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Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Published by Universitas Bina Bangsa
ISSN : 27757463     EISSN : 27757455     DOI : https://doi.org/10.46306/bay
Core Subject : Economy, Education,
Economics, Econometrics & Finance Mathematics
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika adalah Jurnal Ilmiah yang terbit secara daring pada bulan MARET dan SEPTEMBER. untuk menyebarluaskan hasil-hasil penelitian dalam bidang Statistika, Ekonometrika dan sub ilmu statistika lainnya.
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 74 Documents
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ANALISIS PENGARUH JENIS KELAMIN, TINGKAT SEMESTER DAN MEDIA SOSIAL TERHADAP IPK MAHASISWA DENGAN PENDEKATAN BINARY LOGISTIC REGRESSION: Studi kasus mahasiswa Universitas Bina Bangsa Sri Sukmawati; Isnaini Mahuda; Ernawati Ernawati; Tubagus Bakhrul Alam
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 1 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.537 KB) | DOI: 10.46306/bay.v3i1.46

Abstract

Student Grade Point Average (GPA) is a number that shows the achievement or progress of student learning cumulatively from the beginning of the semester to the end. Many things can affect a student's GPA score. This study aims to see the relationship between gender, semester level and student time in using social media on the GPA obtained. The method used is binary logistic analysis (Binary Logistic Regression / BLR) with 1 response variable and 3 predictor variables. The Y categorical data is the GPA of students who are categorized and . Another categorical variability is gender. The conclusions show that student GPA can be explained by variables in the study or student GPA is influenced by gender, semester level and student time in using social media
OPTIMISASI PRODUKSI USAHA MIKRO KECIL MENENGAH (UMKM) SARI RATU BAKERY DENGAN MENGGUNAKAN METODE PROGRAM LINIER FUZZY Fakhraini Zahra Afifa; Sajaratud Dur; Fibri Rakhmawati
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 1 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.976 KB) | DOI: 10.46306/bay.v3i1.47

Abstract

For Law No. 20 of 2008 is a Micro, Small and Medium Enterprises intending to increase and increase its business in the chart so that the national economy is rooted in a just economic democracy. Micro, Small and Prohibiting Efforts (UMKM) have contributed a lot to the development of the Indonesian economy. This significant position has urged many countries including Indonesia to then try to develop MSMEs. This research discusses the optimization of Sari Ratu Bakery profits using fuzzy linear programming. With a tolerance of 10% as the ability of Sari Ratu Bakery and without tolerance as a comparison. The calculation results of the Fuzzy Linear Program with a tolerance of 10%, the profit earned by Sari Ratu Bakery is Rp. 1,288,000 while the profit without adding tolerance is Rp. 1,226,667. While the profit without the Fuzzy Linear Program Production Optimization is Rp. 940,000. Therefore optimizing using Fuzzy Linear Programming is more efficient and can be used for optimizing production profits
PENERAPAN METODE DEMPSTER SHAFER UNTUK MENDIAGNOSIS PENYAKIT PADA TANAMAN KOL Rizki Hannum; Machrani Adi Putri Siregar; Nenna Isya Syaputri
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 1 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (407.474 KB) | DOI: 10.46306/bay.v3i1.50

Abstract

Cabbage is a seasonal plant that contains vitamin A, vitamin B complex, iron, potassium, rivoplafin and folic acid. The problems that often occur with cabbage are pests and diseases which are a serious problem, if not handled properly, the plants may die or not grow properly. Diseases that often attack cabbage are wilting leaves, root rot, fruit and flowers. The limited time of an agricultural expert is an obstacle for farmers to carry out consultations to solve a problem to get the best solution. The process of diagnosis with the help of experts can be applied to the Dempster Shafer method. The Dempster Shafer method is a solution in diagnosis because this method can provide additional information in the form of the percentage of confidence in the disease suffered by an object. The results of this study indicate that from the symptoms obtained using the Dempster Shafer method in 3 cases given by farmers, the percentage of confidence was 82% for wet rot disease, 73.3% for black leg rot disease and 73% for powdery mildew disease, so this method assessed can be applied to the diagnosis of diseases in cabbage plants
HUBUNGAN MOTIVASI BELAJAR DENGAN TINGKAT PROKASTINASI AKADEMIK MAHASISWA STATISTIKA UII Nidzar Zulmi Dwisyahputra; Putri Stania Adhiana; Anisa Srikandi; Edy Widodo
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 1 No. 1 (2021): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (150.934 KB) | DOI: 10.46306/bay.v1i1.51

Abstract

Currently, with the condition of lectures online or through online classes which are more to demand students to be proactive in learning activities and are expected to get assignments outside of class hours. However, in reality the task becomes a burden for students and many of them feel bored and tired. Boredom and tiredness cause students to stay away from tasks that must be completed and tend to procrastinate. Procrastination which is usually carried out in an academic environment is also known as academic procrastination because what is postponed is tasks that are in the academic area. In fact, one of the targets of the Statistics study program at the Islamic University of Indonesia is to obtain good achievements for graduates of the Indonesian Islamic University while in the outside world. This shows that Statistics Indonesia Islamic University expects its students to have high enthusiasm in learning and studying. Therefore, the researcher wants to prove whether there is a relationship between learning motivation and the procrastination level of 2019 Islamic University of Indonesia statistics students by using correlational quantitative methods. So that we get the results that in fact there is no significant correlation between the procrastination variable and the learning motivation variable
COMPARISON PERFORMANCE NON-HIERARCHICAL CLUSTER: Case Study: Central Java Regional Competitiveness Index Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Dyah Purwanti; Sigit Budiantono
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 1 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.516 KB) | DOI: 10.46306/bay.v3i1.52

Abstract

The Regional Competitiveness Index (RCI) is a benchmark for measuring a region's ability to compete in a market. RCI covers several indicators, including infrastructure, human resource quality, innovation, and government policies supporting economic growth. This study aims to test the performance of several non-hierarchical cluster techniques. The data used Regional Competitiveness Index data in 35 Cities in Central Java in 2022 from the National Research and Innovation Agency (BRIN). The optimal number of clusters recommended using the Elbow method technique is as many as 3. The K-Means method is the best considering the largest Silouhette and R2 values and the smallest AIC/BIC. Cluster 1 has negative values for Pillars 2, 4, 9, and 10. Members in this cluster are Sukoharjo, Magelang City, Surakarta, Salatiga, Pekalongan City, and Tegal City. On the other hand, Cluster 2 has only one negative value for pillar nine. The members of this cluster are Semarang City. The third cluster is only positive in pillar nine and pillar 28. The members of this cluster are as many as 28 other districts. A comprehensive and targeted policy is needed so that the competitiveness index of the Central Java region continues to increase
PENGARUH BELANJA PEMERINTAH TERHADAP PRODUKSI SEKTOR USAHA MIKRO MENENGAH DI MASA PANDEMI COVID-19 MENGGUNAKAN MODEL STATISTIK Dandy Ananda Patria Wirawan; M. Heru Akhmadi
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 1 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.308 KB) | DOI: 10.46306/bay.v3i1.53

Abstract

Various policies have been implemented to reduce poverty levels after the COVID-19 pandemic. The government focuses on increasing government spending in various sectors, especially in the economic sector. Government Expenditure Allocation Economic Function continues to be increased in order to maintain national economic stability through various programs. The capital program for MSME actors, by channeling financing with installments and low interest, namely Ultra Micro Financing (UMi). The provision of assistance to Micro, Small and Medium Enterprises (MSMEs) aims to maintain the continuity of the business being run. With the movement of the economic wheels at the smallest level, it is expected to provide a multiplier effect on economic growth. Based on the results of previous research, it is known that the Realization of Government Expenditure on Economic Functions has a significant effect on the realization of GDP. However, how will it impact the COVID-19 pandemic? The purpose of this study is to determine the effect of Central Government Expenditure on Economic Function on the Production of Small and Medium Enterprises. The study used multiple linear regression method with panel data from 34 provinces in Indonesia. The data period used is 2019-2021. The independent variables used are Average Length of Schooling (RLS), Number of Cooperatives, UMi Financing Distribution, and Realization of Government Expenditure on Economic Functions. While the dependent variable uses the Annual Production Increase of Micro Enterprises. From the test results, it can be concluded that the Realization of Government Spending on Economic Functions can have a significant and positive impact on the Production of Small and Medium Enterprises during the COVID-19 pandemic
PERBANDINGAN ANALISIS PERAMALAN DOUBLE EXPONENTIAL SMOOTHING DAN TRIPLE EXPONENTIAL SMOOTHING PADA INDEKS HARGA KONSUMEN DI YOGYAKARTA Lazuardy Ilham Effendie; Utami Putri Wysnawati; Qurratul Ainunnisa
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 1 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (337.025 KB) | DOI: 10.46306/bay.v3i1.54

Abstract

The Consumer Price Index, commonly known as the CPI, is an index derived from calculating the average price change of a good and service in a period consumed by the population for a certain period of time. The CPI is a vital indicator used in calculating inflation, and inflation plays an important role in the economy. Thus, the CPI movement greatly affects the cost of living needed by each citizen for goods and services consumed and can provide an overview of inflation or deflation. This paper aims to provide a future picture to the government to provide an upcoming policy and show that it needs special attention for all circles. The data used in this research is the CPI in DI Yogyakarta from January 2012 to April 2022. The CPI data from January 2012 to April 2022 is forecasted using two methods, namely Double Exponential Smoothing and Triple Exponential Smoothing. MSE (Mean Square Error) and MAPE (Mean Absolute Percentage Error). Then the two methods are compared, and the best method is Double Exponential Smoothing with the MAPE value is 0.976, the MAPE value <10% means that forecasting with Double Exponential Smoothing can be said to be good and can be used
IMPLEMENTATION BINARY LOGISTIC MODEL ON FACTORS AFFECTING A PERSON'S SMOKING STATUS Yunita Yunita; Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Ni Komang Semara Yanti; Putu Pande Wahyu Diatmika
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 2 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v3i2.55

Abstract

This study aims to determine factors influencing a person's smoking status. The independent variables used were gender, working status, marital status, age, and average length of schooling. The data comes from the 2014 Indonesian Family Life Surveys (IFLS). The analytical method used is binomial/binary logistic regression. The results showed that all of the independent variables significantly affected a person's decision to smoke. Partially, age, working status, marital status, and gender positively affect a person's decision to smoke. This result means that at a higher age, a working, married and male person has a greater chance to smoke than a younger, single/not married, and female. On the other hand, the average length of schooling significantly negatively affects smoking, meaning that the higher the education, the lower the chance of smoking. Therefore, regulations that are right on target, both by the government and society, are needed to reduce the number of smokers in Indonesia
ANALISIS KLASTER MENGGUNAKAN METODE HIERARKI UNTUK PENGELOMPOKKAN PENGELUARAN PERKAPITA RUMAH TANGGA DI SUMATERA UTARA Raidhatul Ilmi; Machrani Adi Putri Siregar; Silvia Harleni
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 2 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v3i2.56

Abstract

Capita household expenditure is the cost incurred for the consumption of all family members for a month divided by the number of family members adjusted for purchasing power parity. It is necessary to pay attention to the factors that affect the level of household expenditure. Several factors that affect household expenditure are divided into two parts, namely food and non-food expenditure. Household expenditure in each region has different characteristics, therefore it is necessary to group regions so that solutions can be implemented according to each region's characteristics. The purpose of this research is to classify districts/cities in North Sumatra based on the factors that influence per capita household spending in each region using cluster analysis based on the single linkage and complete linkage methods. Cluster analysis is grouping into clusters so that the objects in the cluster are more similar to one another than the objects in other clusters. From the results of cluster analysis using the single linkage and complete linkage methods, it shows that there are four Regency/City groups that are combined based on each factor that influences household per capita expenditure
METODE JUST IN TIME DAN ALGORITMA WAGNER WITHIN DALAM PENGENDALIAN PERSEDIAAN ALAT KESEHATAN Reka Rahmawi; Rina Filia Sari; Ana Uzla Batubara
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 2 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v3i2.57

Abstract

Inventory control needs to be considered because it has a very important meaning in running the company’s business, such as in the medical device distributor company Prima Jayac Alkes. The problem discussed is only for sterile non-electromedical medical devices, namely Disposable 1cc, 3cc, 5cc, and 10cc. In this study, two methods of comparision of inventory control systems will be presented, namely calculating the total cost between the Just in Time (JIT) method and Wagner Within Algorithm. The purpose of this study is to perform a comparative analysis of the cost of medical equipment inventory using the Just in Time methods and the Wagner Within algorithm. Based on the calculation result result in the acquisition of total inventory costs, it shows that the Wagner Within Algorithm methods obtains lower costs compared to Just in Time and company’s actual system for Disposable Syringe 1cc and Disposable Syringe 5cc. Meanwhile,  for Disposable Syringe 3cc and Disposable Syringe 10cc, the Just in Time Methods has a lower cost compared to Wagner Within Algorithm and Company’s actual system

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