Antivirus : Jurnal Ilmiah Teknik Informatika <p>Memuat hasil penelitian dan kajian kritis bidang teknologi informasi, teknlogi informasi elektronik, inovasi dan rekayasa informatika.</p> en-US <div class="page"> <p>Authors who publish with this journal agree to the following terms:</p> <ol> <li>Copyright on any article is retained by the author(s).</li> <li>Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.</li> <li>Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.</li> <li>Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.</li> <li>The article and any associated published material is distributed under the&nbsp;<a href="" rel="license">Creative Commons Attribution-ShareAlike 4.0 International License</a></li> </ol> </div> (Riska Dhenabayu, S.Kom., M.M.) (Riska Dhenabayu, S.Kom., M.M.) Wed, 20 May 2020 00:00:00 +0000 OJS 60 ANALISIS DAN PERANCANGAN DECISION SUPPORT SYSTEM PENYALURAN BANTUAN PENYANDANG MASALAH KESEJAHTERAAN SOSIAL (PMKS) MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) <p><strong><em>Abstract</em></strong><strong> : </strong><em>Through Social Welfare Law No. 11 of 2009 and PERMENSOS 08 of 2012, the government made efforts to improve the social welfare of PMKS (People with Social Welfare Problems). So far, PMKS participants have still used manual identification, so there is a lack of acceptance or acceptance by PMKS participants. Participation of participants. Then an alternative solution using DSS. Then alternative solutions can use DSS. For reception to be targeted, it is necessary to use ranking methods or which order is more priority in receiving assistance. Before that, it is necessary to do an interview &amp; observation of related parties about what categories and criteria the community enters into PMKS members. Then to find out their priorities, in this study using the Weighted Product calculation method. The design of this DSS uses 12 PMKS Categories, each of which has criteria, and then is calculated. The results from the lowest to highest values ​​can be seen in each of the PMKS Categories. Later it will be seen who is more priority per category.</em></p> <p><em>The highest final acquisition value (V) is in the neglected children category 0.1503, the disabled children category 0.3610, the elderly abandoned category 0.1725, the disability category 0.1141, the socioeconomic-prone women category, and the socially difficult family category psychological 0,2301.</em></p> <p>&nbsp;</p> <p><strong><em>Key words </em></strong><em>: Decision Support System, PMKS,&nbsp; Weighted Product (WP)</em><em>.</em></p> <p>&nbsp;</p> Ahmad Mukhlasin, Putri Taqwa Prasetyaningrum Copyright (c) 2020 Antivirus : Jurnal Ilmiah Teknik Informatika Mon, 20 Jul 2020 00:55:24 +0000 PENGENALAN POLA DAN TINGKATAN MOTIVASI PLAYER DALAM PENGGUNAAN GHOST TRADITIONAL GAME BERDASARKAN ANALISIS LOG DATA <p>Dalam bermain sebuah game, faktor motivasi dalam bermain game sangat memiliki peran penting terhadap keberlangsungan dari misi game tersebut untuk diselesaikan. Penelitian ini bertujuan untuk melaporkan hasil pengenalan pola player dan tingkatan motivasi player pada game yang telah dibangun bernama Ghost Traditional Game. Game tersebut menanamkan unsur Artificial Intelligence (AI) dengan jenis Decision Tree dan Finite State Machine berbasis desktop, terdiri dari sepuluh level dengan kategori kemudahan dan kesulitan yang telah diatur sedemikian rupa pada tahapan Game Design. Metode yang digunakan adalah matching player pattern detection yang direkam melalui log data dan motivation questionnaire technique. Sejumlah 30 orang player mengujicoba game ini, dengan tingkat usia yang berbeda-beda antara 12-22 tahun. Hasilnya adalah untuk pengenalan pola player terhadap iterasi masing-masing level yang digunakan pada saat game testing cenderung lebih cocok sama dengan prediksi pola pada game design, untuk motivasi player dalam menyelesaikan misi game dengan kategori sangat setuju, dan rata-rata waktu yang dibutuhkan oleh player untuk menyelesaikan misi game adalah 60 menit.</p> Aulia Akhrian Syahidi, Subandi Subandi, Yehezkiel Mulia Hutahayan Copyright (c) 2020 Antivirus : Jurnal Ilmiah Teknik Informatika Fri, 21 Aug 2020 00:00:00 +0000 PREDICTING THE AMOUNT OF PRODUCTION OF TERI USING FUZYY LOGIC TSUKAMOTO METHOD IN CV.MAHERA <pre id="tw-target-text" class="tw-data-text tw-text-large XcVN5d tw-ta" dir="ltr" data-placeholder="Terjemahan"><span lang="en">Production is one of the activities carried out in a company, especially CV. Mahera engaged in the processing of export quality dried anchovy. Anchovy is one of the fisheries commodities that have high economic value and is a commodity in the processing of fishery products in CV. Mahera. But the system that is done on the CV. Mahera is still done manually, namely through several processes of weighing, cooking, drying, framing and sorting. so in determining the amount of anchovies exports take a long time and income the amount of production is uncertain in each process. Thus in every time exports sometimes can not meet the desired target by consumers. Therefore, the development of this system aims to apply the Tsukamoto fuzzy method to predict the amount of exported anchovy production based on the number of catches and the dry amount as input variables. The process is carried out by inputting the amount of catch and the amount of dry in the system will then display the results of production as output. The accuracy of the results of the assessment of this system between the original data (115 &amp; 101) with the calculated results (102.5 &amp; 99.25) the highest difference is 12.5 and the lowest difference is 1.75. Based on testing this application it can be seen that the prediction results from the application of the Tsukamoto fuzzy method meet the existing production amount. By using this application the company can predict production results faster than the manual process.</span></pre> Alisa Nalurita Copyright (c) 2020 Antivirus : Jurnal Ilmiah Teknik Informatika Tue, 25 Aug 2020 00:00:00 +0000 Decission Support System in America: A Global and Future Existence <p><em>The Industrial Revolution in America was influenced by technological development to become a highly developed country. Information technology combined with the Decision Support System (DSS) is able to give a new face to the application of technology in several fields, including: 1). Industry; 2). Health; 3). Agriculture; 4). Living environment ; 5). Military; and 6). Education. DSS was known in 1970 due to limitations in the development of technology for the military field. However, gradually the development of DSS can be applied in several fields. In this study using the Systematic Literature Review method with 4 stages of research, including: a). Research Questions; b). Inclusion Criterl; c). Identification of Papers; and D). Conclusions are carried out by grouping according to categories in certain years, including: 1). 1980-1990; 2). 1990-2000; 3). 2000-2010; and 4). 2010-2020. This research outlines an analysis of how the development of the use of DSS in various fields from year to year in America can be used as a policy maker and evaluating the use of technological trends in several fields. The results of this study are. The conclusion of this research is the field of industry and the health field is more dominant in use in the decision support system. Because the decision support system is very needed in the field. And as the time goes by, the use of the decision support system is increasingly reduced, even in the year 2010 to 2020, the use of a decision support system is called as artificial intelligence. Because artificial intelligence technology includes a decision support system in it. And artificial intelligence has a broader meaning is not merely a decision support system.</em></p> Novia Ratnasari, Dhani Wahyu Wijaya, Akrom Tegar Khomeiny, Aji Prasetya Wibawa Copyright (c) 2020 Antivirus : Jurnal Ilmiah Teknik Informatika Mon, 31 Aug 2020 00:00:00 +0000