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This study aims to determine the production process and the level of consumer acceptance of Bandung nagasari cake utilizing stevia as a natural sweetener and butterfly pea flower extract (Clitoria ternatea) as a natural coloring agent. The research employed a quantitative approach with an experimental method through organoleptic testing involving 20 panelists. Data collection techniques consisted of literature review, questionnaires, and organoleptic evaluation covering taste, texture, aroma, and appearance. The obtained data were analyzed using descriptive quantitative analysis with percentage calculations. The findings indicated that the Bandung nagasari formulation containing stevia and butterfly pea flower extract was more preferred than the formulation using granulated sugar. Approximately 90% of panelists preferred the taste attribute due to its healthier perception, while 80% of panelists favored the texture, aroma, and appearance attributes because of the softer texture and the attractive natural coloration produced by the butterfly pea flower extract. Furthermore, the product demonstrated a shelf life of 12 hours at room temperature and up to 3 days under refrigerated storage conditions. The study concludes that the incorporation of stevia and butterfly pea flower extract may serve as an innovative development of traditional Bandung nagasari cake without eliminating its traditional characteristics and shows favorable consumer acceptance.

Granola bar is an instant snack product in the form of a bar that has high nutritional value and generally commercial products use imported ingredients such as oats and almonds, but can be developed using local food ingredients such as Job's Tears seeds and walnuts that have high nutritional content such as carbohydrates, protein, fiber, fat, and antioxidants. This study aims to obtain the ratio of Job's Tears seeds and walnuts to produce granola bars with the best physicochemical and organoleptic characteristics. The method used is a Randomized Block Design (RBD) with one treatment factor in the form of the ratio of Job's Tears seeds and walnuts (100:0, 80:20, 70:30, 60:40, and 50:50) with five replications to obtain 25 experimental units. Data were analyzed using Analysis of Variance (ANOVA) and Honestly Significant Difference (HSD) test. The results showed that the ratio of Job's Tears seeds and walnuts significantly affected the levels of fat, protein, carbohydrate, total calories, as well as organoleptic attributes including taste, aroma, texture, and overall preference. This research contributes to efforts Granola bar is an instant snack product in the form of a bar that has high nutritional value and generally commercial products use imported ingredients such as oats and almonds, but can be developed using local food ingredients such as Job's Tears seeds and walnuts that have high nutritional content such as carbohydrates, protein, fiber, fat, and antioxidants. This study aims to obtain the ratio of Job's Tears seeds and walnuts to produce granola bars with the best physicochemical and organoleptic characteristics. The method used is a Randomized Block Design (RBD) with one treatment factor in the form of the ratio of Job's Tears seeds and walnuts (100:0, 80:20, 70:30, 60:40, and 50:50) with five replications to obtain 25 experimental units. Data were analyzed using Analysis of Variance (ANOVA) and Honestly Significant Difference (HSD) test. The results showed that the ratio of Job's Tears seeds and walnuts significantly affected the levels of fat, protein, carbohydrate, total calories, as well as organoleptic attributes including taste, aroma, texture, and overall preference. This research contributes to efforts to diversify local Indonesian food as raw materials for highly nutritious functional food products diversify local Indonesian food as raw materials for highly nutritious functional food products.

Purchase decisions represent a consumer’s process of selecting a product or service among various available alternatives. This study investigates the determinants of batik purchasing decisions in the modern market context, emphasizing shopping experience, traditional product quality, and brand image at the Tinularsih Batik Outlet in Temanggung. The study involved a population of 500 consumers, with a sample of 83 respondents selected using the Slovin formula. The empirical results reveal that traditional product quality has a significant positive effect on purchase decisions, while shopping experience shows a positive yet statistically insignificant influence. Furthermore, brand image does not significantly affect consumer purchase decisions. Theoretically, this study enriches consumer behavior literature by demonstrating that traditional product attributes remain a dominant factor influencing purchase decisions in culturally rooted industries such as batik. From a managerial perspective, the findings highlight the need for batik retailers to prioritize consistent product quality and authenticity, while also enhancing experiential elements and strengthening brand positioning to remain competitive in the modern marketplace.

Traditional fermented foods made from glutinous rice play a significant role in Indonesia’s local food system, with fermented glutinous rice known as tape ketan being one of the most popular products. Tape ketan is produced through a fermentation process using traditional starter cultures that involve diverse microorganisms, resulting in distinctive sensory characteristics. This review article aims to examine and synthesize previous studies related to the fermentation process of tape ketan and the characterization of metabolites formed during fermentation. The study employed a qualitative approach with descriptive analysis based on a literature review of relevant national and international scientific journals. The findings indicate that tape ketan fermentation involves starch hydrolysis, sugar fermentation, and the formation of primary and secondary metabolites influenced by fermentation time and microbial composition. Primary metabolites such as simple sugars, organic acids, and alcohol contribute to the basic sensory attributes of the product, while secondary metabolites including phenolic compounds and bioactive components enhance its functional potential. The characterization of these metabolites demonstrates that tape ketan is not only a traditional fermented food but also has promising potential for development as a value-added functional food based on local wisdom.

This study aims to elaborate on the mechanism of product design, word of mouth (WOM), price perception, and product quality on purchase decisions, with brand image serving as a mediating variable. The research focuses on consumers of Ogel-Ogel, a traditional snack product from Pemalang. Utilizing a quantitative descriptive method, data were gathered from 100 respondents through purposive and accidental sampling techniques. Data analysis employed path analysis and the Sobel test to measure the strength of the mediation effect. The results reveal that, partially, all independent variables and brand image exert a positive and significant influence on purchase decisions. The most crucial finding indicates that brand image acts as an effective mediating bridge, reinforcing the transformation of physical product attributes and social recommendations into actual purchasing actions. This underscores that for MSMEs in the culinary sector, visual uniqueness and quality are insufficient without consistent brand reputation management. This research provides strategic contributions for local product managers in integrating traditional marketing elements with brand equity strengthening to navigate an increasingly competitive market.

In Surabaya City, the City Government through the Transportation Agency developed the Suroboyo Bus and Trans Semanggi programs to address traffic congestion, limited public transportation, and the need for safe, comfortable, and environmentally friendly transportation. However, complaints are still found regarding limited facilities, irregular schedules, and suboptimal communication services, so that service performance evaluation is needed from the user's perspective. This study aims to analyze the performance of Suroboyo Bus and Trans Semanggi public transportation services at the Surabaya City Transportation Agency using five public service performance indicators according to Dwiyanto et al. (2021), namely productivity, service quality, responsiveness, responsibility, and accountability. The approach used is quantitative with the Importance Performance Analysis (IPA) method. The results of the study show an average expectation score (importance) of 4.18 and a reality score (performance) of 3.86 with an overall gap of -0.32, which means that the performance of Suroboyo Bus and Trans Semanggi services still does not meet public expectations. Through the IPA mapping, three attributes are in Quadrant I (high priority): the friendly and professional attitude of staff, the adequacy of on-board facilities, and the transparency of official information regarding schedules and service changes. A total of 13 attributes are in Quadrant II (maintained), 13 attributes in Quadrant III (low priority), and one attribute in Quadrant IV (excessive).

The retail industry generates an extremely large and continuously growing volume of transactional data along with the advancement of digital technology, thereby requiring sophisticated and systematic data analysis approaches to support effective and evidence-based business decision-making. This study aims to analyze retail sales data by utilizing the Retail Sales Dataset obtained from the Kaggle platform, which consists of 100,000 transaction records and broadly represents the characteristics of retail transactions. The main focus of this study is to classify product categories and predict customer segments, including the identification of high-spending customers (high spenders), based on demographic attributes such as age and gender, as well as various transaction-related features. The research methodology includes data preprocessing, label encoding, and feature engineering to generate additional variables, including Age_Group, Is_Holiday, and Spender_Group, which are expected to enhance the predictive capability of the models. Several machine learning algorithms, namely Decision Tree, Random Forest, and XGBoost, were implemented and evaluated to compare their respective performance. The experimental results indicate that multiclass product category classification achieves relatively low accuracy, ranging from 27% to 34%. These findings suggest the high complexity of retail data and highlight the need for further model optimization, class balancing techniques, and feature refinement to improve predictive performance in future studies.

This study aims to improve the quality of gallon water products and strengthen the competitiveness of CV. Anugerah Gemilang through the implementation of Quality Function Deployment (QFD) using the House of Quality (HoQ). The QFD approach is employed to translate the Voice of Customer (VoC) into technical product characteristics as well as service quality attributes that influence customer satisfaction. The research method applied is quantitative-descriptive with the support of qualitative data. Quantitative data were collected through questionnaires distributed to customers to measure the importance and satisfaction levels regarding product and service attributes, while qualitative data were obtained through in-depth interviews to reinforce and validate the questionnaire results. Subsequently, the VoC data were analyzed using the HoQ matrix to determine quality improvement priorities based on customer importance weights. This study is expected to produce strategic recommendations in the form of prioritized product and service quality enhancements focused on customer satisfaction, thereby supporting the sustainable improvement of the company’s competitiveness.

This study aims to improve the quality of gallon water products and strengthen the competitiveness of CV. Anugerah Gemilang through the implementation of Quality Function Deployment (QFD) using the House of Quality (HoQ). The QFD approach is employed to translate the Voice of Customer (VoC) into technical product characteristics as well as service quality attributes that influence customer satisfaction. The research method applied is quantitative-descriptive with the support of qualitative data. Quantitative data were collected through questionnaires distributed to customers to measure the importance and satisfaction levels regarding product and service attributes, while qualitative data were obtained through in-depth interviews to reinforce and validate the questionnaire results. Subsequently, the VoC data were analyzed using the HoQ matrix to determine quality improvement priorities based on customer importance weights. This study is expected to produce strategic recommendations in the form of prioritized product and service quality enhancements focused on customer satisfaction, thereby supporting the sustainable improvement of the company’s competitiveness.

This study compares the effectiveness of MAUT (Multi-Attribute Utility Theory), SMART (Simple Multi-Attribute Rating Technique), and WASPAS (Weighted Aggregated Sum Product Assessment) methods in a decision support system for determining the best employees at Sisilia Boutique. The quality of human resources is crucial in the retail business, but performance evaluation is often influenced by subjectivity. To address this, a multi-criteria-based decision support system is needed. MAUT translates preferences into a numerical scale, SMART calculates the average value of attributes based on weights, while WASPAS combines weighted summation (WSM) and weighted multiplication (WPM) for more balanced results. Employee performance data from Sisilia Boutique in June 2025, including attendance, store layout, customer service, and discipline, were used as the research object. The comparison results show consistency in the highest (K3) and lowest (K7) ratings across the three methods, with differences in the middle ratings. WASPAS offers a more balanced distribution of final scores, making it a comprehensive alternative for performance evaluation.

The rapid development of digital streaming platforms such as Netflix has generated a large volume of content data with diverse characteristics, thereby requiring effective analytical methods to understand emerging patterns and trends. This study aims to classify Netflix content into two main categories, namely movies and television shows, and to analyze genre trends and content characteristics using a data mining approach with the Naive Bayes algorithm. The dataset used in this study is the Netflix Shows dataset, consisting of 8,809 content entries, with the primary features analyzed including genre, rating, and country of production. The research process begins with data exploration and preprocessing stages, including data cleaning, handling missing values, and transforming categorical features to enable effective model construction. Subsequently, the dataset is divided into training and testing sets to objectively and systematically build and evaluate the Naive Bayes classification model. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics to assess the model’s ability to accurately distinguish between Netflix content types. The experimental results demonstrate that the Naive Bayes algorithm is able to classify Netflix content into Movie and TV Show categories with accuracy, precision, recall, and F1-score values of 100%, respectively. The confusion matrix indicates that no misclassification occurred, suggesting that genre, rating, and country of production features provide a very clear separation between content classes. These findings indicate that the Naive Bayes algorithm can achieve exceptionally high classification performance with optimal evaluation results. The results further reveal distinct differences in characteristics between movies and television shows based on genre and production attributes. Therefore, this study is expected to contribute to the development of content recommendation systems and strategic content management within the streaming industry.

In Indonesia, micro, small, and medium enterprises (MSMEs) have long been recognized as a very important business sector due to their various real roles in the economy. However, MSMEs often face many obstacles in running their businesses. More incentive support from various parties, especially the government, is needed for the development of MSMEs. In order to overcome the problems faced by MSMEs and support their sustainability, a KKU (Business Field Study) activity was carried out by Group 15 at the KKU-11 of the Institute of Technology and Business (ITB) Adias Pemalang at the MSME “Ev_Kids Product.”After conducting an observation phase, several problems faced by the SME were identified, including the lack of social media for marketing, failure to calculate the Cost of Goods Sold (COGS) and maintain simple accounting records, absence of a business logo, banners, promotional image designs, organizational structure, business profile, product catalog, stamps, receipt books, and product attributes. Additionally, the SME had never produced a production video or promotional video.After conducting the observation phase, KKU actors formulated several business development assistance programs, namely creating social media accounts, calculating the Cost of Goods Sold (COGS), creating simple bookkeeping, creating a business logo, banners, promotional image designs, organizational structure, business profile, product catalog, stamps, note books, and product attributes in the form of hangtags. They also created production videos and promotional videos.

Job placement is a brief and concise summary of the process of placing employees in positions that match their expertise, skills, and knowledge within an organization. Human capital refers to the knowledge, skills, competencies, and attributes of individuals that contribute to economic and social performance. Teamwork is one of the important factors in increasing effectiveness and productivity in an organizational environment. Employee performance is one of the main indicators in determining the success and competitiveness of an organization. This study aims to analyze the effect of job placement, human capital, and teamwork on employee performance at PT. Faithfull The Brand. This study was conducted at PT. Faithfull The Brand. The research population was employees of PT. Faithfull The Brand. The sample in this study was 87 respondents who were determined based on the Slovin formula. The data analysis technique used was multiple linear regression analysis using the SPSS program. The results of testing the hypothesis stated that job placement had a positive and significant effect on employee performance at PT. Faithfull The Brand, human capital had a positive and significant effect on employee performance at PT. Faithfull The Brand, and teamwork had a positive and significant effect on employee performance at PT. Faithfull The Brand.

The development of value-added corn-based beverages representation an emerging opportunity within the agribusiness sector, particularly for student-led entrepreneurial initiatives seeking to utilize local agricultural resources. This study examines consumer perceptions of Zeagrain corn milk, a sweet-corn-derived drink positioned as a healthy, practical, and affordable alternative within the ready-to-drink market segment. The research aims to identify key attributes influencing consumer interest, evaluate perceived product performance, and assess the potential competitiveness of Zeagrain as a new agribusiness product. Data were collected using an online quantitative survey targeting respondents aged 17–35 years who represent potential urban consumers. The questionnaire measured demographic characteristics, consumption patterns of similar beverages, perceived importance and performance of product attributes, and purchase intention. The findings are expected to provide insights into consumer expectations regarding taste, packaging, nutritional value, and price. The results further serve as empirical input for improving product development strategies and enhancing the market readiness of Zeagrain. Ultimately, this study contributes to strengthening the commercialization prospects of corn-based beverages and supports innovation efforts among young agripreneurs seeking to optimize local commodities.  

Laskar Buah is a modern retail chain specializing in the sale of fresh fruit. At present, the company operates one hundred branches across ten regencies. One of its outlets, Laskar Buah Ngumpakdalem, ranks among the top three branches in terms of transaction volume; however, it has received a considerable number of customer complaints regarding the quality of service provided. This situation has prompted management to conduct a thorough evaluation of the store’s service quality.This study was conducted with the aim of analyzing and evaluating service quality using the Importance–Performance Analysis (IPA) method based on the Retail Service Quality Scale (RSQS). The results of the IPA analysis were subsequently used as a foundation for determining priority areas for service improvement.The findings reveal that four service attributes fall within Quadrant B, indicating that they should be prioritized for immediate improvement. These attributes include the cleanliness of the shopping area, store layout, employee product knowledge, and product quality. Additionally, twelve attributes fall under Quadrant C, where performance should be maintained due to their already strong results. On the other hand, eleven attributes fall into Quadrant A, meaning they are considered lower  priority, while one attribute is located in Quadrant D, suggesting that Laskar Buah Ngumpakdalem is providing excessive performance in that particular aspect.

The present study was conducted to assess consumer acceptability of taro-based kue talam supplemented with dragon fruit peel and to describe the ingredient composition and nutritional content of the preferred formulation. An experimental design comprising three formulations was employed. The resulting products were subjected to an organoleptic evaluation by untrained panelists, covering the attributes of color, aroma, taste, texture, and overall acceptability. The findings indicated that Formula A received the highest preference scores. The bottom layer of Formula A consisted of 650 g taro, 130 g dragon fruit peel, 250 ml coconut milk, 110 g tapioca flour, 230 g rice flour, 250 g granulated sugar, ½ tsp salt, and 1 tsp vanilla. The top layer comprised 350 ml coconut milk, 25 g granulated sugar, 30 g tapioca flour, 60 g rice flour, and ½ tsp salt. Nutritional analysis per 100 g of product revealed carbohydrate and protein contents of 48.45% and 2.515%, respectively. The study concludes that taro-based kue talam enriched with dragon fruit peel has promising acceptability and may be considered a potential innovation in local tuber-based food products. Further research is recommended to include cost analysis for pricing determination.

This study investigates the influence of Brand Image, Product Quality, and the use of Social Media on consumers’ purchasing decisions to Wardah facial cream. Using a quantitative method with purposive sampling technique, this study involved 120 Wardah product users in the West Semarang area. Data were collected through an online questionnaire and processed using SmartPLS 4.0. The results indicate that product quality and social media usage have a positive and significant effect on purchasing decisions, whereas brand image shows a positive but insignificant effect. This suggests that consumers tend to prioritize tangible attributes such as product quality and active engagement through social media over brand perception The model explains 75.2% of the variance in purchasing decisions (Adjusted R² = 0.752), highlighting the strong explanatory power of the variables examined. Practically, the findings suggest that marketers should prioritize product quality and optimize social media campaigns to boost customer engagement and loyalty, while reassessing brand perception strategies.

Indonesia, as an archipelagic nation, faces considerable challenges in meeting its food requirements in accordance with Law No. 18 of 2012 on Food Security. The country’s heavy reliance on wheat imports, ranking as the largest wheat importer globally, highlights the urgency of diversifying local food sources. This study aims to explore the utilization of jali flour (Coix lacryma-jobi L.), mocaf flour (Modified Cassava Flour), and soybean flour as raw materials for producing fettucini pasta, with the addition of green spinach extract for natural coloring and nutritional enhancement. A quantitative experimental method was employed, testing three formulations of jali and mocaf flour combined with soybean flour. Sensory evaluations were conducted with 35 panelists—comprising trained, semi-trained, and untrained participants—to assess color, aroma, taste, texture, and overall acceptability. The findings revealed that flour composition significantly influenced pasta’s sensory attributes. The F2 formulation (50% jali flour, 50% mocaf flour, 20% soybean flour) achieved the highest acceptance, with average scores across all parameters rated as “liked” to “highly liked.” The incorporation of spinach extract not only imparted an appealing natural green hue but also enhanced the product’s nutritional profile, particularly in iron and dietary fiber content. These results underscore the potential of combining jali and mocaf flours as a nutritious, gluten-free pasta alternative that supports local food diversification and reduces reliance on imported wheat.

The footwear industry has experienced significant growth, particularly in the fashion segment, where shoes are no longer considered solely as functional items but also as lifestyle products that reflect personal identity and social expression. Among various global brands, Dr. Martens has become one of the premium footwear products with a distinctive image and loyal consumer base. This study aims to examine the influence of Product Quality, Brand Image, and Brand Awareness on Purchasing Decisions of Dr. Martens shoes in Jakarta. The research employed a quantitative method with non-probability sampling, using the accidental sampling technique. The population consisted of consumers who had purchased Dr. Martens shoes, and a total of 100 respondents were collected through questionnaires distributed among university students. The instrument used was a Likert scale questionnaire, and the data were analyzed using multiple linear regression with SPSS version 22. The findings show that Product Quality and Brand Awareness have a positive and significant influence on Purchasing Decisions, while Brand Image does not show a significant effect. These results indicate that consumers are more influenced by tangible product attributes and the level of brand recognition than by brand perception alone. This highlights the importance for premium footwear companies to maintain consistent product quality and strengthen brand awareness strategies, especially through digital marketing channels, to influence purchase behavior. The study contributes to the literature on consumer behavior and provides practical insights for fashion industry players to formulate effective marketing strategies in a competitive market.

The quality of service towards customer satisfaction in the automotive industry of Toyota car transportation in Indonesia is growing rapidly from year to year, especially in big cities in Indonesia this car is very much needed. The market conditions that are becoming wider and market opportunities are everywhere, this results in increasingly open and tight competition competing to be able to meet the needs and demands required by customers, customer satisfaction is a level where the estimated product performance is in accordance with the buyer's expectations and one of the ways of PT Astra International Tbk - TSO Auto2000 Salemba Branch to maintain the quality of service to customers. Customer Satisfaction Index (CSI) is a method for measuring customer satisfaction based on attributes to be measured such as compliance, responsiveness, assurance, and empathy. The purpose of the study is to improve the performance of service, facilities and customer handling of PT Astra International Tbk - TSO Auto2000 Salemba Branch. The overall level of customer satisfaction is in the good category with a CSI value of around 97%, indicating that customers are satisfied with the services provided by PT Astra International Tbk - TSO Auto2000 Salemba Branch. The factors that most influence customer satisfaction are the quality of staff service, including intimidation and speed of service.