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All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Andri, A
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

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Application of the LSTM Algorithm in Predicting Urea Fertilizer Production at IIB Plant PT. Pupuk Sriwidjaja Palembang Awaludin, Aziz; Ferdiansyah, F; Andri, A; Oktarina, Tri
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.704

Abstract

PT. Pupuk Sriwidjaja Palembang is a pioneer of fertilizer manufacturers in Indonesia. One of the plants at PT. Pupuk Sriwidjaja Palembang, namely the IIB urea plant, has been operating normally since 2017, thereby the data of production results has been collected for more than five years (time series data). The collected data can be used to make predictions of future production using the LSTM (Long Short Term Memory) model. LSTM is an artificial neural network architecture that is suitable for processing sequential data. The research objective to be achieved is to produce a production prediction model using LSTM modeling. Data collected over five years was divided into training data and testing data through data composition trials. The LSTM model training was carried out with a training data composition of 70% of the total data, batch size 64, and epoch 200. Then testing was carried out with data testing as much as 30% of the total data using RMSE and MAPE as model quality assessment parameters. Based on test results, the LSTM model is able to predict production with an RMSE of 11.08 and a MAPE of 6.39%.
Application of the LSTM Algorithm in Predicting Urea Fertilizer Production at IIB Plant PT. Pupuk Sriwidjaja Palembang Awaludin, Aziz; Ferdiansyah, F; Andri, A; Oktarina, Tri
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.704

Abstract

PT. Pupuk Sriwidjaja Palembang is a pioneer of fertilizer manufacturers in Indonesia. One of the plants at PT. Pupuk Sriwidjaja Palembang, namely the IIB urea plant, has been operating normally since 2017, thereby the data of production results has been collected for more than five years (time series data). The collected data can be used to make predictions of future production using the LSTM (Long Short Term Memory) model. LSTM is an artificial neural network architecture that is suitable for processing sequential data. The research objective to be achieved is to produce a production prediction model using LSTM modeling. Data collected over five years was divided into training data and testing data through data composition trials. The LSTM model training was carried out with a training data composition of 70% of the total data, batch size 64, and epoch 200. Then testing was carried out with data testing as much as 30% of the total data using RMSE and MAPE as model quality assessment parameters. Based on test results, the LSTM model is able to predict production with an RMSE of 11.08 and a MAPE of 6.39%.
Sistem Informasi Supply Chain Management Berbasis Web di Apotik Prima Angel Rahman, Muhamad; Herdiansyah, Muhammad Izman; Abdillah, Leon Andretti; Andri, A
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 1 (2026): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i1.950

Abstract

The inventory information system is a digital platform created to make it easier to manage inventory. Technological advances have encouraged business actors to adapt and apply it to their business. Prima Angel Pharmacy is a pharmacy that provides various types of medicines that are registered with BPOM (Food and Drug Supervisory Agency). In managing drug supplies, Prima Angel pharmacies still use conventional methods, which have the risk of errors in recording drug supplies, loss of report documents and damage to report documents regarding drug supplies. To support the process of managing drug supplies well and efficiently, as well as minimizing the risk of harm to the Prima Angel pharmacy, the author designed and built a website-based inventory information system. Having a website-based inventory information system helps make it easier for Prima Angel pharmacies to manage drug supplies, minimize errors in recording drug supplies, and anticipate drug supply shortages. Apart from that, with this digital platform, Prima Angel pharmacies can access reports related to drug supplies quickly and precisely based on accurate data.
Co-Authors Awaludin, Aziz Ferdiansyah Ferdiansyah Ferdiansyah, F Leon Andretti Abdillah Muhammad Izman Herdiansyah Oktarina, Tri Rahman, Muhamad