Firzatullah, Raden Muhamad
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Aplikasi Pengelolaan Arsip Surat: Studi Kasus di Sekolah Dasar Negeri Sari, Desti Yuvita; Rohman, Nur; Firzatullah, Raden Muhamad
JUSIFO : Jurnal Sistem Informasi Vol 9 No 1 (2023): JUSIFO (Jurnal Sistem Informasi) | June 2023
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v9i1.17485

Abstract

This research aims to utilize computers as a tool for implementing information technology to enhance an individual's role as an information intermediary in tasks and processes, including the collection, transmission, processing, interpretation, storage, organization, and utilization of correspondence data to obtain high-quality information. The initial implementation of letter archive management involved manual recording of letters each day using a book, leading to insufficient detailed records of both incoming and outgoing letters, often resulting in difficulties in retrieving correspondence and impeding operational efficiency. The system development method employed is the waterfall method, characterized by the requirement to complete each step before advancing to the next, ensuring a systematic approach. The stages include software requirement analysis, design, coding, testing, and maintenance. This study addresses the challenges associated with manual recording of correspondence data using books, overcoming issues of inaccuracy and lack of precision in recording both incoming and outgoing letters through the implementation of an archive management application. With the integration of this application, the letter data processing becomes more accurate, detailed, efficient, and prompt, especially with the structured storage of data in a database.
Spatial Skyline Query Based on Surrounding Environment Untuk Data Streaming Menggunakan Apache-Spark Firzatullah, Raden Muhamad; Djatna, Taufik; Annisa, Annisa; Andrianingsih, Andrianingsih
Jurnal Teknologi dan Sistem Komputer Volume 10, Issue 2, Year 2022 (April 2022)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2022.14268

Abstract

Previous research on Spatial Skyline Query Based on Surrounding Environment left a challenge in finding skyline objects that support the use of mobile devices. This study introduces a method that allows users to search for spatial objects dynamically. Cloud-based streaming data services are currently available to support the dynamic search of spatial skyline objects. Under these conditions, streaming data requires a longer processing time. This study aims to examine the effectiveness and efficiency of Apache-Spark in developing Spatial Skyline Query Based on Surrounding Environment in processing streaming data. Further implementation of the developed algorithm can provide better location access for users on mobile devices. Comparative analysis of algorithm execution time is performed by comparing algorithm processing on a single processor and cluster computing using various evaluation parameters. The test results on each parameter show that the computation time of the proposed algorithm on a single computation is not as good as the previous algorithm. However, in cluster computing, the proposed algorithm is superior
Transaction Analysis for Operational Optimization in Transjakarta Public Transportation System Lapatta, Nouval Trezandy; Hendra, Andi; Firzatullah, Raden Muhamad
IWJ : Inland Waterways Journal Vol. 6 No. 1 (2024): Inland Waterways Journal (IWJ:April)
Publisher : Politeknik Transportasi Sungai, Danau dan Penyeberangan Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54249/iwj.v6i1.204

Abstract

This study presents a comprehensive exploratory data analysis (EDA) of transaction data within the Transjakarta public transportation system, focusing on routes, passenger flow, and congestion patterns. Leveraging tap-in and tap-out transaction records collected through payment cards, the research aims to provide actionable insights for optimizing operational efficiency and enhancing service quality. By analyzing transaction data, the study identifies busy routes, peak hours, and passenger distribution across different modes of transportation, including big bus (BRT), medium and big bus (non-BRT), and mini-bus (Mikrotrans). Moreover, the research investigates correlations between transaction volume and traffic congestion levels, enabling the identification of areas prone to delays and bottlenecks. The findings of this analysis offer valuable information for route planning, scheduling adjustments, and infrastructure improvements within the Transjakarta system. By optimizing resources based on data-driven insights, the study seeks to contribute to the enhancement of public transportation services, promoting accessibility, reliability, and sustainability in urban mobility.