Wawan Nurmansyah
Universitas Katolik Musi Charitas

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APLIKASI ALAT BANTU PEMBELAJARAN VISUALISASI FINITE STATE AUTOMATA (Versi : Pembuktian Graph ke Tupel) Masayu Jamilah; Wawan Nurmansyah
Jurnal Informatika Vol 18, No 2 (2018): Jurnal Informatika
Publisher : IIB Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/ji.v18i2.1216

Abstract

Learning media that has been widely created and implemented in high schools and universities will certainly help students understand existing subjects, especially subjects related to theoretical arithmetic. Mathematical logic is certainly widely used in the development of computerization, computerization in the development of computer applications also has to do with arithmetic relations for the part of the process.Software engineering methods use prototypes to develop or develop system applications that have several steps, such as: Listen to Customer, Build / Revise mock-ups, Costumer Test. Completion of the stages of building automata learning applications is part of the development stage of the automata learning system application with the application of Finite State Automata (FSA).Application results with a GUI-based (User Interface Graph) design implemented to support the automata course material. Graphic automata application implementation to show the relationship between states resulting from the logic of the relationship results from each existing node. The resulting application has 2 important parts for the design stages, namely: process design (flowchart) and interface (Morkup). The results of all designs are further implemented with the Borlan Delphi visual programming language application. Testing with black box is done with a visual Graph verification scenario which is inputted with the suitability of the input and which is not to see the results of Tupel based on the graph that is successful and not successful. Keywords: automata, learning, application, Graph, Tupel.
MIKROTIK SOHO (Small Office Home Office) NETWORK WORKSHOP wawan nurmansyah; Achmad Alfian; Meylinda Mulyati; Klaudius Jevanda
Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA Vol 5, No 1 (2021): Vol 5, No 1 (2021)
Publisher : Yogyakarta State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.987 KB) | DOI: 10.21831/jpmmp.v5i1.35505

Abstract

Schools are generally used as places for formal community education, schools continue to evolve in terms of infrastructure development, human resources, especially teachers, and a curriculum system to keep up with the evolving times. Vocational High School prepares students who are ready to work, especially industries that need human resources who already have the required hard skills.Especially for the TKJ (computer network) concentration, students are given a workshop from the continuation of the socialization that had been previously held. The workshops are conducted online using video conferencing with the google meet application, applications such as power points and other application simulators are displayed by sharing the desktop view with workshop participants (students of SMK Xaverius 1 Palembang)Indicators for the assessment of workshop activities using a questionnaire and the results of several question points responded to by 22 students of SMK Xaverius Palembang. The highest percentage of questions "is the topic of activity interesting?" is at the 4th rate with a performance of 22.7%, the question "Material / material activity fading?" found at rate 5 with an achievement of 54.5%, the question "The delivery of the material / material is clear?" found at the 4th rate with a gain of 50%, the question "Is this activity generally interesting?" is at the 4th rate with a achievement of 54.5% and the question "Is this activity very useful?" there is the 5th rate with an achievement of 59.1%, with these results many of them have a positive attitude in this PkM activity.
Aplikasi Multi Platform Penerapan Algoritma Naive Bayes untuk Klasifikasi Keterlambatan Pembayaran Premi Asuransi Jorgi Antonius Karlia; Wawan Nurmansyah
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 7, No 1 (2022)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v7i1.11932

Abstract

Human carelessness can be one of the main factors in accidents. Knowing this situation, the insurance company takes the role as well as the opportunity from the consumers, to be the one who will bear the loss known as risk. The problem that often arises in insurance companies is the number of customers who are in arrears in paying premiums. In the procedures applicable to insurance, there is a grace period for payment of 30 days during which the customer/insured must pay a predetermined amount of premium and if the customer/insured does not pay the premium, the insurance policy will be canceled so that the insurance profit will be reduced and if it happens, it will be detrimental to the insurance. This research is conducted by applying the Naive Bayes algorithm using insurance customer data. The result of this study is a classification system for late payment of insurance premiums that can classify the status of premium payments for insurance customers. The system test results show that the system can classify the premium payment status of insurance customers with an accuracy rate of 82.5%, then the resulting precision level is 94.83% and the resulting recall is 86.39%.