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All Journal Jurnal AKSI (Akuntansi dan Sistem Informasi)
Canggih Pamungkas
Politeknik Indonusa Surakarta
Computer Science & IT Economics, Econometrics & Finance

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Open Source Based Enterprise Resource Planning Canggih Pamungkas; Dwi Iskandar
Jurnal AKSI (Akuntansi dan Sistem Informasi) Vol. 6 No. 1 (2021)
Publisher : Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/aksi.v6i1.12

Abstract

In the era of the 4.0 industrial revolution, companies are trying to implement information technology to increase competitive competitiveness. Information technology is implemented within the company to increase productivity and help achieve quality, time standards, and satisfaction for consumers and employees, wherein business this is manifested in a set of systems consisting of information systems and supporting infrastructure. One solution is to implement a system to manage all company resources or what is called an Enterprise Resource Planning (ERP) system. Implementing an ERP system requires high costs and is highly dependent on the vendor. The purpose of this research is to build an ERP system on an open-source basis so that it can be used by middle to lower enterprises as an alternative to ERP systems to support the company's operations. The ERP system was developed using the waterfall system development method. The result of this research is the development of an ERP system based on open source. The conclusion of this research is that the ERP system can be configured according to the needs of small and medium scale companies. Can record documentation of company operational activities. The centralized database system provides benefits for companies to view data on business operations. Suggestions given for further research are to develop warehouse management and material management modules.
Application of Fossil and Artefact Collection in The Human Reservation Center Sangiran of Sragen Krikilan Cluster Based on Android Edy Susena; Canggih Pamungkas; Nurul Khotimah
Jurnal AKSI (Akuntansi dan Sistem Informasi) Vol. 5 No. 1 (2020)
Publisher : Politeknik Negeri Madiun

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Abstract

Sangiran is the biggest early man site in Indonesia which has an important value such as human evolutions, culture, early fauna, and its environments. The evidence of the living past of early man sees through fossil collection, artifact, and environment. Sangiran collections save in Sangiran Early man Museum, under the management of the Preservation Center of Early Man Site Sangiran. Sangiran site is recognized as a World Cultural Heritage that has a problem in disseminating information about its important value. There are still many people who don't know about the important value of Sangiran. The result of the research, the writer makes a mobile informative system that is "Application of the Introduction of Fossil and Artefact Collection in the Preservation Center of Early Man Sangiran Site Cluster Krikilan Based on Android". The advantage of this system is it can be an introduction media by the Preservation Center of Early Man Site Sangiran which only used with Android, meanwhile the weakness is it can only be operated on Android, not yet able to iOS and desktop.
Classification Analysis Of Regional Characteristics Using Convolutional Neural Network On Satellite Image Canggih Pamungkas; Edy Susena
Jurnal AKSI (Akuntansi dan Sistem Informasi) Vol. 7 No. 1 (2022)
Publisher : Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/aksi.v7i1.260

Abstract

One of the developments of Machine Learning technology is Deep Learning which uses an algorithm based on mathematical concepts that work like the human brain. An example of the use of deep learning is for digital image processing. Image Processing is used to identify, classify objects quickly, precisely, and can process multiple data simultaneously. In this study, an analysis of the classification of regional characteristics will be carried out. Regional characteristics are divided into two aspects, namely water areas and land areas. The land area is divided into mountains, highlands, lowlands, and valleys. While the territorial waters include straits, bays, rivers, and lakes. Classification will be done using one of the algorithms from Deep learning used in image processing, namely Convolutional Neural Network (CNN). The CNN algorithm consists of 3 main layers, namely Convolutional Layer, Pooling Layer, and Fully Connected Layer. In this study using CNN architecture with a combination of 3 Convolutional Neural Networks and 2 Fully Connected Layers. At the stage of making a regional characteristic classification system using deep learning, there are several main process stages, namely data collection, system design, training, and testing. The processed dataset is a regional image dataset originating from the satellite.
Co-Authors DWI ISKANDAR Edy Susena Nurul Khotimah