http://jisai.mercubuana-yogya.ac.id/index.php/jisai/issue/feed Journal Of Information System And Artificial Intelligence 2021-11-16T10:49:37+00:00 Program Studi Sistem Informasi jisai@mercubuana-yogya.ac.id Open Journal Systems <p><strong>Journal of Information System and Artificial Intelligence (JISAI) </strong><span style="font-weight: 400;">diterbitkan </span> <span style="font-weight: 400;">oleh Program Studi Sistem Informasi, Fakultas Teknologi Informasi Universitas Mercu </span> <span style="font-weight: 400;">Buana Yogyakarta. JISAI memuat naskah hasil-hasil penelitian&nbsp;</span><span style="font-weight: 400;">dibidang Sistem Informasi, Teknologi Informasi dan Sistem Komputer. JISAI </span> <span style="font-weight: 400;">berkomitmen untuk memuat artikel berbahasa </span> <span style="font-weight: 400;">Indonesia yang berkualitas dan </span> <span style="font-weight: 400;">dapat menjadi rujukan utama para </span> <span style="font-weight: 400;">akademisi, peneliti </span> <span style="font-weight: 400;">dan praktisi dalam bidang </span> <span style="font-weight: 400;">Sistem Informasi, Teknologi Informasi dan Ilmu Komputer.&nbsp;</span></p> <p><span style="font-weight: 400;">Jurnal ini diterbitkan 2 kali dalam 1 tahun yakni pada bulan <strong>November</strong>&nbsp;dan&nbsp;<strong>Mei</strong>&nbsp;dengan periode&nbsp;<strong>penerimaan artikel sepanjang tahun</strong>. 10 artikel pertama yang lolos seleksi akan diterbitkan pada periode penerbitan yang paling dekat. Sedangkan, artikel ke-11 dan seterusnya akan diterima untuk diterbitkan pada periode yang akan datang. Artikel yang masuk ke jurnal ini akan di-<em>review</em>&nbsp;oleh mitra bestari sebelum diterbitkan. Proses&nbsp;<em>review</em>&nbsp;artikel dilakukan secara&nbsp;<em><strong>double blind review</strong></em>&nbsp;yang mana mitra bestari tidak mengetahui&nbsp;siapa penulis artikel tersebut dan juga sebaliknya penulis tidak mengetahui mitra bestari yang menilai artikel tersebut.</span></p> <p><span style="font-weight: 400;"><strong>Jurnal JISAI</strong>&nbsp;merupakan jurnal akses terbuka (<strong><em>open access</em></strong>) sehingga seluruh artikel yang diterbitkan oleh jurnal ini dapat diakses kapan saja dan di mana saja oleh siapa saja&nbsp;<strong>tanpa dipungut biaya</strong>. Selain itu, u<span class="" lang="id"><span class=""><span id="result_box" class="" lang="id">ntuk Submit dan Review Manuskrip adalah<strong> Bebas Biaya.</strong></span></span></span></span></p> <p>&nbsp;</p> <p>&nbsp;</p> http://jisai.mercubuana-yogya.ac.id/index.php/jisai/article/view/37 Analisis Faktor Keberhasilan Implementasi Mobile-Tix Menggunakan Model E-Ticketing Success Model 2021-11-16T09:02:01+00:00 ardhi billy ardhibilly@gmail.com Tri Lathif Mardi Suryanto trilathif.si@upnjatim.ac.id <p>Menurut O’Brien (2005) Internet adalah sebuah jaringan komputer yang berkembang pesat dan bermanfaat bagi berbagai macam kepentingan, mulai dari kepentingan bisnis, pendidikan, hingga ke dalam jaringan pemerintahan yang dapat saling berhubungan satu sama lain. Maka banyak perusahaan berlomba-lomba menciptakan sebuah aplikasi untuk memudahkan penggunanya melakukan pembelian tiket bioskop. Muncul sebuah aplikasi yaitu Mobile TIX. Aplikasi “M-TIX” ini sudah menjadi trend masa kini, perusahaan pertunjukan bioskop di Indonesia yang telah mengembangkan layanan pembelian tiket berbasis internet. Tujuan penelitian ini adalah mengetahui tingkat keberhasilan implementasi “Mobile TIX” di Surabaya. Model penelitian yang digunakan pada penelitian ini adalah ISSM (Information System Success Model) pengembangan model Delone and Mclean, dengan 6 (enam) variabel pengukuran yaitu System Quality, Information Quality,Service Quality,Intention to Use / Use, User Satisfaction, dan Net Benefits. Kuisioner dalam penelitian ini disebarkan kepada 110 pengguna aplikasi Mobile TIX menurut (Ferdinand, 2005) yang ada di Surabaya. Berdasarkan hasil analisis faktor keberhasilan Mobile TIX yaitu Kualitas pelayanan berpengaruh positif signifikan terhadap penggunaan, Kualitas pelayanan berpengaruh signifikan terhadap kepuasan penggunaan, Penggunaan berpengaruh signifikan terhadap kepuasan penggunaan, Kepuasan penggunaan berpengaruh signifikan terhadap keuntungan.</p> 2021-11-16T00:00:00+00:00 Copyright (c) 2021 Journal Of Information System And Artificial Intelligence http://jisai.mercubuana-yogya.ac.id/index.php/jisai/article/view/45 Sistem Pendukung Keputusan Pemilihan Laptop Untuk Kebutuhan Kuliah Metode Simple Additive Weighting (SAW) 2021-11-16T09:02:02+00:00 Muhammad Syahril Syahril3833@gmail.com Imam Suharjo Imam@mercubuana-yogya.ac.id <p>In this study, the authors aim to design and build a decision support system for election decisions on a laptop, the method I use is the Simple Additive Weighting (SAW) method. There are six criteria that the author uses, namely price, price, processor brand, hardiks, ram, VGA, screen size. The use of a Decision Support System (DSS) is expected to help prospective customers to more easily consider choosing a laptop that suits their wishes. Based on the 26 submitted data, 22 laptops (84.61%) were suitable and 4 laptops (15.38%) were unsuitable.</p> 2021-11-16T00:00:00+00:00 Copyright (c) 2021 Journal Of Information System And Artificial Intelligence http://jisai.mercubuana-yogya.ac.id/index.php/jisai/article/view/48 Sistem Pakar Identifikasi Penyakit Kambing Jawa Menggunakan Metode Forward Chaining 2021-11-16T09:02:02+00:00 Sri Muhammad Kusumantomo 17111078@student.mercubuana-yogya.ac.id Mutaqin Akbar mutaqin@mercubuana-yogya.ac.id <p>Goats in the livestock business are a promising business zone. Java goats, for example, Java type goats have a very expensive price, from young Java goats to old Java goats. The Javanese goat business is indeed very profitable, but this business is not without obstacles. There are so many obstacles faced by breeders, especially those who live in villages far from animal hospitals. Thus, the method of identifying the disease of Javan goats was chosen because the symptoms of diseases commonly experienced by Javan goats are relatively easy to observe and comfortable for anyone to try. The developed application is equipped with an easy-to-use and dynamic knowledge management system. This means that experts can add, change, and delete new knowledge or provisions without having to start from scratch. The application was developed using the PHP programming language and MySQL as the information base. The inference procedure used is forward chaining, which is an inference process that starts the search from premises or input information in the form of indications leading to conclusions, namely conclusions about the disease experienced and providing solutions regarding recommendations for healing and prevention based on the observed signs. the results of 100% correspondence between the results of the identification of the expert with the identification of the application.</p> 2021-11-16T07:10:44+00:00 Copyright (c) 2021 Journal Of Information System And Artificial Intelligence http://jisai.mercubuana-yogya.ac.id/index.php/jisai/article/view/50 Sistem Pakar Diagnosa Penyakit Tanaman Bunga Kertas Zinnia Menggunakan Metode Certainty Factor 2021-11-16T09:02:05+00:00 Nanik Triatmi 17111065@student.mercubuana-yogya.ac.id Mutaqin Akbar mutaqin@mercubuana-yogya.ac.id <p>Paper flowers or Zinnia flowers are annual plants belonging to the Zinnia genus. This flower comes from Mexico, grows as an ornamental plant that is spread in various parts of the world, including in Indonesia. Zinnia paper flowers are very popular in Indonesia, this plant is often used for ornamental plants. However, in plant care sometimes ornamental plant farmers experience several obstacles due to diseases or plant pests that attack because there is still a lack of knowledge and handling about these plants. Because if the plants are not handled quickly it will make farmers suffer losses. The purpose of building an expert system for diagnosing zinnia paper flower plant diseases, with this expert system it can be more effective to assist farmers in dealing with diseases or pests that attack The inference process uses the certainty factor method, looks for symptom data and then selects parameters according to existing conditions, then processed with diagnostic results in the form of type of disease, percentage results, disease details and suggestions. Based on 18 symptoms and 5 types of disease, 25 system test data were obtained, 20 data results were appropriate and 5 data results did not match so that the average percentage result was 80%.</p> 2021-11-16T00:00:00+00:00 Copyright (c) 2021 Journal Of Information System And Artificial Intelligence http://jisai.mercubuana-yogya.ac.id/index.php/jisai/article/view/56 Expert System To Diagnose Digestive Diseases In Human Using Forward Chaining And Certainty Factor Method 2021-11-16T09:02:05+00:00 Arif Wijianto Arif Wijianto arifwijianto7@gmail.com Indah Susilawati indah@mercubuana-yogya.ac.id <p>Digestive disease is the most common disease and often found in health community centers. Digestive diseases attack organs in the digestive system which can interfere the functions of other systems. If ignored, it can make the person’s condition become more severe. To solve the problem, the researcher attempted to design a smart system to help people to early recognize digestive diseases such as GERD, dyspepsia, cholera, hepatitis, appendicitis, dysentery and hemorrhoids. Based on the symptoms fed by the patients into the system, the system will use the forward chaining method and certainty factor as an inference machine that will produce a disease diagnosis. Of 36 patient data tested on the system and matched with the experts’ validation, 34 of them matched. The system has an accuracy level of 94.4% of the tested data. The results are expected to provide an initial medium of consultation to help people diagnose digestive diseases.</p> <p><strong><em>Keywords</em></strong><em>: Certainty Factor, Forward Chaining, digestive diseases, expert system.</em></p> 2021-11-16T00:00:00+00:00 Copyright (c) 2021 Journal Of Information System And Artificial Intelligence http://jisai.mercubuana-yogya.ac.id/index.php/jisai/article/view/62 Sistem Pakar Diagnosa Penyakit Kulit Akibat Gigitan Serangga Menggunakan Teorema Bayes 2021-11-16T10:49:37+00:00 Bagas Irvan Bagaskara revenbagask@gmail.com Agus Sidiq Purnomo sidiq.umby@gmail.com <p><em>This research was to design an expert system to diagnose skin diseases caused by insect bites using Bayes’ Theorem. Bayes' Theorem is a theorem used in statistics to calculate the probability of a hypothesis. The basis of the expert system knowledge is derived from the acquisition of doctors’ knowledge. This study used 25 data of medical records. The medical records were implemented into the system. The results of the system were matched with the experts to get the maximum matching number and a close identification result. Based on the 25 patient data tested against the experts and the system, the system could detect 4 types of skin diseases caused by insect bites, namely Scabies, Insect Bite, Atopic Dermatitis, and Prurigo Simplex. Of the 25 patients who had skin diseases caused by insect bites and had been matched with the experts’ validation, 21 of them matched and 4 did not match. The accuracy level of the system based on the results of the experts’ validation and the system was 84%.</em></p> 2021-11-16T00:00:00+00:00 Copyright (c) 2021 Journal Of Information System And Artificial Intelligence http://jisai.mercubuana-yogya.ac.id/index.php/jisai/article/view/64 Detecting Salacca Fruits with Larvae and No Larvae Using Convolutional Neural Network (CNN) 2021-11-16T09:02:08+00:00 Jati Nugroho jatinugroho221199@gmail.com Supatman supatman@mercubuana-yogya.ac.id <p>Salacca fruit is one of the cultivars of the salak pondoh (the young fruits with sweet taste), which has become a leading commodity in Sleman, the Special Region of Yogyakarta Province. The salak madu (honey salacca fruit ~Eng.) became known when it was identified for the first time in Sempu Sub-village (Baterante), Wonokerto Village, Turi District, Sleman Regency. The most prominent feature of this salak madu is the leaves are shorter when compared to other types of salak pondoh. The color of the fruit's skin is blackish-brown when it is young, and it gradually becomes shiny brown after getting old. The arrangement of the scales forms a line pattern. This research was initiated because some people were sometimes deceived by the salak madu that looked good even though it had larvae inside. Therefore, the researcher was willing to create a system to detect which salacca fruits had larvae inside and which did not, using the Convolutional Neural Network (CNN) method. Detecting the salacca fruits with larvae and with no larvae required an image of the salacca fruits with larvae and with no larvae; after that, the image that had been obtained would go through a training process to detect the salacca fruits, whether they have larvae or no larvae; and after that, the image would be tested for the accuracy. The test result obtained by this System was 80%.</p> 2021-11-16T00:00:00+00:00 Copyright (c) 2021 Journal Of Information System And Artificial Intelligence http://jisai.mercubuana-yogya.ac.id/index.php/jisai/article/view/49 SPK Rekomendasi Makanan Bernutrisi Bagi Pednerita Gizi Buruk Metode EDAS 2021-11-16T09:02:08+00:00 Amy Ragil amy.ragil95@gmail.com Putri Taqwa Prasetyaningrum putri@mercubuana-yogya.ac.id <p>A state of human health is different, this is due to a pattern of life which living person is also different. In addition to eating less meets nutrition in a balanced, a person is also often neglected by the consumption of food a day that have an impact on the health of the body. A diet that contains balanced nutrition is strongly recommended by health experts. The advice is not just addressed to a sick person, but a person in a healthy state should also be aware of a good diet. The meaning of health according to the ACT no. 36 year 2009 is the condition of the body in a healthy state of physical, mental, spiritual or social for everyone to live productively in the context of the social and economical. It means that it can be said that in a healthy state, allowing a person to live a prosperous life. The elements of human well-being is only one health. The current process of determining recommendations for patients at the health center is still done manually with accurate level is still low, this is due to there is a system that can provide calculations systematically to give more accurate results. On the problems that exist right now that is about decision-making in providing recommendations nutritious food for people with poor nutrition. So in the application and implementation of such a system is expected to provide positive benefits for the users of the system. One of the methods applied in this system is a method of EDAS (Evaluation Based on Distance from Average Solution). With the formation of a decision support system using the method of EDAS, then the results of the dietary recommendations for patients to be more accurate with the calculations based on the criteria that are there.</p> 2021-11-16T08:13:23+00:00 Copyright (c) 2021 Journal Of Information System And Artificial Intelligence http://jisai.mercubuana-yogya.ac.id/index.php/jisai/article/view/60 EXPERT SYSTEM TO DIAGNOSE TYPES OF DRUG ADDICTION USING BAYES’ THEOREM 2021-11-16T09:02:09+00:00 Iqbal Adji Setiadhi Iqbal Adji Setiadhi adji23iqbal@gmail.com <p>This research was to design an expert system to diagnose types of drug addiction using Bayes’ Theorem. Bayes' Theorem is a theorem used in statistics to calculate the probability of a hypothesis. The basis of the expert system knowledge is obtained from the acquisition of doctors’ knowledge.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; This study used 32 data of medical records. The medical records were incorporated into the system. The results of the system were matched with the experts to get the maximum matching number and a close identification result.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Based on the 32 data tested against the experts and the system, the system could detect 4 types of drugs, namely Cannabis, Cocaine, Opioids, and Hallucinogens. There were 27 patients who were addicted to marijuana and they matched the experts’ validation, meanwhile 5 patients did not match the experts’ validation. The accuracy level of the system based on the results of the experts’ validation and the system was 84.38%.</p> 2021-11-16T08:49:30+00:00 Copyright (c) 2021 Journal Of Information System And Artificial Intelligence http://jisai.mercubuana-yogya.ac.id/index.php/jisai/article/view/59 LAPTOP SELECTION SYSTEM BASED ON THE NEED CRITERIA USING SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE (SMART) METHOD (Case Study: Guard Laptop Shop Yogyakarta) 2021-11-16T09:02:09+00:00 Herli Setiawan Herli Setiawan herlysetiawan95@gmail.com Arita Witanti arita@mercubuana-yogya.ac.id <p>In the process of buying laptops, it is found out that customers at Laptop Guard Store are often confused when to select the specification of the laptop they need. They sometimes take a long time to choose the most appropriate laptop for them. The Simple Multi-Attribute Rating Technique (SMART) method is a decision support system that can help them select a laptop. This method starts with determining criteria, assigning criteria weight, normalizing criteria weight, determining sub-criteria, assigning sub-criteria weight, determining utility values, calculating total values, ​​and drawing conclusions in the form of rankings or final recommendations. The criteria include college majors, brands, applications, processors, and prices. The results of this study will provide suggestions for laptop buyers to suit their needs for a laptop with a letter level of accuracy based on the needs calculation. The results of the accuracy testing of the system that have been made with calculations and is currently carried out by the company using 50 samples show an output of 100% relevant and 0% irrelevant. In this study, Asus laptops had the highest percentage of selection of 60%, Acer 34%, and Lenovo 6%.</p> <p>&nbsp;</p> <p><strong><em>Keywords: laptop, decision support system, SMART</em></strong><em>.</em></p> <div id="gtx-trans" style="position: absolute; left: 326px; top: 202.868px;"> <div class="gtx-trans-icon">&nbsp;</div> </div> 2021-11-16T09:01:38+00:00 Copyright (c) 2021 Journal Of Information System And Artificial Intelligence