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<![CDATA[Konektivitas Wilayah Terhadap Lokasi Posko Penanggulangan Bencana Banjir di Kecamatan Sayung Kabupaten Demak ]]>
<![CDATA[Anandi, Trivianto Januar]]>;
<![CDATA[Ariyani, Indrayati]]>;
<![CDATA[Hariyanto, Hariyanto]]>
<![CDATA[ Geo-Image Vol 8 No 1 (2019): Geo-Image ]]>
Publisher : <![CDATA[Geo-Image ]]>
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<![CDATA[This research was purposed to find out the connectivity of the area to the location of flood prevention post in Sayung Demak. The approach used in this research was descriptive kuantitative approach by data processing method using Geographic Information System. Connectivity can be determined by the number of edges and vertices, by knowing the connectivity to the flood post location in Sayung Demak, it will be easier to get information which village in Sayung should get more attention from related parties due to its difficult location to get reach. The result of the research is there are 3 evacuation sites, 3 health locations, and 1 public kitchen in Sayung. Then Based on the distance,researcher determine which village is closest to the 3 evacuation posts and health posts that have been provided. Based on the calculation can be seen that the lowest connectivity is generally found in the villages that connected to the evacuation posts located in the Purwosarivillage. As well as health posts, the lowest connectivity are generally found in the villages located in the post in the Purwosari village.]]>
<![CDATA[Analisis Daya Dukung Wisata Kota Lama untuk Pengembangan Wisata Budaya Kota Semarang ]]>
<![CDATA[Shinta, Lukito Clara]]>;
<![CDATA[Budi, Santoso Apik]]>;
<![CDATA[Moch., Arifien]]>
<![CDATA[ Geo-Image Vol 8 No 1 (2019): Geo-Image ]]>
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<![CDATA[Tourism development in the Old City Semarang was conducted to prepare for the 2020 World Heritage from UNESCO. Based on this, the tourism potentials in the Old City Semarang need to be improved to attract tourists to come. As a tourism area, the harmony between the number of tourists with the provided capacity is indispensable for providing pleasure for the coming tourists. The aims of this study are 1. To identify the cultural tourism potential of Old City, 2. To calculate the support capacity of the Old City as a tourist destination in Semarang, and 3. To analyze the development of cultural tourism. The data analysis used is descriptive and the calculation of support capacity using the Douglas method (1975) in Fandeli (2001). Based on the results of the study, it found that the effective support capacity of the Dream Zone Museum was 96, the 3D & Trick Art Museum was 447, Art Contemporary Gallery was 5,997 and the Old City Park was 25. The results showed that the attractions in Old City Semarang have different support capacity. The Dream Zone Museum and the Old City Park are need to be developed because of the high support capability value. Whereas, the 3D & Trick Art Museum and Art Contemporary Gallery are included in the exceeded support capacity, so that there is a need of control and arrangement in the development.]]>
<![CDATA[Pemanfaatan SIG untuk Analisis Kerentanan Kerusakan Jalan di Kabupaten Grobogan ]]>
<![CDATA[Bagus, Santoso]]>;
<![CDATA[Suharini, Erni]]>;
<![CDATA[Hariyanto, Hariyanto]]>
<![CDATA[ Geo-Image Vol 8 No 1 (2019): Geo-Image ]]>
Publisher : <![CDATA[Geo-Image ]]>
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<![CDATA[The purpose of this research to know the degree of vulnerability of the province road damage in Grobogan Regency and to know the factor wich the most influential about vulnerability of the province road damage in Grobogan Regency. All of the province road in the area of Grobogan Regency in this research aggregate 11 roads The data collection technique used observation and documentation. The analysis data technique used SIG analysis. The result of research show from the length totally 156,23 Km, the road included in the degree vulnerability of damage to low road were 18,9 Km, middle degree 136,83 Km, and high degree 0,5 Km. The factor wich most influential toward vulnerability was traffic volume amount 30%.]]>
<![CDATA[Kebutuhan Air Tanah di Desa Rawan Kekeringan Kecamatan Sempor Kabupaten Kebumen ]]>
<![CDATA[Islammei, Rahayu Annisa]]>;
<![CDATA[Wahyu, Setyaningsih]]>
<![CDATA[ Geo-Image Vol 8 No 1 (2019): Geo-Image ]]>
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<![CDATA[Society use groundwater sources to meet water needs. The water sources used are springs and wells. In the dry season the water source decreases, water needs of the society cannot be fulfilled by the availability of groundwater. The aims of this study are to know the water needs of the society in villages which prone to drought in Sempor subdistrict.Domestic water needs of villages which prone to drought in Sempor subdistrict are 1,063,313 liters/day.]]>
<![CDATA[Strategi Penghidupan Rumah Tangga di Das Garang Hulu ]]>
<![CDATA[Yesy, Latifunnisa]]>;
<![CDATA[Liesnoor, Setyowati Dewi]]>
<![CDATA[ Geo-Image Vol 8 No 1 (2019): Geo-Image ]]>
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<![CDATA[The research aim to examine the livelihood strategies of houshold in the Garang Hulu watershed. The population in this research are 7.652 households which spreads in 4 villages there are Munding, Lerep, Kalirejo, and Pakintelan with 99 households as the sample. Area sampling and purposive sampling methods are used to decide which households near the river and to divide the research areas into two part there are upstream area of DAS and downstream area of DAS. Data collection tools and techniques used were documentation, questioners, interviews, and observation. Data analysis techniques in this research used were quantitative descriptive and spatial analysis. The results showed that the intensification strategy in the upstream watershed was agroforesty while in the downstream watershed area was ‘panca usaha tani” strategy. The diversification strategy through livestock and trade was taken in the upstream area, while the downstream area was dominated by the service sector as the employees or workers. The migration strategy permanen and “menglajo”with the reason of working in the upstream area, while migration with the reason of marriage in the downstream watershed area.]]>
<![CDATA[Karakteristik dan Faktor Penyebab Permukiman Kumuh di Kelurahan Tanjung Mas Kota Semarang ]]>
<![CDATA[Salma, Muvidayanti]]>;
<![CDATA[Sriyono, Sriyono]]>
<![CDATA[ Geo-Image Vol 8 No 1 (2019): Geo-Image ]]>
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<![CDATA[Tanjung Mas is one of the village in Semarang City which is located in a strategic area giving rise to slums. This study aims to (1) identify houses including slums and non-slums in Tanjung Mas, (2) find out the slum level of settlements in Tanjung Mas, (3) find out the causes of slums in Tanjung Mas. Object of this study is that there are slums in Tanjung Mas village, while the subject of this study is the patriarchswho reside in slums. This study uses image interpretation analysis techniques and descriptive analysis. Determination of samples using proportional random sampling technique. The results of this study are maps of settlement slums in Tanjung Mas, Semarang City. The slum level of settlements is divided into 4 categories, which are not slums, light slums, medium slums, and heavy slums. The total slum area in Tanjung Mas is 37,34 Ha which is caused by several factors : (1) densification, (2) ageing, and (3)inundation.]]>
<![CDATA[Dampak Spasial Berdirinya Kawasan Industri Candi Terhadap Penggunaan Lahan di Wilayah Kecamatan Ngaliyan Kota Semarang ]]>
<![CDATA[Muntaman, Putra]]>;
<![CDATA[Juhadi, Juhadi]]>;
<![CDATA[Heri, Tjahjono]]>
<![CDATA[ Geo-Image Vol 8 No 1 (2019): Geo-Image ]]>
Publisher : <![CDATA[Geo-Image ]]>
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<![CDATA[This study aimed to find out the spatial impact of the establishment of temple industrial area on the land use in Ngaliyan. Quantitative approach with spatial data processing, weighting and descriptive methods was used in this research. The establishment of industrial areas would make either positive impacts or negativer ones; it would require certain amountof land, so that land – use changes occurred, guava orchards transformed into industrial area. By knowing this industrial area development, some impacts could be decreased and its RTRW system( administrative division) could be obeyed. The research results showed that the most significant land use in 2005 until 2015 was for industrial arears of 5.59 ha, and for the residential areas increased to 2.75 ha. As for the carrying capasity in Ngaliyan, it had a medium one so that it had a moderate interpretation as well; and the impacts of the land – use changes underwent some condition changes due to the development of industrial areas around the templen in the amount of -1,33 %.]]>
<![CDATA[Pengaruh Rob Terhadap Perubahan Pendapatan Petani Tambak di Kecamatan Tirto Kabupaten Pekalongan ]]>
<![CDATA[Febrian, Ramadhan]]>;
<![CDATA[Eva, Banowati]]>;
<![CDATA[Hariyanto, Hariyanto]]>
<![CDATA[ Geo-Image Vol 8 No 1 (2019): Geo-Image ]]>
Publisher : <![CDATA[Geo-Image ]]>
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<![CDATA[This study aims: To find out the tidal flood conditions by using a Geographic Information System. (2) Knowing the effect of tidal floods on population income. (3) Knowing adaptation strategies for rob floods. This study uses descriptive quantitative research methods with simple linear regression statistical analysis techniques. The results showed that the results showed that all villages in the northern part of the Tirto sub-district were affected by the tidal floods. The results of linear regression analysis between tidal flood heights and farmer farmer income showed a correlation value (R) of 0.32 and a coefficient of determination (R2) of 0.10 which means that both variables have a low relationship and influence. The adaptation strategy of the farmer to the tidal flood is that the community makes improvements to the pond land by means of waring, making retaining embankments and planting mangroves. The suggestion from this research is that the parameters used to determine the tidal flood area should be more complete. In addition, the development of similar studies to determine the effect of tidal flood heights with farmer farmer income must consider the ownership factors, the location of the ponds of each farmer and the productivity of the farm.]]>
<![CDATA[Daya Saing Komoditas Silvofarming Dalam Pembangunan Daerah Di Kabupaten Banjarnegara ]]>
<![CDATA[Desi, Hardianti]]>;
<![CDATA[Ariyani, Indrayati]]>;
<![CDATA[Rahma, Hayati]]>
<![CDATA[ Geo-Image Vol 8 No 1 (2019): Geo-Image ]]>
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<![CDATA[This study aims to determine the commodity empon-empon silvofarming which became the base and know the commodity of silvofarming base that can grow fast and has a change to compete in both districts in Banjarnegara Regency. This research method used was descriptive quantitative. Data analysis techniques used in this research is LQ, Shift Share and descriptive. The results of the study explained that the empon-empon silvofarming commodity is mostly able to be the base in several districts in Banjarnegara Regency and has good competitiveness because it is able to grow fast. However, empon-empon silvofarming commodity is also not yet able to become a base, but has the potential to develop. The empon-empon silvofarming commodities that are prioritized for the development of the region in Banjarnegara Regency are zingiber officinale, alpinia galanga, kaempferia galanga,zingiber zerumbet, curcuma xanthorrhiza and curcuma aeruginosa commodities.]]>
<![CDATA[Sebaran Kelayakan Air Sumur Sebagai Air Baku Minum di Kelurahan Sekaran Kecamatan Gunungpati Kota Semarang Tahun 2018 ]]>
<![CDATA[Oki, Rahayu Eklesia]]>;
<![CDATA[Ananto, Aji]]>;
<![CDATA[Tukidi, Tukidi]]>
<![CDATA[ Geo-Image Vol 8 No 1 (2019): Geo-Image ]]>
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<![CDATA[Sekaran village has a dense population due to the existence of Semarang State University. This has an effect on environmental conditions, especially the availability of water for daily activities that have an impact on increasing waste water. This situation affects groundwater quality. The purpose of this study was to determine the feasibility of well water as drinking raw water based on mandatory parameters and analyze the effect of well construction with well water pollution. This study uses several methods of data collection, namely observation methods, questionnaires, documentation, and laboratory tests. The results of this study indicate that well water in Sekaran Village is only 7 (28%) samples that are feasible to be used as drinking raw water, 18 (72%) other samples are not feasible. Construction of well buildings shows the influence of pollutant sources, on the construction of wells that do not meet the requirements proved to be unfit for use as drinking raw water.]]>
