Publikasi Universitas Mercu Buana
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Improving Employee Performance Through Work-Life Balance: a Study on the Mediation of Job Satisfaction and Work Stress at Pln Aceh Province
No full textObjectives: This study examines the relationships between Work-Life Balance (WLB), job satisfaction, work stress, and employee performance. The aim is to explore how WLB directly influences job satisfaction and employee performance, while also assessing the mediating role of job satisfaction and the moderating effect of work stress.Methodology: A quantitative approach was used, employing a survey method. Data were collected from 160 employees of PLN in Aceh Province through simple random sampling, resulting in 135 valid responses. Structural Equation Modeling (SEM) was applied using SmartPLS to analyze the correlations between the variables.Findings: The study reveals that WLB significantly enhances both employee performance (0.648) and job satisfaction (0.794). Moreover, WLB is negatively correlated with work-related stress (-0.221). Job satisfaction mediates the relationship between WLB and employee performance (0.11), while WLB indirectly boosts performance by reducing work stress (0.68).Conclusion: Work-life adjust features a considerable positive affect on representative execution by cultivating work fulfillment and diminishing work-related push. Empowering WLB through adaptable approaches and wellness activities can upgrade worker well-being and contribute to made strides organizational execution.
Implementation of Integrated Digital Onboarding Strategy in the Ministry of Transportation for Organizational Alignment and Adaptation
No full textObjectives: The digital transformation in human resource management has led organizations to adopt digital onboarding as a strategy to accelerate new employee adaptation and enhance alignment with organizational values. This study aims to analyze the impact of digital onboarding on organizational value alignment and adaptation speed while examining the mediating role of organizational value alignment in this relationship.Methodology: This study employs Partial Least Squares - Structural Equation Modeling (PLS-SEM) to analyze data collected from new employees at the Ministry of Transportation.Finding: The results indicate that digital onboarding significantly influences organizational value alignment (β = 0.67, p < 0.001) and employee adaptation speed (β = 0.59, p < 0.001). Additionally, organizational value alignment mediates the relationship between digital onboarding and adaptation speed (β = 0.32, p < 0.001), emphasizing the importance of value internalization in the adaptation process.Conclusion: These findings confirm that effective digital onboarding enhances new employee integration and understanding of organizational values. Organizations should design more interactive and experience-based digital onboarding programs to maximize their impact on employee adaptation
Development of face image recognition algorithm using CNN in airport security checkpoints for terrorist early detection
No full textEnsuring airport security is of paramount importance to safeguard the lives of passengers and prevent acts of terrorism. In this context, developing advanced technology for early terrorist detection is crucial. This paper presents a novel approach to enhancing security measures at airport checkpoints by applying Convolutional Neural Network (CNN) and Artificial Neural Network (ANN) algorithms in face image recognition. Our system utilizes state-of-the-art artificial intelligence techniques to analyze facial features. Our research uses VGG architecture and pre-trained with face data as a CNN model. This model is used to extract face embedding features from the dataset. These embedding features are then compressed with Principal Component Analysis (PCA) to obtain the meaningful feature as training data for the ANN algorithm. We trained our system using data from 500 identities data with 60 data for each identity. This training enables our system to recognize known terrorists and individuals on watchlists by comparing the facial features of individuals passing through security checkpoints with those in the database. The proposed CNN-ANN-based face recognition system not only enhances airport security but also significantly reduces the processing time for security checks. It can quickly identify potential threats, allowing security personnel to take appropriate actions in real time ensuring a rapid response to security concerns. We present the architecture, training methodology, and evaluation of the CNN-ANN model, achieving a high accuracy of 91.16% and precision of 91.36%. Through this research, we aim to increase airport security and strengthen efforts to combat terrorism, making air travel safer and more secure for all passengers.
Effect of building designation on parking characteristics, road performance, and zoning regulation
No full textIf the capacity of the parking zone on buildings with great trip attractiveness rates is inadequate, it usually triggers on-street parking activity and its unintended derived impacts. Unfortunately, although this unintended situation may decrease traffic and road environmental quality, a similar situation always occurs. The initial field observation's result indicates that a change in building utilization may have influenced it. So, this study aims to assess the effect of parking accumulation rates due to a change in building utilization on the parking index and its impacts on road performance, including traffic accident risk. The existing parking index is influenced by parking accumulation and capacity, while the planning parking index is determined by comparing the parking accumulation and standardized parking space. In addition, the effect of on-street and road performance was assessed using results from similar previous studies. It was found that a change in building function significantly impacts the existing parking index value. It could not accommodate the increased trip rate, resulting in on-street parking activity. It influences a decrease in road capacity, travel speed, air pollutants, and sight distance (increasing accident risk level). This indicates that an institutional strengthening capability represented in an appropriate zoning regulation, which describes the type, number, and scale of activities allowed to be built in a particular corridor, is a compulsory requirement. Consequently, the ladder of urban land use planning should be re-reviewed. Implementing this new concept should be considered, especially in an urban fast-growth corridor.
Inventory optimization model using Artificial Neural Network method and Continuous Review (s,Q)
No full textThe medical device industry company experienced the problem of prolonged accumulation of finished goods in the warehouse, causing one of the safety box items to be defective and damaged. Therefore, this study aims to plan demand forecasting and design inventory policies that consider repair items caused during the buildup of finished goods in the warehouse to minimize total inventory costs using ANN and Continuous Review (s,Q) methods. Demand forecasting is carried out for the next 20 months, from May 2023 to December 2024, using the ANN model with a total forecasting of 17936 units of inner items and 3370 units of outer items. After that, the inventory policy calculation uses the continuous review (s,Q) method. The calculation results show a decrease in the total inventory cost on inner items by 83% and outer items by 79%. After demand forecasting, there was also a decrease in the total initial inventory cost of inner items by 81% and outer items by 80%. This research develops an inventory optimization model that considers repair items due to the accumulation of goods in the warehouse by integrating holding cost, ordering cost, and repair cost variables to develop inventory policies to be more effective and efficient and to utilize damaged products for repair and resale. The limitation of this research is that it only gets demand forecasting results for the next 20 months because the company only started operating in September 2021 and limited data access. It is hoped that future researchers can plan and design an inventory policy strategy with demand forecasting for the next 10 years, focusing on repair items caused by the accumulation of finished goods in the warehouse
Support Vector Machine (SVM) based Detection for Volumetric Bandwidth Distributed Denial of Service (DVB-DDOS) attack within gigabit Passive Optical Network
No full textThe dynamic bandwidth allocation (DBA) algorithm is highly impactful in improving the network performance of gigabit passive optical networks (GPON). Network security is an important component of today’s networks to combat security attacks, including GPON. However, the literature contains reports highlighting its vulnerability to specific attacks, thereby raising concerns. In this work, we argue that the impact of a volumetric bandwidth distributed denial of service (DVB-DDOS) attack can be mitigated by improving the dynamic bandwidth assignment (DBA) scheme, which is used in PON to manage the US bandwidth at the optical line terminal (OLT). Thus, this study uses a support vector machine (SVM), a machine learning approach, to learn the optical network unit (ONU) traffic demand patterns and presents a hybrid security-aware DBA (HSA-DBA) scheme that is capable of distinguishing malicious ONUs from normal ONUs. In this article, we consider the deployment of the HSA-DBA scheme in OMNET++ to acquire the monitoring data samples used to train the ML technique for the effective classification of ONUs. The simulation findings revealed a mean upstream delay improvement of up to 63% due to the security feature offered by the mechanism. Besides, significant reductions for the upstream delay performance recorded at 63% TCONT2, 65% TCONT3, and 95% TCONT4 and for frame loss rate reduction for normal ONU traffic, respectively, were observed in comparison to the non-secure DBA mechanism. This research provides a significant stride towards secure GPONs, ensuring reliable defense mechanisms are in place, which paves the way for more resilient future broadband network infrastructures
Pengaruh Pendampingan Sertifikasi Halal Terhadap Kepuasan Pelaku Usaha dan Sebagai Strategi Keberlanjutan Usaha Mikro Kecil
No full textPada tahun 2010, pasar makanan halal global meningkat dari USD 587,2 miliar menjadi USD 641,5 miliar. Program sertifikasi halal mengantisipasi perubahan gaya hidup masyarakat yang akan berdampak pada perubahan permintaan barang halal dan kesiapan untuk menawarkan produk halal. Indonesia, salah satu pusat dari sektor halal, menghadapi masalah dalam memenuhi permintaan produk halal. Banyak bisnis yang beroperasi di area wisata religi di sekitar makam Gus Dur, yang mengkhususkan diri dalam penjualan makanan dan minuman. Dengan membantu dan mendaftarkan diri, hal ini mendorong pentingnya program sertifikasi halal. Sebagai langkah strategis dalam keberlanjutan usaha mikro dan kecil, tujuan dari penelitian ini adalah untuk memastikan bagaimana dukungan sertifikasi halal mempengaruhi kepuasan pelaku usaha. Penelitian ini menerapkan metode Servqual secara deskriptif kuantitatif. Berdasarkan hasil uji korelasi Pearson menunjukkan semua item pernyataan dalam instrumen penelitian ini dinyatakan valid dimana nilai signifikansi (sig.) < 0,05 dan koefisien korelasi (r) melebihi nilai r-tabel 0,36, sedangkan untuk uji reliabilitas berdasarkan nilai Cronbach’s Alpha masing-masing variabel berada di atas 0,70. Selain itu hasil uji kesenjangan (gap) dengan perhitungan servqual menunjukkan semua dimensi bernilai positif yang artinya para pelaku usaha/UMKM merasa puas dengan kinerja program pendampingan sertifikasi halal gratis dan merasakan dampak secara langsung terhadap usaha/bisnisnya secara berkelanjutan
Penerapan Metode Single Minute Exchange of Dies (SMED) untuk Mempercepat Proses Dandori Pada Mesin Robodrill di Perusahaan Komponen Otomotif
No full textPerusahaan manufaktur otomotif memproduksi berbagai model komponen otomotif dengan tingkat kesulitan produksi yang tinggi, menyebabkan adanya waktu dandori atau waktu setup proses pergantian part dan pergantian tools pada part C81 di mesin Robodrill line PD4 mencapai total rata-rata 2.139.000 detik selama periode Juli hingga Desember 2022. Oleh karena itu, perlu dilakukan pengurangan waktu tersebut untuk dijadikan standar perusahaan. Langkah perbaikan waktu dandori di mesin Robodrill dilakukan menggunakan metode Single-Minute Exchanged of Dies (SMED) dengan siklus PDCA 8 langkah dan basic 7 tools. Setelah dilakukan analisis akar masalah, ditemukan penyebabnya berasal dari faktor machine, methode, dan environment. Perbaikan pada faktor machine melibatkan pembuatan stopper dengan desain sistem plug & play yang mempermudah proses pergantian stopper dan mengubah cara pengukuran tool (zero sett, Z Axis), pada faktor method ditambahkan sistem program makro pada menu tool offset, dan faktor environment dibuat alat penggantian tool di area mesin Robodrill 3 line PD4. Hasil yang didapat setelah perbaikan adalah penurunan waktu dandori pergantian part dan pergantian tool dari sebelumnya 850 detik menjadi 478 detik, dengan persentase efisiensi waktu sebesar 44%. Dan penghematan biaya sebesar Rp 6.585.600 per tahun dengan ROI selama 0,4 tahun atau 5,2 bulan
Perancangan Panduan Aplikasi Digital dalam Penerapan dan Sertifikasi ISO 9001
No full textISO 9001 merupakan sistem manajemen mutu yang mampu mendorong organisasi untuk konsisten mempertahan kan dan meningkatkan kualitas. Indonesia memiliki peringkat relatif rendah yaitu urutan ke-empat di ASEAN dalam jumlah sertifikasi ISO 9001. tentu saja ada banyak faktor penyebab, di antaranya patut di sayangkan bahwa sistem implementasi dan pengendalian dokumen mutunya saat ini masih konvensional, dari cara membuat prosedur, penerbitan, revisi dan pengendaliannya masih dilakukan secara konvensional dan masih tidak paperless. Dari observasi awal studi ini, dari 30 perusahaan yang menerapkan sistem ISO 9001 ini, hampir semuanya atau 100% manual baik dalam membuat prosedur, revisi, dan pengendalian dokumen mutunya. Paper ini menawarkan perancangan panduan aplikasi digital dalam penerapan dan sertifikasi ISO 9001 yang sederhana, praktis dan murah. Hasil studi ini telah diuji diterapkan di sebuah organisasi yang berjalan efektif berhasil
Pengembangan Model Sinkronisasi Distribusi Dua Eselon pada Urban Consolidation Center (UCC) di Sistem Logistik Perkotaan
No full textDistribusi logistik dua eselon di kawasan perkotaan menghadapi tantangan kompleks, seperti keterbatasan kapasitas kendaraan, kapasitas penyimpanan, dan optimasi rute distribusi. Penelitian ini bertujuan mengembangkan model matematis untuk menyinkronkan distribusi dua eselon pada sistem Urban Consolidation Center (UCC), dengan mengintegrasikan aspek inventori dan perutean kendaraan secara simultan. Model mencakup tiga skema distribusi pada eselon pertama (Direct & No Inventory, Direct–Inventory, dan Route–Inventory). Optimasi pada eselon pertama diselesaikan menggunakan AMPL dengan solver CPLEX, sedangkan persoalan distribusi pada eselon kedua diseleaikan dengan pendekatan Economic Order Quantity (EOQ) dan algoritma Large Neighborhood Search (LNS). Eksperimen dilakukan dengan berbagai skenario, seperti jumlah retailer, supplier, dan biaya penyimpanan. Skema ketiga (Route & Inventory) terbukti menghasilkan total biaya logistik paling rendah, dengan efisiensi biaya yang konsisten di berbagai konfigurasi, mencapai penghematan sebesar 20 - 60%. Model ini berkontribusi dalam perancangan sistem logistik perkotaan yang lebih hemat biaya dan efisien