Meivi Kartikasari
STIKI, Malang,

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Aplikasi Kamera Pengawas untuk Deteksi dan Tracking Objek Setyawan, Gembong Edhi; Kartikasari, Meivi; Amien, Mukhlis
SNATIKA Vol 1, No 1 (2011): SNATIKA 2011
Publisher : APTIKOM

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Abstract

ABSTRAKSalah satu aplikasi dalam bidang teknologi informasi dan telekomunikasi adalah membangun suatu sistem pengawas yang berbasis kamera. Dalam penelitian ini akan membahas perancangan kamera yang dapat mengikuti objek bergerak terutama untuk mendeteksi objek bergerak dan menentukan kontroler sebagai pengendali untuk menggerakkan kamera agar kamera dapat melakukan tracking terhadap objek. Aplikasi ini mengembangkan pergerakan kamera agar dapat bergerak secara otomatis baik secara vertikal maupun horisontal pada saat menangkap sebuah objek yang bergerak. Pada sistem ini digunakan komputer untuk mengolah citra dari objek, untuk mendeteksi objek bergerak, menentukan titik pusat objek dan menentukan titik pusat lensa kamera sebagai sensor posisi. Selanjutnya informasi pengolahan citra digunakan sebagai data untuk menggerakkan kamera. Selain komputer dibutuhkan rangkaian mikrokontroler AT89S51, Rangkaian DAC, Pengkondisi Sinyal, Driver Motor, Motor Servo dan Web Kamera. Untuk mengendalikan posisi kamera digunakan kontroler PID digital dengan metode penalaan Zieger Nichols. Hasil terbaik yang didapat untuk kontrolernya adalah kontroler proporsional dengan nilai parameter Kp=3,5.Kata Kunci: pengolahan citra digital, mikrokontroler, PID, zieger-nichols, image processing
Penerapan Case Based Reasoning pada Sistem Pendukung Keputusan Penanganan Komplain Penyewa Mall (Studi Kasus : Maspion Square Mall, Surabaya) Kartikasari, Meivi; Santoso, Purnomo Budi; Yudaningtyas, Erni
Jurnal EECCIS Vol 9, No 2 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

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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.
Implementasi Content Based Image Retrieval Untuk Menganalisa Kemiripan Bakteri Yoghurt Menggunakan Metode Latent Semantic Indexing Kartikasari, Meivi; Oktavia, Chaulina Alfianti
IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014
Publisher : IC-ITECHS

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Computer Vision technology can be implemented in a variety of fields. One implementation of computer vision in the field of biology, especially in microorganism. The problems that often exist in determining the characteristics of microorganisms is the use of manual counting technique in comparing and determining the corresponding image with the image that you saved earlier. Content Based Image Retrieval technique (CBIR) is needed in analyzing the similarity between the image-based approach yoghurt bacteria with Latent Semantic Indexing. Similarity analysis is done by means of data collection, preprocessing, feature extraction, calculation and visualization of image similarity retrieval results. From the analysis we can obtain the similarity between the tested image with the microorganism image contained in the database