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All Journal Journal of Innovation and Applied Technology Journal of Enviromental Engineering and Sustainable Technology AGRISE Industria: Jurnal Teknologi dan Manajemen Agroindustri Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) TEKNOLOGI PANGAN : Media Informasi dan Komunikasi Ilmiah Teknologi Pertanian JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) BULLET : Jurnal Multidisiplin Ilmu SAINTEK
Sukardi Sukardi
Universitas Brawijaya
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Ekstraksi dan Aktivitas Biologis Bawang Dayak (Eleutherine sp.) : Tinjauan Sistematis Shafira Arini Sundari; Vindhya Tri Widayanti; Sukardi
Prosiding Sains dan Teknologi Vol. 2 No. 1 (2023): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 2 - Februari 2023
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Bawang dayak merupakan salah satu komoditas banyak ditemui di Indonesia. Hingga saat ini, pemanfaatan umbi bawang dayak dilakukan dengan cara diseduh menjadi minuman. Oleh karena itu, berbagai penelitian telah dilakukan dalam rangka mengeksplorasi berbagai kandungan senyawa dalam bawang dayak. Tujuan dari tinjauan sistematik ini adalah untuk mengeksplorasi informasi komprehensif mengenai berbagai proses ekstraksi dan potensi senyawa yang terkandung dalam bawang dayak. Jurnal yang menjadi sumber tinjauan sistematika didapatkan dari Emerald, ProQuest, Science Direct, Researchgate, dan Google Scholar. Metode ekstraksi yang dibandingkan merupakan Maserasi, Microwave-Assisted Extraction (MAE), Penyeduhan, Refluks, Sokhletasi, dan Metode Ultrasonic Assisted Extraction (UAE). Kemudian senyawa yang umum ditemukan pada bawang dayak antara lain adalah senyawa fenolik, Naftokuinon dan turunannya, hingga oligosakarida. Oleh karena itu bawang dayak memiliki potentsi pemanfaatan antara lain sebagai sediaan antioksidan dan antibakteri, prebiotik, bahan penyalut mikroenkapsulasi, hingga anti-kanker.
Pengujian Kemurnian Minyak Kayu Putih Berbasis Electronic Nose Menggunakan Metode PCA Dan Neural Network Anwar Mujadin; Syachrial Putra Rifaldi; Octarina Nur Samijayani; Hadi Suyono; Sukardi; Anang Lastriyanto
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 1 (2024): BULLET : Jurnal Multidisiplin Ilmu (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

Electronic nose (E-Nose) is one of the latest innovations that plays an important role in the identification of aromatic gases besides using gas chromatography-mass spectrometry (GCMS). Qualitative testing of aromatic materials using E-Nose combined with the multivariate principal component analysis (PCA) and neural network (NN) decision tree analysis methods is very necessary at this time. E-Nose in this research was used as a test tool for the concentration (purity) of aromatic gas from eucalyptus essential oil (Melaleuca leucadendron L.) with alcohol impurities. PCA will place the distribution of sample data then map it and group it. A mixture of eucalyptus oil and alcohol obtained PCA1 of 98.58%, while PCA2 had a value of 1.06% with an accumulation of 99.64%. The sample data was then integrated with the NN decision tree model and obtained excellent classification close to 100% while having good-fitting. by not experiencing a gap between training data and testing data. E-Nose requires a stable control system with accurate gas sensors with measurements in the order of milliVolts (mV).
Co-Authors Anang Lastriyanto Angky Wahyu Putranto Anwar Mujadin Dodyk Pranowo E.F. Sri Maryani Santoso Firda Puspaningarum Isti Purwaningsih Ita Triesna Ariy Maimunah Hindun Pulungan Maimunah Hindun Pulungan Noorhamdani Noorhamdani Nur Baladina Octarina Nur Samijayani Puput Safitri Ratya Anindita Rina Susanti Rissa Dwi Susanti Riyanti Isaskar Setyawan, Hendrix Yulis Shafira Arini Sundari Suratmo Suratmo suratmo suratmo Suyono, Hadi Syachrial Putra Rifaldi Syafiq Maulidinda Kiswaya Vindhya Tri Widayanti Warsito Warsito warsito warsito warsito