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All Journal JISTECH: Journal of Information Science and Technology Jurnal Teknologi dan Manajemen Informatika JUSIFO : Jurnal Sistem Informasi INFORMAL: Informatics Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Sistem Informasi dan Aplikasi JSiI (Jurnal Sistem Informasi) JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) Building of Informatics, Technology and Science G-Tech : Jurnal Teknologi Terapan JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Aiti: Jurnal Teknologi Informasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pendidikan dan Teknologi Indonesia International Journal Software Engineering and Computer Science (IJSECS) The Indonesian Journal of Computer Science
Sanglise, Marlinda
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Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering

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ANALISIS PENILAIAN KUALITAS WEBSITE SHOPEE TERHADAP KEPUASAN PENGGUNA MENGGUNAKAN METODE WEBQUAL 4.0 Ubaydillah, Ubaydillah; Sanglise, Marlinda; De Kweldju, Alex
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 3 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i3.5735

Abstract

Dengan berkembangnya teknologi seperti saat ini menghadirkan inovasi baru dalam melakukan transaksi pembelian yaitu hadirnya e-commerce. Shopee adalah salah satu e-commerce saat ini yang memiliki banyak pengguna. Tercatat 2,3 Miliar pengunjung pada tahun 2023. Faktor apa sehingga menjadikan shopee menjadi e-commerce dengan pengunjung terbanyak pada tahun 2023. Penelitian ini bertujuan untuk menganalisis situs web Shopee dari sudut pandang pengguna dan melihat  nilai kepuasan pengguna. Metode yang digunakan pada penelitian ini adalah metode webqual 4.0. dengan teknik pengumpulan data menggunakan Kuesioner. Penelitian ini menggunakan metode pengumpulan data, penyampaian data, dan penarikan kesimpulan untuk melakukan analisis data. Kesimpulan dari penelitian ini adalah pada website shopee dalam penelitian ini variabel Usability yang mempunyai nilai tertinggi yaitu mencapai 43%,  Service Quality 27%, dan Information Quality 8%. Dari data ini dapat ditarik kesimpulan bahwa Usability atau Kegunaan lah yang menjadi faktor yang paling menonjol dari website shopee ini, sedangkan untuk Information Quality atau kualitas informasi yang diberikan masih kurang dan  harus dilakukan peningkatan pelayanan, karena pada penelitian ini hanya memperoleh nilai sebesar 8% jauh dari Usability dan Service Quality. Untuk keseluruhan dari kualitas website shopee memperoleh nilai 78%.
HOW THE PERCEIVED ENJOYMENT EFFECT M-PAYMENT ADOPTION IN WEST PAPUA PROVINCE: DELONE AND MCLEAN INFORMATION SYSTEMS SUCCESS MODEL Setiawati, Putri Eka; Inan, Dedi I.; Wurahrah, Rully Novie; Juita, Ratna; Sanglise, Marlinda
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 3 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i3.5738

Abstract

M-payment is a form of adaptation in payment systems through digital technology. This study aims to determine the influence of perceived enjoyment as a complementary factor to the DeLone and McLean (DM) Information System Success Model of m-payment adoption level in West Papua Province. A total of 244 valid respondents were obtained via a questionnaire using purposive sampling technique and analyzed using PLS-SEM. The results showed that out of eleven hypotheses, eight were accepted, and three were rejected. The result show that the Perceived Enjoyment (PE) significantly influences the m-payment adoption level in West Papua Province. However, service quality is not a determinant of m-payment adoption levels in West Papua Province. Additionally, system quality not a determinant on user satisfaction of the technology. A post-hoc evaluation was also conducted using gender and age as control variables, indicating that the adoption levels varied among the control variable groups. This provides significant insights both theoretical and practical which are discussed in discussion and conclusion section.
PREDICTING THE CHARACTERISTICS OF DRIVER’S LICENSE APPLICANTS AT SATPAS POLRESTA MANOKWARI USING HIERARCHICAL MULTIPLE REGRESSION Sahetapi, Merlyn Florensia; Inan, Dedi I; Sanglise, Marlinda; Juita, Ratna; Baisa, Lorna Y
Jurnal Sistem Informasi Vol 11 No 2 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v11i2.9056

Abstract

This research aims to predict the characteristics of driver's license (SIM) applicants at the SATPAS (Driver’s License Issuance Unit) Polresta Manokwari using Hierarchical Multiple Regression analysis. The study explores six key variables: gender, age, occupation, city, type of driver's license, and type of application, as predictors of applicant characteristics. The analysis was conducted using SPSS version 29, with data collected from the population of driver's license applicants since 2023. Three models were tested, with Model 3 being identified as the best predictor, explaining 7% of the variance in applicant characteristics (R² = 0.070). This model incorporates the variables of age, occupation, city, and type of application, while gender and driver's license class were found to have no significant individual impact. The partial t-test results show that age, occupation, city, and type of application significantly influence applicant characteristics, with negative regression coefficients indicating that an increase in these variables leads to a decrease in the predicted characteristics of SIM applicants. The study highlights practical implications for SATPAS, suggesting that service processes could be improved by considering demographic factors such as age and occupation in order to optimize resource allocation and reduce service complexity. However, the study has several limitations. The use of secondary data limits the completeness and accuracy of the analysis, and the limited number of variables results in a narrow interpretation of the factors influencing SIM applicants. Additionally, the model explains only a small portion of the variance in applicant characteristics, suggesting that other unmeasured factors, such as education level or driving experience, may play a more significant role. Furthermore, the findings are not generalizable to other regions, as local conditions may impact license application patterns. Future research should address these limitations by collecting primary data, expanding the range of variables, employing more sophisticated analytical methods, and exploring other regions. This would provide a more comprehensive understanding of the factors affecting driver's license applicants and contribute to enhancing the quality of SIM issuance services in Indonesia. Keywords: Driver's License, Prediction, Hierarchical Multiple Regression, Applicant Characteristics
Determinants of User Satisfaction with a Mobile Application Using the Extended Webqual 4.0 Method and Structural Equation Modelling: A Case of the PLN Mobile Application Saputra, Andi; Inan, Dedi I.; Juita, Ratna; Sanglise, Marlinda; Indra, Muhamad
JUSIFO : Jurnal Sistem Informasi Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v10i1.23051

Abstract

In the era of rapid technological growth, people increasingly expect convenience in all aspects of life, including how they interact with public services. The PLN Mobile application, developed by PT PLN (Persero), aims to facilitate access to information and services for the community. However, many users have provided low ratings and negative feedback. The purpose of this research is to analyze the factors influencing user satisfaction with the PLN Mobile application, using the Webqual 4.0 method. A total of 101 respondents were selected using a purposive sampling technique, and the data were analyzed using Structural Equation Modeling (SEM). The findings reveal that Usability, System Quality, Information Quality, and Interaction Quality significantly affect user satisfaction, while Service Quality does not. This indicates that the application meets most user expectations, though there is still potential for further improvement. These findings offer theoretical contributions to the Webqual 4.0 method and practical insights for developers to enhance the application and improve user satisfaction.
Dissatisfaction of a Mobile-Based Application from Different Platforms Using Naïve Bayes for Sentiment Analysis and LDA for Topic Modelling Ohoilulin, Anastasya; Inan, Dedi I; Juita, Ratna; Sanglise, Marlinda
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5729

Abstract

A mobile application that is built and runs on different platforms, such as iOS (Apple App Store) and Android (Google Play Store), may not necessarily have the same user satisfaction (dissatisfaction) reviews understood by both user segments. This is due to, for example, the differences in the technology used, which ultimately result in different user behaviors. This can be observed from the average ratings on each platform, even though it is the same application. Therefore, this research aims to provide a foundation for the assumptions made. The case study used is the Satu Sehat mobile application, a widely utilized health service application. Text mining methods: sentiment analysis using Naive Bayes and topic modeling using Latent Dirichlet Allocation (LDA) were chosen due to their relevance to the research objectives. A total of 21,750 reviews from the Google Play Store and 7,350 reviews from the Apple App Store were collected using scraping techniques. The results showed that sentiment analysis model on negative sentiment in the Apple App Store excelled with a precision of 93%, recall of 93%, and F1-score of 95%, while in the Google Play Store it had a precision of 82%, recall of 87%, and F1-score of 85%. However, the performance of the positive sentiment model in the Apple App Store was very low, with a precision of 63%, recall of 33%, and F1-score of 43%, compared to the Google Play Store which had a precision of 78%, recall of 71%, and F1-score of 74%. This indicates that a higher level of dissatisfaction is observed in the Apple App Store compared to Android. These results are consistent with the average ratings of the application on both platforms. Topic modeling results, which presented 15 topics from each platform, showed similar common issues such as login, OTP verification, and data input errors on both platforms. However, reviews of the Satu Sehat running on the Apple tend to be more negative compared to the one of Android. Therefore, improving the application quality of the Apple platform is more expected to meet user expectations and enhancing the overall rating as in the Andrond one.
Sistem penilaian kinerja pegawai di kantor Kementerian Agama Provinsi Papua Barat menggunakan metode Self Organizing Map (SOM) Jubita, Jubita; Suhendra, Christian Dwi; Sanglise, Marlinda
AITI Vol 21 No 1 (2024)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v21i1.96-116

Abstract

A government agency requires employees who have competence and good performance. Various factors affect performance between the abilities of other individuals and the agency environment, including the office of the Ministry of Religion in West Papua Province. However, the performance assessment process still needs to be better for making assessment decisions and is still subjectively based. Those things affect the employee's assessments. For example, employees cannot complete work according to predetermined targets and must be more careful in carrying out the work. So, to facilitate this assessment, an accurate calculation application is needed. A Self Organizing Map (SOM) is used to sort data in a group with similar data that are close to each other. Using the R (programming language) and R studio as the required application platform, we can calculate values and form them into three clusters: very good, quite good, and poor. Then, from the calculation results, 55 employees, with a percentage of 42%, match cluster with quite good performance, 29 employees, with a percentage of 22%, are in cluster with poor performance, and 48 employees, with a percentage of 36%, are in cluster with very good performance.
Evaluasi kualitas website e-learning UNIPA menggunakan metode Webqual 4.0 Yang, Ester Deborah; Baisa, Lorna Yertas; Sanglise, Marlinda
AITI Vol 21 No 2 (2024)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v21i2.285-297

Abstract

Computer and internet technology advancement has prompted higher education institutions to utilize online services such as e-learning in teaching and learning activities. This research aims to measure the quality of the University of Papua (UNIPA) e-learning website from the user's perspective by employing the WebQual 4.0 approach, which encompasses the dimensions of usability, information quality, service interaction, design appearance, and user satisfaction. This study is expected to obtain specific insights to enhance the effectiveness and convenience of website usage, supporting UNIPA's progress in digital education. Based on 200 student respondents, it was found that UNIPA's e-learning website excels in information quality with an average score of 4.2 and significantly influences user satisfaction. Ease of use and design appearance are also strengths, with scores of 3.9 and 3.7, respectively, and have a significant impact. However, service interaction still needs improvement, with a score of 3.4, although it has a significant influence. Overall, user satisfaction is reasonably good, with a score of 3.8, but improving service interaction needs to be addressed by UNIPA's management. These findings illustrate user needs and serve as a basis for development to enhance the efficiency and effectiveness of online learning.  
Apa Yang Memotivasi Seseorang Mengakses Aplikasi Mobile Laporkitong? Perspektif Teori Uses And Gratification (U&G) Dengan PLS-SEM Azizah, Putri W; Inan, Dedi I; Sanglise, Marlinda
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 1 (2024): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i1.745

Abstract

Government Agencies BAPPEDA In Province Of Western New Guinea Utilizes A Technology By Making A Mobile Application Laporkitong Which Useful To Inform Incompatibility Of Using Soil. The Youth Laporkitong Application And Lack Of Knowledge Regarding This Application Made A Problem In Use. So That, It Is Necessary To Held An Analysis Why Individual Wants To Access Laporkitong Application By Using Uses And Gratification (U&G) Theory In Order To Maximize Its Function. In This Study, It Is Found A Consented Hypothesis Namely H5, H7, H8, H9. While A Rejected Hypothesis H1, H2, H3, H4, H6, H10. From This Study It Can Be Concluded That Motivating People To Intent Of Using Laporkitong Application Are Exposure, Social Sharing, And Affection. Then, Towards Intention Of Continuing By Using Application Is Social Sharing Variable. Also, Things Which Need To Repair Is A Prove That Not Influent To Intention   Of Using Are Information Seeking, Entertainment And Intention Of Continuing Consume Are Information Seeking, Entertainment, Exposure, And Affection.
Analisis Peramalan Harga Telur Ayam Ras Dengan Menggunakan Metode SARIMA Hakim, Ilham Luqman; Sanglise, Marlinda; Suhendra, Christian Dwi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7610

Abstract

Eggs are a widely favored source of animal protein. One commonly consumed type is chicken eggs. Besides being easy to prepare, a notable advantage of chicken eggs is their affordability compared to other sources of animal protein. However, chicken eggs are subject to price fluctuations at specific times, such as religious holidays. These fluctuations can lead to losses for both producers and consumers. One way to address this issue is by forecasting. Forecasting is crucial as it provides estimated price information for the future. With this information, producers and consumers can prepare appropriate strategies to cope with price changes. The price of chicken eggs fluctuates periodically, thus the method employed in this research is Seasonal Autoregressive Integrated Moving Average (SARIMA). SARIMA is a forecasting method specifically used for data exhibiting seasonal patterns. Based on the results of this study, the best SARIMA model obtained is , demonstrating excellent performance with an RMSE value of 1491.30 and a MAPE of 3.40%. From this model, forecasted prices of chicken eggs in the traditional market of Manokwari city for the next 12 months are obtained, spanning from March 2024 to February 2025. According to the forecast results, the price of chicken eggs is expected to rise in March to June 2024 and December 2024 to January 2025.
Implementasi Naïve Bayes pada Sistem Pakar untuk Deteksi Dini Penyakit Liver Asri, Windi Fahmi; Sanglise, Marlinda; Suhendra, Christian Dwi
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.34710

Abstract

Liver health is very important for the human body. The liver as an organ that has the main task of neutralizing toxins in the body makes toxins that have been entering through our bodies from food or the environment can be neutralized by the liver. Based on the results of interviews conducted online to dr. Felix who works at Bhayangkara Hospital, one of the problems that occurs in the medical world is that people who are not medically trained if they experience symptoms of liver disease do not understand the ways to overcome them or the solution. If ignored, liver problems can get worse and more difficult to treat. Therefore, to overcome these problems, development is carried out by creating an expert system that can detect liver disease early by implementing the Naïve Bayes Method on the expert system. The expert system was built using the Rapid Application Development (RAD) development method. By making a design consisting of use cases, activities, class diagrams, database design and user interface design. Implementation in this expert system uses the PHP programming language and MySQL database. After the system is successfully created, the system is tested using the blackbox testing method which shows that the functionality of the expert system is running well and testing the user acceptance test (UAT) by distributing questionnaires to respondents to get the percentage of feasibility of 76.7% with a suitable category for use
Co-Authors Alfredo, Boby Andi Saputra Anjani, Heni Artahsasta, Yosia Asri, Windi Fahmi Azizah, Putri W Baisa, Lorna Y Baisa, Lorna Yertas Christian Dwi Suhendra, Christian Dwi De Kweldju, Alex Dwi Pratiwi, Dinda Malika Dwi Suhendra, Christian Hakim, Ilham Luqman Heremba, Juleha Irianti I. Inan, Dedi Inan, Dedi I Inan, Dedi I. Inan, Dedi Iskandar Indra, Muhamad Indriawan, Muhammad Fikri Jubita, Jubita Julius P.P.Naibaho kala’lembang, Thesiana Kandami, Joshua Hans Lantang, Stefanie Stanly Mahulette, Tiara Yulesia Marini, Lion Ferdinan Marini, Lion Ferdinand Masturah, Emil Mombay, Abdul Malik Naibaho, Julius P.P. Naibaho, Julius Panda Putra Nofianti, Arin Nur Afifa, Ifa Ohoilulin, Anastasya Parma Hadi Rantelinggi Pilihantra, Ragil Rachmayani, Listia Ratna Juita Rumbarar, Natalia Christi Rumkabu, Sara Nelince Sahetapi, Merlyn Florensia Saputra, Helmi sawaki, gladys sawaki Setiawati, Putri Eka Syahriza, Alfi Toto, Irwan Moses Ubaydillah, Ubaydillah viradila aji, Resi delia Wahyu Akbar Wardania, Ivana Wurahrah, Rully Novie Y. Baisa, Lorna Yang, Ester Deborah