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Development Of An Ergonomic Banana Chopping Machine With Consideration of The Anthropometry of Indonesian People Pical, Ariel Julianus; Fortunatus, Yoel; Damayanti, Florencia Agatha; Narendra, Ravael Dimas Eka; Tentua, Johan Patrick; Irawati, Desrina Yusi
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 20, No 2 (2023): June 2023
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.v20i2.21371

Abstract

Micro-and medium-sized enterprises are the axis of the economy, especially in Indonesia, and have an essential role in supporting the running of the national economy. With the rapid development of technology. Innovation is the primary key to improving a business so that it can compete even on an international scale. This study aims to design a banana chip chopper machine that considers ergonomic values, considering that there are still many banana chip chopper machines sold on the market without considering ergonomic values in the product. They are like the height of the machine, which is different from the average height of the Indonesian people. The chopping process is still manual, and it is challenging to create consistent quality pieces of chips because the slicing is still manual and must adjust to the size of the machine. It does not match the average height of Indonesians, where which can result in injury to the hands and muscles of the hands. Then the study results will show an ergonomic banana-chopping machine with a height and size that match the anthropometric data of Indonesian people
Implementasi Metode Fuzzy Time Series dalam Peramalan Penjualan Produk Unggulan Perusahaan Damayanti, Florencia Agatha; Nurhayati, Lilis
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 1 (2024): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i1.21249

Abstract

This research discusses sales forecasting of two superior products of PT. Pakis Logam Perkasa Indonesia: semi-stainless spatula and electric elbow grater c. One of the household furniture manufacturers in Tulungagung sells its wholesale and retail products. Due to the high demand for semi-stainless spatula and c-elbow electric grater products, the company experienced uncontrolled inbound and outbound sales. Therefore, sales forecasting is imperative. Sales forecasting uses previous data to decide how many products to market. Chen's Fuzzy Time Series model uses a technique for forecasting the demand for semi-stainless spatulas and c-elbow electric grates for the next month based on previous data patterns. The two methods used to analyze data are qualitative analysis and quantitative analysis. The aim of creating this forecasting model is to improve forecasting results, especially in terms of accuracy. Next, the Mean Absolute Percentage Error (MAPE) determines the error value from the forecasting results. The error value for the semi-stainless spatula product is 1.03%, and the c-elbow electric grater is 0.62%. The MAPE test shows that the forecasting results of these two products are excellent.
Sentiment Analysis about Electric Motorbikes in Indonesia Using Twitter Data Irawati, Desrina Yusi; Bellanov, Agrienta; Damayanti, Florencia Agatha
Spektrum Industri Vol. 22 No. 1 (2024): Spektrum Industri - April 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v22i1.158

Abstract

Along with the rapid development of technology, various types of transportation have experienced increased innovation in shapes, colours,models, and even engines. However, one thing that needs special attention is the number of pollutants or emissions released by vehicles. One effort to reduce emissions is increasing the production of Battery-Based Electric Motorized Vehicles. Battery-based electric vehicles developed in Indonesia include electric cars and electric motorcycles. Among these types of electric vehicles, Indonesian society widely adopts electric motorcycles. However, sales of electric motorbikes were only 15 thousand units, lower than sales of petrol motorbikes which reached 5 million units. This study contributes to understanding further how the community responds to electric motorcycles in detail through sentiment analysis on social media data. Consumer acceptance of electric motorcycles can be seen from the numerous active Twitter users in Indonesia who provide positive and negative comments on the presence of electric motorcycles. Text information based on public comments in Indonesia via Twitter is collected using Sentiment Analysis in R Studio. Twitter comments will be classified into positive, negative, and neutral groups. The results show 63% positive, 21% unfavourable, and 14% neutral opinions. This condition means that Indonesian society accepts and has a supportive opinion of the presence of electric motorcycles. The government and entrepreneurs can use this information to create electric motorcycles that align with the community's preferences.