JOURNAL OF INTERCONNECTION NETWORKS最新文献_第5页

Organization Cybernetics for Railway Supplier Selection 铁路供应商选择的组织控制论

IF 0.7

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2021-06-17 DOI: 10.15575/JOIN.V6I1.689

M. Jayakrishnan, Abdul Karim Mohamad, Mokhtar Mohd Yusof

引用次数: 0

Implementation of Fuzzy C-Means for Clustering the Majelis Ulama Indonesia (MUI) Fatwa Documents 模糊C-Means在印尼伊斯兰教法特瓦文件聚类中的实现

IF 0.7

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2021-06-17 DOI: 10.15575/JOIN.V6I1.591

Fajar Rohman Hariri

引用次数: 2

A Fast Dynamic Assignment Algorithm for Solving Resource Allocation Problems 一种求解资源分配问题的快速动态分配算法

IF 0.7

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2021-06-17 DOI: 10.15575/JOIN.V6I1.692

Ivanda Zevi Amalia, Ahmad Saikhu, Rully Soelaiman

{"title":"A Fast Dynamic Assignment Algorithm for Solving Resource Allocation Problems","authors":"Ivanda Zevi Amalia, Ahmad Saikhu, Rully Soelaiman","doi":"10.15575/JOIN.V6I1.692","DOIUrl":"https://doi.org/10.15575/JOIN.V6I1.692","url":null,"abstract":"The assignment problem is one of the fundamental problems in the field of combinatorial optimization. The Hungarian algorithm can be developed to solve various assignment problems according to each criterion. The assignment problem that is solved in this paper is a dynamic assignment to find the maximum weight on the resource allocation problems. The dynamic characteristic lies in the weight change that can occur after the optimal solution is obtained. The Hungarian algorithm can be used directly, but the initialization process must be done from the beginning every time a change occurs. The solution becomes ineffective because it takes up a lot of time and memory. This paper proposed a fast dynamic assignment algorithm based on the Hungarian algorithm. The proposed algorithm is able to obtain an optimal solution without performing the initialization process from the beginning. Based on the test results, the proposed algorithm has an average time of 0.146 s and an average memory of 4.62 M. While the Hungarian algorithm has an average time of 2.806 s and an average memory of 4.65 M. The fast dynamic assignment algorithm is influenced linearly by the number of change operations and quadratically by the number of vertices.","PeriodicalId":53990,"journal":{"name":"JOURNAL OF INTERCONNECTION NETWORKS","volume":"1 1","pages":"118-127"},"PeriodicalIF":0.7,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88926169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Interactive Learning Media for Cellular Communication Systems using the Multimedia Development Life Cycle Model 使用多媒体开发生命周期模型的蜂窝通信系统交互式学习媒体

IF 0.7

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2021-06-17 DOI: 10.15575/JOIN.V6I1.544

Hasanah Putri, Iqbal Shadiq, Gigin Gantini Putri

{"title":"Interactive Learning Media for Cellular Communication Systems using the Multimedia Development Life Cycle Model","authors":"Hasanah Putri, Iqbal Shadiq, Gigin Gantini Putri","doi":"10.15575/JOIN.V6I1.544","DOIUrl":"https://doi.org/10.15575/JOIN.V6I1.544","url":null,"abstract":"Based on the observations conducted to the students of Diploma of Telecommunications Engineering Telkom University. It revealed that the students have difficulty learning and understanding the chapters of call processing and network optimization in the course of cellular communication systems. It has resulted from the current learning media, which are only in the form of textbooks and Powerpoint slides considered less attractive. Hence, the learning process becomes ineffective and has an impact on low learning outcomes. In this study, an interactive learning media was designed with the Multimedia Development Life Cycle (MDLC) method, Adobe Flash professional CS6 software, using the action script 2.0 programming language. Learning media were designed according to users’ needs and learning outcomes of cellular communication system courses. Based on the testing results, the functionality showed 100% of features function as design specifications. Meanwhile, the user satisfaction testing results obtained an average MOS of 4.73, which means that the learning media is classified great. Furthermore, based on the quantitative testing, the average value of Quiz after using this interactive learning media was 81, which means that the learning media can increase students’ interest so that it affects the increase in learning outcomes by 66% from previous years.","PeriodicalId":53990,"journal":{"name":"JOURNAL OF INTERCONNECTION NETWORKS","volume":"60 1","pages":"1-10"},"PeriodicalIF":0.7,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86051970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

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

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2021-06-17 DOI: 10.15575/JOIN.V6I1.704

Anwar Siswanto Musliman, A. Fadlil, A. Yudhana

{"title":"Identification of White Blood Cells Using Machine Learning Classification Based on Feature Extraction","authors":"Anwar Siswanto Musliman, A. Fadlil, A. Yudhana","doi":"10.15575/JOIN.V6I1.704","DOIUrl":"https://doi.org/10.15575/JOIN.V6I1.704","url":null,"abstract":"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.","PeriodicalId":53990,"journal":{"name":"JOURNAL OF INTERCONNECTION NETWORKS","volume":"36 1","pages":"63-72"},"PeriodicalIF":0.7,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78942900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2021-06-17 DOI: 10.15575/JOIN.V6I1.701

D. Kurniadi, A. Mulyani, I. Muliana

{"title":"Prediction System for Problem Students using k-Nearest Neighbor and Strength and Difficulties Questionnaire","authors":"D. Kurniadi, A. Mulyani, I. Muliana","doi":"10.15575/JOIN.V6I1.701","DOIUrl":"https://doi.org/10.15575/JOIN.V6I1.701","url":null,"abstract":"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.","PeriodicalId":53990,"journal":{"name":"JOURNAL OF INTERCONNECTION NETWORKS","volume":"537 1","pages":"53-62"},"PeriodicalIF":0.7,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76992286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2020-12-21 DOI: 10.24252/JOIN.V5I2.17667

Evi Lusiana, Muh. Zukri Malik, Suriyani Suriyani

{"title":"EFEKTIFITAS KEGIATAN EMPOWERMENT EDUCATION DALAM MENINGKATKAN SELF EFFICACY PASIEN KANKER PAYUDARA DI RS.UMUM KOTA MAKASSAR","authors":"Evi Lusiana, Muh. Zukri Malik, Suriyani Suriyani","doi":"10.24252/JOIN.V5I2.17667","DOIUrl":"https://doi.org/10.24252/JOIN.V5I2.17667","url":null,"abstract":"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","PeriodicalId":53990,"journal":{"name":"JOURNAL OF INTERCONNECTION NETWORKS","volume":"137 1","pages":"136-145"},"PeriodicalIF":0.7,"publicationDate":"2020-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75753041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2020-12-08 DOI: 10.15575/JOIN.V5I2.668

S. Supriyanto, M. Harika, Maya Sri Ramadiani, D. R. Ramdania

引用次数: 0

Author Index: Volume 20 (2020) 作者索引:第20卷(2020)

IF 0.7

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2020-12-01 DOI: 10.1142/s0219265920990017

引用次数: 0

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

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2020-07-23 DOI: 10.24252/join.v5i1.10473

Hertiana Hertiana, Ariyanti Saleh

引用次数: 0