A - Computer Sciences and Information Technologyhttp://repository.unmul.ac.id/handle/123456789/7692024-03-28T13:42:00Z2024-03-28T13:42:00ZComparison of waspas and vikor methods to determine non-cash food assistance recipientsRamadiani, RamadianiFahrozi, Muhammad LuthfiJundillah, Muhammad LabibAzainil, Azainilhttp://repository.unmul.ac.id/handle/123456789/555402023-11-15T09:54:11Z2023-11-01T00:00:00ZComparison of waspas and vikor methods to determine non-cash food assistance recipients
Ramadiani, Ramadiani; Fahrozi, Muhammad Luthfi; Jundillah, Muhammad Labib; Azainil, Azainil
Non-Cash Food Assistance or can be abbreviated as BPNT is a government program of the Republic of Indonesia by distributing non-cash food assistance to beneficiary families. The process of distributing BPNT still needs to be done with the data and criteria set, because the existing BPNT distribution is considered not right on target. We need a method that can help provide an objective decision. One method that can be used in making decisions is the Weighted Aggregated Sum Product Assessment (WASPAS) and Vlsekriterijumsko Koompromisno Rangiranje (VIKOR) methods. The results of the calculations from the two methods will then be chosen which is the best, by conducting sensitivity tests and accuracy tests. This study uses 100 sample data and 16 criteria. The results of the sensitivity test are 9.780678997% for the WASPAS method and -0.0759182% for the VIKOR method, while the results of the accuracy test show that both methods have the same level of accuracy, which is 80%. Based on the comparison of the sensitivity test and accuracy test of the two methods, the WASPAS method is considered more accurate in determining the recipients of the BPNT program because the WASPAS method has a higher sensitivity test value than the VIKOR method.
2023-11-01T00:00:00ZAn Augmented Reality on the Introduction of Escherichia Coli Bacteria that Cause Diarrhea Using the Marker Based Tracker MethodBambang Firdaus, MuhammadBudiman, EdyTejawati, Andihttp://repository.unmul.ac.id/handle/123456789/540352023-05-27T21:29:27Z2022-03-26T00:00:00ZAn Augmented Reality on the Introduction of Escherichia Coli Bacteria that Cause Diarrhea Using the Marker Based Tracker Method
Bambang Firdaus, Muhammad; Budiman, Edy; Tejawati, Andi
Indonesian current educational curriculum demands learning media for the high school degree. The use of learning tools that utilize technology nowadays is more emphasized to get better learning comprehension. Augmented reality (AR) is virtual information to a direct or indirect view of a physical object. This study aims to apply Augmented Reality technology using the Marker Based Tracking method, which is intended as a learning tool for introducing bacteria, especially Escherichia Coli bacteria, to make it easier and fun to understand. This study uses data collection methods that include literature study, interviews, and questionnaires. Approach methods include designing, creating, and testing Augmented Reality. The results of this Augmented app can help both teachers and students in the teaching and learning process as well as inspire the students to learn Biology for Escherichia Coli bacteria material
2022-03-26T00:00:00ZMachine vision for the maturity classification of oil palm fresh fruit bunches based on color and texture featuresHamdani, HamdaniSeptiarini, Aninditahttp://repository.unmul.ac.id/handle/123456789/521462023-04-28T08:38:52Z2021-01-01T00:00:00ZMachine vision for the maturity classification of oil palm fresh fruit bunches based on color and texture features
Hamdani, Hamdani; Septiarini, Anindita
2021-01-01T00:00:00ZDetection Of Road Damage Using Faster Regional-Convolutional Neural Network MethodSeptiarini, AninditaHamdani, Hamdanihttp://repository.unmul.ac.id/handle/123456789/520322023-04-27T04:17:29Z2022-11-01T00:00:00ZDetection Of Road Damage Using Faster Regional-Convolutional Neural Network Method
Septiarini, Anindita; Hamdani, Hamdani
2022-11-01T00:00:00Z