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Antivirus : Jurnal Ilmiah Teknik Informatika
Published by Universitas Islam Balitar Blitar
ISSN : -     EISSN : 2527337X     DOI : -
Core Subject : Science,
Computer Science & IT
Memuat hasil penelitian dan kajian kritis bidang teknologi informasi, teknlogi informasi elektronik, pengajaran, penelitian, aplikasi dan inovasi dan rekayasa informatika.
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol 14 No 1 (2020): Mei 2020" : 6 Documents clear
ANALISIS SWOT DALAM PENENTUAN BOBOT KRITERIA PADA PEMILIHAN STRATEGI PEMASARAN MENGGUNAKAN ANALYTIC NETWORK PROCESS Dwi Safiroh Utsalina; Liduina Asih Primandari
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 14 No 1 (2020): Mei 2020
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v14i1.889

Abstract

Decision Support System provides recommendations to stakeholders in making decisions,in order to carry out the management function of the organization (university). Marketing within the university carries out one of the main functions of management, namely Planning. Planning is taken to win the competition (to get new students). An increasing number of new students can be obtained with various marketing strategies as an alternative. However, not all marketing strategies are planned to be implemented in one student admission period,for this reason, a DSS approach is needed that is supported by several criteria so that it is expected to avoid stakeholders in determining subjective marketing strategies. Based on the predetermined criteria, it is necessary to determine the weight for each criterion, generally there are several ways to determine the weight of the criteria. SWOT analysis is one of the approaches used to obtain the weight of the importance of the criteria for alternatives. By using SWOT, it can provide an overview of the organization obtained, After determining the weight value of the organizational description (in this case the university) then the weight value obtained is calculated by ANP. The ANP method as an MCDM method is an extension of AHP with the concept of network construction, providing dependence between the components of the SPK, from criteria to sub-criteria, the dependence of criteria on alternatives and vice versa. Determined by determining the criteria, sub-criteria, alternatives, the weight of each component, the weight of the criteria written in a pairwise comparison to produce a supermatrix. The results of the study indicate that the SWOT can increase the objectivity of the process of determining the weight of the criteria in decisions which is indicated by an increase in the preference value of 19.3%
ANALISIS DAN PERANCANGAN DECISION SUPPORT SYSTEM PENYALURAN BANTUAN PENYANDANG MASALAH KESEJAHTERAAN SOSIAL (PMKS) MENGGUNAKAN METODE WEIGHTED PRODUCT (WP): STUDI KASUS : DI KELURAHAN SARIHARJO Ahmad Mukhlasin; Putri Taqwa Prasetyaningrum
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 14 No 1 (2020): Mei 2020
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v14i1.982

Abstract

Abstract : 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 & 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. 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. Key words : Decision Support System, PMKS, Weighted Product (WP).
PENGENALAN POLA DAN TINGKATAN MOTIVASI PLAYER DALAM PENGGUNAAN GHOST TRADITIONAL GAME BERDASARKAN ANALISIS LOG DATA Aulia Akhrian Syahidi; Subandi Subandi; Yehezkiel Mulia Hutahayan
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 14 No 1 (2020): Mei 2020
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v14i1.1027

Abstract

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.
MEMPREDIKSI JUMLAH PRODUKSI IKAN TERI MENGGUNAKAN FUZYY LOGIC METODE TSUKAMOTO PADA CV.MAHERA: MEMPREDIKSI JUMLAH PRODUKSI IKAN TERI MENGGUNAKAN FUZYY LOGIC METODE TSUKAMOTO PADA CV.MAHERA Alisa Nalurita
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 14 No 1 (2020): Mei 2020
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v14i1.1080

Abstract

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 & 101) with the calculated results (102.5 & 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.
RANCANG BANGUN LAMPU PORTABLE OTOMATIS MENGGUNAKAN RTC BERBASIS ARDUINO Muhamad Yusuf Iqbar; Kurnia Paranita Kartika Riyanti
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 14 No 1 (2020): Mei 2020
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v14i1.1115

Abstract

In everyday life, lighting is one of the basic needs, both in households, offices, and large industries. Therefore, the availability of lamps is very important. However, it is necessary to have a wise attitude in the use of this energy source of lighting. In daily activities at home, for example, many residents often forget to turn off the lights in the morning, when residents travel out of town, setting the lights on and off is a problem in itself, if the lights are not turned off it will result in a waste of electrical energy, but if it is turned off then at night it will be dark for days because the householder is not there. This often happens especially to urban residents. Therefore, automation is needed in regulating the use of electrical energy in lamps. By paying attention to this condition, the writer created an idea for a portable lamp that can be set on and off automatically and for the time it can be adjusted as needed. This portable lamp uses a voltage source from a battery so it can reduce waste of electricity energy from PLN. This automatic portable lamp is equipped with an Arduino Nano which functions as a lamp control controller, a Real Time Clock (RTC) module which functions as a timer to regulate the on and off lights, and a relay that functions as an automatic switch to turn on and turn off the lights according to the time read. on the RTC. The advantages of this portable lamp are in terms of practical packaging, it can be moved and placed anywhere as needed because it does not require an electricity connection from PLN. From the results of usage testing, this lamp can be used for 2-3 days with an active duration of 8 hours, so users don't have to worry about running out of energy sources.
DECISSION SUPPORT SYSTEM DI AMERIKA: SEBUAH EKISTENSI GLOBAL DAN MASADEPAN Novia Ratnasari; Dhani Wahyu Wijaya; Akrom Tegar Khomeiny; Aji Prasetya Wibawa
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 14 No 1 (2020): Mei 2020
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v14i1.1139

Abstract

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.

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