Article Per Year (5 Year)
p-Index From 2021 - 2026
0.751
P-Index
This Author published in this journals
All Journal OPSI JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) JUPADAI : Jurnal Pengabdian Kepada Masyarakat
Giyanti, Ida
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Quality control of garment product using DMAIC Six Sigma Tyas, Tiara Cahyaning; Giyanti, Ida
OPSI Vol 17, No 1 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i1.7107

Abstract

Quality control is intended to ensure that the products are in accordance with the predefined standards. PT. XYZ is a garment company that manufactures products with global target market. Hence, product quality assurance becomes an important issue for PT. XYZ. This research focuses on the Just Brand-MCJA216142 jacket product at the sewing work station on line-4 of PT. XYZ. Preliminary observations show that the number of reworked-products was experiencing an increasing trend. This study aims to determine whether the company has carried out quality control properly. Specifically, the research objectives are to identify the type and level of product defects, identify the factors causing product defects, and provide proper improvement suggestions to reduce the occurrence of product defects. This study applied DMAIC (Define–Measure–Analyze–Improve–Control) Six Sigma concept. The results showed that the quality of the Just Brand-MCJA216142 jacket product has exceeded the Indonesian industry average and is classified as the USA industry average. However, quality improvement is still needed since the products are targeted for the export market. Based on Pareto diagram at the Analyze stage, it was found that the most dominant defects occurred in the Just Brand-MCJA216142 jacket production process were broken threads and puckering. The frequency of occurrence for these two types of defect reaches 23% of the total 16 types of defects. The defects were caused by human, machine, material, method, and environmental factors. Recommendations for improvement at the Improve stage are based on root cause analysis of each causative factor that is identified using a fishbone diagram. This research results strengthen the previous related researches regarding the effectivity of DMAIC Six Sigma for analyzing quality control of products.
Studi Penentuan Jumlah Produksi Botol Kemasan Minuman Yang Optimal Dengan Fuzzy Time Series Markov Chain Dan Fuzzy Inference System Wahyudi, Adhie Tri; Giyanti, Ida; Kritiana, Bernadhetta Vivi
JISI: Jurnal Integrasi Sistem Industri Vol 10, No 2 (2023): JISI UMJ
Publisher : Fakultas teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jisi.10.2.99-110

Abstract

Perusahaan perlu berhati-hati saat menentukan jumlah produksi botol minuman kemasan. Jumlah persediaan bahan baku dan permintaan menjadi faktor penting dalam menentukan jumlah produksi. Ketidakpastian jumlah permintaan produk minuman mengakibatkan jumlah produksi botol kemasan minuman kurang selaras dengan jumlah persediaan bahan baku minuman dan jumlah permintaan produksi botol kemasan. Adanya faktor ketidakpastian jumlah permintaan menjadikan pentingnya pemilihan metode peramalan yang tepat untuk memprediksi jumlah permintaan berdasarkan data historis. Penelitian ini bertujuan melakukan studi penentuan jumlah produksi botol kemasan minuman yang optimal dengan mempertimbangkan faktor ketidakpastian. Metode Fuzzy Time Series Markov Chain (FTSMC) adalah satu salah metode peramalan berbasis time series dan dapat diterapkan pada permasalahan ketidakpastian peramalan yang terjadi. Hasil peramalan, setelah melalui uji verifikasi menjadi input metode Fuzzy Inference System (FIS) untuk menentukan jumlah produksi botol minuman agar bersesuaian dengan jumlah permintaan dan jumlah bahan baku. Model FIS yang dibangun pada penelitian ini adalah Fuzzy Sugeno dan Fuzzy Mamdani. Untuk mengetahui metode yang memberikan hasil yang optimal pada permasalahan ini, kedua model yang dibangun tersebut dianalisis dengan membandingkan nilai Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa kedua model, yatu model FTSMC Fuzzy Mamdani dan model FTSMC Fuzzy Sugeno mampu memberikan solusi optimal.
STRATEGI PERENCANAAN KEUANGAN PADA UKM PUTRI TIMUS DI KARANGANYAR Sugiarti, Sugiarti; Suparti, Erni; Sunardi, Sunardi; Giyanti, Ida; Yulandari, Ariefah
JUPADAI : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2024): Volume 3 Nomor 2 2024
Publisher : Asosiasi Dosen Akutansi Indonesia, KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64795/jupadai.v3i2.152

Abstract

Thymus is one of the famous traditional foods in Karanganyar Regency, Central Java Province. Putri Timus is one of the Small Medium Enterprises in Karanganyar district that produces purple thymus. The product from Putri Timus has one specialty, namely the inside of the thymus contains Bligo fruit (Benincasa hispida) with various benefits. The method used in this program is to provide counseling and assistance regarding financial planning to MSME players to a simple but understandable application stage. The results of this community service program provide a simple solution to be careful in managing finances by considering several worst possibilities. Participants feel that they have a solution when they want to plan their finances both in the short and long term.  
Quality control of garment product using DMAIC Six Sigma Tyas, Tiara Cahyaning; Giyanti, Ida
OPSI Vol 17 No 1 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i1.7107

Abstract

Quality control is intended to ensure that the products are in accordance with the predefined standards. PT. XYZ is a garment company that manufactures products with global target market. Hence, product quality assurance becomes an important issue for PT. XYZ. This research focuses on the Just Brand-MCJA216142 jacket product at the sewing work station on line-4 of PT. XYZ. Preliminary observations show that the number of reworked-products was experiencing an increasing trend. This study aims to determine whether the company has carried out quality control properly. Specifically, the research objectives are to identify the type and level of product defects, identify the factors causing product defects, and provide proper improvement suggestions to reduce the occurrence of product defects. This study applied DMAIC (Define–Measure–Analyze–Improve–Control) Six Sigma concept. The results showed that the quality of the Just Brand-MCJA216142 jacket product has exceeded the Indonesian industry average and is classified as the USA industry average. However, quality improvement is still needed since the products are targeted for the export market. Based on Pareto diagram at the Analyze stage, it was found that the most dominant defects occurred in the Just Brand-MCJA216142 jacket production process were broken threads and puckering. The frequency of occurrence for these two types of defect reaches 23% of the total 16 types of defects. The defects were caused by human, machine, material, method, and environmental factors. Recommendations for improvement at the Improve stage are based on root cause analysis of each causative factor that is identified using a fishbone diagram. This research results strengthen the previous related researches regarding the effectivity of DMAIC Six Sigma for analyzing quality control of products.
Co-Authors Adhie Tri Wahyudi Erni Suparti, Erni Kritiana, Bernadhetta Vivi Sugiarti Sugiarti Sunardi Sunardi Tyas, Tiara Cahyaning Yulandari, Ariefah