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All Journal Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi Geosfera Indonesia
Ramlah Ramlah
Department Of Geography, Institut Teknologi PLN, Jakarta, 11750, Indonesia
Humanities Earth & Planetary Sciences Education Environmental Science Social Sciences

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Analisis Spasial dan Faktor-Faktor Berpengaruh Terhadap Penyerapan Tenaga Kerja di Pulau Jawa Yetti Anita Sari; Khaerunisa Khaerunisa; Ramlah Ramlah
Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi Vol 7 No 2 (2023): Desember 2023
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/geodika.v7i2.21366

Abstract

Pembangunan ekonomi melibatkan dari berbagai interaksi mencakup sumberdaya alam, sumberdaya manusia, modal, dan teknologi. Sumberdaya manusia adalah indikator dari angkatan kerja yang memiliki kontribusi terhadap hasil pembangunan. Penelitian ini bertujuan untuk: 1) mengetahui perkembangan penyerapan tenaga kerja, belanja modal, penanaman modal dalam negeri, penanaman modal, dan upah minimum provinsi; 2) mengetahui faktor-faktor yang berpengaruh terhadap penyerapan tenaga kerja. Teknik analisis menggunakan analisis kuantitatif dengan regresi data panel dan sistem informasi geografi. Analisis spasial dari perkembangan penyerapan tenaga kerja paling tinggi diduduki oleh Provinsi Jawa Barat. Provinsi yang memiliki belanja modal paling tinggi adalah Provinsi DKI Jakarta. Provinsi Jawa Timur menduduki paling tinggi penanaman modal dalam negeri tahun 2014-2020. Penanaman modal asing nilai paling tinggi adalah Provinsi Jawa Barat. Nilai upah minimum provinsi tinggi adalah Provinsi DKI Jakarta. Hasil analisis regresi Fixed Effect Model adalah kontribusi belanja modal dan penanaman modal asing berpengaruh negatif signifikan terhadap penyerapan tenaga kerja. Variabel penanaman modal dalam negeri berpengaruh positif tidak signifikan terhadap penyerapan tenaga kerja. Upah minimum berpengaruh positif signifikan terhadap penyerapan tenaga kerja.
Identification of Relict Landslide Parts Based on Morphometric Data to Determine Potential Hazard Zones Combined with Surface Morphodynamics R. Ramlah; Redo Saputro
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.45736

Abstract

The destruction of houses and facilities by landslide causes deaths. In this context, the level of destruction and subjective description of the characteristics can be examined through landslide parts determination. Therefore, this study aims to determine potential landslide hazard zone and houses potentially affected. Global Navigation Satellite System (GNSS) and unmanned aerial vehicle (UAV) are morphometric surveys combined with surface morphodynamics to show potential hazard zones of landslide parts. Meanwhile, Data Elevation Model (DEM) is used to delineate relict landslide and the concept is verified by field observation and orthophoto. Morphometric measurements are collected at each slope gradient by GNSS and surface morphodynamics are investigated on the entire relict landslide area by direct observation and orthophoto data. The combination of morphometric and morphodynamic data describes hazard zone of relict landslide. In addition, the integration of orthophoto and landslide hazard zone data is used to determine potentially affected houses. This study was conducted on landslides 1 and 2 with zone classifications of very high, high, low and very low. The results show that there are different conditions and the most hazardous parts of landslides 1 and 2 are the foot and body, respectively. A total of 75 and 50 houses were potentially affected by landslides 1 and 2, respectively. Identification of hazard zones based on landslide parts determines the boundaries of the area affected. The addition of surface activity processes determines the level of hazard in each of parts, while the combination of morphometric and morphodynamic data shows landslide zone.
Co-Authors Khaerunisa Khaerunisa Redo Saputro Sari, Yetti Anita