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The Lack of Empathy Among Teenagers in Pekanbaru
No full textThis study aims to measure the level of empathy among adolescents in Pekanbaru and identify the factors that influence low empathy among them. This study used a quantitative method with a descriptive approach. The study sample included 349 adolescents from the ages of 12 to 18 who attended school in Pekanbaru. The sampling technique used was quota sampling, ensuring that the sample represented various social and educational groups in Pekanbaru. The data collection method used the Empathy Scale developed by Jolliffe and Farrington, which measures two main dimensions: cognitive empathy and affective empathy. The collected data were analysed quantitatively using descriptive statistics to describe the distribution of empathy levels and linear regression analysis to determine the influence of factors such as social media use, academic pressure, and social interaction on adolescents’ empathy levels. The results showed that the majority of adolescents in Pekanbaru have low levels of empathy, especially in the affective empathy dimension. Factors such as excessive social media use and academic pressure are significantly associated with low empathy among adolescents. This study recommends interventions involving education in schools and family support to raise awareness about the importance of empathy development
Improvement of Self-Compassion Through Art Therapy to Improve Sick Role behavior in Thalassemia Patients
No full textSick role behavior is the conduct exhibited by a sick person, including their rights to improve their health. One of the factors in increasing sick role behavior is selfcompassion, which can be improved through group art therapy. This study aimed to determine the effect of self-compassion on sick role behavior through art therapy. The research subjects included six people in the control group and six people in the experimental group. The experimental group was given treatment in the form of art therapy, namely drawing, while the control group was not given treatment. This study used a scale of self-compassion and sick role behavior. Data were studied using non-parametric analysis, namely the Mann-Whitney test, Wilcoxon test, and Spearman’s Rank Correlation test. The results showed a significant increase in sick role behavior with increasing self-compassion using art therapy in thalassemia patients, with an alpha coefficient of 0.858
Improving Early Detection Capabilities of Child Development Disorders in Pos Pelayanan Terpadu (Posyandu) Cadres
No full textDelays in early detection of developmental disorders in children can affect the developmental function of children in the future. This study aimed to improve the ability to detect early developmental disorders in Pos Pelayanan Terpadu (Posyandu) cadres through psychoeducation and training based on community intervention. This research is a case report with a single-group experimental design. Participants were 11 mothers of Posyandu cadres, with the criteria determined through purposive sampling. The research instrument used the Kuesioner Pra-Skrining Perkembangan (KPSP) and a checklist of indicators for detecting early developmental disorders in children—data analysis using descriptive and Wilcoxon tests. The intervention was community-based through psychoeducation and training for early detection of developmental disorders in children. The results showed increased knowledge among Posyandu cadres related to child developmental disorders and the ability to carry out early detection
Radioprotective effect of omeprazole against testicular damage induced by ionizing radiation in mice: An experimental study
No full textBackground: Radiation-induced normal tissue damage remains a major concern in radiotherapy, particularly affecting rapidly dividing cells, including those in reproductive tissues. Developing effective radioprotective agents to mitigate this damage is crucial for preserving fertility.
Objective: The radioprotective effects of omeprazole (OMP) were investigated in adult male mice undergoing external radiation.
Materials and Methods: In this experimental study, 36 adult male mice (30–35 gr, 6–8 wk old) were divided into 6 groups and orally administered OMP daily via oral gavage for 7 days before whole-body irradiation. On the 8th day, mice were subjected to a single 6 Gray dose of 6 megavoltage X-ray radiation. Blood samples were collected via cardiac puncture for testosterone level evaluation, while testicular specimens were harvested post-euthanasia for sperm parameters assessment and histological analysis. Additionally, spermatogenic cell density was evaluated.
Results: Irradiation of 6 Gray X-ray to the testis of mice significantly affected sperm count, progressive motility, DNA fragmentation, the number of sperm with normal morphology, and the number of immotile sperm. Furthermore, administration of OMP improved progressive motility, DNA fragmentation, and sperm viability. Histopathological findings showed irradiation led to severe testicular atrophy with spermatogenic arrest and abnormal cytoarchitecture vacuolation and interstitial edema, while OMP treatment reversed relative radiation toxicity, especially in the 50 mg OMP treatment group.
Conclusion: In conclusion, OMP could act as an effective radioprotector against testicular damage following X-ray irradiation in an animal model. Further studies are needed to investigate OMP potential in protecting human testis tissue
The Effect of Accelerated UV Aging on the Physicochemical and Mechanical Properties of Synthetic Leather with Palm Olein-based Epoxy Plasticizer
No full textThis study investigates the use of palm olein-based epoxy as a sustainable plasticizer for synthetic leather, with a focus on its durability under ultraviolet (UV) aging conditions. The research aimed to evaluate how incorporating palm olein-based epoxy influences the mechanical properties of synthetic leather compared to conventional petroleum- based plasticizers. A completely randomized design was employed, with three treatment groups (Control, ST1.5, and ST0.75), each tested in triplicate. Synthetic leather samples were plasticized with palm olein-based epoxy, and mechanical performance was assessed. As a benchmark, 2,2,4-Trimethyl-1,3-pentanediol diisobutyrate (TXIB), a commonly used petroleum-based plasticizer, was included for comparison. The results demonstrated that palm olein-based epoxy significantly improved tear strength and vertical elongation, indicating its effectiveness as a plasticizer for polyvinyl chloride (PVC)-based synthetic leather. After UV aging equivalent to 30 months, samples containing olein-based epoxy showed greater plasticizer migration than the control, but demonstrated higher final tear strength. Given its renewable origin and raw material availability, palm olein-based epoxy shows significant potential for further development as a sustainable alternative to conventional plasticizers
Development of an IoT-based Monitoring System for Greenhouse Gas Emissions and Soil Health in Paddy Fields
No full textThe agricultural sector significantly contributes to greenhouse gas (GHG) emissions, particularly methane, due to anaerobic conditions in paddy soils. Effective monitoring of these emissions is critical for climate change mitigation and sustainable agricultural practices. This study developed an Internet of Things (IoT)-based system for real-time monitoring of methane emissions and soil health. The system integrated advanced sensors: RS-CH4-X-2-EX for methane detection, CWT-BL-ORP-2K-S for redox potential measurement, and QC-S8 for soil chemical analysis. The design process focused on creating a user-friendly platform capable of providing continuous and accurate data. Field testing evaluated the system’s performance under flooded paddy field conditions. The RS-CH4-X-2-EX sensor demonstrated high precision (±2%) and rapid detection (<10 seconds), accurately capturing methane concentration dynamics. The CWT-BL-ORP-2K-S sensor effectively monitored redox potential with stable readings in anaerobic environments, while the QC-S8 sensor provided detailed information on soil moisture, nutrients, and pH levels, critical for precision agriculture. The sensors were seamlessly integrated into an IoT platform, allowing remote data access and real-time visualization, enhancing decision-making for sustainable farming. This system offers a cost-effective and scalable approach for monitoring GHG emissions and improving soil health, enabling more efficient resource use, increased productivity, and reduced environmental impacts
Strategies for Low-Carbon Agricultural Development Through Smart Farming of Chili Peppers
No full textThe increasing global demand for sustainable food production necessitates the adoption of low-carbon and efficient agricultural practices. This study explores the application of smart farming technologies to chili cultivation, particularly in Indonesia, a region where chili farming significantly contributes to the agricultural economy but faces challenges of resource inefficiency and greenhouse gas (GHG) emissions. Smart farming integrates Internet of Things (IoT) devices, automated irrigation, and precision agriculture to optimize water, fertilizer, and energy use, reducing the carbon footprint of chili production. The research, conducted through a systematic literature review, identifies strategies such as IoT-enabled soil moisture sensors, precision irrigation systems, and targeted fertilization techniques. These approaches collectively enhance resource efficiency and mitigate environmental impacts. When integrated with renewable energy solutions, such as solar-powered irrigation, these technologies further reduce reliance on fossil fuels, promoting both economic viability and environmental sustainability. Key findings reveal that precision agriculture not only mitigates GHG emissions but also improves crop resilience and profitability by reducing input costs and enhancing yields. The integration of renewable energy further aligns chili farming with Indonesia’s climate action goals, promoting a model for sustainable agricultural development. This study underscores the importance of adopting low-carbon smart farming practices to achieve greater agricultural resilience, food security, and environmental stewardship in the face of climate change
Amino Acids Profile of Coconut-based Traditional Fermented Food of Indonesia
No full textProtein-containing fermented foods are source of important amino acids. We studied amino acids profile of three coconut-based traditional fermented food originated from Central Java, namely “kethek”, “bungkil”, and dage tempeh. Samples were collected from traditional markets in Purwokerto (dage tempeh), and Gombong (kethek and bungkil). Samples were dried and powdered upon analysis. Results showed that the total of amino acids were 244.551 g/kg (kethek), 514.15 g/kg (bungkil), and 15.10 g/kg (dage tempeh). Highest concentration of essential amino acids in the products were phenylalanine (17.66 g/kg in kethek), histidine (6.46 g/kg in bungkil), and isoleucine (12.18 g/kg in dage tempeh). Bungkil and dage tempeh showed methionine as the lowest concentration of essential amino acids, 0.462 g/kg (bungkil), 0.696 g/kg (dage tempeh). While tryptophan and methionine in kethek were also in low concentration, 3544.7 and 3.628 g/kg, respectively. Based on the highest concentration of essential amino acids, the products showed good candidate for source of compounds related to neurotransmitters
Life Cycle Analysis of Snake Fruit Chips with Cradle-to-Gate Approach for Responsible Production and Consumption
No full textThe snake fruit chips industry generates significant environmental impacts due to fuel emissions and production waste. Food loss and waste occur at various stages, including processing, storage, and distribution. To address these challenges, this study proposes the integration of circular economy principles by repurposing snake fruit peel and seed by-products into powdered beverages, based on the follow-up scenario for by-product utilization. Environmental impacts were assessed using OpenLCA 2.0 software and the ReCiPe Midpoint 2016 method, focusing on categories such as global warming potential, stratospheric ozone depletion, terrestrial acidification, freshwater eutrophication, terrestrial ecotoxicity, and human carcinogenic toxicity. For every 15.024 kg of raw material used, 1 kg of chips was produced, requiring a total energy input of 30.277 MJ/kg, of which 42.3% was electrical energy, 51.2% LPG, and 6.5% fuel. Life Cycle Impact Assessment (LCIA) results indicated that the production stage contributed most significantly to environmental impacts, with Global Warming Potential (GWP) as the dominant category. Implementing circular economy strategies not only reduces environmental harm but also enhances resource efficiency and promotes sustainable consumption and production practices within the snake fruit chips industry
Artificial Intelligence in Media Business Implementation in Bandarlampung: A Qualitative Study on Adoption, Difficulties, and Opportunities
No full textThe penetration of Artificial Intelligence (AI) in media industries globally has transformed traditional journalism practices, reshaping content creation, distribution, and audience engagement strategies. As news organizations worldwide increasingly adopt AI technologies, from automated reporting to predictive analytics, local media outlets face unique challenges and opportunities in implementing these innovations. Using a qualitative methodology, this study investigates the adoption and implementation of AI technologies in Bandarlampung’s leading media organizations: Radar Lampung, Lampost, and Tribun Lampung. The primary goal is to examine how these local media outlets use AI technology to enhance data-driven decision making, operational efficiency, and content personalization. Through in-depth interviews with prominent media figures, firsthand observation of AI deployment, and document analysis, the research provides insights into the current state of AI adoption in local journalism. The study’s findings indicate that while AI use in these Bandar Lampung media outlets is still in its early stages, it shows promising growth, particularly in reader sentiment analysis, content recommendation systems, and basic content production automation. Tribun Lampung, as part of a larger network, demonstrates more advanced AI implementation, while Radar Lampung and Lampost are in various stages of early adoption. The research identifies the primary challenge as the lack of human resources with AI knowledge and experience in integrating these systems with existing infrastructure. This study offers valuable insights into the possibilities and challenges of integrating AI into local media operations. Practical implications include the necessity for media workers to develop AI literacy and for business models to adapt to technological innovations. The research also emphasizes the importance of collaboration between academics, tech developers, and the media sector in advancing Bandarlampung’s AI ecosystem, particularly for regional news organizations navigating the digital transformation landscape