Internet Network Research Articles

Quality Service of The Online Integrated Referral Information System in The Emergency Department of RSUD Bahteramas Southeast Sulawesi Province

The Integrated Referral System (Sisrute) is important in the referral system for patients who need emergency services. This study aims to determine the quality of the Sisrute IGD service at Bahteramas Hospital through qualitative research with a phenomenological approach. The primary informants were 12, and the supporting informants were 6—determination of informants using non-probability and purposive sampling techniques. The results showed that the effectiveness of the Sisrute program has not been maximized because there are obstacles such as internet network problems, slow referral response time, and a lack of resources to manage the program. The security aspect of the Sisrute application is considered quite good because it is supervised by the State Cyber Agency (BSSN), which uses one password for one user. For Sisrute’s user admin personnel, there may still be insecurity flaws, such as accounts needing to be signed out after use or users giving their access accounts to other unauthorized parties. Regarding focusing on patients, Sisrute services are considered to have been implemented based on the conditions and needs of patients. The timeliness of Sisrute services is considered a waste of time when answering Sisrute.

Mobility-Assisted Digital Twin Network Optimization over Industrial Internet of Things

Many real-world networks for the Industrial Internet of Things (IIoT) have diverse connectivity characteristics and real-time constraints imposed by industrial processing. In the context of digital twin networks (DTNs), a large number of IIoT devices may access the network and have a tremendous volume of data. A crucial element of these IIoT devices is mobility, which cannot be effectively solved because the number of IIoT devices connected is extremely large. IIoT devices in DTNs suffer from poor data transmission and link quality because of their mobility. In this paper, device-to-device (D2D) communication-based mobility-assisted digital twin networks are proposed, where edge computing is introduced to design an efficient mapping between the physical and virtual space. Then, we propose the architecture of data transmission for the D2D network to maximize the data rate for reliable connectivity among multiple mobile nodes based on IIoT. A Markov decision process (MDP) is formulated to maximize the data rate for multiple mobile nodes while maintaining the D2D communication link quality. The simulation results demonstrate the superiority of the proposed scheme over other comparable models.

Edge Caching Placement Strategy based on Evolutionary Game for Conversational Information Seeking in Edge Cloud Computing

In Internet applications, network conversation is the primary communication between the user and server. The server needs to efficiently and quickly return the corresponding service according to the conversation sent by the user to improve the users’ Quality of Service. Thus, Conversation Information Seeking (CIS) research has become a hot topic today. In Cloud Computing (CC), a central service mode, the conversation is transmitted between the user and the remote cloud over a long distance. With the explosive growth of Internet applications, network congestion, long-distance communication, and single point of failure have brought new challenges to the centralized service mode. People put forward Edge Cloud Computing (ECC) to meet the new challenges of the centralized service mode of CC. As a distributed service mode, ECC is an extension of CC. By migrating services from the remote cloud to the network edge closer to users, ECC can solve the above challenges in CC well. In ECC, people solve the problem of CIS through edge caching. The current research focuses on designing the edge cache strategy to achieve more predictable caching. In this article, we propose an edge cache placement method Evolutionary Game based Caching Placement Strategy (EG-CPS). This method consists of three modules: the user preference prediction module, the content popularity calculation module, and the cache placement decision module. To maximize the predictability of the cache strategy, we are committed to optimizing the cache hit rate and service latency. The simulation experiment compares the proposed strategy with several other cache strategies. The experimental results illustrate that EG-CPS can reduce up to 2.4% of the original average content request latency, increase the average direct cache hit rate by 1.7%, and increase the average edge cache hit rate by 3.3%.

Analisis Implementasi Kebijakan Pembelajaran Jarak Jauh Program Diploma IV Pada Masa Pandemi Covid 19 di Sekolah Tinggi Ilmu Pelayaran

At the start of the COVID-19 pandemic, all aspects of life were changed, including education. Distance learning is now preferred over face-to-face. The purpose of this study is to evaluate how the distance learning policy is implemented at the College of Shipping during the COVID-19 pandemic. This study also looks at the factors that support and hinder the implementation of the policy, as well as the strategies needed. In this study, a descriptive qualitative method was used. The informants in this study included Structural Officials as Policy Makers, Functional Officials, Lecturers, and Cadets working in policy implementation. This research collected data through observation and interviews. George C Edward III's theory was used as a reference, which states that policy implementation is influenced by four (4) factors: communication, resources, disposition, and bureaucratic structure. The results showed that, during the COVID-19 pandemic, the distance learning policy of the Diploma IV program at the College of Shipping was implemented quite well. However, there are shortcomings in its implementation. Supporting factors, such as the implementation of distance learning in an effort to accelerate the handling of the Covid-19 outbreak, are very helpful. The distance learning policy is considered the best option to maintain education in the midst of a pandemic. The commitment of leaders and communication with implementing staff is good enough. One thing that hinders is the lack of coordination between implementing staff (bureaucracy) when tracking the implementation of distance learning. This is because the SOP for distance learning is not yet available. Lecturers and cadets still complain about the internet network that sometimes experiences delays and sound that suddenly disappears, which disrupts the delivery of materials and consumes resources. Lecturers also complain about the skills of cadets in using simulator equipment, Lab Workshop, and other simulators.

Economic aspects of error identification in semi-structured publications in the state language

Due to the rapid growth of information on the Internet and social networks, research in the field of computational linguistics has become very relevant. The volume of information that people and machines create in natural language needs to be processed, analyzed and verified. Information retrieval systems, dialog systems, and machine translation tools are used for this. The range of automatic text processing systems is very wide, it covers various tasks. Finding errors in texts and words, identifying and correcting incorrect words is one of the most important tasks of natural language processing (NLP). The article provides an overview of semi-structured data, methods and technologies for identifying incorrect words in natural languages. The paper gives an overview of semi-structured data, methods and techniques for detecting incorrect words in natural languages. The aim of the research is to develop an effective approach for detecting and correcting errors occurring in Kazakh-language texts, especially in the context of limited resources and unstructured data. The research includes the use of machine learning techniques as well as economic analysis of the costs of developing and implementing such solutions. The proposed approach facilitates the automation of text verification, which can significantly reduce the cost of manual data processing and improve the quality of information in various spheres, including business and public administration.

Tracing Digital Traces of Money Laundering in Order to Restore State Losses in the Perspective of Justice

Current media facilities and internet networks, people can receive and disseminate information through digital media. Rapid the development of technology and communication has consequences that have an impact on changes in patterns of production and consumption of information carried out by the general public. So researchers are interested in doing this in order to increase vigilance in conducting transactions and data privacy so that can reduce criminal acts related to data or cybercrime. The results showed that in this digital era, the function of the library as information and knowledge service providers change. Library must change the paradigm to be more technology-based and develop themselves, so that as a source of library learning remains a bone backs of the nation in gaining knowledge and deepening scientific, The dynamics of money laundering is growing rapidly is the reason, so it is appropriate in the search for money laundering must use credible digital technology.

Social-Aware Assisted Edge Collaborative Caching Based on Deep Reinforcement Learning Joint With Digital Twin Network in Internet of Vehicles

Social-Aware Assisted Edge Collaborative Caching Based on Deep Reinforcement Learning Joint With Digital Twin Network in Internet of Vehicles

Internet enterprise management, network structure and network capabilities: Basis for internet industry technology innovation framework

Internet enterprise management, network structure and network capabilities: Basis for internet industry technology innovation framework

Advancing the deployment and information management of direct air capture: A solution enabled by integrating consortium blockchain system

Direct air capture (DAC) is a critical and emerging Negative Emissions Technology (NET) that directly removes CO2 from the atmosphere, significantly contributing to climate change. However, the deployment and management of large-scale DAC faces challenges such as collections and analysis of energy consumption data, intricate device and system management, emission prediction and operation strategy, precise carbon footprint tracking, etc. This paper proposes the integration of blockchain technology with DAC systems to address these challenges, utilizing blockchain's inherent properties of immutability, security, and transparency. The implementation strategy includes the development of a DAC consortium blockchain system, leveraging a consensus mechanism11Consensus mechanism: The programming and process used in blockchain systems to achieve distributed agreement about the ledger's state or the state of a data set. (Source: Investopedia), ECDSA encryption22Elliptic Curve Digital Signature Algorithm (ECDSA): In cryptography, the Elliptic Curve Digital Signature Algorithm (ECDSA) offers a variant of the Digital Signature Algorithm (DSA) which uses elliptic-curve cryptography. As with elliptic-curve cryptography in general, the bit size of the private key believed to be needed for ECDSA is about twice the size of the security level, in bits. (Source: Wikipedia), IoT33Internet of things (IoT): describes devices with sensors, processing ability, software and other technologies that connect and exchange data with other devices and systems over the Internet or other communication networks. (Source: Wikipedia) integration, and digital signatures. Preliminary modeling of the proposed system suggests potential improvements in operational efficiency and a reduction in data inaccuracies. The proposed system underscores the system's ability to streamline identity verification, improve data collection accuracy, and facilitate secure, confidential information sharing among DAC stakeholders. By enhancing the efficiency and reliability of DAC operations, this approach supports the scalable and effective deployment of NETs in the global effort to combat climate change. Future research will focus on empirical validation through pilot projects and simulations to further substantiate these claims.

Opportunities and Challenges of CSR Digitalization: Lessons from Major Companies in Indonesia in Mitigating Post-COVID-19 Unemployment

In the aftermath of the COVID-19 pandemic, global impacts extended beyond communities' physical and mental health, encompassing nations' economic stability. Many companies responded actively by contributing to government efforts in addressing post-pandemic economic challenges, particularly through Corporate Social Responsibility (CSR) initiatives. This research aims to identify opportunities and challenges in digitalizing CSR to mitigate the financial impacts of the COVID-19 pandemic. The study focuses on the CSR program, Indosat Digital Camp (IDCamp), implemented by Indosat Ooredoo. The objective is to evaluate the opportunities and challenges faced by Indosat Ooredoo in digitizing CSR to address the economic impacts of the COVID-19 pandemic. Utilizing a qualitative methodology and a single case study design, the research involves interviews with 6 representatives from Indosat Ooredoo and 10 IDCamp participants from Yogyakarta, Bandung, Jakarta, Kabupaten Ogan Komering Ulu, and Kota Tangerang. Research findings reveal that digitalizing CSR presents sustainable opportunities as it can reduce unemployment, provide industry-relevant competencies, align with Indonesia's digital era, remain relevant to post-COVID-19 digital activities, align with government programs, support the demand for digital talents, and attract community participation due to its practical nature. However, IDCamp implementation poses potential challenges, including responsive organization, internet network issues, government program support, program updates, established execution systems, coordination with mass media, and ensuring digitalization facilitates community participation in CSR programs. Keywords: COVID-19 pandemic, CSR digitization, CSR Collaboration, CSR opportunities, CSR challenges.

Assessment of “Knowledge, attitudes and practice” of the population of the Republic of Tajikistan regarding COVID-19

Introduction. Despite the high level of vaccination, some groups of the population still lack reliable information about vaccines and resources with which to familiarize themselves with it. Social and behavioral changes are a key element of an effective response to COVID-19, such as increasing the level of knowledge of the population through the dissemination of information and educational materials on vaccination of the population against coronavirus infection. The purpose of the study: to assess the level of knowledge about COVID-19, behavioral practices, as well as attitudes towards vaccination and other ongoing anti-epidemic measures among the population of the Republic of Tajikistan. Materials and methods. The study was conducted by the NGO “Subhi Tandurusti” from February to May 2024. To assess the level of respondents in the Knowledge, Attitudes and Practices survey regarding issues related to COVID-19, a questionnaire survey was conducted using a specially designed questionnaire. The study involved 2,500 respondents from 15 different districts and cities of the republic. Results. About 93 % of respondents (n = 2322) correctly answered this question regarding modes of transmission of the virus, indicating a high level of awareness of modes of transmission of COVID-19. Relatively high rates of correct answers were recorded to the question “Is it possible to get sick with COVID-19 several times?” 69.5 % of respondents (n = 1737) answered this question correctly, indicating an understanding that it is possible to get sick with COVID-19 several times. Attitude of respondents regarding the safety and effectiveness of vaccination: 78.3 % of respondents (n = 1957) expressed confidence in its safety, 11.3 % (n = 282) did not know the answer, and 10.4 % (n = 261) did not consider the vaccine safe. 2,430 people (97.20 %) have already received the full course of vaccination against COVID-19, 42 people (1.68 %) have only received the first dose of the vaccine and are planning to receive the second. The most popular source of information about COVID-19 was television programs – 44.0 % of respondents (n = 1101), followed by information materials (25.2 %, n = 631) and the Internet, including websites and social networks (22.8 %, n = 571). At the same time, 75.6 % (n = 1889) of respondents rated information and educational materials about COVID-19 as very useful and reliable. To the question “Have you been tested?”: 639 people (25.6 %) “never” got tested, 588 (23.5 %) “often” and 461 (18.4 %) “always” got tested. Conclusion. The results of the study showed that the interviewees had sufficient knowledge about COVID-19, including the transmission of the virus through various routes and clinical symptoms of the disease, as well as the importance of vaccination. Public health initiatives help better protect public health during emergencies such as infectious disease pandemics.

Training for Making Wordwall Learning Media for Teachers in SMK PGRI Kuwu, Grobogan Regency

It doesn't feel like the Covid-19 pandemic that has lasted for 2 years has changed the learning model that we have known so far, namely face-to-face, although the blended learning model that combines conventional models with online learning has been introduced as an evolutionary model, but with the pandemic forcing it to happen. for teachers to immediately adapt and implement it in the schools where they teach as a need that must be met considering the demands of the community who want educators and educational institutions to be able to provide quality education in the midst of this crisis. As an affected educational institution, SMK PGRI Kuwu strives to continue to provide quality learning by applying the blended learning model (Purnomo et al., 2016). After communicating with the service team from PGRI Semarang University, consensus was obtained that the problems faced by partners could more or less be solved by implementing information technology in learning, one of which was the introduction of interactive learning media Wordwall with additional Gamification learning models (Putri, 2020). The application and learning model itself uses a Cloud system or Cloud Computing where between teachers and beneficiaries of learning or students can use information technology devices that vary depending on availability, and do not require device specifications with special and updated technology, the most important thing is the availability of internet network connectivity. Sari Yarza, 2021). Wordwall specifically can be used to create learning media such as quizzes, matchmaking, pairing, anagrams, word randomization, word search, word grouping, and several other additional features such as questions and answer results that can be printed on paper making it easier for teachers and students to document results. work as a task (Hasram, 2021). Through this introduction activity or PKM (Community Partnership Program), it is hoped that teachers and lecturers at SMK PGRI Kuwu can implement it in their learning classes, and are expected to be able to overcome the learning gap that has occurred as a result of the Covid-19 pandemic. The results of the ongoing activities in the form of mentoring and evaluation training, carried out for 3 days which were carried out in a blended manner (offline and online) with the results and responses of the activity participants showing positive indications as indicated by the reapitulation of the questionnaire results of participants' responses to this training activity which showed an average result of 3, 85 on a scale of 4 which indicates a good response or a positive response to the implementation of the training activities.

Analysis of Implementation of Anti-Money Laundering Mechanisms in Blockchain-Based Smart Contracts under Indonesian Regulation

One of the most widely adopted forms of information technology application today is electronic trade through the internet network to make transactions. This transaction system was initially centralized, but with the risk of system failure and hacking, distributed systems such as blockchain were developed to improve security and efficiency. Blockchain also gave birth to derivative technologies such as smart contracts, automated blockchain-based digital agreements. Despite offering many advantages, the anonymity and decentralization of smart contracts raise concerns of misuse for illicit activities such as money laundering. Therefore, regulatory updates in Indonesia are needed to regulate the validity of smart contracts and money laundering actions through this technology. This article analyses the validity and regulation of smart contracts and efforts to implement the AML system in blockchain-based transactions in Indonesia.

Qualitative assessment of the enablers and barriers of COVID-19 vaccination integration, into routine immunization Programme at primary health care facilities in Ekiti state, Nigeria

BackgroundThe introduction of the COVID-19 vaccine influenced discussions to explore integrating COVID-19 vaccination into routine immunization (RI) programs. Subsequently, the WHO Strategic Advisory Group Experts (SAGE) on immunization plausibly advised countries to leverage the COVID-19 vaccination rollout as a transformative opportunity to establish a resilient immunization system, through an integrated immunization system, resulting in strengthened primary healthcare services.ObjectiveThis study assessed the enablers and barriers to integrating COVID-19 vaccination into the routine immunization programme in Ekiti state, Nigeria.MethodsThis study utilized a qualitative research approach to obtain information from 40 participants selected purposively across the primary healthcare facilities, LGA, and state levels. A three-tier approach was employed to select the LGAs. At the same time, In-depth interviews were conducted to elicit relevant information on the assessment of enablers and barriers to integrating COVID-19 vaccination into routine immunization through an interview guide. All the audio interview files were transcribed into English Language, coded, and presented using a thematic approach.ResultsA total of 40 healthcare workers across Ekiti state were selected to participate in this study. Our study found the enablers of integrating COVID-19 into routine immunization to include demand generation and social mobilization, health education, health workers training, data validation, financing, and supervision. However, rumors, demand for incentives, Adverse Events Following Immunization (AEFI), manpower shortage, poor internet network services, and bad road networks were reported as barriers to integrating COVID-19 vaccination into routine immunization in Ekiti state.ConclusionWhile the enablers of integrating COVID-19 vaccination into routine immunization may outweigh its barriers, it is pertinent to know that the efforts towards integrating COVID–19 vaccination in the RI Program is a call to all stakeholders to ensure sustainability. The identified barriers in the study must be addressed to ensure a strengthened health system. Therefore, achieving a successful integration and uptake of vaccination/immunization is anchored on driving demand generation, social mobilization, health education, availability of healthcare workers, integrated supervision, and financing.

The Effect of Personal Selling, Social Media Advertising and Sales Promotion on Purchasing Decision

Telkomsel Orbit is a product that provides an internet network that can be used anytime and anywhere, thereby attracting consumer interest. The company continues to market and develop this product so that it can continue to compete with other similar products, including by implementing several marketing methods which will be studied in this research. This study seeks to examine the impact of the independent variables, namely (X1) Personal Selling, (X2) Social Media Marketing and (X3) Sales Promotion on the dependent variable (Y1) Purchasing Decisions. This study uses quantitative data collected based on filling out questionnaires carried out by 330 respondents who are users of Telkomsel Orbit products in the Central Sumatra Region. Sampling was carried out by purposive sampling. Data analysis was conducted using Structural Equation Modeling (SEM) techniques via the SmartPLS application. Statistical results show that the independent variables, such specifically as (X1) Personal Selling, (X2) Social Media Marketing and (X3) Sales Promotion have a positive and substantial effect on the dependent variable (Y1) Purchase Decision resulting in an R-Square featuring the value of 0.267 or 26.7%. The Telkomsel Orbit marketing team is expected to continue to improve and evaluate the application of personal selling, social media marketing and sales promotions to influence consumer decisions in choosing Telkomsel Orbit products. The application of personal selling is considered the most effective in this research, so it is hoped that optimization of human resources and abilities in forming relationships with consumers will continue to be carried out. Likewise, sales promotions must be carried out more massively to be able to continue to compete with other competitors, because the best and most attractive price offers or sales promotion methods will be superior in influencing purchasing decisions. Meanwhile, social media marketing continues to be optimized, especially facing the digital world, where information is disseminated via the internet or social media, so content is needed with information content that can attract consumer interest in products.

The Influence Of Service Failure Severity On Brand Forgiveness Study On Telkomsel Users

The aims of this study are: (1) To determine the service failure severity from internet network issues according to Telkomsel users; (2) To determine the influence of service failure severity from internet network issues on brand forgiveness of Telkomsel users; and (3) To determine the influence of service failure severity from internet network issues on each brand forgiveness dimension of telkomsel users. The study used an online survey to collect data. The sample size for this study was 100 respondents. Data analysis was conducted using mean analysis and PLS-SEM. Research Findings: The study findings indicate that: (1) the service failure severity from internet network issues, according to Telkomsel users, is categorized as high; (2) the service failure severity from internet network issues has a significant negative influence on the brand forgiveness of Telkomsel users; (3) the service failure severity from internet network issues has a significant negative influence on each brand forgiveness dimension (cognitive, affective, behavioral) of Telkomsel users. This study simplifies the research conducted by Alnawas et al. (2023) by focusing only on two main variables, service failure severity and brand forgiveness, in order to provide a more focused and in-depth understanding of the relationship between severity of service failure and brand forgiveness

Development of the "Mother Give Me Exclusive Breastfeeding" e-booklet based on Android as a nutrition educational media

Undernutrition is one of the most serious and least addressed challenges worldwide. The significant relationship between this condition and children's feeding practices makes exclusive breastfeeding an early and appropriate intervention. Therefore, this study aimed to develop health promotion media in the form of an Android-based booklet titled "Mother Give Me Exclusive Breastfeeding".The development method model adopted was ADDIE (Analysis, Design, Development, Implementation, Evaluation). A total of 20 mothers of toddlers participated in product feasibility testing.The results showed that the product had an average total percentage of 80%, signifying high suitability for usage. The study subjects rated the E-Booklet very positively, showing great enthusiasm for engaging with the content presented in the "Mother Give Me Exclusive Breastfeeding" E-Booklet.In conclusion, further study was needed to maximize the role of this product in enhancing mothers' understanding of exclusive breastfeeding and ensuring access to facilities such as gadgets, technology devices, and internet or wifi networks.

Blended Learning: Analysis of University Student Learning Motivation for Citizenship Learning Courses in Elementary Teacher Education

The COVID-19 pandemic highlighted the need for ongoing education, prompting the education sector to seek alternatives to solely online learning. One of the steps that this university has taken is to combine the benefits of face-to-face and online learning through the use of technology, which is called blended learning. This study aims to assess the extent of student motivation for learning in a mixed learning environment in the Citizenship Learning course within the Elementary School Teacher Education department at UIN Sunan Kalijaga, Yogyakarta. This study employs a mixed method approach, with a sample size of 30 students as participants. Data for the study was acquired via observations, interviews, and questionnaires. The study results showed that the level of university student motivation towards Citizenship Learning through blended learning was 63.72% with a high category. This study showed that students’ learning motivation remains strong when using blended learning despite challenges like internet network reliability, device availability, and implementing appropriate learning methodologies.

Study protocol of a proposed Neurofeedback-Assisted Mindfulness Training Program on symptoms of anxiety and psychological distress associated with smartphone use in young adults: a randomized controlled trial.

Nomophobia is a specific phobia characterized by the appearance of anxiety, nervousness, discomfort and distress when the mobile phone is not used and is considered an emerging public health problem because of the negative consequences on the physical and mental health of young people and adolescents, especially women. Neurofeedback-Assisted Mindfulness Training Programs may prove beneficials for improving self-control abilities, a key ability in addressing addictive behaviors. The main objective of this study is to evaluate the impact, in a young population aged 18-35 years, of an intervention based on Neurofeedback-Assisted Mindfulness Training Program (NAMTP) on disorders associated with problematic use of mobile phones. The effect of the intervention on the total score in the nomophobia test and habits of internet and social network use, as well as on signs of depression, anxiety and stress will be analyzed. As a secondary objective, the effect of the intervention on signs of insomnia will be analyzed. Randomized, controlled clinical-trial with two-parallel groups. 40 young adults (18-35 years) will be included and randomly assigned to Intervention Group-NAMTP or Control Group (CG). The NAMTP will include a total of 25 sessions (2-3/week) during 3-months. Each session will have a duration of 10/15 min. The instrument to be used for the neurofeedback sessions is MUSE® (InteraXon Inc.). Study variables will be collected at the baseline visit and at the final visit (3-months after randomization). During these visits, questionnaires will be administered to evaluate the main and secondary variables that will include the Smartphone Addiction Scale-Short Version, Nomophobia Questionnaire, Depression, Anxiety and Stress Scale 21-item (DASS-21) and Athens Insomnia Scale. This trial will make an important contribution to the need for evidence of effective education programs and other primary care interventions through new non-invasive interventions in reducing the risk of developing addictions to new technologies and alleviating the symptoms of discomfort associated with this problem. The project was approved by the Clinical Research Ethics Committee of the Salamanca Health Area (CEIm Code: PI 2023 071340). ClinicalTrials.gov, http://www.Clinicaltrials.gov/ct2/show/NCT06188910.

Pengaruh Literasi Keuangan Syariah, Religiusitas, Inklusi Keuangan Syariah, Layanan Digital M-Banking Terhadap Keputusan Menabung Gen Z. Studi Kasus Nasabah BSI Jabodetabek

Islamic finance is a financial system based on the principles of Islamic sharia, which prohibits usury (interest), speculation, and investment in businesses that are considered haram. This financial system offers various products and services, such as savings, investment and financing, which are in accordance with sharia principles. In Indonesia, sharia financial institutions have developed rapidly and have become a choice for people who want to use financial services in accordance with sharia principles. Generation Z, which is a group born between the mid-1990s to the early 2010s, is known for its high technological skills and strong sharia financial values, resulting in an understanding of sharia finance and the application of these principles in financial decision making, including Saving money is important. This study aims to identify the influence of sharia financial literacy, religiosity, sharia financial inclusion, and digital m-banking services on Generation Z's saving decisions, with a focus on Bank Syariah Indonesia (BSI) customers in the Jabodetabek area. This type of research uses a quantitative approach with a sample of 135 respondents. The data analysis used is SEM-PLS assisted by the smartPLS 3 application. The results of this research show that Sharia Financial Literacy, Sharia Financial Inclusion and Religiosity have a positive and significant influence on Gen Z's Saving Decision, while the Digital Banking Services variable has no significant influence on Saving Decisions. Gen Z. This is due to several factors, including low literacy levels and internet network problems or being far from the city center.