CLASSIFICATION OF THE GEOCHEMICAL COMPOSITION OF METEORITE OF PUNGGUR (ASTOMULYO) BY k-NEAREST NEIGHBOR ALGORITHM

The fall of a meteorite in Astomulyo Village, Punggur, Lampung Province in early 2021 is an interesting topic for further study. This rare object has been suggested to have a unique geochemical composition and a special connection with other meteorites. We aimed to trace its classification by comparing it with other well-known meteorites studied previously. We approach the classification process using the k-nearest neighbor algorithm. The database used 211 represents the geochemical data for each known meteorite group from chemical analyses of meteorites. As a result, we identified that with a k-value = 5 and the proportion of test data 5/95 (in %), the geochemical composition of this meteorite is relatively close to that of the H-type chondrite group with a value accuracy of 91.67%. These results are consistent with the fact that the meteorite of Punggur has a high total iron and metallic composition

The Effects of Development Program in ITERA Dormitory for Student Learning Achievements in First Year Stage Course

The development of student character starts from education process in campus life and residence. The environment is less comfortable and effective in the learning process will affect student achievement. To overcome this, the Institute of Technology of Sumatra (ITERA) provides a new student dormitory which one of the place that can provide an effective learning environment because the coaching programs provided such as peer tutors aim to develop learning achievement in TPB Program. The relationship of coaching program in the dormitory to student achievement on First Year Stage Course (TPB) can be analyze use simple regression method. The data that used in this method are questionnaire, mid test score and final test, especially in Basic Mathematics. The results of the analysis stated that the coaching program at the Dormitory resulted in higher learning achievement than those outside the dormitory

PERAN WORK-LIFE BALANCE DAN KEPUASAN KERJA TERHADAP KINERJA KARYAWAN MILENIAL: STUDI LITERATUR

Maintaining work-life balance has become one of the issues faced by many employees and organizations all over the world. The purpose of this paper is to investigate the role of work-life balance and job satisfaction on millennial employee performance. The literature study was based on 22 empirical studies from any national and international journals. The result suggests that work-life balance and job satisfaction were significantly related to job performance in the millennial generation. Millennial employees interested in work-life balance and flexibility, it will affect job satisfaction and improve their job performance. The limitation of this research is only for the full-time millennial employee, who was born in 1980-2000. For further research, it can compare part-time and full-time workers to find out the relationship between work-life balance and job satisfaction on millennial employee performance. Keywords: job performance; job satisfaction; millennial generation; work-life balance

A graph theory approach to the dormitory room placement problem

One of the important areas in mathematics is graph theory. A graph is a mathematical structure used to model pairwise relations between objects. The theory of graph can be applied in various problems. The purpose of this paper is to solve the dormitory room placement problem using graph theory approach. In this paper, there are two factors used to determine the student room, i.e. the study program and provincial origin

Analisis Rantai Markov dalam Memprediksi Status Pasien COVID-19 di Indonesia

COVID-19 is an infectious disease caused by a new type of corona virus, beta coronavirus. The spread of COVID-19 can occur through human interactions. On March 9, 2020 the WHO (World Health Organization) officially declared COVID-19 a pandemic. This means that COVID-19 has spread widely in the world. Until now, there has not been found a drug to treat COVID-19. So, it is necessary to predict when the COVID-19 pandemic will end. This study discusses the Markov chain method in predicting the status of COVID-19 patients in Indonesia. The prediction of the number of people who are positive for COVID-19, recovered, and die can be one of the government's bases for determining when the large-scale social restrictions (PSBB) will end. The results of the study stated that the COVID-19 pandemic in Indonesia would end at the end of 2020. On December 5, 2020 there were no more people infected with COVID-19 with a cure rate of 29.815% of patients with COVID-19 and a death rate of 3, 5933%

The Effects of Development Program in ITERA Dormitory for Student Learning Achievements in First Year Stage Course

The development of student character starts from education process in campus life and residence. The environment is less comfortable and effective in the learning process will affect student achievement. To overcome this, the Institute of Technology of Sumatra (ITERA) provides a new student dormitory which one of the place that can provide an effective learning environment because the coaching programs provided such as peer tutors aim to develop learning achievement in TPB Program. The relationship of coaching program in the dormitory to student achievement on First Year Stage Course (TPB) can be analyze use simple regression method. The data that used in this method are questionnaire, mid test score and final test, especially in Basic Mathematics. The results of the analysis stated that the coaching program at the Dormitory resulted in higher learning achievement than those outside the dormitory

A Graph Theory Approach to the Dormitory Room Placement Problem

One of the important areas in mathematics is graph theory. A graph is a mathematical structure used to model pairwise relations between objects. The theory of graph can be applied in various problems. The purpose of this paper is to solve the dormitory room placement problem using graph theory approach. In this paper, there are two factors used to determine the student room, i.e. the study program and provincial origin

Fungsi Densitas Peluang Temporal (T-PDF) dari Dinamika Euro terhadap Dolar Amerika Serikat

In this paper we discuss the dynamics of exchange rate of Euro (EUR) relative to United States dollar (USD). The data is observed from daily data in the period 1 January 2005 to 31 December 2012. In this period of global financial crisis which is affected the global economy. Therefore, an understanding of the exchange rate of EUR relative to USD is required. The Data is presented in the form of a diagram of a candlestick (candle). Statistical analysis on a mean of exchange rate of EUR relative to USD is applied to each monthly candle representation. The mean may vary per candle, which means that the mean as a function of time. A function of mean relative to time so commonly referred to as a moving average, or a trend. The continous of a trend is approached with linear interpolation and  polynomial interpolation is based on the mean of the candle every month. The mean and standard deviation of exchange rate of EUR relative to USD generates a probability density function (pdf). A pdf is based on the assumption that the dynamics is normally distributed. The mean is dependent on time is called temporal probability density function (t-pdf). The trend of the dynamics of exchange rate of  EUR relative to USD is implicitly represented in the t-pdf. By knowing t-pdf will help investors know the dynamics of the exchange rate of the EUR against the USD. Keywords: dynamics, exchange rate, candlestick, t-pd

Estimasi Jumlah Mismanaged Plactic Waste (MPW) Berdasarkan Kenaikan Populasi: Studi Kasus 30 Negara Tahun 2019-2022

Abstract: Humans have produced more than 8 billion tons of plastic, more than half of which is directly dumped into landfills and only about 9% is recycled. This makes the author interested in looking at the relationship between population and the amount of waste generated in the hope of helping the government in reducing the amount of waste generated. This study aims to estimate the amount of Mismanaged Plastic Waste (MPW) based on population increase, focusing on 30 countries from 2019 to 2022. The Rank Spearman correlation test method was used to evaluate the relationship between population size and the amount of MPW, showing a strong relationship with a correlation coefficient of 0.60712. Furthermore, an analysis using the Cox-Stuart test was conducted to determine the trend in population size from 2003 to 2022, which showed that there was no clear trend in the population data or an upward trend in the time span. Based on these findings, a predictive estimate of the number of MPW for the period 2019-2020 was conducted, providing additional insight into the impact of population growth on the amount of unmanaged plastic waste in these countries