International Journal on Advanced Science, Engineering and Information Technology
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The Effect of G/CHNF/ZnONPs Packaging on Nutritional Content, Antibacterial Activity, and Shelf Life of Cheddar Cheese
Get PDFThe packaging of food goods is crucial. Due to the presence of packaging, food goods' quality can be preserved while being stored. This research created gelatin-based nanocomposite packaging with the addition of active compounds in the form of CHNF and ZnONPs, which reduced the decrease in the nutritional content of cheddar cheese and increased its shelf life. Cheese is one of the nutrient-rich food products that are susceptible to changes in environmental conditions. The results showed that G/CHNF/ZnONPs films were able to minimize 7.76%, 4.84 %, 13.24%, and 1.78%, respectively, the potential for decreasing levels of protein, fat, carbohydrates, and minerals, especially calcium, during 30 days of storage of unpackaged cheddar cheese. Additionally, the G/CHNF/ZnONPs coating extended the shelf life of cheddar cheese to 131 days, longer than LDPE packaging and without packaging
Interactive Governance for Mangrove Social-Ecological System in Tangerang Regency: A DPSIR Approach
Get PDFA conceptual model is needed to determine the interaction of ecological and social systems in the governance of a sustainable mangrove ecosystem. The SES approach can be used to analyze the management of mangrove ecosystem areas on the interaction or connectivity of functional system relationships. This research analyzes the social-ecological system (SES) model in managing mangrove ecosystem areas in Tangerang Regency. This research is a descriptive case study, where data collection is carried out through surveys, field observations, and literature studies. Analysis of SES problems with the DPSIR (Driving-force, Pressure, State, Impact, and Response) approach shows that the issues of governance of mangrove ecosystems in Tangerang Regency are driven by the mangrove ecosystem services themselves, population increase, space utilization, economic activities, and the welfare level and knowledge of sustainable ecosystem management. These driving factors cause pressure on the mangrove ecosystem due to the conversion of land functions and activities of ecosystem utilization, causing environmental degradation conditions and increasingly intensive use of mangrove ecosystems. These conditions cause impacts on the socio-ecological system, namely spatial use conflicts, deforestation, environmental pollution, the decline in ecosystem functions, abrasion and accretion, tidal flooding, and social conflicts. These impacts can be suppressed, mitigated, improved, and minimized through mangrove ecosystem governance policies, namely rehabilitation and restoration, ecotourism development, coastal border conservation, silvofishery ponds, coastal community development movement programs, increased public education, and cooperative management based
The Effect of Purchase Intention and Customer Behavior during the Covid-19 Pandemic on Ride-Hailing Application Loyalty
Get PDFChanges in lifestyle have a significant impact on the development of IT services, especially transportation. Consumers easily order vehicles anywhere and anytime. Electronic word of mouth (eWOM) assists consumer decisions, but the information conveyed is less consistent and creates distrust. The COVID-19 pandemic causes company revenue to decline, even though implementation is said to be successful if it gets positive feedback and increases productivity. So, this study aims to determine the factors influencing purchase intention and customer behavior during the pandemic on ride-hailing application loyalty. The data used is 17 informants of Go-Jek, Grab, and Maxim application users. Using ewom with phenomenological qualitative methods analyzes user perceptions based on application experience. Data were analyzed using Atlas.ti software. The results show that the ewom theory is still relevant in the era of social media, especially during the pandemic. The main findings show customer loyalty consists of information quality; reviews; costs, trust; subjective norms; sentiment, emotion; satisfaction; and service quality. The new findings show the lack of influence of sentiments on customer behavior towards ride-hailing use. This study uses industry-level objects so that future research can focus on one company and evaluate the sentiment-emotion factor after the pandemic to get detailed results so that it can fully represent the existing phenomenon
PatchCore-based Anomaly Detection using Major Object Segmentation
Get PDFCameras utilized for product defect detection in the production line of the manufacturing process create noise due to environmental changes such as camera angle and direction of light. This causes a lack of manufacturing process data and reduces the efficiency of anomaly detection. Therefore, it is necessary to produce a method that detects defects occurring in the production line and guarantees product quality and safety using anomaly detection technology combined with artificial intelligence. Therefore, this thesis proposes PatchCore-based anomaly detection using major object segmentation. The proposed method pre-processes product packaging data by using Green Channel thresholding, Major Connected Component Selection, Extracting Outer Contour, and FloodFill with Centroid. As for the pre-processed data main objects are masked, and the image data is segmented. Through PatchCore model, normality and anomaly detection results are binarily classified. In the performance evaluation, the accuracy is compared between the pre-existing anomaly detection method and the proposed method through the pre-/post-preprocessing data, and high performance is proven. The conventional method showed an accuracy of 0.7684, while our approach achieved an accuracy of 0.9784. Additionally, among the CNN models, VGG19 demonstrated an accuracy of 0.5833, and EfficientNet80 showed an accuracy of 0.7, both of which were lower than our method's accuracy. Therefore, even a small data set shows strong performance through the proposed method. The proposed method is expected to be utilized as an effective defect detection model in diverse fields
Phishing and Spoofing Websites: Detection and Countermeasures
Get PDFWebsite phishing and spoofing occur when unsuspecting users are tricked into interacting with a fraudulent website designed to impersonate a legitimate one. This is done with the intention of stealing login credentials or other personal information. The goal of this project is to develop a multi-layered URL-based malicious website detection system to counter such attacks. The proposed system employs several defence mechanisms, including whitelist filtering, API requests to domain blacklist providers, and string comparison algorithms, to accurately identify and classify websites as either legitimate or malicious. In brief, the first layer provides an initial check by matching the domain of the intended website with a predefined whitelist, while the second layer queries APIVoid (a domain blacklist provider) to conduct additional checks for domain age and reputation. Finally, to prevent typographical errors that could unintentionally redirect users to a malicious website, the last layer compares the domain of the intended website with entries in the whitelist to identify any significant similarities using the Levenshtein distance algorithm. To evaluate the system's performance, a comprehensive testing phase was conducted on a dataset containing 30 randomly selected websites, encompassing various scenarios of malicious and legitimate websites. The results show a high true positive rate of 0.94 and an overall accuracy of 0.93, indicating the system's ability to accurately classify legitimate and malicious websites. The proposed system shows promising results in accurately classifying websites and enhancing user awareness to prevent phishing and spoofing attacks
Cocoa Agro-industry Development through the Role of Actors in Supply Chain in West Sumatra
Get PDFSupply chain management is crucial in meeting consumer demand for raw materials and finished products. Effective supply chain processes aim to distribute products efficiently and at the right time, place, and cost to meet all requirements at every level. In the cocoa supply chain, the roles of actors such as cocoa farmers, collectors, wholesalers, agro-industry, and exporters are very important. While the availability of cocoa in the upstream sector is essential for the long-term viability of the cocoa agro-industry, the uncertainty of cocoa prices for farmers can threaten its sustainability. To overcome this problem, this study aims to examine the role of each supply chain actor in the cocoa pricing system. Descriptive and qualitative research methods were used. Interviews with cocoa supply chain actors in Pasaman, West Pasaman, and Padang Pariaman Regencies provided research data sources. According to the research findings, the price-fixing method, cocoa at the farmer and trader level, has been used thus far as the value pricing method received by consumers, which means that the price is based on consumer perceptions of the value of the cocoa being sold. Agro-industry product pricing is based on markup costs for the products produced. Meanwhile, cocoa pricing for exporters is adjusted to reflect the current global cocoa price. So, it is necessary to have a government policy that regulates the role of supply chain actors in determining cocoa prices at the farm level to improve the welfare of farmers, thus ensuring the development of a sustainable cocoa agro-industry
Teacher Challenges in Designing the Learning after Curriculum Change: An Analysis of Learning Management System
Get PDFCurriculum change is an essential educational milestone, which often aims to align the education system with the needs of continuously developing society and global trends. This research aims to identify teachers' challenges in designing learning after curriculum changes. The research design uses quantitative description. The respondents were 214 elementary school teachers in six Central Java, Indonesia cities. An online questionnaire form created using Google Forms is used to collect data. Data was taken using a survey and analyzed descriptively. This instrument consists of 3 (three) parts: (1) teacher challenges regarding curriculum changes, (2) the teacher's ability to design learning, and (3) knowledge and competence about and in using the LMS. The study results show that the biggest challenge for teachers lies in management, experience, and references in implementing the new curriculum, even though their readiness is high. Teachers need supporting facilities like a learning management system (LMS) to help them design lessons and develop learning modules. The majority of teachers are familiar with using LMS, so LMS can be a solution to adapt to teacher challenges. Using LMS to create teaching modules can increase the effectiveness and efficiency of all teacher activities at every level of education. It is hoped that the findings of this research can serve as a guide for educators, researchers, educational technology creators, and governments in exploring and developing new ways to support teachers' work, from planning to assessing learning tools. They can easily upload materials, create assignments and tests, and provide feedback to students
Effect of Human Response on the Effectiveness of Advanced Vehicle Control Systems (HRAVCS)
Get PDFThis work aims to investigate the effect of driver response to relayed messages through Human Machine Interface (HMI) on the effectiveness of Human-Vehicle Interface (HVI) and to enable the optimized design of HMI. The investigation and mathematical modeling cover vehicles with Advanced Vehicle Assistant System (ADAS), which operates using Advanced Vehicle Control System (AVCS). The presented model uses driver response time and machine (electronics, sensors, processors) processing time to measure vehicular efficiency and driver interaction, which is also a function of the HMI design, and the way messages are passed to the driver. The produced model uses a probability function that can be used in the design and testing process to assess the effect of failure on the designed interface and relates the function to the driver's response time ratio and the vehicle electronics' processing time. The presented work concluded that as the driver response time increases, effective interaction decreases as a probability function. Also, as the driver response time deviates from the specified threshold, the effective interaction decreases, which also applies to the processing time. In addition, as the time ratio between the driver responses to the machine processing (Time Ratio) increases, the effective interaction parameter (R) value decreases. The work also proved that a more adaptive model is possible using a probability function correlated to the response time ratio to processing time
The Implementation of Health Protocol in Irrigation Small Scale Project in Padang Pariaman District
Get PDFInfrastructures play an essential role in the development and revitalization of the economy of a country. However, the outbreak of COVID-19 and its spreading have hindered the acceleration of Indonesia's development. Particularly in Irrigation Projects, the Government of Indonesia combined the Cash for Work Program (in Bahasa: 'Padat Karya Tunai', abbreviated as PKT) and Accelerated Program for Improving Irrigation Water Management (in Bahasa: 'Program Percepatan Peningkatan Tata Guna Air lrigasi', abbreviated as P3-TGAI), which empowered the community during its implementation. As the projects involved many workers, massive efforts are needed to prevent the spreading of COVID-19. The Ministry of Public Works and Housing (PW-H) issued ministerial instruction number 2-year 2020 regarding the health protocol to avoid spreading COVID-19. The study's objective is to determine the implementation of the Ministry's instruction in small-scale irrigation projects. Primary and secondary data were used. A set of questionnaires was distributed to 22 respondents to assess the reliability perception and implementation of Ministry Instructions at the project site. This study used Descriptive Statistics, Inference Statistics, Gap, and Quadrant Analysis methods to describe whether the instructions were well-implemented. The results of this study show that the most significant gap in reliability perception and implementation is the instruction to "Measure the body temperature of all workers and employees," with a value of 0.64, which shows a significant difference. Based on quadrant analysis, the position of this instruction is also in quadrant A, which means that this instruction is a top priority for attention in the project
Correlation between Root Nodule Characteristic and Growth Component of Jack Bean Intercropped with Aloe Plant in Calcareous Soil
Get PDFThis research aims to find out the correlation between root nodules and the growth of jack bean intercropped with aloe plants in calcareous soil. The research was carried out in Karangmojo, Gunung Kidul, Yogyakarta, Indonesia. A Randomized Complete Block Design with two factors and three replications was used. The first factor was the application of four rates of cow manure (10, 15, 20, and 25 t ha-1), and the second factor was the nitrogen fertilizer used, consisting of urea at a dose of 100 and150 kg ha-1 and ammonium sulfate at a dose of 200 and 300 kg ha-1. Control treatment of jack bean monoculture was also made. The variables observed were the number of nodules, percentage of plant height, number of leaves, active nodules, leaf weight, root weight, and fresh weight of the plant. Analysis of variance was used for statistical analysis, and Duncan's Multiple Range Test at the 5% significance level was used for means comparison. The best growth of nodules was obtained at the combination of 20-ton manure with urea of 100 kg ha-1, while the best growth of jack bean plants was gained at 15-ton manure combined with ammonium sulfate 200 kg ha-1, and better than the control. There were correlations between nodule number with a number of active nodules and root weight, but no significant correlation with growth components of a jack bean plant