Judul: Karakterisasi Morfologi dan Fitokimia Buah Lobi-lobi (Flacourtia inermis) pada Berbagai Tingkat Kematangan
Abstrak: Lobi-lobi fruits (Flacourtia inermis) is Indonesian local fruits which are now rarely cultivated by the community. But lobi-lobi fruits contain beneficial nutrients such as phenolic and high anthocyanin, thus providing health benefits for the human body, one of them being an antioxidant. This study aims to determine morphological and phytochemical characteristic of lobi-lobi fruits at various stages of maturity based on changes in skin color. This study uses a sample of lobi-lobi fruits at 6 different stage of maturity based on fruit skin color. The observations made were morphological characterization was in the form of fruit diameter, total fruit weight, seed weight, aril weight, edible portion, and fruit hardness, also phytochemical characterization in the form of total dissolved solids (TDS), total titrated acid (TTA), sugar content (glucose, fructose, and sucrose) by enzymatic methods and secondary metabolites by GC-MS method. The results showed that lobi-lobi fruits have a high TTA content at each stage of maturity so that lobi-lobi fruits are a fruit that has a sour taste. The glucose content of lobi-lobi fruits has the highest proportion compared to fructose and sucrose. GC-MS testing showed that there were 34 total compounds at 6 stage of maturity of lobi-lobi fruits. Specific content was identified at maturity stage 1, 4, 5, and 6. Dominant organic acid in lobi-lobi fruits was identified from the GC-MS test conducted is malic acid.
Keyword: chromatography, Flacourtia inermis, lobi-lobi, morphological, phytochemical

Judul: Plant Growth and Development Studies Lobi-lobi (Flacourtia inermis)
Abstrak: Lobi-lobi (Flacourtia inermis) merupakan tanaman yang berasal dari benua Afrika dan Asia. Penyebarannya di beberapa negara yaitu Botswana, Sri Lanka, Kamerun, Republik Demokratik Kongo, India, Zimbabwe, Indonesia, Indo-Cina, dan Cina Selatan. Habitat alami tumbuhan ini adalah hutan tropis. Penelitian ini bertujuan mendapatkan pola pertumbuhan dan mengetahui pola kandungan hara tanaman lobi-lobi dari fase vegetatif sampai pasca berbuah. Penelitian ini dilaksanakan di Taman Buah Mekarsari, Bogor Cileungsi, dan Laboratorium Pascapanen AGH, Fakultas Pertanian, Institut Pertanian Bogor. Penelitian ini dilaksanakan pada bulan Juli 2019 sampai dengan Juni 2020. Penelitian dilakukan dengan melakukan analisis unsur hara tanah sebelum memulai penelitian dan analisis unsur hara makro dan mikro pada tanaman. Identifikasi senyawa metabolit sekunder pada daun tanaman dianalisis di Laboratorium Kesehatan DKI Jakarta. Kemunculan tunas baru diamati setiap dua minggu. Data iklim dan cuaca berkorelasi dengan kemunculan tunas baru dan kondisi nutrisi pada tanaman. Fase vegetatif terjadi pada bulan Desember 2019 dan Februari 2020 ditandai dengan peningkatan jumlah tunas. Pola kenaikan hara N, P, Ca, dan Mg pada daun dewasa terjadi pada fase vegetatif. Penurunan pola kandungan hara K di bulan November 2019 sampai Maret 2020 pada daun dewasa ada kemungkinan translokasi hara untuk proses pembentukan tunas baru dan pembungaan pada tanaman. Selama perkembangan tanaman, kandungan C-organik pada daun relatif tidak mengalami perubahan yaitu rata-rata 54,86 %, sedangkan kandungan N pada daun mengalami penurunan dengan kisaran 1,34 sampai 1,76 %. Nisbah C/N berkorelasi negatif dengan pertumbuhan tunas baru. Hasil identifikasi dalam daun lobi-lobi diperoleh 60 jenis senyawa metabolit sekunder.
Keyword: C/N rasio, cekaman kekeringan, curah hujan, tunas baru

Judul: Pemodelan Harga Saham Menggunakan Generalisasi Proses Wiener dan Model ARIMA
Abstrak: The capital stock of a business entity represents the original capital paid or invested in the business by its founders. Since it is known that the stock price fluctuates in time, it is necessary to have a model to forecast the stock price in the future. In this study, stock price is assumed to follow a continous stochastic process. One of stochastic models that can be used to model the stock price is a model of generalized Wiener process. This model describes the time evolution of stock price as a stochastic variable with constant drift and variance rate. On the other hand, since stock prices data are time series data, so ARIMA model can also be used to model this phenomena and to predict the stock price in the future. Both models are estimated using a chosen set of data. The result is then used to forecast the stock price in the future time. It can be concluded that forecasting study using generalized Wiener process shows a slightly better result than the ARIMA model.
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