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SPATIAL DISTRIBUTION OF TOPONYMY IN KARST AREAS GIRITONTRO Wijayanti, Pipit; Widiyanti, Baiq Liana; Noviani, Rita; Nursaly, Baiq Rismarini
GeoEco Vol 10, No 1 (2024): GeoEco January 2024
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v10i1.81421

Abstract

Every object in the form of an earth element or man-made feature has a name with various origins. The origins of place names can be categorized based on geography, history, folklore/culture and language so that their spatial distribution can be known. This research explores the spatial distribution of the origins of naming earth elements and man-made features in the Giritontro District. The study begins by identifying the aspects of the earth's appearance and man-made features and then finding the meaning of naming each identified element. Data collection was carried out using in-depth interviews. Determining the sources used the snowball sampling method. The results of the research show that the toponymically identified objects are dominated by man-made features with a spatial distribution of 92% in Giritontro Village, 72% in Pucanganom Village, 52% in Tlogosari Village and 78% in Jatirejo Village. The remainder is dominated by the earth's elements of the Karst Area, such as caves, hills, and springs, with a spatial distribution of Bayemharjo Village at 63%, Ngargojarjo at 53% and Tlogoharjo Village at 66%. Meanwhile, the spatial distribution of toponymy in Giritontro District, whose origin is dominated by language, is known to be spread across Giritontro District with a percentage of 60%. Apart from that, the toponymy found was predominantly geographically dispersed across Pucanganom Village with a portion of 40%, Tlogosari Village at 60%, Jatirejo Village at 61%, Bayemharjo Village at 61%, Ngargoharjo Village at 57% and Tlogoharjo Village 46%. The geographical conditions referred to are those attached to the object or the object's proximity to geographical things (associations) which are dominant in the Karst Area. 
SPATIAL CRITERIA FOR INDUSTRIAL AREA: SUSTAINABLE DEVELOPMENT STRATEGY IN SANGIRAN CULTURAL HERITAGE ZONE, GONDANGREJO DISTRICT Noviani, Rita; Saputra, Aditya Eka
GeoEco Vol 10, No 1 (2024): GeoEco January 2024
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v10i1.77553

Abstract

Gondangrejo District is a suburb (peri urban) of Surakarta City with significant industrial growth in Karanganyar Regency. The driving factor of the development of the Gondangrejo District is the relocation of urban activities in Surakarta City. Gondangrejo District is an area of deconcentration of industrial activities because of its location directly adjacent to Surakarta City. A comprehensive site selection analysis is essential for industrial siting that supports sustainable builders. We select the optimal site for the industrial area by considering various criteria and inhibiting factors using GIS-based MCDA. Most suitable for industrial sites with GIS and AHP to build industries in The Gondangrejo District. This study aims to determine the most optimal industrial area by considering various appropriate criteria using multi-criteria decision analysis (MCDA) and geographic information system (GIS) methods. Based on the criteria used, namely proximity to roads, distance from rivers, distance from settlements, physiology, and population density with the same weight of 20%, a suitable location for the industrial area with a linear pattern or extending from east to west in the Gondangrejo District. Based on the same criteria with different weights from the results of the AHP analysis, suitable locations for industrial sites are Dayu Village, Rejosari Village, and Wonosari Village, which form a centering pattern. The study results found that the optimal industrial areas in Gondangrejo District are Dayu Village, Rejosari, and Wonosari. The results of the suitability of this industrial area can be used by decision-makers in the development planning of the Gondangrejo District.
GEOSPATIAL DEEP LEARNING: A CONTEXTUAL-CONSTRUCTIVE APPROACH TO GEOGRAPHY LEARNING TO EMPOWER SPATIAL THINKING SKILLS STUDENTS Prihadi, Singgih; Muryani, Chatarina; Sugiyanto, Sugiyanto; Noviani, Rita; Pratiwi, Imasti Dhani
GeoEco Vol 12, No 1 (2026): GeoEco January 2026
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v12i1.107180

Abstract

Geography education in the digital native era requires students to develop critical, creative, and innovative thinking through a spatial approach. Learning geography is not just about learning theory, but about learning deeply by optimising technology and geospatial data. This study aims to analyse the concepts and characteristics of Geospatial Deep Learning in geography education and to analyse the potential of Geospatial Deep Learning in empowering spatial thinking skills. This study employs a qualitative descriptive approach, utilising 10 informants of geography teachers and vice principals of senior high schools in Surakarta City. The sampling technique used is purposive sampling, as informants were selected based on the researcher's considerations. Data collection techniques include in-depth interviews and observations of teaching practices. The researcher employs an interactive data analysis model. The validity of the data used was triangulated by source and method. The research findings indicate that Geospatial Deep Learning in the context of high school geography education in Surakarta has already utilised geospatial data to enhance students' spatial thinking skills, though not yet to its full potential. Teachers have endeavoured to help students use data from Google Earth to strengthen their analysis. The potential of Geospatial Deep Learning in geography learning is significant, particularly in developing spatial thinking skills. Teachers noticed an improvement in spatial representation, which is evident in students' ability to visualise and manipulate spatial data in a more interesting, interactive, and informative way. 
MEDIA EFFECTIVENESS OF ANDROID-BASED E-GEA APPLICATION TO IMPROVE CRITICAL THINKING SKILLS Dewi, Clara Adhi Pratiwi Sukmana; Muryani, Chatarina; Sarwono, Sarwono; Noviani, Rita
GeoEco Vol 11, No 1 (2025): GeoEco January 2025
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v11i1.95270

Abstract

This study aims to test the effectiveness of Android-based E-GeA learning media in improving the critical thinking skills of grade X students of SMA Negeri Kebakkramat, Karanganyar. The E-GeA application for Electronic Geography Adventure is designed to support geography learning through interactive features, such as learning videos, materials, animations, and pre-test and posttest-based exams. The study used an experimental and purposive sampling technique on 36 students in grades X-5. The data were analyzed using normality, n-gain, and t-test tests. The results showed that the t-test results showed a significant difference between the pre-test 30 and post-test 86 scores, with 94% of students achieving KKM scores. This study proves that E-GeA learning media improves students' critical thinking skills. These findings provide recommendations for integrating technology in geography learning to support improving the quality of education and skills in the 21st century.
Co-Authors Adinda, Karina Sekar Ahmad Ahmad Ahmad, Naufal ajar, seno budhi Akbar, Masdihar Amperawati, Endang Dwi Andriyani, Yunika Anggraeni, Lilian Asqav, Rayyan Fida Asri, Seroja Puspa Astuti, Amelia Dwi Astuti, Lissa Dwi Azqiya, Aida Nur Baiq Liana Widiyanti Baiq Rismarini Nursaly, Baiq Rismarini Buana, Muhammad Arjunov Ramadhan Genta Budhi Ajar, Seno Cecilia, Danela Teguh Chatarina Muryani Damayeti, Nadia Demi Desi Kumalasari Dewi, Clara Adhi Pratiwi Sukmana Dhani Pratiwi, Imasti Djuminah Djuminah Djuminah, Djuminah Dwi Amperawati, Endang Effendi, Darwin Erawati, Herdina Dwi Erna Setiany Fadila, Alfia Fahreza, Zainal Ihza Farahdiba, Lentera Fatta, Firda Nur Fauziah, Yulanda Aini Nur Febriana, Wanda Azizah Wahyu Hafizh, Rifki Muhammad Handayani, Beta Amanda Putri Happy Fitria, Happy Hartoko, Sri Indraningrum Shrestha, Maria Emerita Iskandar, Usup Ismail, Hairul Nizam bin Kesturi, Pramnesti Gitarina Sekar Khoirunnissa, Yulia Anggita Khusniyatinna’im, Layinatu Koesuma, Sorja Kumaladewi, Lathifah Laili, Larissa Adwitya Lutfiana, Annida M, Rudianto Maghfiroh, Alfi Maharani, Jovita Shafa Mahdi, Imam Malinda, Charly Marfu'ah, Istiyanti Nur Marfuah, Istiyanti Nur Marwanti Maulana Yusuf Maymuna, Natasya Megasih, Adila Moh. Gamal Rindarjono, Moh. Gamal Mohammad Gamal Rindarjono, Mohammad Gamal Mubarok, Muhammad Riyadh Mulyawati, Widya Kartika Muqorobin, Muqorobin Murningtyas, Diana Muta'ali, Lutfi Muta'ali, Luthfi Muzaqi, Fathi Nanda Khoirunisa Nangim, Nida Khoirun Nasruddin Nasruddin Nugroho, Agung Nugroho, Albertus Erico Jerry Krisna Nur Fajriyah, Nur Nur Z.O, Anggun Nurhadi Nursaly, Baiq Risma Nursida Arif Pipit Wijayanti Prananto, Adi Pranata, Putri Febri Pratiwi, Imasti Dhani Puput Wijayanti Purnomo, Rochmat Aldy Putri, Meilia Dwi Krisanti Putri, Tiara Damayanti Putri, Zahra Annisa Putro, Satrio Adhi Santoso Puwa, Maharani Ladja Rahmawati Rahmawati, Rahmawati Ramadhan, A’an Nur Khisma Rindarjono, Gamal Rispantyo Rispantyo, Rispantyo Ristanto, Kurniawan Pujo Robbani, Shalahuddin Jundi Rochmatullah ., Rochmatullah Rudianto, M Rudianto, M. Rukmini Rukmini Saputra, Aditya Eka Saputro, Firman Ardi Sarah Rum Handayani Sari, Cinditya Arum Sarwono Sarwono Sarwono Setya Nugraha Setyanto, Ayu Dwi Shanti, Uri Ashe Singgih Prihadi Siti Arifah Siti Azizah Susilawati Siti Nurlaela Sri Mulyani Sugiyanto - Suprihati - Suryani, Amin Swastika, Tia Syafii, Syarif Tiara Rahmi, Ardia Tjahjono, Gentur Adi Ubaidillah Ubaidillah Utami, Siska Dwi Utomowati, Rahning Wajh, Chiquitana Balqis Ghorraul Widiastuti Agustina Eko Setyowati Wijayanti, Pipit Yasin Yusup Yuliastuti, Sri Utari Yuwita Ariessa Pravasanti, Yuwita Ariessa