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All Journal Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Penelitian Rumpun Ilmu Teknik
Rizkia Meinita
Universitas Adhirajasa Reswara Sanjaya
Computer Science & IT Education Engineering Other

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PERANCANGAN WEBSITE MARKETPLACE BERBASIS PHP DENGAN FRAMEWORK CODEIGNITER Femmy Novica Ramadanis; Mohamad Daffa Adriansyah; Muhammad Fadhil Alamsyah; Rizkia Meinita; Tri Putra Satriawan; Ricky Firmansyah
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 2 (2022): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : AMIK Veteran Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i2.289

Abstract

The development of marketplace-based online trading facilities has been widely circulated in Indonesia. However, there are no services to provide marketplace-based jobs. Even though this service is really needed by the community, especially with the increasing number of unemployed in Indonesia. These employment services are website-based so that people don't have to go to each company, just stay at home and attach several files as support to get a job. With this application, information on job vacancies in an area can be disseminated on this system. This freelance marketplace distribution system was built using the waterfall method with four stages of applicable methods, namely requirements analysis, system design, implementation, and system testing using the PHP and Condigniter 3 programming languages. , ordering, talent details, logout.. On the other hand, the advantages of looking for a job online are that apart from being flexible, it can also open up new and broad opportunities. And it can reach various aspects of society.
Optimasi Feature Selection Menggunakan Algoritma Neural Network Untuk Klasifikasi Brain Stroke Serly Agustin; Rizkia Meinita; Fiqri Khalid Aziz Al-rasyid; Amelia Anjani; Rehan Alif Albani; Ricky Firmansyah
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 2 No. 3 (2023): Agustus : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : POLITEKNIK PRATAMA PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v2i3.2009

Abstract

One of the deadliest strokes is a brain stroke. According to the results of many cases of brain stroke patients, there is a possibility that bad lifestyles such as smoking and drinking alcohol can cause high blood pressure. The goal is to classify triggers for brain structure symptoms by comparing several algorithms. From the results of this comparison, it is possible to obtain triggers with the highest number of triggers so that later brain structures can be diagnosed more quickly. In several algorithms namely nn , feature selection and GA. To group triggers for several brain stroke symptoms, to maximize feature weight and feature selection, data processing using rapidminer was continued with four algorithms: X-Fold validation and split validation with ratios of 0.5, 0.6, 0.7, 0.8 and 0.9. After this test, the most popular AUC values and methods, together with the Neural Net algorithm, the Optimize Selection (Evolutionary) feature, and using a Split Validation ratio of 0.9, produce numbers with very high accuracy. AUC of 0.549 and an accuracy value of 95.88%..
Co-Authors Amelia Anjani Femmy Novica Ramadanis Fiqri Khalid Aziz Al-rasyid Mohamad Daffa Adriansyah Muhammad Fadhil Alamsyah Rehan Alif Albani Ricky Firmansyah Serly Agustin Tri Putra Satriawan