Plant medicine is a kind of plant that can be used to solve various problems in the human body either due to illness or other disorders. Jamu is an Indonesian traditional medicine. It is essentially herbal medicine that made from natural materials taken from several parts of medicinal plants which contain some substances and compounds that important and beneficial for the body. So far, the efficacy for some type of jamu has been proven empirically. In this paper, to fill this gap, we intend to elucidate the mechanism of jamu using computational base approach. This research focus to a jamu for Type 2 Diabetes (T2D) which prescription consist of four plants: Ginger (Zingiber officinale), Bratawali (Tinospora crispa), Sembung (Blumea balsamifera), and Bitter Melon (Momordica charantia). The framework of analysis starts with generating the network with 3 components: active compounds, proteins target and gene ontology. After that, will implement clustering to those components using concept of tri-partite graphs fuzzy clustering. The main ingredients of 15 active compounds have high score probability which divided in different cluster by the pair of active compounds that have high synergic effect. T2D is not solely caused by protein abnormalities from insulin secretion (isoform insulindegrading enzyme 1), but also caused by other proteins that involved in the inhibition of insulin in the pancreas. These proteins are Alpha-2C adrenergic receptors, beta-1 adrenergic receptor, and peroxisome proliferator-activated receptor delta, which have high probability in the same group.

Jamu merupakan obat tradisional Indonesia. Pada dasarnya obat herbal yang dibuat dari bahan-bahan alami yang diambil dari beberapa bagian dari tanaman obat yang mengandung beberapa zat dan senyawa yang penting dan bermanfaat bagi tubuh. Sejauh ini, khasiat untuk beberapa jenis jamu secara empiris telah terbukti. Dalam peneitian ini, kami bermaksud untuk menguraikan mekanisme kerja jamu menggunakan pendekatan komputasi. Penelitian ini berfokus pada ramuan jamu type 2 diabetesyang terdiri dari empat tanaman, yaitu: jahe, bratawali, sembung, dan pare. Kerangka analisis awal dengan membentuk 3 komponen jejaring yang terdiri dari: (1) bahan aktif tanaman (diperoleh dari Knapsack: 58 senyawa aktif), (2) protein target (diperoeh dari database pubchem: 416 protein target), dan (3) gene ontoogy(diperoeh dari database DAVID: 3104 GO). Selanjutnya, kami menerapkan analisis klaster-klasterdengan menggunakan konsep graf tri-partite. Graf tri-partite digunakan untuk mengelompokkan komponen-komponen penyusun jejaring dari empat tanaman yang disebutkandiatas, sehingga diperoleh system bagian-bagian penyusun ramuan jamu. Hal ini dilakukan untuk mengungkapkan mekanisme kerja jamu. Menggunakan metode fuzzy clustering pada data jejaring, kami memperoleh 15 senyawa aktif yang diduga potensial sebagai antidiabetes berada dalam kelompok berbeda. Pada 15 senyawa aktif memiliki nilai peluang cukup tinggi terbagi dalam kelompok yang berbeda, setiap kelompok terdiri dari pasangan bahan aktif yang memiliki efek sinergis tinggi. Berdasarkan koneksi antara klaster-klasterprotein dan GO-BP, penelitianini memperoleh informasi protein-protein yang menyebabkan T2D dan mekanisme proses biologis yang terkait. T2D bukan hanya disebabkan oleh protein kelainan sekresi insulin (insulin-merendahkan enzim isoform 1) saja, tetapi juga disebabkan oleh protein lain yang terlibat dalam penghambatan insulin di pankreas.

Technological developments are now growing rapidly in various layers of science such as in the development of science which has made many changes to the system towards a digital system in solving problems. The use of digital technology in the learning process is considered to increase the learning interest and motivation, the quality of the learning process, and learning outcomes. The younger generation is currently using more of a digital mindset by utilizing increasingly developing technology. Mathematics is one of the basic sciences that always developed to the demands of human needs for technological developments. Mathematics was born because of the human desire to systematize life experiences, organize them, and make them easy to understand, to be able to predict and if possible be able to control events that will occur in the future (forecasting). Problems in mathematics are often considered difficult by the younger generation, for that research will examine the application of desktop-based applications that can solve mathematical problems easily in a shorter time. The application that was built was applied to the One-Tail and Two-Tail hypothesis testing problems on the simulation data.

This study aims to calculate Indonesian pension funds using the Group Self Anuitization method and Makeham's death law. The calculation of the GSA method is almost the same as the calculation of an annuity for life, so the price determination procedure includes calculating the level of annuity payments. The death rate is projected by Makeham Mortality Law based on Indonesian Mortality Table IV. Based on an analysis with the same premium amount, it is known that the benefits of male pension funds are greater than women for each age at which benefits are paid, pension funds paid to policyholders increase from 2019-2021 and decrease in 2022, the higher the entry age payment of pension funds, the benefits obtained will be even greater Keywords: Group Self Annuitization; Pension Fund; Makeham Law; Premiums; Annuity   Abstrak Penelitian ini bertujuan untuk menghitung dana pensiun Indonesia dengan menggunakan metode Group Self Anuitization dan hukum kematian Makeham. Perhitungan pada metode GSA hampir sama dengan perhitungan anuitas seumur hidup, sehingga prosedur penentuan harga meliputi perhitungan tingkat pembayaran anuitas. Angka kematian diproyeksikan oleh Hukum Kematian Makeham berdasarkan Tabel Mortalita Indonesia IV. Berdasarkan analisis dengan besaran premi yang sama, diketahui bahwa manfaat dana pensiun laki-laki lebih besar dari perempuan untuk setiap usia masuk pembayaran manfaat, dana pensiun yang dibayarkan kepada pemegang polis meningkat dari tahun 2019-2021 dan menurun pada tahun 2022, semakin tinggi usia masuk pembayaran dana pensiun maka manfaat yang diperoleh akan semakin besar. Kata Kunci: Annuitisasi Diri Kelompok; Dana Pensiun; Hukum Mortalita Makeham; Premil; Anuitas

The aim of this research was conducted to determine the factors that influence the resilience of car loan debtors in an area. The research method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting of the customer profile (demography) and historical payment consisting of 25 observed variables. The Cox regression model used in this study is a proportional hazard Cox regression model. Based on the description of the data, it shows that there is a risk of defaulting debtors who have been past due compared to never past due. Cox proportional hazard regression model with the semiparametric method can be used to identify factors that affect debtor resilience. Of the 25 variables observed, there is one variable, namely the X16 (Age) variable which does not significantly affect the debtor's endurance. Keywords: Debtor Resistance; Historical Payment; Semiparametric; Cox Regression; Proportional Hazard   Penelitian ini bertujuan untuk mengetahui faktor yang berpengaruh terhadap daya tahan debitur kredit mobil di suatu wilayah. Metode penelitian yang digunakan pada penelitian ini adalah semiparametric regresi cox pada data sekunder, warehouse yang terdiri profil (demographi) customer dan historycal payment terdiri atas 25 varibel yang diamati. Model regresi Cox yang digunakan pada penelitian ini adalah model regresi Cox hazard proporsional. Berdasarkan deskripsi data menunjukkan adanya risiko debitur gagal bayar yang Pernah Past Due dibandingkan Never Past Due. Model regresi cox proportional hazard dengan metode semiparametrik dapat digunakan untuk mengedentifikasi faktor-faktor yang mempengaruhi daya tahan debitur. Dari 25 variable yang diamati ada 1 (satu) variable yaitu peubah X16 (Age) yang tidak signifikan berpengaruh terhadap daya tahan debitur. Kata Kunci: Daya Tahan Debitur; Riwayat Pembayaran; Semiparametrik; Regresi Cox; Proporsi Hazard