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Indonesia ranks 10th in Southeast Asia for stunting cases (short children). Following President Joko Widodo’s statement at the National Working Meeting of the National Population and Family Planning Agency (BKKBN) on Wednesday, January 25, 2023, this community service aims to improve the nutritional value of the community in RT.15, Ujung Lingkas Village, Tarakan, on September 27, 2024, through a healthy chicken porridge distribution program. This program is based on the problem of insufficient balanced nutrition in the area, which impacts the health and well-being of the community. The program involves nutrition education, training on making healthy chicken porridge, and regular distribution of chicken porridge to the community. Data collection methods used observation, interviews, and documentation. The program results show an increase in community knowledge and awareness of balanced nutrition, as well as an increase in nutritional intake through the consumption of healthy chicken porridge. This program is expected to be a model for similar community service programs in other areas, and to encourage the creation of a healthy and prosperous community.

How Cola nitida could affect the urine calcium and magnesium concentrations of the male human subjects in comparison to the female counterpart were focused on. Sixty subjects (males=30 and females=30) and unaccustomed to Cola nut eating were involved. Their age range was between 18 and 28years. Three (3) sub-categories were involved: underweight=10, normal weight=10 and overweight=10. Hypertensive, renal and any subject with cardio-pulmonary-related conditions were exempted from the study. The normal chamber temperature, (RT=270C and RH=70%), the raised chamber temperature (RT =370C and RH=90%) were studied. Sequel to the foregoing, the subjects sat quietly in the sweat chamber for 20 minutes. The third experimental condition was the normal chamber temperature with exercise (RT=270C and RH=70%) and the subjects rode a bicycle ergometer at 750J/minute for 20 minutes. All of these happened prior to the consumption Cola nitida. Ahead of the experimentation in the sweat chamber, the subject urinated in a container in order for the timed urine volume to be measured and urine was again taken at the end of the experimentation that was also measured in order to obtain the actual urine volume within the given period. Thereafter, the urinary flow rate was calculated. The urine calcium and magnesium concentrations were likewise estimated. 0.5g/kg body weight of Cola nitida was given to each subject and chewed as a bolus. After swallowing, 50ml of deionized water was given to each subject to drink and the subject was allowed to rest for 90 minutes before being brought into the sweat chamber. The results showed that in respect to urine Ca ions concentration, no significant change was observed in a comparison between the males and females after the ingestion of Cola nitida under normal, raised temperature and exercise experimental conditions. As regards urine Mg ions concentration, no significant change was observed in a comparison between the males and females after the ingestion of Cola nitida under normal and exercise experimental conditions. However, there was a significant increase in Mg ions concentration in the female UW and NW subjects compared to the males after the consumption of Cola nitida under raised temperature condition.

The research was aimed to evaluate the effect of addition Sardinella lemuru oil (SLO) and sprouted mung bean (SMB) supplementation on performance broiler and IOFC. The material used in this research were 160 unsexed Cobb Strain DOC broiler. The method used Completely Randomized Design with 4 treatments and 5 replications, and the experiment tested T0 (basal feed) as a control, T1(basal feed + SMB 0.5% + SLO 1.5%), T2 (basal feed +SMB 0.5% + SLO 3%), T3 (basal feed + SMB 0.5% + SLO 4.5%) as feed given. Variable measured were feed consumption, body weight gain, feed conversion, index of production, and income over feed cost. The data collected and analysed using Variance analysis  and the Duncan Multiple Range Test further tested any significant difference. The results were showed that the addition of Sardinella lemuru oil 4.5% and sprouted mung bean 0.5% highly significant (P<0.01) affected feed consumption, feed conversion, body weight gain, income over feed cost and no significant effected on the index of production.

Indonesia has significant fisheries potential due to its vast waters. Its abundant fishery resources have strong export potential. However, export activities often face challenges that cause export volumes to fluctuate. This fluctuation is influenced by various factors. These factors can be minimized using statistical methods such as Principal Component Analysis (PCA) and Factor Analysis. This study includes data characterization for each variable and testing PCA and factor analysis assumptions, including multivariate normality testing, independence testing (Bartlett's test), sampling adequacy (KMO test), anti-image correlation testing, PCA testing, and factor analysis. The results indicate that the percentage contribution of fisheries to GDP, the number of coastal villages with disaster mitigation facilities, and the average daily per capita calorie consumption from fish are relatively less dispersed and not highly variable around the mean. Additionally, all data meet the assumptions, and the sample size is adequate. Factors such as aquaculture pond production and the percentage contribution of fisheries to GDP sufficiently explain the data variations.

Islamic boarding school as a development of knowledge about Islamic teachings. Knowledge and in-depth understanding of halal principles in production and consumption in accordance with Islamic law. Halal literacy is very important to ensure that products in circulation comply with halal regulations. Bangkalan is one of the districts on the island of Madura, which is famous for its strong Islamic culture, and the many Islamic boarding schools which play an important role in social life and community education, where many Islamic boarding schools are a challenge in implementing halal principles for the environment around Islamic boarding schools. With the development of halal literacy, the aim is to increase understanding and application of halal principles through various education and training programs, outreach and other activities. This research focuses on the contribution of Islamic boarding schools in developing halal literacy at Islamic boarding schools in Bangkalan. Halal literacy includes a deep understanding of products and services that comply with Islamic law. The aim of this research is to identify forms of Islamic boarding school contribution in developing halal literacy in Bangkalan Regency. It is hoped that the results of this research will provide new insights to increase the role of Islamic boarding schools in strengthening halal literacy in society. This research uses a qualitative approach with a study method that focuses on several Islamic boarding schools in Bangkalan Regency which are considered to have a significant role in developing halal literacy. Data was collected through in-depth interviews with Islamic boarding school caregivers, students and other relevant parties, as well as through direct observation of activities related to halal literacy.

This research aims to analyze the awareness of Medan State University and Medan Area University (UMA) students as citizens in understanding social rights and responsibilities regarding the use of dangerous chemicals in cigarettes. The background to this research is based on the increasing consumption of cigarettes among students and its impact on health and the environment. The method used in this research is a qualitative approach with data collection techniques through interviews and observation. Interviews were conducted with students from various departments at both universities to explore their knowledge and attitudes regarding chemicals in cigarettes. Apart from that, observations were carried out in the campus environment to see cigarette consumption behavior among students. The research results show that students' awareness of their rights to obtain accurate information about the dangers of smoking and their social responsibility to educate their friends is still low. Therefore, more effective educational programs are needed to increase students' understanding of this issue and encourage proactive action in protecting themselves and the environment from the negative impacts of smoking.

Urban farming in Pakintelan Village, Gunungpati District, Semarang, was initiated to overcome food security challenges and improve local economic welfare through the use of limited land in urban areas. The main problem faced is the low level of community participation in agricultural activities and a lack of understanding of sustainable agricultural practices. This program involves UNPAND KKN students in providing training in farming techniques, organic pest management, and the use of compost fertilizer. The methods applied include direct training and mentoring by extension workers, routine monitoring and evaluation, and outreach through local communities. Apart from that, the program also encourages the processing of harvests into value-added products and the formation of small farmer groups to strengthen community involvement. As a result, this program has succeeded in increasing community participation, maintaining environmental sustainability, and contributing to the economy with the potential to use harvests for consumption or sale. It is hoped that the replication of the program in other areas will expand its impact, making urban farming a sustainable and inclusive model of urban agriculture.

Halal certification assistance activities in Lomaer Village, Blega District, Bangkalan Regency aim to assist Micro, Small and Medium Enterprises (MSMEs) in obtaining halal certification for their products. Many MSMEs in the Bangkalan area, but do not yet fully have halal certification. The existence of a halal product guarantee issued by the MUI (Indonesian Ulema Council) will provide protection for the general public to realize that every product that is designated as halal is considered safe for consumption in accordance with Sharia principles in Islam. This activity uses methods ranging from observation by collecting data on MSME actors, holding halal certification socialization activities, as well as assisting with halal certification and making NIB for the mechanism for submitting halal labels until registered. There were 8 MSMEs who attended the socialization activity, but because the quota was limited, only two MSMEs were selected, namely "Al-Azfar" and "Tang Kerupuk", to facilitate the registration process and obtain halal certificates.

This study aims to evaluate the quality of quail eggs sold in various traditional markets in Kediri City, East Java, Indonesia. The research was conducted from July to September 2024 at several traditional market locations, namely Mrican Market, Campurejo Market, Semen Market, Bandar Market, and Pahing Market. The quality parameters tested include the presence of Salmonella, Total Plate Count (TPC), pH, air cell depth, and shell thickness. The quality testing of quail eggs was carried out at PSDKU UB Kediri. The results of the study show that the quail eggs sold in these markets are safe for consumption, with no Salmonella contamination (0 cfu/ml) and TPC values within safe limits (2.1 x 10³ to 4.4 x 10³ cfu/ml). The pH values of the eggs range from 6.3 to 6.9, indicating good freshness. The air cell depth ranges from 1.54 mm to 2.36 mm, and the shell thickness ranges from 0.19 mm to 0.20 mm, indicating good and consistent physical quality of the eggs. Overall, the quality of quail eggs in the traditional markets of Kediri City can be categorized as good based on the parameters tested.

This study aims to see the effect between energy subsidies and electricity consumption on economic growth in Indonesia. This study uses secondary time series data for the period 2014-2023 with a quantitative approach using the Eviews 12 software analysis tool. The variables in this study are energy subsidies, electricity consumption and economic growth which are analyzed by multiple linear regression methods. The results showed that energy subsidies have a positive and insignificant effect on economic growth, electricity consumption has a positive and significant effect on economic growth in Indonesia. While energy subsidies and electricity consumption simultaneously have no significant effect on economic growth in Indonesia in the 2014-2023 period.

This research analyzes the consumption behavior patterns of the people of Blitar Regency and City in the context of national food efficiency from an Islamic economic perspective. The aim of the research is to identify people's consumption behavior patterns, the food efficiency strategies implemented, and the obstacles faced in national food efficiency efforts. The research method used is a descriptive qualitative approach with data collection techniques in the form of in-depth interviews, observation and documentation. The research results show that the consumption patterns of Blitar people tend to shift from staple food to non-food as prosperity increases. Food efficiency efforts are carried out through increasing production at low costs and optimizing income. However, there are obstacles in the form of uneven efficiency in the production to consumption chain. This study recommends increasing public awareness to avoid wasting the implementation and concept of maslahah in consumption patterns according to Islamic teachings.

The selection of agricultural and plantation products often relies on human perception of fruit color. Manual identification through visual observation has several drawbacks, such as time consumption, fatigue, and varying perceptions of quality. Digital image processing technology enables automatic sorting of products. This study applies the Perceptron learning method to identify tomato ripeness. Tomato images are captured using a webcam, analyzed through color histograms, and identified using artificial neural networks. The identification success rate reaches 43.33%, with outputs categorized as Unripe (10%), Half-Ripe (6.66%), and Ripe (26.66%).

Energy efficiency has become a critical focus in manufacturing plants due to rising operational costs and increasing environmental concerns. The growing importance of energy management is driven by the need to reduce energy consumption, lower emissions, and enhance overall operational efficiency. Traditional maintenance practices, such as reactive and preventive maintenance, often lead to unnecessary downtime, high repair costs, and inefficient energy usage. In contrast, predictive maintenance (PdM), supported by Internet of Things (IoT)-enabled sensor networks, offers a proactive approach to minimizing energy waste by predicting equipment failures before they occur. This study develops a predictive maintenance framework using IoT-based sensor networks to optimize energy usage and reduce energy losses in manufacturing plants. The research begins with an overview of IoT sensor network architectures and their applications in industrial automation, including sensors such as temperature, vibration, and pressure sensors. It explores predictive analytics techniques, such as machine learning and artificial intelligence, used for failure prediction, which are key to enhancing energy efficiency. The study emphasizes how predictive maintenance contributes to industrial sustainability by reducing carbon footprints and optimizing energy consumption. The research methodology involves the installation of IoT sensors in critical machinery, real-time data analysis using machine learning algorithms for failure prediction, and energy consumption measurement before and after implementing IoT-based interventions. The results show significant improvements in energy consumption efficiency and operational productivity. Predictive maintenance led to reduced unplanned downtime, increased equipment reliability, and a more sustainable manufacturing process. However, challenges such as sensor integration, initial setup costs, and data security concerns were identified. The study concludes with recommendations for integrating IoT-based predictive maintenance systems into manufacturing plants to further optimize energy usage and promote sustainability.

The increasing consumption of short-form video content, such as TikTok, Instagram Reels, and YouTube Shorts, has raised concerns regarding its impact on cognitive functions, particularly short-term memory. This study aimed to examine the effect of short duration video exposure on short-term memory performance among students at Yayasan Irtiqo Kebajikan. An experimental method with a two-group design was employed, consisting of an experimental group that watched short duration videos for 180 seconds and a control group that received no video exposure prior to the memory test. The participants were 40 students selected through random sampling. Short-term memory was measured using the ME Test, a subtest of the Intelligenz Struktur Test (IST), which assesses the ability to recall a series of words. The results of statistical analysis indicated a significant difference between the experimental and control groups (p < 0.05), with the experimental group demonstrating lower short-term memory scores. These findings suggest that exposure to short-form video content may negatively affect individuals ability to store and process information in short-term memory, highlighting the importance of managing digital media consumption among children and adolescents.

Blockchain and cryptocurrencies have changed the way we transact and interact in the digital age. However, the rapid advancement of these technologies has resulted in major environmental impacts. Efficient implementation of blockchain requires the use of large amounts of energy and computing power, with consensus algorithms as the foundation. The purpose of this study is to investigate the environmental implications of blockchain and cryptocurrency implementation, as well as initiatives to mitigate these issues. The type of research is a library study (library research) using a qualitative method, namely by combining, collecting information or previous scientific papers on relevant topics. Along with the growing popularity of cryptocurrencies, the continuous mining process often results in large energy consumption and carbon emissions, sparking concerns about their long-term viability and environmental impact. Based on the results of previous research and research sources, the author found a solution to the problem of high energy consumption from the use of blockchain, namely: Proof of Stake (PoS), Proof of Authority (PoA), Sidechains and Layer-2 Solutions, Hardware Optimization, Implementation of Consensus Algorithms Based on RUST.

Blockchain and cryptocurrencies have changed the way we transact and interact in the digital age. However, the rapid advancement of these technologies has resulted in major environmental impacts. Efficient implementation of blockchain requires the use of large amounts of energy and computing power, with consensus algorithms as the foundation. The purpose of this study is to investigate the environmental implications of blockchain and cryptocurrency implementation, as well as initiatives to mitigate these issues. The type of research is a library study (library research) using a qualitative method, namely by combining, collecting information or previous scientific papers on relevant topics. Along with the growing popularity of cryptocurrencies, the continuous mining process often results in large energy consumption and carbon emissions, sparking concerns about their long-term viability and environmental impact. Based on the results of previous research and research sources, the author found a solution to the problem of high energy consumption from the use of blockchain, namely: Proof of Stake (PoS), Proof of Authority (PoA), Sidechains and Layer-2 Solutions, Hardware Optimization, Implementation of Consensus Algorithms Based on RUST.

The global clean water crisis is exacerbated by significant losses in water distribution networks (WDNs), resulting in inefficient use of both water and energy resources. Traditional methods of leak detection and pressure management often fail to address these inefficiencies, leading to substantial water wastage and high operational costs. This research aims to design a sustainable, smart water distribution system using advanced technologies such as Machine Learning (ML) for leak detection and automated pressure control. The system employs real-time monitoring through IoT sensors, which continuously gather data on water pressure, flow rates, and other critical parameters. This data is analyzed using various ML algorithms, including supervised and unsupervised learning models, to detect anomalies indicative of leaks. Additionally, the system integrates automated pressure control mechanisms that dynamically adjust pressure to prevent over-pressurization, reducing both water loss and energy consumption. By combining leak detection and pressure control, the proposed system offers a more efficient, sustainable solution to water resource management compared to traditional methods. The expected outcomes include a significant reduction in water loss, enhanced energy efficiency, and improved water service quality. However, the implementation of such a system in rural or small-town infrastructure faces challenges, including sensor maintenance, algorithm reliability, and regulatory issues. A cost-benefit analysis suggests that while the initial investment in smart technologies may be high, the long-term savings in water and energy costs outweigh these costs. This study underscores the potential of ML-based systems in enhancing water conservation, operational efficiency, and sustainability in water management.

This study investigates optimal retrofit strategies for buildings in tropical climates, focusing on energy efficiency, thermal comfort, and indoor air quality (IAQ). Given the unique challenges of high temperatures, humidity, and energy demands in tropical regions, traditional retrofitting methods often fall short of achieving a balance between these critical factors. By employing a multi-objective optimization approach, this research identifies the most effective combination of retrofit solutions, including insulation, natural ventilation, and high-performance window treatments. The results show that the proposed retrofit strategy significantly reduces cooling energy consumption, while maintaining or improving occupant comfort and IAQ. Insulation, particularly external insulation, proved to be the most effective in reducing heat transfer, while natural ventilation strategies and advanced materials further contributed to improving thermal regulation. The study demonstrates that integrating passive and active retrofit measures, tailored specifically to tropical climates, leads to optimal building performance. The multi-objective optimization algorithm (NSGA-II) allowed for the generation of Pareto-optimal solutions, offering a set of trade-offs between energy efficiency, thermal comfort, and IAQ. These findings are particularly relevant for policymakers and building professionals seeking sustainable retrofit solutions in tropical regions. The study also highlights the importance of integrating energy efficiency and IAQ considerations in retrofit strategies to avoid compromising occupant health. Further research is recommended to explore the integration of advanced materials, such as phase change materials (PCMs), and to enhance IAQ management in retrofitted buildings, ensuring long-term sustainability and occupant well-being in tropical environments.

This study investigates the impact of Islamic education on promoting environmental awareness and sustainable economic behavior among youth. As environmental issues continue to pose significant global challenges, fostering eco-conscious behavior among the younger generation is essential for ensuring long-term sustainability. Islamic education, with its emphasis on ethical responsibility, stewardship, and accountability as outlined in the Quran and Hadith, provides a unique framework for shaping pro-environmental attitudes and behaviors. This experimental study compares two groups of students: the treatment group exposed to green-Islamic content and the control group receiving general civic education. The research measures students' environmental awareness, knowledge of sustainability, and behavior before and after the intervention, using pre-test and post-test questionnaires, as well as qualitative interviews. The results indicate that the treatment group exhibited a significantly greater improvement in environmental awareness and sustainable behavior compared to the control group. These findings suggest that Islamic education, by integrating religious and ethical principles into environmental education, can effectively encourage sustainable behaviors such as resource conservation, waste management, and ethical consumption. The study highlights the importance of incorporating Islamic values into educational curricula as a means to foster a more environmentally responsible generation. Additionally, the research emphasizes the need for further studies to explore the long-term effects of eco-conscious Islamic education across different cultural and educational contexts. The results of this study contribute to the growing body of knowledge on the role of religious education in addressing global environmental challenges and promoting sustainable development.

This study examines the asbab al-nuzul of Q.S. al-Baqarah (2):220 and its relevance to the concept of orphan care in Islamic thought. Employing a library research method with a qualitative-descriptive approach, the study analyzes the Qur’anic text, classical tafsir works (such as al-Tabari, Ibn Kathir, and al-Qurtubi), authoritative asbab al-nuzul sources (al-Waḥidi and al-Suyuti), as well as contemporary scholarly literature and recent journal articles (2020–2024). The findings indicate that Q.S. al-Baqarah (2):220 was revealed as a corrective response to the excessive caution among the Companions following stern warnings against unjust consumption of orphans’ property. The verse emphasizes the principle of islaḥ (reform and welfare) as the primary criterion for interactions with orphans. A thematic reading, complemented by related verses such as Q.S. al-Nisa’ (4):2 and (4):10 and Q.S. al-Duha (93):9, demonstrates that orphan care in Islam integrates legal, ethical, psychological, and social dimensions, prioritizing dignity and social integration over isolation. Contemporary studies further affirm the relevance of this verse to modern child protection principles, particularly the best interest of the child and family-based care models. This study recommends the development of orphan care policies rooted in family and community-based approaches, guided by trustworthiness, transparency, and holistic welfare.