Analisis Pengendalian Kualitas Keripik Singkong Dengan Metode Statistical Quality Control (SQC) Pada Ikm Gazal Makmur Ibu Anggi Di Kabupaten Probolinggo

Rahmah, Dwi Ainur (2026) Analisis Pengendalian Kualitas Keripik Singkong Dengan Metode Statistical Quality Control (SQC) Pada Ikm Gazal Makmur Ibu Anggi Di Kabupaten Probolinggo. Undergraduate thesis, Politeknik Negeri Jember.

[img] Text (Abstract)
Abstract.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (7kB)
[img] Text (Bab 1 Pendahuluan)
Bab 1 Pendahuluan.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (26kB)
[img] Text (Daftar Pustaka)
Daftar Pustaka.pdf - Submitted Version
Available under License Creative Commons Attribution Share Alike.

Download (71kB)
[img] Text (Laporan Lengkap)
Laporan Lengkap.pdf - Submitted Version
Restricted to Registered users only

Download (3MB) | Request a copy

Abstract

This study is motivated by quality issues at IKM Gazal Makmur, characterized by high rates of product defects due to the absence of standardized quality control measures. This study aims to implement a quality control process for cassava chips using the Statistical Quality Control (SQC) method. The research method employed is descriptive quantitative, with a simple random sampling technique of 10% of the total daily production population. The results indicated that the production process at IKM Gazal Makmur is currently out of statistical control. Based on the Pareto Diagram, broken defects were found to be the most dominant type of defect, averaging 44.83%, followed by color and texture defects. Process capability analysis yielded a Cp value of 0.164 and a Cpk value of 0.111, indicating that the current production process is not capable of meeting the desired specification standards. Through the Fishbone Diagram, the root causes of defects were identified as human factors lack of meticulousness, method factors absence of standardized operating procedures, material factors unstable quality of raw materials, machine factors suboptimal performance, and environmental factors. The proposed improvement recommendations include standardizing the slicing stage, utilizing thermometers to control frying temperatures, and providing training for workers on better product handling techniques to minimize defect rates.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDK
Thesis advisorAndini, ParamitaNIDN0026059202
Uncontrolled Keywords: Quality Control, Cassava Chips, Statistical Quality Control (SQC), Process Capability, Defect Analysis.
Subjects: 550 - Rumpun Ilmu Ekonomi > 570 - Ilmu Manajemen > 571 - Manajemen
550 - Rumpun Ilmu Ekonomi > 570 - Ilmu Manajemen > 576 - Manajemen Industri
Divisions: Jurusan Manajemen Agribisnis > Prodi D4 Manajemen Agroindustri > Tugas Akhir
Depositing User: Dwi Ainur Rahmah
Date Deposited: 02 Jul 2026 01:17
Last Modified: 02 Jul 2026 01:18
URI: https://sipora.polije.ac.id/id/eprint/57209

Actions (login required)

View Item View Item