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All Journal Jurnal Simantec Jurnal Sistem Cerdas Teknika
Abidin, Mochammad Syahrul
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Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Application of the DBSCAN Algorithm in MSME Clustering using the Silhouette Coefficient Method Abidin, Mochammad Syahrul; Kustiyahningsih, Yeni; Rahmanita, Eza; Satoto, Budi Dwi; Firmansyah, Muhammad Iqbal
Jurnal Sistem Cerdas Vol. 7 No. 3 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i3.472

Abstract

MSMEs participate in the very important contribution of developing Indonesia's economy, where this industry contributes to GDP and also to the absorption of labor. Most MSMEs in Sidoarjo Regency are still constrained by financial management and the utilization of technology. This research will apply the DBSCAN method to clustering MSMEs in Sidoarjo for the purpose of finding patterns in characteristics related to capital, turnover, and workforce. The analysis will involve 1,479 MSMEs, while the research methodology applies the CRISP-DM method to guide the process from business understanding up to the implementation phase. Normalization using Simple Feature Scaling was applied before clustering. The results of this analysis provide insight that the best possible combination of the parameters in DBSCAN is epsilon (ε) 0.10 and MinPts 16, which gives the optimal value of Silhouette Score as 0.4304. It creates seven clusters, in which the third has the highest Silhouette value of 0.9326, indicating that there are high similarities recorded within that cluster. These results provide essential lessons to develop more targeted policy strategies and interventions for MSMEs in Sidoarjo and explore the capabilities of DBSCAN as an effective analytical tool in determining the characteristics of businesses in the region.
EVALUASI KEPUASAN PENGGUNA TERHADAP KUALITAS WEBSITE DENGAN PENDEKATAN WEBQUAL 4.0 DAN EUCS PADA RADARSIDOARJO.COM Pribadi, Teguh; Abidin, Mochammad Syahrul; Kustiyahningsih, Yeni
Jurnal Simantec Vol 12, No 2 (2024): Jurnal Simantec Juni 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v12i2.23320

Abstract

Penelitian ini akan mendorong kepuasan pengguna dalam hal kualitas website RadarSidoarjo.com dengan menggunakan pendekatan dengan WebQual 4.0 dan EUCS. Tahapan penelitian terdiri dari identifikasi masalah, penyusunan instrumen penelitian berupa kuesioner, pengumpulan data dari pengguna situs. Instrumen penelitian ini terdiri dari empat aspek yaitu usability (kemudahan penggunaan), information quality (kualitas informasi), service interaction quality (kualitas interaksi layanan), dan ketepatan waktu penyelesaian pekerjaan (timeliness). Proses pengujian terdiri dari analisis data, dengan bantuan software SmartPLS 4.0, dalam dua tahap yaitu analisis model pengukuran, atau disebut outer model, yang berarti pengujian reliabilitas dan validitas instrumen, dan analisis model struktural, atau inner model yang berarti pengujian hubungan antar variabel. Hasil analisis outer model menunjukkan bahwa validitas dan reliabilitas untuk semua indikator baik, dengan nilai Composite Reliability untuk setiap variabel lebih dari 70%. Pada analisis inner model, variabel yang paling besar pengaruhnya terhadap kepuasan pengguna adalah variabel ketepatan waktu sebesar 39,4%, diikuti oleh variabel kegunaan sebesar 18,3%, kualitas informasi sebesar 23,5%, dan kualitas interaksi layanan sebesar 15,6%. Hal ini juga membuktikan bahwa waktu penyegaran informasi merupakan faktor terpenting yang menentukan kepuasan pengguna pada situs web RadarSidoarjo.com. Pengelola situs disarankan untuk lebih meningkatkan frekuensi penyegaran informasi dan mempermudah penggunaan situs. Semoga penelitian ini dapat menjadi acuan untuk penelitian selanjutnya tentang pengembangan kualitas situs web media daring.Kata kunci: EUCS, Kepuasan Pengguna, Kualitas Website, WebQual 4.0
Optimization of MSMEs Clustering in Sampang District Using K-Medoids Method and Silhouette Coefficient Method Firmansyah, Muhammad Iqbal; Kustiyahningsih, Yeni; Rahmanita, Eza; Abidin, Mochammad Syahrul; Satoto, Budi Dwi
Teknika Vol. 14 No. 1 (2025): March 2025
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v14i1.1116

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are an important sector in the economy, playing a significant role in creating jobs and driving local economic growth. This study aims to identify the business development patterns of MSMEs in Sampang District using the K-Medoids method. The background issue raised is the lack of appropriate segmentation for MSMEs, which complicates the efforts of the government and business actors in designing suitable development strategies. The dataset used consists of 1,276 MSME data points with six variables: Type of Business, Number of Workers, Production Capacity, Revenue, Assets, and Business License. The data processing steps include data conversion, one-hot encoding, and normalization to ensure uniformity. Clustering is performed using the Elbow method to determine the optimal number of clusters, with K=4 chosen as the optimal cluster number based on the highest Silhouette Coefficient value of 0.5662 compared to other K values. The Silhouette Coefficient values for K=2 are 0.3711, K=5 is 0.5389, K=7 is 0.5201, and K=9 is 0.4737. The clustering results show that this cluster encompasses various types of services, trade, to food and beverages sectors. This segmentation can support data-driven decision-making at the village level. Although this research shows promising results, it is recommended to expand the quantity and variety of data and consider external factors affecting MSME performance. Thus, this study makes a valuable contribution to understanding the business characteristics of MSMEs in Sampang District.
Co-Authors Budi Dwi Satoto Eza Rahmanita Firmansyah, Muhammad Iqbal Teguh Pribadi Yeni Kustiyahningsih