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Dian Friana Hidayat
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Journal Industrial Manufacturing
Published by Universitas Muhammadiyah Tangerang
ISSN : 25024582     EISSN : 25803794     DOI : https://doi.org/10.31000/jim
Core Subject : Engineering,
Engineering Industrial & Manufacturing Engineering
Journal of Industrial Manufacturing merupakan jurnal ilmiah yang berfokus terhadap continuous improvement dalam dunia industri (maufaktur dan jasa). Selain itu ruang lingkup jurnal mencakup seluruh keilmuan Teknik Industri.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 98 Documents
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PENGENDALIAN KUALITAS PRODUKSI ROMA SANDWICH MENGGUNAKAN METODE STATISTIK QUALITY CONTROL (SQC) DALAM UPAYA MENURUNKAN REJECT DI BAGAIAN PACKING Tina Hernawati Suryatman; Muhamad Engkos Kosim; Siti Julaeha
Journal Industrial Manufacturing Vol 5, No 1 (2020): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v5i1.2429

Abstract

PT. Mayora Indah Tbk merupakan perusahaan yang bergerak dalam sector indusutri makanan dan minuman. Dalam menjalankan kegiatan produksinya, perusahaan selalu berupaya untuk menghasilkan produk yang baik dan menekan terjadinya reject. Penelitian ini bertujuan untuk mengetahui faktor-faktor penyebab terjadinya reject hasil biskuit roma sandwich dan bagaimana pengendalian kualitas produk biskuit roma sandwich di PT. Mayora Indah Jatake 2 dengan menggunakan metode statistik. Analasis pengendalian kualitas dilakukan menggunakan metode statistik berupa check sheet, histogram, peta kendali, diagram sebab-akibat dan metode Failure Mode Effect Analysis (FMEA). Hasil analisis menggunakan checksheet menunjukkan bahwa dalam proses produksi masih terdapat reject biskuit yang tinggi sebesar 19,28%, kemudian hasil dari peta kendali menunjukan bahwa adanya titik berfluktuasi sangat tinggi dan tidak beraturan yang menunjukkan  bahwa proses produksi masih mengalami penyimpangan, oleh sebab itu masih diperlukan analisia lebih lanjut dengan menggunakan diagram sebab-akibat (fishbone diagram). Dari analisis sebab-akibat dapat diketahui faktor penyebab penyimpangan/reject berasal dari faktor manusia, metode, dan material. Selanjutnya berdasarkan analisis menggunakan metode FMEA prioritas utama perbaikan berdasarkan nilai RPN tertinggi yang harus dilakukan oleh PT. Mayora Indah diantranya yaitu Membuat jalur biskuit dan menurunkan packing table lebih rendah dari output mesin sandwiching dengan nilai RPN sebesar 168, Membuat standar diameter teflon dan revisi pengecekan kondisi teflon di setiap minggu dengan nilai RPN sebesar 105, dan Merubah jalur stacking dari yang tidak berlawanan arah menjadi berlawanan arah nilai RPN sebesar 72
PERANCANGAN SISTEM MANAJEMEN GUDANG MATERIAL RESIN DI PT. II Ossa Sutaarga; Dian Friana Hidayat
Journal Industrial Manufacturing Vol 3, No 1 (2018): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v3i1.616

Abstract

Management system at Resin warehouse in PT II still has many problems within. Improvement in management system needs to be done to overcome that problem. The difference between actual product’s amounts and the record, unscheduled planning production, and unorganized warehouse layout are the problem of this company. Improvement for the record of actual product inside warehouse isn’t to match the record of administration record. This process would be necessary to reduce the gap in stock opname process. MPS can be use to determine the ideal time and the ideal amount of total production for company, so that the inventory cost could be reduced. And then maximal capacity at Resin warehouse increase to 270% and increase the area until 26% squaremeter. Inventory turn over in the warehouse became better. The day sale in inventory was reduced from 17 days to 16 days.
IMPLEMENTASI CONTINUOUS IMPROVEMENT DENGAN MENGGUNAKAN METODE PDCA PADA PROSES HANDOVER DI WAREHOUSE PT. ABC Tri Widodo; Ismail Fardiansyah
Journal Industrial Manufacturing Vol 4, No 1 (2019): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v4i1.1243

Abstract

Culture of continuous improvement are favorite things that implemented in many business. This is also as concern in PT.ABC to apply continuous improvement in their operations. They use PDCA (Plan, DO, Check, Action) methodologies to solve the problem. One of PDCA case study that to be a topic for this research are  problem solving in handover process.Lead time for handover process are 20 hours, it will be bring another negative effect. So, problem solving by using PDCA methodologies are conducted. Plan phase are problem Identification, identify cause, and developing solution by using some tools :swim lane flowchart, cause effect diagram, mind mapping effort and benefit matrix. Do phase are execute the action plan, then Check phase are verify the result. The last phase are Action, it is a standardization and next improvement topic .Outcome of PDCA implementing in handover process are reducing lead time in handover process, from 1.161 minutes to 265 minutes, or lead time decreasing by 77%. Other positive effect of PDCA implementing are facilitate the operator to operate the documents, utilize the space that caused by inventory reducing in staging area.Key words :  PDCA, Swim lane, Cause and effect diagram, Mind mapping, Effort & benefit diagram.
Perbaikan Proses Pengujian Qualitas Pada Produk Donut Mix Untuk Meningkatkan Produktivitas Nur Fadilah Fatma; Henri Ponda; Dian Yuliani
Journal Industrial Manufacturing Vol 6, No 2 (2021): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v6i2.5005

Abstract

A company, will experience a process of ups and downs where this is a common thing. At the end of 2020, the world was shocked by the corona virus pandemic in all parts of the world. The impact of this pandemic has led to the confinement of employees as in this company. So that it makes productivity decrease, especially in the Quality department. To deal with this, the company asks employees to make changes in the sample testing flow process, to identify non-value-added activities. This resulted in disruption of the shipping process and many samples piled up. The purpose of this study is to identify and plan improvements that lead to non-value-added activities. This study uses the Fault Tree Analysis (FTA) and 5W1H methods. The FTA analysis shows that the cause of non-value-added activity is the mixing process is too long, too many processes during molding and the proofing process is too long. Based on this FTA analysis, priorities for corrective action plans can be determined to implement these improvements. The improvement plan uses the 5W1H method, which is to review the current test methods. The results of this study were very effective because they were able to reduce the processing time by 59 minutes.Keywords: Fault Tree Analysis, 5W1H, flow process, effectiveness and pandemic.
ANALISIS EFEKTIFITAS MESIN ROUGHING MILL DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE) Heru Winarno; Faqih Ferdiansyah
Journal Industrial Manufacturing Vol 3, No 2 (2018): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v3i2.854

Abstract

Mesin Roughing Mill merupakan mesin press baja dengan ukuran yang telah di standarkan. Mesin ini dipakai untuk mendapatkan ketebalan baja yang diinginkan.Untuk mendapatkan proses produksi berjalan dengan baik, perusahaan harus melakukan pemeliharaan mesin-mesin yang digunakan. Metode yang digunakan dalam pemeliharaan mesin yakni menggunakan OverallEquipment Effectiveness (OEE). Perhitungan OEE dipengaruhi oleh tiga faktor yaitu Availability Rate, Performance Rate, dan Rate of Quality .Pengambilan data yang digunakan untuk penelitian yaitu data primer dan sekunder. Berdasarkan hasil perhitungan pada mesin roughing mill tahun 2016 semester 1 diperoleh nilai Overall Equipment Evectiveness (OEE) adalah 52.69%. kondisi ini menunjukkan bahwa dalam mencapai target dan dalam pencapaian efektivitas penggunaan mesin roughing mill belum mencapai kondisi yang ideal (≥85%). Dari hasil penelitian ternyata bahwa efektivitas dari mesin roughing mill secara keseluruhan masih memerlukan evaluasi untuk dilakukan perbaikan dalam meningkatkan efektivitas dan produktivitas, khususnya pada permasalahan redeuced speed losses masih membutuhkan tools yang relavan dengan data yang sudah dikumpulkan untuk memudahkan identifikasi permasalahan pada mesin roughing mill. Kata Kunci : Roughing Mill, Overall Equipment Effectiveness (OEE), Availability Rate, Performance Rate, Rate of Quality.
PENERAPAN KAIZEN UNTUK MENGURANGI LOSS TIME DALAM PENINGKATAN PRODUKTIVITAS MESIN INFRARED WELDING (STUDI KASUS PT. MITSUBA INDONESIA) Hartono Hartono; Fatkhurozi Fatkhurozi
Journal Industrial Manufacturing Vol 6, No 1 (2021): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v6i1.4114

Abstract

PT Mitsuba Indonesia is a factory engaged in the manufacture of electrical automotive spare parts. The LED winker lamp is the newest product whose production demand is always increasing. The large demand for LED winker lamp products must of course be balanced with the readiness of production machines which are always in good condition. But in practice, the results of the production achievement are still low, this is due to the high machine loss time, especially in infrared welding machines. This study discusses the application of kaizen which aims to find the causes of loss time, make improvements in order to reduce loss time and determine loss time and productivity after repairs are made. The method used to analyze the causes of loss time is to calculate the value of six big losses and analysis of the cause and effect diagram. The analysis results showed that the idling minor factor and stoppages losses caused by part drop error and the set up and adjustment losses factor caused by a change in the type of production jig. Improvements made to the part drop error were adding 1 set of regulators. Meanwhile, the change in the production jig type is to modify the locking system on the lower and upper heater jig. Based on these improvements, it was able to reduce the loss time to 4.86% and productivity to increase 7.50% in July. Loss time fell 4.70% and productivity increased 7.90% in August.Keywords: LED winker lamp, infrared welding machine, loss time, six big losses, productivity.
IMPLEMENTASI LEAN DENGAN MENGGUNAKAN VALUE STREAM MAPPING UNTUK MEMPERCEPAT LEAD TIME PROSES OUTBOUND DI PT.X Tri Widodo; Ismail Ferdiansyah
Journal Industrial Manufacturing Vol 2, No 2 (2017): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v2i2.631

Abstract

PT X merupakan perusahaan yang bergerak di bidang penyedia pelayanan logistik, salah satu divisinya adalah contract logistic, yang mengurusi kontrak warehousing dengan para pelanggannya. Operasional yang ada di warehouse meliputi inbound, storaging, dan outbound.agar dapat bersaing dan memenuhi keinginan pelanggannya, PT.X harus mampu melaksanakan operasionalnya secara efektif dan efisien. Salah satu upaya untuk terlaksananya proses yang efektif dan efisien adalah dengan mengimplementasikan lean. Penelitian ini membahas mengenai implementasi lean pada proses outbound di PT.X. implementasi lean dengan menggunakan value stream mapping.Penggunaan value stream mapping pada proses outbound untuk mengidentifikasi pemborosan mandapatkan hasil antara lain : total lead time yang dibutuhkan untuk proses outbound saat ini sebesar 13.286 detik dengan value added ratioyang didapat sebesar 6,68%. Berangkat dari kondisi saat ini, maka dirancang future state mapping untuk mendapatkan kondisi ideal. Berdasarkan perancangan future state mapping yang dibuat, maka diketahui lead time yang didapat adalah sebesar 1.192 detik dengan value added ratio sebesar 23,08%.Untuk dapat merealisasikan future state mapping yang dirancang atau kondisi ideal, perusahaan memerlukan upaya-upaya penghilangan pemborosan pada setiap aktivitas yang ada di proses outbound.Kata Kunci :Current state Mapping, Future State Mapping, Value added ratio
ANALISIS PRODUKTIVITAS MESIN BODY HYDRAULIC ONE STROKE 30T DENGAN METODE OVERALL EQUIPMENT EFFECTIVENESS (OEE) DI PT. SEL-SEM TBK., TANGERANG Hendra Pratama; Ossa Sutaarga; Zainur Rohman
Journal Industrial Manufacturing Vol 5, No 1 (2020): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v5i1.2441

Abstract

Dalam dunia industri manufaktur, peningkatan produktivitas merupakan hal yang sangat penting dalam memenuhi pasar domestik dan internasional juga untuk merawat kepercayaan pelanggan. Perusahaan berusaha untuk meningkatkan produktivitas pada produk Body Filter. Diketahui bahwa mesin Body Filter dalam kondisi tidak efisien dan pihak manajemen berusaha untuk menerapkan Total Productive Maintenance (TPM) untuk peningkatan produktivitas mesin. Tindakan perbaikan yang diambil adalah pembongkaran dan perbaikan pada penyetelan mesin die one stroke 30T hydraulic body. Kemudian tindakan perbaikan diuji menggunakan metode Overall Equipment Effectivevness (OEE), yang terdiri dari 3 elemen: ketersediaan, rerata kinerja dan rerata kualitas. OEE mampu digunakan sebagai perangkat yang membantu analisis pemecahan masalah. Melalui uji ilmiah dengan metode OEE menunjukkan peningkatan pada nilai total OEE dari 37.35% menjadi 58.82%. Detail nilai ketersediaan meningkat dari 80.09% menjadi 90.78%, rerata kualitas dari 46.83% menjadi 65.02% dan rerata kualitas dari 99.63% menjadi 99.67%. Dengan peningkatan 41.43% unit produksi sebanyak 241,412 unit dibanding sebelumnya 141,398 unit dan tingkat kegagalan produk menurun 35.64%. terbukti bahwa hasil dari tindakan perbaikan memberikan efek positif pada tingkat hasil produksi. Kata Kunci: Produktivitas, Hidrolik, Total Productive Maintenance (TPM), Overall Equipment Effectiveness (OEE).
PENINGKATAN PRODUKTIVITAS MENGGUNAKAN METODE LINE BALANCING PADA PROSES PENGEMASAN DI PT.XYZ Ismail Fardiansyah; Tri Widodo
Journal Industrial Manufacturing Vol 3, No 1 (2018): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v3i1.621

Abstract

PT.XYZ is a logistic service provider company. One of their division is a contract logistic. Contract logistic is division that maintain the warehouse of customer. One of Operation in warehouse is value added service (VAS) that additional services based on customer requirement one of VAS process in PT.XYZ is a packaging process. In order to meet the customer requirement, PT.XYZ should be productive and efficient in Operation. It can be happen through by line balancing. This paper explains about line balancing implementation in VAS process at PT.XYZ to increase productivity. Line balancing analysis in VAS process for current condition among others total cycle time are 131 second by 10 operator, it’s impact to productivity by 106 box/operator/day, and line efficiency by 94%. Based on this fact, improvement conducted through balancing workload and waste reduction to get optimum condition. The result of improvement are increase productivity by 104%, increase line efficiency by 3%, and cycle time reduction by 15%. PT.XYZ need to continue conduct waste elimination and regular monitor of line balancing analysis to achieve sustainability of optimum productivity.
ANALISA KESEIMBANGAN LINTASAN PRODUKSI PADA PEMBUATAN RADIATOR MITSUBISHI PS 220 DENGAN METODE RANKED POSITIONAL WEIGHT (RPW) Henri Ponda; Joko Hardono; Sofi Khaerul Pikri
Journal Industrial Manufacturing Vol 4, No 1 (2019): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jim.v4i1.1251

Abstract

Increasing demand for Mitsubishi Fuso FN 527 220 PS trucks will demand increased production of Mitsubishi PS 220 radiators at PT. Anugerah Aneka Industri. In making tank components through 2 processes, namely the press tank and tank assy. Making core components through 3 processes namely core assy, oven and end plate installing. Making end plate components through 1 process, namely the press end plate. Making side plate components through 4 processes, namely punch, shering, bending and spot. Then the components are assembled through 5 processes, namely tanks installing, installing side plates, leaks, painting, and packaging.The purpose of this research is to get a standard working time and line balancing to provide additional information on the process of making Mitsubishi PS 220 radiator products so that it is easy to determine production work against consumer demand. Standard time is measured using the stop hour method, while line balancing uses the Ranked Positional Weight (RPW) method. Standard time and line balancing data is processed using Microsoft Excel 2016 software.Finally from the results processing of standard time data and line balancing obtained the number of efficient workstations is 8 workstations, idle time 10.8 minutes, balance free time (balance delay) 12.36%, efficiency of production lines (line efficiency) 87.64%.Key words :  Workstation, Waktu Baku, Jam Henti, Line Balancing, Ranked Positional Weight (RPW).

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