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Identification of White Blood Cells Using Machine Learning Classification Based on Feature Extraction 基于特征提取的机器学习分类识别白细胞
IF 0.7 Q4 Computer Science Pub Date : 2021-06-17 DOI: 10.15575/JOIN.V6I1.704
Anwar Siswanto Musliman, A. Fadlil, A. Yudhana
In various disease diagnoses, one of the parameters is white blood cells, consisting of eosinophils, basophils, neutrophils, lymphocytes, and monocytes. Manual identification takes a long time and tends to be subjective depending on the staff's experience, so the automatic identification of white blood cells will be faster and more accurate. White blood cells are identified by examining a colored blood smear (SADT) and examined under a digital microscope to obtain a cell image. Image identification of white blood cells is determined through HSV color space segmentation (Hue, Saturation Value) and feature extraction of the Gray Level Cooccurrence Matrix (GLCM) method using the Angular Second Moment (ASM), Contrast, Entropy, and Inverse Different Moment (IDM) features. The purpose of this study was to identify white blood cells by comparing the classification accuracy of the K-nearest neighbor (KNN), Naive Bayes Classification (NBC), and Multilayer Perceptron (MLP) methods. The classification results of 100 training data and 50 white blood cell image testing data. Tests on the KNN, NBC, and MLP methods yielded an accuracy of 82%, 80%, and 94%, respectively. Therefore, MLP was chosen as the best classification model in the identification of white blood cells.
在各种疾病的诊断中,其中一个参数是白细胞,包括嗜酸性粒细胞、嗜碱性粒细胞、中性粒细胞、淋巴细胞和单核细胞。人工鉴定耗时长,而且容易因工作人员的经验而主观,因此白细胞的自动鉴定将更快、更准确。白细胞是通过检查彩色血液涂片(SADT)来识别的,并在数码显微镜下检查以获得细胞图像。利用角秒矩(ASM)、对比度、熵和逆差矩(IDM)特征对HSV色彩空间分割(Hue、Saturation Value)和灰度共生矩阵(GLCM)方法进行特征提取,确定白细胞图像的识别。本研究的目的是通过比较k近邻(KNN)、朴素贝叶斯分类(NBC)和多层感知器(MLP)方法的分类精度来识别白细胞。100个训练数据和50个白细胞图像测试数据的分类结果。对KNN、NBC和MLP方法的测试分别产生了82%、80%和94%的准确率。因此,选择MLP作为鉴定白细胞的最佳分类模型。
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引用次数: 6
Prediction System for Problem Students using k-Nearest Neighbor and Strength and Difficulties Questionnaire 基于k近邻和优势与困难问卷的问题学生预测系统
IF 0.7 Q4 Computer Science Pub Date : 2021-06-17 DOI: 10.15575/JOIN.V6I1.701
D. Kurniadi, A. Mulyani, I. Muliana
The student counseling process is the spearhead of character development proclaimed by the government through education regulation number 20 of 2018 concerning strengthening character education. Counseling at the secondary school level carries out to attend to these problems that might resolve with a decision support system. So that makes research challenging to measure completion on target because it is not doing based on data. The counseling teacher does not know about student's mental and emotional health conditions, so it is often wrong to handle them. Therefore, we need a system that can recognize conditions and provide recommendations for managing problems and predicting students who have potential issues. The Algorithm used to predict problem students is K-Nearest Neighbor with a dataset of 100 students. The stages of predictive calculation are data collection, data cleaning, simulation, and accuracy evaluation. Meanwhile, building the system is done using the rapid application development methodology where the instrument used to map the student's condition is the Strenght and Difficulties Questionaire instrument. This research is a system to predict problem students with an accuracy rate of 83%. The level of user experience based on the User Experience Questionnaire (UEQ) results in the conclusion that the system reaches "Above Average.". This system is expecting to help counseling teachers implement an early warning system, help students know learning modalities, and help parents recognize the child's personality better.
学生咨询过程是政府在2018年第20号教育条例中提出的“加强品格教育”的“品格发展的先锋”。中学层面的咨询服务是为了解决这些问题,而这些问题可能会通过决策支持系统来解决。因此,这使得衡量目标完成情况的研究具有挑战性,因为它不是基于数据进行的。辅导老师并不了解学生的心理和情绪健康状况,所以处理起来往往是错误的。因此,我们需要一个能够识别条件并为管理问题提供建议的系统,并预测有潜在问题的学生。用于预测问题学生的算法是基于100个学生数据集的k近邻算法。预测计算的阶段包括数据收集、数据清理、模拟和准确性评估。同时,采用快速应用开发的方法进行系统的构建,其中对学生状况进行测绘的工具是优势与困难问卷调查工具。这项研究是一个预测问题学生的系统,准确率为83%。基于用户体验问卷(UEQ)的用户体验水平得出系统达到“中等以上”的结论。该系统旨在帮助辅导教师实施早期预警系统,帮助学生了解学习方式,帮助家长更好地认识孩子的个性。
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引用次数: 3
EFEKTIFITAS KEGIATAN EMPOWERMENT EDUCATION DALAM MENINGKATKAN SELF EFFICACY PASIEN KANKER PAYUDARA DI RS.UMUM KOTA MAKASSAR 就业教育活动在马卡萨市公立医院改善乳腺癌患者的自我效能方面的有效性
IF 0.7 Q4 Computer Science Pub Date : 2020-12-21 DOI: 10.24252/JOIN.V5I2.17667
Evi Lusiana, Muh. Zukri Malik, Suriyani Suriyani
Breast cancer is a problem that often occurs in women both in developed and developing countries. For this reason, it is necessary to prevent the increasing mortality rate, one of which is by increasing self-efficacy which can be achieved by providing advice, information and motivation with empowerment education. Based on this, the researchers conducted this study with the aim of knowing the effect of empowerment education in increasing the self-efficacy of breast cancer patients. The research method used is a quantitative study with a one group test approach. The results obtained are from 5 (five) items of self-efficacy, 3 (three) items that have changed, namely self-confidence in getting information about illness / complaints experienced (p: 0.023), receiving help from the community, family and friends (p. : 0.02), and treats breast cancer disease and symptoms (0.041). Based on these results it can be concluded that empowerment education activities should be one of the activities of providing nursing interventions to breast cancer patients. Keywords: Empowerment Education; Self Efficacy; Breast cancer
乳腺癌是一个在发达国家和发展中国家的妇女中经常发生的问题。因此,有必要防止死亡率的上升,其中之一是提高自我效能感,这可以通过提供建议、信息和赋予权力教育的动机来实现。基于此,研究人员进行了这项研究,目的是了解赋权教育对提高乳腺癌患者自我效能感的作用。研究方法采用单组检验的定量研究方法。获得的结果来自5(5)项自我效能,3(3)项发生了变化,即获得疾病/投诉信息的自信(p: 0.023),接受社区,家庭和朋友的帮助(p: 0.02),以及治疗乳腺癌疾病和症状(0.041)。基于这些结果,可以得出赋权教育活动应成为乳腺癌患者护理干预的活动之一。关键词:赋权教育;自我效能;乳腺癌
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引用次数: 0
Multiscale Retinex Application to Analyze Face Recognition 多尺度视黄线在人脸识别分析中的应用
IF 0.7 Q4 Computer Science Pub Date : 2020-12-08 DOI: 10.15575/JOIN.V5I2.668
S. Supriyanto, M. Harika, Maya Sri Ramadiani, D. R. Ramdania
The main challenge that facial recognition introduces is the difficulty of uneven lighting or dark tendencies. The image is poorly lit, which makes it difficult for the system to perform facial recognition. This study aims to normalize the lighting in the image using the Multiscale Retinex method. This method is applied to a face recognition system based on Principal Component Analysis to determine whether this method effectively improves images with uneven lighting. The results showed that the Multiscale Retinex approach to face recognition's correctness was better, from 40% to 76%. Multiscale Retinex has the advantage of dark facial image types because it produces a brighter image output.
面部识别带来的主要挑战是光线不均匀或黑暗趋势的困难。图像光线很差,这使得系统难以进行面部识别。本研究旨在利用多尺度Retinex方法对图像中的光照进行归一化。将该方法应用到基于主成分分析的人脸识别系统中,判断该方法是否能有效改善光照不均匀的图像。结果表明,采用多尺度Retinex方法进行人脸识别的正确率从40%提高到76%。多尺度Retinex具有深色面部图像类型的优势,因为它产生更亮的图像输出。
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引用次数: 0
Author Index: Volume 20 (2020) 作者索引:第20卷(2020)
IF 0.7 Q4 Computer Science Pub Date : 2020-12-01 DOI: 10.1142/s0219265920990017
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引用次数: 0
PENGARUH PENDIDIKAN KESEHATAN TERHADAP PENGETAHUAN DAN SIKAP REMAJA TENTANG PEMERIKSAAN PAYUDARA SENDIRI PADA SISWI SMK ANALIS KIMIA 健康教育对学生SMK化学分析的胸部检查知识和态度的影响
IF 0.7 Q4 Computer Science Pub Date : 2020-07-23 DOI: 10.24252/join.v5i1.13884
Fatma Jama, Yusrah Taqiyah, Ita S Alis
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引用次数: 1
EFEKTIVITAS PENDIDIKAN KESEHATAN TERHADAP PENGETAHUAN DAN SIKAP KELUARGA DALAM MERAWAT PENDERITA GANGGUAN JIWA DI KOTA PALOPO 卫生教育对治疗帕洛波市精神病人的知识和家庭态度的影响
IF 0.7 Q4 Computer Science Pub Date : 2020-07-23 DOI: 10.24252/join.v5i1.10473
Hertiana Hertiana, Ariyanti Saleh
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引用次数: 0
HUBUNGAN SELF EFFICACY DENGAN QUALITY OF LIFE PADA PASIEN SESUDAH STROKE Hubungan自我效能感登高,生活质量登高,生活质量登高
IF 0.7 Q4 Computer Science Pub Date : 2020-07-23 DOI: 10.24252/join.v5i1.13894
Henny Pongantung, Fransiska Anita, Charlos Palango, Claudio Manuel
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引用次数: 6
EFEK INHALASI AROMATERAPI LEMON, JAHE DAN KOMBINASI TERHADAP FREKUENSI MUAL MUNTAH PADA IBU HAMIL TRIMESTER I 柠檬、生姜的吸入疗法,以及怀孕三个月母亲呕吐频率的结合
IF 0.7 Q4 Computer Science Pub Date : 2020-07-23 DOI: 10.24252/join.v5i1.10395
Miskiyah Tamar, Irna Nursanti, Natsir Nugroho
The pregnancy period in a woman's body experiences many changes or adaptations due to fetal growth needs . Various adaptations during pregnancy are adaptations of physiology to the digestive system, endocrine system and adaptations of psychology. Nausea vomiting are normal in pregnancy which occurs around 50-90 % of pregnant women experience nausea in the first trimester. Nausea vomiting in pregnant women will be better if it is able to overcome the problem of nausea in early pregnancy by using non-pharmacological supplementary therapy. Nonpharmacological therapy is non-instructive, non-invasive, inexpensive, simple, effective, and without adverse side effects. Non - pharmacological therapy can be done by giving aromatherapy. The purpose of this study is to prove the comparison between the lemon, ginger and combination aromatherapy inhalation intervention to decrease nausea and vomiting in pregnant women in the first trimester. The design of this study used Quasi Experiment Pre-Post Test Design. The number of research samples for each group is 10 respondents.The purposive sampling research technique.The measuring instrument used a standard questionnaireRhodes INVR.Data analysis using Wilcoxon test and Kruskal Wallis test. The results showed that there were differences in the Mean rank before and after aromatherapy lemon inhalation interventions, inhalation of ginger aromatherapy, and combination against the frequency of nausea vomiting in pregnant women in the first trimester. The highest pre-post mean rank is the combination of aromatherapy inhalation interventions is 17,60 and post 18.20. It can be concluded that combination intervention is more effective in reducing nausea and vomiting in first trimester pregnant women. Keywords: Lemon aromatherapy , Ginger aromatherapy , Nausea vomit ingin first Trimest er
由于胎儿的生长需要,妇女的身体在怀孕期间经历了许多变化或适应。怀孕期间的各种适应是生理对消化系统、内分泌系统的适应和心理的适应。恶心呕吐在怀孕期间是正常的,大约50- 90%的孕妇在妊娠早期经历过恶心。孕妇的恶心呕吐如果能通过非药物辅助治疗克服妊娠早期的恶心问题,效果会更好。非药物治疗是非指导性、非侵入性、廉价、简单、有效、无不良副作用。非药物治疗可以通过芳香疗法来完成。本研究的目的是证明柠檬、生姜和联合芳香疗法吸入干预对减少妊娠早期孕妇恶心呕吐的比较。本研究采用准实验前后测试设计。每组的研究样本数量为10个受访者。目的抽样研究方法。测量仪器采用标准问卷——负压量表(INVR)。数据分析采用Wilcoxon检验和Kruskal Wallis检验。结果表明,芳香疗法、柠檬吸入干预、生姜吸入和联合芳香疗法对妊娠早期孕妇恶心呕吐频率的平均排名存在差异。最高的职位前平均排名是芳香疗法吸入干预的组合,分别为17,60和18.20。综上所述,联合干预对减轻妊娠早期孕妇的恶心和呕吐更为有效。关键词:柠檬香薰,生姜香薰,孕前恶心呕吐
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引用次数: 1
DUKUNGAN KELUARGA TERHADAP SELF CARE PADA LANSIA DENGAN DIABETES MELITUS TIPE 2 家庭支持老年人自我照顾,患有2型糖尿病
IF 0.7 Q4 Computer Science Pub Date : 2020-07-23 DOI: 10.24252/join.v5i1.14145
H. Heriyanti, S. Mulyono, Lily Herlina
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引用次数: 3
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JOURNAL OF INTERCONNECTION NETWORKS
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