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Sulung rahmawan wira ghani
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INDONESIA
Jurnal Penelitian Bidang Inovasi & Pengelolaan Industri (Invantri)
Published by Universitas Hasyim Asy'ari
ISSN : -     EISSN : 28086740     DOI : https://doi.org/10.33752/invantri
Core Subject : Science, Education, Art, Engineering,
Arts Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Other
INVANTRI adalah Jurnal Ilmiah Teknik Industri Unhasy Tebuireng Jombang. Jurnal ini diterbitkan dengan tujuan menjadi wadah sekaligus media publikasi artikel berbasis riset penelitian dan pengabdian bagi para mahasiswa, akademisi dan praktisi di bidang Teknik Industri. Secara khusus INVANTRI menerima artikel ilmiah Bahasa Indonesia & Bahasa inggris terkait perkembangan pemanfaatan teknologi di segala bidang fungsional industri. Jurnal ini terbit 1 tahun 2 kali. Jurnal INVANTRI menerima karya asli yang belum pernah dipublikasikan pada jurnal lain. Yang terdiri dari: Green Industry and Eco Industrial Park, Green & Lean Manufacturing, Logistic dan Supply Chain, Innovation Product Design & Eco Product, Optimation process, Production System, Productivity Industrial System, Quality Management, Ergonomics, Performance Measurement Systems, Decision Analysis, Safety Engineering, Industrial Operational Research, Industrial Halal Product, dan Marketing strategy
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 5 Documents
 1 
Search results for , issue "Vol 3 No 1 (2023): September" : 5 Documents clear
ANALISIS PENGENDALIAN KUALITAS HASIL PRODUK CETAK KEMASAN DENGAN METODE SIX SIGMA PADA INDUSTRI PERCETAKAN: ANALISIS PENGENDALIAN KUALITAS HASIL PRODUK CETAK KEMASAN DENGAN METODE SIX SIGMA PADA INDUSTRI PERCETAKAN Vugun Nur Fauzi; Sumarsono; Sulung Rahmawan Wira Ghani; Andhika Mayasari
INVANTRI (Inovasi Dan Pengelolaan Industri) Vol 3 No 1 (2023): September
Publisher : Teknik Industri, Fakultas Teknik, Universitas Hasyim Asy'ari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/invantri.v3i1.4997

Abstract

Maintaining high quality is crucial for any company that produces goods. PT. Dharma Anugerah Indah specializes in printing and packaging, but customers have been complaining about the quality of their products in 2022. Specifically, there were many defects in the packaging, particularly problems with the color. These defects have caused a decrease in customer trust and could harm the company's reputation. This study aims to identify the problems causing the defects that are triggering customer complaints. To analyze the defects, we used the Six Sigma method with the DMAIC cycle and the FMEA method. In the define phase, we found that the most significant problems were related to color, bad printing, and bad glueing. These issues were mainly caused by operator negligence, frequent machine trouble, poor materials, and inadequate environmental conditions. However, our Six Sigma calculations show that the Sigma levels were good, ranging from 4.2 to 4.24. We also used the FMEA method to prioritize the failure modes and determine proposed improvements. Based on the proposed improvements, we recommend scheduling work training, monitoring employee performance, maintaining production machines, and increasing awareness of the work environment to improve production quality.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUASAN KONSUMEN PRODUK SUSU MURNI KPUB SAPI JAYA MENGGUNAKAN METODE REGRESI LINEAR BERGANDA: ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUASAN KONSUMEN PRODUK SUSU MURNI KPUB SAPI JAYA MENGGUNAKAN METODE REGRESI LINEAR BERGANDA Aziz Muslih; Sumarsono; Andhika Mayasari
INVANTRI (Inovasi Dan Pengelolaan Industri) Vol 3 No 1 (2023): September
Publisher : Teknik Industri, Fakultas Teknik, Universitas Hasyim Asy'ari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/invantri.v3i1.5003

Abstract

Customer satisfaction became one major priority for business agent to attract customer buying interest. Customer satisfaction is the feeling of happiness or sadness which appear after buying and comparing the product with other brands. The process of getting good Multiple Linear Regression analysis result in this research, then it has to be examined in these following steps: (1) Testing the validity and reliability of questionnaire measuring instruments. (2) Describing variables of the research. (3) Testing the classical assumptions such as heterokedasticity, multicollinearity, collinearity and normality test. (4) Analyzing Multiple Linear Regression, which includes the F_test (joint test), t_test (partial test), and the coefiicient of detemination (R-squared) test. Identification values of the factors that affect customer satisfaction towards KPUB Sapi Jaya pure milk products obtained from the result of the linear regression equation, where the value of the influence constituent is 2,117 units, the value of the influence of X1. of 0.367 units, the value of influence X3. Product features of 0.671 units, the value of influence X4. The product beauty is 0.259, the value of influence X5. The perceived quality is 0.814 units and the value of influence X6. Service is 0.211 units. Furthermore, the results of the significance test, which significantly affects customer satisfaction of KPUB Sapi Jaya pure milk products, it is concluded that there are 2 factors, the first is product durability factor (X1) and the second is perceived quality factor (X5). Meanwhile 4 other factors are not significant, such as product suitability factor (X2); product features (X3); beauty products (X4) and services (X6).
ANALISIS PERAMALAN PERMINTAAN KARTON BOX UD BERKAH JAYA OFFSET MENGGUNAKAN METODE TIME SERIES Yoga Satya Andriawan; Nur Muflihah
INVANTRI (Inovasi Dan Pengelolaan Industri) Vol 3 No 1 (2023): September
Publisher : Teknik Industri, Fakultas Teknik, Universitas Hasyim Asy'ari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/invantri.v3i1.5004

Abstract

UD Berkah Jaya Offset is one of the manufacturing companies operating in the field of cardboard box production. The company offers a variety of cardboard box products in various sizes, including sizes D1, D2, D3, trepes, and roll. In the production of cardboard boxes, particularly size D1, issues such as overstock and even stock shortages have been frequently encountered during the period from January 2022 to December 2023. This is due to the ineffective demand forecasting to anticipate these possibilities. This study aims to forecast the demand for size D1 cardboard boxes for the upcoming months using the best forecasting method. The methods employed are decomposition method, Winter's exponential smoothing, and Holt's exponential smoothing. This research compares the three methods based on the smallest Mean Absolute Percentage Error (MAPE) value. The results of the study reveal that the decomposition method is the most effective, with a MAPE value of 19, MAD value of 28000, and MSD value of 1247419480, indicating a low level of forecasting error compared to the others.
ANALISIS PENGEMBANGAN KUALITAS PRODUK KANTONG SEMEN JENIS PASTED KRAFT DENGAN PENDEKATAN SIX SIGMA DI PT. XYZ: ANALISIS PENGEMBANGAN KUALITAS PRODUK KANTONG SEMEN JENIS PASTED KRAFT DENGAN PENDEKATAN SIX SIGMA DI PT. XYZ Kharis Mandha Imawan; Andhika Mayasari; Sumarsono
INVANTRI (Inovasi Dan Pengelolaan Industri) Vol 3 No 1 (2023): September
Publisher : Teknik Industri, Fakultas Teknik, Universitas Hasyim Asy'ari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/invantri.v3i1.5005

Abstract

The quality development is the most important thing that every company must do to minimize the defective products. One of the methods that can be used to analyze the defective products is Six Sigma which means as a method that can achieve, maintain, and maximize the success of business in a comprehensive and flexible way. The steps to be formulated by implementing the Six Sigma management cycle are DMAIC (Define, Measure, Analyze, Improve and Control). PT. XYZ which is engaged in manufacturing cement bags with one of its products is pasted kraft bags. The purpose of this study was to calculate the sigma score of the current conditions in the company, to analyze the causes of defective product that exceed the company's tolerance standards. The results showed three defective products. Those are printing defects, wrinkled bags and cutting defects. The average sigma score in the production process of Pasted kraft bags was 4.03 sigma, which means that out of 1 million products, there were around 5,858 defective products. The analysis of the core causes of product defects are the poor control of machine component conditions, the less attention of operators to standardize the machine settings, and the worn machine components during the production process. The repair step which is based on the 5W + 1H method are the recommendations for making a form to control the condition of engine components and good SOPs (Standard Operating Procedure), the procurement of field supervisors and regular training to operators.
ANALISIS PERAMALAN PENJUALAN AYAM DENGAN MENGGUNAKAN METODE MOVING AVERAGE DAN EXPONENTIAL SMOOTHING DI CV. TABASSAM AZ ZUFAR JOMBANG: ANALISIS PERAMALAN PENJUALAN AYAM DENGAN MENGGUNAKAN METODE MOVING AVERAGE DAN EXPONENTIAL SMOOTHING DI CV. TABASSAM AZ ZUFAR JOMBANG David Ari fianto; Fatma Ayu N.F.A; Tri Rijanto
INVANTRI (Inovasi Dan Pengelolaan Industri) Vol 3 No 1 (2023): September
Publisher : Teknik Industri, Fakultas Teknik, Universitas Hasyim Asy'ari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/invantri.v3i1.5006

Abstract

In this modern era of the technology, the rapid development of the business world and the demand of product that required by consumer is very high also. Therefore, the company must be able to make an optimal planning, there is in the planning of production or planning of demand to make the company can achieve the objectives targeted. To achieve it, the company have to forecast the amount of selling or consumer’s demand about product or services produced. The CV. Tabassam Az-Zufar Jombang is a company that engaged in the partnership of boiler chicken farms. One of analysis that can be used to forecast is the moving average and the exponential smoothing method. The aims of this research are the first is to know the chicken sales forecasting in the periods of June 2018 until July 2018 and the second is to know the accuratest of the sales forecasting method. The method that will be used to this research is the moving average and exponential smoothing method. The result of the research showed that the smallest error value of method is SES method with α = 0,7 where is the value of MAD is 23.384, MSE = 1.096.023.269, and MAPE = 16 %. As for result of the chicken sales forecasting using the single exponential smoothing method with α = 0,7 in June 2018 is 207.758 tails and July is 207.758 tails.

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