Transformasi Teknologi Elektronik melalui Aplikasi Sistem e-Syariah dan i-Syariah dalam Sistem Pengurusan Mahkamah Syariah di Malaysia

Implimentasi teknologi maklumat dalam institusi kehakiman syariah disambut baik oleh semua mahkamah syariah negeri di Malaysia melalui aplikasi sistem e-Syariah. Inovasi dan transformasi teknologi elektronik ini diteruskan oleh sebahagian mahkamah syariah termasuk mahkamah syariah di Sarawak yang membangunkan sistem baharu yang dinamakan i-Syariah, iaitu Sistem Pengurusan Pintar Syariah. Artikel ini bertujuan menganalisis pembangunan sistem Pengurusan Mahkamah Syariah melalui sistem e-Syariah pada peringkat Persekutuan dan i-Syariah yang diaplikasikan di Sarawak. Penelitian juga dilakukan terhadap modul yang dibangunkan dalam sistem e-Syariah dan i-Syariah bagi dapatan maklumat penyelidikan yang menyeluruh. Metodologi penyelidikan dilakukan secara kualitatif terhadap perkembangan pembangunan sistem e-Syariah dan sistem i-Syariah serta melaksanakan metode komparatif dengan membandingkan sistem yang diguna pakai di mahkamah sivil dengan kandungan sistem yang diaplikasikan di institusi kehakiman syariah. Penyelidikan ini mendapati bahawa transformasi teknologi elektronik mahkamah syariah kurang menunjukkan perkembangan berbanding mahkamah sivil yang telah mengaplikasi e-Filing system (EFS), Case Management System (CMS), Queue Management System (QMS), Court Recording and Transcribing (CRT), Artificial Intelligence (AI) dan Community and Advocate Portal System (CAP). Walau bagaimanapun berdasarkan pelan pembangunan i-Syariah maka sistem-sistem yang diguna pakai pada peringkat mahkamah sivil ini akan diimplimentasikan di mahkamah syariah Sarawak untuk memastikan transformasi informasi teknologi maklumat seiring dengan perkembangan teknologi digital di Sarawak.

Discrete event simulation applied to single queue management: a case study at a bank agency

Capacity and queue management are currently used in financial institutions. With decreasing bank units due to internet services, research in this field has focused on improving to utilize their employees efficiently and achieve service excellence. In developing countries like Brazil, the customer has become more bank-accounted due to government and labor requirements, such as the wage credit became mandatory in the wage account. The paper's aim is motivated by a real-life case study to simulate discrete events to improve queue management at a Brazilian bank branch with the Arena software simulation environment. The simulation model was designed, tested, and applied considering the Discrete Event Simulation (DES) replication for queuing strategies on a real-world banking scenario. The arrival and service times were collected from 115 customers in Ferraz de Vasconcelos/SP city. It was performed in version 15.10 (2018) of the Arena software, with processor Intel core i3 CPU dual-core 3.07 GHz and 8GB of RAM. The results indicate that the bank agency should consider providing 9 to 11 operators to attend customers considering the arrival and service rate.

Queue Management Benchmark for Modelling Patients' Flow in Nigerian Public Hospitals

Although queue management in hospitals is widely researched, little is known about the benchmark for modelling patients flow in terms of the optimal number of servers required for effective service delivery. This study applied the queuing theory to the Nigerian public hospitals by setting a benchmark for modelling patients flow. A mixture of survey and observation was adopted to garner data for 30 days from patients in six public hospitals in Nigeria. Data were subjected to performance analysis via the Temporary Ordered Routine Algorithm. The computed performance values were further compared with their acceptable benchmarks for multi-server queues through the General Purpose System Simulator. We found the queuing system in the select hospitals not in congruence with the system performance benchmark; the mean service rate in each facility was low compared to the mean arrival rate; and the simulated number of doctors for were below the modelled benchmark. Managerial implications of findings were discussed.