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All Journal Jurnal Ilmiah KOMPUTASI Jurnal Penelitian Pendidikan IPA (JPPIPA)
Suharjito
Bina Nusantara University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Materials Science & Nanotechnology Physics

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Technology Development for Detecting Palm Oil Ripeness : A Systematic Literature Review Ryan Alpha August; Suharjito
Jurnal Ilmiah Komputasi Vol. 20 No. 4 (2021): Jurnal Ilmiah Komputasi Volume: 20 No. 4, Desember 2021
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.20.4.2870

Abstract

Teknologi pendeteksi kematangan kelapa sawit telah berkembang pesat. Salah satu tantangan saat ini adalah sulitnya menentukan kematangan secara akurat dengan menggunakan metode manual. Sebuah tinjauan literatur sistematis dilakukan. Artikel ilmiah diperoleh dari jurnal dan dianalisis untuk mengidentifikasi metode yang sering digunakan oleh peneliti. Berdasarkan kriteria eksklusi, 56 makalah dimasukkan dalam analisis. Klasifikasi dilakukan menurut visi komputer dan sensor. Hasil kajian pustaka menunjukkan bahwa metode yang banyak digunakan oleh peneliti adalah model Jaringan Syaraf Tiruan (JST). Sedangkan Near Infra-Red (NIR) merupakan sensor yang banyak digunakan oleh para peneliti karena sensor ini dapat mengukur kematangan buah dengan biaya yang terjangkau. Berdasarkan tinjauan, dapat disimpulkan bahwa visi komputer dan sensor berkontribusi pada pengukuran kematangan yang akurat dan efisien.
Green Supply Chain Management Innovation in Promoting Sustainability in Indonesia's Palm Oil Industry Danar Adityo Putro; Suharjito
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.10951

Abstract

The palm oil industry is vital to Indonesia’s economy but faces regulatory, environmental, and cost challenges, driving the need for sustainable supply chains. This study examines the impact of Green Supply Chain Management (GSCM) on corporate sustainability performance and the mediating role of Green Innovation. It focuses on Green Procurement, Manufacturing, Logistics, and Packaging. This study a quantitative approach, data was collected from industry specialists through structured questionnaires. The research follows a structured process: problem identification, literature review, hypothesis development, data collection, and analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). PLS-SEM was chosen for its suitability in handling complex models, formative constructs, and non-normal data, making it ideal for predicting GSCM’s impact on CSP Data from 100 managers across more than 20 companies were analyzed using PLS-SEM with WarpPLS 6.0, which handles non-linear and complex relationships. Findings show GSCM significantly improves economic, environmental, and social sustainability, with Green Innovation mediating economic and social impacts but not environmental ones. The study underscores the need to align GSCM with SDGs for long-term sustainability and offers strategic insights for academics and practitioners.
Co-Authors Danar Adityo Putro Ryan Alpha August