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In the digital era, home security has become a crucial aspect with the increasing risk of theft due to the weaknesses of traditional lock systems. This study develops an automatic door security system based on the Internet of Things (IoT) by integrating Radio Frequency Identification (RFID) technology and mobile applications. This system allows users to lock and unlock the door and monitor the door condition and battery power in real-time from a distance. To increase flexibility and security, this system also utilizes the Mamdani Fuzzy logic method in decision making, based on parameters such as battery power, user distance from the door, and environmental security level. With this approach, the system can dynamically adjust access according to the situation. The test results show that the developed system is able to provide a more efficient, secure, and adaptive security solution compared to conventional locks, as well as providing better convenience and control for users in managing home security intelligently and integratedly.  

This study explores the implementation of Computational Thinking (CT) in physics learning to enhance students' analytical and logical reasoning. Using an experimental approach with a problem-solving model, the research involved students enrolled in physics courses, divided into experimental and control groups. The experimental group engaged in simulation-based and algorithmic problem-solving tasks, while the control group received conventional instruction. The research focused on assessing improvements in logical reasoning through pre- and post-tests. Data analysis was conducted quantitatively, comparing the pre-test and post-test results of both groups. Findings revealed that the experimental group showed a significant 31% improvement in logical reasoning skills, while the control group demonstrated a modest 5.8% improvement. This indicates that CT-based activities, such as simulations and algorithmic tasks, are more effective in enhancing students' analytical and problem-solving abilities compared to traditional methods. The study highlights the importance of integrating CT into physics education, as it promotes deeper cognitive engagement, critical thinking, and practical problem-solving skills. These findings suggest that CT strategies can be a powerful tool in improving students' reasoning abilities and better preparing them for complex scientific and real-world challenges.

Trauma healing programs for child victims of violence are crucial because they can help them recover physically, emotionally, and psychologically. Children who experience sexual violence are at risk of experiencing long-term trauma that impacts their mental and social development. This study aims to determine the implementation of the Trauma Healing Program for child victims of sexual violence, which was implemented by the Pekanbaru City Department of Women's Empowerment, Child Protection, and Community Empowerment (DP3APM) in 2023. This study used a qualitative approach with in-depth interviews. Seven informants participated in this study: the Head of DP3APM, the Head of the UPT PPA, community members, and a psychiatrist. This study found that the trauma healing program encompasses three main stages. First, the security and stabilization stage (establishing safety), carried out by providing compassionate therapy and support to the victim's parents. Second, the remembering and grieving stage (remembering and grieving), carried out by gathering information from the victim and providing healing therapy to restore their mental state. Third, the connecting and integrating stage (reconnection), which helps victims accept their condition and return to normal life. For victims whose condition remains unstable, the healing program will continue. The main obstacle to implementing this program is budget constraints, particularly for logistical needs such as accommodation, food, and transportation. Despite this, the trauma healing program conducted by the Pekanbaru DP3APM has been well-implemented and has provided victims with a gradual and structured response and recovery effort. The main obstacle to implementing this program is budget constraints, particularly in providing facilities such as housing, daily meals, and transportation.

As global pressure for decarbonizing the maritime sector intensifies, ports worldwide, including in Indonesia, are facing demands to transform into green ports. This study aims to conduct an in-depth analysis of the multidimensional challenges and complex stakeholder dynamics in the implementation of the green port concept in Indonesia. Using a descriptive qualitative method based on a documentary study, this research integrates Stakeholder Theory and Institutional Theory to dissect the interactions among actors and the external pressures shaping sustainability strategies. The main findings indicate that the green transition in Indonesian ports is hindered by three primary challenges: (1) economic constraints related to high investment and operational costs, (2) socio-economic trade-offs that risk impeding regional economic growth, and (3) fragmented governance among government institutions. Stakeholder analysis identifies fundamental conflicts of interest among the government, port operators, the private sector, and local communities. The implication of this research is the need for a shift from showcase projects to a holistic, systemic transformation, supported by a robust multi-stakeholder governance platform and effective incentive schemes to encourage widespread adoption of green technology.

This study examines the key factors within the S.C.C.O.R.E model (stimulus, capability, collusion, opportunity, rationalization, ego), widely known as the Fraud Hexagon framework, in detecting the potential for financial statement fraud using the Beneish M-Score approach. The stimulus element is proxied by financial instability, capability by change in director, collusion by cooperation with government project, opportunity by ineffective monitoring, rationalization by change in auditor, and ego by the frequent number of CEO’s pictures. This research focuses on companies that received the special E notation (companies with negative equity) listed on the Indonesia Stock Exchange (IDX) during the 2019-2023 period, with a total of 145 observations. The sample was selected using a purposive sampling technique. A quantitative approach is employed in this study, utilizing secondary data sourced from annual reports and financial statements, analyzed through logistic regression. The results show that financial instability, change in auditor, and frequent number of CEO’s pictures have a positive and significant effect on the potential for financial statement fraud. Meanwhile, change in director, cooperation with government project, and ineffective monitoring have no significant influence on the potential for financial statement fraud.

Supplier selection is a strategic element in supply chain management to ensure operational efficiency and business sustainability. This study aims to determine the best urea supplier for PT DSSA 1, a textile company specializing in dyeing and finishing processes, using the Analytic Network Process (ANP) method. This method was chosen for its ability to systematically analyze interdependencies among criteria, leading to more accurate and comprehensive decision-making. Data were collected through direct observation, in-depth interviews with internal company sources, and relevant literature reviews. The analysis was based on five main criteria: quality, price, service, delivery, and flexibility, each further broken down into sub-criteria. The results indicate that quality is the most critical criterion, with the highest weight of 23.19%, followed by price, service, and delivery, each with relatively balanced weights of 19.93%. Flexibility, although ranked last with a weight of 17.01%, remains relevant, especially for urgent orders. Based on the analysis, Supplier A was identified as the best choice with the highest overall weight, followed by Supplier B and Supplier C. This study provides practical contributions by offering strategic recommendations for PT DSSA 1 in selecting suppliers that support production efficiency and business sustainability. The study is limited in the scope of criteria and the number of suppliers analyzed. Future research is recommended to explore more variables, expand the sample size, and consider the implementation of digital technologies to optimize the supply chain.

In the midst of the digital era filled with various information, the ability to sort and understand accurate information is very necessary so that students can better understand Islamic teachings. The service of Islamic Religious Education (PAI) learning assistance by improving students' critical thinking skills aims to explore effective learning methods in PAI subjects in order to improve the critical thinking skills of grade XI students at SMK Hayatul Islam. This study applies the assistance method, which includes the stages of observation and coordination, implementation, and evaluation and reflection. Based on the results of the service, it shows that the use of discussion-based methods, problem solving, and analysis of religious texts helps hone students' critical thinking skills. They become more active in conveying ideas and are able to connect religious concepts with everyday life. However, there are several obstacles found, such as students' difficulty in constructing logical arguments and time constraints in the learning process. Therefore, more intensive assistance from teachers and the application of more varied methods are needed so that PAI learning is more effective in developing students' critical thinking patterns.

In the curcumin compound there are aromatic compounds that have electronic spins on each side of the benzene. In previous research, the concentration of curcumin and H2O as coatings on copper coils could provide physical changes to the characteristics of copper coils, namely increasing the strength of the magnetic field and increasing the electric current in the coil. The fuzzification process can be described using membership variables with concentrations of curcumin and H2O as input, magnetic field strength and current as output. It is known that the greatest concentration of curcumin indicates increased magnetic field strength and electric current. Simulation of the aromatic spin on the curcumin compound as an Op Amp shows that the highest curcumin concentration value results in an increase in the output voltage (Vout).                                                                                                

This ponder analyzes the impact of execution estimation framework on work inspiration and representative efficiency at the Staff of Military Coordinations, Indonesia Defense College, and tests the intervening part of work inspiration. The inquire about strategy employments a quantitative approach with a study of 125 respondents (teachers, scholastic staff, and bolster staff). Information were analyzed utilizing SEM. The comes about appeared that the execution estimation framework incorporates a positive and noteworthy impact on work inspiration (β = 0.52, p < 0.001), and work inspiration encompasses a positive impact on representative efficiency (β = 0.64, p < 0.001). Work inspiration moreover altogether intercedes the relationship between execution estimation framework and worker efficiency (β = 0.33, p < 0.01). This finding bolsters Self-Determination hypothesis which emphasizes the significance of satisfying mental must  increment natural inspiration. Show approval through the goodness-of-fit test appeared a great fit with the observational information (Chi-Square/df = 2.15, RMSEA = 0.06, CFI = 0.95, TLI = 0.93). For all intents and purposes, this ponder suggests an moved forward execution estimation framework that's  more transparent and reasonable to extend worker inspiration and efficiency. The investigate suggestions give hypothetical and commonsense commitments to the advancement of execution administration within the military and comparative organizations.

The medical committee is a non-structural body whose members are selected from among the heads of functional medical staff (SMF) or those representing SMF in the hospital. Objective : This study aims to evaluate the role of the nursing medical committee and its influence on the quality of inpatient services at Labuang Baji Hospital Makassar. Method : Analytic descriptive method with the design used crosssectional design Result : Logistic regression analysis showed a significant influence between the role of the medical committee and the quality of inpatient services with a value of p=0.002. Further quality of inpatient services with a value of p=0.002. Further logistic regression analysis showed that the role of the medical committee had a very large influence on service quality, with an Exp(B) value of 44,000. This indicates that each increase in the role of the medical committee can increase the likelihood of good service quality by 44 times. Overall, the results of this study indicate that the role of the nursing medical committee is very influential in improving the quality of inpatient services at Labuang Baji Hospital Makassar. This finding is expected to be the basis for developing strategies to improve service quality in the hospital. Suggestion : Ensure that the roles and responsibilities of the medical committee and nurses are clear and mutually supportiveThe medical committee should have a deep understanding of the care process, while nurses need to know how the role of the medical committee can influence and support their practice.

The supply chain is crucial to company operations, especially in the poultry farming industry, to ensure the availability of quality feed. PT X, located in Kintamani, faces challenges in its supply chain due to the long distance from its main supplier, PT Sreeya Sewu. This has led to high logistics costs and risks of delivery delays, which impact the company’s operational efficiency. This study aims to assist PT X in selecting the best supplier using the Analytical Hierarchy Process (AHP) method and the Super Decision application. With five criteria and 15 sub-criteria, the results show that UD Tunas Harapan is the best supplier, excelling in nine sub-criteria.  

This study aims to determine the effect of profitability, debt ratio, previous year audit opinion, and audit firm size on going concern audit opinion. The population in this study consists of companies listed in the property and real estate sector on the Indonesia Stock Exchange (IDX) for the period 2020-2023. The method used in this research is purposive sampling, with a sample of 68 companies. The analysis technique employed is logistic regression analysis, using IBM SPSS version 22 as the analysis tool. The results of this study indicate that the debt ratio and previous year audit opinion have a positive and significant effect on the going concern audit opinion, while profitability and audit firm size do not have an effect on the going concern audit opinion.

Travel insurance provides financial protection for individuals during their trips, both domestically and internationally. With the increasing demand for travel insurance, insurance companies face challenges in efficiently managing claims. This study aims to develop a predictive model to classify whether an insurance policy will be claimed based on historical customer and transaction data. This research utilizes a dataset containing various features related to travel and policyholders, such as agent type, distribution channel, insurance product, travel duration, and premium amount. The methods used include data exploration, feature processing, and the application of machine learning algorithms such as Logistic Regression, Random Forest, and XGBoost. Experimental results indicate that the XGBoost model performs the best, achieving the highest accuracy compared to other models. With this predictive model, insurance companies can optimize claim evaluation processes, reduce fraud risks, and improve operational efficiency in handling travel insurance claims.

Denpasar City has the highest number of babies born with a birth rate of 16,453 with a TFR of 1.85. In 2023, the number of fertile couples will be 13,459. Data analysis techniques usedin researchthis is binary logisticwithNagelkerke R Square value of 0.933 couples with a percentage of new acceptors of 48.56 percent. East Denpasar District is a district that has successfully implemented the family planning program which is an example for other areas. The purpose of this study was to analyze the husband's age, wife's age, income, husband's education, wife's education, and number of children on the decision to choose a contraceptive method for fertile couples in East Denpasar District. The results of this study indicate that 1) Husband's age, wife's age, income, husband's education, wife's education, and number of children have a simultaneous effect onprobabilitydecision on choosing a contraceptive method for fertile couples in East Denpasar District. 2) Partially, the husband's age, income, husband's education, and wife's education have a negative and significant effect onprobabilitydecision on choosing a contraceptive method for fertile couples in East Denpasar District. 3) The wife's age variable has a positive and significant effect onprobabilitydecision on choosing a contraceptive method for fertile couples in East Denpasar District. 4) The number of children does not affectprobabilitydecision on choosing contraceptive methods for fertile age couples in East Denpasar District.    

PT XYZ is an institution or agency with an important role in carrying out government tasks in certain fields. One of the units owned by PT XYZ is an incubator unit that focuses on providing support to MSMEs to develop and improve their business competitiveness. However, in the process of selecting MSMEs that are eligible for the incubation program, there are still obstacles due to an assessment system that is not well structured. This causes difficulties in determining MSMEs that truly meet the criteria and have the potential to develop through the incubation program. One of these problems is the development of a Decision Support System (DSS) application to assist the process of selecting MSMEs that are eligible for incubation at PT XYZ. This application uses a straightforward, logical, and easy-to-understand decision-making method known as the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. By implementing this method, the system is expected to provide more objective and structured assessment results, so that it can increase efficiency in determining the MSMEs that have the most potential to be fostered through the incubation program at PT XYZ.

GoSend as an instant delivery service from Gojek plays an important role in meeting the demand for fast and reliable delivery. However, there are still challenges in terms of service quality, customer satisfaction, and competitiveness in the digital logistics industry. This study analyzes GoSend's electronic service quality attributes using the Kano Model to identify the factors that most influence customer satisfaction. The quantitative method is applied through a survey of 206 GoSend users in Semarang, with the integration of E-Servqual indicators and Kano Model attributes. The results of the study show that most service attributes fall into the "Indifferent" category, meaning they do not have a significant effect on customer satisfaction. However, attributes such as transaction data security and item conditions fall into the "One-Dimensional" category, so improvements in these aspects can increase customer satisfaction. The analysis of the Extent of Satisfaction (EOS) and Extent of Dissatisfaction (EOD) shows that responsiveness to complaints and service personalization still need to be improved. Based on these findings, strategic recommendations that can be given are increasing customer service responsiveness, optimizing compensation policies, and strengthening security systems to increase customer trust. The integration of the Kano Model with E-Servqual provides a comprehensive evaluation of the quality of digital logistics services while also being a guide for GoSend in increasing customer satisfaction and loyalty amidst increasingly fierce competition.

Background: Menstrual disorders that are often found in women include late menstruation, and the amount of menstrual blood. Almost 75% of adolescents experience menstruation, including irregular cycles, pain, long and heavy bleeding during menstruation. The menstrual cycle is not only influenced by biological factors such as lifestyle, hormonal disorders, nutritional status, but can also be influenced by social and environmental factors. The purpose of this study was to determine the factors that influence the menstrual cycle in adolescent girls at MAN 1 Semarang City. Method: This type of research is quantitative with a cross-sectional approach. The sample of this study amounted to 168 respondents. The respondent selection used probability sampling technique. This study used univariate, bivariate, and multivariate analysis tests. The analysis used was Spearman's rho and multiple logistic regression. Results and Conclusions: The results of this study indicate that the factors age, menarche, diet, nutritional status, and hemoglobin levels have no relationship to the menstrual cycle in female adolescents, but from the factors of stress, physical activity, fast food consumption habits, and sleep quality there is a relationship to the menstrual cycle in female adolescents at MAN 1 Semarang City where for stress level obtained p value: 0.002, physical activity with p value: 0.012, fast food consumption habits with p value: 0.035, and sleep quality with p value: 0.022. The factors that most influence the menstrual cycle in female adolescents at AN 1 Semarang City are stress levels with p value 0.002 and Od Ratio 3.365.

MotoGP is an international motorcycle racing event that attracts global attention and impacts various sectors, including the logistics sector. One important aspect of the MotoGP event is temporary imports, such as motorcycles, spare parts, and supporting equipment. This study aims to explore how to handle temporary imports using ATA Carnet in MotoGP cargo imports and identify challenges and solutions during the MotoGP cargo handling process. The method used is qualitative, with primary data obtained through observations and interviews, and secondary data from written sources, films, images, and monumental works. The data analysis techniques applied include data reduction, data presentation, and drawing conclusions, with data validity tested using triangulation techniques and sources. The study results show that handling MotoGP cargo with temporary import status differs from general cargo, as it involves customs procedures and requires special documents such as ATA Carnet, Customs Notification of Special Economic Zones (PPKEK), and Temporary Import Permits for exemption from entry fees. The handling process must be performed quickly to save time, given the limited period for temporary imports before re-export. However, Customs personnel still face challenges related to the attachment of customs seals, so the company needs to evaluate the recruitment and training processes of workers. The solution is coordination between PT. Angkasa Pura Logistics and Customs for the addition of officers.

Globally, cervical cancer was the fourth most common cancer among women, with low screening coverage contributing to the high number of cases diagnosed at an advanced stage. This study aimed to identify the factors influencing women's compliance with cervical cancer screening through IVA or Pap smear examinations. The research employed a quantitative method with a cross-sectional design. The study sample consisted of 112 respondents, selected using a simple random sampling technique. Data were analyzed using descriptive frequency tests, chi-square tests, and multiple logistic regression analysis.The results showed a significant relationship between several factors and women's compliance with early cervical cancer detection, including age (p=0.000), occupation (p=0.002), the number of children born (parity) (p=0.000), general health condition (p=0.018), distance to healthcare facilities (p=0.006), level of knowledge (p=0.021), family support (p=0.011), and the role of healthcare workers (p=0.000). However, education (p=0.104) did not show a significant relationship. Based on the multiple logistic regression analysis, the most influential factor affecting women's compliance with early cervical cancer detection was age (p=0.045).

This study aims to examine and analyze the effect of fraud hexagon to fraudulent financial statements. Fraud hexagon consists of pressure is proxied by financial stability, opportunity is proxied by ineffective monitoring, rationalization is proxied by change of auditor, capability is proxied by change of director, arrogance is proxied by frequent number of ceo’s picture and collusion is proxied by government projects. This study uses a sample of healthcare sector companies listed in Indonesia Stock Exchange (IDX) during the 2019- 2023 period with a total sample of 18 companies and uses a purposive sampling technique. The analytical tool used in this study is logistic regression. The results of this study indicate that change of director and government projects has a negative effect on the financial statement fraud, while financial stability, ineffective monitoring, change of auditor and frequent number of ceo’s picture do not effect the financial statement fraud.