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Influence of Job Training and Work-Life Balance on Employee Performance with Job Satisfaction as an Intervening Variable: Case Study at the Civil Service and Human Resource Development Agency of Tangerang Regency Alfarizy, Muhamad Akbar; Prahiawan, Wawan; Imron, Ali; Bin Harun, Asro
Journal of Business Management and Economic Development Том 3 № 03 (2025): Journal of Business Management and Economic Development
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/jbmed.v3i03.1955

Abstract

The aim of this research is to examine the impact of job training on employees’ performance as well as the significance of work-life balance in improving performance. In addition, it examines the association between job training plus in job satisfaction, along with how work-life balance influences satisfaction levels. The study research aims to evaluate the effect of staff contentment on work outcomes and its mediating role in integrating skills development and work-life balance with employee performance. The study employed a quantitative, descriptive methodology. This approach allows for a systematic measurement of variables and identification of patterns within the employee population. Data collection methods included observation, interviews, reviewing literature, and distributing questionnaires. The study population consisted of all employees at the BKPSDM Office in Tangerang Regency, based on data collected from 71 individuals selected using saturated sampling. Instrument validation and assessments of reliability were carried out on 30 employees outside the sample using IBM SPSS Statistics with Spearman rank correlation. Structural Equation Modelling (SEM) in SmartPLS 4.0 was utilized for data analysis. The analysis reveals that both job training and work-life balance contribute positively and meaningfully to employee performance. They additionally have a beneficial effect on job satisfaction, which subsequently enhances performance and mediates the influence of training Along with professional-personal equilibrium affecting employee results.
Analisis Literatur Review Perencanaan Strategi Sistem Informasi Menggunakan Metode Metode Five Competitive Force Pada CV. Bio Chitosan Indonesia Susan Juli Safitri; Gelar Alam Ramdhaniawan; Asro Asro; Novi Rukhviyanti
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 2 No. 4 (2024): November: Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v2i4.263

Abstract

The rapid development of science and technology, in line with the progress of time, has led to the increased use of personal computers, playing a crucial role in assisting human tasks. Additionally, the use of technology in work processes helps to improve speed and accuracy compared to not using technology. Today, Systems Information and Technology (SI/IT) are not only needed as tools to support an organization's operational activities but also as an essential aspect of business strategy to achieve organizational goals. Computer-based information systems have now become a primary necessity for fulfilling information needs. Many sectors have utilized computer information systems as a means to simplify tasks. Therefore, this journal will discuss "Information System Strategy Planning using the Five Competitive Forces."
Analisis Sentimen tentang Transformasi Program Makan Siang menjadi Makan Bergizi Gratis menggunakan Logistik Regression pada laman Youtube Asro, Asro; Sudaryono, Sudaryono
Jurnal ICT: Information Communication & Technology Vol. 24 No. 1 (2024): JICT-IKMI, Juli, 2024
Publisher : LPPM STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v24i1.257

Abstract

Abstract- This study delves into sentiment analysis concerning the transformation from a simple free lunch program to a nutritious free lunch initiative, based on user comments on YouTube. Employing logistic regression analysis with varied test sizes of 10%, 20%, and 30%, the data was rigorously examined to discern public opinion. Initial data collection through crawling from May to July 2024 yielded 5,390 comments, reflecting a significant engagement primarily in June. Post-processing categorized the sentiments as 1,682 negative, 634 neutral, and 958 positives. The classification accuracy varied: 85.32% (10% test size), 82.90% (20% test size), and 81.41% (30% test size), indicating the logistic regression model's effectiveness despite increasing data volume. This research underscores the utility of sentiment analysis in evaluating public reception and potential areas for improvement in governmental nutrition programs.
Public Sentiment Analysis on the 2024 Presidential Election Using Naive Bayes Classifier (NBC) and Support Vector Machine (SVM) On Social Media Data Asro, Asro; Azizah, Nur; Sudaryono
Prosiding Amal Insani Foundation Vol. 1 (2024): PROSIDING INTERNASIONAL
Publisher : Amal Insani Foundation

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

Abstract

This study aims to evaluate the effectiveness of the Naive Bayes Classifier (NBC) and Support Vector Machine (SVM) in analyzing public sentiment from YouTube comments related to the 2024 Indonesian Presidential Election. A total of 1,800 comments, collected from November 2023 to March 2024, were analyzed to test these models. The results show that SVM, with the highest accuracy of 76.33% and precision and F1-Score of 75.29% and 72.67% on the 10% test data, outperformed NBC, which recorded a highest accuracy of 72.19% under similar conditions. These findings highlight the importance of using more sophisticated methods in sentiment analysis to understand the complex and diverse dynamics of public opinion. This study provides valuable insights for stakeholders in developing effective communication strategies and offers a foundation for advancing sentiment analysis methodologies in political contexts.
Building A Chat App Using Website-Based Cryptography Padri, Abdul Robi; Asro, Asro
Jurnal Indonesia Sosial Teknologi Vol. 7 No. 1 (2026): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v7i1.9169

Abstract

One of the social media that is popular today among the general public is the short message application. This research aims to develop a secure web-based chat application by applying cryptographic algorithms, especially Advanced Encryption Standard (AES) and Rivest–Shamir–Adleman (RSA), to maintain the confidentiality of messages. The increasing use of instant messaging apps raises serious concerns regarding data privacy and information security. This research uses a system development approach that includes the design, implementation, and testing stages. AES is used for symmetric encryption of the message body, while RSA is used for secure key exchange. System testing is conducted in a local network environment that involves multiple users to evaluate the system's functionality and performance. The results show that the application is able to encrypt and decrypt messages with high accuracy, supports multi-user communication, and maintains the confidentiality of messages during transmission. In addition, performance testing shows that the encryption and decryption processes run efficiently within acceptable time limits. The conclusion of this study shows that the integration of AES and RSA algorithms in web-based chat applications is effective in improving the security of digital communications. The implication of this study is that the hybrid cryptographic approach can be practically implemented on web-based communication systems to improve user data protection, as well as potentially applied to a variety of other digital communication platforms that require a high level of security.
Klasifikasi Kemancetan Lalu Lintas di Indonesia Menggunakan Metode Naive Bayes Classification Padri, Abdul Robi; Asro, Asro; Chairuddin, Chairuddin
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 14 No. 2 (2023): JURNAL SIMETRIS VOLUME 14 NO 2 TAHUN 2023
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v14i2.10102

Abstract

Tujuan dari penelitian ini untuk data menganalisis akurasi kemancetan menggunakan google colab  dalam mendeteksi kemacetan berdasarkan provinsi di indonesia, penulis mencoba menguji strategi dalam menangani Kemacetan wilayah indonesia, dengan memanfaatkan metode naive bayes. Pada jurnal ini menerapkan dengan google colab. Penelitian ini memakai data yang bersumber dari crawling data di twiter. Penggunaan metode naive bayes dalam mencari Rute terpendek efesien dan tidak mancet. Penerapan Angkot Sekolah online menggunakan Metode naive bayes dalam Minimalisir Biaya Perjalanan menjemput Siswa dapat mengurangi macet, mengurangi kecelakaan, mengurangi waktu keterlambatan siswa, minimalisir ongkos perjalanan. Saran yang diberikan yaitu menjadi bahan evaluasi bagi pemerintah dalam menangani Kemacetan di indonesia, secara efisien, aman dan transparan.