Traditional Production Research Articles

OMNICHANNEL MARKETING STRATEGY ON SHRIMP AMPLANG SHOPPING EXPERIENCE IN THE DIGITAL AGE WITH CONSUMER ENGAGEMENT AS A MEDIATING VARIABLE

Rapid digital transformation has revolutionized consumer behavior, yet research on omnichannel strategies for traditional local products is limited. This study investigates the impact of omnichannel marketing strategies on the shopping experience of Amplang Udang, a popular shrimp cracker from Riau, Indonesia, with consumer engagement as a mediating variable. Using a quantitative approach, data was collected from 100 respondents through an online survey and analyzed using structural equation modeling (SEM). Results showed a significant positive relationship between omnichannel marketing strategy and shopping experience (β=0.42, p<0.001). Consumer engagement partially mediates this relationship, with the indirect effect accounting for 38% of the total effect. This study contributes to the understanding of omnichannel effectiveness for local products in the digital age and provides practical insights for small-scale food manufacturers. It is concluded that the integration of online and offline channels, coupled with strategies to increase consumer engagement, can significantly improve the shopping experience of traditional products such as Amplang Udang in an increasingly digitalized marketplace.

Three-Dimensional Printing of Metallic Parts by Means of Fused Filament Fabrication (FFF)

Obtaining metallic parts via Additive Manufacturing can yield several advantages over using other traditional manufacturing methods such as machining. Material extrusion (MEX) can handle complex shapes with porous structures and, at the present time, much low-end and desktop equipment is available. In the present work, different industrial and medical applications of metallic Fused Filament Fabrication (FFF) parts are presented. First, an overview of the process, equipment, and of the metal-filled filaments currently available is provided. Then, the properties of parts and different applications are shown. For example, metal-filled filaments with a low metal content that can be used to obtain plastic parts with metallic appearance (with either steel, copper, or bronze), and filaments with a high metallic content allow obtaining metallic parts with high mechanical strength after a sintering operation. The present contribution aims to be an up-to-date panorama for current industrial and medical results and lessons learnt from the application of FFF to obtain metallic parts.

Navigating the intersection between postponement strategies and additive manufacturing: insights and research agenda

Postponement is a popular principle used to improve supply chain responsiveness and increase customisation by delaying manufacturing and logistics operations until more accurate market demand information is available. In business environments where responsiveness and customisation are increasingly important, additive manufacturing (AM) has recently emerged as a high-potential manufacturing technology. Due to changes in customer behaviours that affect product life cycles and variety, AM could disrupt traditional manufacturing and greatly impact postponement decisions. However, the intersection between postponement and AM is largely underexplored. This study aims to investigate the intersection between postponement and AM to meet the escalating demand for customised products. We conceptualise opportunities and challenges related to when customisation is introduced, concerning the positioning of the customer order decoupling point and to where customisation takes place, as operations could shift across supply chain tiers or even jurisdictions. By shedding light on the intersection of postponement and AM and its implications for customisation, this study formulates a research agenda focusing on five main postponement improvement dimensions: uncertainty, volume, lead time, supply chain design, and environmental sustainability. Moreover, it formalises a set of managerial implications to pragmatically foster the strategic implementation of AM across different postponement scenarios.

Simultaneous Electrochemical Determination of Sildenafil Citrate and Tadalafil Using a Multi Walled Carbon Nanotubes Modified Glassy Carbon Electrode by Adsorptive Stripping Linear Sweep Voltammetry

AbstractAn adsorptive stripping linear sweep voltammetric method was developed for the simultaneous determination of sildenafil citrate and tadalafil. The voltammetric working electrode was a glassy carbon electrode modified with carboxylic multi‐walled carbon nanotubes. The sensitivity of the developed voltammetric method was significantly increased by this modification. Both analytes spontaneously adsorbed on the modified electrode surface due to their adsorption affinities. The irreversible oxidation signals of both analytes were used as the analytical signals. The electrochemical behaviour of sildenafil citrate and tadalafil was assessed using cyclic voltammetry. The developed voltammetric method was linear in the range of 0.01–0.50 μM with a correlation coefficient of 0.9997 and 0.9985 for sildenafil citrate and tadalafil, respectively. The LOQs of the method for both analytes were 0.010 μM. The intra‐ and inter‐day reproducibility of the method was less than 10% RSD in all cases. The extraction recoveries for both analytes ranged between 83 and 94%. The applicability of the developed voltammetric method were investigated by determining the analyte in two different spiked samples (an energy drink and a traditional herbal product). Furthermore, the described method would represent the first electrochemical approach for the simultaneous detection of sildenafil citrate and tadalafil, providing an available alternative to current chromatographic techniques.

Literacy Deep Reinforcement Learning-Based Federated Digital Twin Scheduling for the Software-Defined Factory

As user requirements become increasingly complex, the demand for product personalization is growing, but traditional hardware-centric production relies on fixed procedures that lack the flexibility to support diverse requirements. Although bespoke manufacturing has been introduced, it provides users with only a few standardized options, limiting its ability to meet a wide range of needs. To address this issue, a new manufacturing concept called the software-defined factory has emerged. It is an autonomous manufacturing system that provides reconfigurable manufacturing services to produce tailored products. Reinforcement learning has been suggested for flexible scheduling to satisfy user requirements. However, fixed rule-based methods struggle to accommodate conflicting needs. This study proposes a novel federated digital twin scheduling that combines large language models and deep reinforcement learning algorithms to meet diverse user requirements in the software-defined factory. The large language model-based literacy module analyzes requirements in natural language and assigns weights to digital twin attributes to achieve highly relevant KPIs, which are used to guide scheduling decisions. The deep reinforcement learning-based scheduling module optimizes scheduling by selecting the job and machine with the maximum reward. Different types of user requirements, such as reducing manufacturing costs and improving productivity, are input and evaluated by comparing the flow-shop scheduling with job-shop scheduling based on reinforcement learning. Experimental results indicate that in requirement case 1 (the manufacturing cost), the proposed method outperforms flow-shop scheduling by up to 14.9% and job-shop scheduling by 5.6%. For requirement case 2 (productivity), it exceeds the flow-shop method by up to 13.4% and the job-shop baseline by 7.2%. The results confirm that the literacy DRL scheduling proposed in this paper can handle the individual characteristics of requirements.

A comprehensive review on agricultural greenhouse gas emission reductions in China: opportunities and challenges

China is the world’s largest carbon emitter. Reducing greenhouse gas emissions from agriculture, one of the main sources, is a channel for achieving China’s carbon peaking and carbon neutrality targets on schedule. To clarify the status and prospects of greenhouse gas (GHG) emissions reduction in Chinese agriculture, this paper focuses on macro-level factors such as policies, economy, society, and technology, meso-level factors such as agricultural digital transformation and carbon trading market construction, and micro-level factors such as individual farmers and household influences on agricultural emissions reduction. Therefore, this article examines the strengths, weaknesses, opportunities, and threats in China’s agricultural greenhouse emission reductions by SWOT. It is concluded that optimized industrial structure and technological progress are strengths, while weak low-carbon awareness among farmers and the limitations of traditional small-scale production methods are weaknesses. Aligning with national development direction, absorbing foreign experiences, and integrating with digitization are opportunities. The imbalance between the economy and emission reduction and the significant regional differences are the threats. Overall, China’s efforts are on the right track, but urgent action is needed to improve the quality of farmers and transform the agricultural economy, which requires fundamental changes. Based on this, suggestions are proposed for farmers, businesses, and government from four aspects: promoting and expanding pilot demonstration areas for agricultural carbon sequestration trading, building regionally superior agricultural products and specialty industries, synergistic cooperation for technology development and promotion, improving farmer educational level in the form of agricultural cooperatives, so as to help balance economic and environmental benefits in reducing agricultural GHG emissions.

Traditional and modern methods of construction: Comparative study of the sustainability of single‐family homes

AbstractModern construction methods, such as additive manufacturing, are aimed to enhance the efficiency and quality of construction processes while potentially reducing waste generation and material use, thus contributing to sustainability performance (SP). However, comprehensively understanding the sustainability trade‐offs associated with these methods is crucial for guiding both research and practical applications toward sustainable development. This study aims at quantifying the SP of various construction methods for housing, including traditional, prefabricated, and additive manufacturing approaches. A sustainability index, integrating economic, environmental, social, and technological criteria, is utilized to assess different alternatives. Findings reveal promising aspects of 3D printing technologies, such as potential cost reductions through scale increase and process optimization, minimized material waste generation, creation of skilled employment opportunities, and enhanced construction flexibility and ease. Nevertheless, challenges persist, notably significant greenhouse gas emissions and limited supplier availability. Addressing these challenges is imperative for advancing the sustainable implementation of additive manufacturing in construction.

Evaluation of the Sensory Quality and Shelf Life of a Bioactive Essence Rich in Monounsaturated Fatty Acids and Antioxidants, Obtained from Eco-Sustainable Iberian Ham

Food sustainability through traditional food production and the reuse of food by-products is one of the characteristics most valued by consumers. The production of Iberian ham is linked to the vaporization and sustainability of the dehesa and the conservation and maintenance of the rural environment, but there are some by-products that are not destined for direct consumption. In this context, previous studies have used trimmed fat to obtain a bioactive essence rich in antioxidants and monounsaturated fatty acids. Furthermore, it is important to keep in mind that the consumer’s decision is influenced by the nutritional/health and sensory characteristics of the product and its shelf life. The objective of the present study was to evaluate consumer acceptance and/or preference of different essences obtained from the trimmed fat of sliced Iberian ham and to determine the microbiological and physicochemical stability of the selected sustainable essence over time. The results showed that this essence is generally accepted by consumers and is microbiologically stable over time.

Energy budget and economic analysis of modern and traditional wheat production systems in Kurdistan province of Iran

This study was conducted to analyze input-output energies and economic analysis of modern and traditional wheat production systems of Kurdistan province, Iran. Data were collected from 100 dryland and 100 irrigated wheat fields. The fields were selected randomly, and inquiries conducted in a face-to-face interview from May up to August next year. The results showed that total energy inputs, energy use efficiency, and specific energy were 49,956 MJ ha-1, 2.4, and 4.9 MJ kg-1 in modern irrigated wheat system, respectively, 19,064 MJ ha-1, 3.4, and 3.4 MJ kg-1 in traditional irrigated wheat system, 16,598 MJ ha-1, 1.7, and 6.7 MJ kg-1 in modern dryland wheat system, and 14,471 MJ ha-1, 1.99 and 5.75 MJ kg-1 in traditional dryland wheat system, respectively. The economic analysis revealed that the total cost of production and net return were 546.5 and 1,448.6 USD ha-1 in modern irrigated wheat, 206.4 and 844.7 USD ha-1 in traditional irrigated wheat, 230.5 and 237.6 USD ha-1 in modern dryland wheat and 185.2 and 266.1 USD ha-1 in traditional dryland wheat systems, respectively. The results of this study showed that the modern wheat production system uses more energy compared to that by the traditional wheat production system. Thus, the wheat producers are advised to adopt modern wheat production systems with some caution.

THE ROLE OF EXPERT SYSTEMS WITHIN ARTIFICIAL INTELLIGENCE

Expert systems (ES) arose as a significant practical result in the application and development of artificial intelligence methods - a set of scientific disciplines that study methods for solving problems of an intellectual (creative) nature using a computer. From the beginning of its development, the field of artificial intelligence has considered several very complex problems, which, along with others, are still the subject of research: automatic theorem proofs, machine translation, image recognition, planning, game algorithms, strategies, etc. In modern understanding, an expert system is a set of programs that perform the functions of an expert when solving problems from a certain subject area. Expert systems advise, conduct analysis, provide consultations, and diagnose. The practical use of expert systems in enterprises contributes to work efficiency and improved qualifications of specialists. When creating expert systems, several difficulties arise. This is primarily because the customer cannot always accurately formulate his requirements for the system being developed. It is also possible that difficulties of a purely psychological nature may arise when creating a knowledge base of a system, an expert may hinder the transfer of his knowledge, fearing that he will subsequently be replaced by a “machine”. But these fears are not justified, since expert systems are incapable of learning, they do not have common sense or intuition. Currently, expert systems are being developed that implement the idea of self-learning. Advantages of an ES over a human expert. Knowledge-based systems have certain advantages over human experts: they have no prejudices, they don't rush to conclusions, these systems work systematically, looking at all the details, often choosing the best alternative from all possible ones,the knowledge base can be very, very large, once entered the machine, the knowledge is stored forever, a person has a limited knowledge base, and if data is not used for a long time, then it is forgotten and lost forever. Knowledge-based systems are resistant to “interference.” The expert uses collateral knowledge and is easily influenced by external factors that are not directly related to the problem being solved. ES that are not burdened with knowledge from other areas is, by their nature, less susceptible to “noise.” Over time, knowledge-based systems may be viewed by users as a type of replication - a new way of recording and disseminating knowledge. Like other types of computer programs, they cannot replace a person in solving problems but rather resemble tools that enable him to solve problems faster and more efficiently. These systems do not replace a specialist but are a tool in his hands. The modern idea of expert systems is given in the article. Their differences from traditional software products are shown, and advantages and disadvantages are considered. A conclusion is drawn about the perspectives of development. Keywords: information technology, expert systems, knowledge base, knowledge processing algorithm.

“Cultural In-Betweenness” in Borderland Films of Malaysian and Indonesian Cinemas

ABSTRACT This paper examines cinematic representations of the borderlands between Malaysia-Thailand and Malaysia-Indonesia in the twenty-first century. The films focusing on the region explore problematic issues such as the intersection of traditions, issues of identity and belonging, the modern nation-state system, and the citizens in these peripheral areas. This paper employs film discourse analysis, and the ideas discussed herein are crucial to the national cinemas of the region, as they operate in a manner akin to Deleuze and Guattari’s concepts of the war machine, the smooth space, and nomadology. These representations raise questions about uneven power dynamics between the hegemonic center and the peripheral other. This investigation analyses two films: Batas (Rudi Soedjarwo, 2011) from Indonesia and Bunohan: Return to Murder (Dain Said, 2012) from Malaysia. This paper argues that the portrayal of borderlands and borders challenges the stability of inwardly focused and ethnocentric national cultural identities by presenting the borderlands of this island region as nomadic spaces, conveying a nomadic ethos and a sense of “in-betweenness” among its people.

Consumers' Expectations of Liking, Emotional, Conceptual and Sustainability Characteristics of Dairy, Plant‐Based and Sustainable Yoghurts

ABSTRACTAn online survey of consumers' liking, emotional, conceptual and sustainability expectations in response to traditional, plant‐based (PB), and sustainable yoghurt product names was conducted with 1206 New Zealanders. Results showed that consumers' sensory expectations are associated with hedonic and non‐sensory expectations. Consumers' sensory, emotional, conceptual and sustainability ideations and the impact of these variables on expected liking parallel the findings from recent tests of tasted yoghurts. Per cognitive theories of predictive processing, the results support the hypothesis that judgments of sensory expectations may provide important insights into likely product perceptions. The results also support the notion that surveys of consumer product expectations can be a tool to obtain consumer insights about new products, including PB and sustainable alternatives. Since sensory expectations were associated with non‐sensory expectations, modifying the sensory attributes of PB or other innovative yoghurt products may enhance consumers' conceptualizations of these products and improve their market acceptance.

Artificial Neural Network Model to Predict the Exportation of Traditional Products of Colombia

This article develops the design, training, and validation of a computational model to predict the exportation of traditional Colombian products using artificial neural networks. This work aims to obtain a model using a single multilayer neural network. The number of historical input data (delays), the number of layers, and the number of neurons were considered for the neural network design. In this way, an experimental design of 64 configurations of the neural network was performed. The main arduousness addressed in this work is the significant difference (in tons) in the values of the considered products. The results show the effect that occurs due to the different range values, and one of the proposals made allows this limitation to be handled appropriately. In summary, this work seeks to provide essential information for formulating a model for efficient and practical application.

Occurrence and exposure to polycyclic aromatic hydrocarbons (PAHs) in traditional dry-cured or smoked meat products from Brazil

Polycyclic aromatic hydrocarbons (PAHs) are classified as environmental and food contaminants, with several adverse health effects, especially genotoxic and carcinogenic actions. In processed meats, they are the major contaminants, especially those subjected to smoking processes. Considering that the population is exposed to PAHs through several routes, and that the ingestion of contaminated food is considered the main one, evaluating the concentrations of these contaminants in food becomes essential, as well as the exposure and risk to the population at different ages through ingestion of the evaluated products. In the current study, the levels of nine PAHs (PAH9) were measured in 205 processed meat products commercially available and with high consumption in Brazil. The methodology involved saponification, extraction with n-hexane, purification with solid-phase extraction (SPE) silica cartridges, and quantification by liquid chromatography with fluorescence detection. In general, 83% of all samples were contaminated with at least one of the studied PAHs, and the measured PAH9 levels ranged between < LOQ-108.24 µg/kg. The highest mean of total PAHs was found in smoked sausage (108.24 μg/kg), while the lowest content was found in ham (1.83 μg/kg). Benzo[a]pyrene (BaP) and PAH4 (benz[a]anthracene, chrysene, benzo[b]fluoranthene, and BaP) exceeded the maximum permissible limits of the European Union (EU) in three (1.5%) and 18 samples (8.7%), respectively. The results of margin of exposure results (MOE ≥ 10,000) and incremental lifetime cancer risk (ILCR) values (10 − 6 < ILCR < 10 − 4) in all ten types of meat indicated there were low significant potential health problems related to meat products consumption for the Brazilian population.Graphical

Impact of Digital Villages on Agricultural Green Growth Based on Empirical Analysis of Chinese Provincial Data

The construction of digital villages has progressed in tandem with the transformation of traditional production methods, offering new perspectives for agricultural green growth and sustainable development. This study employs the entropy value method alongside the super-efficient global SBM (Slacks-Based Measure) mixed function model, which assesses efficiency by accounting for both inputs and outputs, thereby facilitating a comprehensive evaluation of agricultural green growth. This methodology facilitates the examination of the correlation between digital villages and agricultural green growth, as well as the influence of digital villages on this growth. Furthermore, the utilization of financial resources is employed as a mediating variable to elucidate the mechanism of action. The utilization of green finance and agricultural insurance can be facilitated by the establishment of digital villages, and that has been shown to promote agricultural green growth. Additionally, the promotion of agricultural green growth by digital village construction is stronger in middle-altitude regions, non-grain-producing regions, and regions where the digital literacy of the rural labor force is higher than average, as well as areas where the use of agricultural film is higher than average. Accelerating the construction of digital villages and promoting the utilization of rural financial resources while adapting the digital village development to local conditions are crucial for effectively fostering agricultural green growth and sustainable agricultural development.

Optimal Bundling Cooperation Strategies for Online Paid Membership Programs

ABSTRACTPaid membership programs are popular in Internet firms, and “bundling cooperation for paid memberships” is trendy in their online operations. Unlike traditional product bundling problems, membership bundling between Internet firms presents new characteristics such as member sharing, which brings challenges to profit allocation and partner selection. Despite being a commonly seen business practice, little is known about the optimal bundling strategies and the cooperation mechanisms regarding firms' membership status. To fill this gap, we develop a stylized model that considers the potential added‐value income of membership to analyze the bundling problem between two firms. We show that the optimal bundling strategy depends on firms' original member bases and their ability to mine member value (i.e., value‐monetization ability). We discuss the allocation policy with Nash bargaining and find that the firm may entirely waive its bundled membership fee income and even compensate its partner to achieve cooperation. Surprisingly, a start‐up partner with no member base may be the optimal option. Nevertheless, if there is no such a partner in the market, forming a bundle with a well‐established partner is the right choice. Our findings provide novel managerial insights into bundled membership operations of Internet firms in practice.

Diseminasi dan Akselerasi Percepatan Produksi Jamur Tiram Melalui Studi Kasus Mesin Press Baglog Otomatis di UD Zaida Jamur Tiram

The program for implementing this activity aims to accelerate the production of oyster mushrooms at UD Zaida Oyster Mushrooms through dissemination and implementation of an automatic baglog press machine. This activity was carried out in collaboration between a team from the university and UD Zaida, integrating modern technology into traditional production processes. Through a series of training and workshops, implementation partners can operate machines effectively and understand optimal production management. The results of this activity show a significant increase in production capacity, where UD Zaida was able to increase oyster mushroom production output and reduce production waste. This program has also succeeded in increasing the skills and knowledge of workers, while providing a positive impact on the local economy through increasing income and employment opportunities. The dissemination of automatic baglog press machines has proven to be a sustainable solution that drives efficiency and productivity in the mushroom farming sector. This implementation activity recommends expanding the use of this technology to other regions as an effort to support the growth of the oyster mushroom industry at the national level.

Electrochemical carboxylation: Green synthesis of atrolactic acid using boron-doped diamond electrodes

Electrochemical CO2 fixation is vital for sustainability in the chemical industry, yet the selective synthesis of multi-carbon products remains challenging. Organic electrosynthesis offers promise by enabling precise control over reaction conditions and facilitating novel reactivity patterns. One such technique, electrochemical carboxylation, involves coupling CO2 with organic molecules to produce carboxylic acids. Specifically, electro-carboxylation of acetophenone yields atrolactic acid, a valuable precursor for nonsteroidal anti-inflammatory drugs, providing a greener alternative to traditional production methods. This study focuses on the synthesis and characterization of boron-doped diamond (BDD) films using the microwave plasma-assisted chemical vapor deposition (MP-CVD) method and synthesized BDD electrodes were then used for the electrolytic carboxylation of acetophenone. Various analytical techniques, including X-ray diffraction (XRD), Raman spectroscopy, and laser microscopy, etc. were employed to characterize the BDD films. Various BDD films synthesized for different durations were utilized in the electrolytic carboxylation of acetophenone, with the highest yield of atrolactic acid (25 %) achieved using a BDD film synthesized over 6 h. Also, the effect of BDD surface modification i.e. oxygen and hydrogen terminated BDD on the synthesis of atrolactic acid was studied. Additionally, different electrolytes were employed in the synthesis process of atrolactic acid. A comparative study between Pt and BDD electrodes for the electrolytic carboxylation of acetophenone was conducted, and a mechanism for the formation of atrolactic acid was proposed.

Optimal Strategies for E-Commerce Platform Supply Chain: Carbon Emission Reduction and Financing

In the context of global carbon emission reduction (CER) targets and slowing economic growth, it is imperative for suppliers to make informed choices regarding CER and financing strategies. However, limited research has explored the impact of financing strategies on CER. This paper develops a supply chain model that includes a supplier, a manufacturer, an E-commerce platform (E-C platform), and consumers with a preference for low-carbon products. The supplier sets the wholesale price, while the manufacturer controls both the production quantity and the unit amount of CER. We examine whether the manufacturer will invest in CER with sufficient capital or under various financing scenarios, namely (1) traditional production with sufficient capital (Scenario ST); (2) CER implementation with sufficient capital (Scenario SG); (3) CER implementation with E-C platform financing (Scenario EG); (4) CER implementation with bank financing (Scenario BG). Through comparative analysis, the analysis reveals that, regardless of the financing method chosen, the supplier’s profit and the manufacturer’s production quantity increase when the manufacturer invests in CER technology innovation compared to the traditional scenario. Furthermore, in terms of the manufacturer’s profit, if the service cost of bank financing exceeds a certain threshold, the manufacturer should either seek financing from the E-C platform or abandon the CER investment. Additionally, with respect to CER outcomes, Scenario BG outperforms Scenario EG. These findings provide a theoretical foundation and decision-making support for supply chain participants when addressing carbon reduction and financing strategy decisions.

Candida species covered from Traditional Cheeses: Characterization of C. albicans Regarding Virulence Factors, Biofilm Formation, Caseinase Activity, Antifungal Resistance and Phylogeny

This study has provided characterization data (carriage of virulence, antifungal resistance, caseinase activity, biofilm-forming ability and genotyping) of Candida albicans isolates and the occurrence of Candida species in traditional cheeses collected from Kayseri, Türkiye. Phenotypic (E-test, Congo red agar and microtiter plate tests) and molecular tests (identification, virulence factors, biofilm-formation, antifungal susceptibility) were carried out. The phylogenetic relatedness of C. albicans isolates was obtained by constructing the PCA dendrogram from the mass spectra data. Of 102 samples, 13 (12.7%) were found to be contaminated with C. albicans, 15 (14.7%), 10 (9.8%) and five (4.9%) were found to be contaminated with C. krusei, C. lusitane and C. paraplosis, respectively. While seven (16.2%) of 43 Candida spp. isolates were obtained from cheese collected from villages, 36 (83.7%) belonged to cheeses collected from traditional retail stores. The carriage rate of C. albicans isolates belonging to virulence factors HSP90 and PLB1 genes was 30.7%. ALST1, ALST3, BCR, ECE, and HWP (virulence and biofilm-associated) genes were harbored by 30.7%, 23%, 38.4%, 53.8%, and 38.4% of the 13 isolates. According to the microplate test, eight (61.5%) of 13 isolates had strong biofilm production. ERG11 and FKS1 (antifungal resistance genes) were found in 46.1% and 23% of 13 isolates, respectively. Due to missense mutations, K128T, E266D and V488I amino acid changes were detected for some isolates regarding azole resistance. As a result of the E-test, of the 13 isolates, one (7.6%) was resistant to flucytosine, four (30.7%) were resistant to caspofungin, and nine (69.2%) were resistant to fluconazole. The PCA analysis clustered the studied isolates into two major clades. C. albicans isolates of traditional cheese collected from villages were grouped in the same cluster. Among the C. albicans isolates from village cheese, there were those obtained from the same dairy milk at different times. Samples from the same sales points produced at different dairy farms were also contaminated with C. albicans. Concerning food safety standards applied from farm to fork, in order to prevent these pathogenic agents from contaminating cheeses, attention to the hygiene conditions of the sale points, conscious personnel, prevention of cross contamination will greatly reduce public health threats in addition to the application of animal health control, milking hygiene, pasteurization parameters in traditional cheese production.