The population of the population in the world is increasing day by day. One of the age groups that have a significant increase in the elderly group. Projections and data found about the elderly are a concern that is of interest to the whole world because along with the increase in population it is accompanied by physical and psychological problems that accompany it. This study aims to identify factors that affect depression in retired elderly people. The design used in this study uses a research design: "CROSS-SECTIONAL". In this study, the population is elderly retirees who live in the area of Jekan Raya Subdistrict, Palangka Raya City. The sampling technique in this study uses consecutive sampling technique, which is the best type of non-probability sampling, that is, all objects that come sequentially and meet the selection criteria are included in the study until the number of subjects needed is fulfilled, namely as many as 100 people. The results showed that there was no significant relationship between sex (p: 0.671), employment status (p: 0.994), marital status (p: 0.726), education (p: 0.988), and the level of depression in retired civil servants in Jekan Subdistrict Raya Kota Palangka Raya. This research is expected to contribute positively to the management of elderly people with depression so that they are able to adapt to changes that occur due to the aging process.
Kebakaran hutan dan lahan di Indonesia telah menyebabkan kerugian yang luar biasa, baik dari aspek ekologi, ekonomi dan sosial budaya. Penelitian ini menggali kecendrungan kebakaran hutan dan lahan dengan pendekatan spasial dan penyebab kebakaran hutan dan secara empiris serta alternatif pengendaliannya. Metode yang digunakan perangkat lunak SIG, yaitu ArcGIS for Desktop 10.3.1 yang disediakan oleh Environmental Systems Research Institute (ESRI), wawancara mendalam dan observasi. Hasil penelitian menunjukkan bahwa hotspot berkorelasi positif, semakin dekat dengan jaringan jalan, intensitas atau jumlah kejadian kebakaran akan semakin besar, dan kecendrungan kebakaran hutan dan lahan berbentuk acak dari waktu ke waktu yang disebabkan oleh adanya pembukaan lahan-lahan baru untuk kepentingan perladangan. Penyebab kebakaran hutan dan lahan adalah aktivitas perladangan, akses jalan dan iklim. Alternatif Pengendalian Kebakaran Hutan berbasis Kemitraan, yaitu membangun kerjasama dengan kelompok masyarakat peladang sistem “Pembukaan Ladang Terkendali”, melibatkan parapihak yakni aparat desa, aparat kecamatan dan aparat kepolisian setempat serta KPHP.Kata kunci: kebakaran; hutan dan lahan; kemitraanForest and land fires in Indonesia have caused tremendous losses, both from the ecological, economic and socio-cultural aspects. This study explores the trend of forest and land fires with spatial approaches and causes of forest fires through empiricall method as well as alternative controls. The method used GIS software, ArcGIS for Desktop 10.3.1 provided by the Environmental Systems Research Institute (ESRI), in-depth interviews and observation. The results show that the hotspots are positively correlated, the closer to the road network, the greater the intensity or number of fires, and the tendency of forest fires and randomly shaped land from time to time due to the opening of new lands for shifting cultivation. Causes of forest and land fires are the activities of cultivation, road access and climate. Alternative Forest Fire Control based on Partnership, which is to build cooperation with community group farmer system “Pembukaan Lahan Terkendali”, involving stakeholders that is village apparatus, subdistrict apparatus and local police apparatus and KPHP.
The change of Banjarbaru city status into the central government of South Kalimantan Province, has the potential to increase the need for land. This directly affects wetlands conversion activities into other forms of land closure. This research aims to map the spatial distribution of wetlands, and the spatial distribution of wetlands conversion existing in Banjarbaru City in every decade over the last four decades, ie from the 1970s to the present. Wetlands spatial data are extracted from multitemporal satellite imagery, Landsat 5 in 1973, Landsat 5 in 1989, Landsat 5 in 1997, Landsat 5 in 2007, and Landsat 8 in 2016. The method used to extract wetlands is Object Based Image Analysis (OBIA), with Full Lambda-Schedule algorithm. The research results show that over the past last decades, the total area of Banjarbaru City's wetlands has been reduced continuously. The average total reduction rate is 534.53 hectares per decade or about 53.5 hectares per year, with a linear pattern over the past four decades.
The Tabalong Forest Management Unit (KPH) has a very diverse potential for natural tourism objects, but development is still limited. ODTWA development requires more detailed data and information about the characteristics of ODTWA, so that all forms of management of the tourism object will be more precise and specific. The purpose of this study was to analyze the potential feasibility of natural tourism objects, analyze the characteristics of ODTWA natural attractions in KPH Tabalong Resort Forest Management (RPH) Kinarum. There are three natural attractions in the working area of KPH Tabalong RPH Kinarum, namely, 1) Riam Mambanin in Marindi Village, Haruai District, Tabalong Regency; 2) Riam Kinarum in Kinarum Village, Upau District, Tabalong Regency; 3) Riam Maga in Mangkupum Village, Muara Uya District, Tabalong Regency. Data was collected through field observations and semi-structured interviews. Data analysis was carried out descriptively based on the data collected. The most varied ODTWA areas and have great potential to be developed in a short time are Riam Kinarum and Riam MambaninKesatuan Pengelolaan Hutan (KPH) Tabalong memiliki potensi objek wisata alam yang sangat beragam namun pengembangan masih terbatas. Pengambangan Objek dan Daya Tarik Wisata Alam (ADOTWA) memerlukan data dan informasi yang lebih rinci tentang karakteristik ODTWA, sehingga segala bentuk pengelolaan terhadap objek wisata tersebut akan lebih tepat dan spesifik. Tujuan penelitian ini untuk menganalisis karakteristik objek wisata alam ODTWA yang ada di KPH Tabalong Resort Pengelolaan Hutan (RPH) Kinarum. Objek wisata alam yang ada di wilayah kerja KPH Tabalong RPH Kinarum ada tiga yaitu, 1) Riam Mambanin yang ada di Desa Marindi Kecamatan Haruai Kabupaten Tabalong; 2) Riam Kinarum yang ada di Desa Kinarum Kecamatan Upau Kabupaten Tabalong; 3) Riam Maga yang ada di Desa Mangkupum Kecamatan Muara Uya Kabupaten Tabalong. Pengumpulan data dilakukan melalui observasi lapangan dan wawancara semi terstruktur. Analisis data dilakukan secara deskriptif berdasarkan data yang dikumpul. Kawasan ODTWA yang paling variatif dan memiliki potensi besar untuk dikembangkan dalam waktu cepat adalah Riam Kinarum dan Riam Mambanin
. Biomassa atau cadangan karbon merupakan salah satu indikator kelestarian tegakan hutan. Kuantitas biomassa yang stabil dan proporsional mengindikasikan kelestarian hutan berada dalam kondisi yang baik. Dalam rangka menjaga kelestarian hutan, pihak-pihak terkait dituntut untuk selalu aktif di dalam pemantauan hutan, salah satunya adalah kondisi biomassa tegakan. Penelitian ini bertujuan untuk menguji sejumlah metode interpolasi spasial untuk mengestimasi distribusi biomassa tegakan hutan hujan tropis di Bukit Mandiangin, Kalimantan Selatan. Interpolasi spasial bertujuan untuk mengatasi keterbatasan data sampel di lapangan pada wilayah hutan yang luas. Beberapa metode interpolasi spasial diimplementasikan didalam penelitian ini, yaitu IDW, GPI, RBF, LPI, dan Kriging. Sebanyak 50 plot sampel dibuat di lapangan untuk mengukur biomassa tegakan hutan. Meskipun ketika dianalisis semivariogram, hanya 40 titik sampel diantaranya yang dapat diikutsertakan didalam analisis, sebanyak 30 titik dijadikan sebagai training samples untuk input interpolasi spasial dan 10 titik dijadikan sebagai testing samples untuk validasi hasil interpolasi. Validasi hasil interpolasi spasial dilakukan menggunakan MAPE dan RMSE. Hasil riset menunjukkan bahwa IDW dengan nilai power 2 merupakan metode interpolasi spasial yang paling optimal untuk estimasi biomassa tegakan hutan. Disamping memiliki MAPE dan RMSE yang cukup kecil, IDW juga lebih praktis dibandingkan dengan metode-metode interpolas spasial lainnya. Metode lainnya yang dapat dijadikan sebagai alternatif selain IDW untuk biomassa tegakan hutan adalah RBF dengan fungsi inti Completely Regularized Spline dan Empirical Bayesian Kriging dengan fungsi inti Linear. Lebih jauh, untuk mendapatkan hasil interpolasi spasial yang lebih akurat, titik-titik sampel harus dibuat lebih banyak dan tersebar lebih merata di dalam wilayah yang akan diestimasi.
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