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WORKSHOP JUNIOR DATA SCIENTIST Mega Bagus Herlambang; Ni Made Sudri; Linda Theresia; Gadih Ranti; Yasmin Mauliddina; Silvia Merdikawati; Aditya Maulana; Dedes Bangkit Munawar; Nafia Rahmah
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 3 (2025): Volume 6 No 3 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i3.37859

Abstract

The Junior Data Scientist Workshop, conducted on August 25, 2024, was designed to introduce participants to foundational concepts in Data Science and essential data analysis tools, with a focus on the Orange platform. Five students with a keen interest in data science attended the event. The workshop utilized a blend of theoretical instruction and practical application, guiding participants through key processes such as data cleaning, statistical analysis, and data visualization. Post-workshop evaluations indicate that 85% of participants demonstrated a marked improvement in their understanding of Data Science concepts and methods. Despite the participants’ successful application of analysis techniques, several challenges were noted in comprehending complex statistical principles, suggesting a potential benefit from supplementary instructional sessions. This workshop has contributed significantly to advancing participants’ data literacy and analytical competencies, equipping them with critical skills essential for data-driven decision-making
Inventory Optimization of Copper Slag Using Safety Stock and Reorder Point at PT. XYZ Silvia Merdikawati; Ni Made Sudri; Mega Bagus Herlambang; Yasmin Mauliddina; Nazmalila Ardya Kheisya
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 2 (2026): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i2.3954

Abstract

This study aims to determine an appropriate inventory control policy for copper slag material by applying the safety stock (SS) and reorder point (ROP) methods at PT. XYZ. While previous studies have extensively discussed inventory control for main raw materials, this research specifically examines production support materials with highly fluctuating demand patterns in a continuous production system, which is a key novelty of this study. The research was conducted using a quantitative descriptive approach based on historical data of material usage and kiln operational activities from January to June 2025. The results demonstrate that material consumption is directly influenced by kiln operational intensity, rather than occurring randomly. The calculation yields a safety stock of 2,106.12 tons and a reorder point of 3,511.00 tons at a 95% service level. These values serve as an operational signal to prevent stockouts during lead times without causing excessive inventory levels. This study highlights that data-driven inventory management effectively enhances production system resilience against demand uncertainty in the cement industry.
The Implementation of an Integrated Pull System to Improve Work Effectiveness in the Raw Material Laboratory of PT. XYZ Aproditha Alya Chairani; Silvia Merdikawati; Ni Made Sudri
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 1 (2026): Januari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i1.3566

Abstract

PT. XYZ is a company in the cosmetics sector. In its product development process, the raw material laboratory in the R&D division experienced obstacles in the raw material trial process, which caused 15.2% of trial journals to be temporarily halted and placed on hold. This research was conducted to maintain the availability of raw materials in the laboratory and improve the smoothness of the trial process. The approach used was quality control and improvement through the concept of a pull system, lean manufacturing, and the Quality Control Circle method. Improvements made included the implementation of a pull system for raw material management, rescheduling of checking and material preparation pickets, and strengthening personnel discipline towards SOPs in all trial stages. The evaluation results showed a decrease in the number of obstacles per week from 10 obstacles to 0 obstacles in the 10th week of 2025. This research contributes to providing a model for improving laboratory efficiency through the integration of a pull system to increase speed and accuracy in the product development process.