Jurnal Indonesia Sosial Teknologi (JIST)
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1322 research outputs found
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Causal Loop Diagram Model of the Owner's Critical Role in the Success of Port Infrastructure Design-Build Projects
The complexity and dynamics of Design-Build projects require stakeholders in the Construction Industry to better understand each party's roles and responsibilities to achieve success. The criterion of project success and the factors affecting it is a dynamic mutual relationship. This study proposes a causal loop diagram model to provide an overview of the influence of the Owner's role in achieving the Port Infrastructure Design-Build project's cost, time and quality success. Research variables were obtained through in-depth literature studies and interviews with project owners and project practitioners experienced in design-build projects
Assessment of the Success of Digital Signature and Stamp Implementation in the National Economic Rescue (PEN) Application System at Credit Insurance Companies in Indonesia
Utilization technology in sector industry non-bank finance in Indonesia is increasingly widespread, including in the guarantee credit of state-owned companies. The company uses System Application Guarantee for transaction guarantee credit with produce Certificate Guarantee as proof of approval. The request can be active in the context of the COVID-19 pandemic and the Indonesian government's efforts to implement the company's National Economic Recovery (PEN) program guarantee. Implementation feature sign hand and digital stamp on the System Application PEN underwriting allows provision of document Guarantee Certificate in the form of legal and supportive softcopy restrictions contact physique during a pandemic. Study This aim is to measure the successful implementation features of the success models by Delone and McLean and analyze the connection between variables in research. The benefits cover assessment, evaluation, and strategy-based results evaluation using feature sign hand and digital stamp. Delone and McLean's original model was modified to eliminate variable intention to use. The research was conducted by analyzing the results of questionnaires from 108 officials' user systems throughout Indonesia. Process of data analysis using the method of Partial Least Square with device SMARTPLS software. Research results prove that quality systems will influence the satisfaction of future users who will be influential to benefit clean from the feature sign hand and digital stamp on the System Application PEN Guarante
Differences The Incidence of Hyperuricemia in Families with Gouty Arthritis and Families Without Gouty Arthritis in Buleleng Regional General Hospital, Bali, Indonesian
The most common manifestation of hyperuricemia is gout. Hyperuricemia is the leading cause of gout. It is about five times more common than gout. The heritability of hyperuricemia and gout is about 73%, and 40-50% of patients have a family history of gout. Indonesia, especially Bali, has a high prevalence of hyperuricemia in families with gout at 26.6%. Therefore, we performed this study to look for differences in the incidence of hyperuricemia in families with gouty arthritis and families without gouty arthritis. In an unpaired case-control study, which is the target population is Balinese, the target population is Balinese individuals with gouty arthritis who come to the Internal Medicine Polyclinic of Buleleng Regional General Hospital. The controls in this study were Balinese individuals without gouty arthritis; there were 41 samples who made a pedigree and checked serum uric acid at one time. Of the total 41 case-control samples used, the incidence of hyperuricemia in families with gouty arthritis is 65.9%, and in families without gouty arthritis, is 29.3%, with an Odd Ratio (OR) value of 2.25 with a 95% confidence interval, p-value = 0.002. There were differences in hyperuricemia incidence in families with gouty arthritis and families without gouty arthritis with a p-value = 0.002. Hyperuricemia in families with gouty arthritis is 2.25 times (OR) higher than in families without gouty arthritis
Analysis of Kinang Jingkion Material as Road Subbase Layer Using Soil Cement Method
This research aims to analyze the California Bearing Ratio (CBR) and Unconfined Compressive Strength Test (UCS) values as road foundation layers using local materials, namely Kinang Jingkion. The soil and Kinang Jingkion materials for the study were taken from the Apalapsili quarry in Yalimo Regency. Additionally, the additive or soil stabilizer used was matos obtained from the testing of soil characteristics, including sieve analysis or gradation, Standard Proctor Test for light density, and liquid limit test. After testing, it was found that the soil from the Apalapsili quarry is granular soil and can be categorized as A-1-a according to SNI 03-6797-2002. Subsequent testing involved CBR and UCS testing on Mix Designs made of soil and cement with concentrations of 4%, 6%, and 8%. Next, additional Mix Designs were created with compositions of Kinang Jingkion, soil, cement at 4%, 6%, and 8%. Further Mix Designs included compositions of Kinang Jingkion, soil, matos at 2%, and cement at 4%, 6%, and 8%. From the UCS testing results, Mix Designs with soil and cement concentrations of 4% and 6% did not meet the compressive strength criteria, with compressive strength values of 9.26 Kg/Cm² and 17.4 Kg/Cm² respectively. According to SNI 6887-2012, the compressive strength value after 7 days of immersion should be within 25-35 Kg/Cm², while other Mix Designs met the criteria of SNI 6887-2012. CBR testing also utilized the same Mix Designs, and the highest CBR result was obtained from the Mix Design with compositions of Kinang Jingkion, soil, cement at 8%, and matos at 2%, with a CBR value of 112%. According to the 2018 Revised General Specifications, a CBR value of 112% indicates a Class A Foundation Layer
Quality Perception of Spotify's Purchase Intentions in Indonesia
This study investigates the correlation between perceived quality and purchase intention within the domain of music streaming services, focusing on Spotify. Employing a quantitative-descriptive approach, the research utilizes surveys for data collection and employs simple linear analysis to scrutinize the relationship between independent and dependent variables. The results underscore a statistically significant positive influence of perceived quality on purchase intention
Analysis of Barrier and Driver Factors to Risk Monitoring and Control Implementation in Construction Projects
Construction projects inherently involve risks. If proper risk management practices are not employed, the likelihood of cost overruns can reach more than 80%. Risk monitoring and control are essential processes in risk management; however, their implementation is inadequate in construction projects. This research analyzed the main barriers and drivers for implementing risk monitoring and control in construction projects. A questionnaire survey was conducted using a Likert scale to measure respondents' perceptions. Data were collected from 71 respondents: top management, project managers, project risk managers, and risk officers. This study employs descriptive analysis and factor analysis to achieve the objectives. The results indicate that the 19 identified barriers to risk monitoring and control were categorized into 4 main factors: lack of practice, lack of risk awareness, lack of incentives and having difficulty finding methods, and misperceptions about risk monitoring and control. Meanwhile, the 21 drivers were categorized into 5 main factors: management support, tools and information technology, organizational structure and communication, external environment, assigning responsibility, and contingency reserve
Optimization of Early Detection of Tuberculosis: Use of Multilayer Perceptron and Extreme Learning Machine with Clinical Data
This research takes an innovative step in the fight against Tuberculosis (TB), one of Indonesia's prominent public health challenges, by developing and evaluating Multilayer Perceptron (MLP) and Extreme Learning Machine (ELM) models in machine learning for early detection of TB using clinical data. The main result of this study was the discovery that the MLP model, when applied without the Synthetic Minority Over-sampling Technique (SMOTE), achieved an impressive accuracy of 95.00%, signaling significant progress in TB early detection efforts. This discovery not only highlights the great potential of applying machine learning technology in improving the accuracy of TB diagnosis but also paves the way for the possible application of advanced technology in the health sector to deal with infectious diseases. This research illustrates how machine learning technology can be integrated into clinical practice to effectively detect TB cases at an early stage, thus enabling faster and more precise treatment, which can ultimately reduce the spread of the disease. This is particularly important given TB's significant impact on public health, especially in developing countries. The results also open up opportunities for further research into the application of machine learning techniques to other infectious diseases, promising a paradigm shift in the way we detect and manage various health conditions
Job Satisfaction in the Workplace Systematic Literature Review (SLR)
Job satisfaction and employee performance have become a significant research focus in management globally. It is a crucial concern for organisations to evaluate individual achievements in the context of work. Employee performance evaluation is based on their ability to execute their tasks in a way that contributes to achieving organisational goals and creates satisfaction within the scope of their work. This research applies a Systematic Literature Review (SLR) methodology that integrates several previous studies for further analysis. Through a preliminary study, articles in reputable journals, such as the Scopus database index, were selected and compiled. The findings highlighted that employees' attitudes and performance in the work environment are influenced by their level of satisfaction with their jobs. This systematic literature review provides an up-to-date overview of job satisfaction and employee relations. In analysing 24 published articles, it was found that the main factors influencing job satisfaction include human resources, employee relations, and work environment. In addition, the articles proposed various ways to improve job satisfaction, such as performance improvement, job security, and leadership
Implementation of Civil Servant Competency Development in Improving Public Services in Bogor City Based on Perwal No. 78/2012
The Bogor City Regional Government intends to provide legal certainty in the relationship between the community and organizers of public services through Bogor City Regulation No. 78 of 2012 concerning the Implementation of Public Services within the Bogor City Government. The methods used in this study are a normative juridical approach that emphasizes literature research, namely examining legal materials obtained from literature research only, and do not require the preparation or formulation of hypotheses. Results Optimal public services can be created if the implementing apparatus receives sufficient competency development as mandated by Article 203 Paragraphs (3) and (4) Government Regulation No. 17 of 2020 concerning Amendments to Government Regulation No. 11 of 2017 concerning Management of Civil Servants. Based on the rights of civil servants as explained above and the results of previous research, there are contradictions in the implementation of civil servant competency development which make it not optimal, which should be suspected. Conclusion of human resource development that pays attention to the competency aspect produces elements of a quality, consistent, effective working relationship, the achievement of organizational goals, and the organization continues to exist in a competitive business environment and is also associated with the theory of public service which is a series of activities in order to meet service needs by laws and regulations for every citizen and resident of goods, services, and/or administrative services provided by public service providers
Analysis of the Influence of MyTelkomsel App as a Digital Touch Point on Digital Business Performance at PT. Telkom Indonesia
In the digital era, digital transformation is a must for companies to compete. PT. Telkom Indonesia introduces the MyTelkomsel app as a digital touch point. This study aims to analyze the influence of the MyTelkomsel application on Telkom's digital business performance. The research method used is quantitative descriptive with a literature study approach. The research data was collected from two main sources, namely literature studies and analysis of the company's financial statements. The results of the study show that the MyTelkomsel application has a positive influence on Telkom's digital business performance. This is evidenced by the increase in the number of MyTelkomsel App users, customer satisfaction, and company revenue