Claim Missing Document
Check
Articles

Found 20 Documents
Search

Effect of Burnout on Performance of Marketing Employees Anwar, Khoirul; Sutisna, Ade Jaya; Kusnady, Diding; Marthalia, Lia; Dera, Firman
International Journal Of Education, Social Studies, And Management (IJESSM) Vol. 4 No. 2 (2024): The International Journal of Education, Social Studies, and Management (IJESSM)
Publisher : LPPPIPublishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52121/ijessm.v4i2.380

Abstract

Human resources from time to time have always been interesting for researchers because they provide several benefits for companies, employees, and society. This indicates that the existence of human resources in a company has an important role in achieving goals. This research aims to analyze effect of burnout on performance of marketing employees. This research uses a causal research type with a quantitative approach. The population in the study were employees in the marketing field. Samples were taken randomly to answer the hypothesis of 30 respondents. The method of data analysis in this study used simple linear regression analysis. Based on the research results show that burnout has a positive and significant effect on performance of marketing employees.
Community Empowerment through Strengthening Students' Competence through the Production of Eco-Enzymes at Al-Mashum Mardiyah Islamic Boarding School, Cugenang District, Cianjur Regency, West Java Nulhakim, Lukman; Lubena, Lubena; Marthalia, Lia; Salsabila, Anisa Felisia; Siswanto, Fraditya Hafiz
Unram Journal of Community Service Vol. 5 No. 4 (2024): December
Publisher : Pascasarjana Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ujcs.v5i4.772

Abstract

Al-Mashum Mardiyah is an Islamic educational institution located at Jalan Simpang Galudra number 76, Cugenang District, Cianjur Regency, West Java, 79.6 KM from the Faculty of Industrial Technology, Jayabaya University. This pesantren was founded because many children in Galudra Village dropped out of school, illiterate and married at a young age even though Galudara Village is not far from Jakarta. This pesantren has a junior high school, high school and vocational school, where graduates from this pesantren are expected to be experts in religion, science and technology based on the Qur'an. SMK Al- Ma'shum Mardiyah has a curriculum about agrotechnology that has an entrepreneurial spirit. The results of discussions with partners at the pesantren, there are problems regarding the production aspect, where the types of products produced by SMK students are still limited. In this PkM which was carried out on July 22 and August 26-30, partners were taught to produce eco-enzymes. The eco-enzyme is made from vegetable waste collected by vocational students around the school. The benefits of this activity are felt by the community because it can increase the type of production. The material presented was understood by 95% of the participants who attended the training
Kajian Literatur tentang Strategi Manajemen Sumber Daya Manusia dalam Meningkatkan Kesejahteraan Karyawan Gunawan, Budi; Marthalia, Lia
Educational Journal of Islamic Management Vol. 5 No. 1 (2025): Volume 5 Nomor 1 Mei 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ejim.v5i1.6003

Abstract

Artikel ini mengkaji literatur mengenai strategi manajemen sumber daya manusia (SDM) dalam meningkatkan kesejahteraan karyawan. Dengan menganalisis berbagai penelitian, ditemukan bahwa pengelolaan SDM yang efektif memainkan peran penting dalam menciptakan lingkungan kerja yang mendukung kesehatan fisik dan mental karyawan. Strategi seperti manajemen talenta, kebijakan kesejahteraan yang komprehensif, dan budaya organisasi yang positif terbukti signifikan dalam meningkatkan motivasi, kepuasan, dan keterikatan karyawan. Selain itu, praktik berkelanjutan dan evaluasi berkala terhadap kebijakan SDM juga menjadi faktor kunci dalam mencapai tujuan kesejahteraan karyawan. Rekomendasi bagi organisasi dan peneliti selanjutnya diberikan untuk mengoptimalkan implementasi strategi yang efektif.
The Role of Human Resource Management in The Succession Planning Process Hudiyah, Dewi; Sutarto, Bambang; Marthalia, Lia; Prayudo, Gito; Prihatini, Prihatini
Research Horizon Vol. 5 No. 3 (2025): Research Horizon - June 2025
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/rh.5.3.2025.630

Abstract

Organizations experience leadership deficits without succession planning, which can potentially lead to operational disruption and strategic failure. This study aims to uncover the contribution of Human Resource Management in Succession Planning, as well as identify the tactics and strategies implemented to support Leader Development. This study applies the Systematic Literature Review method to review articles on Human Resource Management and succession planning published between 2001 and 2024. The research process consists of identification, selection, evaluation, and integration, resulting in 11 related articles that provide a solid foundation for analysis and discussion. Based on the literature analysis conducted on 11 selected journals, which were further analyzed using thematic analysis method. The research findings indicate that active participation of HRM in Succession Planning not only strengthens Leader Development but also supports increased employee engagement and organizational culture. The implications of this study emphasize the need to incorporate HRM strategies in Succession Planning as a step to ensure leadership sustainability and improve overall organizational performance.
Systematic literature review: OCB's role in leadership impact on knowledge sharing Marthalia, Lia; Tukiran, Martinus
International Journal of Financial, Accounting, and Management Vol. 7 No. 2 (2025): September
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ijfam.v7i2.2742

Abstract

Purpose: This study aims to implement an Internet of Things (IoT)-based monitoring system to optimize photovoltaic (PV) system performance and ensure uninterrupted power supply for critical medical equipment, specifically ventilators and monitors, in the ICU room of RSI Siti Khadijah Palembang. Methodology/approach: This current study used a Systematic Literature Review (SLR) methodology to investigate related literature published between 2010 and 2024, identifying relevant publications through research in academic databases such as Dimensions AI. Results/findings: The results showed that TL, JS, and OC positively influence OCB, which in turn enhances SLB. Nevertheless, this study also revealed deficiencies in earlier studies, particularly concerning the function of OCB as a mediator. Conclusion: This study indicates that TL, JS, and OC can positively affect OCB, which then exerts a favorable influence on KSB. Limitations: The availability of research in specific circumstances presents a limitation to the study. Contribution: This study significantly enhances the understanding of how Organizational Citizenship Behavior (OCB) mediates the relationship between Transformational Leadership (TL), Job Satisfaction (JS), and Organizational Commitment (OC) concerning Knowledge Sharing Behavior (KSB), while also creating opportunities for the development of a more comprehensive model.
Optimalisasi Strategi Digital Marketing untuk Meningkatkan Penjualan Keripik Pisang (Tiens Banana Chips) di Kabupaten Subang Muharam, Hari; Fitriyani, Syabrina; Marthalia, Lia; Simanjuntak, Vera Clara
Jurnal Pengabdian Tangerang Selatan [JURANTAS] Vol. 2 No. 3 (2024): [September-Desember] Jurnal Pengabdian Tangerang Selatan: JURANTAS
Publisher : LAP4B

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58174/jrt.v2i3.169

Abstract

Digital Marketing adalah aktivitas pemasaran yang dilakukan melalui media digital, seperti internet, perangkat mobile, dan platform digital lainnya. Penelitian ini bertujuan untuk menganalisis pemanfaatan teknik digital marketing dalam meningkatkan angka penjualan serta memperluas pasar produk keripik pisang "Tiens Banana Chips" yang berlokasi di Kabupaten Subang. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan tipe studi deskriptif. Sumber data diperoleh melalui wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa strategi digital marketing yang diterapkan oleh "Tiens Banana Chips" meliputi perubahan pada strategi produk melalui penggantian kemasan, penetapan harga, dan pemasaran internet secara online. Media sosial seperti Instagram dan WhatsApp dimanfaatkan sebagai saluran utama untuk menyebarkan informasi dan melakukan promosi, sedangkan marketplace seperti Shopee digunakan untuk mengimplementasikan strategi pemasaran mereka.
Engagement at Scale: Experimental Evidence on Interactivity and Purchase Behavior in Indonesia’s Live Commerce Ecosystem Hanifah, Anisah Mutiara Zahra; Marthalia, Lia; Sapri
Data : Journal of Information Systems and Management Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v2i2.918

Abstract

This study investigates how interactivity influences consumer purchase decisions in live commerce, focusing on short video platforms in Indonesia. As digital retail rapidly expands across Southeast Asia, live commerce particularly on platforms like TikTok Shop by Tokopedia has become a dominant format for real time engagement and conversion. The objective of this research is to provide empirical evidence on the causal effects of interactivity during live shopping sessions on key performance indicators such as trust, click through rates, and paid orders. Using a randomized field experiment design, the study categorizes live sessions into three treatment groups representing different levels of interactivity (low, moderate, high). Quantitative data were collected from 90 sessions hosted by certified sellers, supplemented by post session viewer surveys. Key metrics include chat frequency, response time, Q&A participation, and viewer trust scores. Analytical techniques include regression models and mediation analysis. Results show that higher interactivity significantly enhances engagement and drives stronger outcomes at each stage of the purchase funnel. Paid order rates increased from 1.2% in low interactivity sessions to 3.6% in high interactivity sessions. Trust was identified as a statistically significant mediator between interactivity and purchase behavior, reinforcing existing digital commerce theories such as the Stimulus Organism Response (S O R) model. These findings have critical implications for platform developers, marketers, and policymakers. Optimizing live commerce features to encourage real time interaction can improve trust and conversion outcomes, particularly in culturally collectivist and regulatory sensitive markets like Indonesia. The research highlights the need for adaptive platform design and regulatory foresight to balance innovation with compliance.
Toward Resilient Networks: AI and Deep Learning Strategies for Intrusion Detection Marthalia, Lia
Digitus : Journal of Computer Science Applications Vol. 3 No. 2 (2025): April 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i2.881

Abstract

As cyber threats become more sophisticated and pervasive, the demand for advanced Network Intrusion Detection Systems (NIDS) has increased dramatically. This narrative review investigates the application of Artificial Intelligence (AI) and Deep Learning (DL) techniques in enhancing NIDS performance, aiming to address the limitations of conventional rule-based systems. The literature was systematically retrieved from reputable databases such as Scopus and IEEE Xplore using keywords including "Network Intrusion Detection," "Deep Learning," and "Cybersecurity." Inclusion criteria focused on peer-reviewed studies that utilized AI models for intrusion detection, particularly within complex domains like IoT and smart grids. The review identifies CNN, LSTM, and DNN as the dominant AI models employed in modern NIDS, achieving detection accuracies ranging from 88% to 99% across benchmark datasets such as NSL-KDD and CICIDS2017. These models also demonstrate reduced false-positive rates and enhanced detection of zero-day attacks. Despite their promise, challenges remain, including regulatory constraints, computational limitations in edge devices, and difficulties in model interpretability. Systemic organizational factors—such as leadership commitment, IT infrastructure readiness, and cybersecurity culture—further affect successful implementation. This study highlights the potential of AI-based NIDS as a strategic approach to cybersecurity enhancement and proposes solutions including Explainable AI, hybrid model designs, and federated learning. The findings support further research into cross-domain applications, model transparency, and real-time scalability to unlock the full potential of intelligent intrusion detection systems.
Real Time Traffic Engineering with In Band Telemetry in Software Defined Data Centers Nugroho, Aryo; Juwari; Marthalia, Lia
Digitus : Journal of Computer Science Applications Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i3.974

Abstract

As data centers scale to accommodate dynamic workloads, real-time and fine-grained traffic engineering (TE) becomes critical. Software Defined Networking (SDN) offers centralized control over data flows, yet its effectiveness is constrained by traditional telemetry mechanisms that lack responsiveness. In-Band Network Telemetry (INT) addresses this gap by embedding real-time path metrics directly into packets, enabling adaptive traffic control based on live network conditions. This study implements and evaluates INT in a programmable Clos fabric using P4 enabled switches. It compares three TE strategies: static ECMP, switch assisted CONGA, and INT informed INT HULA. The simulation incorporates synthetic and trace based data center workloads, including elephant flows and incast scenarios. Performance is assessed using flow completion time (FCT), queue depth, link utilization, and failure recovery speed. INT metadata sizes (32–96 bytes) are also analyzed to quantify overhead vs. performance trade offs. Results indicate that INT HULA consistently outperforms ECMP and CONGA. It reduces FCT by up to 50%, decreases queue occupancy by a factor of three, increases link utilization by more than 25%, and shortens reroute times from 85 ms to 20 ms. These gains are achieved with manageable telemetry overhead and without requiring hardware changes. INT’s real time visibility also improves decision making in centralized SDN controllers and supports hybrid TE architectures. In conclusion, INT fundamentally enhances SDN based TE by enabling closed loop, real time optimization. Its integration with programmable data planes and potential for AI based control loops positions it as a cornerstone of next generation data center networks.
Balancing Performance, Cost, and Sustainability in Software Engineering Munthe, Era Sari; Marthalia, Lia
Digitus : Journal of Computer Science Applications Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v3i3.1075

Abstract

The environmental impact of Information and Communication Technology (ICT) has become a global concern, especially with the increasing energy consumption of data centers, artificial intelligence, and software systems. This narrative review explores how green computing and sustainable software engineering practices can address these environmental challenges. Using a systematic search across Scopus, IEEE Xplore, Web of Science, and Google Scholar, the review identifies best practices in integrating sustainability across the software lifecycle. Key findings reveal that energy-efficient coding, optimized database systems, and green AI strategies can significantly reduce energy use and carbon emissions. Cloud and serverless architectures offer additional sustainability potential when paired with proper energy monitoring tools. The review also highlights how educational reforms and organizational governance play essential roles in promoting eco-conscious practices. However, challenges persist. These include limited awareness among practitioners, lack of standardized metrics for software sustainability, and weak cross-disciplinary collaboration. Regional disparities also influence adoption, with Europe leading due to stronger policy frameworks, while Asia and North America show mixed trends. This study concludes that integrating sustainability into software engineering requires both technical innovations and systemic reforms. Future research should focus on empirical validation of sustainability frameworks, development of standard evaluation metrics, and promotion of interdisciplinary approaches. Sustainable ICT practices are not only an environmental necessity but also a strategic imperative for the future of digital innovation.