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All Journal Medikora: Jurnal Ilmiah Kesehatan Olahraga Jurnal Civics: Media Kajian Kewarganegaraan INFORMASI Geo Media: Majalah Ilmiah dan Informasi Kegeografian Jurnal Pembangunan Wilayah dan Kota Jurnal Ilmu Lingkungan Journal of Tropical Soils Geoplanning : Journal of Geomatics and Planning Majalah Geografi Indonesia AKADEMIKA Indonesian Journal of Science and Technology JMM (Jurnal Masyarakat Mandiri) JURNAL GEOGRAFI Geografi dan Pengajarannya Jurnal Samudra Geografi Integrated Science Education Journal Journal of Renewable Energy, Electrical, and Computer Engineering Journal of Learning Improvement and Lesson Study International Journal for Disaster and Development Interface International Journal of Disaster Management Indonesian Journal of Environment and Disaster Engagement: Jurnal Pengabdian Kepada Masyarakat International Journal of Geography, Social, and Multicultural Education (IJGSME)
Nursida Arif
Universitas Negeri Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Physics Public Health Social Sciences Other

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ANALISIS RESPON PUBLIK DAN PERMODELAN TOPIK MENGGUNAKAN LATENT DIRICHLET ALLOCATION METHOD (LDA) PADA BENCANA BANJIR BANDANG DI SUMATERA BARAT 2024 MELALUI TWITTER Anggara, Yonatan Yolius; Arif, Nursida
Indonesian Journal of Environment and Disaster Vol. 4 No. 1 (2025): Indonesian Journal of Environment and Disaster
Publisher : Disaster Research Center, Universitas Sebelas Maret, Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/h5qqjh18

Abstract

This study examines public sentiment during flash floods in West Sumatra by analyzing Twitter data using NLP through text2data.com. It employs the Latent Dirichlet Allocation (LDA) method for topic modeling to identify key discussion themes. The results reveal that 97.9% of expressed sentiments were positive, focusing on disaster impacts, situational conditions, causes of floods, and public responses to government actions in disaster management. The research highlights the role of social media in shaping public discourse during crises. Its novelty lies in combining LDA-based topic modeling with sentiment analysis specifically for flash flood-related discussions on Twitter in West Sumatra. This approach provides insights into how communities communicate and perceive natural disasters through digital platforms, offering potential applications for crisis communication strategies and policy improvements in disaster response. The findings demonstrate the predominance of constructive dialogue during environmental emergencies on social media.
The Effectiveness of Using Google Earth Interactive Media on Geography Learning Outcomes Riyadi, Sugeng; Arif, Nursida
Journal of Learning Improvement and Lesson Study Vol. 5 No. 1 (2025): JLILS (June Edition)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jlils.v5i1.153

Abstract

This study aims to examine the effectiveness of using Google Earth as an interactive medium in geography education, particularly on the topic of the location and physical features of the Earth’s surface. The research was conducted using the Classroom Action Research (CAR) method in two cycles, involving 36 students from class X.E at SMA Negeri 3 Cilacap. Each cycle included learning activities that integrated exploration of Google Earth features to enhance students’ spatial understanding. The results indicated a significant improvement in students’ learning outcomes, with the average score increasing from 64.38 in the pre-cycle to 78.28 in Cycle I, and further rising to 87.39 in Cycle II. Additionally, the percentage of students who met the Minimum Mastery Criteria (KKM) increased from 75% to 94.44%. The use of Google Earth was proven to not only enhance spatial visualization but also to increase student engagement and learning interest. This study confirms that digital geospatial media can serve as an effective learning tool to improve students’ conceptual understanding and spatial thinking skills, while also providing empirical contributions in the context of geography education in developing countries.
THE UNPREPAREDNESS OF FARMERS IN FACING FLOOD DISASTER RISKS AS AN IMPACT OF CLIMATE CHANGE: A CASE STUDY IN BALONG, PONOROGO Anggara, Yonatan Yolius; Sumunar, Dyah Respati Suryo; Khotimah, Nurul; Arif, Nursida
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 23 No 1 (2025): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v23n1.p183-196

Abstract

Climate change-induced floods have significantly impacted agriculture in several villages of Balong Subdistrict, Ponorogo Regency. This study aims to (1) assess flood impacts on agricultural systems, (2) analyze farmers' unpreparedness for climate change, and (3) evaluate government policy responses in supporting flood resilience. Using a qualitative case study approach, data was collected through interviews with 13 farmers, 1 village head, 1 agricultural office staff, and 1 irrigation officer, supplemented by field observations and document analysis. Findings reveal 156 hectares of crops destroyed, with farmers maintaining traditional practices despite climate variability. Most farmers perceived floods as natural events rather than climate change consequences, while government responses emphasized reactive measures over long-term adaptation strategies. The study provides practical recommendations for integrated flood adaptation combining infrastructure improvement, farmer education, and policy reform. These findings offer valuable insights for enhancing climate resilience in flood-prone agricultural areas across Indonesia. Keywords: Climate Change Adaptation, Ponorogo, Flood Risk Disaster Management
An Analyze of Urban Temperature Using Energy Balance Algorithm for Land (SEBAL) in Yogyakarta City Arif, Nursida; Nayan, Nasir
JOURNAL OF TROPICAL SOILS Vol. 28 No. 1: January 2023
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2023.v28i1.31-38

Abstract

This study examines the Land Surface Temperature (LST) using the Surface Energy Balance Algorithm for Land (SEBAL) model in Yogyakarta. SEBAL is relied upon for its accurate LST predictions because it takes into account the influence of vegetation and soil. This study identified LST in various land cover/land use (LULC) types extracted from Landsat 8 remote sensing images recorded in April 2019 (wet day) and June 2019 (dry day). The LULC classification results in the study area show that built-up land is the dominant land use, with 93.30% of the total area, and the rest is non-developed land (vegetation, open land, and water body). The average LST value on a wet day is 26.79 °C, while on a dry day, it is 30°C. The highest temperature occurs on the dry day, 35.17 °C, and the lowest on the wet day, which is 13.63°C. The correlation between LST and LULC shows the same pattern on the two different days, in which the value of vegetation temperature is lower than that of open and developed land. This research proves that vegetation influences a decrease in land surface temperature. Judging from the dominant land use being the built-up area in Yogyakarta, urban planners need to consider increasing green open spaces.
Spatial Analysis of Disaster Vulnerability in Wonolelo, Magelang Regency Arif, Nursida; Martiana, Aris; Hadi, Bambang Syaeful; Surjati, Endang; Widodo, Edi; Zanyc, Yuinta Diaz Aprilia; Akhmad, Afandi; Fathoni, Muhammad Rizal
JOURNAL OF TROPICAL SOILS Vol. 30 No. 1: January 2025
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2025.v30i1.37-43

Abstract

This research aims to assess the level of disaster vulnerability in the Wonolelo tourist village area using spatial analysis with an overlay method of several factors causing disaster vulnerability. The location of Wonolelo Village on the slopes of Mount Merapi with a rather steep to steep topography makes Wonolelo Village very vulnerable to landslides and the eruption of Mount Merapi. The research results show that Wonolelo Village has a high vulnerability to volcanic disasters (63.71%) and medium vulnerability to landslides (99.12%). The findings of this research can be used to inform disaster mitigation policies and strategies in Wonolelo Village and other vulnerable areas. 
PEMETAAN POTENSI KERAWANAN BENCANA LONGSOR MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DI KECAMATAN SOJOL Sholihah, Wilda Ismiatus; Arif, Nursida
Jurnal Samudra Geografi Vol 8 No 2 (2025)
Publisher : Program Studi Pendidikan Geografi, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/jsg.v8i2.12929

Abstract

Sojol Subdistrict, Donggala Regency, Central Sulawesi, is located on the Pacific Ring of Fire, dominated by steep hills, sandy loam soil, and variable rainfall, making it highly prone to landslides. This study maps landslide vulnerability potential using Geographic Information System (GIS) technology through overlay with five weighted scoring criteria: slope gradient (DEMNAS), land cover, rainfall (CHIRPS), soil type, and rock type. Geological data and land cover data were processed using ArcGIS 10.8. The results of the study show that the landslide vulnerability level of Sojol Sub-district is divided into three classes: low, moderate, and high. Villages with high landslide risk levels are Siboang, Bou, and Balukang, characterised by steep slopes (>70%), sparse dryland forest vegetation, and clay rock types that are highly susceptible to erosion during the rainy season. The landslide hazard map can be used as a basis for disaster mitigation, spatial planning, and raising public awareness of landslide risks.
Digital Literacy Dimensions in High School Education: From Operational Skills to Privacy Awareness Arif, Nursida; Nursa’ban, Muhammad; Mukminan, Mukminan; Sari, Meily
Integrated Science Education Journal Vol 6 No 3 (2025): September
Publisher : Cahaya Ilmu Cendekia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37251/isej.v6i3.2112

Abstract

Purpose of the study: This study aims to measure digital literacy, encompassing operational skills, content creation, information search, information evaluation, and privacy protection, providing insights for targeted educational interventions. Methodology: A quantitative survey using a 21-item structured questionnaire based on established digital literacy frameworks was conducted with 898 students through Google Forms. Content validity was confirmed by expert review, and reliability by Cronbach’s Alpha (>0.80). Data analysis employed SPSS 25 with t-test, ANOVA, and correlation. Main Findings: Students showed consistently high operational skills, content creation, and information evaluation (100% “Good”); information search scored Very Good 16.67% and Good 83.33%. Privacy protection varied (Very Good 11.11%, Good 66.67%, Fair 22.22%). Operational skills correlated moderately with privacy protection (R=0.437; R²=0.191), indicating that technical proficiency alone does not ensure secure online behavior. Novelty/Originality of this study: This study uniquely integrates privacy protection as a central dimension of digital literacy and analyzes its relationship with operational skills among high school students. It advances knowledge by linking technical ability to safe online behavior, offering evidence-based insights for curriculum design, teacher training, and policies promoting digital resilience.
Pendekatan Multi-Kriteria Penentuan Lokasi Potensial Pengembangan Kawasan Permukiman di Kabupaten Ponorogo Anggara, Yonatan Yolius; Arif, Nursida; Arfiyanto, Rizky
Jurnal Pembangunan Wilayah dan Kota Vol 21, No 3 (2025): JPWK Volume 21 No. 3 September 2025
Publisher : Universitas Diponegoro Publishing Group, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/pwk.v21i3.68973

Abstract

Pengelolaan pengembangan permukiman yang berkelanjutan merupakan tantangan utama di wilayah dengan dinamika pertumbuhan penduduk tinggi, termasuk Kabupaten Ponorogo. Penelitian ini bertujuan untuk mengidentifikasi faktor dominan dalam pemilihan lokasi permukiman serta memetakan tingkat kesesuaian lahan bagi pengembangan kawasan permukiman. Metode Analytical Hierarchy Process (AHP) digunakan untuk menentukan bobot relatif dari tujuh parameter, meliputi kemiringan lereng, penggunaan lahan, jenis tanah, jarak terhadap jalan utama, jarak terhadap fasilitas kesehatan, jarak terhadap pusat pendidikan, dan curah hujan. Analisis spasial berbasis Sistem Informasi Geografi (SIG) kemudian digunakan untuk mengklasifikasikan wilayah studi ke dalam empat kategori kesesuaian. Hasil menunjukkan bahwa kemiringan lereng merupakan faktor paling dominan (31,1%), menegaskan pentingnya stabilitas geofisik dalam perencanaan permukiman. Integrasi AHP–SIG menghasilkan empat kategori lokasi potensial: sangat potensial (193,42 km²; 13,6%), potensial (323,00 km²; 22,8%), kurang potensial (404,56 km²; 28,5%), dan tidak potensial (497,78 km²; 35,1%). Temuan ini menegaskan bahwa wilayah dengan aksesibilitas tinggi dan kondisi geofisik stabil lebih sesuai untuk pengembangan permukiman, sementara kawasan dengan risiko geofisik tinggi lebih tepat diarahkan untuk fungsi non-permukiman. Penelitian ini memberikan kontribusi metodologis melalui integrasi AHP dan SIG sebagai pendekatan komprehensif dalam mendukung pengambilan keputusan tata ruang berbasis data di tingkat regional.
Distribution and Analysis of Responses to Extreme Weather Phenomena through Twitter Kedhaton, Arum Sekar; Arif, Nursida
International Journal of Disaster Management Vol 6, No 2 (2023)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v6i2.32251

Abstract

The aim of this research is to map the distribution of extreme weather events occurring in Indonesia through Tweets, which are subsequently validated with actual conditions, and to analyze the public sentiment regarding extreme weather. The research utilizes the Social Network Analysis (SNA) method, obtained from the netlytic.org website. Data collection was conducted for five days, from March 23 to March 27, 2023. However, only 249 tweets, or approximately 31% of the total, were related to extreme weather, specifically stormy rain phenomena in their true sense. The stormy rain phenomena were identified to have occurred on March 23 and March 27, 2023. There was also a hailstorm phenomenon in Pekanbaru, Riau. The highest occurrence of extreme weather events was recorded in several regions of Indonesia, including Bandung, Surabaya, Malang, Jakarta, and Riau. Most Twitter users' responses were negative (49%), followed by neutral responses (45%), and positive responses (6%).
Evaluasi pola sebaran dan densitas permukiman berbasis sistem informasi geografis untuk mendukung pembangunan wilayah Kabupaten Bantul Arif, Nursida; Kapisan, Grace Helena Amaranthois; Respati, Dyah
Geomedia Majalah Ilmiah dan Informasi Kegeografian Vol. 23 No. 2 (2025): Geo Media : Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v23i2.86697

Abstract

Berbagai analisis dan evaluasi yang bereferensi spasial sangat penting untuk diimplementasikan dalam upaya mendukung keberhasilan pembangunan wilayah. Makalah ini menyajikan hasil evaluasi pola sebaran dan densitas permukiman berbasis sistem informasi geografis yang diimplementasikan dalam mendukung pembangunan wilayah di Kabupaten Bantul. Studi ini mengimplementasikan metode sistem informasi geografis dengan analisis Average Nearest Neighbour dan Kernell Density Estimation. Data diperoleh dari sumber sekunder yaitu Peta Rupabumi Indonesia dan citra yang dipublikasikan melalui Google Earth. Hasil studi menunjukkan bahwa pola sebaran permukiman di Kabupaten Bantul termasuk dalam kategori mengelompok. Selain itu, terdapat variasi tingkat kepadatan permukiman di Kabupaten Bantul yaitu tinggi, sedang, dan rendah. Pola mengelompok dan tingkat kepadatan yang tidak merata ini tidak lepas dari faktor penggunaan lahan, dimana Kabupaten Bantul masih banyak terdapat wilayah perdesaan dengan penggunaan lahan sawah. Secara ringkas, studi ini memberikan wawasan baru mengenai pola sebaran dan tingkat kepadatan permukiman di lahan datar yang lebih dipengaruhi oleh faktor penggunaan lahan.
Co-Authors Akhmad, Afandi Amalia Rahmawati Amika Wardana Anggara, Yonatan Yolius Arfiyanto, Rizky Bambang Syaeful Hadi Betrix Teofa Perkasa Wibafied Billy Yachsie Danu Eko Agustinova * Dyah Respati Dyah Respati Suryo Sumunar Edi Widodo, Edi Etika cahyani Fathoni, Muhammad Rizal Fatikhah Fauziah Hanum Fitriana, Kurnia Nur Hartono Hartono Hartono Hartono Hartono Hartono Hastuti Hendra Setyawan Hidayati, Ulfa Husna, Dzakiroh Mardliyah Indraningrum Shrestha, Maria Emerita Kapisan, Grace Helena Amaranthois Kedhaton, Arum Sekar Kurniawati, Risa Amalia Kurniawati Laifa Rahmawati Laifa Rahmawati, Laifa Marfu'ah, Istiyanti Nur Martiana, Aris Martono Martono Mukminan Mulabbi, Andrew Nasir Nayan Nayan, Nasir Nugraheni, Dwi Rahayu Nur Lailly Tri Wulansari Nursa’ban, Muhammad nurul khotimah Nurul Khotimah Projo Danoedoro Projo Danoedoro Puri, Lintang Waskita Putri, Rosita Nurindah Riga Aditya Ariyanto Rita Noviani, Rita Rosyid Shidiq Hidayatulloh Sari, Meily Sholihah, Wilda Ismiatus Shrestha, Maria Emerita Indraningrum Sugeng Riyadi Suranto Aw Surjati, Endang Ubaidillah Ubaidillah Ulfa Hidayati Utma Rosseta Mukti Wahab, Norwaliza Abdul Widiastuti Agustina Eko Setyowati Yonatan Yolius Anggara Yusuf Susena Zanyc, Yuinta Diaz Aprilia