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Geoplanning : Journal of Geomatics and Planning

geoplanning
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Published by Universitas Diponegoro

ISSN : - EISSN : 23556544 DOI : -

Core Subject : Science,

Earth & Planetary Sciences

Geoplanning, Journal of Geomatics and Planning (E-ISSN: 2355-6544), is an open access journal (e-journal) focusing on the scientific works in the field of applied geomatics technologies for urban and regional planning including GIS, Remote Sensing and Satellite Image Processing. This journal is published every six months in April and October (2 issues per year), and developed by the Geomatics and Planning Laboratory, Department of Urban and Regional Planning, Diponegoro University

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Articles 172 Documents

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LAND USE CHANGE IN SUBURBAN AREA: A CASE OF MALANG CITY, EAST JAVA PROVINCE Siti Nuurlaily Rukmana; Iwan Rudiarto
Geoplanning: Journal of Geomatics and Planning Vol 3, No 1 (2016)
Publisher : Department of Urban and Regional Planning, Diponegoro University

The development of suburban areas of Malang City has developed an expansion of built-up areas between urban and suburban areas. There has been a great phenomenon that mostly occurs along the suburban areas where industrial activities took place. This study aims to determine what factors have influenced the land use change in the suburban areas of Malang City by employing “GeoDa” application. It is one of the Geographical Information System applications that particularly deals with statistical analysis. To achieve this purpose, the objectives are: delineating the study area, analyzing the characteristics of land use change, assessing and analyzing the variable influencing the land use change. The results have shown that the characteristics of land use change, such as population, distance, migration, and occupation transformation are directly proportional to the land use change. It has also been identified that the high level of density is only located in the surrounding areas of industries. From the assessed variables through the statistical model, population (X1), density (X2) and migration (X3) are found as the influencing factors of land use change.

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.

REMOTE SENSING AND GIS FOR LAND COVER CLASSIFICATION AND CHANGE DETECTION IN GAZIPUR SADAR, BANGLADESH DURING 1973-2017 Md Arafat Hassan; Rakibul Islam; Rehnuma Mahjabin
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.5.2.215-228

RETRECTED BY EDITOR

THE IMPACT OF URBAN DYNAMIC TO LAND VALUE IN PERI-URBAN CORRIDORS OF SEMARANG, INDONESIA Rakhmatulloh, Anita Ratnasari
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018): In Press
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.0.0.%p

Land use change will lead to the urban development dynamics beginning with physical changes, functional changes, spatial changes, socioeconomic changes, as well as demographic changes. Different land uses can offer different land rent or land values. Therefore, urban dynamic lead to the expansion of cityâs boundaries caused by land use change. The purpose of this study is to identify the level of change in the biased land value which is used to indicate the urban dynamics in corridor of Semarang-Ungaran and Semarang - Mranggen. This research method using GIS analysis to show the changes of land value. The result shows that the land value can be used to perceive the urban dynamics in both corridors.

SPATIAL PATTERN OF RICE FIELD PRODUCTIVITY BASED ON PHYSICAL CHARACTERISTICS OF LANDSCAPE IN CITARUM WATERSHED, WEST JAVA Nugroho Purwono; Arif Aprianto
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.5.2.237-250

This research to analyze the pattern of rice field productivity that is identified through landscape perspective. Identification of productivity pattern has been done partially based on each typology of land components into several segment of the Citarum watershed, West Java Province, Indonesia. Spatial autocorrelation through GIS tool is used as the method in this research. By using moran’s I (index) measurement, degree of dependency of these variables are generated to find the spatial pattern. The result of this study is separated the value of productivity based on segments of watershed, the values of the average of productivity are upstream (6,39 ton/Ha), middle stream (6,52 ton/Ha), and downstream (7,17 ton/Ha), sequentially. The highest productivity is in the downstream area (9,83 ton/Ha) and the lowest is in the upstream area (4,55 ton/Ha). In accordance with physiographic typology showed the rice field in the middle stream has more variation than the upstream or the downstream area. The highest of average rice field productivity is on alluvial plain. Overall, the rice field productivity on the hills is higher rather that other types of landform the structural formation is more dominant, in addition. The spatial pattern shows the distribution of rice field productivity most likely to clustered based on the similarity of physiographic type. Statistically, it has p-value <0,01 and z-score >2,58 (239,26) correspond to Spatial Autocorrelation (Moron’s I). This positive value means a less than 1% likelihood that this clustered pattern could be result of random choice, which the rice field productivity value has similar pattern to others. Thus, it can be generated that the pattern of rice field productivity has a very close relation with the physical characteristics which associated of each typology of land components.

SPATIAL CONSERVATION STRATEGIES FOR POTENTIAL HERITAGE AT KAMPONG KAUMAN SURAKARTA Musyawaroh, Musyawaroh; Pitana, Titis Srimuda; Masykuri, Mohammad; Nandariyah, Nandariyah
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018): In Press
Publisher : Department of Urban and Regional Planning, Diponegoro University

Kauman is one of the cultural heritage kampong in Surakarta which was developed when Paku Buwono III was building Masjid Agung (The Great Mosque) in 1757. Abdi dalem ulama (the religious servant courtiers), together with their santries (Islamic students boarding school), live around the mosque which later was developed into Kauman. The abdi dalem ulama wives are taught to produce batik by the palace where they evolved to be batik entrepreneurs and made Kauman be batik center at the point of time. Batik business went bankrupt and made the Kaumanâs old buildings get ignored, damaged, and dirty due to the less maintenance. Kaumanâs unique culture should be conserved to support the ongoing revitalization. The researchâs main discussion was aimed at identifying the potential of cultural heritage at Kauman Surakarta and what strategies that can be used to conserve it. It was an applied research with the rationalistic qualitative approach. The conservation aspects discussed are tangible heritage and intangible heritage which are supported by spatial analysis using satellite imagery and Arch-GIS. The result of the research shows that tangible heritage which needs to be conserved at Kauman is ancient kampong toponym and ancient buildings. Meanwhile, intangible heritage is in the forms of social, cultural, economic, and religious aspects. The difference of this research from other researches is the involvement of Kauman community in preserving their area.

TOTAL SUSPENDED SOLID DISTRIBUTION ANALYSIS USING SPOT-6 DATA IN SEGARA ANAKAN, CILACAP Aisya Jaya Dhannahisvara; Hartono Harjo; Pramaditya Wicaksono; Ferman Setia Nugroho
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Spatial distribution and concentration of Total Suspended Solid (TSS) is one of the coastal parameters which are required to be examined in order to understand the quality of the water. Rapid development of remote sensing technology has resulted in the emergence of various methods to estimate TSS concentration. SPOT-6 data has spatial, spectral, and temporal characteristics that can be used to estimate TSS concentration. The purposes of this research are (1) to determine the best method for estimating TSS concentration, (2) to map TSS distribution, and (3) to determine the correlation between TSS concentration and chlorophyll-a concentration using SPOT-6 data in Segara Anakan. The estimation of TSS concentration in this research was performed using empirical model built from SPOT-6 and TSS field data. Bands used in this research are single band data (blue, green, red, and near infrared) and transformed bands such as band ratio (12 combinations), Normalized Difference Suspended Solid Index (NDSSI), and Suspended Solid Concentration Index (SSC). The result shows that blue, green, red, and near infrared bands and SSC index significantly correlated to TSS. Afterwards, regression analysis was performed to determine the function that can be used to predict TSS concentration using SPOT-6 data. Regression function used are linear and non-linear (exponential, logarithmic, 2nd order polynomial, and power). The best model was chosen based on the accuracy assessment using Standard Error of Estimate (SE). The selected model was used to calculate total TSS concentration and was correlated with chlorophyll-a field data. The result of accuracy test shows that the model from blue band has an accuracy of 70.68 %, green band 70.68 %, red band 75.73 %, near infrared band 65.58 %, and SSC 73.67 %. The accuracy test shows that red band produced the best prediction model for mapping TSS concentration distribution. The total TSS concentration, which was calculated using red band empirical model, is estimated to be 6.13 t. According to the correlation test, TSS concentration in Segara Anakan has no significant correlation with chlorophyll-a concentration, with a coefficient correlation value of -0.265.

THE EFFECT OF MINIMUM NOISE FRACTION ON MULTISPECTRAL IMAGERY DATA FOR VEGETATION CANOPY DENSITY MODELLING Akbar Muammar Syarif; Ignatius Salivian Wisnu Kumara
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.5.2.251-258

Minimum Noise Fraction (MNF) is known as one of the methods to minimize noise on hyper spectral imagery. In addition, there are not many studies have tried to show the effect of MNF transform on multispectral data. This study purposes to determine the effect of MNF transform on the accuracy level of vegetation density modeling using 10 meters Sentinel-2A spatial resolution (multispectral data) and to know the cause. The study area is located in parts of Sapporo City, Hokkaido, Japan. Vegetation density is modeled through vegetation index approach, Normalized Difference Vegetation Index (NDVI). The results show that the coefficient correlation of vegetation density data and vegetation index regression after MNF transformation (0.801623) has higher value than the same regression without the MNF (0.794481). However, better correlation does not represent the better accuracy on vegetation density modeling. Accuracy calculation through standard error of estimate shows the use of MNF in multispectral data for vegetation density modeling causes the decrease of model accuracy value. The accuracy of vegetation density model without involving MNF transformation reached 91.4%, while the model accuracy through MNF transformation before vegetation density modeling reached 90.89%. The insignificant increased accuracy is occurred due to the limited number of multispectral image information compared to hyper spectral image data.

POTENTIAL OF BIG DATA FOR PRO-ACTIVE PARTICIPATORY LAND USE PLANNING Walter Timo de Vries
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

The presence of (spatial) big data presumes that citizens can more actively collect and analyse data for their own land use goals. This article evaluates that claim. Given that land use planning heavily depends on participation and citizens’ own contributions the core question is whether and how (spatial) big data can enhance and/or complement current land use planning endeavours. The article starts by defining and conceptualising the various phases and objectives of land use planning. This is needed to verify where citizen participation can play a crucial role and where bottom-up influence can actually emerge. The article is fundamentally explorative. It relies on evaluating existing websites and documentation which conceptualise (spatial) big data and smart application, with a particular emphasis on ‘smart people’. A number of specific cases are explored in order to verify how and in which type of land use planning activity citizens are actively. The evaluation indicates that many the smart applications making use of big data are still largely driven by conventional hierarchical governance structures. The choice of data and associated analytics are still largely confined and the opportunities whereby the designs of the new and alternative land use options by citizens are accepted or adopted is still limited. The take-home message is that adoption of big data for the purpose of empowering citizens is still limited. There probably needs to be more exemplary projects and various forms of capacity development and exploratory pilots before the full potential of (spatial) big data can be employed for bottom-up land use planning.

TIME TRAVEL ESTIMATIONS USING MAC ADDRESSES OF BUS, PASSENGERS: A POINT TO PATH-QGIS ANALYSIS Arief Hidayat; Shintaro Terabe; Hideki Yaginuma
Geoplanning: Journal of Geomatics and Planning Vol 5, No 2 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.5.2.259-268

Currently, the developmentof wifi is proliferating. Especially in the field of transportation and smart cities. At the same time, wifi is a low-cost technology, which offers a longer survey time and is able to support the big data era. This paper describes our study, which first uses a wifi scanner to capture media access control (MAC) address data of bus passengers wifi devices and then identifies each MAC address travel time to confirm the bus passengers. The MAC address is a unique ID for aech device used suchh as moble phones, smartphones, laptops, tablets, and other wifi-enabled equipment. The wifi scanner was placed inside the bus to capture all tthe MAC addresses inside and around the bus. The survey was conducted for one day (eight hours). The paper describes the procedure of the time travel estimation for each MAC address using the “point to path” analysis in QGIS open source software. This procedure, using point to path-GIS, produced 70.000-80.000 raw data points cleaned into 100-130 new data point. The procedure determined how many passengers traveled and explained which bus passengers used based on travel time.

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