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This study aims to determine the effect of product availability, communication effectiveness, and promotional strategy on sales volume at PT.Distribusindo Cemerlang Jaya, a cosmetic and skincare distribution company in Batam city. The background of this research is based on pre-survey result indicating suboptimal sales volume along with operational challenges including stock shortages, communicatiob gaps, and limited promotional activities.ths research employs a quantitative method. The population consist of all comsumers, with a sample of 43 respondent selected using a saturated sampling technique. Data were collected through questionnaires using a likert scale and analyzed using validity and reliability test, classical assumption tests, multiple linear regression, t-test, F-test, and coefficient of determination (R²) with SPSS. Result show that partially, product availability does not significantly affect sales volume (sig. 0,313 > 0,05), and communication effectiveness also does not significantly affect sales volume (sig. 0,898 > 0,05). However, promotional strategy has a positive and significant effect  on sales volume (sig, 0,000 < 0,05). Simultaneously, all three variables significantly affect sales volume (F = 212.642, sig. 0,000 < 0,05). The coefficient of determination (R²) is 0,942 indicating that 94,2% of the variation in sales volume is explained by the three independent variables. Promotional strategy is the most dominant factor influencing sales volume is explained by the three independent variables. Promotional strategy is the most dominant factor influencing sales volume at PT.Distribusindo Cemerlang Jaya.  

This study aims to analyze the effect of production costs and sales volume on profit with firm size as a moderating variable in food and beverage sector companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2024 period. This study used a quantitative approach with an associative research design. The data used were secondary data obtained from annual financial statements of food and beverage companies listed on the IDX. The sampling technique used purposive sampling and obtained 110 observations. The analysis method employed was Moderated Regression Analysis (MRA) using IBM SPSS Statistics. The results of the study indicate that production costs do not have a significant effect on company profit. Meanwhile, sales volume has a positive and significant effect on profit. Firm size has a negative and significant effect on profit. Furthermore, firm size is unable to moderate the relationship between production costs and profit as well as the relationship between sales volume and profit. The coefficient of determination test shows that the independent and moderating variables are able to explain 56.8% of the variation in company profit, while the remaining 43.2% is explained by other variables outside the research model. This study implies that companies need to focus more on increasing sales volume and improving operational efficiency to enhance profitability.

SMEs play an important role in Indonesia's economy, one of which is the woodcraft industry that has great potential for export. Putra Mandiri Woodcraft (PMW) faces sales instability, ranging from 30% to 145.48% of the set target, which affects production efficiency. This study aims to formulate an effective marketing strategy to increase sales volume and business competitiveness. The methods used in this study include the IFE and EFE Matrix analysis to identify internal and external factors affecting the company, SWOT analysis to formulate various strategies, and QSPM to determine strategy priorities based on the Total Attractiveness Score (TAS) value. The analysis results show that Putra Mandiri Woodcraft has an IFE score of 2.70 and an EFE score of 2.80, indicating that the company's internal condition is quite strong, although the response to external factors is still moderate. The company's main strengths lie in product quality and consumer trust, while its weaknesses are the lack of innovation in product design. Based on the SWOT analysis results, eight potential strategies were found, and the QSPM shows that expansion through a marketplace based on product quality and more varied designs is the main priority with a TAS value of 6.16.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in the economy and community independence. However, the great potential of home-based businesses is often hindered by administrative issues related to business legality. This research focuses on UMKM Krecek Kulit Sapi Ashif in Jatirejo Village, which has been operating since 2018 but lacks a Business Identification Number (NIB), Household Industry Food (PIRT) permit, and halal certification due to perceived complex procedures. The main objective of this activity is to strengthen business management through product standardization and obtaining legal certifications to enhance the competitiveness of this MSME. The research method used a descriptive qualitative approach with a community service method based on mentoring, including observation, in-depth interviews, and hands-on practice in managing documents through the Online Single Submission system. The results show that through phased mentoring, UMKM Krecek Kulit Sapi Ashif successfully obtained an NIB and increased the owner’s awareness of PIRT food safety standards and halal certification procedures. The impact of this activity includes meeting administrative legality and improving knowledge, confidence, and professionalism in business management. Intensive mentoring proved crucial in transforming informal businesses into formal, legally protected entities.

This study aims to analyze the impact of the increase in Value Added Tax (VAT) and inflation on the sales revenue of PT Astra International Tbk during the 2022–2024 period. The research employs a quantitative approach using multiple regression analysis to examine the relationship between VAT, inflation, and sales revenue. Secondary data were obtained from the company’s financial statements, inflation data from Statistics Indonesia (BPS), and VAT rate information from the Directorate General of Taxes (DJP). The data were analyzed to identify how VAT and inflation influence the company’s revenue. The results indicate that both VAT and inflation have a significant effect on sales revenue, both simultaneously and partially. The coefficient of determination (R²) of 0.899 shows that 89.9% of the variation in sales revenue is explained by the changes in VAT and inflation rates. These findings suggest that VAT and inflation are important economic factors that should be considered by businesses, especially in the automotive industry, when planning strategies for revenue generation. Furthermore, the study emphasizes the critical need for companies to adapt to changing fiscal policies and macroeconomic conditions to maintain profitability and competitive advantage in a fluctuating economic environment.

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.

The rapid development of the sea transportation industry produces a massive and complex volume of transaction data, requiring strategic management to support managerial decision-making. This research aims to implement the Executive Information System on SeaPass in order to evaluate the performance of ship ticket sales. The research method uses data visualization with a two-level drill-down mechanism, which allows the presentation of information hierarchically from general summaries to specific details. The methodological stages include needs analysis, user interface (UI) design using Figma, front-end implementation with HTML, CSS, and JavaScript, database integration, and system testing through Black Box Testing. The results showed that the SIE implementation successfully integrated operational data, including schedules, ships, and manifests, into an interactive dashboard. The two-level drill-down feature provides the ability for executives to identify operational anomalies and market fluctuations in real-time. In conclusion, the system significantly enhances executive data analysis capabilities, transforming complex transaction data into accurate strategic information, thereby supporting more precise business decision-making and adaptive to the dynamics of the marine transportation market.

The rapid development of the sea transportation industry produces a massive and complex volume of transaction data, requiring strategic management to support managerial decision-making. This research aims to implement the Executive Information System on SeaPass in order to evaluate the performance of ship ticket sales. The research method uses data visualization with a two-level drill-down mechanism, which allows the presentation of information hierarchically from general summaries to specific details. The methodological stages include needs analysis, user interface (UI) design using Figma, front-end implementation with HTML, CSS, and JavaScript, database integration, and system testing through Black Box Testing. The results showed that the SIE implementation successfully integrated operational data, including schedules, ships, and manifests, into an interactive dashboard. The two-level drill-down feature provides the ability for executives to identify operational anomalies and market fluctuations in real-time. In conclusion, the system significantly enhances executive data analysis capabilities, transforming complex transaction data into accurate strategic information, thereby supporting more precise business decision-making and adaptive to the dynamics of the marine transportation market.

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 determine and analyze the influence of product development, service quality, and pricing on sales volume at PT Indoqurma Sejahtera, East Jakarta. The background of this study is based on increasingly fierce business competition, especially in the trading industry, so companies need to identify factors that influence sales volume. This study uses a quantitative approach with data collection techniques through distributing questionnaires to 50 employees directly involved in marketing and sales activities, using a saturated sampling technique. The research instrument was tested for validity and reliability before use. Data analysis was carried out using multiple linear regression using SPSS software version 19, which includes the classical assumption test, t-test, F-test, and coefficient of determination. The results show that the variables of product development and service quality do not have a significant influence on sales volume. This indicates that the company's product development efforts have not been fully able to increase market appeal or have not been in accordance with consumer needs. Similarly, the implemented improvements in service quality have not had a significant impact on increasing sales volume. In contrast, pricing has been shown to have a significant influence on sales volume. These findings indicate that consumers in PT Indoqurma Sejahtera's target market are highly price-sensitive, thus a competitive pricing strategy can be a key factor in driving sales. Based on these results, managerial implications include the need to reevaluate product development strategies and improve service quality to be more relevant to consumer needs and preferences. Furthermore, the company is advised to maintain and optimize its competitive pricing strategy to increase competitiveness and expand market share.  

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 examines the impact of boycott actions on changes in company performance, including stock prices, trading volume, and sales, among Israel-affiliated companies listed on the Indonesia Stock Exchange (IDX) in 2023. Using an event study method with a 60-day observation window (H-30 to H+30), the research found a significant decrease in stock price, changes in trading activity, and varying effects on sales. The findings indicate that boycotts, as social movements, can influence market sentiment and investor decisions, especially under the backdrop of global political conflicts.

This study aims to determine the effect of distribution costs on increasing sales volume in food and beverage sector manufacturing industry companies listed on the IDX in 2020-2022. This research uses quantitative methods, this research was carried out on Food and Beverage Sector Manufacturing Industry Companies Listed on the IDX, and data taken for three years starting from 2020-2022 and the calculation uses data per semester consisting of Distribution Costs and Sales Volume. Data collection is carried out by documentation method. The population in this study is all Financial Statements of Food Sector Manufacturing Companies and Minimums Listed on the IDX from 2020-2022 totaling 78 Financial Statements Where the sample processed is part of the total population in the Income Financial Statements per semester in the 2020-2022 period which amounts to 24 Income Financial Statements. The data analysis carried out was by descriptive statistics and simple linear regression analysis while for significant testing using the t test. The results showed that: Distribution costs have a significant effect on sales volume in Food and Beverage Sector Manufacturing Industry Companies Listed on the IDX.  

Company sompetition is increasing, one of which occurs in companies in the food and beverage manufacturing sector. Companies compete to provide the latest innovation in each oh their products to increase profits. The aim of this research is to find out how much influence operational costs and sales volume have on net profit partially or simultaneosly. The population in this study was 95 manufacturing companies in the food and beverage subsector fot the 2020-2023 period. The sample selection used a purposive sampling technique of 30 companies with 4 period for a total of 120 samples. The data used is secondary data obtained from financial reports of food and beverage subsector manufacturing companies. The method used in this research is quantitative statistical research with a causality approach which aims to determine the causal relationship between the independent variable and the dependent variable by conducting hypothesis testing using SPSS version 27. The result of the research show that operational cost have a partial effect on net profit, sales volume have a partial effect on net profit, operational costs and sales volume simultaneosly influence net profit.

This study aims to determine: 1) The development pattern of marketing volume of diesel, premium and kerosene at PT. Masokan Multi Raya as a premium and diesel oil agent in Waropen Regency during the period 2013-2021; 2) The level of significance of the variability of the marketing volume of diesel, premium and kerosene at PT. Masokan Multi Raya; 3) The average stability level related to the marketing volume of diesel, premium and kerosene at PT. Masokan Multi Raya. This type of research is comparative research. Data collection techniques are carried out using two approaches, namely through field research and library research. Data analysis techniques use quantitative analysis, namely development trend analysis, variability analysis, and relative variation analysis. The results of the study show that: 1) The development pattern of the marketing volume of diesel, premium and kerosene at PT. Masokan Multi Raya as a premium and diesel oil agent in Waropen Regency during the period 2013-2021 always increases; 2) There is a significant difference in the average sales volume of the three types of fuel oil products marketed by PT. Masokan Multi Raya as a premium and diesel oil agent (APMS) in Waropen Bawah District; and 3) Premium (VR = 0.0601) is a leading product of PT. Masokan Multi Raya in Waropen Bawah District with the most stable distribution of sales volume, while diesel (VR = 0.0864) has the most unstable sales volume and the lowest volume of kerosene.

This research was conducted to determine the online marketing model using Facebook Ads implemented by Rumah Curasi as a Professional Curator. Applied to MSMEs under the guidance of the Curation House as an effort to advance the promotions carried out. Online promotion is a promotional method carried out using internet media such as Facebook, Whatsapp, and the like. The research method used is a field research method with a descriptive qualitative approach. The data used is primary data and secondary data. Primary data comes from interviews and official documents, while secondary data comes from supporting data found in the field. The results of the research carried out are that Rumah Curasi implements an online marketing model using Facebook Ads. The use of the online marketing model with Facebook Ads has quite potential, because Facebook is still a social media that is loved by many Indonesian people. By utilizing advertising on Facebook Ads, it is hoped that it can increase the sales volume of Kediri MSME products. Keywords : Facebook Ads , MSMEs , and Sales Volume .    

This research aims to determine the effect of marketing strategy and price on sales volume at PT. Pandum Parahita Lestantum both partially and simultaneously. The method used in this research is a quantitative approach. The research sample consisted of 100 people taken using saturated sampling. With data collection techniques using a questionnaire in the form of a Likert scale. Data analysis was carried out using data quality analysis techniques, classical assumptions, hypotheses, which were processed using SPSS (Statistical Package for the Social Sciences) software version 25. The research results showed that from the results of research hypothesis testing there was an unsupported and partially significant influence between the strategies. marketing to sales volume.

Penelitian ini bertujuan untuk mengetahui tingkat ekspektasi penerimaan, risiko usaha, dan perkiraan permintaan produk kascing dan kompos CV. X. Data yang diperoleh terdiri dari 96 sampel yang berasal dari data historis penjualan dan penerimaan selama 8 tahun periode usaha berjalan (2017-2024). Perhitungan tingkat ekspektasi penerimaan dan risiko dilakukan dengan pendekatan Expected Return dilanjutkan dengan pengukuran deviasi yang terjadi, sedangkan perkiraan penjualan pada masa yang akan datang dilakukan dengan menggunakan simulasi Monte Carlo. Produk kascing memiliki tingkat ekspektasi penerimaan yang lebih besar bila dibandingkan dengan produk kompos maupun portofolio 2 produk diversifikasi. Koefisien variasi pada produk kascing 0,17; kompos 0,24; dan portofolio 0,19; nilai koefisien variasi yang semakin kecil menggambarkan risiko yang dihadapi semakin rendah. Perkiraan volume permintaan yang diterima pada masa mendatang pada produk kascing berkisar 9,73- 21,34 ton/bulan dan kompos berkisar 7,81-53,21 ton/bulan.

Bisnis adalah kegiatan ekonomi di mana barang dan jasa diproduksi, dibeli atau dijual untuk mendapatkan keuntungan yang maksimal. Keuntungan suatu bisnis dipengaruhi oleh banyak faktor yaitu, biaya operasional, biaya produksi, harga jual produk, volume penjualan, permintaan dan lainnya. Tujuan penelitian ini adalah bagaimana menganalisis penerapan konsep turunan derivatif berdasarkan keuntungan maksimal yang dapat diperoleh oleh UMKM XYZ. Turunan dapat digunakan sebagai alat analisa dalam menyelesaikan masalah-masalah ekonomi, sehingga konsep derivatif dapat diterapkan untuk menyelesaikan masalah-masalah dalam perusahaan. Pada Penelitian ini menggunakan metode studi kasus yang bersifat kualitatif. Objek pada penelitian ini adalah keuntungan dari penjualan produk kacang telur dan kacang bawang. Berdasarkan hasil analisis yang telah dilakukan menggunakan metode turunan derivatif, penjualan kacang telur dan kacang bawang akan mencapai keuntungan maksimum apabila UMKM XYZ berhasil menjual 85 kg kacang telur per bulan dengan keuntungan maksimum Rp. 7.055.000-, dan untuk kacang bawang 85 kg per bulan dengan keuntungan maksmimum Rp. 3.400.000-.

Penelitian ini bertujuan untuk menguji pengaruh modal, biaya produksi, dan lama usaha terhadap pendapatan UMKM dengan volume penjualan sebagai variabel intervening. Jumlah populasi sebanyak 128 pelaku UMKM dengan sampel yang didapatkan sebanyak 101 responden dan data yang dapat diolah adalah sebanyak 87 responden/data yang didapat dari penyebaran kuesioner. Seluruh responden merupakan pelaku UMKM industri roti di Kecamatan Welahan. Penelitian ini adalah penelitian deskriptif kuantitatif. Data penelitian dianalisis dengan menggunakan alat analisis regresi linier berganda dengan bantuan kalkulator sobel test dari quantpsy.org. Hasil analisis dalam penelitian ini diperoleh hasil : 1) modal berpengaruh negatif dan tidak signifikan terhadap pendapatan; 2) biaya produksi berpengaruh positif dan signifikan terhadap pendapatan; 3) lama usaha berpengaruh negatif dan tidak signifikan terhadap pendapatan; 4) volume penjualan berpengaruh positif dan signifikan terhadap pendapatan; 5) modal berpengaruh negatif dan tidak signifikan terhadap volume penjualan; 6) biaya produksi berpengaruh positif dan signifikan terhadap volume penjualan; 7) lama usaha berpengaruh positif dan tidak signifikan terhadap volume penjualan; 8) modal berpengaruh positif dan tidak signifikan terhadap pendapatan dengan intervening volume penjualan; 9) biaya produksi berpengaruh positif dan signifikan terhadap pendapatan dengan intervening volume penjualan; dan 10) lama usaha berpengaruh positif dan tidak signifikan terhadap pendapatan dengan intervening volume penjualan