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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 AKADEMIKA Indonesian Journal of Science and Technology JPG (Jurnal Pendidikan Geografi) JMM (Jurnal Masyarakat Mandiri) JURNAL GEOGRAFI Geografi dan Pengajarannya RESEARCH AND DEVELOPMENT JOURNAL OF EDUCATION (RDJE) 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 Engagement: Jurnal Pengabdian Kepada Masyarakat International Journal of Geography, Social, and Multicultural Education (IJGSME) Jurnal Penelitian Pengelolaan Daerah Aliran Sungai (Journal of Watershed Management Research)
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 Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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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%).
PERKEMBANGAN ARTIFICIAL INTELLIGENCE (AI) DALAM PEMECAHAN MASALAH LINGKUNGAN DAN PENDIDIKAN: A SYSTEMATIC REVIEW Shaheda, Indri; Arif, Nursida; Budiyanto, Eko; Nofriansyah, Nofriansyah
Research and Development Journal of Education Vol 11, No 2 (2025)
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/rdje.v11i2.20613

Abstract

Penelitian ini menggunakan pendekatan deskriptif dengan metode bibliometrik untuk menganalisis tren publikasi terkait kecerdasan buatan (AI) dan permasalahan lingkungan selama periode 2009-2024. Proses pengumpulan data dilakukan melalui empat tahap utama, yaitu: (1) Identifikasi, (2) Penyaringan, (3) Kelayakan, dan (4) Inklusi. Dari total 905 artikel yang dianalisis menggunakan perangkat lunak VosViewer, data kemudian dianalisis dengan menggunakan bagan PICO yang terdiri dari: 1) Populasi, 2) Intervensi, 3) Perbandingan, dan 4) Hasil. Temuan penelitian ini mengungkapkan adanya peningkatan signifikan dalam jumlah publikasi mengenai AI dan isu lingkungan dalam 15 tahun terakhir, dengan dominasi kontribusi dari negara-negara di kawasan Asia, khususnya Tiongkok dan Iran. Bidang kajian yang paling banyak berkontribusi dalam topik ini meliputi ilmu komputer, teknik, dan ilmu lingkungan, yang menunjukkan bahwa penerapan AI dalam bidang ini bersifat multidisipliner. AI berperan penting dalam mitigasi bencana, konservasi sumber daya alam, dan pengelolaan keberlanjutan. Implikasi dari penelitian ini menunjukkan bahwa integrasi AI sangat penting dalam pendidikan, terutama dalam memperkuat kemampuan analisis spasial, pengambilan keputusan berbasis data, dan literasi teknologi terkait lingkungan.
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.
Empowering Youth for Sustainable Energy Consumption Nursida Arif; Maria Emerita Indraningrum Shrestha; Laifa Rahmawati; Ulfa Hidayati
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i1.13652

Abstract

This paper aims to assess the understanding and attitudes of youth towards energy conservation in Nepal and Indonesia. This research used a quantitative mixed methods approach, including questionnaires and focus group discussions with 101 Nepalese and Indonesian respondents. Qualitative data was obtained from the results of FGDs with 15 respondents from each country. The results show that the training has greatly impacted understanding related to energy conservation. Before being given the training, the level of awareness was 38%. After being given the training, it increased to 65%. The results of the FGD also show that this awareness program has opened the participants' eyes to become aware of energy saving and energy conservation, including water conservation. The study concludes that empowering young people to take action is critical to achieving sustainable energy consumption and highlights the importance of targeting consumer behavior to achieve sustainable energy savings and encourage sustainable consumption patterns. This study also provides insight into the potential of young people to encourage wise energy behavior throughout society and contribute to achieving sustainable energy consumption.
Analysis of Earthquake Information in Palu from Social Media X (Twitter) in the Perspective of Geography Learning Maulana, Akbar; Arif, Nursida; Putra, Exsa
JPG (Jurnal Pendidikan Geografi) Vol 13, No 1 (2026)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jpg.v13i1.24653

Abstract

The earthquake that struck Palu and surrounding areas on September 28, 2018 triggered extensive information dissemination on social media, particularly on platform X (formerly Twitter). However, the characteristics of disaster related information shared by users and its potential use in geography learning have received limited attention. This study aims to analyze the distribution and characteristics of information related to the Palu earthquake on Twitter and examine its potential as contextual material for geography education. This research employed qualitative content analysis supported by descriptive quantitative data. Tweets containing the keywords “Gempa Palu”, “#GempaPalu”, and “#PrayForPalu” posted between September 28 and October 31, 2018 were collected using the Twitter API and processed with Google Colab. After the data cleaning process, 117 relevant tweets were analyzed based on information type, temporal patterns, spatial references, and sentiment tendencies. The results show that reports on damage and victims were the most dominant content 41,03%, followed by official information and aid related activities. Temporal analysis indicates that tweet activity peaked on the first day after the disaster, while spatial references were mainly associated with Talise, Petobo, and Donggala. Sentiment analysis reveals that neutral posts accounted for 82,4% of the data, indicating that Twitter was primarily used to disseminate factual information during the disaster. These findings highlight the potential of social media data as contextual learning resources to support spatial analysis and disaster literacy in geography education.
Co-Authors Akhmad, Afandi Amika Wardana Anggara, Yonatan Yolius Arfiyanto, Rizky Arum Sekar Kedhaton Bambang Syaeful Hadi Betrix Teofa Perkasa Wibafied Billy Yachsie Budiyanto, Eko Danu Eko Agustinova * Dyah Respati Dyah Respati Suryo Sumunar Edi Widodo, Edi Etika cahyani Exsa Putra Fathoni, Muhammad Rizal Fatikhah Fauziah Hanum Fitriana, Kurnia Nur Hartono Hartono Hartono Hartono Hartono Hartono Hastuti Hendra Setyawan Husna, Dzakiroh Mardliyah Indraningrum Shrestha, Maria Emerita Kapisan, Grace Helena Amaranthois Kurniawati, Risa Amalia Kurniawati Laifa Rahmawati Marfu'ah, Istiyanti Nur Maria Emerita Indraningrum Shrestha Martiana, Aris Martono Martono Masitoh Munthe Maulana, Akbar Mukminan Mulabbi, Andrew Nasir Nayan Nayan, Nasir Nofriansyah, Nofriansyah Nugraheni, Dwi Rahayu Nur Lailly Tri Wulansari Nursa’ban, Muhammad Nurul Khotimah Projo Danoedoro Projo Danoedoro Puri, Lintang Waskita Putri, Rosita Nurindah Riga Aditya Ariyanto Rita Noviani, Rita Rosyid Shidiq Hidayatulloh Sari, Meily Shaheda, Indri Sholihah, Wilda Ismiatus Sugeng Riyadi Suranto Surjati, Endang Ubaidillah Ubaidillah Ulfa Hidayati Ulfa Hidayati Utma Rosseta Mukti Wahab, Norwaliza Abdul Widiastuti Agustina Eko Setyowati Yonatan Yolius Anggara Yusuf Susena Zanyc, Yuinta Diaz Aprilia