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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Kajian Ilmiah Teknologi Informasi dan Komputer
Sihaloho, Dumariana
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Library & Information Science Social Sciences

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Implementasi Algoritma Golomb Code Dalam Mengkompresi Record Database Sihaloho, Dumariana
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 7, No 1 (2024): Transformasi Komputasi Kuantum Untuk Percepatan Teknologi Baru
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v7i1.8041

Abstract

In this digital era, everything is digital-based and many applications have been created to make all work easier or used as a means of entertainment. Several existing applications currently have a database as a place to store their data. Currently, the database that is still frequently used is MySQL, this is because MySQL is an open source database server application. The data in the database is called records, the more records stored, the larger the size of the database. The design of this system consists of several main processes, namely the compression process and decompression process as well as the performance calculation process for Compression Ratio (CR), Ratio of Compression (RC), Rendudancy (RD), and Space Saving (SS). In this research the author uses the Golomb Code algorithm, a compression technique introduced by Solomon W. Golomb in the 1960s, which is a lossless compression technique, where this algorithm is capable of compressing large capacity data into smaller capacity data and The original data can be reconstructed after decompression. The performance results of the Golomb Code algorithm aim to determine its performance on database records. In this algorithm there are two stages, namely compression and decompression, the compression stage aims to compress the file size and the decompression stage aims to return the file size to its original size. The results of the application that the author carried out manually with the Golomb Code algorithm are Ratio of Compression (RC) = 1.56, Compression Ratio (CR) = 64.04%, Rendudancy (RD) = 35.95%, Space Saving (SS) = 35.96% with the conclusion that the percentage of database record compression results using the Golomb Code algorithm was declared successful.
Analisa Aplikasi Keluhan Pelanggan Pada Pt Pln Ulp Medan Selatan Dengan Metode Servqual Situmorang, Cathrin Desri Natalia; Sihaloho, Dumariana
Jurnal Kajian Ilmiah Teknologi Informasi dan Komputer Vol 1 No 2 (2023): May 2023
Publisher : CV. Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/jutik.v1i2.82

Abstract

PLN (Persero) is a state-owned organization owned by the majority of the public that has the capacity as a provider of electricity frameworks spread throughout Indonesia. The most common way to check customer complaints is by using the website in particular to provide information. Where this takes a few minutes to take care of customer complaints more quickly and accurately. So it can contribute with information to utilize websites that make information more coordinated with PCs which makes it easier to track information, process information, and report customer complaints quickly. This exploration provides an outline of the timeliness spent on filing customer complaints by utilizing a website-based framework. With this website-based framework, it will facilitate the process of inputting data for a more accurate information so that it can work in the most common way of finding and providing clearer information and all the data is more accurate, it can be formed according to customer wishes. One of the methods that can be used to measure customer complaints is the servqual method. This method makes a thorough evaluation of customer complaints,. The evaluation is completed in 5 components of administrative quality, namely: Tangibles (direct evidence), Reliability (reliability), Responsiveness (responsiveness), Assurance (assurance), Emphaty (attention). Customer dissatisfaction exists due to an imbalance between customer expectations and perceived service performance.
Co-Authors Situmorang, Cathrin Desri Natalia