{'fraction_non_alphanumeric': 0.021806853582554516, 'fraction_numerical': 0.0077204388459975615, 'mean_word_length': 5.27357689039932, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Strategy of urban settlement planning through a model of public service facilities

Densely populated residential areas always encounter city problems related to appropriate standards of living. Population growth and urbanization directly affect the low level standard of public service facilities. This research conducted in Jatimulyo Kampong Lowokwaru District Malang City. Research objective were to developed strategies for urban settlement through a model of public facilities. The first step used an analysis Unmanned aerial vehicle (UAV) to investigate the land cover of a residential area. The second was measured the level of public service facility services in urban areas, then analyse it based on population growth rate, and projection of urbanization to the public service facilities based on government standard. The next stage of data analysis is spatial analysis using ArcGIS to know which residential area could be served well which public facilities. Result of the research were the services of public service facilities in urban areas were quite good based on the current population. However, in year 2036, could not accommodate the increasing number of home and public services facilities because the land required for development was not equal with the availability of land. The appropriate strategies were needed to improve the services level of the public service facilities in Jatimulyo Kampong.


Introduction
Economic and employment growth drives the rate of urbanization. The rate of savings and capital investment feeds into expansion of the building stock and land-use conversion, as both a supply-side push factor of production, and a demand-side pull by consumers. Economic structures and employment patterns also affect the trends of peri-urbanization. Business technology affects not only employment but supply chain logistics, the distribution of production, services and consumption [1]. Urban built structures and infrastructure are the components of the physical urban system itself. The floor space per person for living and working, and the land intensity of such floor space, are the primary determinants, especially when house-hold size is taken into account. Then, the pattern of housing investment, housing form, community services, settlement density and morphology, are each relevant to the growth and pattern of peri-urban development. Transport and communications are the other key factors, as infrastructure can encourage or inhibit urban/rural migration, counter-urbanization, or re-urbanization. Transport is not only a matter of direct expansion: there has been a systemic change from a public transport-based radial pattern, to car and highway based network pattern [2]. Therefore, a study is required for the strategy of urban settlement planning through a model of public service facilities. Large cities still interest some parts of Indonesian society. Big city development as the centre of economic activity is a powerful pull for society, influencing high work force from both inside and outside of the city, causing a strong current of urbanization. One main problem that always accompanies urban areas development is density population. Urbanization has caused a very rapid explosion in the city population; one implication is the clumping work force in large Indonesian cities. The high number of people who choose to settle in the city increase the number of both legal and illegal settlements. In the high-density settlement, many houses are not liveable and irregular [3].
Various problem arises from high-density settlement areas, like the lack of standardized public service facilities. As time goes by, problems of these settlements become increasingly complex, the lack of attention from related parties also increase the protraction of this problem. This study is located at Jatimulyo Kampong, Lowokwaru District, Malang, could be seen in Figure 1.

Spatial Analysis and Buildings Distribution
The spatial analysis and building distribution use JOSM tools. JOSM (Java Open Street Map) is an Open Street Map Data tool editor. All plot building would be digitized then embedded with attributes and certain explanations, enabling every building to have different coordinates and information. The data needed for spatial analysis and building distribution are spatial data of land use, roads and building [4].

Recent Aerial Photo Analysis
Aerial Photo Analysis use drones that equipped with camera to observe the high-level and detailed condition of the related settlements, distribution of public building, street network, and land cover [5] [6]. They are then used as the latest database and verified with the data obtained aerially or through satellite. These data are also used as a reference for other analysis like delineation settlement region, threshold limit, etc.

Public Service facilities Analysis
Public service facilities analysis is performed using SNI 03-1733-2004 on Procedural Guidelines for Environmental Planning of Urban Housing [7]. The input data includes the number of public service facilities, area vehicle types as well as the range of services to produce the standardized service level [8].

Regional Services Threshold
The type of public service facilities are based on SNI 03-1733-2004 on Procedural Guidelines for Environmental Planning of Urban Housing [7]. This includes public service facilities of the education and learning public service facility, health public service facility, trading and commerce public service facility, culture and recreation public service facility, as well as open room, park and sports field. Each public service facility has a maximum service threshold while the population will also produce waste, and also require a certain amount of resources. Both have a clear correlation. Thus the population, the projected population and the potential basic needs of the population in the settlement area can be calculated.

Overview of Jatimulyo Kampong
Jatimulyo Kampong, Lowokwaru District, Malang City has an area of 259.75 ha. The northern boundary is Tunggulwulung District, the southern boundary is Penanggungan District, the western boundary is Dinoyo, and the eastern boundary is Mojolangu District. Jatimulyo Kampong is located at an altitude of 445 meters above sea level. The typology of Jatimulyo village consists of rice fields, cultivation, plantation, animal husbandry, mining/quarrying, handicrafts and small industries, medium and large industries and trade and services. Jatimulyo Kampong is divided into ten community groups which are divided into 75 neighbourhood groups [9,10].

Spatial Analysis, Buildings Distribution and Recent Aerial Photo Analysis
The results of the spatial analysis, buildings distribution and recent aerial photo analysis shows that Jatimulyo Kampong, Lowokwaru District is one of the high-density urban settlement region in Malang with a strategic location closed to the educational centre. The results of the spatial analysis could be seen in Figure 2.

Public Service Facilities Analysis
Here is the explanation about public service facilities analysis [11].

Public Service Facility Threshold in Jatimulyo Kampong
Jatimulyo Kampong is 259.75 ha wide with land use as described in Table 1 and existing land use on Figure 3 Details of the number of houses and public service, meanwhile facilities that which could be