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Khaidir Khaidir
Universitas Malikussaleh
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Predictive Analysis of Palm Oil Biodiesel Production Using a Naive Bayes Algorithm Based on Data Mining Techniques: A Machine Learning Approach for Renewable Energy Production Prediction Khaidir Khaidir; Nelly Fridayanti Fridayanti; Muhamad Yusuf; Nazimah Nazimah; Safrizal Safrizal; Teuku Multazam
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.27291

Abstract

The increasing demand for renewable energy has encouraged the optimization of palm oil biodiesel production to improve product quality and process efficiency. Biodiesel production is strongly influenced by operational parameters, including Free Fatty Acid (FFA) content, moisture content, methanol-to-oil molar ratio, catalyst concentration, reaction temperature, and reaction time, which may lead to quality variability and off-spec products. This study aimed to develop a predictive analysis model for palm oil biodiesel production using the Gaussian Naive Bayes algorithm based on a data mining approach. The study employed the Knowledge Discovery in Databases (KDD) framework using a secondary dataset consisting of 250 observations and six operational variables. Data preprocessing included missing value handling, Min-Max normalization, and Random Over-Sampling (ROS) to address class imbalance. The results showed that the model achieved an accuracy of 86.0%, weighted F1-score of 0.86, and cross-validation accuracy of 86.3 ± 2.4%. The analysis identified FFA, reaction temperature, and moisture content as the main factors influencing biodiesel quality. In addition, the model demonstrated high computational efficiency with a total processing time of 0.070 seconds, indicating its potential for real-time quality monitoring applications in biodiesel production systems.
Pengaruh Daerah Pengambilan Limbah Kulit Singkong (Manihot Esculenta L.) Dan Volume Starter Ragi Terhadap Kuantitas Dan Kualitas Produk Bioetanol Aufa Inayatillah1; Rd. Selvy Handayani; Khaidir Khaidir; Muhammad Nazaruddin; Nelly Fridayanti
Jurnal Ilmiah Mahasiswa Agroekoteknologi Vol. 5 No. 1 (2026): Vol. 5 No. 1 (2026): Jurnal Ilmiah Mahasiswa Agroekoteknologi (JIMATEK) Maret 2
Publisher : Department of Agroecotechnology Faculty of Agriculture, Universitas Malikussaleh

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Abstract

Limbah kulit singkong memiliki potensi besar sebagai bahan baku bioetanol karena kandungan selulosanya mencapai 80–85%. Namun, pemanfaatan limbah ini belum optimal meski produktivitasnya tinggi. Penelitian ini bertujuan untuk menentukan daerah asal limbah dan volume starter ragi (Saccharomyces cerevisiae) terbaik dalam proses produksi bioetanol. Penelitian dilaksanakan pada Mei hingga Juli 2025 menggunakan Rancangan Acak Lengkap (RAL) faktorial dengan dua faktor: asal limbah (Paya Gaboh dan Saree) serta volume starter ragi (250 mL, 350 mL, dan 450 mL). Proses produksi meliputi empat tahapan, yaitu pretreatment, hidrolisis, fermentasi, dan distilasi. Parameter pengujian mencakup rendemen, densitas, viskositas, kadar bioetanol, dan titik kabut. Hasil penelitian menunjukkan bahwa daerah asal limbah berpengaruh nyata terhadap densitas produk, dengan kualitas terbaik berasal dari daerah Saree (L2). Volume starter ragi berpengaruh terhadap rendemen dan densitas, di mana volume 250 mL (S1) memberikan hasil paling optimal. Terdapat interaksi antara daerah asal limbah dan volume starter ragi terhadap densitas bioetanol. Kombinasi perlakuan terbaik ditemukan pada interaksi limbah asal Saree dengan volume starter 250 mL (L2S1). Kesimpulannya, perbedaan karakteristik nutrisi pada daerah asal dan optimasi volume ragi sangat menentukan efisiensi serta kualitas konversi limbah kulit singkong menjadi bioetanol.
Co-Authors Abdullah Ade Fitria Agustina Maulida Almuna Ramadhani Annisa, Muhtia Aufa Inayatillah1 Aula Afzal Aulia Afzal Baidhawi Baidhawi Dea Rumambi Sinaga Dewi Sartika Aryani Dwi Asti Purnama Elvira Sari Dewi Erlangga Erlangga Eva Ayuzar Fachry Abda El Rahman Fadhliani, Fadhliani Hafifah Hafifah Hafifah, Hafifah Hamzah Fanshury Nasution Hendrival Hendrival Hendrival Ismadi Ismadi Ismadi Ismadi Jamidi, Jamidi Julianti Mahdaliana, Mahdaliana Martina Martina Maryamah Maryamah Millenia Dzikra Az Zahra Mira Humaira Muhamad Yusuf Muhammad Muaz Munauwar Muhammad Nazaruddin Muhammad Yusuf Nurdin Mulyadi Nurdin Munazar Munazar N, Muhammad Yusuf Nanda Mayani Nazimah Nazimah Nazimah Nazimah Nazimah Nelly Fridayanti Nilahayati Novita Pramahsari Putri Nura, Nura Nurdin, Mulyadi Puri Handayani Puri Handayani Rafli, Muhammad Rahmaniah Rahmaniah Rahmaniah Rd. Selvy Handayani Rd. Selvy Handayani Riani Riani, Riani Rosnina Rosnina, Rosnina Safrizal Safrizal Safrizal Safrizal Sari Dewi, Elvira Sari, Dewi Kumalasari Siregar, Eka Pratika Duri Syahrani Khairani Marpaung Syamimi, Nur Kholilah Tengku Dhean Teuku Multazam Usnawiyah Usnawiyah, Usnawiyah Usnawiyah, Usnawiyah Veithzal Rivai Zainal Yusuf N, Muhammad Zulkifli Zurrahmi Wirda Zurrahmi Wirda Zurrahmi Wirda Zurrahmi Wirda