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All Journal Indonesian Journal of Business Intelligence (IJUBI) Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) CSRID
Mawar Hardiyanti
Universitas Pignatelli Triputra
Computer Science & IT Decision Sciences, Operations Research & Management

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PEMETAAN DAERAH BERPOTENSI TRANSMIGRAN DI KECAMATAN KARTASURA DENGAN METODE FUZZY C-MEANS (FCM) CLUSTERING Mawar Hardiyanti; Yustina Retno Wahyu Utami; Wawan Laksito Yuly Saptomo
Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) Vol 6, No 1 (2018): Jurnal TiKomSiN
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1167.148 KB) | DOI: 10.30646/tikomsin.v6i1.347

Abstract

In an attempt to achieve the well-being of Indonesia, one of the Government's policies that need to be implemented are the deployment and implementation of the transmigration program. In General only a transmigration program offered by the Government to all societies without knowing the economic background and his family so that the transmigration program was not right on target. Based on the background of the problems in this research is how to design, build, develop and implement Fuzzy C-Means Clustering on Regional Mapping System for classifying the area potentially Homesteader in Kartasura. The data obtained by conducting interviews at the population administration of the subdistrict of Kartasura, observation, and study of the literature. In this research, the author uses secondary data. Data obtained from Reports in Kartasura Subdistrict number 2015 by BPS (Statistics Indonesia) Sukoharjo Regency. The results obtained are Fuzzy C-Means method can be applied to a system of mapping the area potentially Homesteader in Kartasura can optimize the work of the Government in the implementation of the resettlement program. Testing the cluster with Center validation methods using MPC alternate data criteria in the period the year 2014 and 2015 which States that 3 clusters are the cluster validation.Keywords: Classification, Fuzzy C-Means, Transmigration
PERMODELAN PENGETAHUAN KESIAPAN PENANGANAN BENCANA DI RUMAH SAKIT Mawar Hardiyanti; Dhomas Hatta Fudholi
Indonesian Journal of Business Intelligence (IJUBI) Vol 4, No 2 (2021): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Program Studi S1 Sistem Informasi Fakultas Komputer dan Teknik Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v4i2.1934

Abstract

Bencana alam adalah peristiwa yang umumnya membawa dampak negatif. Indonesia adalah salah satu negara rawan bencana. Rumah sakit merupakan tempat rujukan pertama saat korban bencana membutuhkan perawatan. Pada dasarnya, berbagai studi yang menghasilkan pengetahuan sudah cukup banyak tersedia. Namun untuk penggunaannya pada bencana alam belum dikelola dan diterapkan dengan baik. Berdasarkan hal tersebut maka kami akan membangun medel pengetahuan kesiapan penanganan bencana di rumah sakit. Penelitian ini mengembangkan sebuah model pengetahuan berbasis ontologi untuk kesiapan rumah sakit pada penanganan bencana berdasarkan konsep tenaga kesehatan, institusi terkait, rencana darurat, dan alat. Proses permodelan ontologi pada penelitian ini terdiri dari tiga fase yaitu Konseptualisasi, Implemetasi dan Evaluasi. Pembangunan ontologi didasarkan dari hasil kuisioner yang telah diisi oleh pengurus TIM Bencana dari tiga rumah sakit di Jawa Tengah. Hasil yang didapatkan dari pengukuran ontologi yang dibuat untuk Relationship Richness sebesar 0.68, Inheritance Richness sebesar 0.18, dan Attribute Richness sebesar 0.04. Sedangkan hasil pengujian query yang dilakukan menggunakan DL Query Panel adalah sistem dengan kemapuan memberi sebuah jawaban dari gabungan ekspresi Class, object property untuk mendapatkan instancedari data Individual.
Identifikasi Wanda Janaka berbasis Deep Learning dengan Metode Convolutional Neural Network Benedictus Herry Suharto; Mawar Hardiyanti
Computer Science Research and Its Development Journal Vol. 15 No. 3 (2023): October 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

UNESCO named Wayang Kulit a "Masterpiece of Oral Intangible Heritage of Humanity" for Indonesian traditional arts. Wayang Kulit's characters show a symbol of personality, identity, image, appearance, and quality of the characters. In certain situations in the Wayang Kulit performance scene, this character has a different appearance image called Wanda. Wanda Wayang Kulit is less well-known among the younger generation. Therefore, technological creativity is needed so the younger generation can distinguish Wanda Wayang Kulit as part of the Indonesian nation's artistic and cultural literacy. One of the potential technologies that can be used is a smartphone application based on Deep Learning CNN to detect and recognize Wanda Wayang Kulit. In contrast to previous studies that have successfully used Deep Learning CNN to recognize Wayang Kulit characters, this research aims to create a CNN Deep Learning model to classify Wanda Wayang Kulit Janaka. The model uses five Wanda Wayang Kulit Janaka images from an Android smartphone camera. The results achieved from this study are the CNN deep learning model, which can classify the image of Wanda Wayang Kulit Janaka using an Android smartphone camera with an accuracy of 84%.
Co-Authors Benedictus Herry Suharto Dhomas Hatta Fudholi Wawan Laksito Yuly Saptomo Yustina Retno Wahyu Utami