A Novel of Energy Consumption Profile of a Shopping Center

Energy conservation in Indonesia is the primary choice made by the government of the Republic of Indonesia. It is undeniable that the highest consumption of a building is air conditioning energy, especially in a tropical environment like Indonesia. Air conditioning consumes between 40% and 80% of power in a high-rise building. The problem is how to find out the electricity usage profile and energy consumption index in a building that has been in operation for more than 20 years. This research aims to find the energy profile and calculate the energy consumption of a shopping center building. The method used is an Energy Audit according to SNI 6196. The energy consumption profile is an anomaly where the energy consumption for the air conditioning system is only 48%, while the average value in shopping centers in Indonesia is 62.9%. Meanwhile, the GFA energy consumption index is 23.11 kWh/m2/month or 277.3 kWh/m2/year. According to SNI 03-0196, the result is classified as an energy-intensive building. This value is close to the SNI 03-0196 standard for very energy-intensive building levels, which has values between 23.75 and 37.5 kWh/m2/month. Energy-saving opportunities are calculated by calculating the difference in the ECI value with the target ECI value. To increase the efficiency of energy consumption, this can be done by replacing the chiller unit which still uses a step type compressor. Apart from that, improving air conditioning insulation is very significant to overcome energy consumption problems. Adding green plants around buildings can also increase electrical efficiency

Sustainable waste solutions: Optimizing location-allocation of 3R waste management sites in Gondokusuman, Yogyakarta, Indonesia through multi-maximal covering location approach

Developing a Multi-Maximal Covering Location Model (MMCLM) for waste management in Gondokusuman Sub-district, Yogyakarta, Indonesia, is urgently needed. The closure of the Piyungan landfill has resulted in the need for additional Reduce, Reuse, and Recycle Waste Management Sites (3R-WMSs) to reduce waste that the landfill cannot accommodate. The primary objective of this model is to optimize the location and allocation of demand volume nodes, representing the resident population, to a specific set of 3R-WMS. These demand nodes are located at different distances from 3R-WMSs, including high and low coverage areas. The research in the Gondokusuman Sub-district employed MMCLM with facility capacity constraints and was developed using mixed integer linear programming methodology. The study identified five optimal locations for a 3R-WMS establishment that comprehensively cover all demand nodes (15301) and population clusters (45903) in the sub-district, including both high (5085) and low coverage areas (10216). This research represents a significant step forward in developing a sustainable environment by ensuring easy access to reducing, reusing, and recycling-based waste management facilities for residents

Enhancing UAV Navigation in Dynamic Environments: A Detailed Integration of Fick's Law Algorithm for Optimal Pathfinding in Complex Terrains

In the realm of Unmanned Aerial Vehicles (UAVs), efficient navigation in complex environments is crucial, necessitating advanced pathfinding algorithms. This study introduces the Fick's Law Algorithm (FLA) for UAV path optimization, drawing inspiration from the principles of molecular diffusion, and positions it in the context of existing algorithms such as A* and Dijkstra's. Through a comparative analysis, we highlight FLA's unique approach and advantages in terms of computational efficiency and adaptability to dynamic obstacles. Our experiment, conducted in a simulated three-dimensional space with static and dynamic obstacles, involves an extensive quantitative analysis. FLA's performance is quantified through metrics like path length reduction, computation time, and obstacle avoidance efficacy, demonstrating a marked improvement over traditional methods. The technical foundation of FLA is detailed, emphasizing its iterative adaptation based on a cost function that accounts for path length and obstacle avoidance. The algorithm's rapid convergence towards an optimal solution is evidenced by a significant decrease in the cost function, supported by data from our convergence graph. Visualizations in both 2D and 3D effectively illustrate the UAV’s trajectory, highlighting FLA's efficiency in real-time path correction and obstacle negotiation. Furthermore, we discuss FLA's practical implications, outlining its adaptability in various real-world UAV applications, while also acknowledging its limitations and potential challenges. This exploration extends FLA's relevance beyond theoretical contexts, suggesting its efficacy in real-world scenarios. Looking ahead, future work will not only focus on enhancing FLA's computational efficiency but also on developing specific methodologies for real-world testing. These include adaptive scaling for different UAV models and environments, as well as integration with UAV hardware systems. Our study establishes FLA as a potent tool for autonomous UAV navigation, offering significant contributions to the field of dynamic path optimization

Morphological Structure of the Body Setae as Mechanoreceptor on the Mesonotum of Telenomus remus Nixon (Hymenoptera, Platygastridae)

Telenomus remus is parasitoid on many Lepidpoteran. Morphological analysis on T. remus is important to understand their behavior and assest the quality of parasitoid comes from the mass rearing process. However, the information of T. remus body setae cuticle characteristics were limited. This study aimed to explore the body setae on the mesonotum of of T. remus by using electron microscopy analysis and characterize their cuticle characterisics to infer the putative function of the body setae. The results showed structures that support the body setae on the mesonotum as mechanoreceptor. The structure included the long and dangling seta peg, a socket, and a gap between a socket and the base of the seta peg. The putative function related to the biology and behavior of T. remus were discussed

Image Classification of Wayang Using Transfer Learning and Fine-Tuning of CNN Models

Wayang (shadow puppetry) is a traditional puppetry used in a performance to tell a story about the heroism of its main characters. Wayang has gained recognition as a cultural masterpiece by UNESCO. However, this cultural heritage now declining and not many people know about wayang. One of the solutions is using computer vision technology to classify wayang images. In this research, a transfer learning approach using Convolutional Neural Network (CNN) models namely MobileNetV2 and VGG16 followed by fine-tuning was proposed to classify wayang. The dataset consists of 3,000 images divided into 30 classes. This data is split into training and test data that are utilized for training and evaluating the model. Based on the evaluation, the MobileNetV2 model achieved precision, recall, F1-score, and accuracy of 95%, 94%, 94%, and 94.17%, respectively. Meanwhile, the VGG-16 model obtained 93% for all metrics. It can be concluded that transfer learning and fine-tuning using the MobileNetV2 model produces the best result in classifying wayang images compared to the VGG16 model. With good performance, the proposed method can be implemented on mobile applications to provide information about wayang from the captured images, thus indirectly supporting the preservation of cultural heritage in Indonesia

Environmental Risk Factors of Leptospirosis: Systematic Review

Background: Leptospirosis is a zoonotic disease caused by the bacteria Leptospira sp. The incidence of Leptospirosis ranges from 0.1 to 10 per 100,000 per year globally. GIS is a tool to visualize data that considers effectiveness and efficiency when determining the priority areas of particular disease control. Method: This systematic review was based on some databases, Google Scholar, PubMed, and the BASE, for articles published from 2010 to 2020. PRISMA guideline was used during data screening. Results: Eight articles were reviewed that showed a pattern of distribution of cases of Leptospirosis: clustered, evenly, and randomly. We also found 15 environmental factors that influence Leptospirosis distribution:  the existence of the river, precipitation, sunshine, a history of the flood, the existence of the gutter, the condition of the garbage disposal, the existence of rice fields, the presence of vegetation, trap success, the existence of the road, the ownership of the pet, the presence of rats, altitudes, and land-use. Conclusion: 15 identified environmental risk factors influence the incidence of Leptospirosis, namely the existence of rivers, history of flooding, the existence of gutters, waste disposal conditions, rainfall, the existence of rice fields, population density, the existence of vegetation, the success of traps, the existence of ponds, the existence of roads, livestock ownership, presence of rats, altitude, and land use

The Characteristics of Flour from Mango Seeds

Indonesia produces 3,308,895 tons of mangoes in 2022. One type of mango in Indonesia is mango golek. Golek mango seeds can be processed into flour as a source of carbohydrates. The research contribution is the feasibility of golek mango seed flour based on SNI 3751:2009. Proximate analysis was used to determine the nutritional content of the golek mango seed flour. Flour is produced within 2 hours 30 minutes where the temperature variations are 80, 85, 90, 95, and 100 ℃. The proximate analysis consisted of the analysis of carbohydrate content, protein content, fat content, moisture content, ash content, and organoleptic tests. This study obtained an average carbohydrate content of 13.39%, an average protein content of 5.32%, an average water content of 0.80%, an average fat content of 0.33%, and a moderate ash content. 0.97%. The lower the yield of protein, water, fat, and ash, the lower the carbohydrate content, and vice versa. The results of the organoleptic test showed that the higher the temperature used during the oven, the darker the colour, the sharper the aroma, and the smoother the texture of the golek mango seed flour

ESG and firm performance: The moderating role of gender diversity

Disclosure of ESG from companies around the world has experienced a drastic increase, this phenomenon is also accompanied by an increase in socially responsible investment. This study investigates the moderating role of gender diversity in the relationship between the individual dimensions of ESG (environmental disclosure, social disclosure, and governance disclosure) and the company’s performance (Tobin's Q) in IDX companies. The research design is causal-explanatory. Based on the theory of previous findings, hypotheses were developed and tested by applying panel data regression to 42 IDX companies in the period of 2017 to 2021. The results found that disclosure of governance had a significant negative effect on company performance as measured by Tobin's Q. Moderation of gender diversity plays a role in weakening the relationship between governance disclosure with company performance. Several managerial implications are proposed based on this research. Managers may consider other ways to address stakeholder concerns about environmental and social performance. Indonesian policymakers can authorize regulations regarding ESG disclosure requirements to boost firm performance and lead to economic stability

Relationship Nutritional Status and Pulmonary Tuberculosis: Literature Review

Background: The incidence of tuberculosis is an important problem now. One of the risk factors that influence tuberculosis is nutritional status. Malnutrition and tuberculosis are interrelated problems.  Aims of the study is to clearly understand the relationship between nutritional status and the incidence of pulmonary tuberculosis literature. Method: A literature review was carried out by searching articles through electronic databases (Google Scholar, PubMed, ScienceDirect, and SpringerLink) using the keywords nutritional status, tuberculosis, risk factors for the incidence of tuberculosis, and nutritional status incidence of pulmonary tuberculosis. The inclusion criteria for the articles used were articles published in accredited National and International publications articles, year of publication of the articles in the range 2017-20123, full text, open access, and cross-sectional study research design. Seven articles were selected for analysis. Articles were analyzed following Prisma Guidelines. Results: Based on a literature review, it was found that there was a relationship between nutritional status and the incidence of pulmonary tuberculosis. Nutritional status affects a person’s immune system. When nutritional status is in poor condition, the body’s immune system will be low, making it susceptible to disease, one of which is pulmonary tuberculosis. On the other hand, tuberculosis can worsen a person’s nutrition due to the disease process. Conclusion: Based on studies, it is explained that nutritional status has a significant relationship and a high risk of the incidence of pulmonary tuberculosis. Nutritional status and pulmonary tuberculosis have a reciprocal relationship

Eksistensi Kematian sebagai Akhir: Thanatos dan Eros dalam Ziarah Karya Iwan Simatupang (Perspektif Psikoanalisis Freudian)

This article explores personality dynamics in Indonesian literature by taking the theme of death in the novel Ziarah by Iwan Simatupang (1969). The concept of 'Thanatos and Eros' from Freudian psychoanalytic research is understood as the relationship between instincts in human behavior, which are described as conflicting settings, namely the death instinct and the life instinct. This research uses a qualitative description method and a content analysis method in the form of presenting data in the form of words and sentences taken from the novel Ziarah by Iwan Simatupang (1969) on the aspects of Thanatos (death instinct), eros (life instinct) and anxitas (anxiety). The research techniques used are literature review, note-taking, and data processing techniques. Thus, research into personality dynamics in the novel Ziarah by Iwan Simatupang obtained six data on Thanatos (death instinct), five data on eros (life instinct), and one data on anxitas (anxiety). Thanatos (death instinct) data emphasizes the death instinct in the form of aggression and suicidal actions in the Painter character, the Young and Old Operative character, and the Mayor character. The eros data (life instinct) emphasizes the sexual instinct in the painter's characters and the non-sexual instinct (lamentation poetry) in fulfilling physical needs such as feelings of hunger, thirst, work, and others. Anxiety data emphasizes the anxiety of death in the painter's character