Article Per Year (5 Year)
p-Index From 2021 - 2026
4.925
P-Index
This Author published in this journals
All Journal JCES (Journal of Character Education Society) Infotekmesin Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi Pangea : Wahana Informasi Pengembangan Profesi dan Ilmu Geografi geoedusains: Jurnal Pendidikan Geografi Journal of Geography Science and Education Geosfera: Jurnal Penelitian Geografi Kelimutu Journal of Community Service jgeo Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Jurnal Penelitian Pendidikan Geografi
Rahmawati, Arfita
Unknown Affiliation
Humanities Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 32 Documents
Search

 1   2   3   4 
Analisis Potensi Sumber Daya Perikanan dalam Menunjang Kesejahteraan Nelayan di Wilayah Pesisir Pantai Namosain Kupang Alfair, Farhan Naufal; Sunimbar, Sunimbar; Rahmawati, Arfita
Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi Vol 9 No 2 (2025): Mei 2025
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/geodika.v9i2.29994

Abstract

Wilayah Pesisir Pantai Namosain Kupang memiliki potensi sumber daya perikanan yang dapat dijadikan sumber penghidupan bagi masyarakat nelayan. Oleh sebab itu, penelitian ini bertujuan untuk: 1) mengetahui bagaimana respon masyarakat nelayan terhadap potensi sumber daya perikanan yang dapat dimanfaatkan sebagai sumber penghidupan; dan 2) mengetahui respon masyarakat nelayan terhadap peran sumber daya perikanan terhadap kesejahteraan mereka. Metode yang digunakan adalah deskriptif kuantitatif dengan pengambilan sampel secara probability sampling yang melibatkan 79 responden dari masyarakat nelayan. Analisis data dilakukan menggunakan uji validitas, uji reliabilitas, uji linearitas, uji heteroskedastisitas, serta uji regresi linear sederhana dengan bantuan perangkat lunak SPSS. Hasil penelitian menunjukkan: 1) Sebagian besar masyarakat nelayan setuju bahwa potensi sumber daya perikanan di Wilayah Pesisir Pantai Namosain Kupang dapat dimanfaatkan sebagai sumber penghidupan, hal ini dibuktikan dengan 81% responden menyatakan Setuju; 2) sumber daya perikanan di Wilayah Pesisir Pantai Namosain Kupang dapat meningkatkan kesejahteraan masyarakat nelayan, hal ini dibuktikan dengan sebagian besar responden menyatakan Setuju (81%). Dengan demikian dapat disimpulkan bahwa potensi sumber daya perikanan di Wilayah Pesisir Pantai Namosain Kupang memiliki dampak signifikan terhadap kesejahteraan nelayan, sehingga pengelolaan yang berkelanjutan diperlukan untuk mempertahankan dan meningkatkan kesejahteraan mereka.
ANALISIS KONDISI DAN DISTRIBUSI POTENSI EKONOMI DI KABUPATEN SUMBAWA BARAT Sejati, Martina Ayu; Haryani, Poppy; Manalu, Tugma Jaya; rahmawati, Arfita; Ginting, Febriyanti Angelia
Jurnal Geografi Vol 21 No 1 (2025): JURNAL GEOGRAFI
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jgeo.v21i1.22047

Abstract

An important aspect in describing the success of development is through analyzing the economic conditions of the region. Economic analysis also plays an important role in assessing regional inequality. Kabupaten Sumbawa Barat is one of the regions that has a diversity of resources and has various types of economic sectors. The objectives of this research include: (1) Analyzing the regional financial capacity in Kabupaten Sumbawa Barat; (2) Analyzing the Economic Base Sector by business field in Kabupaten Sumbawa Barat in 2019-2023; and (3) Analyzing the value of Economic inequality in Kabupaten Sumbawa Barat. The method applied in this research is quantitative descriptive method with secondary data from the Central Bureau of Statistics, and related agencies. The calculation techniques used are: Calculation of regional financial capability (Degree of Fiscal Decentralization); Financial Independence (Degree of Fiscal Autonomy); Location Quotient (LQ); and Williamson Index. The results showed that the value of the Degree of Fiscal Decentralization (DDF) in Kabupaten Sumbawa Barat in 2019 was 6% and fell into the category of very less, while for 2020 to 2023 it was 13% and fell into the category of less. Meanwhile, the value of the Degree of Fiscal Autonomy (DOF) in 2019 is the lowest value, namely 11.3 and has increased in 2023 to 22 and is included in the concurrency classification. The base sector is the mining and quarrying sector (4.78). The other three sectors that have the highest value and potential are the transportation and storage sector (0.31), the construction sector (0.29) and the agriculture, forestry and fisheries sector (0.29).While the sector with the lowest value is the processing industry (0.07). The value of economic inequality using the Wiliamson Index shows an inequality value of 0.77 and falls into the high inequality category.
Analisis Penerapan Model Problem Based Learning Terhadap Kemampuan Berpikir Spasial Pada Materi Sistem Informasi Geografis Bana, Trully Yessyca; Rahmawati, Arfita; Ersani, Erry
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.34809

Abstract

Spatial thinking ability is a core skill that students must possess to understand and solve problems in geography. Spatial thinking involves the integration of spatial concepts, spatial information methods, and reasoning processes that enable students to analyze spatial relationships. This cognitive skill allows learners to transform and collaborate between spatial concepts and representational tools to comprehend geospheric phenomena. This study aims to examine the implementation and influence of the Problem-Based Learning (PBL) model on improving students’ spatial thinking ability at SMA Negeri 1Amarasi Barat in the 2025/2026 academic year. The study employs a classroom action research design with a quantitative approach. The research subjects were students of classes X1 and X2. The research procedure consisted of planning, implementation, observation, data analysis, reflection, and follow-up stages. Data were collected through questionnaires and learning achievement tests, then analyzed using mean calculations and simple linear regression tests assisted by SPSS. The findings show a significant improvement in the experimental class, with the N-gain increasing from a pretest mean of 46.65 to a posttest mean of 71.57, while the control class decreased from 57.65 to 42.26. The hypothesis test revealed significance values (2-tailed) of 0.000 and 0.001 0.05, indicating that the PBL model has a significant positive effect on students’ learning outcomes. Thus, Problem-Based Learning is proven effective in enhancing spatial thinking and improving the quality of geography learning. 
Peta Potensi Daerah Rawan Kekeringan di Kabupaten Sikka Berbasis Penginderaan Jauh Hure, Valentino Moat; Rahmawati, Arfita; Pamungkas, Bella Theo Tomi
Pangea : Wahana Informasi Pengembangan Profesi dan Ilmu Geografi Vol 5, No 2 (2023): Pangea: Wahana Informasi Pengembangan Profesi dan Ilmu Geografi
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/pangea.v5i2.6948

Abstract

Penelitian ini bertujuan untuk: (1) mengetahui Peta Potensi Daerah Persebaran kawasan bencana kekeringan di Kabupaten Sikka. Penelitian menggunakan metode kuantitatif dengan populasi tiga Kecamatan yaitu Kecamatan Kangae, Kecamatan  Paga, Kecamatan Magepanda, dengan menggunakan teknik Nonprobability sampling. Sumber terdiri dari data primer dan sekunder yang dikumpulkan dengan observasi, Studi literatur dan dokumentasi. Teknik analisis data menggunakan teknik Deskriptif Kuantitatif, Overlay, dan Parameter Tingkat Rawan Kekeringan. Hasil analisis dalam penelitian menunjukkan bahwa: (1) Hasil Analisis Parameter dapat di ketahui bahwa di Kecamatan Kangae paling dominan untuk kemiringan lereng  berkisar 0- 8 %, solum tanah 5 cm Cm bertekstur halus, Curah hujan 1.324- 1.604 mm dengan tingkat rawan kekeringan tinggi, (2) Kecamatan Paga paling dominan untuk kemiringan lereng  berkisar 8 – 15 %, solum tanah 50 Cm bertekstur halus, Curah hujan 1.145- 1.346  mm dengan tingkat rawan kekeringan tinggi, (3) Kecamatan Magepanda paling dominan untuk kemiringan lereng  berkisar 8 - 15 %, solum tanah 50 Cm bertekstur halus, Curah hujan  1.444- 1.674 mm dengan tingkat rawan kekeringan tinggi.
Pemetaan Kelas Kesesuaian Lahan Untuk Budidaya Tambak Dengan Metode Skoring Ariawan, Radhi; Rahmawati, Arfita
Infotekmesin Vol 12 No 2 (2021): Infotekmesin: Juli 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i2.727

Abstract

Pond cultivation is a coastal sector’s potential in Nusawungu District. To optimize the potential of fish and shrimp ponds in Nusawungu District, mapping of the suitable coastal locations as pond cultivation areas was carried out. This research was included in descriptive – quantitative study of the suitability class of pond cultivation land by using the scoring method from the overlay parameter of land usage, soil type, soil texture, slope inclination, pond to river distance, and pond to beach distance. The land suitability class based on this method was divided into 3 (three) classes, suitable (S1), conditionally suitable (S2), and unsuitable (S3). The results showed that 48.32% or an area of 29.6008 km2, categorized S1 (suitable) as location for pond cultivation. Furthermore, the S2 (Conditionally suitable) class was recorded for 33.98% or an area of 20.8039 km2. S3 (unsuitable) class was recorded for 17.72% or an area of 10.8553 km2.
Pelatihan Penggunaan Artificial Intelligence (AI) Dalam Mendukung Inovasi Pembelajaran Adaptif pada MGMP Geografi di Kabupaten Malaka Manek, Agustinus Hale; Rahmawati, Arfita; Pamungkas, Bella Theo Tomi; Nata, Andrinata; Boesday, Louise Ferdinand; Manek, Alfridus Mau
Jurnal Kelimutu Pengabdian Masyarakat Vol 5 No 2 (2025): Kelimutu Journal of Community Service (KJCS)
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/kjcs.v5i2.23869

Abstract

Pelatihan penggunaan artificial intelligence (AI) pada MGMP geografi dapat mendukung inovasi pembelajaran yang adaptif. Kegiatan Pengabdian Kepada masyarakat dilakukan dengan sasaran MGMP Geografi yang berada di Kabupaten Malaka. Kegiatan pengabdian ini bertujuan untuk meningkatkan pemahaman dan keterampilan MGMP Geografi dalam memanfaatkan artificial intelligence (AI). Kondisi guru-guru mata pelajaran geografi di kabupaten Malaka masih mengalami berbagai kendala dalam proses pembelajaran. Terbatasnya akses informasi, rendahnya penggunaan teknologi serta terbatasnya pemahaman dan keterampilan dalam menggunakan AI. Kondisi tersebut menyebabkan pembelajaran cendrung konvensional dan tidak renposif terhadap kebutuhan peserta didik dan perkembangan teknologi. Kegiatan pengabdian dilaksanakan mencakup pengenalan dasar AI, pemanfaatan aplikasi AI dalam pendidikan dan praktik penerapan AI dalam pembelajaran geografi. Hasil kegiatan menunjukan antusias peserta, disertai dengan peningkatan pengetahuan dan keterampilan guru dalam penggunaan AI dengan luaran berupa modul dan media pembelajaran interaktif berbasis AI. Dengan demikian, guru Geografi di kabupaten Malaka diharapkan dapat menerapkan metode pembelajaran yang lebih interaktif dan sesuai dengan perkembangan teknologi dan karakteristik peserta didik. Pelatihan ini memberikan kontribusi yang positif dalam mendukung transformasi pembelajaran geografi yang lebih adaptif dan menghadirkan pembelajaran yang lebih berkualitas di kabupaten Malaka.
PEMETAAN PENYEBARAN STUNTING DENGAN SISTEM CLUSTERING SATSCAN DI KECAMATAN LARANTUKA KABUPATEN FLORES TIMUR Boy, Antonius; Rahmawati, Arfita; Tomi Pamungkas, Bella Theo
Jurnal Geografi Vol 21 No 2 (2025): JURNAL GEOGRAFI
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jgeo.v21i2.19552

Abstract

Stunting is claimed to be an issue in national development, one of the problems being that the grouping of stunting distribution areas in Larantuka District is still done manually. Therefore, one of the data clustering analyses that can be applied is using Cluster analysis and mapping. The purpose of this research is to understand the map of the distribution and clustering of stunting cases using the clustering analysis method with the SaTScan software in the Larantuka District, East Flores Regency, which is beneficial in facilitating related agencies in observing the points of stunting case distribution. This research uses a quantitative descriptive method with the aim of describing and objectively illustrating the distribution of stunting in Larantuka. The data collection methods used in this research are through literature studies related to the issues, direct interviews with the sources, and data collection on the number of stunting sufferers in Larantuka District. The analysis results indicate that 2 locations were detected in the Clustering satscan processing, namely cluster 1 with 42 cases and a P-value of 0.00000000000000001, which falls into the high category, while cluster 2 has 15 cases with a P-value of 0.0000000000000033, which falls into the low category. If the P-value is less than 0.05, it shows strong evidence that these clusters have high significance.
The Analysis of the Effect of Population Growth on Changes in Built-Up Area Density in Kupang City in 2020 and 2024 Using the Normalized Difference Built-Up Index (NDBI) Method Lastawan, Indah; Muhammad Husain, Hasan; Rahmawati, Arfita
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol. 22 No. 2 (2025): Volume 22 No 2, December 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v22i2.36308

Abstract

The dynamics of urban development in Kupang City are strongly influenced by population growth and the increasing need for urban space. This study aims to analyze the relationship between population growth and changes in built-up area density in 2020 and 2024 using the Normalized Difference Built-Up Index (NDBI) from Landsat 8 OLI/TIRS Level-2 imagery. This study uses a spatial quantitative approach with the integration of remote sensing techniques, geographic information systems (GIS), and statistical analysis. Population data were obtained from the Central Statistics Agency (BPS) of Kupang City, while spatial data were from the USGS with a path/row of 110/070 and a cloud-free acquisition rate of <10%. Image processing includes atmospheric correction (LaSRC), cloud masking, cropping of administrative boundaries, and calculation of the NDBI index. NDBI values are classified into three categories: low ( −0.2–0.0), medium (0.01–0.2), and high (>0.2) based on the reference of Dewi et al. (2023). Field validation was conducted at 20 sample points with an accuracy of 87%. The results show a significant increase in built-up areas in Maulafa, Alak, and Oebobo, which aligns with the population growth trend in these sub-districts. Pearson's correlation (r = 0.418) indicates a positive relationship between population growth and built-up density. This finding confirms the relevance of the NDBI as a tool for monitoring urbanization in medium-sized cities in Eastern Indonesia  
Kesiapan Bencana Terhadap Zonasi Bahaya Erupsi Gunung Api Ile Lewotolok Making, Valentina Wua; Sunimbar, Sunimbar; Rahmawati, Arfita
Jurnal Penelitian Pendidikan Geografi Vol 11 No 1 (2026)
Publisher : Jurusan Pendidikan Geografi FKIP Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36709/jppg.v11i1.733

Abstract

Settlement relocation is a crucial step in protecting communities from the risk of natural disasters, especially in areas prone to volcanic eruptions. The objectives of this study are to: 1) determine the condition of settlements before and after relocation in Lamawolo Village; and 2) determine the disaster mitigation in Lamawolo Village before and after relocation, Ile Ape Timur District, Lembata Regency. The research method used is a qualitative method where data is collected from primary and secondary data sources through observation, interviews, and documentation. Data analysis used is the interpolation technique and the Miles and Hubermen Interactive model (1992). The results of the study show that: 1) the Lamawolo Village settlement before relocation was in zone III of a high-level disaster-prone area, with a distance of 10 km from Ile Lewotolok Volcano, with a steep to very steep slope. Meanwhile, the new settlement in Tanah Merah after relocation is in a low-level danger zone with a distance of 17 km with a flat slope; 2) Disaster mitigation before relocation was carried out through evacuation based on the socialization of evacuation routes by the Lembata Regency Regional Disaster Management Agency. The impact of the Ile Lewotolok Volcano eruption affected 138 families, with 6 seriously injured, 2 slightly injured, and 2 fatalities. After relocation, mitigation focused on saving the remaining results of the disaster, such as agricultural and livestock. Based on the results of the evaluation and observation, the Tanah Merah location was declared safe for relocation and became a new place for the community.
Pemetaan Zona Potensi Air Tanah Untuk Mengatasi Kekeringan Di Desa Tuabatan Kecamatan Miomaffo Tengah Kabupaten Timor Tengah Utara Banafanu, Anjelika; Rahmawati, Arfita; Manalu, Tugma Jaya
Geosfera: Jurnal Penelitian Geografi Vol 4, No 2 (2025): Geosfera : Jurnal Penelitian Geografi
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/geojpg.v4i2.37727

Abstract

Tuabatan Village frequently experiences droughts, which impact clean water availability. This study aims to map groundwater potential zones as a solution to address this drought. The method used was quantitative analysis with a remote sensing approach, utilizing Sentinel-2 satellite imagery to calculate the Normalized Difference Water Index (NDWI). Primary data was obtained through field observations at 13 water sample points, while secondary data included satellite imagery and administrative maps. The analysis classified the study area into three groundwater potential zones based on the NDWI value range : high zone (0,13 to 0,37) covering an area of 124,11 hectares (27,87%), medium zone (0 to 0,13) covering an area of 214,11 hectares (48,09%), and low zone (-0,24 to 0) covering an area of 107 hectares (24,04%).
Co-Authors Alfair, Farhan Naufal Angin, Ignasius Suban Anwar, Yaskinul Bana, Trully Yessyca Banafanu, Anjelika Boesday, Louise Ferdinand Boru, Meldy Boy, Antonius Da Cunha, Maria Febrina Carola Dewi, Dian Kusuma Djasibani, Benyamin Daniel Djati, Arifa Aini. A Ersani, Erry Febriyanti Angelia Ginting Haryani, Poppy Hasan, Muhammad Husain Hure, Valentino Moat K. L. Saburi, Patrisia Yuliana Kanga, Elga Kurniaaji, Bayu L. Ndun, Livri Asoye Lastawan, Indah Lero, Tisa Yulia Mila Luhamiha, Linda Making, Valentina Wua MANALU, TUGMA JAYA Manek, Agustinus Hale Manek, Alfridus Mau Manu, Asnat Enggelina Mare, Yasinta Gekeng Martina Ayu Sejati Metboki, Stending Muhammad Husain, Hasan Nata, Andrinata Nenometa, Ira Semaya Pamungkas, Bella Theo Tomi Partini, Dwi Punuf, Defritus Aldrin Radhi Ariawan Saefatu, Jack F Samin, Mikael Sunimbar, Sunimbar Theo Tomi Pamungkas, Bella Tolok, Yohanes Megu Tomi Pamungkas, Bella Theo Udus, Godeliva Indryani Wangga, Dionisius Wulakada, Hamza Wulakada, Hamza H WULAKADA, HAMZA H. Wulakada, Hamza Huri