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All Journal Jurnal Ilmiah Sinus JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) Design Journal
Septiana Ningtyas
Institut Teknologi dan Bisnis Swadharma
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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PENERAPAN METODE CLOUD RECOGNITION PADA APLIKASI AUGMENTED REALITY PENGENALAN JENIS BUAH-BUAHAN Septiana Ningtyas; Abdul Aziz Efendy
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 1, No 1 (2021): JEIS EDISI JANUARI 2021
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (245.432 KB) | DOI: 10.56486/jeis.vol1no1.67

Abstract

Augmented Reality is the merging of two-dimensional or three-dimensional virtual objects into a three-dimensional real environment. Then project these virtual objects in real-time. In the field of education, AR technology can be useful as a medium for student learning to be more attractive, more interactive, and imaginative whose objects are following the original. This study aims to produce fruit learning applications using Android-based Augmented Reality technology to support the learning process using the Multimedia Development Life Cycle (MDLC) method which consists of 6 stages, namely concept, design, material collecting, assembly, testing, and distribution. The result of the research is an augmented reality application for fruit recognition using a cloud recognition method based on C #, Unity 3D, and blender which applies marker based tracking method based on android which can be used as a learning tool for students.
Sistem Pakar Konsultasi Penyakit Kulit Dengan Metode Forward Chaining Pada Klinik Medika Andy Dharmalau; Jamah Sari; Septiana Ningtyas; Indra Hiswara
Jurnal Ilmiah SINUS Vol 21, No 2 (2023): Volume 21 No. 2 Juli 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i2.701

Abstract

Expert systems have information gained through a combination of readings, training, and practical experience. As a result, professionals can make faster and more accurate decisions while tackling complicated situations than non-experts. Klinik Medika is a health-care organization that focuses on public health, particularly skin health issues. This clinic's services to patients for consultation and treatment need to be improved in terms of service time efficiency. For this reason, an expert system is required so that patients can consult online rather than visiting the clinic.The goal of this research is to apply Forward Chaining method to create an expert system that can be used to consult on various skin conditions. Based on the results of the tests, the expert system can correctly diagnose the signs of skin disorders with a 90% accuracy. The system can also accept errors caused by differences in knowledge based on computational data and the experience of skin disease experts.
Pengaruh Teknologi Augmented Reality terhadap Pengalaman Pengguna dalam Desain Interior di Museum Wayang dan Fatahillah Tuhfatul Habibah Hasibuan; Septiana Ningtyas; Jamah Sari; Taufiqurrochman; Harun Ar-Rasyid
Design Journal Vol. 3 No. 1 (2025): January
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/dj.v3i1.196

Abstract

The study aims to analyze how the application of Augmented Reality (AR) technology affects the user experience at the Wayang Museum and Fatahillah Museum. Augmented Reality technology is considered an innovation that can increase the interactivity, understanding, and satisfaction of museum visitors. With a mixed method approach, surveys, interviews, and observations were used to collect data in this study, resulting in 85% of respondents stating that AR technology increases their interactivity with museum artifacts and the average score for interactivity reached 4.3 on a scale of 5. Up to 90% of all respondents reported that AR features such as 3D animation, QR-Code, etc., allow them to understand culture and history better. In addition, there is a strong positive correlation between the use of AR technology and visitor satisfaction (r = 0.75, p < 0.01), 88% of participants expressed satisfaction with the AR-based exhibition experience. The application of this technology poses several challenges, including expensive development and maintenance, infrastructure limitations such as stable internet availability, and user devices that are not yet fully compatible. To address these barriers, it is recommended that infrastructure improvements, collaboration with technology partners, and staff training be implemented to increase understanding of how the introduction of AR technology can be used to enhance the museum visitor experience in a way that includes further integration of educational standards and interactive and enjoyable aesthetics to achieve greater potential for tourists and cultural education in general
PENGEMBANGAN APLIKASI CUSTOMER RELATIONSHIP MANAGEMENT (CRM) BERBASIS WHATSAPP BUSINESS UNTUK OPTIMALISASI PENJUALAN PADA BISNIS FASHION ONLINE Usanto Usanto; Adi Sopian; Riza Syahrial; Christine Sientta Dewi; Septiana Ningtyas; Ike Kurniati
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 6, No 1 (2026): JURNAL JRIS EDISI JANUARI 2026
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol6no1.975

Abstract

The development of information technology has driven significant transformation in the retail trade sector, including the online fashion industry in Indonesia. The shift in consumer behavior towards online shopping requires businesses to adopt effective Customer Relationship Management (CRM) strategies to increase customer satisfaction, loyalty, and customer management efficiency. This study aims to design and implement a WhatsApp Business-based CRM application to optimize the sales system in fashion MSMEs, with a case study in the online fashion sector. The research method used is a descriptive qualitative approach, using interviews, observations, and literature reviews. The results show that manual use of WhatsApp Business creates obstacles, including delayed responses, unstructured customer records, and limited consumer behavior analysis. The developed CRM application integrates the WhatsApp Business API with a customer database and a web-based admin dashboard. Key features include contact management, transaction history recording, auto-reply, customer segmentation, and promotional broadcasts. Testing using the black-box method and user validation demonstrates that the system runs optimally, accelerates response times, improves communication efficiency, and provides real-time customer analysis.Perkembangan teknologi informasi telah mendorong transformasi signifikan pada sektor perdagangan ritel, termasuk industri fashion online di Indonesia. Pergeseran perilaku konsumen menuju belanja daring menuntut pelaku usaha untuk mengadopsi strategi Customer Relationship Management (CRM) yang efektif dalam meningkatkan kepuasan, loyalitas, serta efisiensi pengelolaan pelanggan. Penelitian ini bertujuan merancang dan mengimplementasikan aplikasi CRM berbasis WhatsApp Business guna mengoptimalkan sistem penjualan pada UMKM fashion, dengan studi kasus di Sektor fashion online. Metode penelitian yang digunakan adalah kualitatif deskriptif melalui wawancara, observasi, dan studi pustaka. Hasil penelitian menunjukkan bahwa penggunaan WhatsApp Business secara manual menimbulkan kendala berupa keterlambatan respons, pencatatan pelanggan yang tidak terstruktur, serta keterbatasan analisis perilaku konsumen. Aplikasi CRM yang dikembangkan mengintegrasikan WhatsApp Business API dengan basis data pelanggan dan dashboard admin berbasis web. Fitur utama mencakup manajemen kontak, pencatatan histori transaksi, auto-reply, segmentasi pelanggan, dan broadcast promosi. Pengujian menggunakan metode black-box dan validasi pengguna membuktikan bahwa sistem berjalan optimal, mempercepat respons, meningkatkan efisiensi komunikasi, serta menyediakan analisis pelanggan secara real-time.
Co-Authors Abdul Aziz Efendy Adi Sopian Andy Dharmalau Christine Sientta Dewi Harun Ar-Rasyid Ike Kurniati Indra Hiswara Jamah Sari Riza Syahrial Taufiqurrochman Tuhfatul Habibah Hasibuan Usanto Usanto