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All Journal Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika Infotek : Jurnal Informatika dan Teknologi Simpatik: Jurnal sistem Informasi dan Informatika Infomans: Jurnal Ilmu-ilmu Informatika dan Manajemen Jurnal Intelek Dan Cendikiawan Nusantara Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Modem : Jurnal Informatika dan Sains Teknologi JIMT: Jurnal Informatika, Multimedia dan Teknik
Santika, Deris
Universitas Sebelas April Sumedang
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Engineering Other

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SOFTWARE REQUIREMENT SPESIFICATION UNTUK APLIKASI INVENTORI BARANG PABRIK PENGGILINGAN PADI Nova Nurhidayat; Fathoni Mahardika; Deris Santika
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 1 No. 4 (2024): AGUSTUS - SEPTEMBER 2024
Publisher : PT. Intelek Cendikiawan Nusantara

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Pabrik penggilingan padi memproduksi beras dan dedak serta menyediakan jasa penggilingan padi bagi masyarakat umum. Kesalahan input data, termasuk data yang terlawat, sering terjadi dalam pencatatan, dan persediaan barang tidak tercatat secara realtime karena pengolahan data saat barang masuk dan keluar masih menggunakan pencatat manual. Aplikasi adalah alat bantu yang diperlukan untuk menyelesaikan masalah tersebut. Penelitian ini bertujuan untuk mengetahui kebutuhan khusus untuk aplikasi inventori barang penelitian, dan kemudian menerjemahkan kebutuhan tersebut ke dalam penjelasan kebutuhan software. Pada dasarnya, tujuan penelitian ini adalah untuk membuat acuan tentang kebutuhan aplikasi inventori barang penelitian ini dapat mengurangi kesalahan dalam manajemen stok barang dan memudahkan dalam pencarian data.
Algoritma Linear Search dan Binary Search Berdasarkan Ukuran dan Kondisi Keterurutan Data Abdul Rahman, Gilang; Indra Junaedi, Dani; Santika, Deris
Infoman's : Jurnal Ilmu-ilmu Informatika dan Manajemen Vol. 19 No. 2 (2025): Infoman's
Publisher : LPPM & Fakultas Teknologi Informasi UNSAP

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This study compares the performance of Linear Search and Binary Search in data retrieval under varying dataset sizes and ordering conditions. Rather than relying solely on theoretical complexity, Binary Search is evaluated end-to-end by including the required sorting step prior to searching. A quantitative experiment is conducted in Python 3.13.9 using shuffled unique integer arrays with sizes ranging from to . Four target scenarios are tested: target located at the beginning, middle, end, and target not found. The primary metrics are execution time and summary statistics (median and mean) computed from repeated runs for each scenario. The results indicate that for a single search on initially unsorted data, the Sorting+Binary approach tends to yield a higher total time than Linear Search because sorting dominates the overall cost, while the binary search component itself remains comparatively small. The contribution of this work is an end-to-end evaluation that accounts for sorting overhead and provides practical guidelines for selecting the appropriate search algorithm across dataset sizes and query scenarios. These findings highlight that algorithm selection should account for data characteristics and preprocessing overhead; Binary Search is most beneficial when data is already sorted or when sorting costs can be amortized across repeated queries.
Co-Authors Abdul Rahman, Gilang Ajar Basyar Tsani Aprilyawan, Muhamad Rian Assidiq, Muhamad Luthfi Dani Indra Junaedi Hendrawan, Fauzi Bayu Mahardika, Fathoni Nova Nurhidayat Rangga Sanjaya, Rangga Rearizth Muhammad Daffaa Santi Papiyani