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Journal : Jurnal Mantik

The Application of Technology Acceptance Model for User Perception of Odoo Information System: The Application of Technology Acceptance Model for User Perception of Odoo Information System Haryani Haryani; Rahmat Hidayat; Titik Misriati; Instianti Elyana
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The strategic role of information systems is to help management in providing information that can support decision making. Companies need to think about how information systems that are already owned and will be developed to achieve success. The purpose of this study is to predict user acceptance of Odoo information system at PT. Cardig Anugrah Sarana Catering (CASC) using the Technology Acceptance Model (TAM) based on the effect of perceived ease of use, perceived usefulness and the addition of perceived user attitudes (attitude toward using) to Odoo information systems. The results of this study that the use of Odoo information system can be well received by users of information systems in PT. Cardig Anugrah Sarana Catering.
INFORMATION AND POPULATION SERVICE SYSTEM IN SLAWI WETAN VILLAGE Cucu Ika Agustyaningrum; Haryani; Yosep Tajul Arifin; Warjiyono
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Slawi Wetan Village really needs an information system that supports and provides satisfactory services for its citizens. For this reason, the author tries to make a final project on service and population information systems in Slawi Wetan Village, which until now has not been computerized. The existing system in Slawi Wetan Village is still done manually, starting from the service for covering letters of ID cards, family cards, and transfer letters to those relating to population services, population data errors, and making reports. It is possible that during the process there is an error in recording, less accurate information exists. The best solution to solving problems at the Slawi Wetan sub-district office is a computerized system. An effective and efficient activity can be achieved in supporting activities in the kelurahan. In this information system, the method used is waterfall, and in its implementation it uses the PHP programming language and MySQL as the database. Based on the results of the study, it can be concluded several things, namely: this software can be used to handle the population service process, information about the village, and knowing population data, this system can also provide print reports of village cover letters.
Classification of Tsunami Potential Based on Earthquakes in Indonesia Using the C4.5 Algorithm Eni Irfiani; Arnoldus Pius Purnomo Raben Galla; Vivien Sufi Hadi; Muhammad Iqbal Syaputra; Sriyadi; Haryani; Dio Okta Rovelino
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i3.3342

Abstract

Natural disasters are natural phenomena that are difficult to prevent or avoid. The tsunami disaster caused by the earthquake was a natural disaster with a large impact with many casualties and material and non-material losses. One of the efforts to help deal with the tsunami natural disaster with the help of the Data Mining method is to classify the potential for a tsunami caused by an earthquake in Indonesia based on the BMKG dataset so that the community and government are alert and able to reduce the impact. Classification technique to predict the potential occurrence of tsunami waves generated by earthquakes in Indonesia by applying the C4.5 algorithm. The results of data processing obtained a prediction of the potential for a tsunami based on the classification of the attribute magnitude of the earthquake strength at sea (SR) and the area where the earthquake occurred (KM). The results of model testing using the confusion matrix to classify the potential for a tsunami show an accuracy value of 99.96%.