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Ely Nuryani
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INDONESIA
Jurnal Sistem Informasi dan Informatika (SIMIKA)
Published by Universitas Banten Jaya
ISSN : 26226901     EISSN : 26226375     DOI : 10.47080
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Jurnal Sistem Informasi dan Informatika aims to provide scientific literature specifically on studies of applied research in information systems (IS), information technology (IT) and public review of the development of theory, method, and applied sciences related to the subject.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 182 Documents
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PEMANFAATAN DATA MINING UNTUK IDENTIFIKASI POLA PEMBELIAN PRODUK PLATFORM PERDAGANGAN ELEKTRONIK E-COMMERCE PLAZA BANTEN Widyawati Widyawati; Eka Ramadhani Putra; Selly Septiani
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 9 No. 1 (2026): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v9i1.4454

Abstract

Digital transformation opens strategic opportunities for Micro, Small, and Medium Enterprises (MSMEs) to expand market reach through electronic commerce platforms. Plaza Banten is a digital marketplace that facilitates the promotion and sale of MSME products in Banten Province, Indonesia. Although transactions on the platform continue to increase, the utilization of transaction data for strategic decision-making has not yet been optimized. This study aims to identify consumer purchasing patterns on Plaza Banten through data mining by discovering product associations frequently purchased together and translating them into recommendations for promotions, product placement, and inventory planning. Sales transaction data were collected for a specific period and preprocessed through cleaning, transformation, and relevant attribute selection. The Apriori algorithm was applied in two scenarios: overall analysis and time-based transaction segmentation. Using a minimum support of 0.1% and minimum confidence of 60%, the analysis generated 8,117 association rules. The strongest rule achieved support = 0.348 and confidence = 98.9% (Nasi Box → Snack Box), while several segments reached confidence up to 100%. The highest lift value was 194.75 in the 06:00–09:00 segment, indicating highly specific co-purchase dependencies at certain times. These quantitative results reveal stable bundle patterns and time-dependent demand variations, supporting actionable strategies such as standardizing menu bundles, optimizing cross-selling offers, and prioritizing stock for high-correlation items. The resulting rules are interpreted and visualized to support Plaza Banten administrators and MSME partners in implementing data-driven decisions and strengthening the digital economy ecosystem in Banten Province.
PROTOTYPE SISTEM MONITORING KETINGGIAN AIR DAN CURAH HUJAN DI BENDUNGAN CIKALUMPANG BERBASIS INTERNET OF THINGS (IOT) Ramdani Budiman; Tifani Intan Solihati; Khasan Asrori; Iman Faturohman; Raden Kania
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 9 No. 1 (2026): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v9i1.4609

Abstract

Cikalumpang Dam, located in Kadubeureum Village, Padarincang District, Serang, Banten Province, is an irrigation area under the authority of Banten Province and managed by the Ciujung-Cidanau Watershed Management Unit UPTD (PDAS). Rising water levels in the dam, influenced by heavy rainfall and high river discharge, have become a recurring issue. Currently, water level measurement is conducted manually using conventional tools, causing delays in delivering crucial information to officers. Such delays increase the risk of flooding, which can damage infrastructure, harm the environment, and threaten human safety. The 2023 flood in Citasuk Village illustrates the risks caused by inadequate monitoring systems. This research applies a prototype method to develop an Internet of Things (IoT)- based water level and rainfall monitoring system integrated with the Blynk application. The system employs an ultrasonic sensor to measure water levels and a rainfall sensor to monitor precipitation in real-time, with data sent directly to the Blynk platform for monitoring and notification. The development stages include requirement analysis, prototype construction, system evaluation, coding, and testing. The system is designed to provide rapid alerts, enabling timely intervention to reduce flood risks. The main objective of this research is to improve water resource management efficiency at Cikalumpang Dam through modern technology implementation. Accurate and responsive monitoring is expected to minimize the negative impacts of flooding and enhance public safety. This study contributes to the development of intelligent solutions for water resource management and disaster mitigation.

Page 19 of 19 | Total Record : 182

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