Jurnal Portofolio : Jurnal Manajemen dan Bisnis

Penerapan Model Prediksi Untuk Diintegrasikan Dalam Program Analisis Kerja Personel Dalam Mendukung Peningkatan Perencanaan Strategis dan Operasional Kepolisian

2025-05-17T11:10:05+07:00

In the Indonesian context, the application of predictive technology in the police sector still faces various challenges. Some of them are low accuracy, in-date, and difficulty accessing data that results in government bureaucratic inefficiency. Bandar Lampung City is one of the regions in Indonesia with a high crime rate. Data from the Bandar Lampung Police shows that theft cases dominate crime reports in the area. In this study, the improvement of ML model performance is expected to provide more accurate predictions and support police officers in designing more appropriate strategies to tackle theft crimes This study uses two popular Machine Learning (ML) models, namely K-Nearest Neighbors (k-NN) and Naïve Bayes (NB), to analyze and predict theft crimes in the jurisdiction of the Bandar Lampung Police. The approach is carried out using a quantitative method of algorithm k-Nearest Neighbor and Naive Bayes using the Rapidminer application by utilizing 1671 data from the Bandar Lampung Police police report and a survey method with questionnaires. The data collection technique is carried out validly and reliably, then the police report data will be used for prediction and the questionnaire data will be used to support the validity of the prediction. Based on the results of comparative research conducted using the K-NN model and the Naive Bayes model, it is known that the k-NN model on theft victim data based on the type of theft that occurred is able to predict by 98.80% and for the Naive Bayes model is able to predict by 99.85%. And for suspect data in the k-NN model, it is predicted to be 70.00% while the Naive Bayes model predicts 88.00%. In predicting theft incidents in Bandar Lampung, the selection of the Naive Bayes (NB) model proved to be much more effective and had a very high accuracy compared to K-Nearest Neighbors (K-NN). Based on the test results, the Naive Bayes model provides a prediction accuracy of 99.85%, which is much better compared to K-NN which may not achieve the same level of accuracy.

Analisis Persepsi Mahasiswa Terhadap Pentingnya Pengelolaan Dokumen Digital Pribadi

2025-06-06T00:07:36+07:00

The rapid development of information technology has significantly transformed how university students manage their personal documents—from physical to digital formats. Despite this shift, many students still face challenges in managing digital documents systematically and securely. This study aims to examine students’ perceptions of the importance of personal digital document management in supporting academic and administrative activities. The research is grounded in digital literacy theory, the Theory of Planned Behavior, and document management principles as outlined in ISO 15489 and the Indonesian National Archives Regulation No. 26 of 2011. A descriptive quantitative method was employed, utilizing an online survey distributed to 32 active university students across Indonesia. The findings reveal that although the majority of respondents recognize the importance of digital document management, many lack the technical competencies necessary for effective implementation—such as structured file organization, consistent file naming, data backup, and information security. The study concludes that while students' attitudes are generally positive, their limited digital skills hinder consistent and reliable document management practices. Therefore, enhancing students’ digital literacy is essential to ensure efficient, secure, and accountable personal document management.

Analisis Persepsi Publik Terhadap Jurusan Kearsipan

2025-06-06T00:08:41+07:00

This research analyze public perceptions of Archives majors in higher education through a qualitative approach with a content analysis method. Data were obtained from the responses of ten Quora platform user accounts related to views on job prospects, specialization, and relevance of the Archiving major. The results showed that public perception of this major tends to be neutral to positive. The parameters “tone” and “competent” obtained the highest mean scores, each at 2.3, reflecting that the majority of responses were delivered in a supportive manner and by competent parties. However, the parameters “narrative” and “image” remained at an average score of 2, indicating that the public perception of the Archives major is not yet fully strong. The results show that the archives major should be seen as a relevant and strategic field in the digital age. These results underscore the importance of effective communication strategies, improved information literacy, and collaboration between students, professionals, and educational institutions.

Analisis Preservasi Arsip Sebagai Upaya Pelestarian Memori Kolektif Bangsa

2025-06-08T11:12:39+07:00

In the context of the digital era, the widespread dissemination of educational content related to archival preservation necessitates critical analysis to evaluate the public's capacity to comprehend, accept, and apply such information. This study aims to assess public perceptions of archival preservation as a means to safeguard the nation's collective memory, based on responses to educational content about preservation disseminated via social media. The theory employed in this study is content analysis. The methodology of this study adopts a quantitative approach that analyzes data using four parameters: tone, narrative, competence, and image. It aims to collect and process data in an objective, valid, reliable, and replicable manner. Based on an analysis of social media comments, the average scores for each parameter were as follows: Tone (1.9), Narrative (1.6), Competence (2.3), and Imagery (2.0). The overall mean score across all parameters was 1.95, which falls into the "Very Bad" category. These results indicate that social media content related to archival preservation has not yet been effective in fostering public understanding, interest, or positive engagement

Pengaruh Penerapan Kode Etik Akuntan Publik Terhadap Kualitas Audit dan Kepatuhan Profesional di Era Digital

2025-06-10T11:44:24+07:00

In the ever-evolving digital era, the public accounting profession is faced with new challenges that affect audit quality and professional compliance. The implementation of the public accountant code of ethics is very important to maintain the integrity and public trust in financial statements. This study aims to analyze the effect of implementing a code of ethics on audit quality and professional compliance, as well as the challenges faced by public accountants in implementing a code of ethics in the digital era. Through qualitative and quantitative analysis methods, this research collects data from various sources, including surveys and case studies, to provide in-depth insights into this topic