CIREBON PALACES IN THE DIGITAL ERA

Keraton is a result of the creation from the past. In order to compete in the digital era, Keraton has to make an advancement which is inline to the development of the digital era.  The aim of this paper is to describe the existentialism concept of Keraton Kasepuhan, Keraton Kanoman, and Keraton Kacirebonan, which are located in the city of Cirebon, in the digital era. The method used in this research is the qualitative-descriptive approach of the phenomena which appear in the field. The results are then matched with the theory to form the conclusion of the existentialism concept of the Keraton in this digital era. The obtained concept can be utilized as an example for other Keraton  in Indonesia to retain their existence especially for the generation of millennials

SISTEM RUANG KERATON KANOMAN DAN KERATON KACIREBONAN

Keraton Kanoman and Kacirebonan  have a history of the entry of Islam in West Java. Currently both keraton still have the building intact. In addition, there are also descendants who continue the tradition of the palace. The spatial system of the palace still follows the pattern of the past space. Similarly, the structure of the building. The purpose of writing this paper is to examine the phenomenon of contemporary space in Kanoman palace and Kacirebonan palace. This scientific paper is a research product using Husserl Phenomenology method. The results show the phenomenon of space pattern equation in the palace of Cirebon is the king's residence is the highest peak. Besides the palace in Cirebon facing north. In the North there is the Tomb of Sunan Gunung Djati located on Mount Sembung. This shows the parallel between the worldly life and the end. This phenomenon shows that space and place has something that is intangible, this is evidenced by the phenomenon of layout and the composition of the palace Kanoman and Keraton Kacirebonan

Evaluation of The Rahong Pangalengan Pine Forest Tourism Area

Natural tourism areas have an important role in preserving nature and encouraging local economic growth. However, uncontrolled tourism growth often causes environmental problems. Therefore, evaluating the sustainability of tourist area development is very important to ensure long-term natural sustainability, by paying attention to aspects of attractions, amenities and accessibility (3A). This research aims to evaluate the condition of the Rahong Pine Forest tourist area to support sustainable development of the area in the future. The approach used is an interdisciplinary approach that combines ecological, social and economic analysis in regional development. The research results show that the Rahong Pine Forest Tourism Area is included in the very high category. This shows that this area has great potential for natural tourism, but there are still challenges in maintaining a balance between tourism development and environmental conservation. From the research results, there are several recommendations to increase the sustainability of the development of the Rahong Pangalengan Pine Forest tourist area in the future. First, provide clear directions to the area to facilitate accessibility for tourists. Second, provide adequate transportation to the area. Third, improve road infrastructure in tourist areas to ensure comfort and safety. With these steps, it is hoped that the development of the Rahong Pine Forest tourist area can be carried out in a sustainable manner, providing economic benefits for local communities, while preserving the natural environment which is the main attraction of this area

Effect of Community Participation Levels on Tourism Village Development

Tourism is a catalyst for community economic development in cities and villages. In Indonesia, the central government encourages village governments and their communities to turn their villages into tourist villages. This is an effort to improve the village’s economy. Lamajang Village is one of the tourist villages in Bandung Regency and is categorized as a pioneer tourism village even though it has been designated as a tourist village for more than 10 years. Previous studies have stated that the success of developing a tourist village depends on the level of acceptance and support of the local community. This study aims to identify forms of community empowerment and measure the level of community participation in the development of tourism villages. The study approach uses the Arstein ladder of participation theory which suggests eight levels of participation and case study. The analysis uses a quantitative approach and is equipped with a qualitative approach to deepen the social phenomena. Data collection were done using in-depth interviews and questionnaires. The method of analysis used content analysis and scoring. This study found that the level of community participation in the development of tourism villages is 86.2% or at a moderate level. Particularly, the level of participation is very high for the form of participation on consultation and placement, and very low on citizen control. These results indicate that high community participation is not the only factor that can determine the success of developing a tourist village. Keywords: participation, community, village tourism, developmen

INCREASING ACCURACY VALUE IN THE ESTIMATES OF CARBON STOCK BY USING VEGETATION INDEX FROM ALOS AVNIR 2 SATELLITE IMAGERY

The existence of carbon stock began to be noticed by the public, especially after the global warming phenomenon, because one of the causes of global warming is the increasing amount of carbon in the atmosphere. There are several approaches that can be used to calculate carbon stocks, one of which is through remote sensing. In the study of carbon stocks in Meru Betiri National Park Indonesia, the vegetation index from ALOS-AVNIR satellite imagery is used to estimate carbon reserves by finding an exact equation. If it uses the Modified Soil Adjusted Vegetation Index (MSAVI) only, the correlation value is 0.49. Meanwhile, if Infrared Percentage Vegetation Index (IPVI) is used, the correlation value is 0.47. However, if some vegetation indices such as SoilAdjusted Vegetation Index (SAVI), Normalize Difference Vegetation Index (NDVI) and Ratio Vegetation Index (RVI) are combined, the correlation value of the equation is 0.63. The comparison showed that by combining several variables of vegetation indices will increase the value of the correlation equation significantl

Prediksi Daerah Potensi Longsor Menggunakan Metode Machine Learning

Abstract. Cililin District is one of the sub-districts located in West Bandung Regency which has a very high potential for landslides in several villages. This study intends to determine the distribution area of the landslide-prone area which is manifested in the landslide-prone map of Cililin District. The West Bandung Regency Spatial Plan explains that Cililin District is an area that has a fairly high level of vulnerability to ground movement. From year to year there have been many cases of landslides that cover the area of Cililin District. The approach used in this research is the mixed method which combines qualitative and quantitative. The analytical method that will be used in this research is to use Machine Learning method as the main method in making predictions. This area is prone to landslides in Cililin District. By predicting areas prone to landslides. The results of the analysis have an accuracy rate of 73% which is included in the good category. So the conclusion of the analysis that has been carried out can be seen that half of the Cililin District area has an area that has the potential for landslides of 3805 hectares or about 49% while the area that does not have the potential for landslides is 3885 hectares or about 51%.&#x0D; Abstrak. Kecamatan Cililin adalah salah satu Kecamatan yang terletak di Kabupaten Bandung Barat yang memiliki potensi rawan bencana longsor yang sangat tinggi di beberapa Desanya. Penelitian ini bermaksud untuk mengetahui bagian wilayah sebaran kawasan rawan bencana tanah longsor yang di wujudkan dalam peta rawan bencana longsor Kecamatan Cililin. Dalam Rencana Tata Ruang Wilayah Kabupaten Bandung Barat menjelaskan bahwa Kecamatan Cililin merupakan daerah yang memiliki tingkat kerawanan Gerakan tanah yang cukup tinggi. Dari tahun ketahun telah terjadi banyak kasus longsor yang menutupi wilayah Kecamatan Cililin ini.Metode pendekatan yang digunakan dalam penilitian ini yaitu mixed method yang menggabungkan antara kualitatif dan kuantitatif Metode analisis yang akan digunakan dalam penelitian ini yaitu menggunakan metode Machine Learning sebagai metode utama dalam melakukan prediksi kawasan rawan bencana longsor di Kecamatan Cililin ini. Dengan memprediksi kawasan rawan bencana longsor. Adapun hasil analisis memiliki tingkat akurasi 73% yang termasuk dalam kategori baik. Sehingga kesimpulan analisis yang sudah dilakukan dapat diketahui setengah dari wilayah Kecamatan Cililin ini memiliki kawasan yang berpotensi longsor seluas 3805 Ha atau sekitar 49% sedangkan kawasan yang tidak berpotensi longsor seluas 3885 Ha atau sekitar 51%.</jats:p

STUDI CAKUPAN WILAYAH PELAYANAN MINIMARKET DAN WARUNG TRADISIONAL (Studi Kasus Kecamatan Bandung Kidul, Kota Bandung)

Adanya perkembangan penduduk, mengharuskan fasilitas yang ada cukup untuk melayani dan memenuhi kebutuhan penduduk. Salah satu fungsi kota adalah center of trade yang melayani daerah sekitarnya. Sarana perdagangan merupakan bagian dari pembentuk kota “work, place, folk”. Work diartikan memiliki fasilitas penunjang. Place diartikan harus menempati lokasi yang sudah ditetapkan/diijinkan pemerintah. Folk diartikan dapat melayani penduduk. Sarana perdagangan yang paling dekat dengan kawasan perumahan diantaranya minimarket dan warung. Jarak penduduk dengan suatu sarana perdagangan perlu diperhatikan untuk mengurangi travel cost penduduk dan usaha lebih yang harus dikeluarkan oleh konsumen. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dengan jenis penelitian deskriptif serta menggunakan analisis network analysis untuk menghasilkan cakupan pelayanan minimarket dan warung. Kecamatan Bandung Kidul sudah hampir seluruh wilayahnya terlayani oleh minimarket dan warung. Sekitar 20% wilayah yang tidak terlayani oleh minimarket merupakan komplek perumahan. Penduduk yang tinggal di komplek memiliki perbedaan travel cost ataupun usaha lebih dibandingkan dengan penduduk yang tempat tinggalnya berjarak dekat dengan minimarket maupun warung, dan juga memiliki perbedaan kualitas konsumen dan pola perjalanan berbelanja.</jats:p

KAJIAN PENENTUAN PRIORITAS RUANG TERBUKA HIJAU BERDASARKAN FENOMENA URBAN HEAT ISLAND DI KOTA CIREBON

Urban Heat Island (UHI) is characterized by an increase in surface temperature that occurs in downtown areas which is higher than in sub-urban areas. Cirebon City in 2018 - 2023 years has an increased population growth rate of 2.9% per year and ± 55% of built-up land. Cirebon city also one of the 9 cities in West Java where there has been an increase in temperature where the UHI phenomenon occurred in 1989 – 2021 years with the downtown and sub-urban areas having a surface temperature difference of 3°C. So it is necessary to have a study regarding determining the priority of green open space reduce the effect of UHI in Cirebon City. The research methodology used is Landsat 8 image processing and with helping of a Geographic Information System (GIS) to determine priority green open space locations. The parameters used are vegetation index, population density and comfort index. The purpose of this study is to determine the priority locations in increasing the area of green open space to reduce the UHI effect based on the level of suitability of the Cirebon City Rencana Detil Tata Ruang (RDTR). The results of the study show that areas that are not suitable according to the RDTR of Cirebon City are the top priority that needs to be done. The priority is reforestation covering an area of ± 2,481.22 ha around built-up land by modifying green open space in the form of implementing green infrastructure (GI)

PENGARUH KEBERADAAN MINIMARKET MODERN TERHADAP USAHA TOKO TRADISIONAL DENGAN ANALISIS SERVICE AREA (Studi di Kecamatan Gedebage Kota Bandung)

Minimarket merupakan jenis usaha retail yang tumbuh dan menyebar dengan cepat. Hal ini disebabkan karena minimarket mampu memberikan manfaat yang beragam dengan kehadirannya di tengah masyarakat. Hal ini merupakan ancaman bagi usaha toko tradisional sebab ragam manfaat yang umumnya toko tradisional miliki berada dibawah standar minimarket. Studi ini bertujuan untuk mengkaji bagaimana keberadaan minimarket modera akan mempengaruhi jumlah usaha toko tradisional. Metode analisis menggunakan Network Analysis khususnya service area dengan ArcGIS software. Data primer berupa sebaran lokasi minimarket modern dan toko tradisional serta data sekunder berupa jaringan jalan untuk melengkapi kebutuhan data analisis yang dilakukan. Hasil studi ini menunjukan keberadaan minimarket cenderung berada di sekitar jalanan utama suatu lingkungan. Selain itu, keberadaaan minimarket tidak mempengaruhi jumlah usaha toko tradisional. Hal ini ditunjukan dengan daerah pelayanan minimarket dengan usaha toko tradisional di beberapa lokasi mengalami persinggungan. Namun, kendati telah banyak sarana perdagangan di Kecamatan Gedebage, sekitar 3.619 rumah atau 36,61% dari total rumah yang ada di Kecamatan Gedebage, masih belum terjangkau oleh sarana perdagangan. Hal ini menjadi peluang bagi pengusaha untuk mendirikan minimarket atau toko tradsional untuk melayani daerah yang belum terjangkau oleh sarana perdagangan.</jats:p

Prediksi Deforestasi Hutan Menggunakan Metode Cellular Automata di Kabupaten Bogor

Abstract. Based on the data obtained, Bogor Regency is the area with the highest deforestation rate in West Java Province, in West Java forestry statistics from 2016 to 2018 the largest deforestation occurred in KPH Bogor with an area of ​​around 7,435.77 ha. In addition, Bogor Regency is an upstream area of ​​several watersheds in the area, and the mid-stream downstream area is an urban and even metropolitan area. The purpose of this study is to predict deforestation in Bogor Regency and compare it with the applicable RTRW. The result of this research is a deforestation-prone map, which can later be used as one of the considerations for spatial planning or forest area planning. Seeing these two problems, it is necessary to study the prediction of deforestation. Deforestation modeling can be done with the help of a geographic information system through cellular automata analysis, the main data used in this research are land use maps for 2000, 2009, and 2020, and a map of the prevailing spatial pattern of Bogor Regency. The variables used in this research are topography, distance from water, distance from road network and road network plan, distance from urban area and industrial area plan, distance from forest, and slope. The results show that Bogor Regency may experience deforestation of 15,665.79 ha, and may also experience reforestation of 5,796.95 ha. When compared with the spatial pattern plan, the forest according to the plan is 40,065.54 ha and the forest area based on the spatial pattern is 84,674.46 ha, the difference is around 44,608.92 ha.&#x0D; Abstrak. Berdasarkan data yang didapatkan, Kabupaten Bogor merupakan wilayah dengan laju deforestasi tertinggi di Provinsi Jawa Barat, pada data statistik kehutanan Jawa Barat tahun 2016 sampai tahun 2018 deforestasi terbesar terjadi di KPH Bogor dengan luas sekitar 7.435,77 ha. Selain itu, Kabupaten Bogor merupakan daerah hulu dari beberapa DAS yang ada di wilayah tersebut, dan mid-stream maupun daerah hilir-nya merupakan wilayah perkotaan dan bahkan metropolitan, tidak jarang Kabupaten bogor dijadikan kambing hitam atas banjir yang terjadi di wilayah D.K.I Jakarta dan sekitarnya. Tujuan dari penelitian ini adalah memprediksi deforestasi di Kabupaten Bogor dan membandingkannya dengan RTRW yang berlaku. Hasil dari penelitian ini yaitu peta rawan deforestasi, yang nantinya dapat dijadikan salah satu bahan pertimbangan rencana tata ruang wilayah ataupun perencanaan kawasan hutan. Melihat kedua permasalahan tersebut, maka perlu adanya kajian mengenai prediksi deforestasi. Pemodelan deforestasi dapat dilakukan dengan bantuan sistem informasi geografis melalui analisis cellular automata, data utama yang digunakan dalam penelitian ini yaitu peta penggunaan lahan tahun 2000, 2009, dan 2020, dan peta pola ruang Kabupaten Bogor yang berlaku. Variabel yang digunakan pada penelitian kali ini adalah topografi, jarak dari perairan, jarak dari jaringan jalan dan rencana jaringan jalan, jarak dari daerah urban dan rencana kawasan industri, jarak dari hutan, dan kelerengan. Hasil menunjukan bahwa Kabupaten Bogor berpotensi mengalami deforestasi seluas 15.665,79 ha, dan juga berpotensi mengalami reforestasi seluas 5.796,95 ha. Apabila dibandingkan dengan rencana pola ruang, hutan yang sesuai dengan rencana seluas 40.065,54 ha dan luas hutan berdasarkan pola ruang seluas 84.674,46 ha, maka selisihnya sekitar 44.608,92 ha.</jats:p