cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mesran
Contact Email
jurnal.josh@gmail.com
Phone
+6282161108110
Journal Mail Official
jurnal.josh@gmail.com
Editorial Address
Sekretariat Forum Kerjasama Pendidikan Tinggi (FKPT) Jalan Sisingamangaraja No. 338, Medan, Sumatera Utara
Location
Kota medan,
Sumatera utara
INDONESIA
JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 2686228X     DOI : -
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Artikel yang dimuat melalui proses Blind Review oleh Jurnal JOSH, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang teknologi dan informasi. Fokus Journal of Information System Research (JOSH)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 754 Documents
 42   43   44   45   46 
Penerapan Metode Naive Bayes Dalam Klasifikasi Spam SMS Menggunakan Fitur Teks Untuk Mengatasi Ancaman Pada Pengguna Azzahra, Fathimah Noer; Rohana, Tatang; Rahmat, Rahmat; Juwita, Ayu Ratna
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.5070

Abstract

One of the negative impacts of current digital advances is the increasing number of SMS spam. Spam SMS poses a security risk to users because they can contain malicious links or requests for personal information that are used for malware, smishing, or fraud attacks. However, with the various protection measures available, not all spam SMS can be classified and prevented effectively. However, this problem can be minimized by creating an anti-spam SMS model which aims to classify SMS types. So this research aims to classify types of SMS that contain spam and spam by applying the Naïve Bayes algorithm. In this study, the dataset consisted of 5572 records consisting of 2 categories, namely spam and ham. This algorithm is able to show satisfactory performance in differentiating spam and spam messages because, according to the diversity of literature, the Naïve Bayes algorithm is suitable for use in English language datasets. The evaluation model displays good results with accuracy reaching 93.2%, precision 93.7%, recall 93.2%, and F1-score 91.6%. In addition, analysis in the research using the Receiver Operating Characteristic (ROC) curve shows an accuracy rate of 97.3%, indicating that the model has very good performance in classifying spam in SMS messages. However, there is still room for improvement through the use of new methods and larger and more diverse data sets. This research has an important involvement in working on communication security and user experience in using short message services.
Design and Implementation of Project Management for Self-Branding Website Using Rapid Application Development Singgalen, Yerik Afrianto
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.5075

Abstract

This research investigates the implementation of the Rapid Application Development (RAD) methodology in the context of website management for personal branding. The background of the study elucidates the increasing importance of personal branding in the digital age and the role of websites as crucial platforms for individuals to showcase their expertise and establish their online presence. Against this backdrop, the research explores how the RAD methodology is applied to streamline the development and management of personal branding websites, emphasizing its iterative, collaborative, and time-efficient approach. The study delves into the principles and phases of RAD, highlighting its suitability for website development projects characterized by evolving requirements and tight timelines. By employing a qualitative research approach, including interviews, surveys, and case studies, the research examines the experiences and perspectives of individuals and organizations utilizing RAD in their website management endeavors for personal branding purposes. The findings reveal several critical insights into implementing RAD in website management for personal branding. Firstly, RAD enables rapid prototyping and iteration, facilitating the timely development and deployment of websites tailored to individual branding needs. Secondly, RAD promotes collaboration and user involvement, ensuring that websites effectively meet user requirements and preferences. Thirdly, RAD's iterative nature allows for flexibility and adaptability, enabling individuals to respond promptly to changes in branding strategies and market dynamics. Overall, the research underscores the significance of RAD as a valuable methodology for developing and managing personal branding websites. By leveraging RAD's iterative, collaborative, and time-efficient approach, individuals create dynamic and engaging online platforms that effectively communicate their expertise, values, and unique brand identity. The findings offer valuable insights and recommendations for practitioners, researchers, and organizations seeking to enhance their branding efforts through effective website management strategies.
Penerapan Desain UI/UX Pada Aplikasi Buku Kas Laundry Menggunakan Metode Lean Ux Nabawi, M Reza; Wulandari, Fitri; Safaat, Nazruddin; Darmizal, Teddie
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.5082

Abstract

Laundry services are businesses in the field of washing and drying services, especially clothes. This business is growing as the number of consumers who use laundry services increases, because it can help make things easier for busy people in their daily work. Using laundry services can be used as an alternative way to help with their clothes washing activities. With digital developments, laundry owners have started using cash book applications to make their work easier, such as recording orders, recording expenses and recording income. However, the cash book recording carried out in the cash book application is currently done manually, Previous users have used existing applications, because users feel uncomfortable with the appearance, such as colors that are uncomfortable to look at, fonts that are too small and menu buttons that are confusing. So that it encourages researchers to make a redesign of the application design. Based on these problems, a redesign of the laundry cash book application is needed which can provide comfort for users who will use the application. The method used to solve these problems uses the Lean Ux method. Using the Lean Ux method will make it easier for the author to get feedback faster. Designing a prototype laundry cash book application with an emphasis on User Interface (UI) and User Experience (UX) is the aim of this research. This research uses four stages of the Lean UX methodology, namely Declare Assumptions, Create a Minimum Viable Product, Run an Experiment and Feedback and Research to develop problem assumptions, prototype design, internal experiments and usability testing. Using the System Usability Scale approach, a prototype was created using the Adobe XD program with 20 respondents who received a score of 87 with adjective ratings excellent.
Analisis Komparasi User Experience Pada Aplikasi OVO dan DANA dengan Metode User Experience Questionnaire Adawiyah, Rabiatul; Oktadini, Nabila Rizky
Journal of Information System Research (JOSH) Vol 5 No 3 (2024): April 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i3.5098

Abstract

The development of digital wallet technology, especially through smartphone platforms such as OVO and DANA, has changed the financial transaction landscape significantly. Both applications function as digital payment tools, but they have differences in features, layout, colors and performance. User experience (UX) is the basis of research because it is a crucial factor in the success of a product or service. By comparing the two applications through UEQ, we can provide valuable insight into the strengths and weaknesses of each platform, as well as provide a broader view of trends and best practices in user experience design in the digital payments industry, and hope to gain a deeper understanding of these aspects. -which aspects influence user satisfaction and how the two compare. The UEQ method will help identify the strengths and weaknesses of each application in terms of attractiveness, efficiency, perspicuity, dependability, stimulation and novelty. Thus, getting more comprehensive insights for application developers and other stakeholders to improve the quality of service and user experience of both applications. The User Experience Questionnaire (UEQ) questionnaire was given to 115 respondents. The results of the UEQ questionnaire on the OVO and DANA applications show positive evaluation aspects given to both applications. The mean value of the OVO application based on the aspects of attractiveness (1.99), efficiency (2.07), dependability (1.77), stimulation (1.79), novelty (1.75) obtained the "Excellent" category, perspicuity aspect (1.91) received the "Good" category. Meanwhile, the mean value obtained by DANA based on the aspects of attractiveness (2.10), perspicuity (2.23), efficiency (1.92), stimulation (1.94), novelty (1.64) obtained the "Excellent" category, the dependability aspect (1.59) obtained the "Good" category.
Augmented Reality Application as Interactive Learning Media Traditional Weapons using Unity AR Nafiz, Mohammad Fadhil Hardiansyah; Hamzah, Muhammad Luthfi; Saputra, Eki; Fronita, Mona
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5209

Abstract

Technological advancements have widely permeated Indonesian society, particularly in education. The challenges of globalization and modernization are expected to pose new challenges for the education sector in creating interactive learning media to support the interest and willingness to learn among the younger generation, who are already dominated by current technology. Therefore, innovative and engaging learning approaches are necessary for students to actively participate in the teaching and learning process. The use of Augmented Reality (AR) is said to foster creativity, partial imagination, and help control learning according to their preferred learning styles, allowing teachers to create learning environments tailored to students' cognitive styles. This research directly integrates augmented reality applications as a cultural arts learning media, where students are assisted in learning innovatively and can actively interact with traditional weapons in Indonesia virtually. This aids teachers in providing instruction on weapons without the need to fear the physical dangers of weapon use. The agile method is utilized to ensure that changes are embraced, and evolving requirements can be readily accommodated, providing clients with a guarantee of adaptability. The implementation of the augmented reality application has received a very positive response with a score of 85.75%, indicating that it is well-received by MTsN Gema students.
Implementasi Algoritma Apriori Menggunakan Cross-Industry Standar Process for Data-Mining Untuk Menentukan Pola Pembelian Obat Istifarsari, Maya; Ningrum, Leny Tritanto; Utari, Lis
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5263

Abstract

In the health sector, the availability of adequate medicines in pharmacies is very important in ensuring patients receive optimal care. The availability of drugs that is not well maintained can hamper the treatment process and have a negative impact on health services as a whole. The problem discussed in this research is the accumulation of drug stock caused by drug purchases that are not balanced with sales, causing losses to the pharmacy. Based on these problems, it can be stated that currently the pharmacy is not appropriate and effective in determining drug purchasing patterns. For this reason, it is necessary to determine drug purchasing patterns at pharmacies using the Apriori algorithm. This research aims to determine drug itemsets based on association rules so that these itemsets can be prioritized for stock in each purchase. This can also be displayed by an application prototype so that it is easier to get a combination of itemsets in determining drug purchases to help anticipate drug supply needs to be more efficient. . The final result of this research is a combination of itemsets in the form of drug items that meet the requirements for a minimum support value of 25% and a minimum confidence value of 60%, namely Methylprednisolone 4mg Novel and Paracetamol Mef with a support value of 41.57% and a confidence value of 62.50%. FG Troches and Paracetamol Mef with a support value of 25% and a confidence value of 100%, as well as Metformin 500MG Hj and Sanmol Tab with a support value of 25% and a confidence value of 60%. The final result of the association rules was an evaluation test to measure the strength of the relationship between items using the lift ratio and produced a value above 1%, namely an average test value of 2.4%, so it can be stated that the a priori results are said to be valid or strong.
Prediksi Capaian Bulanan Pajak Daerah Kabupaten Bandung Barat Menggunakan Metode Logistic Regression Ramdhani, Muhammad; Umbara, Fajri Rakhmat; Ilyas, Ridwan
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5330

Abstract

Tax is the main source of income for the state, so that tax revenue is the biggest contributor to government agencies. However, the Regional Revenue Agency (BAPENDA) sometimes has difficulties in predicting regional monthly income. The data owned by BAPENDA is very important for estimating tax increases every month, but often these estimates are wrong. Therefore, research on predicting monthly tax ACHIEVEMENT is very helpful. Researchers consider the data mining method approach is a technique that can help BAPENDA find predictive patterns that are important for making tax increase decisions. sebumnya has predicted the results of the Ann method where for neurons 20 it produces an rmse prediction of 0.12. In this study, the logistic regression algorithm approach was used to predict regional tax achievements in West Bandung Regency. In addition, experiments were carried out to evaluate which variables affect the probability value.
Implementasi Metode K-Medoids Dalam Pengelompokan Kepuasan Masyarakat Terhadap Pelayanan Rumah Sakit Handayani, Tri; Bahri, Syamsul; Kasliono, Kasliono
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5331

Abstract

Service is an effort made to meet customer's direct needs with the aim of helping their needs. One of the institutions that provides services in the health sector is a hospital. The public satisfaction survey aims to assess the level of public satisfaction with service quality to improve it. Assessment of public satisfaction with service quality can vary. With these diverse survey results, a system is needed that supports grouping public satisfaction with services. In this research, the K-Medoids method is used to classify public satisfaction with services. The variables used for grouping consist of service requirements, service procedure systems and mechanisms, service time, costs/tariffs, product specifications, types of service, competence of implementers, behavior of implementers, quality of facilities and infrastructure, and complaint handling. This research resulted in different categories, such as very good, good, poor and not good. The criteria for measuring the results of K-Medoids using the Silhouette Coefficient from the results of 26 experimental data obtained the best evaluation results with a value range of 0.9 – 1.00 which is included in the criteria for a strong structure with total cluster of 4. The results of 400 data that have been implemented into the web-based system on the 26 experimental data described above, from the results of each cluster for each iteration it can be concluded that the community's satisfaction with the services at RSUD Dr. Soedarso Pontianak, from the sum of the results of 9.365 cluster members from all iterations, is in cluster 4 with the very good category.
Analisis Penerimaan Pengguna E-Wallet DANA Menggunakan Metode TAM dan Delone Mclean Sari, Gusmelia Puspita; Salisah, Febi Nur; Rozanda, Nesdi Evrilyan; Afdal, M; Jazman, Muhammad; Marsal, Arif
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5334

Abstract

The industrial revolution 4.0 motivates advances in information technology through the idea of ​​the internet of things (IoT). One form of implementing the internet of things is the use of e-wallets as a payment medium. One e-wallet that is popular among users is the DANA application. The DANA application helps users make non-cash or cardless payments, making transactions easier and more practical. Despite the advantages offered, there are several problems in its implementation, such as delays when making transfers, not being able to top up and losing balance. Therefore, using the TAM and Delone Mclean approach, this research aims to analyze user acceptance of the DANA application as an effort to see what factors make the DANA application able to be accepted and used by many users. This research was conducted on DANA application users who live in Pekanbaru City with a sample size of 100 respondents. The research uses quantitative methods by distributing questionnaires online. The data that has been collected is processed first using Microsoft Excel, then continued using SmartPLS 4 to analyze PLS-SEM. From hypothesis testing, the results obtained were that seven hypotheses were accepted and declared positive and significant, while one hypothesis was rejected because it did not show a significant relationship.
Analisis Sentimen Terhadap Ulasan Pengguna Pada Aplikasi BCA Mobile Menggunakan Metode Naïve Bayes Al Hakim, Muchammad Gamma; Irwiensyah, Faldy
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5343

Abstract

Technological developments have made the payment process easier, which has resulted in a plethora of smartphone applications. As mobile phones become more prevalent, commercial and public organizations are looking to improve the services they provide by implementing mobile-based solutions. The banking industry has seen tremendous expansion, as evidenced by the use of mobile banking solutions by companies such as BCA Bank. Especially in the midst of the pandemic, the BCA Mobile app is an important advancement in online banking that provides benefits and convenience to individuals who frequently transact online. Bank BCA can continue to offer the most useful features to customers while proactively improving services that are currently lacking. This study emphasizes the importance of improving sentiment analysis techniques to understand customer feedback more fully and provide better mobile banking services. This study uses the Naïve Bayes approach to analyze user sentiment towards the BCA Mobile application on the Google Play Store by finding and categorizing user reviews based on the sentiment they exhibit i.e. positive, negative, or neutral is the objective of this study. Through online data mining, 2000 user review data were collected on January 11, 2024, resulting in 1173 sentiments, 163 positive reviews and 1010 negative reviews in total. The Naïve Bayes algorithm produced an accuracy of 86.83%, precision of 52.78%, and recall of 46.91%.

Page 44 of 76 | Total Record : 754

 42   43   44   45   46 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol 7 No 1 (2025): Oktober 2025 Vol 6 No 4 (2025): Juli 2025 Vol 6 No 3 (2025): April 2025 Vol 6 No 2 (2025): Januari 2025 Vol 6 No 1 (2024): Oktober 2024 Vol 5 No 4 (2024): Juli 2024 Vol 5 No 3 (2024): April 2024 Vol 5 No 2 (2024): Januari 2024 Vol 5 No 1 (2023): Oktober 2023 Vol 4 No 4 (2023): Juli 2023 Vol 4 No 3 (2023): April 2023 Vol 4 No 2 (2023): January 2023 Vol 4 No 1 (2022): October 2022 Vol 3 No 4 (2022): Juli 2022 Vol 3 No 3 (2022): April 2022 Vol 3 No 2 (2022): Januari 2022 Vol 3 No 1 (2021): Oktober 2021 Vol 2 No 4 (2021): Juli 2021 Vol 2 No 3 (2021): April 2021 Vol 2 No 2 (2021): Januari 2021 Vol 2 No 1 (2020): Oktober 2020 Vol 1 No 4 (2020): JULI 2020 Vol 1 No 3 (2020): April 2020 Vol 1 No 2 (2020): Januari 2020 Vol 1 No 1 (2019): Oktober 2019 More Issue