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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Journal of Economics and Management Scienties
Wibisono, Jonathan
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Social Sciences

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Perbandingan Kinerja Metode Naive Bayes dan K- Nearest Neighbor untuk Klasifikasi Pekerjaan Berdasarkan Nilai Mata Kuliah (Studi Kasus: Alumni Program Studi Pendidikan Teknologi Informasi Fakultas Ilmu Komputer Universitas Brawijaya) Wibisono, Jonathan; Suharsono, Aswin; Wijoyo, Satrio Hadi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 8 No 3 (2024): Maret 2024
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Seiring dengan pertumbuhan era digital, kebutuhan akan keterampilan di bidang teknologi menjadi krusial dalam pasar kerja. Perguruan tinggi, termasuk Program Studi Pendidikan Teknologi Informasi Fakultas Ilmu Komputer Universitas Brawijaya, memiliki peran penting dalam mempersiapkan mahasiswa dengan keterampilan yang diperlukan. Dalam penelitian ini, metode analisis yang digunakan adalah Naive Bayes dan K-Nearest Neighbor. Pada masa sebelumnya, algoritma klasifikasi seperti Naive Bayes dan K-Nearest Neighbor telah digunakan dalam bidang pendidikan dan penelitian pekerjaan. Penelitian terdahulu menunjukkan hasil yang menjanjikan dalam memprediksi masa tunggu kerja alumni dan tingkat kelulusan mahasiswa. Namun, penelitian ini fokus pada analisis hubungan antara nilai mata kuliah dan pekerjaan yang dijalani oleh alumni Program Studi Pendidikan Teknologi Informasi. Melalui penggunaan metode Naive Bayes dan K-Nearest Neighbor, hasil penelitian ini mencapai tingkat akurasi sebesar 66,66%. Meskipun nilai akurasi ini dapat memberikan wawasan awal tentang hubungan antara nilai mata kuliah dan pekerjan alumni, masih diperlukan penelitian lebih lanjut untuk memperdalam pemahaman akan faktor-faktor yang mempengaruhi kesuksesan alumni bagi lulusan program ini.
Role Green Logistics Mediation in Improving Green Supply Chain Performance through Sustainable Manufacturing and Reverse Logistics Wibisono, Jonathan; Sutrisno, Timotius FCW
Journal of Economics and Management Scienties Volume 8 No. 3, June 2026 (Accepted)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v8i3.371

Abstract

This study aims to analyze the role of green logistics as a mediating variable in the relationship between sustainable manufacturing and reverse logistics on green supply chain performance in manufacturing companies in East Java. A quantitative approach was used through a questionnaire survey of manufacturing managers, with covariance-based Structural Equation Modeling analysis using AMOS. The measurement model was tested for validity and reliability, while the structural model was used to examine the direct and indirect influences between variables. The results show that sustainable manufacturing has a significant impact on green logistics, and green logistics has a significant positive impact on green supply chain performance. Conversely, reverse logistics has no significant impact on either green logistics or green supply chain performance, so its contribution to green supply chain performance is still limited. These findings indicate that improving green supply chain performance is more effectively achieved through the integration of sustainable manufacturing practices with green logistics rather than relying solely on reverse logistics, which is still partial and reactive. This study positions green logistics as a key mediator explaining how sustainable manufacturing and reverse logistics practices contribute to green supply chain performance in the context of developing countries.
Co-Authors Aswin Suharsono, Aswin Satrio Hadi Wijoyo Sutrisno, Timotius FCW