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All Journal Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Komputer dan Teknologi (JUKOMTEK)
Sukmana Wibowo, Mohamad Hegar
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Computer Science & IT Library & Information Science Other

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sistem operasi mobile Komparasi Struktur Sistem Operasi Mobile Dampak Pengelolaan Memori dan Performa Aplikasi Sukmana Wibowo, Mohamad Hegar; Al Ayubi, Muhammad Din; Rilvani, Elkin
Jurnal Informasi, Sains dan Teknologi Vol. 7 No. 2 (2024): Desember: Jurnal Informasi Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v7i2.265

Abstract

Mobile operating systems are software designed to manage the fundamental functions of devices. The most dominant mobile operating systems in today's market are Android and iOS, each capturing their respective user segments with distinct approaches. iOS is a mobile operating system developed by Apple, tailored for its smartphones, while Android is designed by the Open Handset Alliance (led primarily by Google) and developed for Android smartphones and tablets. This study employs a comparative method to analyze the performance and memory management of Android 11 and iOS 14. The findings reveal that iOS 14 is more efficient, with an average memory allocation time of 90 ms, compared to Android 11’s 120 ms. Android 11 offers greater flexibility in handling heavy applications but at the cost of higher memory consumption. Conversely, iOS 14 demonstrates superior efficiency and stability in memory usage, particularly for lightweight and medium applications.
KLASIFIKASI VOLATILITAS HARGA DAGING AYAM DAN CABE RAWIT MERAH DENGAN DECISION TREE Sukmana Wibowo, Mohamad Hegar; Al Ayubi, Muhammad Din; Rilvani, Elkin
Jurnal Komputer dan Teknologi Vol 4 No 2 (2025): JUKOMTEK JULI 2025
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v4i2.455

Abstract

Price fluctuations of key food commodities such as chicken meat and red bird’s eye chili exhibit significant volatility patterns in Bekasi Regency, impacting consumers, producers, and local government authorities. This study aims to classify the level of price volatility for these two commodities using the Decision Tree C4.5 algorithm. Daily price data for the year 2024 were obtained from the Department of Communication, Informatics, Cryptography, and Statistics of Bekasi Regency, then processed and analyzed using RapidMiner with an 80:20 training-to-testing data ratio. The classification results show that the C4.5 algorithm achieved an accuracy of 93.84% for chicken meat prices and 80.56% for red chili prices. These findings demonstrate the effectiveness of the C4.5 algorithm in recognizing price volatility patterns and its potential in supporting decision-making for regional price monitoring systems and early warning mechanisms for market shocks. This research offers practical contributions to government efforts in price stabilization.
Co-Authors Al Ayubi, Muhammad Din Elkin Rilvani