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All Journal JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Jurnal Ilmu Komputer dan Sistem Informasi
Bakri, Safa Nadia
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Library & Information Science

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Penerapan Metodologi Rekayasa Perangkat Lunak untuk Efisiensi Pengembangan Sistem Bakri, Safa Nadia; Nasution, Muhammad Irwan Padli
JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Vol. 3 No. 1 (2024): Desember 2024
Publisher : Cipta Media Harmoni

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53624/jsitik.v3i1.542

Abstract

Latar Belakang: Dalam pengembangan perangkat lunak, tantangan dalam hal efisiensi dan efektivitas sering kali muncul, terutama ketika menghadapi keterbatasan sumber daya untuk memenuhi tujuan kebutuhan pengguna Tujuan: Studi ini bertujuan untuk menyelidiki berbagai pendekatan untuk pengembangan perangkat lunak, termasuk berbagai pendekatan, seperti Waterfall, Prototyping, dan Quick Application Improvement (RAD), dengan penekanan pada peningkatan efisiensi dalam proses pengembangan. Metode: Dengan menggunakan metode Waterfall, Prototyping, Rapid Application Development (RAD), dan melalui analisis kualitatif, penelitian ini dapat membedakan preferensi dan kekurangan dari masing-masing strategi yang dapat dianalisis berdasarkan studi literatur yang ada. Hasil: Metode Waterfall menawarkan kemudahan dalam manajemen proyek, meskipun memiliki fleksibilitas yang terbatas. Di sisi lain, prototyping mendukung identifikasi kebutuhan yang berulang, namun cenderung mahal. Sementara itu, pendekatan Rapid Application Development (RAD) dapat mempercepat proses pengembangan, tetapi kurang ideal untuk proyek-proyek berisiko tinggi. Kesimpulan: Pemilihan metodologi yang tepat harus diselaraskan dengan kebutuhan spesifik dari pengembangan yang dilakukan untuk mengoptimalkan efisiensi dan kualitas program yang dibuat.
Analisis klasifikasi Algoritma K-Nearest Neighboar (K-NN) pada struktur Daerah di Kota Medan Bakri, Safa Nadia; Harahap , Lailan Sofinah
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 4 No. 2 (2025): Mei 2025
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v4i2.165

Abstract

This research aims to analyze the application of the K-Nearest Neighbor (KNN) algorithm in classifying regional structures in Medan City. Medan, one of the largest cities in Indonesia, has a variety of characteristics of regional structure that requires an appropriate analysis approach for spatial management and spatial planning. The KNN algorithm was chosen because of its ability to categorize data based on its proximity to other data points, which is very suitable for the needs of spatial planning and management. other data points, which is very suitable for the needs of regional classification analysis. In this research, the data used includes various attributes of the regional structure such as structure attributes such as population density, land use, and infrastructure in each sub-district. infrastructure in each sub-district in Medan City. In this research, the method used is statistical data processing statistical data processing to group areas with similar characteristics, using the KNN algorithm as a classification method. The classification process process involves selecting the right parameters, calculating the distance between data points, and selecting the optimal number of nearest neighbors. data points, as well as selecting the optimal number of nearest neighbors. The expected results The expected results of this analysis will provide a clear picture of the distribution pattern of the distribution pattern of the regional structure in Medan City, as well as assisting in the planning and development of a more efficient and directed city. The accuracy of the KNN model in classifying the regions will also be compared with other algorithms to assess its effectiveness and reliability in the context of this study.
Co-Authors Harahap , Lailan Sofinah Nasution, Muhammad Irwan Padli