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Pengaruh Perubahan Tutupan Lahan Terhadap Emisi GRK pada Wilayah Cepat Tumbuh di Kota Semarang Danar Dewa, Dimas; Sejati, Anang Wahyu
Jurnal Penginderaan Jauh Indonesia Vol 1 No 1 (2019): JPJI
Publisher : Masyarakat Ahli Penginderaan Jauh Indonesia (MAPIN) /Indonesian Society of Remote Sensing (ISRS)

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Effects of Land Cover Changes on GHG Emissions in Fast-Growing Areas in Semarang City This article aims to convey the results of the calculation of greenhouse gas (GHG) emissions from land cover change factors. The method used is spatio-temporal with remote sensing supported by Support Vector Machine classification techniques from Deztsaka Tools. The results obtained were the most significant changes in land cover occurred in the forest land cover class which decreased by 1515.29 Ha (21%). Carbon reserves in fast-growing areas have decreased by 90,741.06 tons (68.58%) and 22% of the area has released GHG emissions in the amount of more than 1000 tons. This phenomenon requires serious attention because land cover change is very significant, so that control efforts through spatial planning policies are absolutely necessary.

Toward Sustainable Preservation of Cultural Heritage Buildings: A Combination of Digital Mapping and Architectural mapping for Omah Pencu in the Historic Area of Kudus Kulon Suprapti, Atik; Sejati, Anang Wahyu; Sardjono, Agung Budi; Pandelaki, Edward E.; Malik, Abdul; Huwaida, Nurma Mediasri
TEKNIK Vol 41, No. 3 (2020): December 2020
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/teknik.v41i3.27922

This study aims to map the existence of the wooden houses of Omah Pencu and classifies their potencies as heritage buildings in the historic area of Kudus Kulon. Caring for indigenous cultural heritage will contribute to the strengthening of local identity. The traditional houses of Omah Pencu have been developing as the specific architecture since the end of the 17'th century, as a living place of the â€˜Gusjigang' community, and artifacts evident of the city heyday. However, the pressure of modernization-capitalization in the city caused several changes in their built environment and decreased the number of Omah Pencu. This research concern with the GIS interpretation methods and the direct observations use the questionnaire, interview, and architectural documentation. The findings provide an important database for preservation in the digital era. The digital mapping, combined with the mapping of tangible and intangible buildings, produces digital information about the Omah Pencu building condition that has never been done before. Through this mapping, found that the participation effort of the community caused the sustainability of preservation. It is a very significant bottom-up participation. Â However, toward sustainable preservation, a strategy, planning, design, and management that integrated all stakeholders and resources by utilizing digital technology are needed.

Prediksi Suhu Permukaan Lahan dengan Memanfaatkan Teknologi Citra Multi Temporal dan Permodelan Cellular Automata di DKI Jakarta Febrianto, Adi; Sejati, Anang Wahyu
Geo-Image Vol 10 No 1 (2021): Geo-Image
Publisher : Geo-Image

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Various functions of the city and complete facilities have made Jakarta a magnet for urbanizing. The high rate of population growth makes the land demands to be high and consequently the amount of open space land conversion into built up which resulting in an increase of land surface temperature. The purpose of this research is to see the pattern of land cover change and the intensity of land surface temperature between 2009 and 2019 and to predict conditions that will occur in the future, precisely in 2030. The method used is calculating the dynamics of land cover with supervised classification, calculating the land surface temperature by utilizing a thermal image sensor and then predicting land cover using the cellular automata method. The prediction results of land cover are also used as input in predicting land surface temperatures. The results obtained are that the land cover from 2009 to 2019 shows an increase in the area of the built up area from 83% to 87%. The addition of built up area has occupied open land resulting in the loss of low temperature areas <25oC and the emergence of temperatures > 35oC with an average temperature increase of 1.4oC. Furthermore, the prediction of land cover with control scenarios is able to control the built-up area by increasing the area of vegetation and water. However, this scenario is not effective enough to restrain the surface heat rate of Jakarta. Fungsi Kota yang beragam dan fasilitas yang lengkap membuat Jakarta menjadi magnet destinasi urbanisasi penduduk. Tingginya angka pertumbuhan penduduk membuat kebutuhan lahan menjadi tinggi dan berakibat besarnya alih fungsi lahan terbuka menjadi lahan terbangun yang mengakibatkan naiknya suhu permukaan lahan. Tujuan penelitian ini adalah melihat pola perubahan tutupan lahan dan intensitas suhu permukaan lahan antara tahun 2009 dan 2019 serta memprediksi kondisi yang akan terjadi dimasa yang akan datang tepatnya Tahun 2030. Metode yang dipergunakan adalah menghitung dinamika tutupan lahan dengan klasifikasi terbimbing, penghitungan suhu permukaan lahan dengan memanfaatkan sensor termal citra dan selanjutnya dilakukan prediksi tutupan lahan dengan metode cellular automata. Hasil prediksi tutupan lahan juga dipergunakan sebagai masukan dalam memprediksi suhu permukaan lahan. Hasil yang diperoleh adalah tutupan lahan dari tahun 2009 hingga 2019 memperlihatkan penambahan luasan area terbangun dari 83% menjadi 87%. Penambahan arra terbangun telah mengokupasi lahan terbuka yang mengakibatkan hilangnya area suhu rendah <25oC dan munculnya suhu >35oC dengan peningatan rata-rata suhu sebesar 1,4oC. Selanjutnya prediksi Tutupan Lahan dengan skenario pengendalian mampu mengendalikan area terbangun, menambah area vegetasi dan perairan. Namun demikian skenario tersebut belum cukup efektif untuk menahan laju panas permukaan kota Jakarta.

Prediksi Suhu Permukaan Lahan dengan Memanfaatkan Teknologi Citra Multi Temporal dan Permodelan Cellular Automata di DKI Jakarta Febrianto, Adi; Sejati, Anang Wahyu
Geo-Image Vol 10 No 1 (2021): Geo-Image
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar

Various functions of the city and complete facilities have made Jakarta a magnet for urbanizing. The high rate of population growth makes the land demands to be high and consequently the amount of open space land conversion into built up which resulting in an increase of land surface temperature. The purpose of this research is to see the pattern of land cover change and the intensity of land surface temperature between 2009 and 2019 and to predict conditions that will occur in the future, precisely in 2030. The method used is calculating the dynamics of land cover with supervised classification, calculating the land surface temperature by utilizing a thermal image sensor and then predicting land cover using the cellular automata method. The prediction results of land cover are also used as input in predicting land surface temperatures. The results obtained are that the land cover from 2009 to 2019 shows an increase in the area of the built up area from 83% to 87%. The addition of built up area has occupied open land resulting in the loss of low temperature areas <25oC and the emergence of temperatures > 35oC with an average temperature increase of 1.4oC. Furthermore, the prediction of land cover with control scenarios is able to control the built-up area by increasing the area of vegetation and water. However, this scenario is not effective enough to restrain the surface heat rate of Jakarta. Fungsi Kota yang beragam dan fasilitas yang lengkap membuat Jakarta menjadi magnet destinasi urbanisasi penduduk. Tingginya angka pertumbuhan penduduk membuat kebutuhan lahan menjadi tinggi dan berakibat besarnya alih fungsi lahan terbuka menjadi lahan terbangun yang mengakibatkan naiknya suhu permukaan lahan. Tujuan penelitian ini adalah melihat pola perubahan tutupan lahan dan intensitas suhu permukaan lahan antara tahun 2009 dan 2019 serta memprediksi kondisi yang akan terjadi dimasa yang akan datang tepatnya Tahun 2030. Metode yang dipergunakan adalah menghitung dinamika tutupan lahan dengan klasifikasi terbimbing, penghitungan suhu permukaan lahan dengan memanfaatkan sensor termal citra dan selanjutnya dilakukan prediksi tutupan lahan dengan metode cellular automata. Hasil prediksi tutupan lahan juga dipergunakan sebagai masukan dalam memprediksi suhu permukaan lahan. Hasil yang diperoleh adalah tutupan lahan dari tahun 2009 hingga 2019 memperlihatkan penambahan luasan area terbangun dari 83% menjadi 87%. Penambahan arra terbangun telah mengokupasi lahan terbuka yang mengakibatkan hilangnya area suhu rendah <25oC dan munculnya suhu >35oC dengan peningatan rata-rata suhu sebesar 1,4oC. Selanjutnya prediksi Tutupan Lahan dengan skenario pengendalian mampu mengendalikan area terbangun, menambah area vegetasi dan perairan. Namun demikian skenario tersebut belum cukup efektif untuk menahan laju panas permukaan kota Jakarta.

THE INFLUENCE OF SPRAWL DEVELOPMENT, INCOME, AND INFRASTRUCTURE ON ENERGY CONSUMPTION IN CENTRAL JAVA PROVINCE, INDONESIA Imam Buchori; Angrenggani Pramitasari; Agung Sugiri; Anang Wahyu Sejati; Maryono Maryono; Yudi Basuki
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Energy consumption is influenced by many factors. Sprawl development is often alleged as one of its driving factors. Other factors like the increase of community welfare and the improvement of regional infrastructures are often indicated to trigger energy consumption. This study is aimed at investigating the influence of sprawl development and other relevant factors on the energy consumption in Central Java Province, Indonesia. Other variables denoted to influence energy consumption used in this study are road density, people’s income represented by local Gross Domestic Product (GDP) per capita, and GDP growth rate. The observed energy is limited on vehicle fuels. After investigating the significance of correlations among variables, a multiple regression model is employed. By eliminating GDP per capita because of its multicollinearity with other dependent variables, the developed formula shows that fuel consumption is generated by 47.84 of sprawling index, added by 17.21 of road ratio and 17.5 of GDP growth rata, and reduced by a constant of 26.18. These measurements are expected to be useful for urban and regional managers in developing their region, especially in estimating the fuels’ consumption considering the determined regional policies.

The Ex-Ante Evaluation of Hotel Buildings Height in Airport Area: A Case of Hotel in Kaliwungu, Peri-Urban Area of Semarang Anang Wahyu Sejati; Sri Rahayu; Bitta Pigawati; Jurike Winarendri
Journal of Architectural Design and Urbanism Vol 1, No 1 (2018): September 2018
Publisher : Department of Architecture, Faculty of Engineering, Universitas Diponegoro, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jadu.v1i1.3038

This paper conveys the findings on hotel buildings evaluation in the peri-urban of Semarang based on ex-ante evaluation. Ex-ante is an evaluation model before project activities are implemented to minimize development impacts. Evaluation of altitude was done with three models, namely the ratio of floor area (FAR), Angle of Light Obstruction (ALO), and building height calculation in the airport area applicable in Indonesia. Furthermore, the evaluation of the strategic value of the location with three criteria was the proximity of industrial zone, accessibility, and proximity to tourist destinations. This study was successfully answers the question of maximal height rules and the number of stories allowed for hotel buildings in peri-urban Semarang. The result suggest the regulation of building height in Kaliwungu especially for hotel building in aviation safety area. Maximum height allowed is 32.5 m or 8 stories. The existing regulations have not regulated these issues, so collaborative planning should be carried out between the government of Semarang City and Kendal Regency. With collaborative planning, problems in both regions, especially regarding the height of buildings such as hotels can be coordinated.

VOLUNTEERED GEOGRAPHIC INFORMATION (VGI) APPLICATION FOR MONITORING LAND USE VIOLATION CASE STUDY: CIGANJUR FLOOD Bayu Purwanto; Anang Wahyu Sejati
Jurnal Riset Informatika Vol. 3 No. 3 (2021): June 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v3i3.89

Land in DKI Jakarta has problems in land use. Many land-use does not comply with planning. Illegal buildings are often found in areas designated for green open space and river boundaries. Land use monitoring requires the role of information technology. This research uses an open-source-based application to develop easier and cheaper. The application consists of a smartphone-based application for the process of reporting land-use violations with the concept of Volunteered Geographic Information (VGI). The application can directly analyze verified data with spatial planning. The analysis uses overlay analysis to see the location and extent of violations in land use. The results of the analysis can be used as a basis for local governments to impose punishment on illegal buildings and to plan for future cities.

Dampak Keberadaan Bandar Udara terhadap Harga Lahan: Studi Kasus Bandar Udara Internasional Yogyakarta di Kecamatan Temon Margarena, Candra; Sejati, Anang Wahyu; Rahayu, Sri
Teknik PWK (Perencanaan Wilayah Kota) Vol 13, No 1 (2024): Februari 2024
Publisher : Jurusan Perencanaan Wilayah dan Kota

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/tpwk.2024.34614

Keberadaan bandar udara yang merupakan sarana transportasi skala besar dapat menimbulkan efek spillover kepada wilayah – wilayah yang terhubung dengannya. Pemindahan Bandar Udara Internasional Yogyakarta ke Kecamatan Temon diperkirakan akan menghasilkan efek spillover yang sama. Adanya bandar udara baru di suatu wilayah dapat memicu pertumbuhan percepatan perkembangan kota yang dapat mempengaruhi harga lahan. Penelitian ini menggunakan teknik webscraping dan wawancara untuk mendapatkan data harga lahan sejumlah 89 titik sampel. Sampel harga lahan tersebut kemudian di interpolasi menggunakan inverse distance weighting untuk mendapatkan peta harga lahan. Harga lahan pada tahun 2014 hingga 2022 mengalami peningkatan dari 50.000-400.000 rupiah menjadi 250.000-10.000.000 rupiah. Harga lahan tersebut ditentukan oleh akses terhadap jalan dan jarak dari Bandar Udara Internasional Yogyakarta dan bukan oleh jarak terhadap CBD. Hasil penelitian ini menunjukkan ada keterkaitan antara keberadaan Bandar Udara Internasional Yogyakarta dengan harga lahan di Kecamatan Temon..

Spatial Modeling for River Quality Assessment to Enhance Sustainable Water Resource Management Regulations Syafrudin, Syafrudin; Sarminingsih, Anik; Juliani, Henny; Sejati, Anang Wahyu; Budihardjo, Mochamad Arief; Sani, Muhammad Thariq; Wati, Hessy Rahma; A'yun, Husnul Karimah Qurrata
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 22, No 1 (2025): March 2025
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v22i1.183-195

Water is a crucial asset and serves as a significant factor in the quality of life, especially in supporting key sectors such as agriculture, energy, industry and conservation of natural ecosystems. Water quality can be significantly affected by pollution from effluents, especially in developing countries such as Indonesia which faces the added challenge of rapid population growth. This research focuses on monitoring water quality in the Garang River Sub-region, Semarang, by utilizing Internet of Things (IoT) technology for real-time monitoring. The methods used include the Storm Water Management Model (SWMM) model and an IoT-based monitoring system to measure important parameters such as temperature, pH, turbidity, Dissolved Oxygen (DO), Chemical Oxygen Demand (COD), and nitrate and phosphate concentrations. The results showed that the Chemical Oxygen Demand (COD) parameter often exceeded quality standards, especially in areas with domestic and industrial activities. The IoT monitoring system facilitates precise and instantaneous data gathering., supporting sustainable water resources management. This research emphasizes the need for evaluation and adjustment of policies related to waste management and spatial planning to reduce pollution and improve water quality.

Urban Growth and Clustering Surakarta Peri-Urban Area Pamungkas, Muhamad Rizal Fernandita; Sejati, Anang Wahyu
The Indonesian Journal of Planning and Development Vol 9, No 1 (2024): February 2024
Publisher : Department of Urban and Regional Planning, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ijpd.9.1.%p

The high rate of urbanization in the world has an impact on the urban growth that extend to urban fringe areas or commonly called suburbanization. Surakarta City is one of the PKN in Central Java Province which serves the surrounding area. During its development, Surakarta City was transformed into a main city that served its suburbs. Limited land in cities causes urban activity to spread to peri-urban areas. As a result, there have been many changes in agricultural land into built-up areas that threaten the food resilience. Research on urban growth is not only calculating changes in area over a certain period of time, but needs to pay attention to the cluster area. This study aims to monitoring urban growth and clustering of the Surakarta peri-urban area. This study used remote sensing methods to detect land use change and cluster analysis to classify peri-urban areas based on suburbanization characteristics. This research used a random forest supervised classification method to determine the type of land cover and a non-hierarchical method in clustering its peri-urban areas. The results showed that for 18 years, there was an increase in the area of built land covering an area of 4248 hectares. It is predicted that the peri-urban area of Surakarta will continue to grow. In 2036, 9024 hectares will be built in the peri-urban area of Surakarta. In the cluster analysis test, 3 clusters were produced including clusters with low, medium, and high suburbanization characteristics.

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