Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Quantitative Economics and Management Studies
Syahputra, Akbar
Unknown Affiliation
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Mathematics Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
The Effect of Management Information Systems on Managerial Performance in PT. Sucofindo (Persero) Ramadhani, Ayulita; Syahputra, Akbar; Hermawan, Dedi
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 4 (2022): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i4.7310

Abstract

This study aims to determine the effect of Management Information Systems on managerial performance at PT. SUCOFINDO (Persero) Medan Branch Office. The population in this study were employees of the company totaling 33 people. Hypothesis testing with the help of SPSS program IBM Statistics version 25. Based on the results of this study indicate that the independent variable in this case is the management information system has a positive and significant influence on the dependent variable in this case is the managerial performance with significance value is 0.009 < 0.05. Then the management information system affects the managerial performance at PT. SUCOFINDO (Persero) Medan Branch Office.
ANALISIS SITOGENETIKA PADA TANAMAN KAILAN (Brassica oleraceae L.) Syahputra, Akbar; Febriani, Husnarika; Idami, Zahratul
Ekologia: Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Vol 24, No 1 (2024): Ekologia : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/ekologia.v24i1.9790

Abstract

Cytogenetics is a combination of cytology and genetics which studies the genetic system in cells. Cytogenetic analysis is a combination of cytogenetics (about cells) and genetics which explains the relationship between cellular events (especially chromosomes) and genetic phenomena. The objects observed in cytogenetic analysis are chromosomes. Cytogenetic analysis research has been carried out on kailan plants (Brassica oleraceae L.) with the aim of observing the effective time of mitotic division in kailan plants, the stages of mitotic division, the number and shape of chromosomes in kailan plants (Brassica oleraceae L.). The material used in this research is young roots of the kailan plant. The method used in this research is the squash method. The results of cytogenetic analysis research on kailan plants (Brassica oleraceae L.) showed that the effective time of mitotic division was 08.00 WIB and obtained an overview of the stages of prophase, prometaphase, metaphase, anaphase and telophase, the number of chromosomes of kailan plants (Brassica oleraceae L.) was 2n = 9 pairs of chromosomes or 18 chromosomes, with 5 pairs of metacentric chromosome forms in numbers 2, 3, 4, 5, and 8, and 4 pairs of submetacentric forms in numbers 1, 6, 7, 9.
Backpropagation Neural Network Method For The Classification of Districts/Cities Based On Macro Socio-Economic Indicators In The Province Of South Sulawesi Rais, Zulkifli; Sudarmin; Syahputra, Akbar
Quantitative Economics and Management Studies Vol. 6 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3982

Abstract

Classification is a way of grouping objects based on the characteristics possessed by the objects of classified. One of the developing classification methods is the backpropagation neural network. This study aims to look at the descriptive and classification results of the District/City Macro Socioeconomic Indicators in South Sulawesi Province. The data set comprises 24 observations with 9 variables, namely population density, poverty line, Gini ratio, open unemployment rate, life expectancy, average length of schooling, labor force participation rate, life growth rate, and GRDP at current prices. A model with a total of 9 hidden layers and a learning rate of 0.002 is obtained with an accuracy of 70%, precision of 70%, recall of 100%, and F1 score of 87%.
Co-Authors Dedi Hermawan Husnarika Febriani, Husnarika Rais, Zulkifli Ramadhani, Ayulita Sudarmin Zahratul Idami