Do Entrepreneurial Marketing and Internet Marketing Impact On Business Performance? (Case Study Ornamental Plant Agribusiness in Banyumas)

The marketing system continues to develop along with the development of digital technology. Moreover, since 2020, the Covid-19 pandemic has occurred, which requires consumers to buy goods without meeting directly with the seller using digital-based commercial media. In Banyumas, purchasing agricultural products such as ornamental plants also use digital media. This study aims to determine the characteristics of ornamental plant business actors in Banyumas, analyze the achievements of entrepreneurial marketing, internet marketing, and business performance of ornamental plant businesses in Banyumas, analyze the direct and indirect effects of entrepreneurial and internet marketing on business performance of ornamental plant businesses in Banyumas. The data used are primary data using a questionnaire, and as many as 150 respondents were determined by quota sampling. The analysis results obtained that most of the ornamental plant business actors in Banyumas are men, aged 39-48 years, have an elementary school education, use rental land, and are spread across Baturraden, Sumbang, Kedungbanteng, Karanglewas Districts. The achievements on the latent variables of entrepreneurial marketing, internet marketing, and business performance are quite high, namely in the 60-80% range. Based on SEM analysis with the PLS approach (SEM-PLS), it is known that the latent variables of entrepreneurial marketing and internet marketing positively affect business performance. However, training is needed to improve internet marketing skills for ornamental plant business actors in Banyumas. Keywords: entrepreneurial, internet, business performance, ornamental plant, SEM PLS &nbsp

The Effect of Motivation, Compensation, Work Environment on Work Performance Through Job Satisfaction PT XYZ Palm Oil Company

PT XYZ Palm Oil Company faces problems related to the performance of harvest workers. This study aimed to determine the effect of Motivation, compensation, and work environment on work performance either directly or through job satisfaction at PT XYZ. Based on initial observations of Motivation, compensation, work environment, job satisfaction, and work performance, especially in oil palm harvest workers, showing a low level of Motivation, lack of appreciation given, and lack of satisfaction with the applicable compensation system, high workload, laziness at work, lack of expertise/skills, longer environmental adaptation and dissatisfaction with the applicable compensation system, so that the level of satisfaction and performance of PT XYZ is not optimal. This research design uses a quantitative descriptive method, and the population is 510 harvest workers, and the sample in this study amounted to 105 harvest worker respondents divided by proportional sampling. The data analysis method was carried out using SEM-PLS with the SmartPLS 3.0 application. The results showed that Motivation, compensation, and work environment positively and significantly affected work performance through job satisfaction. Based on the results of the study, it can be concluded that the level of influence of compensation is the most significant influence, followed by the influence of the work environment and work Motivation, so that the increasing level of job satisfaction, the higher the level of work performance of harvest workers. Keywords: work compensation, work motivation, palm oil, work environment, work performanc

Factors Affecting Online Purchasing Of Local Food

The purpose of this research are to analyze which factors can influence Indonesia’s consumer intention to buy local food by online and whether the intention can affect to purchasing decision or not. This research used Partial Least Square (PLS) as data analysis with significance level 5%. There are several requirements to fulfil the criteria of data anlaysis, they are convergent validity, discriminant validity, and composite reliability. The result is all of three requirement is achieved. Bootstrapping analysis was used to examine the significance and verify the hypotheses. There were five independent variables and two dependent variables. The independent variables were perceived usefulness, perceived ease of use, perceived trust, perceived risk, and perceived price. The dependent variables were intention to buy and purchasing decision. There are two variables which are significance towards intention to buy, they are perceived risk and perceived price. Perceived risk is significance and consistent with the theory which has negative effect towards intention to buy, while perceived price is significance and has positive effect towards intention to buy. Perceived usefulness, perceived ease of use, and perceived trust are not significant toward intention to buy. Variables intention to buy is intervention variable which affect significantly towards purchasing decision. R-square score for intention to buy is 30.5% while r-square score for purchasing decision is 25.9%

Technical Efficency Of Soybean In Pandeglang Regency

Pandeglang district is the largest soybean producer region in Banten province. Since the last four years, Pandeglang Regency has decreased land area and production. However, the amount of soybean productivity has increased. The ability of farmers to manage and allocate various inputs used in soybean farming affects the production and productivity of soybean and can give an idea of the level of efficiency achieved by farmers. So it is necessary to research whether the application or use of inputs in the process of soybean production has been at technically efficient level or not. Based on these conditions, in this study aims to: know the level of technical efficiency in soybean farming in Pandeglang regency. The basic method used in this research is descriptive method and the location of research is determined intentionally or purposive sampling. Sample selection for soybean farmer respondents was done by simple random sampling method of 77 soybean farmers. The result of the research shows that production factors that significantly affecting soybean production in Pandeglang are wide, fertilizer and insecticide. The average value of farmers' technical efficiency is 0.864. This figure indicates that the average farmers of respondents have reached technical efficiency in soybean production in the research area. the technical efficiency value of the stochastic function with the lowest value 0.6314 and the highest value 0.9599. Factors affecting technical inefficiency are age and training. However, these factors have a positive effect, meaning that both increase the level of technical inefficiency of soybean farming

Performance Evaluation and Optimum Portfolio Allocation for Stocks of Agribusiness and Non-Agribusiness Companies in ILQ45

Investors need fundamental aspects to allocate their fund in a set of efficient portfolio to maximize their yield. One of many fundamental aspecs is risk and return stocks price analysis. There were some agribusniness companies and non-agribusiness companies listed in ILQ45. This study was aimed to know stock performance of agribusiness companies compared with non-agribusiness companies which were listed in Index Liquid 45 in Indonesia Stock Exchange and to allocate optimum portfolio with cut off point method and randomly designed methode. Data of monthly from August 2011-December 2015 was used in this study. The result showed that range of return of agribusiness companies was -13.24% up to 20.098% and non-agribusiness was 49.50% up to 10.39%. Range of standard deviation for agribusiness companies was 6.43%-14.36% and 5.87-15.54% for non-agribusiness. Range of positive coefficient of variance (CV) for agribusiness was 3.59-18.61 and 5.47-59.19. Optimum portfolio formed by Unilever Indonesia (61.27%), Indofood ICBP (32.27%), BCA (3.81%), and BRI (2.65%). Return of optimum portfolio was 21.77% year on year and it was the highest return among portofolios which were formed randomly

Supply Response Analysis Of Paddy In Kediri : Managerial Implications

Research of farmer’s response analysis to price is important to increase paddy production in Kediri. Farmers are conducted as the object of the research because they are the decision maker on all of farming activities. This study is aimed to know the effect of harvest area response, productivity response, supply response paddy, and managerial implications in Kediri. The analysis method used the Nerlove approach through harvest area response and productivity response. Data were collected annually from 1992 to 2015. The result showed  that harvest area in previous year was the significant factor to the harvest area. Grain price, fertilizer price index, rainfall, harvest area in previous 2 years and 3 years had no significant effect. Factors which had significant impact for the productivity were grain price and productivity in the previous year, but fertilizer price index, harvest area, and rainfall had no significant effect. Paddy supply-elasticity in short term and long term was inelastic so that supply paddy was unresponsive on grain price changing. Managerial implication formulation consists of procedural implications and policy implications. Procedural implications included the use of a transplanter, jajar legowo system, use of fertilizer in 6 right-ways completed with a demonstration plot. The policy implication is was composed by price and non-price policies. Price policies were showed by costs of good sold which was supported by coopertaion between farmers and BULOG and the use of combine harvester. Non-price policies were embodied with the increasing of cropping index and wetland transformation into settlements

Technical Efficiency Of Smallholders Of Oil Palm Cultivation In Ogan Komering Ilir

This study aims to (1) identify the factors affecting the production of oil palm cultivation business by the smallholders and (2) identify the technical level as well as factors influencing business inefficiency of oil palm cultivation by the smallholders  in Air Sugihan Sub District of Ogan Komering Ilir Regency, South Sumatera Province.  This research uses the  basic method of analytical descriptive method.  The data were collected by way of observation and direct interviews in the field guided by a questionnaire.  The research location was determined purposively, that is in Pangkalan Damai Village, Air Sugihan Sub-district, Ogan Komering Ilir Municipality, South Sumatera Province. Sampling was conducted using non probabilistic sampling method (purposive sampling).  The research investigated 79 smallholder farmers of oil palm cultivation in Pangkalan Damai village of Air Sugihan Sub-district, Ogan Komering Ilir Municipality, South Sumatera Province.  On the basis of the analysis, it is revealed  that (1) the factors affecting the increase of palm production were labor, land area, TSP fertilizer, NPK fertilizer, organic fertilizer, herbicides and insecticides which also have an effect on decreasing  palm production. (2) Palm plantation business was technically efficient with the average technical level of smallholder palm farmers in Air Sugihan Sub-district of Ogan Komering Ilir Municipality of 0.86090.  Factors that decrease the technical inefficiency in smallholder palm cultivation in Air Sugihan Sub-district of Ogan Komering Ilir Regency were farmers’ education level.  This information can be used by the goverment to improve technical efficiency through education in the form of counseling and training to increase production

Characteristics and Preferences of Chicken Meat Consumers before and during Covid-19 Pandemic in Sleman Regency

People purchase and consume poultry meat to fulfill their animal protein needs. In early 2020, COVID-19 spread globally as well as in Indonesia that changes the social and economic conditions, which further affect people’s behavior in purchasing chicken meat. There are two types of this meat—broiler and free-range chicken—with different characteristics (attributes) that affect consumer preference. Consumers can choose chicken meat according to their needs and desires by considering its attributes. This study aims to determine chicken meat consumers' characteristics before and during the COVID-19 pandemic and determine the differences in consumer preferences for broilers and free-range chickens. The research was conducted in Sleman Regency from April to May 2020. The primary data collected through an electronic form from 100 respondents chosen by random sampling. The descriptive analysis examines chicken meat characteristics, and the Fishbein Multi-attribute determines consumer preference for chicken meat. The results showed that consumers continued to buy chicken meat during the COVID-19 pandemic but changed the amount of purchase and the purchase location. Two main attributes affecting consumer preferences, both for broilers and free-range chickens, are the aroma and freshness. The third attribute affecting consumer preference for broilers is the meat color, while in free-range chicken, it's the halal status

GAMBARAN UMUM SEKTOR UNGGULAN DAN KONTRIBUSI SEKTOR PERTANIAN DI PROVINSI JAWA TIMUR (OLAH DATA TABEL INPUT-OUTPUT PROVINSI JAWA TIMUR TAHUN 2010)

Pembangunan daerah dilakukan dengan memaksimalkan potensi sumber daya yang ada di suatu daerah. Karena sebagian besar penduduk Indonesia adalah petani, maka penting untuk mengetahui kontribusi sektor pertanian terhadap perekonomian suatu daerah. Makalah ini bertujuan untuk mengetahui kontribusi sektor pertanian terhadap multiplier output, pengganda pendapatan, dan pengganda tenaga kerja. Metode yang digunakan dalam penelitian ini adalah Analisis Input Output yang diperoleh dari Badan Pusat Statistik Provinsi Jawa Timur Tahun 2010. Hasil penelitian menunjukkan bahwa komoditas tebu berada pada kuadran II, Dari keseluruhan data di atas maka dapat disimpulkan bahwa (1) Komoditas tebu dapat mendorong berkembangnya industri gula di Jawa Timur, (2) di sektor peternakan, subsektor yang dapat dikembangkan adalah pakan ternak, pemotongan hewan, sapi, kambing dan domba, serta ayam (3) di sektor pengolahan subsektor pengolahan es krim, beras, dan penggilingan padi serta rokok. ABSTRACTLocal development is held by maximizing potential resources in a particular region. In addition, most of Indonesian people are farmers so it’s important to identify the agriculural contribution in local economic. The aim of this study are to study the contribution of agriculture  in ouput multiplier, income multiplier, and employment multiplier. The method which was used in this research was input-output analysis based on Badan Pusat Statistik East Java Province’s data in 2010. From the analysis, we can conclude that the sugarcane was formed in the second quadrant, in which (1)sugarcane comodity promoted the sugar industry in East Java Province (2) in livestock subsector, the woof of livestock industry, animals truncation, sheeps, goats, and chicken husbandry (poultry) were potentially to be developed (3) in processing subsector which was based on agriculture product, ice cream and processing, rice milling and cigarette were potentially to be developed.

Analysis Competitiveness of Sugarcane Farming in Central Java and East Java

This study aims to determine the competitiveness of sugarcane farming in Central Java and East Java based on comparative advantage (DRCR) and competitive advantage (PCR). The method used was the Policy Analysis Matrix (PAM). The result in Central Java explained that the sugarcane farming do not have comparative advantage but have competitive advantage. It is indicated by the value of Domestic Resource Cost Ratio DRCR>1 which is 1.23 and the value of Private Cost Ratio PCR1 which is 1.05 and the value of PCR<1 which is 0.56. Partial test was conducted to find out how many respondents in each region in Central Java and East Java that have competitiveness sugarcane farming. Based on the partial test of each respondent in Central Java, about 51.67%, 45.00% and 3.33% of respondents are categorized as very competitive, medium competitiveness and very low competitive respectively. Meanwhile, in East Java Province, there are 25.00% of respondents with very high competitiveness, 65.00% medium competitiveness and 10.00% very low competitive