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Compliance with iron and folic acid supplementation is an important factor contributing to the prevention and treatment of anemia in pregnant women to meet the nutritional needs of the fetus during pregnancy. The use of mobile health interventions (mHealth) such as SMS reminders, voice messages, videos and telephones can provide behavioral support and health education needs of pregnant women. determine the effectiveness of mHealth use on compliance with iron and folic acid supplementation (IFAS) among pregnant women. Systematic review and meta-analysis wre conducted using PRISMA guidelines and PICO models which included Population = pregnant women; Intervention = mHealth, Comparison = does not use mHealth; Outcome = compliance with iron and folic acid supplementation. Articles were collected through databases such as BMJ, Google Scholar, PubMed, Open Journal System. 6 articles met the inclusion criteria for meta-analysis and were assessed using RevMan 5.3. Meta-analysis from Kenya, India, Brazil and Indonesia showed that pregnant women who used mHealth services were 1.87 times more likely to adhere to iron and folic acid supplements compared to those who did not use mHealth and the effect was statistically significant (OR= 1.87; 95% CI= 1.10 to 3.16; p <0.001). The use of mHealth can improve compliance of pregnant women in consuming iron and folic acid supplements.

Mothers who give birth tend to experience increased anxiety which can result in psychological disorders including anxiety, depression (Denis,2021). Postpartum psychological health disorders increase the risk of postpartum blues. The underlying factors are limited access to health services, lack of social support from various parties, and concerns about the health of herself and her baby that will be ignored by the mother. Social support helps postpartum mothers deal with stressors (Adli, 2022). This research method uses Quasi experimental with two groups pretest posttest research design. The sampling technique uses purposive sampling. The sample size consists of 30 participants divided into 2 groups with 15 respondents each. The intervention group received dhikr sholawat treatment while the control group only received slow deep breathing (SDB) treatment. The intervention lasted for 14 days. The measurement of depression levels carried out was a measurement using the Edinburgh Postnatal Depression Scale (EPDS) instrument form. The results of the study P value 0.023 (> 0.05) so it is concluded that there is a difference between the effectiveness of providing Dzishol intervention and SDB intervention. Based on the comparison of the median value after the intervention in the group, it is known that the median value in the Dzishol group (score 11) is smaller than the SDB group (score 9) so it can be concluded that providing Dzishol intervention on anxiety levels is more effective than SDB intervention.

The old model of leadership style has shifted to a new model that is currently relevant to be effectively applied to lead the generation that dominates the world of work today and is entering the most productive age, namely the millennial generation and generation Z. With the young generation in Indonesia growing so rapidly with characteristics, needs and expectations that are different from the previous generation, the leadership style applied must also adjust to the rhythm and pattern of the current young generation. This research is a type of qualitative research with a literature study method or literature review. The literature study approach used in this study: the first stage is to collect literature, make comparisons from various literature sources, conduct analysis and present interpretations of the results of the analysis. From this study, it was concluded that considerations and implementations in practicing a combination of transformational leadership styles and servant leadership can be the most effective leadership style adjusted to the analysis of needs, characteristics, expectations and results of leadership practices for the millennial and Z generations in an organizational environment.

This study describes the manufacture of modified composites from recycled HDPE plastic waste and TKKS fibers. The comparison of matrix composition with TKKS fibers used is (70:30); (80:20) and (90:10) %. The mixing process of HDPE with OPEFB was carried out using the melt blending method and extruded to obtain composite pellets. Composite characterization obtained high tensile strength in HDPE composites: OPEFB ratio (70:30) % of 36.50 Mpa, while the tensile strength of HDPE: OPEFB ratio (80:20) and HDPE: OPEFB ratio (90:10) % were obtained respectively 23.50 MPa and 26.50 MPa. The results of the surface structure test with SEM showed that there was a bond between the HDPE matrix and TKKS fibers which was marked by a brittle fracture shape on the surface of the composite and the fibers were not uniformly broken. The impact test results of HDPE composite: OPEFB ratio (80:20) % have a high impact value of 0.363168 Joules. The FT-IR test results show deformation of C-H vibrations and pyranose C-O-C which are typical of OPEFB at wave numbers 1070.49 & 1151.50 cm- and intermolecular O-H bending in TKKS at wave numbers 3672.47 cm-. The TGA test results of HDPE composite: OPEFB ratio (70:30) and HDPE: TKKS (80:20) obtained degradation temperature values (Te) of 535.57ᴼC and 529.74ᴼC, respectively.

The proliferation of network information algorithms (NIAs) in contemporary society has sparked significant ethical concerns regarding their societal impact. This study investigates the influence of NIAs on social interactions, decision-making processes, and the perpetuation of structural biases through a multidisciplinary perspective (Ananny, 2023). The findings reveal that while NIAs enhance operational efficiency across various domains, they also introduce ethical challenges, including privacy infringements, systemic inequities, and algorithmic opacity, which threaten social justice. Employing Ananny’s (2023) conceptual framework—which categorizes NIAs into three dimensions: encounters, observation, and probability/temporality—this research deconstructs the operational mechanisms of these algorithms. The analysis demonstrates that NIAs not only replicate historical biases but also engender new forms of discrimination through ostensibly neutral predictive processes. For example, algorithm-driven recruitment systems may perpetuate gender disparities if their training data reflects prior discriminatory practices (Crawford, 2021). This study underscores the inextricable link between technological ethics and societal context, arguing that an overreliance on algorithmic systems risks undermining human autonomy (Zuboff, 2019). The originality of this research lies in its integration of computational ethics theory with empirical case studies, such as the deployment of NIAs in mass surveillance, where privacy is often compromised in pursuit of perceived security. To ensure academic rigor, the arguments are developed through a critical comparison with prior research (e.g., Mittelstadt et al., 2016), while avoiding redundancy in phrasing or structure. Scholars such as Floridi (2019) emphasize the necessity of algorithmic transparency in regulatory frameworks. However, critics like Noble (2018) argue that technical solutions alone are inadequate; structural reforms in data governance and corporate accountability are essential to mitigate the misuse of NIAs. In response, this study proposes an ethical framework that not only addresses technical risk mitigation but also incorporates civic participation in algorithmic decision-making processes. The ethical implications of NIAs necessitate a holistic approach that integrates principles of data justice, independent algorithmic auditing, and public digital literacy. Future research should explore inclusive models of algorithmic governance, particularly in developing nations where regulatory frameworks often lag behind technological advancements. This study concludes with a reflective inquiry: How can algorithmic accountability be ensured if developers lack transparency regarding data sources and programming logic? By addressing these questions, this research contributes to the ongoing discourse on the ethical governance of NIAs and their societal implications.

Some schools currently still use manual methods for assessment in determining the best teachers.  Giving grades to teachers is sometimes still subjective, so the risk of conflict is high due to inaccurate and non-transparent assessments, making it a problem for teachers in teaching. For this reason, an information system is needed to get accurate calculation results to get the best teacher ranking. In answering the problems found, the author developed a decision support system using the Simple Additive Weighting method to obtain accurate ranking results so that it can provide maximum decision results through faster, more accurate and precise classification and evaluation. And this research uses a prototype method as an addition to make system development easier. The results of calculations using the SAW method can determine the ranking for the best teachers. Based on a comparison between the pretest and posttest results, it was found that the conformity level was 60% for appropriate data from the 10 data used and 40% for inappropriate data.

Turmeric and tamarind herbal medicineis a medicinal herb in liquid form that is made from turmeric (Curcuma domestica Val.), and tamarind fruit (Tamarindus indica L.) produced by the home industry. Jamu Gendong does not require a license to distribute, but the quality of herbal medicine must be so that it is safe for consumption. The purpose of this study was to determine the presence or absence of microbial contamination in the form of bacteria and molds/hamirs in the preparation of Jamu Gendong Kunyit Asam circulated in Harjosari I Village, Medan Amplas Subdistrict. The samples were taken from four locations: Jalan Garu II, Garu III, Garu IV, and Garu VI. The total plate count (PCA) test was carried out by dilution of stratified samples using Lactose Broth (LB) media, for bacterial tests 10 -1 to 10-5 dilutions, and for fungal tests 10-1 to 10-3 dilutions. The diluted samples were placed in medium and incubated at 45o±1o in an incubator. The bacterial total plate count was performed using Plate Count Agar (PCA) as the medium. It was incubated at 35-37oC for 24 h, and the mold/fungal test used Potato Dekstro Agar (PDA) as media and incubated at 20-25oC for 48 h. For comparison, we used packaging for herbal medicines purchased from supermarkets. Furthermore, the number of bacteria and fungi in the colon was observed and counted. The results showed fungal contamination in the home industry at Jamu Kunyit Asam. It was a sample collected from Garu II, a sample of 86×103. The samples had many colonists that exceeded the regularity set up in BPOM RI No. 32 of 2019 and SNI 19-2879-1992.

The use of information and communication technology (ICT) in procurement services is one of the efforts to realize good governance. The electronic procurement system is present by simplifying the stages of the procurement process, the vendor search stage, price comparison from each vendor, approval, monitoring, billing, to payment, all of which are done digitally. Thus, it is hoped that procurement activities for goods/services will be carried out with good procurement principles, namely effective, efficient, transparent, open, competitive, fair, and accountable. This study aims to analyze the implementation of an electronic-based procurement system for goods/services at the Aceh Industry and Trade Service and the obstacles faced in its implementation. The research method used is descriptive qualitative with data collection through interviews, observations, and documentation. The results of the study indicate that although the electronic-based procurement system can increase the transparency and efficiency of the procurement process, its implementation still faces challenges such as limited technological infrastructure and lack of technical competence of human resources. The implications of these findings indicate the need to increase human resource capacity and strengthen ICT infrastructure to support more optimal implementation.

This research investigates the potential of integrating waste heat recovery and geothermal exchange within district heating systems as a carbon-neutral energy solution tailored to tropical urban settings. Tropical climates present unique challenges for heating, ventilation, and air conditioning (HVAC) systems, including high humidity, temperature fluctuations, and increasing energy demands, particularly for cooling. This study aims to address these challenges by proposing a hybrid district heating system that combines renewable energy sources to improve energy efficiency and reduce carbon emissions. The methodology includes thermal and hydraulic modeling, performance simulation of the hybrid system under tropical climate conditions, and emission and energy efficiency analysis. The results indicate that the hybrid system significantly reduces energy consumption and carbon emissions compared to traditional heating systems, with waste heat recovery optimizing energy use and geothermal exchange enhancing system efficiency. The comparison with conventional systems and other environmentally friendly alternatives reveals that the hybrid system offers a cost-effective, sustainable solution for tropical urban areas. The study concludes that integrating waste heat recovery and geothermal exchange is feasible and can contribute to the creation of carbon-neutral cities. Future research should focus on optimizing geothermal systems in tropical climates and exploring further integration with other renewable energy sources to enhance system performance and sustainability.

This study aims to determine the comparison of Instant and Homemade MP-ASI to meet the nutritional status of infants aged 6-12 months in the working area of Cio Maloleo Health Center. Instant MP-ASI is made based on special provisions set by the World Health Organization (WHO). The type of research used in this study is comparative research, namely comparing the mean growth value of children given Homemade MP-ASI and instant MP-ASI. The measurement scale used is a ratio scale used to determine the comparison of Instant and Homemade MP-ASI. This study uses an Independent t-test analysis. Based on the output results that have been presented, it was found that the significance value (2-tailed) is 0.348, which is greater than 0.05. Therefore, it can be concluded that there is no significant difference in the average provision of Instant and Homemade MP-ASI.  

This study aims to find out and analyze the legal basis for considering the regulation of fine sanctions of Kupang Mayor Regulation Number 7 of 2013 concerning the health of mothers, infants and children under five and to find out and assess the effectiveness of the enforcement of Kupang Mayor Regulation Number 7 of 2013 concerning the Health of Mother, Infants and Children under five through the regulation of fine sanctions. This type of research is empirical normative research using interviews and data analysis methods that are carried out qualitatively. In this study, the author uses a type of empirical normative research or legal research that examines written law from the aspects of theory, history, philosophy, comparison, structure and composition, scope and material, general explanation of article by article, formality and binding force of a law but not binding aspects of its application or implementation. The results of the study show the legal basis for considering the regulation of fine sanctions in Kupang Mayor Regulation Number 7 of 2013 concerning the health of mothers, infants and children under five, because there are still incidents of childbirth outside health facilities in the working area of the Bakunase Health Center which can be at risk of maternal and infant mortality rates. This happens because there are still pregnant women who give birth at home because of impromptu childbirth so that childbirth does not occur in health facilities but outside health facilities or at home and childbirth is still helped by birth attendants. The risk of maternal and infant mortality can still occur. The effectiveness of the enforcement of Kupang Mayor Regulation Number 7 of 2013 concerning the Health of Mothers, Infants and Children Under Five through the regulation of fine sanctions in the working area of the Bakunase Health Center has been effective for health workers. For the public, there are still many who do not know about the Regulation of the Mayor of Kupang Number 7 of 2013 concerning the Health of Mothers, Babies and Children under five so that there are still incidents of childbirth outside health facilities and childbirth assisted by shamans. Knowledge about childbirth, attitudes and family support in this study also has an important role in determining mothers to have a safe delivery. It is suggested that new regional regulations need to be socialized to the community so that existing regulations can run effectively. An obedient society is also a basic thing so that regulations can run effectively.

This study is evaluation research aimed at assessing the effectiveness of the teaching process implemented by young lecturers who have attended the Basic Instructional Skills Improvement Training (Pekerti) at Universitas Negeri Manado. A sample of 20 lecturers was selected using simple random sampling techniques. The results show that (1) The preparation of the teaching plan by the lecturers at Unima was well done, with 90% of lecturers demonstrating good to excellent performance in preparing their teaching plans. In comparison, only 10% showed less satisfactory performance. (2) The implementation of the teaching process was also well conducted, with 95% of lecturers carrying out the teaching process according to good to excellent criteria and only 5% falling into the less satisfactory category. Although the overall teaching implementation was adequate, several aspects needed improvement, namely the use of media and teaching tools, providing feedback on learning outcomes, and offering follow-up activities. These three aspects should be a primary focus in future training programs like Pekerti to enhance the quality of teaching. The findings provide important recommendations for the development of training programs and the improvement of teaching quality at higher education institutions, especially in the context of developing young lecturers' competencies.

The effect of liquidity, profitability and sales growth on dividend policy (empirical study of pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange for the 2020-2023 period). Based on the analysis of financial statement information, investors can find out the comparison between the intrinsic value of shares compared to the market price of the shares of the company concerned and on this comparison investors will be able to make decisions to buy or sell the shares concerned. The sample of this study is 12 pharmaceutical companies listed on the Indonesia Stock Exchange in 2020-2023 by taking financial data for 4 (four) years so that it will produce 48 data. Data collection using secondary data in this study is data on profitability, liquidity and sales growth affecting dividend policy in pharmaceutical sub-sector manufacturing industry companies listed on the Indonesia Stock Exchange. Data analysis to see the influence of bound variables and independent variables using multi-variable linear regression equation analysis. Test the hypothesis using the ttest statistical test, with the help of the computer program SPSS V.24.0 For windows with a signification level of 5%. Based on the results of the study: Partially, liquidity has a significant effect on dividend policy. (2) partial profitability has a significant effect on dividend policy. (3) partial profitability has a significant effect on the dividend policy for pharmaceutical companies listed on the Indonesia Stock Exchange in 2020-2023. R square of 0.0766 means Liquidity, Profitability, and Company Growth, giving a joint influence of around 76.6% on Dividend Policy, while the remaining 24.4% is influenced by other variables.

The rapid development of multimedia technology has significantly advanced 3D animation techniques, enabling the production of high-quality visual content across industries such as film, gaming, architecture, and product visualization. Rendering, as the final stage of the 3D production pipeline, plays a crucial role in determining both visual realism and production efficiency. This study compares the performance of three rendering engines—Eevee, Cycles, and Radeon ProRender—by evaluating rendering speed, visual quality, and memory efficiency in Blender. The objective is to provide practical insights for designers and digital content creators in selecting the most suitable rendering engine based on project requirements. In this research, three identical 3D scenes were rendered using each of the three rendering engines under controlled experimental conditions. The comparison was conducted based on several parameters, including rendering time, output file size, shadow accuracy, lighting effects, and overall visual realism. Quantitative measurements were used to evaluate render speed and memory consumption, while qualitative analysis assessed differences in shadow detail, global illumination behavior, reflection accuracy, and material realism. The results indicate that Eevee outperforms the other engines in terms of rendering speed, making it highly suitable for real-time applications and projects requiring fast previews. Cycles produces the highest level of visual realism due to its physically based path-tracing algorithm, although it requires longer rendering time and higher computational resources. Meanwhile, Radeon ProRender demonstrates competitive performance, particularly in shadow quality and lighting effects, offering a balanced alternative between realism and efficiency. Based on the findings, Blender remains a flexible and effective platform. The choice of rendering engine should depend on whether speed, graphic quality, or memory optimization is prioritized.

The angulation of third molars plays a crucial role in dental health and orthodontic outcomes. This review examines changes in third molar mesioangulation after orthodontic treatment, comparing cases involving first premolar extractions with non-extraction protocols. Research has shown that premolar extractions often result in significant improvements in third molar angulation, promoting easier eruption and reducing the likelihood of impactions. Conversely, non-extraction cases generally demonstrate less favorable changes, with a higher frequency of impactions and limited spontaneous correction of molar positioning. The extent and direction of these changes depend on individual factors such as the degree of crowding and the developmental stage of the third molars at the start of treatment. Premolar extraction during orthodontic procedures appears to enhance third molar angulation, potentially lowering the risk of impaction and reducing the need for surgical removal. However, some studies highlight the influence of individual anatomical variations, suggesting that premolar extraction does not consistently produce uniform angulation changes in all patients. Therefore, orthodontic treatment planning should weigh the potential advantages of premolar extractions in improving third molar alignment, especially for patients with a higher risk of molar impaction

This research discusses the comparison of expressions of love in Indonesian and Turkish in the song "Apalah Cinta" by Ayu Ting Ting, which is the result of a cross-cultural collaboration with the Turkish singer, Keremcem. This song is interesting to analyze because it reflects the cultural and linguistic differences between the two languages ​​in expressing love. This research uses a text analysis approach to examine song lyrics in both languages, and considers the cultural context that influences expressions of love. The research results show that Indonesian tends to convey love in a direct and simple way, while Turkish uses more poetic and metaphorical expressions. Even though there are differences in language structure and style of expression, they both have a similar message, namely about the beauty of love and universal feelings that transcend language and cultural boundaries. This research highlights how works of art such as songs can be an effective medium for bridging cultural differences, as well as enriching cross-cultural understanding.

This qualitative literature review examines the impact of strengthened tax enforcement on corporate cash holdings, synthesizing findings from recent empirical studies. The review highlights that enhanced tax enforcement prompts firms to adopt precautionary cash management strategies, often resulting in higher cash reserves to mitigate tax-related risks. Key factors influencing this relationship include firm size, governance quality, industry characteristics, and jurisdictional tax policies. Cross-country comparisons reveal significant variations, with institutional frameworks playing a crucial role in shaping corporate responses. While stricter enforcement ensures compliance, it may inadvertently constrain investment and operational efficiency due to increased liquidity demands. This study underscores the complexity of corporate financial decision-making under tax enforcement pressures and identifies gaps for future research, particularly in emerging markets.  

This study aims to find out: (1) The effect of the application of the DLDPF model on improving TDBI writing proficiency; (2) Differences between student learning outcomes with the DLDPF model and without DLDPF; and (3) Student obstacles in the application of the DLDPF model. The design of this study is a pseudo-experiment with a non-equivalent comparison group design scheme. The researcher used a nonprobability sampling technique in the form of total sampling. The instruments used in this study are tests and questionnaires. The test instrument is in the form of an essay test with four aspects of assessment criteria (content, organization, grammar, and vocabulary). There are also document study instruments and semi-open questionnaires with the Likert Scale. The results of the study revealed the following findings. First, the results of the paired sample test showed a sig. (2-tailed) of 0.00 < 0.05 which means that there is a significant influence of the application of the DLDPF model on the improvement of TDBI writing proficiency. Second, the results of the independent sample t-test showed a sig. (2-tailed) of 0.00 < 0.05 which means that the application of the DLDPF model has a significant impact on improving TDBI writing proficiency. In addition, the experimental class has an N-gain score of 0.59 which means it has a moderate level of improvement. The control class has an N-gain score of 0.24 which means it has a low level of improvement. In other words, it shows that there is a difference between student learning outcomes with the DLDPF model and student learning outcomes with no DLDPF model. And third, respondents showed few obstacles in the application of the DLDPF model, including: (1) Most of the respondents (70.53%) did not experience linguistic barriers; and (2) Most respondents (70%) did not experience nonlinguistic barriers.

This study aims to find out: (1) The effect of the application of the DLDPF model on improving TDBI writing proficiency; (2) Differences between student learning outcomes with the DLDPF model and without DLDPF; and (3) Student obstacles in the application of the DLDPF model. The design of this study is a pseudo-experiment with a non-equivalent comparison group design scheme. The researcher used a nonprobability sampling technique in the form of total sampling. The instruments used in this study are tests and questionnaires. The test instrument is in the form of an essay test with four aspects of assessment criteria (content, organization, grammar, and vocabulary). There are also document study instruments and semi-open questionnaires with the Likert Scale. The results of the study revealed the following findings. First, the results of the paired sample test showed a sig. (2-tailed) of 0.00 < 0.05 which means that there is a significant influence of the application of the DLDPF model on the improvement of TDBI writing proficiency. Second, the results of the independent sample t-test showed a sig. (2-tailed) of 0.00 < 0.05 which means that the application of the DLDPF model has a significant impact on improving TDBI writing proficiency. In addition, the experimental class has an N-gain score of 0.59 which means it has a moderate level of improvement. The control class has an N-gain score of 0.24 which means it has a low level of improvement. In other words, it shows that there is a difference between student learning outcomes with the DLDPF model and student learning outcomes with no DLDPF model. And third, respondents showed few obstacles in the application of the DLDPF model, including: (1) Most of the respondents (70.53%) did not experience linguistic barriers; and (2) Most respondents (70%) did not experience nonlinguistic barriers.

Digital innovation in the agricultural sector is increasingly becoming an important concern as a solution to increase agricultural efficiency and productivity. This research discusses the comparison between open source technology and commercial technology in the agricultural sector, with the aim of understanding the advantages and challenges of each in the agricultural context in Indonesia. Using a comparative descriptive approach, this research involved 30 farmers who were divided into two groups, namely farmers using open source technology and farmers using commercial technology. Data was collected through interviews, questionnaires and field observations, then analyzed descriptively to describe the use of both types of technology.The research results show that open source technology is more affordable and flexible, but is limited by a lack of technical support and integration with existing agricultural systems. Meanwhile, commercial technology offers more complete technical support and more integrated systems, but high costs are a major obstacle for small farmers. In conclusion, choosing the right technology must take into account local conditions, economic capabilities and existing technical support. This research suggests the importance of policies that support the provision of affordable technology and training accessibility for farmers to maximize the potential of digital transformation in the agricultural sector.