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All Journal Jurnal Manajemen Informatika & Teknologi Jurnal Sains Student Research
Muhamad Rizky Syakban Barokah
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Computer Science & IT Other

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Perbandingan Kinerja Algoritma Bubble Sort dan Insertion Sort dalam Pengurutan Data Penjualan UMKM Muhamad Rizky Syakban Barokah; Tio Saputra; Tata Sutabri
Jurnal Manajemen Informatika & Teknologi Vol. 5 No. 1 (2025): Mei : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/h0k3zg44

Abstract

Data sorting is a fundamental process in managing sales information within micro, small, and medium enterprises (MSMEs). The choice of an appropriate sorting algorithm significantly impacts the efficiency of information systems, particularly in terms of execution time and the number of comparisons. This study aims to compare the performance of two classic sorting algorithms—Bubble Sort and Insertion Sort—in sorting MSME sales data. A quantitative experimental method was employed, with testing conducted on datasets ranging from 100 to 10,000 transactions under three initial data conditions: random, ascending, and descending. The results indicate that Insertion Sort consistently outperforms Bubble Sort in both execution time and the number of comparisons, especially for small to medium-sized data. Insertion Sort also demonstrates better adaptability to partially sorted data. Based on these findings, Insertion Sort is recommended for use in MSME sales information systems where data volumes are relatively small to moderate. This study also opens opportunities for further research on more advanced algorithms for large-scale data processing in the future.
Pemanfaatan Sistem Cerdas Berbasis Internet of Things (IoT) untuk Optimalisasi Pengelolaan Energi di Smart Home Muhamad Rizky Syakban Barokah; Tata Sutabri
JOURNAL SAINS STUDENT RESEARCH Vol. 3 No. 2 (2025): Jurnal Sains Student Research (JSSR)
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v3i2.4327

Abstract

Today, many household appliances can connect to the internet. The technology that enables this is known as the Internet of Things (IoT). Devices such as lights, air conditioners, fans, and even power sockets can now be controlled automatically or remotely, for instance, via smartphones. In smart homes, this capability plays a significant role in helping to reduce electricity consumption.This study experimented with several simple devices such as temperature sensors, smart plugs, and timers. The goal was to examine whether these tools could effectively help lower household electricity usage. Although the system did not incorporate artificial intelligence or complex technologies, the results were still quite promising.The system was tested directly in a small house, with energy consumption carefully recorded. The findings showed a reduction in energy usage of up to 30%. Additionally, the system was able to send notifications to users, raising their awareness of their electricity usage habits. In conclusion, IoT technology can offer a simple and affordable solution for improving energy efficiency in homes.
Co-Authors Tata Sutabri Tio Saputra