METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi <p><strong>JURNAL METHODIKA</strong> diterbitkan oleh Program Studi Teknik Informatika dan Program Studi Sistem Informasi Fakultas Ilmu Komputer Universitas Methodist Indonesia Medan sebagai media untuk mempublikasikan hasil penelitian dan pemikiran kalangan Akademisi, Peneliti dan Praktisi bidang Teknik Informatika dan Sistem Informasi. Jurnal ini mempublikasikan artikel yang berhubungan dengan bidang ilmu komputer, teknik informatika dan sistem informasi. </p> en-US (Darwis Robinson Manalu) (Asaziduhu Gea) Thu, 10 Sep 2020 00:00:00 +0700 OJS 60 SISTEM PENENTUAN PEMBERIAN PINJAMAN DANA PADA KOPERASI SIMPAN PINJAM MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING <p>In providing loans, cooperatives have stages that must be passed before credit is decided to be disbursed. The aim is to facilitate cooperatives in assessing the feasibility of a credit application. The loan eligibility assessment is carried out with many assessment criteria including employment, income, capital/shares, number of dependents, and house status. Analysis of loan eligibility requires the accuracy of a credit analyst in analyzing credit applicants submitted by members. If the credit analysis is not precise, then the provision of credit funds can be difficult and even make a loss. So to determine whether a loan application can be accepted or not, of course, cooperative management has many multi-criteria considerations. In this study, an analysis was carried out using the Simple Additive Weighting method to facilitate the process of making feasibility decisions and eliminating lending to prospective debtors. The results of the study show that the results of the calculation of the determination of lending funds to members of savings and loan cooperatives using the simple additive weighting method can show alternatives that are eligible to receive loans with a preference value &gt;= 60% and also alternatives that are not eligible to receive loans, namely with a preference value of &lt;= 60%.</p> <p>&nbsp;</p> Gortap Lumbantoruan, Mufria J Purba Copyright (c) 2020 Methodika Fri, 23 Jul 2021 00:00:00 +0700 SISTEM PAKAR DIAGNOSA HAMA DAN PENYAKIT TANAMAN HOLTIKULTURA <p>Consultation with someone who has expertise in a particular field in solving a problem is the right choice to get the best answers, suggestions, solutions, decisions or conclusions. Technological developments have an influence on developments in various sectors and technological advances have a lot of influence in the work process in agriculture, where a lot of agricultural equipment is developed so that the agricultural work process can be completed properly and provide better results in terms of quality and quantity. One technology that is widely developed is a technique that is able to adopt human thinking processes and ways, namely artificial intelligence technology (artificial intelligence). An expert system is one part of artificial intelligence that contains knowledge and experience that is entered by one or many experts into one knowledge. so that farmers can use the system to determine the right solution to the existing problems.</p> Imelda Sri Dumayanti Copyright (c) 2020 Methodika Thu, 10 Sep 2020 00:00:00 +0700 PERANCANGAN APLIKASI CAPTURE TRAFFIC NETWORK TCP/IP MENGGUNAKAN NODE.JS BERBASIS WEB <p>With more and more people accessing the internet to get information and the absence of settings on data traffic it will cause the network to be slow.&nbsp; The network traffic settings in Linux Ubuntu still use scripts that are relatively more difficult to use and understand for some people, so tools are needed to configure them. Capture network traffic application is Software designed to capture communications connected to servers. Capture network traffic application can only log data and read TCP/IP and HTTP protocols. The Capture network traffic application has various features, including checking whether the server is on or off, capturing traffic packets on a LAN network, and displaying a map of the URL location. So the results of this study explain the creation of a Traffic Management Configurator to facilitate traffic monitoring settings in gateways that connect different networks. Furthermore, this traffic monitoring application is used to view the actual packets of traffic on the network and network statistics. Both applications use the web as an interface to the user.</p> Mody Unedo Ritonga, Naiksin Fandier Saragih, Asaziduhu Gea Copyright (c) 2020 Methodika Thu, 10 Sep 2020 00:00:00 +0700 MENDETEKSI SECARA OTOMATIS OBJEK GERAKAN BERDASARKAN GAUSSIAN MIXTURE MODEL MENGGUNAKAN APLIKASI MATLAB <p>Automatically detects moving objects on a pedestrian video, each object will be detected by counting objects that appear at the beginning of the video based on a number. In detecting this object, the model used is the Gaussian Mixture Model whose performance is very effective if applied to any area that occurs in an object motion detected in the video. In this study, the Gaussian Mixture Model is used to model the background colors of each pixel. To facilitate the detection of this object, the Matlab 2016 application is also used, this application helps facilitate detection based on the size that will be adjusted according to the object to be detected.</p> <p>&nbsp;</p> Aldina Syahfaridzah, Adelia Kartika Panggabean, Nabila Ayu Ardiningsih Copyright (c) 2020 Methodika Fri, 23 Jul 2021 00:00:00 +0700 ANALISIS PERANCANGAN SI-STOK UNTUK MENGURANGI BULLWHIP EFFECT DALAM INDUSTRI GARMEN <p>The garment industry has a large contribution to Indonesia's exports. Currently, this industry is facing various challenges, including changes in market demand that are getting faster along with the acceleration of the development of world fashion which does not only rely on the seasons but fashion trends, causing orders for apparel to change rapidly causing the high demand for raw materials from each industrial component to become unstable. stable. The obstacle that is often encountered in the implementation of supply chain management is the lack of coordination, causing distortion of information which results in a bullwhip effect. This research uses the literature study method for data collection and the waterfall method for system design. The final result of this research is a stock information system that is expected to reduce distortion of information and clarify coordination between components in a garment industry so as to reduce the bullwhip effect and stabilize demand for raw materials from each industrial component.</p> <p>&nbsp;</p> Ifan Setyowinarno, Jeffri Dian Asmoro, Yusuf Amrozi Copyright (c) 2020 Methodika Thu, 10 Sep 2020 00:00:00 +0700 PERANCANG SISTEM PAKAR DIAGNOSIS KERUSAKAN PERANGKAT KERAS MENGGUNAKAN POHON KEPUTUSAN <p>The development of computer technology is also followed by the increasing number of computer users in the world. Along with the increasing number of computer users, the problem of computer damage has become quite a complicated problem. This is understandable considering the number of computer users who lack knowledge about computers, especially in dealing with computer damage. In addition, the limited memory and knowledge of a technician about computer damage can cause errors or inaccuracies in diagnosing the damage. In designing this system the approach method used is structured oriented with the system development method used is a prototype model. The supporting software used to design a food menu ordering information system is Power Designer, Bizagi Modeler, Balsamiq, and Microsoft Visio. The final result of this activity is in the form of an expert system design report to diagnose web-based hardware damage. With the expert system created, it is expected to be able to overcome errors in determining damage caused by the limited memory of technicians.</p> Nursafitri Meylani Pane, Mochammad Sisin Saiful Umam, Fitriani Noor Fauziah Copyright (c) 2020 Methodika Fri, 23 Jul 2021 00:00:00 +0700 REKOMENDASI BENGKEL SEPEDA MOTOR TERBAIK DIKOTA MEDAN BERDASARKAN SURVEY KEPUASAN PELANGGAN DENGAN METODE WEIGHTED SUM MODEL (WSM) BERBASIS GIS <p>The rapid growth of the number of vehicles in the city of Medan is increasing, the growth in the number of vehicles (motorcycles) is proportional to the increase in the number of workshops, both official workshops (official dealers) and unofficial workshops that serve vehicle repairs and sell vehicle spare parts. With the many locations of motorcycle repair shops in the city of Medan, sometimes it makes workshop service users feel confused to find the best workshop location according to the desired criteria. This will cause problems for motorcycle repair service users because not all of them know the name of the workshop and its address, especially for service users who live outside the city of Medan. The purpose of this research is to create a Decision Support System to help repair shop service users make the right decisions. The right method to make it easier for users to choose a motorcycle repair shop is to use the method Weighted Sum Model (WSM) with the help of Google Map. By applying the Weighted Sum model method, the system built will provide recommendations for the best motorcycle repair shops to potential users of repair services by displaying the location geographically using a Google Map.</p> <p>&nbsp;</p> Febri Wijaya Hutagalung, Alfonsus Situmorang, Jimmy F. Naibaho Copyright (c) 2020 Methodika Thu, 10 Sep 2020 00:00:00 +0700 PENINGKATAN PERFORMA ALGORITMAK-NEAREST NEIGBORD DALAM KELASIFIKASI DATA TIDAK SEIMBANG MENGGUNAKAN METODE SPIDER-2 <p>Class imbalance has become an ongoing problem in the field of Machine Learning and Classification. The group of data classes that are less known as the minority group, the other data class group is called the majority group (majority). In essence real data, data that is mined directly from the database is unbalanced. This condition makes it difficult for the classification method to perform generalization functions in the machine learning process. Almost all classification algorithms such as Naive Bayes, Decision Tree, K-Nearest Neighbor and others show very poor performance when working on data with highly unbalanced classes. The classification methods mentioned above are not equipped with the ability to deal with class imbalance problems. Many data processing methods are often used in cases of data imbalance, in this case research will be carried out using the Spider2 method. In this study, the Ecoli dataset was used, while for this study, 5 (five) different Ecoli datasets were used for each dataset for the level of data imbalance. After testing datasets with different levels of Inbalancing Ratio (IR), starting from the smallest 1.86 to 15.80, the results that explain that the KNN algorithm can improve its performance even better in terms of unbalanced data classification by adding the SPIDER- method 2 as a tool in dataset processing. In the 5 trials, the performance of the KNN algorithm can increase GM by 5.81% and FM 14.47% by adding the SPIDER-2 method to KNN.</p> <p>&nbsp;</p> Resianta Perangin-angin, Sanco Simanullang, Darwis Robinson Manalu Copyright (c) 2020 Methodika Sat, 14 Aug 2021 00:00:00 +0700