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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal Serambi Engineering (JSE)
Andini, Dian
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics

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Effect of Purple Leaf (Graptophyllum pictum (L.) Griff) Emulsion on the Histological Parameters of Streptozotocin-Induced Diabetic Rats Dewi, Niluh Puspita; Dewik, Komang; Alaydrus, Syafika; Kasim, Athia Kurnia; Polontalo, Nani Astria; Wirawan, Wayan; Andini, Dian; Irma, Irma; Fatu, Imelda Synthia
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.14172

Abstract

Damage to vital organs such as the liver, kidneys, and pancreas is a common complication of diabetes mellitus, characterized by chronic hyperglycemia due to pancreatic cell dysfunction. Graptophyllum pictum (purple leaf) is a potential herbal therapy containing bioactive compounds with antioxidant and organ-protective effects. This study aimed to evaluate the effect of purple leaf emulsion on blood glucose levels and the histopathological features of diabetic rats induced by streptozotocin. Rats were divided into six groups: normal control, negative control, positive control (glibenclamide), and three doses of purple leaf emulsion (100, 200, and 300 mg/kg BW). After 28 days of treatment, the emulsion significantly reduced blood glucose levels and improved the histological structures of the liver, kidneys, and pancreas. The 200 mg/kg BW dose was most effective for pancreatic protection, while 300 mg/kg BW provided optimal hepatoprotective and renoprotective effects. These findings highlight the potential of purple leaf as a natural antidiabetic and organ-protective agent.
Quality Control Analysis of Handle Switch Spare Parts Using Statistical Quality Control Methods at PT XYZ Andini, Dian; Wahyudin; Benyamine Sulaeman; Dewi Ayu Lestari
Jurnal Serambi Engineering Vol. 11 No. 2 (2026): April 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

PT XYZ is a manufacturing company that produces motorcycle and car spare parts, during the production process, there is still a level of product defect that needs to be controlled, especially in one of the products with the highest production volume during the period of July–December 2024. This study was conducted to determine the level of damage, identify the factors causing the damage and recommend corrective actions. The method used is the Statistical Quality Control (SQC) method using statistical tools including: checksheet, histogram, pareto diagram, P-Chart, and fishbone diagram. The results of the study showed that the most product defects occurred in the short print defect type (36.61%), followed by appearance (17.42%), movement (16.08%), electric (15.77%), printing feel off (8.45%), and skip printing (5.67%). Actions taken to minimize the level of defects include conducting periodic training for operators in terms of part checking and handling procedures, compiling a visual and final inspection checklist to ensure that no steps are missed, adding a handle to the tray to prevent direct hand contact with the part/material, implementing a part inspection checklist before use including checking the dryness of the cavity, performing surface treatment such as wiping and drying the part/material before the printing process, using a cover on the part.
Maintenance Strategy Optimization for Auto Assembly Lever Holder Machine using Black-Box Approach Lestari, Dewi Ayu; Herwanto, Dene; Sulaeman, Benyamine; Andini, Dian
Jurnal Serambi Engineering Vol. 11 No. 2 (2026): April 2026
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Abstract

A manufacturing company that produces automotive components has recorded the auto assembly lever holder machine as the automatic machine with the highest failure frequency throughout 2024. This condition disrupts the smooth operation of the production process and results in decreased production output, often failing to meet company targets. In response to this situation, this study was conducted to estimate the reliability and optimize the maintenance policy of the auto assembly lever holder machine. The study employed a black-box failure modelling approach. A probabilistic approach was also applied by utilizing Weibull distribution properties to estimate system reliability and optimize the machine's maintenance strategy. Based on the conducted analysis, the machine has a cumulative failure probability of over 50% at 300 operating hours, indicating a high tendency for failure. The optimization of the maintenance policy considered both the periodic replacement policy and repair count policy. The optimized maintenance policy for the auto assembly lever holder machine recommends preventive maintenance every 522.305 hours at a lower maintenance cost of Rp 20,680 per hour. Replacement actions are only applied to the critical component. These findings provide a data-driven basis for optimizing machine maintenance strategies and reducing unplanned downtime, thereby improving machine reliability and productivity.
Co-Authors Alaydrus, Syafika Benyamine Sulaeman Dene Herwanto Dewi Ayu Lestari Dewi Ayu Lestari Dewik, Komang Fatu, Imelda Synthia Irma Irma Kasim, Athia Kurnia Niluh Puspita Dewi, Niluh Puspita Polontalo, Nani Astria Sulaeman, Benyamine Wahyudin wirawan, Wayan