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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Industrial and Systems Engineering Assessment Journal (INASEA) CommIT (Communication & Information Technology) CESS (Journal of Computer Engineering, System and Science) Proceeding of the Electrical Engineering Computer Science and Informatics JURNAL PENDIDIKAN TAMBUSAI ComTech: Computer, Mathematics and Engineering Applications JARES (Journal of Academic Research and Sciences) INFOKUM Journal of Green Engineering for Sustainability
Fergyanto E. Gunawan
Bina Nusantara University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Social Sciences

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An Analysis of Bitcoin Acceptance in Indonesia Fergyanto E. Gunawan; Rizki Novendra
ComTech: Computer, Mathematics and Engineering Applications Vol. 8 No. 4 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i4.3885

Abstract

This research intended to understand the factors affecting the acceptance of Bitcoin technology in Indonesia. It adopted the model of Unified Theory of Acceptance and Use of Technology (UTAUT), which took into account four influencing factors. Those were performance expectancy, effort expectancy, social influence, and facilitating conditions. The factors of gender and age were assumed to moderate the relations between those four factors and use and behavioral intention. The empirical data for those factors were collected by questionnaires from 49 respondents. The statistical significance of the relationships was evaluated by multivariate regression analysis. The result is a model that matches the data with R2 = 0,678. It demonstrates a high level of fitness. The analysis suggests that the performance expectancy factor and the social influence factor greatly affect the behavioral intention to use Bitcoin with the values of t-statistic of 3,835 (p-value = 0,000) for the former factor and 1,948 (0,059) for the latter factor. However, the social influence factor has less profound effect on the behavioral intention.
The Relationship between Job Stress and Employee Performance in Manufacturing Industry in Indonesia Deasy Lastya Sari; Ribka Intan Putri Sinaga; Helen Storyna; Fergyanto E. Gunawan; Muhammad Asrol; A.A.N. Perwira Redi
JARES (Journal of Academic Research and Sciences) Vol 6 No 2 (2021): September 2021
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/jares.v6i2.1640

Abstract

One-fourth of Indonesia's Gross Domestic Product or GDP is from the manufacturing industry sector. Indonesia's government has proactively encouraged companies to increase their production capacity to meet the global demands, leading to strong demand for employees to work harder, affecting the workers' health. Overwork is often associated with fatigue, stress, and various health problems. Moreover, stress due to excessive work is a general problem many industries face and frequently influences workers' performance. Therefore, this research intends to examine the relationship between work stress and workers' performance, particularly in the manufacturing industry in Indonesia. The sample data are collected from ninety-three workers at the staff level across various companies in the manufacturing sector. The relationships between the determining factors and the Employee Productivity are evaluated by using the multivariate regression analysis. At the correlation coefficient of 0.972, we found a statistically strong relationship between the work environment and Stress to the workers' performance. The condition of low performance is attributed to the non-standard working hours and low quality of the relationship between colleagues and their superiors. Finally, the research recommends improved management of workers' stress by companies involving the adoption of flexible working hours and better communication between parties via discussion forums and meetings. Therefore, employees will be more motivated to improve work productivity.
Forecasting COVID-19 Cases in Indonesia, Malaysia, Philippines, and Vietnam Using ARIMA and LSTM Marina Wahyuni Paedah; Fergyanto E. Gunawan
CESS (Journal of Computer Engineering, System and Science) Vol 8, No 1 (2023): January 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v8i1.41209

Abstract

COVID-19 has severely impacted the global economy, including ASEAN countries. Various plans and strategies are still needed during the pandemic-to-epidemic transition period to minimize the risk of COVID-19 transmission. The research focuses on the total number of confirmed cases of COVID-19 in Indonesia, Malaysia, the Philippines, and Vietnam, which are among the ASEAN countries with the highest number of cases in Southeast Asia. Those countries have cultural similarities, where gathering with friends and family is an important part of social life. This research evaluates the ability of ARIMA and LSTM to predict COVID-19 cases in each country, using daily data from January 23, 2020 to October 22, 2022. Datasets published by Johns Hopkins University (JHU) and Our World in Data (OWID) are used, which are accessible through Github. Compared to ARIMA with  R2 of 0,8883 for Indonesia, 0,8353 for Malaysia, 0.97291 for the Philippines, and -3.105 for Vietnam, LSTM model can predict better in the four sampled ASEAN countries, with an R2 of 0.9996 for Indonesia, 0.9707 for Malaysia, 0.97291 for the Philippines, and 0.9200 for Vietnam.
ANALYZE QUEUE PERFORMANCE USING ARENA 16.0 SOFTWARE (Z Cinema Case Study) Fredlina Margaret; Sofwan Ali Fakhrudin; Ariska Dithya Pratiwi; Fergyanto E. Gunawan
JARES (Journal of Academic Research and Sciences) Vol 8 No 1 (2023): March 2023
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/jares.v8i1.2737

Abstract

Queues are often found in everyday life, such as waiting for cinema counters, check-in queues at airports and self-service cashier queues. Service facilities for a long time cause queues because they cannot meet the needs or capacity, so facility users have to wait. As in the example of the case of Cinema Z in Solo City has a maximum queue time of 13.6 minutes with a maximum number of queues of 11 people until served. This can cause customers to wait long enough to get movie tickets. This problem can be overcome by the need to manage the counter operator so that it can regulate when to open a new counter so that there is no queue. This research discusses the problem of queuing models at Cinema Z in Solo, Central Java Province. From the results of the analysis that can be known the performance values of the queuing system such as waiting time, number in, number out, dan number waiting.
IMPROVEMENT PRODUCTION LINE AND LINE BALANCING ON PROJECT AMAZON DD 400 G WITH USING VALUE STREAM MAPPING (STUDY CASE AT PT. XYZ) Ardiyanto, Ardi; Pangestu, Audy Raka; Oktarina, Rienna; Aryanti, Jenny; Yansyah, Sendra Pebri; Gunawan, Fergyanto E.
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v10i5.1119

Abstract

PT. XYZ Manufactures and distributes electrical products. XYZ Company there are some issue in production Line, for the assembly process on High-speed cables consists of 3 lines, namely the Cutting line, Assembly Line and Measurement Test Line. Where the Assembly Line has a fairly long process compared to other lines, with the occurrence of line imbalances in production causing idle time on other lines and the buildup of WIP inventory on the cutting line because the information between the cutting line and the assembly line data is not updated automatically. The purpose of this study is to provide a reference for improvement methods in the production process, such as kaizen and line balancing in the Assembly process, by recalculating the determination of the number of operators in production, relocating the assembly line to the Cutting line and Measurement test line, and developing a traceability system that integrates with each line. Researchers use Value stream mapping to find out the waste that occurs and the operation process chart to find out which processes need improvement. The results of this study resulted in an optimal line balance method and the optimal number of operators used for the manufacture of High-speed Cables, which can reduce production cycle time to 90.98 minutes from the previous 115.01 minutes and operator requirements to 29 operators from the previous 40 operators.
The Best Time Series Model For Elotex Demand Forecasting Fitra, Zhakia Irsalina; Gunawan, Fergyanto E.; Nensi, Sri Wahyu
Greeners: Journal of Green Engineering for Sustainability Vol 2 No 2 (2025): Journal of Green Engineering for Sustainability
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jges.v2i2.275

Abstract

Inventory management is carried out to ensure the accuracy of raw material stock in the warehouse. In a chemical raw material distribution company, stockpiling or shortages of raw materials often occur due to fluctuating customer demand. The company is at risk of indirect losses if the product is not sold immediately or if it becomes unavailable. When products are not sold promptly, there is a potential loss due to the limited shelf life of the goods. On the other hand, when products are not available, the company risks losing its customers. The objective of this study is to design a time series model to predict the quantity of chemical raw materials by comparing the accuracy of the Moving Average, ARIMA, and ARMA models. The comparison results will be based on historical demand data for one of the company's products. The product selected in this study is the chemical raw material Elotex, which has the highest demand. The sample data used spans from 2015 to 2023 in daily units. The selection of the best method in this study is determined by considering the model with the lowest RMSE (Root Mean Square Error) value. The research results show that the RMSE value for the Moving Average (MA) model is 3052.7560, the ARIMA model is 4247.9554, and the ARMA model is 4241.8059. Thus, the Moving Average (MA) model, having the lowest RMSE value, is the most accurate model for forecasting the purchase of Elotex chemical raw materials.
Application of Discrete-Event Simulation to Increase Machine Availability – A Case Study in Cigarette Filter Manufacturing Hidayat, Lutfi; Teresa, Teresa; Molina, Prima; Gunawan, Fergyanto E.
Jurnal Pendidikan Tambusai Vol. 8 No. 1 (2024): April 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v8i1.12933

Abstract

Penelitian ini menjawab tantangan yang dihadapi industri filter rokok dalam mengelola perubahan produksi yang sering terjadi, sehingga mempengaruhi produktivitas di tengah meningkatnya permintaan akan beragam produk. Perusahaan ini menggunakan Simulasi Peristiwa Diskrit (DES) untuk mengoptimalkan pemanfaatan mesin, khususnya menargetkan periode pergantian yang berkepanjangan untuk meningkatkan daya saing. Studi ini meninjau kontribusi terkini dalam penerapan DES pada proses manufaktur, dengan menekankan kemanjurannya dalam meningkatkan efisiensi. Metode penelitian melibatkan tiga fase utama: studi proses yang komprehensif, simulasi proses manufaktur, dan peningkatan skenario sistematis. Melalui studi kasus terperinci mengenai pembuatan filter rokok, makalah ini menunjukkan penerapan praktis DES untuk meningkatkan proses pergantian. Dengan membandingkan berbagai skenario, studi ini mengidentifikasi solusi paling efektif, yang menghasilkan peningkatan signifikan sebesar 35,8% dalam operasi penggantian bagian selama konstruksi mekanis. Peningkatan ini setara dengan pengurangan waktu pergantian sebesar 2,2 jam. Penerapan skenario yang dioptimalkan terbukti berperan penting dalam meningkatkan ketersediaan alat berat secara keseluruhan, sehingga memberikan kontribusi positif terhadap efisiensi operasional industri.
Co-Authors Anak Agung Ngurah Perwira Redi Ardiyanto, Ardi Ariska Dithya Pratiwi Aryanti, Jenny Benfano Soewito Candra, Sevenpri Candra, Sevenpri Deasy Lastya Sari Fitra, Zhakia Irsalina Fredlina Margaret Gunawan, Jeanifer Hapsara, Manik Hartono Wijaya Helen Storyna Hidayat, Lutfi Ito Setiawan Jeanifer Gunawan Jeklin Harefa Kanyadian Idananta Kusnandar, Erwin Livia Ashianti Manik Hapsara Marina Wahyuni Paedah Molina, Prima Muhammad Asrol Nensi, Sri Wahyu Nobumasa Sekishita Novendra, Rizki Oktarina, Rienna Pangestu, Audy Raka Retno Waluyo Ribka Intan Putri Sinaga Sofwan Ali Fakhrudin Susanto Rackman Teresa, Teresa Wanandi, Krisantus Wizi Dewi Taniasi Yansyah, Sendra Pebri Yudy Purnama