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Journal of Software Engineering and Information System (SEIS)
Published by Universitas Muhammadiyah Riau
ISSN : -     EISSN : 28090950     DOI : https://doi.org/10.37859/seis.v3i1
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering
Journal of Software Engineering and Information System (SEIS) is a peer-reviewed journal published twice a year (January and August) by the Department of Information System - Faculty of Computer Science, Universitas Muhammadiyah Riau. The scope of the journal is: Artificial Intelligent Business Intelligence and Knowledge Management Data Mining E-Bussiness IT Governance Enterprise System System Design Information Design & Development Database System Expert System Decision Support System
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 7 Documents
 1 
Search results for , issue "Vol. 4 No. 2 (2024)" : 7 Documents clear
Audit Sistem Informasi Learning Management System Pada PT.XYZ Menggunakan Framework Cobit 5.0 Apriadi Noor; Jaya, Joy Nashar Utama
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 4 No. 2 (2024)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v4i2.6739

Abstract

Pada era digital ini, sistem informasi menjadi semakin penting bagi perusahaan. Oleh karena itu, penting untuk memastikan bahwa sistem informasi memenuhi kebutuhan bisnis dan memenuhi standar keamanan dan kendali. PT.XYZ adalah perusahaan yang berfokus pada distribusi alat berat. Perusahaan ini memiliki sistem informasi Learning Management System yang kompleks yang digunakan untuk mendukung berbagai proses bisnis, seperti pelatihan dan pembelajaran, sehingga perlu dilakukan nya Audit sistem informasi untuk memastikan bahwa sistem informasi tersebut memenuhi kebutuhan bisnis dan memenuhi standar keamanan dan kendali. Metode yang digunakan pada penelitian ini adalah menggunakan framework COBIT 5.0, dengan domain DSS1 (Manage Operations), DSS5 (Manage Security), dan DSS11 (Manage Data). Penilaian maturity level pada masing masing domain dilakukan untuk menilai bagaimana manajemen operasional, manajemen keamanan, dan manajemen data dijalankan. pada sistem informasi. Hasil yang didapatkan dimana tingkat maturity level sistem informasi Learning Management System PT. XYZ berada pada level 4, dengan Kesenjangan (GAP) rata-rata antara proses yang ada saat ini dengan harapan adalah 1,08.
AUDIT TATA KELOLA TEKNOLOGI INFORMASI MENGGUNAKAN FRAMEWORK COBIT 4.1 PADA TELKOM PENAJAM Rezky Ramanda; Jaya, Joy Nashar Utama
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 4 No. 2 (2024)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v4i2.6837

Abstract

Penelitian ini bertujuan untuk mengevaluasi dan meningkatkan keamanan data di Plasa Telkom Penajam menggunakan pendekatan audit tata kelola teknologi informasi dengan memanfaatkan framework COBIT 4.1. metode pengumpulan data pada peneilitian ini wawancara, observasi, dan penelusuran dokumentasi yang relevan. Temuan audit mengungkapkan bahwa Plasa Telkom Penajam masih memiliki beberapa kelemahan dalam aspek keamanan data yang memerlukan perbaikan.Audit tata kelola TI dengan menggunakan framework COBIT 4.1 akan membantu Telkom Penajam untuk mengidentifikasi celah keamanan dan mengimplementasikan kontrol yang efektif untuk melindungi data sensitif mereka dari ancaman internal dan eksternal. Hasil dari penelitian ini beberapa aspek keamanan data yang perlu ditingkatkan demi menjaga integritas dan kerahasiaan informasi yang dikelola oleh perusahaan. Diharapkan penelitian ini dapat mengurangi risiko terhadap ancaman keamanan data, meningkatkan kesadaran dan pemahaman karyawan mengenai keamanan data, serta memperkuat infrastruktur teknologi informasi perusahaan.
PENGGUNAAN FRAMEWORK COBIT 5 PADA AUDIT SISTEM INFORMASI KEUANGAN (SIKU) DI PT. X Makmur, Muhammad Makmur Hasan; Jaya, Joy Nashar Utama
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 4 No. 2 (2024)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v4i2.6888

Abstract

Pada era globalisasi, perusahaan memanfaatkan teknologi informasi untuk mencapai visi dan misi merka. Di Indonesia, pertumbuhan teknologi informasi memberikan kemudahan dalam merancang dan menganalisis data untuk menghasilkan informasi yang relevan. Penggunaan sistem informasi keuangan (SIKU) di perusahaan telah diterapkan di PT. X yang bergerak pada bidang distributor alat berat. Evaluasi dan audit berkala diperlukan untuk memastikan kinerja optimal perusahaa. Melalui evaluasi ini, perusahaan dapat memperbaiki aplikasi, sumber daya manusia, dan tata Kelola perusahaan untuk meningkatkan efektivitas dan efisiensi. Pada penelitian ini berfokus pada domain deliver, service, and support (DSS). Hasil yang diperoleh menunjukkan bahwa tingkat kematangan rata-rata pada domain DSS adalah 3,67, dan dibulatkan menjadi 4 mengindikasikan proses yang bersifat Predictable Process. Analisis kesenjangan menunjukkan adanya kesenjangan rata-rata sebesar 1,4 antara tingkat kematangan saat ini dengan target yang diinginkan yaitu 5. Aplikasi SIKU telah memenuhi proses yang diukur karena telah berada di kategori predictable process namun perlu ditingkatkan lagi untuk memenuhi target yang diinginkan yakni optimizing process.
DEVELOPMENT OF ZAKAT INFORMATION SYSTEM FOR THE ABC ZAKAT INFAQ SHADAQAH CHARITY BASED ON WEBSITE Adi Imantoyo; Arnolis; Helvin. S
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 4 No. 2 (2024)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v4i2.7451

Abstract

Information System is a collection of interconnected elements that work together to gather, process, store, and disseminate information that is beneficial to users. The method used in implementing this project is the sequential linear method, which has several stages, including analysis, design, coding, and testing. . The result of this research Zakat information system based on a website for the ABC Zakat, Infaq, and Shadaqah Amil Zakat Institution using the Laravel framework that utilizes the PHP programming language and is connected to the MySQL database. This system is valuable in enhancing the efficiency, transparency of Zakat management, and distributing funds more effectively within the ABC Zakat, Infaq, and Shadaqah Amil Zakat Institution (LAZIS) ABC.
ANALISIS KESUBURAN PERTANIAN MELALUI IRIGASI DENGAN MENGGUNAKAN METODE K-MEANS CLUSTERING Mukhtar, Harun; Syafutri, Trimaiyuza Maulina; Rahman, Rayhan Aulia; Putra, Afyuadri; Hafsari, Rizka
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 4 No. 2 (2024)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v4i2.7599

Abstract

Indonesia is an agricultural country where the majority of its population makes a living from agriculture. The agricultural sector is a very important sector for economic development in an agricultural country like Indonesia. Poor irrigation facilities greatly affect the results of the agricultural sector. Crop quality is based on many factors such as the characteristics of the irrigation process, including the amount of air and irrigation time. Overwatering irrigation can cause air wastage, soil freezing disease, yellowing of plant leaves, wilting of plant leaves, and many other problems. K-Means clustering is a method used to group data into one or more groups or clusters. The advantages of the K-Means algorithm are that it is easy and simple to implement, scalability, speed in convergence, and the ability to adapt to sparse data. K-Means to group agricultural land based on soil fertility and rainfall data, found that this grouping can help in more efficient irrigation planning. The clustering results show that agricultural land can be divided into three main clusters based on soil fertility and irrigation. Soil fertility is formed into three clusters based on the level of soil fertility using the Kmeans algorithm which can also be effective in helping in the Indonesian agricultural sector. By adding technological elements, the results provided will of course be even better.
ALGORITMA K-MEANS UNTUK PENGELOMPOKAN PERILAKU CUSTOMER Mukhtar, Harun; Dwi Pramaditya, Ilham; Saputra Weisdiyanto, Wahyu; Hardian_Putra, Saddam; Trimuawasih, Diana; Auralia Rilda, Azzahra
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 4 No. 2 (2024)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v4i2.7615

Abstract

In the rapidly evolving digital era, understanding customer purchasing behavior is crucial for marketing strategies and business development. This study uses the K-means clustering algorithm to analyze and segment customer purchasing behavior. This algorithm effectively partitions data into groups based on similar characteristics. The aim of this study is to identify purchasing behavior patterns using attributes such as purchase frequency, expenditure amount, and product types. By segmenting customers into homogeneous groups, companies can design more effective marketing strategies and better personalization. The results show that the K-means clustering method successfully segments customers based on similar behavior patterns, which can be used for market segmentation and strategy development. The application of this algorithm in purchasing behavior analysis is expected to provide deep insights and support better business decision-making, offering a competitive advantage for companies.
TEKNIK MACHINE LEARNING UNTUK ANALISA KLASIFIKASI KUALITAS UDARA: A REVIEW Alfian, Haris; Wahyuni, Sri; Revalino, Aqil; Mirano, M. Fitter; Rahmayana, Elsa; Mukhtar, Harun
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 4 No. 2 (2024)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v4i2.7617

Abstract

Air quality has a significant impact on human health and the environment, making its monitoring and classification extremely important. This review explores the application of machine learning techniques in analyzing and classifying air quality. Various methods such as decision trees, support vector machines, neural networks, and ensemble learning are evaluated to assess their effectiveness in processing complex and multidimensional air sensor data. This study also discusses challenges in data collection and preprocessing, selection of relevant features, and interpretation of classification results. Furthermore, this review identifies recent trends and future research opportunities in the use of machine learning to improve the accuracy and efficiency of air quality monitoring systems. The analysis results show that machine learning techniques have great potential to enhance our understanding of air quality dynamics and support better decision-making in environmental management

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