Filter By Year

1945 2024


Reset

Found 24,917 documents
Search Information

 2190   2191   2192   2193   2194 
Validity of competency-based architecture textbooks in the concentration of building modeling and information design at SMK Negeri 3 Tanjungpinang Husain, Farid Muhammad; Nevrita; Kurmalasari, Tety; Malik, Abdul; Abdulhajar, Encik
Educenter : Jurnal Ilmiah Pendidikan Vol. 4 No. 1 (2025): Educenter: Jurnal Ilmiah Pendidikan
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/educenter.v4i1.1936

Abstract

Ideally, textbooks used in the learning process at vocational schools should serve as a bridge between theory and practice in the field. However, in reality, the textbooks available at SMK Negeri 3 Tanjungpinang still need improvement. This study aims to determine the validity of the competency-based architecture textbooks that have been developed to support learning in the DPIB Specialization at SMK Negeri 3 Tanjungpinang. This research is R&D research using the ADDIE development model, but this research only confirms the Development stage (validation of the development product). The validation process was carried out by media experts and subject matter experts using a Likert scale-based questionnaire covering aspects of appearance, language, content, and presentation. The data were analyzed descriptively and quantitatively by calculating the total score and determining the level of feasibility. The validation results showed that the textbook obtained a very high level of validity, with a percentage of 98.5% in the learning media aspect and 97% in the learning material aspect. Thus, the average validation results showed that the developed textbook was in the highly valid category, which means that it met the feasibility criteria in terms of content and learning media, making it suitable for use as a learning resource in learning activities at vocational schools.
Pemanfaatan Information and Communication Technology (ICT) dalam Pembelajaran di SD/MI Munawar, Mohamad
PERMAI: Jurnal Pendidikan dan Literasi Madrasah Ibtida'iyah Vol. 4 No. 2 (2025)
Publisher : Sekolah Tinggi Agama Islam Muhammadiyah Blora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63889/permai.v4i2.317

Abstract

This research falls under the category of field research, conducted directly at SD Muhammadiyah 1 Blora. The main focus of this study is the collection and documentation of data carried out on-site at the research location. The method used in this study is replication research. Replication research is a type of scientific study conducted with the aim of repeating, verifying, or strengthening the results of previous research. In practice, replication research employs designs, methods, or instruments similar to those used in prior studies, but may be conducted in different contexts, times, populations, or conditions. The utilization of Information and Communication Technology (ICT) in education contributes significantly to improving the quality of the teaching and learning process. ICT supports mass or classical learning by introducing interactive media that helps teachers effectively deliver materials to a large number of students. Moreover, ICT assists students in independent learning by providing access to a variety of digital learning resources anytime and anywhere, thereby fostering critical thinking skills and a sense of responsibility toward their own learning process. Furthermore, ICT facilitates educational administration management through efficient, transparent, and integrated information systems, which enhance the overall performance of schools. The implementation of ICT also contributes to the development of students’ character in elementary education, such as fostering self-confidence, creativity, responsibility, and adaptability to technology. In conclusion, the integration of ICT in education not only enhances academic achievement but also helps shape students’ character and competence to face the challenges of the digital era. Keyword: Education, Elementary school, Information and Communication Technology (ICT)
Variasi Slice Thickness dan Rekonstruks Increment Terhadap Informasi Citra Anatomi Pemeriksaa MSCT Stonografi pada Kasus Nephrolithiasis: Slice Thickness Variation and Increment Recnonstruction on Anatomic Image Information of MSCT Stonography Examination in Nephrolithiasis Cases da Costa, Augusta; Yuda Astina, Kadek; Purwa Darmita, I Made
Jurnal Surya Medika (JSM) Vol. 11 No. 3 (2025): Jurnal Surya Medika (JSM)
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/jsm.v11i3.8249

Abstract

Nephrolithiasis, atau batu ginjal, merupakan salah satu gangguan urologi yang umum dan membutuhkan diagnosis yang akurat. Multislice Computed Tomography (MSCT) Stonografi menjadi modalitas utama untuk mendeteksi batu ginjal. Kualitas citra anatomi yang dihasilkan MSCT sangat dipengaruhi oleh variasi slice thickness dan rekonstruksi increment, yang berperan penting dalam diagnosis klinis. Tujuan Penelitian ini bertujuan untuk menganalisis variasi slice thickness dan rekonstruksi increment terhadap informasi citra anatomi pada pemeriksaan MSCT stonografi pada kasus nephrolithiasis. Metode Penelitian ini merupakan penelitian kuantitatif eksperimental dengan desain one-shot case study. Sebanyak 10 pasien yang didiagnosis nephrolithiasis menjalani pemeriksaan MSCT stonografi dengan variasi slice thickness (1mm, 4mm, 5mm, dan 10mm) serta rekonstruksi increment (0,3mm, 1,6mm, 2,5mm, dan 3mm). Evaluasi informasi citra anatomi dinilai oleh dua radiolog menggunakan kuisioner yang mencakup enam kriteria anatomi: renal hilux, left ureter, perirenal fat, renal pelvis, calix, dan Gerota’s fascia. Analisis statistik dilakukan menggunakan Friedman. Hasil penelitian menunjukkan bahwa terdapat perbedaan signifikan antara variasi slice thickness dan rekonstruksi increment terhadap informasi citra anatomi P value 0.000 (p<0.05). Kombinasi slice thickness 1 mm dan rekonstruksi increment 0,3mm menghasilkan informasi citra anatomi yang paling optimal dengan mean rank tertinggi (4.00). Slice thickness 10mm dan rekonstruksi increment 3mm menghasilkan informasi citra anatomi terendah dengan mean rank terendah (1.00). Uji Friedman menunjukkan perbedaan signifikan pada setiap anatomi dengan p value 0.000. Kesimpulan Variasi slice thickness dan rekonstruksi increment berpengaruh signifikan terhadap informasi citra anatomi pada pemeriksaan MSCT stonografi. Kombinasi slice thickness 1 mm dan rekonstruksi increment 0,3mm direkomendasikan untuk menghasilkan informasi citra yang optimal dalam diagnosis nephrolithiasis.
Implementation of Naive Bayes for Optimizing Asset Condition Classification in a Web-Based Information System Putra, Adhitya Pramana; Lapatta, Nouval Trezandy; Ngemba, Hajra Rasmita
Technomedia Journal Vol 10 No 3 (2026): February
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v10i3.2273

Abstract

Improving the quality of work performance is an essential aspect for employees at the Office of Investment and Integrated One-Stop Services of Central Sulawesi Province. Many challenges remain in managing asset data, especially because the recording and monitoring processes are still performed manually. This manual approach often leads to inconsistencies, inefficiencies, and difficulties in determining asset eligibility. Therefore, an information system capable of supporting accurate and efficient data management is highly needed. The main objective of this study is to apply the Naive Bayes algorithm to classify asset conditions in a web-based system, enabling faster decision-making and improving the accuracy of asset feasibility assessments within government institutions. The dataset used in this study consists of three key attributes asset functionality, asset age, and physical condition. These attributes serve as indicators for classification using the Naïve Bayes probabilistic approach. The developed web-based application was evaluated through black-box testing to ensure that all system functions performed according to expectations and produced consistent outputs. Black-box testing results show that the system successfully provides correct outputs for each test scenario, verifying that the classification and data management processes operate properly. The application is able to classify assets into feasible or non-feasible categories based on calculated probabilities. Findings indicate that implementing the Naïve Bayes algorithm significantly improves the efficiency of asset data processing and enhances data management quality. The system also supports more objective decision-making regarding asset feasibility. This study demonstrates that probabilistic classification can be effectively integrated into governmental asset management systems to optimize operational performance.
Accounting Information, Creativity, and Education Influence on Culinary Business Success Moderated by Financial Literacy Bintani, Ananda Chika; Nasrizal, Nasrizal; Rasuli, M.; Azlina, Nur; Silfi, Alfiati
Akuntansi & Ekonomika Vol 15 No 2 (2025): Jurnal Akuntansi dan Ekonomika
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jae.v15i2.10292

Abstract

This study examines the effect of accounting information usage, creativity, and education level on the success of culinary SMEs in Pekanbaru, as well as the moderating role of financial literacy. SEM-PLS analysis on 132 SME actors reveals accounting information usage positively influences success by enabling better decision-making and operational efficiency through valuable, scarce resources per RBV theory, while creativity drives success via product innovation and competitive uniqueness; however, education level lacks impact as practical skills outweigh formal education in this context. Financial literacy strengthens the creativity-success link by helping implement innovative ideas strategically, but fails to moderate accounting usage due to its direct interpretability and education due to unrelated optimization needs. These findings stress prioritizing creativity, financial literacy, and accounting practices for SME sustainability.
SIM Puskesmas: An Integrated Management Information System for Administration, Doctor Consultations, and Web-Based Pharmacy Services at UPT Karang Anyer Using Research and Development (R&D) Approach Mevia, Nazwa Aidlia Octa; Marbun, Yohana Kartika; Niska, Debi Yandra; Gultom, Jonatan Rio
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 6 No. 2 (2025): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v6i2.737

Abstract

Primary health care facilities such as Community Health Centers (Puskesmas) still face challenges of inefficiency and the risk of human error due to manual data collection processes. This study aims to develop and implement a web-based Community Health Center Management Information System (SIM-PUSKESMAS) in Karang Anyer to improve service efficiency and accuracy. The study used a Research and Development (R&D) approach. The system design was carried out through Unified Modeling Language (UML) modeling, and the system implementation used web-based PHP and MySQL technologies in the XAMPP environment. The results showed the successful implementation of SIM-PUSKESMAS with role-based access rights (Admin, Doctor, Pharmacist, Patient). The main functional pages developed include Queue Management, SOAP-based Medical Records (Subjective, Objective, Assessment, Plan), Pharmacy Management, and Reports/Referrals. Comparison with conventional systems shows that this digital system significantly improves the speed of service and the accuracy of clinical data. It can be concluded that SIM-PUSKESMAS Karang Anyer is effective in ensuring data integrity, supporting better governance through instant reporting, and is a concrete step towards the digitalization of sustainable and quality health services.
Optimizing resume information extraction through TSHD segmentation and advanced deep learning techniques Abuhamdah, Anmar; Al-Shabi, Mohammed; Jawarneh, Sana
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 3: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i3.pp1453-1465

Abstract

This research focuses on a significant factor in the natural language processing area, which is extracting information from unstructured textual data through efficient methods in order to pull useful insights and structured representations from this data. This research attempts to boost the effectiveness of information retrieval systems through computational analysis. This paradigm is explored in this work using question answering models in an extractive style, a modern information extraction approach, creating a new methodology combining the topic segmentation based on headings detection (TSHD) segmentation algorithm and deep learning methods. The TSHD algorithm breaks documents into sections in which certain topics are addressed. Refined extraction models are then used to process these disjoint segments leading to more accurate and contextjudicious extraction compared to naive whole-document extraction approaches. We empirically validate this approach using the stanford question answering dataset (SQuAD) 1.1 dataset, with a specific adaptation to resumes. Experimental results show that the performance metrics increase by 7.4% in exact match (EM) and by 7.8% in F1-score. This can be concluded from these results illustrating the feasibility of the proposed approach in the automated information extraction frameworks such as resume processing.
The role of artificial intelligence in advancing the performance of information retrieval Alrabea, Adnan; Ahmad Alhaj, Abdullah; Senthil Kumar, A. V.
Indonesian Journal of Electrical Engineering and Computer Science Vol 40, No 3: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v40.i3.pp1478-1485

Abstract

The motivation behind applying artificial intelligence (AI) in information retrieval (IR) is that the current methodologies include algorithms designed by researchers, leaving space for the applicability of genetic AI algorithms in IR. While different algorithms designed by developers rely on the originality or performance of the algorithm, precise results are achieved through integrating AI algorithms with traditional algorithms. The proposed methodology introduces document structure weighting with optimized performance. It is enabled by employing genetic algorithm and genetic programming for learning optimal weights in ranking document components. The Croft probabilistic ranking, vector space inner product models, and the BM25 standard were compared with each other after AI integration. Genetic algorithm and genetic programming were applied in the stemming and thesaurus forming processes of these models. Inducing genetic algorithm and genetic programming into the specified models increased the mean average precision of the Croft model and the vector space method by approximately 5% while there were no observable result improvements in BM25. It was found that applying genetic algorithm and genetic programming in learning synonyms and stemming rules, respectively, increased the overall performance of IR models, emphasizing the need for AI in IR.
Development of a Geographic Information System–Based Palm Tree Census Tool for Oil Palm Plantations (Case Study: Langkat Regency) Fragastia, Vidi Agung; Batubara, Rini Oktari; Putra, Armansyah; Afilla, Muhammad Rizky
CSRID (Computer Science Research and Its Development Journal) Vol. 16 No. 3 (2024): October 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Oil palm plantations require accurate and timely plant census data to support effective management decisions related to productivity, replanting, and maintenance activities. However, conventional manual census methods are constrained by long processing times, inconsistent data quality, and high susceptibility to human error. These limitations hinder the early identification of abnormal or missing palms and delay operational planning. To address these challenges, this study developed an integrated digital census system using a Web-based Geographic Information System (WebGIS), GPS-enabled Android mobile applications, and drone-based photogrammetry. The research employed the Waterfall Software Development Life Cycle (SDLC), consisting of requirement analysis, system design, implementation, testing, and maintenance. Spatial and non-spatial data were collected through field observations, interviews, GPS coordinates, and UAV imagery. The system was developed using PHP, MySQL, and GIS-based visualization tools, while mobile components utilized GPS navigation to guide field staff in locating abnormal trees. Analysis of census data revealed that 799 out of 47,404 trees (1.68%) were classified as abnormal or missing, a population loss that can significantly reduce potential yield. The GIS-based system demonstrated substantial efficiency improvements, reducing census duration from 7–8 months to 1–2 months in Observation Area 1 and from 4–5 months to 1 month in Observation Area 2. Drone photogrammetry enabled more accurate detection of canopy gaps and validated field measurements. System testing showed that all functional modules performed correctly, and User Acceptance Testing yielded a Cronbach’s Alpha value of 0.821, indicating strong user acceptance and instrument reliability. Overall, the integrated system enhances data accuracy, accelerates census operations, and supports site-specific management in alignment with precision agriculture principles. The results highlight the system’s potential to significantly improve operational efficiency and sustainability in oil palm plantation management.
Branding Wasuemba Village Tourism Potential through a Website-Based BUMDes Information System Mahyudin, Mahyudin; Ardiansah Putra, Muhammad Rizal; Fida, Wa Nur
Room of Civil Society Development Vol. 4 No. 6 (2025): Room of Civil Society Development
Publisher : Lembaga Riset dan Inovasi Masyarakat Madani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59110/rcsd.769

Abstract

This community service program aimed to enhance the competitiveness of tourism potential and local products in Wasuemba Village through an integrated digital branding strategy supported by a website-based Village-Owned Enterprise (BUMDes) information system. The partner, BUMDes Bantea Mainawa Lahonduru, faced limitations in product branding and the effective use of information technology for promotion. The program employed a participatory approach consisting of socialization, mentoring and digital marketing training, development and implementation of an official BUMDes website, and the installation of Starlink-based internet connectivity to support digital access. The results show improved capacity of BUMDes administrators in managing digital platforms and content, as well as increased readiness to utilize the website as a central information and promotion hub. The website strengthens the village’s digital identity, supports sustainable tourism promotion, improves transparency, and expands market reach. Overall, this program demonstrates that the integration of digital infrastructure and capacity building can accelerate digital transformation and support local economic development in rural and coastal communities.

Page 2192 of 2492 | Total Record : 24917

 2190   2191   2192   2193   2194