Abstract:The capital market has become a cornerstone of modern economies, facilitating the flow of funds between investors and business entities to support growth and innovation. However, interest in investing in the Indonesian capital…
apital market still faces significant challenges, particularly in terms of risk understanding, perception, and individual motivation for investment. This research aims to explore the factors influencing individual investment interest in PT. Indonex Bangun Investama, a key player in the Indonesian capital market. The research adopts a quantitative approach involving 82 active investors of PT. Indonex Bangun Investama. Data analysis utilizes various statistical techniques such as normality tests, multicollinearity tests, and multiple linear regression analysis to examine the impact of risk, motivation, and investment knowledge variables on investment interest. The analysis results indicate that risk and motivation significantly affect investment interest, while investment knowledge, although important, does not significantly influence investment interest individually. These findings provide deeper insights into the psychological and economic factors underlying individual investment decisions in the Indonesian capital market. The implications of this research suggest the need for a more holistic and strategic educational approach to enhance financial literacy and effective risk mitigation in individual investment strategies. Thus, this research makes a significant contribution to the development of education strategies and risk management in the Indonesian capital market context, laying a foundation for further discussions on expanding accessibility and participation in investment among the public.
Abstract:The rapid development of globalization compels companies to enhance the quality of their products and services to compete in the market. The primary goal of companies is to maximize corporate value, which reflects the well-being…
ll-being of shareholders and attracts investors’ interest. Corporate value is often gauged by the stock price in the capital market, making it crucial for companies to plan sound financial strategies. This research focuses on the banking sector listed on the Indonesia Stock Exchange (IDX) from 2021 to 2023, evaluating the influence of investment policy, dividend policy, and profitability on corporate value. The study employs a descriptive quantitative method using secondary data from the companies’ financial reports. Multiple linear regression analysis is used to assess the relationships between these variables. The results indicate that investment policy and profitability have a positive but not significant effect on corporate value, while dividend policy has a significant positive impact. Corporate value is also affected by stock price fluctuations, which are often inconsistent. These findings affirm that dividend policy is a crucial factor in enhancing corporate value, while investment policy and profitability, although important, do not have a significant impact within the study period. Overall, these independent variables collectively have a significant influence on corporate value in the banking sector on the IDX. This research provides insights for company management in formulating effective strategies to increase corporate value.
Abstract:To be successful in the competitive market for sacrificial animals, with its short selling season and numerous sellers, prioritizing customer satisfaction is essential. This study was conducted in Meruyung Village, Limo…
District, Depok City on June 24–July 3, 2023, using descriptive-quantitative method to discover the service quality, product quality, and price offered by sellers, and how these three factors affect customer satisfaction of sacrificial animals. Convenience sampling was used to determine the respondents, which is by meeting people at the sales stalls who have bought goats or sheep as sacrificial animals at least once in Meruyung Village. This study involved 70 respondents. Data was obtained using a Likert scale questionnaire via Google Form and processed using multiple regression analysis. The results shows that the quality of service and product, as well as the price factor offered by sacrificial animal sellers, together affect customer satisfaction with sacrificial animals in Meruyung Village, Limo District, Depok City by 36.5%, but only the factor of product quality has a partially significant influence. Therefore, sellers must ensure product quality that meets the requirements of sacrificial animals and customer preferences, as this significantly affects satisfaction.
Abstract:To maximize customer satisfaction through marketing strategies residential property companies must understand the dynamics of appropriate marketing strategies. One of them is by maximizing consumer satisfaction with several…
ral important factors such as product, price, promotion and place. The aim of this research is to analyze the influence of the marketing mix on consumer satisfaction at Astapada Indah III Jombang housing. This type of research uses quantitative research with a cross-sectional study approach. The population of all residents of the Astapada Indah III housing complex was 68 and the sample was 58 people using incidental sampling technique. The independent variables are product, price, promotion, place and the dependent variable is consumer satisfaction. The research instruments used questionnaires, data processing using multiple linear regression tests. The results of the research showed that product and location had a significant effect on housing consumer satisfaction, while price and promotion had no effect on consumer satisfaction. However, simultaneously product, price, promotion and location all influence consumer behavior simultaneously by 79.4%.
Abstract:This study investigates how audit fees impact audit quality. The purpose of this study is to determine the relationship between the effect of audit fees on audit quality in companies listed on the Indonesia Stock Exchange…
e which are categorized as LQ45. This study was conducted using the verification method. Researchers involved 225 LQ45 companies listed on the Indonesia Stock Exchange from 2016 to 2020. The data used comes from secondary data collected through the documentation method. In analyzing the data, this study uses panel data regression statistical testing with a random effect model. The findings of this study are that audit fees are positive to audit quality based on the calculation of panel data regression analysis conducted through the Eviews 9 program.
Abstract:This research was conducted in the Food and Beverage sector companies listed on the Indonesia Stock Exchange during the period 2017-2021 with the title "Analysis of Activity, Liquidity, and Solvency on Profitability in Food…
ood and Beverage Companies Listed on the Indonesia Stock Exchange (IDX) Period 2017-2021." The data used in this study is quantitative data from secondary sources. The sample was selected using purposive sampling based on specific criteria, with 27 companies selected as samples, making a total of 135 companies studied from the period 2017-2021. The research technique used was multiple linear regression analysis.Partially, the findings of this research state that: 1) Activity has a positive and significant effect on profitability, indicated by a significant value of 0.052 ≤ 0.05 and a t-value of 1.963 > 1.65648. 2) Liquidity has a positive and significant effect on profitability, with a significant value of 0.044 ≤ 0.05 and a t-value of 2.038 > 1.65648. 3) Solvency has a positive and significant effect on profitability, with a significant value of 0.000 ≤ 0.05 and a t-value of 18.944 > 1.65648. 4) Simultaneously, activity, liquidity, and solvency have a positive and significant effect on profitability, as indicated by a significant value of 0.000 < 0.05 and an F-value of 147.949 > 3.07. The determination test shows that 76.7% of the variations in activity, liquidity, and solvency affect profitability, while 23.3% (100% - 76.7%) is influenced by other factors beyond the independent variables studied in food and beverage companies listed on the IDX from 2017 to 2021.
Abstract:The purchase decision is the main goal or purpose of selling a product. This study aims to analyze the influence of marketing experience, price and brand trust on purchasing decisions. This study was conducted using a descriptive…
scriptive quantitative research method with data collection using a research tool in the form of questionnaires distributed directly to respondents. The subjects of this study include consumers who purchased Jotun brand paint products from CV. Asia Maju Rantauprapat during the period specified by the author. Determining the sample size used the purposive sampling technique with a total of 65 consumers. To analyze and analyze the research data, it was carried out using the computer program SPSS version 20 with instrumental testing, classical hypothesis testing, multiple regression analysis and hypothesis testing. Research results show that marketing experience, price and brand trust have a positive and significant impact on purchasing decisions. At the same time, marketing experience, price and brand trust have a positive and significant impact on purchase decisions with a contribution of 0.888 or 88.80% and the remaining 11.20% is influenced by other factors. Other factors were not considered in this study.
Abstract:In the era now, the rapid development of technology makes people use the internet. E-commerce players use the internet as a digital marketing medium. One of the e-commerce that developed at that time was Bukalapak. This…
study aims to determine the effect of trust and ease of use of applications on purchasing decisions on the Bukalapak site in East Lombok. The method used in this research is associative method and the type of data used is quantitative data. The population of this study were all people who used the Bukalapak application in East Lombok. Determination of the sample using Non-Probability Sampling with a total of 75 respondents. The data analysis method uses validity test, reliability test, classical assumption test, hypothesis testing and multiple linear regression. The results of this study indicate that the trust variable has a positive and significant influence on purchasing decisions The Ease-of-Use variable has a positive and significant influence on purchasing decisions.
Abstract:Abstract: This study is motivated by the underutilization of transaction data at Toko F3I Kisaran in supporting decision-making related to inventory and pricing strategies. Currently, decisions are made conventionally based…
sed on experience, which may lead to overstock or stockout conditions. This research aims to develop a sales prediction model by applying Data Mining techniques using the Multiple Linear Regression method to analyze the influence of stock and price variables on sales. The research methodology includes historical data collection, regression analysis, web-based system design using PHP and MySQL, and system testing through the Black Box method. The results indicate that the developed model is capable of generating measurable and systematic sales estimations based on stock and price variables. The implementation of this system can assist store management in planning inventory levels and pricing strategies more efficiently, thereby improving operational effectiveness and business competitiveness.
Keywords: data mining; multiple linear regression; PHP; sales prediction; web-based system
Abstrak: Penelitian ini dilatarbelakangi oleh belum optimalnya pemanfaatan data transaksi penjualan pada Toko F3I Kisaran dalam mendukung pengambilan keputusan terkait persediaan dan penetapan harga. Selama ini, keputusan masih dilakukan secara konvensional berdasarkan pengalaman, sehingga berpotensi menimbulkan overstock maupun stockout. Penelitian ini bertujuan untuk membangun model prediksi penjualan dengan menerapkan teknik Data Mining menggunakan metode Regresi Linier Berganda guna menganalisis pengaruh variabel stok dan harga terhadap penjualan. Metodologi penelitian meliputi pengumpulan data historis, analisis perhitungan regresi, perancangan sistem berbasis web menggunakan PHP dan MySQL, serta pengujian sistem dengan metode Black Box. Hasil penelitian menunjukkan bahwa model yang dibangun mampu menghasilkan estimasi penjualan berdasarkan variabel stok dan harga secara lebih terukur dan sistematis. Implementasi sistem ini dapat membantu manajemen toko dalam merencanakan jumlah persediaan dan strategi harga secara lebih efisien, sehingga meningkatkan efektivitas pengelolaan bisnis dan daya saing perusahaan.
Kata kunci: data mining; prediksi penjualan; regresi linier berganda; sistem berbasis web; PHP
Abstract:Abstract: Motorcycle sales are one of the key indicators of growth in Indonesia’s automotive industry. CV. Honda Karya Utama, as an authorized Honda motorcycle dealer, faces challenges due to unstable monthly sales fluctuations.…
ctuations. This uncertainty complicates stock planning, marketing strategy formulation, and may lead to potential losses caused by overstocking or understocking. To address these issues, this study aims to analyze the relationship between time and sales volume and to develop a predictive model that can assist management in making more effective business decisions.
The research was conducted using a quantitative method and a machine learning approach by applying a linear regression algorithm, implemented through the Python programming language and a MySQL database. The dataset used consists of monthly sales data over one year, analyzed to predict future sales trends. The results show that the linear regression algorithm can predict sales trends with a good level of accuracy, achieving evaluation values of MAPE 1.72%, MSE 1.76%, and RMSE 0.57. The developed model assists management in formulating marketing strategies, optimizing inventory planning, and minimizing financial risks. Therefore, linear regression can serve as an effective analytical tool to support strategic business decision-making at CV. Honda Karya Utama.
Keywords: motorcycle sales; linear regression; prediction; sales analysis
Abstrak: Penjualan sepeda motor merupakan salah satu indikator penting dalam pertumbuhan industri otomotif di Indonesia. CV. Honda Karya Utama sebagai dealer resmi sepeda motor Honda menghadapi tantangan berupa fluktuasi penjualan yang tidak stabil setiap bulannya. Ketidakpastian ini menyebabkan kesulitan dalam perencanaan stok, penentuan strategi pemasaran, serta berpotensi menimbulkan kerugian akibat kelebihan atau kekurangan persediaan. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan untuk menganalisis hubungan antara waktu dan jumlah penjualan serta membangun model prediksi yang dapat membantu manajemen dalam pengambilan keputusan bisnis yang lebih efektif. Penelitian dilakukan dengan metode kuantitatif dan pendekatan machine learning menggunakan algoritma regresi linier, dengan implementasi berbasis bahasa pemrograman Python dan basis data MySQL. Data yang digunakan berupa data penjualan bulanan selama satu tahun, yang kemudian dianalisis untuk memprediksi tren penjualan pada periode berikutnya. Hasil penelitian menunjukkan bahwa regresi linier mampu memprediksi tren penjualan dengan tingkat akurasi yang baik, dengan nilai evaluasi MAPE sebesar 1,72%, MSE 1,76%, dan RMSE 0,57. Model ini membantu manajemen dalam menyusun strategi pemasaran, mengoptimalkan perencanaan stok, serta meminimalkan risiko kerugian. Dengan demikian, regresi linier dapat menjadi alat bantu yang efektif dalam mendukung keputusan bisnis di CV. Honda Karya Utama.
Kata kunci: penjualan sepeda motor; regresi linier; prediksi; analisis penjualan