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All Journal Prosiding Semnastek Jurnal Teknoinfo Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi Journal of Applied Sciences and Advanced Technology Procedia of Social Sciences and Humanities Journal of Engineering and Information Technology for Community Service Abdi Implementasi Pancasila: Jurnal Pengabdian kepada Masyarakat
Kotim Subandi
Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Pakuan
Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Social Sciences Other

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MANAGEMENT SUMMARY EXECUTIVE PENJUALAN BERBASIS APLIKASI DIGITAL DIMASA PANDEMI Kotim Subandi; Dinar Munggaran Akhmad; Adriana Sari Aryani
Abdi Implementasi Pancasila:Jurnal Pengabdian kepada Masyarakat Vol 2 No 1 (2022): Mei
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (173.633 KB) | DOI: 10.35814/abdi.v2i1.2934

Abstract

The development of social media and marketplaces as part of information technology has a very big contribution in developing business. Current developments have also changed the pattern and map of competitive forces in running a business to become more competitive. Therefore, reliability in the use of social media and marketplaces is an important and strategic thing that is needed by business people. But this is in stark contrast to business people who are still in the pioneering stage or just starting their business, such as Lagsana Ummy Hunny. Capitalized on knowledge and insight that is still new to social media and marketplaces, it is quite influential in developing managed businesses. Therefore, this community service activity aims to increase the insight and knowledge of the Lagsana MSME owner, Ummy Hunny, located in the Bojong Gede area, Bogor Regency, in the use of social media and marketplaces for the benefit of developing business. The method that will be used to support the implementation of community service activities such as providing training and assistance to increase knowledge and insight. Knowledge and insight applied to this activity is how to utilize an information technology. Information technology is used to develop the marketing reach of the general public through social media. This activity has been going well and has contributed to increasing sales through the Dogital Application. The use of Digital Applications is very helpful in increasing sales because of the information from the menu variants sold through social media.
DESAIN MODEL IDENTIFIKASI DINI PEMANFAATAN TANAMAN AROMATIK INDONESIA Adriana Sari Aryani; Hermawan Taher; Kotim Subandi
Jurnal Teknoinfo Vol 17, No 2 (2023): Vol 17, No 2 (2023) : JULI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i2.3100

Abstract

The fragrance industry is estimated to grow 3.9% per year until 2025 with a tendency to move from synthetic raw materials to natural sources. Fragrance ingredients are used for perfume, flavor, aromatherapy, or various other purposes. Indonesia has a variety of aromatic plants which are raw materials for fragrances, but not all of them have been identified properly. Early identification of the use of aromatic plants in Indonesia can be done by conducting organoleptic observations on plant specimens. Input data can be in the form of symphysia or extracts from plants whose sources have been identified. The identification method was developed using the Fault Tree Analysis model, in which the failure mode is used to filter out the possibility of tracking the plant so that it does not enter the next selection event. There are three top events to be achieved, namely the use of aromatic plants as perfume, flavors, and aromatherapy. Data that cannot reach one of the top events are categorized as unidentified aromatic plants or non-aromatic plants. The test results using 100 Indonesian plants data that were suspected to be aromatic, concluded that 25 plants were for perfume, 63 were for flavor, 24 were for aromatherapy, 6 were indicated for aromatic but their use had not been confirmed, and 11 were non-aromatic plants. The early identification model for the use of aromatic plants using the Fault Tree Analysis approach after being validated with the Cofussion Matrix method, has an average precision of 84.35% with an accuracy of 86.23%. Identification of aromatic plants for flavoring ingredients has a precision of 98.36% with an accuracy of 97.27%, although it is also good for predicting the use of fragrances and aromatherapy.
Alert Control Model for Exposure of COVID-19 in Industrial Closed Work Space Hermawan Hermawan; Kotim Subandi; Adriana Sari Aryani; Syarif Hidayatullah; Dinar Munggaran Akhmad; Victor Ilyas Sugara
Journal of Applied Sciences and Advanced Technology Vol 5, No 3 (2023): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.5.3.105-112

Abstract

The Covid-19 pandemic has changed the industrial management system, including the regulation of labor. Most of the work in the industry cannot be done through work from home, but must still be in production units. In a number of cases, clusters of COVD 19 were found in the industry, forcing the industry to have to lock down. The problem of the lack of a model for controlling the spread of COVID 19 in the manufacturing industry is the basis for this research. The model designed in this study is also expected to be relevant in the new normal era for the manufacturing industry. The modeling and application of COVID-19 control research in the manufacturing industry is carried out through four stages, namely identification and characterization of work patterns, model design and validation, model implementation and verification, and model comparison testing. At the stage of identification and characterization of work patterns using the methods as guided by the International Labor Organization. The design phase and model validation used the Epidemic Mathematics approach and the Shewhart Control Chart. The application of the model in the industry is in accordance with the guidelines for working in a factory during the COVID-19 Pandemic according to the World Health Organization. The comparative test of the model will be processed using the diversity test. The data used is collected from the company in the form of simple tracing monitoring data for workers before entering the work area and shortly before leaving the work area, COVID 19 test data if any, employee health data, and other data if relevant to support this research. The data obtained is used for model design, both the employee health control model and the COVID-19 distribution model in the work area. The model is made with a scope that is limited only to the industrial work environment, not including outside facilities. Contamination to employees may occur when employees return home or are outside the factory. The model also does not adopt the presence of employees who are being treated for COVID-19 healing in a healing facility. In the Shewhart Control Chart model, it is hoped that a control limit can be obtained that can be used to monitor fluctuations in employee health, the diagram will be designed for daily monitoring of workers. Out-of-control data becomes a warning to carry out a reliability test (Capability) and to trace sources of contamination obtained by employees.
Co-Authors Adriana Sari Aryani Adriana Sari Aryani Agung Prajuhana Putra Arie Qur’ania Asep Saepulrohman Dinar Munggaran Akhmad Dinar Munggaran Akhmad Gustian Rama Putra Hermawan Hermawan Hermawan Taher I Wayan Sriyasa Puspa Citra Siska Andriani Syarif Hidayatullah Victor Ilyas Sugara Yulian Syahputri Yusma Yanti