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The Influence of Promotion, Service Quality, and Electronic Word of Mouth on Customer Loyalty through Customer Satisfaction on the Instagram Account @rooftopin.nesia Fauzan, Muhammad Fairuz; Wedhasmara, Ari; Tania, Ken Ditha; Putra, Apriansyah
Sistemasi: Jurnal Sistem Informasi Vol 14, No 4 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i4.5196

Abstract

The use of social media has become a key strategy in business development in the era of information technology. Rooftopin Café utilizes social media to build relationships with customers; however, its impact on customer loyalty remains uncertain. This study aims to analyze the influence of promotion, service quality, and electronic word of mouth (e-WOM) on customer loyalty, with customer satisfaction as a mediating variable. Using a quantitative approach, data were collected from 120 respondents—customers who have visited Rooftopin Café in Palembang and follow the Instagram account @rooftopin.nesia. The data were analyzed using SmartPLS. The results show that promotion, service quality, and e-WOM have a positive and significant effect on customer satisfaction. Furthermore, customer satisfaction has a positive and significant influence on customer loyalty. In addition, customer satisfaction is proven to mediate the relationship between service quality and customer loyalty, indicating complementary mediation. This implies that service quality affects customer loyalty not only directly but also indirectly through customer satisfaction.
Ekstraksi Pengetahuan dari Ulasan Aplikasi CapCut Menggunakan Metode Aspect-Based Sentiment Analysis dan Klasifikasi Ariyani, Ishlah Putri; Tania, Ken Ditha; Wedhasmara, Ari; Meiriza, Allsela
Jurnal Buana Informatika Vol. 16 No. 01 (2025): Jurnal Buana Informatika, Volume 16, Nomor 01, April 2025
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia is experiencing rapid technological development, especially in the use of the internet and editing platforms like CapCut. These platforms enable video editing on various devices; however, user satisfaction is not always guaranteed due to individual differences in experience. This research aims to identify user sentiment towards the CapCut application based on aspects, using an Aspect-Based Sentiment Analysis (ABSA) approach supported by Machine Learning algorithms for the aspect-based sentiment classification task. The algorithm used in the classification process is Support Vector Machine. The data used are reviews of the CapCut application from the Google Play Store, with a total of 22,668 data points. The results show that the Support Vector Machine (SVM) algorithm performs well in each aspect, with accuracy values of 0.88 for the feature aspect and 0.87 for the user experience aspect. The results of knowledge extraction are obtained in the form of XML, which contains user sentiment information on two main aspects: features and user experience.
Ekstraksi Pengetahuan dari Ulasan Aplikasi CapCut Menggunakan Metode Aspect-Based Sentiment Analysis dan Klasifikasi Ariyani, Ishlah Putri; Tania, Ken Ditha; Wedhasmara, Ari; Meiriza, Allsela
Jurnal Buana Informatika Vol. 16 No. 01 (2025): Jurnal Buana Informatika, Volume 16, Nomor 01, April 2025
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia mengalami perkembangan teknologi yang pesat, khususnya dalam penggunaan internet dan platform editing seperti CapCut. Platform ini memungkinkan pengeditan video di berbagai perangkat, namun kepuasan pengguna tidak selalu terjamin karena perbedaan pengalaman individu. Penelitian ini bertujuan untuk mengidentifikasi sentimen pengguna terhadap aplikasi CapCut berdasarkan aspek.Dengan menggunakan pendekatan Aspect-Based Sentiment Analysis (ABSA) yang didukung oleh algoritma Machine Learning untuk tugas klasifikasi sentimen berdasarkan aspek. Algoritma yang digunakan dalam proses klasifikasi adalah Support Vector Machine. Data yang digunakan adalah ulasan aplikasi CapCut dari Google Play Store sebanyak 22.668 data. Hasil penelitian menunjukkan bahwa algoritma Support Vector Machine (SVM) memiliki performa yang baik untuk masing-masing aspek dengan nilai akurasi untuk aspek fitur 0,88 dan aspek user experience 0,87. Hasil ekstraksi pengetahuan yang diperoleh berupa XML yang memuat informasi sentimen pengguna terhadap dua aspek utama, yaitu fitur dan user experience. 
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.