Trust Value Research Articles

Menguatkan Moral Anak Generasi Alpha melalui Permainan Tradisional

This research aims to analyze the form of moral values formed in Aplha Generation children through traditional games that use songs and how these traditional games can be used to strengthen these moral values. This research was conducted in Seberang Ulu and Seberang Ilir Palembang for children of the Alpha generation. This research is a case study, which is part of qualitative research. Data collection methods are interviews and observation. Data sources include Palembang natives, male or female adults at least 30 years old, educated at least junior high school, knowledgeable about local culture, and have good memory speech. The research data include data on the form of the game and data on the moral values contained in the game. Data analysis was carried out with several stages: data collection, data reduction, data presentation, and conclusion. The results showed that the Angket-angket Periuk, Cup Mak Ilang, and Luk-luk Cino Buto games are Palembang traditional games that have nine forms of moral values, namely moral values of justice, responsibility, self-control, courage, honesty, trust, brotherhood, patience, and wisdom. Strengthening moral values in children occurs when children play, play, and play after playing.

Hybrid machine learning approach for trust evaluation to secure MANET from routing attacks

A new era in communication has been ushered in by MANET networks, in which users (nodes) interact with one another through a self-configuring network of handheld devices linked by wireless links. Nodes are capable of participating and enthusiastic about sending packets to other nodes. Consequently, the need for a routing protocol materializes. The most difficult aspect is dealing with the network’s dynamic topology as a result of node mobility. This is because limited resources like storage space, battery life, and bandwidth require a protocol that can quickly adapt to topology changes while periodically updating messages. On the other hand, security is another important aspect of routing since the involvement of attackers will exhaust the network resources. This paper addresses the main issue of designing a routing protocol that handles all the adversaries and achieves better efficiency. For that, we proposed a Hybrid Machine Learning (HyML) model which evaluates the. Initially, the network is segregated by the Secure Stable Clustering (SSC) approach which first verifies the node’s legacy and forms clusters based on stability. The HyML is designed by combining two important ML techniques such as ANN and fuzzy-C Means (FCM) algorithm. The ANN model learns multiple attributes of the trust value and computes the cumulative trust score. Next, FCM determines the node position upon trust score. After the computation of the trust value, optimal route selection is performed by the Spider Monkey Optimization (SMO) technique. The overall work is evaluated through comprehensive simulations based on network longevity, throughput, energy usage, PDR, attack detection efficiency, and delay.

CTJIF-ICN: A Coadjuvant Trust Joint Interest Forwarding Mechanism in Information Centric Networks

The Information centric networks (ICN) transforms the focal point of current Internet paradigm to data centric approach from host centric approach by allowing content driven forwarding and in-network caching mechanisms. Though NDN (Named data networking) paradigm of ICN assures a secure content communication, it is vulnerable to different attacks by the malicious nodes. To minimize the hazards from compromised nodes and to improve the network security, the remaining nodes should transparently receive information about such nodes. This will restrict the forwarding strategy to exploit these malicious nodes for forwarding interest and content as well. Our protocol introduces a dynamic model for prediction of trust in order to evaluate the node trust. Proposed approach observes the historical behaviors of node and uses extended fuzzy logic rules for the prediction of future behaviors to evaluate the node’s trust value. This prediction model is incorporated within the trust based forwarding mechanism that aims to forward interest through secure and shortest path. The extensive simulation study has been carried out to analyze the protocol performance in ns-3 driven ndnSIM-2.0 simulator for performance metrics such as data discovery latency, packet delivery ratio, network overhead, detection ratio and cache hit ratio. When we integrate our trust joint forwarding strategy to state-of-the-art protocols, their performance is significantly improved up to approximately 10-35% against stated performance measures for realistic network topology.

Who is responsible? US Public perceptions of AI governance through the lenses of trust and ethics.

The governance of artificial intelligence (AI) is an urgent challenge that requires actions from three interdependent stakeholders: individual citizens, technology corporations, and governments. We conducted an online survey (N = 525) of US adults to examine their beliefs about the governance responsibility of these stakeholders as a function of trust and AI ethics. Different dimensions of trust and different ethical concerns were associated with beliefs in governance responsibility of the three stakeholders. Specifically, belief in the governance responsibility of the government was associated with ethical concerns about AI, whereas belief in governance responsibility of corporations was related to both ethical concerns and trust in AI. Belief in governance responsibility of individuals was related to human-centered values of trust in AI and fairness. Overall, the findings point to the need for an interdependent framework in which citizens, corporations, and governments share governance responsibilities, guided by trust and ethics as the guardrails.

TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities

The popularity of fog-enabled smart cities is increasing due to the advantages provided by modern communication and information technologies, which contribute to an improved quality of life. Wireless networks make them more vulnerable when the network is under malicious attacks that cause a collision in the medium. Furthermore, diverse applications of smart cities demand a contention-free medium access control (MAC) protocol to meet adaptive data requirements. In this work, a time-slot-based medium access control protocol to meet adaptive data requirements (TMPAD) for IoT nodes in fog-enabled smart cities is proposed. TMPAD proposes a trust mechanism to differentiate malicious and legitimate data requests. In addition, it accommodates more legitimate data-requesting nodes to transfer their data during a session by applying the technique for order performance by similarity to ideal solution (TOPSIS) and 0/1 knapsack algorithm. The performance of TMPAD is compared with well-known techniques such as first come first serve (FCFS), shortest job first (SJF), and longest job first (LJF) in different prospective scenarios. The results show that TMPAD scrutinizes more data-requesting nodes in slot allocation, allowing more data transmission in a session, with better mean trust value, as compared to other algorithms.

An artificial immune system‐based algorithm for selfish node detection in Mobile Ad Hoc Networks (MANETs)

AbstractThe Mobile Ad Hoc Network (MANET) depending on dynamic distributed topology presents several challenges such as decentralized infrastructure. In MANET, each node act as a host as well as a router to exchange packet. From Source to destination, the MANET nodes offer the ability of transmission to send, receive, and route traffic. Moreover, the presence of selfish nodes or malicious nodes in MANETs significantly degrades network performance. Identifying and isolating such nodes poses a formidable challenge. Consequently, this research introduces a security model founded on the principles of an Artificial Immune System (AIS) to detect and defend against Selfish Node (SN) attacks. This research work employs the principles of AIS to categorize a node's behavioral state based on the Mature Context Immune Antigen Rate (MCIAR). Subsequently, a hybrid protocol named Reliable History‐dependent Resource Conscious Clustered and Defensive AODV (RRCC‐DAODV) is introduced to detect Selfish Nodes (SNs) and counteract their attacks. Within the RRCC algorithm, the identification of selfish nodes relies on both Trust Value (TV) and Residual Energy (RE). Additionally, the proposed DAODV protocol incorporates the V‐detector algorithm to enhance defense mechanisms against potential attacks. The simulation of the proposed model is carried out in NS3. The proposed mechanism achieves a detection ratio of 94.05%. The simulation outcomes demonstrate the excellence of the implemented system. This superiority is observed when compared to other standard protocols, as indicated by the parameters of throughput, residual energy, packet delivery ratio, and delay.

Kanjan Serayong Traditional Death Ceremony : Shifting Values of Pesaguan Dayak People Due to Mondial Religion

This study aims to describe the procession of the Kanjan Serayong ceremony and the impact of the entry of the Mondial religion, namely Catholicism. This paper has explained the consequences of the traditional beliefs and culture of the Pesagan Dayak community and described the values contained in the Kanjan Serayong ceremony. Data collection in this study used qualitative methods with an ethnographic approach in the Upper Pesaguan Dayak community located in Beringin Rayo Village, Tumbang Titi District, Ketapang Regency. Research data were collected through observation, interviews, documentation, and literature studies. This research found that in the Kanjan Serayong ceremony, there were several shifts from ceremonial processions in ancient times, such as shifts in ceremonial processions, changes in tools and materials used in ceremonies and changes in meaning and meaning. The value of public trust. The shift in the Kanjan Serayong ceremony was caused by the entry and spread of the Mondial religion in the life of the Pesaguan Dayak community in Tumbang Titi District. Then, the impact of the entry of Catholicism also changed the values and even some new values in the Kanjan Serayong ceremony. Cultural values at the traditional Kanjan Serayaong ceremony are related to social, religiosity, and entertainment values.

Professional and Ethical, Development of Teacher

Teaching relationships are interactive, caring and ethical. As such they take into account both the importance and the uniqueness of the individual; in particular, personal history, developmental (social, emotional, physical, cognitive) level, personal learning style. Teaching relationships with peers are based on professional qualifications, ethical conduct, trust, equality and collaboration. Communication, interpersonal skills and decision-making in all professional interactions are based on the Encouragement values of trust, mutual respect, equality, acceptance and co-operation. Community building involves developing a sense of belonging and honoring the uniqueness and diversity of each individual. Teaching as a planned process is based upon defined standards and practice. Teachers believe that it is through the knowledge, skills and example of teachers that public school education nurtures the growth of students, intellectually, socially, physically and emotionally, so that they may be and become self-reliant, self-disciplined, participating members with a sense of environmental and social responsibility within a democratic society. Teaching, as a planned process, is based upon a set of Standards of Professional Practice which incorporate principles of pedagogy, social responsibility, ethical practice, and collaborative relationships.

THE INFLUENCE OF SERVANT LEADERSHIP ON SERVICE INNOVATION BEHAVIOR THROUGH TRUST AND JOB CRAFTING AS A MEDIATOR AT BANK MANDIRI IN THE SOLO CITY AREA

This research aims to examine the influence of servant leadership on service innovation behavior through trust and job crafting as mediators. This research involved Bank Mandiri employees in the Solo City area. A population of 435 employees and a research sample of 385 were used as the research sample. Data analysis uses Partial Least Squares-Structural Equation Modeling (PLS-SEM) to determine the relationship between variables. The research results show that: 1) Servant leadership significant positive effect on SIB; 2) Servant leadership significant positive effect on trust; 3) Servant leadership significant positive effect on job crafting;4) Servant leadership through trusthas no effect on SIB; 5) Servant leadership through job crafting significant positive effect on SIB; and 6) Servant leadership through trust andjob crafting positive effect on SIB. R2 value for the variable job craftingas big as0.139, on variables confidence of 0.258,and the SIB variable is 0.447. As for value Q2 in this research show that the variable value of job crafting, trust, and service innovation behavior is Q2> 0 so that the accuracy of the path model prediction is acceptable. Mark SRMR 0.092 in this study shows well-fitting modelso it is suitable for use in hypothesis testing.

INVESTIGATION OF RELIGIOUS VALUES IN BUILDING DIVERSITY ATTITUDE OF HIGH SCHOOL STUDENTS IN THE MODERN ERA

The aim of this research is to analyze and examine in depth how the instillation of religious values contributes to developing the religious attitudes of high school students and the challenges faced in forming the religious attitudes of high school students in the modern era. Meanwhile, the approach taken in this research uses a qualitative approach with the library research method. The data source for this research combines two primary and secondary sources. Primary media include journal articles, e-books, websites, and other internet media. Meanwhile, secondary sources include online proceedings, magazines, newspapers, and other sources related to the discussion theme. The data collection techniques collect the sources that have been mentioned, classify them, and then draw conclusions. Meanwhile, what is used in this research is a descriptive analysis technique, namely by integrating general knowledge, then drawing specifically (inductively) based on the results of literature findings, which have been carried out with the stages of collecting secondary and primary data, then classifying the data, displaying the data, and then interpreting it to produce knowledge for drawing. conclusion. The results of the research found that instilling religious values in developing students' religious attitudes includes: (1) the role of educators in instilling religious values; (2) the challenges of religious attitudes in the modern era; (3) the implementation of a religious values instillation program; (4) the relationship between religious attitudes and technological developments; and (5) the influence of the school environment in forming religious attitudes. So it can be concluded that the value of worship, the value of the spirit of jihad, the value of morals, the value of example, and the value of trust and sincerity of these five are the core values of the religious values as the basis.

Enhanced trust management for building trustworthy social internet of things network

AbstractInternet of Things (IoT) and wireless communication technologies are evolving rapidly and changing the way we live and work. IoT devices may need to share personal information over the public network taking the help of nearby devices. Thus, the trustworthiness of nearby devices shall play an essential role in providing security and privacy assurance. The authors proposed an autonomous decentralised trust management model for selecting a trustworthy device for a requested service transaction. The proposed scheme uses the Social Internet of Things for trust management. The proposed model uses social relationships to find the level of trust among related devices, estimate the overall trust of the unknown devices, periodically update the observed trust values, and isolate the malicious nodes in the network. The evaluated trust values are updated in the network frequently so that other devices can utilise the information later. The periodic update can increase performance and detect trust‐related malicious attacks. The simulation result shows that the performance of the proposed model is better as compared to existing trust management models. The proposed model can detect malicious objects at an early stage and can handle malicious attacks by isolating malicious devices.

Perceived Value of Online Reviews, Trust, Risk Perception, Purchase Intention and Actual Purchase

The development of technology today greatly affects the stability of the economy, especially in Indonesia. All types of buying and selling activities that are usually done directly with the seller, now we can easily shop online using only a smartphone. Shopee is one of the growing e-commerce in Indonesia. Shopee creates a safe, fun, and easy shopping experience for consumers, because there are positive online reviews that can motivate consumers to trust a brand. This study aims to explore the empirical understanding of the effect of perceived value in online reviews, trust, and risk perception on purchase intention and analyze the impact of purchase intention on actual purchases. The population taken in this study is the Bekasi community. The selected sample amounted to 100 with the criteria of customers who use shopee e-commerce, male and female, with the age of the respondent between 18 and 60 years old who made at least one online purchase during the last month at shopee. The analysis method used is Partial Least Square Structural Equation Modeling. The results of the study state that the perceived value of online reviews, trust, perceived risk can increase online purchase intentions have a positive effect on actual purchases. Future research is expected to expand the range of regions and add other variables related to actual purchases such as product quality.
 
 Keywords: Actual Purchase, Online Purchase Intention, Perceived Risk, Perceived Value of Online Reviews, Trust

The History Of The Battle Of Khandaq: A Study Of The Value Of Leadership And Its Contribution To The Study Of Islamic HistoryThe History Of The Battle Of Khandaq: A Study Of The Value Of Leadership And Its Contribution To The Study Of Islamic History

The purpose of this study is to find out the reasons why leadership determines victory in the Khandaq War, the values of leadership in the Khandaq War, and the contribution of leadership values in the Khandaq War in 627 AD with Islamic History teaching materials. This research is historical research. Sources of data used are primary sources and secondary sources. The main source in this research is the Al-Qur'an. Secondary sources in this study are hadiths and books that are relevant to the subject of research. Data collection in this study was collected using library research techniques and documentation techniques. Data analysis in this study used historical analysis, descriptive analysis and content analysis. The stages of the research procedure consist of heuristics, criticism (both internal and external), interpretation, and historiography. The results showed that the Battle of Khandaq was one of the wars won by the Muslims because the Prophet as a military leader was able to deal with changes in the war situation quickly and precisely. Then, there are leadership values in the Khandaq War consisting of the values of God, trust and responsibility, justice, firmness, and visionary. In addition, this historical event has relevance to Islamic history teaching materials, especially material about the existence of Islam during the time of the Prophet Muhammad in Medina.

The role of internet media effects in the sustainable development of animal conservation institutions during the post‐pandemic era: Stimulus‐organism‐response paradigm

AbstractThe coronavirus disease 2019 outbreak has led cities worldwide to implement lockdowns and stay‐at‐home orders, which has caused a sudden cessation of revenue generation from ticket sales at animal conservation institutions. Accordingly, the cost of feeding and caring for the animals remains unsustainable, and the threat of another outbreak and lockdowns lingers. To this end, the present study investigates the effectiveness of internet media for the sustainable development of animal conservation institutions (e.g., zoos) in the post‐pandemic era. A total of 321 actual visitors' responses were collected through an online survey, and PLS‐SEM was used for the data analysis. The stimulus‐organism‐response (S‐O‐R) theory was used as the framework to explore the effects of content characteristics and internet celebrities in animal conservation institutions on visitors' internal mechanisms and their behavioral responses. Stimulus factors were internet content characteristics and animal celebrities' attributes. Organism factors included visitors' internal mechanisms, such as the attitude toward the ecological environment, trust, and hedonic values. Critical behavioral responses of subscribing to the official channels, visiting the institutions, and making donations were considered. The findings confirm the influence of internet media (content attributes and celebrity attributes) as an antecedent to individual organisms, which in turn leads to spillover effects such as donations. Implications for academic research and practice are provided.

Enhancing trust transfer in supply chain finance: a blockchain-based transitive trust model

AbstractArtificial intelligence and blockchain technology have become indispensable in the era of the digital economy, particularly in the field of financial financing. However, when it comes to supply chain finance (SCF), existing models primarily focus on risk identification and credit evaluation, neglecting the critical aspects of trust transfer continuity and reliability within the chain. To address this issue, this paper proposes a blockchain-based transitive trust model for SCF, which ensures seamless trust transfer from core enterprises to bottom suppliers during financing enterprise credit evaluation. The model utilizes multi-layer metrics to calculate the comprehensive trust value of underlying suppliers, serving as the basis for credit delivery. Additionally, the model stores transitive signature receivable warrants on the blockchain and utilizes splittable delivery of warrants to underlying suppliers. The model’s rationality and correctness are verified through experimental analysis, with results demonstrating that the transitive trust model enhances Small and Medium-Sized Enterprises’ (SMEs) trust at the bottom of the supply chain, thus alleviating financing difficulties for SMEs.

Fuzzy Heuristics for Detecting and Preventing Black Hole Attack

Mobile Ad-hoc Networks (MANET) is a set of computing nodes with there is no fixed infrastructure support. Every node in the network communicates with one another through wireless links. However, in MANET, the dynamic topology of the nodes is the vital demanding duty to produce security to the network and the black hole attacks get identified and prevented. In this paper, a novel fuzzy inference system is designed for black hole attack detection depending on the node authentication, trust value, Certificate Authority (CA), energy level, and message integrity. Before initiating the route discovery process in MANET, the proposed work mainly concentrates on node authentication. The simulation gets carried out using the Network Simulator (NS2), wherein the fuzzy inference system designed shows better performance by providing a certificate to only the trusted nodes. This helps the malicious nodes detection and prevents the black hole attack. The improvement in Packet Delivery Ratio (PDR) enhances throughput and the end to end delay gets reduced through better performance results. This proves that the system is more reliable and recovered to be used in military applications

A public value-based model to understand patients' adoption of eHealth: Theoretical underpinnings and empirical application.

The main objective of this study is to develop an eHealth adoption model based on patients' perceptions of public value dimensions and empirically apply the model to understand the adoption of a governmental health app by Jordanian patients. The study attempts to contribute to overcoming the narrow focus of contemporary theories such as UTAUT and, ultimately, to designing more effective implementation strategies in order to address the current delays in global eHealth adoption. We conducted a quantitative survey of 430 Jordanian patients, utilizing structural equation modeling (SEM) to process the empirical data. Specifically, we applied an SEM two-step approach that involved (a) evaluating the model-data fit through a review of the measurement model(s) and common method bias; and (b) analyzing the structural model. Our findings confirm that the proposed patients' value scale is valid and reliable. Its five dimensions (hedonistic motivation, utilitarian motivation, social value, ethical public value, and public trust value) significantly correlate with patients' public value, and the latter directly affects their use of eHealth apps, with habits mediating this relationship. Among the dimensions, hedonistic motivations tend to be prioritized over utilitarian ones. Ethical and trust values also play an essential role, particularly in how health technology handles patients' data and upholds their dignity and self-esteem. This study highlights the holistic nature of eHealth adoption by patients and the crucial role of public values in their use behavior. It provides useful insights for policymakers and developers.

The Covid-19 Pandemic: Integrity among Civil Servants

The concerning situation of the COVID-19 epidemic forced the government to notarize Movement Control Order (MCO). The act caused lots of civil servants to be forced to execute the concept of Working From Home (WFH). There are many responses received; there were some who received the news well and there were some who rejected the idea. The discussion regarding WFH had caused some civil servants to take advantage of the leniency of working from home. Previously at the workplace, the employers were able to supervise organizational operations conduct almost entirely; but with the execution of WFH, there is difficulty in supervising the workers’ activities in ensuring their values of integrity, trust, and responsibility are preserved, supervised, and well-executed. Integrity problems like being indecent in conducting tasks, accuracy of work time, difficulty in communicating, not executing their actual tasks, and treachery have been the topics of discussion. The objective of this research is to discuss integrity problems among civil servants in WFH and to observe the effectiveness of Islamic management model in achieving organizational goals. Qualitative research method was chosen to analyze the integrity problems by gathering data and analyzing relevant documents in a descriptive manner. The research findings show that the concept of WFH is not the main factor of the integrity problem, instead, it is the individual appreciation of faith value that becomes the foundation of organizational success. Through this paperwork, researchers will analyze how Islamic management model is used to overcome the integrity problems in the WFH period.

Blockchain Technology for Transparency in Agri-Food Supply Chain: Use Cases, Limitations, and Future Directions

Modern agri-food supply chains have transitioned from autonomous and independent local actors to globally interlinked system of multiactors connected by complex relationships, affecting ways in which food is produced, processed, transported, and delivered to end consumers. Frequent incidences of fraudulent practices expose lack of transparency in agri-food supply chains, causing concerns related to economic losses, eroding consumer trust and enterprise brand value. Traditionally associated with cryptocurrencies, banking and finance, blockchains are now being applied in the agri-food sector to address supply chain-related challenges. This article examines the question: How blockchain technology facilitates transparency in agri-food supply chains? Primary attributes of blockchain, namely traceability, immutability, auditability, and provenance, promote transparency in supply chains. Using thematic analysis, the following three areas were identified for implementing blockchain in agri-food supply chains: first, agri-food distribution; second, agri-food origin and sourcing; third, agri-food safety and quality. By cross-mapping thematic areas with primary attributes, our analysis resulted in classification of 25 uses cases. Preliminary findings of this study highlight blockchain-enabled transparency via contemporary uses cases in conceptual, proof-of-concept and commercial stages. It is imperative to sift through the hype and scrutinize limitations of the technology which could interfere with its adoption, deployment, and scalability in agri-food supply chains.

Plant phytochemicals as bio-responsive compounds in smart packaging for food spoilage detection: a comprehensive review

With growing consumer concern for eating fresh and nutritious food, there arises a demand for freshness indicators to build consumer trust and brand value.