Informatics Study Research Articles

Implementation of Docker Platform for Integration Of Thesis Information System And Web-Based Thesis Title Checking Information System In Informatics Study Program

The use of technology-based information systems not only improves operational efficiency but also enriches the learning and teaching experience. In this context, the management of theses, as an essential part of higher education programs, is one area that receives special attention. Based on the results of the observations, the Informatics Study Program registration process and scheduling of proposal seminars and final project trials are currently carried out conventionally. Meanwhile, the Informatics Study Program already has two previous systems, namely the thesis title checking system and the registration system and final project scheduling. However, they still need to be integrated and implemented on the server so the registration process is carried out conventionally. This study uses the Docker platform to discuss integrating the thesis information system and title-checking system in the Informatics Study Program at the Sumbawa University of Technology. The main goal is to improve operational efficiency and user experience, especially for students and teaching staff. This study covers various steps through the Software Development Life Cycle (SDLC) approach and qualitative methods, from analyzing the running system and proposals to implementing Docker as a containerization platform. This integration brings significant changes, uniting the thesis title-checking and registration processes in one integrated platform. The results show increased administrative efficiency, more accessible access, and more focused use. However, this study also encourages further development for system maintenance, data security, and improvements according to user feedback to improve system functionality and resilience in the future.

A Comparison of Welch Powell Algorithm and Greedy Algorithm in Odd Semester Lecture Room Scheduling Optimization Faculty of Computer Science

Scheduling is a systematic method to optimize work time, and avoid failure when problems occur. Scheduling is widely applied in the world of education, one of which is in preparing course schedules. Scheduling itself needs to be optimized to ensure a smooth lecture process without any problems between courses. As happened at the Faculty of Computer Science, Amikom Purwokerto University, where in the preparation of the schedule there is no information about lecture rooms. Therefore, the author compiled a lecture hall scheduling optimization journal by comparing the performance between the Welch Powell Algorithm and the Greedy Algorithm as optimization and graph coloring on the lecture hall schedule.The data used in this study are 88 courses spread across 3 study programs, namely Informatics Study Program, Information Systems Study Program, and Informatics Engineering Study Program. This research uses a comparative method on graph vertex coloring, where execution time as duration, lines as algorithm complexity, and manual algorithm calculation as parameters. Based on the research that has been done, the results of 14 full spectrum colors are obtained which are then applied to 23 lecture rooms that can be used without clashes at the Faculty of Computer Science. This can minimize the possibility of overlapping room usage between courses. In addition to comparing the performance of the Welch-Powell Algorithm and the Greedy Algorithm to produce optimal scheduling of lecture rooms, this research can also optimize the schedule of lecturers when entering class to optimize students to be more organized in entering lecture classes at the Faculty of Computer Science, Amikom Purwokerto University.

A commentary on 'Comparative investigation of neoadjuvant immunotherapy versus adjuvant immunotherapy in perioperative patients with cancer: a global-scale, cross-sectional, large-sample informatics study'.

A commentary on 'Comparative investigation of neoadjuvant immunotherapy versus adjuvant immunotherapy in perioperative patients with cancer: a global-scale, cross-sectional, large-sample informatics study'.

Empowering ESP Students Through a Scientific Approach: Unveiling the Impact on Engagement and Reading Comprehension Achievement

This study is anchored in the constructivist theoretical perspective, which emphasizes the active role of learners in constructing knowledge through interaction and experience. It aims to investigate the efficacy of a scientific method in improving reading comprehension and student engagement among Informatics Study Program students at Universitas Jenderal Achmad Yani Cimahi, Indonesia. The study utilizes a mixed-methods research design to assess the effectiveness of traditional lecture methods and the scientific approach in enhancing reading achievement. The study was conducted at Universitas Jenderal Achmad Yani Cimahi in West Java and involved 68 second-semester students enrolled in the Informatics Study Program, with a specific focus on the English Practicum course. The results of the research found that the scientific approach led to better reading comprehension and higher engagement levels compared to traditional lectures. However, when comparing the two methods, the statistical analysis showed no significant difference between them, suggesting that the impact of the scientific approach may vary. The study also found the value of student-centered, evidence-based teaching methods for improving educational outcomes in English for Specific Purposes (ESP) settings. The study emphasizes the necessity of employing adaptable, empirically supported teaching methods to address a wide range of learning requirements and enhance educational achievements. Although the study has limitations that are specific to its environment and relies on data provided by the participants themselves, the findings strongly support a wider adoption of scientific approaches in teaching reading comprehension.

Looking into EFL Students’ Intercultural Awareness and Its Relation with Varying Social Media Exposure and Reading Ability

With explosive growth of technology and globalization, seeing vastly different culture has become part of our daily life as seen in social media. Students’ social media exposure is closely related to their reading activity. Thus, great reading ability leads to great intercultural awareness. This study aimed to investigate EFL students’ intercultural awareness and its relation with varying social media exposure and reading ability. The quantitative study employed ex-post-facto design, with participation of 183 EFL students purposively recruited from Informatics Study Program in a private univerisity in Jakarta, Indonesia. The data collected using online questionnaires and reading tests were analyzed using SPSS 27. With this software, descriptive statistics were made to compare means, percentages, and standard deviations of students’ intercultural awareness. Paired-samples t-tests were run to find out a significant difference in participants’ intercultural awareness by varying social media use and reading ability. The results revealed EFL students’ high intercultural awareness with no significant difference found in students’ varying social media use and with a significant difference found in students’s varying reading ability. In conclusion, EFL students’ intercultural awareness is influenced significantly by their reading abilities rather than their social media exposure.

The application of naive bayes method for final project topic selection within the project-based learning framework in the data mining course

<p>This study aims to explore the potential application of the Naive Bayes Method in predicting the determination of final project topics for students within the context of project-based learning (PBL) in the Data Mining course. Adopting an observational quantitative approach, the research involved 34 students from the Educational Technology Informatics Study Program at Padang State University between 2013-2015 as research subjects. The sampling technique employed was stratified random sampling, aligning with the research findings. The study's results indicate that the Naive Bayes Method is proficient in providing accurate predictions concerning the determination of final project topics, with significant accuracy, precision, and recall values. Moreover, the integration with project-based learning (PjBL) approach effectively enhances the authenticity and relevance of the learning experience for students, further substantiating the effectiveness of Project-Based Learning (PjBL).</p>

Implementasi Framework Laravel Pada Sistem Informasi Fakultas Teknik Universitas Andi Djemma Palopo Berbasis Website

Information System applications are important tools to support the management of information and administration given the rapid development of technology (gadgets) today, for this reason research and development of Archiving applications with a case study of Andi Djemma University Palopo Informatics Study Program. The method used in this research is a method that produces new products from the results of the research itself, namely R&D or research and development with the RAD development model. The results of this study found that: Website-Based Faculty of Engineering Information System Application in its manufacture using Visual Studio and in the software development process using the RAD method and in its design using UML, In this study produced an application that is able to provide convenience for students and the Study Program in accessing and presenting archiving information, This application has been running stably, and is easily understood by students as evidenced by the results of a questionnaire distributed by the author to respondents who scored 77% based on the conversion table this application is categorized as very feasible.

Aplikasi Pengarsipan Data Administrasi Mahasiswa Pada Program Studi Teknik Informatika Berbasis Website

The Archiving System application is an important tool to support the management of information and administration given the rapid development of technology (gadgets) today, for this reason research and development of Archiving applications with a case study of the Andi Djemma University Palopo Informatics Study Program. The method used in this research is a method that produces new products from the results of the research itself, namely R&D or research and development with the RAD development model. The results of this study found that: Website-based Student Administration Data Archiving Application of Informatics Engineering Study Program in its manufacture using Visual Studio and in the software development process using the RAD method and in its design using UML, In this study produced an application that is able to provide convenience for students and the Study Program in accessing and presenting archiving information, This application has been running stably, and is easily understood by students as evidenced by the results of a questionnaire distributed by the author to respondents who scored 83% based on the conversion table this application is categorized as very feasible.

Visualizing Study Profiles Using the GMDS Competency Catalog for Medical Informatics Programs.

Medical informatics programs cover a variety of topics. To test the utility of the GMDS medical informatics competency catalog in comparing programs by developing study profiles. Coverage of 234 competencies is recorded and visualized in a spider diagram. Spider diagrams allow visualizing various study profiles. The GMDS catalog seems useful for comparing medical informatics study programs, e.g., for interested students, employers, or accreditation reviewers.

Comparative investigation of neoadjuvant immunotherapy versus adjuvant immunotherapy in perioperative patients with cancer: a global-scale, cross-sectional, and large-sample informatics study.

Neoadjuvant and adjuvant immunotherapies for cancer have evolved through a series of remarkable and critical research advances; however, addressing their similarities and differences is imperative in clinical practice. Therefore, this study aimed to examine their similarities and differences from the perspective of informatics analysis. This cross-sectional study retrospectively analyzed extensive relevant studies published between 2014 and 2023 using stringent search criteria, excluding nonpeer-reviewed and non-English documents. The main outcome variables are publication volume, citation volume, connection strength, occurrence frequency, relevance percentage, and development percentage. Furthermore, an integrated comparative analysis was conducted using unsupervised hierarchical clustering, spatiotemporal analysis, regression statistics, and Walktrap algorithm analysis. This analysis included 1373 relevant studies. Advancements in neoadjuvant and adjuvant immunotherapies have been promising over the last decade, with an annual growth rate of 25.18 vs. 6.52% and global collaboration (International Co-authorships) of 19.93 vs. 19.84%. Respectively, five dominant research clusters were identified through unsupervised hierarchical clustering based on machine learning, among which Cluster 4 (Balance of neoadjuvant immunotherapy efficacy and safety) and Cluster 2 (Adjuvant immunotherapy clinical trials) [Average Publication Year (APY): 2021.70±0.70 vs. 2017.54±4.59] are emerging research populations. Burst and regression curve analyses uncovered domain pivotal research signatures, including microsatellite instability (R 2 =0.7500, P =0.0025) and biomarkers (R 2 =0.6505, P =0.0086) in neoadjuvant scenarios, and the tumor microenvironment (R 2 =0.5571, P =0.0209) in adjuvant scenarios. The Walktrap algorithm further revealed that 'neoadjuvant immunotherapy, nonsmall cell lung cancer (NSCLC), immune checkpoint inhibitors, melanoma' and 'adjuvant immunotherapy, melanoma, hepatocellular carcinoma, dendritic cells' (Relevance Percentage: 100 vs. 100%, Development Percentage: 37.5 vs. 17.1%) are extremely relevant to this field but remain underdeveloped, highlighting the need for further investigation. This study identified pivotal research signatures and provided substantial predictions for neoadjuvant and adjuvant cancer immunotherapies. In addition, comprehensive quantitative comparisons revealed a notable shift in focus within this field, with neoadjuvant immunotherapy taking precedence over adjuvant immunotherapy after 2020; such a qualitative finding facilitate proper decision-making for subsequent research and mitigate the wastage of healthcare resources.

Pelatihan Keamanan Data Pada Penggunaan Microsoft Office Bagi Guru di SDIT Mutiara Bekasi

Information Technology Security is increasingly advanced, not only in the world of the manufacturing industrybut also penetrates the world of education. This forces educators to be able to develop their abilities to know howto secure data in Ms.Office. Therefore, as a manifestation of Bhayangkara Jakarta Raya University's commitmentto carrying out the Tri Dharma of Higher Education in community service, the Informatics Study Program carriedout activities with the theme "Data Security Training on the Use of Ms.Office at SDIT Mutiara" as an effort toapply knowledge about information technology security. At the moment. The purpose of this training is to increaseknowledge and insight for participants in terms of Data Security at Ms. Office, as well as providing training tomake data security and broaden knowledge of the use of Ms. Office for teachers of SDIT Mutiara. The materialprovided in this training is in the form of an introduction to the concept of Data Security, types of software inmaking teaching materials with Ms. office. The methodology for carrying out this activity begins with datacollection, determining the theme of the service to be given, literature study, making training materials, presentingtraining. The result of this training is an increased understanding of data security by 97%. From the data securitytraining activities in Microsoft Office that have been carried out for teachers and administrators of SDIT MutiaraBekasi, it can be seen that the participants were very enthusiastic and motivated to do security for their data sothat during the training the participants did not feel bored with the material delivered by the tutor.

A Reconstitution of the Face of the French Bayard Knight (1473?-1524) Based on DNA Analyses and on Informatics Study of his Official Portrait

A Reconstitution of the Face of the French Bayard Knight (1473?-1524) Based on DNA Analyses and on Informatics Study of his Official Portrait

A molecular informatics and in-vitro approach to evaluate the HMG-CoA reductase inhibitory efficacy of monoterpenes, carvacrol and geraniol

Currently, statins, the β-hydroxy-β-methyl-glutaryl-CoA reductase (HMG-R) inhibitors, are widely used to lower cholesterol, nevertheless, they have several side effects. Consequently, the present study is designed to unravel the cardioprotective role of selected natural monoterpenoids (carvacrol and geraniol) via in-vitro targeting and molecular informatics study of HMG-R. Computational molecular informatics study revealed that carvacrol and geraniol efficiently occupies the catalytic site of HMG-R with the binding affinity (ΔG) of −4.60, and −1.99 Kcal/mol, respectively, and molecular mechanical-generalized Born surface area (MM-GBSA) free binding energy was depicted as −17.05 and −29.48 Kcal/mol, respectively. Further, molecular dynamics simulation was carried out for 100 ns. Carvacrol and geraniol potentially and competitively inhibit the in-vitro HMG-R activity with an IC50 value of 78.23 ± 2.21 µM, and 72.91 ± 2.92 µM, respectively. Thus, both carvacrol and geraniol exhibited significant anti-hypercholesterolemic activity while the molecular simulation studies depicted that the GR complex showed better stability than the carvacrol complex.

Development of Augmented Reality Programming Language using Agile Scrum Methodology

The agile scrum methodology for augmented reality development increases project team efficiency. Private campus are frequently confronted with the dilemma of new students with various backgrounds that come not only from vocational high schools but also from high schools. First year students in the informatics study programme come not only from vocational informatics high schools, but also from high schools that specialize in social studies and languages. This is a difficult task in terms of imparting a comprehension of the fundamentals of programming. This study develops augmented reality in order to teach HTML and Javascript. By combining basic principles with gaming, the proposed augmented reality (AR) makes programming interesting. Players must comprehend their programming logic in order to be immersed in a virtual environment by answering coding bug questions. During usability testing, the System Usability Scale (SUS) assesses user happiness and AR knowledge. Participants from various programming backgrounds were tested on their knowledge of programming languages. According to usability research, 59% of people found AR programming languages useful for learning and understanding basic programming languages. AR and Agile Scrum make programming more enjoyable. This study demonstrates how augmented reality can be used to teach programming languages. These findings imply that Agile Scrum and AR methods can improve learning and programming foundations. More research and development could lead to more complete and complicated AR learning environments for programming instruction.

Prediksi Tingkat Kelulusan Menggunakan K-Means Pada Program Studi Informatika Unismuh Makassar

Predicting timely graduation brings numerous benefits not only to students but also to the university itself. Creating a graduation prediction model assists students and academic advisors in fostering a positive environment that encourages on-time graduation by developing a predictive model for graduation rates using the K-means data mining method in the Informatics study program at Universitas Muhammadiyah Makassar. This method is used to cluster students based on attributes such as total credits taken, semester Grade Point Average (GPA), and overall Cumulative Grade Point Average (CGPA). The clustering aims to identify patterns and characteristics of student graduation. Data from several semesters is collected and preprocessed, including data normalization and transformation. The research steps involve data preprocessing, cluster labeling, distance calculation to cluster centers, and result analysis. The analysis shows that the K-means method can generate student clusters with varying graduation rate patterns. The formed clusters can be interpreted as groups of students with potential for timely graduation or groups needing more attention to achieve on-time graduation. Empirical validation is performed by comparing K-means prediction results with actual graduation data. Accuracy measurement involves calculating the percentage of similarity between predictions and actual data. Empirical validation results demonstrate the accuracy level, which can serve as a benchmark for assessing the performance of this prediction model. This study aims to provide deeper insights into factors influencing student graduation and potentially support decision-making at the academic level. Keywords: Graduation Prediction, Data Mining, K-Means, Analysis, Clustering, Empirical Validation.

Extremes of baseline cognitive function determine the severity and outcomes of delirium: findings from a prospective longitudinal cohort study

AbstractBackgroundEpidemiological studies have shown the bidirectional relationship between dementia and delirium to be complex and non‐linear. This has implications for mechanistic studies investigating the extent to which any pathophysiology might be specific to delirium, or shared with dementia. While delirium is associated with long‐term dementia risk and cognitive decline, this association may be independent of classical Alzheimer’s pathology in oldest‐old patients.MethodThe Delirium and Population Health informatics (DELPHIC) study prospectively followed a population‐representative sample of 1510 individuals aged ≥70 years living in London, UK. We performed cognitive assessments at baseline, two years, and ascertained delirium symptoms during incident hospitalisation in 209 participants across 371 episodes.ResultBetter baseline cognitive function was generally associated with a lower likelihood of delirium. However, during delirium episodes, there was a U‐shaped relationship between baseline cognition and delirium symptom severity; participants with the lowest and highest baseline cognition experienced the most severe delirium and arousal deficits (baseline z‐score ‐2: mean MDAS 15; baseline z‐score +2: mean MDAS 11). At follow‐up, we observed the largest cognitive decline in participants with better baseline cognition experiencing delirium (2.2SD decline vs 0.8SD without delirium).ConclusionThese findings imply that delirium pathophysiology research should take into account differences in baseline cognition, for example by defining pre‐existing subclinical dementia pathology. We suggest the need for prospective, serial pathophysiological studies to consider the temporal sequence of delirium‐related neural damage. In this way, we could differentiate which mechanisms are unique to delirium, and which might interact with pre‐existing dementia pathophysiology to result in long‐term cognitive deficits.

Membangun Sistem Informasi Presensi Kuliah Berbasis NFC di Prodi Informatika Unjani Yogyakarta

The Unjani Yogyakarta campus, specifically the Informatics Study Program, currently relies on manual methods such as calling students individually or using journal book signatures for attendance. This approach has drawbacks, including flexible attendance time, time-consuming procedures, and potential disruptions to student focus during lectures. To address these issues, the author conducted research to develop a student attendance information system for the campus. The system utilizes a client-server architecture and incorporates NFC technology on Android smartphones and RFID cards. The research aims to establish fixed attendance times and enable digital attendance through Android devices. It also facilitates monitoring of lecture activities for program administrators by integrating mobile and web applications. The system, developed using JAVA for mobile clients and PHP with CodeIgniter and Bootstrap for the web server, was built using the Research and Development method. The resulting student attendance application streamlines the attendance process for program administrators and lecturers. However, it should be noted that the system relies heavily on an internet connection and can serve as an alternative for online classroom attendance.

ITB AAS Indonesia Informatics Study Program Value Information System

The Grade Management Information System (SIPAN) is a web-based grade information system in the ITB AAS Indonesia informatics study program which is used to support the activities of lecturers in conveying the grades of the courses taught, administrative officers in terms of grade recapitulation, student grade information which is private, and supports activities of the study program coordinator in monitoring the development of academic activities in terms of grades. The aim and objective of developing SIPAN is to assist higher education institutions in managing student grades. With web-based software, lecturers can submit student grades at any time within a predetermined time period and have an internet connection. Likewise with students, they can see their own grades anytime, anywhere, as long as they have an internet connection. The study program coordinator can monitor the extent to which lecturers at their home base match their grades. The expected final result will be the realization of a well-integrated information technology-based student grades management process, neat record keeping, and integration with the Attendance Information System.

The Role of Lecturers and Support of Educational Personnel and Student Understanding of Program Governance the Study Will Improve the Quality of the Study Program Services

The role of lecturers and support from educational staff as well as student understanding in improving study program services. The location of the activity is in the Informatics Study Program, Faculty of Computer Science, Bhayangkara University. The research method used is a quantitative method with a cause and effect relationship approach with a sample of respondents from 3 independent variables and 1 dependent variable. The sampling technique uses Proportionate Stratified Random Sampling so that it can be used proportionally according to groups or strata of the population or respondents. Analysis of the role of lecturers and support from educational staff as well as students' understanding of study program governance can improve the quality of study program services and have an impact on increasing accreditation scores. Research regarding the role of 3 (three) independent variables as discussion material is still rarely discussed in Study Program Governance. So it is necessary to consider whether students' understanding of the existence of study program services can improve the quality of study program services and will have an impact on increasing the value of study program accreditation.

Dungeon Code: Educational Game For Algorithm and Data Structure Courses by Applying The Game Development Life Cycle Method

Algorithm and Data Structure is a basic course in Informatics Study Program, at Khairun University. This subject needs to be mastered because it becomes the foundation that can support the learning process in the future. However, from the results of a survey conducted, as many as 40% of students felt bored with the teaching methods used by Algorithm and Data Structure lecturers in class. In addition, there were also 73.33% of students that even though they paid attention to the material presented in class, they still found it difficult to understand the material. To overcome this problem, new learning media is needed in the classroom, such as games. This study aims to design educational games that teach algorithms and data structures using the Game Development Life Cycle (GDLC) method. The GDLC is a game development method that is widely used to create educational games. The GDLC method has several development stages, namely initiation, pre-production, production, testing, beta, and release. Alpha test results show that all functionality is appropriate. While the results of beta testing show the number 3.43 of the total respondents' answers to the questionnaire related to game evaluation so they are included in the very good criteria.