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Penelitian kualitatif deskriptif ini bertujuan untuk menganalisis penentuan harga pokok produksi (HPP) dan harga jual kompetitif kue tar menggunakan metode Full Costing pada Toko Kue Hum’aisyah Cake di Kabupaten Dompu, Nusa Tenggara Barat. Data primer diperoleh melalui observasi dan wawancara langsung, sedangkan data sekunder bersumber dari laporan keuangan usaha. Hasil penelitian menunjukkan bahwa metode Full Costing menghasilkan perhitungan HPP yang lebih akurat dibandingkan metode sederhana yang diterapkan perusahaan selama ini. Total biaya produksi dengan metode sederhana tercatat sebesar Rp55.100.250 (Rp185.000/unit), sedangkan metode Full Costing menghasilkan Rp57.395.250 (Rp195.000/unit). Terdapat selisih sebesar Rp2.295.000 secara total atau Rp10.000 per unit. Selisih ini terjadi karena metode sederhana milik perusahaan belum memperhitungkan seluruh unsur biaya produksi, khususnya biaya overhead pabrik secara rinci.

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.

Mie basah bebas gluten umumnya memiliki kandungan protein yang relatif rendah karena didominasi oleh bahan berpati, sehingga diperlukan upaya peningkatan nilai gizi tanpa menurunkan tingkat penerimaan konsumen. Penelitian ini bertujuan untuk mengetahui pengaruh penambahan tepung ikan teri medan (Stolephorus sp.) terhadap tingkat kesukaan mie basah bebas gluten serta mengetahui karakteristik kimia pada perlakuan terbaik. Penelitian menggunakan Rancangan Acak Lengkap (RAL) dengan empat taraf penambahan tepung ikan teri medan, yaitu P0 (0 g), P1 (5 g), P2 (10 g), dan P3 (15 g). Tingkat kesukaan dinilai oleh 40 panelis pada parameter warna, aroma, rasa, dan tekstur menggunakan uji hedonik. Data dianalisis menggunakan Analysis of Variance (ANOVA) dan dilanjutkan dengan uji Duncan. Perlakuan terbaik ditentukan menggunakan metode indeks efektivitas dan selanjutnya dianalisis secara proksimat. Hasil penelitian menunjukkan bahwa penambahan tepung ikan teri medan berpengaruh terhadap tingkat kesukaan mie basah bebas gluten. Perlakuan terbaik diperoleh pada P1 (5 g) berdasarkan nilai indeks efektivitas tertinggi. Hasil analisis kimia pada P1 menunjukkan kadar air 37,33%, kadar abu 1,71%, kadar lemak 3,34%, kadar protein 9,76%, dan kadar karbohidrat 47,86%. Kadar protein telah memenuhi persyaratan mutu mie basah berdasarkan SNI 2987:2015, meskipun kadar air masih melebihi standar. Penambahan tepung ikan teri medan berpotensi meningkatkan nilai gizi mie basah bebas gluten dengan tetap mempertahankan tingkat penerimaan konsumen.

Advancements in information technology encourage MSMEs to utilize information systems to enhance the effectiveness of their business management. Es Teh Arjuna, an MSME in Tegal City, faces challenges in monitoring partner sales and managing revenue because transactions are recorded manually using disparate methods; this results in slow data recapitulation, a risk of recording errors, and difficulty for the business owner in quickly accessing sales information. This study aims to analyze requirements, design, develop, and test a web-based information system for partner sales and revenue that provides information in  real-time. The Waterfall model was used for system development, while data collection involved observation, interviews, and a literature review. The system was developed using PHP and MySQL and tested via Black Box Testing. The results demonstrate that the system successfully integrates sales data from all outlets into a centralized database, streamlining the management of products, outlets, employees, cashiers, and sales transactions, as well as facilitating the generation of revenue reports for specific periods. Furthermore, the system enables the business owner to monitor sales performance more quickly, accurately, and systematically, thereby supporting decision-making and improving the operational efficiency of Es Teh Arjuna.

Asset inventory management is vital for enhancing the operational efficiency of an organization. At the Communication and Informatics Office of Tegal Regency, the process for managing asset inventory is still performed manually, leading to various issues including challenges in asset documentation, data retrieval, management of borrowing, reporting damage, and overseeing the condition of assets. This research intends to create a web-based asset inventory management solution that leverages Quick Response (QR) Code technology to boost the effectiveness, efficiency, and precision of inventory management. The methodology employed for the system's development was Agile Development, which includes stages such as planning, analyzing requirements, designing the system, developing, testing, and conducting iterative evaluations. Data gathering was conducted through observation, interviews, and reviewing existing literature. The completed system offers several key features, such as inventory management, the ability to generate and scan QR Codes, processes for borrowing and returning assets, damage reporting, a monitoring dashboard, and management of user access based on roles.  The findings reveal that the implemented system enhances asset identification through QR Codes, delivers real-time inventory data, and enables more efficient monitoring of assets. According to Black Box Testing results, all functionalities of the system performed in alignment with the identified functional requirements. Consequently, the web-based asset inventory management system utilizing QR Code technology can act as a useful solution to enhance the asset inventory management quality at the Communication and Informatics Office of Tegal Regency.

Employee performance is a critical element in organizational success, particularly in labor-intensive industries such as garment manufacturing. This study aims to analyze the effect of work stress (X1) and work environment (X2) on employee performance (Y) in garment industry companies in Semarang Regency. A quantitative descriptive approach with multiple linear regression analysis was employed. The population and sample comprised 96 employees using total sampling. Data were collected through a Likert-scale questionnaire (1–5) with 10 items per variable. All classical assumption tests (normality, multicollinearity, heteroscedasticity) were satisfied. Reliability tests yielded Cronbach's Alpha of 0.866 (work stress), 0.941 (work environment), and 0.937 (employee performance), confirming instrument reliability. Results indicate: (1) work stress has no significant partial effect on employee performance (t = 1.581; sig. = 0.117); (2) work environment has a significant positive partial effect on employee performance (t = 9.618; sig. = 0.000); (3) simultaneously, both variables significantly affect employee performance (F = 56.630; sig. = 0.000) with a coefficient of determination (R²) of 54.9%. These findings confirm that optimizing the work environment both physical and non-physical is the primary strategic priority for enhancing employee performance in the garment industry.

The internship registration process at the Communication and Information Office of Tegal Regency is still carried out manually, resulting in several problems, such as lengthy registration procedures, difficulties in managing and retrieving data, and the risk of document loss. This study aims to design and develop a web-based internship registration information system that supports the registration, verification, selection, and information delivery processes in an integrated manner. The system was developed using the Waterfall method, which consists of requirements analysis, system design, implementation, and testing stages. The application was developed using the Laravel framework and MySQL database. System testing was conducted using the Black Box Testing method to ensure that all system functions operate according to user requirements.The results indicate that the developed system can simplify the internship registration process, improve data management efficiency, accelerate the selection process, and provide real-time registration status information to applicants. Based on the testing results, all system features function properly and meet the predetermined functional requirements.

This study aimed to determine the effect of different levels of beef liver addition on the nutritional, physicochemical, and color characteristics of chicken patties. Beef liver, an underutilized animal by-product with high nutritional value, was incorporated at different levels (0%, 20%, 40%, and 60%) into chicken patty formulations. The experiment was conducted using a Completely Randomized Design with four treatments and five replications. The collected data were analyzed using analysis of variance (ANOVA) and followed by Duncan’s Multiple Range Test (DMRT). The results showed that the addition of beef liver had no significant effect (P>0.05) on protein content, water activity (aw), and b* values, but had a highly significant effect (P<0.01) on moisture content, fat content, cooking loss, texture, and color characteristics (L* and a*). Increasing beef liver levels improved the nutritional profile and modified the physical and visual characteristics of the patties. These findings demonstrate the potential of beef liver as a value-added functional ingredient for developing nutritious chicken patties while promoting the sustainable utilization of underutilized livestock by-products.

This study aims to determine and analyze the impact of the work environment on employee job satisfaction at the Human Resources Development Agency (BPSDM) of Jambi Province. The research is motivated by the importance of a supportive work environment in creating comfort, increasing motivation, and improving employee job satisfaction, since preliminary observations found several work-environment problems such as inadequate room cooling, disrupted toilet water supply, and unstable Wi-Fi network. This study used a quantitative approach with an associative research design. The population consisted of 75 employees, all of whom were used as the sample through a saturated sampling technique. Data were collected using a four-point Likert-scale questionnaire and analyzed with validity tests, reliability tests, classical assumption tests, and simple linear regression using SPSS. The results show that the work environment has a significant impact on employee job satisfaction, evidenced by a significance value smaller than 0.05, with a coefficient of determination of 61.8 percent. This indicates that the better the work environment, both physical and non-physical, the higher the employee job satisfaction. This research is expected to serve as a consideration for the agency in improving the quality of the work environment to support employee job satisfaction and performance.

Poultry agribusiness is a key driver of food security and rural economic development in developing countries. However, the sector remains vulnerable to infectious diseases such as avian influenza and Newcastle disease, which can disrupt production systems and supply chain continuity. Although previous studies have examined poultry disease control, biosecurity, and supply chain disruption, evidence on how risk and crisis communication supports outbreak management and resilience in developing-country poultry agribusiness remains fragmented. This study applied a systematic literature review (SLR) approach under PRISMA guidelines to synthesize risk and crisis communication strategies in poultry disease management and their contribution to supply chain resilience. Only seven relevant studies published between 2020 and 2025 met the inclusion criteria and were analyzed using the PICO framework. Quality assessment using the Mixed Methods Appraisal Tool (MMAT), combined with systematic data extraction in Microsoft Excel 2021, was conducted to improve methodological transparency and consistency. The novelty of this review lies in integrating communication strategies, enabling and constraining factors, digital tools, One Health perspectives, and public–private collaboration within a single analytical synthesis. The findings indicate that participatory, transparent, and coordinated communication can support disease prevention and crisis preparedness, particularly when strengthened by stakeholder trust, policy support, training, and accessible information channels. However, limited digital literacy, inadequate infrastructure, and cultural barriers may reduce communication effectiveness. Overall, this review highlights the need for inclusive communication systems and collaborative governance to strengthen poultry supply chain resilience in developing countries, while recognizing that the small evidence base limits broad generalization.

Cattle farming plays a strategic role in rural economic development by generating employment, supplementary household income, and contributing to food and nutritional security. However, in Indonesia, most smallholder cattle enterprises remain traditional and small-scale, leading farmers to treat livestock farming primarily as a secondary livelihood. While previous studies have largely focused on technical adoption and production performance, limited attention has been given to farmers’ psychological interest as a foundation for sustaining livestock enterprises. Therefore, this study aims to analyze the level of community interest in cattle farming and examine the influence of farmers’ characteristics (age, education level, herd size, number of family dependents, farming experience, and primary income) on such interest. A quantitative survey was conducted involving 34 cattle farmers in Taji Village, Jabung District, Malang Regency, selected using total sampling. Data were collected through structured questionnaires and analyzed using multiple linear regression. The findings reveal that community interest in cattle farming is generally high, as reflected in emotional (3.93), cognitive (3.81), and conative (3.74) dimensions measured on a four-point Likert scale. Regression results indicate that age has a significant positive effect (p = 0.022), whereas farming experience has a significant negative effect (p = 0.025) on interest levels. Other variables show no statistically significant influence. These findings highlight that psychological engagement in cattle farming is shaped more by demographic and experiential factors than by formal education or income level. The study contributes to the literature by positioning interest as a psychological determinant of livestock sustainability. Policy implications emphasize the urgency of risk-mitigation extension programs to address farmer burnout, incentivized intergenerational knowledge transfer, and cooperative-based institutional support to ensure smallholder livestock sustainability.

Background: Low birth weight (LBW) remains a major public health concern worldwide due to its significant contribution to neonatal morbidity and mortality, as well as its long-term adverse health consequences. Pregnancy intention has been identified as a potential determinant of adverse birth outcomes; however, evidence regarding its association with LBW remains inconsistent. This study aimed to examine the association between pregnancy intention and low birth weight in Indonesia using data from the 2012 Indonesian Demographic and Health Survey (IDHS). A cross-sectional study was conducted using secondary data from the 2012 IDHS. The study included 8,922 married women aged 15–49 years who had a singleton live birth within five years preceding the survey. Pregnancy intention was categorized as intended, mistimed, and unwanted. Multivariable logistic regression analysis was performed to assess the association between pregnancy intention and LBW after controlling for potential confounding variables. The prevalence of LBW was 6.2%. After adjustment for maternal age and antenatal care (ANC) visits, no significant association was found between mistimed pregnancy and LBW (AOR = 1.055; 95% CI: 0.765–1.454). An interaction effect was identified between unwanted pregnancy and pregnancy complications. Women with unwanted pregnancies accompanied by pregnancy complications had a higher risk of delivering LBW infants compared with women whose pregnancies were intended and without complications. Nevertheless, pregnancy intention was not significantly associated with LBW overall after adjustment for confounding factors. Maternal age outside the optimal reproductive age range (<20 years or >35 years) and inadequate ANC utilization were significantly associated with an increased risk of LBW. Pregnancy intention was not independently associated with low birth weight among Indonesian women after controlling for maternal and healthcare-related factors. Maternal age and antenatal care utilization were more consistent determinants of LBW. Strengthening maternal health services, particularly adequate antenatal care and early detection of pregnancy complications, may contribute to reducing the burden of low birth weight in Indonesia.

This study investigates the relationship between green practices and corporate tax avoidance, focusing on green accounting, environmental performance, and corporate social responsibility (CSR) among 19 Indonesian publicly listed companies from 2021 to 2024. The research aims to examine whether environmentally responsible strategies influence firms’ tax behavior and how sustainability practices mediate this relationship. A quantitative approach was employed, collecting data from corporate financial statements, ESG reports, and sustainability disclosures. The analysis included descriptive statistics, correlation tests, and pooled ordinary least squares regression to explore the effects of green accounting, environmental performance, and CSR on the effective tax rate (ETR) as a proxy for tax avoidance. Results indicate that green accounting is positively associated with higher ETR, suggesting reduced tax avoidance, while CSR negatively impacts ETR, implying that sustainability initiatives can be strategically used to mask aggressive tax planning. Environmental performance alone does not significantly affect tax behavior. These findings highlight the importance of transparency through green accounting to promote ethical tax practices, while cautioning that CSR may serve as a reputational tool rather than a mechanism for reducing tax avoidance. The study contributes to theoretical understanding in sustainability and corporate governance and offers practical insights for policymakers and corporate managers to align environmental and fiscal responsibilities.

Good study habits are an important factor in achieving success in elementary school learning. However, based on observations in class 3 of SDN 1 Bugel, it was found that students still show less disciplined behavior during the learning process, especially during group activities, such as talking without permission, not paying attention, and not following classroom rules. This study aims to improve students' study discipline in grade 3 of SDN 1 Bugel by using the Star Rewards system within the cooperative learning model called Numbered Heads Together (NHT). This study uses the Classroom Action Research (PTK) approach with a two-cycle design following the Kemmis and McTaggart model. The research subject is 17 third-grade students from SDN 1 Bugel. Data collection was done through observation, questionnaires, documentation, field notes, and interviews. Data analysis was done using both quantitative and qualitative descriptive techniques. The research results show that using the Star Rewards system in cooperative learning type NHT has significantly improved students' discipline in studying. The average score on the discipline questionnaire increased from 69.5 in cycle I to 85.5 in cycle II, showing an increase of 16.03 points. The minimum score for students has gone up from 50 to 75, showing that all students have improved in terms of discipline. Giving positive reinforcement through stars has been proven to motivate students to be more disciplined, focused, and responsible during learning. This finding suggests that combining the NHT model with the Star Rewards system can be an effective strategy for helping build discipline in elementary school students.

This study aims to analyze the trends in the prevalence of ischemic heart disease (IHD) in Indonesia from 2019 to 2023 based on data from the Global Burden of Disease (GBD) study, with a focus on gender differences between males and females. The data used in this study includes detailed prevalence data for IHD based on province and gender. The analysis reveals that the prevalence of IHD is higher in males than in females, with greater fluctuations observed in females, particularly after menopause. Although there are significant differences in the prevalence across several provinces, risk factors such as smoking, obesity, hypertension, and diabetes contribute significantly to the increasing prevalence of this disease. However, the differences in prevalence between provinces and genders are not always statistically significant, indicating that other factors such as access to healthcare, lifestyle, and socio-economic factors also influence the distribution of this disease. This study provides valuable insights for the development of gender-based heart disease prevention policies and introduces more targeted interventions.

Stroke remains one of the leading causes of mortality and disability worldwide, including in Indonesia. The increasing prevalence of stroke and Years Lived with Disability (YLD) reflects its growing health burden. This study aimed to analyze trends in stroke prevalence and YLD in Indonesia during 2021–2023 using data from the Global Burden of Disease (GBD). A quantitative descriptive design with an ecological and time-trend approach was employed. Secondary data were obtained from the GBD Results Tool and analyzed using R version 4.4.1. The analysis focused on major geographical regions across Indonesia. The results showed a gradual increase in both stroke prevalence and YLD during the study period. Java recorded the highest prevalence and YLD, while Maluku and Papua showed lower prevalence but greater variation in YLD. These trends were associated with urbanization, unhealthy lifestyles, hypertension, diabetes, and unequal access to healthcare and rehabilitation services. Pearson correlation analysis demonstrated a very strong association between stroke prevalence and YLD (r > 0.99) across all years. The findings highlight increasing stroke burden and regional disparities, emphasizing the need for equitable healthcare access, risk factor control, and strengthened post-stroke rehabilitation programs.

The rapid growth of Solar Power Plant (PLTS) installations in Indonesia faces efficiency challenges due to the continuously changing position of the sun. Fixed panel systems cannot absorb solar radiation optimally throughout the day. This study aims to evaluate and compare the efficiency of various solar tracking system methods developed over the last five years using a simple literature review approach. The research method was conducted by collecting, screening, and synthesizing secondary data from five reputable scientific journals using a synthesis matrix. The review results indicate that single-axis tracking systems increase power efficiency by 15% to 24.5%. Meanwhile, dual-axis systems achieve higher efficiency, ranging from 30% to 35%, by tracking both horizontal and vertical solar movements. In terms of control systems, astronomical algorithms are found to be more reliable in cloudy weather conditions than pure light sensors. However, the internal power consumption of the actuator motors remains a critical factor that can reduce the system's net energy gain. The implication of this study emphasizes the importance of shifting future research focus toward energy-saving algorithm optimization to maximize net power yield in dynamic solar panel implementations.

Early Marriage in Pagar Alam City is currently still quite high, the Pagar Alam Religious Court only relies on a recap of the number of cases per year to draw conclusions about the early marriage data. This method has limitations in classifying early marriage factors, so the Religious Court has difficulty in monitoring and controlling the occurrence of Early Marriage in Pagar Alam City. The purpose of this research thesis is to produce a classification system for Early Marriage factors using the K-Nearest Neighbor Algorithm to find out what factors influence the occurrence of Early Marriage, the method used in this study is the Cross Industry Standard Process for Data Mining (CRISP-DM) which has 6 stages, namely: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The testing stage in this study uses Confusion Matrix and BlackBox Testing. The final results of this study indicate that the system can classify Early Marriage factors. The classification model built achieved an Accuracy of 94.12% and a Precise value of 85.71% and a Recall value of 100.00%, while testing using Black Box testing in the form of alpha obtained a feasibility value of 83.2%, so this system is very suitable for use.  

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.

Pesatnya kemajuan teknologi digital telah mempercepat adopsi *Internet of Things* (IoT) dalam berbagai aspek kehidupan sehari-hari. IoT memungkinkan perangkat fisik untuk berkomunikasi dan bertukar data melalui konektivitas internet, sehingga proses menjadi lebih otomatis, efisien, dan responsif. Studi ini bertujuan untuk menganalisis pemanfaatan IoT dalam meningkatkan efisiensi kehidupan sehari-hari melalui pendekatan tinjauan pustaka. Metode penelitian yang digunakan adalah *Systematic Literature Review* (SLR), yang mengkaji dan menyintesis temuan dari berbagai studi terdahulu mengenai penerapan IoT di berbagai sektor, seperti rumah pintar (*smart home*), layanan kesehatan, transportasi, pertanian, dan pemantauan lingkungan. Hasil analisis menunjukkan bahwa IoT berkontribusi signifikan terhadap peningkatan efisiensi operasional, penghematan energi, perbaikan proses pengambilan keputusan, serta peningkatan kenyamanan pengguna. Terlepas dari berbagai manfaat tersebut, masih terdapat sejumlah tantangan, termasuk keamanan data, masalah privasi, interoperabilitas antarperangkat, biaya implementasi, dan ketergantungan pada infrastruktur internet yang stabil. Temuan studi ini menunjukkan bahwa IoT telah menjadi salah satu teknologi kunci yang mendukung transformasi digital dan peningkatan kualitas hidup. Pengembangan di masa mendatang diharapkan berfokus pada penguatan aspek keamanan, perluasan standar interoperabilitas, dan integrasi kecerdasan buatan (*artificial intelligence*) guna memaksimalkan efektivitas penerapan IoT dalam aktivitas sehari-hari.