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All Journal Jurnal Simetris Jurnal Ilmu Administrasi Negara (JUAN) EKUITAS (Jurnal Ekonomi dan Keuangan) Jurnal ICT : Information Communication & Technology Journal of Applied Data Sciences Kresna: Jurnal Riset dan Pengabdian Masyarakat Journal Of World Science Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Indonesia Sosial Teknologi Indonesia Auditing Research Journal Journal of Business Management and Economic Development Prosiding Amal Insani Foundation (Indonesian of Interdisciplinary Journal) Horizon: Indonesian Journal of Multidisciplinary Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi INOVTEK Polbeng - Seri Informatika Green Engineering: Journal of Engineering and Applied Science Integrated System and Management Technology Big Data Analytics and Data Science
Asro Asro
Universitas Primagraha
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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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."
Comparative Evaluation of Preprocessing Techniques in Twitter Sentiment Analysis for Indonesia’s 2024 Regional Elections Asro; Solihin
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/tt65bb54

Abstract

The rapid expansion of social media has positioned Twitter as a critical platform for capturing public opinion during political events, including Indonesia’s 2024 Regional Elections. This study investigates the impact of preprocessing strategies and class balancing on the performance of sentiment analysis models applied to election-related tweets. An initial dataset of 9,096 tweets was collected and refined into 6,202 relevant entries from 2024–2025 through text cleaning, normalization, tokenization, and duplicate removal. Sentiment distribution analysis reveals a dominance of positive sentiment (58.4%), followed by negative (33.6%) and neutral (8.0%) expressions. Two classical machine learning classifiers—Naïve Bayes and Logistic Regression—were implemented using TF–IDF feature representation. To address class imbalance, the Synthetic Minority Oversampling Technique (SMOTE) was applied exclusively to the training data, and hyperparameter optimization was conducted using GridSearchCV. Model evaluation employed an 80/20 train–test split with accuracy, precision, recall, F1-score, and confusion matrices as performance metrics. Experimental results indicate that logistic regression combined with SMOTE and hyperparameter tuning achieved the highest accuracy of 93.08%, outperforming Naive Bayes. The findings confirm that carefully designed preprocessing pipelines and class balancing significantly enhance the reliability of sentiment classification in political social media analysis.
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.
Strategi Pengembangan Bisnis Laundry Berbasis Online Asro; Istiharoh, Iis
Prosiding Amal Insani Foundation Vol. 2 (2023): PROSIDING NASIONAL
Publisher : Amal Insani Foundation

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

Abstract

In the modern digital era, technology and social media are crucial in supporting businesses, including the laundry business. This business falls under the category of Micro, Small, and Medium Enterprises (MSMEs) that operate in the service sector. Xilaundry, located in Serang Regency, Banten Province, exemplifies how MSMEs utilize technology in their operations. Xilaundry uses social media platforms such as WhatsApp, Instagram, and Facebook for marketing and promotional strategies. Two payment methods are available for customers: conventional (pay on the spot) and digital (ATM, mobile banking, OVO, and Gopay). Xilaundry implements a SWOT analysis for its business strategy development. The results show that Xilaundry's business is feasible to run. Xilaundry's finances record a monthly turnover of IDR 6,570,800 and a cash expenditure of IDR 2,890,000. This generates a net profit of around IDR 2,743,800 per month. Thus, Xilaundry can generate a net income of approximately IDR 34,680,000 in a year. In the SWOT and social media context, Xilaundry can leverage its strength in using social media for marketing and promotion (strength). However, they must maintain service quality to avoid weaknesses in service (weakness). The opportunity that Xilaundry can take is the increase in social media and digital payment users (opportunity), while threats can come from competitors who also use social media in their marketing strategies (threat).
Building A Chat App Using Website-Based Cryptography Abdul Robi Padri; 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.
THE ROLE OF HUMAN RESOURCE MANAGEMENT (HRIS) IN EFFICIENCY AND EFFECTIVENESS TOWARDS GREEN BUSINESS Ali Imron; Rivaldi Arif; Dikri Gifari; Dickson P. Aritonang; Asro Bin Harun
EKUITAS (Jurnal Ekonomi dan Keuangan) Vol 8 No 4 (2024): December
Publisher : Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya(STIESIA) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24034/j25485024.y2024.v8.i4.6821

Abstract

Traditional human resource management (HRM) has been considered a failure in developing the human resource information system (HRIS) to change the paradigm of green business. Thus, this study aims to explain the changes, roles, and challenges of HRIS in the effectiveness and efficiency of the currently developing Green Business. It is qualitative research with the support of national or international journals, accredited and reputable proceedings, reference books, and reference journal mapping through https://researchrabbitapp.com. As a result, HRIS can overcome traditional HRM problems because it is conducted digitally and easily. The application of Green Human Resource Management (GHRM) can significantly increase competitiveness, improve the quality and productivity of the workforce, and maintain environmental integrity. Supporting the development of Green Businesses or businesses that focus on environmental sustainability. In conclusion, the transformation of HRM in utilizing HRIS is inevitable so that it can play an effective and efficient role. The utilization of HRIS can develop and be sustainable through innovation and information systems technology development towards green business and suggestions for HRIS development. Furthermore, it should be followed and carried out with sustainability along with developments of green business in line with Industrial Revolution 6.0.  
The Effect of Voltage Quality Variations on The Performance and Operational Lifespan of Electronic Equipment in the Electrical System of Educational Buildings Salsanabila Mariestiara Putri; Asro; Tb. Ade Rahmatullah; Mujiburohman; Amir Akbar Wicaksono
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary (In-Press)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i3.5504

Abstract

This study aims to analyze the effect of voltage quality variations on the performance and estimated operational lifespan of electronic equipment. The study uses a quantitative explanatory approach with a field measurement design (in-situ) through the use of a power quality analyzer and supporting instruments. Data were analyzed using descriptive statistics, correlation analysis, and multiple linear regression. The results show that voltage quality variations occur unevenly, with the highest level of disturbances in areas with high electronic load density. Total harmonic distortion (THDv), voltage sag, and voltage unbalance are the most dominant factors influencing performance degradation and accelerating equipment operational degradation. The regression model shows a significant effect with strong explanatory power. This study confirms that voltage quality variations directly impact short-term performance and contribute to equipment operational lifespan reduction through the accumulation of electrical and thermal stress, making power quality management a crucial aspect in improving system reliability and efficiency of educational building facility management
BRIDGING ACADEMIA AND INDUSTRY: A SYSTEMATIC LITERATURE REVIEW OF SOFTWARE ENGINEERING EDUCATION APPROACHES AND THEIR EFFECTIVENESS Aliyah Aliyah; Asro Asro; Achmad Rozi; M. Adhit Dwi Yuda
Prosiding Amal Insani Foundation Vol. 3 (2026): PROSIDING INTERNASIONAL
Publisher : Amal Insani Foundation

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

Abstract

The gap between academia and industry remains a major challenge in software engineering education. Rapid technological change requires graduates to possess not only strong theoretical knowledge but also practical competencies, collaboration skills, and familiarity with real software development practices. This study presents a Systematic Literature Review (SLR) examining educational approaches used to bridge the academia-industry gap in software engineering education. A total of 54 scientific articles published between 2015 and 2024 were reviewed through a structured selection process based on PRISMA principles. The review focuses on curriculum design, project-based learning, agile-based education, industry collaboration, capstone projects, internships, and competency-based assessment. The findings show that project-based learning, agile learning, industry partnerships, and internship programs are the most frequently used approaches to improve students' readiness for professional roles. However, challenges remain in aligning university learning outcomes with rapidly changing industry expectations, particularly regarding practical experience, soft skills, and exposure to real tools and workflows. This article provides recommendations for strengthening software engineering education through adaptive curricula, stronger industry involvement, and continuous competency-based evaluation.
Co-Authors Abda Abda Abdul Robi Padri Abdul Robi Padri Abdul Robi Padri Achmad Rozi Agung Wicaksono Alfarizy, Muhamad Akbar Ali Imron Aliyah Aliyah Alwin Hartono Limaran Amir Akbar Wicaksono Amiruddin Amiruddin Bahiroh, Eloh Bentar Priyopradono Chairuddin Chairuddin Dewi Kania Dewi, Deshinta Arrova Dickson P. Aritonang Dika Hilaldi Dikri Gifari Febri Adi Prasetya Gelar Alam Ramdhaniawan Henderi . Ida Ayu Putu Sri Widnyani Iis Istiharoh Indra Indra Irlon Irlon Istiharoh, Iis John Chaidir Kambara, Roni Kurniawan, Tri Basuki M Yusron M. Adhit Dwi Yuda M. Yusron M. Yusron Mashal Alqudah Meisa Monica Muhamad Furqon Mujiburohman Mukhsin, Moh Novi Rukhviyanti Nur Azizah Padri, Abdul Robi Patah Herwanto Riandika Aji Mehendra Rivaldi Arif Salsanabila Mariestiara Putri Setiawati, Firda Solihin Solihin Solihin Sudaryono Sudaryono Sudaryono Sudaryono Sudaryono Sulaiman, Agus Susan Juli Safitri Tb. Ade Rahmatullah Thalia, Shelma Najwa Tiara Nabillah Wondu Tuti Susilawati Wawan Prahiawan