Jurnal Mantik Volume 4, Number 4, Feb 2021, pp. 2613-2617 E-ISSN 2685-4236 https://iocscience.org/ejournal/index.php/mantik 2613 Accredited “Rank 4”(Sinta 4), DIKTI, No. 36/E/KPT/2019, December 13 th 2019. Jurnal Mantik is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Enhance Decision Support Systems Method of Measure Student Levels and Attitude Cigarette Danger for Health Based on AHP Fauzan Nurahmadi Prodi Ilmu Komputer, Ilmu Komputer dan Teknologi informasi, University Sumatera Utara,Medan E-mail: fauzan.nurahmadi@usu.ac.id A R T I C L E I N F O A B S T R A C T Article history: Received: 15/01/2021 Revised: 30/01/2021 Accepted: 15/02/2021 This paper described about study determining the criteria in determining criteria and alternatives for student level knowledge of the dangers of smoking to health by the use of decision support systems so that it is easier to determine criteria by using selection methods that make it easy to obtain information on a system built to manage data- data so as to make it easy for users and can produce clear and accurate information and can produce reports that are expected to help teachers, and principals in making and making the right decisions later. Keywords: Decision Support System (SPK), Danger of Cigarettes, Health. Copyright © 2021 Jurnal Mantik. All rights reserved. 1. Introduction The very rapid development of information technology in this globalization era enables decision making and presentation of information to be carried out quickly and accurately. By having good and reliable information technology, it will certainly produce quality information that is in accordance with the current development of computer users. To analyze level and attitude of knowledge about the dangers of smoking to health in determining the extent to which information is carried out with several steps use of super desicion software The results of this study are in the form of criteria and alternatives that will determine information about the dangers of smoking for health. The process of determining criteria and alternatives starts from the establishment of a Decision System which is preliminary data from several attributes, then is formed using the superdesicion software by using criteria and alternatives in facilitating the determination of the final outcome which will become knowledge [1] Now the Decision Support System (DSS) can apply alternative choices to decision making. Whatever and however the process is, With AHP, a person can organize opinions and intuition by means of logic using hierarchy and include judgments based on understanding and experience. This approach can accept uncertainty factors and allow change so individuals and groups can face all the problems the resulting answers can be tested for sensitivity change judgment. Problems are solved into smaller constituents so that decision makers only make simpler comparative judgments through the hierarchy to arrive at all priority priorities for action. The advantages of AHP compared to the others are due to the existence of hierarchical structures as a consequence of the selected criteria to the most detailed sub-criteria. This model can process qualitative and quantitative data, so the complexity of the problems that surround us can be detected properly by this AHP model. In addition, AHP has the ability to solve multi-objective and multi-criteria problems based on comparing the preferences of each element in the hierarchy. So this model is a comprehensive decision making model. The ability of the AHP method used here is in consistency analysis and sensitivity analysis. Consistency analysis is aimed at the priority hierarchy that is built. While the sensitivity analysis is intended to see the effect of each element on the priority hierarchy that is built. Research using the AHP method has been carried out such as: [2] Applying the Analytical Hierarchy Process for Student Profile Analysis of the results of the study reveals that AHP as a multi-criteria technique is an attractive palliative solution if the data is insufficient and can be identified and grouped which contributes to an increase in student failure and dropout rates. [3] His research found that there is an urgent need for any industrial problem that applies the AHP method because, among twenty-two cases in various industries, AHP is combined with other methods to improve the results. Otherwise, research results will be inconsistent. [4] Using PCA principal component analysis To increase the performance evaluation index to be more accurate in evaluations to cut the number of evaluation indexes, and because PCA itself has problems using only data