1,720,982 research outputs found
Penerapan SMS Gateway Generator Menggunakan Metode Breadth-First Search
Full text linkAbstrak—Saat ini aplikasi SMS Gateway sudah banyak sekali digunakan diberbagai bidang. SMS gateway yang sering digunakan misalnya sms premium yang digunakan pada iklan tv, sms polling, sms akademik untuk sekolah atau universitas. Sedangkan SMS Gateway Generator ini berfungsi sebagai software yang dapat digunakan untuk membuat aplikasi SMS Gateway tersebut. Untuk membuat aplikasi SMS Gateway Generator ini diperlukan fasilitas Autorespon dan Schedule. Fasilitas Autorespon dan Schedule menggunakan salah satu metode pencarian pada Artificial Intelegence, yaitu Metode Pencarian Melebar Pertama(Breadth- First Search) Kata Kunci—SMS Gateway, BF
IMPLEMENTATIONOF WEB SEMANTIC ON KNOWLEDGE MANAGEMENT SYSTEM
Full text linkAbstract—Hitherto, previous research of string matching techniques in knowledge sharing of explicit knowledge have shown a great success. However, their implementation in a knowledge management system is still underexplored. The aim of this paper is to propose an implementation of web semantic techniques for supporting all processes in knowledge management systems and producing a better accuracy of searching knowledge within an organization. A web-based application prototype of web semantic is built and several experiments are performed in order to prove the correctness of our implementation.. Index Terms— Web Semantic; knowledge management syste
Penerapan Knowledge Managemen System Sales And Customer Care Pada PT. Telkomsel Regional Sumbagsel
Full text linkAbstract PT. Telkomsel Regional Sumbagsel have a big desire to apply knowledge management system, Therefore documenting knowledge and The utilization need to managed well in the context of increasing performance. Applicabilitty of knowledge management in PT. Telkomsel Regional Sumbagselw here is every employe can save, documenting, and share knowledge to each other have a very good rated and give a positive effect for quality of employees. It make the employee can save and documenting and share knowledge to each other. So, the employees can access, even, to learn and discuss to other employees based on the knowledge that in the post. Then , when they needed to the knowledge , it will easy to find in the database with searching fiture in knowledge management system of web based on PT. Telkomsel Regional Sumbagsel. As for this system made using SECI. The methodology used in this study refers to the KM methodology who developed by Amrit Tiwana (1999), later , the system based web will use programming language PHP. Keywords : Knowledge Management Abstrak PT. Telkomsel Regional Sumbagsel memiliki keinginan besar untuk menerapkan Knowledge management system, oleh karena itu pendokumentasian pengetahuan dan pemanfaatannya perlu dikelola dengan baik dalam konteks peningkatan kinerja. Dapat diterapkannya knowledge management di PT Telkomsel Regional Sumbagsel ini dinilai sangat baik dan dapat berefek positif bagi kualitas pegawai. Dimana setiap pegawai dapat menyimpan dan mendokumentasikan serta sharing pengetahuan yang dimiliki, sehingga pegawai lain dapat mengakses, bahkan mempelajari dan berdiskusi dengan pegawai lain berdasarkan pengetahuan yang di-posting, kemudian saat dibutuhkan suatu pengetahuan tersebut, sangat mudah ditemukan di dalam database dengan fitur searching dalam knowledge management system berbasis web pada PT Telkomsel Regional Sumbagsel. Metodologi yang digunakan pada penelitian ini merujuk pada metodologi KM yang di kembangkan oleh Amrit Tiwana (1999), dan sistem ini nantinya berbasis web dengan menggunakan bahasa pemrograman PHP. Kata kunci: Mengelola Pengetahua
Pengenalan Gambar Menggunakan Sebagian Data Gambar
Full text linkPengenalan gambar dengan menggunakan sebagian data gambar query, sebagian data gambar query ini bisa terjadi karena bentuk gambar query yang tidak utuh atau tidak sesempurna gambar asli. Gambar asli ini adalah gambar yang ada didalam database Gambar query yang tidak utuh mungkin karena objek lain yang menutupi, atau pengambilan gambar yang tidak sempurna, atau keadaan objek itu sendiri yang mengalami perubahan. Untuk melakukan pengenalan gambar dengan kondisi seperti tersebut diatas digunakan metode ekstraksi fitur SURF
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
The Influence of Knowledge Management and Digital Competence on Employee Performance: Mediating Role of Innovative Behavior
No full textRapid technological changes in the era of Industry 4.0 and 5.0 have made digital knowledge and skills more important in improving the way employees perform their tasks. Earlier research has given mixed results. This shows there is still a lot to learn. Based on the KBV (Knowledge Based-View) theory, this study looks at how knowledge management and digital competence directly and indirectly affect employee performance through innovative work behavior. Data were obtained using a questionnaire that had been compiled and analyzed with Partial Least Squares-Structural Equation Modeling (PLS-SEM) method with SmartPLS 4.1.1.4. The research sample included all employees in the case study (N = 56), with census sampling method. The study found that KM had a significant impact on IWB (p < 0,05), but did not have a significant direct impact on EP (p > 0,05). DC had a significant impact on EP (p < 0,05), but did not have a significant impact on IWB (p > 0,05). IWB played an important role in improving EP and also mediated the relationship between KM and EP. Theoretically, this study adds value to both the KBV theory by explaining how KM boosts performance through indirect ways, and by showing that digital capital plays a limited role in improving performance. Practically, the findings offer actionable implications for HR practitioners in designing performance systems that reward innovative behaviour, thereby motivating employees to utilize knowledge and digital tools more creatively to enhance productivity and service quality in medium enterprises
Performance Analysis of YOLO, Faster R-CNN, and DETR for Automated Personal Protective Equipment Detection
No full textAutomated monitoring of Personal Protective Equipment (PPE) is crucial for enhancing safety in high-risk environments like construction sites, yet selecting the optimal detection model requires careful evaluation of accuracy versus efficiency trade-offs. This study presents a comparative performance analysis across distinct object detection paradigms represented by YOLO (YOLOv8, YOLOv11n), Faster R-CNN, and DETR to benchmark their suitability for real-time PPE detection. However, this study moves beyond a simple technical benchmark by also proposing a logical process to transform raw model detections (e.g., \u27person\u27, \u27hardhat\u27) into actionable compliance verification information (e.g., \u27Compliant\u27/\u27Non-Compliant\u27). Using a curated construction site safety dataset, models were evaluated based on standard accuracy metrics (including [email protected]:.95) and efficiency measures (inference latency). Results indicate that DETR and YOLOv11n achieved the highest overall accuracy with an identical [email protected]:.95 of 0.770, closely followed by YOLOv8 (0.763), while the YOLO family demonstrated significantly superior real-time efficiency (6-7 ms latency). Faster R-CNN recorded a lower mAP (0.703) and the highest latency. Conclusively, YOLOv11n offers the most compelling balance for the detection phase, and the proposed logical process provides a practical method for integrating this technical output into automated safety monitoring systems
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