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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 RABIT: Jurnal Teknologi dan Sistem Informasi Univrab 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 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 Jurnal Algoritma Malcom: Indonesian Journal of Machine Learning and Computer Science 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
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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.
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.
Evaluasi Kepuasan Pengguna Pada Website PalTV Dengan Metode EUCS Indah, Dwi Rosa; Nurfadillah, Nadya
Jurnal Nasional Teknologi dan Sistem Informasi Vol 8 No 2 (2022): Agustus 2022
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v8i2.2022.89-97

Abstract

Website PalTV merupakan media informasi dan promosi yang berguna untuk menunjang finansial dari PT. Sumeks Paltv. Namun karena kekurangan sumber daya manusia, website ini mengalami penghentian operasi konten yang mengakibatkan terjadi penurunan viewers. Maka dilakukannya evaluasi secara keseluruhan berdasarkan pengalaman pengguna, pentingnya evaluasi ini untuk mengembalikan eksistensi website PalTV sekaligus menambah pemasukan finansial perusahaan. Adapun metode yang cocok yang dipakai adalah metode End User Computing Satisfaction (EUCS), dimana metode ini dapat mengukur kepuasan pengguna dengan lima variabel yang meliputi content, accuracy, format, ease of use dan timeliness. Penelitian ini juga menggunakan 220 responden yang pernah mengakses website PalTV dan berdomisili Palembang, dan disebarkan melalui google form. Adapun hasil jawaban dari responden menunjukan kategori tinggi dalam kepuasan pengguna meliputi variabel accuracy, dan untuk variabel content, format, ease of use dan timeliness berada di kategori kurang puas.
Understanding the Landscape of Usability Evaluation in Geographic Information Systems: A Systematic Literature Review Kurniawan, Dedy; Rosa Indah, Dwi; Sari, Purwita; Alif, Rahmat
Journal of Applied Science, Engineering, Technology, and Education Vol. 5 No. 1 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci1815

Abstract

This systematic literature review comprehensively examines usability evaluation in Geographic Information Systems (GIS). The study explores the importance of usability evaluation, common usability issues, and the role of usability evaluations in GIS design and development. The review reveals a critical need for more scientific publications of up-to-date GIS usability evaluations. It highlights the importance of usability evaluations in developing more user-friendly GIS applications. The findings underscore the need for improved user guidance and more intuitive design of GIS applications, particularly for novice users. The review also identifies several opportunities for future research, including developing usability guidelines for GIS, exploring new methods for analyzing GIS interactions and workflows, and considering GIS use over more extended periods. The findings have significant implications for GIS developers, users, and researchers, emphasizing the importance of conducting usability evaluations to enhance user satisfaction and improve task performance.
Analisis Faktor Penerimaan dan Penggunaan LinkedIn Menggunakan Model UTAUT 2 Rahmayuni, Septa; Indah, Dwi Rosa; Firdaus, Mgs Afriyan; Wedhasmara, Ari
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.37750

Abstract

LinkedIn functions as a job search site. LinkedIn users are spread across various regions of Indonesia including Palembang City. Based on ratings on the Play Store, LinkedIn has the lowest rating compared to similar job search applications and a search on LinkedIn by entering Palembang City as a location shows the number of users in Palembang City is lower than other cities. In user reviews there are complaints about verification issues that cause displeasure and rejection of the use of this application. To find out what factors influence acceptance and use of LinkedIn, it is necessary to analyze these factors. This research was conducted by testing several constructs in the UTAUT 2 model. The data analysis technique used is the PLS-SEM analysis approach. The results showed that facilitating conditions, hedonic motivation, and habit affect behavioral intention. On the other hand, facilitating conditions and habit affect use behavior.
Goal Directed Design Method on UI/UX Design Mobile-Based Application for Preventing Waste Dumping Aliyah, Raden Ayu Alfirah; Indah, Dwi Rosa; Firdaus, Masagus Afriyan
ULTIMA InfoSys Vol 15 No 2 (2024): Ultima Infosys: Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v15i2.3864

Abstract

The issue of waste dumping persists a significant challenge in Indonesia, particularly in the context of South Sumatra Province. In 2022, the quantity of unmanaged waste in South Sumatra Province was documented at 521,075 tons per year. In the course of 2024, South Sumatra was subjected to a total of 58 floods. This illustrates that flooding remains a significant challenge that necessitates the development of innovative solutions, as it can impede the attainment of the Sustainable Development Goals (SDGs), particularly those pertaining to SDG 11, namely the maintenance of sustainable cities and communities. The act of discarding refuse into air ducts represents a significant contributing factor to the occurrence of flood disasters. Accordingly, this research was undertaken with the objective of designing an interface for the Jagoan Sungai application, which is intended to prevent waste dumping. The application was designed with the specific purpose of facilitating the reporting of instances of littering in river environments by individual communities. The application was designed using the Goal Directed Design method and subsequently evaluated using the User Experience Questionnaire (UEQ) method and the Think Aloud method. The UEQ test results indicate that the scores for the six scales exceed 0.8, indicating a high level of user satisfaction. The Think Aloud test results demonstrate that while no significant improvements are necessary, additional information should be incorporated into the application to enhance the user experience further.
Analysis of Factors Influencing Viu Application User Satisfaction using the End User Computing Satisfaction (EUCS) and DeLone & McLean Sabrina, Dea Fitri; Indah, Dwi Rosa; Firdaus, Mgs Afriyan; Gumay, Naretha Kawadha Pasema
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): 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.v13i6.4765

Abstract

One area of telecommunications technology that is also undergoing development in the context of entertainment is that of video streaming. Viu is a video streaming service that provides a range of premium content free of charge. Nevertheless, the Viu application continues to elicit a range of grievances, with the application’s rating remaining relatively low. It is of great importance to consider user satisfaction with an application. This research employs two methods, namely End User Computing Satisfaction (EUCS) and Delone & McLean, to ascertain the factors influencing user satisfaction with the Viu application. A sample of 244 respondents was obtained for the purposes of this research. The data obtained was analysed using the PLS-SEM technique with the Smart-PLS 4 tool. The final results obtained were that the variables of content, ease of use, timeliness, system quality, and finally information quality have a significant effect on user satisfaction.
Co-Authors Afif, Hasnan Afriyan Firdaus Ahmad Fali Oklilas Akbari, Rahmat Alif Al Ikhsan Faiq Alghifari, M Yasir Ali Ibrahim Ali Ibrahim Alif, Rahmat Aliyah, Raden Ayu Alfirah Allsela Meiriza, Allsela Alvionita, Vinna Ananda Khoirunnisa Andhika Setiadi Anna Dwi Marjusalinah Annisa Khoiriah Apriansyah Putra Ardina Ariani Ari Wedhasmara Ariani, Ardina Ariansyah Saputra Arrijal Ismail, Ahmad Arwin Permata Putra Astriani, Yulia Athalina, Ghita Athalina, Githa Bayu Wijaya Putra Cherliana 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 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 Ikhwan Amalsyah Imran, Athallah Yasyfi Indri Dwi Damayanti Izzatul Maula, Nurly Jaidan Jauhari Jayawarsa, A.A. Ketut Karlina, Devi Ken Dhita Tania Liana Andini, Rahmah Lufiah, Fara Lulu Monica Sari M HUSNI SYAHBANI, M HUSNI M Yasir Alghifari M. Rudi Sanjaya M. Rudi Sanjaya M. Rudi Sanjaya Sanjaya MARIA BINTANG Megah Mulya Merlin, Chalia Meylani Utari Mgs Afriyan Firdaus Mgs Afriyan Firdaus MGS. Afriayan Firdaus Miftahurrohmah Haque Mira Afrina Moses Rinaldy Muhammad Dzaky Alifayoezra Muhammad Fandra Eka Pratama Muhammad Raihan Udda Rahmany Mukhlis Febriady Mutia Farahdilla Naretha Kawadha Pasemah Gumay Naretha Kawadha Pasemah Gumay 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 Putri, Taniya Raisha Dwiva Rachmad, M. Ichsan Farel Rachmad, Muhammad Ichsan Farel Rafliandi Ardana Rahma Ardhia Cahyani 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 Tsabitah, Laila Vinna Alvionita Widya Sartika Wijaya Putra, Bayu Wijaya, Firman Wijayanto, Muhammad Ravi Winda Kurnia Sari Windy Indrianti Wiwik Handayani Yadi Utama Yadi Utama Yanto, Dimas Hadi Yudha Pratomo Yunita Yunita Zahirah, Nabilah