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DeLone and McLean Model Analysis of Success Factors of SIDEMANG Application in Palembang City Faris, Haninda Ammar; Wedhasmara, Ari; Putra, Apriansyah; Kurnia, Rizka Dhini; Bardadi, Ali; Fitri, Shofiyah
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.1894

Abstract

Indonesia is ranked 77th in the world in electronic-based government systems, especially the City of Plembang is ranked 89th regarding the evaluation of smart city improvement in Indonesia. One of the latest applications used in the past year is the SIDEMANG application, which is an information system that has the use and purpose of facilitating access to administrative services related to personal and agency licensing files online at the village and sub-district levels in Palembang city, but this is also not free from obstacles, especially internet signals. Therefore, an analysis is needed related to the implementation of Information Systems, to assess the success of applications that have been implemented, especially government digital services. DeLone and McLean Information System Success Model is used, to see the significant factors that cause the success of Information System implementation. The data analysis method used in this research is quantitative because the data collected is in the form of numbers and will be analyzed using the SmartPLS application statistical technique, using a sample size of 97 respondents. The results showed that the information quality factor was not significant to the intention or use of the application, the system quality factor was not significant to the intention or use of the application, the system quality factor was not significant to user satisfaction, the service quality factor was not significant to user satisfaction. Recommendations for the Palembang City Communication and Information Office are related to the evaluation and improvement of the SIDEMANG application using the DeLone and McLean Model analysis. In particular, improvements to the quality of information that can influence citizens to use the application, improvements to the quality of the system that can invite and satisfy users in using the application, and improvements to service quality factors on citizen satisfaction.
Analisis Faktor yang Mempengaruhi Minat Baca pada Aplikasi Komik Digital dengan Metode UTAUT (Studi Kasus: Webtoon) Annisa Tri Ning Tyas; Nabila Rizky Oktadini; Allsela Meiriza; Wedhasmara, Ari
KONSTELASI: Konvergensi Teknologi dan Sistem Informasi Vol. 4 No. 2 (2024): Desember 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/konstelasi.v4i2.10113

Abstract

Tahun 2024 merupakan era digital dimana perkembangan teknologi yang terjadi di dunia semakin pesat, termasuk di Indonesia dimana masyarakat semakin memanfaatkan teknologi dalam berbagai aktivitas termasuk membaca. Salah satu industri baca yang mengalami perubahan digital tersebut adalah komik, yang melahirkan istilah baru seperti "komik digital”. Salah satu aplikasi yang menawarkan berbagai jenis komik digital adalah LINE Webtoon, layanan komik digital asal Korea Selatan dan diluncurkan oleh LINE Corporation. Penelitian ini menggunakan metode UTAUT dalam menganalisis apakah minat baca aplikasi komik digital Webtoon di kalangan remaja Indonesia berusia 18-30 tahun dipengaruhi oleh performance expectancy, effort expectancy, social influence dan facilitating condition. Hasil analisis menggunakan tools SmartPLS, menyatakan bahwa performance expectancy, effort expectancy, dan social influence berpengaruh terhadap minat baca. Sedangkan facilitating conditions tidak menunjukkan pengaruh signifikan.
Analisis Faktor Kepuasan Pengguna pada Aplikasi Transportasi Online: Pengukuran dengan Metode EUCS dan UTAUT (Studi Kasus: Aplikasi Mobile Maxim) Anggraini, Nadia; Kurniawan, Dedy; Wedhasmara, Ari; Oktadini, Nabila Rizky; Sevtiyuni, Putri Eka; Rifai, Ahmad
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.36292

Abstract

One of the famous online transportation mobile applications in Indonesia is Maxim. The Maxim mobile application itself has been downloaded by 50 million users and has 1.94 million active application users in the world per week. Based on this data, an application retention rate of 3.88% per week was obtained. It can be said that the application retention rate is still low. One of the reasons for a low retention rate or a decrease in the number of loyal users is poor user experience. Therefore, analysis is needed using a user experience approach, so the user satisfaction model is an appropriate approach. This research aims to analyze user satisfaction factors for online transportation mobile applications with the adoption of the EUCS and UTAUT models. The use of this model includes the variables content, accuracy, format, ease of use, timeliness, and user satisfaction in the EUCS model with the variable performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioral intention contained in the UTAUT model. The data obtained was analyzed using the PLS-SEM technique using the SmartPLS 4 application. The results of this study stated that the variables of content, ease of use, and timeliness had a significant effect on user satisfaction, while accuracy and format had no significant effect. In addition, the variables performance expectancy, effort expectancy, and social influence have a significant effect on behavioral intention, while facilitating conditions show no significant influence on behavioral intention.
Analisis Faktor Penerimaan dan Penggunaan LinkedIn Menggunakan Model UTAUT 2 Rahmayuni, Septa; Indah, Dwi Rosa; Firdaus, Mgs Afriyan; Wedhasmara, Ari
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.37750

Abstract

LinkedIn functions as a job search site. LinkedIn users are spread across various regions of Indonesia including Palembang City. Based on ratings on the Play Store, LinkedIn has the lowest rating compared to similar job search applications and a search on LinkedIn by entering Palembang City as a location shows the number of users in Palembang City is lower than other cities. In user reviews there are complaints about verification issues that cause displeasure and rejection of the use of this application. To find out what factors influence acceptance and use of LinkedIn, it is necessary to analyze these factors. This research was conducted by testing several constructs in the UTAUT 2 model. The data analysis technique used is the PLS-SEM analysis approach. The results showed that facilitating conditions, hedonic motivation, and habit affect behavioral intention. On the other hand, facilitating conditions and habit affect use behavior.
Evaluation of community engagement on government youtube: Duration, title, dialogue, content, emotion Charolin, Nurhaliza; Wedhasmara, Ari
Journal of Business and Information Systems (e-ISSN: 2685-2543) Vol. 6 No. 1 (2024): Journal of Business and Information Systems
Publisher : Department of Accounting, Faculty of Business, Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36067/jbis.v6i1.234

Abstract

Di era digital yang semakin canggih, keterlibatan publik dalam media sosial pemerintah menjadi krusial. Tingkat kepercayaan masyarakat terhadap pemerintah mempengaruhi partisipasi mereka, di mana kepercayaan yang rendah dapat mengakibatkan penurunan partisipasi dan keengganan untuk menerima informasi dari pemerintah. Penelitian ini bertujuan untuk mengevaluasi faktor-faktor yang mempengaruhi keterlibatan publik di platform media sosial YouTube Diskominfo Palembang, termasuk durasi video, panjang judul, loop dialog, jenis konten, dan valensi emosional. Dengan menganalisis 148 video dari akun YouTube @diskominfopalembang, analisis regresi binomial negatif menunjukkan bahwa durasi video, panjang judul, dan jenis konten secara signifikan memengaruhi keterlibatan publik. Durasi video dan panjang judul berdampak positif pada jumlah suka dan penayangan, sedangkan jenis konten pendidikan dan dokumenter berpengaruh negatif pada jumlah suka. Kesimpulannya, penelitian ini menunjukkan bahwa faktor-faktor seperti durasi video, panjang judul, loop dialog, jenis konten, dan valensi emosional memiliki pengaruh signifikan terhadap tingkat partisipasi publik dalam video YouTube.
Sistem Informasi Geografis Pemetaan Menara Telekomunikasi dengan Pengecekan Jarak Menggunakan Metode Haversine Arba'i, Sultan; Wedhasmara, Ari; Fathoni, Fathoni; Putra, Apriansyah; Kurniawan, Dedy
Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 3 (2023): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v9i3.6219

Abstract

DISKOMINFO OKU Regency provides recommendations for the establishment of telecommunication towers. Then do the planning and arrangement of telecommunication towers. However, this is still done manually based on map visualization in printed books, so when changes occur, you have to reprint the book, and you have to re-plan with Microsoft Excel, which makes the process more difficult and time consuming. In addition, there is no digital tower information service causing a lack of information for tower providers, so that the construction of towers has not been properly organized. So the solution to this problem is to build a system that can manage data, can map telecommunication towers and can plan the need for shared towers for the next 5 years by taking into account population, cellular service users, traffic requirements, number of BTS and tower coverage radius, and can provides information on checking coordinates by applying the haversine method which is useful so that the construction of new towers can be properly arranged in the system, where the system is made based on a website with a design using the waterfall method. The results of this study are an application that can assist the process of planning and arrangement of towers, both visual maps, tower requirements, checking coordinates and so on, which is done computerized.
Pengaruh Knowledge Sharing Factor Terhadap Keberlanjutan Penggunaan E-Learning Pasca Covid-19: The Influence of Knowledge Sharing Factors on the Continuity of Using E-Learning Post-Covid-19 Ariyanti, Putri; Ditha Tania, Ken; Wedhasmara, Ari; Meiriza, Allsela
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): 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.v12i5.3382

Abstract

E-learning includes learning methods that use information technology and can be accessed via the internet, making it possible to learn remotely without face-to-face meetings. E-learning functions to implement knowledge management practices, especially in sharing knowledge. Studies on various knowledge-sharing factors influencing the adoption of e-learning in the post-pandemic context are still limited in the existing literature. Therefore, this study has the objective of developing an Expectation Confirmation Model by taking into account the factors of knowledge sharing (communication openness, personal trust, sharing motivation, use of technology, and perceptions of ease of use of technology) to test the viability of using e-learning, especially at Srivijaya University. This study uses the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to test the validity of the developed model. Study data was collected from active students at Sriwijaya University who used or are currently using e-learning in lectures. The results of this study show that knowledge sharing factors, including openness of communication, personal trust, motivation to share, usefulness of technology, and perceived ease of use of technology, are important factors in determining the continued use of e-learning services at Sriwijaya University.
Pengaruh Knowledge Management Factor Terhadap Keberlanjutan Penggunaan E-learning Elna Sari, Cici; Tania, Ken Ditha; Wedhasmara, Ari; Apriansyah Putra
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): 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.v12i5.3406

Abstract

E-learning adalah pemanfaatan teknologi informasi sistem pembelajaran. Fungsi e-learning menerapkan praktik manajemen pengetahuan (KM). Beberapa penelitian telah menyelidiki faktor-faktor tertentu yang mempengaruhi penerimaan pembelajaran melalui pembelajaran daring. Namun, kajian tentang faktor manajemen pengetahuan yang mempengaruhi keberlangsungan adopsi e-learning pada masa transisi pascapandemi relatif baru dan belum dilaporkan dalam literatur yang ada. Oleh karena itu, tujuan utama dari penelitian ini adalah mengembangkan Expectation Confirmation Model (ECM) dengan faktor KM (acquisition, sharing, implement and protection) untuk menguji keberlanjutan penggunaan e-learning khususnya di Universitas Sriwijaya. . Penelitian ini menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) untuk memvalidasi model yang dikembangkan. Data dikumpulkan dari 267 mahasiswa aktif Universitas Sriwijaya yang menggunakan atau sedang menggunakan e-learning dalam perkuliahan. Hasil penelitian ini menunjukkan bahwa faktor manajemen pengetahuan, dalam hal ini knowledge acquisition (KA), knowledge sharing (KS), knowledge application (KAP), dan knowledge protection (KP), merupakan faktor penting dalam menentukan keberlangsungan penggunaan layanan. e-learning di Universitas Sriwijaya.
Analisis Sentimen Layanan Kesehatan Klinik Yamet Komentar Instagram Dengan Naive Bayes Reina Salsa Kinanty; Ari Wedhasmara; Rizka Dhini Kurnia
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9394

Abstract

The rapid advancement of information technology has driven the healthcare sector to adopt digital platforms in order to enhance service efficiency and accessibility. Yamet Clinic Palembang, as a therapy center for children with special needs, has utilized social media as its primary communication channel, although its official website has not yet been fully optimized. The main issue addressed in this study is the lack of understanding regarding public perception of the clinic’s digital services. Therefore, this research aims to analyze public sentiment toward Yamet Clinic Palembang’s services through comments posted on its official Instagram account. The Naïve Bayes algorithm was selected due to its strong performance in text classification tasks involving limited datasets and low computational complexity. The research process includes text preprocessing, feature weighting using Term Frequency–Inverse Document Frequency (TF-IDF), and the application of the Synthetic Minority Over-sampling Technique (SMOTE) to balance data distribution among sentiment categories. The experimental results indicate that the developed model successfully classified public opinions into three categories—positive, neutral, and negative—with an accuracy rate of 70%. The combination of TF-IDF, Naïve Bayes, and SMOTE proved effective in capturing public perceptions of digital health services. Practically, the findings provide valuable insights for Yamet Clinic Palembang in developing a more adaptive digital communication strategy and theoretically contribute to the advancement of sentiment analysis research within the healthcare service context in Indonesia.
Analysis of User Satisfaction Levels in the Shopee PayLater System using the User Experience Questionnaire (UEQ) Aliyah Khofifah; Apriansyah Putra; Ari Wedhasmara; Mira Afrina
SISTEMASI Vol 15, No 5 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i5.6461

Abstract

The rapid advancement of information technology in the digital era has triggered significant changes across various aspects of life, including the e-commerce sector. This study aims to analyze the level of user satisfaction with the Shopee PayLater system using the User Experience Questionnaire (UEQ) method. The research was motivated by the increasing use of PayLater services in e-commerce and the importance of evaluating user experience to improve system quality. This study employed a quantitative method using the User Experience Questionnaire (UEQ) approach, which consists of six dimensions: attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. Data were collected through questionnaires distributed to 100 students from the Faculty of Computer Science at Sriwijaya University and analyzed using the UEQ Data Analysis Tools. The results indicate that Shopee PayLater achieved positive user satisfaction across all UEQ dimensions. The highest scores were obtained in perspicuity (2.03), efficiency (1.89), dependability (1.89), and attractiveness (1.66), indicating that Shopee PayLater is easy to understand, efficient to use, and capable of providing user comfort. Meanwhile, the stimulation (1.65) and novelty (1.56) dimensions still require improvement through feature development and service innovation to create a more engaging user experience. In addition, the benchmark results show that all dimensions fall within the excellent category and are included in the top 10% of benchmark results, indicating a very high-quality user experience. Based on these findings, it can be concluded that Shopee PayLater provides an excellent user experience overall. However, the stimulation and novelty aspects still need enhancement through feature innovation and interface improvements to make the service more attractive and less monotonous for users.