PEMANFAATAN DAN UPAYA KONSERVASI KAYU PUTIH (Asteromyrtus symphyocarpa) DI TAMAN NASIONAL WASUR

Asteromyrtus symphyocarpa synonym with Melaleluca symphyocarpa of the Myrtaceae family is an endemic plant at Northern Australia, South Papua (Indonesia,) and Papua New Guinea. Wasur National Park (South Papua District, Papua, Indonesia) is one of  A.symphyocarpa’s  distribution areasTwo villages in Wasur National Park, namely Yanggandur Village and Rawa BiruVillage have been  performing utilization of A. symphyocarpa with the process of distillation.  Today, the utilization of A. Symphyocarpa has become one of livelihoods sources for the peoples in this region.  However, A. symphyocarpain Wasur National Park was facing a high level of threats, the mostly are: habitat destruction, habitat fragmentation, habitat degradation, and the invasion of alien species.  This paper was aimedat  exploringother potential uses of A. symphyocarpa in addition to its essential oil and also to formulate conservation efforts in Wasur National Park. The analysis is was done through literature  studies and  authors’  experiences.  An alternative solution to preserve this species is was to developmentof  stakeholders’ participation.  Those stakeholders must be involved actively of performingin  the real conservation efforts. Key words: Asteromyrtus symphyocarpa, utilization, threats, conservation, Wasur National Par

MANFAAT KAMPUNG KONSERVASI TUMBUHAN OBAT KELUARGA (TOGA) GUNUNG LEUTIK, DESA BENTENG CIAMPEA BOGOR

Conservation revitalization for health endurance can be achieved by establishing a conservation village such as Kampung Konservasi TOGA Gunung Leutik. The purposes of this research are to identify the benefit of Kampung Konservasi TOGA Gunung Leutik in the form medicinal plants utilization, and the impacts of its existence to local people’s health and economy. Methods used in this research was open-ended interview, and observation. The result shows that there are 152 medicinal plant species from 57 families that are utilized by the local people and most of them are from Zingiberaceae families. There are 40 recipe can be used for treat various desease. Benefits of these medicinal plants are for spices and daily disease treatment. The existence of Kampung Konservasi Gunung Leutik gives positive impacts for local people health and economy. Keyword: medicinal plant, TOGA conservation kampoong, utilizatio

A Computer Aided System for Tropical Leaf Medicinal Plant Identification

The objective of this paper is to develop a computer aided system for leaf medicinal plant identification using ProbabilisticNeural Network. In Indonesia only 20-22% of medicinal plants have been cultivated. Generally, identification process of medicinalplants has been done manually by a herbarium taxonomist using guidebook of taxonomy/dendrology. This system is designed to helptaxonomist to identify leaf medicinal plant automatically using acomputer-aided system. This system uses three features of leaf toidentify the medicinal plant, i.e., morphology, shape, and texture. Leaf is used in this system for identification because easily to find.To classify medicinal plant we used Probabilistic Neural Network. The features will be combined using Product Decision Rule (PDR).The system was tested on 30 species medicinal plant from Garden of Biopharmaca Research Center and Greenhouse Center of Exsitu Conservation of Medicinal Indonesian Tropical Forest Plants, Faculty of Forestry, Bogor Agriculture University, Indonesia.Experiment results showed that the accuracy of medicinal plant identification using combination of leaf features increase until74,67%.The comparative analysis of leaf features has been performed statistically. It showed that shape is a dominant features for plant identification. This system is very promising to help people identify medicinal plant automatically and for conservation and utilization of medicinal plants

Peluang dan strategi pengurangan emisi di Kawasan Delta Mahakam, Kalimantan Timur

Mahakam Delta area which functions as a Permanent Production Forest has abundant forest resources. However, there is a lack of management of the Mahakam Delta forest area which causes degradation and of mangrove forests to fish and shrimp ponds. This study aims to provide a rational, measurable, efficient and effective conceptual framework for exploiting mangrove forest resources by taking into account the socio-economic business aspects, emission reduction, local community culture and the preservation of mangrove forests in the Mahakam Delta area to achieve independent management of the Mahakam Delta. The method used in this study is Action Learning in which business plan concepts are introduced by promoting the principle of emission reduction to representatives of the KPHP Delta Mahakam. The results show the need for several improvements and strategies to resolve the Mahakam Delta problem, such as resolving pond conflicts, fostering and monitoring the Mahakam Delta area, synergies with related stakeholders, and optimal utilization of forest potential. Keywords: Business Strategy, Mahakam Delta, Production Forest, Emissio

Pemanfaatan Teknologi Tepat Guna Identifikasi Tumbuhan Obat Berbasis Citra

Indonesia is a mega biodiversity country including many kind medicinal plants. It is not easy to identify the various kinds of the medicinal plants especially for common people. Therefore, we need a computer-based automatic system as a tool to identify these various types of the medicinal plants. Developing of computer-based automatic system for medicinal plant identification has been done based on leaf image. There are 30 species of medicinal plants used in this study. There are 3 features for identification, i.e. morphology, texture, and shape. To improve the accuracy of identification we applied probabilistic neural network to classify the species of medicinal plant. The experiment results showed that the accuracy of identification increase to 74.67%. Developing of search engine has been done as well. We used 32 species of medicinal plant. The number of document was 132 documents. The document consists of name, family, description, diseases, and chemical substances. To improve the accuracy of searching, we applied KNN Fuzzy to classify document into 2 categories, i.e., family and diseases. The experiment results showed that the accuracy of average of precision is 96% for only word of length query and 89% for two words of length query. The system is very beneficial for people in society because it can be used to identify medicinal plants easily and the relevant communitis become independent in maintaining family health and giving opportunities as well as income of the people. Hence, the system is promising for leaf identification and supporting plant biodiversity in Indonesia

Pemanfaatan Teknologi Tepat Guna Identifikasi Tumbuhan Obat Berbasis Citra

Indonesia is a mega biodiversity country including many kind medicinal plants. It is not easy to identify the various kinds of the medicinal plants especially for common people. Therefore, we need a computer-based automatic system as a tool to identify these various types of the medicinal plants. Developing of computer-based automatic system for medicinal plant identification has been done based on leaf image. There are 30 species of medicinal plants used in this study. There are 3 features for identification, i.e. morphology, texture, and shape. To improve the accuracy of identification we applied probabilistic neural network to classify the species of medicinal plant. The experiment results showed that the accuracy of identification increase to 74.67%. Developing of search engine has been done as well. We used 32 species of medicinal plant. The number of document was 132 documents. The document consists of name, family, description, diseases, and chemical substances. To improve the accuracy of searching, we applied KNN Fuzzy to classify document into 2 categories, i.e., family and diseases. The experiment results showed that the accuracy of average of precision is 96% for only word of length query and 89% for two words of length query. The system is very beneficial for people in society because it can be used to identify medicinal plants easily and the relevant communitis become independent in maintaining family health and giving opportunities as well as income of the people. Hence, the system is promising for leaf identification and supporting plant biodiversity in Indonesia

Kamus penyakit dan tumbuhan obat Indonesia (etnofitomedika)

*Buku ini hanya bisa dibaca & fotocopy di dalam perpustakaan / tidak dipinjamkan.**Silahkan hubungi petugas untuk mengetahui informasi lebih lanjut.Buku ini tersusun dari data etnomedika yang berasal dari berbagai laporan perjalan/survai, makalah dalam simposium/seminar yang dikumpulkan dari dua perpustakaan di Bogor

Kamus penyakit dan tumbuhan obat Indonesia (etnomrdika I)

Jilid: 1xi, 209 p. : il.; 21 c