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All Journal Jurnal Ilmiah Teknik Industri
Lithrone Laricha Salomon
Program Studi Teknik Industri, Fakultas Teknik, Universitas Tarumanagara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Transportation

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ANALISA MITIGASI RISIKO MANAJEMEN RANTAI PASOKAN MENGGUNAKAN PENDEKATAN HOUSE OF RISK PADA PERUSAHAAN MANUFAKTUR TEPUNG AGAR-AGAR INSTAN Dennis Marchello; Wilson Kosasih; Lithrone Laricha Salomon
Jurnal Ilmiah Teknik Industri Vol. 11 No. 2 (2023): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v11i2.21195

Abstract

Every company must have a good supply chain flow to support the company's development. A series of complex supply chain processes makes business processes unavoidable from risks that have a negative impact. Some risk events that are often found include the inability of suppliers to fulfill orders on the specified date, problems experienced by machines, and others. To overcome the risks that arise, it is necessary to manage supply chain risk management using the House of Risk (HOR) approach. The HOR method consists of 2 phases, HOR phase 1 focuses on risk events and priority handling of risk sources (risk agents) that will be subject to risk mitigation assistance measures to deal with negative pathways from these risks. While HOR phase 2 focuses on designing mitigation actions that will be applied to companies to deal with the negative impacts of risks and prevent risks from happening again. The results of the study showed that there were 47 risk events and 48 risk agents with 2 priority risk agents. Thus, 8 risk mitigation action strategies and 3 priority risk mitigation action strategies have been set to mitigate the existing risk agents.
STRATEGI PENINGKATAN KUALITAS PRODUK KEMASAN AMDK BERBASIS METODE SIX SIGMA DAN QFD Resma Dwi Santika; Lithrone Laricha Salomon; Carla Olyvia Doaly
Jurnal Ilmiah Teknik Industri Vol. 13 No. 2 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/6kjgmm72

Abstract

Increasingly fierce industrial competition requires companies to continuously improve the quality of their products to meet customer expectations and maintain competitiveness. This research was conducted at PT XYZ, a manufacturing company that produces Bottled Drinking Water (AMDK), with a focus on cup packaging products. The purpose of this research is to identify the types and causes of product defects, and formulate a quality improvement strategy using the Six Sigma method based on the DMAIC (Define, Measure, Analyze, Improve, Control) and Quality Function Deployment (QFD) approaches. The observation results show that the dominant types of defects are frosted cups, mushy cups, striped cups, and cup sizes that exceed the standard. The Defect per Million Opportunities (DPMO) calculation shows a value of 5.755 with a sigma level of 4, which means that the production process still requires significant improvement to achieve the Six Sigma target. Through the QFD stage, customer requirements are translated into technical characteristics that form the basis for the development of the House of Quality (HoQ). The results of this study provide a quality improvement strategy that is more structured and oriented to customer needs, and can be used as a reference for continuous improvement in the mineral water industry.
PENGUKURAN KEY PERFORMANCE INDICATOR SISTEM MANAJEMEN GUDANG DI PERUSAHAAN LOGISTIK Hendrawan Suryajaya; Wilson Kosasih; Carla Olyvia Doaly; Lithrone Laricha Salomon
Jurnal Ilmiah Teknik Industri Vol. 13 No. 2 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/3eem4g52

Abstract

Many sellers of goods through digital platforms (marketplaces) do not have large storage space, so currently logistics companies also provide warehouse services to store goods from these sellers. A good warehouse management system (WMS) must be able to flow goods from input to output effectively and efficiently. Many logistics companies have yet to comprehensively measure key performance indicators (KPIs) for their WMS due to the perception that measurement is difficult and should only be performed by experts. This study aims to design and measure the KPIs of a WMS. This study uses a case study approach in a logistics company that has a storage area for various types of goods from sellers. Data were collected through literature studies, observations, and interviews. The methods used were the Analytical Hierarchy Process (AHP) and Snorm De Boer. The results show that three KPIs fall into the poor category, including: putaway per man-hour, % location and cube occupied, and order lines picked per man-hour. The company needs to create a structured system for storing goods based on their type, set standard storage time limits or even increase storage capacity, and also need to monitor the smooth flow of goods. In the end, it is hoped that all proposed KPIs can be measured periodically for continuous improvement.
ANALISIS EFEKTIVITAS MESIN PARKIR MOTOR KAMPUS UNTAR 1 DENGAN METODE LEAN SIX SIGMA (DMAIC) Sherly; Dina Amalia Julia Kristaliantri; Della Putri Setianingrum; Andrew Johnson Wijaya; Lithrone Laricha Salomon
Jurnal Ilmiah Teknik Industri Vol. 13 No. 3 (2025): Jurnal Ilmiah Teknik Industri : Jurnal Keilmuan Teknik dan Manajemen Industri
Publisher : Program Studi Teknik Industri, Fakultas Teknik Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jitiuntar.v13i3.37467

Abstract

This study aims to analyze the effectiveness of the motorcycle parking service at Untar Campus 1 using the Lean Six Sigma method with the DMAIC (Define, Measure, Analyze, Improve, Control) approach. The main problems identified included the high frequency of tap-out errors, such as unreadable cards, slow reader performance, and delayed staff responses, which caused long queues and reduced user satisfaction. The research was conducted through field observations, questionnaires distributed to 60 respondents, and data collection using Time Observation Sheets (TOS) and Check Sheets. The results showed that the “unreadable card” error was the dominant issue, accounting for 66.67% of total incidents. The average staff response time was 137.6 seconds, while the average machine repair time was 58.5 seconds. Pareto and 5 Why’s analysis revealed that the main root cause was the lack of preventive maintenance on reader sensors and the absence of consistent maintenance SOPs. Improvement proposals were implemented through the application of Poka-Yoke, 5S, and Kaizen Event to improve process efficiency, reduce human error, and accelerate error handling. The study concludes that the implementation of Lean Six Sigma was able to improve parking service effectiveness and service quality for users.
Co-Authors Andrew Johnson Wijaya Carla Olyvia Doaly Della Putri Setianingrum Dennis Marchello Dina Amalia Julia Kristaliantri Hendrawan Suryajaya Resma Dwi Santika Sherly Wilson Kosasih