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All Journal Sistemasi: Jurnal Sistem Informasi INOVTEK Polbeng - Seri Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Sistem Cerdas JOISIE (Journal Of Information Systems And Informatics Engineering) Building of Informatics, Technology and Science Jurnal Dakwah dan Komunikasi
Angraini Angraini
Fakultas Sains dan Teknologi Universitas Islam Negeri (UIN) Sultan Syarif Kasim Riau
Religion Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences

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Analysis of Academic and Administration Information Systems Using Servqual and Kano Methods Sari, Cahya Metta; Hamzah, Muhammad Luthfi; Angraini, Angraini; Saputra, Eki; Fronita, Mona
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2713

Abstract

Academic and Administrative Information System (SIAKAdm) is an online-based information system service for students of Hangtuah University Pekanbaru. With the development of information systems in the academic field, we must also test information systems, there are several problems that users feel that the quality of service of the Academic Information System (SIAKAdm) has not run effectively and efficiently, such as, there are often delays when filling in KRS, color contrast in the system is too disturbing to the user's eyes, there is no edit menu on the student profile, and finally there is no complaint lyanan menu or C3 servicedesk menu. This research was conducted using the ServQual method and the Kano method. The ServQual Method can be said to be a method used to measure the quality of service attributes of a dimension, while the Kano Method can be interpreted as a model built to understand how well their product or service meets the needs of users. This data collection process is by conducting interviews and distributing questionnaires of 98 respondents using the Simple Random Sampling technique. The data was obtained using IBM SPSS 26 and calculated the GAP value using Microsoft Excel. The results of this study The highest gap value was in the Assurance variable, with a GAP value of -4.54. While the lowest gap value is in the Responsivennes variable of -2.51.
Analisis Kualitas Sistem SLIMS Terhadap Kepuasan Mahasiswa Dengan Metode E-Servqual dan Importance Performance Analysis Pangestu, M Yoga; Saputra, Eki; Angraini, Angraini; Hamzah, Muhammad Luthfi
Jurnal Inovtek Polbeng Seri Informatika Vol 9, No 1 (2024)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v9i1.4133

Abstract

SLIMS at the XYZ University library has been built since 2014 and began to be implemented in 2018 and has been running until now. During implementation there were several problems, including incomplete book collections, this caused students to prefer choosing books manually. Apart from that, sometimes there are still some problems that occur when processing the data used. Many users still don't understand how to use SLIMS. This research aims to measure the level of user satisfaction and provide suggestions for improving the SLIMS system. The method used in this research is E-Servqual which has 5 variables in this method and the Importance Performance Analysis method is used to compare user assessments of the level of importance of service quality. The data obtained from this research was distributing questionnaires to a sample of 100 respondents. Data processing was carried out using the SMART-PLS 4 tool. The analysis results obtained for the level of user satisfaction were 3 variables that were significant and influenced user satisfaction, namely the Empathy, Responsiveness and Tangible variables. Meanwhile, the other 2 variables, namely Assurance and Reliability, do not have a significant relationship with user satisfaction. This shows that students are still quite satisfied and a science analysis was carried out on 4 quadrants to evaluate service factor based on the level of user satisfaction
Sentimen Analisis Pada Ulasan Aplikasi Ajaib Di Google Play Store Dengan Algoritma Support Vector Machine Syahri, Alfi; Angraini, Angraini; Muttakin, fitriani
Jurnal Inovtek Polbeng Seri Informatika Vol 9, No 1 (2024)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v9i1.4047

Abstract

Perkembangan aplikasi mobile di bidang keuangan telah memberikan kemudahan dalam berinvestasi. Salah satu aplikasi yang bisa melakukan investasi adalah aplikasi Ajaib. Dalam menggunakan aplikasi, Anda dapat melihat rating dan review yang diberikan oleh pengguna di platform Google Play Store. Ulasan pengguna pada Aplikasi Ajaib memberikan gambaran penting bagi calon pengguna dalam memahami kualitas dan kepuasan pengguna. Namun, banyaknya tinjauan membuat analisis manual menjadi sulit dan tidak efisien. Oleh karena itu diperlukan suatu teknik klasifikasi review yang memanfaatkan algoritma Support Vector Machine (SVM). Implementasinya dilakukan melalui bahasa pemrograman Python. Teknik Support Vector Machine menunjukkan akurasi luar biasa dalam menangani data berdimensi tinggi dan data tidak seimbang. Tujuan dari penelitian ini adalah untuk memfasilitasi kemajuan Aplikasi Ajaib dengan memanfaatkan umpan balik yang diberikan, mengatasi keluhan pelanggan, dan meningkatkan pengalaman pengguna secara keseluruhan. Data yang digunakan diambil dari review aplikasi sebanyak 5000 data dengan rating yang bervariasi pada bulan Januari hingga Oktober 2023. Berdasarkan hasil penelitian diperoleh akurasi sebesar 87,57%. Pada kelas positif diperoleh presisi 93%, recall 97%, dan skor f-1 95%. Sedangkan kelas netral memperoleh presisi sebesar 75%, recall 53%, dan skor f-1 sebesar 62%. Serta pada kelas negatif mendapatkan presisi sebesar 75%, recall sebesar 87%, dan skor f-1 sebesar 80%.
Religious Moderation In Youtube Content Pemuda Tersesat (Semiotic Analysis Of Habib Husain Ja'far Al-Haddar) Gandhi, Al Mutia; Zulkarnain, Zulkarnain; Angraini, Angraini; Rahmayani, Nadya
Jurnal Dakwah dan Komunikasi Vol 8, No 2 (2023)
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/jdk.v8i2.8610

Abstract

This research focuses on the emergence of messages in the media in the form of religious moderation which aims to provide teaching related to moderation knowledge to viewers who are experiencing a crisis in terms of understanding and implementing religious moderation such as intolerance towards the implementation of other religious worship in the current era. The aim of this research is to find out and understand the concept of religious moderation  in Pemuda Tersesat content. The subject of this research is the Pemuda Tersesat YouTube channel. This research uses Rolland Barthes' semiotic analysis which includes denotation, connotation and myth. The data analysis technique uses qualitative descriptive. Data collection techniques use Library Research and Digital Research. The results of the research show that there is moderation in connotation, denotation and myth. The emergence of moderation varies in media by giving rise to the moderation that exists in today's society. As for religious moderation, in connotation, denotation and myth, there are values of moderation, understanding each other, respecting other people's beliefs, and doing justice to everyone. The emergence of religious moderation has become a middle way for various religious adherents as well as a solution so that every religious community does not have radical and intolerant views.
Analysis Of User Experience Of ChatGPT And Gemini Users Using The User Experience Quistionnaire (UEQ) For Education Nasrul, Ilham; Angraini, Angraini; Hamzah, Muhammad Luthfi; Saputra, Eki
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 3 (2024): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i3.2250

Abstract

AI is becoming more and more crucial in the digital age to support kids in overcoming obstacles to learning and succeeding academically. The use of chatbots is one example of AI progress. Two well-known chatbots are Gemini and ChatGPT. Because they are useful and support a variety of learning tasks, including answering questions, producing articles, expanding knowledge, and other academic activities, both applications are highly well-liked and preferred by students. By using a case study on the Facebook community with the number of samples needed in this study as many as 377 respondents based on the Krejcie and Morgan formula, The purpose of this study was to determine whether user experiences with different applications differed. User experience measurement was carried out using the User Experience Questionnaire (UEQ) approach on the variables of Efficiency, Novelty, Attractiveness, Stimulation, Perspicuity, and Dependability. The results of the study show that all user experience variables for the ChatGPT and Gemini applications received poor ratings, and there were no significant differences in any of these variables. However, based on UEQ measurements, it was found that both applications received better scores on the stimulation and novelty variables, while the attractiveness, clarity, efficiency, and accuracy variables received poor results. To improve user experience in the ChatGPT and Gemini applications, the quality of all variables needs to be enhanced.
User Experience Analysis of MyPertamina Application Using User Experience Questionnaire (UEQ) and System Usability Scale (SUS) Sakdiah, Gewik; Ahsyar, Tengku Khairil; Megawati, Megawati; Angraini, Angraini
Jurnal Sistem Cerdas Vol. 8 No. 1 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i1.486

Abstract

MyPertamina is a digital wallet application developed by PT Pertamina (Persero) to facilitate cashless fuel payments and offer loyalty programs. Despite exceeding 10 million downloads, the application received a 3.3 rating on Google Play Store as of May 2023, indicating user complaints. This study analyzes the user experience of the MyPertamina application using the User Experience Questionnaire (UEQ) and System Usability Scale (SUS). Respondents were active users selected purposively through online questionnaires. The study results show all UEQ dimensions scored within the neutral range, with the highest score on Perspicuity (mean 0.453) and the lowest on Novelty (mean -0.068). SUS measurements place the application in the Marginal Low category under acceptability ranges and grade D in the grade scale, indicating significant room for improvement. However, the application received a ”Good” rating in the adjective rating category, reflecting its utility despite suboptimal performance. In conclusion, the MyPertamina application requires enhancements to meet user expectations and improve overall user experience
Analysis of ChatGPT User Acceptance Among Gen Z using UTAUT and TPB Methods Putra, Defri Indra; Fronita, Mona; Angraini, Angraini; Megawati, Megawati
SISTEMASI 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.v14i4.5315

Abstract

The rapid advancement of digital technology has led to various innovations, one of which is ChatGPT—a language model powered by artificial intelligence (AI) that has gained significant popularity among younger generations, particularly Generation Z. This study aims to analyze the factors influencing the acceptance and use of ChatGPT among Gen Z by integrating two theoretical frameworks: the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Theory of Planned Behavior (TPB). Based on data analysis using Structural Equation Modeling with the Partial Least Squares (SEM-PLS) approach, the research model demonstrates strong explanatory power, with an R² value of 0.722 for behavioral intention and 0.687 for use behavior. This indicates that the variables within the model account for a substantial proportion of the variance in the intention and actual use of ChatGPT. Out of the ten hypotheses tested, only four relationships were found to be statistically significant: Perceived Behavioral Control → Behavioral Intention, Perceived Behavioral Control → Use Behavior, Habit → Behavioral Intention, and Behavioral Intention → Use Behavior. The study involved 96 Gen Z respondents residing in Pekanbaru, selected using a simple random sampling technique. Data were collected through the random distribution of questionnaires in various WhatsApp groups. The findings indicate that individual perceptions of control and habitual use play a crucial role in determining both the intention and actual behavior of using ChatGPT. In contrast, variables such as subjective norm, attitude toward behavior, performance expectancy, effort expectancy, hedonic motivation, and facilitating conditions did not show significant influence in this context. These results suggest that internal factors—particularly perceived behavioral control and user habits—are more dominant in influencing ChatGPT usage among Gen Z than external or social factors. Therefore, it is essential to design features that enhance user autonomy and promote the formation of positive usage habits.
User Acceptance Analysis of the BRImo Mbanking Application using the UTAUT and TPB Methods Winata, Rahmad Waviq; Fronita, Mona; Angraini, Angraini; Megawati, Megawati
SISTEMASI 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.v14i4.5317

Abstract

The advancement of digital technology has revolutionized financial services through the development of mobile banking applications such as BRImo. This study aims to analyze user acceptance of Bank Rakyat Indonesia’s BRImo mobile banking application by integrating two theoretical approaches: the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Theory of Planned Behavior (TPB). The core issue addressed is that despite BRImo being one of the most popular mobile banking applications in Indonesia, various user complaints still persist, potentially affecting its acceptance level. Identified problems include technical issues such as account blocking, login errors, and undelivered transaction notifications. This research employs a quantitative approach through the distribution of Likert-scale questionnaires to active university students in Pekanbaru who use the BRImo application. The results show that the model explains 20.0% of the variance in behavioral intention (R² = 0.200) and 24.3% of the variance in actual use behavior (R² = 0.243). Of the twelve proposed hypotheses, only three relationships were found to be significant: Attitude Toward Behavior on Behavioral Intention, Facilitating Conditions on Use Behavior, and Perceived Behavioral Control on Use Behavior. Conversely, variables such as Performance Expectancy, Effort Expectancy, Subjective Norms, Habit, Hedonic Motivation, and Behavioral Intention showed no significant effect. These findings indicate that internal factors such as user attitudes and behavioral control, along with external factors like the availability of support facilities, play an important role in driving actual usage behavior of the BRImo application. The study provides valuable insights, suggesting that users’ perceptions of accessibility and technical support have a stronger influence on actual usage than mere intention to use.
Analysis of Facebook Pro User Satisfaction Using the PIECES Method 'alimah, Muta; Megawati, Megawati; Angraini, Angraini; Fronita, Mona; Zarnelly, Zarnelly
SISTEMASI 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.v14i4.5121

Abstract

Facebook Pro is a feature developed by Meta to provide a professional experience for users in managing content and interactions on the Facebook platform. However, user satisfaction with this feature has not been extensively studied, particularly in the city of Pekanbaru. This study aims to analyze the level of user satisfaction with Facebook Pro in Pekanbaru using the PIECES framework, which consists of six key variables: Performance, Information and Data, Economy, Control and Security, Efficiency, and Service. The research findings indicate that the satisfaction scores for each variable are as follows: Performance (3.70), Information and Data (3.84), Economy (3.37), Control and Security (3.48), Efficiency (3.58), and Service (3.70). Most of these fall under the “satisfied” category, with the exception of Economy, which is rated as “moderately satisfied.” Overall, the average satisfaction score was 3.61, placing user satisfaction within the “satisfied” category. These results suggest that most users feel comfortable and supported by the features and services provided by Facebook Pro. However, the relatively lower scores in the Economy and Control and Security dimensions highlight areas where users are experiencing challenges, indicating a need for improvement in those aspects.
Classification of Service Sentiments on the by.U Application using the Support Vector Machine Algorithm Zulkarnain, Zulkarnain; Novita, Rice; Angraini, Angraini; Zarnelly, Zarnelly
SISTEMASI 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.v14i4.5367

Abstract

This study aims to classify user sentiment toward the by.U application service using the Support Vector Machine (SVM) algorithm. The background of this research is based on the importance of understanding user opinions on the quality of digital services as a basis for evaluation and service improvement. Review data was collected from the Google Play Store, totaling 9,091 data points, which were then processed through preprocessing stages such as cleaning, case folding, tokenization, stopword removal, and stemming. Sentiments were categorized into three groups: positive, negative, and neutral. The training and testing process involved dividing the data into training and testing sets with an 80:20 ratio, and evaluation was conducted using metrics such as accuracy, precision, recall, and F1-score. The evaluation results showed that the SVM algorithm achieved an accuracy of 83% in classifying sentiments. The model performed best on positive sentiment (precision 84%, recall 90%, F1-score 87%) and negative sentiment (precision 81%, recall 92%, F1-score 86%), while neutral sentiment still had weaknesses with an F1-score of only 64%. This indicates that neutral sentiment classification still requires model enhancement. This study demonstrates that SVM is an effective method for automatically analyzing user opinions on digital services. These classification results can serve as a reference for developers in evaluating and improving service quality based on user feedback.
Co-Authors 'alimah, Muta Ahsyar, Tengku Khairil Al Mutia Gandhi Basri, Faishal Khairi Eki Saputra Hamzah, Muhammad Luthfi Luciana Spica Almilia M Afdal Megawati - Mona Fronita, Mona Muttakin, Fitriani Nanang Shonhadji Nasrul, Ilham Ningsih, Widiah Pangestu, M Yoga Putra, Defri Indra Rahmayani, Nadya Rice Novita Rozanda, Nesdi Evrilyan Sakdiah, Gewik Sari, Cahya Metta Syahri, Alfi Syaifullah Syaifullah Winata, Rahmad Waviq Zarnelly Zarnelly Zulkarnain Zulkarnain