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This paper presents an IoT-enabled dual-axis solar tracking system that integrates  a Kalman filter and a Proportional-Integral-Derivative (PID) controller to enhance tracking accuracy, energy efficiency, and operational stability. Addressing the ongoing challenge of maxi- mizing photovoltaic (PV) panel output, the proposed system leverages an ESP32 microcontroller and the Blynk platform to provide real-time monitoring, remote parameter adjustments, and flexible connectivity. Light Dependent Resistor (LDR) sensors measure sunlight intensity from multiple directions, while MG90S servo motors dynamically adjust the panel’s azimuth and elevation. The Kalman filter refines noisy sensor data to yield precise sun position estimates, enabling the PID controller to respond quickly and accurately to deviations in panel orientation. Through extensive testing conducted over several days, including both clear and partially cloudy conditions, the system achieved an average Root Mean Square Error (RMSE) as low as 1.2° under clear skies and maintained RMSE below 2.0° even under partial shading. Compared to a fixed-panel baseline, daily energy harvesting improved by approximately 43%. These results confirm that advanced estimation and control algorithms, when combined with IoT functionali- ties, significantly outperform simpler tracking methods and static installations. Furthermore, the low-cost, compact design and user-friendly interface facilitate practical deployment in a range of scenarios, including small-scale and off-grid installations. By ensuring continuous alignment of the PV panel with the sun, the system not only increases overall energy capture but also reduces maintenance requirements through remote oversight. This research thus offers a robust, scalable approach to improving solar energy utilization in diverse and evolving environmental conditions.

This study aims to classify chicken eggs based on their physical size using the concept of computer vision and image segmentation techniques. Compared to the standard methods that have been used so far, this alternative technology is expected to help standardize measurements, cost efficiency, and work effectiveness. In this study, the classification of chicken eggs was carried out using image segmentation and regression analysis. Thus, it is expected that the classification of chicken eggs will have increasingly accurate values. After the image is taken using a webcam, the image segmentation process is used to divide the image into homogeneous areas based on the RGB (true color) color intensity similarity standard. Regression analysis is used to study and measure the relationship between the number of pixels and the weight of the object. The number of pixels indicating the area of ​​the object is the result of image segmentation, which will be entered into the regression equation to calculate the weight (grams). The results showed that the color characteristics of chicken eggs have a normalization of R at least 0.41 and a normalization of G at least 0.3. In addition, the classification test has an accuracy of 100% (36/36) and a weight estimation accuracy of 42 percent (15/36).

Inventory control is a crucial element in supporting the smooth production process in manufacturing companies. PT Bonecom Tricom, a producer of automotive spare parts, faces challenges in managing SPP-C05 Black plastic pellets due to inaccurate estimation methods, resulting in material accumulation in storage. This study aims to propose inventory planning using time series and min-max methods to optimize material requirements. The results show that the Holt-Winter's Multiplicative method provides the best forecasting accuracy with the lowest error rate (MAPE) of 2%. Furthermore, implementing the min-max method can reduce inventory costs by 14.245%. This study is expected to serve as a reference for companies to manage material inventory more effectively and efficiently.

Russiva and Crookes proposed the widely used, highly efficient, robust Q-score parameter scale in their 1993 work, and they approximated it using "fast" Huber's M-scores. Shown What proposed us M-scores are highly efficient and robust on arbitrary nom distributions, thanks to correct choice parameter approximations. We pay particular attention to the Cauchy divisions  and cases of Gaussian distribution . Important terms: Cauchy's law, parameter scale, robustness, and Gaussian distribution With the Q-estimate as a foundation, the M-estimates of the scale parameter are very efficient and robust. Rousseeuw and Croux (1993) proposed the scale parameter of Q-estimate, which is often used with fast Huber M-estimates, and we were able to get rather close to it. By meticulously choosing the approximation parameters, we proved that the proposed M-estimates are efficient and resilient for any data distribution. In order to measure the robustness and efficiency of scale M estimates , we calculated their asymptotic variances; breakdown points , and influence functions. The Cauchy and Gaussian distributions were our main focus. Notably, the proposed robust estimate is consistent the Maximum likelihood estimation for the Cauchy distribution. Last but not least, these robust and efficient scale estimates need three to four times less computing time than their comparable Q-estimates. The research provides robust and efficient solutions for estimating distribution parameters more quickly and with less complexity, making them suitable for applications requiring fast and accurate computations.  

This think around focuses to essentially and comprehensively see at the concept of citizenship from the focuses of see of sacrosanct law and Islamic law. Citizenship may be a legal status that characterizes the rights and commitments of an individual interior a state. Inside the setting of sacrosanct law, citizenship is controlled through constitutions and citizenship laws that incorporate distinctive perspectives such as the benchmarks of citizenship (ius soli, ius sanguinis), human rights, and conscious commitments. Sacrosanct law besides considers the measures of vote based framework, value, and adjust in choosing citizenship status. On the other hand, from the point of see of Islamic law, the concept of citizenship isn't because it were seen from a legal-formal point but in addition incorporates moral and ethical estimations. Islamic law gives heading on the commitments and rights of individuals as parcel of the ummah (the Muslim community), based on Shariah measures such as value ('adl), open welfare (maslahah), and the confirmation of fundamental human rights. Besides, Islamic law considers the rights of non-Muslims interior an Islamic state setting through the concept of "ahl al-dhimmah" (guaranteed people) and the benchmarks of minority rights security. This examine grasps a essential and comparative examination approach to evaluate the resemblances and contrasts between these two perspectives. The revelations illustrate that in show disdain toward of foremost contrasts in their philosophical and methodological bases, both secured law and Islamic law share common goals, to be particular the confirmation of human rights and social value. In any case, contrasts inside the interpretation of these concepts can impact the execution of citizenship approaches in several countries. The think approximately additionally highlights the challenges and openings in coordination Islamic law benchmarks into the framework of display day sacrosanct law, particularly in Muslim-majority countries. At final, the examine proposes the require for more genuinely interest talk to realize a concordant agreeable vitality between secured law and Islamic law in controlling citizenship sensibly and comprehensively.

The purpose of this study was to analyze the effect of exchange rate, gross domestic product, and money supply on inflation in Indonesia for the period 2000-2023. This research uses quantitative data. This study uses the Error Correction Model (ECM) test. From the estimation results obtained the exchange rate has a positive and significant effect on inflation in Indonesia in the short term. While the gross domestic product (GDP) variable has a positive and insignificant effect on inflation in Indonesia. And the variable money supply has a negative and significant effect on inflation in Indonesia.

Business processes in an institution are an important measure of customer satisfaction. Universities as institutions that have laboratory work units, must have service standards to ensure they are optimal. Services that are still conventional provide problems in terms of time and accuracy. One of the first steps in building a system is designing a business process that will be a reference in building the system. And there are service times that can be used as a reference in the services provided. Based on the research that has been carried out, it was found that the recommended business process model design can speed up service both in terms of time and steps.

In regional infrastructure development activities, concrete mix design is a crucial aspect that must be mastered to ensure construction projects are carried out according to plan, meeting cost, quality, and time targets effectively and efficiently, while also being accountable. CV. Marapi Jaya, a construction service company operating in Fakfak Regency, serves as a partner in this Community Service initiative. CV. Marapi Jaya, along with local participants, will be guided and trained through the activity titled Enhancing Technical Skills of Construction Practitioners in Fakfak Regency Through Normal Concrete Design Clinic.The training employs a learning by doing method, focusing on concrete mix design procedures in compliance with SNI (Indonesian National Standard). The materials provided to participants include: an introduction to SNI methods and its design components, calculations for normal concrete mix design, and estimation of material requirements. At the end of the training, participants will receive practical sessions on designing normal concrete mixes and their components.Through this clinic, aligned with SNI standards, the program aims to improve the understanding and skills of participants, including staff from CV. Marapi Jaya and groups of indigenous Papuans engaged in construction services. The outcomes of this community service activity include a publication in an accredited SINTA 6 journal and an article in print or electronic local media documenting the event

One of the most crucial subjects in the analysis of statistical models  is the identification of important variables. Therefore, the search for best variable selection methods is a good in obtaining best estimators. The Lasso method is considered the most effective approach for variable selection and parameter estimation in building statistical models with high explanatory power in representing the studied phenomenon. Therefore, using the Lasso method to estimate the parameters of a regression model that contains a dependent variable with data that is censored at zero can be achieved through the use of    Lasso tobit principal component regression, it has attractive properties in estimating the parameters of this model. The our proposed method is illustrated via simulation scenario and a new real data .

Organizational achievement is influenced by the work environment where employees carry out activities also have an important role in improving their performance. The work environment refers to the material and psychological conditions of employees in the organization. This study aims to determine the effect of work motivation and work environment on employee performance at the Kulon Progo Regency Small and Medium Enterprises Cooperative Office. In this study, the data collection techniques used were questionnaires, observation, documentation and literature study. The analysis used is instrument test, classical assumptions, multiple regression, hypothesis testing, and R2 estimation. Sampling by distributing questionnaires directly to 37 samples. The results of data processing from motivation (X1) have a positive and significant effect on employee performance, namely tcount 2.573> ttable 2.032 with a significance of 0.015 <0.05 and the work environment (X2) has a positive and significant effect on employee performance, namely tcount 2.903> ttable 2.036 with a significance of 0.006 <0.05. Fcount value 7.803> Ftable 3.28, with a significance value of 0.002 <0.05. This means that motivation and work environment simultaneously affect employee performance. The results of the coefficient of determination test obtained an R-square value of 0.315 or 31.5%, which means that the influence of the independent variables on the dependent variable and the rest is influenced by other factors outside the research variables.

This thesis aims to determine and analyze the simultaneous influence of cash turnover, accounts receivable turnover, and inventory turnover on the profitability of automotive sub-sector companies and their components listed on the Indonesian Sharia Stock Index for the period 2019-2023. As well as to determine and analyze the partial influence of cash turnover, accounts receivable turnover, and inventory turnover on the profitability of automotive sub-sector companies and their components listed on the Indonesian Sharia Stock Index for the period 2019-2023. This study uses a quantitative approach with secondary data, using panel data regression analysis tools. The results of the conclusions are as follows: 1) The estimation results show that simultaneously the cash turnover, receivables turnover, and inventory turnover variables together have a positive and significant effect on the profitability of automotive sub-sector companies and their components listed on the Indonesian Sharia Stock Index for the 2019-2023 period. 2) The estimation results show that partially the cash turnover variable has a positive and significant effect on the profitability of automotive sub-sector companies and their components listed on the Indonesian Sharia Stock Index for the 2019-2023 period. The receivables turnover variable has a positive and significant effect on the profitability of automotive sub-sector companies and their components listed on the Indonesian Sharia Stock Index for the 2019-2023 period, and the cash turnover variable has a positive and significant effect on the profitability of automotive sub-sector companies and their components listed on the Indonesian Sharia Stock Index for the 2019-2023 period.

Business Aspects In the current era of globalization, hospital management is inevitable, this is also faced by PMI Bogor Hospital which is a class B private hospital located in the middle of Bogor City. Assessing the results of Google reviews until January 2024, PMI Hospital Bogor received a Rating rating of 3.7 out of 5.0, which means that the level of trust and patient satisfaction with PMI Bogor Hospital's services is still low. data on repeat visits of old patients at the Afiat polyclinic which reflects a cumulative decrease in patient loyalty, which is around 1-2% in 2023 compared to the previous year. The reliability of the service, brand image and price as well as integrity are suspected to be the causes. The research method used is quantitative descriptive with a cross sectional approach. The number of samples in this study was taken using a convenient sampling technique with a sample of 170 respondents. The data collection tool used used a questionnaire with a linkert scale. It was found that the increase in patient loyalty was indirectly positively influenced by brand image through service integrity as an intervention (indirect > direct estimation value; 0.284 > 0.171), and directly positively influenced by price (estimated value 0.663; P value 0.000) and Service Reliability (estimated value 0.170; P value 0.048) without going through integrity as an intervention. The conclusion of this study is that there is a significant positive influence between brand image variables that are influenced by integrity, but not on price and service reliability which directly have a positive effect on increasing patient loyalty without going through integrity variables

Epilepsy, or apoplexy, is a chronic disease characterized by recurrent seizures and impaired consciousness due to disorders of the central nervous system. In developing countries, including in RSU Putri Bidadari, epilepsy management is often hampered by high consultation costs, resulting in suboptimal quality of treatment and patient recovery. To overcome this challenge, a system is needed that can facilitate the diagnosis and treatment of epilepsy more efficiently. By using this method, RSU Putri Bidadari can improve the precision of epilepsy diagnosis and determine more appropriate treatment steps, despite limited resources. The Bayes method, as a statistical approach, offers a potential solution to improve the accuracy of diagnosis through data-based probability estimation of diseases and symptoms reported by patients such as frequent hunger, thirst, urination, weight loss, vaginal infections, easy fatigue, tingling legs, and blurred vision. The analysis results of the system show an estimated probability of 73% for patients suffering from generalized epilepsy. The Bayes method-based system is expected to help RSU Putri Bidadari in providing more effective treatment and improving the overall quality of life of epilepsy patients.

This study aims to determine the effect of monetary policy on economic growth. This study uses the Vector Autoregression method by completing the assumption test and estimation on the research variables of inflation, investment, credit, interest rates and gross regional domestic product. Time series research data from 2003-2022 sourced from the Central Bureau of Statistics of North Sumatra (BPS) SUMUT with the results obtained are inflation and interest rates give the results that inflation is influenced by investment and credit, until investment affects gross regional domestic product. Then credit also affects inflation and interest rates and gross regional domestic product is influenced by investment and credit. Thus, in determining policies that encourage economic growth the government must consider a more coordinated monetary policy strategy to deal with the dynamics of strengthening interest rates, controlling inflation, can be measures that support economic stability.

The research comprised multiple simulated tests to determine the relationship between (sample size, distribution parameter value, estimation method, and pollution indivuduales). The experimental findings indicate that the estimator is influenced by sample size, the value of distribution parameter, estimation method, and pollution indivuduales. The results of the mean square error analysis indicate that (robust estimation method) produces the best results with the lowest mean square error, and the best estimation method was (191) of (243) simulation experiments. Additional statistical distributions with additional factors can be performed to demonstrate additional results.

Tenascins are glycoproteins groups found in the extra-cellular matrix . The sphingolipidome in blood distinguished as a hundreds types of fats with many different essential chemical and physical properties. Insulin resistance is impaired biologic response of many target tissues to stimulation of insulin, and all tissues that have insulin receptors exposed insulin resistant. Materials and methods:  Sixty  sampling were participated, their ages ranged from (30-38) years. Biochemical measurements: insulin by AFIAS-10 , TN-X and sphingosine measured by kits by Sun Long Biotech – China.  Results:- the level of Tenascin-X, sphingosine and HOMA-IR in the obese group increase significantly (P<0.01) when compared to non-obese group. Cut-off  for Tenascin-X was 10.382pg./ml, for sphingosine was 10.93 ng./ml, and for HOMA-IR was 1.43 ng./ml. Conclusions: tenascin-X sphingosine and HOMA-IR  were related with obesity. Tenascin-X, Sphingosine and HOMA-IR were related to obesity

This research aims to analyze the influence of e-commerce and financial technology on income inequality in Indonesia. This research uses panel data from 10 provinces in Indonesia in the 2018-2022 period. This research uses a panel random effect model (REM) regression approach with a GLS (generalized least square) estimation tool. The estimation results from this research show that e-commerce has a negative and significant effect on income inequality in Indonesia. Meanwhile, financial technology has a positive and significant effect on income inequality in Indonesia. It is hoped that the results of this research can be used as consideration for the government in making policies in an effort to reduce income inequality in Indonesia.  

Increasingly advanced technology currently encourages people to make transactions using electronic money (e-money). Currently, more and more Indonesia people are using electronic money, this can be seen from the volume of electronic money transactions which is increasing from year to year. People prefer to make transactions using electronic money because it is easier to transact with traders. This research aims to analyse the variables of interest rates, inflation, money supply, e-money and electronic money transactions in Indonesia. The type of research is quantitative analysis using secondary data from 2011 to 2021 with quarterly annual data take from Bank Indonesia (BI), World Bank and BPS (Central Statistics Agency). The analysis method used is VAR (Vector Autoregressive) and refined with Forecast Error Variance Decomposition (FEVD) analysis. The results of the VAR analysis show that there is a contribution to the variable itself and other variable. From the estimation results, it turns out that there is a reciprocal relationship between one variable and another variable, or in other words, all variable, namely the variable Inflation, JUB, E-Money, Interest Rate and Elecronic Money Transaction contribute to each other. The results of the FEVD analysis show that not all variables contribute to the variable itself.

This study aims to determine the effect of profitability, company size and capital structure on price to book value in banking companies. The research method used is quantitative research. The sampling technique used is using purpose sampling technique. Data analysis using Eviews 12 software and testing is carried out, namely data analysis methods (descriptive), regression model estimation methods, panel data selection, Multiple Linear Regression Analysis, and hypothesis testing. The results show that 1) there is no effect of profitability on price to book value. 2) there is an influence and significant company size on price to book value. 3) there is an influence and significant capital structure on price to book value. 4) the existence of independent variables simultaneously influence and significant to the dependent variable.    

PT Swadaya Graha is a company that works in the field of construction, fabrication and steel manufacturing. One of the machines used in carrying out its operational activities is the Baoji 1660A lathe. The lathe often fails during the production process. This study aims to determine critical components, critical component reliability values, maintenance scheduling intervals and maintenance cost estimates of the Baoji 1660A lathe using the Reliability Centered Maintenance (RCM) method. The results of this study show that the electrical system with an RPN value of 240, v-belt with an RPN value of 168, and gearbox with an RPN value of 60 as critical components. The reliability value of the electrical system approaches 0.5 at a time interval of 640 hours or 80 working days, the reliability value of the v-belt approaches 0.5 at a time interval of 208 hours or 26 working days, and the reliability value of the gearbox approaches 0.5 at a time interval of 384 hours or 48 working days. From the scheduling interval, the estimated total maintenance cost in 2025 is IDR 7,019,092, in 2026 is IDR 3,615,386, in 2027 is IDR 4,187,484, in 2028 is IDR 4,276,752, and in 2029 is IDR 3,615,386.