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All Journal JUSIFO : Jurnal Sistem Informasi Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi Sistem Informasi dan Aplikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) 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
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.
Evaluasi Kualitas Layanan Sistem e-Puskesmas di Kecamatan Sungai Mandau Melalui Kerangka Kerja E-SERVQUAL dan Model Kano Setiawati, Elsa; Salisah, Febi Nur; Jazman, Muhammad; Rahmawita, Medyantiwi
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 9 (2025): JPTI - September 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.978

Abstract

Permasalahan dalam penerapan sistem e-Puskesmas masing terjadi, terutama terkait kualitas layanan digital yang belom optimal. Keluhan seperti sistem tidak stabil, tampilan antarmuka membingungkan, dan kurangnya pelatihan menunjukkan perlunya evaluasi menyeluruh. Penelitian ini menggunakan pendekatan kuantitatif dengan metode E-SERVQUAL dan Model Kano. E-SERVQUAL mengukur kesenjangan antara persepsi dan harapan pengguna berdasarkan tujuh dimensi: efficiency, system availability, fulfillment, privacy, responsiveness, compensation, dan contact. Model Kano digunakan untuk mengklasifikasikan atribut layanan berdasarkan dampaknya terhadap kepuasan pengguna. Hasil menunjukkan bahwa seluruh atribut memiliki nilai GAP negative, dengan rata-rata nilai Q sebesar 0.91. ini menandakan bahwa layanan belum memenuhi harapan pengguna. Berdasarkan Model Kano terdapat 12 atribut one-dimensional, 4 attractive, 3 ust-be, dan 1 indifferent. Temuan ini menunjukkan bahwa perbaikan perlu difokuskan pada atribut yang berdampak langsung terhadap kepuasan.
User Satisfaction in Public Sector Digital Transformation: A Critical EUCS Analysis of the E-Kinerja Application in Indragiri Hilir Regency Dermawan, Tri; Jazman, Muhammad; Ahsyar, Tengku Khairil; Saputra, Eki; Muttakin, Fitriani; Marsal, Arif
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 9 (2025): JPTI - September 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.1079

Abstract

The accelerated global push for digitalized public services places immense pressure on government agencies to ensure the effectiveness and user acceptance of new information systems. This study critically investigates user satisfaction with the E-Kinerja application, a pivotal e-performance management system implemented at the Regional Personnel and Human Resource Development Agency (BKPSDM) of Indragiri Hilir Regency. Utilizing the well-established End-User Computing Satisfaction (EUCS) model, encompassing content, accuracy, format, ease of use, and timeliness dimensions, this research employs a quantitative approach. Data were collected via questionnaires from 36 active users (total population) and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) in SmartPLS. The findings reveal a nuanced and unexpected pattern of influence: only the Content (T-Statistic = 2.002, p<0.05) and Timeliness (T-Statistic = 2.433, p<0.05) dimensions significantly and positively impact user satisfaction. Crucially, Accuracy, Format, and Ease of Use did not exhibit a statistically significant influence. The model explained a substantial 76.7% of user satisfaction variance. This counter-intuitive outcome challenges generalized EUCS applicability in mandatory government contexts, suggesting that user priorities in public sector performance systems may uniquely emphasize core utility and promptness over aesthetic or perceived ease. These findings offer critical insights for public administrators prioritizing IT investments and contribute to refining the theoretical understanding of EUCS dynamics in specific organizational environments. Recommendations include prioritizing content quality and timely information delivery, while re-evaluating the perceived importance of other dimensions in similar government settings.
Analisis Sentimen Masyarakat Menggunakan Algoritma Long Short Term Memory (LSTM) Pada Ulasan Aplikasi Halodoc Yulianti, Nelvi; Afdal, M; Jazman, Muhammad; Megawati, Megawati; Anofrizen, Anofrizen
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.7243

Abstract

Halodoc is a digital healthcare platform that provides users with convenient access to medical services online. This study aims to analyze public sentiment toward the Halodoc application based on 1,416 user reviews collected during the period from July to September 2024. The reviews are categorized into three sentiment classes: positive, negative, and neutral, using the Long Short-Term Memory (LSTM) algorithm. Prior to classification, the Word2Vec technique is applied to transform the words in the reviews into numerical vector representations for processing by the model. The analysis revealed that a portion of the reviews expressed negative sentiments, mainly concerning delays in medication delivery and slow responses from customer service. Model performance evaluation shows that the implementation of the LSTM algorithm optimized with the Adam (Adaptive Moment Estimation) optimizer and a dropout rate of 0.2 achieved the highest accuracy of 89.40% and an F1-score of 88.63%. These results indicate that the model performs very well in classifying sentiments and can be used as a useful tool for understanding user satisfaction with the Halodoc application.
ANALYSIS OF DIGITAL LIBRARY SERVICE QUALITY ON USER SATISFACTION USING WEBQUAL, LIBQUAL AND IPA METHODS Rahman, Eman; Jazman, Muhammad; Zarnelly, Zarnelly; Permana, Inggih
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.942

Abstract

Universitas Pahlawan Tuanku Tambusai has used the information system Senayan Library Management System (SLiMS) version 7. SliMS is an integrated system to provide information to support operational, management and decision-making functions in libraries. However, there are still obstacles in its use, namely, the lack of tools and technology to support the implementation of the SLiMS system, the unattractive SliMS content, the OPAC service menu is less effective in searching for references in the library, and the book collection is rarely updated so it does not meet what the user needs. This study aims to measure the service quality of SLiMS from the user's perspective. This research instrument used Web Quality (WebQual), Library Quality (LibQual), and Importance Performance Analysis (IPA) methods. The results of this study resulted in a good level of system service quality but GAP was still found from perceived performance which still had a value of <0 or -0.63 and a conformity level of 78%, which meant that there were still results of user dissatisfaction with the performance provided by the service. SLiMS Hero University of Tuanku Tambusai. Quadrant A results are a top priority to be improved. the variables are: Easy to navigate (UQ3), Attractive appearance (UQ5), Latest available information (SI1), Provides detailed information (SI4), Provides up to date information (IC3), Cleanliness and beauty (LP2), Lighting and temperature settings (LP3), Guidance from the librarian (AS5).
Co-Authors Am, Andri Nofiar Angraini Angraini Anisa Nirmala, Fitri Anofrizen Anofrizen Antoni Pribadi Aprinastya, Rachell Aqilla, Nabila Fadia Arif Marsal Ariyansir, Sigit Butar Butar, Febiola Siska Dermawan, Tri 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 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 Praniffa, Anisya Caty Putra, Adhytia Pratama 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 Tengku Khairil Ahsyar Yulianti, Nelvi Zarnelly Zarnelly