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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat SKANIKA: Sistem Komputer dan Teknik Informatika Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Ticom: Technology of Information and Communication Jurnal Pengabdian Masyarakat Tekno
Siswanto, Siswanto
Fakultas Teknologi Informasi Universitas Budi Luhur
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science

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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

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E-Commerce Delivery Order System Based On ISO 9126 Model In Jeddah, Saudi Arabia Siswanto Siswanto; H. Riefky Sungkar
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.2007

Abstract

The limited mobility of Muslim women in the city of Jeddah who must be accompanied by their Muslim family or husband or with fellow Muslim female friends, if they want to leave the house to shop or entrepreneurship has become a culture in the country of Saudi Arabia. The research objective was to create a prototype e-commerce delivery order system for Muslim women in the city of Jeddah. The development of an ecommerce delivery order system uses a prototype method, and tests the quality of variables with the ISO 9126 model. The result of testing of the application variables for functionality, reliability, efficiency and user usability is 77.3%.
The Feasibility of Credit Using C4.5 Algorithm Based on Particle Swarm Optimization Prediction Siswanto Siswanto; Abdussomad Abdussomad; Windu Gata; Nia Kusuma Wardhani; Grace Gata; Basuki Hari Prasetyo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.2019

Abstract

Credit is a belief that one is given to a person or other entity which is concerned in the future will fulfill all the obligations previously agreed. The objective of research is necessary to do credit analysis to determine the feasibility of a credit crunch, through credit analysis results, it can be seen whether the customer is feasible or not. The methods are is used to predict credit worthiness is by using two models, models classification algorithm C4.5 and C4.5 classification algorithm model based Particle Swarm Optimization (PSO). After testing with these two models found that the result C4.5 classification algorithm generates a value of 90.99% accuracy and AUC value of 0.911 to the level diagnostics Classification Excellent, but after the optimization with C4.5 classification algorithm based on Particle Swarm Optimization accuracy values amounted to 91.18% and the AUC value of 0.913 to the level of diagnosis Excellent Classification. These both methods have different accuracy level of 0.18%.
Co-Authors Abdul Hafidz Murtono Abdul Halim Abdussomad, Abdussomad Achmad Haykal Aditya Adiguna Aditya Adiguna Akbar Octaviari Murdiansyah Akhmad Affandi Aldiansyah Aldiansyah Andriyansyah Andriyansyah Anggun Saputro Bayu Laksono Bayu Mahdhani Bintang Kristoper Simanjuntak Buana Suhurdin Putra Camelia Nurani Deden Muhammad Syarifudin Dwi Nur Hayati Enggar Prastyo Fajar Agung Rizki Fajar Ibnu Wicaksana Farizal Dias Amsari Farlan Rahmadhonu Firdiansyah Firdiansyah Gata, Windu Gata, Windu Grace Gata, Grace Gunawan Pria Utama H. Riefky Sungkar Hafidz Shidiq Helmy Ligaputra Ifran Nurkhallam Ikin Rojikin Imelda, Imelda M. Anif M.Anif Maulana Malik Ibrahim Muhamad Nur Faizal Afrianto Muhammad Rizqo Fajriansyah Muhammad Satria Al Aziz Mujito Mujito Mujito Mujito Musafa, Akhmad Nazori AZ Nia Kusuma Wardhani Nur Jamal Nur Jamal Peby Wahyu Purnawan Prasetyo, Basuki Hari Recky Juniansyah Asad Riefky N. Sungkar Ruwirohi, Jan Everhard Saputro, Ari Sarmani Sarmani Subandi Sujono Sujono Sungkar, H. Riefky Suprihono Suprihono Suwasti Broto Swasti Broto Swasti Broto T.W. Wisjnuadji Tri Shoni Wijaya TW Wisjhnuadji Ujang Edi Joko Saputra Ulil Abshor Wahyu Pramusinto Widana Puguh Saksono Windu Gata Windu Gata Wirawan Satyadi Wisjnuadji TW Yani Prabowo Yuhefizar Yuhefizar Yuliazmi, Yuliazmi