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ANALISIS KERAWANAN LONGSOR MENGGUNAKAN BAHASA PEMROGRAMAN PYTHON DI KECAMATAN SULIKI KABUPATEN LIMA PULUH KOTA Assyaroh Meidini Putriana; Ahyuni Ahyuni
JURNAL BUANA Vol 6 No 4 (2022): Edisi Geografi Bencana
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana.v6i4.2249

Abstract

One of the natural disasters that often occurs is landslides. Factors that cause landslides are geology, vegetation density, slope, slope direction, lithology type, and rainfall. Also related to the human factor in terms of land use. The case study of this research is Suliki District. The help of the Python programming language in GIS is able to create a model that aims to lighten and simplify the steps of spatial analysis. To create a landslide susceptibility model, the researchers used the Weight of Evidence (WoE) weighting method. The data used in this study were 30 random ground motion events. The data is divided into two groups of data, 60% is used as analysis data that functions for the preparation of the model and 40% is used as validation data for model testing. The research procedure includes the weighting of eight parameters that are considered as triggers for landslides. The results of the model test show the AUC value of 0.82. The use of Python programming language with bivariate statistical methods can run well according to the expected results.
TINGKAT BAHAYA BENCANA TANAH LONGSOR DI KECAMATAN PANGKALAN KABUPATEN LIMAPULUH KOTA MENGGUNAKAN ANALISIS BIVARIAT Ainul Karim; Ahyuni ahyuni
JURNAL BUANA Vol 6 No 4 (2022): Edisi Geografi Bencana
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana.v6i4.2261

Abstract

Statistical analysis assessment of landslide susceptibility has become one of the topics of research that is currently developing. Several types of parameters are thought to be the factors responsible for the occurrence of ground movement. However, some data types and models are specific and cannot be implemented in different locations. What's more, the data stored in some parameters is divided into several classes, depending on the goals and vision of the researcher. This study presents a step in identifying the best variables to find the level of vulnerability to landslides using bivariate techniques (Weight of Evidence, WoE). The location of this research is an area prone to landslides which cause a lot of losses, so this research is expected to be a material consideration for interested parties.
PENGARUH UNSUR CUACA TERHADAP PERSEBARAN KASUS DEMAM BERDARAH DENGUE (DBD) DI KOTA PADANG TAHUN 2020 Robet Triarjunet; Ahyuni Ahyuni
JURNAL BUANA Vol 6 No 3 (2022): Edisi Sistem Informasi Geografi
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana.v6i3.2414

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ABSTRACT The purpose of this study is to find out the spread of dengue incidence cases in Padang City in 2020, knowing the correlation and influence of weather elements (rainfall, temperature, and wind speed) with the incidence of Dengue Hemorrhagic Fever (DHF) in Padang City in 2020 with variables used, namely cases of DBD by name by address, rainfall, temperature, and wind speed. The method used is nearest neighbor analysis to determine the pattern of distribution of DBD cases, bivariate statistics by using linear correlations and multivariate statistics by using geographically weighted regression (GWR) modeling. The results of the study showed the number of cases of DBD Kota Padang in 2020 as many 292 cases, the pattern of distribution of dengue cases from January to December has a pattern of distribution that clustered with the value range T = 0.36 - 0.63. The results of the analysis of Pearson Product Moment correlation of DBD events with weather elements namely rainfall (r = 0.261) (pvalue = 0.413), temperature (r = 0.580) (p value = 0.048) and angina speed (r = -0.635) (p value = 0.027), the results of geographically weighted regression modeling analysis i.e. rainfall (R2 0.22 - R2 0.25), 22 villages, (R2 0.26 –R2 0.49), 82 villages, temperature (R2 0.14 – R2 0.25), 30 villages, (R2 0.26 – R2 0.50) 34 villages, (R2 0.51 – R2 0.75) 30 villages, (R2 0.76 – R2 0.85) 8 villages, and wind speeds (R2 0.018 – R2 0.24) 104 villages. Keywords: Relationships, Influences, Bivariates, and Multivariates
KOMPARASI OBJEK WISATA AIR PANAS DI HOT WATER BOOM DAN SAPARANDAMAN DI KABUPATEN SOLOK SELATAN SUCI RAHMA DANI; Ahyuni Ahyuni
JURNAL BUANA Vol 7 No 1 (2023)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana.v7i1.2646

Abstract

This research was conducted in South Solok Regency with the objectives of (1) how the hot spring tourism object in South Solok Regency is viewed from the physical aspect (2) how is the development of the number of visitors to the hot spring tourism object in South Solok Regency. The research method used is descriptive research with a descriptive approach. quantitative. The results of the analysis 1) there are five variables in reviewing the physical condition of the Hot Water Boom and Saparandaman hot spring attractions including: Hot Water Boom and Saparandaman tourist attractions with a score of 2, Hot Water Boom facilities a score of 5 while Saparandaman with a score of 4, accessibility of Hot Water Boom and Saparandaman with a score of 4, accommodation with a score of 1 and promotion of Hot Water Boom with a score of 2,3,4,5, Saparandaman with a score of 2. 2) the development of the number of visitors to hot water attractions at the Hot Water Boom, the number of visitors experienced an increase in 2018 amounting to 29,853 people, while at the Saparandaman tourist attraction the number of visitors experienced an increase in 2019 amounting to 2,800 people. Keywords: Comparison, Development of Hot Springs
ANALISIS WILAYAH KERJA PUSKESMAS DI KOTA BENGKULU TAHUN 2021 Aqilla Fadia Utari; Ahyuni Ahyuni
JURNAL BUANA Vol 7 No 2 (2023)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana.v7i2.3156

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The aims of this study were (1) to find out how wide the working area of ​​the puskesmas in Bengkulu City is. (2) Knowing the ideal distance for services between health centers in Bengkulu City by utilizing the buffer and network analyst methods. The research method used is descriptive quantitative method by utilizing geographic information systems in the form of buffer analysis techniques and network analyst service areas. The results of this study indicate 1) The area of ​​work with the largest number is the Padang Serai Health Center UPTD with a working area of ​​34,712 km² which includes three working area sub-districts namely Padang Serai Sub-District, Sumber Jaya Sub-District and Teluk Sepang Sub-District. Then the smallest working area is UPTD Anggut Atas with a working area of ​​0.890 km² which includes five working areas namely Anggut Atas Sub-District, Anggut Dalam Sub-District, Kebun Geran Sub-District, Kebun Dahri Sub-District and Pengantungan Sub-District. The working area of ​​the UPTD Puskesmas is spread over 9 sub-districts in Bengkulu City, where in each sub-district there are 2 to 3 UPTD Puskesmas that can reach and serve the entire community in Bengkulu City. fulfilling the ideal service distance of 2 km as many as 13 puskesmas and 7 puskesmas did not meet the ideal service distance. In other words, the Puskesmas in Bengkulu City are sufficient to serve the entire community when viewed from the average number of supporting population of 18,595 people served in each puskesmas. This range can serve up to 9 work areas that can be accommodated by the UPTD in Bengkulu City.Keywords: Health Center, buffer, network analyst, distance, Bengkulu City.
Perubahan Tutupan Lahan TNKS di Kawasan Resort Kambang Nagari Pelangai Gadang Kecamatan Ranah Pesisir Kabupaten Pesisir Selatan Satrima, Ega Dira; Ahyuni, Ahyuni
MASALIQ Vol 4 No 4 (2024): JULI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v4i4.3329

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Kambang TNKS Resort Area Nagari Pelangai Gadang Ranah Pesisir District, Pesisir Selatan Regency is a conservation area. This type of research uses the Mixed Method method. This research is a planned, systematic, structured and measurable effort that utilizes both quantitative and qualitative research methods. The on-screen digitization technique is the process of changing geographic features on a map. The digitization process is carried out by delineating lanes and lines, delimiting the edges of existing objects. Such as roads, rivers, land parcel boundaries, buildings. The most dominating land area in 2017 is forest covering 47052.74 ha or around 84.34% of the total area and the most dominating land area in 2021 is also forest covering 45487.56 ha or around 81.53% of the total area. There are two factors that influence the change of land into forest farming areas (KTH), namely the lineage of ancestors and the economy. The most dominating land area in 2017 is forest covering an area of 47052.74 ha or around 84.34% of the total area and the most dominating land area in 2021 is also forest covering an area sof 45487.56 ha or around 81.53% of the total area, the factors that influence land change into forest farming areas (KTH) are 2, namely ancestral lineage and economy.
The Use of Map Media: A Study of Spatial Thinking Skills Mawarni, Lisa; Ahyuni, Ahyuni
Science Education and Application Journal Vol 7 No 1 (2025): Science Education and Application Journal
Publisher : Program Studi Pendidikan IPA, Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/seaj.v7i1.1193

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The Use Of Map Media: A Study Of Spatial Thinking Skills. This study aims to analyze the effectiveness of using map media in improving students' spatial thinking skills in biosphere phase E (class X) material at SMAN 1 North Kampar. Spatial thinking is very important in science education to understand spatial relationships in ecosystems, but biosphere learning faces complex challenges related to the interaction of organisms and their environment. Therefore, the use of map media, both digital and printed, is integrated in ecosystem analysis and prediction of environmental change to improve students' understanding. This study used a quantitative approach with a quasi-experimental method and Non-Equivalent Group Design. The research sample consisted of 30 students of class X3 as the experimental group and 30 students of class X1 as the control group. The intervention was conducted for two weeks in the odd semester. Data analysis using Independent Sample T-Test showed a significance value (sig = 0.001 <0.05), which means there is a significant difference between the two groups. N-Gain results showed that the experimental class had high effectiveness in spatial thinking (76.68%), while the control class was less effective (55.58%). These results show that map media can be used as an effective learning tool to improve students' spatial thinking skills. Teachers can utilize interactive or digital maps in ecology learning to clarify the concept of space and improve students' understanding of the biosphere.
PEMETAAN KAWASAN BAHAYA BENCANA LONGSOR DI KABUPATEN SOLOK MENGGUNAKAN METODE RANDOM FOREST Syofiah, Yena Syaidah; Ahyuni, Ahyuni
JURNAL BUANA Vol 8 No 4 (2024)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol9-iss3/3931

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Based on data from the Solok Regency Regional Disaster Management Agency, Solok Regency has experienced landslides spread across 13 sub-districts. Mapping the danger of landslides is needed for disaster management purposes. The Random Forest method can be used to determine the danger of landslides. Landslide records were obtained from field measurements at 101 points, 80% of the total points were used as training data and 20% for testing data. The AUC value obtained was 0.8533, which means the model is good at predicting landslide danger. The most dominant factors influencing the occurrence of landslides based on variable contribution values ​​are slope slope with values ​​(MDA= 58.89, MDG = 19.10), road distance (MDA = 42.47MDG = 9.54), and elevation (MDA = 24.41, MDG = 7.03). The landslide hazard map was reclassified into five hazard level classes obtained from probability values. The danger is very low (21.55%), low (18.81%), medium (24.78%), high (18.69%), and very high (16.18%).
Analysis of the Spatial Thinking Ability of XI Social Students Through Map Media on the Material of Indonesia as the World's Maritime Axis at SMA Santo Mikhael Pangururan Sirait, Elyasabeth; Ahyuni, Ahyuni
JPG (Jurnal Pendidikan Geografi) Vol 12, No 1 (2025)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jpg.v12i1.21984

Abstract

The study analyzes students' spatial thinking abilities using map media on the topic of Indonesia as the World’s Maritime Axis in class XI IPS at SMA Santo Mikhael Pangururan. A comparative descriptive method with a quantitative quasi-experimental design was applied. The sample consisted of 36 students in both the control (XI Social 3) and experimental (XI Social 1) classes, selected through purposive sampling. Data were collected using a test based on Jo and Bednarz's four spatial thinking components, consisting of 10 essay questions. Validity and reliability tests confirmed that 10 questions were valid. Pretest results in the control class showed scores for Non-Spatial (24.11), Primitive Spatial (20.38), Simple Spatial (6.44), and Complex Spatial (0.27). Posttest results increased slightly except for Complex Spatial, which remained the same. The experimental class showed more significant improvement, with pretest scores of Non-Spatial (17.5), Primitive Spatial (13.75), Simple Spatial (7.97), and Complex Spatial (0.97). After the intervention, all components increased, but Complex Spatial remained low. The N Gain test results showed a moderate improvement in the experimental class (0.59) compared to a low improvement in the control class (0.15). Statistical tests confirmed a significant difference (Sig. 2-tailed = 0.000 < 0.05), indicating that map media effectively enhanced students' spatial thinking abilities. The four spatial thinking components—non-spatial, primitive spatial, simple spatial, and complex spatial—help students connect visual and symbolic information, recognize locations, understand spatial relationships, and analyze geographical changes. The findings highlight the benefits of map media in improving spatial thinking, particularly in learning about Indonesia as the World’s Maritime Axis.Keywords: Spatial Thinking Ability, Maps, Indonesia as the World's Maritime Axis
PENERAPAN KONSEP GEOGRAFI DALAM BUKU TEKS GEOGRAFI KELAS XI KURIKULUM MERDEKA TERBITAN KEMENTRIAN PENDIDIKAN KEBUDAYAAN RISET DAN TEKNOLOGI Hamidah, Putri; Ahyuni, Ahyuni
JURNAL BUANA Vol 9 No 1 (2025)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol8-iss1/3732

Abstract

This research aims to analyze the application of geography concepts in geography textbooks for class XI of Kurikulum Merdeka published by Kemendikbudristek. This research uses qualitative and quantitative methods with literature studies. The research source used is the geography textbook for class XI of Kurikulum Merdeka published by Kemendikbudristek. The data was collected through documentation. The data analysis techniques used are percentage data analysis, content analysis, and qualitative analysis. According to the research, 40% of the 507 paragraphs in the geography textbook contain geography concepts. The textbook consists of four subject matter, one of which contains geography concepts with high criteria. The geography concept that dominates in this textbook is the concept of diversity and the concept of interaction. The concept of diversity is addressed in 72 paragraphs throughout the text, while the concept of interaction is mentioned in 106 paragraphs. Also, the concept of change is discussed in 21 paragraphs, whereas perception and representation are only present in 5 paragraphs. The application of organizing conceptually is predominantly observed in the second subject matter of the textbook. The textbook's application of conceptual geography concepts is still insufficient.
Co-Authors Adeko, WR afrillia tri cahyani Afriyadi, Afriyadi ahmad asriful fauzi ahmad rafan rafan Ainul Karim Aldeta, Abellia Fanny Alfonsus Jimmy Hutabarat amalia ramadhani ruslan Anggi Pumar anisa mardiah Aqilla Fadia Utari Arfandi, Habib Assyaroh Meidini Putriana Azwirda Aziz bambang wiranto wiranto Burhamidar, AH Dea Syamsaputri, Arrahmah Dedi Hermon Devi Irmayani Saiser Dzaki, Gilang Muhammad Endah Purwaningsih Fadhilla Oktari Fadhly, A Fadila, Rima Febiola, Rani Febriandi Febriandi, Febriandi Feby Arinda Fitrah Andika Riyadhno fitri aji Fitri, Julia Gilang Samudra Hadian Resky Aisyah Hamdi Nur Hamidah, Putri Harizona Aulia Rahman Hayati, Zahrotal Hidayat, Rizki Atthori IRSA GUNAWAN Jannesman, Hafiz Januarman Januarman Kurnia Illahi Lisa Lisa Mawarni M. Fajri, M. Mayang Sari, Putri Meri Novia Roza Mimi Yulia putri Mimi Minarti Minarti Mokhtar, Ernieza Suhana Muhammad Alfindo Muhammad Danil Ihsan Muhammad Hanif Muhammad Irsyad Muhammad Kabul Rahman Muhammad Ridho Naufal Muhammad Akram Nuraini, Riska Ayu Nurhamida, Wanda Pendriansyah, Dimas Pratama, Cindia Putra Mondia, Hafief Putra, Beben Graha Putra, Leon Emdika Rachman, Muhammad Andika rahayu putri ningsy Rahmanelli Rahmanelli Rahmat Ilham Rahmawati, Zahara Ramadhan, Ravidho Rana, Rana Ratna Wahyu Kusuma Arum Ratna Wilis Rauf Diratama, Fahrul Recha Ardianti Rery Novio Ririn Eriska Rivo Saputra Rizky Prabowo Robet Triarjunet Saputra, Nickola Satria M Fajar Satrima, Ega Dira selfia zalna Silvi Widya Rahmi Sirait, Elyasabeth sispandi saputra siti hamia ulfa Sri Mariya stella carolina Suci Purnama Sari SUCI RAHMA DANI Surtani Surtani Susanti, Cendy Swantry, N Syafri Anwar Syaifullah Urrahman Syamsul Arifin Syofiah, Yena Syaidah Syukriyah Syukriyah Tri Agustia Veronicha Briliani Viona viona, Viona Wan Moh Jaafar, Wan Shafrina Warni, Annisa Nolvi Widio Candra, Solid Widya Prarikeslan Yesryl Nela Frendos Yurni Suasti