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Finite State Automata pada Vending Machine Pembuat Teh Otomatis Virda Mega Ayu; Windu Gata; Jordy Lasmana Putra; Frieyadie; Hafifah Bella Novitasari
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v6i4.564


Vending machines are one form of technological development. In Indonesia, the type that is often found is a vending machine, a type of soft drink with several choices. Seeing the business opportunities that exist in the contemporary beverage sector, in this research, Finite State Automata (FSA) is applied to automatic tea-making vending machines. FSA is a mathematical model that can accept input and output from the same State. This automatic tea vending machine can produce 6 types of tea and 4 choices of toppings as a complement. This vending machine is equipped with upsize glass facilities from medium to large sizes. For payment, this vending machine provides cash and Cashless options. In the application of the FSA concept, this study conducted a State FSA trial using JFLAP. So that with the application of the FSA concept, it becomes one of the alternatives in designing an automatic tea making vending machine.
Perancangan Modul Persetujuan Otomatis dan Klasifikasi pada Sistem Persetujuan Lapor Diri Pensiun Menggunakan FSA Harianto; Windu Gata; Virda Mega Ayu; Achmad Bayhaqy
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 1 (2023): JANUARY-MARCH 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i1.626


Retired Dana Pensiun Perkebunan Defined Benefit Pension Plan (PPMP) participants are required to certify annually that they still meet the criteria for being a valid pensioner. The retiree uses the Dapenbun online application to take a photo of himself and her ID card and wait for the data to be processed by the administrator. Pensioners who do not report will have their pension entitlements suspended. The number of retirees managed by the Plantation Pension Fund is over 216,000, and managers are overwhelmed with approval at the start of the re-data period. For this reason, authors design systems that can run automated approval and classification systems to facilitate data approval. Applying the FSA concept to this system reduces the processing of participant data as automation is applied to the first process of automatic termination of pensions for children aged 21 and over, second data with criteria for automatic approval. It will be faster. Categorizing data reduces approval errors and makes it easier for users to approve data.