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All Journal International Journal of Advances in Applied Sciences Journal of Engineering and Science Application
Dedin Fathudin
Universitas Pamulang
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Confirmatory factor analysis: model testing of financial ratios with decision support systems approach T. Husain; Maulana Ardhiansyah; Dedin Fathudin
International Journal of Advances in Applied Sciences Vol 10, No 2: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (373.461 KB) | DOI: 10.11591/ijaas.v10.i2.pp115-121

Abstract

The decision support systems approach can be developed into both computer-based and quantitative analysis tools. This research uses a model test with a confirmatory factor analysis (CFA) technique on matrix covariance against structural equation modelling (SEM) methods to measure financial ratios. Decision support system (DSS) analysis uses numerical calculations aided by mathematical models through six phases. The first three phases of a structured approach to building multivariate models and the next three phases, namely estimation, interpretation, and validation, are developing from data input that has been selected using LISREL version 8.72. The financial ratio’s testing model with a CFA approach derived into a mathematical (quantitative) model can explain the complexity of the relationship between the goodness-of-fit models (GOF) with a different approach from prior research. The goodness-of-fit test results in this study produced scores on each of the financial ratio measurement models at an accuracy level of CR of 78.49, TATO of 1.26, DER of 41.41, ROA of minus 0.033, and PBV of 540.92. This means that PBV has the highest standardized loading factors to determine the measurement of financial ratios. The CFA measurement based on SEM can be used to make appropriate decisions and combine a model comparison and redevelopment of the CFA technique and model testing with other software such as SPSS, PLS, AMOS, and others.
Optimalisasi Manajemen Distribusi Produk Skincare Melalui Penerapan Sistem Informasi Berbasis Web dengan Metode Particle Swarm Optimalization (PSO) Menggunakan Pendeketan V-Model Arya Syaputra; Dedin Fathudin
Journal of Engineering and Science Application Vol. 3 No. 2 (2026): Mei-Oktober
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v3i2.73

Abstract

PT Style Korean Indonesia masih menggunakan spreadsheet dalam beberapa proses distribusi, seperti pencatatan stok, pengelolaan reseller, dan pengiriman. Kondisi tersebut dapat menimbulkan ketidaksesuaian data serta menyulitkan pemantauan proses distribusi. Penelitian ini mengembangkan sistem informasi distribusi berbasis web dengan pendekatan V-Model yang mengintegrasikan pengelolaan produk, reseller, dokumen pengiriman, status distribusi, laporan, serta optimasi rute menggunakan algoritma Particle Swarm Optimization (PSO). Data penelitian diperoleh melalui observasi, wawancara, dan dokumentasi. Algoritma PSO diterapkan untuk memberikan rekomendasi urutan kunjungan reseller pada pengiriman menggunakan armada internal berdasarkan koordinat lokasi tujuan. Sistem diuji melalui Black Box Testing, pengujian algoritma PSO, dan User Acceptance Testing (UAT). Hasil pengujian menunjukkan bahwa fungsi utama sistem berjalan sesuai dengan skenario yang ditetapkan. Pengujian PSO dengan dua tujuan reseller menghasilkan rekomendasi rute PT Style Korean Indonesia–Arra–Josh–PT Style Korean Indonesia dengan estimasi jarak 40,68 km, waktu 1 jam 21 menit, dan nilai fitness 0,0246 setelah 100 iterasi. Sementara itu, UAT terhadap tiga responden memperoleh tingkat penerimaan sebesar 91,43%. Hasil tersebut menunjukkan bahwa sistem dapat membantu pengelolaan dan pemantauan distribusi secara lebih terstruktur serta memberikan rekomendasi rute bagi pengiriman menggunakan armada internal.
Co-Authors Arya Syaputra Maulana Ardhiansyah T. Husain