Medicinal potential plants that are scattered in community forest areas have opportunities that can be utilized in ecosystem-based sustainable forest management. Considering the potential medicinal plants have played a major role in maintaining the health condition of the community around the forest from generation to generation. This study aims to determine the abundance of medicinal plant species in the Wana Lestari Community Forest, Karang Sidemen Village based on the value of the Ecological Index. The research method used is Stratified Random Sampling with Replacement with a total of 59 research sample plots. The results showed that the types of medicinal plants at the level of trees, poles, saplings, seedlings, shrubs, bush, terna, lianas, and ferns which had the highest Importance Value Index (IVI) were D. zibethinus (72.42%) trees level, D. zibethinus (111.82%) poles level, C. canephora (144.98%) saplings level, C. canephora (109.64%) seedlings level, C. frutescens L (70.33%) shrubs level, H. capitata Jacq. (103.07%) bushs level, C. prostrata (26.69%) ternas level, M. cordata (92.46%) lianas level, and D. esculentum (169.39%) ferns level. The Morishita index shows that most species at the trees, shrubs, bushes, ternas, lianas, and ferns levels spread in groups while most of the plant species at the pole, sapling, and seedling levels spread randomly. In addition, the Species Diversity Index (H') of medicinal plants showed values ​​at the level of trees (2.08), poles (1.92), saplings (1.16), seedlings (1.72), shrubs (1.8), bushs (1.79), ternas (2.94), lianas (1.44) and ferns (0.53). Furthermore, the value of the species richness index (R1) of plants with medicinal potential is at the level of the tree (2.68), poles (2.82), saplings (1.93), seedlings (1.72), shrubs (1.84), bushs (2.22), ternas (4.17), lianas (1.87) and ferns (0.38). The evenness index value (E') of medicinal potential plants is at the level of trees (0.73), poles (0.75), saplings (0.48), seedlings (0.61), shrubs (0.92), bushs (0.7), ternas (0.82), lianas (0.58) and ferns (0.49).

Gili Lawang mangroves as a unique ecosystem, unstable, dynamic and complex. The purpose of this study is to determine the eco-structure and natural regeneration of the Gili Lawang mangroves as an initial study in sustainable mangrove forest management. This study used a systematic sampling method with random start, at 6 stations with a total of 60 plots. Seven types of mangroves were obtained, namely A. marina, B. cylindrica, B. gymnorrhiza, R. apiculata, R. mucronata, R. stylosa, and S. alba at the study site. The highest IVI was R. mucronata with a value of 79.34% (seedlings), B. gymnorrhiza with an IVI of 77% (saplings) and tree stage (96.2%). Canopy stratification is type C, D and E. The concentration of horizontal structures is in class 1 (10-16 cm). At the seedling growth stage H' was classified as moderate (1.33), E' was moderate (0.69), and R1 was low (1.13). At the stake level H' classified as Moderate (1.31), E' is moderate (0.67) and R1 is low (1.04) and at the tree level H' is classified as moderate (1.59), E' is high (0.82), R1 is low (0.95). The distribution of mangrove species in Gili Lawang was normally distributed with a distribution pattern of plant species generally clustered, except for S. alba at the sapling growth stage which were scattered randomly. The regeneration status of mangrove species in Gili Lawang is good in speciesA. marina, B. gymnorrhiza, R. apiculata,and R. mucronata, and sufficient/moderate on B. cylindrica, R. stylosa and S. alba.

Mangrove ecosystems have a great influence on the sustainability of human life and the environment. The high level of vulnerability of mangrove ecosystems has implications for the importance of quality planning. This study aims to identify the spatial distribution and density of mangrove forests in Gili Lawang using Landsat 9 OLI-2/TIRS-2 satellite imagery. Data processing is done with the help of the QGIS 3.30 application. Data processing consists of band combinations, image classification with the SVM algorithm, classification results accuracy test, NDVI value extract, and reclass NDVI. The results showed that the use of band 564 in Landsat 9 imagery visually resulted in an increase in sharpness in identifying mangrove ecosystems. Classification of objects with the SVM algorithm has overall accuracy and kappa accuracy > 80%. The identified area of Gili Lawang is 432.72 ha, consisting of 37.89 ha of mangroves, 58.11 ha of non-mangrove and 3.75 ha of water bodies. NDVI values at the study sites ranged from 0.068 to 0.87. The maximum NDVI value is found in mangrove objects, while the minimum NDVI value is found in water body objects. Mangrove density in Gili Lawang is dominated by high and very high density. The use of Landsat 9 OLI-2/TIRS-2 imagery in the future is expected to provide positive benefits in providing data and information related to natural resources.

Pandemi covid-19 mempengaruhi kondisi kehidupan masyarakat, salah satunya sektor pangan. Salah satu alternatif untuk mengatasi masalah tersebut adalah dengan menerapkan konsep rumah pangan lestari  dengan memanfaatkan botol plastik sebagai media untuk teknik budidaya vertikultur dan hydroponik,. Kegiatan ini diharapkan dapatmembantumemenuhikekuranganketersediaanpangan dan sekaligus mengatasi limbah plastik di lingkungan masyarakat. Metode dalam menerapkan konsep rumah pangan lestari dengan teknik vertikultur dan hidroponik yaitu dengan sosialisasi dan pengaplikasian secara langsung di SMAN 1 Montong Gading dan kantor Desa Montong Betok serta dilakukan evaluasi dengan kuisioner. Hasil kegiatan ini yaitu terbentuknya contoh penerapan rumah pangan lestari di Lingkungan Kantor Desa Montontong Betok serta meningkatnya pengetahuan dan motivasi masyarakat dalam memanfaaatkan pekarangan rumah.untuk ditanami berbagai jenis komoditi pertanian seperti tamansayur sayuran