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All Journal INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Kreativitas Pada Pengabdian Masyarakat (Krepa)
Wardana, Jaka
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Arts Humanities Computer Science & IT Education Energy Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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MENINGKATKAN PERSONAL BRANDING DENGAN MEMBUAT LINKEDIN DI SMK IKHLAS JAWILAN SERANG Aulia, Nurul; Wardana, Jaka; Maesaroh, Siti
Kreativitas Pada Pengabdian Masyarakat (Krepa) Vol. 4 No. 6 (2025): Kreativitas Pada Pengabdian Masyarakat (Krepa)
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.8765/krepa.v4i6.10630

Abstract

Di era digital yang semakin berkembang, persaingan dalam dunia kerja semakin ketat. Para pencari kerja (pencaker) dituntut untuk tidak hanya memiliki kemampuan teknis yang baik, tetapi juga mampu membangun citra diri atau Personal Branding yang kuat. Personal Branding dapat memberikan keunggulan kompetitif bagi pencari kerja, terutama ketika ingin menonjol di hadapan perusahaan atau perekrut. LinkedIn sebagai platform profesional yang didesain untuk jaringan karir, dapat menjadi solusi alternatif yang efektif. LinkedIn memungkinkan pencari kerja untuk membangun personal branding secara profesional tanpa harus bergantung pada calo. Melalui LinkedIn, pencari kerja dapat menampilkan portofolio, pengalaman kerja, serta keterampilan yang dimiliki secara transparan, yang pada gilirannya dapat menarik minat perekrut tanpa perlu melalui jalur ilegal.
Comparative Analysis of Searching and Sorting Algorithms in Student Data Processing Saputra, M. Sulpin Agung; Meidiansyah, M. Raihan; Sanputra, Arya Damara; Wardana, Jaka
International Journal of Education, Information Technology, and Others Vol 8 No 3.B (2025): International Journal of Education, information technology   and others (On Pro
Publisher : Peneliti.net

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Abstract

Efficient data processing is crucial, especially in searching and sorting large volumes of student data. This study aims to analyze and compare the performance of four algorithms: Linear Search, Binary Search, Bubble Sort, and Quick Sort, in student data processing. The experiments were conducted using datasets of 1,000, 5,000, and 10,000 student records. The results show that Quick Sort delivers the best performance in sorting tasks with the fastest execution time, while Binary Search demonstrates high efficiency in searching within sorted datasets. In contrast, Bubble Sort and Linear Search exhibit poor performance as the dataset size increases. This study recommends the use of Quick Sort for sorting and Binary Search for searching in large-scale data processing.
Co-Authors Aulia, Nurul Meidiansyah, M. Raihan Sanputra, Arya Damara Saputra, M. Sulpin Agung Siti Maesaroh