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Digitalization is an effort to utilize digital-based technology to transform previously conventional work systems into more efficient and effective ones, including in the management of micro, small, and medium enterprises (MSMEs). This study aims to apply digitalization to corn-based coffe MSMEs in Talang Balai Baru 1 Village, Tanjung Raja District, Ogan Ilir Regency. The research method used is a descriptive qualitative approach with data collection techniques through interviews, observation, and documentation. The research findings indicate that the production and marketing activities of corn coffe MSMEs still use conventional methods. The implementation of digitaization has not been optimally implemented due to the low digital literacy of business owners and limited time in business managemen. Nevertheless, the initial implementation of digitalization through the use of social media and online sales platforms has had a positive impact in the form of expanding market reach and increasing ease of communication between producers and consumers. Thus, the digitalization of corn coffe MSME products has great potential to increase competitiveness and business sustainability if implemented gradually and continuously. .

The Community Partnership Program (PKM) at Rumah Kopi Banjarsengon (RKB) aims to improve product quality and coffee marketing according to consumer needs. Key activities include production observation, assistance with laboratory testing for nutritional value and shelf life, food safety education, digital marketing training, and the delivery of a 5 kg roasting machine. These efforts have successfully increased production capacity and product quality standards through informative labels. Digital marketing has seen significant progress, with increased social media engagement and broader market reach. Consumer satisfaction surveys have risen from 80 to 97 on a scale of 100. Overall, this PKM program not only supports sustainable coffee business development but also contributes to improving partner competency and strengthening product competitiveness in both local and export markets. RKB is expected to consistently implement digital marketing strategies and product innovation for long-term success. Going forward, RKB is expected to continue implementing digital marketing strategies and product innovation to ensure sustainable business success.

This study aims to analyze the influence of interest rates, exchange rates, and coffee production on the value of coffee exports in South Sulawesi. The background of this study is based on the condition of South Sulawesi coffee exports which have experienced significant fluctuations in recent years despite coffee production tending to increase. This study uses a quantitative approach with time series data for the period 2009-2023 sourced from the World Bank, International Monetary Fund and the Directorate General of Plantations, the Food Crops, Horticulture and Plantation Service of South Sulawesi Province. Data analysis was conducted using multiple linear regression through the EViews 12 application with the classical assumption test as a model prerequisite. The results show that partially interest rates have a significant effect on coffee exports, while exchange rates and coffee production do not have a significant effect. Simultaneously, the three independent variables do not have a significant effect on the value of coffee exports. This finding indicates that external factors, especially interest rates, are more dominant in determining the performance of South Sulawesi coffee exports than internal factors of production and exchange rates.

Coffee husk is an agro-industrial waste with significant potential to be utilized as a renewable energy source through the fast pyrolysis process. This study aims to analyze and optimize gas production from the fast pyrolysis of coffee husk biomass using a screw reactor through single-particle-based Computational Fluid Dynamics (CFD) simulations. The simulations were conducted by varying the operating temperature at 500°C, 600°C, and 700°C to examine pressure distribution, heat transfer, particle temperature, and the formation of pyrolysis products, namely bio-oil, biogas, and biochar. The modeling was performed using COMSOL Multiphysics 6.2 with a numerical approach to represent thermal phenomena and biomass decomposition reactions during the pyrolysis process. The simulation results indicate that increasing temperature significantly affects the rate of heat transfer and the temperature distribution of coffee husk particles. At 600°C, heat transfer and temperature distribution are more uniform compared to 500°C, although heating at the particle core is not yet fully optimal. The pressure distribution shows a stable flow of pyrolysis gas from the bottom to the top of the reactor. In terms of products, increasing temperature leads to a reduction in biochar and bio-oil formation due to the occurrence of secondary reactions, while biogas production increases. The highest gas production is achieved at 700°C, indicating the most optimal condition for maximizing gas yield from fast pyrolysis. Therefore, single-particle-based CFD simulation can be used as an effective tool to understand pyrolysis mechanisms and optimize process parameters in a screw reactor.

Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This article discusses machine learning approaches as well as decision trees, K-nearest neighbors, naive Bayes, support vector machines (SVM), and random forests for detecting coffee leaf diseases using leaf images. The above-mentioned classifications were researched and compared to determine the most suitable plant disease prediction model with the highest accuracy. Compared with other classification algorithms, the SVM algorithm achieves the highest accuracy of 99.75%. All the models trained above will be used by farmers to quickly identify and classify new diseases in images as a prevention strategy. As a preventive measure, farmers can detect and classify new diseases in images early.

Kopirates Maumere is a local micro, small, and medium enterprise (MSME) engaged in the processing and marketing of specialty coffee products from Sikka Regency. This study aims to analyze the management strategies implemented by the MSME based on interviews with the business owner. The research focuses on product strategy, marketing, operations, business development, and the challenges faced in running the MSME amid increasingly competitive market conditions. The research method employs a descriptive qualitative approach through in-depth interviews and direct observation. The results indicate that Kopirates Maumere applies a product differentiation strategy by highlighting the quality of local coffee, supported by increasingly developed digital marketing. The MSME also strives for operational efficiency despite facing challenges related to limited capital and production equipment. This study concludes that adaptive management strategies based on local potential are crucial for maintaining MSME sustainability. Furthermore, improved managerial capacity along with support from the government and local communities is needed to strengthen the MSME’s position in a broader market.

This study aims to determine the cost of coffee production as a basis for setting the selling price in the Sarah Jaya coffee business. Accurate calculation of production costs is essential because it directly affects pricing decisions and the level of profit generated by the business. The full costing method is used to determine the cost of production, as this method provides a more comprehensive and detailed calculation by including all cost components required in the production process, such as raw material costs, direct labor costs, and both fixed and variable manufacturing Overhead costs. Determining the cost of production using an appropriate method can significantly influence the determination of the selling price and ensure that the business achieves sustainable profitability. The application of the full costing method is expected to provide practical benefits for Small and Medium Enterprises (MSMEs), particularly in improving financial management and decision-making accuracy. The results of this study indicate that the calculation of the cost of production for the Sarah Jaya coffee business conducted by the business owner using the full costing method aligns well with the determination of the selling price and the profit generated. This is because the full costing method takes into account more detailed and comprehensive cost elements, resulting in a more realistic and reliable calculation of production costs.

Salem District is one of the largest coffee commodities in Brebes Regency. This significant potential has yet to provide a meaningful contribution to the income of coffee farmers, especially in Gunung Jaya village, Salem District. The low income of coffee farmers is due to the fact that they still sell their coffee products in the form of cherry. Over time, in 2018, farmers began to develop small-scale and simple coffee processing from green beans to roasted beans and coffee powder, pioneered by the SME "Lulumpang Kopi". They still use simple tools and often have to travel out of town to obtain the desired coffee powder. Lulumpang Kopi can produce 100-150 packages of coffee weighing 100 grams. Seeing this potential, the Community Partnership Empowerment team (PKM) from the University of Civilisation and UNSOED, funded by DIKTISAINTEK, is conducting community service this year 2025 using training methods, workshops, and appropriate technology grants. Thus, technology has been granted in the form of 1 Huller machine with a capacity of 150kg/batch, 1 BBM Grinding machine with a capacity of 10kg/batch, and scales. This assistance aims to enhance farmers' capabilities to achieve greater economic independence and improve their competitiveness in the market. As a result of this activity, partners were able to increase the capacity and quality of coffee farmers' production through the grant of equipment such as huller, BBM grinder, and digital scales, making the processing faster, more efficient, and yielding better coffee compared to traditional methods. In addition, the training participants also demonstrated an increase in knowledge through pre-tests and post-tests, rising from 66.5% to 77.3%, an increase of 13.8% from the 40 participants who attended.

Environmental issues are complex and increasingly important. This is also true in the industrial sector, particularly in the culinary industry. Currently, public awareness of environmental issues is increasing, leading consumers to consider eco-friendly factors in their daily lives. The concept of eco-friendliness in the coffee shop industry has become an increasingly popular trend. Especially in the food and beverage (F&B) industry, which plays a significant role in waste production, particularly plastic and food waste. Therefore, the concept of eco-friendly practices has emerged in the F&B industry. This can take the form of using environmentally friendly food ingredients, eco-friendly packaging, and the café concept itself, which conveys an eco-friendly image that can increase consumer purchasing interest. This is implemented by Fore Cafe and Coffee Galaxy Bekasi. This study aims to investigate how the eco-friendly concept is implemented and its impact on consumer purchasing interest at Fore Cafe & Coffee Galaxy Bekasi. The study employs a quantitative approach with a sample and population of 99 consumers of Fore Cafe & Coffee Galaxy Bekasi, selected randomly. The analysis uses validity tests, reliability tests, normality tests, and T-statistical test. The results of the research and data processing using SPSS version 25 showed that the Eco-Friendly concept had an effect on increasing consumer interest in purchasing Fore Cafe & Coffee Galaxy Bekasi, and certainly had a positive effect on environmental conditions.

This study aims to identify and analyze the business development strategy of Coffee Shop For Good Luck by focusing on four key aspects: production, human resources, marketing, and finance. A descriptive quantitative approach was employed using SWOT analysis. Data were collected from 35 respondents. The results reveal that Coffee Shop For Good Luck possesses 6 strengths, 7 weaknesses, 5 opportunities, and 6 threats. The most significant internal strength lies in the attractive concept and well-organized layout (weight score: 0.285), while the main weakness is its less strategic location (0.051). Externally, the most impactful opportunity is the potential for collaboration with influencers (0.352), and the primary threat is the emergence of new coffee shops in the surrounding area (0.052). Based on the SWOT diagram, the business is positioned in Quadrant I (score: 2.18; 2.25), indicating a favorable situation with strong internal capabilities and external opportunities. Therefore, the recommended strategy is an aggressive growth strategy to fully leverage the business's strengths and opportunities.

The growing coffee production rate in Indonesia reflects an increasing public interest in coffee consumption. Fore Coffee, a local coffee shop, has taken advantage of this trend since 2018. However, strong competition from other coffee shops has placed Fore Coffee in third place in the Top Brand Award rankings for the past two years, indicating the need for more effective marketing strategies to boost purchase intention among potential consumers. This study aims to analyze the role of brand awareness in mediating the effect of social media marketing on purchase intention among prospective consumers of Fore Coffee in Denpasar City. The research was conducted with a sample of 120 respondents, using surveys with offline and online questionnaires. The sample was selected through a non-probability purposive sampling method. The data analysis was performed using path analysis and the Sobel test with SPSS version 25. The study’s results indicate that all hypotheses are supported. Social media marketing positively and significantly affects purchase intention, suggesting that effective social media strategies can directly influence consumers' willingness to purchase. Additionally, social media marketing positively impacts brand awareness, meaning that well-executed social media campaigns help consumers become more familiar with the brand. Furthermore, brand awareness has a significant positive effect on purchase intention, implying that increased awareness of Fore Coffee enhances the likelihood of purchase. The study also found that brand awareness partially mediates the relationship between social media marketing and purchase intention, indicating that social media marketing's impact on purchase intention is stronger when combined with high brand awareness. These findings emphasize the importance of integrating social media marketing with brand awareness strategies to improve consumer purchase intention.

The implementation of Supply Chain Management (SCM) makes many businesses manage information, goods, services and money as good as possible so they can provide fast and high-quality services to customers. Therefore, this study aims to implement SCM in Kopi Bintang Salatiga SMEs to decrease production costs, increase revenue, improve operational efficiency and establish good relationships with customers. This study discusses the SCM process and the added value in Kopi Bintang Salatiga SMEs so in the future Kopi Bintang Salatiga SMEs can have good risk management and increase added value. The data was collected through literature study and interviewing the owner of Kopi Bintang Salatiga SMEs. This study found that weather, natural disasters, fires and coffee pests are the factors with the highest risk in the SCM process of Kopi Bintang Salatiga SMEs. The added value of farmers & post-harvest coffee processors of Kopi Bintang Salatiga Kopi Bintang Salatiga SMEs is already quite high at 99%, while at grade I coffee sales is 71% and grade II is 47% it appears that coffee with grade II has lower added value, so it is needing accuracy of coffee processing at farmers & post-harvest coffee processors so the grade I coffee product is increased.

Coffee production generates large amounts of solid waste, particularly coffee pulp, which can lead to environmental pollution if not properly managed. This study investigates the utilization of coffee pulp waste as a liquid organic fertilizer (LOF) and its effect on the growth of Arabica coffee seedlings (Coffea arabica L.). The experiment was conducted using a randomized complete block design (RCBD) with five treatments (0, 10, 20, 30, and 40 ml/L of LOF) and five replications. Observations were made on seedling height, stem diameter, and number of leaves over a four-month period. The results showed that the application of LOF had a significant effect on plant height and number of leaves. The highest increase in height and leaf count was observed in the 30 ml/L treatment, while the 40 ml/L treatment showed a slight decline, possibly due to nutrient oversaturation. However, stem diameter did not show a statistically significant difference among treatments. Correlation analysis indicated a strong positive relationship between plant height and leaf number (r = 0.800), suggesting synchronized vegetative growth. These findings demonstrate the potential of coffee pulp LOF as an eco-friendly alternative to chemical fertilizers in coffee seedling nurseries. Further research is recommended to evaluate long-term effects and optimal dosages for different growth stages.

Aceh’s economy has long been dominated by the oil and gas sector, particularly LNG Arun exports, which contributed more than 40% of regional GDP (GRDP) in the early observation period. However, declining production after 2014 drastically reduced its share to below 20%, and in recent years, to only around 10–12%. This study aims to analyze the contribution of oil and gas (migas) and non-oil and gas (nonmigas) exports to Aceh’s economy and to assess the potential of export diversification as a sustainable development strategy. The research employs a quantitative approach using secondary time series data from 2007–2021 obtained from BPS, Bank Indonesia, and other official sources. Data were analyzed descriptively and through simple econometric models, including OLS regression and cointegration tests. The findings reveal that oil and gas exports are significant in the short term but have weakened in the long term. In contrast, non-oil and gas exports, although relatively small, exhibit stable growth and demonstrate a long-term relationship with GRDP. These results underscore the importance of diversifying exports towards nonmigas commodities, particularly coffee, cocoa, rubber, and fisheries. The practical implication is the urgent need for Aceh’s development strategy to shift from oil and gas dependence towards globally competitive nonmigas industrialization

PT Perkebunan Nusantara I (PTPN I) is an Indonesian State-Owned Enterprise (BUMN) specializing in plantation operations, particularly the cultivation and processing of primary commodities, including rubber, coffee, and tea. Additionally, the company engages in secondary ventures such as tobacco production, plastic sack manufacturing, and asset optimization. As of December 1, 2023, PTPN I functions as a subholding entity with regional offices strategically located in Sumatra, Java, and Sulawesi to enhance operational efficiency. The company was originally established in Aceh in 1961 as PPN Kesatuan Aceh, marking the beginning of its long-standing presence in the industry.This study aims to analyze the impact of transformational leadership, internal communication, and work ability on both organizational commitment and organizational performance at PTPN I’s Surabaya region. Utilizing a quantitative causal-explanatory approach, primary data was collected through structured questionnaires. The target population comprised employees of PTPN I in Surabaya, with 100 respondents selected via purposive sampling. Data analysis techniques included descriptive statistics and SEM-PLS (Structural Equation Modeling-Partial Least Squares). Findings reveal that transformational leadership, internal communication, and work ability significantly and positively influence organizational commitment. Likewise, transformational leadership, work ability, and organizational commitment exhibit a significant positive relationship with organizational performance. However, although internal communication has a favorable effect, its impact on organizational performance is not statistically significant in this context.

Appreciation of IPR in Indonesia is still relatively low and many people consider IPR to be unimportant and even many lay people do not understand IPR. One of them is the protection of trade secrets which plays an important role for both personal and public interests. The research method is normative legal with prescriptive data analysis. Trade secrets cover aspects of pre-production to post-production, including marketing and sales. The use of trade secrets without permission and approval from other parties is a violation of Law Number 30 of 2000 concerning Trade Secrets. The use of information includes production methods, frying, grinding, to marketing and sales of CV ground coffee. Tiga Putra Berlian resembles CV. Bintang Harapan by recruiting employees, offering coffee products that have been produced to CV customers. Bintang Harapan, causing losses and violating Article 17 of Law Number 30 of 2000.

White oyster mushroom (Pleurotus ostreatus) is a type of wood fungus that can be consumed and has high nutritional content such as carbohydrates, calcium, protein, iron, fat, potassium and phosphorus. This study aims to determine the benefits of oyster mushroom growth and production (Pleurotus ostreatus) using various compositions of growing media that incorporate coffee grounds. The study was conducted from June to December 2024 at the oyster mushroom cultivation facility of the Faculty of Agriculture, Christian University of Indonesia Toraja, located in Tallunglipu District, North Toraja Regency. The research consists of three stages: the production of oyster mushroom baglogs with coffee grounds as an additional substrate, testing the effectiveness of coffee grounds as a supplementary substrate in the growing media for oyster mushrooms, and analyzing the farming business based on the production results of oyster mushrooms. The research method employed a Randomized Block Design (RBD) with five treatments: without additional coffee grounds (0%); with additional coffee grounds at 5%, 10%, 15%, and 20%. The results indicate that the treatment with 10% coffee grounds yielded the best results, with an average of 35.67 caps, a cap diameter of 9.38 cm, a stem diameter of 1.78 cm, and a mushroom weight of 391.00 grams.

Production facility layout design is an important part that must be considered in an industry. Banjarsengon coffee house is one of the coffee suppliers in Jember with product types such as robusta and arabica coffee from the Argopuro mountains. The purpose of the research is to reduce material handling costs generated by the industry in order to produce the most optimal costs, and design a proposed layout as an alternative to help reduce material handling costs. This industry processes its products from upstream to downstream so that it has 2 production sites, namely the production house and Cafe Rumah Kopi Banjarsengon. The research was conducted with an interview approach to key informants and continued by calculating material handling costs and the Craft method. The results showed that the initial layout of Banjarsengon Coffee House resulted in material handling costs of Rp. 534,437 and after iteration through the Craft Method, an alternative layout was obtained that resulted in more efficient material handling costs of Rp. 464,302. This shows that there is a material handling cost savings of 13.1% or Rp. 70,135.

Umah Lokal Coffee Roastery is a business engaged in the production and marketing of coffee beans. This study aims to optimize the production combination to maximize profits using the Linear Programming method. This method enables the company to determine the optimal production quantity for each type of product, namely Telek Beans, Barong Beans, Jauk Beans, Gerbera, and Daisy. The analysis results indicate that the optimal production combination includes producing 128 units of Telek Beans, 155 units of Jauk Beans, 85 units of Gerbera, and 189 units of Daisy, while the production of Barong Beans is discontinued. Implementing this strategy has the potential to increase profits by Rp1,124,417 or 6.4%. This research contributes to the development of more efficient production strategies in dealing with resource constraints.  

The revitalization of coffee plantations is a strategic effort to enhance productivity and quality, particularly in Halmahera, which has favorable agroclimatic conditions. This study aims to analyze the implementation of revitalization programs and coffee cultivation practices adopted by the Permata Buli Farmers’ Cooperative in Geltoli Village, Maba District. A qualitative approach was used, involving field observations, interviews with farmers, and secondary data analysis related to coffee production and marketing. The results indicate that the adoption of sustainable farming techniques, such as selecting high-quality seedlings, agroforestry systems, and proper post-harvest management, contributes to increased productivity and coffee quality. Additionally, cooperative institutional support, access to capital, and government policies play significant roles in the success of coffee plantation revitalization. This study recommends optimizing farmer training, improving market access, and strengthening partnerships with the coffee processing industry to create a more sustainable and competitive coffee farming system.