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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Intelektualita: Keislaman, Sosial, dan Sains JUSIFO : Jurnal Sistem Informasi Jurnal CoreIT EDUMATIC: Jurnal Pendidikan Informatika JUSIM (Jurnal Sistem Informasi Musirawas) Journal of Information Systems and Informatics Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Teknologi dan Manajemen Jurnal Teknologi Sistem Informasi Jurnal Multidisiplin West Science
Irfan Dwi Jaya
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Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Social Sciences

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Rancang Bangun Sistem Informasi Service Reservation Berbasis Android (Studi Kasus :Bengkel Bintang Motor Palembang) Jaya, Irfan Dwi; Kadafi, Muhamad; Mustar, Riska Novialita
MATICS Vol 11, No 1 (2019): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (888.062 KB) | DOI: 10.18860/mat.v11i1.7685

Abstract

PT Bintang Mulia Jaya merupakan salah satu perusahaan yang bergerak dalam bidang retail sepeda motor honda, adapun masalah dalam bidang perawatan yaitu sering terjadinya penumpukan antrian sepeda motor yang akan diperbaiki, layanan yang telah penuh serta kurangnya tenaga montir dibandingkan banyaknya antrian pelanggan. Tujuan penelitian ini untuk membangun sistem informasi service reservation motor berbasis android di bengkel bintang motor palembang agar mempermudah para customer untuk melakukan pemesanan layanan service yang dapat mengelola data pelanggan, data teknisi, data service, data saprepart, data transaksi, data booking dan antrian serta mengelola laporan menggunakan metode prototype dan menggunakan Unified Modeling Languange (UML) untuk memvisualisasikan pemodelan, sedangkan bahasa pemrograman menggunakan PHP, HTML5, JavaScript dengan MySQL untuk pengolahan databasenya. Menggunakan Apache Cordova sebagai platform aplikasi mobile android. Penelitian ini menghasilkan data pelanggan, data teknisi, data service, data sparepart, data transaksi, data booking dan antrian serta dapat membantu dalam pengelolahan laporan.
Analisis Kesuksesan E-Billing pada Kantor Pelayanan Pajak Pratama Palembang Ilir Timur Menggunakan Structural Equation Modeling Lestari, Rizky Nurfitri; Santi, Rusmala; Jaya, Irfan Dwi
MATICS Vol 13, No 1 (2021): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v13i1.9570

Abstract

This study discusses the application of Structural Equation Modeling (SEM) and measures the success of e-billing implementation at the Palembang Ilir Timur Pratama Tax Office and the factors that influence its success. E-billing is developed and managed by the Directorate General of Treasury. There are 100 thousand e-billing users registered at the Palembang Ilir Timur Pratama Tax Office. Based on the analysis results obtained standardized residual covariances matrix values no smaller than -2.58 or greater than 2.58 and the probability of showing a value of 0.080 which means that the value meets the interpretation requirements that the model can be accepted. The results of this study indicate that the success rate of e-billing implementation is at the level of 78% ("Success"). This needs to be considered by organizations for the development of e-billing in the future.Index Terms— Succsess, E-Billing, Structural Equation Modeling (SEM), Delone and Mclean, AMOS.Abstrak–-Penelitian  ini  membahas  Penerapan Structural Equation Modeling (SEM) dan mengukur  kesuksesan  implementasi  e-billing  di Kantor Pelayanan Pajak Pratama Palembang Ilir Timur dan  faktor-faktor  yang  memengaruhi  kesuksesannya. E-billing dikembangkan dan  dikelola oleh Direktorat Jenderal Perbendaharaan. Pengguna e-billing sebanyak 100-an ribu  yang terdata pada Kantor Pelayanan Pajak Pratama Palembang Ilir Timur. Berdasarkan hasil analisis didapatkan nilai standardized residual covariances matrix tidak ada yang lebih kecil dari -2,58 atau lebih besar dari 2,58 dan probabilitas menunjukan nilai 0,080 yang berarti nilai tersebut memenuhi syarat interpretasi bahwa model dapat diterima. Hasil dari penelitian  ini menunjukan bahwa tingkat kesuksesan implementasi e-billing berada pada tingkat 78%  (“Sukses”). Hal ini perlu dipertimbangkan oleh organisasi untuk pengembangan e-billing pada  masa depan. Kata Kunci— Kesuksesan, E-Billing, Structural Equation Modeling (SEM) , Delone and Mclean, AMOS.
Analisis Kualitas Sistem Knowledge Management Metode Quality Function Deployment (Studi kasus:PT.Pupuk Sriwidjaja Palembang) Sari, Yolita Lara; Santi, Rusmala; Jaya, Irfan Dwi
MATICS Vol 12, No 2 (2020): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v12i2.9567

Abstract

Knowledge management system is a system used by permanent employees of PT.Pupuk Sriwidjaja Palembang which aims to accommodate all the knowledge or work experience known to all employees at PT. Sriwidjaja Palembang Fertilizer. In this study there are some problems such as material shared by the admin such as videos, modules and other material that cannot be downloaded by users or users, there is no menu to connect to admin or system users, when the user or user shares learning material or work experience there is no notification directly to the system whether rejected or approved by the admin, there is no menu that can help beginners who are first using the knowledge management system. The purpose of this research is to analyze the quality level of knowledge management system services and how to improve the quality of knowledge management system services by utilizing the Quality Function Deployment method. to identify by distributing to respondents who were processed using Quality Function Deployment (QFD). The results of the distribution of questionnaires get a value of 3,764 with a low category which means it needs to be improved and processing in the QFD method in the House of Quality matrix there are 16 technical responses as a solution to improve service quality. Priority determination is obtained from calculating the relationship between user desires and technical responses then used to determine the priority of improvements that will be applied first.
Co-Authors Akbar, Kayla Aurelia Eriene Dheanda Absharina Fenando, Fenando Fenny Purwani Fenny Purwani Freddy Kurnia Wijaya Gusmelia Testiana Heevans Ridhwan Muhammad Lestari, Rizky Nurfitri Marwah, Deni Mefta Eko Saputra Muarie, Muhamad Son Muhamad Kadafi, Muhamad Mustar, Riska Novialita Nindyya, Ike Septi Nugraha Rachmatullah RA Fitria Hamzah Ragil Tri Wahyudi Regina Aswini Puspala Sari Ruliansyah Ruliansyah Santi, Rusmala SAPUTRA, Muhammad Aldo Saputra Sari, Yolita Lara Selly Yuliarti Septian Syaputra Utami Mizani Putri