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All Journal Indonesian Journal of Geography Geoplanning : Journal of Geomatics and Planning Jurnal Wilayah dan Lingkungan Jurnal Tataloka Jurnal Geografi REKA RUANG KURVATEK Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi
Lulu Mari Fitria
Institut Teknologi Nasional Yogyakarta
Humanities Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Social Sciences Other

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Measuring Urban Form Units: Alternative for Characterizing Urban Growth Pattern in Yogyakarta Urbanized Areas Mutiasari Kurnia Devi; Lulu Mari Fitria; Muhammad Sani Roychansyah; Yori Herwangi
Indonesian Journal of Geography Vol 52, No 2 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.40599

Abstract

Yogyakarta is one of city in Indonesia which experience urban agglomeration called by Yogyakarta Urbanized Area (YUA). In this paper, identified the characters of each part of YUA by examining its urban form unit. This paper assesses the characteristics of urban forms distributed within YUA. Quantitative measurements were proposed for classifying the urban form typologies. Density, diversity, and accessibility were used to represent the urban form characteristic., the typologies are classified into three groups which are low compact, middle compact, and high compact. The result shows that the majority areas in YUA are grouped into middle compact typology where most of them are located in the city of Yogyakarta administrative area. Meanwhile, the areas, categorized as low compact typology, are in the hinterland area of Yogyakarta. High compact typology are concentrated in the centre of YUA where it has the highest activity concentration for the whole urban structure context. This study discovers that characterizing the urban growth patterns using quantitative method can distinguish urban form. At the end, this paper provides an important note about the distribution of urban form typology in the agglomeration area and, in the future, can be used to design urban policies, especially in the utilization of urban space. 
DROUGHT HAZARD CHARACTERISTIC USING SOIL MOISTURE DEFICIT INDEX MODELLING Lulu Mari Fitria; Septiana Fathurrohmah
Geoplanning: Journal of Geomatics and Planning Vol 5, No 1 (2018)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.5.1.91-100

Abstract

Drought happen when the rainfall decreases in the extreme condition for long period of  time (above normal). Drought hazard mapping can be analyzed by various approaches, like environmental approach, ecological approach, hydrological approach, meteorological approach, geological approach, agricultural approach, and many other. Badan Meteoroligi dan Geofisika (BMKG) measures the drought hazard by utilizing Standardized Precipitation Index (SPI)The comparison of rainfall rate through SPI has positive correlation with drought type, for example SPI 3 indicates agricultural drought; while SPI 6, SPI 9 and SPI 12 indicate hydrological drought. The analysis of drought hazard level also can be done using soil moisture level measurement. Soil moisture is the result of water shortages in the hydroclimatological concept. Soil moisture analysis utilizes several influenced variables, such as soil water, precipitation, evapotranspiration, and percolation. Each of variables was analyzed using GIS Software as a method of soil moisture modeling. Drought index level analysis is using soil moisture deficit index, which indicates that drought occurs if the index score less than (-0,5). Some assumptions used in this modeling are both SMDI modeling using WHC (Water Holding Capacity) and  without using WHC. This modeling used medium term analysis during 2007-2012 to prove the occurrence of extreme drought on 2009 and 2012 for measurement of drought level in agriculture area. Based on SMDI, it is known that the dangers of SMDI drought have positive correlation to SPI 3, SPI 6, SPI 9, and SPI 12, where SPI is in accordance with the interpretation of meteorolgy, agriculture, and hydrological drought indices. 
Identifikasi Perilaku Perjalanan Melalui Metode Critical Path Method (CPM) Lulu Mari Fitria; Mutiasari Kurnia Devi; Muhammad Sani Roychansyah; Yori Herwangi; Siti Nurjanah
TATALOKA Vol 22, No 3 (2020): Volume 22 No. 3, August 2020
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/tataloka.22.3.453-462

Abstract

Mobilization in urban areas has increased every year along with the population growth and urban's development. Travel behaviors of the population in urban areas can be classified based on their travel characteristics. The identification of communities' travel behavior of Yogyakarta is based on the origin - destination and length of trip based on age characteristics. It will effects the travel patterns in the urban environment through spatial mapping. The method used in this research is critical path method. Critical Path Method (CPM) is used to determine the optimum path taken by the community based on its duration, which in this study CPM is used to determine the average travel of the community based on age groups when viewed from distance, length of trip and the number of daily trips. Based on the analysis, it shows that the average age of 15-22 years and 31-37 years have the highest travel time, which is about 9 hours and the average age of 23-30 years traveled the longest by 12.5 km. The average mobilization of travel behaviors in KPY is to the urbancenter of Yogyakarta. The KPY urban form does not have a compact form. 
ANALISIS KERENTANAN BENCANA LONGSOR DI LERENG GUNUNG WILIS KABUPATEN NGANJUK Lulu Mari Fitria
KURVATEK Vol 1 No 1 (2016): April 2016
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v1i1.104

Abstract

Bencana longsor yang terjadi di Lereng Gunung Wilis Kabupaten Nganjuk meliputi Desa Ngetos dan Sawahan. Bencana longsor yang terdapat di Lereng Gunung Wilis tersebut telah mengakibatkan kerugian baik materi maupun jiwa. Penelitian ini dilakukan bertujuan untuk menilai tingkat kerentanan bencana longsor di Lereng Gunung Wilis Kabupaten Nganjuk. Penilaian faktor-faktor yang menjadi variabel tingkat kerentanan ini dilakukan dengan metode impact assessment. Analisis tingkat kerentanan bencana longsor dilakukan dengan menggunakan metode overlay. Berdasarkan hasil analisis kerentanan diketahui bahwa kerentanan bencana longsor dinilai berdasarkan kerentanan fisik, kerentanan sosial, kerentanan ekonomi, dan kerentanan lingkungan. Tingkatan kerentanan bencana longsor dibagi menjadi tiga tingkatan yakni ringan, sedang, berat.  Kata kunci: longsor, kerentanan, fisik, sosial, ekonomi, lingkungan
Identifikasi Elemen Kota Tangguh dalam Kebijakan Pembangunan dan Tata Ruang Kota Semarang Novi Maulida Ni'mah; Lulu Mari Fitria; Godelifa Fanumby; Ita Yuliani
KURVATEK Vol 6 No 1 (2021): April 2021
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v6i1.2084

Abstract

Semakin populernya pengarusutamaan ketangguhan (resilience) dalam konteks pembangunan kawasan perkotaan yang berkelanjutan maka diperlukan tata kelola pemerintahan yang mampu beradaptasi terhadap perubahan lingkungan akibat dampak bencana dan perubahan iklim. Mengacu pada the New Ten Essentials for Making Cities Disater Resilient UNISDR maka penelitian ini bertujuan untuk mengidentifikasi kota tangguh bencana melalui perspektif kebijakan. Penelitian ini akan mengidentifikasi elemen kota tangguh dalam kebijakan pembangunan dan tata ruang Kota Semarang sebagai kota di Indonesia yang telah ditetapkan sebagai 100 Resilient City. Metode yang digunakan dalam penelitian adalah literature review atas kebijakan. Hasil dari penelitian ini adalah The New Ten Essential yang paling mendominasi kebijakan ada tiga kriteria yaitu Pursue resilient urban development and design (Mengejar pembangunan dan desain perkotaan yang Tangguh), Safeguard natural buffers to enhance the protective functions offered by natural ecosystems (Menjaga penyangga alami untuk meningkatkan fungsi perlindungan yang ditawarkan oleh ekosistem alami), dan Increase infrastructure resilience (Meningkatkan ketangguhan infrastruktur).Kata kunci: Kota Tangguh, Tata Kelola, Kebijakan, The New Ten Essential, UNISDR.
Analisis Tingkat Kerentanan Sosial Akibat Perkembangan Permukiman di Kawasan Perkotaan Yogyakarta Lulu Mari Fitria
REKA RUANG Vol 1 No 1 (2018): Reka Ruang
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/rkr.v1i1.776

Abstract

Penelitian ini diangkat berdasarkan latar belakang perkembangan kawasan permukiman di KPY yang berhubungan dengan adanya perkembangan jumlah penduduk. KPY merupakan kawasan yang dikelilingi oleh berbagai bencana yakni gunung berapi, gempa, banjir, kekeringan dan lainnya. Dengan adanya perkembangan permukiman ini pula mengakibatkan tingkat kerentanan kawasan di KPY. Berdasarkan Perka BNPB No.2 tahun 2012 diketahui bahwa tingkat kerentanan sosial diidentifikasi berdasarkan variabel kepadatan penduduk, jumlah penduduk rentan, keretanan penduduk berdasarkan jenis kelamin, penduduk miskin. Akibat perkembangan permukiman tersebut diperlukan analisis terhadap kerentanan sosial di KPY melalui analisis GIS. Kerentanan sosial tingkat tinggi terdapat pada 31 desa, kerentanan sosial tingkat sedang terdapat pada 36 desa, dan kerentanan sosial  tingkat rendah terdapat pada 5 desa. Adapun kecamatan yang memiliki tingkat kerentanan sosial tinggi adalah Kecamatan Banguntapan, Danurejan, Gamping, Gedongtengen, Gondomanan, Kotagede, Kraton, Mantrijeron, Mergangsan, Ngampilan, Pakualaman, Tegalrejo, Umbulharjo, Wirobrajan.
Kerentanan Fisik Terhadap Bencana Banjir di Kawasan Perkotaan Yogyakarta Lulu Mari Fitria; Novi Maulida Ni'mah; Leonardus K. Danu
REKA RUANG Vol 2 No 1 (2019): Reka Ruang
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/rkr.v2i1.1048

Abstract

Analisis risiko bencana dapat diniliai berdasarkan tingkat ancaman bahaya dan kerentanan. KPY berada di kawasan yang rawan terhadap bencana banjir. Berdasarkan InaRisk BNPB (2016) diketahui bahwa tingkatan bahaya banjir di KPY yakni meliputi bahaya banjir rendah dan tinggi. Pengukuran risiko bencana melalui pemetaan tingkat keretenanan juga dapat dinilai berdasarkan karakteristik fisik. Kerentanan fisik ini meliputi parameter rumah, fasilitas umum dan fasilitas kritis. Adapun penilaian terhadap kerentanan fisik ini diukur berdasrkan standar dari BNPB yang meliputi kelas dan bobot masing-masing parameter. Berdasarkan hasil analisis diketahui bahwa tingkat keretanan fisik di KPY memiliki tingkatan rendah, sedang, dan tinggi yang tersebar di sekitar kawasan terbangun KPY. kerentanan, fisik, KPY, bencana
Analisis Pemanfaatan Ruang Terhadap Perubahan Garis Pantai di Pulau Derawan Kabupaten Berau Yusliana Yusliana; Hasrianyah Hasrianyah; Lulu Mari Fitria
Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi Vol 6, No 1 (2022): Juni 2022
Publisher : Program Studi Pendidikan Geografi Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/geodika.v6i1.5198

Abstract

berbagai potensi yang dimiliki wilayah pesisir menyebabkan pemanfaatan ruang terus mengalami peningkatan. Meski memiliki nilai ekonomi tinggi, namun masifnya pemanfaatan ruang tersebut menjadi ancaman wilayah pesisir, termasuk di Pulau Derawan. Oleh sebab itu, penelitian ini bertujuan untuk mengetahui perubahan pemanfaatan ruang dan perubahan garis pantai di Pulau Derawan. Teknik pengumpulan data utama dalam penelitian ini menggunakan teknik studi dokumen, baik data dokumen dari instansi pemerintah maupun dokumen spasial seperti citra google earth dan peta penggunaan lahan. Analisis data dalam penelitian ini menggunakan pendekatan Sistem Informasi Geografi dengan teknik overlay. Hasil penelitian menunjukkan bahwa pada periode tahun 2011-2020 telah terjadi peningkatan pemanfaatan ruang sangat signifikan untuk kawasan permukiman dari 9,41 ha bertambah menjadi 17,86 ha. Terdapat pula area yang mengalami penysutan area seperti RTH akibat alihfungsi lahan, bahkan beberapa area hilang seperti dermaga umum dan landasan helikopter (helipad) akibat adanya abrasi pantai. Sedangkan garis pantai selama kurun waktu 10 tahun tersebut mengalami pengurangan panjang lingkar garis pantai sepanjang 93 meter atau 9,3 meter pertahun.
DISTRIBUTION PATTERNS AND SETTLEMENT DENSITY USING NEAREST NEIGHBOR ANALYSIS AND KERNEL DENSITY ANALYSIS IN DIY COASTAL AREAS Yusliana Yusliana; Lulu Mari Fitria; Emilius Paldi Antus; Irsyad Adhi Waskita Hutama
JURNAL GEOGRAFI Vol 14, No 2 (2022): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v14i2.32972

Abstract

DIY's coastal area is one of DIY's development priorities by establishing the site as an economic corridor that impacts physical development, such as settlements in the coastal area of DIY. This study aims to analyze the distribution and density of settlements. The method used in research is a quantitative descriptive and Geography Information System approach. The analysis used in this study is Nearest Neighbour Analysis (NNA) and Kernel Density Analysis with an analysis tool in ArcGIS 10.5. The results of the NNA show that the three districts located on the coast of DIY have the same distribution pattern characteristics, namely, the clustered pattern, which means the NNA index value is <1 or the T value ranges from 0-0.80. The results of the kernel density analysis show that the most significant density is found in Kulon Progo Regency, precisely in Wates District, and Bantul Regency, precisely in Srandakan District. At the same time, for Gunung Kidul Regency, it is less significant, and the density is only centered on one density point. Several factors cause settlement density, including physical factors (topography, slope, soil type, and clean water sources), accessibility (proximity to transportation routes and proximity to the city center), availability of facilities and infrastructure (electricity network, educational facilities, and health), and environmental factors (natural and human resources).Keywords: Settlements, Coastal, NNA, Kernel Density
Pemetaan Daya Dukung Lingkungan Penyedia Air Bersih Berbasis Jasa Ekosistem di Tarempa Kabupaten Anambas Erik Febriarta; Lulu Mari Fitria; Karina Bunga Hati; Ahmad Ghazali; Deni Agus Setyono; Rakyan Paksi Nagara
Jurnal Wilayah dan Lingkungan Vol 10, No 2 (2022): August 2022
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jwl.10.2.107-125

Abstract

Carrying capacity of the environment is a condition of the physical ability of the environment to be utilized and manageable to meet the needs of life and development of an area. Water resources are a basic need for human activities and living things around them. The environmental carrying capacity of the supply factor in the form of clean water is part of the strategic steps for environmental management and protection in the Anambas Islands. The study aims to determine the level of environmental carrying capacity of clean water supply factors. The study was conducted using the ecosystem service method. The parameters used for the calculation of carrying capacity are the ecoregion which provides information on the physical condition of the landscape with the same characteristics and characteristics, the land cover which provides corrections to land-based economy activities and hydrogeological conditions, which provide information on the availability of groundwater and the potential for water productivity. The three environmental data scores and weight values are graded using the analytical hierarchy process (AHP) and then are calculated linearly for all these variables, resulting in an environmental services index value. The value of environmental services is grouped into five classes, so it is known that the environmental carrying capacity of clean water providers on Siantan Island is 32.9% very high carrying capacity, 1.36% high carrying capacity, 6.2% medium carrying capacity, low carrying capacity 21 %, and the carrying capacity is very low 38.5%. In general, the environmental conditions of clean water providers on Siantan Island are very low.
Co-Authors Ahmad Ghazali Deni Agus Setyono Emilius Paldi Antus Erik Febriarta Godelifa Fanumby Hasrianyah Hasrianyah Irsyad Adhi Waskita Hutama Ita Yuliani Jayawarsa, A.A. Ketut Karina Bunga Hati Leonardus K. Danu Muhammad Sani Roychansyah Muhammad Sani Roychansyah Mutiasari Kurnia Devi Rakyan Paksi Nagara Septiana Fathurrohmah Siti Nurjanah Yori Herwangi, Yori Yusliana Yusliana