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All Journal JDM (Jurnal Dinamika Manajemen) JUSIFO : Jurnal Sistem Informasi Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Sistemasi: Jurnal Sistem Informasi Briliant: Jurnal Riset dan Konseptual Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Sistem Cerdas EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Riwayah : Jurnal Studi Hadis Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Pendidikan dan Teknologi Indonesia J-SAKTI (Jurnal Sains Komputer dan Informatika) Indonesian Journal of Informatic Research and Software Engineering Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Informatics, Electrical and Electronics Engineering The Indonesian Journal of Computer Science Scientific Journal of Informatics
Arif Marsal
Fakultas Sains dan Teknologi Universitas Islam Negeri (UIN) Sultan Syarif Kasim Riau
Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Other

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Analisis Manajemen Risiko Keamanan Sistem Pengolahan Data Accurate Menggunakan Metode OCTAVE-S Butar, Fajar Rido Butar; Saputra, Eki; Marsal, Arif; Hamzah, Muhammad Luthfi; Fronita, Mona
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.676

Abstract

PT.XYZ is a palm oil company currently implementing the Accurate data processing system to manage data at its factory. This system is utilized for weighing incoming palm fruit, processing palm fruit within the factory, and generating various reports. However, during the implementation process, the system has encountered several threats that have had an impact on the company. These threats include connection errors, human errors, and server downtime. To address these issues, a threat risk analysis is necessary to minimize the likelihood of similar problems occurring in the future. In this study, the OCTAVE-S method is employed as it offers solutions for managing other threats. The risk analysis results indicate that there are six security practices that pose a high risk to the company's system security. These practices are IT Security Monitoring and Audit, Authorization and Authentication, Vulnerability Management, Encryption, Security Planning and Architecture, and Incident Management. Based on these findings, it is recommended that the company conducts a review of its security practices to prevent the emergence of new risks that may affect its business processes.
Analisis Manajemen Risiko IT Pada Sistem Informasi Akademik Menggunakan ISO 31000 Fahlepi, Ridho; Fronita, Mona; Saputra, Eki; Hamzah, Muhammad Luthfi; Marsal, Arif; Daulay, Suandi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.675

Abstract

The development of information technology is unavoidable. All aspects of human life require information technology. The use of information technology makes work easier to carry out. However, information technology also poses risks that can threaten the activities of an agency. The Pekanbaru College of Technology (STT) has implemented an Academic Information System (SIAKAD) to improve academic administration services, such as managing KRS, KHS, value input, schedules, and payments. Through interviews, it was identified possible risks that could disrupt business processes in the agency. The purpose of this study was to obtain an RPN (Risk Priority Number) value to provide recommendations for risk treatment in the Academic Information System (SIAKAD). The method used is ISO 31000 to measure the level of risk. The research stages include risk identification, risk analysis, calculation of RPN values, risk evaluation, and risk treatment. This research produces a level of risk from the highest to the lowest that can be used as a reference in the evaluation, treatment, and recommendations to overcome these risks.
Customer Satisfaction Analysis of ShopeeFood Service Quality using E-Servqual Method and Importance-Performance Analysis Yanti, Rahma; Megawati, Megawati; Zarnelly, Zarnelly; Saputra, Eki; Marsal, Arif
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (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.v14i1.4785

Abstract

ShopeeFood was launched in April 2020. However, since its initial release, traffic to ShopeeFood services did not immediately perform well, as the platform had to compete with major players like GoFood and GrabFood, which are already well-known among the public. Numerous negative customer reviews about ShopeeFood indicate that customer satisfaction with the company's performance remains low. To measure the level of customer satisfaction, this study employed the E-Service Quality (E-Servqual) and Importance-Performance Analysis (IPA) methods. The results of the study show that, on average, the seven dimensions of E-Servqual measured exhibit a gap, with the average gap being negative. The highest gap was found in the "Responsiveness" dimension (-0.32), while the lowest gap was in the "Efficiency" dimension (-0.01). These findings indicate a discrepancy between customer expectations and satisfaction, suggesting that ShopeeFood's services are perceived as less satisfactory by its users. Data analysis revealed that the Importance-Performance Analysis (IPA) matrix for ShopeeFood's service quality highlights several attributes as top priorities for improvement. These attributes, identified through the Cartesian diagram of the Importance-Performance Analysis, fall under Quadrant I, specifically R11, RE16, and C19.
Implementation of Naive Bayes and Support Vector Machine Classification Algorithms for Sentiment Analysis of Bilingual Cyberbullying on X Application Sari, Novita; Jazman, Muhammad; Ahsyar, Tengku Khairil; Syaifullah, Syaifullah; Marsal, Arif
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (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.v14i1.4799

Abstract

The significant increase in social media usage has contributed to the rise in cyberbullying incidents, particularly in the context of multilingual language use. This study aims to conduct sentiment analysis to detect potential cyberbullying content on the X application using a bilingual approach (Indonesian and English) and leveraging the Naive Bayes (NB) and Support Vector Machine (SVM) algorithms. Tweets are collected and processed through a pre-processing stage to extract relevant features for sentiment analysis. Both algorithms are then applied to classify tweets into positive, negative, or neutral categories and identify indications of cyberbullying. The results of the trials indicate that the NB algorithm outperformed SVM, achieving an accuracy rate of 87%. Furthermore, in identifying cyberbullying patterns in bilingual text, NB reached the highest accuracy rate for the Indonesian language at 87%. These findings suggest that this study can serve as a reference for developing more accurate and responsive cyberbullying detection systems on bilingual social media platforms.
Analysis of User Satisfaction Levels for X Mobile Application in Pekanbaru using End-User Computing Satisfaction (EUCS) and Technology Acceptance Model (TAM) Methods Butar Butar, Febiola Siska; Zarnelly, Zarnelly; Jazman, Muhammad; Novita, Rice; Marsal, Arif
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (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.v14i1.4851

Abstract

Mobile X is a digital innovation in banking transactions, combining mobile banking, internet banking, and e-money functions into a single platform. However, Mobile X faces several usage challenges that lead to user dissatisfaction. Therefore, an analysis of user satisfaction is essential to improve customer loyalty. The End-User Computing Satisfaction (EUCS) and Technology Acceptance Model (TAM) methods are evaluation tools used to measure user satisfaction with an application system. This study employed a quantitative approach by distributing questionnaires to 100 respondents, determined using the Lameshow equation. The research model was analyzed through demographic analysis and model analysis using PLS-SEM, resulting in both internal and external models. The findings revealed that three hypotheses were accepted: the content variable (p-value = 0.495), the perceived usefulness variable (p-value = 0.007), and the timeliness variable (p-value = 0.001). Meanwhile, three hypotheses were rejected: the accuracy variable (p-value = 0.734), the content variable (p-value = 0.495), and the format variable (p-value = 0.184). Additionally, three user satisfaction factors were found to be significant for the accepted variables, indicating that meeting user expectations, perceived usefulness, information quality, and timeliness positively contribute to user satisfaction. This demonstrates that these factors effectively address user needs and enhance overall satisfaction with the Mobile X application.
Rancang Bangun Sistem Informasi Penerimaan Peserta Didik Baru (PPDB) Berbasis Web (Studi Kasus: SMA Negeri 2 Bangkinang Kota) Alfian, Zhevin; Marsal, Arif
Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Vol 11, No 1 (2025): Februari
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/rmsi.v11i1.28522

Abstract

SMA Negeri 2 Bangkinang Kota, yang terletak di Kecamatan Bangkinang Kota, Kabupaten Kampar, Riau, telah melakukan proses penerimaan peserta didik baru secara manual sejak berdirinya pada tahun 1987. Menghadapi ketidakefisienan dengan registrasi manual dan input data menggunakan Microsoft Excel, penelitian ini dilakukan melalui wawancara, analisis sistem, dan desain. Dengan menggunakan metode waterfall, Object-Oriented Analysis and Design (OOAD), dan Unified Modeling Language (UML), penulis mengembangkan Sistem Informasi Penerimaan Peserta Didik Baru Berbasis Web. Sistem ini bertujuan untuk menyederhanakan dan mengkomputerisasi proses pendaftaran, memberikan kemudahan bagi calon peserta didik dan staf. Hasil penelitian ini dapat mempermudah registrasi peserta didik baru tanpa kunjungan langsung ke kantor administrasi, meningkatkan efisiensi secara keseluruhan, dan pengalaman pengguna.
Analisa Kualitas Website Lancangkuning.Com Menggunakan Metode Webqual 4.0 dan Importance Performance Analysis Nazaf, Latiful; Saputra, Eki; Megawati, Megawati; Zarnelly, Zarnelly; Marsal, Arif
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 2 (2025): JPTI - Februari 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.484

Abstract

Website portal berita Lancangkuning.com dalam penerapannya masih terdapat permasalahan, seperti iklan yang besar yang mengganggu tampilan, navigasi yang kurang responsif, serta informasi yang jarang diperbarui. Sehingga penelitian ini berfokus pada dua hal utama yaitu pengukuran kualitas website Lancangkuning.com dan menganalisis apakah kualitas website memiliki pengaruh kepada kepuasan pengguna. Untuk mengukur kualitas website maka digunakan WebQual 4.0 yang selanjutnya hasilnya akan dipetakan pada kuadran Importance-Performance Analysis. Penelitian ini menggunakan 3 variabel independen yaitu dimensi pada WebQual seperti usability, information quality, dan service interaction quality. Selain variabel independen, terdapat variabel dependen yaitu customer satisfaction. Hasil pengukuran dari 100 responden penelitian menunjukkan bahwa sebanyak 2 atribut pernyataan berada pada kuadran I IPA dan 5 atribut pernyataan berada pada kuadran III IPA. Hasil uji t-statistic dan p-value menunjukkan bahwa seluruh dimensi pada WebQual mempengaruhi secara bersamaan. Dari hasil analisis pengaruh tersebut dapat disimpulkan bahwa perbaikan untuk kuadran I IPA dan kuadran III IPA harus berdasarkan prioritasi yaitu nilai kesenjangan dan dimensinya secara urut yaitu usability, information quality, dan service interaction quality.
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.
Klasifikasi Sentimen Pengguna X Terhadap Pemboikotan Produk Pro Israel Menggunakan Algoritma Machine Learning Susanti, Pingki Muliya; Afdal, M; Permana, Inggih; Marsal, Arif
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.v6i4.6533

Abstract

The campaign to boycott pro-Israel goods emerged as a result of the enduring conflict between Israel and Palestine. This boycott initiative led to a decline in sales, which adversely impacted the livelihoods of employees, manifesting in diminished bonuses, salary reductions, and job terminations. Such actions elicited a variety of reactions from the public on platform X. This study seeks to categorize the sentiments of X users regarding the boycott of pro-Israel products by comparing the efficacy of Machine Learning algorithms, namely Support Vector Machine and Random Forest. To address the class imbalance within the dataset, this research employs the synthetic minority over-sampling technique (SMOTE). The dataset comprised 2,275 entries, gathered through web scraping methods on the X platform. The findings indicate that a majority of X users in Indonesia endorse the boycott movement, exhibiting a positive sentiment of 58%. The SVM algorithm, when combined with SMOTE, demonstrated the highest performance in sentiment classification, achieving an accuracy of 90.54%, whereas Random Forest attained an accuracy of only 83.1%. This research offers insights into the views of the Indonesian populace regarding the boycott of pro-Israel products.
Analysis of The Influence of Trust on User Satisfaction of Mobile Application E-Commerce Using DeLone and McLean Method Amani, Nailul; Megawati, Megawati; Maita, Idria; Nur Salisah, Febi; Marsal, Arif
Jurnal Sistem Cerdas Vol. 8 No. 1 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i1.490

Abstract

Lazada is one of the mobile-platform based e-commerce that has more than 100 million downloads. Lazada is an e-commerce site that offers several necessities such as mobile phones or tablets; household appliances, health and beauty, men's and women's fashion, baby and children's equipment, and electronics. User satisfaction is one of the important factors in the success of e-commerce implementation. However, there are still many complaints felt by Lazada application users which have an impact on user trust and satisfaction. Therefore, this study aims to determine the level of user satisfaction and how the trust factor influences user satisfaction on the Lazada mobile application using the DeLone& McLean model by adding the trust variable. Respondents in this study were Lazada application users in Pekanbaru City. This study uses a quantitative approach by distributing questionnaires online and sampling using a purposive sampling technique. The total data collected from 100 respondents was analyzed using the PLS-SEM technique with the help of the SmartPLS 4.0 tool. The results of this study indicate that Information Quality, Trust, and Use have a significant influence on user satisfaction and user satisfaction has a significant effect on trust. Of the 10 hypotheses proposed, four were rejected, namely information quality on trust, service quality on user satisfaction, system quality on user satisfaction, and trust on net benefit.
Co-Authors Abror Abror Adillah, Suci Nur Al Kiramy, Razanul Al-Yasir, Al-Yasir Alfian, Zhevin Angraini Angraini Anofrizen Anofrizen Ariansah, Rizky Ariyansir, Sigit Arrazak, Fadlan Butar Butar, Febiola Siska Butar, Fajar Rido Butar Chandra, Agus Firdaus Daulay, Suandi Dermawan, Tri Eki Saputra Fahlepi, Ridho Febi Nur Salisah Febrian, Dany Fikri, Nidhal Hamzah, Muhammad Luthfi Harmaniola, Elsa Hayati, Safira Malia Ikromi, Zul Inggih Permana Jazman, Muhammad Kurniawansyah, Fito Cahya Kusuma, Gathot Hanyokro M. Afdal M. Afdal, M. Afdal M.Afdal Megawati Megawati - Mona Fronita, Mona Munzir, Medyantiwi Rahmawita Mustakim Mustakim Muttakin, Fitriani Nabillah, Putri Nailul Amani Nanda Nazira Naufal Fikri, R. Adlian Nazaf, Latiful Nisa', Sayyidatun Novita Sari Perengki Susanto Praniffa, Anisya Caty Pratama, Arya Yendri Pratama, Muhammad Wahyu Putera, Thariq Pratama Putri, Amanda Iksanul Rahmawita, Medyantiwi Rice Novita Rozanda, Nesdi Evrilyan Ryna Parlyna, Ryna Sari, Gusmelia Puspita Siregar, Muslim Putra Perdana Susanti, Pingki Muliya Susanto, Parengki Syaifullah Syaifullah Syaifullah Tasia, Ena Tengku Khairil Ahsyar Wulan, Damar Yanti, Rahma Yunus, Adynata bin Zarnelly Zarnelly Zarnelly