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ANALYSIS OF BLOOD COCKLE SHELL CONTENT AS A BIOCOMPOSITE MATERIAL ON ULTISOL SOIL Sari Rahmiati; Yopy Mardiansyah; Vitri Aprilla Handayani; Moh. Arafat Wasiru
Analit : Analytical and Environmental Chemistry Vol. 9, No. 01 April (2024) Analit : Analytical and Environmental Chemistry
Publisher : Jurusan Kimia FMIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/analit.v9i01.167

Abstract

This research used blood cockle shells (Anadara granosa) originating from consumption waste in the Batam City area. Cockle shell samples were taken and prepared for analysis of mineral content using the FTIR method, including CaCO3 and other minerals. The blood cockle shells were applied to ultisol soil in Batam City to improve its fertility. The shells were crushed into a fine powder, then mixed with ultisol soil with several treatments, including 0 grams (control), 10 grams, 20 grams, and 30 grams with a soil mass composition of 220 grams for each treatment. The mixture of soil and shell powder was stirred until homogeneous before being applied to mustard greens plants. Based on the research results, the addition of shell powder had an effect on the level of plant fertility. The experimental results carried out showed an effect on each treatment given. This is in line with statistical testing with analysis of variance, obtaining a sig. value of 0.037 < α = 5% (0.05), indicating a significant difference in treatment for each treatment.
Analisis Quality Function Deployment (Qfd) Untuk Pengembangan Sistem Electro Pneumatic Berbasis Programmable Logic Controller (Plc) Pada Mesin Semi Otomatis Tester Coding Battery Chandra Aditya Luhur Wicaksono; Ansarullah Lawi; Yopy Mardiansyah
Teknosia Vol. 19 No. 1 (2025): Vol. 19 No. 01 (2025): June 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/teknosia.v19i1.41182

Abstract

This research aims to develop a semi-automatic battery voltage testing machine using electro-pneumatic technology controlled by a Programmable Logic Controller (PLC) at PT VARTA Microbattery Indonesia. This machine is designed to enhance the efficiency and accuracy of testing lithium round cell 2/3 AA batteries, which were previously tested manually. The machine development utilizes the Quality Function Deployment (QFD) method, which identifies user needs through interviews and questionnaires, then translates them into technical characteristics within the system. The analysis using the House of Quality (HoQ) showed that the main priorities are testing accuracy, speed, ease of operation, and safety. This system integrates electro-pneumatic components, sensors, and PLC to control the machine's movements, ensuring a more efficient and consistent production process. The results indicate that the implementation of this semi-automatic machine can reduce the testing cycle time and improve battery production productivity.
ANALYSIS OF CONCERN REPORT AND STOP WORK AUTHORITY ON EMPLOYEE OCCUPATIONAL SAFETY AT PT XY Meldra, Delia Meldra; Yopy Mardiansyah
JURNAL LOGISTICA Vol. 4 No. 2 (2026): VOL 4.NO.2.JUNI 2026
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/xa45nn38

Abstract

Occupational health and safety is a crucial aspect in manufacturing industries as it directly affects employee productivity and well-being. PT XY still faces occupational accident risks despite implementing an Occupational Health and Safety Management System. This study aims to analyze the effect of Concern Report Card and Stop Work Authority implementation on employee safety levels. This research uses a descriptive method with a cross-sectional approach. Data were collected through document studies, field observations, and interviews, including work accident data in 2023 and the implementation data of Concern Report and Stop Work in 2024 in the machine shop and weldshop departments. Data analysis was conducted using the Ryan–Joiner normality test and multiple linear regression. The results show that Concern Report and Stop Work significantly affect employee safety improvement with p-values < 0.05. The implementation of both programs successfully reduced workplace accidents and achieved zero accident conditions for eight months in 2024. Therefore, Concern Report and Stop Work are effective tools for improving safety culture in manufacturing industries.