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All Journal JUSIFO : Jurnal Sistem Informasi Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi Sistem Informasi dan Aplikasi JOISIE (Journal Of Information Systems And Informatics Engineering) Building of Informatics, Technology and Science Jurnal Sistem informasi dan informatika (SIMIKA) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Malcom: Indonesian Journal of Machine Learning and Computer Science Science and Technology: Jurnal Pengabdian Masyarakat The Indonesian Journal of Computer Science
Jazman, Muhammad
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Social Sciences Other

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Analisis Kepuasan Pengguna Aplikasi iRiau Menggunakan Metode EUCS dan TAM Praniffa, Anisya Caty; Ahsyar, Tengku Khairil; Jazman, Muhammad; Syaifullah; Marsal, Arif
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4604

Abstract

iRiau is a digital platform that makes it easier for people to access the Soeman HS library. User satisfaction assessments are made to access the extent of iRiau application being relevant and effective. The study use the EUCS and TAM methods to identify factors affecting user satisfaction. The study sample involved 125 analyzed respondents using SPSS. According the research, five of the seven hypotheses tested were accepted. Variable Perceived Usefulness, Content, Accuracy, Format, and Timeliness significantly impact user satisfaction. However, variables of Perceived of Use and Ease of Use are insignificant. Variables with the most significant influences are Perceived Usefulness and Timelliness. The linar regression model produces an R-Square of 0.959, showing that such independent variables explain 95.9% of user satisfaction.
Analisis Loyalitas Pelanggan Berdasarkan Model LRFM Menggunakan Metode K-Means Putri, Runi Aulia; Jazman, Muhammad; Syaifullah, Syaifullah; Rahmawita, Medyantiwi
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6565

Abstract

In the era of intense competition in the beauty industry, it is important for companies to understand customer behavior and identify loyal customer segments. Ths study aims to analyze customer loyalty at the Lanona Skincare Beauty clinic using the LRFM (Length, Recency, Frequency, Monetary) model with the K-Means Clustering method. Beauty clinics have not implemented CRM as part of theur business strategy. There is ineffective marketing strategies. Customer transaction data from April to October 2023 was collected and analyzed to determine customer value based on LRFM parameters. The analysis results show that K-Means is effetive in grouping cutomers until the best three clusters are obtained. Cluster 1 with a results of 0,620 is the most loyal customers, cluster 2 with a results of 0,100 is grouped into new inactive customers and cluster 3 with a results of 0,353 is high frequency customers but low revenue contribution. The proposed marketing strategies for each cluster include rewarding an improving communication to maintain customers loyalty. This research provides valuable insights for Lanona Skincare Beauty Clinic in creating a more focused and succesfull marketing plan to increase customer happiness and loyalty.
Analisis Sentimen Pada Ulasan Aplikasi Bank Syariah Indonesia Mobile Menggunakan Support Vector Machine dan Naïve Bayes Aqilla, Nabila Fadia; Jazman, Muhammad; Syaifullah, Syaifullah; Rahmawita, Medyantiwi
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6567

Abstract

The internet plays a crucial role in facilitating various human activities, including in the field of electronic banking services, which encompasses various financial services such as ATMs, internet banking, SMS banking, and mobile banking. All of these aim to enhance service quality with a focus on security, convenience, and effectiveness. BSI is one of the banks offering mobile banking services. Based on user reviews, the BSI Mobile app often experiences technical issues such as bugs and transaction failures. To assess the level of satisfaction with the app, the researcher uses sentiment analysis methods. This method also helps potential customers identify aspects that need improvement or development in the products and services to enhance their quality. The study employs Support Vector Machine (SVM) and Naïve Bayes algorithms. The test results show that the Naïve Bayes algorithm achieves an accuracy of 74.37%, recall of 74.37%, precision of 75.46%, and an F1-score of 74.5%. Meanwhile, the SVM algorithm achieves an accuracy of 77.39%, precision of 77.8%, recall of 77.39%, and an F1-score of 77.38%. These findings indicate that SVM performs better in sentiment classification tasks compared to Naïve Bayes. With its superior performance, SVM is the more suitable algorithm for analyzing user perceptions of the BSI Mobile app. Therefore, the findings of this study can contribute to the development of more innovative digital service strategies and enhance competitiveness in the digital era.
Perbandingan Kernel Algoritma Support Vector Regression Terhadap Performa Prediksi Produksi Kelapa Sawit: Comparison of the Support Vector Regression Kernel Algorithm on the Performance of Palm Production Prediction Maulana, Rizki Azli; Permana, Inggih; Salisah, Febi Nur; Ahsyar, Tengku Khairil; Jazman, Muhammad
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 1 (2025): MALCOM January 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i1.1410

Abstract

Produksi kelapa sawit merupakan salah satu faktor utama dalam industri perkebunan kelapa sawit yang memengaruhi kesejahteraan ekonomi suatu daerah. Dalam upaya untuk meningkatkan prediksi produksi kelapa sawit, algoritma Support Vector Regression (SVR) telah diadopsi sebagai metode prediksi yang potensial. Namun, pilihan kernel dalam SVR dapat mempengaruhi performa prediksi. Penelitian ini bertujuan untuk membandingkan performa prediksi produksi kelapa sawit menggunakan tiga kernel yang berbeda, yaitu linear, polinomial, dan radial basis function (RBF), di PTPN V.Data produksi kelapa sawit dari PT Perkebunan Nusantara V (PTPN V) digunakan sebagai data input. Metrik evaluasi performa prediksi, seperti mean absolute error (MAE), mean squared error (MSE), dan koefisien determinasi (R-squared), digunakan untuk membandingkan ketiga kernel SVR. Hasil eksperimen menunjukkan bahwa kernel RBF cenderung memberikan hasil prediksi yang lebih baik dibandingkan dengan kernel linear dan polinomial. Namun, faktor-faktor seperti kestabilan model dan kecepatan komputasi juga perlu dipertimbangkan dalam pemilihan kernel. Penelitian ini memberikan wawasan penting bagi pengguna SVR dalam memilih kernel yang sesuai untuk meningkatkan prediksi produksi kelapa sawit di PTPN V.
Analysis of User Satisfaction Level Of the Online Lecture Information System (Sikuli) using The EUCS Method at Universitas Muhammadiyah Riau Raihan, Muhammad; Jazman, Muhammad; Ahsyar, Tengku Khairil; Anofrizen, Anofrizen
Sistemasi: Jurnal Sistem Informasi Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5279

Abstract

The effectiveness of an information system is a key determinant of user pleasure, specifically within digital gaining knowledge of platforms. This studies seeks to evaluate the satisfaction degree of customers towards the the Online Lecture Information System (SIKULI) at Universitas Muhammadiyah Riau, employing the EUCS method. The study similarly investigates the tremendous participants to user satisfaction by using analyzing 5 dimensions from the EUCS making use of a quantitative technique, the studies implemented accidental sampling, related to ninety nine lively college students as respondents. facts evaluation was achieved the use of the SmartPLS software to discover the electricity and course of relationships a number of the variables. The analysis found out that simplest ease of use and timeliness had a statistically tremendous effect on user satisfaction, whereas content, accuracy, and format did not exhibit outstanding effects. those effects emphasize that ease of use and timeliness are key factors in improving satisfaction with SIKULI. consequently, this have a look at offers sensible pointers for technical improvements to optimize the performance of academic information systems.
Security Analysis of the Final Project Information System (SITASI) Website using Penetration Testing Method Renaldi, Rengga; Fronita, Mona; Ahsyar, Tengku Khairil; Jazman, Muhammad
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.5406

Abstract

The Final Project Information System (SITASI) website plays a critical role in supporting academic administrative processes at the Faculty of Science and Technology, UIN Sultan Syarif Kasim Riau. This study aims to evaluate the website’s security level following recent maintenance using penetration testing, conducted with the OWASP Zed Attack Proxy (ZAP) tool. The testing revealed eight vulnerabilities, including two classified as medium risk, four as low risk, and two informational. The medium-risk issues involved the absence of an Anti-CSRF token and the lack of a Content Security Policy (CSP), both of which could expose the system to attacks such as CSRF and XSS. The low-risk findings included loading JavaScript from third-party domains, information disclosure via X-Powered-By and Server headers, and the absence of HTTP Strict Transport Security (HSTS). The two informational findings involved suspicious comments in the code and improper Cache-Control settings. Remediation actions were implemented based on OWASP security best practices, including the integration of CSRF tokens, configuration of CSP and HSTS headers, and removal of sensitive information from server responses. A follow-up evaluation confirmed that all identified risks had been successfully mitigated. This study highlights that penetration testing combined with standard-based mitigation is effective in enhancing web application security resilience, particularly within academic environments.
PERANCANGAN DAN PENGEMBANGAN APLIKASI HAJI UMRAH MENGGUNAKAN REACT NATIVE PADA PDA TRAVEL INHU KUANSING Prananda, Yaldri Oktra; Jazman, Muhammad; Anofrizen, Anofrizen; Saputra, Eki; Syaifullah, Syaifullah; Marsal, Arif
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 9 No 1 (2025)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v9i1.5013

Abstract

PDA Travel Inhu Kuansing merupakan biro travel haji dan umrah wilayah Indragiri Hulu dan Kuantan Singingi. Merupakan partner dari PT. PDA Tigi Maaya (PDA Travel). PDA Travel Inhu Kuansing berada dalam naungan manajemen CV. Sumatera Elang Perkasa. Didalam proses bisnis PDA Travel Inhu Kuansing masih terdapat masalah menjadi kendala dalam pengolahan administrasi masih secara manual, pendaftaran belum memakai sistem digitalisa dan promosi paket dalam lingkup yang terbatas. Dari kendala yang ada muncul topik untuk mencari solusi. Dilakukanlah penelitian dengan tujuan untuk merancang dan mengembangkan sebuah aplikasi berbasis mobile. Aplikasi dibuat untuk membantu manajemen dalam pendaftaran, pengolahan data dan memberikan informasi paket perjalanan dan wisata kepada masyarakat indragiri hulu dan kuantan singingi. Pengembangan aplikasi menggunakan framework react native dan Firebase. Metode pengembangan menggunakan Devops lifecycle. DevOps terdiri dari planning, coding, build, testing, release, deployment, operate, monitor. Banyak tools yang direkomendasi pada devops seperti Jenkins, GitLab, Docker, Firebase deployment yang dipakai sesuai kebutuhan dalam tahapan DevOps. Hasil akhir penelitian ini berupa aplikasi travel haji dan umrah yang dibangun mengunakan react native. Pada masa depan diharapkan penggunaan tools automasi yang direkomendasikan devops untuk pengembangan aplikasi. Pembuatan fitur lebih baik dari yang ada pada aplikasi saat ini.
IMPLEMENTATION OF FLUTTER AND FIREBASE TECHNOLOGIES IN MODERN LIVE STREAMING APPLICATION DEVELOPMENT Anmi, Fauzi Hidayatul; Jazman, Muhammad; Anofrizen, Anofrizen; Saputra, Eki; Siregar, Syafril; Ahsyar, T. Khairil
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 9 No 1 (2025)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v9i1.4808

Abstract

Live streaming applications play a vital role in entertainment, education, and business communication. Despite their growing adoption, developing efficient and scalable live streaming applications remains challenging, particularly in ensuring real-time data synchronization, cross-platform compatibility, and optimal user experience under varying network conditions. This study addresses these challenges by designing and implementing a live streaming application using Flutter and Firebase, leveraging their advantages in cross-platform development and backend services. The research employs an Agile-Scrum methodology to iteratively develop and refine the application, incorporating essential features such as real-time video streaming, user authentication, live chat, and voice changers. Performance evaluation is conducted through direct user testing to assess functionality, responsiveness, and network adaptability. The results demonstrate that Flutter effectively streamlines the development of cross-platform interfaces, while Firebase ensures seamless real-time data synchronization and authentication. However, challenges persist in optimizing the application for low-spec devices and ensuring high-quality video streaming under limited bandwidth conditions. This study contributes to the field by providing a structured development approach for real-time live streaming applications, offering insights into best practices for integrating Flutter and Firebase. Future enhancements may explore automatic video quality adjustment and artificial intelligence-driven user interaction improvements to further refine the user experience.
OPTIMALISASI STRATEGI PROMOSI BERDASARKAN WAKTU DAN JENIS PRODUK MENGGUNAKAN ALGORITMA FP-GROWTH Andaranti, Arifah Fadhila; Afdal, M.; Permana, Inggih; Jazman, Muhammad; Marsal, Arif
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 2 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/dy69fk12

Abstract

Aba Mart is a convenience store that provides a wide range of daily necessities. One of the challenges faced by Aba Mart is the uncertainty in determining the optimal timing for product promotions. To address this issue, this study utilizes sales transaction data obtained from the store’s Point of Sale (POS) system, totaling 12,887 transactions recorded from March to August 2024. The dataset includes attributes such as date and product name, which were processed through attribute selection, categorization into 33 product types, conversion of dates to days, and transformation into boolean format for analysis. The study applies the Association Rule Mining (ARM) technique using the Frequent Pattern Growth (FP-Growth) algorithm to identify the relationship between the time of purchase and the types of products bought. The results demonstrate that the FP-Growth algorithm successfully identified patterns of association. By testing with minimum support values of 2%, 3%, and 4%, and a minimum confidence of 10%, the analysis produced 15 association rules in March, 11 in April, 14 in May, 13 in June, 11 in July, and 13 in August 2024. These rules have been used as a foundation for formulating more effective and targeted promotional strategies for Aba Mart.
Analisa Manajemen Risiko IT Pada Sistem Informasi Manajemen Proyek Konstruksi dengan ISO 31000 Dharmawan, Muhammad Rizky; Jazman, Muhammad; Adam, A
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.902

Abstract

Information systems are very important for companies to do their daily work. This includes taking care of customer information, handling loans, and keeping track of how well projects are going. But even though information systems are helpful, relying on them more and more can cause problems, especially with data security. PT Sumi Gita Jaya has started using a Corporate Project Management Information System (SIMPP) to make projects run better and to help manage customer information. This research wants to find out the Risk Priority Number (RPN) value to help give advice on how to handle risks in the Company Project Management Information System (SIMPP). The research uses the ISO 31000:2018 method to measure how risky the system is. The steps include finding risks, looking at them closely, calculating the RPN, judging the risks, and deciding what to do about them. This research looks at the level of risk from highest to lowest and provides reviews, treatments, and suggestions for fixing problems caused by risks.
Co-Authors Adam, A Ahsyar, T. Khairil Ahsyar, Tengku Khairil Am, Andri Nofiar Andaranti, Arifah Fadhila Angraini Angraini Anisa Nirmala, Fitri Anmi, Fauzi Hidayatul Anofrizen Anofrizen Aprinastya, Rachell Aqilla, Nabila Fadia Arif Marsal Ariyansir, Sigit Butar Butar, Febiola Siska Dermawan, Tri Dharmawan, Muhammad Rizky Eki Saputra Fahmi Rifai Fandi, Ridho Arif Febi Nur Salisah Fenty Kurnia Oktorina Fina Nasari Fitri Hamdi, Fathan Surya Hamzah, Muhammad Luthfi Herliza, Herliza Inggih Permana Khairil Ahsyar, Tengku Kusuma, Gathot Hanyokro M. Afdal MAULANA, BIMA Maulana, Rizki Azli Megawati - Miftahul Jannah Mona Fronita, Mona Muhammad Naufal, Muhammad Muhammad Ridwan Muttakin, Fitriani Novita Sari Nurhadi, Muhammad Permata, Nur Fitria Mita Prananda, Yaldri Oktra Praniffa, Anisya Caty Pribadi, Antoni Putri, Runi Aulia Rahman, Eman Rahmawita, Medyantiwi Raihan, Muhammad Renaldi, Rengga Rianda, Rahmad Didho Rice Novita Rika Aryati Rozanda, Nesdi Evrilyan Saputra , Eki Sari, Gusmelia Puspita Setiawati, Elsa Siregar, Syafril Syaifullah Syaifullah Syaifullah Yulianti, Nelvi Zarnelly Zarnelly