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INDONESIA
JURNAL TEKNIK INDUSTRI
Published by Universitas Trisakti
ISSN : 14116340     EISSN : 26225131     DOI : https://doi.org/10.25105/jti
Core Subject : Science, Engineering,
Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering
Jurnal Teknik Industri (JTI) mainly focuses on industrial engineering scientific essays in the form of research results, surveys and literature review that are closely related to the Field of Industrial Engineering
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 385 Documents
 1   2   3   4   5 
PEMODELAN PENINGKATAN KEHANDALAN DENGAN METODE ROOT CAUSE ANALYSIS DAN FMEA PADA PERUSAHAAN PEMBANGKIT LISTRIK Ferry Anggita Erdianto
JURNAL TEKNIK INDUSTRI Vol. 6 No. 1 (2016): Volume 6 No 1 Maret 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (664.002 KB) | DOI: 10.25105/jti.v6i1.1529

Abstract

XYZ is a company engaged in the generation of electrical energy. Reliability for powergeneration companies is very vital for the company's performance appraisal is based on the readinessof the unit to generate electricity load demand PLN (State Electricity Company). To support thereliability of the company has designed a system that is based on the reliability maintenance (RCM).RCM application at PT XYZ is dominated by mostly preventive maintenance based on time and baseline.Meanwhile failures still occur marked by numerous corrective maintenance that still occur on criticalequipment, causing derating production unit. Besides the efficiency of preventive maintenance is alsodoubtful, the amount of PM task that has become a waste of maintenance costs. The pattern of effectivemaintenance necessary to minimize disturbance.As a baseline, the analysis Root Cause Analysis is required to determine the prioritymaintenance. After that increase reliability by using Failure Mode and Effect Analysis (FMEA) wasconducted with a focus on the criteria of occurence, severity, and detection to determine the RiskPriority Number (RPN). To enhance decision-making systems have used system analysis history datainterference as well as MTBF and MTTR. Result of the merger of these methods are known to determinethe behavior maintenance task-a task that really affect the reliability of the unit.
MODEL SISTEM PEMILIHAN MATERIAL BAKER DENGAN METODE TOPSIS DI PT. MULTI KREASI MANDIRI Hafid Usman; Parwadi Moengin
JURNAL TEKNIK INDUSTRI Vol. 6 No. 1 (2016): Volume 6 No 1 Maret 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (147.112 KB) | DOI: 10.25105/jti.v6i1.1530

Abstract

Football is the most popular sport in the world and it has been an amusent almost for all peoplein the world. At the same time Adidas still leads the market share in the world of soccer reaching almostto 38% then followed by the closest competitor “Nike” reaching 36% market share (Rohlman, 2013).More than 18 years of PT. Panarub industri joins adidas as a production partner of soccer shoes. Inmaintaining consistence of PT. Panarub industry has responsibility seriously for either quality orshipment. In this way if there is a delay for the shipment of subcon company, PT. Panarub industri hasthe charge to give penalty. The success of OSE of each subcon company can be viewed from theperformance of RFT process and press process in PT MKM is a process which become the troubleprocess in the responsibility for OSE of PT. panarub approximately RFT monthly reaching 74,03% of95%.There are 17 kinds of defections causing the RFT process press doesn’t reach to 95%. Basedon the method of pareto we can get the biggest defect reaching defect open bonding approximatelydefecting monthly 9.911,8 prs (RFT80,06%). That’s way we make a systematically choice model ofTOPSIS and the result of data process we get the best material baker for the best solution in CanvasCoklat having preference value up to 0,7783.
RANCANG BANGUN MODEL PRODUCTION PRODUCTIVITY IMPROVEMENT DENGAN MENGGUNAKAN LEAN TPM DAN SISTEM DINAMIS Intan Emeralda; Dorina Hetharia; Iveline Anne Marie
JURNAL TEKNIK INDUSTRI Vol. 6 No. 1 (2016): Volume 6 No 1 Maret 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (485.184 KB) | DOI: 10.25105/jti.v6i1.1531

Abstract

Increasing productivity and quality is one of the key to make company stay competitive. LeanTPM approach is one of the way to increase productivity. Problem that usually occur at PT. XYZ is thedown time from each line of process production that causing actual production did not reach the target.It is dominantly cause by material shortage, process defect, and machine breakdown. This purpose ofstudy is to develop a production productivity improvement model with Lean TPM approach by usingdynamic system. This study is started by measuring the Loss time value, OEE (Overall EquipmentEffectiveness) value, and making VSM (Value Stream Mapping) to see the flow of material and waste.This is done to measure the actual condition. With this measurement, we can track which one cause thehighest % loss. After that, using the FTA (Fault Tree Analysis) to find the root cause of downtime andwaste produced. It needed to construct the existing dynamic model because the problem are complexsand dynamic. In that model, analytical system is done to indentified and imitated the characteristic ofthose complex systems and also to make the alternative troubleshooting repair solution.
MODEL PENDUKUNG KEPUTUSAN PEMASARAN MENGGUNAKAN FUZZY INFERENCE SYSTEM (STUDI KASUS: TOKO ONLINE) Michael Setiawan; Triwulandari SD; Pudji Astuti
JURNAL TEKNIK INDUSTRI Vol. 6 No. 1 (2016): Volume 6 No 1 Maret 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1182.979 KB) | DOI: 10.25105/jti.v6i1.1532

Abstract

The growth of Internet users both in the world and Asia give a big opportunities to develop Ecommercein Indonesia, create more Online Shops. Through the early research in the form of questionaire and interview,Online Shops have many challanges not only from competitors but also from the environment condition, Rupiahto United States Dollar rates, and also the supply condition or supplier when supplying products. To support theOnline Shops in making decisions, designed a model using Fuzzy Inference System with Mamdani because, it isintuitive and work well with human input, the model designed using MATLAB application, and for the inputs wewill be using Stock Condition, Demand Prediction from hystorical data, Ruiah to US Dollar rates, and Supplycondition, and for the outputs there will be Add stocks policy, promotional policy, contract with other supplierpolicy and price adaptation policy, for the rules we will be using the if the rules. The Models will be verified andvalidated with help from “Ikelashop” owner, the verification process will test if the rules given, give outputs asdesigned, for the validation will be using Extreme Combination Test, or using extreme combination betweencondition, face validity with help from expert to validate the outputs from Extreme Combination Test, and TuringTest with comparing between model’s output and expert decision. The result are two types of Decision SupportModel for marketing, Critical Model and Non Critical Model that is not affected by Rupiah to Dollar Rates,already verified and validated.
MODEL PENGUKURAN KINERJA LOGISTIK INDUSTRI KOMPONEN OTOMOTIF UNTUK PENGUATAN DAYA SAING DALAM RANGKA MENGHADAPI MEA Mindy Janitra Yose
JURNAL TEKNIK INDUSTRI Vol. 6 No. 1 (2016): Volume 6 No 1 Maret 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1136.221 KB) | DOI: 10.25105/jti.v6i1.1533

Abstract

Pasar bebas MEA yang menyebabkan persaingan perdagangan menjadi lebih ketat menuntut industriotomotif untuk memiliki daya saing yang tinggi. Suatu model pengukuran kinerja logistik dirancang sebagai alatevaluasi bagi perusahaan komponen otomotif di Indonesia, untuk meningkatkan kinerja logistiknya agar mampubersaing dalam pasar bebas MEA. Perancangan model pengukuran kinerja logistik ini berbasis pada perspektifLogistics Scorecard, dan terbagi dalam dua tahap: mengidentifikasi strategi bisnis rantai pasok-logistik untukmendapatkan KPI, dan menyusun model pengukuran kinerja logistik. Terdapat 23 KPI menurut lima perspektifLogistics Scorecard. Penerapan model menghasilkan skor rata-rata kinerja logistik yang tergolong cukup baikdengan beberapa indikator yang perlu ditingkatkan. Hal ini dapat dijadikan pertimbangan dalam penentuankebijakan dalam rangka meningkatkan kinerja logistik yang berdaya saing.
PENGUKURAN PRODUKTIVITAS LINI PRODUKSI PRODUK PANEL BOX PT. DWIMUKTI GRAHA ELEKTRINDO DENGAN MENGGUNAKAN METODE OBJECTIVE MATRIX (OMAX) DAN PERBAIKAN PRODUKTIVITAS Didien Suhardini; Arnolt Kristian Pakpahan; Arum Tri Astuti
JURNAL TEKNIK INDUSTRI Vol. 6 No. 2 (2016): Volume 6 No 2 Juli 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (213.03 KB) | DOI: 10.25105/jti.v6i2.1534

Abstract

PT. Dwimukti Graha Elektrindo menghasilkan produk utama Panel Box. Masalah yangdihadapi adalah target produksi tidak tercapai. Pengukuran produktivitas dilakukan dengan metodeobjective matriks (OMAX) dengan indeks produktivitas bulan Januari 0, sebagai periode dasar, bulanFebruari naik 0,56%, empat bulan berikutnya terjadi penurunan 1-1,97% secara berturut-turut.Penyebab penurunan produktivitas adalah faktor manusia karena seringnya pergantian karyawan,kurang training, banyak operator yang absen, mudah lelah, dan kurang teliti. Faktor metode yaitu tidakmembaca SOP, setup mesin terlalu lama, salah setup mesin. Faktor mesin karena mudah rusak,perawatan mesin terbatas. Faktor lingkungan banyak hari libur, dan terdapat kegiatan non produktifsecara berlebihan menyebabkan kurangnya produk yang dihasilkan setiap harinya. Metode WorkSampling digunakan untuk mengidentifikasi kegiatan produktif dan non produktif pada lantai produksi.Hasil work sampling total kegiatan ada 24 jenis, 12 jenis kegiatan produktif, dan 12 jenis kegiatan nonproduktif. Hasil pengamatan menunjukan kegiatan produktif yaitu sebesar 63,56%, dan non produktif36,44%. Untuk mengurangi kegiatan nonproduktif dilakukan perawatan mesin secara berkala,penggunaan Conveyor untuk pemindahan bahan, membuat toilet, menyediakan pantry dekat denganlantai 1 dan membuat aturan disiplin kerja. Usulan perbaikan yang bisa diterapkan adalah penetapanaturan disiplin dengan cara kepala produksi mengawasi jalannya proses produksi secara ketat. Hasilpengamatan kembali kegiatan produktif naik menjadi 77,8% dan non produktif turun menjadi 22,2%,dan produktivitas bulan Juli naik 12,50%.
EVALUASI DAN USULAN PERBAIKAN KAPASITAS PRODUKSI UNTUK MENCAPAI TARGET PRODUKSI MENGGUNAKAN METODE THEORY OF CONSTRAINTS DAN SIMULASI Jessica Paune; Parwadi Moengin
JURNAL TEKNIK INDUSTRI Vol. 6 No. 2 (2016): Volume 6 No 2 Juli 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (748.682 KB) | DOI: 10.25105/jti.v6i2.1535

Abstract

PT. Topjaya Antariksa Electronics merupakan perusahaan yang bergerak dalam industrimanufaktur dan distribusi peralatan rumah tangga. Produk yang diteliti adalah produk utama yangdihasilkan PT. Topjaya Antariksa Electronics yaitu lemari es (refrigerator). Permasalahan yangdialami oleh perusahaan adalah kapasitas produksi yang kurang memadai untuk mencapai targetproduksi yang ditentukan. Tujuan dari penelitian ini adalah untuk melakukan evaluasi dan memberikanusulan perbaikan kapasitas produksi untuk mencapai target produksi pada divisi final shop. Targetproduksi untuk produk lemari es (refrigerator) perminggunya adalah sebanyak 6890 unit, sedangkanhasil produksi pada saat ini adalah sebanyak 5671 unit/minggu.Metode yang digunakan dalam penelitian ini adalah Theory Of Constraints dan Simulasi. Data– data yang digunakan didapat dari hasil pengamatan dan wawancara yang telah dilakukan di divisifinal shop. Data hasil pengamatan yang ada diuji keseragaman dan kecukupan data sehinggadihasilkan 15 data waktu pengamatan untuk waktu proses produksi. Data waktu tersebut digunakanpada perhitungan Theory Of Constraints yaitu untuk mengetahui area/stasiun kerja yang mengalamibottleneck. Dari hasil perhitungan Theory Of Constraints menunjukkan area bending, area caping,area relay dan area ass door mengalami bottleneck yaitu dengan kurangnya 1 operator pada masing– masing area tersebut, sedangkan area compressor dan area capilary yang merupakan area nonbottleneckmemiliki kelebihan 2 operator dan 1 operator. Hasil perhitungan Theory Of Constraintsakan menjadi dasar dalam membangun model usulan dengan menggunakan simulasi.Dalam simulasi langkah awal yang dilakukan adalah membangun model yangmenggambarkan kondisi awal lantai produksi. Hasil output simulasi model awal menghasilkan 5671unit/minggu. Setelah itu dilakukan pengembangan model-model scenario dari semua kemungkinansebagai pertimbangan model usulan. Dari 11 skenario yang ada didapat 5 model usulan. Dari kelimamodel usulan yang ada dilakukan uji bonferroni untuk mengetahui apakah hasil output dan persentaseutilitas antara model usulan yang ada berbeda signifikan atau tidak. Dari hasil tersebut dapatdisimpulkan model usulan terbaik yaitu model usulan V yaitu dengan melakukan penambahan 1operator baru pada area bending dan melakukan pemindahan 2 operator pada area compressor yaitu1 operator pada area caping dan 1 operator pada area relay serta melakukan pemindahan 1 operatordari area capillary ke area ass door. Pada model usulan V ini menghasilkan output produksi sebanyak8387 unit/minggu dengan persentase utilitas operator sebesar 78.01%.
ASPEK SUSTAINABILITY SUPPLY CHAIN TERHADAP KEPUTUSAN PEMBELIAN MOBIL LCGC PREFERENSI CUSTOMER JAKARTA Paduloh Paduloh; Humiras Hardi Purba; Vardian Giovanni; Deny Wibisono
JURNAL TEKNIK INDUSTRI Vol. 6 No. 2 (2016): Volume 6 No 2 Juli 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (92.423 KB) | DOI: 10.25105/jti.v6i2.1536

Abstract

This study was made to know the features of any vehicle feature on which decisions of consumers inJakarta when it took the decision to choose a vehicle. The method of research by giving questionnairesto 120 respondents and data processed using SPSS 16 to determine the degree of importance, usingdescriptive analysis and frequency. This study was conducted based on the number of vehiclemanufacturers of four-wheel vehicles in LCGC (Low Cost Green Car), researchers wanted to knowwhether the feature LCGC effect on supply chain sustainability. Feature - a feature built into thequestionnaire is physical endurance and durability of the product, engine performance and Type latestmachinery, Recycling of plastic materials and metals, the use of environmentally friendly raw materials,the ethical aspects and environmental supplier, the price of the vehicle, the number of passengers in thevehicle and the shape and models of vehicles. based on the results of the questionnaire which featuresare most influential in determining the selection of a vehicle is the price of the vehicle, followed bynumber of passengers, and then features eco-friendly materials and performance and the latest enginetypes. Based on the degree of interest of 95% consider price feature becomes an important factor even40% thought it very important. For features an environmental friendly raw materials use 100% of therespondents agreed to consider these important features.
PENINGKATAN PRODUKTIVITAS ALAT MUAT SEKELAS OHT CAT 777 DI PERTAMBANGAN BATUBARA DENGAN PENDEKATAN QUALITY CONTROL CIRCLE Arif Nuryono; Didin Sjarifudin; Qadhi Ahmad
JURNAL TEKNIK INDUSTRI Vol. 6 No. 2 (2016): Volume 6 No 2 Juli 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (413.432 KB) | DOI: 10.25105/jti.v6i2.1537

Abstract

PT Riung Mitra Lestari trying to improve the main load tool off high way truck (OHT) from one of theirjob site dari salah satu job site owned PT. RML, Job Site Krassi, North Kalimantan where data showedgains in productivity tools primarily under standard load. In January – August 2015 trend ofproductivity gains is 83%. Krassi site that has the most difficult locations and conditions of 80% peatland. With the location With a location 80% peat into one unique in handling dan its mining methods.Research conducted using the QCC method to improved productivity mining equipment. Improvementgroup is often called QCC uses severeal tools improvement and productivity improvement measures.Inthe analysis of the probem or step 3 there are several causes at the root of the problem of inaccesibilityCat hauler unit 777. In actual achievement prior to productivity improvement tool hauler Cat 777 is 78bcm / hour of a target of 100 bcm / hour.In percentage only reaches 78% and the target after QCCapplication is expected to reach 95%. Based on fishbone and pareto analysis major problem and thedominant causes of the failure in the productivity tool loading and unloading is less good technique,the second is the lack of a hard material that serves as mixing and blending. By making improvementin loading technique and road repair there is productivity improvement 57,3 % dari from previous dataand 22,8 % improvement from target. The other factor that affected incapability of production is losstime. After QCC improvement loss time decreased into 90,14 minutes per days from previously 227,14minutes / days.
PENGENDALIAN PERSEDIAAN MELALUI PENENTUAN PRODUK STRATEGI Nurul Dzikrillah; Humiras Hardi Purba; Dhonny Suwazan; Noer Wahjoedi
JURNAL TEKNIK INDUSTRI Vol. 6 No. 2 (2016): Volume 6 No 2 Juli 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (51.553 KB) | DOI: 10.25105/jti.v6i2.1538

Abstract

Fokus utama pada pemenuhuan kebutuhan pelanggan saat ini adalah pebaikan kualitas terusmenerusdan pengendalian biaya. Persediaan yang tersimpan dalam jumlah besar hanya akanberakhir sebagai pemborosan. Memilih kebijakan yang tepat dan mempertahankanoptimalnya tingkat persediaan merupakan tanggungjawab personel PPIC dalam menjagakestabilannya. Pemilihan kebijakan persediaan adalah sangat penting dalam menghadapipersaingan global yang intensif dan dinamis. Penelitian kali ini bertujuan untuk menguranginilai persediaan melalui penetapan strategi produk. Peneliti mengusulkan klasifikasi modelpersediaan berdasarkan perencanaan produksi dan demand pasar. Hasil yang didapat adalahnilai persediaan menurun tiap bulannya secara stabil dengan nilai persediaan untuk akhirtahun pada saat melakukan perhitungan inventory projection adalah sebesar 11.3 juta USDdimana mencapai target yang ditetapkan perusahaan yaitu sebesar 11.5 juta USD. Dan nilaiDIO pada akhir tahun menjadi 75 hari.

Page 3 of 39 | Total Record : 385

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