Rice Commodities Research Articles

Optimization of Digital Marketing in Improving Marketing Performance

In the evolving era of digitalization, Majelis Ekonomi Perserikatan Muhammadiyah Sidenreng Rappang faces significant challenges in optimizing the utilization of its assets and adopting digital technology in its marketing strategies. This research aims to identify and develop effective digital marketing strategies to optimize the management of the organization’s assets, including rice commodities. Using a SWOT analysis, this study identifies the strengths, weaknesses, opportunities, and threats faced by the organization. The SWOT analysis results in 12 alternative strategies, which are then evaluated using the Quantitative Strategic Planning Matrix (QSPM) to determine the priority strategies. The research findings indicate that the primary strategies Majelis Ekonomi Perserikatan Muhammadiyah Sidenreng Rappang should adopt are leveraging community connections to increase internet usage and digital marketing for rice commodities, optimizing community connections to build competitive advantages, and collaborating with local businesses to overcome resource limitations. These findings position the organization in Quadrant 1 of the strategy matrix, supporting the implementation of aggressive strategies to maximize opportunities and address existing challenges. This research provides valuable insights for the organization in designing and implementing effective digital marketing strategies to achieve its economic and social objectives.

FACTORS EFFECTING PADDY PRODUCTIVITY IN THE MADA REGIONS, MALAYSIA

Rice commodity is becoming increasingly important for most countries worldwide, particularly those where rice is the main staple meal. This study examines the socioeconomic attributes of farmers, their perspectives on management practises, and the implementation of paddy machinery technology in the four MADA (Muda Agricultural Development Authority) regions in Malaysia. The study aims to determine the main factors effecting paddy productivity in the MADA regions. Primary data was collected from paddy farmers in the four MADA zones using a standardised questionnaire. The data was collected from 673 respondents from four regions of MADA. The analysis employed both descriptive statistics and regression analysis. The results indicate that variables such as land area, selection of paddy planting as the primary occupation, increased time spent on paddy farms, gender, and the educational background of farmers have a significant impact on paddy productivity in the MADA regions. The findings also show that, only a small percentage of respondents (6.2%) followed the crop schedule, and 93.8 percent of them were late. The utilisation of machinery in paddy cultivation achieved the following results: nine farmers achieved a success rate of 85.71 percent, while a majority of farmers (662 farmers) achieved a 71.43 percent utilisation rate, with one farmer earning the lowest usage rate of 57.14 percent. In conclusions the study has found that it is imperative to promote the use of management practises and advanced machinery technologies among paddy farmers to effectively increase productivity.

Data Mining Forecasting Methods for Predicting the Availability of Sustainable Rice Commodities in Bali Province

This research aims to prepare the capacity of local governments to provide sufficient strategic food production, especially rice, which is the commodity most consumed by the people of Gianyar Regency every year. This research is descriptive research with a quantitative approach. The data used in the analysis is secondary data in the form of rice production data (tons), rice production (tons), harvested area (ha), public consumption of rice commodities (kg) and population (people) from 2018 to 2022. obtained from the Central Statistics Agency (BPS) and the Bali Province Agriculture and Food Security Service. The results of this research show that the forecasting method using the Backpropagation algorithm can be used to provide an approach to forecasting rice harvest area, rice production, rice production, community consumption levels, and population in 2023 and 2024 in Gianyar Regency. The Backpropagation architectural design uses 12 input layers, 10 hidden layers, and 1 output with Mean Absolute Percentage Error (MAPE) results of 0.22 and Mean Absolute Deviation (MAD) of 339 with a very good forecasting category. The average ratio of normative per capita consumption to food availability, especially rice commodities in Gianyar Regency in 2023 will experience a high deficit condition with a Cnorm Ratio value (z) = 1.52 and in 2024 will experience a high deficit condition with a Cnorm Ratio value (z) = 1.57. The forecasting method using the Backpropagation Algorithm can still be developed by focusing on each district by calculating the overall food commodities in that district.

STATUS OF SUSTAINABILITY OF ORGANIC RICE COMMODITIES AS RURAL ECONOMIC POTENTIAL IN BONDOWOSO REGENCY

The complexity of organic farming system problems starts from the increasingly scarce availability of land resources, farmers' business capital which is still very limited and marketing access and the organic rice market chain, population growth continues to increase every year and the low quality of community resources, and knowledge in the application of technology and quality standardization will impact on the sustainability of organic rice commodities. The aim of this research is to analyze the sustainability status of organic rice commodities in terms of ecological, economic and social dimensions. The analytical method used in this research is Rapfish which is modified into RAP-Organic rice using the Multidimensional scaling method. The results of research on the multi-dimensional sustainability status of organic rice commodities including ecological, economic, social and infrastructure & technology dimensions show that organic rice commodities have a fairly sustainable index value with an index value of 73.58, meaning that with this index value all dimensions include: ecological dimension, economic, social and infrastructure & technology influence the sustainability status of organic rice commodities. The implication of the analysis results is that the Regional Government needs to increase attention to organic rice farmer groups regarding the importance of organic rice businesses by making special policies for the development of organic rice businesses to continue to increase the sustainability of organic rice commodities.

Sulfuryl fluoride safe dosage test to mortality of Tribolium castaneum Herbst on corn and rice flour commodities in warehouse

Abstract This study aims to examine the level of pest mortality of Tribolium castaneum on corn flour and rice commodities using SF exposure with different concentrations. This study used a factorial Completely Randomized Design (CRD) method. The materials used in this study were SF, fumigation equipments, corn flour and rice commodities. Observation variables include identification, mortality calculations, temperature and humidity calculations. Treatment types of SF doses were (1) 0 g/m3, (2) 10 g/m3, (3) 15 g/m3, (4) 21 g/m3, and (5) 30 g/m3 with each treatment combination was repeated two times. The data obtained were analyzed descriptively and statistically using the ANOVA and follow-up tests using the Least Significant Difference (LSD) test at the 5% level. Research innovation using a variety of food safe doses of SF to make the highest mortality from T. castaneum. The results show that there is a significant difference, the highest mortality was in the SF doses of 21 g/m3 and 30 g/m3 on corn and rice flour commodities. The effective dose of sulfuryl fluoride is 21 g/m3 with the highest death rate. This research can be used as a recommendation for pest control using effective and efficient doses of SF in controlling T. castaneum.

Analysis of production projections and factors that correlated with rice production in Indonesia

Introduction: Meeting rice needs is largely determined by the level of domestic rice production. However, the various dynamics that occur provide encouragement to provide an overview of the conditions for meeting food needs, namely in the form of rice, based on trends in rice production and how independent variables correlate with rice production. The aim of this research is to determine the projected rice production for 2023-2032 and determine the strength of the relationship between the dependent variable (rice production) and the independent variables in the form of harvested area, price of harvested dry grain, price of urea fertilizer and price. Methods: namely a quantitative descriptive method with secondary time series data from 1993-2022. Data analysis techniques for forecasting studies are by using Autoregressive Integrated Moving Average (ARIMA) analysis. Meanwhile, in the correlation analysis of rice production using the Pearson correlation. Results: Projections for rice commodity production in Indonesia from 2023 to 2032 using the MA1 model show a positive trend. Analysis of the relationship between the independent variable and the dependent variable, namely harvest area (X1), rice price (X2), urea fertilizer price (X3), and price of other food commodities, namely corn (X4) shows a significant positive relationship with rice production in Indonesia. Conclusion: Projections for rice commodity production in Indonesia from 2023 to 2032, which were analyzed using the MA 1 model, obtained data with a positive trend which states that based on past data, Indonesian rice production will continue to increase every year in line with domestic food needs.

Manajemen Rantai Pasok Produk Beras di Penggilingan Padi Sumber Baru Kecamatan Sidoarjo, Kabupaten Sidoarjo

Research Objectives 1) To analyze the institutions and supply chain members of the rice commodity in the New Sumber Padi Mill; 2) Analyze the supply chain management of rice commodities at the New Sumber Padi Mill; 3) Analyze supply chain trading margins and value chain analysis at the New Source Rice Mill. The analytical method used is descriptive qualitative analysis, quantitative descriptive analysis, and qualitative design. The institutions and supply chain members involved in the rice supply chain at the Sumber Baru Rice Mill are farmers, middlemen, rice millers, retailers, and consumers. The supply chain channel pattern has three supply chain channel patterns. The product flow occurs from farmers selling grain to rice in the hands of consumers. The financial flow of the two-channel patterns is equally profitable. Then the information flow occurs because each has a two-way flow of information between institutions and supply chain members. The trading system margin for each trading system channel is different. The highest added value is in the rice mill.

Market Intervention Policy in The Case of Rising Rice Prices in Indonesia From The Perspective of Ibn Taimiyah

Rice is an important commodity and is needed by the wider community, its existence is vital as a means to fulfil the needs of life, therefore the Indonesian government's intervention in this commodity is very high. The price of rice in Indonesia continues to rise for many factors. This research employs qualitative methods which is called library research. The result of this study is the increase in rice prices in Indonesia according to Ibn Taymiyyah is entirely caused by market forces. According to Ibn Taymiyyah what is needed therefore is market intervention, instead of price intervention. The market intervention carried out by the Indonesian government is by intensifying the social assistance program, running market operations with the SPHP program, and strengthening the stock of government rice reserves (CBP). Meanwhile, the policy of setting the price ceiling should not be carried out by the government because the market conditions related to this rice commodity run perfectly and there is no market distortion.

A comparative study of grain quality and physicochemical properties of premium japonica rice from three typical production regions.

Grain quality indicates rice commodity value. This research compared grain quality and physicochemical properties of premium japonica rice from three production regions, Yangtze River downstream of China (YRDCN), Northeast region of China (NECN) and Japan. Results showed that there were distinct quality and physicochemical characteristics variance among the three groups of japonica rice, while CVs of most quality parameters from low to high was Japan, YRDCN and NECN. YRDCN rice presented obvious lower apparent amylose content (AAC) and ratio of each chain-length sections of amylopectin, and showed higher protein contents especially glutelin and ratio in short and intermediate amylopectin molecules. Among three rice groups, YRDCN rice presented weaker appearance, whereas did not show inferior cooking and eating properties, which was primarily linked to lower AAC. Rice AAC and starch fine structure significantly correlated with pasting parameters, swelling power and solubility, while protein content had close relation with taste analyzer parameters. Results of this study indicated improvement direction for japonica rice of YRDCN, and also provided reference for consumers' rice purchasing selection in accordance with individual taste preference.

Pengaruh Pengadaan Beras dan Operasi Pasar Oleh Perum Bulog Terhadap Stabilitas Harga Beras di Provinsi Aceh

The rice commodity plays an important role as a staple food product throughout the world, especially in Indonesia where the majority of the population consumes rice. This research aims to analyze the influence of rice procurement and operations carried out by Perum Bulog on the stability of rice prices in Aceh Province. The scope of this research is the Aceh province Bulog company which consists of 23 districts/cities. This research data uses quantitative data in the form of annual data. Data collection observations began in 2013 until 2022. The data used as the basis for this research is secondary data obtained from the Aceh Province BPS publication entitled Aceh in Figures in various editions. The analytical model used in this research is multiple linear regression. Procurement of rice is an important part of maintaining food security and ensuring the availability of sufficient staple food for the community. The amount of rice supply for market operations is also influenced by the large stock of rice available in the Government Rice Reserve (CBP) which is managed by Perum Bulog. The research results show that rice procurement and market operations have a significant influence on rice price stability and the success of the Government, in this case Perum Bulog, in maintaining price stability. This research proves that Bulog plays an effective role in maintaining rice price stability through rice procurement policies and market operations.

ARTICLE REVIEW: The Influence Of Climate Change On Rice Production And Cultivation Patterns In Indonesia

Climate change is marked by deviations in the conditions of several climate elements, whose intensity tends to change and deviate from dynamics and average conditions towards a certain direction (increasing or decreasing), whether occurring naturally or potentially occurring more rapidly due to human activities. Climate change is the biggest threat to agrarian countries in the world, including Indonesia. Agriculture is a part of national food security, so climate change will impact production stability because plant growth and development activities heavily rely on climatic conditions. El Nino is estimated to affect harvest yields on at least 25% of global agricultural land. Characteristics of El Nino, such as its intensity, will result in the severity level of global climate impacts. Based on the conducted review, it is understood that climate change indeed significantly influences many aspects, particularly in the field of agriculture (specifically the rice commodity). The impacts of reduced production and changes in rice planting patterns have been felt in various regions of Indonesia.

Dampak Pandemi Covid-19 Terhadap Volume Ekspor Dan Impor Beras Di Indonesia

This research aims to see the influence of the Covid-19 pandemic on the volume of exports and imports of Indonesian rice commodities compared to the period before the Covid-19 pandemic using data for three years before the Covid-19 pandemic was officially announced in Indonesia. This research uses a library study method by using data collected and then studying and reading several library sources via electronic media. The library sources used in this paper are scientific journals and secondary sources in the form of data that has been processed by government agencies. The results of this research show that there was a decrease in the average volume of exports and imports of Indonesian rice commodities during the Covid-19 pandemic which was caused by restrictions on the mobility of goods and services entering from abroad as part of the implementation of health protocols.

Analisis Pemasaran Beras Organik di Provinsi Sumatera Barat

Rice is one of the leading commodities for organic products, organic rice commodities are one of the widely consumed organic products. West Sumatra Province is one of the regions that have the largest organic rice land in Indonesia. The development of Organic Agriculture has become a policy of the West Sumatra Provincial Government since 2006. There are several problems in marketing organic rice, namely the lack of market access by farmers so that only a small portion of the harvest of organic rice farmers is absorbed as the final product of organic rice and the product is sold at the price of conventional rice. The purpose of this research was to determine and analyze the marketing efficiency and marketing operations (margin, farmer's share, and profit ratio) of organic rice in West Sumatra. The research location is decided by purposive method. To find farmer respondents using purposive sampling and trader respondents using snowball sampling. Qualitative descriptive analysis is used to analyze organic rice marketing channels. Meanwhile, quantitative descriptive is used to measure the marketing efficiency of organic rice using marketing margin analysis, and farmer's share. The results showed that organic rice marketing in West Sumatra consists of 4 marketing channels, which involve five marketing institutions, namely intermediary traders, large traders, city farmers, small-scale retailers, and large-scale retailers (supermarkets). Farmers - intermediary traders - wholesalers - small-scale retailers (channel 2) is the channel pattern chosen by most farmers which are 50%. The most efficient channel pattern is channel 4 because it is the shortest channel with the lowest margin of Rp. 5,500 and the highest farmer's share value of 50%.

ANALISIS KOMODITAS UNGGULAN SUBSEKTOR TANAMAN PANGAN DI KABUPATEN KUPANG PERIODE 2016-2020

One characteristic of a region is the availability of natural resources, so the development of natural resources becomes a reference for activities in the various sub-sectors of the area concerned. To find out the food crop sub-sector from existing natural resources, an in-depth study of the leading commodities is needed. This research was conducted in Kupang Regency, from September to October 2022. The research objectives were: 1) To find out the leading commodities of the staple food crop sub-sector in Kupang Regency, 2) To find out the growth and competitiveness of staple food crops in the economy in Kupang Regency. This study used a quantitative approach using secondary data from the Central Statistics Agency (BPS) of Kupang Regency for the 2016-2022 period which consisted of production data from 7 Staple Food Crop Commodities namely rice, corn, soybeans, peanuts, green beans, cassava and cassava. jalar in 24 districts. The analytical method used is Dynamic Location Quotient (DLQ) analysis and Shift Share (SSA) analysis. The results of the study show that the leading commodities in Kupang Regency are rice, sweet potatoes and soybeans where these commodities have a progressive growth rate and are competitive. Rice commodity is a commodity that has a progressive growth rate and has good competitiveness in almost all sub-districts in Kupang Regency, Sweet potato commodity itself is a commodity that has a progressive growth rate and good competitiveness because it is supported by sufficient irrigation channels. both in Kupang Regency so that many Sweet Potatoes are cultivated. While the soybean commodity is a commodity that is mostly produced in Kupang Regency because dry land agriculture dominates the area with limited rainfall. For Commodities Corn, Peanuts, Green Beans, Cassava are also the leading Commodities in just a few Districts.

ANALYSIS OF THE ADOPTION LEVEL OF INTEGRATED CROP MANAGEMENT FOR RICE COMMODITIES IN THE SESAYAP DISTRICT

Over the last three years, Paddy rice production in Tana Tidung Regency has been approximately 500-700 tons. This production is considered low, even when compared to rice production in other regencies located in North Kalimantan Province. One of the factors supporting high production is the crop management system used by farmers. This research aims to analyse the level of adoption of Integrated Crop Management (ICM) in the paddy rice commodity in the Sesayap District. ICM is an innovative approach in agriculture aimed at reducing the use of chemical pesticides and promoting sustainable pest and disease control. This study was conducted to understand the extent to which farmers in Sesayap District have adopted ICM technology in paddy rice cultivation and the factors influencing this adoption. The research method was a structured questionnaire survey from a sample of paddy rice farmers in the Sesayap District. The sample was selected using the purposive sampling method, with the criteria that they are part of farmer groups and actively cultivate paddy rice. The total number of respondents obtained was 57 individuals. The primary data collected were then described to illustrate the level of ICM adoption and the influencing factors. The results of this research indicate that the level of ICM adoption in the paddy rice commodity in Sesayap District is at 105, categorising it as moderate. Significant factors influencing the adoption level include farmers' level of education, knowledge about ICM, accessibility to information sources and training on ICM, the availability of institutional support, and farmers' perception of the benefits and effectiveness of ICM in increasing productivity and reducing production costs.

Formation of resistant starch and cracker products from leftover rice in Saudi Arabia

Food leftovers are a worldwide concern and the Food and Agriculture Organization reported about 400 billion USD worth of food is wasted yearly. In the Kingdom of Saudi Arabia, food waste is increasing; the loss is about 33.6% of the rice commodity only. To achieve sustainable development goals including zero hunger and sustainable consumption, the current investigation aimed to study the recycling possibilities of rice leftovers through the production of resistant starch (a nutraceutical active component). Proximate analysis, in vitro digestibility (rapidly, slowly, and resistant starches), and conformational techniques (SEM, FTIR, and DSC) were accomplished before and after treating heated or not samples with acetic, citric, and tartaric acids. Also, crackers were produced from rice starch and its sensory evaluations were completed. Results reported variations in starch content between the controls and acid treatments, but interestingly, amounts of protein, and fiber were not different. The highest production of resistant starch (more than 35%) was when treated with tartaric acid and heat treatment, followed by citric acid and heat treatment (32.5%), then acetic acid and heat treatment (28%). The FTIR pictograms revealed the acetylation of heat and acid-treated rice samples. The gelatinization enthalpy (ΔH) decreased from 10.51 to 7.81 J/g for control and treated rice by acetic acid without heat. Surprisingly, the panelists reported no differences in the sensory evaluations of crackers produced from treated rice with a high content of resistant starch, which considered as functional food. These findings help achieve food sustainability through commercial-scale functional food production.

The Role of the Association of Farmers Groups (Gapoktan) through the Cooperative Farming Model in advancing the Economy of Rural Communities

The purpose of this study is to describe the role of Gapoktan through the Cooperative Farming Model in Karang Indah Village, Mandastana District, Barito District, Kuala Kalimantan. Describe the Gapoktan Karang Indah Program in advancing the community's economy, describing. Describe the impact of the Gapoktan program through cooperative farming. This type of research is qualitative research with a description approach. Research Instruments with Quantitative data through self-researchers (Human Instruments). Sources of data through interviews, observations and documentation. Qualitative data analysis consists of data reduction, data display and drawing conclusions. The validity of the data through triangulation. The results showed that (1) the Cooperative Farming Model plays a role in the management of rice entrepreneurs in expediting the distribution of rice commodities and encouraging the development of sustainable agricultural development. (2) The Gapoktan program in Karang Indah for rice farmers consists of socialization, partnership programs (government and private), and entrepreneurial agriculture-based training. (3) Gapoktan through the Cooperative Farming Model has a real impact on increasing rice farmer household income with the help of capital and financing. The use of the Cooperative Farming Model has a positive and significant impact in terms of the pattern of economic life of the Karang Indah village community.

ANALISIS RISIKO PRODUKSI USAHATANI PADI SAWAH DI DESA SUNGAI BADAK KECAMATAN MESUJI KABUPATEN MESUJI

<p><em>Rice is a staple food source for the Indonesian population. Rice commodity is an agricultural commodity that has a high enough risk and poses a threat to the welfare of rice farmers. The Badak river village is one of the villages that has superior agricultural commodities in Mesuji Regency in the form of rice plants. This research aims to identify the sources of risk faced by farmers in Sungai Badak Village, Mesuji District, Mesuji Regency and analyze the magnitude of the risk impact. The results of the analysis showed that the main sources of risk during planting season 1 were Plant Pest Organisms (OPT) and plant diseases, while the main risk sources in planting season 2 were weather / climate factors. Meanwhile, using the Z-Score shows a risk probability of 30 percent in planting season 1 and 26 percent in planting season 2, while the analysis using the VaR method, the resulting risk impact in planting season 1 is IDR 3,646,801 per hectare, while the risk impact on planting season 2 amounting to IDR 4,030,634, - per hectare.</em></p>

Perpindahan Tenaga Kerja Non Pertanian Ke Tenaga Kerja Pertanian Pada Masa Pandemi Covid-19 Di Desa Woloan II Kota Tomohon

The purpose of the study was to determine the transfer of non-agricultural labor to agricultural labor during the Covid-19 pandemic in Woloan II Village, Tomohon City. The research lasted for three months from August to October 2022. The research was conducted in Woloan II Village, West Tomohon Sub-district. The data collected included primary data obtained through interviews using questionnaires, to labor respondents who moved from the non-agricultural sector to the agricultural sector during the Covid-19 pandemic. Secondary data were collected through research reports through the internet, journals, and other information related to the research. The sample in this study is workers in Woloan II Village, Tomohon City who have moved from the non-agricultural sector to the agricultural sector during the Covid-19 pandemic. Data were collected using purposive sampling with a sample of 15 respondents. The data is presented in a table and then described descriptively. The results of the research on the transfer of non-agricultural labor to agricultural labor in Woloan II Village, West Tomohon Subdistrict during the Covid-19 pandemic showed that the transfer to the agricultural sector with the rice commodity received a percentage of 46.67 percent and the second largest was the cabbage commodity of 40.00 percent and for the corn commodity had a percentage of 13.33 percent.

PERBANDINGAN LSTM DAN ELM DALAM MEMPREDIKSI HARGA PANGAN KOTA TASIKMALAYA

Humans have needs that must be met, one of which is the need for food, but food prices often change. Factors that affect price changes occur because the amount of demand is high while the supply is small. Making predictions about price changes will be very helpful to get an idea of the pattern of price changes. Therefore making predictions from price patterns is useful for providing information to the public. Predictions regarding price changes can be made using many methods. Long Short-Term Memory (LSTM) and Extreme Learning Machine (ELM) are several methods that can be used to predict time series data, these two methods can provide an overview of the predictions made. The results of the study show that both algorithms have good results in terms of the the evaluation value. The evaluation results showed no significant difference between the two algorithms. The evaluation value of the rice commodity showed that ELM tended to be better with MAE values of 6,721, MAPE 0.061%, MSE 115,281, RMSE 10,737 and CV 3,699%, while LSTM with MAE 31,707, MAPE 0.286%, MSE 1927.633, RMSE 43.905 and CV 3.655%. However, for other commodities, LSTM can produce a better evaluation value.