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All Journal Jurnal Ilmiah Teknik Industri PROSIDING SEMINAR NASIONAL CENDEKIAWAN Abdimas Universal Jurnal Bakti Masyarakat Indonesia JURNAL TEKNIK INDUSTRI

Iveline Anne Marie

Trisakti University

Author-ID : 290437

Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Perbandingan Performansi Teknik Klasifikasi Breakdown Mesin pada Proses Produksi Pembuatan Battery Mobil Iveline Anne Marie; Lukmanul Hakim; Dedy Sugiarto; Winnie Septiani
Jurnal Ilmiah Teknik Industri Vol. 18, No. 1, Juni 2019
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v18i1.7232

Data mining is useful in finding interesting patterns of hidden information in a database with specified algorithms. Management of uncertainty in the automotive industry supply chain, with case data at PT QQQ that produce car batteries, classification techniques are used to manage uncertainty in the case of engine breakdown. Based on the utilization of classification techniques, performance comparison analysis was carried out from several methods, namely Decision Tree, Bagging, Boosting and Random Forest. The research data is divided into testing data (75%) and training data (25%). This study uses Software R for analysis needs. The need for testing the goodness of the model uses package (caret) help to see the value of accuracy, sensitivity and specificity. The analysis shows that the Random Forest and Bagging method is superior compared to the Decision Tree and Boosting methods based on accuracy criteria, while the sensitivity criteria, Bagging and Boosting methods are superior to Random Forest and DecisionTree. The lowest sensitivity value is owned by the Decision Tree Method, which indicates that the ability of the method is weak in predicting very few classes.

PERANCANGAN SISTEM PENGADAAN KOMPONEN PERAKITAN BERDASARKAN MATERIAL REQUIREMENT PLANNING DAN PENJADWALAN PRODUKSI DENGAN METODE ALGORITMA GENETIKA PADA PT. XYZ Ferian Rizkyka Triswara; Iveline Anne Marie; Sucipto Adisuwiryo
PROSIDING SEMINAR NASIONAL CENDEKIAWAN PROSIDING SEMINAR NASIONAL CENDEKIAWAN 2019 BUKU I
Publisher : Lembaga Penelitian Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/semnas.v0i0.5691

PT. XYZ merupakan perusahaan swasta yang bergerak dalam bidang manufaktur produksi material fitting accessories untuk pemasangan sambungan material listrik tegangan rumah, menengah, dan tinggi. Masalah yang terjadi pada perusahaan yaitu berhentinya proses produksi saat melakukan perakitan akibat pengadaan komponen dan penjadwalan produksi yang tidak tepat. Oleh karena itu, dilakukan perancangan sistem bahan baku dengan Material Requirement Planning (MRP) serta merancang penjadwalan produksi menggunakan algoritma genetika. Berdasarkan input MRP akan dilakukan tahapan MRP yang meliputi netting, lotting, time offsetting, dan exploding. Hasil perhitungan MRP berupa planned order release yang dijadikan input dalam penjadwalan produksi flowshop dengan menggunakan metode meta heuristik yaitu genetic algorithm yang meliputi tahapan pembentuan kromosom, penentuan parameter, inisialisasi populasi, performansi kinerja kromosom, seleksi kromosom, crossover, mutasi, dan generasi. Hasil rancangan MRP menghasilkan 3 level untuk 29 tabel MRP. Hasil penjadwalan produksi menggunakan genetic algorithm menghasilkan completion time sebesar 2664 menit dengan urutan J3-J5-J6-J4-J7-J1-J2 atau mengalami penurunan sebesar 536 menit (25.1%) dibandingkan penjadwalan perusahaan.

AUTONOMOUS MAINTENANCE PADA PLANT II PT. INGRESS MALINDO VENTURES Erna Regina Supriatna; Iveline Anne Marie; Amal Witonohadi
JURNAL TEKNIK INDUSTRI Vol. 5 No. 3 (2015): Volume 5 No 3 Novemberi 2015
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Persaingan diantara perusahaan manufaktur penghasil spare part otomotif semakinmeningkat. Produktifitas dalam pemanfaatan mesin menjadi salah satu target untuk mendukungterpenuhinya kebutuhan dan kepuasan konsumen. Pendekatan TPM mendorong perusahaan untukmenjadikan kegiatan perawatan menjadi salah satu fokus sebagai bagian yang penting dan vital darisebuah bisnis atau operasi manufaktur. Perawatan tidak lagi dipandang sebagai aktivitas yang nonprofit.Waktu untuk perawatan telah dimasukkan kedalam jadwal produksi sebagai bagian darijadwal produksi, dan bahkan dalam beberapa kasus, perawatan menjadi bagian integral dari sebuahproses manufaktur. Salah satu pilar dalam tahapan TPM adalah mengembangkan programAutonomous Maintenance (AM).PT. Ingress Malindo Ventures atau PT. IMV merupakan perusahaan manufaktur yangmemproduksi komponen otomotif berupa weather strip outer/inner moulding dan door sash yangdibutuhkan untuk kebutuhan lokal dalam negeri. Untuk kelancaran produksi, perusahaan sangatbergantung kepada ketersediaan mesin karena apabila mesin mengalami kerusakan maka kegiatanproduksi akan terhenti sehingga dapat mengakibatkan penambahan waktu penyelesaian sertaberakibat tidak tercapainya target produksi. Penelitian ini bertujuan untuk mendapatkan usulanrancangan autonomous maintenance untuk meningkatkan performansi perawatan mesin pada PT.Ingress Malindo Ventures.Berdasarkan hasil pengumpulan data perawatan mesin roll forming, dilakukan pengolahandata, analisis dan perancangan sesuai dengan tahapan autonomous maintenance. Usulanautonomous maintenance menghasilkan contoh board step untuk pengevaluasian setiap step sertaprosedur untuk mengembangkan pendidikan dan pelatihan inspeksi, SOP, check sheet dan one pointlesson pada mesin dan komponen yang memiliki nilai downtime diatas rata-rata. Berdasarkanimplementasi, diketahui bahwa nilai OEE pada mesin roll forming diproyeksikan meningkat menjadi79,316%.

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

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.

LEAN SUPPLY CHAIN UNTUK MENINGKATKAN EFISIENSI SISTEM MANUFAKTUR PADA PT. XYZ Iveline Anne Marie; Dedy Sugiarto; Dara Mustika
JURNAL TEKNIK INDUSTRI Vol. 7 No. 2 (2017): Volume 7 Nomor 2 Juli 2017
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

There were wastes in the supply chain flow of PT. XYZ which leads to long lead time in the delivery of customer orders. The result is that the company's planned delivery targets are not fulfilled. The objective of this research is to identify waste and cause of waste and to propose improvement to eliminate waste in PT XYZ supply chain so as to reduce lead time and achieve delivery target as an effort to improve company performance with Lean Supply Chain approach. In this research we use VALSAT to minimize waste and non value added activities in supply chain flow. Based on Value Stream Mapping and analysis of waste we proposed improvements that is application of acceptance sampling method on raw material inspection, application of p control chart on assembling process and store warehouse, 2 days battery storage time limit with kanban card proposed and also change of process sequence of lead part casting. Based on the projection, we got the decrease of manufacturing lead time and the increase of process cycle efficiency from 51.47% to 73.69%.

Perancangan Sistem Informasi Perencanaan dan Pengendalian Persediaan Bahan Baku di PT. X Pudji Astuti; Mohammad Ali Wafa; Iveline Anne Marie
JURNAL TEKNIK INDUSTRI Vol. 8 No. 3 (2018): Volume 8 No 3 November 2018
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

PT. X is a company engaged in the production of paper pallet packaging for exports. In the production process, PT. X implements Make-To-Order production strategies which would begin to manufacture if the company has received orders from customers. Recently the problems facing by company are the uncertainty lead-time delivery and uncertainty of demand from customer. Both of these issues resulted the ordering of raw materials were unplanned and further caused in delayed delivery of finished products to customers. Furthermore the use of conventional display board currently leads to human error either recording the customer orders or calculating the availability of raw materials.The objective of this research, to solve the problem, proposed decision support system or DSS which will helps the company to schedule procurement of raw material and helps to control raw material availability. Stage of designing the DSS is using the waterfall system development so that the process is done by sequentially developed for each phase of development.The system development process is starting from the system initiation, analysis, design system and implementation. To analyze process, used object-oriented approach which point in the making of models to help analyze and understanding the problem. Results from the study showed that the problems faced by company solved by implementing the safety stock and the procurement scheduling which integrates with early warning sub model, Material Requirement Planning (MRP) sub model and inventory sub model, into a web-based decision support system that can be accessed anywhere, anytime and accurately by authorized user. Safety stocks are used as a backup supply which will be used when the uncertainties of demand occurred. MRP sub model schedules the procurement and calculate raw material requirements based on Bill of Material. Inventory sub model with early warnings system will provide a reminder to the user if the amounts of raw materials available have reached a certain condition so that users can perform further actions to maintain the availability of raw materials.

Proyeksi Permintaan Dan Penentuan Ukuran Batch Optimum Produk Pada Agroindustri (Studi Kasus di Industri Jamu) Iveline Anne Marie
JURNAL TEKNIK INDUSTRI Vol. 1 No. 1 (2011): Volume 1 No 1 Maret 2011
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

The era of globalization requires the industry to create competitive advantage. One of the factors that affect competitive advantage, which tend to be controlled is the internal factors of the company / industry, the factors concerning the performance of inputs (resources used to produce the output), the performance of the process and the performance of output (products / outputs of the process). In order for a company / industry excels in the competition, it takes a model of demand forecasting and aggregate production planning model to help companies / industry in planning its production activities. For the purpose of this study was to determine the projected demand for products and to know the optimum batch size for each item of products in order to meet the needs of the operational planning of production.With the acquisition of the projected demand for products and optimum batch sizes for each product item, the next company can perform various calculations for the needs of enterprise production planning so as to improve the performance of the process input or output of production, and excel in the competitive industry.

PENENTUAN JUMLAH PRODUKSI MENGGUNAKAN MODEL FUZZY MULTI OBJECTIVE LINEAR PROGRAMMING PADA INDUSTRI PANGAN (Studi Kasus Pada Industri Roti PT NIC) Iveline Anne Marie; Eriyatno Eriyatno; Yandra Arkeman; Dadan Umar Daihani
JURNAL TEKNIK INDUSTRI Vol. 2 No. 1 (2012): Volume 2 No 1 Maret 2012
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Production Planning and Inventory Control (PPIC) activities in the food industry requires a reliable decision model to support the effectiveness and efficiency of PPIC function. Master Production Scheduling / MPS is one of the PPIC decision model that aims to get the number of items that must be produced by the company to meet consumer demand based on its production capacity. This research had been done in the food industry with a case study on PT NIC bread industry, using Fuzzy Multi Objective Linear Programming Model as a decision model to determine the amount of production.This model is an optimization model that was developed by utilizing the modified S-curve membership function for Fuzzy Linear Programming problems with the aim of minimizing costs and maximizing production utilization. This model is reliable enough to improve the functioning of PPIC in the food industry.

Perancangan Model Lean Manufacturing untuk Meningkatkan Key Performance Indicators Quality Assurance pada Perusahaan Penghasil Produk Kemasan Plastik Rosi Theresia; Iveline Anne Marie; Nora Azm
JURNAL TEKNIK INDUSTRI Vol. 10 No. 1 (2020): VOLUME 10 NO 1 MARET 2020
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Intisari— Menghadapi persaingan industri yang semakin ketat, perusahaan penghasil produk kemasan plastik berusaha meningkatkan daya saingnya dengan meningkatkan performansinya. Performansi perusahaan penghasil produk kemasan plastik dalam hal peningkatan value ke customer dapat diukur melalui key performance indicators bagian quality assurance. Pencapaian key performance indicators quality assurance perlu dibuat sebuah model yang tepat untuk meningkatkan key performance indicators quality assurance melalui pendekatan lean manufacturing Penelitian ini bertujuan untuk merancang model lean manufacturing untuk meningkatkan key performance indicators quality assurance. Tahapan awal dimulai dari studi literatur lean manufacturing tools dan survei ke berbagai perusahaan kemasan plastik sehingga diperoleh data yang dibutuhkan dalam rancangan model. Rancangan model harus dilakukan validasi pada perusahaan penghasil produk kemasan plastik. Setiap model memberikan manfaat dan dapat digunakan untuk memecahkan masalah mengenai tidak tercapainya key performance indicators quality assurance. Hasil rancangan model terdiri dari sub model 1 (current key performance indicators quality assurance), sub model 2 (current defect customer complaint), sub model 3 (lean manufacturing tools ) dan sub model 4 (future total complaint, future reject retur, future repeat issue, future resolution time dan future key performance indicators quality assurance). Diharapkan rancangan model lean manufacturing dapat menjadi solusi bagi perusahaan penghasil produk kemasan plastik untuk meningkatkan key performance indicators quality assurance.Abstract— Facing increasingly fierce industry competition, companies that produce plastic packaging products try to improve their competitiveness by increasing their performance. The performance of companies producing plastic packaging products in terms of increasing value to customers can be measured through the key performance indicators of the quality assurance section. Achievement of key performance indicators of quality assurance needs to be made an appropriate model to improve key performance indicators of quality assurance through a lean manufacturing approach. This study aims to design a lean manufacturing model to achieve key performance indicators of quality assurance. The initial stage starts from the study of lean manufacturing tools literature and surveys to various plastic packaging companies in order to obtain the data needed in the design of the model. The design of the model must be validated at the companies producing plastic packaging products. Each model provides benefits and can be used to solve problems regarding not achieving key performance indicators of quality assurance. The results of the model design consist of sub model 1 (current key performance indicators quality assurance), sub model 2 (current defect customer complaints), sub model 3 (lean manufacturing tools) and sub model 4 (future total complaints, future reject returns, future repeat issue, future resolution time and future key performance indicators quality assurance). It is hoped that the design of lean manufacturing models can be a solution for companies producing plastic packaging products to achieve key performance indicators of quality assurance.

Optimasi Persediaan Bahan Baku Berdasarkan Pengali Lagrange serta Rancangan Tata Letak Gudang Menggunakan Metode Shared Storage Iveline Anne Marie; Cindy Claudia; Adianto Adianto
JURNAL TEKNIK INDUSTRI Vol. 10 No. 2 (2020): Volume 10 No 2 Juli 2020
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Intisari— CV ABC merupakan perusahaan yang memproduksi lapisan dalam sepatu. Bahan baku utamanya adalah kain polyester dengan ketebalan beragam (0,5; 0,6; 0,7; 0,8; 1,2; 1,3; 1,5) mm. CV ABC tidak menggunakan metode tertentu dalam pemesanan bahan baku, sehingga mengakibatkan kadang kelebihan serta kadang kekurangan persediaan bahan baku. Pemesanan bahan baku yang dilakukan oleh perusahaan juga tidak teratur sehingga menyebabkan terjadinya penumpukan bahan baku di gudang. Penumpukan di gudang mengakibatkan penempatan bahan baku menjadi tidak teratur dan jumlah stok sulit dihitung. Tujuan penelitian ini untuk menentukan jumlah persediaan yang sesuai dengan kapasitas gudang bahan baku berdasarkan Pengali Langrange serta memperbaiki rancangan tata letak gudang menggunakan metode Shared Storage. Mula-mula dilakukan perkiraan permintaan dengan pendekatan simulasi Monte Carlo. Tahap berikutnya adalah perhitungan lot pemesanan yang ekonomis dengan EOQ, optimasi kuantitas pemesanan dengan model persediaan pengali Lagrange. Hasil perhitungan akan menjadi dasar dalam pengaturan tata letak dengan menggunakan metode shared storage. Berdasarkan hasil optimasi dengan Pengali Lagrange, biaya persediaan dapat diturunkan hingga 34,13%. Selain itu, berdasarkan pengaturan ulang tata letak gudang, kapasitas gudang meningkat hingga 19,4%.Abstract— CV ABC is a company that manufactures layers in shoes. The main raw material is polyester fabric with varying thicknesses (0.5; 0.6; 0.7; 0.8; 1.2; 1.3; 1.5) mm. CV ABC does not use certain methods in ordering raw materials, resulting in sometimes excess and sometimes lack of raw material inventory. The ordering of raw materials made by the company is also irregular, causing a buildup of raw materials in the warehouse. Stacking in warehouses results in irregular placement of raw materials and difficult to calculate the amount of stock. The purpose of this study was to determine the amount of inventory in accordance with the capacity of the warehouse of raw materials based on the Langrange Multiplier and improve the layout design of the warehouse using the Shared Storage method. First the demand estimation is carried out using a Monte Carlo simulation approach. The next step is the calculation of economical order lots with EOQ, optimization of order quantities with the Lagrange multiplier inventory model. The calculation results will be the basis in setting the layout using the shared storage method. Based on the results of optimization with the Lagrange Multiplier, inventory costs can be reduced by 34.13%. In addition, based on the rearrangement of the warehouse layout, warehouse capacity has increased to 19.4%.

Co-Authors Adi Sucipto, Adi Adianto Adianto Ahmad Farhan Amal Witonohadi Annisa Widya Putri Annisa Widya Putri Auliya Dewi Oktriana Cindy Claudia Dadan Umar Daihani Dara Mustika Dedy Sugiarto Dorina Hetharia Emelia Sari Eriyatno . Erna Regina Supriatna Ferian Rizkyka Triswara Habyba, Anik Nur Henry Candra Idriwal Mayusda Indah Permata Sari Intan Emeralda Lukmanul Hakim Mohammad Ali Wafa Monika Tangel Muhammad Aditya Putra Muhammad Aditya Putra Muhammad Daffa Alrifqi Nilla Nilla Nora Azm Nora Azmi Nue Jihan Widayanti Parwadi Moengin PUDJI ASTUTI Rahmi Khairunisa Rina Fitriana Rosi Theresia Silvi Ariyanti Suhartati Agoes Susan Sulaiman Susan Sulaiman Teofilus Nathanael Chaiyadi Teofilus Nathanael Chaiyadi Triwulandari Satitidjati Dewayana Winnie Septiani Yandra Arkeman Yayang Ade Suprana

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