Article Per Year (5 Year)
p-Index From 2021 - 2026
6.699
P-Index
This Author published in this journals
All Journal Jupiter JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Informatika Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi ICON-CSE Annual Research Seminar Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal SOLMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) INTECOMS: Journal of Information Technology and Computer Science Jurnal ULTIMA InfoSys Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Riset Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) CCIT (Creative Communication and Innovative Technology) Journal Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Journal of Information Systems and Informatics JUKANTI (Jurnal Pendidikan Teknologi Informasi) Jurnal Tekinkom (Teknik Informasi dan Komputer) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Journal of Applied Science, Engineering, Technology, and Education Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Generic Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Aptekmas : Jurnal Pengabdian Kepada Masyarakat Journal Of Artificial Intelligence And Software Engineering The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Dwi Rosa Indah
Universitas Sriwijaya
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 62 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 62 Documents
Search

 3   4   5   6   7 
The Impact of Implementing Usability Principles in UI/UX on Consumer Purchase Intention on the Shopee Platform Nugroho, Doni Tri; Indah, Dwi Rosa; Novianti, Hardini; Sanjaya, M. Rudi; Syahbani, M. Husni
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (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.v14i2.5030

Abstract

The advancement of technology and the internet has transformed consumer behavior, particularly in online shopping through e-commerce. Shopee, as a leading e-commerce platform in Indonesia, accounted for 51% of total e-commerce visits from February to April 2024, thanks to its integration of usability principles in its User Interface (UI) and User Experience (UX). In a highly competitive e-commerce landscape, usability is a key factor influencing purchasing decisions, as an optimal user experience can enhance trust and reduce shopping cart abandonment. This study evaluates the impact of usability, based on Nielsen’s Attributes of Usability (NAU), on consumer purchase intention on Shopee. A quantitative survey method was employed, involving 100 active Shopee users in Palembang. Data was collected through an online questionnaire and analyzed using multiple linear regression. The results indicate that efficiency, memorability, and satisfaction significantly influence purchase intention, with efficiency having a negative impact, while memorability and satisfaction have positive effects. Meanwhile, learnability and errors were found to have no significant effect. From a practical perspective, Shopee and other e-commerce platforms should optimize memorability and satisfaction in UI/UX design—such as through personalized interfaces and enhanced accessibility—to improve user experience, drive purchase intention, and strengthen customer loyalty in an increasingly competitive market.
Analysis of Service Quality Factors in the Grab Application on User Satisfaction using the Service Quality (SERVQUAL) Method Yanto, Dimas Hadi; Indah, Dwi Rosa; Novianti, Hardini; Sanjaya, M. Rudi; Gumay, Naretha Kawadha Pasemah
Sistemasi: Jurnal Sistem Informasi Vol 14, No 2 (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.v14i2.5043

Abstract

The development of information technology in the digital era has had a significant impact, including on online transportation services such as Grab. However, Grab users frequently complain about slow response times from customer support when handling complaints, as well as recurring issues with the balance feature, as reflected in complaints like "saldo" (balance) and "please fix this". This study aims to identify the factors influencing the service quality of the Grab application on user satisfaction in Palembang using the Service Quality (SERVQUAL) approach. A quantitative research method was employed, involving 106 respondents who are Grab users. Data were collected through questionnaires and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with SmartPLS 4 to measure the impact of five SERVQUAL dimensions: responsiveness, reliability, tangibles, empathy, and assurance. The findings indicate that these five dimensions collectively have a highly significant effect on service quality (F = 41.92). Individually, the tangibles dimension has the most dominant impact (t = 4.473, p < 0.05), followed by empathy, which also shows a significant influence (t = 2.248, p < 0.05). However, reliability, responsiveness, and assurance do not exhibit significant effects. These results highlight the need for service quality improvements, particularly in the dimensions that were found to be less significant, to enhance the Grab application’s user experience in Palembang.
PENERAPAN METODE USABILITY UNTUK MENENTUKAN TINGKAT KEPUASAN PADA SISTEM MOBILE M-BANKING BRIMO Haristina Putri, Maulida; Sanjaya, M. Rudi; Kurniawan, Dedy; Indah, Dwi Rosa
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4578

Abstract

This study aims to analyze the level of user satisfaction with the BRImo Mobile Banking application using the usability method.Research fokus includes usability aspects:learnability, efficiency, memorability, errors, and satisfaction. Data obtained through questionnaires distributed to 252 respondents in Palembang City.The results showed learnability had communalities of 0.599-0.703 and correlations of 0.432-0.514, while efficiency achieved communalities of 0.585-0.649 with correlations of 0.415-0.550.In contrast,errors had a significant negative impact,with a correlation of -0.352 to -0.488, indicating the more errors,the lower user satisfaction.Memorability shows communalities values between 0.511 to 0.663. BRImo application features, such as efficiency in transaction access speed (efficiency_2 and efficiency_3) which have a correlation of 0.498-0.550,as well as overall ease of access (learnability_5) with a correlation of 0.467,have a positive influence on user satisfaction. Technical issues such as bugs,crashes, and slow applications negatively impact user satisfaction,with errors_5 having low communalities of 0.445 and a significant negative correlation of -0.382,indicating technical errors strongly influence user
Perancangan User Interface dan User Experience Sistem Informasi E-learning Menggunakan Design Thinking Devi Karlina; Dwi Rosa Indah
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 3 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i3.5412

Abstract

The COVID-19 pandemic has caused various activities to be shifted online, one of which is learning activities at school. Because they don't have their own e-learning information system, online learning activities at SMA Tunas Bangsa Palembang utilize various media such as Classrooms to create classes, Google Forms to fill absences, and YouTube to deliver material. Lots of media and there are still perceived shortcomings related to the features of the media used cause the implementation of learning activities become less effective and efficient. Thus, to provide comfort and convenience in these learning activities, an e-learning information system user interface and user experience (UI/UX) design is required. This study uses design thinking as a method that has 5 stages, starting with problem exploration (empathize) to testing the solution design prototype (test). Prototype testing is carried out using the usability testing method, using task scenarios and the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) questionnaires. The results of usability testing using SUS task scenarios and questionnaires include aspects of learnability and efficiency of teacher and student user groups, namely 100% and 0.04 goals/sec, for teacher user satisfaction aspects is 93 with grade scale "A" and for student users is 85 with a grade scale of “B”, the UEQ assessment scores for the two user groups were above 2.0 in all rating categories namely “Attractives”, “Perspicuity”, “Efficiency”, “Dependability”, “Stimulation”, “Novelty”. So, it can be concluded that the e-learning prototype design has had a good user experience.
Assessing Academic Information System Performance Through Sentiment Analysis Thuraya, Zafira; Ibrahim, Ali; Utama, Yadi; Indah, Dwi Rosa
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (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.v14i3.5130

Abstract

The Academic Information System (SIMAK) at Sriwijaya University plays a crucial role in facilitating student academic activities; however, it faces several technical issues that affect user satisfaction, including server outages and challenges in data access. This dissatisfaction serves as a vital metric for evaluating the system's effectiveness. This study aims to analyze student sentiment regarding SIMAK utilizing the Naïve Bayes method. A total of 92 tweets were gathered from Twitter through web scraping, which were then categorized into manually labeled training and test datasets for model validation. The data underwent processing that included text cleaning and the application of Term Frequency-Inverse Document Frequency (TF-IDF) to assess the significance of words within a collection of documents. The evaluation results indicated that the model achieved an accuracy of 65%, with a precision of 63% for negative sentiment and a recall of 100%. In contrast, positive sentiment exhibited a low precision of 12.5% and an F1-score of 22.2%, highlighting difficulties in identifying positive sentiment due to data imbalance. The model demonstrated greater effectiveness in identifying user grievances, particularly concerning server disruptions, data delays, and challenges in completing Study Plan Cards and accessing grades. These findings provide valuable insights for SIMAK maintainers to enhance system reliability and user experience. Future research should aim to broaden data coverage and explore alternative analytical methods to yield more representative outcomes.
PELATIHAN PEMBUATAN DESAIN WEB DAN MEDIA PEMBELAJARAN INOVATIF Sanjaya, M. Rudi; Indah, Dwi Rosa; Khoiriah, Annisa
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025): Volume 6 No 3 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i3.44990

Abstract

Pengetahuan, pemahaman tentang sebuah tren teknologi masih kurang, sehingga perlunya pemahaman tren teknologi, supaya memudahkan proses dalam pembelajaran dengan pembelajaran yang inovatif, Teknologi adalah hasil dari penerapan ilmu pengetahuan untuk menciptakan alat, sistem, dan proses yang bertujuan mempermudah kehidupan manusia serta meningkatkan efisiensi dalam berbagai aspek. Dengan perkembangan yang pesat, teknologi telah menjadi fondasi utama dalam mendorong inovasi terutama dalam bidang Pendidikan, Adapun tujuan dari kegiatan ini menghasilkan atau dapat membuat desain web dan media pembelajaran yang inovatif,  metode pengabdian kepada Masyarakat dengan menggunakan metode pendampingan, sosialisasi. Adapun hasil kegiatan pengabdian pengabdian kepada masyarakat berupa pembuatan desain web dan pembuatan media pembelajaran inovatif Dimana 28 responden jika n-2 maka hasil 26 adalah 0.3739 dibulat menjadi 0.374 dengan signifikan 5%, hasil pengujian validitasnya adalah  0.561, 0.571, 0.519, 0.793, 0.646, 0.722, 0.422, 0,831, 0.570, 0.771 menunjukkan di atas 0.30 maka di nyatakan valid, sedangkan pada uji realibilitas di atas 0.70 maka dinyatakan reliabel.
Implementation of the Analytic Hierarchy Process Method for Performance-Based Rewards for Lecturers Ruskan, Endang Lestari; Seprina, Iin; Ariani, Ardina; Indah, Dwi Rosa; Athalina, Githa
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7600

Abstract

Rewards are carried out by the faculty as an effort to motivate lecturer performance. The obstacle is that the system has not accommodated all lecturer performance on the required indicators, the supporting files are also a problem, and the final results of many performance scores are the same, potentially due to subjective decision-making. There is no scientific formulation, no common standard, and no direct file collection system as the cause. The research method used is identifying problems and collecting data, analyzing data, designing decision support systems, and making prototypes. The research objective is to apply the analytical hierarchical process method to the application of a decision support system for determining lecturer rewards.  The contribution of research on performance-based criteria instruments applied to dynamic applications in determining indicators, so that they can be adjusted to the performance report indicators of higher education institutions. The results are in the form of lecturer performance criteria weights based on key performance. The highest lecturer performance ranking is 0.0880, the second is 0.067, and the third is 0.0663, with detailed lecturer performance scores for each criterion. These digital files can be used at any time, helping management make objective and transparent decisions.
Comparison of SVM and Naive Bayes Algorithms in Sentiment Analysis of User Reviews on Bukalapak Alghifari, M Yasir; Sanjaya, M. Rudi; Dwi Rosa Indah; Ruskan, Endang Lestari
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/dqhpkb12

Abstract

Indonesia’s rapid e-commerce growth has produced a vast volume of user reviews, yet their use for insight extraction remains limited—particularly for the Bukalapak platform. This study compares the performance of Naïve Bayes and Support Vector Machine for sentiment classification on 10,000 Bukalapak reviews. The workflow includes text preprocessing (cleaning, case folding, tokenization, stopword removal, and stemming) and feature extraction using Term Frequency–Inverse Document Frequency (TF-IDF; max_features = 10,000). Evaluation employs 10-fold cross-validation with accuracy, precision, recall, and F1-score, complemented by a paired t-test for significance. Results show SVM outperforming NB (accuracy 84.48% vs. 83.96%; F1 0.8253 vs. 0.8205) with better consistency (standard deviation ±1.08% vs. ±1.24%). The t-test confirms a significant difference (p = 0.019), with SVM’s advantage most evident for the negative class (precision 0.80 vs. 0.78). Both models underperform on the neutral class due to severe class imbalance. These findings provide empirical evidence for algorithm selection in Indonesian e-commerce sentiment analysis and open avenues for future research using deep learning and class-imbalance handling techniques.
PENERAPAN DATA MINING UNTUK PREDIKSI PENJUALAN OBAT MENGGUNAKAN METODE K-NEAREST NEIGHBOR Rahma, Syabilla Mutia; Oktadini, Nabila Rizky; Indah, Dwi Rosa
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 8 No 2 (2024)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v8i2.4725

Abstract

PT XYZ Palembang merupakan salah satu perusahaan farmasi nasional yang menyuplai pemenuhan obat di Indonesia. Perusahaan ini memproduksi berbagai produk obat-obatan dengan jumlah yang sangat besar. Diketahui bahwa penjualan produk obat-obatan dalam 3 tahun terakhir mengalami penurunan dan peningkatan setiap bulan. Dengan adanya penurunan dan peningkatan penjualan tersebut, perusahaan harus memperkirakan penjualan obat dengan baik untuk memastikan ketersediaan stok obat tidak berlebihan maupun kekurangan. Peneliti mengusulkan implementasi algoritma K-Nearest Neighbor dengan tujuan untuk mengetahui hasil prediksi jumlah penjualan obat-obatan pada PT XYZ Palembang. K-Nearest Neighbor diterapkan melalui perhitungan manual serta dengan menggunakan software RapidMiner. Hasil prediksi yang diperoleh melalui RapidMiner menghasilkan tingkat akurasi baik yaitu mencapai 90%. Dengan hasil prediksi tersebut mengungkapkan bahwa metode K-Nearest Neighbor efektif diterapkan untuk melakukan prediksi penjualan di masa mendatang. Model K-NN dapat menjadi salah satu solusi untuk memprediksi penjualan obat-obatan berdasarkan data penjualan yang telah ada sebelumnya.
ANALISIS NIAT DAN PERILAKU PENGGUNAAN SIMRS RSUD AHMAD RIPIN MENGGUNAKAN UTAUT Syahnel, Ahmad Hidayat; Indah, Dwi Rosa; Ruskan, Endang Lestari; Firdaus, Mgs. Afriyan
TEKNOKOM Vol. 7 No. 1 (2024): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/teknokom.v7i1.203

Abstract

Penelitian ini bertujuan untuk menganalisis factor-faktor yang mempengaruhi Niat Penggunaan dan Perilaku Penggunaan dari pegawai rumah sakit yang menggunakan SIMRS dalam pekerjaan dengan menggunakan Unified Theory of Acceptance and Use of Technology (UTAUT). Penelitian ini dilakukan di RSUD Ahmad Ripin Kabupaten Muaro Jambi, beberapa pegawai masih belum bisa menggunakan SIMRS karena mengalami kesulitan dalam mengoperasikan SIMRS. Artikel ini bertujuan untuk mengetahui bagaimana penerimaan penggunaan SIMRS diantara pegawai rumah sakit. Metode penelitian menggunakan pendekatan kuantitatif dengan teknik probability sampling. Jumlah data sebanyak 143 responden yang dikumpulkan dengan survei menggunakan kuesioner. Pengolahan data dilakukan dengan menggunakan software SmartPLS 3.0 untuk menguji instrumen dan model penelitian kemudian mengevaluasi hipotesis penelitian. Berdasarkan hasil yang diperoleh, uji hipotesis menunjukkan bahwa variabel Ekspektasi Usaha tidak berpengaruh positf terhadap Niat Penggunaan para pegawai, lalu variabel Ekspektasi Kinerja dan Pengaruh Sosial berpengaruh positif terhadap Niat Penggunaan para pegawai, kemudian variabel Kondisi yang Memfasilitasi dan Niat Penggunaan berpengaruh positif terhadap variabel Perilaku Penggunaan para pegawai.
Co-Authors Afif, Hasnan Afriyan Firdaus Ahmad Fali Oklilas Akbari, Rahmat Alif Alghifari, M Yasir Ali Ibrahim Ali Ibrahim Alif, Rahmat Aliyah, Raden Ayu Alfirah Allsela Meiriza, Allsela Alvionita, Vinna Andhika Setiadi Anna Dwi Marjusalinah Apriansyah Putra Ari Wedhasmara Ariani, Ardina Ariansyah Saputra Arrijal Ismail, Ahmad Arwin Permata Putra Astriani, Yulia Athalina, Ghita Athalina, Githa Bayu Wijaya Putra Choirunnisa Qonitah Corriny, Nety Damayanti, Indri Dwi Danendra, Muhammad Archi Daffa Danny Matthew Saputra dedi kurniawan Dedy Kurniawan Devi Indra Meytri Devi Karlina Dhilarofii Russandwi, Saras Endang Lestari Ruskam Endang Lestari Ruskan Endang Lestari Ruskan Ermatita - Errissya Rasywir Faiq, Al Iksan Fatimah Azzahrah Fatinah, Fitriasari Felicia, Yohana Firdaus, Masagus Afriyan Firman Wijaya Fitri Wulandari Gumay, Naretha Kawadha Pasema Gumay, Naretha Kawadha Pasemah Hardini Novianti Haristina Putri, Maulida Harlili Harlili Hasbiallah, Muhammad Jidan Huda Ubaya Huda Ubaya Imran, Athallah Yasyfi Indri Dwi Damayanti Izzatul Maula, Nurly Jaidan Jauhari Jayawarsa, A.A. Ketut Karlina, Devi Ken Dhita Tania Khoiriah, Annisa Liana Andini, Rahmah Lufiah, Fara M HUSNI SYAHBANI, M HUSNI M. Rudi Sanjaya MARIA BINTANG Megah Mulya Merlin, Chalia Meylani Utari Mgs Afriyan Firdaus Mgs Afriyan Firdaus MGS. Afriayan Firdaus Miftahurrohmah Haque Moses Rinaldy Muhammad Fandra Eka Pratama Muhammad Raihan Udda Rahmany Mutia Farahdilla Novitas Sari Nugroho, Doni Tri Nurfadillah, Nadya Oktadini, Nabila Rizky Pacu Putra Perdianza, Muhammad Egi Pratama, Muhammad Fandra Eka Purwita Sari Purwita Sari, Purwita Putra, Julian Putri Eka Sevtiyuni Putri Ratna Sari, Putri Ratna Putri, Indah Arsita Rachmad, M. Ichsan Farel Rafliandi Ardana Rahma Destriani Rahma, Syabilla Mutia Rahman, Fachri Auliya Rahmat Alif Akbari Rahmat Izwan Heroza Rahmayuni, Septa Ramadhini, Reffina Ricy Firnando Riski, M. Rido Rizka Dhini Rizka Dhini Kurnia Royan Dwi Saputra Rusdi Rivaldo Sabrina, Dea Fitri Samsuryadi Samsuryadi Sanjaya , M. Rudi Sanjaya, M Rudi Sanjaya, M. Rudi Saputra, Danny Matthew Saras Dhilarofii Russandwi Seprina, Iin Septamuyassar, Nawfal Siti Nurhanifah Syahbani, M. Husni Syahnel, Ahmad Hidayat Tammam, Bimmo Fathin Thuraya, Zafira Trimaysella, Anne Vinna Alvionita Wijaya Putra, Bayu Wijaya, Firman Wijayanto, Muhammad Ravi Windy Indrianti Wiwik Handayani Yadi Utama Yadi Utama Yanto, Dimas Hadi Yudha Pratomo Yunita Yunita Zahirah, Nabilah