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This study aims to analyze the effect of capital structure, asset growth, and firm size on firm value in plastic and packaging sub-sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period. Firm value is proxied by Price to Book Value (PBV), capital structure is measured using the Debt to Equity Ratio (DER), asset growth is measured by the asset growth ratio, and firm size is measured using the natural logarithm of total assets. This research employed an explanatory quantitative approach using secondary data obtained from financial statements, annual reports, and stock price data. The sample consisted of 11 companies observed over five years, resulting in 55 panel data observations. Data were analyzed using panel data regression through the Common Effect Model, Fixed Effect Model, and Random Effect Model, with model selection based on the Chow, Hausman, and Lagrange Multiplier tests. The results indicate that capital structure, asset growth, and firm size have no significant effect on firm value, either partially or simultaneously. These findings suggest that firm value in the plastic and packaging sub-sector is not sufficiently explained by financing structure, asset expansion, or company size. Investors are more likely to consider other factors, such as profitability, operational efficiency, cash flow, sales growth, raw material risk, and sustainability prospects. Therefore, companies should improve financial performance, asset efficiency, cost control, and sustainable innovation to enhance firm value.

This study examines the partial and simultaneous effects of promotional strategies, risk perception, and resale price perception on public interest in gold investment at PT Pegadaian Dompu Branch. The research employed a quantitative explanatory approach involving 96 respondents selected from a population of 50,000 customers using purposive sampling. Data were collected through a structured questionnaire based on a five-point Likert scale and analyzed using multiple linear regression with SPSS version 26. The findings reveal that promotional strategies have a positive and significant influence on public interest in gold investment, indicating that effective promotional activities encourage customers to invest. Risk perception also shows a positive and significant effect, suggesting that customers with better understanding and management of investment risks are more inclined to invest in gold. In addition, resale price perception positively and significantly affects investment interest, reflecting the importance of customers' confidence in obtaining favorable resale values. Simultaneous testing using the F-test confirms that the three independent variables jointly have a significant effect on public interest in gold investment. The coefficient of determination shows an Adjusted R Square value of 33.9%, meaning that promotional strategies, risk perception, and resale price perception explain 33.9% of the variation in investment interest, while the remaining 66.1% is influenced by other factors not included in this research model.

This study compared the performance of SARIMA and Prophet models in forecasting daily close prices of three major Indonesian banking stocks: BBCA, BBRI, and BMRI, using data from January 2020 to March 2026. Data were retrieved via the yfinance library, preprocessed, and split into 80% training and 20% testing sets. SARIMA modeling followed the Box-Jenkins procedure, while Prophet was configured with a Lag-1 regressor, weekly and monthly seasonality, Indonesian public holidays, and log transformation. Model performance was evaluated using MAPE, MSE, and Dstat metrics. Results showed that SARIMA outperformed Prophet in MAPE and MSE across all six stock-variable combinations, with MAPE values ranging from 1.3368% to 1.9386% for SARIMA and 1.5992% to 2.2300% for Prophet. However, Prophet demonstrated marginally higher Dstat values in several series. Both models achieved "Very Good" forecasting accuracy. A web-based forecasting system was also developed using Streamlit to make the models accessible to investors.

This study applies a quantitative approach with a survey method as a data collection technique. Research data were obtained by distributing questionnaires to respondents who were the subjects of the study, namely small and medium enterprises (SMEs) engaged in shell craft in the coastal areas of Surabaya. The influence of digitalization and competitiveness on increasing income from digitalization was measured through the use of social media, e-commerce platforms, and the use of information technology in business activities. Meanwhile, the competitiveness variable was measured based on product quality, innovation, price, and marketing capabilities. Digitalization has a positive effect on increasing income for small and medium enterprises (SMEs) engaged in shell craft. The use of digital media has been proven to be able to expand the market and increase sales volume. In addition, competitiveness also affects income, where innovation is the main factor that drives increased sales value. Simultaneously, digitalization and competitiveness contribute significantly to increasing income for small and medium enterprises (SMEs). Support for related institutions and business actors in digital literacy, product innovation, and sustainable marketing strategies is needed to strengthen competitiveness and improve the welfare of coastal communities.

Exports as a component of international trade contribute significantly to the development and growth of a country’s economy. In Indonesia, export activities are considered one of the key drivers in increasing national economic performance. This research seeks to evaluate the role of Indonesia’s exports to the United States within the Harmonized System (HS) Code 71 commodity classification, encompassing pearls, gemstones, precious metals, and jewelry products, in influencing Indonesia’s economic growth as reflected by Gross Domestic Product (GDP) at constant prices.The analysis focuses on three specific commodity groups: Pearls and Precious Stones (HS 71.01–71.05), Precious Metals and Metals Clad with Precious Metals (HS 71.06–71.12), and Jewelry and Related Articles (HS 71.13–71.18). A descriptive quantitative research design was employed, utilizing secondary time-series data collected for the 2015–2024 period. Data sources included the Indonesian Central Bureau of Statistics (BPS) and Trade Map. To assess the relationship between variables, this study adopted multiple linear regression analysis accompanied by classical assumption testing and hypothesis testing using both t-test and F-test procedures. The empirical findings demonstrate that export performance within the HS Code 71 category underwent considerable fluctuations throughout the observation period, reaching its peak in 2024.Furthermore, the statistical results indicate that each commodity sub-category contributes differently and exerts varying effects on Indonesia’s real GDP, both individually and collectively. The outcomes of this research are expected to provide useful references for government institutions in developing trade cooperation strategies and policy decisions, while also supporting business actors in strengthening the international competitiveness of Indonesian products.

The stock market is a place to buy shares for profit. In Indonesia, energy stocks are highly unpredictable because global commodity prices change constantly. This study examines what affected energy stock returns in 2024, focusing on trading volume, price swings, company profits, and cash flow. Using financial reports and statistical analysis, all these factors were tested together and individually. The results show that combined, all these factors do affect stock returns. However, when looked at one by one, only the company's net profit truly matters to investors. On the other hand, busy trading, daily price swings, and cash flow have no impact at all. In fact, all the factors studied only account for 14% of stock return movements, while the remaining 86% is driven by other outside forces. In conclusion, for those looking to invest in energy stocks, the most important thing to watch is the company's ability to generate net profit, rather than just looking at how busy daily transactions are in the market.

This research examines the influence of Price, Income, Taste, Promotion, Location, and Product Quality on consumer demand at Coffee Shops in Pekanbaru City. The population consists of Coffee Shop customers in Pekanbaru City. A nonprobability sampling method with Accidental Sampling technique was applied, involving 100 respondents. Data were analyzed using SEM-PLS approach through SmartPLS 4.0 software. The findings reveal that Price, Promotion, and Product Quality significantly influence consumer demand. In contrast, Income, Taste, and Location do not show a significant effect. Among all variables, Product Quality emerges as the most dominant factor affecting consumer demand at Coffee Shops in Pekanbaru City. Therefore, coffee shop managers in Pekanbaru City need to improve taste consistency, menu variety, presentation, and product quality standards to maintain and increase consumer demand. This research is expected to provide business owners with a basis for formulating more appropriate, competitive, and sustainable customer satisfaction-oriented marketing strategies in the local market.

Sukabanjar Village is one of the villages striving to improve basic infrastructure quality, particularly in drainage construction and road repair. However, limited understanding among village officials and communities regarding standardized construction cost estimation methods, specifically the Unit Price Work Analysis (AHSP), has become an obstacle in preparing accurate and efficient Budget Plans (RAB). This community service program (PKM) aims to improve the understanding of village officials, village hall staff, and Sukabanjar Village community regarding AHSP-based construction cost estimation planning as the standard reference for construction work cost calculation in Indonesia. The program involved socialization and training for 20 participants, consisting of village officials (RW/RT), village hall staff, and general public, introducing the basic concepts of AHSP, RAB component elements, and simple simulations of drainage and road work cost calculations. Evaluation was conducted through pre- and post-tests. The results of the activity showed a very significant improvement in participants' understanding. The average pre-test score was 42, which then increased to 75 in the post-test, reflecting an increase of 33 points (78.6%). In conclusion, the AHSP-based cost estimation planning socialization was effective in improving the village community's understanding of construction infrastructure budget management, although continued mentoring is still needed for optimal and sustainable implementation.

One of the most significant foods for the people of Indonesia, tempeh is made mostly from soybeans. Soybean quality selection is still mostly done by hand, relying on eye inspection and the expertise of business actors. This may cause subjective evaluations, lengthy decision-making processes, and uneven outcomes. With the TOPSIS technique as its foundation, this project intends to construct a Decision Support System (DSS) for selecting high-quality soybeans. Color, texture, price, scent, and flavor are some of the evaluation criteria. Observations and interviews were conducted in Rumah Tempe A-Zaki Padang to gather data for the research. Ranking the options according to how close they were to the positive ideal solution and how far away from the negative ideal solution was done using the TOPSIS approach. In terms of preference values, the Green Soybean option came out on top with 0.9692, followed by Black Soybeans with 0.2335, Yellow Soybeans with 0.1516, and Brown Soybeans with 0.1181. Based on these outcomes, it seems that TOPSIS can indeed provide objective suggestions for soybean selection according to a number of different standards. Business players in the tempeh industry may benefit from this decision support system by using it to choose high-quality soybean raw materials more efficiently and accurately.

This study aims to analyze educational marketing management strategies in attracting students’ interest at MTs Al-Mursyidiyyah. The research employed a qualitative approach using a descriptive-analytical method. Data were collected through literature review and in-depth interviews with the school principal as the key informant. Data analysis used the Miles and Huberman model, including data reduction, data display, and conclusion drawing. The findings reveal that MTs Al-Mursyidiyyah has comprehensively implemented educational marketing strategies based on the 7P marketing mix (product, price, place, promotion, people, physical evidence, and process). The product dimension is reflected in the integration of academic-religious curriculum supported by technology and diverse extracurricular programs. Promotional strategies are carried out through digital platforms such as Instagram, TikTok, and online admission websites, as well as conventional promotion through the annual November Festival. Strengthening human resources, modernizing facilities, and digitizing educational services also contribute to enhancing the school’s image. The study concludes that the success in attracting prospective students is strongly influenced by the synergy between product quality, promotional effectiveness, and physical evidence that build public trust in the educational institution.

This study aims to determine the role of women in tourism development in Raja Prailiu Village, East Sumba Regency, and to identify the obstacles faced by women in tourism activities. This research is motivated by the importance of women's involvement in meeting family economic needs while preserving the weaving culture. This study uses a qualitative descriptive method. Data were obtained through observation, interviews, and documentation. Research informants consisted of six women who are active in tourism activities in Raja Prailiu Village. Data sources used include primary data from interviews and secondary data from books, journals, articles, and related documents. Data analysis techniques used the Miles and Huberman model which includes data reduction, data presentation, as well as drawing conclusions and verification. The results of the study show that women have an important role in tourism development, namely as weavers, craft product sellers, tour guides, and actors in preserving culture and cleanliness of the tourist environment. However, women also face various obstacles, such as increasing the number of tourists, high prices of raw materials, limited time due to dual roles, lack of English language skills, and low tourist awareness of environmental cleanliness. This research contributes to showing the importance of the role of women in tourism development and becomes a consideration for the government and the community in supporting tourism development in Raja Prailiu Village.

Tingginya pertumbuhan jumlah rumah sakit di Indonesia memicu persaingan yang ketat dalam industri kesehatan, termasuk di Provinsi Jambi. RS X Jambi menjadi salah satu RS dengan indikator pelayanan rendah, mencatat BOR 33,3% dan BTO 34,1 kali dan berada di bawah standar Kementrian kesehatan. Fenomena ini menegaskan perlunya penerapan strategi bauran pemasaran yang efektif. Penelitian ini bertujuan untuk menganalisis hubungan bauran pemasaran dengan keputusan memilih pelayanan rawat inap di RS X Kota Jambi tahun 2025. Penelitian kuantitatif dengan desain cross-sectional. Sampel berjumlah 108 pasien rawat inap yang diambil secara accidental sampling berdasarkan kriteria inklusi dan eksklusi. Data dikumpulkan melalui kuesioner dan dianalisis secara univariat dan bivariat (chi-square). Uji bivariat menunjukkan adanya hubungan signifikan pada variabel product (0,001), price (0,001), place (0,001), people (0,001), dan process (0,001). Variabel yang tidak signifikan adalah promotion (0,687) dan Physical Evidence (0,069). Terdapat hubungan product, price, place, people, process dengan keputusan memilih pada rawat inap di rumah sakit X sedangkan promotion dan physical evidence tidak terdapat hubungan.

This study aims to design a liquid dish soap made from lerak fruit (Sapindus rarak DC.) as an environmentally friendly alternative to synthetic chemical-based soaps. Lerak fruit was selected due to its high saponin content, which functions as a natural surfactant capable of producing foam and removing grease. This research integrates three courses: Product Design and Development using the Quality Function Deployment (QFD) method with House of Quality (HOQ) to identify consumer needs; Work Measurement Analysis using Operation Process Charts (OPC) to design the production process; and Cost Estimation Analysis using the full costing method to calculate production costs and determine the selling price. Results show that the best product concepts are Concept 4 and Concept 8, characterized by natural lerak surfactant, active ingredient concentration above 15%, pH of approximately 6, citrus/lemon scent, and pump bottle packaging. The production process consists of preparation, mixing, boiling, addition of thickener, cooling, pressing, filtering, and packaging, with a total production time of 142.05 minutes for two 500 ml products. Total production cost is Rp65,184, with a cost of goods sold (COGS) of Rp32,592 per unit and a selling price of Rp34,000 per unit.

Food waste is still a significant problem, affecting food security, the environment, and the global economy. More than 53% of food produced becomes waste. Food waste worldwide totals 1.3 trillion annually. One of the districts with a high food waste rate is Banyumas. The most significant contributor to waste in the Banyumas region in 2021 was food waste, accounting for 39.85%, with much of it generated by restaurants. Restaurants play an essential role in managing food waste, as most food discarded at the preparation stage cannot be reused. This study aims to analyze the relationship between demographics and food waste reduction to support a digital technology approach from a restaurant perspective. This study used quantitative methods. The respondents of this study were 100 restaurants located in Banyumas, including A La Carte, Ramesan, Tegal, and Padang, and the data were analyzed using ANOVA. The results show that demographic factors, including income, age, restaurant opening hours, and the prices of best-selling foods, influence food waste in restaurants. The recommendation is for restaurants to prepare and plan menus. This will affect food prices, opening hours, and revenue. Some restaurants can increase their knowledge of handling food waste.

The benefit of cardboard waste as a headpiece is to encourage the entrepreneurial spirit to continue to be creative in processing this inorganic waste into products at prices that are relatively cheap compared to prices on the market. Data collection uses the methods of Observation, Literature, Experimentation, Documentation, Interviews, Questionnaires. The author carried out the process of using cardboard waste to make headpieces through several stages, not only that, the author also carried out experiments 3 times using different dyes. In experiment 1 using gold pilok, experiment 2 used gold pilok then sprinkled with gold glitter, then experiment 3 used wall paint coloring sprinkled with gold glitter. The author conducted a sensory test regarding the public's acceptance of headpiece products made from cardboard waste. The highest average results were obtained in experiment 3 with a total average color of 2.87 which means quite appropriate, a total average texture of 2.63 which means quite suitable, a total average design of 1.77 which is less appropriate, while the total average ease of use is 2.67, which means it is quite appropriate. So the results obtained were that as many as 30 respondents preferred product 3 with quite appropriate criteria. From the results of the products made, the coloring still needs to be improved so that they are more perfect and the designs are developed to be more varied so that they can be used as a reference for further research.

The purpose of this study is to determine and analyze the influence of service quality and price perception on purchasing decisions of Dolok Masihul counter customers, both directly and indirectly through purchase intention as an intervening variable. This type of research is explanatory research that explains the causal relationship between variables through hypothesis testing. The sample used in this study was 101 respondents with proportional random sampling technique. The test tool used was Partial Least Square (PLS) using SmartPLS 3.0 software. From the results of this test it can be concluded that service quality does not have a significant effect on purchasing decisions. Price perception does not have a significant effect on purchasing decisions. Purchase intention has a significant effect on purchasing decisions. Service quality does not have a significant effect on purchase intention. Price perception has a significant effect on purchase intention. Service quality does not have a significant effect on purchase decisions through mediation from purchase intention. Price perception has a significant effect on purchase decisions through mediation from purchase intention.

This community service program was conducted at GPIA Sidoasri, Malang Regency, a church community located in a rural area with limited access to capital, technology, and market opportunities. To improve the economic welfare of its members, the church initiated a micro-enterprise producing banana chips and jackfruit chips. However, the business faced several challenges, including unattractive product packaging, a short shelf life due to the absence of preservatives, and difficulties in determining competitive and profitable selling prices. To address these issues, the service team provided training on marketing strategies and business capital management. The training covered product branding through attractive packaging, the use of digital promotion to expand market reach, the separation of personal and business finances, simple financial record-keeping, and responsible capital management practices. The program was implemented through lectures, interactive discussions, and participant mentoring. The results showed that participants gained a better understanding of marketing strategies and basic financial management. Although challenges such as limited capital and low digital literacy remained, participants demonstrated strong enthusiasm to apply the knowledge and skills acquired during the program. This activity highlights that the success of micro-enterprises depends not only on product quality but also on effective marketing strategies and sound capital management. Furthermore, the program reinforces the importance of careful planning and responsible stewardship in business, as reflected in the wisdom of Proverbs 21:5.

Bank stock price prediction is an important topic in the application of information technology because stock price movements are dynamic, sequential, and influenced by historical market patterns. This study aims to predict Indonesian banking stock prices using the Long Short-Term Memory method and evaluate the effect of Bayesian Optimization on model performance. The data used in this study consists of daily historical stock data of BBCA, BBNI, BBRI, BBTN, and BMRI from May 4, 2020, to May 4, 2026, obtained from Yahoo Finance. The input features include opening price, highest price, lowest price, closing price, and trading volume, while the prediction target is the stock closing price. The results show that the baseline model produced MAPE values ranging from 1.892% to 3.147%. The best baseline performance was obtained on BBCA with an R² value of 0.933, followed by BBTN with an R² value of 0.902. After optimization, performance improvement occurred on BBTN, with MAPE decreasing from 3.147% to 2.482% and R² increasing from 0.902 to 0.935. For BMRI, MAPE decreased from 2.385% to 2.206%, and R² increased from 0.687 to 0.743. This study concludes that Long Short-Term Memory can be used to predict Indonesian banking stock prices, while Bayesian Optimization can selectively improve model performance depending on the characteristics of each stock dataset.

The practice of buying and selling rubber commodities in Gurun Tuo Village has not fully aligned with Islamic business ethics principles, particularly regarding honesty (ṣidq), gharar (uncertainty), and justice (‘adl). This condition has the potential to disadvantage one of the parties, especially farmers as the main producers. Therefore, this study aims to analyze the practice of rubber trading and assess its conformity with the principles of Islamic business ethics. This research employed a qualitative approach using observation, interviews, and documentation as data collection techniques. Rubber farmers, collectors, and other related parties in Gurun Tuo Village were selected as informants. The collected data were analyzed descriptively to describe the actual conditions in the field. The results showed that several practices were still inconsistent with Islamic business ethics principles, such as the lack of transparency in determining quality and prices, the presence of gharar elements in the weighing process, and inequality in price determination that affected fairness for farmers. Nevertheless, some business actors had attempted to implement honesty in transactions. This study concludes that the practice of rubber commodity trading in Gurun Tuo Village has not fully complied with Islamic business ethics principles, especially in terms of honesty (ṣidq), justice (‘adl), and the prohibition of gharar. Factors influencing these conditions include internal factors such as socio-cultural, economic, and educational aspects, as well as external factors in the form of weak village institutions. However, the implementation of Islamic business ethics can be improved through transparency, education, and strengthening institutions such as cooperatives.

The improvement of village road infrastructure plays an important role in enhancing community mobility and supporting local socioeconomic development. This study aims to analyze changes in mobility conditions before and after road improvement, explore community perceptions and experiences, identify changes in activity and economic patterns, and examine factors that support or hinder mobility optimization in Trayeman Village, Slawi District, Tegal Regency. A mixed-method approach was employed involving 98 respondents selected from a population of 5,229 residents using the Slovin formula with a 10% margin of error, along with 15 key informants for qualitative data collection. Data were gathered through observations, in-depth interviews, documentation studies, and Likert-scale questionnaires. Quantitative data were analyzed descriptively, while qualitative data were examined using the Miles and Huberman interactive analysis model. The findings indicate that road improvement has significantly enhanced community mobility, with an overall mean score of 3.89, categorized as high. Access to services recorded the highest score (4.06), followed by economic mobility (4.00) and social mobility (3.99). Community perceptions were largely positive, viewing the improved road as a catalyst for development and improved accessibility. Road improvement also encouraged broader economic opportunities, lower transportation costs, business growth, and increased income. Supporting factors included private vehicle ownership and supportive village policies, whereas high fuel prices, limited transportation options, and uneven local road conditions remained major challenges. Further improvements in supporting infrastructure and transportation services are recommended to maximize mobility benefits.