Article Per Year (5 Year)
p-Index From 2021 - 2026
4.567
P-Index
This Author published in this journals
All Journal Jurnal Simetris Jurnal Ilmu Teknik SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Inotera Jurnal Serambi Engineering Jurnal Sistem Teknik Industri Jurnal Optimalisasi Ekombis: Jurnal Fakultas Ekonomi Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar Unistek: Jurnal Pendidikan dan Aplikasi Industri Marine Kreatif JURNAL TEKNIK INDUSTRI JURNAL PENGABDIAN AGRO AND MARINE INDUSTRY Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Informatika
Arie Saputra
Universitas Teuku Umar
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

Published : 43 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 43 Documents
Search

 1   2   3   4   5 
Analisis Risiko Kerusakan Mesin ( Downtime ) Ripple Mill Stasiun Kernel (Studi Kasus PT. Ujong Neubok Dalam) Zulfahmi, Zulfahmi; Saputra, Arie
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 19, No 2 (2022): Juni 2022
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v19i2.17296

Abstract

Ketatnya persaingan dunia industri mengharuskan perusahaan memaksimalkan eksistensinya untuk memperoleh produk yang berkualitas maupun kuantitas. PT. Ujong Neubok Dalam (UND) merupakan perusahaan yang bergerak di bidang industri kelapa sawit (PKS), salah satu perusahaan yang terletak di desa Ujong Lamie Kabupaten Nagan Raya. Jenis produk yang dihasilkan oleh PT. UND adalah Crude Palm Oil (CPO), dan Palm Kernel Oil (PKO). Dalam melaksanakan proses produksi, perusahaan sering mengalami risiko kegagalan pada mesin ripple mill. Salah satu risiko yang pernah terjadi adalah kerusakan pada komponen rotor bar 19 x 390 mengakibatkan mesin ripple mill mengalami downtime pada mesin. Selain itu fall down benda baik itu besi maupun peralatan ke dalam mesin ripple mill sehingga mengakibatkan mesin ripple mill tidak berfungsi secara efektif dan efisien. Dalam menyelesaikan permasalahan penulis mengunakan metode FMEA untuk mengidentifikasi risiko kegagalan dan menggunakan metode fishbone untuk mencari sebab akibat kejadian pada risiko. Hasil analisis FMEA berdasarkan nilai RPN didapatkan risiko prioritas adalah jatuh besi kedalam ripple mill dengan nilai RPN sebesar 504. Sebab akibat yang ditemukan berdasarkan hasil metode Fishbone adalah kurangnya perawatan pada mesin ripple mill, kurangnya pengawasan terhadap mesin ripple mill, metode pegoperasian mesin masih manual, dan layout penempatan mesin belum tertata rapi. Kata Kunci:  Fishbone, FMEA, Mesin, Risiko, Ripple Mil
Analisis Faktor Pengendalian Tingginya Kadar Air Pada Produksi Crude Palm Oil Melalui Pendekatan SPC dan FMEA Di PT Socfindo Seunagan Nissra, Ajulia; Saputra, Arie
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 19, No 2 (2022): Juni 2022
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v19i2.17817

Abstract

PT. Socfindo Seunagan is a company unit of PT. Socfindo Indonesia which is engaged in oil palm plantations and processing of oil palm fruit or Fresh Fruit Bunches into Crude Palm Oil. Based on observations made at PT. Socfindo Seunagan, the type of damage that most dominates the decline in CPO quality is high water content which is not in accordance with the standards set by the company, namely 0.5%. The purpose of this study was to identify the factors that cause high water content in CPO products using the FMEA method and control using the SPC method. The results of the FMEA method obtained that the highest Risk Priority Number (RPN) value for 9 factors caused the vacuum dryer machine not to operate properly at 567. Through the SPC method, it was found that the influence of these causal factors had a percentage of 29% of the other 8 factors. Based on the determination of the control chart, the center line is 243, the upper control line is 745 and the lower control line is -260. This indicates that the causative factors have a major influence on the high water content of CPO. From the fishbone diagram the vacuum dryer machine does not operate properly due to human factors, machine factors, materials and method factors.
Optimasi Jalur Distribusi Menggunakan Pendekatan Algoritma Genetika Saputra, Arie; Fadhilah, Desi
Jurnal Optimalisasi Vol 10, No 2 (2024): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v10i2.10601

Abstract

Management and planning of transportation distribution channels are important in increasing the company's operational efficiency. Optimal distribution arrangements can reduce transportation costs and time, as well as increase product competitiveness in the market. One method used to determine the best distribution route is the Traveling Salesman Problem (TSP), which helps companies achieve maximum efficiency. This research was carried out at the AMDK CV company. Tirta Naga Lestari (TNL) as a case study to analyze product distribution to 11 locations in Aceh. Unplanned product distribution causes high shipping costs. A genetic algorithm (GA) approach is used to find the optimal distribution route. Previous research shows that GA effectively solves complex transportation problems, such as Vehicle Routing Problems (VRP) and transportation scheduling.  This research is a development of the use of the GA method for multiple routing case studies where a route repetition process occurs. This is interesting because previous studies only focused on developing GA methods for single or multiple routing cases but there was no route repetition process (looping). This research aims to determine the optimal distribution path for cases with multiple routing and repetition of the same route.  The different constraints of the solved cases require a more adaptive GA approach. From the results obtained, it is proven that it can minimize total distribution costs of IDR 2,900,000,- with an efficiency of 37.52%. This study is proven to be able to use the GA approach to solve multiple routing problems with route repetition, thus helping to find optimal route solutions that are more efficient for product distribution.
Co-Authors Abdul Malik Ali Adib Adib Aguslita, Fani akib abro, akib Alfatah, Adrian Arga, Dwi Prasiska Lena Eulis Bali Mawartika, Yayang Fachrul Razi Fadhilah, Desi Fani Aguslita Fitriadi Fitriadi Fitriadi Fitriadi Harmaini Harmaini Hasnita, Hasnita Helmi Noviar Hidayatun Rahmah Hutagalung, Irna Monica Ida Nopiyanti Iing Pamungkas Indra Kusuma Irawan, Heri Tri Irmayani Irmayani Jamhari Jamhari Junianto Putra Khairul Hadi Lestari, Suci Ayu Luh Putu Ratna Sundari Mahmud, Gustamin Marlinda Marlinda Muhammad Kasim Muhammad Rizki Munti Suryani Muzakir Muzakir, Muzakir Nissa Prasanti Nissra, Ajulia Noviar, Noviar Putra, Gaustama restu juniah, restu Riski Asnif Sahputra Rita Hartati riza ulhaq Said Fadhlain Saiful Badli Sandika, Frendi Sarbeni Sarijal Sarijal Sofiyanurriyanti Sudarman Sudarman Suryani, Munti Syahril Syahril Syahril Syahril T. M. Azis Pandria Teuku AlKautsar Trinaljo Sagala Wahyudi Wahyudi Yandi saputra, Arie Yola Tri Amanda Zulfahmi Zulfahmi