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All Journal Jurnal Manajemen Sistem Informasi Akademika
Fadhliazis, Fadhliazis
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Computer Science & IT

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ANALISIS DAN PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN DENGAN SIMPLE ADDITIVE WEIGHTING (SAW) PADA DINAS SOSIAL, KEPENDUDUKAN DAN PENCATATAN SIPIL PROVINSI JAMBI Fadhliazis, Fadhliazis; Sarjono, Sarjono
Jurnal Manajemen Sistem Informasi Vol 4 No 2 (2019): Jurnal Manajemen Sistem Informasi
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jurnalmanajemensisteminformasi.2019.4.2.617

Abstract

There are so many programe is given by goverment to tackle proverty. One of them is Program KeluargaHarapan (PKH). But, data of beneficiery receiver is not suitable yet as something that hope. The reason is notoptimal act of determining status. Although, beneficiery receiver is not on target. Application prototypeplanner system to support final decision for PKH beneficiery receiver is used to take decision is SimpleAddictive Weighting System (SAW). It wears Use Case Diagram, Activity Diagram, and Class Diagram asmodel of system planner. Which is result assessment is done by system. That have two measurment, properor not proper. SAW Method is choosen because of this method can determine quality grade each atribute.Then, continue with rank process will do to select best alternative from a lot of alternatives. Such as; poorfamily which is include proper category based on some criterias is defineted. With that rank process,assesment will be appropriate because based on criteria grade and quality grade that determine alternative. Itwill get proper result. The result will be come holder for Social, Population, and Civil Registrationdepartment in Jambi Province. The assesment can be used to measure poor family that proper to get PKHbeneficiery. Which is this data will be given to the Ministry of Social Services of Indonesia Republic later. Itbecome proper data for goverment to give the PKH beneficiery is on the target.
IMPLEMENTASI PENGOLAHAN CITRA UNTUK PEMBUATAN FILTER GAMBAR BERBASIS WEB MENGGUNAKAN OPENCV DAN FLASK: Pengolahan citra digital, filter gambar, OpenCV, Flask, Python, web Setiadi, Arif; Fadhliazis, Fadhliazis; Ahadi, Ahmad Husna; Gustina, Gustina
JURNAL AKADEMIKA Vol 17 No 2 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i2.1737

Abstract

Pengolahan citra digital merupakan salah satu bidang dalam dunia teknologi informasi, terutama pada pengembangan aplikasi berbasis visual. Penelitian ini bertujuan untuk mengembangkan sebuah web yang dapat menerapkan beberapa filter pada gambar digital menggunakan library OpenCV dengan dukungan framework Flask berbasis Python. Aplikasi ini memungkinkan pengguna untuk mengunggah gambar dan memilih jenis filter yang tersedia yaitu grayscale, blur, dan edge detection. Proses pengolahan citra dilakukan di sisi server, kemudian hasilnya akan ditampilkan kembali kepada pengguna. Hasil menunjukkan bahwa web dapat memproses gambar secara server-side dan menampilkan hasilnya secara real time. Web ini dapat memberikan gambaran penggunaan filter dalam pemrosesan gambar untuk kebutuhan pembelajaran, riset, maupun pengembangan sistem lebih lanjut.
Co-Authors Ahadi, Ahmad Husna Gustina Gustina Sarjono Sarjono, Sarjono Setiadi, Arif