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JAMI Jurnal Ahli Muda Indonesia
Article . 2022 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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SISTEM INFORMASI BARANG BUKTI DAN BARANG RAMPASAN (Studi Kasus Kejaksaan Negeri Kota Kediri)

Authors: Sucipto Sucipto; null Rina Firliana; null Firda Novita Kurniyasari;

SISTEM INFORMASI BARANG BUKTI DAN BARANG RAMPASAN (Studi Kasus Kejaksaan Negeri Kota Kediri)

Abstract

Objektif. Kejaksaan Negeri Kota Kediri belum memiliki sistem untuk mengelola barang bukti dan barang rampasan. Selama ini Kejaksaan Negeri Kota Kediri masih menggunakan cara yang sederhana untuk mengelola data barang bukti dan barang rampasan yaitu dengan cara mencatat pada buku besar. Akibatnya, petugas pengelola mengalami kesulitan dalam memanajemen data barang bukti dan barang rampasan. Material and Metode. Dalam penelitian ini sistem yang akan rirancang merupakan sistem informasi barang bukti dan barang rampasan berbasis Website dengan output QrCode dan juga laporan bulanan. Menggunakan metode dalam mengembangkan sistem ini adalah model Watefall dengan System Development Life Cycle. Sistem ini dibuat menggunakan bahasa PHP (PHP: Hypertext Prepocessor) dengan framework Codeigniter (CI) versi ke 3. Bahasa pemodelan yang digunakan pada perancangan sistem adalah Data Flow Diagram (DFD) dan Entity Relationship Diagram (ERD). Pengujian sistem menggunakan Blackbox Testing. Hasil. Penelitian ini menghasilkan sebuah sistem dapat digunakan untuk mengelola data barang bukti dan barang rampasan. Informasi yang didapat pada sistem ini berupa laporan bulanan dan QrCode. Kesimpulan. Sistem Informasi Barang Bukti dan Barang Rampasan sangat diperlukan untuk mempercepat kinerja petugas pengelola barang bukti dan barang rampasan.

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    popularity
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    Top 10%
    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
gold