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All Journal Jurnal Pengabdian UntukMu NegeRI Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Innovation in Research of Informatics (INNOVATICS) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Journal of Software Engineering and Information System (SEIS)
Mualfah, Desti
Unknown Affiliation
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Social Sciences

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Perancangan ulang dan analisis desain UI/UX aplikasi identitas kependudukan digital (IKD) menggunakan metode design thinking Mualfah, Desti; Mardiah, Adilla
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to increase user satisfaction of the Digital Population Identity (IKD) application by redesigning the user interface (UI/UX). The design features of the IKD application lack intuitiveness and have limited features, thus hindering people's interest in using the application. For this reason, a solution is needed to redesign the user interface (UI/UX) using the Design Thinking method and apply five design stages in the form of Design Thinking (Empathize, Define, Ideate, Prototype, and Testing), then this research produces a prototype of the IKD application. easier to use with test results using the System Usability Scale (SUS) showing that the prototype produced a score of 78, which is in the "GOOD" category, and shows that the redesigned IKD application meets user expectations in terms of ease of use and better experience
Analisis dan Perancangan Ulang User Interface dan User Experience Sistem Informasi Kuliah Online Universitas Muhammadiyah Riau Menggunakan Metode Design Thinking Mualfah, Desti; Kamal Saputra, Taufiq; Firdaus, Rahmad
JURNAL FASILKOM Vol. 14 No. 3 (2024): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v14i3.8240

Abstract

Sistem Informasi Kuliah Online (Sikuli) is an online learning platform developed by the Universitas Muhammadiyah Riau (UMRI) to support teaching and learning activities during the Covid-19 pandemic. The application has functionality in implementing online learning because it has benefits for lecturers and students. However, Sikuli has shortcomings in appearance and functionality that need to be further developed. To facilitate the development of the Online Lecture Information System, a User Interface and User Experience implementation technique is needed using the Design Thinking approach to redesign the Sikuli interface and user experience. User needs were identified through a questionnaire using the System Usability Scale (SUS) method for 114 UMRI students. As a result, 36.8% of respondents considered the layout of Sikuli's features and content very inadequate, while 20.2% considered it inadequate. After the redesign, the application was retested with SUS and obtained a score of 79.58, which is included in the "Excellent" category. This shows that the redesign has succeeded in increasing user satisfaction and experience.
KLASIFIKASI BUAH JERUK LEMON BERDASARKAN TINGKAT KEMATANGAN MENGGUNAKAN METODE SVM DAN NAIVE BAYES Mualfah, Desti; Rivaldi, Hardi; Januar Al Amin; Sunanto
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 5 No. 2 (2025)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v5i2.9952

Abstract

This study aims to develop a classification model for determining the ripeness level of lemons (Citrus limon) using digital image analysis. Two methods, namely Support Vector Machine (SVM) and Naïve Bayes Classifier (NBC), were compared to evaluate their performance in terms of accuracy and prediction consistency. The results show that SVM outperformed NBC with an accuracy of 97%, along with precision, recall, and F1-Score of 97% each. The model consistently determined lemon ripeness levels in percentage terms, such as 85% or 95%. In contrast, NBC achieved an accuracy of 82%, with precision, recall, and F1-Score of 83%, 82%, and 83%, respectively. However, NBC was more prone to classification errors, especially in distinguishing between ripe and unripe lemons. In conclusion, the SVM method proved superior to NBC in determining lemon ripeness levels, particularly in handling complex data. SVM's ability to provide accurate and consistent predictions makes it a more effective choice for helping farmers optimize the quality and quantity of lemon production. This study contributes significantly to the application of image processing technology in the agricultural sector.
Sosialisasi Kebersihan Lingkungan Serta Cara Olah Sampah Bernilai Ekonomis Mualfah, Desti; Rahmadeli, Safitri; Mahesa, Pandu; Majid, Sidratul Salsabila
Jurnal Pengabdian UntukMu NegeRI Vol. 7 No. 2 (2023): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v7i2.5757

Abstract

In general, many of our people do not care about the environment. This is caused by various factors, namely the lackof public concern for environmental cleanliness which has a negative impact on the environment, resulting in flooding, and the absence of rubbish bins facilitated by the local village which makes local people more likely to throw rubbishcarelessly.The Community Service Program is a form of student activity in carrying out community service programs in the Limbungan Baru sub-district, where students take part in activities such as mutual cooperation, creating skills with localresidents. Through Community Service activities, students carry out work programs. One of the things that must be doneis to socialize the importance of environmental cleanliness and instill a culture of mutual cooperation in the community, as well as helping the community in managing waste so that it can be useful. economic value. From the survey we conducted at the Limbungan Baru sub-district location, it can be seen that the surrounding environmental conditions still have many shortcomings and that improvements still need to be made at several points.
Revolusi Digital Dalam Meningkatkan Sosial Branding Dan Pemasaran Kerajinan Rotan Untuk Kesejahteraan Umkm Di Kelurahan Meranti Pandak Mualfah, Desti; Malindo, Qori; Gunawan, Sulka; Zacki, Moh Soulthan; Novia5, Sherlin Okta
Jurnal Pengabdian UntukMu NegeRI Vol. 7 No. 2 (2023): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v7i2.5763

Abstract

In the era of globalization and technological development, new opportunities and challenges arise for Micro, Small and Medium Enterprises (MSMEs) to develop their business. This journal discusses how the digital revolution can be adopted by Meranti Pandak MSMEs in an effort to improve social branding and marketing of their rattan handicraft products to achieve sustainable prosperity. With qualitative research methods, we explore the implementation of MSME digital strategies in interacting with the market and consumers. This case study reveals how the use of social media and e-commerce platforms enables Meranti Pandak MSMEs to build a strong brand image, reach potential consumers on a larger scale, and participate in the global market. Our findings show that the combination of creativity in social branding through attractive visual content and effectiveness in digital marketing can have a positive impact on income and improve the welfare of MSMEs and surrounding communities. Nevertheless, challenges related to digital literacy and technology management remain relevant, requiring collaborative efforts between relevant parties. This research provides insight into the potential of digital revolution strategies for MSMEs and provides input for further development in supporting local economic growth.
Analisis Sentimen Masyarakat Terhadap Kasus Pembobolan Data Nasabah Bank BSI Pada Twitter Menggunakan Metode Random Forest Dan Naïve Bayes Mualfah, Desti; Prihatin, Ananda; Firdaus, Rahmad; Sunanto
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.6478

Abstract

Indonesia has recently been enlivened by the data breach case that hit Bank Syariah Indonesia (BSI) in May 2023, this has invited many responses from the public with various kinds of responses, especially on Twitter social media. Some people support BSI bank so they can restore the system they have but many criticize and blaspheme bank BSI for not being able to quickly fix its system which hackers compromised. The purpose of this study is to conduct a sentiment analysis to find out the response of the Indonesian people regarding cases of data breaches by bank BSI customers whether positive, negative or neutral. The methods used in this study are the naive Bayes method and the random forest method. Both of these methods have been widely used in the text data classification process and produce high accuracy. The dataset used is community responses from Twitter social media taken by crawling the data totaling 809 tweets. The results of this study are the accuracy of the Naive Bayes method of 74% and the random forest method of 70%.
Analisis Perbandingan Tools Forensic Pada Aplikasi Facebook Messenger Menggunakan Metode National Institute of Standards Technology (NIST) Mualfah, Desti; Israndi, Febri; Ramadhan, Rizdqi Akbar
JURNAL FASILKOM Vol. 15 No. 3 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i3.10862

Abstract

The rapid growth of internet and social media usage has led to an increase in cybercrime. This study aims to analyze digital forensic processes using the National Institute of Standards and Technology (NIST) method on Facebook to combat cybercrime. Two forensic tools, Magnet Axiom and MOBILedit, were utilized to collect and analyze digital evidence. The research employed a case study and analysis using the NIST method. Results show that MOBILedit excels in data collection, particularly in retrieving images, whereas Magnet Axiom boasts superior data analysis and integration capabilities. Consequently, MOBILedit is recommended for Android digital forensic applications.
Klasifikasi serangan DDoS dengan metode random forest dan teknik class weight pada dataset CICDDoS2019 Mualfah, Desti; Ardiansyah, Rudi; Gunawan, Rahmad
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.10731

Abstract

The rapid advancement of information technology has significantly influenced various aspects of life, including an increasing reliance on network-based services. However, this dependence has also led to the emergence of more complex cybersecurity threats, one of the most prominent being Distributed Denial of Service (DDoS) attacks. These attacks can disrupt service availability by overwhelming target systems with excessive traffic. A major challenge in detecting DDoS attacks lies in the wide variety of attack patterns and the class imbalance that commonly occurs in network traffic datasets. To address these issues, a machine learning–based approach capable of handling complex attack behaviors while compensating for imbalanced data distribution is required. One potential solution is the use of the Random Forest algorithm with class-weight techniques, applied to the CICDDoS2019 dataset. The research procedure includes data collection and exploration, preprocessing steps such as handling missing and infinite values, encoding categorical attributes, and feature normalization. The dataset is then divided into training and testing subsets before being processed by the Random Forest model. Model evaluation is conducted using a confusion matrix along with accuracy, precision, recall, and F1-score metrics. Experimental results show that incorporating class weight significantly improves model performance, achieving an accuracy of 99.98%, precision of 99.98%, recall of 99.97%, and an F1-score of 99.97%. These findings demonstrate that the proposed approach is highly effective for accurately detecting and classifying DDoS attacks.
Co-Authors Admojo, Fadhila Tangguh Aminuyati Amran, Hasanatul Fu’adah Baidarus Evans Fuad Fadila, Wahyu Gea, Meiriladiwis Gunawan, Rahmad Gunawan, Sulka Israndi, Febri Januar Al Amin Kamal Saputra, Taufiq Mahesa, Pandu Majid, Sidratul Salsabila Malindo, Qori Mardiah, Adilla Muhammad Innuddin Muhammad Iqbal Syam Novia5, Sherlin Okta Prihatin, Ananda Putra, Gope Mandala Rahmad Firdaus Rahmad Firdaus Rahmadeli, Safitri Rajif, Iqbal Ramadhan, Rizdqi Akbar Rivaldi, Hardi Rizki, Yoze Ronaldo, Aditya Rudi Ardiansyah Sandi, Ganesa Heru Slamet Risnanto Sunanto Viransa, Afdel Windiawati, Ai Wulan Zacki, Moh Soulthan