Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi
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    Community Preparedness in Facing of Smog Disaster in Taraibangun Village, Mining District, Kampar Regency, Riau Province

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    Abstract This research aims to find out the level of community preparedness in Taraibangun Village in the face of smog disaster. This research was conducted in Taraibangun Village for 5 months from March-July 2020. The research method used is to use descriptive methods with survey approach, as well as data collection techniques by conducting observations and dissemination questionnaires to 100 respondents in 4 hamlets in Taraibangun Village. The result of this study is that in Taraibangun Village fell into the category almost ready with an overall score score of 62.45 for preparedness of hamlet 1 Taraibangun village entered the ready category with an overall score of 65.6, for the villagers 2 entered the category ready with an overall score of 65.9, for the community of hamlet 3 entered into the category of Almost Ready with an overall score of 57.45 and the last for hamlet 4 entered into the category of Almost Ready with an overall score of 60.21. The parameters of knowledge and attitude for all hamlets have good knowledge in understanding smog disasters, emergency response plans look low results, this is because many people are vulnerable to disasters but do not have a plan, the mobility of taraibangun village resources is also equally low because the mobility of resources in the community because the village government has never conducted preparedness training for the villagers. Keywords: Preparedness,Smog, Taraibangun VillageCommunity Preparedness in The Face of Smog Disaster in Taraibangun Village, Mining District, Kampar Regency, Riau Province Fikri Ramadhan Maiyeldi Putra1), Muzani 2), Cahyadi Setiawan 3) 1,2,3, FIS UNJ Geography Education Study Program Jl. Rawamangun Muka, Pulo Gadung, East Jakarta, Jakarta 13220, Indonesia Email: [email protected] Abstract This research aims to find out the level of community preparedness in Taraibangun Village in the face of smog disaster. This research was conducted in Taraibangun Village for 5 months from March-July 2020. The research method used is to use descriptive methods with survey approach, as well as data collection techniques by conducting observations and dissemination questionnaires to 100 respondents in 4 hamlets in Taraibangun Village. The result of this study is that in Taraibangun Village fell into the category almost ready with an overall score score of 62.45 for preparedness of hamlet 1 Taraibangun village entered the ready category with an overall score of 65.6, for the villagers 2 entered the category ready with an overall score of 65.9, for the community of hamlet 3 entered into the category of Almost Ready with an overall score of 57.45 and the last for hamlet 4 entered into the category of Almost Ready with an overall score of 60.21. The parameters of knowledge and attitude for all hamlets have good knowledge in understanding smog disasters, emergency response plans look low results, this is because many people are vulnerable to disasters but do not have a plan, the mobility of taraibangun village resources is also equally low because the mobility of resources in the community because the village government has never conducted preparedness training for the villagers. Keywords: Preparedness,Smog, Taraibangun Village         Introduction The coordinator of Riau Forest Rescue Work Network (JIKALAHARI) made ali gives an illustration of the smoke disaster that riau people are currently experiencing that this area is like living in a burning firewood stove, nasal congestion, dizziness, sore eyes, such is the life that riau people felt when the smog disaster hit. Community activities also experienced disturbances such as the availability of food staples thinning due to the market being unable to operate, community activity in work was also disrupted, and some communities prone to smog began to make evacuations to the province of North Sumatra (Tirto.id, 2019). Riau province is one of the provinces that is often affected by forest and land fires. Forest fires in Riau Province have been going on since 1997 until now entering 2019. Riau province which is rich in peatland is a supporting factor in the smog disaster. Ineligion from forest fires and peatlands occurs in the dry season, due to very low rainfall and high solar heat intensity. This condition generally occurs between June and October and sometimes occurs from May to November. Fire ineligion is higher if there are symptoms of El Nino (Wetlands, 1999). Taraibangun village is one of the villages affected by the smog disaster in Riau Province, tarai bangun villagers call Tarai Bangun village a quiet and isolated village, this is because Tarai Bangun was very lacking in infrastructure development and attention from local government. This makes the problem experienced by the surrounding community still quite a lot especially regarding the preparedness of the community in the face of disasters. Based on the description done by the author, the author felt the need for an analysis that explained the level of preparedness of the community in the face of the smog disaster in Taraibangun Village.   RESEARCH METHODOLOGY Time and Place of Research This research was conducted in Taraibangun Village in March-July 2020. Research methods The research method used in this study is a descriptive method using the survey approach. Data Collection Techniques 1) Primary Data   In this study to obtain primary data, it was done: Questionnaire   The questionnaire used in this research uses "closed polls, which present questions and answer options so that respondents are asked to choose one answer that corresponds to give a tick". Using scale sourced from LIPI-UNESCO/ISDR as follows:   YES 1 NOT 0   2) Secondary Data Taraibangun Village Profile   Data Analysis Techniques Use index value analysis, with techniques based on score calculation. The collected data is in the form of numbers in the tabulation results, and then explained in the order of information you want to know, and then processed and summed and adjusted to the preparedness index value assessment classification. As for the score obtained will be categorized based on the level of preparedness, here is a table of preparedness categorization based on LIPI-UNESCO/ISDR. Table 1. Level of Preparedness Index Value Category Symbol 80-100 Very Ready V 65-79 Ready Iv 55-64 Almost Ready Iii 40-54 Not Ready Ⅱ Less than 40 Not Ready Ⅰ Source : LIPI-UNESCO/ISDR, 2006 : 44 Data Results Table 2. The Results of Calculating the Value of Knowledge And Attitude Hamlet Name Score scoring Description Hamlet 1 93,4 Very Ready Hamlet 2 96,8 Very Ready Hamlet 3 94,2 Very Ready Hamlet 4 88,5 Very Ready   Based on the results of table number 2 on the calculation of the calculation of the value of knowledge parameters and attitude then obtained the result that for hamlet 1 gets a value of 93.4 and entered into a very ready cagoti, hamlet 2 gets a value of 96.8 and enters into the category very ready, hamlet 3 gets a value of 94.2 and enters the category very ready and hamlet 4 gets a value of 88.5 and enters the category very ready. Table 3. Assessment of Emergency Response Plan per Hamlet Hamlet Value Description Hamlet 1 50,5 Not Ready Hamlet 2 48 Not Ready Hamlet 3 39,25 Not Ready Hamlet 4 45,25 Not Ready   Based on the results of table number 3 concerning the calculation of the parameters of the emergency response plan perdusun then obtained the result that for hamlet 1 get a value of 50.5 and enter into the category is not ready, hamlet 2 gets a value of 48 and enters the category of less prepared, hamlet 3 gets a value of 39.25 and enters the category is not ready and hamlet 4 gets a value of 45.25 and enters the category less prepared. Table 3. Data Results of Resource Mobility Data of Each Hamlet Hamlet Value Description Hamlet 1 53,1 Not Ready Hamlet 2 53,1 Not Ready Hamlet 3 38,9 Not Ready Hamlet 4 46,9 Not Ready   Based on the results of table number 4 concerning the calculation of the calculation of the value of mobility parameters of perdusun resources then obtained the result that for hamlet 1 get a value of 53.1 and enter in the category of less prepared, hamlet 2 gets a value of 53.1 and enters into the category of less prepared, hamlet 3 gets a value of 38.9 and enters the category is not ready and hamlet 4 gets a value of 46.9 and enters the category less prepared. Discussion Table 27. Village Preparedness Hamlet Value Description Hamlet 1 65,6 Ready Hamlet 2 65,9 Ready Hamlet 3 57,45 Almost Ready Hamlet 4 60,21 Almost Ready   Based on the results of table number 27 on the preparedness of the perdusun in Taraibangun Village, the researchers will explain the analysis related to the results of preparedness in the perdusun area. Hamlet 1 Dusun 1 in Taraibangun Village scored 65.6, entered the category OF SIAP, and became the hamlet with the second largest value of the four hamlets in Taraibangun Village. Based on the results of tabulation explained that people who have a level of education and a good type of work, will better understand the importance of preparedness for smog disasters, for education levels in the highest to lowest order namely S1/S2, High School and Junior High School, for this type of work based on the tabulation results that researchers do sorted by the highest to lowest namely civil servants, private employees, self-employed and labor. the factors that make hamlet 1 become a hamlet that is ready in the face of smog disaster, namely because of the characteristics of respondents obtained by researchers at the education level and have a good type of work, for the education level of middle school educated respondents numbering 11, for high school number 8 and for s1/s2 which is the number of 6 respondents, for the type of work of respondents from hamlet 1 includes; 10 respondents worked as workers, 12 worked as self-employed, and 3 respondents worked as civil servants. The higher the number of respondents who have education and good work, it will impact the level of preparedness for smog disasters, for the parameters of knowledge and attitude in hamlet 1 get a score of 93.4 and enter the category is very ready, for the emergency response plan gets a score of 50.5 in the category of underprepared, on the mobility of resources in hamlet 1 get a score of 53.1 entered in the category of less prepared , this makes hamlet 1 a hamlet that is ready in the face of smog disaster. Hamlet 2 Dusun 2 scored 65.9 in the SIAP category, this score is the highest score of the overall result of the hamlet in Taraibangun Village, hamlet 2 has characteristics of respondents who are superior to the characteristics of other respondents, characteristics of respondents for the level of education namely 6 respondents who only graduated from junior high school, 10 respondents who graduated from high school, and 9 respondents with the level of education of S1/S2. For the type of work held by the community, namely 6 respondents working as workers, 8 respondents working as self-employed, 5 respondents working as private employees 4 respondents working as civil servants and 2 respondents not working. The characteristics of the respondent are better than hamlet 1, so there is a difference in the preparedness score. Hamlet 3 scored 57.45 and entered the category almost ready, this score is the smallest score of all hamlets in Taraibangun Village. The characteristic factor of the level of education and the type of work of respondents in hamlet 3 makes this hamlet has the least score compared to the scores in other hamlets, while the characteristics of the respondents are 3 that is; at the level of education, the number of respondents who finished junior high school was 12 people, high school education as many as 11 people, and for S1/S2 as many as 2 people. In this type of work is arranged 3 namely; 10 respondents worked as workers, 9 respondents worked as self-employed, 5 respondents worked as private employees and 1 respondent did not work. The following is table number 29 about the characteristics of respondents in hamlets 1,2 and 3. Hamlet 4 Hamlet 4 scored 60.21 and fell into the category almost ready. Hamlet 4 became the number 3 hamlet in the preparedness score in the face of smog disasters. The thing that caused hamlet 4 to be 3rd in preparedness to deal with kabu asap disaster due to the characteristics of the level of education and the type of work that exists in hamlet 4, as well as the characteristics of the respondents of hamlet 4 namely; based on the level of education of respondents who graduated from junior high school of 6 people, for high school graduation of 15 people and for S1/S2 tamatan numbering 4 people. Based on the type of work in hamlet 4 that works as a laborer number 7 respondents, who work as self-employed number 6 people, who work as private employees number 7 people, 3 respondents work as civil servants and 2 respondents do not work. Dusun 4 has the most respondents at the high school education level and for the type of work in hamlet 4 is quite balanced not dominated by one type of work, if noted with the characteristics of respondents in hamlet 1, it is seen that the characteristics of respondents in hamlet 4 are better because junior high school graduates in hamlet 4 are less compared to hamlet 1. However, when viewed in detail, that on the preparedness score in the hamlet 4 parameters of knowledge and attitude have the lowest score compared to other hamlets, and on the parameters of knowledge and attitude based on the level of education concluded that the score for high school graduation is smaller than the junior high school, as has been explained the characteristics of the respondents in hamlet 4 dominated by the level of high school education, this makes the score in hamlet 4 smaller than the score from hamlet 1, as well as plus respondents who finished S1/S2 in hamlet 1 more than hamlet 4. The result of the value of each parameter in hamlet 4 is; for knowledge and attitude parameters get a score of 88.5 in the category of highly prepared, for emergency response plans get a score of 45.25 and enter the category of underprepared, and on the parameters mobility resources have a score of 46.9 entered into the category not ready. Table 34. Taraibang village community preparedness in the face of smog disaster Village Value Description Taraibangun Village 62,45 Almost Ready   After seeing the description of the preparedness of taraibangun villagers in the face of smog disaster has been parsed based on the classifications, in closing this discussion, the preparedness of taraibangun villagers in the face of smog disaster that has a value of 63.45 and is classified as almost ready. Conclusion After the researchers conducted the data retrieval stage, data processing and data analysis, it was concluded that the preparedness of the community in the face of the smog disaster in Taraibangun Village fell into the category almost ready with an overall score of 62.45. As for the characteristics of respondents based on the level of education the highest score is obtained the level of education S1 /S2 with an overall score score of 77.7, for the characteristics of the community based on livelihoods with the highest score is Civil Servants with an overall score score of 79.36. For the preparedness of hamlet 1 Taraibangun village entered into the ready category with an overall value of 65.6, for the villagers 2 entered into the ready category with an overall value of 65.9, for the villagers 3 entered into the category of Almost Ready with an overall score of 57.45 and the last for hamlet 4 entered in the category almost ready with an overall value of 60.21. Advice There needs to be preparedness training for the community in the face of disasters, especially smog disasters. Researchers find it difficult to take respondents due to the openness of the surrounding community, so there needs to be further assistance related to the appeal from the head of the hamlet to RT/RW in encouraging the community. The village government should participate in providing a viable evacuation place for people prone to smog. There needs to be further attention from the Provincial Government to the District Government in addressing the preparedness of smog disasters in the surrounding communities, especially taraibangun villagers.     Bibliography Akmal, F. M. (2020). Preparedness of High School Communtas In The Face of Earthquake and Tsunami Disaster in Tsunami Prone Area in Lebak Regency, Banten Province. Bnpb. (2019). forest and land fires update September 21, 2019. Jakarta. Bnpb. (2020, 5 1). Definition of Disaster. Taken back from https://bnpb.go.id/definisi-bencana Herman, D. (2015). Geography of Natural Disasters. Jakarta: PT Raja Grafindo Persada. Heryana, A. (2020, January 1). Understanding and Types of Disasters. Plucked May 1, 2020, from Researchgate: https://www.researchgate.net/publication/338537206 Kodoati. (2006). Integrated Disaster Management. Jakarta: Yasfir watampone. LIPI-UNESCO/ISDR. (2006). Public Preparedness Study in Anticipation of Earthquake and Tsunami Disasters in Indonesia. Jakarta: Lipi Press. Suryana. (2010). Research Methodology. rumusrumus.com. (2019, 12 18). Plucked 07 2020, 17, from https://rumusrumus.com/metode-survey/#Pengertian_Metode_Survey Taraibangun, P. D. (2020). Kampar Regency: Taraibangun Village Government. Tirto.id. (2019). Causes and Consequences of Forest Fires in Kalimantan To Sumatra. Quoted May 15, 2020, from Tirto.id: https://tirto.id/penyebab-dan-akibat-kebakaran-hutan-di-kalimantan-hingga-sumatera-eic3 Trinirmalaningrum. (2016 ). Behind the record smoke tragedy of forest and land fires in 2015. Scale. LAW/NO.24/2007. (2007). DISASTER MANAGEMENT. Wetlands. (1999, November 2). Forest and Peatland Management Series. Quoted March 1, 2020, from Wetlands.or.id: www.wetlands.or.id Wibisono, I. T. (2005). Silvikular Rehabilitation and Engineering Guide in Peatland. Bogor: Wetlands International-IP. Yulianti, N. (2018). Cross-Border Fire and Haze. Bogor: IPB Press   &nbsp

    Land Use Predictions to the Response of Kediri Airport

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    Kediri Regency is a district with sufficient development with the existence of PSN for the construction of Kediri Airport. Kediri Airport was finally designated as PSN. This Rp 10 trillion airport is included in PSN in accordance with Presidential Regulation Number 56 of 2018. After Kediri Airport, Immediately Build the Kertosono-Tulungagung Toll Road. Land Acquisition for the Kediri Section is Completed in 2021. With this national strategic project, investment development in Kediri Regency will definitely increase. Based on the above, it is very necessary to predict future land use to be able to know the response of land use to the integrated airport and toll road project. The methods used in this research are remote sensing, GIS analysis, cellular automata analysis and descriptive analysis. Knowing the spatial response will be a very meaningful input for planners, especially in formulating plans to maximize the multiplier effect caused by the airport and toll roads on the surrounding space.Kabupaten Kabupaten Kediri adalah kabupaten dengan perkembangan cukup dengan adanya PSN pembangunan Bandara Kediri. Bandara Kediri akhirnya ditetapkan sebagai PSN. Bandara senilai Rp 10 triliun ini masuk PSN sesuai Peraturan Presiden Nomor 56 Tahun 2018. Setelah Bandara Kediri, Segera Bangun Tol Kertosono-Tulungagung Pembebasan Lahan Ruas Kediri Selesai 2021. Dengan adanya proyek strategis nasional tersebut maka perkembangan investasi di Kabupaten Kediri pasti akan mengalami peningkatan. Berdasarkan hal tersebut diatas maka sangat dibutuhkan prediksi penggunaan lahan ke depan untuk dapat mengetahui respon penggunaan lahan terhadap project bandara dan tol yang terintegrasi tersebut. Metode yang digunakan dalam penelitian ini adalah penginderaan jarak jauh, Analisis SIG, Analisis Celluler Automata dan Analisis Deskriptif. Dengan mengetahui respon ruang maka akan menjadi masukan yang sangat berarti bagi perencana terutama dalam merumuskan rencana guna memaksimalkan multiplier effect yang ditimbulkan bandara serta tol terhadap ruang di sekitarnya

    Sebaran Daerah Asal Pengunjung Virtual Tour Museum Nasional menggunakan Analisis Tetangga Terdekat

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    This research is useful for knowing the origin of visitors who visit the Museum Nasional through a virtual tour of the Museum Nasional. This is because virtual tours are a new breakthrough for tourism activities in Indonesia. The method used is a survey approach with a sampling technique in the form of accidental sampling through google forms distributed through social media, such as twitter, WhatsApp group, comments on the Museum Nasional YouTube channel, and Instagram starting on December 26, 2021 - January 6, 2022, namely as many as 42 people and the number of respondents obtained on July 25 – July 30, 2022, as many as 62 people with a total of 104 respondents who made virtual visits to the Museum Nasional. Results Based on what was obtained, most of the visitors came from the provinces of DKI Jakarta, West Java, Central Java, Banten, and East Java. To determine visitors who do virtual tours of the Museum Nasional, researchers use Nearest Neighbor Analysis contained in the ArcGIS application. In this case, the researchers digitized the distribution points of visitors (by district/city) who made virtual visits to the Museum Nasional which got 27 points from the districts/cities of origin of visitors (104 research respondents). Then, the results of the distribution category are dispersed distributed because the Nearest Neighbor Ratio is 32,094.Penelitian ini untuk mengetahui daerah asal pengunjung yang melakukan kunjungan ke Museum Nasional melalui virtual tour. Hal ini dikarenakan virtual tour merupakan terobosan baru bagi kegiatan wisata di Indonesia. Metode yang digunakan deskriptif pendekatan survei dengan teknik pengambilan sampel berupa accidental sampling melalui google form yang disebar melalui media sosial, seperti twitter, whatsapp group, komen kanal youtube Museum Nasional, dan instagram yang dimulai pada pada tanggal 26 Desember 2021 – 06 Januari 2022, yaitu sebanyak 42 orang dan pada tanggal 25 Juli – 30 Juli 2022, yaitu sebanyak 62 orang dengan total keseluruhan responden yang melakukan virtual tour ke Museum Nasional ialah 104 orang. Berdasarkan hasil yang didapatkan, Pengunjung yang melakukan virtual tour Museum Nasional, sebagian besar pengunjung berasal dari Provinsi DKI Jakarta, Jawa Barat, Jawa Tengah, Banten, dan Jawa Timur. Untuk menentukan sebaran pengunjung yang melakukan virtual tour Museum Nasional menggunakan Nearest Neighbor Analysis pada aplikasi ArcGIS dengan melakukan digitasi terhadap titik sebaran pengunjung (berdasarkan kabupaten/ kota) yang didapatkan sebanyak 27 titik dari kabupaten/ kota daerah asal pengunjung (104 responden penelitian) dengan hasil kategori sebaran dispersed atau seragam tersebar adalah 32,094

    Study of Flood Disaster Risk Delta in Bojonegoro Regency

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    A disaster is an unexpected and often sudden event that causes destruction, serious damage, and human suffering. According to the Law of the Republic of Indonesia Number 24 of 2007 concerning Disaster Management, disasters are caused by natural factors and/or non-natural and human factors so that disasters can result in loss of life, environmental damage, loss of property, and psychological impacts. Bojonegoro Regency which has the widest area crossed by the Bengawan Solo river and 24,753 hectares of its area is a watershed so that almost every year Bojonegoro Regency is flooded when the Bengawan Solo river overflows. Floods in Bojonegoro Regency almost occur every year. Where the flood that occurred in Bojonegoro Regency was caused by the overflow of the Bengawan Solo river. As much as 63% of the total population of Bojonegoro Regency is exposed or at risk of flooding in 2012 to 2020. This study is to determine the Delta (Δ) risk of flood-prone areas in Bojonegoro Regency based on trends in land use change with a multitemporal perspective in Bojonegoro Regency. This study uses the latest methods, especially in terms of spatial modeling, namely TIN and Raster databases. The first step is to predict the trend of land use in Bojonegoro Regency. Which is then continued to identify flood hazards and land use vulnerabilities. Flood disaster-prone areas each year are predicted based on the previous stages using the Analytic hierarchy process which then produces disaster risk in each prediction year. The last step is to calculate the amount of change or Delta (∆) of Flood Disaster Risk in Bojonegoro Regency. The results of this study are Delta (∆) Low Flood Disaster Risk: experienced a change of -1.62% or decreased by 49.66 Ha from 2020 to 2040. Delta (∆) Moderate Flood Disaster Risk: experienced a change of 2.85% or experienced an increase of 17.67 Ha from 2020 to 2040. Delta (∆) High Flood Risk: experienced a change of 23.96% or an increase of 31.99 Ha from 2020 to 2040.Bencana adalah peristiwa yang tidak terduga dan seringkali tiba-tiba yang menyebabkan kehancuran, kerusakan serius, dan penderitaan manusia. Menurut Undang-Undang Republik Indonesia Nomor 24 Tahun 2007 tentang Penanggulangan Bencana, bencana disebabkan oleh faktor alam dan/atau nonalam dan faktor manusia sehingga bencana dapat mengakibatkan hilangnya nyawa, kerusakan lingkungan, kerugian harta benda, dan kerugian. dampak psikologis. Kabupaten Bojonegoro yang memiliki wilayah terluas yang dilintasi sungai Bengawan Solo dan luas wilayahnya 24.753 hektar merupakan daerah aliran sungai sehingga hampir setiap tahun Kabupaten Bojonegoro digenangi air saat sungai Bengawan Solo meluap. Banjir di Kabupaten Bojonegoro hampir terjadi setiap tahun. Dimana banjir yang terjadi di Kabupaten Bojonegoro disebabkan oleh luapan sungai Bengawan Solo. Sebanyak 63% dari total penduduk Kabupaten Bojonegoro terkena atau berisiko banjir pada tahun 2012 hingga 2020. Penelitian ini untuk mengetahui risiko Delta (Δ) kawasan rawan banjir di Kabupaten Bojonegoro berdasarkan tren perubahan penggunaan lahan. dengan perspektif multitemporal di Kabupaten Bojonegoro. Penelitian ini menggunakan metode terbaru khususnya dalam hal pemodelan spasial yaitu database TIN dan Raster. Langkah pertama adalah memprediksi tren penggunaan lahan di Kabupaten Bojonegoro. Yang kemudian dilanjutkan dengan mengidentifikasi bahaya banjir dan kerawanan penggunaan lahan. Daerah rawan bencana banjir setiap tahunnya diprediksi berdasarkan tahapan sebelumnya menggunakan proses hirarki Analytic yang kemudian menghasilkan risiko bencana pada setiap tahun prediksi. Langkah terakhir adalah menghitung besarnya perubahan atau Delta () Risiko Bencana Banjir di Kabupaten Bojonegoro. Hasil dari penelitian ini adalah Delta (∆) Risiko Bencana Banjir Rendah: mengalami perubahan sebesar -1,62% atau menurun sebesar 49,66 Ha dari tahun 2020 hingga 2040. Delta (∆) Risiko Bencana Banjir Sedang: mengalami perubahan sebesar 2,85% atau mengalami peningkatan 17,67 Ha dari tahun 2020 hingga 2040. Delta (∆) Risiko Banjir Tinggi: mengalami perubahan sebesar 23,96% atau meningkat sebesar 31,99 Ha dari tahun 2020 hingga 2040

    Analisis Potensi Wisata Sungai Cipamingkis Desa Sukanegara Kecamatan Jonggol

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    Penelitian ini bertujuan untuk mendeskripsikan secara detail dan mendalam bagaimana potensi wisata sungai Cipamingkis di Desa Sukanegara Kecamatan Jonggol. Penelitian ini merupakan penelitian dengan menggunakan pendekatan kualitatif. Penelitian kualitatif yang digunakan adalah studi kasus. Penelitian studi kasus adalah suatu model yang menekankan pada pengembangan suatu sistem yang terbatas pada satu atau beberapa kasus rinci yang melibatkan berbagai sumber informasi dengan melakukan penggalian data secara mendalam. Hasil penelitian ini mengidentifikasi bahwa Kawasan Sungai Cipamingkis memberikan peluang yang tinggi untuk dikembangkan sebagai objek wisata. Kawasan Wisata Sungai Cipamingkis belum berkembang pesat. Saat ini termasuk dalam destinasi wisata alternatif milik Desa Sukanegara, Kecamatan Jonggol. Kawasan Wisata Sungai Cipamingkis memiliki potensi yang dapat menunjang pembangunan seperti adanya lingkungan alam yang baik dengan nilai-nilai yang dapat digali lebih dalam dari potensi kawasan. Pengembangan potensi kawasan wisata Sungai Cipamingkis perlu dikembangkan yaitu menciptakan daya tarik wisata berbasis karakteristik alam, menciptakan akses pengalaman petualangan yang nyaman dan menarik, memperkuat karakteristik vegetasi

    A Bibliometric Analysis: Remote Sensing Literature in Dimensions.ai Database

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    This research using bibliometric analysis aims to identify and visualize research developments in the field of remote sensing studies. The data is obtained from 2021-2022 through dimensions.ai with criteria for articles that have a digital object identifier (DOI). The data generated were 2645 articles which were then analyzed using the VosViewer device. The data analyzed includes the development of popular keywords, affiliations, countries and authors who do a lot of research in the field of remote sensing. The results of the study found 4 clusters with 216 items for keywords, 6 clusters and 36 items for authors, 15 clusters and 323 items for affiliation, 7 clusters and 61 items for country analysis which mostly conducted research on remote sensing.Penelitian ini menggunakan analisis bibliometrik bertujuan untuk mengidentifikasi dan memvisualisasikan perkembangan penelitian di bidang studi penginderaan jauh. Data diperoleh dari tahun 2021-2022 melalui dimensions.ai dengan kriteria artikel yang memiliki digital object identifier (DOI). Data yang dihasilkan sebanyak 2645 artikel yang kemudian dianalisis menggunakan perangkat VosViewer. Data yang dianalisis meliputi perkembangan kata kunci populer, afiliasi, negara dan penulis yang banyak melakukan penelitian di bidang penginderaan jauh. Hasil penelitian ditemukan 4 klaster dengan 216 item untuk kata kunci, 6 klaster dan 36 item untuk penulis, 15 klaster dan 323 item untuk afiliasi, 7 klaster dan 61 item untuk analisis negara yang sebagian besar melakukan penelitian penginderaan jauh

    Spatial Modelling for Regency & City Covid-19 Alertness Index After Eid Holiday in Central Java Province

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    The Covid-19 pandemic has spread throughout the world, including Indonesia. The increase in Covid-19 cases in Indonesia is influenced by long holidays. Eid holidays accompanied by violations of going home and also health protocols are suspected of causing the spread of Covid-19 after Eid. This study aims to determine the factors that significantly affect the Regency/City Covid-19 Alertness Index (IKK) in Central Java Province after the Eid holiday. The data analysis method used is spatial analysis using spatial regression. The results showed that the spatial error regression (SEM) was better than the other models. The regional classification variables, the percentage of doctors per 10,000 population, and the percentage of the poor, and the open unemployment rate have a significant effect on the IKK.Pandemi Covid-19 menyebar ke seluruh dunia termasuk Indonesia. Peningkatan kasus Covid-19 di Indonesia dipengaruhi oleh libur panjang. Libur lebaran yang disertai dengan pelanggaran mudik dan juga protokol kesehatan diduga menyebabkan penyebaran Covid-19 pasca lebaran. Penelitian ini bertujuan  untuk mengetahui faktor-faktor yang signifikan mempengaruhi Indeks Kewaspadaan Covid-19 Kabupaten (IKK) di Provinsi Jawa Tengah pasca libur lebaran. Metode analisis data yang digunakan adalah analisis spasial dengan menggunakan regresi spasial. Hasil penelitian menunjukkan regresi spasial error (SEM) lebih baik daripada model lainnya. Variabel klasifikasi daerah, persentase dokter per 10.000 penduduk, dan persentase penduduk miskin, dan tingkat pengangguran terbuka berpengaruh signifikan terhadap IKK.

    The Level of Social Vulnerability for Flood Disaster in the City of Tangerang, Banten Province.

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    This study aims to determine the level of social vulnerability to flood disaster in the city of Tangerang by using the SoVI (Social Vulnerability Index) method. This study uses 6 indicators to assess the level of social vulnerability for flood disasters in the sub district unit. Each sub district unit is calculated quantitatively using the PCA technique (Principal Component Analysis) and weighting is carried out on each indicator. Each weight describes the relationship between each indicator / variable and its level of vulnerability. The results of this study indicate that there are 5 categories of vulnerability levels. The very low category of social vulnerability is found in 4 sub district, namely: Pasar Baru, Nambo Jaya, Panunggangan Timur, and Sukarasa. The low category is found in 16 sub district including: Kunciran Jaya, Pakojan, and Kelapa Indah. There are moderate categories in 27 sub district including Nerogtog, Cipete, and Babakan. The high category is in 15 sub district including Gebang Raya, Kunciran, and Piang. There are very high categories in 7 sub district including: Kunciran Indah, Petir, and Cipondoh Indah

    Kendala Guru Dalam Pelaksanaan Penilaian Autentik pada Pembelajaran Geografi Di SMA Negeri Bandar Lampung

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    The purpose of this study was to (1) understand authentic reporting on geography learning at SMA Negeri Bandar Lampung. (2) examining what the teacher teaches in carrying out authentic geography subjects at SMA Negeri Bandar Lampung. This research method is to use a descriptive qualitative approach. Data collection using interviews and documentation. The population of this research is the geography teacher at SMA Negeri Bandar Lampung. The research sample was geography teachers from SMA N 9, SMA 14, SMA 15 in Bandar Lampung. The results of the teacher's research threw authentic instruments and outputs. But the instruments made are not very complete and not all indicators are in every aspect of value. In general, geographic errors.Tujuan Penelitian ini dalah untuk (1) mengetahui bagaimana penerapan penilaian autentik pada pembelajaran geografi di SMA Negeri Bandar Lampung. (2) mengetahui kendala apa saja yang dihadapi guru dalam  melaksanakan penilaian autentik pada mata pelajaran geografi di SMA Negeri Bandar Lampung. Metode penelitian ini adalah dengan menggunakan pendekatan kualitatif deskriptif. Pengumpulan data dengan menggunakan wawancara dan dokumentasi. Populasi penelitian ini adalah guru geografi SMA Negeri Bandar Lampung. Sample penelitian yaitu guru geografi dari SMA N 9, SMA 14, SMA 15 di Kota Bandar Lampung. Hasil penelitian yaitu guru telah membuat instrument dan melaksanakan penilaian autentik. Tetapi instrument yang dibuat tidak begitu lengkap dan tidak semua indicator dalam setiap aspek di nilai. Secara umum guru geografi mengalami kendala dalam melakukan penilaian autentik, kesulitan yang dihadapi yaitu pada penilaian aspek kognitif dan psikomotor

    Discovery Learning Model Assisted by Google Classroom and Zoom Efforts to Improve Critical Thinking Ability of Geography Education Students

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    The purpose of this study was to determine the effect of the Discovery Learning model assisted by Google Classroom and zoom in the Environmental Education course on the critical thinking skills of Khairun University Geography Education students. The research approach used was a quasi experimental design with a pretest-posttest control group experimental design. Data analysis with parametic statistics for hypothesis testing, namely covariance analysis (Ancova) using SPSS 22 for windows with a significance level of 0.05. The research was carried out in the Geography Education Study Program, Khairun University with student respondents who contracted the Environmental Education course. The results of this study indicate that there is a difference in the effect of learning between discovery learning and conventional models that both use google classroom and zoom on students' critical thinking skills with the Sig. 0.00.Tujuan dari penelitian ini untuk mengetahui pengaruh model Discovery Learning berbantuan Google Classroom dan zoom pada matakuliah Pendidikan Lingkungan Hidup terhadap kemampuan berpikir kritis mahasiswa Pendidikan Geografi Universitas Khairun. Pendekatan penelitian yang digunakan adalah quasi experiment design dengan rancangan experiment pretest-postest control group. Analisis data dengan statistik parametik untuk uji hipotesis yaitu analisis kovarian (Ancova) dengan menggunakan SPSS 22 for windows dengan taraf signifikansi 0.05. Penelitian dilaksanakan di Prodi Pendidikan Geografi, Universitas Khairun dengan responden mahasiswa yang mengontrak matakuliah Pendidikan Lingkungan Hidup. Hasil dari penelitian ini menunjukan adanya perbedaan pengaruh pembelajaran antara model discovery learning dan konvensional yang sama-sama menggunakan google classroom dan zoom terhadap kemampuan berpikir kritis mahasiswa dengan nilai Sig. 0,00

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    Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi
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