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243 Documents
<![CDATA[Analisis Spasio-Temporal Perubahan Luas Lahan Garam di Pesisir Kabupaten Rembang ]]>
<![CDATA[Edwin Maulana]]>;
<![CDATA[Guridno Bintar Saputro]]>;
<![CDATA[Suprajaka Suprajaka]]>;
<![CDATA[Cahyawati Mandala Sari]]>
<![CDATA[ Jurnal Wilayah dan Lingkungan Vol 8, No 3 (2020): December 2020 ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/jwl.8.3.280-289
<![CDATA[The increase in salt consumption is not proportional to the growth of salt production land. So far, the mapping of salt ponds has been carried out on a small to medium scale, so the accuracy is not too good. This study aimed to analyze changes in large-scale salt ponds in Rembang Regency during the period of 2005-2015. The data source used is a Very High-Resolution Satellite Image (CSRST) which has been corrected and other secondary data. Salt area was calculated through visual interpretation and manual detection. CSRST data usage by visual interpretation methods and manual detection had advantages in terms of geometric accuracy compared with the use of medium-sized image of automation methods. The analysis showed that the area of salt land in Rembang Regency increased during 2005-2015. The biggest increase occurred in 2005-2011, which increased by 546,255 ha or by 32%. The increase in area during 2011-2015 was not significant by 198.45 ha (11.46%). Area expansion was expected to occur in the next few years, but it was not expected to be significant because of the optimal land use in the most of Rembang already. Expansion of salt ponds remained possible by converting the existing rice fields on the coast of Rembang Regency. However, a comparative study of the economic value of rice fields and salt ponds must be carried out before converting the paddy fields to salt ponds.]]>
<![CDATA[Penentuan Indeks Pencemaran Air dan Daya Tampung Beban Pencemaran Menggunakan Software QUAL2Kw (Studi Kasus Sungai Brantas Kota Malang) ]]>
<![CDATA[Novia Lusiana]]>;
<![CDATA[Akhmad Adi Sulianto]]>;
<![CDATA[Luhur Akbar Devianto]]>;
<![CDATA[Septyana Sabina]]>
<![CDATA[ Jurnal Wilayah dan Lingkungan Vol 8, No 2 (2020): August 2020 ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/jwl.8.2.161-176
<![CDATA[Starting in 2000, the growth of population and industries sector rapidly increased in Brantas Hulu’s river. This phenomenon brought environmental issues since most of industries dispose of their waste including organic-based pollution to the surrounding river. It contaminates the river and lowers the water quality. Minimum assessment on water contamination in Brantas River attracts the research on the area. The study aims to assess water quality on Brantas River based on several parameters: water quality pattern using QUAL2Kw model, determine of pollution level using pollutant index and pollution load capacity. The research relied on a quantitative description by measuring pollution level and calculating acceptable pollution load. The result shows that 10 from 12 sampling areas produced low pollution levels, while the others are moderate level of pollution. The most pollutant found in the Brantas River were BOD, nitrate, ammonia and phosphate. Simulation results from QUAL2Kw model accounted for 10.7% of error rate.]]>
<![CDATA[Sebaran Sampah Pantai di Pulau Timor, Nusa Tenggara Timur: Kajian pada Pantai Rekreasi ]]>
<![CDATA[Lumban Nauli Lumban Toruan]]>;
<![CDATA[Ismawan Tallo]]>;
<![CDATA[Suprabadevi Ayumayasari Saraswati]]>
<![CDATA[ Jurnal Wilayah dan Lingkungan Vol 9, No 1 (2021): April 2021 ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/jwl.9.1.92-108
<![CDATA[Beach debris is an increasingly important issue to study considering its negative impact on the terrestrial and marine environment. This research aims to examine the distribution of beach debris in Timor Island as a basis for managing and overcoming waste pollution. The research was conducted in August 2020 on six government-managed tourism beaches consisting of one city (Kupang) and five regencies (Malaka, Timor Tengah Selatan, Kupang, Timor Tengah Utara, and Belu). At each location, a transect of 100 meters was made parallel to the shoreline with a transect width of 10 m perpendicular to the shoreline measured from the back of the beach. All trash in the transect was taken, then cleaned from the sand, then put in plastic bags that have been labeled. The wet litter was sun-dried before being counted. All waste was then sorted, then counted in the amount of item, weight, and length. The results showed that the entire beach had been exposed to unmanaged waste. Plastic waste dominates the entire site with a composition of numbers of items between 63 - 95% (average 80 ± 12%) and length between 60 - 93% (average 75 ± 13%). The composition of the weight of plastic waste is between 20 - 72% (average 45 ± 21%), where the weight of plastic waste does not dominate at Motadikin Beach. The dynamics of ocean currents in the eastern monsoon are thought to have played a role in causing lower debris quantification at the Motadikin Beach (Malaka Regency) and Oetune Beach (Timor Tengah Selatan Regency) than to the other four beaches located in the north of Timor Island. The source of beach debris comes from recreational activities, fishing and anchoring activities, and anthropogenic waste carried away from the sea.]]>
<![CDATA[Interaksi Antarwilayah dan Sebaran Covid-19 di Provinsi Kalimantan Barat ]]>
<![CDATA[Syaiful Muazir]]>;
<![CDATA[L Lestari]]>;
<![CDATA[Muhammad Ridha Alhamdani]]>;
<![CDATA[Muhammad Nurhamsyah]]>
<![CDATA[ Jurnal Wilayah dan Lingkungan Vol 9, No 1 (2021): April 2021 ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/jwl.9.1.18-33
<![CDATA[Covid-19 is a disease that attacks the respiratory tract that began to be identified in Wuhan, China. WHO then announced the condition as a pandemic that quickly spread throughout the world. The rapid spread of the Coronavirus Pandemic (COVID-19) also occurred in West Kalimantan, Indonesia. In a spatial-temporal perspective, the spread of infectious diseases can be happened by the interconnectivity or interaction between areas, populations, and transportation facilities that facilitate community mobility. This research aims to describe the interactions between regions in West Kalimantan and the relation to the spread of the Covid-19 pandemic. The method used centrality measurement and cluster analysis, where the results of these calculations are then described in line with the distribution of the Covid-19 case in West Kalimantan. From the justification, areas with high centrality in the network configuration tend to have the most confirmed cases compared to other areas. The character of these areas tends to be the main entrance (air/port), the provincial capital, and the hub area in West Kalimantan, which is also included as the same cluster. Another interesting finding is that areas with low centrality, and included in the same cluster, have several people under surveillance which is quite large compared to the previous cluster. These areas tend to have a dense population and are directly related to the Provincial Capital and neighboring countries (border).]]>
<![CDATA[Dinamika Respon Mitigasi Petani Padi di Jawa Barat dalam Menghadapi Dampak Perubahan Iklim serta Kaitannya dengan Pendapatan Usaha Tani ]]>
<![CDATA[Elly Rasmikayati]]>;
<![CDATA[Bobby Rachmat Saefudin]]>;
<![CDATA[Dini Rochdiani]]>;
<![CDATA[Ronnie Susman Natawidjaja]]>
<![CDATA[ Jurnal Wilayah dan Lingkungan Vol 8, No 3 (2020): December 2020 ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/jwl.8.3.247-260
<![CDATA[Paddy farming has been affected by climate change phenomena such as high rainfall and long dry seasons which have caused plant and crop failure. To minimize the impact of climate change on their farming, paddy farmers undertake various strategies for dynamically adapting to climate change. This study aimed to analyze and assess the dynamics of the mitigation response by paddy farmers in West Java to minimize the impact of climate change. The object of research was paddy farmers in West Java. The research sample was selected using a multi-stage cluster random sampling technique to collect 300 respondents. Data analysis methods used descriptive statistics and multivariate analysis of variance (manova). The results showed that paddy farmers in West Java have dynamically mitigated climate change along with climate change over time. Types of climate change mitigation response applied by the majority of paddy farmers in West Java included planting shading trees, using energy saving technologies, cultivating organic agriculture, planting different crops instead of rice, changing farming to animal husbandry, migrating, looking for other income sources outside farming and renting/selling their land. Other mitigation responses that have rarely applied but interesting to explore were of shifting the planting and harvesting periods, selecting planting varieties, adapting plantation patterns and irrigation techniques. Farmers in Subang District who applied the most four types of climate change mitigation response earned higher income greater than those in Indramayu and Karawang. ]]>
<![CDATA[The Relationship of Education and Regional Income Level on Environmental Quality: Empirical Evidence from High Populated Country ]]>
<![CDATA[Fakhri Adrian]]>;
<![CDATA[Khoirunurrofik Khoirunurrofik]]>
<![CDATA[ Jurnal Wilayah dan Lingkungan Vol 9, No 2 (2021): August 2021 ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/jwl.9.2.186-197
<![CDATA[Indonesia is committed to implementing a sustainable development agenda by considering its quality and maintaining economic growth by improving public education and regional income. This study aims to estimate the relationship between education and regional income level with the environmental quality of Indonesian provinces. By applying the descriptive analysis and panel data regression, it is observed that regions with a high-level level of education and income are likely to have low environmental quality, which shows that education level has a negative relationship with environmental quality. In contrast, income level has no relationship with environmental quality. The empirical estimation revealed that higher education and regional income correlate with a lower level of environmental quality. It implied that the regional development in Indonesia has been at the cost of environmental degradation. It advised establishing an incentive and disincentive mechanism for economic actors to utilize energy resources and environmentally friendly production technology and bring the country into a sustainable development direction.]]>
<![CDATA[Dampak Sektor Transportasi Terhadap Perekonomian di Timor Barat: Suatu Analisis Model Input - Output (I-O) ]]>
<![CDATA[Thobias Arnoldus Messakh]]>;
<![CDATA[Ernan Rustiadi]]>;
<![CDATA[Eka Intan Kumala Putri]]>;
<![CDATA[Akhmad Fauzi]]>
<![CDATA[ Jurnal Wilayah dan Lingkungan Vol 9, No 2 (2021): August 2021 ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/jwl.9.2.127-141
<![CDATA[The development of the transportation sector on the West Timor is expected to be a driving machine in supporting other sectors, so that it will have a large multipler impact on the economy at the land borders of the country with Timor Leste. The government needs to make breakthroughs in the development of the transportation sector, because West Timor is experiencing a transportation infrastructure deficit. This is due to the low quality and quantity of transportation infrastructure capable of supporting the regional economy. This study aims to examine the impact backward and forward, as well as the multiplier impact of development on West Timor in 2018. The result of the researched was that the transportation sector in West Timor has a degree of distribution of 1.40. While the degree of sensitivity was 0.486. The multiplier effect on salaries and wages (multiplier income) is 2.069, and the impact on the total value added multiplier is 1.409. The transportation sector needs to be maximized by building intermoda connectivity of the transportation network that is more effective and efficient. It is also necessary to optimize connectivity in integrating the development phases of National, Provincial and District road sections. The network connectivity is expected to be able to encourage the production sector which is able to increase or develop production capacity, thus providing a more optimal multiplier impact in the future.]]>
<![CDATA[The Impact of Rapid Urban Growth on Potential Groundwater Pollution in Ngemplak Sub-District, Sleman District ]]>
<![CDATA[Rivi Neritarani]]>;
<![CDATA[Sadewa Purba Sejati]]>
<![CDATA[ Jurnal Wilayah dan Lingkungan Vol 9, No 2 (2021): August 2021 ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/jwl.9.2.198-212
<![CDATA[Ngemplak Sub-District is one of the administrative regions in Sleman Regency which has experienced quite intensive urban development. Based on several studies, this region experienced a fairly rapid change in landuse. This landuse changes has resulted in pressure on the natural resources in this region, especially water resources. The study aims to develop a strategy to maintain the sustainable function of land resources in the midst of massive land changes in Ngemplak Sub-District. This research uses landuse comparative method at two different times to identify rapid urban growth. Whereas to identify potential groundwater pollution, this research uses the GOD method which is use three parameters, they are groundwater occurrence (G), overall aquifer class (O), and depth to water table (D). Based on the results of data processing, there was an increase in built-up area in Ngemplak Sub-District from 2006 to 2015 amounting to 235. 58 hectares. This increase in built-up area is a trigger factor for the emergence of environmental problems, namely the exploitation of water resources found in this region. Based on the results of data processing using the GOD method, the overall potential groundwater pollution in the Ngemplak Sub-District is included in the extreme class.]]>
<![CDATA[Nilai dan Pola Transit Oriented Development (TOD) Indeks pada Jalur Commuter Line Bogor - Jakarta Kota ]]>
<![CDATA[Dewanti Aisyah Legowo]]>;
<![CDATA[Widyawati Sumadio]]>
<![CDATA[ Jurnal Wilayah dan Lingkungan Vol 9, No 2 (2021): August 2021 ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/jwl.9.2.142-154
<![CDATA[Designated as a sustainable city, Jakarta continues to improve its various public facilities, among others, by applying the TOD concept. This study aims to analyse the value and pattern of the TOD index on the Bogor-Jakarta Kota Commuter Line lane. The study was conducted on seven TOD commuter line between Bogor and Jakarta Kota railway stations. Data collecting was done by downloading information from various sources and observe the railway stations by visiting directly to the stations. Furthermore, the results of the data are categorized according to variables and criteria specified in the TOD Index. Descriptive analysis is used to divide TOD typology into city TOD and neighbourhood TOD. The results show that the highest TOD index value is found at Jakarta Kota Station which is the City TOD and the lowest value is at Tanjung Barat Station TOD which is the neighbourhood TOD. The form of the TOD index varies. Depok railway station that lies in the southern part and Jakarta Kota railway station situated in the northern part of the lane have high indexes. While railway stations that lie between these two stations have low indexes. The most influential variable is the internal variable, which shows by the station facilities. Office area and access back and forth to the stations are criteria that are the most important among other external variables. The conclusion of this study shows that a high index value does not always correspond to the TOD status, either as neighbourhood TOD or as city TOD. In TOD with a high index, the two variables do not always give the same role.]]>
<![CDATA[Emisi Gas Rumah Kaca Sektor Pertanian di Kabupaten Tuban: Inventarisasi dan Potensi Aksi Mitigasi ]]>
<![CDATA[Dhina Mustikaningrum]]>;
<![CDATA[Kristiawan Kristiawan]]>;
<![CDATA[Suprayitno Suprayitno]]>
<![CDATA[ Jurnal Wilayah dan Lingkungan Vol 9, No 2 (2021): August 2021 ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/jwl.9.2.155-171
<![CDATA[The agricultural sector is one of the contributors to greenhouse gas emissions in Indonesia. The inventory of greenhouse gases in the agricultural sector is not only carried out on land management, but also in the livestock sub sector. Tuban Regency, East Java Province has great potential to contribute to greenhouse gas emissions in the agricultural sector considering that the area of agricultural land and livestock population in this area is very high. This study aims to carry out an inventory of greenhouse gas emissions in the agricultural sector and potential mitigation actions in the same sector. The results of the research are expected to provide input for the Tuban Regency Government in designing mitigation actions that are feasible to implement. The greenhouse gas emission inventory is calculated using Tier-1 IPCC (International Panel on Climate Change) 2006 guidelines by multiplying activity data with emission factors according to IPCC standards. Activity data used for calculating GHG emission comes from secondary data. Meanwhile, the mitigation options obtained from interviews with representatives of farmer groups in Tuban Regency .The results show that the greenhouse gas emissions of the agricultural sector in Tuban Regency in 2019 is 1,665.67 Gg CO2-eq with details of the agricultural sub-sector of 1,092.50 Gg CO2-eq and the livestock sub-sector of 573.17 Gg CO2-eq. In the agricultural sub-sector, Plumpang Subdistrict occupies the top position as a contributor to greenhouse gas emissions and Tuban Subdistrict is the lowest position. Meanwhile, in the livestock sub-sector, Kerek subdistrict occupies the top position in contributing to GHG emissions and the lowest is in Tuban subdistrict. Through the implementation of balanced fertilization mitigation options and the use of low-emission rice varieties, the GHG emission in Tuban Regency can be reduced by up to 156,43 Gg CO2-eq. Both options are selected by farmers because it is easier and cheaper without relying on others.]]>
