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Analisis Dampak Promosi dan Kualitas Layanan Elektronik terhadap Niat untuk Membeli Kembali Penggunaan OVOPAY (Studi Kasus Konsumen OVOPAY Se-Karesidenan Pekalongan) Budiyanto, Muhamad Andi; Prasetyo, Faiz Irsyad; Prihadi, Deddy; Irawan, Bei Harira
Journal of Information System & Business Management (ISBM) Vol. 1 No. 2 (2023)
Publisher : Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/isbm.v1i2.27

Abstract

Penelitian ini mengidentifikasi apakah terdapat dampak positif dari promosi serta bagaimanakualitas layanan elektronik (e-service) terhadap minat untuk membeli ulang layanan OvoPay.Penelitian ini mengadopsi pendekatan tipe eksplanatori. Dalam proses pengambilan sampel,metode pengambilan sampel non-probabilitas digunakan dengan pendekatan conveniencesampling, di mana survei disebar secara daring melalui formulir Google. Sebanyak 86 individuyang menggunakan layanan OvoPay di kawasan Pekalongan diambil sebagai sampel. Pengukurandilakukan menggunakan model skala Likert. Metode analisis yang diterapkan menggunakanRegresi Linear Berganda, dengan proses analisis dilakukan menggunakan perangkat lunak SPSSV. 22. Uji instrumen melibatkan uji validitas serta uji reliabilitas. Sementara uji asumsi klasikmelibatkan uji Normalitas dan uji Multikolinearitas serta uji Heteroskedastisitas. Uji analisis datamencakup uji F, koefisien determinasi, uji t dan persamaan regresi berganda.Hasil dari analisis data menunjukkan secara terpisah bahwa promosi memiliki dampak positif dansignifikan terhadap adanya minat beli ulang layanan OvoPay. Sementara itu, kualitas pada layananelektronik (E-Service Quality) juga memiliki dampak positif dan signifikan adanya minat beliulang layanan OvoPay. Secara bersamaan, uji simultan menunjukkan bahwa promosi dan kualitas layanan elektronik (E-Service Quality) secara bersama-sama berdampak positif pada minat beliulang layanan OvoPay sebesar 58,8%, sedangkan pada sisa pengaruh sebesar 41,2% dapatdijelaskan oleh faktor-faktor lain.
Applying the Microservices Architecture in the Development of an Online Fish Auction System Irawan, Bei Harira; Prihadi, Deddy; Simarangkir, Manase Sahat; Miswadi, Miswadi; Sofyan, Ali
Journal of Artificial Intelligence and Software Engineering Vol 5, No 2 (2025): Juni On-Progress
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i2.6891

Abstract

Online fish auction systems offer an innovative solution to improve efficiency and transparency in fisheries transactions. Using microservices architecture enhances scalability, flexibility, andperformance. Core services like user authentication, auction management, bidding, payment, and delivery are built independently with structured APIs. Performance testing with JMeter simulates active users to measure response time, throughput, and resource usage. Resultsshow the authentication endpoint averages 120ms response time, while auction management reaches 150ms. The system’s throughput increases by 45% over monolithic architecture, handling up to 5,000 requests per minute. Simulations reveal improved resource efficiency, with CPU usage reduced by 30% and memory by 25%. The study concludes that microservices offer an efficient and reliable digital fish auction solution. Another advantage of the microservices approach is the ease of maintenance and the development of new features without disrupting existing services. Each service can be horizontally scaled according to workload demands, allowing the system to remain responsive under high traffic conditions. Therefore, this system is suitable for national or regional implementation in supporting the digital fisheries ecosystem.
FUZZY MAMDANI EXPERT SYSTEM FOR PROPERNESS OF SELECTING SUPPLIER IN CORPORATE XYZ Hendriyanto, Hendriyanto; Irawan, Bei Harira; Prihadi, Deddy; Hartati, Indah
Asia Information System Journal Vol. 2 No. 1 (2023): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/aisj.v2i1.23528

Abstract

This research aims to enhance the supplier selection process at Corporate XYZ by implementing the Fuzzy Mamdani Expert System, which addresses the complexities of evaluating suppliers in a service-oriented business environment. The study employs a fuzzy logic approach to assess suppliers based on multiple qualitative and quantitative criteria, including cost efficiency, reliability, and scalability. The methodology involves fuzzification of input data, rule base evaluation, and the application of the Mamdani inference system to derive crisp scores for each supplier. The findings indicate that Supplier A scored 85 points, outperforming Supplier B, which scored 70 points, highlighting the effectiveness of the evaluation process. Additionally, the research identifies potential risks associated with suppliers, such as pending legal documentation, which could impact their overall scores. The conclusion emphasizes that the Fuzzy Mamdani Expert System not only facilitates informed decision-making in supplier selection but also fosters continuous improvement through a feedback loop mechanism. This study contributes to the field of supply chain management by demonstrating the applicability of fuzzy logic in optimizing supplier evaluations, ultimately leading to better supplier relationships and cost efficiencies for organizations. Future research is suggested to explore the integration of additional criteria and advanced analytical techniques.