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E-Service Quality Analysis of the MyTelkomsel Application Using CSI, IPA, and PGCV Ananda Khoirunnisa; Dwi Rosa Indah; Ardina Ariani; Ari Wedhasmara; Naretha Kawadha Pasemah Gumay; M. Rudi Sanjaya; Mukhlis Febriady
ULTIMA InfoSys Vol 17 No 1 (2026): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v17i1.4497

Abstract

This study evaluates the e-service quality of the MyTelkomsel application in response to ongoing user concerns, particularly slow service response and the limited effectiveness of the automated support system. A structured questionnaire based on the five SERVQUAL dimensions was used and demonstrated strong validity and reliability. Data were collected from one hundred users in Java and Sumatera. The analysis combined three methods: the Customer Satisfaction Index, Importance Performance Analysis, and Potential Gain in Customer Value. The findings show that the application achieved a Customer Satisfaction Index score of 67.75 percent, indicating that users are generally satisfied but expect further improvement. The Importance Performance Analysis recorded a suitability level of 74.54 percent, with several attributes placed in the high-importance low-performance quadrant, including login security, chatbot speed, complaint handling, and personal data protection. The Potential Gain in Customer Value results indicate that chatbot-related attributes and transaction reliability provide the highest potential for increasing customer value. Overall, the study highlights specific service attributes that require priority enhancement to strengthen user satisfaction and service quality.
Peningkatan literasi digital perangkat desa melalui edukasi dan simulasi aplikasi digital desa di Desa Cempaka Kabupaten OKU Timur Allsela Meiriza; Putri Eka Sevtiyuni; Ken Dhita Tania; Ari Wedhasmara
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 9, No 3 (2026): Agustus
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v9i3.3397

Abstract

Perangkat Desa Cempaka, Kabupaten OKU Timur, masih mengandalkan sistem manual dalam administrasi kependudukan dan pelayanan publik, yang menimbulkan berbagai permasalahan seperti proses pembuatan dokumen yang lambat, risiko kehilangan dokumen, dan kurangnya transparansi. Oleh karena itu, kegiatan pengabdian ini dilakukan untuk memperkenalkan dan mengedukasi perangkat desa mengenai aplikasi digital desa sebagai solusi inovatif. Tujuannya adalah meningkatkan literasi digital serta kepercayaan diri perangkat desa dalam menggunakan teknologi untuk mendukung tugasnya. Metode pelaksanaannya meliputi ceramah, demonstrasi, simulasi, dan evaluasi. Hasil pre-test menunjukkan rata-rata nilai hanya 38,5, mengindikasikan ketidaktahuan peserta terhadap aplikasi digital desa. Setelah diberikan edukasi dan simulasi, terjadi peningkatan pemahaman yang sangat signifikan dengan nilai rata-rata post-test mencapai 86,2. Dengan demikian, kegiatan ini berhasil memperkenalkan solusi teknologi yang dapat mentransformasi sistem administrasi dan pelayanan desa menjadi lebih modern, akuntabel, dan terukur.
ANALISIS SENTIMEN MASYARAKAT PADA KOMENTAR INSTAGRAM TERHADAP PROGRAM PEMERINTAH KOTA PALEMBANG DALAM PENCAPAIAN SDG 6 MENGGUNAKAN ALGORITMA NAÏVE BAYES Keisha Angelina Tompunu; Ari Wedhasmara
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6992

Abstract

Sustainable development is the main focus of local governments in their efforts to improve community welfare, particularly through the achievement of Sustainable Development Goals (SDGs). One of these goals, SDG 6 (Clean Water and Sanitation), emphasizes the importance of access to clean water and proper sanitation for all. This study aims to analyze public sentiment towards the Palembang City Government's program in achieving SDG 6 based on comments on the Instagram platform. This study uses a quantitative approach with text mining and Natural Language Processing (NLP) techniques. The dataset used consists of 5,881 Instagram comments collected through crawling and scraping processes. The research stages include data pre-processing (cleaning, case folding, normalization, tokenizing, stopword removal, and stemming), sentiment labeling (positive, negative, and neutral), and classification using the Multinomial Naïve Bayes algorithm. The test results showed an accuracy rate of 80%, with the highest precision value in the negative class at 0.89 and the highest recall value in the neutral class at 0.97. Sentiment distribution shows that the majority of comments are neutral, reflecting the public's informative perception of issues related to clean water, sanitation, and flooding. The dominance of negative sentiment reflects continued public dissatisfaction with clean water services and drainage infrastructure, while positive comments show appreciation for improvements in government services. The results of this study confirm that social media sentiment analysis can be used as an evaluative tool to measure public perception and monitor progress toward achieving SDG 6 at the local level.
Beyond Traditional Models: Integrating EUCS, SERVQUAL, and UEQ in SeaBank Raihana Nabilatulrahmah; Dinda Lestarini; Iin Seprina; Ari Wedhasmara; Dinna Yunika Hardiyanti
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34297

Abstract

Research on digital banking satisfaction remains conceptually fragmented, as End-User Computing Satisfaction (EUCS), SERVQUAL, and User Experience Questionnaire (UEQ) reflect distinct evaluative paradigms that often produce inconsistent results when applied independently. This study develops and validates an integrated model capturing informational, service, system, and experiential determinants of satisfaction in a branchless digital banking context. Data from 212 active SeaBank users were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with a Two-Stage approach. The model explains 76.5% of the variance in user satisfaction. User experience is the strongest predictor, followed by system quality and information quality, while service quality is not statistically significant. The findings indicate an experience-centric evaluation structure, where affective and system-related factors outweigh traditional service dimensions. This study provides a unified empirical validation of EUCS, SERVQUAL, and UEQ, clarifying their hierarchical relationships and indicating the reduced relevance of service quality in fully digital environments. Practically, the results highlight the importance of UI/UX optimization, system reliability, and experiential design for enhancing user retention. The Gen Z-dominated sample and cross-sectional design limit broader generalization, suggesting the need for longitudinal and cross-context validation.
User Satisfaction Analysis on the Strava Application in Palembang City using the Usability Method Muhammad Hafiz Al Zaky; Apriansyah Putra; Ari Wedhasmara; Ken Ditha Tania
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6725

Abstract

This study aims to evaluate user satisfaction with the Strava application in Palembang through a usability approach. A quantitative research design was employed involving 100 Strava users as respondents. The study examined Learnability, Efficiency, Memorability, and Errors as usability dimensions influencing User Satisfaction. Data were collected through a structured questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software. The results indicate that all measurement indicators satisfied the required validity and reliability criteria. Hypothesis testing revealed that, individually, only the Errors dimension had a significant effect on user satisfaction, whereas Learnability, Efficiency, and Memorability did not show significant effects. However, when considered simultaneously, all usability dimensions collectively contributed to user satisfaction. These findings suggest that system stability and a low error rate are the primary factors influencing user satisfaction with the Strava application.
The Effect of Information Quality and Video Clipper Popularity on Users’ Trust in Information: An Elaboration Likelihood Model Approach Dafa Al Faris Anwar; Apriansyah Putra; Ari Wedhasmara; Rizka Dhini Kurnia
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6721

Abstract

The rapid growth of short-form video-based social media has transformed the way users consume information, enabling faster and more immediate access to digital content. One emerging phenomenon is video clipper content, which consists of short clips extracted from longer videos and presented in a concise format that may influence users' understanding of and trust in the information presented. This study aims to examine the effects of information quality and video clipper popularity on users' trust in information using the Elaboration Likelihood Model (ELM) as the theoretical framework. A quantitative research approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software. Data were collected through an online questionnaire from 150 respondents who had previously consumed video clipper content. The results indicate that information quality, representing the central route, does not have a significant effect on users' trust in information. In contrast, popularity, representing the peripheral route, has a positive and significant effect on users' trust in information. Collectively, the two variables explain users' trust in information with an R² value of 0.872, indicating substantial explanatory power. These findings suggest that, in the context of video clipper content consumption, users tend to base their trust more on popularity cues than on the quality of the information itself. This study highlights the importance for content creators and social media platforms to prioritize information credibility and quality in order to reduce the risk of user misunderstanding and the spread of misleading information.
User Experience Analysis of the Tomoro Coffe Application using the UEQ Method and SmartPLS Muhammad Farhan; Apriansyah Putra; Ari Wedhasmara; Pacu Putra
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6724

Abstract

The rapid development of digital technology has encouraged food and beverage service providers to offer mobile applications that deliver an optimal User Experience (UX). This study aims to analyze the User Experience of the Tomoro Coffee application using the User Experience Questionnaire (UEQ) and examine the influence of the six UEQ dimensions on User Experience using SmartPLS 4. A quantitative approach was employed involving 97 respondents who had used the Tomoro Coffee application. Data were analyzed using the UEQ Data Analysis Tool and SmartPLS 4.The UEQ results indicate that Dependability (1.702) falls into the Excellent category, while Efficiency (1.854), Perspicuity (1.795), and Attractiveness (1.635) are categorized as Good. Meanwhile, Stimulation (0.955) and Novelty (0.399) are categorized as Below Average. The SmartPLS analysis shows that all UEQ dimensions have a positive and significant effect on User Experience, with Dependability having the strongest influence, followed by Efficiency, Attractiveness, Perspicuity, Stimulation, and Novelty. The novelty of this study lies in the integration of UEQ and SmartPLS 4, enabling the evaluation to not only measure UX levels through UEQ benchmarks but also empirically validate the contribution of each UEQ dimension to User Experience. The findings provide a more comprehensive evaluation framework and serve as an empirical basis for determining application development priorities based on the most influential UX dimensions.
Analysis of User Satisfaction Factors for the FOTOYU Application using EUCS Method Revi Amelia Dwifa Futri; Apriansyah Putra; Ari Wedhasmara; Mira Afrina
SISTEMASI Vol 15, No 7 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Universitas Islam Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i7.6704

Abstract

The increasing adoption of digital technologies, particularly those powered by Artificial Intelligence (AI), has accelerated the development of applications aimed at improving service quality and user experience, one of which is the FotoYu application. This study aims to evaluate user satisfaction with the FotoYu application using the End-User Computing Satisfaction (EUCS) model, which comprises five dimensions: Content, Accuracy, Format, Ease of Use, and Timeliness. A quantitative research approach was employed using a survey method, with questionnaires distributed to 145 FotoYu users selected through purposive sampling. The collected data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS software. The results indicate that all measurement indicators satisfied the required validity and reliability criteria, confirming that the research instrument was appropriate for assessing user satisfaction. The structural model evaluation produced an adjusted R² value of 0.784, indicating that the five EUCS dimensions collectively explained 78.4% of the variance in user satisfaction, while the remaining 21.6% was attributable to factors outside the proposed research model. Furthermore, the effect size (f²) analysis revealed that Content had the strongest influence on user satisfaction, followed by Ease of Use, Format, Timeliness, and Accuracy. These findings demonstrate that the EUCS model is an effective approach for evaluating user satisfaction with the FotoYu application while providing valuable insights to support service quality improvement and enhance the overall user experience.
Pengaruh Penggunaan Media Sosial Instagram @ATRBPN_OKUS terhadap Pemenuhan Informasi Followers (Studi Kasus ATR/BPN OKUS) Muhammad Fakhri Nadrota Acta; Ari Wedhasmara; Rizka Dhini Kurnia; Mira Afrina
JURNAL PETISI (Pendidikan Teknologi Informasi) Vol. 7 No. 3 (2026): JURNAL PETISI (Pendidikan Teknologi Informasi)
Publisher : Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/jurnalpetisi.v7i3.5792

Abstract

ABSTRAK : Pemanfaatan media sosial sebagai sarana e-government semakin masif, namun efektivitas penggunaan Instagram @atrbpn_okus dalam memenuhi kebutuhan informasi masyarakat masih perlu dibuktikan secara empiris. Penelitian ini bertujuan untuk menganalisis pengaruh penggunaan Instagram @atrbpn_okus terhadap tingkat pemenuhan kebutuhan informasi pengikutnya (followers). Penelitian ini menggunakan metode kuantitatif dengan teknik purposive sampling, di mana penentuan batas sampel minimal menggunakan G*Power yang menghasilkan sampel akhir sebanyak 160 responden. Pengumpulan data dilakukan melalui penyebaran kuesioner daring berskala Likert 1-5, yang kemudian dianalisis menggunakan Structural Equation Modeling - Partial Least Squares (SEM-PLS) via SmartPLS. Hasil penelitian membuktikan bahwa penggunaan media sosial Instagram berpengaruh secara positif, sangat kuat, dan signifikan terhadap pemenuhan informasi dengan nilai koefisien jalur 0,924, p-value 0,000, dan t-statistic 66,997. Selanjutnya, perolehan nilai R-square sebesar 0,853 menegaskan bahwa variabel media sosial secara efektif mampu menjelaskan 85,3% dari total variasi pemenuhan kebutuhan informasi. Kesimpulannya, keberadaan akun Instagram @atrbpn_okus terbukti krusial dan sangat efektif sebagai instrumen pelayanan publik digital bagi masyarakat. Berdasarkan temuan tersebut, disarankan kepada pihak instansi untuk menjadikan hasil evaluasi empiris ini sebagai landasan strategis guna terus mengoptimalkan kualitas visualisasi konten, komunikasi dua arah, dan interaksi layanan pertanahan di masa mendatang.