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INDONESIA
Geo-Image Journal
Published by Universitas Negeri Semarang
ISSN : 22526285     EISSN : 25490362     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
This journal publishes original research and conceptual analysis of geography, geographical mapping science and technology and environmental sciences.
Arjuna Subject : -
Articles 20 Documents
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Search results for , issue "Vol 6 No 1 (2017)" : 20 Documents clear
KARAKTERISTIK BURUH INDUSTRI DAN PREFERENSI TERHADAP PEMILIHAN RUMAH KOST DI KELURAHAN NGEMPON KECAMATAN BERGAS KABUPATEN SEMARANG TAHUN 2016 Madyaratri, Dwiga Selly; Hardati, Puji; Arifien, Moch.
Geo-Image Vol 6 No 1 (2017)
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v6i1.15237

Abstract

This research aims to determine the distribution of boarding houses, characteristics of industri workers, factors that affect the preferences of election a boarding house and the preferences of election a boarding house for industry workers. Techniques of data collection using questionnaires, documentation and field measurements. Data were analyzed using spatial analysis and percentage descriptive analysis. The results showed that the distribution of boarding houses tend to be located in industri area which are neighborhood unit 01, unit 04, unit 05, and unit 06. Characteristics of industry workers are divided into three aspects, namely a) demographic aspects including age, sex and marital status; b) socio-cultural aspects covering the status and position of industry workers, the latest education and the origin of industry workers; and c) economic aspects that include income and expenditure of industry workers in a month. Factors that affect the preferences of election a boarding house are internal factors and external factors. Internal factor is the characteristics of industry workers, while the external factors are divided into four factors: physical factors, accessibility factors, environmental factors, and boarding house facilities.The preferences of election a boarding house for industry workers there a four, among them a) ease of access to the work site and the infrastructure that is the main reason industry workers choose where to stay in boarding house; b) a clean, safe and comfortable boarding house environment, which is the second reason; c) cheap boarding house rental fees is the third reason; and d) completeness of public facilities boarding house which is the last reason industry workers in choosing boarding house.
ANALISIS SEBARAN AREA KOMODITAS UNGGULAN PERTANIAN TANAMAN PANGAN DI KABUPATEN BREBES Ariyanto Darmawan; Rahma Hayati; Hariyanto Hariyanto
Geo-Image Vol 6 No 1 (2017)
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v6i1.15239

Abstract

The aims of this research are:1) Knowing commodity comparatively superior and competitive, 2) Knowing the rate of growth in the popularity of food crops, 3) Knowing what are the priority commodities and 4) Knowing the spatial distribution superior commodities. The sampling technique purposive sampling. The primary data obtained directly from the farmer to the instrument in the form of a questionnaire. Secondary data were obtained from the agency the Central Bureau of Statistics and the Department of Agriculture and Horticulture. The results showed that: paddy rice field comparatively superior based on analysis Location Quetient (LQ) with the most extensive distribution area, covering 10 districts. Commodities superior competitive basis based on the analysis of Revenue Cost (R/C) with the highest grade in the class of food crops are green beans. The growth rate of the region based on the analysis of the Shift Share (component proportional shift and differential share) is positive in District Tonjong. Commodities are prioritized to be developed is a commodity that includes a first priority, the paddy rice, dry rice, maize, cassava, sweet potato and peanut spread over 10 districts.
PERENCANAAN MODA TRANSPORTASI UMUM DI KECAMATAN MIJEN KOTA SEMARANG Sukmana, Khomang; Putro, Saptono
Geo-Image Vol 6 No 1 (2017)
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v6i1.15242

Abstract

Transportation is an important aspect in society mobility to do their daily activities. This study wants to find out what the trips number (trip generation), where the distribution of trip (trip distribution) and how to plan public transportation in Mijen. Based on the result is the data shows that the number of trips in Mijen is 44,388 trips / day. The distributions of the trips in Mijen are 20,275 trips / day, Mijen to Candi industrial areas are 15,282 trips / day, Mijen to Tambakaji industrial estate are 5581 trips / day, Mijen to the industry in Tugu are 2979 trips / day, Mijen to Pemuda Street are 259 trips / day, Mijen to Johar market are 8 trips/day, Mijen to Simpang Lima are 5 trips / day. And, the users of public transportation in Mijen are 36%. Meanwhile, there are some criteria in selecting public transportation. The data shows that the first priority is salvation, the second is fare, and the third is comfort. The following priorities are security, travel time, frequency of the vehicle, reliability, waiting time and carrying capacity. First alternative of public transportation modes are medium bus. The second is the bus. The following alternatives are small bus and taxi.
KAJIAN KERAPATAN VEGETASI HUTAN LINDUNG GUNUNG UNGARAN JAWA TENGAH TAHUN 2016 MENGGUNAKAN METODE INDEKS VEGETASI Lintang, Nuansa Chandra; Sanjoto, Tjaturahono Budi; Tjahjono, Heri
Geo-Image Vol 6 No 1 (2017)
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v6i1.15243

Abstract

The research aims are to know the vegetation density level using vegetation index method of NDVI, SAVI, ARVI, DVI and RVI and to know the highest accuracy of vegetation index methods to determine the vegetation density in protected forest Mount Ungaran. The sampling method use purposive random sampling, with 82 sampel points. This research uses descrpitive research method. The first variable is vegetation density and the second ones is distribution and area produced by vegetation index transformations. The result of this research shows that the distribution and the area of classification results for each vegetation index transformation are different. There was little differenceof wide in the transformation of NDVI and SAVI is an area of 900 m2, equevalent to one pixel on the Landsat-8 imagery. Meanwhile classification generated by the transformation of ARVI, a lot of generating area is included dense classification, and the classification generated by the transformation of DVI and RVI is more a lot included rare classification. The confusion matrix shows NDVI transformation has the best accuracy with an overall accuracy percentage of 75,61%.
ADAPTASI MASYARAKAT TERHADAP BENCANA LONGSOR LAHAN BERDASARKAN TINGKAT KERAWANAN DI KECAMATAN BANYUMANIK KOTA SEMARANG Utami, Otty Damayanti; Tjahjono, Heri; Sriyono, Sriyono
Geo-Image Vol 6 No 1 (2017)
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v6i1.15244

Abstract

This study aims to identify the distribution of vulnerable areas of landslide and assess the society adaptation towards landslides in Banyumanik Distric, Semarang. The population in this study whole units of the terrain and the people in the Banyumanik Distric. Sampling in this study use sampling area on 19 terrain units and 80 respondents who are determined using Dixon B. Leach. This study uses a scoring method for mapping vulnerable areas of landslide and descriptive percentage to determine the level of society’s adaptation to landslides. The results of the study explains that level of vulnerability index in Banyumanik District. The high level of landslide is 842,13 Hectares (27,23 %), intermediatte level is 308,66 hectares (9,98%), the low level is 1,058 hectares (34,21%), and the most low level is 883,80 Hectares (28,58%). The society conduct landslides adaptation according to their knowledge and experience. The classifier of society adaptation to landslides including three aspects: physical, economic, and social aspects.
ANALISIS SPASIAL DEBIT PUNCAK DAERAH ALIRAN SUNGAI BERINGIN DENGAN METODE RASIONAL Rifqi, Putra Muhammad; Setyowati, Dewi Liesnoor; Suroso, Suroso
Geo-Image Vol 6 No 1 (2017)
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v6i1.15245

Abstract

This study aims to 1). Calculating peak discharge of BeringinWatershedby usingRational methode; 2.) Spatially Analyzingof peak discharge in Beringin Watershed.Peak discharge ( Qp ) calculated with the Rational methode Qp = 0,00278 .C .I .A using map overlay technique. Spatial technique analysis used to get the spatial information related to scatter peak discharge culmination of the condition of those three variable, namely the surface run off coefficients depend with human activity, value of the rain fall intensity and catchment area of every sub-watershed to the total discharge of Beringin Watershed.This research produce the top Beringin Watershed Qp amount 25,5 m3/swith five peak discharge of sub-watershed areasBeringin Watershed the highest peak discharge to the lowest successive, namely Demangan sub-watershed, Tikungsub-watershed, Dondong sub-watershed, Beringin hilir sub-watershed, and Gondoriyo sub-watershed with the each value is 10,8 m3/s (42,3 % ), 9,5 m3/s (37,3 %), 2,4 m3/s (9,4 %), 2,2 m3/s ( 8,6 %), and 0,6 m3/s (2,4%).The different condition of peak discharge Beringin Watershed spatial distribution may cause of somethings, as characteristic variation of run off coefficient value, total rainfall intencity that come in to the watersheed, and areas on each sub-watershed.
SEBARAN LOKASI DAN KARAKTERISTIK MODAL INDUSTI KECIL RUMAH TANGGA DI KECAMATAN SUSUKAN KABUPATEN SEMARANG Shohibbudin, Shohibbudin; Hardati, Puji; Putro, Saptono
Geo-Image Vol 6 No 1 (2017)
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v6i1.15246

Abstract

This research aims to describe: 1) the distribution of small home industries including the location of the industries, the source of raw materials, and the range of industries’ marketing, 2) the characteristic of small home industries capital, 3) the labor absorption rate, 4) the contribution of the income of the small home industries to the family income.The research method is survey, documentation, and interview. The research result is the spatial distribution of the small home industries is in the entire village in Susukan District. The labors absorption in Susukan District is 5%. The average incomes of the small home industries is Rp 4.200.000,- per month. The contribution of the income of the small home industries to the family income is 75%.
FAKTOR YANG MEMPENGARUHI PREFERENSI PEMUKIMAN DALAM MENENTUKAN LOKASI PERUMAHAN DI PERUMAHAN BUKIT SUKOREJO DAN PERUMAHAN TRANGKIL SEJAHTERA KECAMATAN GUNUNGPATI Raharjo, Sudono Salim; Sriyono, Sriyono
Geo-Image Vol 6 No 1 (2017)
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v6i1.15247

Abstract

This study aims to identify factors that affect consumers for choosing Bukit Sukorejo Residence and Trangkil Sejahtera Residence as their settlement. The approach used in this study is quantitative correlation with looking for a relationship or correlation between variables. The focus in this research is preference residence for determining the location of house in Bukit Sukorejo Residence and Trangkil Sejahtera Residence. This research selects a cross-table analysis as the data analysis techniques. The results obtained are level of education, financial status, aesthetic location, prestige location, accessibility to employment and service facilities, and the environment values.
DISTRIBUSI KERUANGAN DAERAH TERKENA BENCANA KEKERINGAN DAN KESIAPSIAGAAN RUMAH TANGGA DALAM MENGHADAPI BENCANA KEKERINGAN DI KECAMATAN BRINGIN KABUPATEN SEMARANG Reynaldi, Widdy; Hardati, Puji; Parman, Satyanta
Geo-Image Vol 6 No 1 (2017)
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v6i1.15248

Abstract

The aim research to know spatial distribution villages affected drought, characteristics disaster households drought, and household preparedness drought in district Bringin. Research method is quantitative descriptive. Technique data collection with the documentation, questionaire, interview, observation. Sampling techniques using sampling area to find sample region examined villages with level regions drought and technique purposive random sampling specified village samples and sampling proportional to number each region samples taken together. Result spatial distribution villages affected drought consists three categories low, medium and high. Low class village named Truko, medium categories named Wiru, high categories named Rembes. Household characteristics drought in village of Truko classified well to support drought preparedness, Wiru Village classified as a household characteristics enough to support drought preparedness, while villages classified as Rembes not good. Level of village preparedness. Preparedness household in Truko including ready, Villages Wiru quite ready, while Villages Rembes not ready.
TRAYEK ANGKUTAN UMUM UNTUK MENGOPTIMALKAN INTERAKSI DESA KOTA DI KABUPATEN BOYOLALI Wimas Hasan Febrianto; Saptono Putro; Hariyanto Hariyanto
Geo-Image Vol 6 No 1 (2017)
Publisher : Geo-Image

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v6i1.15249

Abstract

This study aims are to 1) determine the travel pattern of the population movement from the rural to the urban areas through the information of the source travel destination, purpose to do the travel, time to is affected by the activities and the use of field. 2) to determine the value of loading factor of public transportation in Boyolali Regency. 3) to determine which region having strong or weak attraction/generation of trip. The techniques that use for collecting data through by the observation, interview, and documentation. The data that has been gotten then can be processed using the Likert and Gutman scale technique.Based on the result of this study, our society need comfortable general transportation tool. In other way, society also want the goverment to create a ne trajectory paths in the region that has not yet passed by the public transportation.

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