Claim Missing Document
Check
Articles

Found 2 Documents
Search

MENDUKUNG INDUSTRI PERTAHANAN DENGAN ANALISA PROSES PENGOLAHAN BESI SPONS DARI PASIR BESI SEBAGAI BAHAN BAKU BAJA Zaman, Qomaru; Johan, Firman; Nugroho, Hervianto
Journal of Industrial Engineering & Management Research Vol. 3 No. 6 (2022): December 2022
Publisher : AGUSPATI Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7777/jiemar.v3i6.321

Abstract

In coastal areas, there are generally a lot of sand deposits that contain iron sand and many particles contained in it. This iron sand is generally shaped like a rock with high mineral content and because of the weather this rock is eroded by water and sea waves so that it feels like it is being washed. In this condition, iron sand is generally black or gray and tends to be dark. The mineral content in iron sands is usually opaque minerals mixed with granular minerals, calcite, amphbole, quartz, feldspar, biotite, pyroxene, and tourmaline. In addition to this composition, iron sand contains titaniferous magnetite, magnetite, hematite, hematite, basaltic and volcanic andesitic. The methods used in thiss research is to observed and experiment the process of making sponge iron. The method and concept is similar to a cake-making experiment by mixing several raw materials to produce the best composition. In addition to getting the best composition, the process during mixing will also be observed and combined with the results of the composition of the raw materials. From the results of laboratory tests, the composition with variations A2, namely the addition of silica sand by 20% can produce the greatest chemical content of Fe. that is equal to 60.44%. While the lowest chemical content was obtained in the A3 variation with the addition of 20% activated carbon composition. In this condition, research with the addition of silica sand can be increased so that the obtained Fe content can increase.
Pemanfaatan Data Science dalam Meningkatkan Kualitas Pembinaan SDM Militer Nugroho, Dhanang Ghofur; Johan, Firman; Mufidin, Mufidin
EDUKASIA Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 1 (2023): Edukasia: Jurnal Pendidikan dan Pembelajaran
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v4i1.264

Abstract

In today's digital era, data has become a very valuable asset in decision making in the military field. Where, data science can be used for various purposes, such as risk prediction and analysis, policy development, human resource development, operational efficiency improvement, and predicting someone's length of service in the military. However, effective implementation of data science also requires adequate data infrastructure, strict data security, and skilled and trained human resources in data science. The purpose of this study is to discuss the effect of using data science in developing the quality of human resources, where from this point of view data science is considered to be able to make a significant contribution in increasing the effectiveness and efficiency of military human resources development in Indonesia. This research method is a survey method with the aim of obtaining data on the use and benefits of data science in developing military human resources with a sample of 50 people. As for data processing using SPSS software analysis tools. Utilization of data science is the independent variable in this study, while the quality of military human resource development in Indonesia is the dependent variable, with the control variable being the level of education and experience of military human resources. The results of multiple linear regression tests show that the utilization of data science, education level, and experience of military human resources simultaneously has a significant effect on the quality of military human resource development in Indonesia.