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Journal : PELS (Procedia of Engineering and Life Science)

Product Needs Planning For Distribution Fulfillment With Double Exponential Smoothing And Distribution Requirements Planning Methods: Perencanaan Kebutuhan Produk Untuk Pemenuhan Distribusi Dengan Metode Double Exponential Smoothing dan Distribution Requirements Planning Natadiharja, Sebastian Arya; Wulandari, Indah Apriliana Sari; Sukmana, Tedjo; Cahyana, Atikha Sidhi
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1398

Abstract

PT. KINI is a company engaged in the distribution of Indosat products. In the distribution process, there is often a shortage of stock for the Voucher type, and there is an excess stock for the SP type. The purpose of this research is to plan product needs before distribution, especially for products that often experience stock shortages. The application of the Double Exponential Smoothing forecasting method, and Distribution Requirement Planning are expected to overcome problems in the lack of fulfillment of product needs. The results of the research showed that the quantity of economical orders based on forecasting on V 3 in 1 products was 18,345 frequency of ordering 6 times, FI 1.5 GB of 11,715 frequency of ordering 4 times, FI 2.5 GB of 12,236 frequency of ordering 4 times, FI 5, 5 GB of 10,075 message frequencies 3 times, 3 GB FI of 11,874 message frequencies 4 times, and 9 GB FI of 6,566 message frequencies 2 times. The conclusions obtained from the development of the DES and DRP methods are the most economical order quantity, and the right time to order to overcome shortages in stock data voucher type products.
Talas Cripic Packaging Design Using Kansei Engineering And Analytical Hierarchy Process (Ahp) Method: Desain Kemasan Kripik Talas Menggunakan Metode Kansei Engineering Dan Analytical Hierarchy Process (Ahp) Nasoik, M. Kholisun; Jakaria, Ribangun Bamban; Cahyana, Atikha Sidhi; Putra, Boy Isma
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1399

Abstract

One of the MSMEs engaged in the snack food sector and currently running is the taro chips business owned by Mr. Wahab which is located at Tambak Sari Village, Purwodadi Pasuruan, East Java. Business running for 1 year. Chips are snacks or snacks made from various ingredients such as flour and others, and also from tubers. Based on the results of interviews and observations obtained from consumers, the problem that is often complained of is the packaging used, which is thin plastic and easily torn or perforated. So that the condition of the chips is easily sluggish or not crispy. Kansei engineering is a technology that translates a customer's or consumer's feeling and image about a product which is then translated into design elements or in other languages, is a customer-oriented technology for product development based on computer science. The purpose of the Kansei engineering method is to make it easier for designers to gather consumer needs based on feelings or what can be called consumer psychology. The Kansei method will be integrated with the Analytical Hierarchy Process (AHP) to decide whether the new packaging is more feasible and good or not. The results showed that the packaging of taro chips was a simple design, bright color, and plastic material from the Kansei Engineering and AHP methods. The packaging is strong and durable so that it can maintain the crispness of the chips.
Quality Control of Tofu Production Processes Using the Seven Tools Method: Pengendalian Kualitas Proses Produksi Tahu Dengan Menggunakan Metode Seven Tools Alwi, Mohammad Kharis; Cahyana, Atikha Sidhi
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1425

Abstract

Tofu is a food derived from soybeans which is then fermented to extract its juice. The problem that often occurs in the tofu industry is that the products produced still have a lot of defects. The purpose of this research is to identify the types of defects in tofu production and the causes of defects in tofu products and to improve product quality. The method used in this study is the seven tools method. Seven tools are 7 (seven) basic tools used to solve problems in production. The results of the research in the production process of SB tofu occurred 4 types of defects, namely defects in unequal size, defects in terms of texture, defects mixed with dirt and defects in color. The most dominant type of tofu SB defect is the type of size defect that is not the same with a percentage of 45.6%. This type of defect is caused by human, machine, material, method, and environmental factors.
Re-Layout Gudang Cat Jadi Menggunakan Metode Slp dan Shared Storage Untuk Meminimalkan Ongkos Material Handling Hidayatulloh, Riqi; Cahyana, Atikha Sidhi
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1440

Abstract

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Implementation of the AHP Method in Determining the Completion of Logistics Warehouse Stock Buildup Using the Expert Choice Application: Implementasi Metode AHP dalam Menentukan Penyelesaian Penumpukan Stok Gudang Logistik Menggunakan Aplikasi Expert Choice Afifah, Sofie Amalia; Cahyana, Atikha Sidhi
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1497

Abstract

The development of logistics services that are increasing has caused an increase in customers of PT. Astrans Putra Logistik also increased, this resulted in the logistics warehouse capacity experiencing a buildup of goods that almost filled the warehouse capacity which made operational activities disrupted, and many complaints from customers. Resolution to overcome this warehouse problem needs to be done so that the company’s operational efficiency is not disrupted and warehouse stock capacity becomes better. This study aims to find out the best solution of warehouse problems that occur through a decision making support system design using the AHP method assisted by the use of the Expert Choice 11 application. In making this decision, 4 stages are carried out, namely Intelligence, Design, Choice, and Analysis of Assessment Result which in the process have a 4 kinds of criteria and 4 kinds of alternative solutions. From the calculation of the AHP method assisted by the use of the Expert Choice 11 application, the weight of each criterion was obtained, namely Increased Operational Efficiency getting a weight of 0,259, Number of Items that can be Accommodated getting a weight of 0,086, Company Income getting a weight of 0,495, and Company Expense getting a weight of 0,160. From the calculation of alternative settlements, it was also found that The Addition of a New Departure Fleet got a weight of 0,385, The Construction of Branch Goods Warehouse got a weight of 0,279, Upgrading Small Trucks to Large Trucks got a weight of 0,187, and The Application of a Pre-order system for customers got a weight of 0,149.
Leveraging TikTok for Enhanced Digital Marketing and Consumer Engagement: Memanfaatkan TikTok untuk Meningkatkan Pemasaran Digital dan Keterlibatan Konsumen Rahmah, Eva Zulfiatur; Rangga, Moch Devan; Syaro , M Fandi; Rahmayanti, Vivia Nailur; Cahyana, Atikha Sidhi
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1548

Abstract

This study explores the increasing utilization of digital platforms for marketing, focusing on the TikTok application due to its burgeoning popularity across diverse demographics. The research employs a mixed-methods approach, analyzing both quantitative usage data and qualitative consumer feedback to assess the effectiveness of online promotions through TikTok. Results demonstrate that TikTok's accessibility and widespread adoption significantly enhance product visibility and consumer engagement, leading to increased sales. Furthermore, the convenience of shopping via this platform saves time and energy for consumers, highlighting a shift in purchasing patterns. The implications of these findings suggest that businesses can leverage TikTok to tap into a broader market, potentially reshaping traditional marketing strategies and consumer interaction in the digital age. Highlights: Online promotions via TikTok are gaining popularity due to widespread usage and accessibility. Shopping online saves time and energy by eliminating the need to visit physical stores. Utilizing platforms like TikTok for marketing offers a dynamic and engaging way to reach potential customers. Keywords: Online Shop, Utility, Dynamic System, Simulation
Forecasting Raw Material Demand for Battery Breaker Production Process: Peramalan Permintaan Bahan Baku untuk Proses Produksi Pemecah Baterai Anshori, Muhammad Hizam; Cahyana, Atikha Sidhi
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1588

Abstract

This study aims to identify the most effective forecasting method for predicting raw material demand in the tin smelting industry, addressing the challenge of uncertainty in material arrival and inaccurate demand forecasting. Three methods, namely moving averages with n = 3 and n = 5, and exponential smoothing, were evaluated using historical data. Results indicate that exponential smoothing with α = 0.2 outperformed the other methods, yielding the smallest error rate with a Mean Absolute Percentage Error (MAPE) of 23%, Mean Absolute Deviation (MAD) of 411, and Mean Squared Error (MSE) of 293303. The implication of these findings underscores the importance of employing appropriate forecasting techniques to optimize inventory management and mitigate shortages in critical industries reliant on volatile raw material supplies. Highlights : Accurate demand forecasting is crucial for companies engaged in smelting to prevent shortages and inventory increases. Three methods were used to determine the most appropriate forecasting method for raw material demand based on historical data: moving average with n = 3 and n = 5, and exponential smoothing with α = 0.2. The Exponential Smoothing Method with α = 0.2 had the smallest error rate, with a MAPE value of 23%, MAD of 411, and MSE of 293303, and can be used to optimize demand forecasting for the next period. Keywords: demand forecasting, smelting, raw materials, historical data, moving average, exponential smoothing.
Quality Control Analysis Using the Failure Mode and Effect Analysis Method: Analisis Pengendalian Kualitas Menggunakan Metode Failure Mode and Effect Analysis Hakim, Muchammad Lukman; Cahyana, Atikha Sidhi
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1589

Abstract

This study aims to identify critical factors contributing to defects in Epodion rh-Erythropoietin Alfa syringes and propose strategies to minimize production flaws. Through Failure Modes and Effect Analysis (FMEA), the research identified cracking as the predominant defect, accounting for 43 out of 62 observed syringe flaws in a production batch of 162,332 units. The Risk Priority Number (RPN) calculation yielded a score of 162, indicating material-related issues as the primary concern. Consequently, the study recommends stringent quality testing of raw materials to enhance material strength and diminish product defects, thereby bolstering overall manufacturing quality. Highlights : The study aimed to investigate factors contributing to defective Epodion® rh-Erythropoietin Alfa syringes, with a focus on reducing cracks during manufacturing. A Failure Mode and Effect Analysis (FMEA) approach was used to identify the primary causes of failure, revealing cracking as the predominant issue affecting 43% of defective units. Enhanced quality control measures for raw materials prior to their utilization within the production process were recommended to minimize product defects. Keywords: Epodion, rh-Erythropoietin Alfa, syringes, FMEA, quality control.