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All Journal Jurnal Teknik Industri Jurnal Teknoin J@TI (TEKNIK INDUSTRI) SPEKTRUM INDUSTRI Jurnal Konstruksia Journal of Engineering and Management in Industrial System SITEKIN: Jurnal Sains, Teknologi dan Industri JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Binus Business Review Jurnal Rekayasa Sipil dan Lingkungan Jurnal Rekayasa Sipil Jurnal Sistem dan Manajemen Industri JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING Syntax Literate: Jurnal Ilmiah Indonesia JURNAL REKAYASA SISTEM INDUSTRI Sosio e-kons JKIE (Journal Knowledge Industrial Engineering) Jurnal INTECH Teknik Industri Universitas Serang Raya ComTech: Computer, Mathematics and Engineering Applications Jurnal Ilmiah Teknik Industri INAQUE: Journal of Industrial & Quality Engineering Jurnal Sistem Teknik Industri Jurnal Abdi Masyarakat (JAM) Matrik : Jurnal Manajemen dan Teknik Industri Produksi Sondir Jurnal Media Teknik dan Sistem Industri International Journal of Industrial Optimization (IJIO) Journal of Industrial Engineering & Management Research (JIEMAR) Quantitative Economics and Management Studies Journal of Industrial and Engineering System INVENTORY : Industrial Vocational E-Journal On Agroindustry Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Teknologi dan Manajemen AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Prosiding Seminar Nasional Program Pengabdian Masyarakat JURNAL TEKNIK INDUSTRI Proceeding Mercu Buana Conference on Industrial Engineering Journal of Community Services in Sustainability Spektrum Industri
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The Implementation of ABC Classification and (Q, R) with Economic Order Quantity (EOQ) Model on the Travel Agency Anggi Oktaviani; Heru Subawanto; Humiras Hardi Purba
ComTech: Computer, Mathematics and Engineering Applications Vol. 8 No. 1 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i1.3778

Abstract

To support customer loyalty programs, the travel agencies gave a souvenir to their customers. In one of the travel agencies in Jakarta, the demand for travel agency services could not be ensured. This had an impact on inventory items that were surplus to requirements. Inventory management was done by combining classifications ABC and (Q, R) with Economic Order Quantity (EOQ) model, which was usually used for uncertain demand. With “A” classification of the goods, two model (Q, R) scenarios were made and then simulated with software Arena. From these two scenarios, the results show that both have a tendency to decline, or the stockouts occur. However, the second scenario is more optimistic because a dummy variable is added the second scenario. Thus, the tendency is stable and does not decline.
The Implementation of Quality Function Deployment (QFD) in Tire Industry Hari Abdul Hadi; Humiras Hardi Purba; Kurnia Sigma Indarto; Rorio Gomgom Paska Simarmata; Guntur Pratama Putra; Dabith Ghazali; Siti Aisyah
ComTech: Computer, Mathematics and Engineering Applications Vol. 8 No. 4 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i4.3792

Abstract

This research had two main objectives. The first research objective was to make the right design of new product according to customer requirements with the implementation of Quality Function Deployment (QFD) in the tire industry. The second research objective was to enhance competitiveness based on the renewal of marketing strategy and consumer needs, non-explosive prohibition, non-slip tires, no bulgy, and competitive prices. The research was carried out by using costumer satisfaction rating by comparing with the competitor companies. Based on calculation using QFD method, it shows that split liner has the highest percentage of technical requirement in tire industry about 30,57%. The second factor is pattern design about 25,98%. Then, the third factor is compound technology about 22,68%. Therefore, the researchers can recommend several strategies for the quality improvement based on customer needs for the tire industry.
Performance Maintenance Analysis Using QFD Method: A Case Study in Fabrication Company in Indonesia Wardah Rizlan; Humiras Hardi Purba; Sudiyono Sudiyono
ComTech: Computer, Mathematics and Engineering Applications Vol. 9 No. 1 (2018): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v9i1.4456

Abstract

This research aimed to determine the needs and wants of production and management team to improve the machine and performance maintenance. Voice of the Customer (VOC) method was used to capture the needs and wants of production and management team. Meanwhile, the method of Quality Function Deployment (QFD) was used to translate the needs and wants of production and management to the technical requirement that should be done to improve machine and performance maintenance. Moreover, Total Productive Maintenance (TPM) was a part of technical requirement. From the result, it is known that long breakdown machine, huge inventory of spare part, and high cost of maintenance become the first of priority of maintenance team to achieve customer satisfaction. To develop the performance maintenance, the company should standardize the procedure, identify the critical spare part, reduce the time to purchase critical spare part, and increase lifetime of spare part.
Quality Function Deployment for Quality Performance Analysis in Indonesian Automotive Company for Engine Manufacturing Choesnul Jaqin; Ahmad Rozak; Humiras Hardi Purba
ComTech: Computer, Mathematics and Engineering Applications Vol. 11 No. 1 (2020): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v11i1.6164

Abstract

The research aimed to improve the quality problem from the previous plant that contributed to the Rate of Quality (RQ) and Overall Equipment Effectiveness (OEE) value in Cylinder Block Machining (CBM). The research was done in one of an automotive company in Indonesia. It had been applying Total Productive Maintenance (TPM) with Kaizen spirit to make continuous improvement even though this company had reached a world-class level on the Japan Institute of Plant Maintenance (JIPM) standard. To express the needs and wants of the current machining plant and improve quality problems from the previous process in the casting plant, the researchers used Quality Function Deployment (QFD) method. From the result, it is known that shrinkage defect at a casting product becomes the priority of the kaizen team to achieve next process customer satisfaction in a machining plant to increase the RQ and OEE value. By implementing improvement based on the highest value of Technical Priorities (TP) from House of Quality (HOQ), it can increase RQ value in CBM from 96,4% in December 2018 to 97,9% in February 2019. Then, OEE value increases from 92% to 93% within two months.
The Application of Quality Function Deployment in Car Seat Industry Humiras Hardi Purba; Sunadi Sunadi; Suhendra Suhendra; Else Paulina
ComTech: Computer, Mathematics and Engineering Applications Vol. 11 No. 1 (2020): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v11i1.6329

Abstract

The research aimed to ensure the right design of new products based on customer needs and to improve competitiveness based on renewal marketing strategies and customer needs in the car seat industry. Customer satisfaction ratings were used to compare with competitors. Then, the Quality Function Deployment (QFD) was implemented for the analysis. The research used total sampling or complete enumeration. So, the sample size was the same as the population size. Based on calculations using the QFD method, it shows that the seat option has the highest percentage of technical requirements in the car seat industry around 27,39%. The second factor is material about 25,94%, and the third factor is the damping characteristic about 19,17%. For continuous quality improvement in the future, a lot of customer needs regarding the seat car need to be developed.
Improving Ballastless Track Quality Using Project Quality Management and SmartPLS Putri Elsari Rahmayana; Humiras Hardi Purba; Budi Susetyo
ComTech: Computer, Mathematics and Engineering Applications Vol. 12 No. 1 (2021): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v12i1.6616

Abstract

Transportation is still a significant problem in Indonesia. Indonesians prefer to use private vehicles for daily mobility purposes because public transportation lacks safety and comfort and has a longer trip duration. This issue causes congestion and air pollution problems. Hence, sustainable railbased public transportation is recommended. Light Rail Transit (LRT) tends to be congestion-free and has a relatively shorter travel time with a large passenger capacity. Most LRT track constructions use the ballastless track. However, this track construction is still new in Indonesia. The research aimed to determine the most important factors in improving ballastless track construction performance on LRT. The research referred to the existing LRT construction in Indonesia using Lean Construction (LC) and Project Quality Management (PQM) approaches. Statistical science approach with SmartPLS software was also used in data processing and modeling the relationship between variables. The research was conducted by distributing questionnaires to determine the most important factors in improving the quality of ballastless tracks with variables and indicators extracted from LC and PQM methods. From five tested hypotheses, only one hypothesis is accepted. Quality control has a positive effect on track quality. It is also found that quality control becomes the most important variable in improving ballastless track quality.
Overall Equipment Effectiveness to Increase Productivity of Injection Molding Machine: A Case Study in Plastic Manufacturing Industry Sunadi Sunadi; Humiras Hardi Purba; Else Paulina
ComTech: Computer, Mathematics and Engineering Applications Vol. 12 No. 1 (2021): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v12i1.6706

Abstract

In line with the unstable market conditions in Indonesia, especially the plastic manufacturing industry, the companies need to be well prepared to survive. There were two research goals. First, it was to find out why the Overall Equipment Effectiveness (OEE) rate at the company did not meet the expected standard. Second, it was to determine what improvement should be made to increase the OEE for the machine. The research applied a case study in one of the plastic manufacturing industries located in Tangerang, Indonesia. It focused on the performance of Toshiba injection molding machine number 42/IS 450 GSW. The analysis was performed by applying Failure Mode and Effect Analysis (FMEA) with support from other tools such as Pareto chart, Cause and Effect Diagram (CED), and six big losses. By following the whole framework of the research, it finds causes of why the OEE does not meet the target. Then, from the results, it can be concluded that the implementation of the methods has a positive impact on the company. The OEE rate increases from an average of 26,43% to 78,87%. It means the OEE rate has achieved the company target of 75%.
Design of Experiment (DOE) Analysis with Response Surface Method (RSM) to Optimize the Electroplating Parameter Adi Permana; Humiras Hardi Purba; Sawarni Hasibuan
ComTech: Computer, Mathematics and Engineering Applications Vol. 12 No. 2 (2021): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v12i2.6998

Abstract

Identifying optimum process parameters, their effects, and contributions to the outcomes of electroplating thickness in the electroplating process is very time-consuming and requires high cost. Small Medium Enterprises (SMEs) use a traditional approach in determining optimum process parameters that can lead to an inefficient result, such as a high variation in the response. Design of Experiment (DOE) can identify the significant factors in the process, show the correlation of each factor, and determine the optimum process parameter to achieve the targeted response (thickness). The research aimed to use DOE analysis with Response Surface Method (RSM) to optimize the electroplating parameter. It was experimental research using real production part as the DOE sample and Minitab statistic software to analyze the result. The used sample in the experiment was the continuous product order from a home appliance manufacturer. Then, four factors during the electroplating process were chosen: electrolyte concentration, electric current, duration of timing, and surface of the electroplated area. The results show that to reach thickness at 40 microns, it needs the optimum parameter with 5 minutes duration, electrolyte density of 22 Baume, electricity of 5 Volt, and surface area product of 415 cm2. This condition leads to capacity improvement of up to 100%. Hence, it decreases overtime costs and contributes to reducing energy consumption.
The optimization of distribution and transportation costs for common good products Fibi Eko Putra; Humiras Hardi Purba; Indah Astri Anggraeni
International Journal of Industrial Optimization Vol. 1 No. 2 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v1i2.2368

Abstract

Transportation problems, which concerned in finding the minimum cost of transporting a single commodity from a given number of sources to a given number of destinations, are an integral part of the industrial system that has been around for a long time. The number of potential losses caused by transportation problems has made many parties take initiatives and efforts to solve those problems, usually by designing an optimal distribution model. The current study employs two methods named North West Corner (NWC) and Stepping Stone (SS) method in order to find distribution model with the most optimal costs for common good products. Through this research, the NWC method is utilized to generate initial model or solution, while the SS method is used afterward to find the optimal solution. According to it scheme, the result shows that through the NWC method there was cost reduction of $ 8,301, while the distribution model obtained from the Stepping Stone method resulted in a significant cost increased of $ 307,369. Thus, it can be concluded that the use of single method, namely NWC method, in this study provides much better results than using the combined NWC and Stepping Stone method.
PENGENDALIAN PERSEDIAAN MELALUI PENENTUAN PRODUK STRATEGI Nurul Dzikrillah; Humiras Hardi Purba; Dhonny Suwazan; Noer Wahjoedi
Sosio e-Kons Vol 8, No 2 (2016): sosio e-kons
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (233.031 KB) | DOI: 10.30998/sosioekons.v8i2.923

Abstract

Quality improvement and costs control are vital to organizations for work performance enhancement and fulfilling customers’ requirement. Inventories that are stored in large amount of quantities will result in waste. It is a significant job for the inventory control personnel to select an appropriate policy and maintain an optimum level of inventory. The selection of inventory policy is very much important in the current scenario of intensive global competition and dynamic nature. The aim of this study is to reduce inventory value by determining strategy of each product. Inventory model classification was done based on production planning and total pending order. The result is inventory value reduce by the end of the year in 11.3 million USD which is achieve the target. The target was locked in 1.5 million USD. DIO value is 75 days by the end of the year. Key Word: inventory, inventory model classification, product strategy, inventory proection
Co-Authors Adi Permana aditya brata Aditya Putra, Aditya Agus Bambang S Noor Agus Suhendar Agusman Agusman Ahmad Barri Ahmad Mico Wahono Ahmad Rozak Aina Nindiani Algi Fahri Amin, Haidar Khoirul Andi Martis Angga Ditya Kusuma Anggi Oktaviani Anggi Oktaviani Anggraeni, Indah Astri Apriani, Ades Yulia Ardhani Agnas Pratama Aris Trimarjoko Ary Fitriyono Atikno, Welly Aulia, Dinal Ayu Puspa Wirani B. Adi Suryo Pranoto Bambang Setiawan Budi Susetyo Budi Susetyo Candra Purowenang Choesnul Jaqin Choesnul Jaqin Choesnul Jaqin Choesnul Jaqin Choesnul Jaqin Cucu Suhara Dabith Ghazali Deni Ahmad Taufik Deny Wibisono Dhonny Suwazan Dias Irawati Sukma Didin Sjarifudin, Didin Dina Rosdiana Dinal Aulia Dinal Aulia Duden Dodi Hartono Edward Steven Eki Febridiko Eki Febridiko Eko Hariyanto Eli Ermawati Else Paulina Erry Rimawan, Erry Fahriza Nurul Azizah Farida Rahma Anggraini Fauzy, R Fauzy Febridiko, Eki Fery Siswantoro Fibi Eko Putra Fitria, Febriola Nova Fransisca Debora Fransisca Debora Ghazali, Dabith Gita Prawesti Guntur Galatika Yunistra Guntur Pratama Putra Hadi, Hari Abdul Haidar Haidar Hari Abdul Hadi Haryo Wacono Hasbullah Hasbullah Hasbullah Hasbullah Hasbullah Hasbullah Hasiholan Manurung Hasiholan Manurung Hendra Adiyatna Hendra Adyatna Heri yanto Herman Irawan Hermanto Dwiatmoko Hermawan Budi Prasetya Hernadewita, Hernadewita Heru Subawanto Hibarkah Kurnia Hidayat, Fadli Hilmana Radhia Putera Hughes, Vegit Risana Ihsan Ikbal Yurrazak Ikbal Yurrazak Ikrimah Nur Azizah imamsugeng santoso Indah Astri Anggraeni Indah Suci Rahayu Indarto, Kurnia Sigma Indra Jadi Simanjuntak Indra Setiawan Indra Setiawan Indra Stiawan Isdaryanto Iskandar Isniah, Sarah Jaqin, Choesnul jatmiko kurniawan Juniawan, Singgih Kasih, Tota Pirdo Katri Iskandar Kiki Patricia Dewi Kurnia Sigma Indarto Kurniawan, Eka Adi Kurniawan, Mohammad Simar Kurniawan Lina Herlina Luhur Prayogo Lukito, Tito Lusi Ma'rifah Lusi Ma’rifah M Kholis Ardiansyah Manurung, Hasiholan marifah, lusi Markus Pamenta Maryani, Edna Mawardi Amin Mohammad Hamsal Mohammad Hamsal Monalisa Monalisa Monalisa Muhamad Gofur Mukti, Anggoro Daru Mutiara Nabilla Nabilla, Mutiara Naluri, Nike Nanda Fathur Rozak Nindiani, Aina Noer Wahjoedi Noer Wahjoedi, Noer Noor, Agus Bambang S Nurul Dzikrillah Nurul Dzikrillah Nurul Dzikrillah Paduloh Paduloh Pahala R Pangestu, Gian Fahmi Parid, Yaman Paulina, Else Pratama, Ardhani Agnas Pratama, Bagus Wahyu Nur Puput Setianah Putra, Fibi Eko Putra, Guntur Pratama Putri Elsari Rahmayana R Fauzy Fauzy R, Pahala R. Fauzy Rachmatullah Rachmatullah Rachmatullah Raditya Indra Kusuma Rangga Rahmadya Ratih Punia Dewi Ray William Rd Iman Pirmansyah Rendra Prasetyo Riki Efendi Rissa Nur Lestari Riza Septia Prawina Rizky Torang Siagian Rizlan, Wardah Rohman, Pandu Rorio Gomgom Paska Simarmata Rosdiana, Dina Rozak, Ahmad RR. Ella Evrita Hestiandari Saerang, Christwandy Roland Saiful Hendra Salmon Tampubolon Samuel Benny Dito Santa Margaretha Niken Restaty Santo Wibowo Santoso, Imam Sugeng Santoso, Suprapto Sarah Isniah Sawarni Hasibuan Setiawan, Indra Simarmata, Rorio Gomgom Paska Siswantoro, Fery Siti Aisyah Siti Aisyah Siti Aisyah Siti Aisyah Sony Irawan Steven Tampilang Subawanto, Heru Sudiyono Sudiyono Sudiyono Sudiyono Suhara, Cucu Suhendra Suhendra Suhendra Suhendra Sukma, Dias Irawati Sumawati, Utami Diyan Sunadi Sunadi Sunadi, Sunadi Suraya Mansur Suroto Suroto Suroto Suroto Sutikno Sutikno Syifaul Qulub, Irkham Taufik Agung Laksono Tosty Maylangi Sitorus Tosty Maylangi Sitorus, Tosty Maylangi Tota Pirdo Kasih Tri Aprianto Trimarjoko, Aris Tumanggor, Ojakma Sihar Panaili Uly Amrina Vardian Giovanni Very Fernando Wardah Rizlan Welly Atikno Welly atikno Welly Atikno Wijaya, Kahfi William, Ray Wirani, Ayu Puspa Yanuar Kurniawan Yudhaningsih, Kuntisari Yulianto Yulianto Yulizan Rizki Yunita, Ika Yurrazak, Ikbal Zulfa Fitri Ikatrinasari