Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) EXPLORE
Rahayu, Vita
Unknown Affiliation
Computer Science & IT Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Algoritma Apriori dan FP-Growth Dalam Menemukan Pola Frequent Item Data Association Rule Pada Supermarket Rahayu, Vita
Jurnal Explore VOL 11, NO 2 (2021)
Publisher : STMIK Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/explore.v11i2.436

Abstract

Teknologi informasi yang setiap tahun nya semakin berkembang sehingga pada saat ini membuat seseorang tidak pernah lepas dari teknologi tersebut, teknologi digunakan diberbagai bidang yang salah satunya sepert usaha supermarket, pemanfaatan teknologi informasi pada supermarket dalam pengolahan data yang besar bisa menggunakan data mining dengan cara menganalisa data transaksi, dengan menganalisa data transaksi penjualan produk pada supermarket maka akan menghasilkan pola-pola kombinasi keterhubungan antar produk atau pola asosiasi. Penelitian ini penulis melakukan komparasi algoritma apriori dan FP-Growth yang dapat mengetahui pola pembelian atau pola asosiasi dengan membandingkan algoritma mana yang menghasilkan tingkat kepercayaan tertinggi dengan menggunakan data besar maka didapatkanlah FP-Growth yang menghasilkan tingkat ke percayaan tertinggi dalam menemukan kombinasi antar item berdasarkan teknik association rules pada proses nya yang berdasarkan nilai support (penunjuang) dan confidence (kepercayaan) dari masing-masing proses
Development of IoT-based Automatic Water Drainage System on Fishing Boat to Improve Operational Efficiency Zulfachmi, Zulfachmi; Zulkipli, Zulkipli; Rahayu, Vita; Saputra, Aggry; As Saidah, Muthiah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 3 (2025): June 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i3.6222

Abstract

The profession of fishermen requires a reliable system to remove stagnant water from fishing boats, as manual drainage is time-consuming and inefficient. This study proposes an IoT-based automatic water drainage system without using an inverter or ultrasonic sensor, offering a cost-effective alternative. The system utilizes a water level sensor and a DC water pump, controlled via a smartphone application. The research model used is the Research and Development (R&D) model, through several stages, namely potential and problems, initial data needs, prototype creation, prototype validation, prototype revision, validation, implementation. Problems occur at the prototype stage, problems that must be revised include aspects of wiring, Power Suitability, Water Level Sensor Test, and the configuration of the relay used. The IOT-based automatic water drainage system can function based on the results of white-box testing including Hardware Implementation, Software Implementation, Implementation of Application Usage, and Automatic Drainage System Testing. This is indicated by the results of the Liquid Water Level Sensor Functionality test, DC Water Pump Functionality Test, Solar Panel and Battery Functionality Test, and IOT Functionality Test. IOT-based automatic water discharge systems on fishing boats are more efficient and cost-effective in the long run, although diesel engines offer more reliability under adverse weather conditions or in places with limited access to sunlight.
Co-Authors AS SAIDAH, MUTHIAH Saputra, Aggry Zulfachmi, Zulfachmi Zulkipli Zulkipli