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ANALYSIS OF PROPOSED IMPROVEMENTS TO MINIMIZE PIPE LEAKS AND DECREASE IN WATER QUALITY USING TOTAL QUALITY MANAGEMENT METHOD: A CASE STUDY OF PT.XYZ Gadih Ranti; Ni Made Sudri; Yenny Widianty; Ade Haris Sutisna
Journal of Industrial Engineering Management Vol 7, No 1 (2022): Journal of Industrial Engineering and Management Vol 7 No 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v7i1.949

Abstract

PT. XYZ is a company engaged in the management of clean water supply systems in an ABC industrial area managed by PT. ABC. PT.XYZ experienced the problem of water loss which can be categorized as high in the production process of 15.5% and in the distribution process of 32.6%, where this value exceeds the standard set by the government. This water loss is caused by pipe leaks, which then has an impact on the declining quality of clean water. In this study, the TQM (Total Quality Management) approach was used to overcome these problems. Based on research, the company has implemented the majority of the principles of TQM and has a positive impact on better performance in providing clean water for PT.ABC. The recommendation is proposed by investing in additional infrastructure in the form of a Water Treatment Plant (WTP).
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