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Analisis risiko Rantai Pasok Crude Palm Oil Menggunakan Metode House of Risk (Studi Kasus di PTPN IV Regional II Pagar Merbau)
Get PDFThis study aimed to analyze the level of risk, risk events and risk agents, and risk mitigation strategies for the CPO supply chain at PTPN IV Regional II Pagar Merbau, Pagar Merbau District, Deli Serdang Regency, North Sumatra Province. This research was conducted from September 23 to October 18, 2024, at the Pagar Merbau Palm Oil Mill KSO PTPN IV Regional II Pagar Merbau II Village, Pagar Merbau District, Deli Serdang Regency, North Sumatra Province. The research method used in this study was a case study with quantitative descriptive analysis. The coefficient of variation (CV) method was used to measure the level of production risk. The SCOR method was used to describe the basic supply chain process of CPO products. The HOR phase 1 method was used to identify and assess risk events and risk agents. The HOR phase 2 method was used for risk evaluation and for analyzing mitigation strategies for CPO supply chain risk agents that had been prioritized. The results showed that the level of risk, based on the coefficient of variation for production quantity, was classified as very high at 28.67%. The results of risk identification revealed 17 risk events, 16 risk agents, and 7 priority risk agents with the highest ARP values that needed to be handled improper production target planning (A1), lack of accuracy in human resources (A2), uncertainty in the yield of FFB in the core plantation (A3), non-routine maintenance and untimely overhaul implementation (A10), damaged core roads in the plantation that disrupted FFB delivery (A4), excessive use of shells as fuel (A11), and leakage of stewing equipment due to worn liners (A8). The results identified 8 mitigation strategies to reduce 7 priority risk agents was reviewing the production target plan (PA1), improving roads to facilitate FFB delivery (PA5), enhancing the supervision system and job training for human resources (PA2), conducting regular maintenance audits (PA4), increasing FFB purchases from third parties (PA3), performing routine inspections and minor repairs to maintain machine conditions (PA6), backing up spare parts (PA7), and periodically replacing stew liners (PA2)
Motivasi Perajin Gula Kelapa Cetak di Desa Pageraji Kecamatan Cilongok Kabupaten Banyumas
Get PDFPageraji Village in Cilongok Sub-district was the center of coconut sugar production in Banyumas Regency. The mould coconut sugar industry in Pageraji Village was facing a decline in the number of penderes due to the high risk of accidents and low income that does not meet the District Minimum Wage (UMK). However, crafters continue to run their businesses due to economic pressure and motivation to fulfill their needs. This study aims to 1) analyze the driving and inhibiting factors of crafters in running a moulded coconut sugar business, and 2) determine the closeness of the relationship between internal and external factors that influence the motivation of crafters in Pageraji Village. The research was conducted using a survey method in Pageraji Village, Cilongok District, Banyumas Regency. The focus of this study was to examine the motivation of moulded coconut sugar crafters in Pageraji Village. Respondents were selected through simple random sampling, resulting in a sample of 119 individuals. The data were analyzed using instrument testing, descriptive analysis, likert scale, and spearman rank correlation analysis. The results show that income, market security, and business continuity are the main motivating factors for moulded coconut sugar crafters in Pageraji Village running their businesses. There are no inhibiting factors that are considered to hinder the moulded coconut sugar business activities, only the risk factor of the crafters when extracting sap and the attachment of the crafters to middlemen, which are considered neutral as inhibiting factors. Family dependents and market security have the strongest correlation with the motivation of moulded coconut sugar crafters in Pageraji Village (correlation coefficient of 0.98), followed by age and risk (0.76), and income and business continuity (0.52)
Studi Korelasi dan Regresi Antara Jumlah Pakan Terhadap Produksi Ikan Bandeng di Desa Kendalkemlagi Kecamatan Karanggeneng Kabupaten Lamongan
Get PDFMilkfish (Chanos chanos) is a fishery product that is one of the leading commodities in Lamongan Regency, and ranks fourth in its production in East Java after Sumenep, Gresik and Sidoarjo Regencies. This study examines the correlation and regression studies between the amount of feed and milkfish production in Kendalkemlagi Village, with the hope that it can be a basis for supporting the sustainability of milkfish cultivation and improving the welfare of farmers through increasing optimal production results. This study is a quantitative study with a purposive sample method in selecting its samples, and the calculation analysis used is correlation and regression analysis. The results of the study obtained a correlation value of 0.994 indicating a very strong and positive relationship between variable X (amount of feed) and variable Y (milkfish production), meaning that the more feed given, the higher the milkfish production. With a t-count value of 18.17 which is much greater than the t-table of 2.776 (df = 4, ɑ = 0.05, two-way), then H0 is rejected, this means that the relationship between the amount of feed and milkfish production is significant. Then, from the linear regression equation Y = −191.33+0.71x, it means that an increase in the amount of feed will be followed by a proportional increase in milkfish production, so that there is an influence between the two
Analisis Pendapatan Petani Jagung di Kecamatan Gunem Kabupaten Rembang
Get PDFCorn is one of the primary food crop commodities in Indonesia and ranks second in demand after rice. Gunem Subdistrict, located in Rembang Regency, stands out as a major corn-producing area with the largest harvested area, highest production volume, and greatest productivity—covering 5,276 hectares, producing 47,683 tons, and achieving a productivity level of 9.04 tons per hectare. This study aims to analyze the income received by corn farmers and evaluate the level of profitability of corn farming in Gunem Subdistrict. The research was conducted between January and February 2025 using a survey method. Data were collected through direct observation and structured interviews utilizing questionnaires. The sampling technique employed was quota sampling, comprising 90 respondents: 30 farmers each from Suntri, Tegaldowo, and Timbrangan Villages. The data were analyzed using income analysis, Revenue-to-Cost (R/C) ratio, and Net Profit Margin (NPM) analysis. The findings revealed that the average production was 4,789.29 kg per hectare, with an average selling price of Rp3,344.44 per kilogram. The average production cost per hectare per planting season was Rp5,064,107.08, while the average revenue amounted to Rp16,017,493.04 per planting season. Accordingly, the average income earned by corn farmers was Rp10,953,385.95 per planting season. The R/C ratio was 3.16, and the profitability level reached 68.38%, indicating that corn farming in Gunem Subdistrict is economically viable and contributes positively to farmers’ livelihoods
Faktor-faktor yang Memengaruhi Penawaran dan Permintaan Kopi Indonesia di Pasar Dunia
Get PDFThis study aims to analyze the factors influencing the supply and demand of Indonesian coffee in the world market. The analysis reveals that the supply of Indonesian coffee is affected by the cultivated area and the minimum wage of labor. Meanwhile, the demand for Indonesian coffee is influenced by sugar prices and increases in per capita income. The price of Indonesian coffee is determined by supply, demand, and the world coffee price. Coffee exports from Indonesia, Brazil, Vietnam, and Colombia are influenced by each country's exchange rate against the US Dollar and global coffee demand. The supply of Brazilian coffee is affected by coffee prices and minimum wages, while its demand is influenced by sugar prices and per capita income. The prices of Brazilian and Vietnamese coffee are influenced by world coffee prices. The supply of Vietnamese and Colombian coffee is determined by the size of the cultivated area. The demand for Vietnamese coffee is influenced by coffee prices, sugar prices, and per capita income. Meanwhile, the demand for Colombian coffee is primarily affected by per capita income, and its price is influenced by coffee supply and world coffee prices. Coffee imports by the United States, Germany, Italy, Japan, and the United Kingdom are influenced by per capita income, world coffee prices, and the previous year’s coffee prices. The world price of coffee is affected by the ratio of exports to world coffee supply
Analisis Trend dan Kontribusi Sektor Pertanian pada Produk Domestik Regional Bruto Provinsi Sulawesi Barat
Get PDFThis study aimed to 1). analyze the trend of Gross Regional Domestic Product (GRDP) in the agricultural sector of West Sulawesi, 2). analyze the contribution of each agricultural subsector to the formation of GRDP in the agricultural sector of West Sulawesi, 3). analyze the contribution of each district to the formation of GRDP in the agricultural sector of West Sulawesi during of 2014-2023. This study was carried out in 1st-14th January 2025 using secondary data for research methods. The data used in this study is the time series data of GRDP in the agricultural sector of West Sulawesi during 2014-2023 sourced from the publications of the Badan Pusat Statistik (BPS). The data analysis method used to analyze the first purpose is the least squares method. Meanwhile, to analyze the second and third purpose, the calculation contribution between the total GRDP of each district or the total GRDP of agricultural subsector and the total GRDP of the agricultural sector of West Sulawesi during 2014-2023. The results of the study show the increasing GRDP in the agricultural sector for each year. Some potential subsectors or those with low contributions require alternative strategies such as agricultural modernization, agricultural intensification, and agricultural diversification
Daya Saing, Spesialisasi, dan Kinerja Ekspor Minyak Atsiri Indonesia di Pasar Internasional
Get PDFIndonesia is one of the world's essential oil exporters, with high demand from the perfume, cosmetics, pharmaceutical, food, and beverage industries. However, essential oil exports have fluctuated in five destination countries, namely: Singapore, Spain, the Netherlands, Switzerland, and Germany. This study analyzes Indonesia's competitiveness, trade specialization, and essential oil export performance using Revealed Comparative Advantage (RCA), Export Product Dynamic (EPD), Export Competitiveness Index (ECI), Trade Specialization Index (ISP), Comparative Export Performance (CEP), and Acceleration Ratio (AR) based on UN Comtrade 2014–2023 data with HS code 3301. The results show that Indonesia has a comparative advantage with an average RCA value of 3.53. EPD analysis shows that Germany, the Netherlands, Singapore and Spain are in the Retreat category and Switzerland in the Lost Opportunity category, while the fluctuating ECI indicates unstable competitiveness. ISP confirms Indonesia's position as an essential oil exporter. CEP shows that Indonesia has a relative export advantage over the world average. And AR shows the fluctuating dynamics of export acceleration. To improve competitiveness, product diversification, quality improvement, and more aggressive marketing strategies are needed
Analisis Sektor Unggulan Provinsi Sumatera Utara Tahun 2020-2023
Get PDFNorth Sumatra Province is the ninth largest province in Indonesia. Therefore, the development of this very large area requires appropriate development program steps. One method that can be used in planning the economic development of a region is to determine the leading sectors in the region that are further developed without ignoring other sectors. The purpose of this study is to determine the leading sectors in the North Sumatra economy that can be used as a basis for designing economic development strategies in North Sumatra Province. This analysis is based on secondary data (time series), including North Sumatra's GRDP (Gross Regional Domestic Product) and Indonesia's GDP (Gross Domestic Product) in the period 2020-2023. This study uses a quantitative approach with LQ (Location Quotient), DLQ (Dynamic Location Quotient), and Klassen Typology Analysis. The results of the study show that the sectors that grew rapidly in North Sumatra during the period 2020-2023 include the water supply, waste management, waste, and recycling sectors; wholesale and retail trade sectors; motor vehicle and motorcycle repair sectors; and the real estate sector. Meanwhile, the agriculture, forestry, and fisheries sectors; construction sectors; and the transportation and warehousing sectors are not leading sectors that are growing rapidly, but remain important foundation sectors for the North Sumatra economy. In order for these sectors to become leading sectors, government policy intervention is needed to increase their growth
Forecasting Permintaan Produk Keripik Sayur Mix di PT. IPL Menggunakan Metode Time Series
Get PDFPT. IPL is a company engaged in the horticultural processing industry, especially the production of mixed vegetable chips. Fluctuating product demand is a challenge for companies in optimizing production and inventory to avoid excess or shortage of stock. This study aims to forecast product demand using the Time Series method, namely Moving Average and Exponential Smoothing, in order to determine the most accurate forecasting method. This study uses a quantitative descriptive approach by analyzing historical sales data in 2023–2024. The calculation was carried out using POM QM software for Windows, with the application of Moving Average (length 2) and Exponential Smoothing with various alpha values (α = 0.1; α = 0.5; and α = 0.9). The results showed that the Exponential Smoothing method with α = 0.5 provided the most accurate results, with a Mean Absolute Deviation (MAD) value of 353,301, Mean Squared Error (MSE) of 256,729.5, and Mean Absolute Percentage Error (MAPE) of 25.17%. Based on the forecast results, the estimated demand for December 2024 is estimated to reach 1,678,886 kg. The application of the Exponential Smoothing method α = 0.5 improves the production efficiency and stock management of PT. IPL through proper production planning, adjustment of work schedules, control of raw materials with a Just-In-Time system, and stock management that reduces costs and risk of spoilage. By applying the right forecasting methods, companies can optimize production, avoid wasting resources, and increase operational efficiency and profitability
Hubungan Karakteristik Pedagang Ayam Potong dengan Tingkat Pelayanan Penjualan Ayam Hasil Pemotongan Standar Higienis
Get PDFChicken meat is rich in protein and moisture, making it susceptible to rapid spoilage when exposed to harmful microorganisms. Therefore, it is essential to maintain high standards of hygiene and service during sales and slaughter processes. This study aims to explore the relationship between the characteristics of broiler chicken traders—such as age, education, business experience, sales volume, and income—and the level of service provided in selling chickens that meet hygienic standards. The research was conducted in September 2024 at Ciroyom Market, located in the Andir District of Bandung City, West Java. Respondents were chosen randomly, resulting in a sample size of 31 individuals. The Spearman Rank correlation test was employed to assess the relationship between the two variables. Findings indicate that most broiler chicken traders fall within the early adulthood age range (15–40 years), possess a medium level of education (junior high to senior high school), have significant business experience (over 10 years), and report a medium sales volume (2,708.40 – 18,736.76 kg/month) along with a medium income (Rp. 4,887,869.25 – Rp. 28,528,259.78/month). The service level of the majority of traders is categorized as medium (64.52%). The characteristics that demonstrate a significant correlation with the service level for selling hygienically slaughtered chickens are education, sales volume, and income, while age and experience do not show a significant correlation.