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JUSS (Jurnal Sains dan Sistem Informasi)
Published by Universitas Jambi
ISSN : -     EISSN : 26148277     DOI : https://doi.org/10.22437/juss
Core Subject :
JUSS covers a broad range of topics in Information Systems and Computer Science, including but not limited to the following areas: 01. Software Engineering 02. Decision Support Systems 03. Information Systems Security 04. Artificial Intelligence 05. Data Analytics and Visualization 06. Data Science 07. Information Technology Adoption 08. Information Technology Governance
Arjuna Subject : -
Articles 91 Documents
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FACTORS AFFECTING E-LEARNING USER ACCEPTANCE LEVEL USING TECHNOLOGY READINESS ACCEPTANCE MODEL (TRAM) (CASE STUDY: JAMBI UNIVERSITY) yolanda
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 5 No. 1 (2022): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v5i1.12342

Abstract

i-LMS UNJA (E-learning Jambi University) is a Jambi University online learning medium that facilitates the implementation of free lectures or information and communication technology assistance. This study aims to determine the factors that affect the level of acceptance of e-learning users using the Technology Readiness Acceptance Model (TRAM). This research was conducted by using purposive sampling method, namely the sampling technique by determining certain criteria in sampling. The number of respondents who were determined as samples in this study were 105 respondents who have used E-learning Jambi University based on Hair theory. The analysis technique used to interpret and analyze the data in this study is the Structural Equation Model (SEM) technique using Partial Least Square (PLS) software to determine the influence between variables in the research model. The final result of this research is that it is known that the hypothesis of the variables that affect the level of acceptance of e-learning users is 7 accepted with a T-statistic value> 1.96 and three rejected with a T-statistic value <1.96.
FAKTOR-FAKTOR YANG MEMPENGARUHI LOYALITAS PENGGUNA APLIKASI RUANGGURU DI KOTA JAMBI Asrin Amer, Ayu Rizki Anggraini
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 5 No. 2 (2022): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v5i2.12433

Abstract

This study aims to see the factors that affect the loyalty of users of the Ruangguru application in Jambi City. This research was conducted by using purposive sampling method, namely the sampling technique by determining the criteria specified in the sampling. The number of respondents who were determined as samples in this study were 100 high school students in Jambi City who had used the Ruangguru application. The analysis technique used to interpret and analyze the data in this study is the Structural Equation Model (SEM) technique using Partial Least Square (PLS) software to see the influence between variables in the research model. The final result of this research is that it is known that the aesthetic quality factors, namely typography, color and content quality, have a significant effect on user trust in the Ruangguru application, organizational structure and layout factors, namely interactivity which have a significant effect on user trust in the Ruangguru application, but navigation has no significant effect on user trust. Meanwhile, the trust factor as well as the switching cost have a significant effect on the loyalty of the Ruangguru application.
DETERMINAN YANG MEMPENGARUHI CONTINUANCE INTENTION PENGGUNAAN E-WALLET DANA MENGGUNAKAN MODEL TECHNOLOGY CONTINUANCE THEORY (TCT) Harum Dio Dwilestari
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 7 No. 1 (2024): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v7i1.12437

Abstract

Dana is one of the digital wallet service providers in Indonesia which was launched in 2018. Since its launch, Dana has had 10 million users, and has even been able to penetrate the top 3 digital wallet applications with the most monthly active users. However, in September 2020, the use of Dana decreased from 42% to 40%. This study aims to determine the factors that determine the intention tocontinous usage of Dana, especially in Jambi City. The method used in this study uses the Technology Continuance Theory (TCT) and analysis methods using sem-pls. Data is collected based on Dana users in Jambi City who have made transactions using Dana. The result of this research is that attitude and satisfaction are factors that directly influence the intention to sustain the use of funds. And theconfirmation variable is the key for service developers to keep funds in line with expectations.
Evaluasi Website Pemerintah Kota Jambi Menggunakan System Usability Scale Pratama Azani Akbar
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 4 No. 1 (2021): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v4i1.13054

Abstract

The Jambi City website or commonly called SIKOJA is a website created by the Jambi City Communications and Information Office (DISKOMINFO), the website presents the latest information in Jambi City. To produce a website that can present information effectively and efficiently, it is necessary to evaluate the website from the views of the website users themselves. One way to evaluate a website is to measure its usability level. This research was conducted to determine the level of website usability by using the System Usability Scale. System Usability Scale (SUS) is a usability method that can be used as an evaluation tool to see the level of usability of a website. System Usability Scale was introduced by John Brooke in 1986, testing using SUS involves end users in testing. The results of the assessment of the SUS questionnaire in the form of a SUS score which is also in the form of NPS (Net Promoter Score), acceptable, adjective, and the grade of the usability website that has been evaluated. SUS can be used for various types of products and services, including hardware, software, mobile devices, websites and applications. By distributing the System Usability Scale questionnaire, the results of the evaluation of the Jambi City Government website obtained a usability level with the SUS score obtained was 70.8 with a 56% percentile rating and above the average of the SUS Score in general, then for the grade, the City Government website Jambi is in grade, while on the adjectives scale the use of the Jambi city government's website is OK/enough, which means the website is feasible to use and the menus on the website function properly, but still need improvement, for marginal acceptability, for the NPS classification (promoters and detractors), are classified as passive. Respondents in this study are known to be passive towards the Jambi City Government website. This can be due to a lack of knowledge about the websites visited and also the website content which can be said to be incomplete.
Evaluasi Efek Penerapan Jambi University English Language Test (JUELT) Computer Based Test (CBT) Online Terhadap Resistensi Pengguna (Studi Kasus: UPT Bahasa Universitas Jambi) faningfitriani
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 4 No. 1 (2021): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v4i1.13641

Abstract

JUELT CBT Online is an english test service intended for students. The implementation of the information system is a change from a manual system to an online system. There are several obstacles faced in the implementation of information systems in an organization, one of which is user resistance. Resistance can be in the form of an individual's tendency to resist change and try to maintain the status and comfort of work as they have previously obtained. The purpose of this study is to determine the factors that influence and do not affect user resistance to the implementation of JUELT CBT Online at Jambi University. The population in this study were students at the University of Jambi. The sample size is 100, which is taken by non-probability sampling technique and analysis methods using sem-pls. The results of this study indicate that of the 8 variables used, there are 5 accepted hypotheses, namely Change in Job content (CJC) has a direct effect on Usability issues and resistance to technology (UIRT), Lack of communication between top management and end user (LCMU) has a direct effect. on User Expectation (UE), Lack of user involvement in the development process (LUID) has a direct effect on User Expectation (UE), Usability issues and resistance to technology (UIRT) have a direct effect on Increased effort (IE), Increased effort (IE) ) has a direct effect on Resistance due to change (RDC), while the 3 rejected hypotheses, namely Lack of Education and User training (LUET) have no direct effect on Usability issues and resistance to technology (UIRT), Change in Job content (CJC) has no effect directly on Increased effort (IE), and User Expectation (UE) has no direct effect on Resistance due to change (RDC).
ANALISIS USABILITY PADA APLIKASI EDULOGY MENGGUNAKAN SYSTEM USABILITY SCALE (SUS) STUDI KASUS DI SMA NEGERI 5 KOTA JAMBI amin, muhammad
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 4 No. 1 (2021): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v4i1.14247

Abstract

This study aims to identify the usability or usability of the Edulogy application using the System Usability Scale (SUS) at SMA Negeri 5 Jambi City. Respondent criteria used in this study were students and teachers who used the Edulogy application for learning media boldly at SMA Negeri 5 Jambi City. The data used are primary data sourced from respondents of 81 teachers and 304 students. The calculation technique used is by using the System Usability Scale (SUS) calculation. The results of the calculations in this study found that the System Usability Scale (SUS) can explain 72 SUS scores obtained from teachers and 68 SUS scores obtained from students in the Edulogy application. . In the second grade, the SUS score can be seen to be in Grade C (okay) which indicates the score is normal, neither above nor below average. In the adjectives, it can be achieved that the Eduology learning according to the respondents is classified as normal. In Acceptability the use of the Edulogy application can be accepted and used in general by respondents and on the Net Promoter Score (NPS) it is in the passive classification.
The Classification of Student Potential to Drop Out Using Decision Tree C4.5 and Naive Bayes Algorithm in Jambi University Isra Hayati
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 4 No. 2 (2021): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v4i2.14279

Abstract

Drop out merupakan salah satu masalah yang pernah dihadapi oleh sebagian mahasiswa dan dapat mempengaruhi mutu pendidikan di suatu perguruan tinggi. Drop out dapat terjadi karena berbagai macam faktor. Salah satu cara untuk mengetahui faktor - faktor yang mempengaruhi mahasiswa drop out ialah dengan klasifikasi. Klasifikasi mahasiswa drop out dalam penelitian ini menggunakan beberapa atribut atau variabel, diantaranya Indeks Prestasi Komulatif (IPK), Satuan Kredit Semester (SKS) Total, Asal Sekolah, Pekerjaan Orang Tua, Penghasilan Orang Tua, Biaya Kuliah, Jenis Tempat Tinggal dan Status Mahasiswa. Algoritma klasifikasi yang digunakan yaitu Algoritma Decision Tree C4.5 dan Algoritma Naive Bayes. Penelitian ini dilakukan untuk membandingkan kinerja dari algoritma Decision Tree C4.5 dan Naive Bayes sehingga didapat algoritma paling baik dalam mengklasifikasikan mahasiswa berpotensi drop out. Hasil yang didapat dalam penelitian ini adalah algoritma Decision Tree C4.5 menghasilkan nilai accuracy dan f1-score sebesar 96,74% dan 86,55% sedangkan algoritma Naive Bayes menghasilkan nilai accuracy dan f1-score sebesar 96,24% dan 82,34%. Dari hasil tersebut dapat disimpulkan bahwa algoritma yang memiliki peforma paling baik dalam mengklasifikasikan mahasiswa drop out ialah Algoritma Decision Tree C4.5. Hasil penelitian ini diimplementasi menggunakan pohon keputusan dengan SKS Total sebagai root yang berarti SKS Total merupakan faktor paling berpengaruh dalam klasifikasi mahasiswa drop out. Rekomendasi untuk penelitian selanjutnya dapat membandingkan lebih dari dua algoritma atau menambah variabel lain dalam mengklasifikasikan mahasiswa berpotensi drop out.
Klasifikasi Mahasiswa Berpotensi Drop Out Menggunakan Algoritma Decision Tree C4.5 dan Naive Bayes di Universitas Jambi Isra Hayati
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 4 No. 1 (2021): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v4i1.14288

Abstract

Drop out is one of the problems faced by some students and can affect the quality of education in a university. Drop out occur due to various factors. One way to find out the factors that influence students to drop out is by classification. The classification of drop out in this study uses several variables, namely the Cumulative Achievement Index (GPA), Total Semester Credit Units, School Origin, Parents' Occupation, Parents' Income, Tuition Fees, Residence and Status. The classification algorithm used is the Decision Tree C4.5 Algorithm and the Naive Bayes Algorithm. This study was conducted to compare the performance of the Decision Tree C4.5 and Naive Bayes algorithms in order to obtain the best algorithm in classifying potential drop outs. The results obtained in this study are the Decision Tree C4.5 algorithm produces accuracy and f1-score values of 96.74% and 86.55%, while the Naive Bayes algorithm produces accuracy and f1-score values of 96.24% and 82.34. %. From these results, it can be concluded that the algorithm that has the best performance in classifying drop outs is the Decision Tree C4.5 Algorithm. The results of this research are implemented using a decision tree with a Total Semester Credit Unit as the root, which means the Total Credit is the most influential factor in the classification of drop outs. Recommendations for further research can be to compare more than two algorithms or add other variables in classifying students who have the potential to drop out.
EVALUASI USER INTERFACE E-LEARNING UNIVERSITAS JAMBI MENGGUNAKAN SYSTEM USABILITY SCALE agustin, zeri
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 4 No. 2 (2021): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v4i2.14775

Abstract

Abstract In a website, the user interface is very important, because the user interface is where the user interacts with the website. A good user interface of course will greatly facilitate users to get information or services offered on a website. Testing the quality of the Jambi University E-Learning user interface in this study was carried out using the SUS (System Usability Scale) method. This test was carried out by distributing a questionnaire containing ten questions that were already available in the SUS method. After doing the research, the SUS score obtained by E-Learning Jambi University was 73.46. From this score, it is known that the percentile level is above the average, which is 65%. Then, the grade received by Jambi University's E-Learning is B and the Adjective scale is good, which means the Jambi University's E-Learning website has good quality. Furthermore, the level of acceptability is at the level of acceptable or can be accepted and understood by the respondents well. For the NPS score, Jambi University's E-Learning is in the Passive classification, which means that respondents are passive in recommending E-Learning to be used by others. Respondents have not actively invited others to use Jambi University's E-Learning.
Analisis Usability Pada Aplikasi Presensi Mahasiswa QR-Code Mobile Menggunakan System Usability Scale (SUS) Studi Kasus Di Universitas Jambi Nurhani, Audina
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 4 No. 2 (2021): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v4i2.14777

Abstract

Mengidentifikasi usability atau kebergunaan pada aplikasi Presensi Mahasiswa QR-Code Mobile Universitas Jambi sangatlah penting untuk perkuliahan. Kriteria responden yang digunakan adalah mahasiswa Universitas Jambi yang masih aktif kuliah pada semester 1 sampai dengan semester 6 yang menggunakan aplikasi Presensi Mahasiswa QR-Code Mobile UNJA. Teknik perhitungan yang digunakan System Usability System (SUS). Hasil perhitungan pada penelitian ini menemukan bahwa System Usability Scale (SUS) dapat menjelaskan sebesar 62 skor SUS yang didapat dari mahasiswa pada semester 1 sampai dengan semester 6 yang masih aktif menggunakan aplikasi Presensi Mahasiswa QR-Code Mobile UNJA yang menunjukkan bahwa aplikasi termasuk dalam kategori cukup baik. Pada Precentile Rank berada pada Grade D yang menunjukkan skor tersebut lebih besar sama dengan 51 dan lebih kecil 68. Untuk Adjective Rating dapat dikelompokkan bahwa penggunaan aplikasi Presensi Mahasiswa QR-Code Mobile UNJA menurut responden tergolong dalam dalam kelompok OK yang berarti memiliki respon yang bagus dalam perspective pengguna. Pada Acceptability penggunaan aplikasi Presensi Mahasiswa QR-Code Mobile yang digunakan dapat diterima oleh pengguna namun masih banyak perbaikan dalam efektivitas kinerja aplikasi presensi dan pada Net Promoter Score (NPS) berada pada klasifikasi Passive yang menunjukkan bahwa pengguna memberikan respon yang baik ketika berada pada tingkat kepuasan yang cukup dan akan kembali menggunakannya sehingga memberikan dampak yang baik pada aplikasi Presensi Mahasiswa QR-Code Mobile UNJA.

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