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Kota malang,
Jawa timur
INDONESIA
Habitat
Published by Universitas Brawijaya
ISSN : 08535167     EISSN : 23382007     DOI : -
Core Subject : Education,
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Arjuna Subject : -
Articles 10 Documents
 1 
Search results for , issue "Vol. 33 No. 1 (2022): April" : 10 Documents clear
The Effect of Sustainable Supply Chain Management on the Performance of Certified Organic Coffee at Malang Regency Rosita Widya Putri; Dwi Retnoningsih
HABITAT Vol. 33 No. 1 (2022): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.1.8

Abstract

This study aims to analyze the effect of sustainable supply chain management on the performance of organic Robusta coffee in the Farmers Group, Amadanom Village, Malang Regency. The impact of sustainable supply chain management in this study is identified from the supplier, manufacture, and consumer variables. Supply chain performance is known through economic, environmental, and social dimensions. The approach used in this research is quantitative. The data was collected from 50 respondents. These respondents are all elements of Farmer Group's sustainable supply chain. Sampling was done by census and snowball sampling. The research used the Structural Equation Modeling-Partial Least Square (SEM-PLS) method to analyze. This study showed that the supplier does not significantly affect economic performance but has a positive and significant impact on environmental performance and social performance. The manufacturing variable has a positive and significant effect on financial and social performance but does not substantially impact environmental performance. Consumers in a sustainable supply chain have a positive and significant effect on economic performance, environmental performance, and social performance.
Analysis of the Structure, Conduct and Performance of the Chrysanthemum Flower Market in Pasuruan Regency (Study Case in Tutur Village) Zakia Putri Sulaiman; Ratya Anindita; Abdul Wahib Muhaimin
HABITAT Vol. 33 No. 1 (2022): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.1.1

Abstract

With a total FOB value of $792,698, chrysanthemums had a strong export performance in the previous four years (2014–2018). This demonstrates that chrysanthemums are very competitive in the global market (Balithi, 2019). When comparing the land area in 2018 to the previous year, 2017, the land area declined to 11,105,178 m2, with a production of 488,176,610 and a productivity of 43.96 per hectare of land in 2017. (BPS, 2019). In this research, the structure, behavior, and performance of the chrysanthemum market were investigated with the help of 25 respondents and 18 merchants, with the SCP technique being applied. The findings revealed that monopolistic institutions were responsible for the market structure, which consisted of perfect competition at the farmer level and a monopoly at the marketing agency level, as well as significant obstacles to entry, product differentiation, and vertical integration. According to the findings of an investigation into the behavior of the chrysanthemum market in Tutur Village, wholesalers and flower shops are the marketing agents who conduct the greatest number of marketing duties. Wholesalers have a monopoly on market information, with farmers serving as price takers and, subsequently, marketing organizations serving as price makers. Farmers' marketing options are constrained as a result of the presence of capital linkages between them and intermediaries, and many choose to sell their products through intermediaries rather than directly to consumers. In Tutur Village, there are four different ways in which chrysanthemums may be sold. As a result of the formation of a market structure, each marketing agent employs methods and colludes with others to achieve success. Following an investigation into market performance in Tutur Village, it has been discovered that channel 4 has the largest overall margin, followed by channel 5.
Market Integration Analysis of Cayenne Pepper in East Java Province Vetty Seily Kurnia Dessy; Hery Toiba; Fahriyah
HABITAT Vol. 33 No. 1 (2022): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.1.3

Abstract

Market integration research has often been used to evaluate agricultural products' marketing performance. However, the involvement of marketing agencies in chili marketing resulted in a relatively high price difference and impacted market integration. So it is essential to understand how the chili market integration as an effort to improve marketing efficiency and price control policies. The study analyzed the causality and market integration of cayenne pepper prices at the farmers' and retailers' levels in East Java Province. The study used weekly cayenne pepper price data at the farmers' and retailers' levels from 2016 - 2020. The secondary data was obtained from the Department of Industry and Trade of East Java Province. The analytical methods used in this study were Engle-Granger Causality analysis and Error Correction Model (ECM). The findings showed that retail prices caused the farmgate prices, but not the other way. However, the price of cayenne pepper at the farmer and retail level in East Java Province has been integrated. Therefore, this study showed that there needs to be an improvement in the farmers' institutional system to improve the farmers' bargaining position to reduce the power of the selling price control at the farmers' level by traders.
Perceived Public Service Quality and Accessibility for Regional Index Development: The Case of City of Mojokerto-Indonesia Abdullah Said
HABITAT Vol. 33 No. 1 (2022): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.1.5

Abstract

This research focuses on health and education as basic needs to build society through public services. Quality and accessibility are a series of processes to provide valuable services to society as a whole. Additionally, there is regional development to be closer and reach the community to avoid imbalances that occur between regions. This study used survey data collection methods and data analysis using quantitative descriptive. The sample of this study was 195 respondents spread across three districts of the City of Mojokerto using stratified random sampling related to a proportional sample. The findings in this study indicate that public services affected the quality and accessibility improvement of the people of Mojokerto Regency. However, public perception still showed that public services are not yet quality and affordable in all areas of society. Thus, public services have not been felt with the ease of access in some areas. There needs to be an evaluation of public services to provide welfare and improve connectivity between regions.
The Impact of Input and Output Prices on Indonesian Coffee Production and Trade Performance Fatkurrohim; Nuhfil Hanani; Syafrial
HABITAT Vol. 33 No. 1 (2022): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.1.4

Abstract

Coffee is one of the most important agricultural plantation commodities in Indonesia, contributing 1.17 billion USD to the country's foreign exchange in 2017. Indonesia was also the world's fourth-largest coffee exporter from 2011 to 2017. However, the performance of coffee production and trade is very dynamic. In 2018, there was a significant drop in coffee exports by 40.23%, relegating Indonesia to sixth place even until 2020. Coffee production also fluctuates significantly, in contrast to the constantly rising coffee demand. This research aimed to figure out what factors influence Indonesian coffee production and trade performance. A simultaneous equation model using the 2SLS approach was employed as the methodology. The findings revealed that, in the production block, cocoa prices and interest rates had a significant influence (  10%) on the coffee land areas. In contrast, domestic coffee prices, rainfall, and trends significantly impacted coffee productivity. Meanwhile, in the trade block, domestic coffee prices and non-tariff dummy barriers significantly influence Indonesia's total coffee exports. As a result, it can be deduced that changes in the input prices (substitution commodity prices, interest rates, rainfall, and trend) have a better impact on coffee production, while the output prices (domestic coffee prices) on the coffee trade performance.
An Identification of a Spatial Interaction Towards Rice Import in Selected ASEAN+3 Countries Ekalia Yusiana; Dedi Budiman Hakim; Tanti Novianti; Yusman Syaukat
HABITAT Vol. 33 No. 1 (2022): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.1.2

Abstract

Rice turns out as significant commodity in order to meet people’s needs of food on a half of the world's population. Rice is the most consumed commodity in Asia and wold, especially countries that are members of the ASEAN+3. The need for rice that is a basic necessity must be met, thus, the supply must be maintained as well to meet the needs of staple food, and every country conducts a trade through import activities. This study aims at examining whether there is a spatial interaction of rice import in the ASEAN+3. The results of the Moran I Test show that there is a spatial interaction on rice import in the ASEAN+3 towards 11 selected countries. Trade groupings (agglomeration) were also identified in the trade area. Identification of trade groupings occurs in several countries regarding countries that are in the low-high quadrant such as Vietnam, Thailand, Republic of Korea and Indonesia.
Comparative Study of SVR, Regression and ANN Water Surface Forecasting for Smart Agriculture Arief Andy Soebroto; Imam Cholissodin; Destyana Ellingga Pratiwi; Guruh Prayogi Willis Putra
HABITAT Vol. 33 No. 1 (2022): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.1.9

Abstract

In the smart agriculture system based on green-based technology of artificial intelligence (AI), flooding can be predicted early by forecasting the water surface and good agricultural irrigation. The process of rising and falling of the water surface in a water basin area can be explained theoretically, but since there are many related variables and the complexity of dependencies between variables, the mathematical model is difficult to construct. Forecasting water surface in the field of irrigation needs too many variable parameters, such as cross-sectional area, depth, volume of rivers and so on. Based on patterns in each period, forecasting can be done using a statistical method and AI. This study uses the support vector regression (SVR) method, regression, multiple linear regression, and algorithm backpropagation, all compared to one another. The results of tests carried out between SVR and multiple linear regression show that SVR is superior. This can be seen from the result of the mean square error (MSE) obtained for each method. SVR 0.03 and for multiple linear regression, 0.05. The result is also supported by the best MSE result in the regression method, which is 0.338, and the best MSE value in artificial neural network (ANN), which is 0.428.
Analysis Poverty of Fishermen's Households in The Coastal Area of Ambulu District, Jember Regency Afsah Indah Maulidah; Sujarwo; Budi Setiawan
HABITAT Vol. 33 No. 1 (2022): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.1.10

Abstract

This study aims to describe determine the factors that affect the household poverty of the Watu Ulo Sumberejo Village, Ambulu Sub District, Jember  District. The research was conducted in watu ulo in Ambulu Sub District, Jember  District. the selection of the research location was carried out deliberately (Purposive), with the consideration that the village is a coastal village with many fisherman household settlements, most of whom work as fishermen which own a fishing boat smaller or equal to five gross tonnages (GT). The population in this study were all the fisherman household of Watu Ulo in Ambulu Sub District, Jember district, namely 316 Household, with a total sample size of 38 respondents using the Yamane formula. To answer the objective, a binary probit model is used. The results showed that based on the binary probit test, the factors that significantly influenced household poverty of Watu Ulo in Ambulu Sub District, Jember District were the number of household members, education of the head of the household, the catch payment. It is necessary to improve distribution within the government, monitoring, counseling, and the support from the goverment so that the government is right on target. Keywords: household; small; fisherman; poverty; probit
Supplier Performance Evaluation on Regular Raw Material Suppliers by Applying AHP and TOPSIS Approaches (Evidence from the Apple Agroindustry) Afrizal Wisnu Wardana; Silvana Maulidah; Anisa Aprilia
HABITAT Vol. 33 No. 1 (2022): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.1.7

Abstract

The supplier is one of the supply chain entities that serves as a provider of raw materials, and poor supplier performance will harm the company's smooth production system. This study aims to identify supplier criteria, analyze priority weights, and evaluate supplier performance in the apple Agro-industry. Respondents in this study were business owners chosen through the judgmental sampling method. The Analytical Hierarchy Process (AHP) method was used to test the priority weights of supplier performance criteria, while the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method was used to test the priority weights of supplier performance priorities. The results showed that the service criteria received the highest priority weighting criteria, followed by price, quality, and delivery. Good service will positively impact integration, making it easier to achieve an effective and efficient supply chain. Meanwhile, in terms of the company's fixed supplier performance priorities, supplier 1 received the highest rating, followed by suppliers 2 and 3. Thus, supplier performance is quite good, but several things could be improved, specifically fruit size and responsiveness to supplier 3 and prices to suppliers 1 and 2.
Is There A Correlation Between Social Capital and Well-Being? A Case Study of Urban and Rural Communities in Indonesia Tri Wahyu Nugroho; Nuhfil Hanani; Sujarwo; Hery Toiba
HABITAT Vol. 33 No. 1 (2022): April
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2022.033.1.6

Abstract

The third goal of sustainable development is the well-being of society. Government actions to achieve this goal is by increasing built capital (e.g., infrastructure and housing) in urban and rural areas. Other forms of capital that can improve well-being include strengthening community bonds in the community (social capital). This study aims to explore the level of social capital (bonding, bridging, and linking) in rural and urban communities and the correlation between social capital and well-being. The data used is the Indonesian Family Life Survey 5 (IFLS5). The sample consists of 12,872 rural communities and 18,532 urban communities. T-test analysis was used to determine differences in levels of social capital, while a pairwise correlation was used to determine the correlation between social capital and well-being. The results showed that the majority of urban and rural communities had moderate levels of bonding and bridging, while linking is at a low level. In addition, there are significant differences in bonding, bridging, and linking social capital between urban and rural communities, in which rural communities have higher scores than urban communities. It was also found that there was a positive relationship between the bridging and bonding of urban and rural communities and well-being.

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