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All Journal Indonesian Journal of Cancer Chemoprevention Jurnal Pilar Nusa Mandiri
Nursyifa, Eva
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Medicine & Pharmacology

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PENGAMBILAN KEPUTUSAN PENERIMA BEASISWA SMA MENGGUNAKAN FUZZY MULTIPLE ATRIBUTE DECISION MAKING MODEL WEIGHTED PRODUCT Hidayatulloh, Taufik; Suhada, Satia; Nursyifa, Eva; Yusuf, Lestari
Jurnal Pilar Nusa Mandiri Vol 14 No 2 (2018): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (846.883 KB) | DOI: 10.33480/pilar.v14i2.75

Abstract

Beasiswa merupakan dana yang dapat diberikan oleh pemerintah, perusahaan swasta, kedutaan, universitas atau dari kantor tempat bekerja untuk meningkatkan kualitas sumber daya manusia melalui pendidikan. SMAN 1 Cicurug Sukabumi adalah salah satu instansi pendidikan yang menyelenggarakan beasiswa bagi siswa berprestasi yang akan melanjutkan sekolah di SMAN 1 Cicurug Sukabumi. Terdapat lima kriteria untuk menentukan penerima beasiswa tersebut yaitu: nilai rata-rata raport, nilai rata-rata ijazah, jumlah tanggungan orang tua, penghasilan orang tua dan bidang keahlian dengan bobot-bobot pada setiap kriteria. Untuk mempermudah para pengurus institusi pendidikan dalam menentukan peserta didik baru yang berhak menerima beasiswa, maka perlu adanya suatu sistem rekomendasi keputusan yang berfungsi untuk membantu melakukan seleksi kepada para calon penerima beasiswa. Pada penelitian ini menerapkan Fuzzy Multiple Attribute Decision Making dengan model weighted product sebagai sistem alternatif yang dapat digunakan untuk menentukan penerima beasiswa berdasarkan kriteria yang telah ditentukan, dengan hasil yang diperoleh dari 5 Alternatif yangdigunakan adalah yang memiliki nilai tertinggi pada perankingan dengan nilai vektor S=0.70 dan nilai Vektor V= 0.24.
Revelation of New Compound from Ethanolic Extract of Fragaria x ananassa var. Lembang Andayani, Desak Gede Sri; Lotulung, Puspa Dewi Narrij; Sulaswaty, Anny; Qaanitaati, Nur; Andini, Desak Gede Tirta; Mulyani, Rahmaniar; Nursyifa, Eva
Indonesian Journal of Cancer Chemoprevention Vol 10, No 3 (2019)
Publisher : Indonesian Society for Cancer Chemoprevention

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14499/indonesianjcanchemoprev10iss3pp159-168

Abstract

Fragaria x ananassa (strawberry) is a subtropical plant that can adapt well in tropical highlands. Fragaria x ananassa have been widely used to cope with health problems. The active compound component of secondary metabolites contained in Fragaria x ananassa has the potential as an antioxidant. This research is done to isolate secondary metabolites from extract of Fragaria x ananassa fruits. Extract Fragaria x ananassa was produced by maceration using ethanol as the solvent. Separation and isolation compound were carried out using Vacuum Liquid Chromatography (VLC) and Gravity Column Chromatography (GCC) guided by Thin Layer Chromatography (TLC) using hexane: ethyl acetate (3:7) as the eluent. The flavonoid compound was determined by the total content of phenolic and flavonoid in extract of Fragaria x ananassa fruits. The results of total phenolic content and total flavonoid content were 0.1130 mg/g and 0.0112 mg/g, respectively. The alkaloid compound was determined by Dragendorff testing. The elucidation of the structure by Fourier Tansform Infrared (FTIR), Nuclear Magnetic Resonance (NMR), and Liquid Chromatography Mass Spectrometry (LCMS) showed that the active compound contained in the secondary metabolite of extract ethanol from Fragaria x ananassa is 3-Cyclopentyl-5-(1-hydroxyethyl)-1,6-dihydro-7H-pyrazolo[4,3- d]pyrimidin-7-one.Keywords: Fragaria x ananassa extract, flavonoid, alkaloid, total phenolic and flavonoid content, FTIR, NMR, LCMS.
Co-Authors Andayani, Desak Gede Sri Andini, Desak Gede Tirta Anny Sulaswaty, Anny Lestari Yusuf Mulyani, Rahmaniar Puspa Dewi Narrij Lotulung Qaanitaati, Nur Satia Suhada, Satia Taufik Hidayatulloh