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Combating Malaria Through E-SISMAL: How Perceived Quality, Perceived Ease of Use, and Perceived Usefulness Impact Performance? A Case of West Papua Province Chandra Leonard Kandami; Dedi I. Inan; Ratna Juita; Muhammad Indra
Jurnal Sistem Informasi Vol. 21 No. 2 (2025): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jsi.v21i2.1516

Abstract

Malaria remains a serious health threat in Indonesia, particularly in the West Papua Province. To address this, the Indonesian Ministry of Health developed the Malaria Surveillance Information System (E-SISMAL) to monitor and prevent the disease. However, the effectiveness of this system needs to be evaluated to determine how well it performs in addressing the intended problem. This study aims to investigate the system’s performance by integrating the Task-Technology Fit (TTF), Technology Acceptance Model (TAM), and DeLone & McLean Information Systems (D&M IS) Success models. Data from 108 government health clinics in West Papua Province were collected using questionnaires and analyzed using a partial least squares structural equation model (PLS-SEM). The findings revealed that both service quality (p = 0.035) and ease of use (p = 0.014) significantly influenced user satisfaction (R² = 38.4%), which subsequently affected system performance (p < 0.000, R² = 11.6%). However, information quality and usefulness were not primary concerns for the health clinics in this context. Given these results, it is unsurprising that malaria prevention efforts in this region remain challenging. These findings raise questions about the alignment of the developed system with its objectives, suggesting that it may need reassessment and reconfiguration to achieve its overarching goals. The study concludes with implications and future research directions.
Analisis Faktor- Faktor Penentu Efektifitas Pemanfaatan Integrasi Meta AI Dalam Sosial Media Whatsapp: Pendekatan Expectation Confirmation Timoti James Kaway; Ratna Juita; Dedi I. Inan
Jurnal Ilmiah Informatika Komputer Vol. 30 No. 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2025.v30i2.14558

Abstract

Penelitian ini mengkaji faktor-faktor yang berkontribusi terhadap integrasi yang efektif dari teknologi Generative Artificial Intelligence (GenAI) ke dalam penyampaian pesan di media sosial. Meskipun pemanfaatan AI dalam komunikasi digital semakin berkembang, dan banyak digunakan dalam komunikasi digital, kajian yang membahas persepsi pengguna dan faktor-faktor yang mendukung integrasi yang efektif ke dalam pesan media sosial, khususnya melalui pendekatan Konfirmasi Harapan, masih jarang ditemukan. Penelitian ini bertujuan mengidentifikasi faktor-faktor kunci yang mempengaruhi keberlanjutan penggunaan GenAI dalam strategi komunikasi media sosial Meta (Instagram, WhatsApp, Messenger) dan menguji hubungan antar variabel Expectation Confirmation Theory (ECT) yang diperluas. Penggunaan pendekatan kuantitatif berbasis ECT, data dikumpulkan melalui survei daring terhadap 131 responden dan dianalisis menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM). Hasil menunjukkan bahwa Continuance intention memiliki koefisien determinasi tertinggi (R² = 0,464). Perceived Usefulness (R² = 0,41; p < 0,001) dan Satisfaction (R² = 0,38; p < 0,001) berpengaruh langsung dan signifikan terhadap continuance intention, diikuti Perceived Enjoyment (R² = 0,33; p < 0,01) dan Perceived Ease of Use (R² = 0,27; p < 0,05). Temuan ini menekankan pentingnya kesesuaian antara kinerja GenAI dan harapan pengguna dalam menciptakan pengalaman komunikasi digital yang bernilai. Studi ini memberikan wawasan strategis bagi praktisi komunikasi dan pengembang AI untuk memperkuat adopsi teknologi GenAI di ranah media sosial.
E-Government Service for Driving Digital Creative Economy in Developing Region: Perspective of Technology Readiness Index and PLS-SEM Nanes Fitri Rahmawati; Dedi I. Inan; Ratna Juita; Muhamad Indra
Applied Information System and Management (AISM) Vol. 8 No. 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.45514

Abstract

E-government plays an important role in digital economic transformation by improving access to public services and driving economic growth. One implementation in West Papua Province is Rumahekraf, a digital marketing platform for creative economy players in the local region. However, the adoption of this platform is still low, and not many studies have examined factors that influence public acceptance of this service. Therefore, this study aims to identify factors that contribute to and inhibit users' intentions to adopt this platform in West Papua. We combine the Technology Readiness Index (TRI) and Technology Acceptance Model (TAM) to understand this phenomenon. Data was gathered via an online survey utilizing Google Forms, consisting of 157 merchants/business owners. The information was examined employing Partial Least Squares Structural Equation Modeling (PLS-SEM). The research indicates that innovativeness, perceived ease of use (PEOU), and facilitating conditions play an important role in increasing users’ intention to adopt Rumahekraf (R² = 59.4%). Additionally, PEOU also contributes to increased perceived usefulness (PU) (R² = 41.1%), which in turn strengthens the benefits perceived by users (R² = 55.7%). Optimism significantly affects PEOU but not usefulness. Meanwhile, insecurity and discomfort were not found to be major barriers to the adoption of this platform.   This research provides insights for local government and platform development in improving the effectiveness of e-government implementation in West Papua by providing more adequate infrastructure and increasing public trust in the platform.