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Depth perception is a crucial visual ability for humans to judge distance and understand three-dimensional space. However, the brain's distance estimation is not always accurate and is often influenced by external factors such as color. This study aims to examine in depth how orange color influences the acuity of human depth perception. The method applied is a Systematic Literature Review (TLS) by examining 8 research papers from repository data from Google Scholar and ScienceDirect databases ranging from 2007 to 2025. The results show that orange, as part of the warm color spectrum with a long wavelength, significantly creates an advancing color effect that makes objects perceived as closer than cool colors. The main findings reveal that orange provides superior visual acuity in low-light conditions and has a wide stereoscopic disparity range to help the brain map space. In conclusion, the color orange functions as an effective additional visual cue in strengthening spatial perception. The implications of this research are highly relevant for the development of Augmented Reality (AR) technology and visual safety design, where the use of orange can minimize distance estimation errors by users

The management of scientific works at the Faculty of Law, Universitas Jambi, is still carried out manually through physical archives and simple digital storage without an integrated information system. This condition causes limited access, slow information retrieval, and a high risk of document loss and damage. This study aims to develop a web-based scientific repository system to improve the efficiency, accessibility, and security of managing academic works. The system was developed using the Waterfall method, which consists of requirement analysis, system design, implementation, testing, and evaluation. Data collection was conducted through interviews, observations, and questionnaires involving librarians, lecturers, and students. The system was implemented using the Laravel framework with a MySQL relational database to support document storage, metadata management, access control, and search functionality. The results show that the developed repository system is able to facilitate the submission, verification, publication, and retrieval of scientific works effectively. User acceptance testing indicates that the system meets user needs in terms of usability, functionality, and accessibility. The implementation of this system contributes to improving academic information management and supports digital transformation at the Faculty of Law, Universitas Jambi.

Data security in web services is a critical aspect that must be considered to prevent information leakage and unauthorized access. This study aims to analyze the security level of the Universitas Andalas Repository site, specifically regarding its vulnerability to sniffing attacks due to the use of the unencrypted HTTP protocol. The research employs a penetration testing method with an experimental approach. The testing process is carried out in three main stages: reconnaissance using Nmap to identify the services and protocols in use, sniffing using Wireshark to capture and analyze data packets, and evaluation of results based on modern web security standards to assess the level of risks found. The results of the study indicate that the Universitas Andalas Repository site still uses the HTTP protocol in its communication process, meaning that all data transmitted between the client and server can be read in plaintext. The Nmap scan results confirm that the web service operates on port 80 without SSL/TLS encryption support. Meanwhile, the packet analysis results using Wireshark show that both HTTP requests and responses can be captured and directly observed, including request parameters, cookies, and other potentially sensitive information. These findings suggest that the site has significant vulnerabilities to sniffing attacks and man-in-the-middle attacks, posing a potential risk to user data security.

Digital transformation in higher education requires an information system that is able to manage academic processes effectively, including the management of students' final projects. At Stella Maris University Sumba, the process of registering titles, guidance, and archiving of final projects is still carried out manually, causing various obstacles, such as administrative delays, difficulties in monitoring the progress of guidance, and the risk of data loss. This research aims to design and implement a web-based information system that supports the process of submitting titles, guidance management, uploading documents, and storing final project archives in the form of a digital data bank. The development method used is a software engineering approach with the stages of needs analysis, designing using UML, implementation, and system testing. The system is built with a three-layer architecture that features document management and role-based access control to ensure data security and integrity. The results of the black-box test showed that all system functions were running as needed, while the usability evaluation using the System Usability Scale (SUS) questionnaire resulted in a score that indicated the system was feasible to use. The implementation of this system has been proven to increase administrative efficiency, simplify the guidance process, and provide a structured thesis repository that supports academic transparency and accountability. Thus, this information system is expected to be a sustainable solution in the management of final projects as well as a model for the development of academic digitalization in higher education.

The rapid growth of open-source software (OSS) in machine learning (ML) has intensified the need for reliable, automated methods to assess project quality, particularly as OSS increasingly underpins critical applications in science, industry, and public infrastructure. This study evaluates the effectiveness of a diverse set of machine learning and deep learning (ML/DL) algorithms for classifying GitHub OSS ML projects as engineered or non-engineered using a SMOTE-enhanced and explainable modeling pipeline. The dataset used in this research includes both numerical and categorical attributes representing documentation, testing, architecture, community engagement, popularity, and repository activity. After handling missing values, standardizing numerical features, encoding categorical variables, and addressing the inherent class imbalance using the Synthetic Minority Oversampling Technique (SMOTE), seven different classifiers—K-Nearest Neighbors (KNN), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Logistic Regression (LR), Support Vector Machine (SVM), and a Deep Neural Network (DNN)—were trained and evaluated. Results show that LR (84%) and DNN (85%) outperform all other models, indicating that both linear and moderately deep non-linear architectures can effectively capture key quality indicators in OSS ML projects. Additional explainability analysis using SHAP reveals consistent feature importance across models, with documentation quality, unit testing practices, architectural clarity, and repository dynamics emerging as the strongest predictors. These findings demonstrate that automated, explainable ML/DL-based quality assessment is both feasible and effective, offering a practical pathway for improving OSS sustainability, guiding contributor decisions, and enhancing trust in ML-based systems that depend on open-source components.

The administrative system implemented at the Tangerang City PMI Headquarters is still semi-computerized, causing several issues such as inconsistent document formats, higher risk of recording errors, longer processing times, and excessive paper use. Additionally, delays in determining the leader’s availability often hinder the disposition and signing process, resulting in postponed activities. To address these problems, a Web-Based Administrative Management Information System was developed, named “Si-Markot”. This system aims to improve the efficiency of managing incoming and outgoing correspondence through digital archiving, electronic disposition, and digital signature features for leaders. Si-Markot functions as a structured digital repository that enables quick document searches and real-time tracking. The research methodology includes observation and literature study, with system development based on the Rapid Application Development (RAD) approach. System modeling was conducted using Unified Modeling Language (UML), implemented with PHP programming language and phpMyAdmin as the database. The system was tested using the Black Box Testing method. The results of this study produced a web-based administrative management application specifically designed for managing correspondence at the Tangerang City PMI Headquarters, improving efficiency, reducing paper usage, and accelerating document disposition and processing.

The purpose of this research, "Designing a Database System for Senior High Schools/Vocational Schools in Nabire Regency," is to build an information system that will make the process of data processing and management for schools in Nabire Regency easier. In this era of rapid technological advancement, effective and open information systems are becoming increasingly important, especially for educational purposes. It is hoped that the Ministry of National Education (Kemendiknas) will develop an information system with school profile data across Indonesia. This will assist data-driven decision-making for various parties, including the government and the education department. With this system, it is hoped that the administrative process will become more effective and transparent, and policy-making will become easier. In addition, this research emphasizes the importance of ensuring that all stakeholders can access data in order to improve the quality of education in the area. This study shows that the application created not only makes data management easier, but also enhances clarity and integrity in public education services. Therefore, it is hoped that this system will become a useful tool to promote education and assist in better decision-making processes in Nabire Regency. This research significantly contributes to the development of educational information systems in Indonesia, particularly in terms of school data management.

Museums as cultural preservation institutions have the responsibility to convey information about collections in an informative manner to the public. One of the historical events displayed at the Brawijaya Museum is Operation Trident in 1968. This research aims to design collection labels as an effective communication medium by considering aspects of archive classification, material selection, label design, and information readability. The method used is action research which is carried out through the planning and action stages. The label is designed using Art Paper material with a combination of black-and-white colors and Times New Roman fonts. This research not only emphasizes the aesthetic aspect, but also pays attention to the functional aspect in conveying messages to visitors. The label design process is carried out by paying attention to the suitability between historical content and the form of visual presentation, so that information can be conveyed in a concise, clear, and interesting manner. Effectiveness evaluation was carried out through the EPIC model approach to 105 respondents, including empathy, persuasion, impact, and communication indicators. The results of the study showed that the label was designed to be very effective as a communication medium for museums with high scores on all four indicators. The implication of this research is to improve the visitor experience in understanding the historical value of collections and the efficiency of archive management in the museum environment. In addition, the design of this label can be a reference for other museums in developing information media based on a visual communication approach that is right on target. Thus, the museum serves not only as a repository of artifacts, but also as an interactive and communicative educational center. Furthermore, this research emphasizes the importance of integration between information technology and visual communication strategies in the management of modern museums. The use of professionally designed labels based on the results of empirical evaluation contributes to the improvement of the image of museum institutions in the eyes of the public. It is hoped that this approach can encourage museums to be more innovative in creating participatory learning experiences, especially for the younger generation.

The development of information technology has encouraged university libraries to innovate in disseminating information more effectively. Institutional repositories are present as one of the information repackaging products that aim to collect, manage, and disseminate scientific works of academicians in digital form. Repositories can be viewed as valuable assets of an institution that function as a means to improve the reputation of the institution. This study was implemented through a quantitative approach with a descriptive method. This approach was chosen to provide a systematic, factual, and accurate picture of the effectiveness of the directory as an information repackaging product at the Padang State University Library. The results of the study indicate that the use of information repackaging is in the high category in terms of reasons for use, interaction, and results felt by users, although there are still challenges in the completeness and personalization of content. This study recommends the need for continuous evaluation, development of more diverse information formats, and increasing librarian competence in understanding user needs so that the repository can function optimally as a medium for disseminating information and supporting the position of the institution.

Coronary heart disease (CHD) remains a leading cause of mortality worldwide. Early detection is essential to reduce complications and improve patient outcomes. This study aims to develop a classification model using machine learning algorithms to predict CHD risk based on clinical symptoms. The dataset used is the Cleveland Heart Disease dataset from the UCI Machine Learning Repository, consisting of 303 patient records with 14 clinical features. The preprocessing stage involved handling missing values, normalizing features, and transforming categorical variables. Four classification algorithms were applied: K-Nearest Neighbors (K-NN), Decision Tree, Random Forest, and Support Vector Machine (SVM). Each model was trained using stratified 10-fold cross-validation to ensure generalizability. Evaluation using accuracy, precision, recall, F1-score, and ROC-AUC metrics showed that the Random Forest algorithm achieved the highest performance with 87.2% accuracy. Feature importance analysis indicated that chest pain type, resting blood pressure, cholesterol, and ST depression were the most influential indicators. These results demonstrate that machine learning, particularly Random Forest, can effectively support early diagnosis of CHD in clinical settings and has the potential to be integrated into clinical decision support systems (CDSS).

The Majapahit Museum houses a significant collection of tosan aji, particularly keris, which holds important historical, technological, and symbolic value within Javanese culture. However, a substantial portion of the collection lacks clear provenance and stratigraphic context, resulting in data gaps and potential misinterpretations, especially regarding Majapahit-period attribution. This study aims to examine strategies for managing non-stratigraphic keris collections through standardized visual-morphological identification as an initial curatorial approach. The research employs direct artifact observation, morphological analysis of blades and ricikan, visual examination of pamor configurations, and a review of museological, keris studies, and archaeometallurgical literature. The findings demonstrate that standardized morphological identification provides a systematic framework for preliminary classification while preventing speculative chronological claims. The study also emphasizes the necessity of separating blade analysis from keris fittings and highlights the limitations of visual assessment in determining tangguh, which requires support from non-destructive metallurgical analyses. As a practical contribution, this article proposes strengthening curatorial standards through the development of morphology-based artifact labels (manual and digital), multidisciplinary scholarly catalogues, and the integration of documentation and material analysis technologies. This approach positions the Majapahit Museum as a knowledge-producing institution in tosan aji studies rather than merely a repository of artifacts.   Kata Kunci : Museum Majapahit, Keris, Identifikasi Morfologis, Ricikan, Tangguh Keris

The need for an efficient system to manage academic works in digital format is growing in universities, including at Universitas Islam Negeri Sumatera Utara (UINSU). Despite previous developments in digital repository systems, many academic institutions, including UINSU, still face challenges related to data management, security, and accessibility. This study aims to develop a web-based repository system for UINSU using the Waterfall method, to improve the storage, management, and accessibility of academic resources. A structured quantitative approach was adopted, focusing on the development and implementation of the repository system. The Waterfall methodology was chosen due to its step-by-step approach, ensuring a thorough and organized development process. The implementation of the system resulted in an organized, user-friendly platform where students, faculty, and staff can upload, manage, and access academic documents efficiently. The system features a clear interface for searching, uploading, and managing documents, with administrative controls for approving and maintaining submissions. The repository system significantly improves data management at UINSU, providing a long-term solution for archiving academic work. Continuous evaluation and system upgrades are essential to ensure it adapts to future needs and technological advancements.

Training on the use of Zenodo as a personal repository for lecturers is a strategic initiative to increase the productivity and visibility of scientific works. Zenodo offers an open-source platform that enables publication management with features such as DOI and structured metadata, which are essential to support global citations and recognition. However, many lecturers do not understand the importance of using these private repositories, especially regarding the role of DOIs and metadata in strengthening their academic impact. For this reason, this training is designed with a comprehensive method, starting with the creation of training modules, publication in the academic community, and online implementation via Zoom. A hands-on lab approach  is used to ensure participants understand and practice Zenodo management firsthand. The results of the training held in July 2024 showed a very high level of satisfaction, with 90% of participants feeling very satisfied and the rest satisfied. Participants came from various regions in Indonesia, including lecturers, library staff, and LPPM staff, who were interested in using Zenodo for institutional needs. The discussion revealed that most lecturers still have a minimal understanding of the importance of DOI and metadata, as well as how personal repositories can support the management of academic positions. This training provides new awareness of the importance of managing scientific works that are integrated with digital technology. In conclusion, Zenodo training has a positive impact on building technical and strategic understanding of lecturers, although further training is still needed to delve into metadata management and Zenodo optimization at the institutional level. With the right approach, this training not only improves individual competence, but also strengthens the academic competitiveness of the institution at the global level.

The museum is a repository of historical relics that are stored and store stories that can be used as a learning resource to gain knowledge in the past. The purpose of this research is to describe the function of the Subkos Museum as a source of learning for history students in Lubuk Linggau and Musi Rawas. This research uses qualitative methods with descriptive research. The focus of this research, namely: 1. What collections are in the Subkos museum. 2. How does the Subkos Museum function as a source of student history learning in Lubuk Linggau and Musi Rawas 3. What are the obstacles in the history learning process in utilizing the function of the Subkoss Museum as a historical source as a learning resource. This research was conducted at SMA Negeri 5 Lubuklinggau, SMA Negeri Sarulangun Muratara. In this study that is used as a source consists of informants (Head of the Museum, Museum Manager, museum manager, Principal, History Teacher, XI IPS class students, Documents, syllabus, lesson plans, and other documents that can support this research, as well as the place of research. Data collection techniques using interview observation techniques, interactive analysis with the task of analysis stages, namely data reduction, data presentation, and conclusion drawing that interacts with data collection.      

This study aims to analyze user satisfaction with the Universitas Amikom Purwokerto repository website using the System Usability Scale (SUS) method. In the digital era, online repositories play a crucial role as a platform for storing, managing, and distributing academic work, supporting academic activities and knowledge exchange. However, observations indicate that the repository website faces challenges in accessibility, including unintuitive navigation, difficult-to-understand menus, and limited language options, as it is only available in English. Through a SUS survey involving 100 respondents, an average SUS score of 46 was obtained, falling into the "Not Acceptable" category with a grade of "F" and an adjective rating of "Poor." This result indicates that the website’s usability is insufficient and requires improvement. Recommendations include enhancing navigation, ensuring interface consistency, providing a dual-language option (Indonesian and English), improving website speed, and conducting regular user satisfaction evaluations. These improvements aim to optimize the Universitas Amikom Purwokerto repository website, thereby providing a better user experience and effectively supporting academic activities and the dissemination of academic work.  

In the era of globalization, identity and cultural crises are increasingly prevalent in many societies, including in Indonesia. This is caused by the integration of new cultures and values that obscure the roots of local traditions. Cultural Islamic boarding schools play an important role in responding to this phenomenon by offering a holistic approach that combines religious education with the preservation of local culture. The Ndalem Wongsorogo Cultural Islamic Boarding School in Kendal, Central Java, is a real example in the effort to preserve local traditions and identities. This boarding school not only teaches religious values, but also arts, culture, and practical skills such as barista and fine arts. This approach allows students to develop a more holistic understanding of their identity, combining faith with local wisdom. With routine activities such as gamelan practice, klenengan, and hadroh, this boarding school functions as a center for the preservation of arts and traditions as well as a repository of cultural heritage. This article explores the role of cultural boarding schools in maintaining cultural identity amidst the flow of globalization and offers insights into how this institution can become an adaptive educational model that answers the challenges of modernization without abandoning cultural roots

Skin diseases are highly prevalent and transmissible. It has been one of the major health problems that most people face. The diseases are dangerous to the skin and tend to spread over time. A patient can be cured of these skin diseases if they are detected on time and treated early. However, it is difficult to identify these diseases and provide the right medications. This study's research objectives involve developing an ensemble machine learning based model for classifying Erythemato-Squamous Diseases (ESD). The ensemble techniques combine five different classifiers, Naïve Bayes, Support Vector Classifier, Decision Tree, Random Forest, and Gradient Boosting, by merging their predictions and utilizing them as input features for a meta-classifier during training. We tested and validated the ensemble model using the dataset from the University of California, Irvine (UCI) repository to assess its effectiveness. The Individual classifiers achieved different accuracies: Naïve Bayes (85.41%), Support Vector Machine (98.61%), Random Forest (97.91%), Decision Tree (95.13%), Gradient Boosting (95.83%). The stacking method yielded a higher accuracy of 99.30% and a precision of 1.00, recall of 0.96, F1 score of 0.97, and specificity of 1.00 compared to the base models. The study confirms the effectiveness of ensemble learning techniques in classifying ESD.

Tujuan pengabdian yang akan dilakukan adalah pembuatan mural untuk penguatan program sekolah adiwiyata dan media pembelajaran seni budaya dan prakarya anak Sekolah Dasar di Kalijambe Sragen. Dikarenakan (1) belum terciptanya lingkungan sekolah yang bersih, rapi, indah, nyaman, dan menarik sebagai pendukung program adiwiyata sekolah, (2) Sarana/media pembelajaran seni budaya dan prakarya kurang maksimal. Solusi yang dilakukan adalah Penerapan seni mural dengan menggambar tembok sekolah sebagai sarana memperindah visual lingkungan sekolah, dan Pemanfaatan seni mural di tembok sekolah sebagai media pembelajaran seni budaya dan prakarya dalam kegiatan menggambar. Metode yang akan digunakan melalui pelatihan dan dan pendampingan melalui pendekatan partisipatif dan kolaboratif berpijak pada hasil observasi dan wawancara secara mendalam mengenai tema mural dengan metode direct practice menggambar langsung lukisan pada dinding sekolah. Target luaran yang akan dihasilkan adalah (1) Karya mural di dinding sekolah (2) Artikel publikasi di jurnal Adiwidya (3) Video visualisasi karya dari hasil penerapan seni mural yang telah dilakukan; (4) Publikasi pada media cetak/online/repository UNS. Kata kunci: mural, program adiwiyata, media pembelajaran

This research concerns the Institutional Management Policy of the Medan Area University Library Repository.The purpose of this research is to find out how the institutional management policy of the repository in the Medan Area University library. This research is a descriptive study using a qualitative approach, datacollection techniques with observation, interviews and documentation. The results of this study indicate that the background of the Institutional Repository in the Medan Area University Library is an effort to optimize library tasks in collecting, storing, managing, organizing, preserving, and distributing scientific work information, especially within the Medan Area University academic community. The institutional goal of the repository for the Medan Area University library is to collect (collect), manage, preserve, and open access (distribute) all intellectual works produced by the UMA academic community, both students, lecturers, and staff. The institutional management strategy for the Medan Area University library repository all librarians and employees at the Medan Area University library are involved in repository management, because little or not all human resources (HR) are involved, the library also carries out promotions by conducting outreach to students and also promotion through social media such as ig and fb, building library repositories using hardware (hardware) such as computers and software (software) made by outside developers, preserving library collections Medan Area University library providing external hard drives from CDs that have been given by students to the library then copied to an external hard drive.

Di era digital saat ini, kemajuan teknologi informasi mengalami pertumbuhan yang pesat. Salah satu perkembangan yang signifikan terjadi dalam bidang kecerdasan buatan (Artificial Intelligence), yang telah diterapkan luas di berbagai sektor, termasuk analisis data dan pengambilan keputusan. Para peneliti di bidang data mining telah menciptakan beragam algoritma klasifikasi yang meningkatkan proses klasifikasi dengan memanfaatkan atribut numerik dan nominal. Klasifikasi adalah suatu proses analisis data yang menghasilkan model untuk mewakili kelas-kelas dalam data tersebut, seperti yang terjadi pada Decision Tree yang digunakan untuk menganalisis klasifikasi dan pola prediksi data serta menggambarkan hubungan antara variabel atribut  dan variabel target  dalam bentuk struktur pohon. Python, sebagai bahasa pemrograman populer dalam pengembangan kecerdasan buatan, menyediakan pustaka dan framework yang mendukung implementasi algoritma Decision Tree. Dengan menerapkan algoritma Decision Tree untuk klasifikasi data evaluasi mobil menggunakan Python, kita dapat memanfaatkan kekuatan AI untuk memberikan solusi efektif dan efisien dalam pengambilan keputusan terkait evaluasi mobil. Menggunakan dataset Evaluation Car dari UC Irvine Machine Learning Repository, hasil penelitian menunjukkan akurasi sebesar 81%. Confusion Matrix dan laporan klasifikasi menunjukkan performa model yang baik dalam melakukan prediksi.