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All Journal TINGKAP GEA, Jurnal Pendidikan Geografi JPG (Jurnal Pendidikan Geografi) Sumatra Journal of Disaster, Geography and Geography Education Jurnal Geosains dan Teknologi JURNAL BUANA Science Education and Application Journal Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi YASIN: Jurnal Pendidikan dan Sosial Budaya MASALIQ: Jurnal Pendidikan dan Sains Jurnal Buana JURNAL BUANA
Ahyuni Ahyuni
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Religion Humanities Chemistry Computer Science & IT Earth & Planetary Sciences Education Energy Engineering Environmental Science Social Sciences Other

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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

Abstract

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
HUBUNGAN PENDAPATAN DAN PENDIDIKAN ORANG TUA DENGAN HASIL BELAJAR GEOGRAFI SISWA KELAS XI SMA N 1 ULAKAN TAPAKIS KABUPATEN PADANG PARIAMAN TAHUN PELAJARAN 2021/2022 Cendy Susanti; Ahyuni Ahyuni
JURNAL BUANA Vol 7 No 3 (2023): Edisi Pendidikan
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol7-iss3/3022

Abstract

This study aims to determine whether there is a relationship between income and parental education on student learning outcomes. This type of research is quantitative with Multiple Linear Regression Method. The population of this research is the students of class XI majoring in Social Studies in the academic year 2021/2022 as many as 80 students with a sample of 80 students using "total sampling". Based on the results of the study, it was concluded that income did not have a positive effect, and education did not have a positive effect on student learning outcomes, while income and parental education simultaneously did not affect student learning outcomes. The results of the calculation of the multiple regression formula between the X_1 variable have a positive value of 1.344 and a significant level of 0.195 > 0.05, meaning that the income variable has no effect. The X_2 variable has a negative value of - 0.215, and a significant level of 0.554 > 0.05, meaning that the education variable has no significant positive effect. The contribution of parents' income and education is only 2.2% to student learning outcomes, while 97.8% is influenced by other factors not examined in this study such as internal factors of interest, talent, motivation, learning methods, and external factors of the school environment, environment its people.
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

Abstract

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.
PERKEMBANGAN USAHA PENGOLAHAN BIJI KOPI ARABIKA DI KABUPATEN KERINCI TAHUN 2017-2022 Habib Arfandi; Ahyuni Ahyuni
JURNAL BUANA Vol 8 No 3 (2024)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol8-iss3/3497

Abstract

Research objectives: 1) Distribution patterns of Arabica Coffee Bean Businesses, 2) Development of Arabica Coffee Bean Businesses in terms of Capital, Labor and Sales 3) How Far Are Arabica Coffee Bean Business Sales in Kerinci Regency in 2017-2022. This research is a type of quantitative descriptive research using neighbor-nearest analyst analysis techniques, descriptive percentages, and spatial analysis of buffering. The results of this study: 1) The distribution pattern of Arabica Coffee Bean Processing Businesses in Kerinci Regency which was analyzed by the Average Nearest Neighbor in the ArcGIS Application obtained the Nearest Neighbor Ratio value of 1.836266, so the distribution pattern of Arabica Coffee Bean Processing Businesses has a dispersed or uniform pattern. 2) Development of Arabica Coffee Bean Processing Business in Kerinci Regency in 2017-2022 in terms of capital, labor and income. The Arabica Coffee Bean Business in Kerinci Regency, which has 7 industrial business points, the average capital issued now from its inception is Rp. 6,000,000-Rp. 25,000,000. The workforce used by each industry is only 7-25 people and with sales being the target market for the initial establishment of the business, namely local exports, domestic and international exports. 3) Sales of Processed Arabica Coffee Beans in the Market Sales of Processed Arabica Coffee Beans are marketed by means of distributors, which is for the target market to reach foreign/foreign exports such as Belgium, Japan, Germany and countries where coffee is one of their needs food Keywords: Distribution Pattern. Development. Nearest Neighbor Ratio. Arabica Coffee Beans
ANALISIS KESESUAIAN LAHAN KOMODITAS UNGGULAN KOTA PARIAMAN Abellia Fanny Aldeta; Ahyuni Ahyuni
JURNAL BUANA Vol 8 No 3 (2024)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol8-iss3/3603

Abstract

The aim of this research is to identify the flagship commodities and analyze the suitability of land for the flagship commodity subsector of food crops and plantations in the city of Pariaman. This research employs a quantitative descriptive method. The determination of flagship commodities utilizes parameters such as the production output of food crops and plantations in the city of Pariaman, as well as the productivity of food crops and plantations in the city of Pariaman. For land suitability assessment, matching and comparing characteristics such as temperature, root media (encompassing drainage and texture), nutrient retention, and slope are conducted using ArcGIS 10.8 software to determine the suitability of land for coconut and rice paddy cultivation. The research findings indicate that the flagship commodities of Pariaman City are rice paddy and coconut crops. There are four categories for rice paddy land suitability: highly suitable covering 95.7636 hectares (0.92%), moderately suitable covering 3,054.34 hectares (29.45%), marginally suitable covering 3,221.83 hectares (31.06%), and not suitable covering 4,000.25 hectares (38.56%). As for the coconut commodity, there are four categories: highly suitable covering 1,082.88 hectares (10.44%), moderately suitable covering 495.33 hectares (4.78%), marginally suitable covering 4,787.26 hectares (46.15%), and not suitable covering 3,995.5 hectares (38.51%).
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

Abstract

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

Abstract

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.
Co-Authors Abellia Fanny Aldeta Adeko, WR afrillia tri cahyani Afriyadi, Afriyadi ahmad asriful fauzi ahmad rafan rafan Ainul Karim Alfonsus Jimmy Hutabarat amalia ramadhani ruslan Anggi Pumar anisa mardiah Aqilla Fadia Utari Assyaroh Meidini Putriana Azwirda Aziz bambang wiranto wiranto Burhamidar, AH Cendy Susanti Dedi Hermon Devi Irmayani Saiser Dzaki, Gilang Muhammad Endah Purwaningsih Fadhilla Oktari Fadhly, A Feby Arinda Fitrah Andika Riyadhno fitri aji Gilang Samudra Habib Arfandi 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 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 Putra, Beben Graha Rachman, Muhammad Andika rahayu putri ningsy Rahmanelli Rahmanelli Rahmat Ilham Rahmawati, Zahara Ramadhan, Ravidho Ratna Wahyu Kusuma Arum Ratna Wilis Recha Ardianti Rery Novio Ririn Eriska Rivo Saputra Rizky Prabowo Robet Triarjunet 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 Swantry, N Syaifullah Urrahman Syamsul Arifin Syofiah, Yena Syaidah Tri Agustia Veronicha Briliani Wan Moh Jaafar, Wan Shafrina Warni, Annisa Nolvi Widya Prarikeslan Yesryl Nela Frendos Yurni Suasti