Articles
<![CDATA[ANALISIS PERUBAHAN LUAS TANAH ULAYAT DI NAGARI SUPAYANG KECAMATAN PAYUNG SEKAKI KABUPATEN SOLOK ]]>
<![CDATA[Yulia permata sari]]>;
<![CDATA[Yudi Antomi]]>
<![CDATA[ JURNAL BUANA Vol 5 No 1 (2021) ]]>
Publisher : <![CDATA[JURUSAN GEOGRAFI FIS UNP ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24036/student.v5i1.1408
<![CDATA[Penelitian ini bertujuan untuk mengetahui : (1) Posisi tanah ulayat di nagari Supayang Kecamatan Payung Sekaki Kabupaten Solok. (2) Membuat peta perubahan luas tanah ulayat yang sudah terjual dan belum terjual. (3) Faktor-faktor peyebab terjualnya tanah ulayat. Jenis penelitian ini digolongkan menjadi penelitian deskriptif dengan pendekatan kualitatif. Penelitian ini menggunakan metode wawancara untuk menggali informasi mengenai posisi tanah ulayat nagari, batas-batas tanah ulayat nagari yang terjual dan faktor-faktor penyebab terjualnya tanah ulayat di nagari Supayang Kecamatan Payung Sekaki Kabupaten Solok. Hasil penelitian yang didapatkan yaitu : (1) Posisi tanah ulayat di nagari Supayang Kecamatan Payung Sekaki Kabupaten Solok adalah sama halnya dengan posisi tanah ulayat diseluruh wilayah Minangkabau yakni dimiliki bersama oleh anggota kaum atau suku.tanah ulayat tidak boleh diperjualbelikan, hanya boleh digadai apabila suku atau kaum tersebut sedang berada dalam kondisi : a.maiak tabujua diateh rumah, b. rumah gadang katirisan, c. gadih rando indak balaki, dan d. mambangkik batang tarandam. (2) Batas tanah ulayat yang terjual adalah tanah milik Dt. Lompong sati dari suku Caniagodi arah utara seluas 142 Ha dan Dt. Rangsang baduri dari suku Malayu disebelah selatan dengan luas 232 Ha. (3) Faktor-faktor penyebab terjualnya tanah ulayat adalah : a. adanya kesempatan akibat dorongan ekonomi, b. faktor lokasi, dan c. faktor pendidikan masyarakat.]]>
<![CDATA[ANALISIS INDUSTRI KERAJINAN TENUN SONGKET DI KOTA SAWAHLUNTO SUMATERA BARAT ]]>
<![CDATA[Fissy Novita Sari]]>;
<![CDATA[Ahyuni ahyuni]]>;
<![CDATA[Yudi Antomi]]>
<![CDATA[ JURNAL BUANA Vol 5 No 1 (2021) ]]>
Publisher : <![CDATA[JURUSAN GEOGRAFI FIS UNP ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24036/student.v5i1.1449
<![CDATA[ABSTRAK Tujuan dari penelitian ini adalah (1) Memetaakan pola persebaran industri kerajinan tenun songket di Kota Sawahlunto, (2) Mendeskripsikan tentang profil industri kerajinan tenun songket dilihat dari skala ekonomi di Kota Sawahlunto. Metode penelitiannya adalah deskriptif kuantitatif dengan objek penelitian seluruh industri kerajinan tenun songket di Kota Sawahlunto tahun 2017. Bahan yang digunakan adalah peta administrasi dan data mengenai industri kerajinan tenun songket di Kota Sawahlunto. Jenis data yang digunakan adalah data primer yang didapatkan dari lapangan serta data sekunder dari dinas perindustrian Kota Sawahlunto. Teknik analisa data yang dipakai adalah dengan teknik rendom sampling, regresi linear bereganda- Cobb Douglass, dan analisis tetangga terdekat. Hasil penelitian itu memperhatikan: (1) Pola persebaran industri kerajina tenun songket di Kota Sawahlunto memiliki pola mengelompok atau clustered (2) Profil industri kerajinan tenun di Kota Sawahlunto dilihat berdasarkan skala ekonomi berada pada Decreasing Returns to Scale – DRS sedangkan sifat produksinya adalah bersifat padat modal.]]>
<![CDATA[CHARACTERISTICS OF TECTONIC EARTHQUAKE SUMATERA ]]>
<![CDATA[Yudi Antomi]]>
<![CDATA[ International Remote Sensing Applied Journal Vol 1 No 1 (2020): international remote sensing application journal ]]>
Publisher : <![CDATA[Remote Sensing Technology Study Program ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (1112.472 KB)
|
DOI: 10.24036/irsaj.v1i1.4
<![CDATA[This study aims to answer the question: is there a correlation between earthquake events due to Benioff zone activity with earthquake events due to shallow local cesarean activity? Using a spatial statistical local moran, krigging, and kernel density approach to the distribution of 1973 – 2018 earthquake occurrences in the central region of Sumatra, it was found that there was a connection between earthquake events due to Benioff zone activity and earthquake events due to shallow local cesarean activity. The earthquake activity between the Mentawai Islands and the coast of West Sumatera - Bengkulu was more caused by local cesarean activity with superficial hypocenter.]]>
<![CDATA[DETERMINATION OF CHANGES IN FIELD AREA WITH FOOD-SUPPORTING CAPACITY USING REMOTE SENSING IN AGAM ]]>
<![CDATA[Syukra Alhamda]]>;
<![CDATA[Yudi Antomi]]>
<![CDATA[ International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022) ]]>
Publisher : <![CDATA[Remote Sensing Technology Study Program ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (614.67 KB)
|
DOI: 10.24036/irsaj.v3i1.33
<![CDATA[West Sumatra Province is one of the provinces in Indonesia which is the best rice producer in Indonesia, but a large number of conversions to paddy fields has resulted in food threats for the local population, data from the Ministry of Agriculture states that the decline in paddy fields in West Sumatra in 2008 was 228,176 ha. , in 2009 amounted to 229,693 ha, then in 2010 amounted to 231,463 ha, and in 2011 amounted to 229,368 ha, then decreased in 2012 amounted to 224,182 ha and in the area of West Sumatra Cities that experienced land conversion, namely Agam Regency, conversion of agricultural land to non-use Agriculture is a threat to national food security.]]>
<![CDATA[Spatio Temporal Analysis of Urban Heat Stress Using Multispectral Data ]]>
<![CDATA[Antomi, Yudi]]>
<![CDATA[ Sumatra Journal of Disaster, Geography and Geography Education Vol 6 No 1 (2022): Sumatra Journal of Disaster, Geography and Geography Education (June Edition) ]]>
Publisher : <![CDATA[Sumatra Journal of Disaster, Geography and Geography Education ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (696.487 KB)
|
DOI: 10.24036/sjdgge.v6i1.418
<![CDATA[The effect of urbanization on the future atmospheric environment of cities around the world remains uncertain in the context of climate change. Using temperature measures can be analyzed how changes in the thermal environment can affect human well-being. The study aims to support city planning authorities in the study of urban heat stress hazards. Therefore, land surface temperatures (LST), as well as Physiological Equivalent Temperature (PET), are applied to take into account the spatial distribution of heat stress. Heat stress conditions are mapped and generated by connecting land surface temperatures with PET values. Landsat 7 ETM+ and Landsat 8 OLI/TIRS remote sensing data are used to capture LST, and PET categories are used to assess heat stress based on LST. Based on the results of the spatial analysis shows there is an increase in the hazard of spatiotemporal heat stress in Padang city, in the year 2007 the highest LST reached 300C in the category of Moderate Heat Stress with an area of 1.2 hectares, but in the year 2017, the highest temperature reached 330C with a wide area of Moderate Heat Stress reaching 730.98 hectares. These results demonstrate the need for mitigating heat stress through the city's green open spaces.]]>
<![CDATA[Web-Gis Based School Zone Determination In Sungai Penuh City ]]>
<![CDATA[Yuhanda, Ilham]]>;
<![CDATA[Yulfa, Arie]]>;
<![CDATA[Antomi, Yudi]]>
<![CDATA[ Sumatra Journal of Disaster, Geography and Geography Education Vol 6 No 2 (2022): Sumatra Journal of Disaster, Geography and Geography Education (December Edition) ]]>
Publisher : <![CDATA[Sumatra Journal of Disaster, Geography and Geography Education ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (66.382 KB)
|
DOI: 10.24036/sjdgge.v6i2.433
<![CDATA[When selecting the Acceptance of New Students (PPDB) for the zoning route, students have difficulty determining the school zone according to their place of residence. So far, the determination of school zones only uses google maps, but the application is not explicitly designed for it. Through WEB-GIS, problems related to school zoning can be solved because this application provides spatial information specifically in determining distances that can be used as WEB-GIS. The steps taken are to select the research location, conduct a system engineering analysis of the system, and design, and implementation of the trial use and operation of the system. In systems engineering, interviews, observations, and questionnaire surveys were conducted. This system engineering is intended to find out the proposal from system analysis as the basic design material after that it enters the application development. The final stage in developing the system is testing its use by the school and students and operating the system. The results obtained for system analysis must provide school zoning information facilities that can edit data, upload data, and delete data. The test results show that the system can be run more than 75% of the respondents said they were satisfied and very satisfied. Based on t]]>
<![CDATA[DETERMINATION OF COMMUNITY STRUCTURE AND INDEX MANGROVE HEALTH INDEX (MHI) IN DELI SERDANG DISTRICT, PROVINCE NORTH SUMATRA ]]>
<![CDATA[dea lusiyanti]]>;
<![CDATA[Yudi Antomi]]>;
<![CDATA[Triyatno Triyatno]]>;
<![CDATA[Azhari Syarief]]>
<![CDATA[ International Remote Sensing Applied Journal Vol 4 No 1 (2023): International Remote Sensing Application Journal (June Edition 2023) ]]>
Publisher : <![CDATA[Remote Sensing Technology Study Program ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24036/irsaj.v4i1.40
<![CDATA[This research aims to 1) Know the structure of the mangrove community in Deli Serdang Regency, 2) To find out the differences in the classification of the health level of the mangrove communities in Deli Serdang Regency using Sentinel 2A and Landsat 8OLI imagery in 2022. In determining the structure of the mangrove community carried out by making plot plots to measure trunk circumference and types of mangroves found in Deli Serdang Regency, while to find out differences in the classification of mangrove health levels it was done by comparing the vegetation density values in the field and the canopy density values based on the NDVI vegetation index from Sentinel 2A and Landsat 8OLI imagery. year 2022. The results of this study are, 1) The dominant mangrove species in Deli Serdang Regency are the Avicennia marina, Avicennia alba and Excoecaria agallocha types, with a low level of species diversity. 2) Sentinel 2A imagery is better to use than Landsat 8OLI imagery in determining the Mangrove Health Index (MHI).]]>
<![CDATA[ESTIMATION OF MANGROVE FOREST CARBON STOCK USING THE VEGETATION INDEX METHOD IN PADANG PARIAMAN DISTRICT ]]>
<![CDATA[Insanul Putri]]>;
<![CDATA[Yudi Antomi]]>;
<![CDATA[Febriandi Febriandi]]>;
<![CDATA[Azhari Syarief]]>
<![CDATA[ International Remote Sensing Applied Journal Vol 4 No 1 (2023): International Remote Sensing Application Journal (June Edition 2023) ]]>
Publisher : <![CDATA[Remote Sensing Technology Study Program ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24036/irsaj.v4i1.43
<![CDATA[Padang Pariaman Regency is categorized as a coastal district because it has a coastline of 42.11 km. Padang Pariaman Regency has resources, one of which is mangrove forests. Mangrove forests are scattered in several sub-districts in Padang Pariaman Regency. This study aims to determine the estimated carbon stock value of mangrove forests in Padang Pariaman District using the Geographic Information System and Landsat 8 imagery, and to determine the accuracy of the carbon stock estimation results from the Landsat 8 imagery vegetation index. The method used in this study isNormalized Difference Vegetation Index (NDVI). Based on the estimation results of the above surface biomass values obtained from the calculation of the correlation and regression equations in band 6 Landsat 8 imagery shows that the estimation results of the above surface biomass of mangrove forests in Padang Pariaman District obtain a maximum value of 644.85 tons/ha and a minimum value of 487, 92 tons/ha to obtain an estimated carbon stock value of 46% of the biomass value and an estimated maximum carbon stock value of 296.63 tons/ha and a minimum of 224.44 tons/ha.]]>
<![CDATA[KESESUAIAN IKLIM TERHADAP TANAMAN KOPI ROBUSTA (Coffea Canephora) DI KABUPATEN TANAH DATAR ]]>
<![CDATA[mufti khairatunnisa]]>;
<![CDATA[Yudi Antomi]]>
<![CDATA[ JURNAL BUANA Vol 5 No 4 (2021) ]]>
Publisher : <![CDATA[JURUSAN GEOGRAFI FIS UNP ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24036/student.v5i4.1551
<![CDATA[This study aims to determine :1) Climate classification in Tanah Datar Regency according to Schmidt and Ferguson systems 2) The suitability of each type of climate to the growth of robusta coffee plants. This type of research is classified as quantitative research aimed at finding the relationship between each variable so as to produce new information by revealing or describing something that already exists or is currently ongoing. Data collection uses secondary data obtained from the BMKG Meteorology, Climatology and Geophysics Agency and the Tanah Datar Central Statistics Agency. The results of this study indicate that the climate type of Tanah Datar Regency based on the 2015-2019 rainfall in each rain post according to the affordability of the Batipuh rain station is included in very wet climate types and other rain posts are included in the wet climate type. Tanah District is included in a suitable area for coffee plant growth because it is supported by weather elements such as rainfall, air humidity, air temperature, and altitude., With an area that is included in the very suitable category of 34%, the appropriate category is 42%, and for quite suitable category 25%]]>
<![CDATA[ANALISIS PERUBAHAN LUAS RUANG TERBUKA HIJAU PUBLIK DAN PRIVAT DI KOTA JAMBI ]]>
<![CDATA[ika - Tianingsih]]>;
<![CDATA[Yudi Antomi]]>
<![CDATA[ JURNAL BUANA Vol 5 No 3 (2021) ]]>
Publisher : <![CDATA[JURUSAN GEOGRAFI FIS UNP ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24036/student.v5i3.1653
<![CDATA[This research was conducted to identify changes in the area of public and private green open space in Jambi City and to identify the factors that influence changes in the area of green open space. This type of research is descriptive quantitative. The research was conducted in Jambi City, and was conducted from June to September 2020. Data collection techniques were obtained through observation and documentation. Data amalisis technique is obtained through spatial and descriptive analysis. The results showed that: (1) In the 2015-2019 period, the area of public Green Open Space (RTH) in Jambi City decreased, which decreased by 2,223.23 hectares from the original 2015 amounting to 10,167.67 hectares to 7,937.44 hectares in 2019 and the area of private green open space in 2015 has increased from an area of 6,983.74 hectares to 9,206.97 hectares in 2019; (2) the factors that influence the change in the area of public green open space are health facilities, educational facilities, and economic facilities, while the factor affecting the change in the area of private green open space is population density.]]>
