Application Design to Calculate Employee Salary In Truth And Calculus Table Learning

Fanny Ramadhani, Dimas Prayoga, Ravindra Singh, Dina Aulia, Ayu Sekar

Abstract


Informatics logic is a compulsory subject students especially in propositional calculus material. Proposition calculus is generally studied by various groups of students, from high school to college level. Proposition calculus studies the true (True / False) value of a proposition. Truth table is a tool or table used to provide values with certain rules. The truth table is a table used to see the truth value of a premise / statement. To complete a proposition truth table, we must first find out how many different statements the table contains. This step is absolutely necessary so that there are no errors in solving the problem. Therefore, the authors are interested in making an application for calculating employee salaries with the culpulus proposition method and truth tables that can be used to solve the problem of working on propositions manually, so as to produce accurate truth values. , which at the same time can be used as a medium for student learning

Keywords


Propositional calculus, True/False

Full Text:

PDF

References


Al-Khowarizmi, A. K., Nasution, I. R., Lubis, M., & Lubis, A. R. (2020). The effect of a SECoS in crude palm oil forecasting to improve business intelligence. Bulletin of Electrical Engineering and Informatics, 9(4), 1604-1611.

Prayudani, S., Hizriadi, A., Lase, Y. Y., & Fatmi, Y. (2019, November). Analysis Accuracy Of Forecasting Measurement Technique On Random K-Nearest Neighbor (RKNN) Using MAPE And MSE. In Journal of Physics: Conference Series(Vol. 1361, No. 1, p. 012089). IOP Publishing.

Ramadhani, F., & Ilona, D. (2018). Determinants of web-user satisfaction: using technology acceptance model. In MATEC Web of Conferences (Vol. 248, p. 05009). EDP Sciences.

Ramadhani, F., Ramadhani, U., & Basit, L. (2020). Combination of Hybrid Cryptography In One Time Pad (OTP) Algorithm And Keyed-Hash Message Authentication Code (HMAC) In Securing The Whatsapp Communication Application. Journal of Computer Science, Information Technology and Telecommunication Engineering, 1(1), 31-36.

Ramadhani, F., Zarlis, M., & Suwilo, S. (2020). Improve BIRCH algorithm for big data clustering. In IOP Conference Series: Materials Science and Engineering (Vol. 725, No. 1, p. 012090). IOP Publishing.

Syah, R., Nasution, M. K., & Elveny, M. (2021). Sensitivity of MAPE using detection rate for big data forecasting crude palm oil on k-nearest neighbor. International Journal of Electrical & Computer Engineering (2088-8708), 11(3).

Sari, I. P., Hutagalung, F. S., & Hutasuhut, B. K. (2020). Determination of Campus Promotion Policy Strategy Applied The Profile Matching Method. Journal of Computer Science, Information Technology and Telecommunication Engineering, 1(1), 17-23.

Hutagalung, F. S., Mawengkang, H., & Efendi, S. (2019). Kombinasi Simple Multy Attribute Rating (SMART) dan Technique For Order Preference by Similarity To Ideal Solution (TOPSIS) dalam Menentukan Kualitas Varietas Padi. InfoTekJar: Jurnal Nasional Informatika dan Teknologi Jaringan, 3(2), 109-115.

Sari, I. P., Hutagalung, F. S., & Hutasuhut, B. K. (2020). Analisa Model Pemanfaatan Jaringan Komputer Yang Efektif untuk Peningkatan Produktivitas pada Jaringan LAN Universitas Muhammadiyah Sumatera Utara. InfoTekJar: Jurnal Nasional Informatika dan Teknologi Jaringan, 5(1), 193-197.

Hutagalung, F. S., Sari, I. P., & Hutasuhut, B. K. (2020). Analisa SWOT Strategi Perencanaan Pemasaran Fakultas Ilmu Komputer dan Teknologi Informasi Universitas Muhammadiyah Sumatera Utara. InfoTekJar: Jurnal Nasional Informatika dan Teknologi Jaringan, 5(1), 198-201.

Lubis, A. R., Lubis, M., & Listriani, D. (2019, August). Big Data Forecasting Applied Nearest Neighbor Method. In 2019 International Conference on Sustainable Engineering and Creative Computing (ICSECC) (pp. 116-120). IEEE.

Lubis, A. R., & Prayudani, S. (2020, October). Optimization of MSE Accuracy Value Measurement Applying False Alarm Rate in Forecasting on Fuzzy Time Series based on Percentage Change. In 2020 8th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-5). IEEE.

Lubis, M., Fauzi, R., Lubis, A. R., & Fauzi, R. (2018, August). A Case Study of Universities Dormitory Residence Management System (DRMS) in Indonesia. In 2018 6th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-6). IEEE.




DOI: https://doi.org/10.30596/ijessr.v2i1.6595

Refbacks

  • There are currently no refbacks.