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Erni Yudaningtyas
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : Jurnal EECCIS

 1 
Penerapan Case Based Reasoning pada Sistem Pendukung Keputusan Penanganan Komplain Penyewa Mall (Studi Kasus : Maspion Square Mall, Surabaya) Meivi Kartikasari; Purnomo Budi Santoso; Erni Yudaningtyas
Jurnal EECCIS Vol 9, No 2 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (630.763 KB)

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Abstract-One of the factors affecting the level of satisfaction of tenants in a mall is the speed and accuracy of the services provided by the manager of the mall, especially in terms of the handling of complaints. Case Based Reasoning is a method to resolve the issues with respect to the same events in the past, then use the knowledge or information to solve new problems. This research aims to develop a Decision Support System with Case Based Reasoning method to improve complaint handling services to tenants mall. Results of this research is a prototype complaint management system called SIPENKOM that can generate output solutions for new cases based on similar old cases. Based on test to tenants and management of Maspion Square Mall, SIPENKOM can improve complaint handling services by approximately 85%. Keywords-Decision Support Systems, Case Based Reasoning, Similarity.
Sistem Kontrol Kecepatan Sepeda Listrik Menggunakan Metode Self-Tuning Parameter PI dengan Metode Logika Fuzzy Mochamad Adityo Rachmadi; Muhammad Aziz Muslim; Erni Yudaningtyas
Jurnal EECCIS Vol 10, No 1 (2016)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (912.359 KB)

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Pada kendaraan sepeda, salah satu beban yang dihadapi adalah tanjakan, di mana sebuah tanjakan dalam keadaan sebenarnya dapat memiliki kemiringan yang berbeda–beda dalam suatu jalan. Karena itu, dibutuhkan sebuah aksi pengontrolan yang dapat beradaptasi dengan kondisi pembebanan yang berubah – ubah tersebut. Sebuah kontroler PI dengan parameter penguatan yang telah ditala sedemikian rupa dapat menghasilkan keluaran yang baik pada beban linier, namun akan kesulitan beradaptasi terhadap pembebanan yang berubah–ubah. Sistem kontrol kecepatan menggunakan metode self-tuning parameter PI dengan metode logika fuzzy digunakan untuk menala parameter penguatan kontroler PI, agar kontroler PI dapat beradaptasi dengan pembebanan tersebut. Pada penelitian ini, dibandingkan performansi sistem dengan kondisi tanpa beban dan kondisi berbeban dengan setpoint 120 rpm.
Efficiency of BLDC Motor Regenerative Braking System on Electric Motorcycles Buana, Fajar Kelana; Erni Yudaningtyas; Mochammad Rusli
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 17 No. 3 (2023)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v17i3.1658

Abstract

Design and Performance Evaluation of a PLC- and Fuzzy Logic-Based Control System for Improving Thermal and Humidity Distribution in Cold Storage Environments Sandy Dwi Kurniawan; Mochammad Rusli; Erni Yudaningtyas
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 2 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i2.1823

Abstract

Perishable agricultural commodities such as vegetables and fruits are susceptible to environmental storage conditions, particularly temperature and humidity, which significantly impact their quality. This study addresses the critical issue of uneven temperature and humidity distribution in cold storage environments, which can lead to spoilage and reduced product quality. Utilizing Computational Fluid Dynamics (CFD) simulations from ANSYS software, airflow and thermal distribution patterns were analyzed. A fuzzy logic control system was then developed using MATLAB and integrated with a Programmable Logic Controller (PLC) to regulate key actuators—servo motor, fan, and mist maker—based on real-time environmental parameters. Simulation results demonstrated that the fuzzy-controlled system achieved the target temperature setpoint of 21?°C efficiently, with minor fluctuations: ±0.15?°C to ±0.30?°C. The study confirms that intelligent control systems significantly enhance environmental uniformity in cold storage, thereby improving the preservation of perishable goods.
Co-Authors Abdan Hafili Alfathan Pradana Bagus Mitra Sujatmiko Bambang Siswojo Buana, Fajar Kelana M Azis Muslim Meivi Kartikasari Mochamad Adityo Rachmadi Mochammad Rusli Muhammad Aziz Muslim Nadya Maharani Panca Mudji Raharjo Purnomo Budi Santoso Rahma Nur Amalia Sandy Dwi Kurniawan