Rieneke Lusia Evani Sela
Universitas Sam Ratulangi

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

HOUSING EXPANSION AND LANDSCAPE FRAGMENTATION: A MULTITEMPORAL LANDSCAPE-METRICS ANALYSIS Rieneke Lusia Evani Sela; Andy Anton Mangopa Malik; Sonny Tilaar; Dwight Viosela Aaron Mambu; Erlangga Nonto
EDUCATIONE Volume 4, Issue 2, July 2026
Publisher : CV. TOTUS TUUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59397/edu.v4i2.263

Abstract

Mapanget District is a peri-urban growth area of Manado City where residential development has altered the composition and configuration of land use. This study reanalyzes a consistent 2014, 2019, and 2024 land-use series and uses landscape metrics to distinguish patch proliferation from spatial consolidation. Google Earth imagery was interpreted visually, digitized on screen, processed in ArcMap 10.8, and converted to raster for FRAGSTATS 4.2 analysis. The 2026 map is reported only as a separate descriptive snapshot because its class legend is not equivalent to the 2014-2024 classification. Between 2014 and 2024, residential land increased by 172.82 ha, while plantation and wasteland decreased by 154.80 ha and 37.42 ha, respectively. At the landscape level, Number of Patches increased from 1,152 to 1,530, Patch Density from 21.63 to 28.70 patches per 100 ha, Edge Density from 102.38 to 119.33 m/ha, and Shannon's Diversity Index from 1.22 to 1.27. Residential patches increased from 489 to 747; however, the slight decline after 2019 and the rise in residential Largest Patch Index from 1.44% to 3.29% indicate partial coalescence alongside continued outward expansion. The 2026 snapshot records 1,199.26 ha of settlement and 2,699.91 ha of plantation, but these values are not used to infer a continuous trend. The findings support compact, infrastructure-connected growth and stronger protection of remaining non-built-up land. Interpretation is limited by the absence of an independent accuracy assessment, a harmonized 2026 legend, and a class-to-class transition matrix.
ANALISIS SPASIAL HUBUNGAN PARKIR ON-STREET DENGAN GANGGUAN LALU LINTAS DI KECAMATAN MALALAYANG: SPACE SYNTAX ANALYTICAL Rieneke Lusia Evani Sela; Daniel Harvey Tulis; Ronny A.R. Sondakh; Anita K. Ramadhani
Jurnal Pendidikan Geografi Undiksha Vol. 14 No. 2 (2026): Jurnal Pendidikan Geografi Undiksha
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpg.v14i2.104176

Abstract

Malalayang District is one of the activity centers in Manado City, encompassing offices, educational institutions, as well as trade and service sectors. The high volume of vehicle mobility in this area has led to frequent traffic congestion across most road segments, primarily due to limited parking space and widespread on-street parking. This study aims to analyze the spatial relationship between traffic congestion and the distribution of on-street parking, as well as other potential contributing factors. The Space Syntax method is applied to map the connection between spatial configuration and community activities. The results indicate that on-street parking is a major contributing factor to congestion, especially on roads with high closeness centrality values. Therefore, the development of off-street parking facilities and integrated spatial planning policies are urgently needed to improve traffic flow in the area.