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All Journal Journal Industrial Servicess Journal of Science and Applicative Technology Sebatik Teknosains : Jurnal Sains,Teknologi dan Informatika
Lina Aulia
Teknik Industri, Institut Teknologi Sumatera
Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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PENILAIAN POSTUR KERJA MANUAL MATERIAL HANDLING (MMH) PADA GEDUNG BERTINGKAT MENGGUNAKAN METODE RAPID UPPER LIMB ASSESSMENT (RULA) Nur Miswari; Lina Aulia; Rizqi Wahyudi
Sebatik Vol 25 No 1 (2021): Juni 2021
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (691.568 KB) | DOI: 10.46984/sebatik.v25i1.1160

Abstract

Aktivitas penanganan bahan secara manual masih banyak kita temui dalam kehidupan sehari-hari saat melaksanakan sebuah pekerjaan. Ketidak ergonomis pekerjaan manual material handling (MMH) akan menimbulkan risiko keluhan muskuloskeletal disorder (MSDs). Selain dapat menyebabkan risiko-risiko muskuloskeletal, pekerjaan MMH dapat meningkatkan kelelahan otot lokal akibat banyaknya kontraksi otot yang terlibat dan low back pain (LBP). Aktivitas mengangkat dan membawa galon air secara pada gedung bertingkat tentu menjadi tugas yang cukup berat. Penelitian ini dilakukan terhadap aktivitas MMH mengangkat dan membawa air kemasan galon dengan menggunakan metode Rapid Upper Limb Assessment (RULA) untuk menilai postur aktivitas MMH dan mengklasifikasikan dalam tingkatan risiko. Untuk analisis tekanan pada sendi antara lumbal lima dan sacral pertama (L5/S1) dilakukan dengan software prediksi kekuatan dan ketahanan statis tubuh. Hasil yang diperoleh dari penilaian postur dengan metode RULA aktivitas MMH pengangkatan dan membawa galon air mineral secara manual pada gedung bertingkat adalah nilai 7 (tujuh) yang masuk dalam kategori risiko tinggi sehingga perlu adanya perbaikan segera. Hasil analisis gaya tekan L5/S1 pada sikap kerja MMH yaitu sebesar 1644N untuk posisi angkat dan 2475N saat membawa. Usulan perbaikan yaitu posisi tubuh agar tetap tegak, mengurangi sudut yang terbentuk agar memperkecil momen gaya, menggunakan alat bantu material handling lifting secara mekanis maupun elektrik agar pekerjaan MMH tidak menggunakan kekuatan operator yang berlebihan baik saat mengangkat maupun membawa beban.
Evaluasi Proses Produksi Country kettle Pada PT PLB Dengan Pendekatan Lean Maufacturing Lina Aulia
Journal of Science and Applicative Technology Vol 5 No 1 (2021): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v5i1.356

Abstract

PT PLB (pseudonym) is a company that produces household appliances and kitchen utensils. The country kettle is one type of product made by PT PLB. The productivity of the country kettle production line decreased by 56%. This was due to defective products. The largest percentage of defects in-country kettle products occurred in the spinning process of 40.18%. This study aimed to identify the causes of defects in-country kettle products and how to overcome them by designing improvement proposals. Lean manufacturing principles were used to evaluate the problems that occur. There were three types of lean manufacturing tools used in this study: Value Stream Mapping (VSM) and 5Ways. VSM was used to describe and identify value-added activities, non-value-added activities but necessary, and non-value-added activities so that the production process becomes lean. The root cause analysis was performed using the 5 Whys method. Unskilled workers and non-standard material types between suppliers are the highest contributors to defects in the spinning process. Based on this, this research was focused on improvements made in the spinning process. Proposals for improvements to the causes of the problems found are standardization of work procedures, standardization of supplier specifications, and arrangement of semi-finished goods and/or supplies. Based on the company's results, the proposed standardization of work procedures and arrangement of semi-finished goods and/or supplies may be implemented in the company. Meanwhile, the proposal for selecting suppliers is not feasible due to company limitations
Work environment standardization for the t-shirt production process at CV Nanda Konveksi using lean principles Lina Aulia; Almirah Amanda Putri; M Zaky Hadi
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1064

Abstract

The purpose of this study is to standardize the workplace to meet CV ND Konveksi's goals for working hours. The variety of t-shirt production process timings at CV ND Konveksi, the unknown production process time for each type of t-shirt, and the nonconformity of Standard Operational Procedures (SOP) with actual work techniques are all impacted by current work environment issues. Using process activity mapping, observations were conducted of every step in the t-shirt production process to gather data for the study. By classifying the value of operations into three categories—value added, no value added, and no value added but necessary—the outcomes of data processing are assessed. Root Cause Analysis (RCA) is used to perform a root cause analysis based on the activity categories whose values have been determined. The identification of the root cause of the issue was based on the source of the problem that was experienced. This root cause was the absence of standardization in the work environment, which led to the formation of wasteful practices such as searching. The 5S principle (seiri, seiton, seiso, seiketsu, and shitsuke) is applied in the work environment standardization strategy. When CV ND Konveksi Lampung adopted the 5S program, performance productivity increased by 10%, the value ratio decreased by reducing NNVA activities by 22 and NVA by 13, and the processing time efficiency increased by 30%, from 19.7 minutes to 13.9 minutes for the production of a single t-shirt. Another result was activity efficiency, which came in at 22%. Of the activities, 15 could be deleted because they contributed no value
A design of cross-selling products based on frequent itemset mining for coffee shop business M Zaky Hadi; Ari Hasudungan Pratama Pasaribu; Fatin Saffanah Didin; Lina Aulia
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK-Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1065

Abstract

Using a case study at the XYZ coffee shop in Bandar Lampung, Indonesia, this work conducts knowledge extraction on a sales dataset to create a cross-selling model for product bundling advice. Understanding Knowledge extraction was done using a frequent itemset mining technique based on an Apriori algorithm to extract a set of association rules between products. The study implemented a five-stage frequent itemset structure that encompasses business comprehension, data preparation, data exploration, model creation using the Apriori algorithm, and rules evaluation. The framework that comes from this research provides a set of bundling association rules across items for cross-selling strategies that involve many products and complex sales timeframes. Additionally, we recommended sales activities based on loyalty cards to enhance our dataset with consumer attributes and purchasing trends. Based on customized services and tailored offers based on consumers' past purchases and spending patterns, the loyalty card recommendation was created. Consequently, we may target the appropriate clients and items with our marketing initiatives
Designing an analytics dashboard for knowledge extraction in the retail industry using descriptive and predictive analytics Ruansyah, Muhammad Aldyan; Hadi, M Zaky; Iqbal, Muhammad; Juniwati, Juniwati; Aulia, Lina
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.27900

Abstract

With the rise of digitalization and data growth, many business sectors are increasingly focused on data. As a result, developing a descriptive and predictive analytics dashboard is essential for extracting insights from complex datasets and supporting decision-making. This study addresses data analytics challenges in the retail industry by designing a dashboard system for analyzing and visualizing data. It also proposes future predictions for customer analytics, simplifying the interpretation of results from complex datasets obtained through business activities in the retail supply chain. These processes have implications for decision-making in areas such as customer segmentation, demographic analysis, and sales performance. The dashboard design includes a pre-processing stage for retail industry datasets and the creation of descriptive and predictive analytics models using clustering methods. It also simulates the development of these models into a comprehensive dashboard. The primary analysis employs the K-Means algorithm for RFM (Recency, Frequency, Monetary) analytics, customer segmentation, and demographic analysis. Results show that the use of this dashboard enhances the visualization of data, supporting decision-making processes related to marketing strategies, sales performance, and inventory management. By applying advanced analytic techniques to marketing strategies, supply chain management, and inventory planning, retail businesses can optimize their operations. This optimization is achieved through better data analytics tools.
Co-Authors Almirah Amanda Putri Ari Hasudungan Pratama Pasaribu Fatin Saffanah Didin Iqbal, Muhammad Juniwati, Juniwati M Zaky Hadi Miswari, Nur Rizqi Wahyudi Ruansyah, Muhammad Aldyan