Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Informatika dan Ilmu Komputer CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Riau Jurnal Teknik Informatika Jurnal Informatika dan Rekayasa Perangkat Lunak
Winsy Ch. D. Weku
Universitas Sam Ratulangi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Mapping Pollutant Concentration Using R Shiny Web Framework Visualization in Manado City Rama Turnip; Winsy Ch. D. Weku; Eric Alfonsius
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 5 No. 1 (2026): Volume 5 Nomor 1 March 2026
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v5i1.79

Abstract

This study aims to develop a web-based application using the R Shiny framework to present interactive visualization of air quality data in Manado City. The main focus of this research lies in system design and user interface development to provide accessible spatial information for non-technical users. The application was implemented using the R programming language and supporting packages including shiny, leaflet, shinydashboard, and sf to facilitate map visualization and data management. Core features include an interactive dashboard, thematic map display with regional information, variable control panels, and structured database pages. System testing was conducted using Black Box Testing to ensure functional reliability according to user requirements. The implementation results demonstrate that the application successfully delivers responsive interactive visualizations and assists users in understanding air quality conditions through an informative and user-friendly web interface. Therefore, the R Shiny-based web application has potential as an effective environmental data visualization tool and can be further enhanced through continuous data integration and system performance improvements.
Pemantauan Perubahan Tutupan Lahan di Area Pertambangan Menggunakan Algoritma Random Forest Berbasis WebGIS Esda Dwitri; Winsy Ch. D. Weku; Eric Alfonsius
Riau Jurnal Teknik Informatika Vol. 5 No. 1 (2026): Maret 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i1.4439

Abstract

Area pertambangan PT Vale Sorowako, khususnya wilayah Lamangka dan Patea, menunjukkan dinamika perubahan tutupan lahan yang signifikan akibat aktivitas pertambangan yang berlangsung secara berkelanjutan. Oleh karena itu, diperlukan media visualisasi yang interaktif untuk mendukung pemantauan kondisi lingkungan secara lebih efektif. Penelitian ini bertujuan untuk mengembangkan aplikasi WebGIS berbasis website yang mampu memvisualisasikan perubahan tutupan lahan secara interaktif. Sistem yang dikembangkan memanfaatkan hasil klasifikasi citra satelit menggunakan algoritma Random Forest, yang menunjukkan performa sangat baik dengan nilai overall accuracy sebesar 96,76% dan koefisien kappa sebesar 0,95. Hasil klasifikasi tersebut kemudian diintegrasikan ke dalam platform WebGIS sebagai dasar penyajian informasi spasial.Proses visualisasi peta dilakukan menggunakan plugin qgis2web, sedangkan pengembangan aplikasi web diimplementasikan menggunakan teknologi PHP, HTML, CSS, dan JavaScript dengan dukungan pustaka pemetaan Leaflet untuk menampilkan peta interaktif. Pengujian sistem dilakukan menggunakan metode Black Box Testing untuk memastikan seluruh fitur sistem berjalan sesuai dengan fungsi yang dirancang. Hasil penelitian menunjukkan bahwa aplikasi WebGIS yang dikembangkan mampu menyajikan peta tematik dan informasi spasial secara responsif dan informatif, sehingga mendukung pemantauan perubahan tutupan lahan di wilayah pertambangan secara lebih efektif.
Determining Strategic Locations for MSMEs in Sario District Using SAW Ranking with AHP Weighting Rillya Arundaa; Winsy Ch. D. Weku; Sri Yunda Giasi
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 4 (2025): Volume 6 Number 4 Desember 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i4.623

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an essential role in the Indonesian economy due to their significant contribution to national economic growth as well as their ability to create jobs for local communities. The long-term success of MSMEs is not only determined by the products or services they offer, but also by the strategic business locations they select. However, identifying strategic locations is challenging due to the lack of structured tools, objective evaluation of multiple criteria, and limited use of integrated decision-support models. This research aims to determine the most strategic location for the development of MSMEs in Sario District, Manado City, by considering several key factors, including accessibility, population density, rental costs, community income levels, and infrastructure availability. These issues highlight the need for a systematic and objective approach to support decision-making in location selection. The problem faced in determining the location is the difficulty of integrating all criteria objectively and systematically. For this reason, the Analytical Hierarchy Process (AHP) method is employed to determine the weight of each criterion. In contrast, the Simple Additive Weighting (SAW) method is utilized to rank the alternative locations. The analysis found Sario Tumpaan (A4) as the most strategic location and Sario (A3) as the least. Data were obtained from surveys, interviews, questionnaires, and agency documents. The AHP–SAW-based Decision Support System effectively provided objective and consistent recommendations, with Sario Tumpaan serving as a benchmark for future evaluations and development.
Sistem Identifikasi Varietas Koi Berdasarkan Pola Corak dan Warna Menggunakan YOLOv8 Sabrina Kawulusan; Winsy Ch. D. Weku; Eric Alfonsius
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 4 No. 4 (2026): Volume 4 Number 4 October 2026 (Issue in Progress)
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v4i4.359

Abstract

Ikan koi (Cyprinus carpio) merupakan komoditas ikan hias bernilai ekonomis tinggi yang variasi corak dan warnanya, terutama pada varietas Kohaku, Sanke, dan Showa, menjadi daya tarik utama sekaligus tantangan tersendiri dalam proses identifikasi. Metode identifikasi manual yang selama ini digunakan pembudidaya masih rentan terhadap subjektivitas penilaian, khususnya pada varietas dengan kemiripan morfologi visual seperti Sanke dan Showa. Penelitian ini mengembangkan model deteksi dan klasifikasi ketiga varietas koi tersebut menggunakan arsitektur YOLOv8n yang diimplementasikan ke dalam sistem berbasis website. Dataset penelitian terdiri atas 313 citra sekunder dan 35 citra primer, yang setelah melalui anotasi dan augmentasi meningkat menjadi 589 citra dengan pembagian 414 data latih, 116 data validasi, dan 59 data uji. Model dilatih menggunakan tiga skenario konfigurasi hyperparameter berbeda, dengan konfigurasi epoch 100, batch 16, dan patience 20 menghasilkan performa terbaik berupa precision 94,88%, recall 87,87%, mAP@0,5 sebesar 93,89%, dan mAP@0,5:0,95 sebesar 90,85%. Analisis confusion matrix menunjukkan kesalahan klasifikasi paling banyak terjadi antara kelas Sanke dan Showa, sejalan dengan kemiripan visual keduanya, sementara kelas Kohaku menunjukkan performa paling stabil. Pengujian model pada data uji menghasilkan akurasi sebesar 98,30%, mengonfirmasi kemampuan generalisasi model terhadap data baru. Model yang telah divalidasi selanjutnya diintegrasikan ke dalam sistem berbasis website, dan pengujian fungsionalitas menggunakan metode black box testing membuktikan bahwa seluruh fitur sistem berjalan sesuai harapan tanpa kegagalan fungsi.
Co-Authors Alfonsius, Eric Esda Dwitri Rama Turnip Rillya Arundaa Sabrina Kawulusan Sri Yunda Giasi