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All Journal Jurnal Energi Dan Manufaktur Journal of Industrial Engineering Management International Journal of Industrial Engineering and Engineering Management
Dirgahayu Lantara
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Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering

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Journal : Journal of Industrial Engineering Management

 1 
DESIGN INFORMATION SYSTEMS OF PRODUCTION RESULTS IN THE RAJAWALI BROMO CONVECTION INDUSTRY, MAKASSAR Dirgahayu Lantara; Andi Pawennari; Ahmad Padhil; Rahmaniah Malik; Irma nur afiah; Astin Cahya
Journal of Industrial Engineering Management Vol 6, No 1 (2021): Journal of Industrial Engineering Management Vol. 6 No. 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v6i1.885

Abstract

The development of the era where everything is instantaneous and fast as it is today must be supported by the development of increasingly sophisticated information technology. One of the functions of this technological development is to obtain accurate and fast information. But in fact, there are still companies / organizations that have not used computer technology as a work aid, such as the Bromo Rajawali Convection which still uses the manual method of writing employee data, namely data storage still using books. Therefore, the design of an employee data management information system is carried out that can help companies control the production data of each tailor employee. The method used in this research is the Waterfall method. It is called a waterfall because the steps that are passed must wait for the completion of the previous stage and run sequentially, for example the design stage must wait for the completion of the previous stage, namely the requirements stage [1]. The Waterfall method consists of 5 stages, namely Analysis, Design, Coding, Testing and Maintenance. The purpose of this study is to design an information system that can make it easier for companies to write down employee production data accurately. From the design results, there are two factors that support the running of the system, namely administration and production data, the input form available on the system that has been designed, namely the login input form and the employee data input form, while the output form contains complete data related to employee personal data and employee production data. With the creation of a management information system in writing data on employee production, the Rajawali Bromo Convection can accelerate the search for more accurate data in the future, and applications made later by the company can be used properly as one of the employee production data systems
Analisis Penerapan Lean Manufaktur Untuk Mengurangi Pemborosan Di Lantai Produksi PT. Eastern Pearl Flour Mills Makassar Nurul Chairany; Dirgahayu Lantara; Nadzirah Ikasari; Alfhyan Ukkas
Journal of Industrial Engineering Management Vol 3, No 1 (2018): Journal of Industrial Engineering Management Vol. 3 No. 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (332.143 KB) | DOI: 10.33536/jiem.v3i1.202

Abstract

Pemborosan yang terjadi dapat mengakibatkan kerugian pada perusahaan, salah satu contoh kerugian yang dapat ditimbulkan karena adanya pemborosan adalah waktu penyelesaian produk yang lebih lama dibandingkan dengan yang sudah direncanakan tidak memberikan nilai tambah (non value added), maka yang menjadi tujuan untuk menghilangkan pemborosan di lantai produksi, dengan merancang VSM (Future State Map) yang sesuai dengan kondisi perusahaan dengan mengintifikasi weste dengan menggunakan metode 5W- 1H ( what, who, where, when, why dan how) Setelah dilakukan perancangan future valuue stream map sehingga waktu (current state map) menunjukkan bahwa total lead time adalah sebesar 2890.5 menit dan proses pada future stream map lead time sebesar 2.740,5 menit maka dari itu ada pengurangan proses waktu lead time sebesar 150 menit dengan takt time dari 0,10 menit/ unit, kapasitas produksi terpenuhi 359 ton/hari.
ANALISIS EFEKTIVITAS MESIN DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS DI PT. SINAR GOWA INDUSTRI Dirgahayu Lantara
Journal of Industrial Engineering Management Vol 4, No 2 (2019): Journal of Industrial Engineering Management Vol. 4 No. 2
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.367 KB) | DOI: 10.33536/jiem.v4i2.456

Abstract

PT Sinar Gowa Industri is a company established in 2005, engaged in the food industry (noodles). The cessation of a production process is often caused by a problem in the production machine, for example, the engine stops suddenly, decreases the speed of production, the length of time setup and adjustments, the machine produces a defective product. TPM develops from a traditional maintenance system that involves all departments and all people to participate in and develop responsibilities in the maintenance of machinery / equipment. Steps to prevent or overcome the problem in business. Increasing production efficiency is done by using the Overall Equipment Effectiveness (OEE) method as a tool used to measure and determine the performance of machines / equipment. The results and analysis carried out by the OEE method on machines at PT. Sinar Gowa Industries studied were mixing machines, pressing machines, sitting machines, and steaming machines. It was concluded that the most effective and efficient machine in the production process was mixing machines and pressing machines, because it had an overall equity effectiveness value of 83.8 percent followed by a sitting machine that had a value of 53.29 percent and the last was seating machines with a value of 54, 89 percent.
Co-Authors A. Pawennari Ahmad Padhil Alfhyan Ukkas Andi Pawennari Anis Saleh Arfandi Ahmad Astin Cahya Irma Nur Afiah Muhammad Dahlan Muhammad Dahlan Nadzirah Ikasari Nur Ihwan Saputra Nurhayati Rauf Nurul Chairany Rahmaniah Malik Yan Herdianzah