Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Tubagus Bakhrul Alam
Universitas Bina Bangsa
Economics, Econometrics & Finance Mathematics

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
OPTIMALISASI KEUNTUNGAN PRODUKSI MAKANAN MENGGUNAKAN PEMROGRAMAN LINEAR MELALUI METODE SIMPLEKS Tubagus Bakhrul Alam; Anggita Megasari; Ernawati Ernawati; Siti Ayu Amalia; Nenden Gustika Maulani; Isnaini Mahuda
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 1 No. 2 (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 (433.975 KB) | DOI: 10.46306/bay.v1i2.22

Abstract

Meatballs are a type of meatball that is commonly found in Indonesian cuisine. Meatballs are generally made from a mixture of ground beef and tapioca flour, but there are also meatballs made from chicken, fish, or shrimp. Although meatballs are a chinese food, but this food has been found in Indonesia and is common. Meatballs have the characteristics of each region in Indonesia and many people like it. The purpose of this study is to optimize the sales profits of fish meatballs and fish meatball crackers. To obtain maskimal benefits, the right formula is needed through production planning with linear programming. One method that can be used in linear progamming is the simplex method that serves to find the optimum solution. Linear programming is a simplex method that works to find the optimum solution. Based on the results of linear programming analysis of the amount of fish meatball production obtained optimal profit formula Z = 500,000X1 + 200,000X2. From the calculation of the simplex method it can be concluded that there is an increase in sales profit of Rp.875,000 if the production of fish meatballs against the type of fish meatballs (X2) is increased as much as the previous production amount. The difference between the profit before and after optimization amounted to Rp. 175,000
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
Co-Authors Anggita Megasari Ernawati Ernawati Mahuda, Isnaini Nenden Gustika Maulani Siti Ayu Amalia Sri Sukmawati