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All Journal TEKMAPRO Journal of Industrial Engineering and Management Jurnal Ilmiah Teknik Industri OPERATION EXCELLENCE: Journal of Applied Industrial Engineering PROSIDING SEMINAR NASIONAL CENDEKIAWAN Journal of Economic, Bussines and Accounting (COSTING) Jurnal ULTIMATICS Krea-TIF: Jurnal Teknik Informatika Jurnal Ilmiah Teknik Industri Abdimas Universal Jurnal Bakti Masyarakat Indonesia JUARA: JURNAL WAHANA ABDIMAS SEJAHTERA Jurnal AKAL: Abdimas dan Kearifan Lokal JURNAL TEKNIK INDUSTRI JURNAL ABDI MASYARAKAT INDONESIA (JAMIN) Logistic and Operation Management Research Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Jurnal Pengabdian Masyarakat IIJSE (Journal of Environmental Sustainability Management)
Iveline Anne Marie
Universitas Trisakti
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture 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 Library & Information Science Public Health Social Sciences Transportation Other

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Peramalan Permintaan Menggunakan Jaringan Syaraf Tiruan dan Perencanaan Produksi Menggunakan Linear Programming pada Perusahaan Aluminium Khairunisa, Rahmi; Marie, Iveline Anne; Moengin, Parwadi; Widayanti, Nue Jihan; Nilla, Nilla
JURNAL TEKNIK INDUSTRI Vol. 11 No. 3 (2021): VOLUME 11 NO 3 NOVEMBER 2021
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v11i3.13060

Abstract

Intisari— PT ABC menghasilkan berbagai macam produk aluminium ingot sekunder yang kemudian didistribusikan pada produsen otomotif roda dua dan roda empat di Indonesia dengan standar kualitas yang tinggi. Bahan baku utama pada produksi aluminium ingot sekunder adalah basemetal, scrap yang diperoleh dari pengepul barang rongsok serta bahan addictive seperti silikon dan tembaga. Saat ini perusahaan kurang optimal dalam menerapkan perencanaan produksi yang menyebabkan tidak maksimumnya pemanfaatan fasilitas produksi serta pemanfaatan penggunaan energi bahan bakar gas yang menyebabkan tingginya biaya produksi. Tujuan dari penelitian ini adalah untuk mendapatkan hasil peramalan permintaan dan perencanaan produksi yang dapat menurunkan biaya produksi. Pada penelitian dilakukan perancangan model peramalan permintaan menggunakan metode Jaringan Syaraf Tiruan untuk mendapatkan proyeksi permintaan selama 3 periode mendatang. Selanjutnya dilakukan perencanaan produksi dengan menggunakan pendekatan Linier Programming yang telah mempertimbangkan ketersediaan sumber daya produksi sehingga dapat meningkatkan utilisasi fasilitas produksi dengan biaya produksi yang minimum. Berdasarkan rencana produksi dapat dilakukan perhitungan kebutuhan persediaan bahan baku pembentuk produk. Hasil peramalan dengan menggunakan metode Jaringan Syaraf Tiruan memberikan hasil peramalan permintaan dengan nilai error yang kecil. Hasil proyeksi permintaan untuk periode 1 adalah sebanyak 804.645 kg, periode 2 sebanyak 529.307 kg, dan periode 3 sebanyak 788.669 kg. Berikutnya, dengan menggunakan output hasil peramalan permintaan menggunakan JST, dilakukan perencanaan produksi yang memberikan solusi jumlah produksi yang optimal, yaitu untuk produk AC2C, ADC12 dan HD2 yang menghasilkan biaya produksi minimum. Berdasarkan hasil perhitungan perencanaan produksi dapat ditentukan kebutuhan bahan baku basemetal, skrap dan addictive untuk mendukung operasional produksi pada perusahaan aluminium. Abstract— PT ABC produces a wide range of secondary aluminum ingot products which are then distributed to two-wheel and four-wheel automotive manufacturers in Indonesia with high quality standards. The main raw materials for the production of secondary aluminum ingots are base metal, scrap obtained from junk collectors and addictive materials such as silicon and copper. Currently the company is less than optimal in implementing production planning which causes the utilization of production facilities not to be maximized and the use of gas fuel energy which causes high production costs. The purpose of this research is to obtain the results of demand forecasting and production planning that can reduce production costs. In this research, the demand forecasting model is designed using the Artificial Neural Network method to obtain demand projections for the next 3 periods. Furthermore, production planning is carried out using a Linear Programming approach which has taken into account the availability of production resources so as to increase the utilization of production facilities with minimum production costs. Based on the production plan, it is possible to calculate the inventory requirements for raw materials forming the product. Forecasting results using the Artificial Neural Network method provide demand forecasting results with a small error value. The results of requests for period 1 were 804,645 kg, period 2 were 529,307 kg, and period 3 were 788,669 kg. Next, by using the output of demand forecasting using ANN, a production plan is carried out that provides the optimal production quantity solution, namely for AC2C, ADC12 and HD2 products that produce minimum production costs. Based on the calculation results of production planning, it can be determined the need for base metal, scrap and addictive raw materials to support production operations in aluminum companies.
Systematic Review of Sustainable Competitive Advantage Factors of SMEs in The Creative Industry Dewayana, Triwulandari Satitidjati; Gunawan, Akbar; Suryadi, Kadarsah; Marie, Iveline Anne
Logistic and Operation Management Research (LOMR) Vol. 4 No. 1 (2025): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v4i1.3331

Abstract

A sustainable competitive advantage refers to a combination of characteristics and capabilities that allow a business to fulfill customer needs more effectively than its competitors. It encompasses elements that enable a company to produce goods or services of superior quality or at a lower cost than others. These advantages help businesses achieve higher sales or profit margins in the market. This literature review aims to examine and identify various factors contributing to the development of sustainable competitive advantage in the creative industry, a topic that has gained significant importance and widespread attention. This research employs a systematic literature review (SLR) approach to investigate these factors in the context of creative industries. Using the SLR approach and the PRISMA framework, this research identified, evaluated, and synthesized 27 relevant articles from the Scopus and IEEE Xplore databases, published between 2014 and 2024. These articles contain results about the factors and problems that can influence sustainable competitive advantage in creative industries with relevant fields, such as social, economic, and technical. A total of 19 factors were found that influence sustainable competitive advantage.  All these factors are important, but production quality, environmental friendliness, finance, innovation, consumer behavior, and human resources are the most prominent. This meta-analysis provides valuable insights and serves as a foundation for advancing efforts to promote the implementation of competitive advantage practices.
Pemanfaatan Artificial Neural Network dan Fuzzy Inventory Model untuk Penentuan Persediaan Pengaman Lussa, Mila Oktaviyani; Marie, Iveline Anne
Krea-TIF: Jurnal Teknik Informatika Vol 7 No 2 (2019)
Publisher : Fakultas Teknik dan Sains, Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2488.002 KB) | DOI: 10.32832/kreatif.v7i2.2235

Abstract

PT XYZ merupakan perusahaan yang memproduksi kemasan dalam bentuk kaleng dan tutup botol dengan produk crown caps guiness yang memiliki permintaan tertinggi. Penentuan persediaan pengaman (safety stock) produk jadi yang dilakukan perusahaan saat ini kurang tepat sehingga menyebabkan tingginya biaya simpan produk jadi. Penelitian ini bertujuan untuk memberikan usulan metode peramalan permintaan produk jadi menggunakan metode Artificial Neural Network (ANN) Backpropagation serta penentuan persediaan pengaman produk jadi menggunakan model Fuzzy Inventory. Peramalan permintaan menggunakan ANN Backpropagation diawali dengan tahap normalisasi data permintaan dilanjutkan dengan pelatihan untuk menentukan arsitektur jaringan terbaik. Berikutnya penentuan persediaan pengaman produk jadi dengan menggunakan model fuzzy inventory, dilakukan dengan menentukan input, output, fungsi keanggotaan, dan parameter untuk mendapatkan persediaan pengaman produk jadi. Berdasarkan hasil perhitungan penentuan persediaan produk jadi dilakukan perhitungan biaya simpan produk jadi. Usulan perbaikan memberikan penghematan biaya produk jadi sebesar 72% yaitu senilai Rp. 4,743,471 dibandingkan kondisi saat ini
Co-Authors A.A. Ketut Agung Cahyawan W Adi Sucipto, Adi Adianto Adianto Adianto Adianto Ahmad Farhan Ahmad Farhan Ahmad Farhan, Ahmad Ahsan Khalfani Sabara Amal Witonohadi Amal Witonohadi Amal Witonohadi Andi Arni Soraya Annisa Dewi Akbari, Annisa Dewi Annisa Widya Putri Annisa Widya Putri Annisa Widya Putri Anung B. Aribowo Auliya Dewi Oktriana Bella Suciana Istiqomah Bella Suciana Istiqomah, Bella Suciana Cindy Claudia Cindy Claudia, Cindy Dadan Umar Daihani Dara Mustika Dedy Sugiarto Dewayana, Triwulandari Satitidjati Dewi Nilamsari Didien Suhardini Djohar Tjintamani Docki Saraswati Dorina Hetharia Dorina Hetharia Emelia Sari Eriyatno . Erna Regina Supriatna Fani Puspitasari Fani Puspitasari Ferian Rizkyka Triswara Gunawan, Akbar Gusni Muharam Habyba, Anik Nur Harahap, Anni Kholila Hartini Henry Candra Idriwal Mayusda Ilham, Ahmad Indah Permata Sari Indah Permata Sari Intan Emeralda Iphov Kumala Sriwana Isnaeni Nabilah Isnaeni Nabilah Iwan Purwanto Iwan Purwanto Jeany Fadhilah Agatha Siahaan Juliana Josephina Alexsandra Kadarsah Suryadi Kemala Sari, Debbie Khairunisa, Rahmi Laser Narindro Lukmanul Hakim Lukmanul Hakim Lussa, Mila Oktaviyani Marcel Patulus Caesar Maulana, Ihram Mohammad Ali Wafa Monika Tangel Muhammad Aditya Putra Muhammad Aditya Putra Muhammad Aditya Putra Muhammad Daffa Alrifqi Muhammad Najih N. Nilla Nabila, Shadrina Putri Nilla Nilla Nilla, N. Nilla, Nilla Nora Azm Nora Azmi Nora Azmi Nora Azmi Novia Rahmawati Novia Rahmawati Novia Rahmawati Nue Jihan Widayanti Nur Azizah Putri Utami Parwadi Moengin Parwadi Moengin Pudji Astuti PUDJI ASTUTI Puspa, Sofia Debi Puspitasari, Fani Rachman Catur Kurniawan Rahmi Khairunisa Ratna Mira Yojana Ratnaningsih Ruhiyat Rina Fitriana Rina Fitriana, Rina Rosi Theresia Rumlaklak, Marchel P Silvi Ariyanti Siska Herliana Sofia Debi Puspa Sucipto Adi Suwiryo Suhartati Agoes Suhendi Suhendi Suprana, Yayang Ade Suryana, Yunita Friscilia Susan Sulaiman Susan Sulaiman Teofilus Nathanael Chaiyadi Teofilus Nathanael Chaiyadi Teofilus Nathanael Chaiyadi Tiena Gustina Amran Tono Sukarnoto Tono Sukarnoto, Tono Triwulandari Satitidjati Dewayana Triwulandari Satitidjati Dewayana Triwulandari SD, Triwulandari Wahyuningsih Santoso Wayan Rendy Armilando Widayanti, Nue Jihan Winnie Septiani Yandra Arkeman Yayang Ade Suprana Yayang Ade Suprana Yojana, Ratna Mira Yudha Melianto Yulius .