Publication Search

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.

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.

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.

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.

This study aims to analyze the role of Digital Public Relations (DPR) in maintaining public trust in Kopi Tuku's reputation through its Instagram account @tokokopituku. Using qualitative methods with documentation studies, this study analyzed feed posts, captions, comment interactions, and related digital documents. The results show that Kopi Tuku implements a consistent digital communication strategy through simple visuals, humanistic storytelling, and a friendly style of language. This creates a deep perception of authenticity and transparency in the eyes of consumers. Although comment interactions are not too intense, the principle of symmetrical communication is still applied with quick and friendly responses. The consistency of brand values ​​and identity further strengthens public trust, maintaining Kopi Tuku's reputation amidst the intense competition in the coffee industry. This research contributes to the development of digital PR studies and serves as a reference for local coffee industry players in formulating social media-based communication strategies to build closer relationships with consumers.

This study aims to analyze the effect of customer experience and service quality on customer loyalty with customer satisfaction as a mediator. The sample in this research consists of 100 respondents who have visited Kopi Pirak. The data collection technique used is a survey method with a questionnaire as the research instrument. The instrument test results indicate that the statement items show that the convergent validity test meets the required criteria. The results of this study prove that: Customer Experience does not have a significant effect on Customer Loyalty, Service Quality has a positive and significant effect on Customer Loyalty, Customer Experience has a positive and significant effect on Customer Satisfaction, Service Quality has a positive and significant effect on Customer Satisfaction, Customer Satisfaction has a positive and significant effect on Customer Loyalty, Customer Satisfaction has a significant effect in mediating the relationship between Customer Experience and Customer Loyalty, Customer Satisfaction has a significant effect in mediating the relationship between Service Quality and Customer Loyalty. The findings of this study imply that future researchers should test the model using samples with a larger business scale to obtain more varied results. The findings of this study also imply that Kopi Pirak needs to improve customer experience in order to enhance customer loyalty.

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.

Increasing in energy demand and limited fossil fuel reserves have driven the use of environmentally friendly alternative energy sources. This study aims to analyze the effect of pyrolysis temperature variations on the quality of biopellets made from bagasse and coffee husks. The materials were prepared in a 50:50 ratio with the addition of 15% tapioca flour as a binder. The pyrolysis process was carried out at temperatures of 450°C, 500°C, and 550°C for 120 minutes in oxygen-free conditions. The biochar resulting from pyrolysis was formed into biopellets, which were then tested for proximate composition, calorific value, and combustion rate. The results showed that an increase in pyrolysis temperature had a significant effect on the characteristics of the biopellets. A temperature of 550°C produced the lowest moisture content (8.436%), the highest fixed carbon content (62.191%), the highest calorific value (6293 cal/g), and the highest combustion rate (0.05789 g/sec). Conversely, ash content increased with rising temperature, while volatile matter content decreased. Thus, the best biopellets were obtained at a temperature of 550°C. This study confirms the potential of bagasse and coffee husks as raw materials for biopellets through pyrolysis temperature optimization to support the development of sustainable biomass energy.

The coffee industry in Indonesia is growing rapidly and encouraging coffee shops, including MSMEs, to strengthen their branding strategies through digital media. This study aims to design and evaluate Instagram social media content to increase brand awareness of Kamala Kopi, a local coffee shop in Gunungpati, Semarang. The method used is the Multimedia Development Life Cycle (MDLC) with stages of concept, design, material collection, assembly, testing, and distribution. The content produced consists of music videos, promotional posters, and menu visuals, which were then tested through internal and external validation, as well as a questionnaire administered to 68 respondents. The research results showed a positive and significant influence of Instagram content on brand awareness of 1.007 with a coefficient of determination of 90.4%. These findings confirm that content on Instagram social media plays an important role in strengthening the visibility of SME brands and can be an effective strategy to increase brand awareness.

Coffe is one of Indonesia’s leading commodities, known for its diverse flavors and aromas. Traditionally, coffee quality assessment is conducted manually through cupping tests performed by expert panelists. However, this method is subjective and requires considerable time and cost. This study aims to implement an Artificial Neural Network (ANN) using the backpropagation algorithm to classify coffee types based on sensory parameters such as flavor, aroma, acidity level, and body. Simulated data were generated from five common Indonesian coffee varieties: Arabica Gayo, Robusta Lampung, Arabica Toraja, Liberica Jambi, and Excelsa. The results show that the ANN-based classification system with a 4-8-1 architecture achieved an accuracy rate of 93% after 500 training epochs, with a final error value of 0.07. The implementation of this method provides an efficient and objective technological alternative to assist the coffee industry in maintaining product quality and automatically identifying coffee types.    

This study aims to analyze the development strategy of micro, small, and medium enterprises (MSMEs) in the coffee sector using the Business Model Canvas (BMC) and SWOT Analysis approaches. A case study was conducted at Paul Coffee Shop, located in Tajurhalang, Bogor Regency. The research method employed was descriptive qualitative, with data collected through observation, interviews, and literature review. The results indicate that the current business model of Paul Coffee Shop has strengths in affordable pricing and personal relationships with customers but still has weaknesses in digital marketing and product innovation. Through SWOT analysis, development strategies were formulated, including product diversification, strengthening digital marketing, collaboration with local MSMEs, and customer loyalty programs. This study emphasizes that BMC can be used not only in the initial stage of business establishment but also as a tool for evaluation and strategy development for ongoing MSMEs.

This study aims to determine the effect of location, store atmosphere, and content marketing on Generation Z consumer purchasing decisions at Hakui Kopi 0 KM Tulungagung. This type of research uses quantitative research with associative methods. Sampling was carried out using purposive sampling method, the population in this study were generation z consumers at Hakui Kopi 0 KM Tulungagung. The data used in this study are primary data using a questionnaire and get a sample size of 144 which can be obtained using Hair's formula. The analysis technique used in this study consists of validity test, reliability test, classical assumption test, multiple linear regression analysis, t test, F test, and determination coefficient test (R2). The results of the study indicate that partially the location has a positive and significant effect on purchasing decisions with a significance value of 0.000> 0.05. Furthermore, Store Atmosphere partially has a positive and significant effect on Purchasing Decisions with a significance value of 0.000 <0.05. Content Marketing has a positive and significant effect on Purchasing Decisions with a significance value of 0.000> 0.05. The influence of Location, Store Atmosphere, and Content Marketing simultaneously has a positive and significant effect on Generation Z Consumer Purchasing Decisions at Hakui Kopi 0 KM Tulungagung.

This study aims to analyze the influence of price perception and service quality on customer satisfaction at Popo Kopitiam Tasikmalaya. The research method used is a survey with a quantitative approach. Data were collected through distributing questionnaires to 90 respondents who are active customers of Popo Kopitiam. Data analysis was conducted using multiple linear regression to determine the simultaneous and partial effects between the independent and dependent variables. The results showed that simultaneously, price perception and service quality have a significant effect on customer satisfaction. Partially, price perception has a significant effect on the level of customer satisfaction, indicating that assessing price according to product quality can increase satisfaction. Similarly, good service quality significantly influences customer satisfaction, indicating the importance of fast, friendly, and professional service. These findings indicate that the combination of competitive prices and optimal service is a major factor in building customer satisfaction at Popo Kopitiam Tasikmalaya.