pendidikan, science, teknologi, dan ekonomi
Jurnal ini berisikan artikel penelitian tentang pendidikan, ilmu kesehatan atau kesehatan masyarakat, ilmu science. teknologi, dan ekonomi.
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<![CDATA[ACCURACY OF C4.5 ALGORITHM BASED GAIN AVERAGE VALUES IN PREDICTING STUDENT VALUES ]]>
<![CDATA[Aminuddin Indra Permana]]>
<![CDATA[ Jurnal Ipteks Terapan Vol 14, No 2 (2020): JIT ]]>
Publisher : <![CDATA[LLDIKTI Wilayah X ]]>
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DOI: 10.22216/jit.2020.v14i2.5375
<![CDATA[ C4.5 algorithm still has weaknesses in making predictions or classifying data if the classes used in large quantities can cause increased decision-making time. Then we need an approach to improve the performance of the C4.5 algorithm in the split attribute selection process is to use the average gain value that is applied to help predict students who will become the overall champion. In research conducted on Student Value is done by producing predictions from the C4.5 method by doing the highest level of accuracy that is good. From the results of the analysis that improving the performance of the C4.5 algorithm in the split attribute selection process is to use the average gain value applied. The success in predicting using the C4.5 method using Student Grades increased by 66.3%]]>
<![CDATA[MODERN DRESSING WOUND CARE EFFECTIVE HEALING DIABETIC Wounds IN ISAM CAHAYA HOLISTIC CARE ]]>
<![CDATA[Sudarman Sudarman]]>;
<![CDATA[Akbar Asfar]]>;
<![CDATA[Haeril Amir]]>
<![CDATA[ Jurnal Ipteks Terapan Vol 14, No 2 (2020): JIT ]]>
Publisher : <![CDATA[LLDIKTI Wilayah X ]]>
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DOI: 10.22216/jit.2020.v14i2.5384
<![CDATA[Diabetes mellitus has a risk of causing complications, one of which is diabetic foot injury. The nurse who plays the role of nursing care is very important in the process of healing diabetic wounds. Wound care with modern wound dressing methods can prevent infection in diabetic foot sores and is effective against the process of healing diabetic wounds. This study aims to determine the effect of modern dressing dressing treatment methods on diabetic wound healing in the Independent Nursing Practice of Isam Cahaya Holistic Care Makassar City. The research design used was observational analytic with a pre-experimental design approach without pretest-posttest design. Sampling was done by accidental sampling with a sample of 15 people. The results of the Wilcoxon test with significance level ρ <α = 0.05. The results showed that there was an average difference between the results of the condition status / wound healing before and after the wound treatment of the modern dressing method with a value of ρ = 0.001. The conclusion of this study is that the wound dressing modern method affects the healing of diabetic wounds in the Independent Nursing Practice of Isam Cahaya Holistic Care Makassar City. It is expected that nurses can improve their knowledge and skills about wound care with modern dressing methods to be able to provide appropriate and quality wound care.]]>
<![CDATA[RELATIONSHIP BETWEEN BLUE OCEAN STRATEGY, CUSTOMER BEHAVIOR, AND ISLAMIC BANK PEFORMANCE ]]>
<![CDATA[nasfi nasfi]]>
<![CDATA[ Jurnal Ipteks Terapan Vol 14, No 2 (2020): JIT ]]>
Publisher : <![CDATA[LLDIKTI Wilayah X ]]>
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DOI: 10.22216/jit.2020.v14i2.5319
<![CDATA[There have been many studies conducted to determine the effect of differentiation strategies in business. Even so, there is still little empirical research that focuses on the impact of the blue ocean strategy on customer behavior in the financial services industry, especially banking. This study evaluates the effect of the blue ocean strategy on customer behavior and how it impacts on bank performance. Two hundred eighty-two customers from 20 Islamic commercial banks and Islamic business units filled out an online questionnaire. Overall, we found that the blue ocean strategy had a positive effect on advocacy behavior and customer loyalty. In addition, we find that advocacy does not have a significant effect on perceptions of bank performance, while loyalty has a significant positive effect on perceptions of bank performance. This result has implications for the importance of further research on the effects of the blue ocean strategy and the importance of sharia banking adopting this strategy consciously and systematically to increase customer loyalty and bank performance.]]>
<![CDATA[ANALYSIS OF ACCURACY IMPROVEMENT IN RANDOM FOREST USING PRINCIPAL COMPONENT ANALYSIS (PCA) ]]>
<![CDATA[Hanna Willa Dhany]]>;
<![CDATA[Muhammad Iqbal]]>
<![CDATA[ Jurnal Ipteks Terapan Vol 14, No 2 (2020): JIT ]]>
Publisher : <![CDATA[LLDIKTI Wilayah X ]]>
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DOI: 10.22216/jit.2020.v14i2.5377
<![CDATA[Decision tree is used to classify a data that still does not know its class to existing classes. The data testing path is the first step that the root node goes through and finally the leaf node will predict the class for the data that has been concluded. Random Forest cannot be relied on for data types that have different categorical variables and therefore needs to be improved in the classification process, this is influenced by differences in the value of the variable. Therefore a method is needed to reduce features that are less relevant to the process of determining accuracy in the classification of the Random Forest method. In research conducted on the PCA + Random Forest classification model, using the Water Quality Status Dataset that has been simplified into 5 attributes, 4 classes and 117 instances with an accuracy rate of 91.43% with a classification error rate of 8.57%. Based on the test results from the four classification models, it can be concluded that the success of the PCA can be used as a reference to improve the accuracy performance of the Random Forest classification model]]>
<![CDATA[APPLICATION OF PROFILE MATCHING METHOD AS THE ELECTION OF PRIVATE UNIVERSITIES IN MEDAN FOR SMK STUDENTS ]]>
<![CDATA[Lavenia Ulandari]]>;
<![CDATA[Purwa Hasan Putra]]>
<![CDATA[ Jurnal Ipteks Terapan Vol 14, No 2 (2020): JIT ]]>
Publisher : <![CDATA[LLDIKTI Wilayah X ]]>
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DOI: 10.22216/jit.2020.v14i2.5378
<![CDATA[Profile Matching Method outline is the process of comparing individual competencies into system competency standards so that the results of competency comparison can be known. Decision Support System or Decision Support System which we then briefly in this thesis becomes SPK, is generally defined as a system that is able to provide good capabilities, problem-solving abilities, and communication skills for semi-structured problems. Specifically, the DSS is defined as a system that supports the work of a manager in solving semi-structured problems by providing information or proposals leading to certain decisions. From this description the authors designed a decision support system to help vocational students in the selection of private universities in Medan]]>
<![CDATA[THE EFFECT OF EXPERIMENTAL MARKETING ON REVISIT INTENTION TOURISTS IN MANDEH ISLAND TOURISMN OBJECT, PESISIR SELATAN REGENCY ]]>
<![CDATA[Vicky Brama Kumbara]]>;
<![CDATA[M Afuan]]>;
<![CDATA[Ramdhani Bayu Putra]]>
<![CDATA[ Jurnal Ipteks Terapan Vol 14, No 2 (2020): JIT ]]>
Publisher : <![CDATA[LLDIKTI Wilayah X ]]>
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DOI: 10.22216/jit.2020.v14i2.5368
<![CDATA[The aims of this study is to analyze the influence of sense, feel, think and act on the interest of tourists visiting Mandeh Island tourism object in Pesisir Selatan Regency. This research is a type of causative research. The population in this study is the tourist in Mandeh Island tourism object. Purposive sampling was used to take a sample, there are 100 people chosen as a sample by using the William G. Cochran formula. The data analysis technique used is multiple regression analysis using the SPSS program. The results of the study based on multiple regression analysis showed that the variables of sense, feel, think and act had a significant effect on the interest of tourists visiting Mandeh Island tourism object.]]>
<![CDATA[ANALYSIS OF DETERMINATION OF TRY OUT MATHEMATICS SKILLS OF STUDENTS IN IPA 1 SMA N 1 KECAMATAN WITH CLUSTERING METHODS - MEANS ]]>
<![CDATA[Sri Tria Siska]]>;
<![CDATA[Rahayu Mayang Sari]]>
<![CDATA[ Jurnal Ipteks Terapan Vol 14, No 2 (2020): JIT ]]>
Publisher : <![CDATA[LLDIKTI Wilayah X ]]>
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DOI: 10.22216/jit.2020.v14i2.5376
<![CDATA[In this study aims to analyze the determination of the ability of TRY OUT Mathematics students majoring in Natural Sciences in SMA N.1 Kecamatan to get an information that is useful for schools in determining students based on their grades. In processing these data we use data mining with the K-Means Algorithm Clustering Method. Data Mining is extracting information from a large amount of data. The information that was obtained was in the form of groups of students with high grades, medium grades and low grades. The test that we do uses the existing application, RapidMiner, so that it can be determined by the desired student clusters]]>
<![CDATA[Analysis Of The Use Of X-Means Method In Grouping Interest And Talent Data Students ]]>
<![CDATA[Purwa Hasan Putra]]>;
<![CDATA[Muhammad Syahputra Novelan]]>
<![CDATA[ Jurnal Ipteks Terapan Vol 14, No 2 (2020): JIT ]]>
Publisher : <![CDATA[LLDIKTI Wilayah X ]]>
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DOI: 10.22216/jit.2020.v14i2.5414
<![CDATA[The X-Means algorithm is an algorithm used for grouping data. The x means algorithm is the development of k-means. X-means clustering is used to solve one of the main weaknesses of K-means clustering, namely the need for prior knowledge about the number of clusters (K). In this method, the true value of K is estimated in an unsupervised way and only based on the data set itself. The research results using the X-Means algorithm with Davies-Bouldin Index evaluation Determination of the number of Centroid clusters is done by modifying the X-Means method. In grouping this data, clustering is performed on each student data of the collected variables. Each student's gift and interest will be matched with the college and department of what each student is interested in]]>
<![CDATA[EFFECTIVENESS OF DEVELOPMENT ANDRA’S NURSING INFORMATIC SYSTEM APPLICATION (ANNISA) TOWARDS NURSING DOCUMENTATION COMPLETENESS ]]>
<![CDATA[Candra Saputra]]>;
<![CDATA[Yulastri Arif]]>;
<![CDATA[Fitra Yeni]]>
<![CDATA[ Jurnal Ipteks Terapan Vol 14, No 2 (2020): JIT ]]>
Publisher : <![CDATA[LLDIKTI Wilayah X ]]>
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DOI: 10.22216/jit.2020.v14i2.5326
<![CDATA[Nurses have an important role in improving the completeness of nursing documentation. Increasing the completeness of nursing documentation can be done through changing paper-based documentation to electronic-based with the development of ANNISA applications. The ANNISA application developed is oriented to NNN Linkage nomenclature. The purpose of this study was to determine the effectiveness of ANNISA development on the completeness of nursing documentation. This study conducted using a quantitative research with a quasy experimental design and a Time Series Non Equevalent Control Group Design approach. The sampling technique used was proportional random sampling with a total sample of 96 nurses in health center Pekanbaru City. The results showed that there were differences in the measurement Completeness of nursing documentation between pretest and postest measurement in the intervention group (p Value = 0,000 <α = 0.05) and there were differences in completeness of nursing documentation between the intervention group and the control group in the pretest, postest-1 and postest-2 measurement (p Value = 0,000 <α = 0.05). there was an increase in differences Completeness of nursing documentation from pretest , posttest-1 and postest-2 measurements after ANNISA model development in the intervention group and the control group (p Value = 0,000 <α = 0.05). It is expected that the health center can use the ANNISA application as an alternative in solving the problem of completing nursing documentation carried out by nurses in the Health Center Pekanbaru City]]>
<![CDATA[COMPARISON OF AIR QUALITY DATA ACCURATION USING DECISION TREE AND NEURAL NETWORK METHOD ]]>
<![CDATA[Fahmi Izhari]]>;
<![CDATA[Hanna Willa Dhany]]>
<![CDATA[ Jurnal Ipteks Terapan Vol 14, No 2 (2020): JIT ]]>
Publisher : <![CDATA[LLDIKTI Wilayah X ]]>
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DOI: 10.22216/jit.2020.v14i2.5389
<![CDATA[In research conducted on the Neural Network classification model that has been tested has an accuracy of 82.04% with a classification error rate of 17.96%. Meanwhile, the Decision Tree classification model has an accuracy rate of 99.38 %% with a classification error rate of 0.62%. Based on the test results from the two classification models, it can be concluded that the success of the Decision Tree can be used as a reference to improve the performance of the classification model's accuracy compared to the Neural Network Backpropagation model.]]>
