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INDONESIA
Jurnal Sistem Informasi
Published by Institut Teknologi dan Bisnis Ahmad Dahlan Jakarta
ISSN : 27978516     EISSN : 27978516     DOI : 10.32546
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Content-Based Multimedia Retrieval, Cultural Heritage Applications, Data Mining, Distance Learning, E-Business/E-commerce, E-Government, E-Health, Enterprise Architecture Design & Management, Geographic Information System (GIS), Human-Computer Interaction, Information Assurance & Intelligent, Information Security & Risk Management, IS Operations Management, IS Organization & Human Resource Management IS Strategic Planning, Web Science, Social Media in Business, Multimedia Application, Big Data Research, New Technology Acceptance and Diffusion, Green Information Systems, Innovation Management/Technopreneurship Dan lain-lain
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 52 Documents
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IMPLEMENTASI SISTEM MONITORING MENGGUNAKAN ZABBIX DAN NOTIFIKASI REALTIME TELEGRAM UNTUK JARINGAN INTERNET BSI (BALI SMART ISLAND) DI KABUPATEN JEMBRANA Sugiarta, I Kadek; I Gede Juliana Eka Putra; I Nyoman Yudi Anggara Wijaya
Jurnal Sistem Informasi (JUSIN) Vol 6 No 2 (2025): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v6i2.3233

Abstract

With the advancement of information and communication technology, society has become increasingly dependent on access to information through the internet. However, this growing reliance has also led to a rise in the frequency of network disruptions, which can cause delays in information dissemination and interfere with institutional operations. PLN ICON PLUS, as an Internet Service Provider (ISP), faces the challenge of monitoring 123 routers used by the customers of the Jembrana Regency Communication and Information Office (Diskominfo). This research highlights the importance of implementing a network monitoring system using Zabbix, which can provide real-time notifications through Telegram to detect disruptions and minimize downtime.Currently, PLN ICON PLUS does not yet have an effective monitoring system, resulting in delays in addressing network issues. By adopting a more advanced monitoring solution, network performance is expected to improve, enabling technical teams to respond quickly and efficiently to disruptions, thereby enhancing service quality for Diskominfo Jembrana customers. The final results of the monitoring system show that it can operate properly and consistently send real-time notifications to Telegram whenever disruptions occur on devices or network services. This proves that the system can improve the responsiveness of the technical team in handling issues and minimizing downtime. Thus, the monitoring system is considered effective in supporting proactive and efficient network management.
ANALISIS DATA PENJUALAN HIJAB PREMIUM BERBASIS WEB MENGGUNAKAN ALGORITMA APRIORI UNTUK OPTIMASI STRATEGI PEMASARAN Hidayat, Taufik; Handayani, Yuni; Heppy, Salma Thahira Adelia
Jurnal Sistem Informasi (JUSIN) Vol 6 No 2 (2025): Jurnal Sistem Informasi
Publisher : ITB Ahmad Dahlan Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32546/jusin.v6i2.3358

Abstract

The rapid development of digital technology has driven an increase in online shopping transactions, including in the premium hijab label industry. Premium Hijab Label faces challenges in stock management, service delays, and difficulties in identifying consumer purchasing patterns. Therefore, this study aims to build a web-based sales analysis system by applying the Apriori algorithm as a data mining method to discover association patterns between products. The system development method used was prototyping, with stages including needs analysis, design, implementation using PHP with the CodeIgniter and MySQL frameworks, and testing using Black Box Testing. The analyzed data were Premium Hijab Label sales transactions from 2023–2024. The results show that the system can display frequent itemsets and generate association rules with certain support and confidence values. Some rules have confidence levels above 60%, which can be used as the basis for product recommendations and promotional strategies. The conclusion of this study is that the Apriori algorithm-based system can assist MSMEs in analyzing consumer shopping patterns, supporting strategic decision-making, and improving the efficiency of stock management and marketing.

Page 6 of 6 | Total Record : 52

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