Articles
<![CDATA[Analisis Pengaruh Kebisingan Terhadap Hearing Loss Karyawan pada Area Water Treatment Plant (WTP) ]]>
<![CDATA[Ishak, Aulia]]>;
<![CDATA[Syah, Chairul]]>
<![CDATA[ Jurnal Sistem Teknik Industri Vol. 21 No. 2 (2019): JSTI Volume 21 Number 2 July 2019 ]]>
Publisher : <![CDATA[TALENTA Publisher ]]>
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DOI: 10.32734/jsti.v21i2.1216
<![CDATA[PT. Energi Sejahtera Mas (ESM), merupakan perusahaan yang bergerak dalam hal produsen oleochemical yang berlokasi di Dumai, Riau, Indonesia. Pada PT. Energi Sejahtera Mas terutama pada area Water Treatment Plant (WTP) tingkat kebisingan yang diakibatkan oleh mesin adalah berkisar 80 dB - 100 dB. Kebisingan dapat menyebabkan terjadinya hearing loss (gangguan pendengaran) bagi karyawan. Dari total 9 orang pekerja didapatkan keluhan sebanyak 7 orang pekerja mengenai tingkat kebisingan pada area WTP. Pada penelitian ini dilakukan perhitungan tingkat kebisingan pada aera WTP menggunakan software Surfer. Sedangkan untuk melakukan analisa terhadap faktor penyebab masalah hearing loss karyawan diidentifikasi dengan menggunakan Fishbone Diagram. Dan rincian solusi pemecahan masalah hearing loss karyawan dibuat menggunakan Tabel Faktor Penyebab. Dimana solusi yang ditawarkan antara lain pengukuran kebisingan pada area proses secara kontinu; peringatan visual besar nilai kebisingan; penerapan safety talk; dll.]]>
<![CDATA[Identifikasi: Kriteria untuk Menilai Teknologi Pengolahan Air Limbah ]]>
<![CDATA[Ishak, Aulia]]>;
<![CDATA[novalin, Susi Diriyanti]]>;
<![CDATA[Asfriyati]]>
<![CDATA[ Jurnal Sistem Teknik Industri Vol. 22 No. 2 (2020): JSTI Volume 22 Number 2 July 2020 ]]>
Publisher : <![CDATA[TALENTA Publisher ]]>
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DOI: 10.32734/jsti.v22i2.3878
<![CDATA[Hirarki AHP adalah sarana terstruktur untuk memodelkan keputusan yang ada. Ini terdiri dari tujuan keseluruhan, sekelompok opsi atau alternatif untuk mencapai tujuan, dan sekelompok faktor atau kriteria yang menghubungkan alternatif dengan tujuan. Kriteria selanjutnya dapat dipecah menjadi subkriteria dan sebagainya, dalam level sebanyak yang diperlukan masalah. Kriteria untuk penilaian teknologi pengolahan air limbah ditentukan melalui review literatur yang luas. Literatur adalah jurnal yang diterbitkan tentang suatu topik. Tujuan dari makalah ini adalah untuk mengetahui kriteria yang dapat digunakan untuk penilaian teknologi pengolahan air limbah.]]>
<![CDATA[Applying Computer Integrated Manufacturing for Productivity Improvement: A Literature Review ]]>
<![CDATA[Dudin, Sa]]>;
<![CDATA[Ginting, Rosnani]]>;
<![CDATA[Ishak, Aulia]]>
<![CDATA[ Jurnal Sistem Teknik Industri Vol. 23 No. 2 (2021): JSTI Volume 23 Number 2 July 2021 ]]>
Publisher : <![CDATA[TALENTA Publisher ]]>
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DOI: 10.32734/jsti.v23i2.6279
<![CDATA[In this era of globalization, information technology, especially through the use of computer technology (program and software) is developing rapidly and has aN enormous impact on the manufacturing industry to support companies as a solving problems tool related to manufactured products that rely on input, process, and output, as well as Increasing effectiveness, efficiency, and productivity. The purpose of this study is to review various literature regarding the application of Computer Integrated Manufacturing (CIM) in the manufacturing company. Also, the scope of this study is to discuss and analyse in depth the related articles through the identification of scientific publications from 2001 to 2021, published in databases and electronic journals in English, and 30 items selected.]]>
<![CDATA[Impact of Supply Chain Integration on Business Performance: A Review ]]>
<![CDATA[Manik, Donald]]>;
<![CDATA[Sinulingga, Sukaria]]>;
<![CDATA[Ishak, Aulia]]>
<![CDATA[ Jurnal Sistem Teknik Industri Vol. 24 No. 1 (2022): JSTI Volume 24 Number 1 January 2022 ]]>
Publisher : <![CDATA[TALENTA Publisher ]]>
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DOI: 10.32734/jsti.v24i1.7621
<![CDATA[Supply Chain method approach has become a resource for companies to build a sustainable competitive advantage in this complex and volatile competitive environment. Numerous recent literature studies on supply. However, comprehensive analysis, clearly identifying the supply chain relationships used and finding the impact of this relationship on supply chain performance are still lacking. Therefore, this research has the main objective to review past studies on the implementation of supply chain in SMEs, as well as to research the literature to analyze how SMEs have implemented supply chain management approaches. To understand the role of supply chains in SMEs conducted a comprehensive literature review, which resulted in the identification and analysis of 20 high quality international journal articles, published between 2017 and 2021 in English. Based on the findings from this literature review, there are methods or frameworks that can be used by researchers to understand the implementation of Supply Chain Integration in business that can improve performance, efficiency, added customer value, or even competitive advantage. Then, the researcher realizes the need to conduct a literature review to see new developments and findings that have appeared in previous studies. The result is a detailed analysis of the main findings and insights obtained.]]>
<![CDATA[Inventory Optimization Model Design with Machine Learning Approach in Feed Mill Company ]]>
<![CDATA[Nasution, Alfian Aziz]]>;
<![CDATA[Matondang, Nazaruddin]]>;
<![CDATA[Ishak, Aulia]]>
<![CDATA[ Jurnal Sistem Teknik Industri Vol. 24 No. 2 (2022): JSTI Volume 24 Number 2 July 2022 ]]>
Publisher : <![CDATA[TALENTA Publisher ]]>
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DOI: 10.32734/jsti.v24i2.8637
<![CDATA[This article aims to address the impacts that companies can have with the application of machine learning to carry out their demand forecasts, knowing that a more accurate demand forecast improves the performance of companies, making them more competitive. The methodology used was a literature review through descriptive, qualitative and with bibliographical surveys in International Journal from 2010 – 2022 by different authors. Findings show that the references prove that demand forecasting with the use of machine learning brings many benefits to organizations, for example, since the results are more accurate, there is better inventory management, consequently customer satisfaction for having the product at the right time and place. Further, this article concludes and suggests that the use of machine learning is able to identify variables that affect the demands, with this it makes a forecast closer to reality and helps managers to make more accurate decisions, improving strategic planning and supply chain management. of company supplies.]]>
<![CDATA[Analysis of Production Line Balance with Helgeson Birnie Approach on Plastic Chopping Machine ]]>
<![CDATA[Khatami, Muhammad]]>;
<![CDATA[Ginting, Rosnani]]>;
<![CDATA[Ishak, Aulia]]>
<![CDATA[ Jurnal Sistem Teknik Industri Vol. 25 No. 1 (2023): JSTI Volume 25 Number 1 January 2023 ]]>
Publisher : <![CDATA[TALENTA Publisher ]]>
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DOI: 10.32734/jsti.v25i1.9288
<![CDATA[The purpose of track balance is to find out the constraints that cause the work station to be unbalanced. Research on plastic chopping tool products, where the production of plastic chopping tools takes too long in the process of making one product. line balancing is the process of balancing the production line, especially in the assembly production process. The balance of this path is intended to reduce excessive workload on one work station and strive so that each work station on each path has the same load. It is intended that each work station has a more efficient work cycle time and can avoid operator errors in assembly. to minimize the number of stations for a given cycle time. The problem of unbalanced production lines and differences in large station times causes an imbalance in the production floor. Balancing the lines on the production floor will affect the achievement of predetermined production targets. The Helgeson-Birnie method is one of the track balance methods that can solve problems in track balance. In the Ranked Position Weight results there are 6 work stations, the efficiency value is 90.02%, the balance delay is 9.97% and the Smoothing Index is 628,204]]>
<![CDATA[Smart Manufacturing Technology Adoption for Improving Productivity: A Systematic Literature Review ]]>
<![CDATA[Satria]]>;
<![CDATA[Matondang, Nazaruddin]]>;
<![CDATA[Ishak, Aulia]]>
<![CDATA[ Jurnal Sistem Teknik Industri Vol. 25 No. 2 (2023): JSTI Volume 25 Number 2 July 2023 ]]>
Publisher : <![CDATA[TALENTA Publisher ]]>
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DOI: 10.32734/jsti.v25i2.9485
<![CDATA[This paper is to present a review of the Smart manufacturing application as Industry 4.0, specifically on the conceptual approaches to define it. Two conceptual approaches to the application of the concept of smart manufacturing are distinguished. The method using the previous articles of scientific journals from 2017-2022 (thirty-two international paper) were selected based on previous works, with the scope to investigate and analyze in-depth the extent to which literature used to discuss results in the selected studies of applying the Smart Manufacturing Technology in manufacture enterprises. The results of the previous studies are discussed and investigated in a table format.]]>
<![CDATA[Inventory Management Under Uncertainty Condition with Fuzzy Logic: A Literature Review ]]>
<![CDATA[Amelia, Tia]]>;
<![CDATA[Ginting, Rosnani]]>;
<![CDATA[Ishak, Aulia]]>
<![CDATA[ Jurnal Sistem Teknik Industri Vol. 25 No. 2 (2023): JSTI Volume 25 Number 2 July 2023 ]]>
Publisher : <![CDATA[TALENTA Publisher ]]>
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DOI: 10.32734/jsti.v25i2.9571
<![CDATA[Fuzzy set theory, or fuzzy logic, has been in use in inventory systems since the 1980s, with vaguely defined, ill-defined, or imprecise values, or decisions based on individual subjective beliefs. Provides a framework for describing the parameters that can be passed. There are many uncertainties in inventory management that can arise due to many things, such as: Order Changes, Random Supplier Capabilities, or Unexpected Events. Fuzzy logic as a method of inventory control that provides a framework by considering parameters that are vague or poorly defined, or whose values are imprecise and determined based on individual subjective beliefs make it available. The purpose of this white paper is to review previous studies using fuzzy logic in inventory management to see the uncertainty variables used. The method used is a thematic analysis of articles on the application of fuzzy logic in various industries. The results of the review show that variables like fuzzy logic make it easy to obtain results from uncertainty variables that can be applied to industrial activities to enable manufacturing activities to be carried out effectively and efficiently increase.]]>
<![CDATA[A Literature Review of Distribution Solving Problems by Various Transportation Methods ]]>
<![CDATA[Nursafwah]]>;
<![CDATA[Matondang, Nazaruddin]]>;
<![CDATA[Ishak, Aulia]]>
<![CDATA[ Jurnal Sistem Teknik Industri Vol. 25 No. 2 (2023): JSTI Volume 25 Number 2 July 2023 ]]>
Publisher : <![CDATA[TALENTA Publisher ]]>
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DOI: 10.32734/jsti.v25i2.9741
<![CDATA[The aim of this study to review the limited survey of a systematic various existing transportation problems and the application developed by different researchers and applied in some case studies. The methodology applied in this paper through various research papers that available at Google Scholar, Science direct, Elsevier, IOP and another publisher from 2014-2022 (twenty-four international researches). The main purpose of this review paper is to discuss, analyze and the existing forms of various types of transportation problems and their systematic development, Findings show that in addition to the MODI and VAM methods, other methods have also emerged to solve the transportation problem. One of them is Improve VAM (IVAM) that built by Nahar et.al (2018). IVDM on transportation or delivery strategy. Further, this paper concludes that mathematical models and algorithm method of transportation derivatives/techniques of MODI and VAM are most used to optimize single or multipurpose parameters such as distribution cost, profit earned, total transportation time etc.]]>
<![CDATA[A Review of Literature on Lean Manufacturing Tools and Implementation Based on Case Studies ]]>
<![CDATA[Prawira, Yoga]]>;
<![CDATA[Ishak, Aulia]]>;
<![CDATA[Anizar, Anizar]]>
<![CDATA[ Jurnal Sistem Teknik Industri Vol. 26 No. 1 (2024): JSTI Volume 26 Number 1 January 2024 ]]>
Publisher : <![CDATA[TALENTA Publisher ]]>
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DOI: 10.32734/jsti.v26i1.11489
<![CDATA[This research focuses on reviewing the Lean Manufacturing (LM) implementation which is widely applied in the manufacture company to overcome or reduce waste. The aim of this article is to find out more about the influence on the industry sector. This research was developed by collecting research from indexed databanks of Scopus, Science direct, ResearchGate, etc. This review study is significant to identify the application of lean manufacturing in dealing with waste through implementation into several case studies. A total of 24 articles were selected, taking into account criteria such as keywords, article titles and publications of international publishers, which were selected through a systematic process. This study found that the application of lean manufacturing is a method that brings many advantages that work by minimizing losses and waste, and the Value Stream Mapping method is more often used as part of several Lean Manufacturing techniques to identify and analyze the occurrence of waste while providing solutions that lead to improvement. process and cost reduction.]]>
