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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) SITEKIN: Jurnal Sains, Teknologi dan Industri JUSIFO : Jurnal Sistem Informasi Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Sistemasi: Jurnal Sistem Informasi JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA Seminar Nasional Teknologi Informasi Komunikasi dan Industri INOVTEK Polbeng - Seri Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknologi Sistem Informasi dan Aplikasi JURIKOM (Jurnal Riset Komputer) Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknik Informatika (JUTIF) Teknika Jurnal Pendidikan dan Teknologi Indonesia JoMMiT : Jurnal Multi Media dan IT KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Teknik Informatika Jurnal Algoritma Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Informatics, Electrical and Electronics Engineering Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika
Tengku Khairil Ahsyar
Universitas Islam Negeri Sultan Syarif Karim Riau
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Other

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Analisa Manajemen Risiko Sistem Informasi Perpustakaan Menggunakan Metode Failure Mode Effect and Analysis (FMEA) Maisarah Assa'diyah; Tengku Khairil Ahsyar; M Afdal
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.867

Abstract

Public libraries that have implemented information technology in their business processes have a great responsibility in service and management because the visiting users are the general public. In implementing information technology, maintaining the security of user data, members, resources, and library information is very important. Digital libraries must have consideration of the risks and threats that may occur. The risks and threats that can occur are as follows server damage, hardware damage, staff negligence, loss, and natural disasters. The purpose of this research is to analyze risk management by identifying risks and measuring the level of risk from one of the Riau Province Library and Archives Services which already uses a library automation system, namely INLISLite. The method used to identify and assess risk is the Failure Mode Effect and Analysis (FMEA) method. Risk assessment is based on calculating the value of the Risk Priority Number (RPN) resulting from multiplying the level parameters severity, occurrence, and detection. Risk assessment is carried out based on the category list of asset components that support the running of the system, namely, hardware, software, data, people, and network. From the calculations that have been carried out, there are six categories of RPN levels, namely 1 score at a very high level, 3 scores at a high level, 2 scores at a medium level, 16 scores at a low level, and 1 score at a very low level. From the results of the RPN value that needs to be given recommendations for action, namely the RPN value which is at very high and high levels
Evaluasi Usability Pada Sistem Informasi Beasiswa Menggunakan Metode Heuristic Evaluation dan Think Aloud Riska Ayuni; Tengku Khairil Ahsyar; Muhammad Luthfi Hamzah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.873

Abstract

The scholarship information system needs to cover several aspects so that it can always maintain the superior quality of use and existing information, one of which is the usability aspect. Based on initial observations that have been made on the information system, there is user dissatisfaction such as sometimes errors when inputting data by staff, inconsistencies in some displays, no menu for forgotten password, no contact information, no help menu, parts of the site interface are difficult to understand. . The problem is related to usability. Usability evaluation is carried out to evaluate the system based on the level of effectiveness, efficiency and satisfaction. The purpose of this research was to evaluate the ease of use of the UIN Suska Riau Scholarship information system. The purpose of this evaluation is to see how easy the system is to use and to make recommendations about possible improvements. Data collection through observation, interviews, and questionnaires. in the heuristic evaluation method the data analysis method used is usability testing, and the data processing tool used is Statistical Product Solution (SPSS) Statistics 23 software from IMB Software. and 8 to 10 respondents for Think Aloud. For the evaluation of this study, two approaches were used, Heuristic Evaluation and Think Aloud. Heuristic Evaluation is used to evaluate the interface using a heuristic questionnaire, while Think Aloud is used to evaluate the use of the information system based on what the user says. At the Think Aloud data collection stage, each participant will carry out a task scenario to provide criticism or reveal the problems they are experiencing. The results of the data analysis succeeded in identifying identified gaps in the information system assessed in this study and providing recommendations for improvement. The results of the Heuristic Evaluation Analysis show that this system obtains a percentage score of 75%, which indicates a sufficient level of goodness for its users. However, there is a total of 25% where deficiencies are found in the system, it shows that this system is not good for its users. Then, through Think Aloud analysis, found up to 23 suggestions for improvement for the system being evaluated. Future research can further evaluate the implementation of these improvement recommendations
Evaluasi Usability Sistem Informasi Penelitian dan Pengabdian Masyarakat Menggunakan Heuristic Evaluation dan Human-Centered Design Efilda; Tengku Khairil Ahsyar; Muhammad Lutfhi Hamzah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.874

Abstract

Education is an asset for successfully building human resources in competition in the digital age. The world of education must increase the effectiveness of building education in this country in accordance with increasingly sophisticated technological advances such as the Information System for Research and Community Service (SIP). SIP is used to assist organizations in reporting work processes as operational achievements of external organizations as well as enabling task completion. The main problem with the SIP website is that it has never been evaluated in terms of usability since the system was used. This study aims to evaluate the usability of SIP websites using Heuristic Evaluation and Human-Centered Design. Usability is a very important factor for website acceptance. The Heuristic Evaluation uses 3 evaluators to assess the SIP website and uses 10 Heuristic Evaluation principles. The Human Centered Design method is used as a tool for developing designs and interactive systems that focus on user needs. From the results of the initial Heuristic Evaluation carried out by 3 evaluators by producing 21 problems as a basis for improving solution designs using prototypes. Furthermore, the second heuristic evaluation resulted in a decrease in problems, namely 3 problems located in the Heuristic code H1 Visibility Of System Status. This problem is a new problem found by evaluator 1. After doing a comparison, it can be concluded that the evaluation of the solution design resulted in a reduction of 18 problems from the 21 problems found to 3 problem findings found in the solution design evaluation
Sistem Pakar Diagnosa Gizi Buruk Pada Balita Berbasis Mobile Menggunakan Metode Certainty Factor Afdal Muhammad Efendi; Tengku Khairil Ahsyar; M Afdal; Febi Nur Salisah; Syaifullah Syaifullah
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 4 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i4.6307

Abstract

Maltnutrition has a significant impact on children’s development and is a common problem in developing countries, including Indonesia. There are many factors that contribute to malnutrition, one of which is the lack of understanding and knowledge among parents regarding childcare and proper nutrition. This has motivated the author to develop an expert system application for diagnosing malnutrition in toddlers, aiming to facilitate the community, especially mothers with toddlers, in early diagnosis of malnutrition symptoms and diseases through mobile devices. This expert system application is built using Java Programming language with the assistance of Android studio as the development tool. The system analysis employed is the Unified Modeling Language (UML) to provide an overview of the application to be created. Testing is conducted using the Black Box method and data validation yields nearly 100% accuracy. The calculation for diagnosing symptoms and diseases utilizes the Certainty Factor methode, which serves as the calculation of value within the expert system application. The testing results based on symptoms and diseases through the applied calculation method achieve a 92% accuracy rate. The development of this application is expected to assist the community, especially mothers with toddlers, in identifying early symptoms and diseases of malnutrition in children, as well as obtaining solutions for the experienced illnesses.
Perbandingan Algoritma Naïve Bayes Classifier Dan K-Nearest Neighbor Pada Sentimen Review Aplikasi Mobile JKN Citra Annisa; M. Afdal; Tengku Khairil Ahsyar
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 3 (2023): Juli 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i3.6242

Abstract

BPJS Health must provide health services for the people of Indonesia. With the availability of the Mobile JKN application, it is useful to facilitate services for participants of the National Health Insurance-Indonesian Health Card (JKN-KIS). Mobile JKN is an innovation in electronic government health insurance services, making it easier for the public to access services and information quickly in the palm of their hand. With this innovation, many pros and cons flowed from the community, various comments appeared in the Play Store review column, sentiment analysis could be used to assess and rate applications. Therefore, these sentiments can be analyzed into information that can be used as material for evaluation and consideration by BPJS Kesehatan regarding Mobile JKN. This study aims to look at the results of the accuracy comparison between the Naïve Bayes Classifier (NBC) and K-Nearest Neighbor (KNN) algorithms on the sentiment review of the Mobile JKN application on the Play Store. This study used the Naïve Bayes Classifier (NBC) and K-Nearest Neighbor (KNN) methods with data scrapping techniques to collect Play Store data for the past year, namely 2,847 data and divided into 3 classes, namely positive, neutral and negative. Distribution of data using 10 K-Fold Cross Validation so that a comparison of the accuracy level of the Naïve Bayes Classifier (NBC) is 61.15%, while the accuracy level of K-Nearest Neighbor (KNN) is 87.59%.
Enhancing Website Usability by Utilizing Heuristic Evaluation and User Feedback for Better User Experience Sulthan Habib; Tengku Khairil Ahsyar; M. Afdal; Febi Nur Salisah; Syaifullah Syaifullah
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3706

Abstract

This research focuses on improving the usability of the Portal KUKERTA website used by Lembaga Penelitian dan Pengabdian pada Masyarakat Universitas Riau (LPPM UNRI) for the Kuliah Kerja Nyata (KKN) program. Based on direct observations of the Portal KUKERTA website, several usability issues related to the system were identified. Combining heuristic evaluation and user feedback, the study aims to enhance the user experience and ensure a user-friendly interface. Analysis of feedback from 98 users revealed the highest severity ratings in Flexibility and Efficiency of Use, Error Prevention, and User Control and Freedom. Recommendations were developed to address these issues and improve the user experience. The integration of heuristic evaluation and user feedback provides valuable insights for enhancing the usability of the Portal KUKERTA website, serving the needs of students and lecturers. Additionally, the research results showed scores for various usability principles, including visibility of system status (1.838), match between system and real world (2.264), user control and freedom (3.786), consistency and standards (2.325), error prevention (4.062), recognition rather than recall (2.250), flexibility and efficiency of use (4.075), aesthetic and minimalist design (2.713), and help users recognize, diagnose, and recover from errors (2.843). These findings further guide the improvement of specific areas to enhance the overall usability of the Portal KUKERTA website.
Implementation of Classification Algorithm for Sentiment Analysis: Measuring App User Satisfaction Rizki Aulia Putra; Rice Novita; Tengku Khairil Ahsyar; Zarnelly
Teknika Vol 13 No 2 (2024): Juli 2024
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v13i2.827

Abstract

Google Play Store is the official app store for Android devices from Google that offers rating and review features. This feature on the platform is a source of data for sentiment analysis in research on app user satisfaction. The purpose of this study is to provide an overview of app user satisfaction and evaluate the accuracy of the algorithms used. The algorithms compared include Support Vector Machine (SVM), namely linear, rbf, sigmoid, and polynomial kernels with Naïve Bayes Classifier (NBC). The key variables analyzed include perceived usefulness, perceived ease of use, relia-bility, responsiveness, and website design. The results showed that the SVM algorithm with a linear kernel achieved the highest accuracy of 95.23% compared to the NBC algorithm of 91.43%. For other accuracy results, rbf kernel 94.35%, sigmoid kernel 95.19% and polynomial kernel 93.31%. In addition, the results of sentiment analysis on application user satis-faction revealed that 75% of users were dissatisfied, with the service indicator having the highest number of negative sen-timents. These findings suggest that sentiment analysis can be an effective tool for companies to measure and improve user satisfaction. In addition, these results can also be a useful reference for new users in assessing apps before using them.
Analysis Of The Effectiveness Of Using Learning Media During The Covid-19 Period With The Multi-Attribute Utility Theory Irfan Faruqi, Nouval; Maita, Idria; Ahsyar, Tengku Khairil; Fronita, Mona
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 7 No. 2 (2024): Vol. 7 No. 2 (2024): Issues January 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v7i2.10824

Abstract

Learning activities during the Covid-19 pandemic were carried out online with the aim of taking advantage of technological advances using online learning media. All high schools have implemented online learning, one of which is SMAN 1 Bukit Batu. This aims to ensure that the learning process is carried out remotely without having to meet in person. Online learning has advantages and disadvantages that can affect the achievement of learning objectives, especially in theoretical and practical PKOK subjects. So it is necessary to assess learning theory and practice of PJOK to determine the effectiveness of both. Research the use of 6 criteria and compare theoretical and practical PJOK learning models to determine the best model. The method used is Multi-Attribute Utility Theory (MAUT) with a quantitative approach where data collection is carried out through surveys. There were 193 respondents, namely all 12th grade students of SMAN 1 Bukit Batu as the population in this study. The results of calculations using the MAUT method on the effectiveness of using online learning media during the Covid-19 pandemic resulted in the choice of the Theory subject assessment (0) as the lowest assessment, while the Practice subject (0.32) was the highest assessment. This assessment states that online learning can be said to be effective for practical subjects, while theoretical subjects are more effective if done offline
Sales Management System with Rapid Application Development and PIECES Approach Al-Qadr, Nola Ardelia; Novita, Rice; Ahsyar, Tengku Khairil; Zarnelly, Zarnelly
JUSIFO : Jurnal Sistem Informasi Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i1.22222

Abstract

In this era of rapid technological advancement, the computer business plays a crucial role in providing goods and services to meet societal needs. However, Andalas Computer, despite offering a diverse range of products and services, faces challenges in its sales process and stock management, which still rely on manual methods. This study aims to develop a sales management system to facilitate the company's sales. By employing the Rapid Application Development (RAD) method, system requirements analysis can be addressed with feedback from users. This research utilizes PIECES analysis to identify opportunities from various aspects. The study results in a sales management system tailored to user needs. System testing was conducted using blackbox testing, followed by user acceptance testing to gauge user reception of the system. The results of the testing showed a positive acceptance rate of 90%.
Analisis Kepuasan Pengguna Aplikasi DANA Menggunakan Metode TAM dan EUCS Fitratul Aini; Fitriani Muttakin; Tengku Khairil Ahsyar; Eki Saputra
Jurnal Sistem Cerdas Vol. 6 No. 1 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i1.288

Abstract

The DANA application is a payment system service that can be used via a smartphone, which can be in the form of fund transfers, electronic wallets, electronic money and other supporting services. User satisfaction with the application is very important, because it can be used as an assessment material for improving the service quality of the application. By combining two methods, namely the Technology Acceptance Model (TAM) which contains the variables Perceived Usefulness, Perceived Ease of Use and Attitude Toward Using and End User Computing Satisfaction (EUCS) which contains the variables Content, Accuracy, Format, Ease of Use and Timeliness to measure application user satisfaction DANA is the aim of this research. The technique that will be used to collect data is by distributing questionnaires to DANA application users. Through lameshow calculations, there were 100 respondents in this study. Based on the results of the analysis carried out, there are 6 hypotheses that are accepted, namely Perceived Usefulness, Content, Accuracy, Format, Ease of Use and Attitude Toward Using and 2 hypotheses are rejected, namely Perceived Ease of Use and Timeliness. The results obtained through SEM analysis are classified as good with an R-Square correlation value of 75.2% for user satisfaction variables.
Co-Authors Abd Rahman Abu Bakar Adillah, Suci Nur Afani, Dinda Afdal Muhammad Efendi Afifah, Tiara Afrah Afilla, Dini Akhiril Anwar Harahap Al-Qadr, Nola Ardelia Alriwanda, A Ananda, Dhea Andri Hairiyadi Andy Muhammad Yusuf Riva Andy Randi Anggi Widya Atma Nugraha Angraini Angraini Angraini Annisa Salsabila Anofrizen Anofrizen Ardiansyah Ardiansyah Arif Marsal Arif Marsal Arif Marsal Arifin, Hanifan Ariyansir, Sigit Asri Jakawendra Atha Kurniawan Aulia, Rian Ayulya, Agisti Mutiara Citra Annisa Dermawan, Tri Dinda Afani Efilda Eki Saputra Eki Saputra Eki Saputra Eki Saputra Eki Saputra Eki Saputra Eki, Eki Saputra Fachrurozi Febi Nur Salisah Febriansyah, Yudhi Fitratul Aini Fitriani Mutakkin Fitriani Muttakin Fitriani Muttakin Hamzah, Muhammad Lutfi Hamzah, Muhammad Luthfi Harmaniola, Elsa Hasdi Radiles Ichsan Ahmad Gunawan Idria Maita Ilhammi, Windy Tri Indriani, Monalisa Inggih Permana Iqrom, Muhammad Irfan Faruqi, Nouval irvan, muhamad irvandra Ivan Alfikri jazman, muhamad Jazman Jazman, Muhammad Kusuma, Muhammad Wira Ade M Afdal M Afdal M. Afdal M. Afdal M. Afdal Maisarah Assa'diyah Maulana, Rizki Azli MaySarah, M Medyantiwi Rahmawita Medyantiwi Rahmawita Munzir Megawati Megawati Megawati - Megawati Megawati Megawati Megawati Megawati Megawati Megawati S.Kom., MT Megawati, M Mona Fronita Mona Fronita, Mona Mufti Mufti Muhammad Jazman Muhammad Lutfhi Hamzah Muhammad Lutfhi Hamzah Muhammad Luthfi Hamzah Muhammad Luthfi Hamzah Muhammad Naufal, Muhammad Muttakin, Fitriani Nabila Putri Nasution, Annio Indah Lestari Nazhifatunnisa, Nazhifatunnisa Nesdi Evrilyan Rozanda Ningsih, Widiah Nola Ardelia Al-Qadr Nora Ferwati Novianti, Elzy Novita Sari Nur Arifin Nurhadi, Muhammad nurhaliza azzini Nurmaini Dalimunthe, S.kom., M.Kes Nurrahma, Intan Oktoriani, Della Permata, Nur Fitria Mita Praniffa, Anisya Caty Pratama, Pangeran Fadillah Rahayu, Dwi Sri Rahmad Fauzi Rahmad Kurniawan Rahmah Khairani Rahmawita, Medyantiwi Raihan Alfarisy Raihan, Muhammad Rama, M Bryant Rama Ajalal Renaldi, Rengga Revansa, Muhammad Dio Rice Novita Rice Novita Rice Novita Rice Novita Riska Ayuni Rizki Aulia Putra romia romia romia Roni Ameldi Sabilla Yeni Sabrina Aisyah Sakdiah, Gewik Siregar, Syafril Siti Monalisa Siti Monalisa Subakja, Triyawan Bagus Sulthan Habib Syaifullah Syaifullah Syaifullah SE., M.Sc Syaifullah Syaifullah Syaifullah Syaifullah Syaifullah Syaifullah Syaifullah Syaifullah Syaifullah Syaifullah Syaifullah Syaifullah Tio Doli Raharjo Trisya, Cintia Putri Ulfa Fadilla Umi Riyani Winanda, Salsa Wuri Ratu Amnan Zarnelly Zarnelly Zarnelly Zarnelly Zarnelly Zarnelly Zarnelly Zarnelly