Sfenrianto Sfenrianto

The banking industry is increasingly shifting toward the advanced use of information technology (IT) to enhance customer service. It is important for the audience to be able to get satisfaction when using banking services. In this case, there are several factors that will impact user satisfaction when using the application. The study's objectives are to examine how system quality affects client satisfaction with the ITSM application at bank XYZ; how user satisfaction with the ITSM application for clients at bank XYZ is impacted by the quality of the information; how client satisfaction with the ITSM application at bank XYZ is impacted by service quality; and how client ITSM application at bank XYZ is impacted by a green IT attitude toward satisfaction. The research employs a quantitative approach, utilizing SEM PLS analysis. The result shows that the system quality has a positive and substantial impact on user satisfaction with a p-value of of 0.021 < 0.05; the information quality has a positive and significant impact on user satisfaction with a p-value of 0.000 < 0.05; the service quality has a negative and significant impact on user satisfaction with a p-value of 0.044 < 0.05; and green attitude has a positive impact on user satisfaction with a p-value of 0.000 < 0.05. The research results indicate that system quality, information quality, and green attitude positively influence user satisfaction, whereas service quality negatively influences it.

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.

The lung disease diagnosis expert system utilizes human knowledge to diagnose various conditions affecting the lung. Diseases caused by fungal or bacterial infection in the organ can cause inflammation as well as death when it is not detected on time. A standard method to diagnose these conditions is the use of a chest X-ray (CXR), which requires careful examination of the image by an expert. In this study, several CNN and SVM architectural models were proposed to classify CXR images to diagnose whether a person has COVID-19, Viral Pneumonia, Bacterial Pneumonia, Tuberculosis (TB), and Normal. The experiment showed that InceptionV3 had the best results compared to other CNN architectures and SVM. Classification accuracy, precision, recall, and f1-score of CXR images for COVID-19, Viral Pneumonia, Bacterial Pneumonia, TB, and Normal were 0.86, 0.91, 0.91, and 0.91, respectively. This study was based on a deep learning system with different CNN and SVM architectures that can work well on the CXR images dataset for diagnosing lung disease.

A Human Resources Management (HR) survey shows that 95% of 541 HR professionals use LinkedIn to recruit passive candidates. Thus, LinkedIn users are increasingly professionalizing their profiles. However, data found that as many as 87% of people on LinkedIn use fake identities. It aims to add a connection with other companies in a way that looks professional. This study aims to determine the effect of the LinkedIn profile on individual success in getting a job because it is based on the high number of fake accounts. This study used a quantitative method, data collection was carried out in the form of a questionnaire and distributed over 20 days to 100 people. This study used a Likert scale. There are 5 Likert scale categories for answer choices: strongly disagree, disagree, neutral, agree, and strongly agree. This research model consists of 6 hypotheses, namely: The effect of profile on connection; The effect of interaction on connection; Profile influence on LinkedIn usage; the effect of interaction on LinkedIn usage; the effect of connection on LinkedIn usage; The influence of using LinkedIn on success in getting a job. The hypothesis is accepted if the T Statistics value is > 1.96. Based on calculations with the 6 hypotheses, the results are all correct except for the effect of connection on LinkedIn, for an assessment <1.96 with a total of 1,078. Then it was found that the most positive effect was in the effect of using LinkedIn on success in getting a job with a statistic of 10,159.

Bank adalah badan usaha yang menghimpun dana dari masyarakat dalam bentuk simpanan dan menyalurkannya kepada masyarakat dalam bentuk kredit dan atau bentuk - bentuk lainnya dalam rangka meningkatkan taraf hidup masyarakat. Perkembangan bisnis perbankan digital saat ini merupakan salah satu agenda penting dalam industri Perbankan Indonesia. Kebutuhan akan transformasi menjadi prioritas utama bagi perusahaan, agar lebih agile dalam pasar yang berubah dengan cepat. Penggunaan technology informasi pada Bank telah mengubah pola pikir masyarakat dalam bertransaksi. Hal ini berdampak pada digitalisasi pembukaan rekening. Masyarakat dapat dengan mudah membuka rekening dimana saja dan kapan saja. Seiring dengan kemudahan pembukaan rekening digital, perlu diperhatikan tingkat kepercayaan yang diakibatkan dari penggunaan aplikasi tersebut. Saat ini, Bank dengan modal inti tertinggi yaitu tiga puluh tirilun rupiah telah menerapkan pembukan rekening secara online. Penelitian ini menganalisis sistem kepercayaan (trust) nasabah terhadap system quality dan service quality dengan Metode PLS-SEM dan hasil penelitian ini diharapkan bisa mengetahui sejauh mana kepercayaan nasabah setelah menggunakan pembukaan rekening secara online.

The success of learning in a classroom that uses supporting media demands lecturer activity. The level of activity of lecturers in class and using learning media such as Smart lecturer can be measured using a fuzzy logic approach. This study aims to measure the level of active lecturers using the approach, namely: Mamdani and Sugeno method. Stages of lecturer activity measurement by forming a fuzzy set, composition rules as many as 24 rules and the defuzzification process using the centroid method that produces the level of activity of each is low, medium and high. Based on 173 lecturer activity data, the results of the Mamdani method indicates low 66%, medium 31%, and high 3%. While the Sugeno method produces a level of activity low 75%, moderate 17%, and high 8%. Therefore, Mamdani method is more suitable for the calculation because the spread of results is relatively evenly distributed at each level.

The purpose of this study is to identify the factors that influence people to shop online at Shopee based on e-business value creation. There are many online marketplaces available in Indonesia, with Shopee being one of the fastest growing e-commerce players in Indonesia. This research aims to find out Shopee’s customers demographic, and e-business value creation factors that influence consumers’ intention to shop online using Shopee. Based on the data collected, the majority of Shopee’s customers are in the 25-34 years old and 35-44 years age old group, and on average they spend less than 1 million Rupiah per month at Shopee. Out of all factors in the e-business value creation, the research shows that all factors (Complementarities, Lock-In, Novelty, and Efficiency) positively affect intention to use Shopee.

Searching for data or documents that are always a necessity in the world of education, work, research an others requires convenience so that time efficiency occurs. This is supported by the emergence of various Information Retrieval system applications, one of which is cata, which is built on the Java programming language and applies the Generalized Vector Space Model method which can search based on similar keywords. Other facilities need to be developed, one of which is by applying the stemmer porter algorithm applied to the WTS (Web Tokenization Stemming) web which is built with the laravel framework that can search data or documents simply by typing the basic words so that searches are easier and faster.

Speed and simplicity in the process of finding documents and information have become a necessity in the campus library. The speed in finding a skripsi document that is currently still very long to find the data and more simple in displaying what you are looking for then we aim to search and find skripsi documents in a digital library at a private university in Jakarta more quickly and display what which is searched precisely. An approach is needed using the VSM method that encourages without complete keywords, and to see the effectiveness of research searches. The results of the VSM method can be applied for the development of prototype applications. The prototype used to facilitate the process of searching or finding the documents and information needed is fast and simple.

Traditional learning approaches in teaching English assume that learners have same background, ability, and requirements. In this study, we propose an adaptive learning systems-knowledge level (ALS-KL) is a learning system that can personalize materials due to proficiency level of English language learners. A pre-test is given to measure the proficiency level of learners. The level is divided into elementary, intermediate and advanced. The ALS-KL provides the most suitable materials according to the needs of the learners. We applied the proposed system on 90 learners with different English proficiency level. The effectiveness of the system was evaluated using post-test. The results of the post-test showed that the proposed system was able to improve learners with intermediate-level and advanced level 1.5 times and 4 times respectively while reducing the number of learners with elementary-level by more than 50%. These indicate the effectiveness of the proposed system.