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All Journal Jurnal Penelitian Saintek Teika JSI: Jurnal Sistem Informasi (E-Journal) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi Annual Research Seminar ANDHARUPA Sistemasi: Jurnal Sistem Informasi Information System for Educators and Professionals : Journal of Information System Syntax Literate: Jurnal Ilmiah Indonesia JOURNAL OF APPLIED INFORMATICS AND COMPUTING SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Halaman Olahraga Nusantara : Jurnal Ilmu Keolahragaan Jurnal ULTIMA InfoSys Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Ilmiah Media Sisfo JURIKOM (Jurnal Riset Komputer) JURTEKSI Seminar Nasional Keperawatan JOISIE (Journal Of Information Systems And Informatics Engineering) JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Teknologi Komputer dan Sistem Informasi Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Sriwijaya Journal of Informatics and Applications REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat KLIK: Kajian Ilmiah Informatika dan Komputer Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Algoritma SmartComp Jurnal Medika: Medika The Indonesian Journal of Computer Science JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Jurnal Komtika (Komputasi dan Informatika)
Oktadini, Nabila Rizky
Universitas Sriwijaya
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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User Experience Evaluation of YouTube Website Using Eye Tracking Method Larasati, Salsabila; Putra, Pacu; Oktadini, Nabila Rizky; Meiriza, Allsela; Sevtiyuni, Putri Eka
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8743

Abstract

YouTube is one of the most popular social media in Indonesia, with one of its features being the Clip Feature, which allows users to share 5-60 seconds video snippets, but many users still experience difficulty in accessing this feature. Based on a survey of more than 130 respondents, 60% were unaware of the Clip Feature, 85% had never used it, and 75% had difficulty finding its location in the YouTube interface. This research aims to evaluate the user experience in accessing the Clip Feature on the YouTube website using the Eye Tracking method, as well as analyzing user attention patterns. Through the RealEye.io tool, the results show that the quality of the test data is very good, with an average E-T data integrity value of 90.33% and gaze on screen of 89.73%. Heatmaps and gaze plot analysis show that respondents' attention patterns tend to show confusion, especially when looking for the Clip feature. This is supported by the results of the attention & emotion graphs analysis, which overall show that the average attention level of respondents is at 0.318, with an increase in the emotion of surprise experienced by respondents more than the emotion of happy. Although the Clip Feature offers significant benefits, users still experience difficulties in accessing it, which results in a decreased user experience. This research is expected to provide new recommendations in improving the user experience of YouTube website, specifically to make the Clip feature more accessible and effective to use.
Evaluation of the Maturity Level of the RS SIM System using the Cobit 5 Framework in the Evaluation Direct and Monitoring Domain Rezeki, Yunika Tri; Oktadini, Nabila Rizky; Putra, Pacu; Sevtiyuni, Putri Eka; Meiriza, Allsela
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (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.v14i1.4889

Abstract

The purpose of using the COBIT 5 framework in the Evaluate, Direct, and Monitor (EDM) domain in this study is to assess the maturity level of the Hospital Information Management System (HIMS) at the Primaya Hospital Laboratory. The evaluation process focuses on three main aspects: EDM01 (Governance Framework Setting and Maintenance), EDM02 (Ensuring Risk Optimization), and EDM05 (Ensuring Transparency). Data were collected by involving the hospital’s IT team through questionnaires and interviews. Based on the analysis, the current maturity level of the HIMS ranges from level 2 to level 4, with a target of achieving level 4 (Predictable Process). A GAP analysis was conducted to compare the current system condition (as-is) with the desired condition (to-be). This study provides improvement recommendations, including the optimization of system governance and the enhancement of IT performance transparency. These recommendations are expected to support increased efficiency, effectiveness, and the strategic value of the Hospital Information Management System (HIMS) at Primaya Hospital.
Increasing Farmer Groups Capacity in Cempaka District through the Utilization of Mobile-Based Knowledge Management and Strengthening Digital Literacy Putra, Pacu; Oktadini, Nabila Rizky; Irmawati, Irmawati; Meiriza, Allsela; Sevtiyuni, Putri Eka
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 1 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i1.76-87

Abstract

Kelompok Tani (Poktan) Hidup Baru is located in Cempaka District, East Ogan Komering Ulu (OKU) Regency, 123 km away from Sriwijaya University. Poktan Hidup Baru was established in 2020 by farmers in Cempaka District and is led by Ali Fauzan. With 29 members, most of them are rice and fruit farmers. The limited technology and literacy of the farmers means that they are not able to innovate. Therefore, the main problem in the Community Partnership Empowerment Programme is the lack of digital literacy and agricultural knowledge management skills. Therefore, this PKM programme aims to introduce knowledge management and improve farmers' skills in using the internet and mobile-based agricultural applications. In addition, this PKM programme also aims to support the transformation of higher education through the production of scientific publications and audio-visual works.Service activities are carried out in five stages: first, preparation; second, production of materials; third, advice; fourth, support; and fifth, monitoring.  The team provides advice and training on the culture of knowledge sharing and the use of agricultural applications such as Plantix. This application can help solve agricultural problems in identifying pests and plant diseases, irrigation and marketing agricultural products. The positive response from the Hidup Baru farmer group indicates the need for similar training in the future to improve farmers' knowledge and skills.
Comparison of Rating-based and Inset Lexicon-based Labeling in Sentiment Analysis using SVM (Case Study: GoBiz Application Reviews on Google Play Store) Firda, Hiliah; Putra, Pacu; Oktadini, Nabila Rizky; Sevtiyuni, Putri Eka; Meiriza, Allsela
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.v14i2.4795

Abstract

Digital transformation has impacted various sectors, including Micro, Small, and Medium Enterprises (MSMEs). GoBiz, a partner platform for Gojek's GoFood service, plays a crucial role in supporting MSME digitalization, making it essential to understand user perceptions of the application. This study conducts sentiment analysis on 5,000 GoBiz user reviews from the Google Play Store. It compares two labeling methods—Rating-Based and Inset Lexicon—and evaluates them using the Support Vector Machine (SVM) algorithm. The analysis process includes data selection, text preprocessing, data transformation using TF-IDF, SVM implementation with 10-fold cross-validation, and result visualization through word clouds. The findings indicate that the Rating-Based labeling method achieved an accuracy of 87%, with a precision of 86.7%, recall of 87.1%, and an F1-score of 86.8%. Meanwhile, the Inset Lexicon labeling method outperformed it, achieving an accuracy of 89.7%, precision of 89%, recall of 89.8%, and an F1-score of 89.3%. These results suggest that the combination of the Inset Lexicon labeling method and the SVM algorithm is more effective in classifying user sentiment and providing a more accurate understanding of user perceptions regarding the GoBiz application. Sentiment analysis results indicate that users appreciate GoBiz’s ease of operation but face challenges with driver services and advertisement features, highlighting areas for improvement to enhance user satisfaction.
Analisis Kepuasan Pengguna Terhadap Aplikasi Dana Menggunakan Metode End User Computing Satisfaction (EUCS) Sakinah Sakinah; Nabila Rizky Oktadini
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1487

Abstract

The advancement of technology allows for various developments, such as the creation of systems and applications that facilitate human tasks and transactions. However, the existence of applications also requires research to measure user satisfaction, one of which is the DANA application. DANA is a smart application that provides convenience in transactions. With DANA, people can easily make online and offline payments using electronic money. This research aims to determine the level of user satisfaction with the DANA application using the End User Computing Satisfaction (EUCS) method. This method focuses on user satisfaction by analyzing the application based on content, accuracy, format, user-friendliness, and timeliness. The research conducted is descriptive research using a questionnaire as the research instrument. The sampling technique used in this study is random sampling. This research is deemed necessary to determine the level of user satisfaction. Furthermore, the data is processed using SPSS Version 25. The results show that the level of user satisfaction for the five variables is as follows: the Content variable received a high satisfaction score with a percentage value of 78.8%, the Accuracy variable received a high satisfaction score with a percentage value of 78.7%, the Format variable received a high satisfaction score with a percentage value of 79.2%, the Ease of Use variable received a high satisfaction score with a percentage value of 79.2%, and the Timeliness variable received a high satisfaction score with a percentage value of 77.3%.
Analisis Kepuasan Pengguna Terhadap Aplikasi Spotify Menggunakan Metode End User Computing Satisfaction (EUCS) M Ferlian Sijadah; Nabila Rizky Oktadini; Allsela Meiriza; Pacu Putra; Putri Eka Sevtiyuni
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1485

Abstract

Music streaming applications are applications that allow users to listen to legal or online music. Spotify is currently known as the application that provides the largest music streaming service, digital music, podcast, and video service with access to millions of songs and other content from various creators worldwide. This research concerns the analysis of user satisfaction with the Spotify application. This research was conducted to understand and determine user satisfaction with the Spotify application. The method used in this research is End User Computing Satisfaction (EUCS). There are also problems with this music application related to the competition system when listening to music online. The sampling technique uses Lemeshow sampling (based on coincidence) with a total of 100 respondents using a research instrument in the form of a questionnaire using a Likert scale, which is a scale used to measure perceptions, attitudes, or opinions of users towards the Spotify application. shows that the level of user satisfaction from the five variables shows that the Content variable gets the highest satisfaction with a total percentage of 78.5%, the Accuracy variable gets high satisfaction with a total percentage of 77.5%, the Format variable gets the highest satisfaction with a total percentage of 79.9%, the Variable Ease of Use gets high satisfaction with a percentage of 84.6%, the Timelines variable gets high satisfaction with a percentage of 78.9%.
PENGGUNAAN MIXED METHOD USABILITY TESTING (EYE TRACKING METHOD DAN COGNITIVE WALKTHROUGH (STUDI KASUS: WEBSITE JURUSAN SISTEM INFORMASI FAKULTAS ILMU KOMPUTER UNIVERSITAS SRIWIJAYA): Case Study: Website of The Department of Information Systems, Faculty of Computer Science, Sriwijaya University Putra, Pacu; Oktadini, Nabila Rizky; Hardiyanti, Dinna Yunika; Larasati, Salsabila; Putri, Nyayu Dwi Tarisa
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i2.4516

Abstract

Universitas Sriwijaya is one of the state universities in Indonesia. Universitas Sriwijaya has 10 faculties, one of which is the Faculty of Computer Science. Information Systems is one of the departments in the Faculty of Computer Science, Sriwijaya University. Based on the observation results, the Department of Information Systems has just updated the appearance of its website. To determine the level of usability of the website, this research uses two methods, namely eye-tracking method and cognitive walkthrough. The activities that are the research material in this research include searching for lecturers' schedules, downloading final project guidelines and searching for course codes. As a result of the cognitive walkthrough method, the activity of searching for lecturers' timetables has the lowest success rate of 0%, followed by the activity of searching for course codes with 40% and the activity of downloading final project guidelines with 80%. In addition, the research continued using the eye-tracking method to identify areas of confusion for the respondents and to understand the emotional level of the respondents when carrying out these activities. It can be seen that the average respondent is still confused or unfocused when working on the pre-defined activities.
Pendampingan Inovasi Kecerdasan Buatan dalam Pengembangan Asesmen Pembelajaran untuk Mendukung Literasi Digital bagi Guru SMP Buchari, Muhammad Ali; Sukemi, Sukemi; Oktadini, Nabila Rizky; Marjusalinah, Anna Dwi; Simarmata, Ruth Helen; Afif, Hasnan
Jurnal Medika: Medika Vol. 4 No. 3 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/7xep0n45

Abstract

The Merdeka curriculum formulates learning that refers to the abilities needed in the era of industrial revolution 4.0 and society 5.0. The assessment is carried out as an effort to measure the level of achievement of learning indicators and collect information on student learning progress in various aspects.  Facts in the field show problems in implementing independent curriculum cognitive assessments in learning. This indicates the high need for preparing independent curriculum assessments, namely diagnostic assessments, formative assessments and summative assessments. Artificial intelligence or Artificial Intelligence (AI) is part of the industrial revolution 4.0 and society 5.0 so that integrating society and technology cannot be avoided.  Artificial Intelligence in mathematics learning has great potential to support learning effectiveness and efficiency. This service is a lecture activity that integrates artificial intelligence evaluation courses into service activities that are integrated with community service. This initiative was implemented to support digital literacy and increase teacher competency in utilizing modern technology, in accordance with the principles of the Independent Curriculum. This activity includes training, mentoring, and evaluation of the use of AI in learning assessment. As a result of this activity, teachers are able to understand the basic concepts of AI, innovation in assessment development, and its implementation in the classroom. Through various face-to-face and online meetings, this activity succeeded in providing new insights for teachers regarding the use of AI technology in learning, although there were challenges related to initial understanding and availability of supporting facilities. With intensive assistance, teachers are able to prepare assessments that are more adaptive and appropriate to student needs, so they are expected to be able to support improving the quality of education in the digital era.
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 FAKTOR YANG MEMPENGARUHI NIAT PERILAKU PENGGUNA APLIKASI INDRIVE MENGGUNAKAN METODE UTAUT2 Indriani, Arizanti Randa; Oktadini, Nabila Rizky
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.v8i2.4726

Abstract

InDrive adalah layanan transportasi online berbasis aplikasi yang memberikan layanan dalam berbagai jenis kendaraan seperti motor, mobil, serta layanan lainnya seperti kurir, pengiriman antar kota, dan pengiriman barang berjumlah atau berukuran besar dengan menggunakan mobil khusus. Aplikasi InDrive memiliki keunggulan di berbagai fiturnya, akan tetapi dikarenakan persaingan bisnis menjadikan aplikasi InDrive tidak sepopuler aplikasi layanan transportasi lainnya, dengan demikian perlu dilakukan analisis terhadap faktor-faktor yang mempengaruhi niat perilaku pengguna terhadap aplikasi InDrive dengan menggunakan konstruk-konstruk Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Setelah melakukan penelitian, diperoleh hasil yaitu dari 25 hipotesis terdapat 6 hipotesis yang memiliki dampak terhadap niat perilaku pengguna aplikasi InDrive di Indonesia diantaranya Behavioral Intention memiliki dampak signifikan terhadap Use Behavioral, Habit memiliki dampak signifikan terhadap Behavioral Intention, Habit memiliki dampak signifikan terhadap Use Behaviour, Social Influence memiliki dampak signifikan terhadap Behavioral Intention, Gender mempengaruhi Hedonic Motivation yang memiliki dampak signifikan terhadap Behavioral Intention, dan Experience mempengaruhi Behavioral Intention yang memiliki dampak signifikan terhadap Use Berhavior
Co-Authors A.A. Ketut Agung Cahyawan W Afif, Hasnan Ahmad Ardin Fariska Ahmad Rifai Aisyah Filza Aliyah Akbaroka, Leo Ali Bardadi Allsela Meiriza Allsela Meiriza Allsela Meiriza Allsela Meiriza Allsela Meiriza, Allsela Allsela Meriza Alsella Meiriza Alvi Syahrini Utami Amanda, Bella Rizkia Anna Dwi Marjusalinah Annisa Tri Ning Tyas Apriansyah Putra Ari Wedhasmara Arnan, Sefian Ayu, Nabila Riska Az Zahra, Cindy Putri Bayu Wijaya Putra Buchari, Muhammad Ali Bunga Ayu Ferdiyanti Cha Cha Kirana Danar Feriano Dedy Kurniawan Deni Lidianti Dian Palupi Rini Dinda Lestarini Dinna Yunika Hardiyanti Dwi Rosa Indah Endang Lestari Ruskan Endang Lestari Ruskan Fadhlan Jiwa Hanuraga Faizah, Ovie Nur Fatimah Salsabila Fika Febrika Fiqih Alfito Firda, Hiliah Gilbert Frans Wijaya Gumay, Naretha Kawadha Pasemah Gusti Barata Helmalia Sandy Idpal, Idpal Indriani, Arizanti Randa Irmawati Irmawati Jefven Fernando Larasati, Salsabila Letty Latifani Arifah M Ferlian Sijadah M Rudi Sanjaya M, Nys Marliza Tiara Mahendra, Calvin Marjusalinah, Anna Dwi Marshella, Siti Hariza Mastura Diana Marieska Maulida, Mutia Nadra Meiriza, Viola Meitiana Audya Muhamad Edric Rasyid Muhammad Aidil Fitri Syah Muhammad Ali Buchari Muhammad Ihsan Muhammad Rizkiansyah Muklis Febriadi Mulyadi Mulyadi Nabila Riska Ayu Nadia Anggraini Naretha Kawadha Pasemah Gumay Neza Purnamasari Novi Yusliani Nyimas Silvia Pacu Putra Pacu Putra Padlefi, Muhamad Riza Putri Eka Sevtiyuni Putri Eka Sevtiyuni Putri Eka Sevtiyuni Putri Eka Sevtiyuni Putri Eka Sevtiyuni Putri Eka Sevtiyuni Putri Eka Sevtyuni Putri, Nyayu Dwi Tarisa Rabiatul Adawiyah Rahma, Syabilla Mutia Ramadhan, Kumara Aditya Ramadhan, Muhammad Gilang Rani Mardiah Rezeki, Yunika Tri Riska Yunita Rizka Rahmadhani Rugaiyah Balqis Sakinah Sakinah Salsabila, Fatimah Sanjaya, Rudi Saputri, Sonia Dwi Sarifah Putri Raflesia Sevtiyuni, Putri Eka Simarmata, Ruth Helen Sukamto, Ika Sumiyarsi Sukemi Sukemi Supriyanto, Anatasya Clara Susanti, Helen Wahyudi, Muhammad Iqbal Widasari, Yesya Najwa Yunita Yunita Yunita Yunita Yunita Yunita Zaki Nugraha Muhammad