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Journal : Proceeding Mercu Buana Conference on Industrial Engineering

Analisa Proses Quenching Terhadap Penurunan Kadar Air Pada Kokas dengan Menggunakan Metode Six Sigma di Pabrik Baja Dharmawan, Wahyu; Prabowo, Herry Agung
Proceeding Mercu Buana Conference on Industrial Engineering Vol 7 (2025): SMART AND SUSTAINABLE INDUSRIES : DRIVING LOW-EMISSIONS AND RENEWABLE ENERGY TRANSFORM
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2025.34534

Abstract

Kokas merupakan material utama dalam proses produksi besi cair melalui metode blast furnace. Fungsinya tidak hanya sebagai bahan bakar, tetapi juga sebagai agen pereduksi dan pendukung permeabilitas gas dalam blast furnace. Salah satu permasalahan krusial dalam proses produksi kokas adalah tingginya kadar air setelah proses pendinginan (quenching). Kadar air yang berlebih dapat menyebabkan penurunan efisiensi panas di dalam blast furnace, peningkatan konsumsi energi, penurunan kualitas kokas, serta pemborosan biaya operasional secara keseluruhan. Oleh karena itu, diperlukan upaya sistematis untuk mengidentifikasi dan mengendalikan faktor-faktor yang memengaruhi kadar air kokas secara signifikan. Penelitian ini bertujuan untuk menganalisis pengaruh variabel-variabel dalam proses quenching terhadap kadar air kokas, menggunakan pendekatan Six Sigma dengan metodologi DMAIC (Define, Measure, Analyze, Improve, Control). Penelitian dilakukan di salah satu pabrik baja terkemuka di Cilegon, Banten. Data diperoleh dari hasil pengamatan dan pengukuran langsung di lapangan, kemudian dianalisis menggunakan perangkat lunak Minitab. Hasil analisis statistik menunjukkan bahwa tiga variabel utama, yaitu waktu quenching (quenching time), waktu penyemprotan (spraying time), dan penggunaan nozzle tambahan, memiliki pengaruh yang signifikan terhadap kadar air kokas, dengan nilai P < 0,05 berdasarkan uji ANOVA. Setelah tahap analisis, dilakukan perbaikan proses dengan pendekatan Design of Experiment (DoE) untuk menentukan kombinasi parameter optimal dalam proses quenching. Implementasi hasil perbaikan menunjukkan keberhasilan dalam menurunkan kadar air kokas secara konsisten. Selain itu, level sigma proses meningkat dari 3,31σ menjadi 4,04σ, yang menunjukkan peningkatan kapabilitas proses dan penurunan variasi. Dengan demikian, penelitian ini membuktikan bahwa penerapan pendekatan Six Sigma secara terstruktur dan berbasis data mampu meningkatkan efisiensi, mengurangi pemborosan, dan meningkatkan kualitas hasil produksi pada proses pembuatan kokas di industri baja
Analisis Efektivitas Perangkat 24/7 Berbasis Internet of Things (IoT) Pada Lift Kone Menggunakan Metode Overall Equipment Effectivenes (OEE) Dan Failure Mode And Effects Analysis (FMEA) Harijaya, Soundy Satriani; Prabowo, Herry Agung
Proceeding Mercu Buana Conference on Industrial Engineering Vol 2 (2020): ARAH PENGEMBANGAN RISET ENGINEERING DI ERA REVOLUSI INDUSTRI 4.0
Publisher : Universitas Mercu Buana

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Abstract

In production activities, the value of productivity is quite important to pay attention to. If the productivity value of production activity is low, it can reduce the value of the production, such as not achieving the predetermined target. Therefore, it is quite important to know the value of productivity which can be seen from the value of its effectiveness. One way to determine the value of effectiveness is by using the Overall Equipment Effectiveness (OEE) method. PT. KONE Indo Elevator (KIE), has a new product called 24/7 Connected Services, where the product is targeted to reduce the existing Call Out Rate (COR). In the period of March 2020, the existing COR value is 2.92. Because the product is 24/7 Connected Services, the effectiveness value of the product or device is not yet known, which can be determined using the OEE method, along with the Failure Mode and Effect Analysis (FMEA) method to analyze what types of potential biggest failures are in the product. the. After installing the device from April 2020 to June 2020, the effectiveness value of the device can be analyzed. After analyzing, it was found that the OEE 24/7 Connected Services value was 88.36% with the sample data for 12 weeks. The biggest loss factor of this product is in the reduction speed loss with a value of 10.841% of the total loss. The greatest potential for failure is in the signal problem of the problematic device, with an RPN value of 21, where improvements can be made to add an extender antenna and add a signal amplifier. From the OEE value found, it has exceeded the existing OEE standard value, which is 85%, where 24/7 Connected Services products are 3.36% higher than the existing standard value.
Analisis Manajemen Risiko Keselamatan Dan Kesehatan Kerja Dengan Metode Hazard Identification Risk Assessment and Risk Control (HIRARC) Di Reformed Millenium Center of Indonesia P., Subandri A.; Prabowo, Herry Agung
Proceeding Mercu Buana Conference on Industrial Engineering Vol 2 (2020): ARAH PENGEMBANGAN RISET ENGINEERING DI ERA REVOLUSI INDUSTRI 4.0
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Safety and health of work is a matter that capture many organizations today because they inlude humanitaries-conscious, economic cosr and benefits, legal aspects, accountability and the organization’s own image. The study will be concucted on risk identification safety and health of work, risk assessment safety and health of work as well as on how safety and health of work action on risk control involves the method of Hazard Identification Risk Assessment and Risk Control (HIRARC) on activities preventive maintenance air conditioning (AC) at Reformed Millenium Center of Indonesia (RMCI) Kemayoran. Assessment method use AS/NZS 4360 : 2004, risk assessment matrix. According to file proccessing obtained a high risk value. To risk group at high risk levels as 4 variables could edanger workers and jobs. Whereas for classification at medium risk level it was found to be as 6 variables.
The Effect of Lean Green Management System and Waste Reduction Technique on Lean Green Business Results in the Automotive Manufacturing Industry Ermawati, Eli; Anggarini, Farida Rahma; Khanza, Miranda; Restiyono, Paran; Umar, Yandi; Prabowo, Herry Agung
Proceeding Mercu Buana Conference on Industrial Engineering Vol 5 (2023): LEAN AND GREEN FOR SUSTAINABILITY DEVELOPMENT GOALS IN THE I4.0 ERA
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2023.030

Abstract

There was rapid growth in the automotive manufacturing industry as evidenced by the current increasing number of different variations of vehicles in society. This advancement requires industry players to compete effectively by optimizing their performance to achieve production capacity and gain adequate market share. This study aims to map and describe the current conditions of Lean Green Management System (LGMS) and Lean Green Waste Reduction Technique (LGWRT) implementation in the automotive manufacturing industry in Indonesia as well as to find the best model for implementing TPM and LGMS.Lean Green Management System (LGMS) and Lean Green Waste Reduction Technique (LGWRT) are the concepts associated with streamlining the activities usually conducted by companies in the manufacturing and service sectors. Therefore, this research focuses on evaluating the influence of implementing these concepts on the Lean Green Business Results of the automotive manufacturing industry. This was achieved through a multivariate statistical analysis applied to explain the harmonious continuity between the indicator and latent variables directly observed using SEM-PLS. The results showed that the application of LGMS and LGWRT has a significant and positive effect on Lean Green Business Results (LGBR) with 97.5% while the remaining 2,5% was linked to other variables. This means LGBR has been fully accepted