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All Journal Jurnal Teknik PWK Jurnal Inovasi Pendidikan dan Sains Journal Peqguruang: Conference Series AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal DIALEKTIKA : Jurnal Ilmu Sosial Jurnal Teknologi Lingkungan Lahan Basah Jurnal Riset Perencanaan Wilayah dan Kota Jurnal Pengabdian Mandiri Jurnal Pengabdian Pada Masyarakat METHABDI Jurnal-Teknik Sipil Arsitek Perencanaan Wilayah (J-TSIAP) Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Pengabdian kepada MASyarakat (J-PMAS)
Hilmi Hilmansyah
Universitas Muhammadiyah Sorong (UNAMIN)
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Journal : Journal Peqguruang: Conference Series

 1 
ANALISIS PENGARUH PERTUMBUHAN KOTA KENDARI TERHADAP PENGEMBANGAN KAWASAN HINTERLAND PROPINSI SULAWESI TENGGARA Abubakar, Endang; Hilmansyah, Hilmi; Ibal, La
Journal Peqguruang: Conference Series Vol 5, No 1 (2023): Vol 5, No 1 (2023): Peqguruang, Volume 5, No.1, Mei 2023
Publisher : Universitas Al Asyariah Mandar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35329/jp.v5i1.3998

Abstract

The hinterland area is one part of the nodal area concept, where the division is based on the respective functions of each region. This study aims to analyze the effect of the growth of Kendari City on the development of the hinterland area of Southeast Sulawesi Province. Research using qualitative and quantitative methods with descriptive analysis and spatial analysis The results of the study showed that there was an increase in the interaction between Kendari City and other surrounding sub-districts, namely Ranomeeto District, Sampara District, and Soropia District. The model used to measure the interaction is the gravity model, which produces the gravity number for each sub-district. The district that has the largest gravity number with Kendari City is Ranomeeto District, followed by Sampara District, and finally Soropia District. Distance has a negative relationship with the force of gravity. The closer the distance between the two areas, the greater the gravity number generated, which indicates that the interaction between the two areas is getting bigger. In general, the interaction between Kendari City and its hinterland sub-districts during 2018–2022 has increased, although the increase has slowed down. The interaction between Kendari City and three other surrounding sub-districts, namely Ranomeeto Sub-District, Sampara Sub-District, and Soropia Sub-District, can be categorized as a generative type of relationship, namely a relationship that is mutually beneficial or mutually developing between more advanced regions and the regions behind them.
MODEL PERTUMBUHAN LAHAN TERBANGUN KOTA SEMARANG TAHUN 2023 DAN TAHUN 2028 DENGAN METODE CELLULAR AUTOMATA Hilmansyah, Hilmi; Marshush, Ummi Hanifah
Journal Peqguruang: Conference Series Vol 5, No 2 (2023): Peqguruang, Volume 5 Nomor 2 November 2023
Publisher : Universitas Al Asyariah Mandar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35329/jp.v5i2.4852

Abstract

Perkembangan spasial suatu kota dapat diprediksi dengan menggunakan data spasial, yang terdiri dari data penggunaan lahan yang diambil dari citra Landsat multi-temporal. Topik utama penelitian ini adalah penginderaan jauh dan pemodelan spasial kota. Tujuan penelitian adalah melakukan simulasi pertumbuhan lahan terbangun di Kota Semarang pada tahun 2023 dan 2028. Penelitian ini menggunakan citra Landsat 5 TM tahun 1998, citra Landsat 7 ETM+ tahun 2003 dan 2013, serta citra Landsat 8 OLI tahun 2003 dan 2013. 2018. Metode yang digunakan untuk mengekstraksi penggunaan lahan adalah klasifikasi terbimbing dengan menggunakan software ENVI 5.1. Hasil ekstraksi ini digunakan untuk menganalisis pemodelan pertumbuhan lahan terbangun pada tahun 2023 dan 2028 menggunakan metode Cellular Automata, mengikuti prinsip tren tanpa mempertimbangkan faktor pendorong dan pembatas. Proses pemodelan dilakukan dengan menggunakan perangkat lunak Terrset Geospatial Monitoring and Modeling System. Hasil simulasi model tahun 2023 menunjukkan adanya perubahan sel lahan terbangun sebanyak 85.000 sel atau seluas 8.200 hektar, dan untuk tahun 2028 menunjukkan perubahan sebesar 100.000 sel atau 9.500 hektar
Co-Authors Abu, Nur Alam, Risma Desembardi, Faried Endang Abubakar Histiarini, Aprisa Rian Ibal, La Iwan Rudiarto Klau, Stevanus Viki La Ibal Marshus, Ummi Hanifah Masniar Mega Wulandari, Mega murni murni Nurdjan, Nirwana Rahful A. Madaul Rahmi Ariani Salam Rian Histiariani, Aprisa Slamet Widodo Tajuddin, Tamrin Ummi Hanifah M. Ummi Marshush