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This study analyzes the influence of price, time efficiency, and product quality on ready-mix concrete sales volume at PT Dirgantara Betonindo Batang. This study employed a quantitative method with a causal approach, gathering data through surveys, interviews, and document analysis. A total of 70 respondents were selected using purposive sampling. The outcomes of the multiple linear regression analysis demonstrate that both time efficiency and product quality significantly influence sales volume, while price has a positive but insignificant effect. The regression model can explain 72.2% of the variation in sales volume. These findings provide strategic recommendations for company management in improving efficiency and quality to drive sales

This study aims to examine the effect of sales growth, profitability, capital structure, and corporate social responsibility (CSR) on firm value in companies listed in the LQ45 index during the 2022–2024 period. This research also intends to provide insights for investors in evaluating the factors that influence firm value as a basis for investment decision-making, including sales growth, profitability, capital structure, CSR, and firm value. The population of this study consists of 45 LQ45 companies, with a sample of 32 companies selected using purposive sampling based on specific criteria, resulting in 96 total observations. The research results show that sales growth and CSR do not affect firm value. Meanwhile, profitability and capital structure hurt firm value. This study concludes that sales growth has not yet become a strong fundamental signal for investors, as it does not always reflect sustainable performance. High profitability, in fact, has a negative effect on firm value, which may be due to a mismatch between short-term profits and the long-term prospects expected by investors. A high capital structure signals greater financial risk, thereby reducing investor confidence in the company. Meanwhile, CSR has not had a significant impact on firm value, possibly due to low disclosure quality or a lack of investor attention to sustainability issues.

Penelitian ini bertujuan untuk menganalisis strategi pemasaran PT. Makanan Rakyat Indonesia Kendal dengan pendekatan bauran pemasaran (produk, harga, promosi, dan tempat) serta analisis SWOT. Data diperoleh melalui wawancara dengan pemilik dan karyawan, observasi, serta dokumentasi. Hasil penelitian menunjukkan produk unggulan yaitu kerupuk ABS udang original dengan harga Rp5.000–Rp25.000, distribusi melalui toko offline dan platform online, serta promosi yang memanfaatkan media sosial dan e-commerce. Analisis SWOT menghasilkan lima kekuatan, lima kelemahan, lima peluang, dan lima ancaman. Skor IFAS sebesar 3,23 dan EFAS 3,02 menempatkan perusahaan pada kuadran I (strategi agresif). Data penjualan Januari–April 2025 meningkat 28,8% dibandingkan tahun sebelumnya atau setara Rp147.000.000. Temuan ini membuktikan bahwa penerapan strategi pemasaran berbasis SWOT berpengaruh signifikan terhadap peningkatan penjualan. Rekomendasi penelitian adalah memperluas saluran distribusi, meningkatkan promosi, serta menjaga kualitas pelayanan guna menghadapi persaingan produk sejenis.  

The research aims to develop a system for Zhafirah Cosmetics Store to address operational issues such as manual transaction recording, lack of transaction receipts, and time-consuming documentation processes. A desktop-based sales and purchase information system was developed using a descriptive research method, with data collected through observation and interviews, system analysis conducted using the PIECES framework, and system development following the waterfall model. The implementation results show that the system effectively accelerates transaction recording, minimizes input errors, and generates accurate and efficient reports. It also simplifies the management of product, supplier, and transaction data, thereby supporting managerial decision-making. System testing was conducted using Black Box Testing and User Acceptance Testing (UAT), with UAT results showing an average score of 88.67%, categorized as “Very Good,” indicating strong user acceptance. The implication of this research is an improvement in operational effectiveness and a reduction in data loss risk through the digitization of the store’s business processes.

Penelitian ini bertujuan menganalisis faktor-faktor yang menentukan efektivitas pengelolaan persediaan peralatan rumah tangga pada PT. Star Cosmos Cabang Semarang. Masalah utama yang dihadapi perusahaan adalah stockout berulang pada produk unggulan yang menyebabkan hilangnya penjualan dan menyebabkan konsumen ke pesaing. Pendekatan penelitian menggunakan deskriptif kualitatif dengan pengumpulan data melalui studi pustaka, wawancara, dokumentasi, serta triangulasi. Hasil penelitian menunjukkan bahwa efektivitas pengelolaan persediaan dipengaruhi oleh tiga faktor utama, yaitu fluktuasi permintaan, sistem informasi akuntansi, dan risiko kerusakan produk. Fluktuasi permintaan timbul akibat variasi musiman, promosi kompetitor, serta daya beli masyarakat. Sistem informasi akuntansi berbasis SAP/WMS mendukung pelacakan inventaris secara real time , namun masih mengalami kendala jaringan dan kesalahan input data. Risiko kerusakan produk muncul karena serangan rayap pada kemasan karton serta kondisi gudang yang kurang memadai. Kendala yang dibahas menjadi arsitektur, teknis, dan operasional. Kendala struktural meliputi koordinasi dengan pusat pabrik dan keterbatasan SDM. Kendala teknis terkait ketidakstabilan sistem dan kesalahan input data, sedangkan kendala operasional meliputi stockout , kerusakan barang, keterbatasan alat, dan lemahnya koordinasi internal. Upaya perbaikan dilakukan melalui penerapan FIFO, peningkatan sistem informasi, program pengendalian hama, serta penguatan komunikasi lintas divisi. Penelitian ini menunjukkan bahwa efektivitas pengelolaan persediaan masih perlu ditingkatkan melalui proyeksi permintaan yang akurat, penguatan infrastruktur teknologi, serta penerapan manajemen risiko yang komprehensif

Usaha Mikro Kecil dan Menengah (UMKM) memiliki peran krusial dalam perekonomian Indonesia, namun masih menghadapi kendala dalam aspek pemasaran dan branding produk. Salah satu tantangan yang dihadapi oleh UMKM di Desa Kalipucang Wetan, Kecamatan Welahan, adalah minimnya inovasi dalam desain kemasan serta kurangnya pemanfaatan strategi pemasaran digital. Penelitian ini bertujuan untuk meningkatkan daya tarik produk UMKM, khususnya Kerupuk Lala 73, dengan mengembangkan desain kemasan yang lebih menarik serta menerapkan strategi digital marketing. Metode yang digunakan dalam kegiatan pengabdian masyarakat ini mencakup observasi, pendampingan, pelatihan, dan evaluasi terhadap pelaku UMKM. Hasil penelitian menunjukkan bahwa pembaruan pada desain label dan kemasan mampu meningkatkan daya tarik produk, sedangkan pemanfaatan platform digital seperti TikTok, Facebook, dan marketplace lainnya berhasil memperluas jangkauan pasar. Dengan strategi pemasaran digital yang tepat, produk UMKM berpotensi lebih dikenal luas dan memiliki peluang yang lebih besar dalam meningkatkan penjualan.

Traditional herbal medicine MSMEs face challenges in increasing the appeal of their products among the younger generation who prefer fresh and modern drinks. To overcome this, innovation in the presentation of herbal medicine is needed to make it more practical, hygienic and attractive. One solution is the manufacture of a microcontroller-based portable box cooler that can maintain the freshness of herbal medicine at an optimal temperature. This box cooler is equipped with an automatic cooling system controlled by a microcontroller, ensuring the jamu stays fresh and high quality for a longer period of time. A temperature sensor monitors and adjusts the cooling conditions as needed, so that the herbs remain at their best when served. In addition, the automatic dispenser system helps regulate the volume of herbs dispensed precisely, reducing wastage and maintaining flavour consistency. With its portable and efficient design, this box cooler is perfect for use in various locations such as bazaars, cafes, offices, or community events. This innovation not only improves the efficiency and competitiveness of MSMEs, but also reinforces the image of jamu as a modern and contemporary healthy drink, making it more attractive to young consumers.

This Field Work Practice (KKL) was conducted at Delastra Farm Yogyakarta with the objective of analyzing the implementation of marketing strategies to increase sales in the livestock sector. The research employed a qualitative approach through observation, interviews with the business owner, and documentation review. Findings reveal that Delastra Farm adopts integrated marketing strategies combining online promotion, offline promotion, and community networking. The application of Segmentation, Targeting, and Positioning (STP) as well as the Marketing Mix (product, price, place, promotion) has significantly enhanced consumer trust and strengthened the farm’s market position. Peak sales were recorded during Eid al-Adha, supported by stock increases, intensive promotions, and delivery services that meet customer expectations. Supporting factors include product quality, the credibility of the owner as both practitioner and academic, and varied promotional strategies across digital and traditional platforms. However, the farm faces several challenges, such as limited capital, fluctuating feed prices, and intense competition within the livestock market. This study highlights the importance of digital marketing adoption, customer relationship management, and product diversification to reduce seasonal risks. The practical implication is that effective marketing strategies can improve not only sales performance but also long-term brand positioning for local livestock businesses. Theoretically, this activity demonstrates the relevance of applying marketing management concepts to micro and small-scale enterprises in the agricultural sector. Strategic recommendations include strengthening digital presence through social media and marketplaces, expanding partnerships with restaurants and religious institutions, and exploring external funding to support sustainable business growth.

This Field Work Practice (KKL) was conducted at Delastra Farm Yogyakarta with the objective of analyzing the implementation of marketing strategies to increase sales in the livestock sector. The research employed a qualitative approach through observation, interviews with the business owner, and documentation review. Findings reveal that Delastra Farm adopts integrated marketing strategies combining online promotion, offline promotion, and community networking. The application of Segmentation, Targeting, and Positioning (STP) as well as the Marketing Mix (product, price, place, promotion) has significantly enhanced consumer trust and strengthened the farm’s market position. Peak sales were recorded during Eid al-Adha, supported by stock increases, intensive promotions, and delivery services that meet customer expectations. Supporting factors include product quality, the credibility of the owner as both practitioner and academic, and varied promotional strategies across digital and traditional platforms. However, the farm faces several challenges, such as limited capital, fluctuating feed prices, and intense competition within the livestock market. This study highlights the importance of digital marketing adoption, customer relationship management, and product diversification to reduce seasonal risks. The practical implication is that effective marketing strategies can improve not only sales performance but also long-term brand positioning for local livestock businesses. Theoretically, this activity demonstrates the relevance of applying marketing management concepts to micro and small-scale enterprises in the agricultural sector. Strategic recommendations include strengthening digital presence through social media and marketplaces, expanding partnerships with restaurants and religious institutions, and exploring external funding to support sustainable business growth.

This study aims to analyze the effect of store layout and product display on computer spare part sales at Bandung Trade Mall. The background of this study is based on the increasing competition in the computer retail business, which requires effective visual merchandising strategies to attract consumers. The research method used a quantitative approach with a survey of 20 respondents selected purposively. Data were collected through questionnaires, observations, and informal interviews, then analyzed using multiple linear regression. The results show that store layout and product display have a significant simultaneous effect on sales with an F value of 12.43; sig. < 0.05. The coefficient of determination (R²) of 0.62 indicates that both variables explain 62% of the variation in sales, while the rest is influenced by other factors outside the model. These findings reinforce the S-O-R theory that visual stimuli can increase consumer comfort, interest, and impulse buying. This study has practical implications for computer retailers to optimize store layout and product display as a strategy to improve sales performance.

Currently, the use of data mining technology has become essential in enhancing business management efficiency, including in the trending coffee shop industry. Data mining allows business owners to analyze sales information in depth, enabling more accurate decision-making regarding inventory management, promotions, and sales strategies. This study aims to implement the Apriori algorithm to analyze sales data at Menrabic Coffee Shop. The Apriori algorithm is used to discover association patterns or relationships between products frequently purchased together by customers, which can assist management in providing inventory that aligns with customer preferences. The research method illustrates the detailed implementation process of the Apriori algorithm, starting from sales data collection, data cleaning, programming, and analysis of the results. The implementation uses web programming languages such as HTML, CSS, MySQL, and JavaScript, while back-end logic is programmed with PHP. The results of applying this algorithm reveal the most popular sales patterns among customers, providing valuable insights for management to improve operational performance and customer satisfaction. Therefore, this study demonstrates that applying data mining with the Apriori algorithm can be an effective tool for understanding consumer behavior and supporting data-driven decision-making at Menrabic Coffee Shop. By utilizing these insights, management can optimize inventory, enhance sales strategies, and ultimately increase overall business efficiency.

This study aims to analyze the influence of capital structure, liquidity, sales growth, and green accounting, assessed through environmental performance and environmental costs, on the profitability of companies. The research focuses on the food and beverage sub-sector listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period, which represents one of the most dynamic and environmentally impactful industries in Indonesia. The sample consists of 30 companies selected using a purposive sampling technique based on predetermined criteria, ensuring the representativeness and relevance of the data analyzed. The study employs multiple linear regression analysis using SPSS version 22.0 to test the hypotheses and measure the extent to which the independent variables contribute to profitability as the dependent variable. The findings reveal that liquidity and sales growth exert a positive and significant influence on profitability, indicating that firms with higher liquidity levels and stronger sales growth are better positioned to enhance their financial performance. In contrast, capital structure demonstrates a negative and significant effect, suggesting that higher levels of debt reduce profitability due to increased financial burdens. Similarly, green accounting, when assessed through environmental performance, also shows a negative and significant impact, implying that companies focusing on environmental initiatives may face higher costs that suppress short-term profitability. However, green accounting as measured by environmental costs does not show any significant effect on profitability, highlighting that disclosure or allocation of environmental costs alone may not directly translate into financial outcomes. Overall, the study concludes that capital structure, liquidity, sales growth, and green accounting—when measured through both environmental performance and costs—jointly influence the profitability of food and beverage companies on the IDX during the observed period.

This study aims to deeply examine the role and impact of AI implementation in the B2B sales process, including implementation challenges. The method used is a qualitative approach with descriptive studies, through a literature review of scientific journals, industry reports, and relevant previous studies. The analysis results show that the application of AI in B2B sales not only improves the accuracy of marketing strategies and lead conversion, but also strengthens the concept of value co-creation through collaboration between salespeople and AI systems. Technologies such as machine learning, predictive analytics, and NLP-based chatbots have been proven to accelerate sales cycles, expand service reach, and increase productivity by up to 30%. However, implementation challenges remain, including limited digital infrastructure, a lack of competent human resources, and organizational resistance to technological transformation. Therefore, optimal AI integration requires institutional readiness, adaptive strategies, and continuous investment in technology and human resource development. These findings provide theoretical and practical contributions to the development of AI-based B2B sales strategies, particularly in the context of the digital industry in Indonesia. Furthermore, the application of AI in B2B sales also opens up new opportunities for service personalization. With the support of real-time data analysis, companies can better understand the specific preferences and needs of their business partners. This enables the development of more targeted communication strategies and the enhancement of long-term relationships with business customers. AI also plays a role in reducing human error through automated systems that can validate data, provide predictive recommendations, and support faster and more accurate strategic decision-making. Furthermore, the adoption of AI in B2B requires clear regulations and governance, particularly regarding ethical data use and information security. Companies must be able to balance the use of technology to increase efficiency with the protection of privacy and consumer rights.

This study aims to determine the effect of pricing, sales promotions, and stock availability on sales volume at H&G Collection. In an era of increasingly fierce business competition, companies need to manage marketing strategies effectively to maintain and increase sales. Appropriate pricing can influence product appeal to consumers, planned sales promotions can increase purchasing interest, while maintained stock availability ensures that consumer demand is met without interruption. This study used a quantitative approach with primary data sources obtained through questionnaires. The population in this study was all H&G Collection employees in the marketing, finance, and general administration divisions. The sampling technique used a saturated or census sampling method, where all members of the population were sampled. The number of respondents involved in this study was 37. The research instruments were tested for validity and reliability before being used in data collection. The data obtained were analyzed using SPSS version 19 software. The analysis methods included classical assumption tests, multiple linear regression analysis, t-tests, and F-tests to determine partial and simultaneous effects between variables. The results of the study indicate that the three independent variables, namely pricing (X₁), sales promotion (X₂), and stock availability (X₃), have a significant effect on the dependent variable, namely sales volume (Y). This proves that the right pricing strategy, effective promotions, and optimal inventory management can significantly increase sales volume. This finding implies that H&G Collection management needs to maintain and even improve the quality of the implementation of these three variables in an integrated manner to support sales growth and the company's competitiveness in the market.

This study aims to analyze the influence of brand ambassadors, sales promotions, and brand image on the purchase intention of Mie Lemonilo products in Balikpapan. The research utilizes both primary and secondary data. Primary data were collected through a questionnaire distributed to followers of the Mie Lemonilo Instagram account in Balikpapan, while secondary data were gathered from various supporting sources. The population in this study consisted of all followers of the Mie Lemonilo Instagram account in Balikpapan, with a sample size of 100 individuals. The results of the study indicate that Brand Ambassador (X1) does not significantly influence the purchase intention of Mie Lemonilo. This suggests that the impact of the brand ambassador on consumer purchasing decisions in Balikpapan is not strong enough, possibly due to insufficient engagement or connection between the brand ambassador and consumers. In contrast, Sales Promotion (X2) has a significant positive impact on the purchase intention of Mie Lemonilo. This indicates that sales promotions, such as discounts or special offers, have a substantial effect in attracting consumer interest and increasing purchase intention in Balikpapan. Meanwhile, Brand Image (X3) does not show a significant influence on the purchase intention of Mie Lemonilo. This may be due to other factors being more dominant in influencing consumers’ purchase decisions, such as product price, quality, or social factors and market trends. This study provides insights that, although brand image is important, sales promotions play a more significant role in driving purchase intention for Mie Lemonilo products in Balikpapan. Therefore, the company should focus more on promotional strategies to increase sales while continuing to consider the role of brand ambassadors and brand image in their marketing strategies.

This study aims to examine the influence of the marketing mix on the sales volume at Senyala Space coffee shop, focusing on four independent variables: product, price, place, and promotion. The research method used is quantitative with a descriptive approach. The population of the study consists of Senyala Space customers from 2020 to 2024, and the sample was selected using nonprobability sampling and Slovin’s technique to determine a representative sample size. Data was collected through surveys and interviews with customers who visited Senyala Space during the specified period. Data analysis was conducted using several statistical tests, including validity testing, reliability testing, normality testing, linearity testing, multicollinearity testing, heteroscedasticity testing, and multiple linear regression analysis. Additionally, the coefficient of determination (R²), partial test (t-test), and simultaneous test (F-test) were used to examine the effect of independent variables on the dependent variable. All analyses were performed using IBM SPSS Statistics 23. The results show that the marketing mix significantly affects the sales volume at Senyala Space. Of the four marketing mix variables analyzed, price was found to have a significant negative effect on sales volume, indicating that an increase in price tends to decrease sales volume. On the other hand, the other three variables—product, place, and promotion—have a significant positive effect on sales volume. This suggests that improvements in product quality, strategic location selection, and effective promotions can increase sales at Senyala Space. These findings provide recommendations for Senyala Space’s management to enhance their marketing strategies by considering the factors influencing customer purchasing decisions, in order to boost sales volume in the future.

The development of digital technology has driven transformation across various sectors, including the food and beverage industry. Dessert businesses face challenges in improving operational efficiency and competitiveness in the digital market. One possible solution is the use of websites as marketing and sales platforms. However, without proper management methods, the utilization of this technology will not be optimal. Therefore, this study applies the POAC (Planning, Organizing, Actuating, Controlling) method to develop a website- based dessert sales system aimed at enhancing business efficiency and customer satisfaction. This study employs a descriptive approach with the POAC method in website-based marketing strategies. The planningphase involves designing e-commerce features, such as product catalogs, an online ordering system, and digital payments. The organizing phase focuses on resource management and technology integration, while actuating includes implementing the system using MySQL, PHP, and CodeIgniter. The controlling phase is conducted through system testing using the Blackbox Testing method to evaluate application performance. The study results indicate that implementing the POAC method in a website- based system enhances the operational efficiency of dessert businesses. Transaction records become more accurate, customers can easily access product information, and the digital payment system improves transaction convenience. Furthermore, the website enables businesses to reach a broader market without geographical limitations. The implementation of the POAC method in website-based business management has proven to improve marketing and sales effectiveness. With a more structured system, businesses can better adapt to market changes and enhance customer interactions. This digital-based strategy also opens new opportunities for developing the culinary business in the modern era.

This research aims to develop a recommendation system that can help retail business owners design more effective, data-driven promotional strategies. This system utilizes data mining techniques and the Apriori algorithm to extract association rules from consumer transaction data, thereby identifying more specific and accurate consumer purchasing patterns. Based on these patterns, the system can provide relevant promotional recommendations, such as product bundling, buy-one-get-one offers, or special discounts, which can attract consumer interest and increase sales. The system's implementation process is presented in the form of an interactive dashboard, which allows business owners to upload their transaction data, adjust analysis parameters, and visualize the promotional recommendation results in a way that is easier to understand and can be directly applied to their marketing strategies. This system not only provides well-structured promotional recommendations but also enables retail business owners to make more informed and efficient decisions in determining the type of promotion to implement, based on insights gained from analyzing their own transaction data. By utilizing this system, business owners can optimize their promotional strategies more efficiently and effectively, because they can quickly identify promotions that best suit consumer purchasing patterns. This can increase impulse sales, as relevant promotions will encourage consumers to purchase more products. Furthermore, this system shows great potential in increasing consumer engagement, as the promotions provided are more personalized and tailored to each consumer's preferences. Therefore, the implementation of this recommendation system has the potential to drive significant sales growth and help retail business owners achieve greater profits, as well as accelerate their business decision-making process. This system, ultimately, not only benefits business owners but also enhances the consumer shopping experience with promotions that are more tailored to their needs and preferences.

Small-scale economic activities, such as micro, small, and medium enterprises (MSMEs), play a vital role in a region's economy. MSMEs need to be protected and empowered to prevent unfair competition between businesses, especially those involving large-scale businesses. One example of an MSME with great potential is the amplang (rice crackers) manufacturing business, a typical souvenir from Balikpapan. Amplang has a distinctive taste and is attractive to tourists visiting the city, and has the potential to be further developed in the future. However, during the community service process, several problems were discovered among these MSMEs. One of the main problems is the lack of online product marketing expansion. These MSMEs still rely on traditional marketing methods, which are limited to direct sales or through local markets. However, with technological developments and high internet usage, the use of social media for product promotion can have a significant impact on increasing sales and market reach. To address this issue, market share expansion was carried out by utilizing social media, which has not previously been used by these MSMEs. Social media platforms like Instagram, Facebook, and WhatsApp can be highly effective platforms for introducing amplang products to a wider market, both locally, regionally, and nationally. Furthermore, this community service program also provides business development assistance by providing training to MSMEs in social media management, engaging content creation, and appropriate digital marketing strategies. With this introduction to online marketing and mentoring, it is hoped that amplang MSMEs in Balikpapan can better develop their businesses, expand their market reach, and increase their competitiveness in an increasingly competitive market.

This study aims to evaluate the extent to which the Shopee e-commerce platform affects the sales rate of clothes in Pasar 16 Ilir, Palembang, which is known as one of the largest clothing trading centers in South Sumatra. The background of this research departs from the phenomenon of the rapid development of e-commerce in Indonesia, where Shopee dominates the fashion category and is the main choice of consumers in online shopping. The change in consumer behavior from conventional to digital shopping patterns encourages businesses in traditional markets to adjust strategies to remain relevant and competitive in the increasingly dynamic era of digital transformation. This research method uses a combination of quantitative and qualitative approaches. A survey was conducted on 100 sellers and 150 consumers to collect data on shopping habits, perception of promotions, and the impact of using Shopee on clothing sales. In addition, in-depth interviews with several business actors at Pasar 16 Ilir were conducted to gain a more detailed understanding of the adaptation strategies they implemented. Data analysis shows that Shopee's promotional features, such as discounts, cashback, and flash sales, are the dominant factors that increase consumer interest. Hedonistic aspects, including the convenience and pleasure of online shopping, as well as customer reviews, also have a significant influence on purchasing decisions. The results of the study confirm that the integration of Shopee with the traditional market contributes to the increase in the volume and sales value of clothes in Pasar 16 Ilir. The online-to-offline (O2O) synergy model helps merchants reach a wider market and improve their competitiveness. In conclusion, optimizing e-commerce platforms through effective promotion strategies, review management, and customer service is the key for MSME actors in facing competition in the digital era.