Penerapan Konsep Business Intelligence untuk Percepatan Penyelesaian Perkara pada Panmud Perdata Khusus Mahkamah Agung RI

Surat Keputusan Ketua MA No. 214/KMA/SK/XII/2014 tentang Jangka Waktu Penanganan Perkara diMahkamah Agung yang kini tengah menghadapi lonjakan jumlah perkara. Kelambatan penyelesaian perkarameningkatkan tumpukan perkara dan penyelesaian perkara yang lama berimplikasi dengan semakin besar biayadisertai dengan prosedur panjang menimbulkan kerugian dan ketidakpastian hukum bagi pencari keadilan.Business intelligence merupakan sistem aplikasi yang mampu menganalisa data operasional dan data transaksionaldi masa lampau ke dalam bentuk knowledge untuk mendukung keputusan dan perencanaan organisasi. BusinessIntelligence sebagai alat bantu untuk mengolah dan menganalisa data register perkara perdata khusus sehinggadapat memberikan informasi yang akurat. Penelitian dilakukan dengan menerapkan konsep business intelligence dengan pengklasifikasian algoritma yang tepat dalam percepatan penyelesaian perkara. Beberapa algoritma yang diuji, yaitu algoritma decisson tree, Naive Bayes, Logistic Regression, Decision Stump dan k-NN. Validasidilakukan dengan menggunakan 10 fold cross validation, Area Under Curve (AUC) untuk model evaluasi kinerja.Metode klasifikasi yang diusulkan dilihat dari perbandingan akurasi dan AUC, lalu melakukan uji t-test untukanalisis uji beda. Hasil yang diperoleh menunjukkan persentase perkara yang diselesaikan tepat waktu

Germination Seed Response of Eleusine Indica L. Gaertn to Depth and Buried TIME

A population of Eleusine indica L. Gaertn multiple resistant biotype securred in an oil palm field in North Sumatra. Field experiment was carried out to determinate the effect of time of period and depth seed buried in the soil on germination, effect of seed position buried in the soil on their emergence and number of seed bank found in various depth of soil. The study was conducted at Agricultural Faculty, University of Sumatera Utara. This research used randomized block design with 3 unit and 4 replication, first unit was germination response of seed weed E. indica to dept buried time with 2 factors. The first factor was dept with 5 treatment i.e. 0, 5, 10, 15, and 20 cm. The second was buried time with 6 treatments i.e. 2, 4, 6, 8, 10, and 12 weeks. Second unit was germination seed response of E. indica to various depth with 5 treatment i.e. 0, 5, 10, 15, and 20 cm. Third unit was seed bank E. indica with 4 treatment i.e. 0-5, 5-10, 10-15 and 15-20 cm. The results showed that the buried depth does not treatment affect the germination, but on buried time treatment affects on the germination. Seed germination buried for 12 weeks, number of seeds germination is higher than along 2, 4, 6, 8, 10 weeks. The depth of buried seeds (planting) effect on number of sprouts that appear on the surface of the soil. The highest number appears there are at 0 cm below the soil surface followed by 5 cm. The highest number of seed bank in the field are at a depth of 0-5 cm soil followed by a 10-15, 5-10, 15-20 cm

Sistem Informasi Akuntansi pada Outlet Perdagangan SMKN 1 Bogor

In the globalization era, everything is easy and practical, but it does ease resolve anyproblems that exist?. Just like other fields, the technology is growing more rapidly. With thedevelopment of science and technology, of course it can be used as a decision making tool thatis precise and accurate. In this case, the computer as an important role, started from education,organizations, government agencies up to medium-sized business that require precision inrecording. Outlet "SMK 1 Bogor Trade" is an entity under the auspices of SMK Negeri 1 Bogorengaged in retail to complement the school infrastructure in particular as a vocational tradepractices. In order to collect the data necessary to achieve the desired objectives in this study ofobservation, interviews, and literature. The development model is a structured system. Designof the accounting information system is the best solution to solve the problems faced at thisoutlet. The computerized system can achieve an effective and efficient activity, speed up dataprocessing, report generation, and produces an accurate calculation process, and then cansupport the activities. Keywords: Accounting Information Systems , Design, Implementation,Trade Outlets. &nbsp

Carbohydrates@MOFs

MOFs have demonstrated outstanding properties for the protection and controlled release of different bio-entities, from proteins to living cells. Carbohydrates, as pure molecules or as a component of proteins and cells, perform essential biological functions. Thus, an understanding of the role of carbohydrates in the formation of MOF-based bio-composites will facilitate their application to biotechnology and medicine. Here, we investigate the role of carbohydrate molecular weight and chemical functionalization in the formation of carbohydrate@MOF composites. We find that chemical functionalization, such as carboxylation, that leads to an enhancement of metal cation concentration at the surface of the molecule triggers the rapid self-assembly of the MOF material, zeolitic-imidazolate framework 8 (ZIF-8). Furthermore, we determine the encapsulation efficiency and measure the release properties of the carbohydrate under controlled conditions. Our findings show that MOFs can be used to prepare a new class of biocomposites for the delivery of carbohydrate-based therapeutics.Efwita Astria, Martin Thonhofer … Weibin Liang … David M. Huang, Christian J. Doonan, Paolo Falcaro ... et al

Role of Malondialdehyde (Mda) in Patients with Breast Cancer Diseases

Background: Breast cancer is one of the most common cancers as well as one of the leading causes of cancer mortality in women worldwide. Cancer risk potentially continues to increase because of the many sources of exposure to carcinogenic chemical compounds. Carcinogenic compounds can contribute to free radical formation which might further interact and damage biomolecules such as lipids. Lipid peroxidation will increase malondialdehyde (MDA) levels, triggering gene mutations that leads to cancer. Objective: The purpose of this research was to measure and compare MDA levels between breast cancer patients and control.Methods: This research was observational research using a cross-sectional comparative design of 30 breast cancer patients and 30 healthy controls. The place of this research is in Ropanasuri specialized surgery hospital and biochemical laboratory, Faculty of Medicine, Andalas University, Padang. This research was conducted from August to September 2019. The MDA was measured using a spectrophotometer and an independent T-test was done.Results: The result of this research showed the mean MDA level of breast cancer patients was 3.98 ± 0.35 nmol/ml, higher than controls was 3.04 ± 0.36 nmol/ml with p-value = 0.001.Conclusion: There were significant differences in MDA levels among breast cancer patients and control in Ropanasuri specialized surgery hospital, Padang

Predict Urban Air Pollution in Surabaya Using Recurrent Neural Network – Long Short Term Memory

Air is one of the primary needs of living things. If the condition of air is polluted, then the lives of humans and other living things will be disrupted. So it is needed to perform special handling to maintain air quality. One way to facilitate the prevention of air pollution is to make air pollutionforecasting by utilizing past data. Through the Environmental Office, the Surabaya City Government has monitored air quality in Surabaya every 30 minutes for various air quality parameters including CO, NO, NO2, NOx, PM10, SO2 and meteorological data such as wind direction, wind direction, wind speed, wind speed, global radiation, humidity, and air temperature. These data are very useful to build a prediction model for the forecast of air pollution in the future. With the large amount and variance of data generated from monitoring air quality in Surabaya city, a qualified algorithm is needed to process it. One algorithm that can be used is Recurrent Neural Network - Long Short Term Memory (RNN-LSTM). RNN-LSTM is built for sequential data processing such as time-series data. In this study, several analyses are performed. There are trend analysis, correlation analysis of pollutant values to meteorological data, and predictions of carbon monoxide pollutants using the Recurrent Neural Network - LSTM in the city of Surabaya correlated with meteorological data. The results of this study indicate that the best prediction model using RNN-LSTM with RMSE calculation gets an error of 1,880 with the number of hidden layer 2 and epoch 50 scenarios. The predicted results built can be used as a reference in determining the policy of the city government to deal with air pollution going forward

Towards applications of bioentities@MOFs in biomedicine

Metal–organic frameworks (MOFs) combined with biomacromolecules, viruses and cells have emerged asnovel biocomposites for application to drug delivery, biosensing, biospecimen preservation, and cell andvirus manipulation. The integration of biological entities into MOF matrices generates MOF biocompos-ites with functional characteristics that cannot be observed in the separate components, such asenhanced chemical and thermal stability, resistance to proteases, MOF-conferred selectivity, and con-trolled release. In this review, we will discuss these functional properties and applications of the biocom-posites obtained by the encapsulation of (i) proteins, (ii) carbohydrates, (iii) nucleic acids, and (iv) virusesor cells in a MOF matrix. Finally, we review the post functionalization of MOF-based drug carriers withlipids as a potential route to enhance the dispersion, stability in biological fluids, and blood circulationtime of MOF-based drug delivery systems.Miriam de J. Velásquez-Hernández, Mercedes Linares-Moreau, Efwita Astria,Francesco Carraro, Mram Z. Alyami, Niveen M. Khashab ... et al

Phase dependent encapsulation and release profile of ZIF-based biocomposites

Biocomposites composed of Zeolitic Imidazolate Frameworks (ZIFs) are generating significant interest due to their facile synthesis, and capacity to protect proteins from harsh environments. Here we systematically varied the composition (i.e. relative amounts of ligand (2-methylimidazole), metal precursor (Zn(OAc)₂·2H₂O), and protein) and post synthetic treatments (i.e. washes with water or water/ethanol) to prepare a series of protein@ZIF biocomposites. These data were used to construct two ternary phase diagrams that showed the synthesis conditions employed gave rise to five different phases including, for the first time, biocomposites based on ZIF-CO₃-1. We examined the influence of the different phases on two properties relevant to drug delivery applications: encapsulation efficiency and release profile. The encapsulation efficiencies of bovine serum albumin and insulin were phase dependent and ranged from 75% to 100%. In addition, release profiles showed that 100% protein release varied between 40 and 300 minutes depending on the phase. This study provides a detailed compositional map for the targeted preparation of ZIF-based biocomposites of specific phases and a tool for the straightforward analysis of the crystalline phases of ZIF based materials (web application named “ZIF phase analysis”). These data will facilitate the progress of ZIF bio-composites in the fields of biomedicine and biotechnology.F. Carraro, M. de J. Velásquez-Hernández, E. Astria, W. Liang, L. Twight C. Parise, M. Ge, Z. Huang, R. Ricco, X. Zou, L. Villanova, C.O. Kappe, C. Doonan and P. Falcar

Modulation of metal-azolate frameworks for the tunable release of encapsulated glycosaminoglycans

Glycosaminoglycans (GAGs) are biomacromolecules necessary for the regulation of different biological functions. In medicine, GAGs are important commercial therapeutics widely used for the treatment of thrombosis, inflammation, osteoarthritis and wound healing. However, protocols for the encapsulation of GAGs in MOFs carriers are not yet available. Here, we successfully encapsulated GAG-based clinical drugs (heparin, hyaluronic acid, chondroitin sulfate, dermatan sulfate) and two new biotherapeutics in preclinical stage (GM-1111 and HepSYL proteoglycan) in three different pH-responsive metal-azolate frameworks (ZIF-8, ZIF-90, and MAF-7). The resultant GAG@MOF biocomposites present significant differences in terms of crystallinity, particle size, and spatial distribution of the cargo, which influences the drug-release kinetics upon applying an acidic stimulus. For a selected system, heparin@MOF, the released therapeutic retained its antithrombotic activity while the MOF shell effectively protects the drug from heparin lyase. By using different MOF shells, the present approach enables the preparation of GAG-based biocomposites with tunable properties such as encapsulation efficiency, protection and release.Miriam de J. Velásquez-Hernández, Efwita Astria, Sarah Winkler, Weibin Liang, Helmar Wiltsche, Arpita Poddar, Ravi Shukla, Glenn Prestwich, John Paderi, Pablo Salcedo-Abraira, Heinz Amenitsch, Patricia Horcajada, Christian J. Doonan and Paolo Falcar