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Penggunaan Algoritma Apriori untuk Data Mining Penjualan Sepatu Brand Lokal Wahyudi, Wiwid; Bintang Daya, Rivoldy; Yunianto, Irdha
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 3 No. 2 (2023): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v3i2.2031

Abstract

Penggunaan Data Mining pada Penjualan Sepatu Brand Lokal Menggunakan Algoritma Apriori merupakan sebuah penelitian yang bertujuan untuk menggali bagaimana data mining dapat digunakan untuk meningkatkan penjualan sepatu brand lokal. Penelitian ini menerapkan algoritma apriori untuk analisis data penjualan sepatu brand lokal dan menemukan pola yang membantu meningkatkan penjualan. Hasil penelitian ini menunjukkan bahwa dengan penerapan algoritma apriori dapat dijelaskan pola belanja agar berguna untuk penjualan sepatu brand lokal, seperti kombinasi produk yang sering dibeli bersama pelanggan atau waktu terbaik untuk menjual produk tertentu. Selain itu, penelitian ini juga mengungkapkan bahwa dengan menggunakan data mining, perusahaan dapat mengelola persediaan secara lebih efektif dan meramalkan permintaan pasar, sehingga dapat meminimalkan penjualan yang hilang dan meningkatkan keuntungan.
Implementasi Data Mining Untuk Klasifikasi Stuting Gizi Pada Balita di Surabaya Menggunakan Metode K-Medoids Wahyudi, wiwid; Alvina Chintya Putri Herlena; IrdhaYunianto
Jurnal Publikasi Teknik Informatika Vol 2 No 1 (2023): Januari: Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (615.087 KB) | DOI: 10.55606/jupti.v2i1.1166

Abstract

With the development of the times, it is undeniable that science and technology as well as the ease of internet development make it easier for people to identify good nutrition that is needed by the body.humans, especially in toddlers who are in the processdevelopment is veryfast. Growth monitoring in toddlers is very important. To determine quality life, Psychic and the future of toddlers.Process monitoring can done in a cooperative way between parents and government, especially midwives and Posyandu cadres routine every period. Growing up and developing toddlers can seen with the indicators BB/TB, TB/U, BB/U, then stored in the Towards Healthy Card (KMS) data as picture on parents to really pay attention her toddler. This is for monitoring purposes growth and development of toddlers every month. In cases of stunting Nutrition in toddlers Clustering process using the Kmedoids method has low accuracy so it is not precise if used. It will be more effective when using the method Another clustering so that the accuracy value is obtained higher in order to facilitate the performance of midwives or cadres Posyandu is in the process of grouping toddler data who experienced good nutrition, moderate nutrition, malnutrition and malnutrition bad.
Augmented Reality dan Virtual Reality sebagai Media Promosi Sekolah berbasis Android Fitrianto, Yuli; Susatyono, Jarot Dian; Wahyudi, Wiwid
Krea-TIF: Jurnal Teknik Informatika Vol 10 No 1 (2022)
Publisher : Fakultas Teknik dan Sains, Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/krea-tif.v10i1.7087

Abstract

Media promosi sekolah berupa brosur tidak dapat menampilkan bangunan sekolah yang layak sehingga dibutuhkan media lain yang dapat menampilkannya secara lengkap dan dapat menarik calon siswa untuk mendaftar ke sekolah. Dengan potensi dimana hampir semua orang saat ini memiliki smartphone, maka solusi yang paling tepat adalah membangun aplikasi android yang menerapkan teknologi Augmented Reality (AR) dan Virtual Reality (VR) dengan memanfaatkan brosur yang telah ada sebagai marker dari AR-nya. Pembuatan AR dengan menggunakan software Unity3D, dengan plugin Vuforia sebagai tempat database markernya, sedangkan pemodelan objek 3D yang akan dimunculkan di atas marker, dibuat dengan software Google SketchUp. AR memunculkan objek gedung sekolah yang dapat dilihat atau diputar ke segala arah dan VR memungkinkan user untuk jalan-jalan secara virtual ke dalam gedung sekolah. Rangkaian pengujian memperoleh nilai 3.1 untuk performance, 3.84 untuk usability, 2.44 untuk compatibility, dan memperoleh hasil nilai rata-rata 3.1 dari nilai total 4 termasuk kategori sangat baik.
Designing User Experience for a Mobile Application for Agricultural Product Marketing Using the Human-Centered Design Method Yunianto, Irdha; Wahyudi, Wiwid
International Journal of Graphic Design Vol. 2 No. 2 (2024): IJGD : International Journal of Graphic Design
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ijgd.v2i2.2123

Abstract

This research explores the application of Human-Centered Design (HCD) in developing a mobile application for agricultural product marketing, aiming to address critical challenges faced by farmers, such as limited market access and inconsistent internet connectivity. By involving farmers and consumers in each stage of the design process, the application was iteratively improved based on user feedback. The study implemented low-fidelity and high-fidelity prototyping, with five iterations of user testing to enhance usability, navigation, and accessibility. Results show a significant increase in task success rates, user satisfaction, and application efficiency, mainly by including offline features for users in areas with poor internet infrastructure. The study also highlights the effectiveness of HCD in adapting technology to local conditions, offering a practical solution that supports the digital transformation of the agricultural sector, particularly in rural areas. This research contributes to the literature by demonstrating that HCD can be effectively used to develop user-friendly applications that meet the specific needs of the agricultural community
Design of an Environmental-Friendly Supplier Selection DSS Model using AHP-TOPSIS Bunga, Harley; Wahyudi, Wiwid
Jurnal Ilmiah Sistem Informasi Vol. 4 No. 1 (2025): Januari : Jurnal Ilmiah Sistem Informasi
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/b8wpb307

Abstract

Hasil penelitian menunjukkan bahwa model Decision Support System (DSS) berbasis kombinasi Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) mampu memberikan hasil evaluasi supplier yang objektif dan konsisten. Dari hasil perhitungan, kriteria Harga memperoleh bobot tertinggi sebesar 42,31%, diikuti oleh Waktu Pengiriman dan Layanan masing-masing 22,72%, serta Kualitas sebesar 12,25%. Peringkat akhir menunjukkan bahwa Supplier A memiliki nilai kedekatan tertinggi terhadap solusi ideal, menandakan keseimbangan terbaik antara efisiensi biaya dan kinerja non-finansial. Implementasi dalam bentuk dashboard interaktif terbukti mempermudah manajemen dalam memahami hasil analisis serta mempercepat proses pengambilan keputusan. Penelitian ini membuktikan bahwa integrasi metode AHP-TOPSIS dapat digunakan secara efektif sebagai alat bantu dalam manajemen pengadaan berbasis data. Namun, penelitian ini masih memiliki keterbatasan pada jumlah responden dan konteks industri yang relatif sempit. Penelitian mendatang disarankan untuk memperluas cakupan sektor industri, menambah jumlah pakar, serta mengintegrasikan model ini dengan teknologi machine learning atau real-time analytics agar sistem pendukung keputusan dapat beradaptasi secara dinamis terhadap perubahan kondisi pasar dan performa supplier.
Resilient Federated Learning Against Injection and Evasion Attacks in Edge Smart Grids: A Simulation Study Wahyudi, Wiwid
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 2 (2025): Oktober : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i2.1027

Abstract

The modernization of smart grids through edge computing introduces significant cybersecurity challenges, most stemming from adversarial machine learning attacks that compromise distributed intelligence. Although Federated Learning is an appealing decentralized model training paradigm for edge smart grids, its resilience against coordinated injection and evasion attacks has not yet been thoroughly explored. To address this critical gap, we develop and evaluate a resilient Federated Learning model for edge-based innovative grid applications. Under a rigorous simulation-based experimental design, we created a controlled environment based on synthetic energy-demand data and implemented adversarial attack scenarios to ensure model robustness. We propose a resilience enhancement layer in our framework during the federated aggregation process to curtail malicious model updates and adversarial inferences. The results show significant improvement in the stability of the proposed model under attack, maintaining a robustness index above 0.62, whereas baseline approaches exhibit complete degradation. This corresponds to a reduction of approximately 34% in the attack impact rate across different-intensity attack scenarios, while maintaining high stability in aggregation. In addition to the adversarial testing framework in the domain of Federated Learning, this work provides a validated resilience model that secures analytics of smart grids without requiring access to raw data. Our methodology presents a resource-efficient alternative to physical testing and enables safe yet comprehensive security evaluation in critical infrastructure applications.