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All Journal Jurnal Ilmiah Informatika Komputer Applied Information System and Management JSiI (Jurnal Sistem Informasi) Journal of System and Computer Engineering Jurnal Sistem Informasi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Ratna Juita
Universitas Papua
Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media

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Sistem Manajemen Pembelajaran Lokal untuk Meningkatkan Pemahaman Belajar Mahasiswa Fridolin Febrianto Paiki; Alex De Kweldju; Ratna Juita
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 1 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i1.1818

Abstract

Sistem Manajemen Pembelajaran merupakan salah satu perangkat penting yang digunakan di sekolah dan kampus untuk meningkatkan kemampuan dan hasil studi siswa. Ketersediaan server web dan jaringan komputer yang cepat, handal, murah, dan mudah diakses serta dipadukan dengan Sistem Manajamen Pembelajaran atau Learning Management System (LMS) dapat membantu mahasiswa untuk mengikuti proses perkuliahan dengan lebih baik. Web server diimplementasikan menggunakan virtual machine (VM) Proxmox pada komputer di laboratorium komputer di program studi. Komputer yang digunakan memiliki spesifikasi standar (bukan server), seperti Intel Processor i3, HDD 256GB, dan memori 2GB. Kualitas web server diukur menggunakan Apache Bench dan Web Server Stress Tool. Hasil simulasi menggunakan Apache Bench diperoleh waktu yang diperlukan untuk menyelesaikan 1.000 concurrent request adalah sebanyak 13.823 milidetik. Meskipun belum optimal, hasil ini sudah mendekati kondisi ideal, yaitu kurang dari 10 detik. Server diimplementasikan secara virtual agar dapat dengan mudah dideploy ke dalam server lokal lainnya di fakultas-fakultas lain. Hasil penelitian menunjukkan bahwa kinerja server masih perlu ditingkatkan, baik dengan meningkatkan kinerja agar tercapai kondisi ideal mengingat kebutuhan mahasiswa dan dosen akan terus meningkat. Kualitas jaringan pun perlu diperhatikan, seperti penggunaan firewall, antivirus, dan aplikasi lainnya yang bisa mempengaruhi kualitas respon yang diterima oleh user. Diversifikasi media pembelajaran juga perlu digunakan agar hasil penelitian dapat juga mencakup kondisi dan protokol yang berbeda.
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.
Analisis Sentimen Berbasis Aspek pada Komentar YouTube tentang CoreTax Menggunakan Support Vector Machine dan Random Forest Nur Vadila; Josua Josen A. Limbong; Ratna Juita
Journal of System and Computer Engineering Vol 7 No 3 (2026): JSCE: July 2026
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v7i3.2722

Abstract

The implementation of the CoreTax Administration System (CTAS) by the Directorate General of Taxes has received diverse responses from the public, which are reflected in YouTube comments. This study applies Aspect-Based Sentiment Analysis (ABSA) to identify user opinions regarding CoreTax and compares the performance of Support Vector Machine (SVM) and Random Forest for sentiment classification. Data were collected through web scraping from three Youtube videos, yielding 1.527 valid comments after preprocessing. A rule-based method was used to classify comments into five aspects, namely system, performance, user-friendliness, tax services, and policy. The results indicate that the system aspect was the most frequently discussed (56,12%), while negative sentiment dominated the dataset (59,2%). The highest proportion of negative sentiment was found in the user-friendliness aspect (81,29%), followed by performance (76,44%). In model evaluation, Random Forest achieved better results than SVM, obtaining 0.80 accuracy, 0.84 precision, 0.75 recall, and 0.79 F1-Score. Overall, ABSA provides deeper insights into user perceptions and issues related to CoreTax implementation.
AN ANALYSIS OF THE FACTORS CONTRIBUTING TO THE FAILURE OF RIDE-HAILING ADOPTION IN DEVELOPING REGIONS THROUGH THE LENS OF THE DIFFUSION OF INNOVATION MODEL: A CASE STUDY OF OKE-JEK IN MANOKWARI REGENCY Roberth Yembise; Dedi Iskandar Inan; Ratna Juita; Muhamad Indra
Jurnal Sistem Informasi Vol. 12 No. 2 (2025)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v12i2.10960

Abstract

This study analyzes the use of the Oke-Jek platform as a ride-hailing service in developing regions. The objective of the study is to identify the factors that hinder the adoption of Oke-Jek as a ride-hailing service in such areas. Currently, the utilization of Oke-Jek remains limited, particularly in regions like West Papua, leading to a research gap regarding the adoption of this service in the area. This study employs the Diffusion of Innovation Theory as its conceptual framework. Data were collected through a Google Forms-based questionnaire, with a total of 112 respondents. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The main findings indicate that the proposed model demonstrates good reliability and validity, with an R² value of 0.628, meaning that Behavioral Intention to Use explains 62% of the variance in the use of Oke-Jek. Furthermore, the results confirm that Compatibility, Relative Advantage, and Complexity are significant factors influencing the adoption of Oke-Jek among respondents. The implications of this research support the development of ride-hailing services in developing regions. These findings can be used to design effective strategies for increasing the adoption of Oke-Jek in West Papua. In addition to providing theoretical insights, this study also offers strategies for the evaluation and optimization of ride-hailing services.   Keywords: Developing Regions, Diffusion of Innovation, Partial Least Squares Structural Equation Modeling, Ride-hailing, Technology adoption
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.
Co-Authors Alex De Kweldju Chandra Leonard Kandami Dedi I. Inan Dedi Iskandar Inan Fridolin Febrianto Paiki Josua Josen A. Limbong Muhamad Indra Muhammad Indra Nanes Fitri Rahmawati Nur Vadila Roberth Yembise Timoti James Kaway