cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kab. jember,
Jawa timur
INDONESIA
UNEJ e-Proceeding
Published by Universitas Jember
ISSN : -     EISSN : -     DOI : -
Core Subject : Education,
Arjuna Subject : -
Articles 1,005 Documents
PERAMALAN TINGKAT INFLASI DI INDONESIA TAHUN 2022 MENGGUNAKAN METODE HOLT-WINTERS DENGAN OPTIMASI GOLDEN SECTION Vera Sutriani
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Inflation is a significant indicator of maintaining the stability of a country's economy, so it is essential to control the inflation rate through economic policies. Thus, necessary to estimate the rate of inflation. Estimates in mathematics are called forecasting. This research will focus on forecasting the inflation rate in Indonesia using a quantitative forecasting method, namely the Holt-Winters exponential smoothing with parameter optimization using the Golden Section. Formulations of this research are: (1) Which method is better for forecasting the inflation rate in Indonesia in 2022? (2) What are the results of forecasting? This research is applied research. The object is data on the inflation rate in Indonesia period 2017-2021, obtained from the Bank Indonesia website. Methods This research is a literature study collecting information related to the Holt-Winters method and the optimization of the Golden Section. The results of this study are: (1) the Holt-Winters Multiplicative method with the optimization of the Golden Section is better than the Holt-Winters Additive method with the optimization of the Golden Section to predict the inflation rate in Indonesia in 2022; (2) The forecasting results are as follows: 1.94%; 2.20%; 2.37%; 2.74%; 3.08%; 3.17%; 3.20%; 3.21%; 3.21%; 3.21%; 3.13%; 3.28%. Keywords: Inflation, Forecasting, Holt-Winters, Golden Section
BEBERAPA SIFAT ALJABAR DAN ARITMATIK PADA NORMA CONE DAN HASIL KALI DALAM CONE Sadjidon Sadjidon; Sunarsini Sunarsini
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pada paper ini dipelajari tentang ruang bernorma cone dan ruang hasil kali dalam cone, khususnya pada ruang . Selanjutnya dikonstruksi dan didefinisikan multiplication pada norma cone dan hasil kali dalam cone sehingga diperoleh beberapa sifat aljabar dan aritmatiknya. Keywords: Ruang bernorma cone, Ruang hasil kali dalam S-cone, sifat aljabar dan aritmatik pada norma cone, hasil kali dalam cone
A-LAREAL (APP LAW AND REPRODUCTIVE HEALTH): INNOVATION OF SEXUAL VIOLENCE LAW APPLICATIONS AS A PROMOTIONAL AND PREVENTIVE EFFORT Tolak Haris; Lubis Nuril Ubaidilla; Vannia Raisha Putri Adita; M. Elyas Arif Budiman
UNEJ e-Proceeding 2022: The 2nd International Student Conference 2022
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background: Adolescent are one of the targets in reproductive health. Sexual violence is considered a major adolescent health problem with short and long term effects on physical and mental health. Sexual violence is considered a major adolescent health problem with short and long term effects on physical and mental health. Correct sexual knowledge will lead adolescents towards rational and responsible sexual behavior and can help make important personal decisions related to sexuality so that they can avoid reproductive health problems. Knowledge of legal issues related to community sexual violence in Indonesia is still lacking. Purpose: The major aim of the study is to find out A-LAREAL (App Law and Reproductive Health) effective as a promotive and preventive effort to improve reproductive health. Methods: In the development of this application the method used is: ADDIE, there are stages in the method ADDIE that is Analyze (Analysis), Design (design), Development (Development), Implementation (Implementation), Evaluation (Evaluation), data collection using study literature and distributing questionnaires to 40 respondents. Results: The major findings of the research in this paper show that respondents' perceptions of A-LAREAL in the very good category (57.5%), good (32.5%), pretty good (10%). In general, the perception of health workers, legal experts, teachers and youth towards A-LAREAL is very good. It is hoped that the development of this application will soon be realized so that it becomes one of the efforts to promote and prevent reproductive health and can be immediately used by the wider community. Conclusion: With this application, it is hoped that adolescent, parents, teachers, and the public can use ALAREAL in accessing information about reproductive health education, legal assistance, counseling, and sharing.
ANALISIS KEPUASAN PENYINTAS COVID-19 PADA PROGRAM PENDAMPINGAN KELUARGA PASIEN COVID-19 Aprilia Damayanti; Dwi Endah Kusrini; Mukti Ratna Dewi
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Covid-19 pandemic that attacked Indonesian society had considerable impact, both physically and mentally. Various kinds of efforts have been made by the government by opening KOGABWILHAN II Surabaya (RSLK) Field Hospital. RSLK in the process of healing patients not only focuses on medical field, but also non-medical by holding a Covid-19 Patient Family Assistance Program. RSLK has been established for 2 years, but currently the level of Covid-19 survivor satisfaction of the program and factors that affect satisfaction are unknown. To determine the Covid-19 survivor satisfaction of the program and affecting factors, using Binary Logistic Regression, obtained that satisfaction probability of Covid-19 survivors is 0,998 based on significant variables namely, reliability, responsiveness and assurance and the classification accuracy is 97,23%%. Meanwhile, to find out what factors are considered important and need to be maintained using Importance Performance Analysis obtained, average of satisfaction level is 3,381 included in scale 3 means "satisfied", and satisfaction factors spread dominantly in Quadrant II (Maintain Achievement) namely, identification of companion volunteers, ability of companion volunteers to deal with complaints or problems and questions from patients, accuracy of companion volunteers providing services and suitability of existing procedures, and speed of helping from companion volunteers. Keywords: Binary logistic regression, covid-19 patient family support program, importance performance analysis, satisfaction
MODEL REGRESI POISSON UNTUK PENDUGAAN FAKTOR-FAKTOR YANG MEMPENGARUHI COVID-19 DI PULAU SUMATERA Gusmi Kholijah; Niken Rarasati; Corry Sormin
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Covid-19 which has hit various countries in the world has become a scary thing for people to do activities outside the home. So that to carry out community activities, they must follow the rules of the health protocol that have been set, such as wearing masks, washing hands and keeping a distance. Covid-19 cases that occur can be spread through interactions between infected people. The interaction between communities is not only carried out in each region, but can be carried out between provinces within a region. The extent of interaction between people at this time can lead to the easy spread of Covid-19 cases. So that the number of COVID-19 cases can appear in several areas. The existence of a relationship between several predictor variables that affect the response variable in the form of count data can be referred to as Poisson regression. The dominant factors that caused the large number of Covid-19 sufferers on the island of Sumatra were the population, poverty level, income, regional temperature, compliance with wearing masks and compliance with maintaining distance. Keyword: Covid 19, Poisson, Regression
PENGGUNAAN DERET IN UNTUK MENENTUKAN RERATA ORDE TINGGI FUNGSI POLINOMIAL DENGAN CARA LANGSUNG Stephanus Ivan Goenawan; Kumala Indriati
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The High Order Average (ROT) value in the data is an extension of the First Order Mean. There are two methods to find the High Order Average, namely the first step by step and the second directly. The ROT method can directly use the IN Series. Because the process of adding data in stages does not need to be done one by one, the direct ROT method is more effective and efficient. In this study, the two methods will be compared to each other with the results of calculating the ROT data from polynomial functions. ROT calculation results from both methods have the same value. Keywords: Average, IN Series, Interpolation, ROT
KAJIAN TEORI: PENGEMBANGAN BAHAN AJAR MODEL PROBLEM BASED LEARNING BERNUANSA STEM UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS Adinda Ratna Ningtyas
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

One of the efforts to help students improve their critical thinking ability is by using teaching materials using STEM nuanced Problem Based Learning models. The Problem Based Learning model is a learning model that is very suitable for use in student-centered learning processes to stimulate higher-order thinking and can improve students' critical thinking in real-world problem-oriented situations. STEM is a learning approach that combines two or more fields of science contained in STEM, namely Science, Technology, Engineering, and Mathematics. The research method used is Systematic Literature Review. This method focuses on gathering information relevant to the topic being studied. The results of the study show that the development of teaching materials using STEM-based Problem Based Learning models can improve students' critical thinking ability. The results of these study, can then be used as further research that is interesting to study, namely the process of developing teaching materials for Problem Based Learning models with STEM nuances to improve critical thinking ability. Keywords: Critical Thinking Ability, Problem Based Learning, STEM.
ALGORITME PARTITIONING AROUND MEDOID (PAM) DENGAN CALINSKI-HARABASZ INDEX UNTUK CLUSTERING DATA OUTLIER Aliyatussya’ni Aliyatussya’ni; Dewi Retno Sari Saputro
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The process of gathering information from a mathematical pattern in big data to help make decisions is called data mining. Cluster analysis is a multivariate statistical analysis technique that groups observations based on several variables based on the level of similarity. Clustering is a technique in data mining that aims to group data into several clusters. Data objects that have high similarity will be in the same cluster. Outliers data that is different from other data. In statistics, the presence of this outlier will result in data analysis being biased and not reflecting the actual phenomenon. Partitioning Around Medoid (PAM) or K-Medoid is a non-hierarchical-based clustering algorithm. The steps carried out in the PAM algorithm are grouping the data by dividing the data into n groups. Calinski-Harabasz Index is one of the methods used to determine the best number of clusters. The purpose of this study was to examine the PAM algorithm on data containing outliers and the Calinski-Harabasz Index as a method for selecting the best cluster. The results showed that the PAM algorithm and the Calinski-Harabasz Index have good robustness for outlier data. Keywords: Calinski-Harabasz Index, Clustering, Outlier, PAM
AHP DENGAN MATRIKS PREFERENSI DALAM ALJABAR MAX-PLUS I Gusti Ngurah Rai Usadha
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Analytical Hierarchy Process (AHP) is a decision-making method to determine the best alternative from a number of alternatives based on certain criteria. One of the fundamental problems in AHP is how to obtain a preference matrix for a number of alternatives. In this paper, a preference matrix is formed so that it meets certain conditions in Tropical Algebra. Furthermore, the maxplus operation is applied to obtain the eigenvectors of the preference matrix that describes the steady state condition. A case study was conducted on determining the priority of road maintenance in Bangkalan Regency. The calculation results show that there is a conformity with the results of previous studies. Keywords: Analytical Hierarchy Process, preference matrix, eigenvectors, steady state.
DESCRIPTION OF THE SYMPTOMS OF HYPERTENSION CHARACTERISTICS CONFIRMED BY COVID-19 AT THE INPATIENT INSTALLATION OF PANEMBAHAN HOSPITAL, YOGYAKARTA IN 2020 Fitri Andriani Fatimah; Anis Febri Nilansari; Rahmad A Hi Wahid
UNEJ e-Proceeding 2022: The 2nd International Student Conference 2022
Publisher : UPT Penerbitan Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background: The trend of hypertension is increasing every year. It is estimated that 1.13 billion people worldwide have hypertension 2/3 of low-middle income countries. Hypertension is the highest comorbid group in COVID-19 patients, which is 50.5%. This causes an increased risk of dangerous infections that can lead to death. The fact that the SARS-Cov-2 virus uses the Angiotensin Converting Enzym-2 receptor as an entry point to colonize in the body can cause vasoconstriction and inflammation that can worsen the incidence of hypertension and cardiovascular disease. Purpose: This study aims to determine the characteristics of hypertensive patients with confirmed COVID-19 in the inpatient installation of Panembahan Hospital, Senopati, Bantul in 2020. Methods: This study is a descriptive observational study using secondary data in the form of medical records conducted at Panembahan Hospital, Senopati, Bantul. A total of 21 medical record samples were taken that met the inclusion criteria. Samples were taken from December to October 2020 using the total sampling technique. Results: The results of data analysis using the SPSS program obtained a total of 21 samples that met the criteria. There were 10 male patients (47.6%), female 11 patients (52.4%), age >54 years totaling 15 patients (71.4%). The dominant symptoms felt were cough, fever, headache, shortness of breath, malaise, abdominal pain and sore throat totaling 19 patients (90.4%). Conclusion: COVID-19 disease with the most comorbidities is Hypertension, Hypertension with Diabetes Mellitus, followed by Hypertension with Chronic Kidney Failure. The therapy patterns that are often used in Panembahan Hospital, Senopati, Bantul for hypertension patients with Covid-19 are Calcium Channel Blocker (Amlodipine), Angiotensin Receptor Blocker (Valsartan and Candesartan), and Loop Diuretics (Furosemide and Spironolactone).

Page 88 of 101 | Total Record : 1005


Filter by Year

2012 2023


Filter By Issues
All Issue 2023: 5th International Agronursing Conference (5th IANC) In Conjunction with 1st International Post 2023: Prosiding Kolokium Pengabdian kepada Masyarakat Fakultas Kesehatan Masyarakat 2022: The 2nd International Student Conference 2022 2022: E-Prosiding Kolokium Hasil Penelitian dan Pengabdian kepada Masyarakat Periode II Tahun 2022 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK) 2022: E-Prosiding Kolokium Hasil Penelitian dan Pengabdian kepada Masyarakat 2021: International Conference on Management, Business, and Technology (ICOMBEST) 2021 2020: Proceeding of The 4th International AgroNursing Conference 2020: E-PROSIDING SEMINAR NASIONAL PEKAN CHAIRIL ANWAR 2018: Proceedings 4th Annual International Conference on Economic in Developing Countries 2018: Prosiding Seminar Nasional Manajemen dan Bisnis III (SNMB3) 2018: Prosiding Seminar Nasional Manajemen dan Bisnis III (SNMB3) 2018: Pembangunan Pertanian dan Peran Pendidikan Tinggi Agribisnis: Peluang & Tantangan di Era Indus 2017: Proceeding of 3rd International Nursing Conference Proceeding of International Conference on Food Sovereignty and Sustainable Agriculture (FoSSA) 2017 Seminar Nasional Ekonomi dan Bisnis (SNAPER-EBIS 2017) Fakultas Ekonomi dan Bisnis Universitas Jembe 2016: Proceeding The 1st International Basic Science Conference Indonesian Protein Society (IPS), International Seminar and Workshop 2014 Indonesian Protein Society (IPS), International Seminar and Workshop 2014 Prosiding Seminar Nasional Pemuliaan 2014 International Conference on Agribusiness Marketing (ICAM) 2012, Faculty of Agriculture, University o the 3rd International Conference on Economics, Business, and Accounting Studies Proceeding of 1st International Conference on Medicine and Health Sciences (ICMHS) Dinamika Global: Rebranding Keunggulan Kompetitif Berbasis Kearifan Lokal More Issue