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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Rekayasa Sistem Industri DeReMa (Development Research of Management) Jurnal Manajemen OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Syntax Literate: Jurnal Ilmiah Indonesia Seminar Nasional Teknologi Informasi Komunikasi dan Industri JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi) Jurnal Syntax Transformation Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Business and Entrepreneurial Review JURNAL TEKNIK INDUSTRI JURNAL ABDI MASYARAKAT INDONESIA (JAMIN)
Triwulandari Satitidjati Dewayana
Jurusan Teknik Industri, Universitas Trisakti
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Model Pengambilan Keputusan untuk Meningkatkan Kapasitas Produksi pada Proses Extruding Andakara Edo Wardhana; Triwulandari SD; Winnie Septiani
JURNAL TEKNIK INDUSTRI Vol. 12 No. 2 (2022): VOLUME 12 NO 2 JULI 2022
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (981.825 KB) | DOI: 10.25105/jti.v12i2.14715

Abstract

Abstrak— Peningkatan kapasitas produksi pada proses extruding merupakan hal yang penting karena proses extruding merupakan salah satu proses utama dalam pembuatan ban sepeda motor. Permasalahan yang teridentifikasi saat ini proses extruding menjadi bottle neck karena memiliki kapasitas terendah dibandingkan proses yang lain. Penelitian ini bertujuan merancang model pengambilan keputusan untuk meningkatkan kapasitas produksi pada proses extruding. Penelitian terdiri dari sub model perhitungan kapasitas extruding, sub model peramalan permintaan produksi ban dan sub model pengambilan keputusan. Perhitungan kapasitas produksi dilakukan dengan metode calculated capacity, peramalan menggunakan metode DMA dan regresi linear dan pengambilan keputusan menggunakan pohon keputusan dengan metode perhitungan expected monetary value. Hasil analisis sistem menunjukkan bahwa extruding memiliki kapasitas terendah dibanding proses yang lain, hal ini dikuatkan berdasarkan hasil sub model perhitungan kapasitas extruding yaitu 80.190 pcs/hari. Sub model peramalan permintaan menunjukkan trend permintaan yang cenderung meningkat dengan rata-rata permintaan per hari 98.376 pcs/hari. Alternatif pilihan peningkatan kapasitas yang diusulkan adalah pengaturan waktu kerja, penambahan tenaga kerja dan investasi mesin. Kriteria keputusan adalah jumlah produksi extruding, usulan peningkatan kapasitas yang terpilih berdasarkan model keputusan menggunakan pohon keputusan adalah melakukan penambahan tenaga kerja dari 4 orang/shift menjadi 6 orang/shift. Estimasi peningkatan kapasitas extruding menjadi 104.671 pcs/hari dari 86.000 pcs/hari. Hasil model keputusan metode pohon keputusan dari 3 alternatif usulan menunjukkan, alternatif peningkatan kapasitas proses extruding yang terbaik adalah penambahan tenaga kerja. Pemilihan alternatif peningkatan kapasitas menggunakan pohon keputusan terbukti dapat menjadi solusi perusahaan menentukan alternatif pilihan terbaik sesuai kriteria dan perhitungan resiko masa mendatang. Abstract— increasing production capacity in the extruding process is important because the extruding is one of the main processes in the manufacture of motorcycle tires. The problem identified is the extruding process becomes a bottle neck because it has the lowest capacity compared to other processes. This study aims to design a decision-making model to capacity up in the extruding. The research consists of a sub-model of calculating extrusion capacity, a sub-model of forecasting a production demand of tire and a sub-model of decision-making. The calculation of production capacity is using the calculated capacity method, forecasting using the DMA method and linear regression and decision making using a decision tree method with the expected monetary value calculation. The results of the system analysis show that extruding has the lowest capacity compared to other processes, this is corroborated by the results of the sub model for calculating the extruding capacity of 80,190 pcs/day. The demand forecasting sub model shows an increasing trend of demand with an average daily demand is 98,376 pcs/day. Alternative options for capacity up the proposed are working time arrangements, recruitment new man power and machine investment. The decision criteria is the amount of extruding production, the capacity up which is selected based on the decision model using a decision tree is to recruitment new man power from 4 people/shift to 6 people/shift. The estimated increase in extruding capacity is 104.671 pcs/day from 86.000 pcs/day. The results of the decision tree method of the 3 alternative proposals show that the best alternative to capacity up of the extruding process is the recruitment new man power. The selection of capacity up alternatives using decision trees is proven to be a solution for companies to determine the best alternative choices according to the criteria and future risk calculations.
PELATIHAN PENGAMBILAN KEPUTUSAN PADA INDUSTRI KOMPONEN OTOMOTIF DI JAKARTA UTARA Winnie Septiani; Pudji Astuti; Nora Azmi; Triwulandari SD; Dorina Hetharia; Iveline Anne Marie; Emelia Sari
Jurnal Abdi Masyarakat Indonesia (JAMIN) Vol 2 No 2 (2020): JURNAL ABDI MASYARAKAT INDONESIA (JAMIN)
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.49 KB) | DOI: 10.25105/jamin.v2i2.7497

Abstract

PT Asano Gear Indonesia (AGI) merupakan salah satu industri komponen otomotif di Indonesia yang berlokasi di Jakarta Utara. Dalam menjalankan usahanya tentunya perusahaan menghadapi beberapa persoalan keputusan, baik di level strategis, taktis maupun operasional.  Berdasarkan hasil diskusi dan survei awal, permasalahan keputusan  yang sedang dipertimbangkan oleh perusahaan diantaranya adalah  keputusan untuk  memindahkan lokasi pabrik dan keputusan untuk pembelian mesin produksi.  Pengambilan keputusan merupakan hal yang penting bagi kelangsungan sebuah perusahaan. Metode-metode pengambilan keputusan merupakan suatu pendekatan untuk dapat membuat keputusan lebih sistematis, dapat diukur dan dapat dipertanggungjawabkan. Pelatihan ini bertujuan untuk memberikan pemahaman mengenai konsep dasar pengambilan keputusan, faktor-faktor yang harus diperhatikan dan penggunaan beberapa metode dalam Pengambilan keputusan. Materi yang disampaikan mengenai pengambilan keputusan, terbagi menjadi dua bagian utama yaitu, konsep dasar pengambilan keputusan dan teknik-teknik yang dapat digunakan dalam pengambilan keputusan. Berdasarkan evaluasi kegiatan pelatihan, lebih dari 75% peserta menyatakan isi pelatihan ini menarik dan bermanfaat. Selain itu, peserta pelatihan juga menyatakan keinginannya untuk diberikan pelatihan lanjutan. Pelatihan ini diharapkan dapat memberikan manfaat bagi perusahaan maupun jurusan Teknik Industri terutama dalam pengembangan keilmuan analisis keputusan dan implementasinya di industri.
Pengaruh Supply Management , Lean Management dan Triple Bottom Line Practices Terhadap Sustainable Performance Di Industri Kebandarudaraan Robby Auliandi; Triwulandari SD
JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi). Vol 9 No 3 (2022): JMBI UNSRAT Volume 9 Nomor 3
Publisher : FEB Universitas Sam Ratulangi Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35794/jmbi.v9i3.43147

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh Supply Management, Lean Management dan Tripple Bottom Line terhadap Sustainable Performance pada industri kebandarudaraan. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif, dimana penelitian ini menggunakan survey dan kuesioner yang disebarkan pada karyawan PT Angkasa Pura 2 Group sebagai objek penelitiannya. Sampel penelitian dipilih menggunakan purposive sampling dengan perolehan responden sebanyak 267 responden. Penelitian ini menggunakan metode pengujian data menggunakan uji validitas dan realibilitas pada setiap variabel yang diteliti. Sedangkan metode analisis data yang digunakan dalam penelitian ini adalah Structural Equation Model (SEM) dengan software AMOS. Hasil penelitian menunjukan bahwa hubungan langsung antara variabel Supply Management tidak memiliki pengaruh positif signifikan terhadap Sustainability Performance. Variabel Lean Management tidak memiliki pengaruh positif signifikan terhadap Sustainability Performance. Sementara Enviromental Practice, Social Practise, dan Economic Practise memiliki pengaruh positif signifikan terhadap Sustainability Performance. Berdasarkan hasil penelitian ini disarankan untuk penelitian selanjutnya untuk dapat mengembangkan penelitian di industri yang berbeda dan dengan ruang lingkup yang lebih luas.
Faktor-Faktor Operasional Sebagai Anteseden dari Kinerja Keberlanjutan pada Perusahaan Manufaktur Dimas Aulia Kalimantoro; Wahyuningsih Santosa; Triwulandari SD
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 10, No 1 (2023): Maret
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v10i1.1075

Abstract

This study aims to analyze the effect of Total Quality Management, Total Productive Maintenance, Innovation Capability, Circular Economy, and Industry 4.0 on sustainability performance. Sustainability performance in this study is focused on implementing corporate sustainability in the economic, social, and environmental sectors. The data used in this research is primary data, which is data obtained directly from the field, which is the object of research. The research sample was selected using a purposive sampling method in order to obtain 10 companies engaged in the manufacturing industry located in DKI Jakarta with a total of 203 respondents. This study uses cross-sectional time, where data is collected only once for one month. The data analysis used in this study uses Structural Equation Modeling data processing, which is used to examine and justify a hypothesis that has been tested in previous studies. The results of the study show that total quality management, innovation capability, and industry 4.0 have a positive and significant effect on sustainability performance. Meanwhile, for the circular economy, it has a negative and significant effect on sustainability performance, while for total productive maintenance, it has no effect on sustainability performance in manufacturing industry companies in DKI Jakarta.
Examining The Impact Of Strategic Supplier Partnerships, Customer Relationship, Postponement, And Supply Chain Responsiveness On Operational Performance: The Moderating Effect Of Demand Uncertainty kevin Letsoin; Wahyuningsih Santosa; Triwulandari SD
Business and Entrepreneurial Review Vol. 23 No. 1 (2023): April
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/ber.v23i1.16229

Abstract

Uncertainty in demand is a common problem that always occurs in various businesses, this is inseparable from market trends that continue to change so that the wants and needs of consumers also change. The role of companies in overcoming demand uncertainties and maintaining firm performance is an issue that is debated among scholars. Therefore, this study investigates the moderating effect of demand uncertainty on the relationship between strategic supplier partnerships-supply chain responsiveness, customer relations-supply chain responsiveness, and postponement -supply chain responsiveness and operational performance in the 7 largest food and beverage companies in the Indonesia, which is in Jakarta. in Jakarta because the researchers come from the Jakarta and know enough about the condition of the development of food and beverage companies in the area which is the research objective. Seven hypotheses were formulated and tested using correlation and regression statistical techniques on data collected from 150 respondents through a questionnaire survey and purposive sampling technique. The findings, strategic supplier partnerships, and customer relationships positively and significantly affect supply chain responsiveness, while delays negatively and significantly affect supply chain responsiveness, and supply chain responsiveness also has a positive and significant impact on operational performance. In addition, demand uncertainty positively moderates the relationship between strategic supplier partnerships and supply chain responsiveness, and positively moderates the relationship between customer relationships and supply chain responsiveness. However, demand uncertainty negatively and significantly moderates the relationship between postponement and supply chain responsiveness. Based on these findings, managers are expected to be able to reduce the effect of demand uncertainty so that operational performance can be improved.
Impact of Collaborative Choice Making and Quality Administration On Coordinations Execution On Holder Shipping With PLS – SEM Strategy Adaptation 3.00 Muhammad Ikhsan Harsono; Devita Nur Ekasari; Triwulandari SD; Wahyuningsih Santosa
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (265.746 KB) | DOI: 10.36418/syntax-literate.v7i6.7548

Abstract

Globalization encourages companies to outsource coordination exercises to third parties. Given the energetic advertising, organizational data prepares the hypothesis that ownership of data prepared capabilities can offer help organizations adapt to natural vulnerabilities. PT Pelayaran Nasional Company is locked in the administration of shipping transportation. The problem is to build collaborative options to make the marine chain show and pay attention to quality and observations on the implementation of the administration of the holder's administration. The purpose of this study is to apply the organization data compilation hypothesis (OIPT) to make collaborative decisions on marine supply chain shows and see their effect on the benefits of coordination. To determine the effect of administrative quality of coordination on the implementation of the benefits of coordination for administrative use. The method of collecting information in this consideration is using a questionnaire. Surveys can be an information gathering strategy carried out by giving a series of questions to respondents. It considers jobs using a computer delivery overview job with Google forms. Results of collaborative decision making from the OIPT point of view. It also illustrates an important part of data integration to encourage shared decision making, which in turn enhances the implementation of coordination benefits. This reflection essentially looks at the issue of collaborative choice making and quality administration from the point of view of the holding shipping company
Factor Analysis of Increasing Customer Loyalty in The Automotive Industry Annisa Tri Wahyuni; Triwulandari SD; Rina Fitriana
Jurnal Syntax Transformation Vol 4 No 11 (2023): Jurnal Syntax Transformation
Publisher : CV. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jst.v4i11.846

Abstract

This study aims to analyze the factors that influence loyalty in the automotive industry. The population of this study are car owners who live in Jabotabek . Using two types of questionnaires, namely the screening questionnaire and the main questionnaire consisting of 27 indicators. Probability sampling was used in determining the sample so that 135 samples were obtained which were dominated by Toyota and Honda brand users with the MVP segment. Factor analysis was carried out using the SEM (structural equation model) method with Smart PLS software and tested the validity, Cronbach's Alpha reliability test and goodness of fit to test the structural model. The results showed that among the 3 variables, namely brand image, product and staff, only brand image proved to have a positive and significant effect on loyalty (50.1%), while the product and staff variables had no significant effect. With the results of this study, it is hoped that ATPM can maintain the loyalty of their customers by continuing to improve their brand image by paying attention to 7 indicators, namely reliable, advanced, challenging, creative, sophisticated, luxury and sustainable.
Peningkatan Kualitas Pelayanan Bank BJB KCP Fatmawati Menggunakan Metode Service Quality, Six Sigma dan Quality Function Deployment Annisa Tri Wahyuni; Triwulandari SD; Rina Fitriana
JURNAL TEKNIK INDUSTRI Vol. 13 No. 3 (2023): VOLUME 13 NO 3 NOVEMBER 2023
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v13i3.19142

Abstract

Abstrak— Bank bjb KCP Fatmawati adalah kantor cabang pembantu salah satu bank komersial di Indonesia yaitu Bank bjb. Berdasarkan hasil evaluasi kinerja (BSEM) yang dilakukan oleh MRI pada Desember 2020 hingga Februari 2021, Bank bjb mengalami penurunan pada layanan yang diberikan oleh teller sebesar 6,95 poin, salah satu defect layanannya adalah kegiatan setor dan tarik lebih dari SLA (service level agreement). Tujuan penelitian ini untuk peningkatan kualitas pelayanan Bank bjb KCP Fatmawati menggunakan metode Service Quality, Six Sigma dengan tahapan DMAIC (Define, Measure, Analyze, Improve, dan Control), dan Quality Function Deployment (QFD). Tahap define mencakup perhitungan service quality dengan rata-rata nilai gap sebesar -0,121. Tahap measure dengan menggunakan hasil kuesioner kepuasan, didapatkan nilai DPMO 192.000 dengan level sigma 2,371. Pada tahap analyze menggunakan Importance Performance Analysis (IPA) dan QFD dengan bantuan House of Quality (HoQ). Hasil yang didapatkan pada tahap analyze menunjukkan bahwa atribut R2 menjadi prioritas utama untuk peningkatan kualitas dengan technical descriptor terpilih adalah memberikan pelatihan dan pemberdayaan kepada karyawan secara kontinu. Tahap improvement menggunakan Analytical Hierarchy Process (AHP) untuk membantu mengambil keputusan alternatif terpilih terhadap metode pelatihan karyawan. Metode pelatihan terpilih yang digunakan untuk peningkatan kualitas pelayanan adalah metode studi kasus. Hasil usulan rekomendasi menunjukkan peningkatan kualitas pelayanan dengan nilai DPMO yang menurun menjadi 129.000 dengan level sigma 2,631. Abstract— Bank bjb KCP Fatmawati is a sub-branch office of one of the commercial banks in Indonesia, namely Bank bjb. Based on the results of the performance evaluation (BSEM) conducted by MRI from December 2020 to February 2021, Bank bjb experienced a decrease in the services provided by tellers by 6.95 points, one of the service defects was deposit and withdraw activities over SLA (service level agreement). The purpose of this study is to improve the service quality of Bank bjb KCP Fatmawati using the Service Quality, Six Sigma method with DMAIC stages (Define, Measure, Analyze, Improve, and Control), and Quality Function Deployment (QFD). The defining stage includes the calculation of service quality with an average gap value of -0.121. The measurement stage using the satisfaction questionnaire results obtained a DPMO value of 192,000 with a sigma level of 2.371. At the analysis stage using Importance Performance Analysis (IPA) and QFD with the help of the House of Quality (HoQ). The results obtained at the analysis stage show that the R2 attribute becomes the main priority to improve quality with the selected technical descriptor is to provide continuous training and empowerment to employees. The improvement phase uses the Analytical Hierarchy Process (AHP) to help decide the chosen alternative to the employee training method. The selected method used to improve service quality is the case study method. The recommendation results show an increase in service quality, with the DPMO value decreasing to 129,000 with a sigma level of 2.631.
Integration of balanced scorecard and analytical hierarchy process to measure the performance of supporting unit in aircraft maintenance service companies Utami, Nur Aulia; Dewayana, Triwulandari; Septiani, Winnie
Operations Excellence: Journal of Applied Industrial Engineering Vol. 16, No. 1, (2024): OE March 2024
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2024.v16.i1.0103

Abstract

Dynamic and challenging business environment in the aircraft maintenance services industry require company to survive and ensure business continuity. To realize effective performance, performance measurement is needed as a management system for managing and controlling performance. The purpose of this research is to measure the performance of supporting unit at PT. XYZ by using balanced scorecard framework that is integrated with AHP. The steps in this research includes identification strategy objective, identification key performance indicator (KPI), design and measure performance using integrated balanced scorecard  and AHP. The method used in this study combines quantitative data with the Analytical Hierarchy Process (AHP) approach. The AHP method is used for KPI weighting. The design of KPI weights for each perspective in balanced scorecard are 42,3 % for the learning and growth, 33,5% for internal business process, 17,3% for financial, and 6,8% for the customer perspective.  The results of supporting unit performance show the lowest score in the learning and growth perspective with average performance indicator, while in internal business process, financial and customer perspective have good performance indicator. The result of measuring total performance of four perspective are 74,5% which indicates that the performance of PT.XYZ’s BSC is in the good enough category.
Co-Authors Andakara Edo Wardhana Annisa Tri Wahyuni Annisa Tri Wahyuni Beny Cuknolan Mahulae Dadan Umar D Devita Nur Ekasari Dimas Aulia Kalimantoro Dorina Hetharia Emelia Sari Habyba, Anik Nur Indra Yusuf R Iveline Anne Marie kevin Letsoin Michael Setiawan Muhammad Ikhsan Harsono Nora Azmi Nora Azmi Novia Rahmawati Oktabrianto Prasyudi PUDJI ASTUTI Pudji Astuti Rina Fitriana Rina Fitriana Riviana Riviana Robby Auliandi Santosa, Wahyuningsih Sapta Raharja Stevan Jefta Seciawang Sukardi Sukardi Syamsul M. Tiena Gustina Amran Utami, Nur Aulia Wahyu S. Dani Wahyuningsih Wahyuningsih Winnie Septiani