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The plantation sector is one of the main pillars in Indonesia’s international trade. Commodities such as palm oil, rubber, coffee, and cocoa serve as leading export products that contribute significantly to the country’s foreign exchange earnings. This study aims to analyze the role of plantation commodity exports in Indonesia’s international economic performance and to identify the challenges faced. The method used is a descriptive qualitative approach through literature review from various scientific sources. The results indicate that plantation exports contribute substantially to economic growth, employment generation, and the stability of the trade balance. However, several challenges persist, including global price fluctuations, sustainability issues, and international trade barriers. Therefore, strategic policies are required to enhance the competitiveness of Indonesia’s plantation commodities in the global market.

The coffee shop industry in Indonesia is experiencing rapid growth that requires business owners to optimize data-driven strategies. This study aims to analyze customer preferences at Semanis Coffee and Resto using data mining methods  to support more effective business decision-making. The method used is Market Basket Analysis with the FP-Growth algorithm for association rule mining and the K-Means algorithm for customer segmentation. The research data consists of 672 sales transactions during the March-May 2025 period. The results of the association analysis with a minimum support of 0.004 and a minimum confidence of 0.2 resulted in five valid rules with a lift ratio above 1. The strongest rule is the combination of Americano→Milk Choco with a confidence of 42.9% and an elevator ratio of 5.229, indicating a strong linkage between products. The most popular products are Milk Choco (10.8%) and Americano (8.5%). Customer segmentation analysis identified three clusters: Cluster 0 (Loyal Customers) 80% with high frequency but low transaction value; Cluster 1 (Occasional Customers) 10% with low activity; and Cluster 2 (Large Buyers) 10% with high transaction value but low frequency. This study concludes that product bundling strategies, loyalty programs, reactivation campaigns, and premium services can be applied to increase the effectiveness of coffee shop businesses.

This study aims to examine the empowerment of local human resources as a strategic asset in the internationalization process of MSMEs in Sumber Wandhe Wonosalam, Jombang, East Java. This study employs a qualitative case study approach to facilitate the investigation of complex research phenomena, evaluate various perspectives, identify contributing factors, and generate a broad overview. The study indicates that success in internationalization requires a combination of capabilities that can meet market needs, rather than a single capability. Business actors who are able to recognize opportunities for local human resource empowerment can optimize the export process. This enables the region and its residents to maintain generational training in innovative management to address the turnover of the younger generation. Ultimately, this study provides a foundation for further research on the dynamic capabilities required for MSMEs to thrive in international markets.

This study aimed to determine the effect of coffee husk waste application and shallot extract soaking on the growth of cat’s whiskers (Orthosiphon aristatus) cuttings. The research employed a factorial Randomized Block Design (RBD) consisting of two factors with 48 experimental plots. The first factor was the application of coffee husk waste, symbolized as “L,” with four treatment levels: L0 = 0 g/polybag (without coffee husk waste), L1 = 75 g/polybag, L2 = 150 g/polybag, and L3 = 225 g/polybag. The second factor was shallot extract soaking, symbolized as “B,” with four treatment levels: B0 = 0 ml/L of water, B1 = 5 ml/L of water, B2 = 10 ml/L of water, and B3 = 15 ml/L of water. Thus, there were 16 treatment combinations with three replications. The observed parameters included time to shoot emergence, number of shoots, plant height, number of leaves, leaf area, and survival percentage. The results showed that the application of coffee husk waste and shallot extract soaking had no significant effect on the growth of cat’s whiskers (Orthosiphon aristatus) cuttings across all observed parameters.

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 development of rural economies based on locally superior commodities is an integral part of inclusive and sustainable development strategies. Sumberdem located in Wonosari Subdistrict, Malang Regency, possesses significant potential for the development of coffee-based ecotourism. However, this potential remains largely underutilized due to several structural and institutional constraints. Key challenges include inadequate supporting infrastructure, limited capacity of local human resources, and the absence of downstream processing for coffee products. This community engagement program implemented an adaptive approach known as the Lumintu model, rooted in the Participatory Rural Appraisal (PRA) framework. Field assessments revealed critical limitations such as poor road access to plantation areas, insufficient agricultural irrigation, and weak digital connectivity. Moreover, the capacity of village institutions—such as the Village-Owned Enterprises (BUMDesa) and coffee farmer groups—remained low, resulting in local coffee products with limited added value. The initial implementation of the program has shown promising results, particularly in strengthening institutional capacity through training on tourism business management and high–value coffee processing. Furthermore, product diversification through the development of coffee-based agrotourism and digital marketing innovations has been successfully introduced. Overall, this community engagement initiative has provided a concrete solution to rural development challenges in Sumberdem Village. Moving forward, the village is expected to strengthen its position as a sustainable coffee ecotourism destination and improve the long-term economic well-being of its residents. The proposed development model also holds the potential for adaptation and replication in other rural areas with similar characteristics, thereby supporting the broader achievement of the Sustainable Development Goals (SDGs).

Pyrolysis is a biomass conversion method into fuel through heating at high temperatures under oxygen-limited conditions. The main factors influencing the pyrolysis process include temperature, residence time, pressure, particle size, reactor design, and the type of pyrolysis employed. This study aims to design an auger-type fast pyrolysis system based on previous research. The design and modeling of the fast pyrolysis equipment were carried out using Autodesk Inventor 2021 software. Based on the calculation and design results, a fast pyrolysis reactor with a multi-stage configuration and a capacity of 5.2 kg was developed. The system consists of a three-stage reactor made of Stainless Steel 304. The reactor is equipped with a screw conveyor for material transport, which is driven by an electric motor. Biomass heating inside the reactor is provided by a clamp heater with an electrical power requirement of 611 W, while biomass cooling is performed using a condenser with a cooling water capacity of 15.586 liters. Based on the structural simulation results, the maximum von Mises stress obtained was 35.4 MPa, the maximum displacement was 0.0528 mm, and the safety factor was 6.07 under loading conditions including an internal reactor pressure of 0.32 MPa, a torsional moment of 1,130 kg·mm, and an operating temperature of 700 °C. These values are within the allowable limits of the material, indicating that the designed reactor is structurally safe and feasible for use.

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.

The growing pressure on urban drainage systems caused by blockages and environmental pollution highlights the importance of developing sustainable filtration materials. This study explores the use of coffee waste as an environmentally friendly filler integrated into polyester fabric (PE 24S) to create a green filtration medium for drainage applications. The research focuses on developing and characterizing the composite material through macro-photographic morphology analysis, tensile strength testing, and antibacterial evaluation. The findings demonstrate that polyester fabric modified with coffee waste shows a tensile strength of 54.024 ± 5.498 MPa, elongation of 111.128 ± 6.915%, and a Young’s modulus of 0.486 ± 0.543 MPa, indicating improved flexibility and sufficient mechanical durability for drainage system use. Additionally, antibacterial testing reveals that the composite material can inhibit microbial growth due to the presence of natural bioactive compounds found in coffee waste. Overall, the results suggest that coffee waste–enhanced polyester fabric offers a sustainable and mechanically reliable alternative for environmentally friendly drainage infrastructure while supporting circular economy practices.

The increasing competition in the coffee shop industry in Bandung requires businesses to adopt marketing strategies that emphasize long-term relationships with customers. This study aims to analyze the implementation of relationship marketing strategies in building business networks at Groei Coffee, a community-based café located in Sukapura, Bandung Regency. A descriptive qualitative approach was employed, with data collected through observation, interviews, and documentation. The findings indicate that relationship marketing at Groei Coffee is implemented through consistent product quality, two-way communication with customers, personalized services, and collaboration with campus communities and strategic partners. These strategies have proven effective in enhancing customer loyalty, expanding business networks, and strengthening the café’s competitive position in the food and beverage industry. However, several challenges were identified, including limited resources, price sensitivity among student customers, and dynamic consumer preferences. Therefore, an adaptive and sustainable approach is required to ensure that relationship marketing strategies provide long-term benefits for small and medium-sized enterprises (SMEs).

This study aims to analyze the effect of education level on the quality of financial statements based on SAK EMKM, with accounting information systems as a moderating variable, focusing on coffee shop micro, small, and medium enterprises (MSMEs) in Kediri City, Indonesia. A quantitative approach was employed using primary data collected through structured questionnaires distributed to 32 business owners or financial managers selected by purposive sampling. Data were analyzed using descriptive statistics, classical assumption tests, and Moderated Regression Analysis (MRA) with SPSS software.The results indicate that education level has a positive and significant effect on the quality of financial statements, suggesting that higher educational attainment enhances accounting understanding and compliance with SAK EMKM. However, accounting information systems were found to weaken this relationship, indicating that system complexity, limited digital literacy, and insufficient technical training may reduce the effectiveness of education in improving financial reporting quality. These findings highlight that improving financial reporting quality among MSMEs requires not only higher educational capacity but also appropriate technological support and continuous technical assistance. This study contributes to the accounting literature by emphasizing the contextual role of accounting information systems in shaping the relationship between human capital and financial reporting quality in MSMEs.

Proton Exchange Membrane Fuel Cells (PEMFCs) are increasingly developed due to their high efficiency, power density, durability, and environmental friendliness. However, the high cost of platinum catalysts limits their widespread application. Reducing platinum usage through the development of low-cost catalyst support materials is a promising approach. Activated carbon derived from biomass offers a sustainable and economical alternative, particularly when utilizing agricultural waste such as coffee husks, which are often discarded. This study aims to evaluate the characteristics of activated carbon produced from coffee husk waste through pyrolysis as a catalyst support for PEMFCs. Pyrolysis was conducted at 400 °C, followed by chemical activation using 1 M H₃PO₄ and 1 M KOH with a residence time of 90 minutes. The resulting activated carbon was analyzed through proximate analysis to determine moisture content, ash content, volatile matter, and fixed carbon content. The results showed that activation with 1 M H₃PO₄ produced the lowest moisture content (3.4%), the lowest ash content (3.8%), and the highest fixed carbon content (60.5%), while 1 M KOH yielded the lowest volatile matter content (27.7%). Based on these results, activated carbon produced using H₃PO₄ meets the requirements of SNI No. 01/6235/2000 and demonstrates strong potential as a catalyst support material for PEMFC applications.

This study aims to analyze rebranding strategies and marketing communication in building the brand equity of Kopi Bawang Dayak as a regional flagship product. Kopi Bawang Dayak is a local product innovation based on the indigenous wisdom of Kalimantan that has functional and economic potential; however, it still faces challenges such as weak brand identity, unclear positioning, and ineffective marketing communication. This research adopts a qualitative approach using a descriptive method. Data collection techniques include interviews with business actors and consumers, observations of visual identity and promotional media, documentation, and literature review. The results indicate that rebranding strategies implemented through logo updates, packaging redesign, and the reinforcement of local values are able to enhance brand awareness and brand associations among consumers of Kopi Bawang Dayak. Furthermore, marketing communication that emphasizes storytelling, health benefits, and local cultural values through social media contributes to increasing perceived quality and building consumer trust. The synergy between rebranding strategies and marketing communication is proven to play a significant role in strengthening the brand equity of Kopi Bawang Dayak. This study concludes that integrating local identity with modern marketing approaches is a key factor in enhancing the competitiveness of regional flagship products in broader markets.

The rapid growth of the culinary industry in Purwokerto has led to the emergence of numerous coffee shops with unique and competitive concepts. La Puerto Coffee & Eatery stands out as one of the leading businesses by implementing a green building concept and modern industrial design. This study aims to analyze the business processes of La Puerto using the SWOT and Value Chain methods to identify its strategic position and sustainable development opportunities. The research adopts a descriptive qualitative approach through direct observation, interviews with management and customers, and literature review. The results show that La Puerto’s main strengths lie in its eco-friendly concept, strategic location, and high-quality service, while its weaknesses include limited digitalization and underdeveloped marketing strategies. The Value Chain analysis reveals that most primary activities are effective; however, digital integration needs improvement to enhance efficiency and value creation. Overall, the combination of SWOT and Value Chain analyses provides a comprehensive understanding of business potential, suggesting that digital transformation, service innovation, and community-based marketing are key strategies for sustaining La Puerto Coffee & Eatery’s competitiveness in the dynamic culinary industry.  

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.

The coffee shop industry in Indonesia is experiencing rapid growth, leading to increasingly intense market competition, particularly among small and medium enterprises. Iro Rumah Kopi, an UMKM located in Lebak Bulus, is required to implement effective marketing communication strategies to strengthen its brand awareness. This study aims to analyze digital marketing communication practices conducted through social media platforms, especially Instagram and TikTok, which are widely used to reach young and urban audiences. A descriptive qualitative approach is applied to examine the content shared by the marketing team, focusing on messages, visual elements, storytelling techniques, and patterns of audience interaction. The results indicate that marketing communication plays a crucial role in shaping consumer perceptions and increasing brand visibility. Visual content combined with consistent storytelling and active engagement with followers successfully enhances audience interaction. The positioning of Iro Rumah Kopi as a “second home” emerges as a central message that fosters emotional connections with customers. Overall, the study concludes that consistent, creative, and relevant digital communication strategies significantly contribute to improving brand awareness and customer attachment.

The relatively high volatility of Robusta coffee prices creates uncertainty for farmers, business actors, and policymakers in making economic decisions. This study aims to analyze the price movement patterns of Robusta coffee, determine the most appropriate Autoregressive Integrated Moving Average (ARIMA) model, and conduct short- to medium-term price forecasting for Robusta coffee. The data used consist of monthly Robusta coffee price data from January 2023 to September 2025, sourced from the World Bank Commodity Price Data. The analytical method employed is ARIMA using EViews software, beginning with stationarity testing using the Augmented Dickey-Fuller (ADF) test, model identification through ACF and PACF, parameter estimation, and residual diagnostic testing. The results show that Robusta coffee price data are non-stationary at the level but become stationary at the first difference, indicating integration of order one I(1). Based on model identification and diagnostic testing, the ARIMA (0,1,0) model is found to be the most appropriate and satisfies the white noise assumption. Forecasting results indicate that Robusta coffee prices are projected to remain relatively stable with a moderate upward trend through December 2026. These findings are expected to serve as a reference for decision-making by farmers, business actors, and the government in responding to Robusta coffee price dynamics.

Local coffee micro, small, and medium enterprises (MSMEs) in Karang Sidemen Village, Central Lombok Regency, have significant development potential; however, they still face challenges related to marketing practices and limited value addition. Conventional marketing systems restrict market reach and reduce product competitiveness. In the context of the Industrial Revolution 4.0 and Society 5.0, digital marketing offers a strategic opportunity for MSMEs to enhance product promotion and sales performance. This community service program aimed to strengthen the capacity of local coffee MSMEs through the implementation of social media–based digital marketing strategies. A participatory approach was employed, actively involving MSME actors and students through stages of problem identification, program planning, training and hands-on digital marketing practices, and evaluation. The results demonstrated an improvement in participants’ understanding and skills in utilizing social media as a promotional tool, as reflected by the initiative to develop and publish promotional video content for local coffee products, including the flagship Versilia coffee variant. The use of visual content and storytelling facilitated the practical adoption of digital marketing strategies. Overall, this program contributed to shifting marketing behavior from conventional to digital approaches and strengthening the sustainable competitiveness of local coffee MSMEs.

Unexpected downtime of a 2 kg/hour coffee grinder is crucial in cafe operations, thus less guaranteeing the availability of the grinder. The purpose of component replacement and repair planning is to obtain a prediction of the maintenance and repair schedule and costs in the 2026 period. The component replacement planning method includes collecting previous maintenance and repair data, applying the inspection-replace-repair-overhaul (IRRO) method, assessing component conditions, predicting component life, predicting technician costs, predicting supporting work equipment and supporting materials to be used in maintenance, predicting the time to replace spare parts or reinstall components after repair, estimating maintenance and repair costs for the 2026 period, and calculating the ratio of maintenance costs to profits. The results of component replacement and repair planning obtained maintenance costs for the 2026 period are IDR 2,350,000, - with an estimated coffee grinder rental rate of IDR 25,000/hour which has the potential to be rented for 1440 hours/year, and the ratio of maintenance costs to profits is 6.5% which implies that the coffee grinder with a capacity of 2 kg / hour is still suitable for use for the next few years and still has the opportunity to make a profit.