Android is an operating system with open source and consists of several layers, with the different layers its duties and responsibilities. Various parties in the customization chain such as device vendors such as Samsung, Xiaomi, Oppo, Huawei, and others, operators such as Telkomsel, Smartfren, XL, etc., and hardware manufacturers can customize one or more layers to adapt devices for different purposes, such as supporting specific hardware and providing different interfaces and services.
The purpose of this study was to investigate systematically for any inconsistencies that arose as a result of the processes involved in this study and to assess their various security implications. This research runs DroidDiff to perform a substantial-balance diverse investigation on images collected by the analytical methodology. DroidDiff found a lot of differences when it comes to the selected features. The method used in this study is the method of five differential analysis algorithms. As a result, by comparing the security configurations of similar figures, important security changes that could be accidentally introduced during customization can be found.
The results show that DroidDi? can be used by vendors to check the configuration of various security features in a given image. DroidDiff will extract those features from the image, and compare them to other image configuration sets, then DroidDiff will flag the inconsistent ones for further investigation by vendors who have the source code and tools to check their effect. For future work, improvements to DroidDi? to more accurately detect risky inconsistencies are highly recommended. Improving DroidDiff will help reduce the number of false positives and determine risky configurations more accurately.

This research examines the potential for leadership development through the creation of comprehensive leadership channels within organizations. By highlighting training elements that focus on the skills required for success in a leadership role) and succession planning (i.e., the creation and implementation of long-term plans that address changes in top leadership roles) as two distinct organizational initiatives. The method in this research is to combine the concept of Real Option Reasoning (ROR) with a skill-based leadership model. An in-depth study of the implementation of Comprehensive Leadership Pipelines (CLP) as an alternative to developing a leadership model is also reviewed in this study. The conclusion of this study is that by adjusting succession planning policies to outreach organizations according to the ROR pillars, it is possible to create CLPs that simultaneously lower turnover, increase the likelihood that employees will be in the right place at the right time, and reduce the risks associated with large investments. on employees. Given the need for organizations and individuals to assist in the selection of employees for appropriate leadership skills-based training, companies can make better and less risky decisions when selecting organizational leaders.

This research serves the virtual Synchronous Generator finding and oversight building of the Multi-port Autonomous Reconfigurable Solar (MARS) structure to bring backing to the alternating-curring network under various events on the network and presents a “model-based predictive control” (MBPC) oversight finding for the MARS structure to bring backing to the MARS structure alternating-curring network while the density innovation is recognized in the system. The main objective is to nominate a “model-based predictive control” leading oversight design that can bring density backing while unexpected density alteration. In this study, a comprehensive application of a virtual Synchronous Generator-based oversight innovation for the MARS structure is given. The expected oversight finding and control architecture of the MARS structure is evaluated by simulation on the “PSCAD”/EMTDC simulation platform to show performance under various operating conditions and calculated in the “Opal-RT” offline simulation model that also can be adapted to complete the certified “control-hardware -in-the- loops” (c-HIL).
The dominant density backing performance is a conceivable combined improvement for each current network-unified capability transistors system. By increasing infiltration of transistors system-based stuff, passivity and immediate density feedback potentially decrease. Leading “model-based predictive control” (MBPC) finding to provide density backing to current topologies of unified “photovoltaic” (PV), battery-based “energy storage system”s” (ESS), and “high-voltage direct current” (HVDC) method named “multi-port autonomous reconfigurable solar” (MARS) is suggested. The expected oversight finding for regularly based on virtual Synchronous Generator-based oversight. Simulation of the MARS-HVDC method by the recommended oversight approach was assumed and authorized for MARS related to a “small short circuit ratio” (SCR) network in a “PSCAD”/EMTDC assumed habitat. The expected oversight finding displays superior work in the phrase of increasing rock bottom frequency and increasing constant-area frequency concerning no density oversight.
The results of this research indicate that the MARS architecture by Synchronous Generator -based oversight brings exceptional heat backing by inserting higher active potential to the structure while equitable stage error compared to the Virtual Synchronous Generator - based oversight mode. The Synchronous Generator-based oversight mode is also balanced and brings better work in the phase of density rock bottom and balance-area increase. In the great feedback, the Synchronous Generator-based oversight mode is good than the Virtual Synchronous Generator-based oversight mode for each short circuit ratio set tested. MBPC-based oversight is entrenched in a virtual Synchronous Generator-based oversight algorithm. The recommended oversight innovation and control architecture of the MARS structure was calculated on the MARS structure in the “PSCAD”/EMTDC simulation environment. The simulation results show an increase in nadir frequency and steady-state frequency provided by the Multi-port Autonomous Reconfigurable Solar (MARS) structure via MBPC control. In future research, leading oversight methods are required to bring steady action down to unsteady error.

EMOS Marketplace as one of the business to business (B2B) e-commerce which is in great demand by customers, especially pharmacies, clinics and private hospitals. Along with the development of technology in the industrial era 5.0, where customers become decision makers and can determine for themselves which distributor to choose to buy the pharmaceutical products needed at this time. This research is a quantitative research using a descriptive research design and path analysis techniques. There are consisting of 200 pharmacists that become respondents by using Slovin formula approach. The results of this study indicate that variables E-Service Quality, E-Trust, E-Satisfaction and Repurchase Intention have a positive and significant. Based on the results of this study, suggestions that researchers can convey to EMOS Marketplace to continues improvement include increasing customer security standards, adding a product search feature based on manufacturers and WhatsApp notifications to find out order status. Hopefully EMOS Marketplace always create continuous innovation (continues improvement) in terms of service. So that customers will feel trusted and satisfied with EMOS Marketplace

Intrusion Detection Systems (IDS) are an efficient defense against network attacks as well as host attacks as they allow network/host administrators to detect any policy violations. However, traditional IDS are vulnerable and unreliable for new malicious and genuine attacks. In other case, it is also inefficient to analyze large amount of data such as possibility logs. Furthermore, for typical OS, there are a lot of false positives and false negatives. There are some techniques to increase the quality and result of IDS where data mining is one of technique that is important to mining the information that useful from a large amount of data which noisy and random. The purpose of this study is to combine three technique of data mining to reduce overhead and to improve efficiency in intrusion detection system (IDS). The combination of clustering (Hierarchical) and two categories (C5, CHAID) is proposed in this study. The designed IDS is evaluated against the KDD'99 standard Data set (Knowledge Discovery and Data Mining), which is used to evaluate the efficacy of intrusion detection systems. The suggested system can detect intrusions and categorize them into four categories: probe, DoS, U2R (User to Root), and R2L (Remote to Local). The good performance of IDS in case of accuracy and efficiency was the result of this study.

Unlimited availability of content provided by users on social media and websites facilitates aggregation around a broad range of people's interests, worldviews, and common narratives. However, over time, the internet, which is a source of information, has become a source of hoaxes. Since the public is commonly flooded with information, they occasionally find it difficult to distinguish misinformation disseminated on net platforms from true information. They may also rely massively on information providers or platform social media to collect information, but these providers usually do not verify their sources.
The purpose of this research is to propose the use of machine learning techniques to establish hybrid models for detecting hoaxes. The research methodology used here is a feature extraction experiment, in which a series of features will be analyzed and grouped in an experiment to detect hoax news and hoax, especially in the political sphere by considering five modalities.
The outcome of this research indicates that the relation between publisher Prejudice and the attitude of hyper-biased news sources makes them more possible than other sources to spread illusive articles, besides that the correlation between political Prejudice and news credibility is also very strong. This shows that the experiment using a hybrid model to detect hoaxes works. well. To achieve even better results in future research, it is highly recommended to analyze user-based features in terms of attitudes, topics, or credibility.

Android is a complicated system that applications and component are usable and support for multiple work together, giving rise to highly complex interdependence relationships. Meanwhile, the Android environment is notable for being greatlty disparate and decentralized: different Operation System version is personalized and re-personalized by different parties about fast and used by whoever that can develop an application for that version. Android secure its explanation sources over an app sandbox and permissions model, where each application execution in this part can entrance only suspectible overall assets and another application component (value providers, services, activities, publication receivers) by the appropriate liscense.
This study uses Harehunter measurement to automatically detect Hare vulnerabilities in Android system applications. Harehunter and HareGuard performance evaluations were carried out in this study, both of which proved to be highly effective. The approach used here is divergent investigation, by searching all quoted, decompiled script, and obvious data for targeted attribute determination as an initial step, and running an XML parser. The outcome of this research show that the impact of Hares is very significant. The application of HareGuard in this study proved to be effective in detecting all attack applications that were made. Further evaluation of the performance impact on the minimum system host. For future research, to make Harehunter more effective, it is suggested to use a more qualified analyzer. So that this direction can be explored in more depth.

This research was conducted with the intention of discovering how the management of incoming and outgoing letters is handled in the General, Personnel, and Legal Subdivisions of the Office of the Education Office of the Province of South Sulawesi. This is a qualitative study, with data obtained from direct observations and interviews about the management of incoming letters and letters. The descriptive research methodology was utilized for this study's research design. Field studies by observation (observation) and interviews were used to collect data for this study (interview). The study's findings revealed that the management of incoming and outgoing letters in the General, Personnel, and Legal Subdivisions at the South Sulawesi Province Education Office, based on the results of interviews and observations, employs a combined principle, namely the principles of centralization and decentralization. In terms of archive storage, inactive archives are managed by Archivists, whereas active archives are managed by their respective subsections.

This study uses the Markov Decision Model (MDP) to implement battery degradation and optimize battery use in Photovoltaic and the battery system model created. The battery optimization scheme for home loads uses the application of solar energy to optimally measure photovoltaic and battery capacity against each other. The different qualities of the standard used in this study are described starting from system characteristics and charge settings to an analysis of MDP and battery degeneration. Various systems undergo a list of analyses to implement awareness reasoning although developing battery volume and photovoltaic for the current system. The parametric span of cosmic and battery central tariff, the tariff of power worn taken away the framework, tariff of battery degeneration, time of year, photovoltaic generator size, battery size, and Health Status (SoH) of batteries were carried out to determine the optimal volume estimate and analyze the trade-offs essential in a mix scheme. This is then used to treasure trove the minimum amount of fee of the scheme with photovoltaic and battery application.
This study support decision of the essential sizing deliberation for photovoltaic and battery-managed home loads linked to the services grid. Insightful that the battery can be used more destructively, also it can be formed lower and run at a greater C speed. This study analyzes actual fog computing research tools and storage composition algorithms for fog computing and develops a fog computing monitoring framework to provide data for fog computing storage composition algorithms. The framework proposed in this study provides granular container virtual hardware resource information and black box monitoring of service layer information associated with microservices. Framework usefulness on Raspberry Pis and CPU overhead of framework tested.
The results of this study present the framework proposed could be used on single-chip microcomputers with relatively inadequate computational performance. In addition, a minimal effect on the battery degeneration system on the MDP decision due to the low system C-rate limit for the battery and interesting behavior of total fee and demand is also found. For future research, testing different maximum C levels should be considered to determine the photovoltaic size and battery system affected. Various battery optimization systems can be proved to check the benefit and disbenefits in the microgrid system case study. Lastly, collecting a scheme for actual-time reproduction to know how nice the operation is performing is the next stage of implementing MDP for battery management and system development.

This study examines the creation of Customer Value with the supporting variables Relationship Quality and Cost-to-Cost as variables that can affect value. Customer Value for the company in building relationships in the future. This research takes companies that supply fabric dyes to textile companies by conducting interviews via email and in-person interviews. The method used is to examine qualitatively and quantitatively. In qualitative research, it examines the costs incurred which have a correlation with customer service and the estimated actual costs for individual services. Furthermore, quantitative measurements are carried out to check the quality of RQ, profitability from past customers, Customer Lifttime Value (CLV) by presenting the proposed framework. In the final section, an evaluation of the effect of RQ on CLV is carried out which results in the conclusion that RQ has an effect on driving customer costs and profitability in the future.