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All Journal Proceeding SENDI_U MEANS (Media Informasi Analisa dan Sistem) Tematik : Jurnal Teknologi Informasi Komunikasi JINAV: Journal of Information and Visualization
Kurnia, Dian Ade
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Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Library & Information Science Mathematics

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ANALISA BAKAT ANAK MELALUI PENERAPAN SISTEM PAKAR DENGAN METODE FORWARD CHAINING Laksana, Tri Ginanjar; Utama, Rizki Bintang; Kurnia, Dian Ade
Proceeding SENDI_U 2016: SEMINAR NASIONAL MULTI DISIPLIN ILMU DAN CALL FOR PAPERS
Publisher : Proceeding SENDI_U

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

Abstract

Banyak orang tua belum mengetahui bakat anaknya sehingga mempengaruhi pengembanganbakat yang dimiliki oleh anaknya. Hal ini mengakibatkan anak akan sulit untuk berkembang.Dan sulitnya menemukan psikolog anak untuk berkonsultasi juga menjadi salah satu penyebabhal ini. Penelitian ini menggunakan metode forward chaining. Alat yang digunakan dalampenelitian ini adalah bahasa pemrograman PHP dan database menggunakan MySQL. Metode inibekerja dengan cara sistem akan menerima fakta-fakta dari pengguna, kemudian akan ditarikkesimpulan dari fakta-fakta tersebut. Penelitian ini memberikan analisa bakat yang dimiliki anak.Dengan adanya sistem ini, diharapkan para orang tua tidak kesulitan untuk menganalisa bakatyang dimiliki anaknya. Sehingga para orang tua akan mampu mengembangkan bakat yangdimiliki anaknya.Kata Kunci: sistem pakar, psikolog, forward chaining, pemrograman php, database mysql
Pengenalan Wajah menggunakan Principle Component Analysis (PCA) dengan Model Algoritma Machine Learning untuk Mengidentifikasi Jenis Kelamin pada Kartu Identitas Mahasiswa Kurnia, Dian Ade; Hayati, Umi; Hartati, Tuti; Manikari, Salsa Loni; Afandi, Fahmi
TEMATIK Vol 9 No 2 (2022): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2022
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v9i2.1029

Abstract

Kajian tentang pengenalan wajah sampai saat ini masih banyak orang yang melakukan eksplorasi, hal ini dapat dilihat dari perkembangan teknologi Computer Vision yang diterapkan diberbagai aplikasi kehidupan. Tujuan penelitian ini adalah untuk mengidentifikasi wajah seseorang berdasarkan ciri atau featur jenis kelamin pada kartu identitas mahasiswa di sebuah perguruan tinggi. Metode yang digunakan melalui pendekatan data sains atau machine learning yaitu SEMMA (Sample, Explore, Modify, Model dan Asses) dengan penerapan pemodelan 2 (dua) algoritma yakni Support Vector Machine (SVM) dan Artificial Neural Network (ANN). Namun pemodelan tersebut juga didukung dengan pre-processing dengan teknik Principle Component Analysis (PCA) yang tujuannya mereduksi dimensi dari berbagai fitur gambar yang ada menjadi fitur yang terpilih. Hasil yang diperoleh dari penelitian ini bahwa adanya peningkatan performance pada aspek akurasi 77.50% untuk algoritma SVM dan 78.10%. Perolehan kinerja tersebut lebih baik dari penelitian sebelumnya yang tidak melibatkan teknik dimensi reduksi menggunakan PCA
UI/UX Development Using Figma based on Inclusive Design Kimseng, Ngov; Kurnia, Dian Ade; Vuthy, Ith; Arifin, Rita Wahyuni; Setiyadi, Didik
JINAV: Journal of Information and Visualization Vol. 4 No. 2 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.jinav2257

Abstract

The existence of User Interface (UI) and User Experience (UX) Designer has been highly increasing and needed in recent times. One of the reasons is that many companies are starting to use Website and Mobile Application all of these actions occurred in a convincing way that attracted users, however, each of them support the objective of business development. In answering this problem, knowledge of UI/UX is needed in terms of conduction for using it. Therefore, needed designer must use several processes in the research method that the author uses, namely empathize, define, ideate, prototype, and test. The purpose for designers, there are many resources to fulfil the lack of education and to prevent working hard, it assists designers in working and creating for all frameworks and inclusive design. Also, the contributes to designers with a practical framework, aligning with industry standards, and fostering a user-centric approach. It ensures digital products are inclusive, promoting diversity, and advancing design in the technology industry. In addition, how a designer can incorporate their unique ideate for building Websites and Mobile Applications. The result of the Design Thinking method in this research is to expertly improve the user’s experience better than before. And the result application was efficient based on the participants rate are successful effective. Satisfying based on overall rate 98.4% after see this and when using the application.
Clustering Data Penjualan Produk Makanan pada Toko Toserba Yogya Siliwangi dengan Menggunakan Metode K-Means Noviati; Mulyawan; Kurnia, Dian Ade; Rinaldi, Ade Rizki
MEANS (Media Informasi Analisa dan Sistem) Volume 7 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (874.498 KB) | DOI: 10.54367/means.v7i1.1850

Abstract

Product availability is one of the important factors to increase sales and maintain customer satisfaction in meeting their needs. With this, the company needs to analyze sales data, both for the best-selling products or those that are not selling well from sales reports every month, especially for food products. Of course, this is not easy, especially for a large enough retailer such as the Yogya Siliwangi Toserba which has thousands of product items and thousands of sales data every month. The above problems can be solved by grouping the data using the k-means clustering algorithm on rapidminer with variables taken by the name of goods, incoming goods, outgoing goods and stock. The goal is to maximize sales and maintain product stock availability to meet the diverse needs of consumers. From the calculation of the k-means algorithm using the rapidminer application, the results obtained are in the form of three clusters, cluster_1 3 items, cluster_2 13 items and cluster_0 454 items with Devies Bouldin results being 0.478.
Co-Authors Ade Rizki Rinaldi Afandi, Fahmi Didik Setiyadi Hayati, Umi Kimseng, Ngov Manikari, Salsa Loni Mulyawan Noviati Rita Wahyuni Arifin, Rita Wahyuni Tri Ginanjar Laksana Tuti Hartati Utama, Rizki Bintang Vuthy, Ith