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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
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Analisis User Experience Pada Aplikasi Mobile Alfagift dengan Menggunakan Metode Heart Metrics Mulyadi, Mulyadi; Meiriza, Allsela; Oktadini, Nabila Rizky; Putra, Pacu; Sevtiyuni, Putri Eka
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.v5i3.4993

Abstract

Alfagift is a mobile-based application launched in 2015 by alfamart. Alfagift mobile application has 6 interesting features in the form of making it easier for users to get various benefits provided by the Alfagift application. The six features in question include Offer (Promo), Voucher, Catalogue, Messages, Store Locator, and Contact Us. As a loyal alfamart customer, you must have this application to get the benefits that have been provided. Plus, using the Alfagift application will get various other benefits. There are problems such as frequent failed transactions, no information about expiration dates , applications often experience technical problems such as bugs and not all people can use it because the interface is too complex. The purpose of the study is to analyse the user experience of Alfagift users in the form of 5 variables in Heart Metrics and suggest improvements for the Alfagift application in the future so that it becomes a better application. This study used 100 people in Palembang city, based on the answers from respondents, the results of 5 different variables were obtained in the form of Happiness getting a percentage of 73.13%, Engagement getting a percentage of 77.2%, Adoption getting a percentage of 76.8%, Retention getting a percentage of 72.93%, Task success getting a percentage of 76.26%, and overall getting a percentage of 75.26% so that it can be stated that the alfagift application is classified as good.
Peningkatan Minat Digital Skill Menggunakan Algoritma K-Medoids Clustering Pada Karyawan Zulfiana, Rizka; Hilabi, Shofa Shofiah; Nurapriani, Fitria; Huda, Baenil
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.v5i3.4994

Abstract

General Company for Printing Money of the Republic of Indonesia is one of the state-owned enterprises that prints banknotes and other official documents. Perum Peruri also wishes to gain more insight into the technology implemented in the company. The demand for a workforce skilled in the use of technology in the work environment continues to increase over time. Perum Peruri has 16 Digital Skill categories, each of these categories has a high, medium to the lowest interest. In this problem, the data taken has not been grouped, so there is a lack of information about the number of categories that have the highest to lowest interest. By analyzing the specialization data, it will help determine which categories need improvement. The categories in Digital Skills specialization can then be improved by using this information as a reference for designing improvement strategies. Research was conducted using clustering to determine the number of categories that Perum Peruri personnel are interested in. In this study, sales data in Excel format was analyzed, and clusters based on product sales data were created using the K-Medoids approach. Sales information obtained from secondary data that manages employee specialization. Using RapidMiner, the accuracy for the three clusters designated as highest, middle, and lowest based on the clustering results was ascertained. The first cluster of 16 items analyzed consisted of 7 items with the highest ranking, the second cluster had 5 items categorized as medium, and the third cluster had 4 items classified as the lowest. Based on the results, 4 items were categorized as low, indicating the need for a socialization approach to increase interest in the Digital Skill.
Sistem Monitoring Pekerjaan Proyek Menggunakan Metode Extreme Programming Prayoga, Mohamad Adrian; Huizen, Lenny Margaretta; Asmiatun, Siti
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.v5i3.5001

Abstract

Government agencies such as the Office of Public Works (PU) Bina Marga and Cipta Karya (BMCK) are in charge of managing and carrying out projects related to housing and road infrastructure development, maintenance, and oversight. There is a need to keep an eye on the road infrastructure projects going on at the Public Works Office of Bina Marga and Cipta Karya. Road building is slowed down, complicated, and prone to mistakes since the Public Works Office of Highways and Human Settlements does not yet have a framework in place to enable monitoring. The goal of this study is to develop a method for tracking road building progress that will make the process easier and faster. One development approach that streamlines the many phases of development to make it more adaptable and flexible is the Extreme Programming technique. This system is designed using UML(Unified Modeling Language) as a means to analyze and design the system. The test results using the Technology Acceptance Model (TAM) resulted in a value of 92.33%, which is considered very good and has met the expected criteria.
Sentiment and Topic Analysis of Aftermovie Piala Presiden eSports 2019 (Onic Esport) Setiawan, Ruben William; Rahadi, Abigail Rosandrine Kayla Putri; 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.v5i3.5036

Abstract

This research addresses the research problem of sentiment classification and topic analysis in the context of the Aftermovie Piala Presiden Esports 2019 (Onic Esport), employing the CRISP-DM methodology. Leveraging a dataset comprising 1830 posts, sentiment analysis was conducted on 191 posts using Vader and TextBlob algorithms, revealing the distribution of polarity values: 7.41% negative, 58.02% neutral, and 34.57% positive sentiments. Furthermore, the study evaluates the performance of classification algorithms, such as k-nearest Neighbors (k-NN), Support Vector Machine (SVM), and Decision Tree (DT), utilizing SMOTE. Notably, SVM demonstrated an accuracy of 90.34%, AUC of 0.995, precision of 99.91%, recall of 80.77%, and F-measure of 89.29%. Similarly, DT exhibited an accuracy of 94.83%, AUC of 0.950, precision of 92.12%, recall of 98.12%, and F-measure of 95.00%. K-NN displayed an accuracy of 92.83%, AUC of 0.972, precision of 98.01%, recall of 87.46%, and F-measure of 92.42%. The analysis also revealed frequently used words in the dataset, including 'onic' (127 occurrences), 'udil' (95 occurrences), and 'piala' (28 occurrences). This study sheds light on sentiment patterns and prevalent topics among esports enthusiasts, offering insights for content optimization and event management strategies.
Perancangan Sistem Informasi Perpustakaan SMP Berbasis Web Menggunakan QR-Code Nugroho, Ismail Adji; Umar, Rusydi
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.v5i3.5039

Abstract

The development of information technology is currently very fast and has become a necessity in all fields, one of which is information systems in school libraries. Many libraries in various schools, both public and private, still use conventional or manual methods to manage data in their libraries. Aisyiyah Bantul Unggulan Middle School is an Islamic education-based school that has a library that still uses conventional methods, namely the process of borrowing books still using a borrowing card and then entering it into Excel, so it takes quite a long time, besides making it difficult for library administration in managing books and searching for books. With the construction of this system, it is hoped that it can assist in the process of borrowing books, assist the library administration in managing book data and loading reports, and make it easier for students to obtain information. The method for developing this library information system uses the Waterfall method. So it makes it easier to complete the website development process because there are stages in this method starting from communication, planning, modeling, construction, to delivery, while for the system testing process using the black box testing method, the results obtained are that the system runs without there is a problem and the features work fine. With this system, it is hoped that it will provide significant benefits in assisting the book borrowing process by using QR-Code scans, assisting library administration in managing existing book data and assisting in creating reports and making it easier for students to obtain information on existing books.
Pengembangan Model Klasifikasi Sentimen Dengan Pendekatan Vader dan Algoritma Naive Bayes Terhadap Ulasan Aplikasi Indodax Zendrato, Agus Dirgahayu; Berutu, Sunneng Sandino; Sumihar, Yo’el Pieter; Budiati, Haeni
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.v5i3.5050

Abstract

Cryptocurrency trading applications such as Indodax have grown rapidly, the understanding of user sentiment towards the platform is still lacking, so it is interesting to analyze user sentiment towards the platform. To measure sentiment, this research proposes a combined approach of Vader and Naïve Bayes methods. The data used is a collection of user comments on the google play store platform related to user experience using Indodax. The Vader method is used to analyze sentiment directly from the comment text, while Naïve Bayes is adopted to improve accuracy in sentiment classification. The sentiment analysis process involves various steps, starting from data preparation, data pre-processing, labeling of training and testing data and performance evaluation of the Naive Bayes model. At the sentiment analysis stage with the Vader Sentiment method, the positive category obtained the highest percentage of 63.5%, followed by the neutral category at 18.9% and negative at 17.6%. Meanwhile, based on the performance evaluation of the Naïve Bayes model, the accuracy value is 78% while the highest precision value is achieved by the negative sentiment category at 80% and recall in the positive sentiment category at 44%.
Sentiment and Toxicity Analysis of Sport Event MotoGP Mandalika Circuit Using Cross-Industry Standard Process for Data-Mining 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.v5i3.5056

Abstract

This research identifies a research gap in understanding the impact of contextual factors on sentiment and toxicity within online discussions of sports events, focusing on the MotoGP event in Mandalika. By exploring how contextual nuances influence public sentiment and toxicity levels, this study aims to enhance the effectiveness of online discourse management and improve user experiences in digital platforms hosting event-related content. This research investigates the nuances of public sentiment and toxic language within textual data, specifically focusing on content videos of the MotoGP event held in Mandalika. Methodologically, the study embraces the CRISP-DM framework, facilitating structured data analysis, model development, and subsequent deployment. The findings reveal promising outcomes in terms of the performance of machine learning algorithms; notably, the k-NN algorithm attains an accuracy rate of 94.33%, precision of 96.48%, recall of 92.01%, f-measure of 94.19%, and an AUC score of 0.982. Similarly, the Support Vector Machine (SVM) demonstrates commendable accuracy, achieving 87.54%, precision of 99.53%, recall of 75.45%, f-measure of 85.82%, and an AUC score of 0.986. Furthermore, the toxicity analysis uncovers varying levels of harmful language, ranging from 0.01229 to 0.08933. These findings underscore the imperative nature of considering both sentiment dynamics and toxicity in managing online discourse effectively and enhancing user experiences across digital platforms. The sentiment analysis underscores the importance of understanding and effectively managing public emotions in the context of sports events like MotoGP. By acknowledging and addressing positive and negative sentiments, event organizers can better engage with their audience, mitigate potential issues, and ultimately enhance the overall experience for all involved.
Analisis Sentimen Masyarakat Terhadap Fenomena Childfree (Kehidupan Tanpa Anak) Pada Twitter Menggunakan Algoritma Naïve Bayes Erizal, Erizal; Hasan, Firman Noor
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.v5i3.5064

Abstract

Childfree is a phenomenon that occurs not only in the world but also in Indonesia. There are many negative and positive stigmas that arise regarding the phenomenon of living a life without children, especially in urban areas. The public's response to the childfree phenomenon, especially in urban areas in Indonesia, is varied, and is more influenced by various factors. In this research, we analyzed netizens' views on the childfree phenomenon using the Naïve Bayes method assisted by rapidminer tools to process text data collected via social media X. The aim of this research is to analyze and present data regarding public sentiment towards the childfree phenomenon in Indonesia. The results of the research found that 319 referred to negative sentiment, and only 181 referred to positive sentiment. The accuracy results produced by the Naïve Bayes algorithm were 95.02%. Showing that the childfree phenomenon is chosen by some netizens, especially in urban areas, because they want young people to focus on education and careers in order to make their lives more stable.
Design and Implementation of Coffeeshop Management System Prototype 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.v5i3.5065

Abstract

This research focuses on designing and implementing a coffee shop management system using the Rapid Application Development (RAD) methodology. Through meticulous planning, user-centric design, and rigorous testing, the system addresses the specific operational needs of coffee shops, including supplier management, inventory tracking, sales analysis, employee scheduling, and the optimization of coffee shop management through digital systems. Following the RAD methodology, the prototype design undergoes iterative stages such as requirement planning, user design, construction, and cutover. Integrating Geographic Information Systems (GIS) enhances functionality by providing spatial visualization of supplier and staff locations. Additional features such as menu management and equipment maintenance tracking contribute to operational efficiency. This study underscores the importance of technological solutions in streamlining coffee shop operations and optimizing decision-making. Future research will focus on refining the system based on user feedback and evolving business requirements to ensure its effectiveness.
Implementasi Metode WASPAS Pada Sistem Pendukung Keputusan Penilaian Kinerja Perawat Terbaik Pratama, Arya Yendri; Muttakin, Fitriani; Permana, Inggih; Zarnelly, Zarnelly; Marsal, Arif
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.v5i3.5068

Abstract

Hospitals are health service institutions that provide various services to the community, including inpatient, outpatient and emergency care. Hospitals as health service institutions require optimal nurse performance in providing quality services to patients. At XYZ Hospital, assessments and calculations are still carried out manually, often experiencing difficulties because in carrying out the assessment all the calculation data is carried out one by one, resulting in large errors and taking quite a long time to obtain the decision results and it is difficult to carry out rankings due to frequent assessment forms. scattered. There are 14 criteria for assessing nurse performance, namely loyalty/loyalty, work performance, responsibility, obedience/discipline, honesty, cooperation, communication, knowledge, competency I nurse (PK I), competency II nurse (PK II), competency III nurse (PK III), the presence of hand washing in the room, the quality of the work carried out by the person concerned, and the availability of ready-to-use facilities & infrastructure for the next shift. To obtain accurate performance assessment results, a decision support system was created using the WASPAS method. The WASPAS method is said to be appropriate for selecting the best nurses because it is ranked based on specified criteria values. It is hoped that the research carried out will help obtain effective results. In this research, the results obtained were that the best nurse at XYZ Hospital was the alternative with a score of 50,038 in the name of EET.

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