bluuebunny/crossref_metadata_2025_split huggingface dataset:
Landslide Susceptibility Levels Analysis Based on Geographic Information System (GIS) in Simo District, Boyolali Regency
Authors: Yulianto Y. W. , Cholil M. 
Published: July 2024

Abstract
Landslides frequently occur in several regions due to high rainfall. This is because Indonesia is a country located in a tropical region with diverse topography and high precipitation. Based on these issues, the objective of this study is to map areas of potentially vulnerable areas to provide accurate information and early warning to the people of Boyolali, especially related to locations that are estimated to have a high level of risk. Mapping areas that have the potential for landslides in Simo District, using Geographic Information System (GIS) software with a weighted overlay method approach. Types of related data such as soil slope, rock type composition, soil type, land use, and annual rainfall amount through a weighted overlay process using weights and scores related to each parameter. Interviews were also conducted to one of the village leaders in each village to find out the history of landslide events for the 2020-2023 period. This study shows the level of landslide vulnerability in areas in Simo District, Boyolali Regency reached 44.25047 km2, medium at 6.333904 km2, and low with an area of 1.094838 km2. The history of landslides in Simo District can be seen in Table 14, where the most landslides occurred in Pentur Village with a total of 4 incidents, followed by Gunung Village and Walen Village with 3 incidents, Wates Village, Kedunglengkong Village, and Sumber Village with a total of 2 incidents and Pelem Village with 1 incident. Kedunglengkong, Pelem, Pentur, Walen, Wates, and Sumber villages need attention from the local government for the implementation of adaptation measures to landslide risk because the 7 villages have a high level of landslide vulnerability.
Urban food security from the perspective of marketing performance of rice agroindustry in Dumai City, Indonesia
Authors: Septya Fanny , Andriani Yulia , Pebrian Sispa 
Published: July 2024

Abstract
Dumai City is an urban area with a rural economic style, such as the livelihoods of farmers, planters, breeders and fishermen. Even though local rice production shows an increasing trend, the availability of rice for Dumai City is still supported from outside Riau Province. The urban rice agroindustry is present to form an efficient rice marketing performance. This study aims to analyze the availability of rice, marketing channels, and performance in the rice agroindustry in Dumai City. The research method used was a survey method on two agroindustries which were selected purposively based on rice agroindustry criteria. The analytical method used was descriptive qualitative and descriptive quantitative to analyze rice subsistence and marketing channel and also descriptive quantitative to analyze marketing performance of rice agroindustry. The results showed that the rice subsistence level for Dumai City was only 6.7 percent, and the local rice supply for Dumai City was supported outside the province. Based on marketing analysis, the rice agroindustry by Perum Bulog and CV ADAB was included in the efficient marketing category with a total margin value below the selling price of rice, namely Rp. 6,100 and Rp. 1,350, and marketing efficiency values below 30 percent, 10.35 percent, and 2.9 percent. ADAB rice agroindustry with intermediary materials in the form of quality rice from West Sumatra was considered to have more efficient marketing. Implication based on the result is rice agroindustry in Dumai City is worth to develop in order to strenghting food security by local rice production and marketing policy support.
Cocoa Farming Commercialization Level and Influencing Factors
Authors: Zachra S A , Kusnadi N 
Published: July 2024

Abstract
Cocoa in Indonesia is an important agricultural commodity that plays a significant role in the national economy. As the main raw material for the industry, cocoa is recognized as a commercial commodity. However, at the farm level, the issue of subsistence in cocoa farming is believed to still be a current issue. This study aims to measure the level of cocoa farming commercialization and determine the factors influencing it. The research utilizes secondary data from a survey conducted in collaboration between the Department of Agribusiness, Faculty of Economics and Management, IPB University, and Maastricht School of Management (MSM) in the Netherlands, under the Project NICHE (The Netherlands Initiative for Capacity Development in Higher Education) in 2016. A total of 270 cocoa farming units were selected from three provinces, namely West Sulawesi, Bali, and West Sumatra. The Structural Equation Modeling-Partial Least Squares (SEM-PLS) method was used in this study. The results of the analysis indicate that the characteristics of subsistence cocoa farming are more dominant (54.45 percent) compared to the characteristics of commercial cocoa farming (45.55 percent). The factors influencing the level of cocoa farming commercialization are the characteristics of the farming system and the role of economic institutions related to cocoa farming. Personal characteristics of farmers were not confirmed as determinants of commercialization. The implication of these findings is that the level of commercialization is an outcome of the socio-economic environment in which cocoa farming operates.
Artificial Neural Network Model Application for Validating and Predicting Ruminant Population in East Java, Indonesia
Authors: Khusna A , Muzayyanah MAU , Kusumastuti TA , Putra ARS 
Published: July 2024

Abstract
The aim of this study was to develop a model that could estimate the population of ruminants (beef cattle, goats, and sheep) in East Java with high accuracy. Secondary data on ruminant livestock populations in 31 regencies in East Java Province were acquired from the Central Bureau of Statistics of East Java between 2009 and 2020. Modeling backpropagation neural networks and feedforward learning processes with architectural models for beef cow population 11-3-1, goat population 11-3-1, and sheep population 11-5-1 are used to predict the population of ruminants in East Java. This architecture has a precision of more than 90%. The prediction RSquared (R2) for the beef cattle population is 0.997, the goat population is 0.998, and the sheep population is 0.975.
The superior performance of Inpari 42 varieties and the feasibility of rice seeds in supporting food security in South Sumatra Province
Authors: Waluyo  , Suprihatin A , Suparwoto  , Jumakir  
Published: July 2024

Abstract
The need for superior and certified source seeds of Inpari 42 in South Sumatra is very high, so it is necessary to increase the availability of these seeds and the number of breeder farmers. The research aims to increase seed availability and test the feasibility of Inpari 42 seed farming to support food security in South Sumatra. The study was conducted in Tulus Ayu Village (irrigated), East OKU Regency, a seed production center area. The B/C and R/C ratios are used to analyze the feasibility of source seed farming. The respondents were farmers using Inpari 42 seed from four agroecosystems and prospective seed breeders. The results showed that the productivity of Inpari 42 reached 6.9-7.1 t ha−1, and the productivity of source seeds was 4 t ha−1. Farming source seeds and Inpari 42 consumption are feasible. The MBCR value of source seeds farming also reached 1.94. The potential of Inpari 42 sources seed farming is also enormous, as evidenced by the distribution of Inpari 42 seed, which increased from 2 ha (irrigated) to 160 ha (irrigated, rainfed, tidal, and swamp). Therefore, support from relevant agencies is needed in the form of capital, technology, and regulations to increase breeder farmers’ capacity.
Analysis of Strategic Programs in Planning and Developing Cattle-Oil Palm Integration System
Authors: Raisa D M , Sirajuddin S N , Syamsu J A , Arsyad M 
Published: July 2024

Abstract
The cattle-oil palm integration system refers to a farming approach that involves the integration of the plantation sub-sector and the livestock sub-sector. It can be achieved by utilizing the vacant area beneath oil palm plants to graze beef cattle. The combination of oil palm and cattle production systems has significant social, economic, and ecological standpoints. The program strategy for establishing a cattle-oil palm integration system highlights the importance of institutional involvement in supporting a priority program that has achieved success in multiple areas. The study was conducted in the Tanah Bumbu District in the South Kalimantan Province. The place selection was conducted via purposive sampling, considering its potential as a prototype for combining cattle and oil palm development. This research aims to determine the optimal approach for implementing integrated systems in oil palm plantations of various scales. The research findings on the role of institutions in the integration system of oil palm and cattle are crucial for supporting prioritized programs that have been accomplished in multiple domains. The study employed Interpretative Structural Modelling (ISM) analysis to formulate a complex policy structure based on its constituent elements, establish a hierarchy of relationships among these elements, and classify them into four quadrants (autonomous, independent, dependent, and linkage). These include the social functions and the role of institutions in facilitating coordination among different entities. By understanding the significance of institutions, it becomes possible to effectively implement programs to enhance the development of integrated systems of cattle oil palm. The ultimate goal is to bring about positive changes in welfare, participation, trust, communication, and conflict resolution among oil palm smallholders and cattle breeders involved in the cattle-oil palm integration system. In economic function, institutions influence the fluctuations observed in income, production costs, and net profit for individuals engaged in the oil palm-cattle integration system, specifically oil palm smallholders and cattle breeders. Regarding the involvement of the environment, several repercussions arise, including alterations in soil quality, oil palm plantation productivity, biodiversity within ecosystems, greenhouse gas emissions, and deforestation within oil palm plantations engaged in the oil palm-cattle integration system. As a suggestion for achieving sustainability objectives in inclusive and sustainable palm oil plantations, it is advisable to prioritize establishing effective collaboration and partnerships among all relevant stakeholders, sharing expertise and information and the concerted effort to develop robust and mutually beneficial interconnections.
Agricultural Household Economic In Condition Flood Impact Of Climate Change In Indonesia
Authors: Yamin M , Putri N E 
Published: July 2024

Abstract
Floods cause vulnerability to the livelihoods of farm households that rely on land for farming as the main livelihood. Strategy is required for the livelihood of farm households to be sustainable despite the flood disaster. This study aims to: 1) analyze the income structure of farmers affected by floods affected by climate change in Indonesia and 2) assess the sustainability level of household income sources of farmers affected by the flood. Through primary and secondary data collection, the research method used is a survey method representing three provinces: South Sumatra, Central Java, and East Kalimantan. Data analysis performed is the calculation of household income structure analysis, agrarian density calculation, and ability to support life. This research results from the farmer’s income structure: contribution from the most significant second largest on the farm comes from no farm and smallest from off-farm. Based on land carrying capacity and agricultural density, rice farming is sustainable.
Observing the Resilience of Hyacinth Craftsmen Entrepreneurs in the Post Pandemic Era
Authors: Maria  , Saputri Eirinetina E D 
Published: July 2024

Abstract
The existence of hyacinth on Rawa Pening could destroy the ecosystem. Community who lives around Rawa Pening started to create and make hyacinth crafts. Previously product marketing was executed around Rawa Pening tourism but it has changed during Covid-19 pandemic. People’s mobility was limited therefore if only expecting tourist to come and buy hyacinth craft the sales would decline. This research aimed to understand the resilience of hyacinth craftsmen entrepreneurs in the post pandemic era. This study used a qualitative approach. The units of observation in this study were owners, employees, and consumers. The results of the study revealed that reviving hyacinth craft of micro, small and medium enterprises (MSMEs) in the post-pandemic era required the entrepreneurial behavior in business competition with an attitude of taking risks, being creative, innovative, and hard-working. In addition, MSME businesses can survive in the post-pandemic era by managing online businesses competition. The owner can set prices that can reach all groups, be creative and innovative in making information center such as Linktree create products that maintain natural colors, dare to use digital marketing to provide long-distance services in the form of QRIS payments, and has wide-ranging partners to compete in the globalization era.
The Knowledge Management Readiness of Organic Rice Farmers in Ngawi Regency, East Java, Indonesia
Authors: Irianto H , Widiyanti E , Riptanti E W , Khairiyakh R , Prasetyo A , Mujiyo  
Published: July 2024

Abstract
The Go Organic policy has consequences for developing organic rice farming in the Ngawi Regency, East Java, Indonesia. Farmers often respond to this policy with various farm business transformations, depending on their knowledge management readiness. Therefore, this study aimed to determine the readiness level of organic rice farmers in applying knowledge management (KM) to accelerate Go Organic. The methods used were descriptive and analytical in nature and the respondents were 90 farmers from 14 selected districts with organic rice farming businesses. Data were collected through interviews with questionnaire guides, observations, and recordings, followed by analysis using descriptive statistics. The results showed an optimal KM readiness level of 81.4 % in the farmer group assessed from various aspects. However, the structure has the lowest assessment compared to the other aspects. This is related to the lack of rules or standard operating procedures regarding Good Agricultural Practices (GAP), Good Handling Practices (GHP), and irrigation management. Additionally, farmer groups can adapt and be flexible to the KM readiness requirements.
Study of Optimizing Swamp Lands in the Context of Socio-Economic Empowerment of Communities in Barito Kuala Regency, South Kalimantan
Authors: Noor Yuldian , Gunawan Cakti Indra , Arvianti Eri Yusnita , Yoga Tirta , Supartini Nonok 
Published: July 2024

Abstract
Optimizing agricultural swamp land had a positive impact on the socio-economic empowerment of the community in Barito Kuala Regency, South Kalimantan. The research was conducted from March to November 2022. This research was a descriptive study, that used the method of collecting data using an investigative survey. Data analysis carried out investigations of sharecroppers, mapping and situation surveys, surveys of land use conditions, and investigations of land tenure status. The results of the study stated that the impact of the Swamp Land Optimization program on Community Socio-Economic Empowerment, namely contributing to farmers having their rice farming land area, strengthening the structure of farmers’ income sourced from on-farm activities, and farmers being able to meet their own needs. Some of the obstacles that were still experienced by farmers are the lack of water sources to irrigate paddy fields, the condition of damaged road infrastructure, low production yields, infertile agricultural land, pests and plant diseases, and others. Advice for policymakers is to maintain the sustainability of swampland optimization activities because it provides optimal assistance to farmers in rice farming in swampland.
T-test analysis for income comparison between members and non-members of livunzu cooperative in chikwawa district, Malawi.
Authors: Chitheka Jones Kingsdale , Setiadi Agus , Mariyono Joko 
Published: July 2024

Abstract
This study examines the relationship between agricultural cooperatives and farmers’ income. Agricultural cooperatives have been a well-known avenue for improving small-scale farmers’ economic well-being by widening access to resources, markets and collective action. A simple random sample of 293 rice farming households was surveyed. The study employed the use of descriptive statistics to describe the characteristics of the respondents. A semi-structured questionnaire was used to collect data in a household survey targeting cooperative and non-cooperative members. The study employed the use of SPSS package version 28 in data analysis. T-test analysis was used to establish the statistical differences in means of the cooperative and non-cooperative member farmers. It was established that being in a cooperative improves income in rice farming. The results suggested that policies aimed at improving farmer’s access to market power, and production modalities are important intervention avenues that can affect the income of rice farming in the area. The understanding of the relationship between cooperatives and farmers’ income is important for policy makers, development workers and the farmers in their effort to enhance the economic well-being of the farmers.
Production Risk Analysis of Dairy Production Cooperative, Bogor, West Java
Authors: Nurunisa V F , Fadila I 
Published: July 2024

Abstract
Bogor Dairy Production Cooperative (KPS Bogor) is one of the largest dairy cooperatives in Indonesia. Consisting of 127 active members, KPS Bogor produces an average of 78.8 liters of milk per farmer daily. However, the quantity and quality of milk produced fluctuate significantly, leading to income fluctuations for dairy farmers. This situation might indicate production risks faced by dairy farmers. This research aims to analyze the production risk KPS Bogor dairy farmers face. The study analyzes the variance level, coefficient of variation (CV), and the lower limit of dairy farming in KPS Bogor. The results showed that the production risk faced by dairy farmers was categorized as the “very high” category, with a CV value of 0.27 or 27 percent. Sensitivity analysis shows that dairy farmers at KPS Bogor faced the highest risk when the milk price reached the highest price, about 43 percent. Meanwhile, the lowest risk might occur from the production risk.
Analysis of Factors Affecting the Success of Beef Cattle Artificial Insemination (AI) in Jepon District, Blora Regency
Authors: Musriati  , Setiadi Agus , Samsudewa Daud 
Published: July 2024

Abstract
This study aims to investigate the factors that influence the success of artificial insemination, the effect of successful artificial insemination on livestock rearing, and the income of beef cattle farmers in Palon Village, Jepon District, Blora Regency. The research method is quantitative descriptive with a survey approach. Primary data were obtained through direct observations, interviews, and questionnaires with beef cattle farmers in Palon Village and inseminators of the Food, Agriculture, Livestock, and Fisheries Office (DP4) of Blora Regency, while secondary data were obtained from DP4 and the Statistics Indonesia (BPS) of Blora Regency. Multiple linear regression and beef cattle farming analysis were used in this study. The findings show that the number of repeat breeding cases in Palon Village remains significantly high. Several factors were identified as influencing the success of artificial insemination, including female livestock characteristics, thawing and handling semen, breeder conditions, and inseminators’ skills and attitudes. Livestock health, administration of anthelmintics and vitamins, rectal palpation examination, body condition score, age of the breeder, feed, and the origin or breed of the livestock are all important characteristics of female livestock. The handling and thawing of semen were discovered to be critical factors influencing the type of straw used. Farmer conditions, which include age, education level, length of time involved in beef cattle farming, basic livelihood, and the number of owners, also play a role. Age, experience in the field, and the extent of training received were discovered to influence the success of artificial insemination. Repeated mating contributes to increased maintenance costs and the costs associated with artificial insemination in beef cattle.
The Effect of Fresh Drink Marketing Mix Strategy “Somano” on Consumer Behavior in Surabaya City
Authors: Kodariawan R , Huda S , Winarno S T , Hendrarini H 
Published: July 2024

Abstract
Mangroves can be exploited economically to provide fresh drinks with health benefits in addition to their ecological advantages. A common method to beat the competition in running a business is to use the marketing mix. The goal of this study was to examine how the marketing mix strategy for the fresh beverage brand “Somano,” whose primary ingredient is mangrove fruit, affected consumer satisfaction. 100 visitors to Surabaya’s Gununganyar mangrove forest served as the study’s sample, and SEM PLS 6.0 was utilized to evaluate the data. The study’s findings suggest that the four pillars of the marketing mix—product, price, place, and promotion—have a positive and noticeable impact on consumer behavior.
Farming performance and evaluation of the adoption of robusta coffee cultivation based on geographical indication in candiroto district temanggung regency
Authors: Anggoro T. R. , Fadillah S. N. , Prayoga K. 
Published: July 2024

Abstract
The Geographical Indication Protection Society (MPIG) aims to maintain the uniqueness of coffee commodities in Temanggung Regency by implementing predetermined standardization. The purpose of this study is to analyze the farm performance of Robusta coffee based on geographical indication and evaluate the level of farmer adoption. The research was conducted using a case study method on coffee farmers who are members of MPIG in Candiroto district and an R/C ratio analysis to illustrate how high the benefits received by farmers are in terms of acceptance if they apply geographical indication SOP. The results show that the R/C ratio of farmers who apply geographical indication SOP obtained a value of 2.50. The level of farmer adoption of geographical indication SOP in the cultivation and harvesting stages is considered high, while in the post-harvest stage, only the dry processing process has a high adoption rate. Suggestions that can be given from this research are that MPIG, as an organization that introduces geographical indication SOP, should be more persuasive in providing education to farmers about the benefits they receive if they apply geographical indication SOP. SOPs that are not relevant for farmers should be adjusted so that the level of farmer participation and adoption becomes high.