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Pelaksanaan Pelayanan Penerbitan Surat Izin Mengemudi Pada Satuan Lalu Lintas Polisi Resort Dumai
No full textThe Dumai Resort Police (Polres) as the only agency in Dumai City which is given responsibility by the government in terms of arranging the issuance of a SIM is stated in law as regulated in Law No. 2 of 2002 Article 15. The Police of the Republic of Indonesia in accordance with other Legislative Regulations has the authority to provide motor vehicle driving license. The large number of applicants or users of SIM making services at the Dumai Resort Police (Polres) SIM Affairs Office must be balanced with an increase in service standards, because the public will demand better service. This research aims to determine the Implementation of Driving License Issuance Services at the Dumai Police Traffic Unit and to determine the inhibiting factors in the Implementation of Driving License Issuance Services at the Dumai Police Traffic Unit. The theory used in this research is according to Zeithaml et al, in Hardiansyah, (2018:63). The method in this research is qualitative. This research was located in Dumai City, namely at the Dumai Police Station. The informants in this research were the Head of the Ridgent Unit, a Driver's License Theory Examiner, a Driver's License Practice Examiner and 5 people in the community who processed SIMs. The informant selection technique used in this research is a purpose sampling technique. The results of this research show that the implementation of the Driving License (SIM) Issuance Service is still not good. The inhibiting factor in this research is the lack of reliability, namely related to costs, brokers are still found in the process of implementing SIM services at the Dumai Police
Investigating Retrieval-Augmented Generation in Quranic Studies: A Study of 13 Open-Source Large Language Models
Get PDFAccurate and contextually faithful responses are critical when applying large language models (LLMs) to sensitive and domain-specific tasks, such as answering queries related to quranic studies. General-purpose LLMs often struggle with hallucinations, where generated responses deviate from authoritative sources, raising concerns about their reliability in religious contexts. This challenge highlights the need for systems that can integrate domain-specific knowledge while maintaining response accuracy, relevance, and faithfulness. In this study, we investigate 13 open-source LLMs categorized into large (e.g., Llama3:70b, Gemma2:27b, QwQ:32b), medium (e.g., Gemma2:9b, Llama3:8b), and small (e.g., Llama3.2:3b, Phi3:3.8b). A Retrieval-Augmented Generation (RAG) is used to make up for the problems that come with using separate models. This research utilizes a descriptive dataset of Quranic surahs including the meanings, historical context, and qualities of the 114 surahs, allowing the model to gather relevant knowledge before responding. The models are evaluated using three key metrics set by human evaluators: context relevance, answer faithfulness, and answer relevance. The findings reveal that large models consistently outperform smaller models in capturing query semantics and producing accurate, contextually grounded responses. The Llama3.2:3b model, even though it is considered small, does very well on faithfulness (4.619) and relevance (4.857), showing the promise of smaller architectures that have been well optimized. This article examines the trade-offs between model size, computational efficiency, and response quality while using LLMs in domain-specific applications
Pengaruh Beban Kerja dan Kompensasi Terhadap Turn Over Intention Pegawai Pada Petrochina Internasional Jabung Ltd Jambi
Get PDFThis study aims to analyze the impact of workload and compensation on employee turnover intention at PetroChina International Ltd Jambi. The research method used is multiple linear regression analysis with data collected from questionnaires distributed to 80 respondents. The results indicate that both workload and compensation significantly influence employee turnover intention. High workload and inadequate compensation can increase employees' intention to leave their jobs. Specifically, workload has a more dominant effect compared to compensation on turnover intention. The study recommends that the company evaluate and improve workload management and compensation systems to enhance employee satisfaction and retention. The level of turnover intention is influenced by various factors, including high workload and compensation that may not be fully adequate. This study noted dissatisfaction among some employees who felt underappreciated and at risk of changing jobs. Workload had a significant effect on turnover intention. This shows that high workload significantly increases employees' intention to leave their jobs. Excessive workload contributes to stress and dissatisfaction that encourages employees to consider other job alternatives. Compensation was also shown to have a significant effect on turnover intention. This indicates that inadequate or unmet compensation can increase employees' intention to leave their jobs. Employees who feel their compensation is not in accordance with their contributions or industry standards are more likely to seek other job opportunities. Workload and compensation have a significant effect together on turnover intention
A Book Review of Global Perspectives on Project-Based Language Learning, Teaching, and Assessment: Key Approaches, Technology Tools, and Frameworks
Get PDFThis review focuses on the book Global Perspectives on ProjectBased
Language Learning, Teaching, and Assessment: Key
Approaches, Technology Tools, and Frameworks, edited by
Gulbahar H. Beckett and Tammy Slater. The book provides an indepth
discussion of project-based language learning (PBLL) and
emphasizes the role of technology-enhanced learning. Using a
structured analytical framework, it explores foundational theories,
practical applications, and technology-driven strategies to advance
language acquisition, critical thinking, collaboration, and global
competencies. Organized into three parts, the book covers
philosophical and theoretical insights, empirical studies on
technology-integrated PBLLs, and practical frameworks for using
technology in language education. This review critically evaluates
the chapters' coherence, theoretical grounding, and pedagogical
relevance. It highlights the book's significant contributions,
emphasizing their value to educators, researchers, and practitioners
by offering novel, technology-focused solutions to prepare learners
for the challenges of the 21st century
Phone Snubbing Behavior and Social Interactions of Muslim Students
Get PDFThis research aims to determine the relationship between phone snubbing (phubbing) behavior and social interaction. This research method is correlational quantitative. The subjects of this study were students as if the High School and were 11th grade students. The number of subjects was 181 students who were selected using purposive sampling technique. The instruments used are the phubbing behavior scale and the social interaction scale. Data analysis using SPSS version 26 for windows. The results of the hypothesis test showed a significance value of 0.000 p < 0.05, with Pearson-Correlation 0,583. It can be concluded that there is a negative relationship between phubbing behavior and social interaction of high school students. So that the hypothesis proposed in this study can be accepted. Based on the categorization of phubbing behavior variable scores, it can be concluded that 26 students (14%) fall into the low category, 127 students (71%) are in medium category, and 28 students (15%) are in the high category. This indicates that the majority of students exhibit a moderate level of phubbing behavior
Upaya Peningkatan Penjualan Melalui Packaging Produk Pada Usaha Keripik Singkong Di Kota Dumai Provinsi Riau
Get PDFThis service program was carried out due to problems related to packaging for household products run by
the local community, especially cassava chips products. Good product packaging not only produces an
attractive product appearance but can also provide added value/higher selling value and increase product
durability. This service activity aims to provide additional knowledge to residents and cassava chips
business owners regarding packaging and provide a proper understanding of the marketing of cassava
chips products to increase sales. This service activity was carried out in collaboration with partners,
namely the Berkah Farmers Group in Teluk Makmur Village, Medang Kampai District, Dumai City, Riau
Province. This service activity was carried out in collaboration with partners, namely the Berkah Farmers
Group in Teluk Makmur Village, Medang Kampai District, Dumai City, Riau Province. The evaluation
results showed that the majority of participants, as many as 75%, really understood the stages of the
activity, with 12.5% understanding, and 12.53% quite understanding the material presented
Benchmarking 21 Open-Source Large Language Models for Phishing Link Detection with Prompt Engineering
Get PDFPhishing URL detection is critical due to the severe cybersecurity threats posed by phishing attacks. While traditional methods rely heavily on handcrafted features and supervised machine learning, recent advances in large language models (LLMs) provide promising alternatives. This paper presents a comprehensive benchmarking study of 21 state-of-the-art open-source LLMs—including Llama3, Gemma, Qwen, Phi, DeepSeek, and Mistral—for phishing URL detection. We evaluate four key prompt engineering techniques—zero-shot, role-playing, chain-of-thought, and few-shot prompting—using a balanced, publicly available phishing URL dataset, with no fine-tuning or additional training of the models conducted, reinforcing the zero-shot, prompt-based nature as a distinctive aspect of our study. The results demonstrate that large open-source LLMs (≥27B parameters) achieve performance exceeding 90% F1-score without fine-tuning, closely matching proprietary models. Among the prompt strategies, few-shot prompting consistently delivers the highest accuracy (91.24% F1 with Llama3.3_70b), whereas chain- of-thought significantly lowers accuracy and increases inference time. Additionally, our analysis highlights smaller models (7B–27B parameters) offering strong performance with substantially reduced computational costs. This study underscores the practical potential of open-source LLMs for phishing detection and provides insights for effective prompt engineering in cybersecurity applications
