JURNAL SPASIAL
Jurnal Spasial merupakan media publikasi ilmiah dengan skop jurnal adalah penelitian dan terapan ilmu geografi serta pendidikan geografi yang direview oleh dewan redaksi secara objektif dan diterbitkan dalam 4 kali setahun (Maret, Juni, September dan Desember). Fokus jurnal Spasial adalah untuk mempublikasikan hasil penelitian dosen, peneliti dan mahasiswa dibidang geografi dan pendidikan geografi. Issue jurnal Spasial bidang penelitian dan terapan ilmu geografi meliputi bidang geografi manusia, geografi fisik, aplikasi sistem informasi geografis dan penginderaan jauh. Bidang pendidikan meliputi kurikulum, pembelajaran geografi, media pembelajaran, metode pembelajaran, lingkungan belajar, perilaku pembelajaran dan evaluasi pembelajaran.
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115 Documents
<![CDATA[PEMANFAATAN CITRA LANDSAT 8 UNTUK IDENTIFIKASI KONSENTRASI TOTAL SUSPENDED SOLID (TSS) DI PERAIRAN TELUK LAMBEUSO ]]>
<![CDATA[Zuhrita, Anissa]]>
<![CDATA[ Jurnal Spasial Vol 6, No 1 (2019) ]]>
Publisher : <![CDATA[Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat ]]>
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DOI: 10.22202/js.v6i1.3557
<![CDATA[Teluk Lambeuso menjadi tempat bermuaranya Krueng Lambeuso dan Krueng Unga, aliran air yang masuk menuju teluk mengandung Total Suspensed Solid (TSS). Nilai TSS yang tinggi dapat menurunkan kualitas ekosistem perairan. Tujuan penelitian ini untuk mengetahui disribusi Total Suspended Solid (TSS) di Teluk Lambeuso dengan pengolahan citra digital menggunakan data temporal Landsat 8 yang menggunakan algoritma Parwati (2014): TSS = 3.3238*exp (34.099*Red Band), data yang digunakan hasil perekaman pada tahun 2015, 2017, 2019. Berdasarkan hasil analisis spasial diketahui bahwa distribusi konsentrasi TSS di Teluk Lambeuso tahun 2015, 2017, 2019 secara keseluruhan mengalami penurunan. Luasan Konsentrasi 0 -10 mg/l terbesar terjadi pada tahun 2019 sebesar 756,79 hektar. Luasan Konsentrasi 10-30 mg/l terbesar terjadi pada tahun 2017 sebesar 2178,81 hektar. Luasan Konsentrasi 30-50 mg/l terbesar terjadi pada tahun 2015 sebesar 105,99 hektar. Luasan Konsentrasi ≥ 50 mg/l terbesar terjadi pada tahun 2015 sebesar 56,33 hektar.]]>
<![CDATA[HUBUNGAN KATEGORI TUTUPAN LAHAN DAN SUHU PERMUKAAN MENGGUNAKAN LANDSAT 8 ]]>
<![CDATA[Fawzi, Nurul Ihsan]]>
<![CDATA[ Jurnal Spasial Vol 6, No 1 (2019) ]]>
Publisher : <![CDATA[Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat ]]>
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DOI: 10.22202/js.v6i1.3407
<![CDATA[The global average temperature on Earth has increased by 1 °C over the past 150 years due to climate change. Increasing earth surface temperature also contributes to climate change besides greenhouse gasses. The surface temperature estimation using satellite imagery is important for the analysis of global warming and climate change. The aim of this study is to determine the interaction of surface temperature on the object on the surface of the Earth which is represented by land cover using remote sensing. The data used is the Landsat 8 path/row 121/59 acquisition on July 15, 2018. Processing data to produce land cover information and surface temperature with Planck equation. The result is that each land cover gives a different surface temperature value depending on the thermal capacity and the emissivity of the object. The lowest surface temperature is given by montane forests with an average temperature of 28.4 °C. The highest surface temperature with an average value is owned by a residential object of 34.2°C. The findings in this study, each category of land cover or object has different thermal characteristics even in one type of object. For example, the vegetation area category, oil palm plantations has a higher temperature than primary and secondary forests, with an average temperature difference of up to 3.2 – 3.6 °C. In the technical acquisition of surface temperature using remote sensing, the main factor in the estimation of surface temperature is the presence of cirrus clouds. It is necessary for the initial analysis to assess the presence of cirrus clouds in the image used even though there is no cloud in the visual band. The global average temperature on Earth has increased by 1 °C over the past 150 years due to climate change. Increasing earth surface temperature also contributes to climate change besides greenhouse gasses. The surface temperature estimation using satellite imagery is important for the analysis of global warming and climate change. The aim of this study is to determine the interaction of surface temperature on the object on the surface of the Earth which is represented by land cover using remote sensing. The data used is the Landsat 8 path/row 121/59 acquisition on July 15, 2018. Processing data to produce land cover information and surface temperature with Planck equation. The result is that each land cover gives a different surface temperature value depending on the thermal capacity and the emissivity of the object. The lowest surface temperature is given by montane forests with an average temperature of 28.4 °C. The highest surface temperature with an average value is owned by a residential object of 34.2°C. The findings in this study, each category of land cover or object has different thermal characteristics even in one type of object. For example, the vegetation area category, oil palm plantations has a higher temperature than primary and secondary forests, with an average temperature difference of up to 3.2 – 3.6 °C. In the technical acquisition of surface temperature using remote sensing, the main factor in the estimation of surface temperature is the presence of cirrus clouds. It is necessary for the initial analysis to assess the presence of cirrus clouds in the image used even though there is no cloud in the visual band. ]]>
<![CDATA[DAMPAK PEMBANGUNAN JALUR JALAN LINTAS SELATAN (JJLS) TERHADAP PERUBAHAN PENGGUNAAN LAHAN DI DESA GADINGSARI, KECAMATAN SANDEN, KABUPATEN BANTUL, YOGYAKARTA ]]>
<![CDATA[Edy, Hendry]]>;
<![CDATA[Baiquni, M.]]>;
<![CDATA[Triatmodjo, Bambang]]>
<![CDATA[ Jurnal Spasial Vol 6, No 1 (2019) ]]>
Publisher : <![CDATA[Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat ]]>
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DOI: 10.22202/js.v6i1.3270
<![CDATA[Infrastructure Development Jalur Jalan Lintas Selatan (JJLS) is a National program that passes through 5 provinces in Java, which is one of the provinces passed through the Special Region of Yogyakarta. One of the villages passed by the JJLS development in the Special Province of Yogyakarta is Gadingsari Village, Sanden District, Bantul Regency. In this study, it will be seen how changes in land use in Gadingsari village before and after JJLS. The purpose of this study was to analyze changes in land use that occurred in Gadingsari Village. The analytical method used is a qualitative descriptive analysis method. Changes in land use were obtained from the Satellite Image Overlay Analysis in the span of time, namely before JJLS was built in 2013 and after JJLS was built in 2017 and strengthened with field surveys and in-depth interviews. From the results of the research, it was found that the land area for settlements in Gadingsari Village before and after the JJLS had changed. Before the existence of JJLS residential area was 78.90 hectar and it expanded to 104.93 hectar after the construction of JJLS, there was an increase of around 32.99% .]]>
<![CDATA[EKSTRAKSI RUANG KEMACETAN DI KOTA PADANG ]]>
<![CDATA[Rezki, Afrital]]>
<![CDATA[ Jurnal Spasial Vol 6, No 3 (2019) ]]>
Publisher : <![CDATA[Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat ]]>
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DOI: 10.22202/js.v6i3.4181
<![CDATA[This research has aimed to describe areas and roads that are prone to traffic jams, the direction of congestion, sources of congestion, and the pattern of time of occurrence of congestion that occurs along roads in Padang City. This type of research is descriptive. This research has been conducted in the city of Padang. The study population is the entire network prone to traffic jams in the city of Padang, samples have been taken with a purposive technique. When the study was conducted in the morning, afternoon and evening at the location of the prone road to the city of Padang. Data analysis techniques that have been done by observation, documentation. It was found that there are 3 road segments prone to traffic jams. Direction of traffic jam Prof. Dr. Hamka experiences traffic jams in the morning in the direction of Pasar Raya, then in the afternoon and in the afternoon it is jammed in the direction of Tabing, Jalan Muhammad Yamin in the direction of traffic jams in Pasar Raya and Jalan Raya Indarung in the direction of Pasar Raya. Road traffic source Prof. Dr. Hamka is caused by the activity of the shadow terminal and the meeting of three currents, on Jalan Muhammad Yamin caused by the market and on Jalan Indarung because of the shadow terminal. In the traffic jam Prof. Dr. Hamka morning and evening, Jalan Muhammad Yamin afternoon and evening and Jalan Raya Indarung morning and evening.]]>
<![CDATA[ESTIMASI TINGKAT KEKRITISAN LAHAN MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DI KECAMATAN TANJUNG SELOR, KABUPATEN BULUNGAN ]]>
<![CDATA[Utomo, Adymas Putro]]>;
<![CDATA[harviyanti, enny]]>;
<![CDATA[evelina, ria]]>
<![CDATA[ Jurnal Spasial Vol 6, No 2 (2019) ]]>
Publisher : <![CDATA[Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat ]]>
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DOI: 10.22202/js.v6i2.3788
<![CDATA[Based on data obtained from the Regional Environmental Status (SLHD) of North Kalimantan in 2016 noted, the area of critical land in the province of North Kalimantan reached 124,993,532 hectares (Ha). This amount accounts for around 0.53 percent of the total national degraded land which reaches 24 million hectares. The area of critical land in Bulungan Regency is 7,398.22 Ha, and has land with a very critical status of 232.68 Ha. This shows that critical land has occurred in almost all regions of Bulungan Regency. The purpose of this study was to determine the extent of the level of land criticality in the Tanjung Selor Subdistrict. The method used is spatial analysis of various parameters using geographic information systems. The results of mapping of critical land classes in Tanjung Selor Subdistrict obtained that Critical Land 33.96 Ha (0.06%), Critically Fair Land 4,747.49 Ha (8.87%), Critical Potential Land 39,860.11 Ha (74.45%) and Non Critical Land 8,898 Ha (16.62%)]]>
<![CDATA[MITIGASI MASYARAKAT TENTANG BENCANA BANJIR DI NAGARI AUR BEGALUNG TALAOK KAECAMATAN BAYANG KABUPATEN PESISIR SELATAN ]]>
<![CDATA[Suryani, Ade Irma]]>;
<![CDATA[Afryansih, Nila]]>
<![CDATA[ Jurnal Spasial Vol 6, No 3 (2019) ]]>
Publisher : <![CDATA[Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat ]]>
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DOI: 10.22202/js.v6i3.3907
<![CDATA[This study aims at the Community Knowledge of Bajir disaster mitigation and community preparedness to Reduce the Risk of Flood Disaster at Nagari Aur Begalung Talaok, Bayang Subdistrict, southern coastal district. Descriptive research method The location of the study was at Nagari Aur Begalung Talaok, Bayang Subdistrict, southern coastal district. Population in the study The sample head of the family used an area probability sample and sample respondents based on the "proportional random sampling" method with a proportion of 20% of the total number of heads of family in Jorong, so that 23 respondents were obtained. Data analysis technique Using percentage formula and scale scales. The results of the study, First the public's knowledge of flood disasters. It can be concluded that the community's knowledge of flood disasters in the Bayang Nagari Aur Begalung Talaok District is quite understandable with a percentage of 43.51%, which means that based on the results of the community research, the understanding and knowledge of floods and damage are caused by flooding. Community preparedness about flood mitigation, It can be concluded that community preparedness to reduce the risk of floods in the Bayang Subdistrict Nagari Aur Begalung Talaok includes a notable percentage of 63.15%, which means that from the results of research the community does not understand preparedness to reduce risks, losses and damage caused with the flood disaster. Keyword: Flood Disaster. mitigation ]]>
<![CDATA[ANALISIS OZON BERBASIS SATELIT AIRS NASA GIOVANNI SYSTEM ]]>
<![CDATA[Mariati, Heny]]>;
<![CDATA[Suryani, Novelisa]]>;
<![CDATA[Afandi, Roky]]>
<![CDATA[ Jurnal Spasial Vol 6, No 2 (2019) ]]>
Publisher : <![CDATA[Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat ]]>
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DOI: 10.22202/js.v6i2.3855
<![CDATA[This study aims to study and analyze changes in ozone concentration and its influence with the phenomenon of forest fires in the Sumtra region and see the distribution of ozone concentrations according to latitude zones of the Sumatra region. With the observation method using AIRS satellite data and utilizing the Giovvani System web tool to calculate ozone concentrations every month from January-September. the results showed a significant decrease in stratospheric ozone concentrations in September following the increase in CO during severe forest fires. Abnormal circumstances occur where ozone concentrations decrease significantly in August and September, occurring with a concentration range of 19 to 26 DU from the highest average in May. The effect of forest and land fires is also condemned by the distribution of CO in September which increased by 119 ppbv compared to January to July CO concentrations ranged from 75 to 85 ppbv. A quite different pattern occurred in August and September where ozone concentrations decreased in zone 2 LS-2 LU which is a zone of forest fires in September.]]>
<![CDATA[Beach Erosion Impact In Manggopoh Palak Gadang Ulakan Village ]]>
<![CDATA[Suryani, Novelisa]]>;
<![CDATA[Mariati, Heny]]>;
<![CDATA[Roberto, Roberto]]>;
<![CDATA[Fajri, Muhammad]]>
<![CDATA[ Jurnal Spasial Vol 6, No 3 (2019) ]]>
Publisher : <![CDATA[Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat ]]>
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DOI: 10.22202/js.v6i3.3860
<![CDATA[Beach erosion is an unavoidable phenomenon in coastal areas. The wind, climate change, tides and sea level rised are the triggering factors for beach erosion. Some research also shows that beach erosion influenced by the physical structure, land use changing and morphology of the beach. Ulakan Tapakis District which is geographically bordered directly with the Indian Ocean is exposed to the direct impact of beach erosion, one of the worst areas, namely Nagari Manggopoh Palak Gadang Ulakan. The annual phenomenon causes social and economic losses, also physical buildings around the coast. This study aims to examine the physical and social economic impact of beach erosion. This research was conducted by surveys and in-depth interviews with stakeholders and the data were processed by descriptive methods. The results showed that the physical impact of beach erosion, namely damaging settlement, fish auction places, towers and roads around the beach. In addition, it also causes wells shallowing and sea water intrusion. The socio-economic impact that is decreased the income of citizens up to 50% and shifting the types of livelihoods, especially in trading.]]>
<![CDATA[ANALISIS KESIAPSIAGAAN MASYARAKAT PADA WILAYAH RAWAN BANJIR LAHAR DINGIN GUNUNG GAMALAMA TERNATE (STUDI KASUS DI KELURAHAN DUFA-DUFA TERNATE) ]]>
<![CDATA[Nasarudin, Nasarudin]]>;
<![CDATA[Suwo, Rahedin]]>;
<![CDATA[Kasnar, Suliamin]]>
<![CDATA[ Jurnal Spasial Vol 6, No 2 (2019) ]]>
Publisher : <![CDATA[Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat ]]>
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DOI: 10.22202/js.v6i2.3735
<![CDATA[This study analyzed the preparedness of the community of Dufa-Dufa Ternate in dealing with cold lava floods in the aspects of knowledge related to lava flood disasters, attitudes have been alert to disasters, and attitudes in dealing with disasters. Data collection techniques in this study used Likert scale questionnaire and in-depth interview technique. Data analysis technique in this research used descriptive analysis technique to saw the tendency of each variable. The results showed that people who had knowledge related to the lava flood disaster were 94.29% and those who did not had knowledge related to the lava flood disaster were 5.71%. In the aspect of public awareness attitude towards the lava flood disaster, the attitude of the people who always prepare plans before a disaster reaches 37.14%. In the category of frequent attitude of vigilance attained 50.00%. The attitude of the community in dealing with the cold lava flood disaster in an effort to improve their ability to attend disaster training was 37.14% strongly agreed, while the percentage of agreed was 50.00%. People who were hesitant about their ability to handle danger 8.57%. Increasing the capacity and knowledge of the community against disasters, the government needed to conduct training, outreach, and relocation for people who lived on the banks of the Tugurara river.]]>
<![CDATA[ANALISA POLA PERGERAKAN SESAR SUMATRA BERDASARKAN PENGAMATAN DATA GPS 2016-2017 GUNA MENGETAHUI AKTIVITAS SEISMIK ]]>
<![CDATA[Arini, Dwi]]>;
<![CDATA[Meilano, Irwan]]>;
<![CDATA[Tanuwijaya, Zamzam Akhmad Jamaluddin]]>
<![CDATA[ Jurnal Spasial Vol 6, No 3 (2019) ]]>
Publisher : <![CDATA[Program Studi Pendidikan Geografi STKIP PGRI Sumatera Barat ]]>
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DOI: 10.22202/js.v6i3.3993
<![CDATA[Sumatran fault is one of active seismogenic zones on the earth that required a seismic activity movement monitoring for Sumatra Fault System (SSS) observation patterns. GPS observation study was carried out to fit a monitor along the fault that patterns movement can be detected from time series calculation shows by coordinates displacement for outer and volcanic arc ridge areas. Two types of observation stations used, namely Sumatran GPS Array (SuGAr) and Continuously Operating Reference Station of Geospatial Information Agency (CGPS BIG). seventeen (17) observation SuGAr data stations produce velocity vectors that vary from 14.5 mm / year to 48.7 mm / year in the east to west direction and -9.2 mm / year to 37.4 mm / year in the North South direction. On BIG CGPS stations using 4 observation stations with the calculation of velocity vector ranging from 25.6 mm / year to 31.7 mm / year in the east to west direction and 5.2 mm / year to 15.4 mm / year in the direction North South. Movement pattern also indicated that the area has a rotation movement and locking. Sesar Sumatra merupakan zona aktif seismogenik di bumi yang membutuhkan monitoring pergerakan aktivitas seismik untuk pengamatan pola pergerakan Sumatra Fault System (SSS). Studi pengamatan GPS merupakan metode monitoring yang sangat cocok untuk diterapkan di sepanjang sesar tersebut sehingga pola pergerakan dapat dideteksi dari kalkulasi deret waktu yang ditunjukkan oleh pergeseran koordinat dari pola pergerakan daerah sesar seperti daerah outer arc ridge dan volcanic arc ridge. Dua jenis data pengamatan digunakan yaitu data Sumatran GPS Array (SuGAr) dan Continuously Operating Reference Station Badan Informasi Geospasial (CORS BIG). 17 data pengamatan dari stasiun SuGAr menghasilkan vektor kecepatan yang bervariasi antara 14,5 mm/tahun hingga 48,7 mm/tahun pada arah timur ke barat dan -9,2 mm/tahun hingga 37,4 mm/tahun pada arah utara selatan. Stasiun CORS BIG dengan 4 titik pengamatan menghasilkan perhitungan vektor kecepatan antara 25,6 mm/tahun hingga 31,7 mm/tahun pada arah timur ke barat dengan 5,2 mm/tahun hingga 15,4 mm/tahun pada arah utara selatan. Pola pergerakan juga menunjukan adanya pergerakan rotasi dan locking.]]>
