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All Journal Nusantara Science and Technology Proceedings Jurnal INFOTEL
Partoyo Partoyo
Universitas Pembangunan Nasional Veteran Yogyakarta, Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology

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Achieving Agile Leadership in Digital Era Study Case at State of Defense University Oryza Tannar; Indrawati Yuhertiana; Partoyo
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3391

Abstract

This research problem is triggered by changes occurring in various fields caused by technology, health, and the environment. Many companies are forced to suffer losses and even close because they cannot keep up with the changes. The organization slowed down and was eventually abandoned. Therefore, it takes a leader who is agile as well as quick to respond to make decisions immediately. The long-term goal of this research is to build organizational resilience through agile leadership which is the key to saving the organization in times of crisis. The specific target to be achieved is to form a model for staff development at 3 universities in Indonesia that have the same character as state defense campuses, namely UPN “Veteran” Jakarta, UPN “Veteran” Yogyakarta, and UPN “Veteran” Jawa Timur. The method used is a sequential mixed method approach. This study aims to examine the effect of early work education (induction training) and the character of defending the country through employee engagement in agile leadership in the first year. In the second year, this research conducts an in-depth elaboration of employee-engagemen. The output target of this research is published in reputable international journals which in the first year are planned to be published in journals. The TKT of this research is to develop the model so that it is at level 2-3. This research is in accordance with RIRN with the theme of digital economy and also contributes to supporting the achievement of KPI because it involves students, IKU because it involves outside researchers and IKU because the output is a reputable international journal.
LSTM forecast of volatile national strategic food commodities Herlina Jayadianti; Vynska Amalia Permadi; Partoyo Partoyo
JURNAL INFOTEL Vol 15 No 4 (2023): November 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i4.1037

Abstract

Using the Long Short-Term Memory (LSTM) forecast, this study suggested a short-term projection model for national critical food pricing commodities. The model was trained using historical time-series data from each commodity price over the previous three years. The results demonstrated that the proposed LSTM architecture model was generalizable to all commodities and performed well in the majority of cases. This result indicates that the model is resilient and can be used to forecast commodity prices and offer accurate forecasts for most of the ten volatile national strategic foods, with an error value of less than 0.01 and an accuracy value of >95%. The model, however, failed to recognize the pricing pattern in cooking oil and beef commodities, both of which had increasing trend patterns. This shows that the model may be unable to effectively estimate commodity prices in the face of fast price fluctuations. The magnitude and quality of the dataset hampered the investigation. The time period selected also influenced the study. Future research should employ a more extensive and diversified dataset to increase the model's performance, allow it to learn more patterns and make more accurate predictions, and could use a more extended lookup date to improve forecast accuracy. This would enable the model to account for more recent pricing changes. Despite the limitations, the results of this study are promising and could be used to develop a more accurate and reliable food price prediction model. Policymakers and stakeholders could use the model to make informed food prices and inflation decisions.
Co-Authors Herlina Jayadianti Indrawati Yuhertiana Oryza Tannar Vynska Amalia Permadi