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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi Instal : Jurnal Komputer "Journal of Data Science
Parhusip, Nelviony
Unknown Affiliation
Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management

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Implementation of Bubble Sort to Sort Positive Integers in Ascending Using the Flowgorithm Application Jabar, Ami Abdul; Indrayani, Maida; Parhusip, Nelviony; Nasution, Darmeli
Bahasa Indonesia Vol 16 No 03 (2024): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i03.231

Abstract

This research utilizes computer technology and software as effective learning media. The Bubble Sort algorithm was chosen because it is simple but effective in sorting data. Using Flowgorithm as a visualization tool makes it easier to understand the algorithm and ensures correct implementation. The research methodology includes literature study, analysis of data sorting characteristics, and application of algorithms in Flowgorithm. The results show that Bubble Sort succeeded in sorting the data correctly according to ascending order, confirming the usefulness of the Flowgorithm application in learning algorithms and programming.
Analysis Of Licensing Data Using Naive Bayes And Decision Tree Algorithms To Evaluate The Performance Of Digital Public Services (Case Study: Invesment and One-Stop Integrated Services Office Of Medan City) Parhusip, Nelviony; Muhammad Iqbal; Zulham Sitorus
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 02 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i02.1290

Abstract

Digital public services have become increasingly essential with the rapid development of technology and information. Over the past six years, the digital transformation of public services at the Investment and One-Stop Integrated Services Office (DPMPTSP) of Medan City has been highly significant. This can be observed from the national implementation of Online Single Submission (OSS) and the “Si Cantik” online application by the Ministry of Communication and Information in 2018, the launch of the “Sipandu” digital service application in Medan City in 2022, and the inauguration of the Public Service Mall and “Si Medan Pantas” application in 2024. In this digital era, innovation in public service is a necessity that cannot be overlooked, especially in efforts to improve the efficiency and effectiveness of licensing processes. This study aims to evaluate digital public service performance by analyzing licensing data in Medan City. The methods applied in this research are Naive Bayes and Decision Tree algorithms, utilizing the Orange data mining tool to optimize the assessment of digital public service performance.The main findings of this study highlight the evaluation of public service performance and identify potential areas for innovation, ideas, or new insights to enhance future public service delivery..
Prediction of Building Permit Approval in Medan City Using the Naïve Bayes Algorithm for Investment Prospects Parhusip, Nelviony; Muhammad Iqbal
Journal Of Data Science Vol. 3 No. 01 (2025): Journal Of Data Science, March 2025
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/jds.v3i01.6461

Abstract

Property investment in Medan City has become increasingly important in line with economic growth and rapid infrastructure development. Over the past decade, property investment in Medan has shown significant growth, as evidenced by the expansion of residential areas, boarding houses, hotels, and integrated apartments such as Manhattan Square, Jati Junction, and Podomoro Deli Park. This study aims to predict and identify patterns of Building Permit Approval (PBG) in Medan City that are significantly related to investment prospects. The algorithm used in this study is Naïve Bayes, implemented using the Orange tool, which enables the prediction of building permit approvals in Medan City. The key findings of this study indicate the existence of significant building permit approval patterns and the identification of potential investment areas. The implications of this research are crucial for investors and developers in formulating more effective investment strategies
Co-Authors Indrayani, Maida Jabar, Ami Abdul Muhammad Iqbal Nasution, Darmeli Sitorus, Zulham