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JURNAL TEKNIK INDUSTRI

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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

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Perancangan Pebaikan Kualitas Produk Baut dan Sekrup Menggunakan Metode Six Sigma dan Data Mining di PT. A Rina Fitriana; Nur Anisa
JURNAL TEKNIK INDUSTRI Vol. 9 No. 1 (2019): Volume 9 No 1 Maret 2019
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

PT. A is a manufacturing company that manufactures bolts and screws in accordance with customer demand. This study aims to determine the type of dominant defect that causes a decrease in quality, the factors that cause disability and apply proposed improvements to reduce the level of disability. Improvements are made by using the Six Sigma method, namely the DMAIC stage and making a decision tree (decision tree) using the Data Mining application. Where for the DMAIC stage are: Define, Measure, Analyze, Improvement, and Control (DMAIC). At the define stage, it was found that the production process with the largest number of defects was in the process of heading with the number of defects exceeding the target of 600 PPM (parts per million) that had been determined by the factory during April - June 2017. The heading process was the most important problem focused on the research conducted. The results of identification of Critical to Quality (CTQ) for the characteristics of attribute defects in the production of bolts and screws in the heading process are head burry, head no center, head crack, and body scratch. The second stage is the measure stage, where the control used by statistical process control (SPC) for attribute data is using the P control map and is known to have a sigma 3.50 level with a DPMO value of 22,727. The third stage is the Analyze stage, analyzing the problems of the four types of defects using the Ishikawa diagram. The improvement stage resulted from the decision tree in data mining processing that is obtained by standardizing inspections with seven IF THEN RULE functions, and making maintenance activity plans in the heading process. After implementation, there is a control stage, the results of the analysis show that after implementation using the data mining method and the Six Sigma method, the sigma value has increased which was originally 3.50 to 3.67.

Analysis of Production Priority using Winter Forecasting Method and Analytical Hierarchy Process Ary Fitriyono; Raditya Indra Kusuma; Humiras Hardi Purba
JURNAL TEKNIK INDUSTRI Vol. 9 No. 1 (2019): Volume 9 No 1 Maret 2019
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Forecasting is a tool to determine the extent of future conditions which will affect decisions on the strategic policy direction. Making the best decisions requires an analysis tool as a means for the level of accuracy can be achieved. This paper aims to forecast sales conditions radiator type A, type B and type C in 2016 and set priorities based on the results of analysis AHP production. The method used in forecasting using the method of Winter and decision analysis using AHP Pairwise comparison. Forecasts for radiator type A and type B tend to fluctuate while the linear C-type radiator, resulting in the production of type C are preferred. AHP analysis results indicate that the radiator of type C have a dominant score on the criteria of Production (0.382), Selling Price (0.376), Design (0.340), and Market Segment (0.329). As for Durability criteria, type B has the highest score of 0.391. Changes in sensitivity criteria has no significant effect on C-type radiator, so that it can be concluded radiator type C is a priority in radiator production line at company X for 2016.

Penjadwalan Produksi Flow Shop untuk Meminimalkan Makespan dengan Metode Pour, Pemrograman Dinamis dan Branch and Bound di CV. Bonjor Jaya Dwi Agustina Kurniawati
JURNAL TEKNIK INDUSTRI Vol. 9 No. 2 (2019): VOLUME 9 NO 2 JULI 2019
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Scheduling is defined as the process of allocating resources to select a set of tasks within a certain period. CV. Bonjor Jaya implements scheduling with the First Come First Serve (FCFS) system. This study aims to find the sequence combination of products that have a minimum makespan value using the Pour method, Dynamic Programming and Branch and Bound. The Pour method produces a combination of 3-4-2-1 with an makespan value of 89814.59 seconds. Dynamic Programming Method produces a combination of 3-1-2-4 sequence with an makespan value of 90012.03 seconds. The Branch and Bound method produces a sequence combination of 3-4-2-1 and 3-2-4-1 with an makespan value of 89814.59 seconds. Based on the makespan value obtained, the Pour and Branch and Bound methods are the most appropriate method to be applied in the CV. Bonjor Jaya with the difference in makespan value 484.39 faster than the scheduling method applied by the company.

Optimizing the Assembly Process in the Hang on Part Station by Adding Supporting Tools at Automotive Company PT. XYZ Indonesia Felix Siswanto Lie; Anton Royanto Ahmad; Setijo Awibowo
JURNAL TEKNIK INDUSTRI Vol. 9 No. 2 (2019): VOLUME 9 NO 2 JULI 2019
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Human is the most important aspect in every manual process. When it comes to the manufacturing process, the power of human will affect a huge part of the result. It does not matter how good the raw material is, if the worker cannot do the good job to the material, the product will not be good as well. The same case happens in an automotive company. In their factory plant, most of all activities are done by human. The automatic process can still be counted. These manual processes affect directly to the cycle time in the stations. In this research, the focus of the observation is in a Hang on Part station which is the first station in the assembly line of this automotive factory plant. Since it is the first place to start the assembly process in whole plant, an improvement is important in order to increase the productivity in the assembly line. The improvement is conducted by designing the supporting tools to help the worker in the station optimizing the activity they do, analyzing the product with software to see if there is any mistake by the design, and count the new cycle time by using the supporting tools to see if there is any improvement. It is expected to reduce the cycle time and reduce the worker in the station.

Aplikasi Model DMAIC dari Six Sigma dapat Memperbaiki Kualitas Produk Kapur Aktif Purwo Sudirdjo
JURNAL TEKNIK INDUSTRI Vol. 9 No. 2 (2019): VOLUME 9 NO 2 JULI 2019
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

The need for active lime for the industry is quite a lot, including as a raw material for the production process, management of its main industrial waste and as a filler because many elements of CaO are needed. The needs are still insufficient because the items requested are mostly not in accordance with the specter requested by the user and after all the producers still use traditional methods and their human resources are still low so that meeting consumer demand is very difficult. With the Six Sigma method, the DMAIC model is used to improve and improve the quality of continuous active lime products so as to improve quality and quantity in the hope that consumer needs can be met. Based on the results of testing in the field and making repairs in the production unit to fruition can reduce the value of DPMO in the month before repairs (January - March 2015) amounting to 159506 and in June to 11585 with a percentage decrease of 7.26%. Thus the increase in sigma value in April was 3.43 sigma to 3.77 sigma. if a comparison of rework cost recording is made, the amount of rework cost before repairs is 10.63% of the total production value (Rp. 12,242,000) and after repairs in June 4.63% (Rp. 5,672,000), the savings obtained from the company are 6% (Rp. 7.343689, -) for spending on rework costs. By applying the Six Sigma method the DMAIC model in the production process which always makes continuous improvements can increase profits on the part of producers.

Analisis Perilaku Mahasiswa Sains dan Teknologi dalam Penggunaan Smartphone (gadget) untuk Meningkatkan Prestasi Akademik Ekie Gilang Permata; Harpito Harpito; Ismu Kusumanto; Zulmiriyanto Zulmiriyanto
JURNAL TEKNIK INDUSTRI Vol. 9 No. 2 (2019): VOLUME 9 NO 2 JULI 2019
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Nowadays smartphone users are increasing, including Industrial Engineering Students at UIN SUSKA Riau. The use of smartphones has a positive-negative impact so it is worth responding to as best as possible. Student behavior using smartphones varies, whether it is in line with expectations to improve academic achievement. Research knows how the behavior of students using smartphones with statistical tests, namely the test of validity, reliability and linear regression test to determine the effect of independent variables on the dependent variable (Student IP). Based on the results of the study involving 260 samples from 737 population of Industrial Engineering Students in 2018 showed a reliability value of 0.746 with 25 statements declared valid. The results of linear regression are Y=2,796+0,004X1-0,029X2+0,019X3+0,089X4+0,051X5+0,033X6+0,051X7. The most influential variable is the variable "content that is accessed", meaning that if the content is accessed can be increased it can improve academic achievement. The negative value is the variable "Asking the Lecturer with social media", meaning that asking a lot of lecturers with social media is not recommended especially personal matters because of the lecturer guiding. Thus the behavior of students using smartphones influences academic achievement.

Perancangan Model Simulasi Tata Letak Gudang Bahan Baku dengan Menggunakan Metode Shared Storage pada PT. Braja Mukti Cakra Nadya Adira Fabiani; Parwadi Moengin; Sucipto Adisuwiryo
JURNAL TEKNIK INDUSTRI Vol. 9 No. 2 (2019): VOLUME 9 NO 2 JULI 2019
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Braja Mukti Cakra (PT) is a company engaged in manufacturing that produces high-precision machined products, in the form of automotive components in Indonesia. Problems that occur at PT. Braja Mukti Cakra is in the warehouse of raw materials, where the laying of raw materials that are not optimal is due to the lack of naming and distribution of the types of raw materials on the shelves or pallets in the warehouse. This causes operators to have difficulty in finding raw materials to be sent to the production floor and causes the time to take raw materials to be long so that there will be delays in shipping to the production floor. The purpose of this study is to design a simulation model to improve the layout of the raw material warehouse from the storage area to the warehouse exit that can be used to evaluate the time taken for raw materials and the time of transfer of raw materials. In this study the first step is to evaluate the warehouse layout of raw materials using a checksheet to determine the condition of the current raw material warehouse and use a map of the raw material extraction process flow to determine the flow of the raw material extraction process. Next is the initial simulation model of raw material warehouse layout to understand the actual system. The model that has been built is then verified and validated. If the model is declared valid, improvements are made to existing problems by improving the warehouse layout of raw materials and the placement of existing raw materials using the shared storage method as a proposal for raw material warehouse layout. Standard raw placement, pay attention to raw materials that have the same purpose and are made into the same rack or pallet or located adjacent to the shelf or pallet to each other so as to get a shorter time in the shipping process. The number of proposed improvements in the raw material warehouse layout are 3 proposals. The first proposal is the addition of material handling, the second proposal uses the shared storage method and the third proposal uses shared storage methods and the addition of material handling. For the selection of the best proposals, the Benferonni method was used and used the results of the checksheet evaluation. The best proposal is the third proposal with the time of raw material collection and the transfer of raw materials to the warehouse exit which is equal to 71.18 hours. Compared with the initial simulation model which has the time to take raw materials and the transfer of raw materials to the warehouse exit of 122.23 hours. From this best proposal, it was obtained a time savings of 51.05 hours or 41.76%.

Model Sistem Intelejensia Bisnis Untuk Perbaikan Pelayanan E-Service Pada PT. X Rina Fitriana; Johnson Saragih; Marya Anggi Aseanita
JURNAL TEKNIK INDUSTRI Vol. 9 No. 2 (2019): VOLUME 9 NO 2 JULI 2019
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

PT. X is one of the best airlines in Indonesia. The business intelligence system can participate as a tool to provide accurate and useful information for decision makers within the time limit that is determined to support decision making in the company's E-service services. The purpose of this study is to identify the factors that are attributes of E-Service services at PT. X. and proposed the adoption of the Business Intelligence system model for PT.X airline E-service services as a proposed service improvement. The data used are customer comment data on the Jakarta route to Singapore and Singapore to Jakarta for the period January to December 2015. The research method used is a combination to develop business intelligence research is the Pareto Diagram, Unified Modeling Language (UML), Naïve Bayes Data Mining algorithm, On Line Analytical Processing (OLAP), Extract, Transform, Loading (ETL), and Data Warehousing. From the results of data processing that has been done, it can be seen the factors attributes of E-service services are case origin, comment type, flight number, root case, and unit to charge. From the results of the calculation of the second stage of Naïve Bayes data mining, it is obtained that the greatest probability of the highest probability on the Jakarta route to Singapore is the prior probability between the customer care classification class and the suggestion form with a prior probability value of 0.92, between the inflight service classification class and the customer care priority value. equal to 1, class classification comment type compliment and customer care with prior values probability of 0.76. The prior probability of the greatest probability on the Singapore route to Jakarta is the prior probability between the customer care classification class and the suggestion form with the prior probability value of 0.92, between the inflight service classification class and the customer care with a probability prior value of 1, and between class classifications comment type compliment and customer care with a prior value of probability of 0.78. Based on the results of the largest posterior calculations, the proposed improvements were prioritized more on divisions or units to charge.

Analisis Pengukuran Kinerja di Departement Quality PT. ABC Dengan Metode Balance Score Card dan Path Analysis Kenny Halim; Ryan Permana; Andi Setyawan; Zulfa Fitri Ikatrinasari
JURNAL TEKNIK INDUSTRI Vol. 9 No. 2 (2019): VOLUME 9 NO 2 JULI 2019
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

To achieve the company's vision and mission as well as the strategy needed by strategic targets (strategy map) from each department to be able to match the indicators that can be obtained from each department. In this study conducted at the quality department at PT. ABC by using a balance perspective 4 score card. Balance Score Card is one of the management tools used to carry out strategies and measure performance with 4 factor perspectives. Key performance indicators (KPI) will be included in the annual performance appraisal and the KPI assessment results will be carried out with controls and reviews with a certain time frequency. The results of the analysis increase the performance and motivation of employees towards improving employee performance by increasing employee performance with a significance of 0,000 <0,05, while the work motivation of employees in improving employee performance by increasing employee performance with a significance of 0,030 <0,05.

Perbaikan Tata Letak Lantai Produksi Menggunakan Metode Simulasi dan Systematic Layout Planning untuk Meminimasi Waktu Produksi di PT. Lestari Teknik Plastikatama Parwadi Moengin; Rahmatika Renanda Riyadina; Debbie Kemala Sari
JURNAL TEKNIK INDUSTRI Vol. 9 No. 3 (2019): Volume 9 No 3 November 2019
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Intisari— PT. Lestari Teknik Plastikatama merupakan perusahaan industri fabrikasi yang bergerak pada bidang dies, press, welding serta pada bidang manufaktur dalam pembuatan spare part kendaraan bermotor di Indonesia. Permasalahan yang terdapat pada lantai produksi perusahaan adalah waktu proses produksi yang lama. Waktu proses produksi yang lama disebabkan oleh jarak perpindahan antar mesin yang jauh. Produk yang diteliti yaitu Arm Side Stand 2PH-F7331-00. Tujuan penelitian ini adalah diperolehnya evaluasi dan usulan perbaikan tata letak dengan pendekatan simulasi serta metode Systematic Layout Planning dengan harapan dapat meminimasi waktu produksi. Penelitian ini dilakukan dengan cara memperbaiki tata letak lantai produksi dan menambahkan material handling kemudian hasil di simulasikan dengan software ProModel. Langkah awal metode simulasi adalah dengan membangun model konseptual. Langkah selanjutnya membuat model simulasi dan dianalisis dengan menggunakan software ProModel. Setelah layout awal dinyatakan valid, dilakukan perbaikan dalam permasalahan tata letak lantai produksi dengan metode Systematic Layout Planning. Dari metode ini diperoleh 5 alternatif layout. Usulan layout 1 (U1) berupa pertukaran lokasi antara mesin M/C 85T dengan mesin M/C 80T. Usulan layout 2 (U2) yaitu perpindahan area mesin Drill diletakkan bersebelahan mesin M/C 80T. Usulan layout 3 (U3) merupakan penambahan material handling pada layout awal. Usulan 4 (U4) merupakan penambahan material handling pada usulan layout 1. Usulan 5 (U5) adalah penambahan material handling pada usulan layout 2. Dari hasil simulasi, layout usulan 5 (U5) merupakan alternatif terbaik karena memiliki waktu rata-rata produksi sebesar 1290.25 jam atau mengalami penurunan waktu produksi sebesar 61.36%. Abstract— PT. Lestari Teknik Plastikatama is a fabrication industrial company engaged in the field of dies, press, welding as well as in the manufacturing sector in the manufacture of motor vehicle spare parts in Indonesia. The problem with the company's production floor is a long production process. The long production process time is caused by the long distance between machines. The product under study is the Arm Side Stand 2PH-F7331-00. The purpose of this study is to obtain an evaluation and proposed layout improvement with a simulation approach and the Systematic Layout Planning method in the hope of minimizing production time. This research was conducted by improving the layout of the production floor and adding material handling then the results were simulated with ProModel software. The initial step of the simulation method is to build a conceptual model. The next step is to create a simulation model and analyze it using ProModel software. After the initial layout is declared valid, an improvement is made in the production floor layout problem with the Systematic Layout Planning method. From this method obtained 5 alternative layouts. The proposed layout 1 (U1) is in the form of an exchange location between the 85T M / C engine and the 80T M / C engine. Proposed layout 2 (U2), which is the displacement of the Drill machine area, is placed next to the 80T M / C engine. Proposed layout 3 (U3) is the addition of material handling to the initial layout. Proposal 4 (U4) is the addition of material handling to the proposed layout 1. Proposal 5 (U5) is the addition of material handling to the proposed layout 2. From the simulation results, the proposed layout 5 (U5) is the best alternative because it has an average production time of 1290.25 hours or decreased production time by 61.36%.

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Home Page

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Contact

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Contact Name Parwadi Moengin

Contact Email parwadi@trisakti.ac.id

Phone +628128210951

Journal Mail Official jurnalti@trisakti.ac.id

Editorial Address Jurusan Teknik Industri FTI Universitas Trisakti Gedung Heri Hartanto Lantai 5 JL. Kyai Tapa no 1, Grogol, Jakarta Barat-11440

Location Kota adm. jakarta barat, Dki jakarta INDONESIA

Abstract

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Contact Name
Parwadi Moengin

Contact Email
parwadi@trisakti.ac.id

Phone
+628128210951

Journal Mail Official
jurnalti@trisakti.ac.id

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Jurusan Teknik Industri FTI Universitas Trisakti Gedung Heri Hartanto Lantai 5 JL. Kyai Tapa no 1, Grogol, Jakarta Barat-11440

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Kota adm. jakarta barat,

Dki jakarta

INDONESIA