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The determination of scholarship recipients is a very important process in supporting students’ educational success, particularly in providing fair opportunities for high-achieving students who require financial assistance. However, in practice, this process often faces various challenges, such as assessor subjectivity and uncertainty in evaluating the applied criteria. Therefore, a decision support system is needed to assist decision-making in an objective and measurable manner. This study aims to implement the Fuzzy Tsukamoto method as a decision support system for determining scholarship eligibility. The criteria used in this study include Grade Point Average (GPA) as an indicator of academic achievement and parents’ income as an indicator of students’ economic conditions. The Fuzzy Tsukamoto method was selected because it is capable of producing crisp output values based on predefined fuzzy rules. Student data were processed through several stages, namely fuzzification to transform input data into fuzzy values, inference using the minimum operator, and defuzzification using the weighted average method. The results of the study indicate that the application of the Fuzzy Tsukamoto method is able to generate more objective, consistent, and measurable decisions. Based on the calculation results, a scholarship eligibility score of 63.9 was obtained, which falls into the eligible category. Thus, the Fuzzy Tsukamoto method can be considered an effective alternative to support fair, systematic, and transparent decision-making in determining scholarship recipients.

This study aimed to determine the effect of different bait types on the catch of larval shrimp (Macrobrachium lar) using a lift net and to determine the best bait type in the waters of Cijeruk Indah, Garut Regency, West Java. The method used in this study was an experimental method with nine replications. The independent variables in this study consisted of three types of bait: earthworms, fine rice husks, and pellets, while the dependent variable was the weight of the larval shrimp caught. The results showed that different bait types significantly affected the larval shrimp catch. Based on the total catch during the study, pellet bait yielded the highest yield, with a total weight of 2,316 grams. This was followed by fine rice husk bait with a total weight of 1,256 grams, and earthworm bait with the lowest yield, at 364 grams. Data analysis using ANOVA showed a significance value of 0.031 (p < 0.05), confirming a significant difference in catch responses between the three bait types. In conclusion, pellets are the most effective type of bait to use in the anco net fishing gear in catching larval shrimp at the research location.

The house renovation program is one of the government's efforts to improve the quality of housing for low-income people. However, the process of selecting recipients of home surgery assistance is often faced with obstacles in determining the right and fair priorities for recipients. Therefore, this study aims to design and implement a home surgery decision-making system at the Housing, Residential Areas, and Land Office using the Weight Product (WP) method. The WP method was chosen because of its ability to conduct an objective assessment of various relevant criteria, such as the condition of the house, ownership status, level of welfare, and socioeconomic needs of the recipient. This system will give weight to each criterion used to determine the priority of home surgical assistance for residents in need. In its implementation, this system is able to process data from various prospective recipients and produce an automatic and transparent order of priority recipients. The results of the evaluation show that this system can improve efficiency and accuracy in the decision-making process, as well as assist the Housing Office in implementing the house renovation program more on target. With this system, it is hoped that the home renovation program can provide greater benefits to people in need, as well as accelerate the implementation of better housing programs.

Low back pain is one of the most common complaints experienced by pregnant women, particularly in the third trimester, as a result of various physiological, hormonal, and biomechanical changes that occur during pregnancy. Changes in posture, weight gain, and shifts in the center of gravity contribute to the development of this condition. This study aims to examine various non-pharmacological interventions that can be used to reduce low back pain in pregnant women and to analyze the role of midwives in implementing these interventions in midwifery practice. The method employed is a narrative literature review synthesizing ten verified and relevant studies, particularly those discussing prenatal yoga and pregnancy exercise as forms of non-pharmacological intervention. The results indicate that the implementation of prenatal yoga and pregnancy exercise is effective in reducing the intensity of low back pain, improving muscle flexibility and strength, and providing physical and psychological relaxation for pregnant women. In addition, these interventions contribute to increased comfort and improved quality of life during pregnancy. The findings of this study support the importance of evidence-based midwifery practice and highlight the active role of midwives in providing education, assistance, and empowerment for pregnant women through the application of safe and effective non-pharmacological interventions.

Decoction is a traditional extraction method rooted in ethnobotany; however, meeting quality standards in modern pharmaceutical research remains a major challenge. This study aims to map global research trends regarding phenolic and flavonoid compounds in decoctions over the 2015–2025 period through bibliometric analysis. Data were retrieved from the Scopus database and analyzed using VOSviewer 1.6.20 software, employing the fractional counting method to ensure a more proportional weighting of keyword relationships. The results indicate a fluctuating trend that significantly increased toward the end of the period, peaking at 78 documents in 2025, with India and China emerging as the primary contributors. Network visualization and research density analysis reveal that the global research focus remains centered on antioxidant capacity (DPPH, TPC, and TFC), while decoction itself occupies a supporting position within the research map. This study concludes that decoction has not yet become a central focus in modern pharmaceutical research but serves primarily as a vehicle for presenting active compounds. There remains a significant gap between traditional decoction use and the application of advanced analytical technologies such as HPLC and antibacterial testing, representing a substantial opportunity for future research to validate the safety and efficacy of decoctions more scientifically and through standardized approaches.

The goal of continuous midwifery care is to use the SOAP documentation technique to provide comprehensive care to pregnant women up to birth control according to care standards. From May 2 - July 14, 2025, Mrs.C, G2P1A0, 32 years old received continuous midwifery care from pregnancy until get contraception methods, starting at 34 weeks of gestation. The mother complained of back pain during prenatal check-ups. The labor process went smoothly. With the assistance of a midwife, the baby was born on June 10, 2025. Birth weight: 3000 grams; length: 50 cm; head circumference: 34 cm; chest circumference: 33 cm; received Hb0 vaccine two hours after birth, eye ointment, and vitamin K shortly thereafter. The baby did not experience any problems or complaints during the first visit. Mrs. C received four visits during the postpartum period. The mother did not feel anything during the first visit up to the following visits. She continued to breastfeed exclusively, and her vital signs and fundal height returned to normal. The mother used a three-month injectable contraceptive so as not to interfere with the exclusive breastfeeding program. Mrs.C has received continuous midwifery care during pregnancy and contraceptive use, and her health is normal. It is expected that the midwife will be able to provide continuous midwifery care so that in the event of an emergency, it can be immediately identified and promptly handled.

Infant massage is an early stimulation method that plays a role in increasing infant weight gain, sleep quality, and comfort. However, limited parental resources and access to healthcare facilities prevent massage services from being optimally implemented. This community service activity aims to improve infant health through homecare-based infant massage services that are easily accessible to families. The activity was conducted on June 22, 2025, in Bulukumba Regency, targeting five infants aged 2–5 months. The activity methods included: (1) initial weight measurement, (2) education on correct massage techniques, (3) massage using olive oil for 15–20 minutes, and (4) monitoring infant sleep patterns and comfort. Repeat measurements were conducted after the intervention. Results showed post-intervention weight gain in all infants, improved sleep patterns (infants fell asleep more easily and slept longer), and increased appetite. Mothers also demonstrated improved self-massage skills. In conclusion, homecare-based infant massage has been proven effective in improving infant comfort, sleep patterns, and weight gain. This program is worthy of continuation and expansion to support community midwifery services

This study aims to improve the quality of gallon water products and strengthen the competitiveness of CV. Anugerah Gemilang through the implementation of Quality Function Deployment (QFD) using the House of Quality (HoQ). The QFD approach is employed to translate the Voice of Customer (VoC) into technical product characteristics as well as service quality attributes that influence customer satisfaction. The research method applied is quantitative-descriptive with the support of qualitative data. Quantitative data were collected through questionnaires distributed to customers to measure the importance and satisfaction levels regarding product and service attributes, while qualitative data were obtained through in-depth interviews to reinforce and validate the questionnaire results. Subsequently, the VoC data were analyzed using the HoQ matrix to determine quality improvement priorities based on customer importance weights. This study is expected to produce strategic recommendations in the form of prioritized product and service quality enhancements focused on customer satisfaction, thereby supporting the sustainable improvement of the company’s competitiveness.

This study aims to improve the quality of gallon water products and strengthen the competitiveness of CV. Anugerah Gemilang through the implementation of Quality Function Deployment (QFD) using the House of Quality (HoQ). The QFD approach is employed to translate the Voice of Customer (VoC) into technical product characteristics as well as service quality attributes that influence customer satisfaction. The research method applied is quantitative-descriptive with the support of qualitative data. Quantitative data were collected through questionnaires distributed to customers to measure the importance and satisfaction levels regarding product and service attributes, while qualitative data were obtained through in-depth interviews to reinforce and validate the questionnaire results. Subsequently, the VoC data were analyzed using the HoQ matrix to determine quality improvement priorities based on customer importance weights. This study is expected to produce strategic recommendations in the form of prioritized product and service quality enhancements focused on customer satisfaction, thereby supporting the sustainable improvement of the company’s competitiveness.

Beef demand in Indonesia continues to increase, particularly during religious holidays. Bali cattle, one of the main sources of beef, face a serious threat from Jembrana disease, a viral infection that compromises the immune system and causes significant economic losses. This study aimed to determine the correlation between spleen weight, body temperature, and cycle threshold (Ct) values in Bali cattle following Jembrana virus inoculation. A correlational method was applied to eight female Bali cattle injected with Jembrana virus inoculum. Physiological changes in body temperature were monitored, followed by necropsy to assess spleen weight. In addition, Real-Time Polymerase Chain Reaction (RT-PCR) was performed before and after inoculation to detect viral presence and determine Ct values. Data were analyzed using SPSS with Pearson correlation tests. The results revealed a very strong positive correlation between spleen weight and body temperature, while a very strong negative correlation was observed between spleen weight and Ct values. These findings indicate that Jembrana virus inoculation leads to increased body temperature and splenic enlargement in Bali cattle, accompanied by a decrease in Ct values, reflecting higher viral loads. Therefore, the administration of antipyretics, anti-inflammatory drugs, analgesics, vitamins, and antibiotics prior to vaccination is recommended to reduce the risk of hyperthermia, splenic swelling, decreased Ct values, and secondary infections.

The Indonesia Smart Program (Program Indonesia Pintar/PIP) is a government initiative aimed at ensuring equal access to education for students from underprivileged families, including those at the junior high school (SMP) level. However, at the school level, the management of PIP recipient data still faces several challenges, particularly in data searching and utilization, due to the increasing volume of data and the use of simple or manual search methods. These conditions can lead to delays in obtaining information and reduce the accuracy of decision-making. Therefore, an effective information retrieval system is needed to manage and search PIP recipient data efficiently. This study aims to design and develop an Information Retrieval System for PIP recipient data at the junior high school level using the Term Frequency–Inverse Document Frequency (TF-IDF) method. The TF-IDF method is applied to assign weights to terms in each document, enabling the system to identify and rank documents based on their relevance to user queries. The test results show that the system is able to measure document relevance accurately, where documents D3 and D4 obtain the highest similarity value of 0.099586089 and are classified as highly relevant, while other documents show lower similarity values down to zero. These results are also supported by graphical visualization, which helps users compare relevance levels more clearly. Thus, the implementation of the TF-IDF method has proven to be effective in supporting accurate, efficient, and systematic searching and management of PIP recipient data at the junior high school level.

Educator certificates are official documents that play a crucial role for teachers, as they serve as legal proof of professional competence and are required for various administrative purposes, such as professional allowance applications, promotion, transfer, and institutional accreditation. Along with the increasing number of educators in Indonesia, the volume of educator certificate data managed by educational institutions has also grown significantly. However, certificate management is still largely conducted in a conventional manner, functioning merely as digital or physical archives without an effective search mechanism, resulting in inefficiencies and difficulties in retrieving relevant documents. Therefore, an information retrieval approach is needed to support fast and accurate document searching. This study aims to analyze and implement an information retrieval system for educator certificates using the Cosine Similarity method. The research data consist of educator certificate documents, including professional educator certificates, training certificates, and competency certificates. The retrieval process involves text preprocessing, term weighting using TF-IDF, and similarity measurement using Cosine Similarity. The results show that document d1 (Professional Mathematics Educator Certificate) has the highest similarity value to the query “educator certificate,” as it contains all query terms with relatively high TF-IDF weights. Document d3 ranks second due to partial term similarity, while document d2 has the lowest similarity value because it shares only one common term with the query. These findings indicate that the Cosine Similarity method is effective in ranking educator certificate documents based on their content relevance in an objective and measurable manner. The proposed system can improve the efficiency and accuracy of educator certificate document management and retrieval in educational institutions.

Composite materials have the potential to be used as an alternative material for e-scooter frames due to their low weight and good mechanical strength. The mechanical properties of composite materials are strongly influenced by their constituent materials, particularly the fiber fraction. This study aims to analyze the effect of fiberglass composition variations on the tensile strength of composite materials as an alternative for e-scooter frames. The results show that increasing the fiberglass content leads to an improvement in the tensile strength of the composite material. The tensile strength increased by 51.52% when the fiberglass content was increased from 40% to 50%, while an increase of 19.5% was observed from 50% to 60%, indicating a decreasing rate of improvement. At higher fiberglass compositions, voids were observed due to imperfections in the manufacturing process, which affected the bonding between the fiber and the resin. In addition, increasing the fiberglass content resulted in a reduction in tensile strain from 1.1% at 40% fiberglass to 0.55% at 60% fiberglass, indicating that the material became stiffer and more brittle. These results indicate a trade-off between increased tensile strength and reduced ductility of the composite material.

Composite materials have the potential to be used as an alternative material for e-scooter frames due to their low weight and good mechanical strength. The mechanical properties of composite materials are strongly influenced by their constituent materials, particularly the fiber fraction. This study aims to analyze the effect of fiberglass composition variations on the tensile strength of composite materials as an alternative for e-scooter frames. The results show that increasing the fiberglass content leads to an improvement in the tensile strength of the composite material. The tensile strength increased by 51.52% when the fiberglass content was increased from 40% to 50%, while an increase of 19.5% was observed from 50% to 60%, indicating a decreasing rate of improvement. At higher fiberglass compositions, voids were observed due to imperfections in the manufacturing process, which affected the bonding between the fiber and the resin. In addition, increasing the fiberglass content resulted in a reduction in tensile strain from 1.1% at 40% fiberglass to 0.55% at 60% fiberglass, indicating that the material became stiffer and more brittle. These results indicate a trade-off between increased tensile strength and reduced ductility of the composite material.

Leaf springs serve as vehicle weight supports and vibration dampers from uneven roads. Reducing vehicle weight can support fuel consumption reduction. The use of composite materials allows for a reduction in leaf spring weight without reducing load capacity and stiffness. The purpose of this study was to find the composition of composite leaf springs with a polyurethane matrix that were resistant to tensile and flexural tests using e-glass, epoxy, and polyurethane materials. This study used an experimental method, in which specimens were tested using a tensile and flexural testing machine. The variations included polyurethane matrices of 10%, 20%, and 30%. The data was statistically analyzed using Excel to determine the significant effect of the variables. The results showed the effect of polyurethane variation on the composite. The tensile test showed that the greatest tensile stress was on the 30% polyurethane specimen at 1.574 N/mm² and the smallest was on the 10% specimen at 7.007 N/mm². In the flexural test, the greatest effect on flexural strength was observed in the 30% specimen at 14.36 MPa and the smallest in the 10% specimen at 25.82 MPa. Without the addition of polyurethane, the tensile stress was 39.678 N/mm² and the flexural strength was 157.09 MPa. Conclusion: The addition of polyurethane reduces the mechanical strength of composite leaf spring material without polyurethane addition.

Leaf springs serve as vehicle weight supports and vibration dampers from uneven roads. Reducing vehicle weight can support fuel consumption reduction. The use of composite materials allows for a reduction in leaf spring weight without reducing load capacity and stiffness. The purpose of this study was to find the composition of composite leaf springs with a polyurethane matrix that were resistant to tensile and flexural tests using e-glass, epoxy, and polyurethane materials. This study used an experimental method, in which specimens were tested using a tensile and flexural testing machine. The variations included polyurethane matrices of 10%, 20%, and 30%. The data was statistically analyzed using Excel to determine the significant effect of the variables. The results showed the effect of polyurethane variation on the composite. The tensile test showed that the greatest tensile stress was on the 30% polyurethane specimen at 1.574 N/mm² and the smallest was on the 10% specimen at 7.007 N/mm². In the flexural test, the greatest effect on flexural strength was observed in the 30% specimen at 14.36 MPa and the smallest in the 10% specimen at 25.82 MPa. Without the addition of polyurethane, the tensile stress was 39.678 N/mm² and the flexural strength was 157.09 MPa. Conclusion: The addition of polyurethane reduces the mechanical strength of composite leaf spring material without polyurethane addition.

This community service activity aimed to enhance the security and efficiency of halal certification mentoring services at the Aurum First Sunrise community in Surakarta. The main challenge faced by the partner was the risk of sensitive SME data leakage such as ID cards, recipes, and supply chain information, due to the lack of an adequate document security mechanism. The core solution implemented was Technology Implementation in the form of a Cryptographically-based Document Management Information sistem (utilizing the Light Weight PDAC algorithm) integrated with digital access rights management and user Training. Evaluation demonstrated successful implementation, evidenced by an increase in the average satisfaction of SMEs regarding data security to 97.8%, confirming enhanced trust. Furthermore, digitalization successfully improved the efficiency of the mentoring team, reflected by a satisfaction score of 85.0%. In conclusion, this service successfully transformed the partner into a secure, efficient, and credible mentoring institution, significantly supporting SMEs in accessing halal certification.

Traditional association rule analysis is effective at uncovering co-purchase patterns but fails to provide a global structural view of the market, which often results in fragmented and isolated insights. This study proposes a hybrid framework that integrates the Apriori algorithm with a Minimum Spanning Tree (MST) in order to validate and contextualize association rules within a single structural backbone. Transaction data from a retail store are transformed into a weighted, undirected product graph using an inverse-support function, and an MST is then extracted to represent the market backbone, while frequent itemsets and strong rules are obtained using Apriori. Experimental results on 236 multi-item transactions show that the MST backbone comprises 10 products and 9 fundamental links, with 66.67% of these links being confirmed by strong association rules, indicating a substantial coherence between statistical and structural evidence. The proposed model identifies 41 Apriori patterns that can be embedded in the MST and ranks them using a new metric, Structural Distance, which enables the categorization of Core Patterns, Bridge Patterns, and Complex Patterns according to their structural tightness. This hybrid perspective distinguishes dense, strategically meaningful bundles from anomalous but frequent combinations that are structurally peripheral, thereby offering a more holistic and actionable alternative to conventional Market Basket Analysis. The validated framework can support various applications, including store layout optimization, cross-selling strategies, and the design of path-based recommender systems, and it opens avenues for future extensions based on dynamic graphs and Graph Neural Networks.

A high-risk pregnancy is a pregnancy that can affect both the pregnancy, delivery, newborn, and postpartum period. There are several high-risk pregnancies, including pregnant women who are <145cm tall, have low birth weight, are too young, and give birth too closely spaced, or what is known as the 4T. Prevention is carried out by conducting comprehensive supervision, this is a way to reduce MMR and IMR. The Central Java government has developed the One Student One Client (OSOC) program, it is hoped that the implementation of this program can reduce MMR in Central Java. MMR according to WHO in 2023 reached 189/100,000 live births, MMR based on ASEAN reached 235/100,000 live births, MMR according to the Indonesian Ministry of Health reached 205/100,000 live births, MMR in Central Java in 2023 has reached 485/100,000 live births, MMR in Brebes in 2023 54/100,000 live births and at the Bantarkawung Community Health Center MMR in 2023 amounted to 2 cases of maternal death. In this study, researchers used Varney and SOAP to document midwifery care comprehensively, with direct qualitative descriptive approach methods such as observation, interviews, and documentation.

Stunting remains a major chronic nutritional problem in Indonesia, including Aceh, and has serious impacts on children’s physical growth and cognitive development. Prevention efforts require appropriate, practical, and sustainable nutritional interventions, including the use of local foods such as pumpkin, which is rich in beta-carotene, vitamin A, carbohydrates, and fiber, and can be combined with animal and plant protein sources. This study aimed to evaluate the effectiveness of an instant pumpkin-based porridge in improving the weight and height of children aged 6–24 months who are at risk of stunting in the Gunung Meriah Health Center area. The study used a quasi-experimental design with a nonequivalent control group involving 41 children divided into intervention and control groups. The intervention group received the instant porridge for 21 days. Data analyzed using paired t-tests and independent t-tests showed significant improvements in the intervention group’s weight and height (p<0.05). The pumpkin-based instant porridge proved effective as a local food–based nutritional intervention and has the potential to be integrated into supplementary feeding programs and regional nutrition policies with broader coverage and longer duration..