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This study analyzes the comparison of peer-to-peer (P2P) lending contract law in the perspective of positive law and Islamic law. Major problems in the industry include the risk of default, contract defects, and a lack of transparency. The research method used is literature research. The results show that positive laws provide a framework for consumer protection, but are often inadequate in protecting vulnerable parties. On the other hand, Islamic law emphasizes justice and the prohibition of usury, although the practice in the field is not yet fully appropriate. The study recommends collaboration between regulators and service providers to create a fair and law-abiding system. This is expected to contribute to the development of P2P lending policies and practices that are more sustainable and in accordance with sharia principles.

This research aims to analyze the performance comparison of several AI Image Generator platforms in generating images based on text prompts, considering the influence of internet speed on rendering time. The platforms tested include Blackbox AI, Craiyon AI, Dreamina AI, and Freepik AI. Testing was conducted using two types of internet providers, namely XL and Indihome, to evaluate differences in rendering time and the accuracy of the generated images. The results indicate that internet speed significantly affects rendering time, with Freepik AI showing the greatest impact. Additionally, the accuracy of the generated images varies depending on the platform's ability to translate text prompts into images. These findings provide insights into the factors influencing the performance of AI Image Generators, particularly in the context of internet speed and output accuracy.

Village financial management is one of the key indicators in realizing effective village governance. However, in many villages, including Sidoan Timur Village, Sidoan District, Parigi Moutong Regency, Central Sulawesi, the practice of financial transparency and accountability still faces various obstacles. This study aims to assess the application of the principles of transparency and accountability in the financial management of Sidoan Timur Village, Sidoan District, Parigi Moutong Regency, Central Sulawesi, by referring to the perspective of village governance. The approach used is a qualitative method through case studies. Data were obtained through in-depth interviews, participatory observations, and review of official village documentation. Data analysis was carried out with the stages of data reduction, data presentation, and inductive conclusion drawing. The research findings reveal that village financial management has not fully implemented the principle of transparency, because financial information is not routinely published and administrative accountability is still formal, without active involvement from the community. In addition, the implementation of financial governance regulations has not been consistent at the operational level. In conclusion, the practice of transparency and accountability in Sidoan Timur Village needs to be strengthened by increasing the capacity of village officials, optimizing public information media, and empowering community participation. Further research is suggested to examine the comparison between several villages with a quantitative approach in order to obtain a broader picture of village financial management from a governance perspective.  

This research deals with a comparison of Kriging's method in predicting ordinary and fuzzy data in order to know the best method for future studies. Ordinary data was used in the field of depth of groundwater wells for 37 locations in Kirkuk city, and these data were fuzzy into fuzzy numbers of the trigonometric type that have a function of belonging, Then the centroid of each fuzzy number was found for the purpose of facilitating the calculations. An unknown point was predicted for both the ordinary and fuzzy data. After comparing the results with a standard of least variance, it was found that the fuzzy data had better results than the ordinary data.

This research examines the competitive advantages of scarf brands in Indonesia by comparing three cases: Ash Scarf, Brand Botton Scarf, and Umama. The study analyzes how each brand employs differentiation and digitalization strategies to achieve a competitive edge in the market. By applying Porter's generic strategies framework and the resource-based view, this research identifies the unique value propositions, target market focus, and digital marketing effectiveness of each brand. The findings reveal distinct approaches to competitive advantage, highlighting the importance of brand positioning, product innovation, and customer engagement in the online and offline landscape.

Dry noodles are noodles that are marketed in dry form. This noodle, which is also called egg noodle, has a low water content, only about 13%. Made from eggs and wheat flour, Dried noodles are processed by drying in an oven or drying in the sun to dry before being packaged and marketed. Tempeh has the potential to be used as raw material for noodles because it has a high protein content. Tempe is first processed into flour so that it becomes tempeh flour which will be used for making dry noodles. In addition, local raw materials such as mocaf flour and cow's milk are rich in nutrients such as protein content which can meet the protein needs in the body. The purpose of this study was to determine the chemical and organoleptic characteristics of dry noodles from tempeh and mocaf flour with the addition of cow's milk and to determine which noodle formulations produced high protein content. The experimental design was a completely randomized design (CRD) with the first factor being the ratio of tempe flour and mocaf flour (70 : 30, 60 : 40 and 50 : 50) with the addition of cow's milk (50%, 75% and 100%). The results of this study indicate that the dry noodle formulation with the addition of cow's milk is the best based on chemical and organoleptic values is a comparison tempeh flour 50 and mocaf 50 with a percentage of 100% cow's milk. The results obtained were a moisture content of 4.76%, an ash content of 2.63%, a protein content of 21.79%, a carbohydrate content of 70.81%, a fat content of 14.63% and a crude fiber content of 19.14%. Based on the organoleptic value, the ratio of tempe flour is 70 and mocaf 30 with a percentage of 75% cow's milk. The results obtained were 2.80% color, 2.80% aroma, and 2.99% elasticity. This research achieved the desired goal, namely to produce high protein noodles.

When someone enters old age, symptoms such as senility or difficulty remembering new information often appear. This condition is known as dementia, a syndrome characterized by decreased cognitive function, behavioral changes, memory impairment, disorientation, and difficulty communicating and making decisions. This community service program aims to provide information and understanding about how to handle dementia that can be done at home. Activities are carried out through a counseling method consisting of a pre-test, education, and post-test, using leaflets and questionnaires containing questions to measure the level of understanding of participants. The results of the counseling showed an increase in participant knowledge, as seen from the comparison of the graph between the pre-test and post-test results. Education accompanied by brain gymnastics practices has been shown to have a positive impact on increasing participants' understanding of dementia and how to handle it. It is hoped that this counseling will continue to provide benefits to participants and can be applied in everyday life.

A tourist attraction needs to measure the level of tourist satisfaction as feedback for the development of tourist attractions. The method that can be used is the Fuzzy Inference System Mamdani method. This method has a flexible approach in processing an input. The output is the average level of tourist satisfaction. The average level of tourist satisfaction of Green Gumuk Candi after the inference process is 73.1%. This result may differ from other Fuzzy Inference methods, so it still requires further research using the Sugeno or Tsukamoto method as a comparison.

Mastering kanji characters is a crucial aspect of learning the Japanese language, yet many beginner learners face challenges in memorizing their forms, meanings, and readings. To support independent learning, digital applications such as Japanese Kanji Study offer practical and flexible alternatives. This study aims to analyze the features of the Japanese Kanji Study application and evaluate its effectiveness as a learning medium. The research adopts an exploratory qualitative approach, involving a seven-day direct investigation of the application’s core features, along with user reflection and comparison with two similar applications. The results indicate that Japanese Kanji Study provides a user-friendly interface, content organized by JLPT levels, and features that facilitate understanding of meanings, readings, and stroke order of kanji. Over the exploration period, the author successfully learned 35 N5-level kanji characters. User reflections show that the application is effective in improving kanji comprehension, although further development is needed in terms of interactivity and learning motivation. In conclusion, Japanese Kanji Study serves as a valuable self-learning tool for kanji, particularly for beginner learners.  

PLN as an electricity provider that serves all regions in Indonesia certainly always wants to provide the best service to its consumers, including PT. PLN Persero UP3 Gresik. Along with the increase in consumers, the company continues to develop distribution lines, however, because the addition of more and more lines makes the distribution cables longer and the load becomes greater, resulting in voltage drops and power factors decreasing in several feeders, including in the feeder network. LOWAYU, causing poor power quality.This research aims to find and obtain the magnitude of the power flow which includes active power, reactive power, apparent power and the magnitude of the power losses (losses) contained in the LOWAYU feeder network, the magnitude of the voltage and voltage drop on each bus on the network. LOWAYU feeder using the backward-forward method. And determine the value of reactive power required for the capacitor on each bus that experiences a voltage drop. Then a comparison will be made between the results of manual calculations using the backward-forward method and the results of simulation data using ETAP Power Station 19.0.1 software.From this research, it can be seen that the safe limit for the voltage drop value is still below 5% or above 5%, so it is necessary to add capacitor banks to improve the power factor and reduce the voltage drop value on distribution network buses that experience voltage drops.

Fertilization is one of the important activities in plant cultivation because it plays a role in increasing productivity by maintaining soil fertility. This experiment aimed to test the effectiveness of NPK fertilizer (20-51-13) on the growth and production of cabbage plants and its agronomic effectiveness. The experimental design used was a randomized block design. The treatments tested: without application of the tested fertilizer (P0), application of inorganic fertilizer comparison (2 kg/ha/application) (P1), and 5 levels of NPK fertilizer (20-51-13) tested, namely: 1.0, 1.5, 2.0, 2.5, and 3.0 kg/ha/application. The recommended doses of urea, SP-36, and KCl fertilizers were  200, 100, and 100 kg/ha, respectively. The results showed that the application of NPK fertilizer (20-51-13) can increase the growth of cabbage plants as indicated by the variables of plant height and number of cabbage leaves compared to the control treatment. In addition, the application of NPK fertilizer (20-51-13) increased the yield components of cabbage plants compared to the control treatment. The treatment of 0.75 doses of NPK fertilizer (20-51-13) was agronomically effective because it produced the highest relative agronomic effectiveness value of 145%, which means it can increase yields by 1.45 times. The recommended dose for cabbage plants is 1.5 kg/ha/application of NPK fertilizer (20-51-13) applied 5 times at 2, 3, 4, 5, and 6 WAP.

Anemia is one of the nutritional problems that can occur in women of childbearing age (WUS). One effort that can be made is to consume foods that are sources of iron, such as sorghum and moringa leaves. Utilization that can be done by substituting sorghum flour and adding moringa leaves. This study aims to determine the effect of the acceptability and nutritional content of cat's tongue cookies substituted with sorghum flour and the addition of moringa leaves as an alternative snack for women of childbearing age with anemia. This type of research is a pure experimental study with the Completely Randomized Design (CRD) method, the comparison used is sorghum flour 25%, 50%, 75% and moringa leaves 10%, 15%. Data collection using an acceptability test questionnaire conducted by 30 panelists. Data analysis using the Kruskal Wallis test and the Mann Whitney follow-up test. The results showed that this cat's tongue cookie affected the acceptability including color, shape, aroma, texture, and taste. This study resulted in the selected formula being F1 with 25% substitution of sorghum flour and 10% addition of moringa leaves. The best nutritional content of cat tongue cake per 100 g consists of 12.50% protein, 2.37 mg iron, and 9.37 mg vitamin C. This selected formula cat tongue cake can be used as an alternative snack for women of childbearing age (WUS) with anemia.

Credit score evaluation for functional positions is a critical component in the career development of employees at the Financial Supervisory Agency (BPK) in Jakarta. However, this evaluation process often encounters challenges related to objectivity, consistency, and transparency due to the combination of qualitative and quantitative criteria. This study aims to apply the Analytical Hierarchy Process (AHP) as a decision support tool in the credit score assessment system. AHP is chosen for its ability to break down complex problems into a hierarchical structure and to assign priority weights through pairwise comparisons among criteria. This method is used to determine the priority weights of each evaluation component, including both main and supporting elements, leading to more structured and accountable decisions. The findings indicate that the implementation of AHP enhances the accuracy and objectivity of the credit score evaluation process for functional positions at BPK. Therefore, this approach can serve as the foundation for developing a more transparent and efficient technology-based assessment system.

Nonlinear eigenvalue problems (NEPs) pose significant challenges in mathematical physics and other computational applications due to their nonlinear nature, which makes analytical solutions difficult to obtain. NEPs are encountered in various scientific and engineering fields, including signal processing, electronic structure calculations, and structural optimization. This study aims to explore the application of adaptive algorithms in solving nonlinear eigenvalue problems, with a primary focus on improving accuracy and computational efficiency. The proposed method combines an iterative solver with adaptive step-size adjustment, where the step size is dynamically adjusted during the iteration based on error estimates calculated at each step. This approach enables faster convergence and significant reductions in computational time without compromising accuracy. In experiments conducted on large-scale problems, the adaptive algorithm reduced computational time by 40% faster compared to fixed-step iterative methods. The comparison between the adaptive algorithm and traditional methods showed that the adaptive algorithm is not only more efficient but also more robust when dealing with high-complexity problems. Additionally, the adaptive algorithm provides more accurate error estimates, allowing better error control throughout the iteration process. Overall, this study concludes that adaptive algorithms offer a more effective and efficient solution for complex nonlinear eigenvalue problems and can be adapted to various types of problems in scientific and engineering applications. Further research could focus on optimizing the implementation of this algorithm for larger and more complex scales.

The use of log wood as raw material for furniture and construction industry requires an optimal approach in the dimensions of management and production efficiency to increase economic value. This study aims to analyze the relationship between log wood dimensions (length, width, diameter) with the value of production results based on the percentage of efficiency (60%, 50%, 40%, and 30%). The data used are the results of observations of log wood dimensions from several types (unnamed and with codes: Piton, DL, UP, UD) along with the basic price value of the log. Calculations are carried out to determine the economic value of log wood based on the production efficiency scenario. The results of the study indicate that increasing production efficiency significantly affects the economic value obtained, with the UD log type providing the highest value at all levels of efficiency. This study provides recommendations for wood production optimization strategies based on comparisons of dimensions and efficiency as a basis for decision making in the wood resource-based industry.

Wireless communication, in its infrastructure nature, faces many challenges such as fading, data coverage, and interference issues. Therefore, High-Fidelity or (Li-Fi) is utilized due to its ability to naturally provide high-density wireless data coverage in closure’s particularly helpful for application(s) in some areas while the radio interference conditions are concern. This article illustrates an advanced Li-Fi approach performing high-speed data transmission between two Personal Computers (PCs) utilizing the Arduino Nano-based technique. In the experimental phase, data is mainly used to be transmitted over red laser diode (630 nm) through (30 cm) in distance, a distance of 30 cm, achieving a high peak speed reach to about (512Bps). The proposed approach performance is computed by evaluating the most important and related metrics like Signal-to-Noise Ratio (SNR), Bit-Error-Rate (BER), and influence of throughput on input data over various light circumstance. The proposed approach mainly utilizes a keypad as a user input and two related detection models for both a solar cell and a photodetector in order to make a powerful comparison in terms of performance. the results showed that when the photodetector applies a higher-detection efficiency (via BER enhancement which reaches to 20% over solar-cell), the solar-cell clarify outstanding power and cost-activity. The mentioned findings are propped by elaborated statistical-analyses and MATLAB simulation to design, simulate and visualize the validate functionalities of the robustness and scalability properties of the proposed Li-Fi approach.

The purpose of this study is to determine the effect of self-confidence on student learning motivation at Junior High School 1 Suwawa Tengah. This study uses a quantitative approach, with a Survey research method. The data used are primary data obtained from distributing questionnaires to students at Junior High School 1 Suwawa Tengah. The number of samples drawn in this study was 51 respondents. The data analysis technique used simple linear regression with the help of the SPSS program. The results of the analysis, the study showed that there was a positive and significant influence between self-confidence and student learning motivation at Junior High School 1 Suwawa Tengah. The comparison of the t-count values obtained is still greater than the t-table value so that Ho is rejected. Thus, at a confidence level of 95%, it can be concluded that there is a positive and significant influence of self-confidence on learning motivation. The coefficient of determination value of the previously obtained regression model is 0.170, this value means that 17% of the variation in learning motivation is explained by the self-confidence of a student.

Myogenic low back pain is a complaint of pain in the lower back area caused by disorders of muscle tissue or tendons, without nerve involvement. This complaint is often experienced by individuals who perform repetitive physical activities or maintain a hunched sitting position for long periods, resulting in muscle fatigue and discomfort. This study aims to analyze the effectiveness of McKenzie Exercise and infrared therapy in reducing myogenic low back pain. The study design used a one-group pre- and post-test with control design, with a total of 20 employees in the rehabilitation unit of RSU Medika Tanjung Mulia who had met the inclusion criteria. Subjects were randomly divided into two groups: Group I received McKenzie Exercise and infrared therapy interventions along with standard hospital therapy, while Group II only received standard hospital therapy. Pain levels were measured using a Numeric Rating Scale before and after the intervention. The results of statistical analysis showed a significant reduction in pain in both groups after the intervention, with a p value = 0.000 (p < 0.05). In addition, the results of the comparison between groups showed that the group receiving McKenzie Exercise and infrared therapy experienced a greater reduction in pain than the control group. This suggests that the combination of McKenzie Exercise and infrared therapy is more effective in reducing myogenic low back pain. This study recommends the use of both interventions as part of the physiotherapy management of low back pain caused by muscle disorders.  

Cyber bullying or bullying carried out online or cyberspace has become a serious and worrying issue in today's digital era, with a wide impact on victims and perpetrators. This phenomenon not only causes psychological and social disturbances for victims, but also poses serious challenges in law enforcement. This study aims to analyze and compare the legal implications of cyber bullying  in several jurisdictions, especially Indonesia, the United Kingdom, the United States, and South Korea. Through a normative juridical approach and comparative or comparative legal methods, this study analyzes the regulatory framework applicable in each country, including legal definitions, criminal sanctions, and legal protection for victims. The results of the study show that there are significant differences in the handling  of cyber bullying laws between countries, both in terms of the formulation of legal norms and enforcement mechanisms. This study concludes that the harmonization of cyber law policies internationally is an urgent need to create more effective and comprehensive protection for victims of digital violence, especially among adolescents and children.

The 2013-2031 Karanganyar Regency RTRW directs Gondangrejo District as an area designated for medium to large-scale industries, although on the other hand there are rural settlement areas in existing conditions. The industry in Gondangrejo District is growing and developing which is agglomerated along the Solo-Purwodadi Road. The development of this agglomeration has an impact on the increasing density of rural settlements around the industry. Therefore, this study aims to measure changes in the density of residential buildings affected by the development of industrial agglomeration in Gondangrejo District, Karanganyar Regency between 2004-2024. The research method used is quantitative with regional relative comparison analysis techniques, average nearset neighbors, and kernel density analysis. The results of the study show that industrial agglomeration in Gondangrejo District has experienced low-level development. The density of residential buildings has also increased to 25 units/ha. The growth of residential buildings, boarding houses, shops/stalls, and parking facilities around the industry is a direct impact of the development of industrial agglomeration on the density of residential buildings.