Publisher: Universitas Muhammadiyah Surakarta   (Total: 33 journals)   [Sort alphabetically]

Showing 1 - 33 of 33 Journals sorted by number of followers
JRAMathEdu : J. of Research and Advances in Mathematics Education     Open Access   (Followers: 5)
J. of Community Services and Engagement     Open Access   (Followers: 2)
Pharmacon : Jurnal Farmasi Indonesia     Open Access  
Emitor : Jurnal Teknik Elektro     Open Access  
Media Mesin : Majalah Teknik Mesin     Open Access  
Sinektika : Jurnal Arsitektur     Open Access  
Iseedu : J. of Islamic Educational Thoughts and Practices     Open Access  
J. of Nutraceuticals and Herbal Medicine     Open Access  
Profetika Jurnal Studi Islam     Open Access  
Komuniti : Jurnal Komunikasi dan Teknologi Informasi     Open Access  
J. of Islamic Economic Laws     Open Access  
Indonesian J. on Learning and Advanced Education     Open Access  
Kajian Linguistik dan Sastra     Open Access  
Law and Justice     Open Access  
Suhuf     Open Access  
Jurnal Varidika     Open Access  
Benefit : Jurnal Manajemen dan Bisnis     Open Access  
Jurnal Kesehatan     Open Access  
Jurnal Jurisprudence     Open Access  
Jurnal Manajemen Dayasaing     Open Access  
Biomedika     Open Access  
Manajemen Pendidikan     Open Access  
Indigenous : Jurnal Ilmiah Psikologi     Open Access  
Riset Akuntansi dan Keuangan Indonesia     Open Access  
Forum Geografi     Open Access  
Tajdida : Jurnal Pemikiran dan Gerakan Muhammadiyah     Open Access  
Jurnal Pendidikan Ilmu Sosial     Open Access  
Warta LPM     Open Access  
Bioeksperimen : Jurnal Penelitian Biologi     Open Access  
Profesi Pendidikan Dasar     Open Access  
Khazanah Informatika     Open Access  
Jurnal Ekonomi Pembangunan : Kajian Masalah Ekonomi dan Pembangunan     Open Access  
Jurnal Ilmiah Teknik Industri     Open Access  
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  This is an Open Access Journal Open Access journal
ISSN (Print) 0852-0682 - ISSN (Online) 2460-3945
Published by Universitas Muhammadiyah Surakarta Homepage  [33 journals]
  • Sustainability Level of Heritage Cities in Malaysia

    • Authors: Yazid Saleh, Hanifah Mahat, Mohmadisa Hashim, Nasir Nayan, Samsudin Suhaily, Mohamad Khairul Anuar Ghazali
      Abstract: This article aims to measure the level of sustainability of heritage cities in Malaysia. A thousand residents of ten selected heritage cities throughout Malaysia were selected as the respondents based on the cluster sampling and simple random methods to complete the questionnaire. A Likert scale on questionnaires 1 to 5 was used to elicit feedback. Five sustainability constructs were used: economic, social, environmental, cultural heritage, and government/community role. The results showed that the items in each study construct achieved an acceptable reliability level, with a Cronbach Alpha value greater than 0.70, and also met the normality test requirements. Descriptive analyses of the frequencies, percentages, and average mean values were used to establish each construct's level of sustainability. The results of the study show that the cities that attracted high scores were Georgetown (3.94), Taiping (4.00), Melaka City (3.76), and Muar (3.71). Meanwhile, the cities that attracted moderate scores were Kuala Kubu Bharu (3.36), Jugra (3.23), Tampin (3.37), Kuala Lipis (3.28), Kota Bharu (3.65) and Kuching (3.51). The implications of this study can be used to indicate the actual situation of the level of sustainability of heritage cities and be a reference to carry out the process of improvement towards a more sustainable city by 2030.
      PubDate: 2022-07-31
      DOI: 10.23917/forgeo.v36i1.15287
      Issue No: Vol. 36, No. 1 (2022)
  • Searching for potential multi-hazard events during the last 1.5 million
           years of the Pleistocene epoch

    • Authors: Balazs Bradak, Christopher Gomez, Ákos Kereszturi, Thomas Stevens
      Abstract: Increasing attention has been paid to multi-hazards in environmental disaster studies produced during the last decade. Multi-hazard studies focus on the occurrence, interaction and effect of several natural hazards in the same region. Despite the increasing number of multi-hazard studies, few investigations have focused on global-scale multi-hazard events. With the aim of closing this gap, our study focuses on the identification of periods during the last 1.5 million years of the Pleistocene epoch, with the quasi-parallel appearance of natural hazards (e.g., asteroid impacts and large volcanic eruptions with a Volcanic Explosivity Index (VEI) of 8 and 7) amplifying their individual effects and thus causing long-term, global-scale changes. Of the seven identified potential multi-hazard events, three were considered as possible global-scale events with a longer term environmental (paleoclimatic) impact; dated to c.a., 1.4 Ma (marine isotope stage – MIS45), 1.0 Ma (MIS 27), and 100 ka (MIS 5c), respectively. Two additional periods (around 50 and 20 ka) were identified as being associated with more restricted scale multi-hazard events, which might cause a “Little Ice Age-like” climatic episode in the history of the Pleistocene Period. In addition, we present a hypothesis about the complex climatic response to a global-scale multi-hazard event consisting of a series of asteroid impacts and volcanic eruption linked to a geomagnetic polarity change, namely the Matuyama-Brunhes Boundary, which might be accompanied by global cooling and result in the final step of the Early Middle Pleistocene Transition.
      PubDate: 2022-07-31
      DOI: 10.23917/forgeo.v36i1.16093
      Issue No: Vol. 36, No. 1 (2022)
  • Simulated Mitigation of Tsunami Disasters in the Coastal Area of Purworejo
           Regency, Central Java, Indonesia

    • Authors: Sudaryatno Sudaryatno, Josaphat Tetuko Sri Sumantyo, Taufik Heri Purwanto, Inti Raidah Hidayat, Maulida Allya Nasikha
      Abstract: The coastal area of Purworejo Regency has the potential to be hit by a mega-tsunami disaster because it includes the southern coast of Java Island which is faced with seismic gaps that may produce large earthquakes in the future. This study aims to simulate tsunami disaster mitigation in the coastal area of Purworejo Regency in an effort to raise awareness and increase the community capacity for dealing with potential tsunamis so that the level of loss can be minimized. The tsunami risk analysis is based on the Disaster Crunch model, which is a combination of vulnerability analysis based on the weighted overlay quantitative method and tsunami hazard analysis based on tsunami inundation reduction modeling and cost distance analysis. The planning of the tsunami evacuation route is based on the network analysis method. The tsunami-risk area with a run-up scenario of three meters in the coastal area of Purworejo Regency 126,29 square kilometers or about 72,52% of the total coastal area. There are five tsunami evacuation plan points, with five main tsunami evacuation routes that lead directly to each of these points.
      PubDate: 2022-07-31
      DOI: 10.23917/forgeo.v36i1.16984
      Issue No: Vol. 36, No. 1 (2022)
  • The Values of Natural Disaster Mitigation in Discourse: The True Story of
           the Acehnese Tsunami Victims

    • Authors: Denni Iskandar, Tengku Silvana Sinar, Iskandar Abdul Samad, Ahmad Nubli Gadeng
      Abstract: This article aims to investigate the values of natural disaster mitigation among Acehnese Tsunami Victims. Natural disaster mitigation is an important issue for people who live in disaster-prone country such as Indonesia. Hermeneutical approach was employed in this study to reveal the values of disaster mitigation contained in the book about true story of the survivors of the Earthquake and Tsunami that occurred on December 26, 2004. The results of this research indicate that there are eighteen values of natural disaster mitigation, with details of 9 mitigation values about what to do when a tsunami occurs, 3 mitigation values about what should be avoided, and 6 mitigation values about preventive measures to reduce tsunami risk. Finally, this research reveals that these empirical facts can corroborate the theories and concepts of mitigation of the Earthquake and Tsunami disaster and also as reference to various educational context.
      PubDate: 2022-07-31
      DOI: 10.23917/forgeo.v35i2.14032
      Issue No: Vol. 36, No. 1 (2022)
  • Coastal Vulnerability Study on Potential Impact of Tsunami and Community
           Resilience in Pacitan Bay East Java

    • Authors: Zainul Hidayah, Nur Nazilatul Rohmah, Maulinna Kusumo Wardhani
      Abstract: Collisions or harsh shifting of earth plates accompanied by an earthquake in the ocean would pose a potential tsunami. The coastal area in Pacitan Bay East Java faces directly to the Indian Ocean and is prone to tsunami disasters. This study aims to determine the vulnerability level of the area and the resilience of coastal communities against tsunamis. The geographic Information System (GIS) method was used in this study. This study applied weighted overlay calculation with four components: elevation, slope, and distance from the beach and the river to measure the vulnerability level. Moreover, Coastal Community Resilience (CCR) method was applied to measure the predictive response of the communities. The results indicated that most of the area in Pacitan Bay (79,70%) was categorised into high to very high vulnerable against tsunamis. The CCR results showed the low index structure design and post-disaster recovery elements.
      PubDate: 2022-07-26
      DOI: 10.23917/forgeo.v36i1.17160
      Issue No: Vol. 36, No. 1 (2022)
  • Spatial Analysis of Mangrove Distribution Using Landsat 8 Oli in Badung
           Regency and Denpasar City, Bali Province, Indonesia

    • Authors: Putu Perdana Kusuma Wiguna, Ni Wayan Sri Sutari, Erik Febriarta, Afrinia Lisditya Permatasari, Ika Afianita Suherningtyas, Nur Ainun Harlin Jennie Pulungan, Tri Tanami Sukraini, Mutiara Gani
      Abstract: Bali is an island situated among the Indonesian archipelago with huge potential to host mangrove forests. Using remote sensing technology advances, satellite images, such as Landsat images, might be employed to analyse mangrove forest distribution and density. This paper presents an analysis of mangrove distribution in Badung Regency and Denpasar City, Bali, as a basis for the management and conservation of mangrove ecosystems. This study used Landsat 8 OLI images and a vegetation index to analyse the mangrove forest distribution and density in this area. It started by identifying mangrove forests using the RGB 564 band and continued to distinguish between mangrove and non-mangrove objects using unsupervised classification, before analysing mangrove density using the NDVI formula. The results show that the mangrove forest area in 2020 was 1,269.20 ha, with an accuracy rate of 83%. Mangroves were found on the deepest or most curved coastline of the Benoa Bay area, on enclosed waters. This distribution follows the river network in the lower reach, which has thick deposits and is uninfluenced by large currents and waves. Based on the vegetation index analysis results, the mangrove forest area observed mainly had a moderate density, with a total area of 510.85 ha (40%), followed by high density (413.15 ha/ 33%) and low density (340.51 ha/ 27%).
      PubDate: 2022-07-15
      DOI: 10.23917/forgeo.v36i1.14711
      Issue No: Vol. 36, No. 1 (2022)
  • Verification of Weather Predictions Using Voluntary Weather Observations
           Via WhatsApp and Google Forms During the Dry Season 2021

    • Authors: Giarno Giarno, Munawar Munawar, Ervan Ferdiansyah, Fendy Arifianto, Asri Pratiwi, Silvia Yulianti
      Abstract: The weather data that can be obtained through government institutions is very limited, whereas in order to increase the accuracy of weather predictions a homogeneous and dense distribution of data is needed. Therfore it is necessary to increase the data and the purpose of this research is to create a simple and effective way to encourage the number of weather observations in Indonesia through the STMKG Weather Care program. Forms that are made as easy as for respondents to understand, simple, and don't take the time. Developed using Google Form and distributed via the most popular social media today, namely WhatsApp. The test results showed that social media has the potential to be used to support voluntary weather data. The form made is sufficient so that the respondents make relatively few mistakes in terms of the main content of the form. Moreover, the mistakes that are often made by respondents include filling in ID, and typing sub-districts that require manual correction. Based on the results of voluntary observations spread in almost all provinces of Indonesia with the most incoming data coming from the provinces of Central Java and East Java. Based on the evaluation results of 4 months of testing, weather variations and their predictions can be identified with an accurate distribution, with an average accuracy of 0.79. Differences in methods used in verification may affect accuracy.
      PubDate: 2022-02-22
      DOI: 10.23917/forgeo.v36i1.16333
      Issue No: Vol. 36, No. 1 (2022)
  • Spatial and Seasonal Patterns of Flood Inundation in Lokoja, Kogi State,

    • Authors: Usman Umar Jimoh
      Abstract: The study examines spatial patterns of flood inundation in Lokoja, Kogi state, Nigeria. Maximum Likelihood Classifier algorithm of the supervised land use/cover classification technique was utilized. The results obtained from the analysis were used to estimate the magnitude and visualize the seasonal and spatial pattern of flood inundation event. Eight Landsat Images comprising of two sets for each year (dry and wet seasons) were acquired from the portal of United States Geological Survey (2018). The Landsat images were classified into land cover classes such as Built Up, Vegetation and Water Body. After completing the land cover classification, the area of each class was determined and converted to square kilometers and percentages for both wet and dry seasons. Based on the classification, the brown colour depicts the built-up areas, blue for water body, and green for vegetation. Finally, accuracy assessment was carried out using historical Google Earth images, informed knowledge of the area, and GPS coordinates. ArcMap 10.5 was used to produce land use/cover maps for the study period. The result overall, revealed the effect of flood inundation to be more intense on vegetation. 1.62%, 4.60%, 23.05% and 6.43% of vegetated land was lost in 1999, 2009, 2012 and 2018, respectively.  Therefore, efforts to improve resilience against variable weather, flood inundation and seasonal uncertainties should be encouraged.
      PubDate: 2022-02-12
      DOI: 10.23917/forgeo.v35i2.15968
      Issue No: Vol. 35, No. 2 (2022)
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Heriot-Watt University
Edinburgh, EH14 4AS, UK
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