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UNEJ e-Proceeding
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Articles 1,005 Documents
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KEKUATAN SISI REFLEKSIF PADA GRAF RANTAI SEGITIGA Wulan Indah Saputri; Diari Indiarti
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Given a simple connected graph  with set of vertices is  and set of edge is . A graph  is called to have an edge irregular reflexive -labeling if each vertices can be labeled with an even positive integer  and each edge can be labeled with a positive integer  such that each edge has a different weight. The weight of an edge  on a graph  is the sum of the vertex label , vertex label , and  edge label. The reflexive edge strenght of a graph  denoted by  is the minimum  of the largest label in graph  with . In this paper, we determine the reflexive edge strenght of the triangular chain graph -path for . The reflexive edge strenght of the triangular chain graph -path is 3 for ,  for  is even and , and  for  is odd. Keywords: Edge irregular reflexive labeling, reflexive edge strenght, and triangular chain graph
APROKSIMASI PADA GRUP Dian Winda Setyawati; Subiono Subiono
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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Abstract

A non-empty set with binary operations on a set is called a group if the set satisfies the associative property, the existence of an identity, and the existence of an inverse for each element of the set . A normal subgroup in group can partition group into equivalence classes so that a lower approximation and an upper approximation can be formed from the non-empty set corresponding to the normal subgroup . Let be a non-empty subset of , the lower approximation of corresponding to the normal subgroup is defined as the set of elements in where the equivalence class of the element is a subset of while the upper approximation of corresponding to the normal subgroup is defined as the set of elements in where the equivalence class of the element intersects the set . In this paper, we will give more general properties regarding the relationship between the upper approximation and the lower approximation by involving two different normal subgroups of group and two different sets that are subsets of group . Furthermore, we will show the corollary of these properties if we use one normal subgroup and one subset of group . Keywords: equivalence classes, lower approximation, upper approximation
LEVEL OF PERIPHERAL NEUROPATHY IN TYPE 2 DIABETES MELLITUS PATIENTS IN JEMBER DISTRICT Ana Nistiandani; Jon Haffan Sutawardana; Risma Eka Putri Ariyani K.D
UNEJ e-Proceeding 2022: The 2nd International Student Conference 2022
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Diabetic neuropathy is a heterogeneous entity, consisting of peripheral sensorimotor and autonomic nerve dysfunction conditions. Diabetic peripheral neuropathy has a broad impact on patients, including recurrent infections, ulcers that do not heal and amputations of fingers and toes. This study aims to be able to overcome these risks, screening for neuropathy can be carried out including autonomic, sensory, and motor examinations.The research method uses a cross-sectional exploratory quantitative descriptive. The sample is 100 people using probability sampling method, namely multistage random sampling. The research locations are in 5 working areas of the Jember District Health Center (Bangsalsari, Umbulsari, Kalisat, Arjasa, and Patrang). Inclusion criteria for Type 2 Diabetes Mellitus (T2DM) patients aged 18 - 65 years, diagnosed with T2DM, did not have diabetic ulcers, did not have amputation of both legs, and suffered > 1 year. The exclusion criteria were no hospitalization and no communication disorders. The research instrument used the Michigan Diabetic Neuropathy Score (MDNS), Michigan Neuropthy Screening Instrument (MNSI), screening with the Ipswich Touch Test (IpTT), screening with the Monofilament Test.T2DM respondents experienced multiple autonomic damage to the right leg (52%; 53%). Sensory damage in T2DM patients on the right and left legs showed normal results (63%). Motor damage is dominated by normal conditions on the right and left legs as much as (49%; 52%) and there is a decrease in muscle strength on the right and left (50%; 47%).Based on the results, there is still a moderate risk of T2DM patients experiencing peripheral neuropathy. The provision of nursing care in screening early conditions is an action to reduce risk and improve the patient's quality of life.
METODE REGRESI LOGISTIK BINER DAN METODE K-NEAREST NEIGHBOR PADA KLASIFIKASI MENOPAUSE DINI WANITA DISTRIK ORANSBARI PROVINSI PAPUA BARAT Indah Ratih Anggriyani; Eka Dewi Kusumawati; Elda Irma Jeanne Joice Kawulur
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Machine learning is a developing part of artificial intelligence. One part of that is classification. Two classification methods in this study are binary logistic regression and k-nearest neighbor. Both methods were applied to cases of women with early menopause in Oransbari district West Papua Province. The aim is to determine the effectiveness of the two methods in several conditions of training and testing data. The data with the proportion of 80% training and 20% testing resulted in the best level of effectiveness. In general, the binary logistic regression method produces a higher model accuracy than the kNN method. The accuracy of predicting women with early menopause is higher than the binary logistic regression method. Keywords: Binary Logistics Regression, K-Nearest Neighbor, Classification Method, Early Menopause
ANALISIS PENDEKATAN STEM DENGAN MODEL PBL TERHADAP KEMAMPUAN MATEMATIS SISWA DALAM PENDIDIKAN MATEMATIKA Mia Aulia Vikayatri
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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Abstract

The emergence of the era of disruption due to rapidly developing technology has had many impacts on life. One of them is changes in the world of education, including mathematics education, that require renewal. This article aims to analyze the STEM (Science, Technology, Engineering, and Mathematics) approach with the PBL (Problem Based Learning) model on students' mathematical abilities in mathematics education/learning. The research method used is a literature study using data analysis techniques consisting of three stages, namely organize, synthesize, and identify. The data analyzed in this study is the result of reflections from several articles in both national and international journals. The results describe the STEM approach with the PBL model on students' mathematical abilities. Based on the results and discussion, the STEM approach with PBL model can improve students' mathematical proficiency, such as problem-solving skills, creative thinking, critical thinking, mathematical connections, mathematical communication, mathematical literacy, mathematical understanding, and positive student responses. These abilities are needed in the era of disruption and industrial revolution 4.0. The advice given is that further research is needed on the implementation of the STEM approach with the PBL model in mathematics education/learning to improve students' mathematical abilities. Keywords: mathematics ability, mathematics education, problem-based learning, STEM approach
METODE HIGH ORDER FUZZY TIME SERIES MULTI FACTORS DENGAN ALGORITMA FUZZY C-MEANS Yuni Wulandari; Dewi Retno Sari Saputro
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Clustering is the process of grouping data into several clusters so that the data in a cluster has a high degree of similarity between data with one another but is very different from the data in other clusters. Fuzzy clustering is a technique to determine the optimal cluster in a vector space based on the Euclidian normal form for the distance between vectors. Fuzzy clustering is very useful for fuzzy modeling, especially in identifying fuzzy rules. There are various kinds of fuzzy clustering techniques, one of which is Fuzzy Cluster-Means (FCM). Fuzzy C-Means clustering is a data clustering technique in which the existence of each data point in a cluster is determined by the degree of membership. The purpose of this study is to examine the High Order Fuzzy Time Series Multi Factors method with Fuzzy C-Means in order to get k locations of the data cluster center points as many as k which are then used to form subintervals. The results show that Fuzzy C-Means replaces the process in the High Order Fuzzy Time Series Multi Factors method, which is when the subinterval is formed. Keywords: Clustering, Fuzzy C-Means, Metode High Order Fuzzy Time Series Multi Factors.
PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA BERBASIS AUGMENTED REALITY Anggrainy Wulandari; Samijo Samijo; Darsono Darsono
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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Abstract

This research is motivated by the rapidly technological development that can be used in purpose of making a learning media more interesting and concise. One of the learning media development is Augmented Reality. Augmented Reality become popular right now. By using Augmented Reality as an alternative learning media, it is hoped that a learning activity can be more interesting for students. The problem of this research is whether Augmented Reality-based mathematics learning media on flat-sided geometry with sub-materials of surface area and volume of flat-sided geometry attracts students? This research is using Research and Development (R&D) type. The result of this research is that the augmented reality-based mathematics learning media, named GEORANS, is very decent to be used in the learning process in schools, in accordance with the results of validation by five validators with successive percentages of 92.5 percent, 92.5 percent, 87.5 percent, 97.5 percent, 82.5 percent. As well as the average results of the questionnaire conducted by class VIII MTS NU Plosoharjo students obtained a percentage of 84.17 percent. The conclusion is that the learning media GEORANS is categorized as fascinating learning media to use at school. Keywords: Learning Media, Augmented Reality, Flat-sided Geometry
PENERAPAN DATA MINING DAN PEMETAAN UNTUK STRATEGI PENCAPAIAN MUTU PENDIDIKAN SMA DI KALIMANTAN SELATAN Desy Ika Puspitasari; Al Fath Riza Kholdani; Tri Wahyu Qur'ana; Mirza Yogy Kurniawan
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Indonesia is still mapping the quality of its education system to improve the quality of the country's education. The SNP value classification has been carried out by the Education Quality Assurance Institute (LPMP) into two categories: Strengths and Weaknesses. Senior high schools that have not achieved SNP 4 scores are classified as weak, while those that have achieved SNP 4 and SNP are classified as strong. This study uses data mining and mapping approaches to organize the SNP values ​​of high school (SMA) in South Kalimantan district. The study's classification results showed that the Random Forest approach had the highest accuracy, with a precision of 0.969 for neat data and an accuracy of 0.925 for missing value data. Based on the mapping visualization, the differences fluctuate between districts, which occur in the categories of availability of labor, laboratories, and librarians. It is hoped that the Provincial Government, through the Education Office of South Kalimantan Province, will provide competent laboratories, libraries, and librarians to encourage the National Education Standards (SNP). This study provides information about the quality of education through the SNP effectiveness approach. Keywords: classification, data mining, education, mapping.
IMPLEMENTASI DEEP LEARNING DENGAN CONVOLUTIONAL NEURAL NETWORK UNTUK KLASIFIKASI GAMBAR SAMPAH ORGANIK DAN ANORGANIK Octavia Devi Safitri Sunanto; Putranto Hadi Utomo
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Indonesia is the second largest plastic waste contributor in the world. This is due to the lack of maximum waste recycling process. Recycling of waste is one way to reduce the amount of waste that accumulates in the environment. The recycling process starts from the process of separating waste. In mathematics, the waste separation process can be applied using the Convolutional Neural Network model. Convolutional Neural Network (CNN) is one of the deep learning methods that can be used to detect and recognize an object on a network digi- tal image. This study will determine the CNN (Convolutional Neural Network) model which has high accuracy in sorting waste using the tensorflow method. In this study, an analysis of the CNN that is suitable for the classification of waste sorting will be carried out optimally. So that this algorithm can be used for the implementation of automatic waste separation using the system. This research aims to reduce time and simplify the process of waste separation in the waste recycling stage. Keyword: sampah, anorganik, organik, Convolutional Neural Network, tensorflow.
THE EFFECTIVENESS OF GIVING GINGER HOT DRINKS TO REDUCE NAUSEA AND VOMITING COMPLAINTS IN PREGNANT WOMEN: LITERATURE REVIEW Faisal Akbar; Rika Ayunniawati; Asma Fida Ulya
UNEJ e-Proceeding 2022: The 2nd International Student Conference 2022
Publisher : UPT Penerbitan Universitas Jember

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Abstract

Along with nausea and vomiting, pregnant women enjoy mental, physical, and hormonal changes that lead to many processes, can lead to tissue damage and thus may impair maternal health and fetal development.Initial treatment of pregnancy vomiting may include supplements such as emotional counseling, dietary changes, and administration of ginger wedang. Treatment should be included. The motivation for this literature review is to discover the efficacy of giving ginger wedang to reduce forensic cases of nausea and vomiting in pregnant women. We utilized a literature review that used the keywords 'Ginger (AND) Nausea Vomiting (AND) Pregnancy' and searched for journal articles from 2018 to 2022 using the keyword Schooler. The words "ginger nausea vomiting pregnant". Results from 10 journal articles using a systematic review approach were 1 journal article, 2 randomized controlled trials modified into journal articles, and 7 journal articles. Results from all articles reviewed indicate that a total dose of 250 mg of ginger was taken orally for 4 days for the treatment of ginger wedan when ingested by pregnant girls with complaints of nausea and vomiting. 0.05 is effective. Based on the results of the literature review, it is hoped that this network will realize her Wedang Ginger intervention for pregnant girls complaining of nausea and vomiting and will inform similar studies. Background: Pregnant women will experience psychological, physical, and hormonal changes that cause many complaints, such as nausea and vomiting. Emesis gravidarum if ignored will continue to become hyperemesis gravidarum and if left unchecked can cause tissue damage, so that it can endanger the health of pregnant women and the development of the fetus. Initial therapy in emesis gravidarum should include emotional support, dietary changes, and complementary therapies such as giving ginger wedang Purpose: Analyzing the effectiveness of giving ginger wedang to decrease complaints of nausea and vomiting in pregnant women. Methods: This study uses a Literature Review with a search for journal articles in 2018 to 2022 conducted on the PubMed and Taylor & Francis databases with the keyword "Ginger (AND) Nausea Vomiting (AND) Pregnancy" and Scholar with the keyword "Ginger Nausea Vomiting Pregnant Women". The results obtained were 10 journal articles according to the inclusion criteria using the Systematic Review method of 1 journal article, 2 journal articles Randomized Controlled Trial, and 7 journal articles Quasi-experimental studies. Results: The results of all the articles that have been reviewed show that the administration of ginger wedang is effective for consumption by pregnant women with complaints of nausea and vomiting with a dose of ginger as much as 250 mg within 4 days ​

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