Application Service Providers Research Articles

Pengaruh Kebermanfaatan, Kemudahan, Keamanan, Serta Kepuasan Pengguna Dan Kesiapan Teknologi Informasi Terhadap Penggunaan E-Filing Pada Wajib Pajak Polri

E-Filing is a way of submitting tax returns and submitting renewal notices for both periodic and annual tax returns electronically which are carried out online and in real time through an Application Service Provider (ASP). This study aims to determine the factors that influence the use of e-filing for police taxpayers. The variables used in this study are the dependent variable, namely the use of e-filing, while the independent variables are usefulness, convenience, security, user satisfaction, and information technology readiness. The data used in this study are primary data using a questionnaire. Respondents are individual taxpayers in police officers who report tax returns using e-filing with puposive sampling or authoritative sampling methods. The population in this study were police taxpayers. The sample used in this study was 150 respondents. Descriptive statistical test, validity test, reliability test, normality test, heteroscedasticity test, multicolinerity test, determination coefficient test, f statistical test, t statistical test, hypothesis testing used in this study is multiple linear regression analysis. The results of this study indicate that: 1) Benefit has a positive effect on the use of e-filing 2) Ease has a positive effect on the use of e-filing 3) Security has a positive effect on the use of e-filing 4) User satisfaction has a positive effect on the use of e-filing 5) Readiness of technology and information has no effect on the use of e-filing.
 Keywords : E-Filing, Usefulness, Convenience, Security, User Satisfaction, Technology And Information Readiness.

Multiple objectives dynamic VM placement for application service availability in cloud networks

Ensuring application service availability is a critical aspect of delivering quality cloud computing services. However, placing virtual machines (VMs) on computing servers to provision these services can present significant challenges, particularly in terms of meeting the requirements of application service providers. In this paper, we present a framework that addresses the NP-hard dynamic VM placement problem in order to optimize application availability in cloud computing paradigm. The problem is modeled as an integer nonlinear programming (INLP) optimization with multiple objectives and constraints. The framework comprises three major modules that use optimization methods and algorithms to determine the most effective VM placement strategy in cases of application deployment, failure, and scaling. Our primary goals are to minimize power consumption, resource waste, and server failures while also ensuring that application availability requirements are met. We compare our proposed heuristic VM placement solution with three related algorithms from the literature and find that it outperforms them in several key areas. Our solution is able to admit more applications, reduce power consumption, and increase CPU and RAM utilization of the servers. Moreover, we use a deep learning method that has high accuracy and low error loss to predict application task failures, allowing for proactive protection actions to reduce service outage. Overall, our framework provides a comprehensive solution by optimizing dynamic VM placement. Therefore, the framework can improve the quality of cloud computing services and enhance the experience for users.

A Budget Constraint Incentive Mechanism Based on Risk Preferences of Collaborators in Edge Computing

Mobile Edge Computing (MEC) is a new distributed computing method based on the mobile communication network. It can provide cloud services and an IT service environment for application developers and service providers at the edge of the network. Computation offloading is a crucial technology of edge computing. However, computation offloading will consume the resources of the edge devices, and therefore the edge devices will not offload computation unconditionally. In addition, the service quality of edge computing applications is related to the cooperation rate of edge devices. Therefore, it is essential to design an appropriate incentive mechanism to motivate edge devices to execute computation offloading. However, the current existing incentive mechanisms have two problems: Firstly, existing mechanisms do not account for probability distortions under uncertainty in collaborator utility valuation models. Secondly, the platform ignores the risk preferences of collaborators in multiple rounds of decision-making. To address these issues, we propose an incentive mechanism based on risk preference, IMRP. The IMRP considers the collaborator’s probability distortion, introduces an uncertain utility bonus scheme, and builds a probability distortion model to influence the collaborator’s willingness to offload tasks. The IMRP also considers the collaborator’s risk preference and builds the collaborator’s risk preference model to influence the collaborator’s bidding decision. Simulation results show that our mechanism effectively improves the cooperation rate of edge devices and the utility of the requester.

TAX PAYMENT USING E-FILLING ON COMPANY IN PERUM GREEN VIEW CITY BATAM: AN INTRODUCTION

The General Directorate of Tax Regulations No. 47/PJ/2008 Article 1 Paragraph 7 states that e-Filing is an electronic method of filing SPT and the Annual SPT Extension Notification through the Application Service Provider. This process can be completed online and in real time. By utilizing the elffiling app, taxpayers may pay their taxes more easily. People with hectic schedules can especially benefit from this app, since it allows them to report their taxes without having to physically visit the tax office. People's faith in the tax system is increased since they can see and understand how tax dollars are spent more clearly. Sensitization and education regarding e-filing and the significance of tax payments are still required on a constant basis, even with a rise in awareness. It ensures that society may take full advantage of technological advancements and remains informed about changes in tax laws. It's critical to keep in mind that these conclusions are broad and flexible enough to be tailored to particular results in the dedicating process.

Technology Acceptance Model to Factors Customer Switching on Online Shopping Technology: Literature Review

Customer loyalty is a phenomenon that is the center of attention of an organization or company because it greatly influences the continuity and development of the organization. Customers are said to be loyal if they have affection for a company's products or services. So that loyal customers will express this affection by saying positive things about the company's products or services to friends, relatives and co-workers. However, if customers feel uncomfortable with a company's products and services, there is a possibility that customers will switch from loyal to disloyal. This is usually called customer switching. This research is based on a systematic review of the influence of usability and ease of use of online shopping applications as well as the factors causing customers to switch from online shopping applications to mobile retail applications. Three phases are used in this study's systematic literature review (SLR). The factors that were discovered were categorized using three main themes. Interconnected among these three elements are perceived utility, perceived ease of use, and behavioral intention to use. This study also found that when TAM is added as a new component to gauge the intention to adopt an online shopping application, "trust, ease, and information quality" are the most important factors. By carefully identifying the effects of online shopping application on business management, this research contributes theory. The findings assist online shopping application service providers in formulating sensible plans for foreseeing and enhancing clients' intentions to use online shopping applications.

Analisis E-filing Direktorat Jenderal Pajak dan E-filing Online Pajak untuk Pengembangan Jasa Aplikasi Perpajakan (Studi Kasus di Indonesia)

Taxes play an important role in increasing Indonesia's economic growth which is indicated by 82.85% of funds for the State Revenue and Expenditure Budget originating from state tax revenues. The Directorate General of Taxes as the most important institution in Indonesia issued an e-filing tax administration system (Electronic Filing System). DGT is assisted by ASP in implementing e-filing to facilitate tax services to taxpayers. However, ASP's e-filing portal continues to decline, this attracts the author's attention to examine the existence of ASP's e-filing in the next few years. This study aims to find out the gaps in future application development so that it becomes an opportunity for e-filing taxes which Application Service Providers compare to e-filing at the Directorate General of Taxes. The research method used interviews. The results of this research indicate that the opportunity for ASPs e-filing is high for the next few years, this is indicated by the consultants who continue to use ASPs e-filing because there are several advantages of ASP's e-filing that DGT does not have.

A Novel Scheduling Algorithm for Improved Performance of Multi-Objective Safety-Critical WSN Using Spatial Self-Organizing Feature Map

Technological advances in the internet of things (IoT) allowed a low-cost, yet small sensor device to operate with limited power in a dynamic harsh environment where human intervention is impossible. The wireless sensor network (WSN) is an example of the IoT in which physical devices’ software and sensors can interconnect to provide application services. It is important that such applications be dependable to meet the required quality of service (QoS) and function as expected. Consequently, the multi-objective optimization (MOO) problem in WSNs aims to address the trade-off among coverage, connectivity, and network lifetime requirements. Node scheduling is one approach of many used to optimize energy in WSNs. The contribution of this work is the proposal of a self-organizing feature map (SOFM) to enhance the node scheduling in WSNs. The proposed SOFM node-scheduling algorithm aims to spatially explore the state space domain and obtain an optimal solution. In our experiment, the proposed SOFM node-scheduling algorithm is evaluated against a comparable algorithm, namely the BAT node-scheduling algorithm, via MATLAB simulator. The results showed that the SOFM node-scheduling algorithm outperformed the latter by 27% and 28% for the maximum and minimum coverage, respectively, with similar performance of 99% of connectivity and network lifetime.

The Impact of Using E-Filing on Taxpayers is Reviewed from the Principle of Legal Certainty

E-Filing is a service for sending or submitting Annual Tax Returns (SPT) electronically for individuals or entities (Companies or Organizations) to the Directorate General of Taxes via online and real time internet communication channels which are referred to as ASP (Application Service Provider or Service Provider Application). By utilizing this technology, Taxpayers (WP) no longer need to print all report forms and wait for receipts manually. Therefore, this research aims to determine the implementation of E-Filing in terms of the principle of legal certainty and its impact on society. This research uses a qualitative approach that is in accordance with the concept and scope of the problem. The data and information needed are taken from facts and events that have occurred. The results of the research are first, research shows that the use of E-Filing in SPT reporting in Indonesia has adequate legal certainty. This is because the mechanism and implementation have been regulated in the Decree of the Director General of Taxes. The E-Filing concept also provides significant benefits for Taxpayers, such as faster, more cost-effective and efficient reporting. Second, the impact felt by society. Taxpayers are happy with the E-Filing system design which is neat and easy to understand, so that it can increase tax compliance in submitting Annual Tax Returns. Thus, the use of E-Filing in SPT reporting is expected to improve tax compliance and improve tax performance in Indonesia.

Analysis of the Application of E-Filing in Efforts to Improve Taxpayer Compliance in Submitting Annual Tax Returns at the Manado Primary Tax Service Office

E-filing is a way of submitting Annual Tax Return electronically and in real time through the DJP Online tax e-filing website or applications managed by tax application service providers (ASP). This research was conducted to evaluate the implementation of the e-filing system at KPP Pratama Manado with the aim of improving taxpayer compliance and identifying factors that support and hinder the implementation of e-filing. The research method used is qualitative with a descriptive approach. The results showed that the use of e-filing has a good impact on the level of taxpayer compliance, especially for individual taxpayers. In addition, the results identify the benefits and challenges faced by taxpayers and KPP Pratama Manado in dealing with e-filing.

Big Data Network Optimization for Mobile Cellular Networks in 5G

5G ensures the provision of intelligent network and application services by means of connectivity to remote sensors, massive amounts of Internet of Things data, and fast data transmissions. Through the utilization of distributed compute architectures and by supporting massive connectivity across diverse devices like sensors, gateways, and controllers, 5G brings about a transformative revolution in the conversion of both big data at rest and data in motion into real-time intelligence. Big Data Analytics play an important role in the evolution of 5G standards, enabling intelligence across networks, applications, and businesses. Administrators of mobile organizations have access to a plethora of opportunities to enhance service quality through big data. Network optimization serves as a crucial method to achieve this task, with network prediction forming the foundation for such optimization. Ensuring network stability and security is essential for 5G mobile communication, considering its significance as an important tool in national life. Therefore, this work focuses on presenting big data network optimization for mobile cellular networks within the context of 5G. In order to improve the Quality of Experience (QoE) for users, this work explores various methods for integrating network optimization and Big Data analytics. The performance of the presented model is evaluated in terms of QoE, Throughput, handover rate, mobility, reliability, and network slicing.

Joint optimization strategy of task offloading to mobile edge computing

Offloading strategies in mobile edge computing are hot research, whereas, existing offloading strategies at the edge hard handle the issues of multi-user intensive task scheduling, resulting in the poor utilization of network resource. Therefore, this makes the quality of experience for end users far from satisfactory. To address this, this paper proposes a novel joint offloading strategy consisting of the back propagation neural network and the genetic algorithm. Firstly, using the genetic algorithm optimizes the learning error of the back propagation neural network, and then energy consumption in the system and response delay are jointly optimized by the back propagation neural network. Under long-term total overhead-cost constraints, the joint strategy can achieve the search of the optimal solutions to generate superior calculated offloading results. Unlike those approaches devoting into reducing response delay only for end users, this work takes account into the total overhead-cost in the system thereby affording more efficient for application service providers. Multiple simulation results indicate that the proposed strategy can not only reduce the average response delay of the mobile edge computing system, but also remain a low average energy consumption.

Availability-aware multi-component V2X application placement

Vehicle-to-everything (V2X) applications are an integral part of the realization of autonomous and connected vehicles. Due to the large amount of data generated by the vehicles, the stringent delay requirements, and the sheer size of V2X applications, these applications are decomposed into several components that need to be placed in close proximity to requesting vehicles. Mobile-edge Computing (MEC) has been envisioned as a promising solution for vehicular task offloading. Despite the desirable properties of MEC, which can potentially satisfy the delay requirements, edge servers have limited computational capability and have a high cost. They also have availability concerns that should be taken into account. In this regard, Application Service Providers (ASPs) strive for a solution that can both satisfy the delay requirements of V2X applications and cut their expenses, which is reflected by the utilization of edge resources. To that end, this work formulates a Binary Linear Program (BLP) that minimizes the ratio of the experienced to the tolerable delay threshold and the utilization of edge resources under resource and V2X applications' availability constraints. To investigate the trade-off between these two objectives, they are parametrized by a coefficient that reflects their relative priorities. Additionally, the delay and the resource objectives are studied in light of different V2X applications' availability constraints. The experimental results show the effectiveness of our approach. On average, the delays of all V2X applications are satisfied with an acceptable level of edge server utilization.

MPKIX: Towards More Accountable and Secure Internet Application Services via Mobile Networked Systems

Nowadays, both Internet Application Service (IAS) providers and users face various security threats and legal issues. Due to the lack of reliable user information verification mechanisms, adversaries can abuse IASs to launch various cyberattacks, such as misinformation distributing and phishing, by using fake user accounts. IAS providers may thus inadvertently offer inappropriate content to restricted users, thereby suffering a serious risk of prosecution under local or international laws. Also, IAS users may suffer from nefarious ID theft attacks. In this paper, we proposed a novel security framework, MPKIX, designated as Mobile-assisted PKIX (Public-Key Infrastructure X.509). MPKIX secures both IAS providers and users by leveraging the broadly used PKIX services and mobile networked systems. It not only provides IAS providers with a reliable user verification mechanism while simultaneously enabling cross-IAS user privacy protection, but also largely mitigates the possibility of ID theft attacks and benefits other involved parties, such as cellular network operators and PKIX service providers. We further conduct a security analysis of MPKIX and implement an MPKIX prototype. The evaluation results based on the prototype confirm the effectiveness and efficiency of MPKIX with low overhead.

Influence of E-Service Quality on Continuance Intention with Customer Satisfaction as an Intervening Variable on LinkAja Application Users in Bandung City

The development of electronic money in Indonesia has made many people start to switch to digital payment modes as an easy solution for conducting various non-cash transactions. The city of Bandung, one of the most densely populated cities in Indonesia, is the city with the most digital payment users. One of the digital payment applications used is LinkAja. This research was conducted to determine the factors that influence the intention to continue the use of the LinkAja application in the city of Bandung. These factors include e-service quality, customer satisfaction, perceived trust, perceived risk. convenience, social value, attitude, and effort expectancy. This study used a quantitative method through data collection by distributing questionnaires online to people who live in the city of Bandung as many as 260 respondents. Data analysis techniques using Structural Equation Modeling (SEM), that is Partial Least Square (PLS) with SmartPLS v.3.2.9 software. Based on the analysis that has been done, the findings in this study indicate that perceived trust, convenience, and social value have a significant positive effect on customer satisfaction. Then, customer satisfaction has a significant positive effect on attitude. Besides that, e-service quality significant positive effect on perceived trust, customer satisfaction, continuance intention, attitude, and effort expectancy LinkAja application users in the city of Bandung. Meanwhile, Attitude also has a significant positive effect on continuance intention, the perceived risk has no significant negative effect on continuance intention. However, effort expectancy has no significant positive effect on continuance intention directly to LinkAja application users in the city of Bandung. This study recommends that LinkAja application service providers must maintain its service quality and create competitive advantages in service quality, so that the number of customer satisfaction and continuance intention to continue the use of the LinkAja application in the city of Bandung increase.

Users’ Intention to Use Mobile Health Applications for Personal Health Tracking

This study aimed to analyze factors influencing the intention to use mobile health applications for personal health tracking (PHT). The respondents were 516 individuals who had used a PHT application, such as Samsung Health, iOS Health, or MiFit. Data processing was done via using partial least squares–structural equation modeling (PLS-SEM). This study uncovered factors that can affect intention to use PHT applications, including perceived usefulness, social influence, facilitating conditions, hedonic motivation, habits, performance risk, and self-health awareness. It was found that perceived ease of use and self-reported health condition do not affect the intention to use PHT applications. This study can provide guidance on PHT application service providers for ensuring data accuracy, increasing user satisfaction when using the applications, and preventing privacy violation.

Pemanfaatan Aplikasi Berbasis Android BukuKas

The use of Information and Communication Technology (ICT) is currently an important requirement for the business sector to facilitate operational activities, including recording financial reports. Information systems are products of ICT development in the form of computer application programs that record and record data to make it easier for users or users to re-access and process data. Digital recording provides convenience and simplicity in its use to prepare financial reports and avoid recording errors. Various financial recording application systems are provided by online application service providers, one of which is the Cash Book. The purpose of using the BukuKas Application for the Bird Feed Caterpillar Breeding business was chosen because previously the business owner was still recording income and expenses perfunctorily, so many expenses were not recorded, so the owner had difficulty checking how much the collectors owed for purchases made. Business owners also find it difficult to record income and expenses because evidence/receipts are lost. Therefore, an information system is needed that helps record transactions safely and quickly by using the BukuKas application to facilitate recording activities and as a medium for recording business transactions. This type of research was conducted using a qualitative descriptive method. Data collection techniques include interviews, WhatsApp, and observation to observe the use of recording before and after using the application so that the selected application can produce a better business report.

FAKTOR YANG MEMPENGARUHI NIAT MENGGUNAKAN APLIKASI BELANJA SELULER DI KALANGAN GENERASI X: PENDEKATAN DENGAN APLIKASI UTAUT

Currently, the development of digital technology has an influence on all human lives, including shopping problems, namely online shopping applications. A lot of research has been done to study it, but there hasn't been much study of the factors that influence the intention to use online apps in generation X. So the purpose of this study is to study the factors that influence the intention to use mobile shopping applications among generation x, using the UTAUT application approach The method used is the UTAUT Model (Unified Theory of Acceptance and Use of Technology), the Integrated Theory of Acceptance and Use of Technology. The UTAUT model is used to be applied to the context of mobile shopping application use among Generation X. This research is a survey research using questionnaires as a data collection instrument. The sample is the Generation X Group who use smartphones and often do online shopping transactions. What influences a person's intention in the use of technology, it turns out to be between: 1) perception of ease of use, 2). perception of usefulness, 3). subjective norms, and 4). perception of quality. What influences a person's intention in the use of technology, it turns out to be between: 1) perception of ease of use, 2). perception of usefulness, 3). security, and 4). l. It can be concluded that the most significant factors in influencing the intention to use mobile shopping apps among Generation X are in terms of ease of use. This can be the basis for designing more effective marketing and promotion strategies for mobile shopping application service providers, and can help increase user satisfaction and strengthen consumer loyalty.

SISTEM APLIKASI ANDROID SERVICE PROVIDER BIZNET PADA PT SUPRA PRIMATAMA NUSANTARA

The purpose of this research is to develop an Android application system for service provider Biznet at PT Supra Primatama Nusantara using Java programming language. This application is designed to help users with various activities such as registering for services, managing accounts, choosing packages, paying bills, and filing customer complaints. This study uses the waterfall system development method, which consists of needs analysis, system design, implementation, testing, and maintenance. The result of this research is an Android application for Biznet service providers that can be used by users to access Biznet services easily and efficiently. This application has been successfully implemented and tested, and is able to overcome the problems faced by users in accessing Biznet services. This application also has a user-friendly interface that can be operated easily. The conclusion of this research is that the development of the Android application service provider Biznet at PT Supra Primatama Nusantara using the Java programming language was successfully carried out using the waterfall method. This app can help users efficiently and easily access Biznet services. This research also shows that using the Java programming language can provide benefits in developing effective and efficient Android applications.

Why and how edge cloud computing can address performance and economic sustainability issues for telco domestic networks

This paper analyzes some of the telecommunication companies' (telcos) domestic networks' main objectives and issues related to the application services Quality of Experience (QoE), i.e., "technical QoE," and the economic sustainability of the Very High Capacity (VHC) networks. Telco domestic networks and Over The Top (OTT) networks are the Internet segments connecting the end-user equipment to the servers/clouds that provide application services. With the advent of VHC networks, telcos afford difficulties in managing effectively and efficiently the application services and their business sustainability. This paper affords some issues related to traditional telcos' domestic network architectures and the approach to managing the application services' performance improvement. Some telcos started changing their architectures, although a massive transformation had not yet started in the industry. Traditionally, telcos focus on network services, i.e., the transport of IP packets. Performance improvement is obtained by QoS-based traffic management techniques, such as bandwidth reservation and packet prioritization. To manage application performance improvement, the use of layer 4 techniques and Edge Cloud Computing (ECC) is effective, as demonstrated by the multiyear experience of OTTs which already use these technologies. In telco domestic networks, layer 2 tunnels increase the complexity of deploying ECC. However, some vendors provide non-standard solutions to make the IP layer 3 user plane visible and to deploy ECC. ECC is the key factor for the transformation. It is a mini/micro-data center that distributes some applications and content closer to the end users. The distribution can provide a paradigm shift in a telco's business. In the paper, we first highlight the need for regulators to appreciate the need to encourage this industry transformation fully.

Strategic Resource Pricing and Allocation in a 5G Network Slicing Stackelberg Game

We consider a marketplace in the context of 5G network slicing, where Application Service Providers (ASP), <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i.e.,</i> slice tenants, providing heterogeneous services, are in competition for the access to the virtualized network resource owned by a Network Slice Provider (NSP), who relies on network slicing. We model the interactions between the end users (followers) and the ASPs (leaders) as a Stackelberg game. We prove that the competition between the ASPs results in a multi-resource Tullock rent-seeking game. To determine resource pricing and allocation, we devise two innovative market mechanisms. First, we assume that the ASPs are pre-assigned with fixed shares (budgets) of infrastructure, and rely on a trading post mechanism to allocate the resource. Under this mechanism, the ASPs can redistribute their budgets in bids and customise their allocations to maximize their profits. In case a single resource is considered, we prove that the ASPs’ coupled decision problems give rise to a unique Nash equilibrium. Second, when ASPs have no bound on their budget, we formulate the problem as a pricing game with coupling constraints capturing the shared resource finite capacities, and derive the market prices as the duals of the coupling constraints. In addition, we prove that the pricing game admits a unique variational equilibrium. We implement two online learning algorithms to compute solutions of the market mechanisms. A third fully distributed algorithm based on a proximal method is proposed to compute the Variational equilibrium solution of the pricing game. Finally, we run numerical simulations to analyse the market mechanism’s economic properties and the convergence rates of the algorithms.