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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TELKOMNIKA (Telecommunication Computing Electronics and Control) SITEKIN: Jurnal Sains, Teknologi dan Industri JUSIFO : Jurnal Sistem Informasi Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Sistemasi: Jurnal Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Seminar Nasional Teknologi Informasi Komunikasi dan Industri INOVTEK Polbeng - Seri Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Inotera JURIKOM (Jurnal Riset Komputer) Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal Sistem informasi dan informatika (SIMIKA) Zonasi: Jurnal Sistem Informasi Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia 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 INOVTEK Polbeng - Seri Informatika
Febi Nur Salisah
Program Studi Sistem Informasi, Fakultas Sains Dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau
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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

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IT GOVERNANCE AUDIT AT THE KAMPAR REGENCY LIBRARY AND ARCHIVES DEPARTMENT USING COBIT 2019 AND ITIL 4 Bayu Putra; Muhammad Jazman; Megawati Megawati; Febi Nur Salisah
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.6.406

Abstract

Information Technology (IT) is a tool that plays an important role in helping improve the effectiveness and efficiency of a company's or organization's business processes. The Kampar Regency Library and Archives Service uses the Integrated Library System (INLIS) Lite to support operational, management, and decision-making functions in the library. However, the use of INLIS Lite has not been fully utilized properly, for this reason it is necessary to carry out an IT governance audit. The audit process aims to determine the extent of IT performance, human resources, and the level of IT maturity in the library. This study uses Control Objective for Information and Related Technology (COBIT) 2019 and Information Technology Infrastructure Library (ITIL) 4 to conduct audits. With the findings of the audit results obtained eight process domains, namely APO02 and APO012 domains are at level 1 (Performed) in the Largely Achieved category, APO09 and BAI08 domains are at level 2 (Managed) in the Largely Achieved category, domains APO013, BAI05 and MEA01 are in the Largely Achieved, and the APO07 domain is at level 4 (Predictable) and in the Fully Achieved category. In addition to the audit, an assessment of the capability level was also carried out using the Servqual Model and Importance Performance Analysis with the results of obtaining 2 criteria in quadrant A, 1 criterion in quadrant B, 2 criteria in quadrant C and 3 criteria in quadrant D. This study also provides recommendations for improvement using SWOT model approach refers to ITIL 4.
Perancangan Enterprise Architecture Menggunakan Togaf Adm pada SMP Nurul Falah Pekanbaru Muhammad Iqbal Indrawan; Febi Nur Salisah; Idria Maita; Fitriani Muttakin; Eki Saputra
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 1 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i1.3534

Abstract

SMP Nurul Falah is one of the private junior high schools under the auspices of the Nurul Falah foundation. This school was founded in 1974. However, for now, SMP Nurul Falah has not been able to utilize IT/IS optimally. The input and processing of data at SMP Nurul Falah is still manual, which is still using Microsoft Office as processing and inputting data and there is no integrated information system between one field and another which causes data input to take a long time and in the use and exchange of data it is still not possible to do. Therefore we need an information system architecture design modeling, the modeling is Togaf Adm which consists of preliminary stages, architecture vision, architecture bussines, information system architecture, architecture technology, opportunities & solutions, migration planning, implementation governance, and architecture change management. The result of this research is togaf adm design which focuses on the preliminary phase and vision architecture that can be used to design and develop information systems.
Analisis Kualitas Layanan E-Commerce Shopee Menggunakan Metode E-Servqual dan Kano Siti Zainah; Muhammad Luthfi Hamzah; Nesdi Evrilyan Rozanda; Febi Nur Salisah
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 2 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i2.4544

Abstract

Shopee is one of the most frequently visited online buying and selling sites and has a high number of downloads on the play store. However, in the last two years, Shopee has experienced a decrease in the average number of monthly visitors. The purpose of this research is to understand the quality of service provided by Shopee on its website or application. The E-Servqual method is used to measure the gap between attributes and customer service expectations and the Kano model is used to classify attributes and determine the extent to which service attributes meet customer satisfaction. The results of calculations using the E-Servqual method show that the quality of services provided has not met customer expectations, because all attributes have negative gap values. And the results of calculations using the Kano model identify 11 attributes that must be prioritized, due to a linear relationship between attribute performance and customer satisfaction, 11 attributes that need to be maintained, because an increase in attribute performance will result in a very high level of satisfaction and five attributes that need to be improved in order to maximize satisfaction towards customers. Keywords— Service Quality, Customer Satisfaction, Shopee E-Commerce, E-Servqual, Canoe
ANALYSIS OF E-OFFICE SYSTEM USER SATISFACTION AT LAND OFFICE PEKANBARU CITY USING END USER COMPUTING SATISFACTION METHOD Fachrurozi; Febi Nur Salisah; Tengku Khairil Ahsyar
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 3 (2023): JUTIF Volume 4, Number 3, June 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.3.723

Abstract

An E-Office system is available at the National Land Agency, which is part of the Ministry of Agrarian Affairs and Spatial Planning and the National Land Agency. It is designed to make office administration easier. However, the use of E-Office is still not optimally used, such as the minutes feature that is underused, errors in sending letters that are sent not as desired, the dashboard display is less attractive and the guide menu cannot be accessed because of a link error. The purpose of this study is to evaluate user satisfaction with the E-Office system and identify its results. The End User Computing Satisfaction (EUCS) method with six variables (content, accuracy, format, ease of use, timeliness, user satisfaction) was used by researchers to assess user satisfaction with the E-Office system. 37 individuals from the E-Office system user population comprised the sample. The results of the proposed hypothesis test show that the hypothesis is accepted and has a significant effect of 78.9% on user satisfaction.
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.
Evaluasi Tingkat Keberhasilan E-Learning Smart Campus Menggunakan Metode HOT FIT Muhammad Munawir Arpan; Febi Nur Salisah; Idria Maita; Fitriani Muttakin
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2795

Abstract

E-learning Smart Campus is a website that is used as an electronic learning system. Smart Campus e-learning began to be implemented at STIFAR Riau in 2018. In this study there were several problems during its use not all lecturers used it, frequent errors occurred, lack of training for system users, difficulty uploading assignments to the system. The purpose of this research is to determine the success rate of implementing Smart Campus e-learning and to provide suggestions for improvements to become a better system for the future. The method used to measure the success rate of Smart Campus e-learning is the HOT Fit method. Respondents in this study were students and lecturers of STIFAR Riau with a total sample of 313 respondents. For data processing using the SEM-PLS technique with SmartPLS software. The results of testing the successful implementation of STIFAR Riau E-learning from the 12 hypotheses used obtained the highest value, namely the variable User Satisfaction on Net Benefit with a T-Stasistic value of 7,494. This means that the better the User Satisfaction, the higher the System User in using the Smart Campus Riau E-learning System.
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.
Pendekatan Machine Learning: Analisis Sentimen Masyarakat Terhadap Kendaraan Listrik Pada Sosial Media X Kusuma, Gathot Hanyokro; Permana, Inggih; Salisah, Febi Nur; Afdal, M.; Jazman, Muhammad; Marsal, Arif
JUSIFO : Jurnal Sistem Informasi Vol 9 No 2 (2023): JUSIFO (Jurnal Sistem Informasi) | December 2023
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.v9i2.21354

Abstract

Environmental issues and the depletion of fossil fuels continue to escalate as the number of fossil fuel-based vehicle users increases in Indonesia. Electric vehicles emerge as one of the potential alternative solutions to address current environmental challenges, given their eco-friendly nature and lack of pollution emissions. Sentiment analysis is conducted to understand public responses, both supportive and opposing, towards electric vehicles. This research aims to analyze the sentiment of X-social media users regarding electric vehicles using machine learning techniques. The research stages include data collection, data selection, preprocessing, and classification using Naïve Bayes Classifier (NBC), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) algorithms. The test results show that on a balanced dataset using ROS, SVM performs the best with accuracy = 68.7%, precision = 77.9%, and recall = 68.4%. Meanwhile, NBC yields an accuracy of 60.3%, precision of 61.3%, and recall of 60.3%, while KNN has an accuracy of 53.9%, precision of 54%, and recall of 53.9%.
Perbandingan Algoritma KNN, NBC, dan SVM: Analisis Sentimen Masyarakat Terhadap Perparkiran di Kota Pekanbaru Intan, Sofia Fulvi; Permana, Inggih; Salisah, Febi Nur; Afdal, M.; Muttakin, Fitriani
JUSIFO : Jurnal Sistem Informasi Vol 9 No 2 (2023): JUSIFO (Jurnal Sistem Informasi) | December 2023
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.v9i2.21357

Abstract

The public response in Pekanbaru to parking policies and regulations has given rise to various sentiments, both positive and negative. This discussion extends not only within the local community but also across various social media platforms. This research aims to analyze public sentiment towards the new parking policies and regulations in the Pekanbaru area. The study involves the KNN, NBC, and SVM algorithms to classify public sentiment into positive, neutral, and negative categories. Balancing techniques used in this research include Random Over Sampling (ROS) and Random Under Sampling (RUS). The data utilized in this study were obtained from posts on the social media platform X. The testing of the dataset using ROS resulted in high accuracy, precision, and recall values. The findings of this research indicate that overall, the SVM algorithm outperforms KNN and NBC in terms of accuracy, precision, and recall. Additionally, the most dominant sentiment is negative, with 422 tweets expressing dissatisfaction with the current parking policies.
Reduksi Jumlah Aturan Penentuan Kata Tunjuk dalam Bahasa Arab Menggunakan Algoritma ID3 Permana, Inggih; Febi Nur Salisah, Febi Nur Salisah
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 1 No. 2 (2021): Indonesian Journal of Informatic Research and Software Engineering
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (839.751 KB) | DOI: 10.57152/ijirse.v1i2.144

Abstract

Bahasa Arab memiliki tidak kurang dari sepuluh bentuk kata tunjuk yang bisa digunakan. Untuk menentukan kata tunjuk tersebut harus memperhatikan empat variabel pada objek yang ditunjuk. Dari keempat variabel tersebut menghasilkan 24 kondisi (aturan) yang mungkin muncul untuk menentukan kata tunjuk. Banyaknya aturan yang mungkin muncul tersebut menjadi salah satu sebab pelajar Bahasa Arab melakukan kesalahan menggunakan kata tunjuk. Berdasarkan permasalahan tersebut, maka penelitian ini telah mereduksi aturan tersebut dengan menggunakan Algoritma ID3. Pohon keputusan hasil Algoritma ID3 berhasil mereduksi aturan sebanyak 50%. Selain itu, berdasarkan pohon keputusan tersebut dapat disimpulkan bahwa untuk menentukan kata tunjuk cukup memperhatikan tiga variabel saja.
Co-Authors A Anggraini Afdal Muhammad Efendi Ahsyar, Tengku Khairil Anggi Widya Atma Nugraha Anggia Anfina Anisa Nirmala, Fitri Anwar, Tengku Khairil Arabiatul Adawiyah Arif Marsal Arif Marsal Arif Marsal Arrazak, Fadlan Bayu Putra Danil Risaldi Darmawan, Reza Dewi Astuti Efendi, Harisman Eki Saputra Eki Saputra Eki Saputra Elin Haerani Endah Purnamasari Esis Srikanti Fachrurozi Fadhilah Syafria Fadil Rahmat Andini Febrian, Dany Fernanda, Ustara Dwi Fiki Fitri Wulandari Fitriah, Ma’idatul Fitriah, Ma’idatul Fitriani Muttakin Fitriani Muttakin Giansyah, Qhoiril Aldi Gustinov, Mhd Dion Hasbi Sidiq Arfajsyah Hendri, Desvita Husaini, Fahri Idria Maita Idria Maita Idria Maita Idriani R, Nova Imam Muttaqin Indah Lestari, Indah Indri Dian Pertiwi Inggih Permana Intan, Sofia Fulvi Jayadi, Puguh Jazman , Muhammad Jazman, Muhammad Kusuma, Gathot Hanyokro Leony Lidya M Afdal M. Afdal M. Afdal M. Afdal M.Afdal Maulana, Rizki Azli Mawaddah, Zuriatul Mega wati, Mega Megawati Megawati - Megawati Megawati Mona Fronita, Mona Mubarak MR, Najmuddin Muhammad Afdal Muhammad Iqbal Indrawan Muhammad Jazman Muhammad Luthfi Muhammad Luthfi Hamzah Muhammad Munawir Arpan Munzir, Medyantiwi Rahmawita Mustakim Mustakim Muttakin, Fitriani Nabila Putri Nailul Amani Nardialis Nardialis Nasution, Nur Shabrina Naufal Fikri, R. Adlian Nesdi Evrilyan Rozanda Nesdi Evrilyan Rozanda Norhavina Norhavina Nuraisyah Nuraisyah Nurkholis Nurkholis Nurrahma, Intan Puput Iswandi Putri, Amanda Iksanul Rahmawita M, Medyantiwi Rahmawita, Medyantiwi Rangga Arief Putra Ria Agustina Rice Novita Rizka Fitri Yansi Rizki Pratama Putra Agri Rozanda, Nesdi Evrilyan Sanusi Saputri, Setia Ningsih Sari, Gusmelia Puspita Sarjon Defit Setiawati, Elsa Shir Li Wang Shulhan Abdul Gofar Siti Zainah Sulthan Habib Suryani Suryani Susilawati, Susilawati Syahri, Alfi Syaifullah Syaifullah Syaifullah Syaifullah Syaifullah Syaifullah Syarif, Yulia Tengku Khairil Ahsyar Tengku Khairil Ahsyar Tengku Khairil Ahsyar Tengku Khairil Ahsyar Tshamaroh, Muthia Uci Indah Sari Winda Wahyuti Wira Mulia, M. Roid Zarnelly Zarry, Cindy Kirana