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All Journal JAIS (Journal of Applied Intelligent System) Journal of Economic, Bussines and Accounting (COSTING) Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Ilmiah Edunomika (JIE) Management Studies and Entrepreneurship Journal (MSEJ) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Bumigora Information Technology (BITe) Jurnal Inovasi Penelitian BUDGETING : Journal of Business, Management and Accounting Jurnal Abdimas Ilmiah Citra Bakti (JAICB) International Journal of Artificial Intelligence and Robotics (IJAIR) Jurnal Kewarganegaraan Jurnal Pengabdian Masyarakat Nusantara JAKA (Jurnal Akuntansi, Keuangan dan Auditing) Jurnal Ekonomi dan Manajemen (JEKMA) CEMERLANG :Jurnal Manajemen dan Ekonomi Bisnis Proceeding of The International Conference on Economics and Business Jurnal Sistim Informasi dan Teknologi Gemilang: Jurnal Manajemen dan Akuntansi Optimal: Jurnal Ekonomi dan Manajemen Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri Journal of Artificial Intelligence and Digital Business Jurnal Multidisiplin West Science West Science Business and Management West Science Journal Economic and Entrepreneurship Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Seminar Nasional Teknologi dan Multidisiplin Ilmu The Eastasouth Journal of Information System and Computer Science Science Information System and Technology Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Serat Acitya Jurnal Maisyatuna Jurnal Ekonomi, Manajemen, Akuntansi Synergy In Economic & Business Management (SEBM)
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Journal : JAIS (Journal of Applied Intelligent System)

Human Resource Development Through Knowledge Management System Rahayuningtyas, Tri Esti; Widyatmoko, Widyatmoko; Mintorini, Ery; Chandriana, Tri Dian
Journal of Applied Intelligent System Vol. 8 No. 1 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i1.7157

Abstract

In the era of globalization, knowledge within the company has become something that is very decisive for the success of a company. Knowledge Management System (KMS) as a key element in knowledge management, is an application system used by organizations to manage tacit and explicit knowledge as a platform for communicating information. Employee Cooperative (Kopkar) PT. Gudang Garam Tbk is a cooperative engaged in savings and loans under the auspices of PT. Gudang Garam Tbk Kediri which has a very important role in improving the welfare of employees. The advancement of science and technology is a new challenge for the HR & General Division to process the knowledge assets owned by each employee. As a result of the very accelerating effect of globalization, the emphasis on the importance of the quality of human resources (HR) is one response in responding to these changes. This research method uses data collection methods, data analysis and software development. While analyzing the knowledge management process into a client/server oriented system using the SECI model. From the report, 80% of the discussions that are often shared are in the category of cooperative management issues, and 20% discuss articles about the role of technology and how to grow productivity in an organization.
Poverty Modeling in East Java Province Using the Spatial Seemingly Unrelated Regression (Sur) Method Wibowo, Dibyo Adi; Hidajat, Moch Sjamsul; Widyatmoko, Widyatmoko
Journal of Applied Intelligent System Vol. 8 No. 2 (2023): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i2.8178

Abstract

Poverty is a complex problem because it relates to various aspects of human life. In Indonesia, there is one province that has a very high percentage of poverty, namely East Java Province. Although from year to year the poverty rate has decreased, when viewed from the national level it is still very far from the government's expectations of reducing the poverty rate. Cases of poverty can be modeled by Econometrics. Econometric models are often applied to problems involving one or more related equations. One method that can be used to solve several interrelated equations because there is a correlation error regression between one another, namely Seemingly Unrelated Regression which is usually abbreviated as SUR, in this case Spatial Seemingly Unrelated Regression (SUR-Spatial) is development that takes into account the spatial influence between locations. From the results of tests conducted in the SUR-Spatial Lagrange Multiplier model, the poverty data generated by the East Java Province is the SUR-Spatial Autoregressive Model (SUR-SAR). So with the SUR-SAR model it can be seen that the variable that has a significant effect on the percentage of poor people is the growth rate of Gross Regional Domestic Product based on the constant price of the minimum wage for each district, as well as the average length of school years. Meanwhile, the Poverty Depth Index has an effect because of the growth rate of Gross Regional Domestic Product on the basis of constant prices and the average length of schooling. The Poverty Severity Index is influenced by the growth rate of Gross Regional Domestic Product at constant prices and average years of schooling.
Predicting Gold Price Movement Using Long Short-Term Memory Model Nagata, Azaria Beryl; Hidajat, Moch Sjamsul; Wibowo, Dibyo Adi; Widyatmoko, Widyatmoko; Yaacob, Noorayisahbe Bt Mohd
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 1 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i1.10305

Abstract

Gold, as a valuable commodity, has been a primary focus in the global financial market. It is often utilized as an investment instrument due to the belief in its potential price appreciation. However, the unpredictable and complex movement of gold prices poses a significant challenge in investment decision-making. Therefore, this research aims to address this issue by proposing the use of the Long Short-Term Memory (LSTM) model in time series analysis. LSTM is a robust approach to understanding patterns and trends in gold price data over time. In the context of time series analysis, historical gold price data includes daily, weekly, and monthly datasets. Each model with its respective dataset is useful for identifying patterns in gold prices. The daily model achieves an MSE of 452.2284140627481 and an RMSE of 21.26566279387379. The weekly model achieves an MSE of 1346.1816584357384 and an RMSE of 36.69034830082345. The monthly model achieves an MSE of 11649.597907584808 and an RMSE of 107.93330305139747. With these RMSE results, the LSTM model can predict gold prices effectively. Based on the trained models, it can also be concluded that gold prices exhibit long-term temporal dependence.
Co-Authors A. R., Rasmawati Ainun Muhtadin Aissiyah, Nasyatul Alvina Dwi Andriani Andreas Dwi Setiawan Angel Firlyaningsrum Angel Firlyaningsrum Angel Frilyaningrum Aniza Chairani Aniza Chairani Anjarwati, Sri Anjasari, Triska Arief Setiawan Astian Cahyani, Ade Benicta, Aurellia Bhekti Eka Ferdianto Bonifacius Indriyono Bonifacius Vicky Indriyono Bonifacius Vicky Indriyono Bonifacius Vicky Indriyono, Bonifacius Vicky Cakranegara, Pandu Adi Chandriana, Tri Dian Chasanah, Amalia Nur Choerul Umam Choerul Umam Damanik, Syafrida Desyandri Desyandri Deysyelin Y.T.J. Wongkar Dhety Chusumastuti Diawati, Prety Dibyo Adi Wibowo Dwi Waliyatul Azizah Erna Erna Erna Kustyarini Ervina Febrianti Ery Mintorini Eva Yuniarti Utami Febrianur Ibnu Fitroh Sukono Putra Hanifah Nurul Muthmainah Hayu Lusianawati Hendy Tannady Hendy Tannady Ichwan Setiarso Iqlima Zahari Irwan Moridu Iswahyuningsih, Rr Iwan Ady Prabowo Jefriyanto, Jefriyanto Joni Wilson Sitopu Judijanto, Loso Lailani Fitria Loso Judijanto Mahardhani, Ardhana Januar Moch. Sjamsul Hidajat Monica Feronica Bormasa Muhammad Djauhari Muhammad Yudistira Arya Maulana Murini, Murini Nagata, Azaria Beryl Nanny Mayasari Natalinda Pamungkas Negara, Wana Pramudyawardana Kusuma Neili Winda Saharani Nelly Ervina Nia Sonani Nurhaifa Idris Pamungkas, Natalinda Pradipta Himawan, Mahadika Putri, Melly Anisa Qadriah, Laila Rachmawansyah, M. Sandia Rama Yudana Ratih K, Dewi Rifqi Ardiansyah, M. Jihatur Rizaldy, Mohammad Farhan Arick Sabila, Puji Chairu Sania Dinda Awalia Sayyidah Farhani Setiyono, Mochammad Raka Alwandany Stevani Tri Wahyu Putri suroso, amat Toni Wibowo Tri Esti Rahayuningtyas Umam, Choerul Widyatmoko Widyatmoko Wildan Mahmud Wiwin Andriana Yaacob, Noorayisahbe Bt Mohd Yustiqomah Yustiqomah Zahari, Iqlima Zumrotus Sholikhah