.75-82

Climate change and global warming has impacted the entire world. It has caused ice melting at the poles, climate extreme event, land subsidence which further affected sea level to rise, such as particularly, in Dumai coastal areas. To date, sea level rise is one of the important global issues. This increases the vulnerability effect in coastal areas which threatens human life, especially those living in coastal regions. Sea level rise can be forecasted by satellite imagery like ENVISAT, Topex/Poseidon, Jason-1 and Jason-2. This paper presents an approach to quantify the sea-level variations and sea level trend based on a combination of multi-mission satellite altimetry data over a period of 21 years (1993-2014). Monitoring of sea level rise was conducted by taking data from 6 stations. SLA was calculated using a typical moving average to reduce fluctuation. Sea level rise was calculated using a linear regression. Positive sea-level linear trends for the analysis period were estimated for sea level rise. The results showed that the range sea level rise reaching 4.80 mm/year to 5.61 mm/year has occured in Dumai. Dumai is predicted to have an additional sea level of 0.17-0.20 m by the year 2050, 0.41-0.48 m by the year 2100 and 0.65-0.76 m by the year 2150. The sea level rise trends in the North West part Dumai were higher than the other stations and down to South East. Based on the predicted results, Dumai should prepare plans to mitigate the rising of sea levels.

Pola Distribusi Spasial-Temporal Hotspot dan Variasi Standardized Precipitation Index pada Lahan Gambut Tropis di Kepulauan Meranti, Riau Maulana Dwi Putra Riyadi; Yudi Setiawan; Muh Taufik
Jurnal Ilmu Lingkungan Vol 20, No 3 (2022): July 2022
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.20.3.457-464

Kebakaran hutan dan lahan yang terjadi setiap tahun di Indonesia sebagian besar berlokasi di lahan gambut. Bencana tersebut berdampak besar terhadap berbagai aspek kehidupan, salah satunya adalah terdegradasinya lahan gambut tropis. Pada tahun 2014, kebakaran hutan dan lahan di Kepulauan Meranti turut berkontribusi terhadap bencana kabut asap yang dirasakan hingga ke Singapura dan Malaysia. Pemerintah Indonesia melalui Badan Restorasi Gambut dan Mangrove (BRGM) telah berupaya melakukan restorasi ekosistem gambut. Pemantuan data hotspot dan curah hujan secara rutin dilakukan sebagai salah satu upaya mitigasi bencana kebakaran hutan dan lahan. Penelitian ini bertujuan untuk mengidentifikasi pola distribusi hotspot dan variasi Standardized Precipitation Index (SPI) serta mengetahui korelasinya terhadap kebakaran hutan dan lahan. Penelitian ini menggunakan data hotspot dari Moderate Resolution Imaging Spectroradiometer (MODIS) dan curah hujan dari Climate Vunerabilities Group InfraRed Precipitation with Station data (CHIRPS) selama 21 tahun yang dianalisis secara spasial-temporal dan koefisien korelasi Pearson. Sekitar 97.2% atau 7403 hotspot berada pada lahan gambut. Frekuensi hotspot tertinggi terjadi pada 2014, 2005, dan 2019. Distribusi hotspot bulanan mengikuti fluktuasi curah hujan dengan jumlah kejadian tertinggi terjadi pada Februari-Maret. Nilai SPI-1, SPI-3, SPI-4, SPI-6, SPI-12 tahun 2001-2021 bervariasi dari -3.5 hingga 3.0. Selama 21 tahun, Kepulauan Meranti telah mengalami musim basah dan kering yang ekstrim. Nilai SPI dan hotspot bervariasi mengikuti fenomena El Nino dan La Nina. Nilai SPI-1, SPI-3, SPI-4, SPI-6 berkorelasi kuat dengan data hotspot 2001-2021 dengan nilai r lebih dari 60%. Korelasi antara SPI dengan curah hujan mampu meprediksi puncak periode basah dan kering. Variabel hotspot dan SPI tidak dapat dipisahkan karena bisa menjadi salah satu faktor penting yang membantu proses perumusan arahan mitigasi dan adaptasi bencana kebakaran hutan dan lahan.ABSTRACTForest and land fires in Indonesia every year are mainly located on peatlands. The disaster had a significant impact on various aspects of life, one of which was the degradation of tropical peatlands. In 2014, forest and land fires in the Kepulauan Meranti contributed to the haze disaster that was felt as far as Singapore and Malaysia. Through the Peat and Mangrove Restoration Agency (BRGM), the Government of Indonesia has tried to restore the peat ecosystem. Monitoring of hotspot and rainfall data is routinely carried out as one of the efforts to mitigate forest and land fire disasters. This study aims to identify the distribution pattern of hotspots and Standardized Precipitation Index (SPI) variations and determine their correlation to forest and land fires. This study uses hotspot data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and rainfall from Climate Vulnerabilities Group InfraRed Precipitation with Station data (CHIRPS) for 21 years which were analyzed spatially-temporal and Pearson correlation coefficient. Around 97.2% or 7403 hotspots are on peatlands. The highest frequency of hotspots occurred in 2014, 2005, and 2019. The monthly distribution of hotspots follows fluctuations in rainfall, with the highest number of occurrences occurring from February to March. The values of SPI-1, SPI-3, SPI-4, SPI-6, SPI-12 in 2001-2021 varied from -3.5 to 3.0. For 21 years, the Meranti Islands have experienced extreme wet and dry seasons. The value of SPI and hotspot varies according to El Nino and La Nina phenomena. The values of SPI-1, SPI-3, SPI-4, SPI-6 are strongly correlated with the 2001-2021 hotspot data with an r-value of more than 60%. The correlation between SPI and rainfall can predict the peak of the wet and dry periods. Hotspot and SPI variables cannot be separated because they can be important factors that help formulate directives for mitigation and adaptation to forest and land fire disasters.

Co-Authors A Hadi Syafrudin Aditya Rizky Priatama Aditya Yumansyah AHMAD JUNAEDI Aqmal Khaery Ardya Hwardaya Gustawan Arif Kurnia Wijayanto Arif Kurnia Wijayanto Aswin Rahadian Aswin Rahadian Azelia Dwi Rahmawati Cecep Kusmana Desi Suyamto Dewi Ariana Didi Darmadi Eikichi Shima Ezra Fajar Dewantara Haris Sofyan Hendriyanto Hefni Effendi Hidayat Pawitan Hidayat Pawitan Hudjimartsu, Sahid Agustian Irdika Mansur Irlan Kunihiko Yoshino Lilik Budi Prasetyo Liyantono . M Yanuar J Purwanto Marimin Marimin Maulana Dwi Putra Riyadi May Parlindungan Muflihatul Maghfiroh Islami Muhammad Buce Saleh Muhammad Masyhuri Naifa Sa'diyya Neviaty P. Zamani Patria Rachman Hakim Pramulya, Rahmat Prita Ayu Permatasari Prita Ayu Permatasari Purwanto, Yanuar Jarwadi Rahmat Asy'Ari Rika Setiabudi Santoso Salis Deris Artikanur Setyono Hari Adi Sri Mulatsih Syartinilia . Taryono Taryono Taufik, Muh Teddy Rusolono Widia Siska Widiatmaka . Widiatmaka Widiatmaka Wiwin Ambarwulan Wiwin Ambarwulan Yanuar Jarwadi Purwanto Yunandar Yunandar

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