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<![CDATA[Sistem Pendukung Keputusan Untuk Menentukan Kelayakan Pengiriman Peserta Magang Ke Jepang Pada Dinas Tenaga Kerja Kota Medan Dengan Metode Analytical Hierarchy Process (AHP) ]]>
<![CDATA[Ryki Perdana]]>;
<![CDATA[Achmad Yani]]>
<![CDATA[ ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019 ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/algoritma.v3i2.6436
<![CDATA[Selection of apprentices to Japan is an activity that is often done by the Medan City Manpower Office to find apprentices to Japan who are eligible to be sent and placed there. Every agency or company in general has used a computerized application to process data easily and quickly. The reality on the ground is that the Medan City Manpower Office is not ready in the process of selecting apprentices to Japan. The system used is still manual, resulting in a lack of effectiveness in selecting apprentices to Japan. The use of computers is very necessary for data processing so as to produce an accurate and fast information. Computerized data processing is needed to obtain information that can be used to produce solutions to existing problems. To solve the problems above, we need a Decision Support System. Decision support system is a system that helps the performance of staff recruiting at the Medan City Manpower Office. For this reason a Decision Support System to determine the appropriateness of apprentices to Japan. This study applies the Analytical Hierarchy Process (AHP) method which is one that can solve multi-criteria problems. The benefit of this research is to provide a more effective and efficient alternative to facilitate decision making in determining the appropriateness of apprentices to Japan. Inputs requested from the user are the assessment criteria and the results provided by the system are alternative apprenticeship data based on the highest priority order of alternative values.Keywords: Decision Support System, AHP, Internship Participant Eligibility]]>
<![CDATA[Implementasi Sistem Informasi Penerimaan Siswa Baru Pada SMK / SMA Yapim Taruna Marelan Berbasis Web ]]>
<![CDATA[Randi Rian Putra]]>
<![CDATA[ ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019 ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/algoritma.v3i2.6441
<![CDATA[PSB is one of the administrative processes that will be used by prospective students every year. Acceptance of prospective students is based on the criteria obtained when graduating from SMP / MA, Prospective students referred to are new students who will register at the SMK / SMA level. The problem is that prospective students from outside the area also find it difficult to register because they have to go to school first, where it is very time-consuming and requires a lot of money. In research and system testing, it is carried out with several methods, namely field research, library research and laboratory research. Field research was carried out by direct observation to SMK / SMA Yapim Taruna Marelan, so that the working mechanism of the existing system was known. Literature research is done by studying books that can add to the study of science for this system and research. Whereas laboratory research is carried out by creating a web-based PSB. The benefits of this research can improve the quality of SMK / SMA Yapim Taruna Marelan in the admission of new students and the increasing number of students each year. Keywords: acceptance of new students, psb]]>
<![CDATA[Penerapan Metode Association Rule Untuk Menganalisa Pola Pemakaian Bahan Kimia Di Laboratorium Menggunakan Algoritma FP-Growth (Studi Kasus di Laboratorium Kimia PT. PLN (Persero) Sektor Pembangkitan Belawan Medan) ]]>
<![CDATA[Buyung Solihin Hasugian]]>
<![CDATA[ ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019 ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/algoritma.v3i2.6437
<![CDATA[The pattern of using chemicals in the laboratory of PT. PLN (Persero) Sektor Pembangkitan Belawan Medan is not only to find out what chemicals are used but also to find out the amount of chemicals left so that laboratory officials can properly manage the use of these chemicals. One appropriate way to determine the pattern of use of these chemicals is to use data mining techniques. The Data Mining technique used in this case is the FP-Growth Algorithm. FP-Growth is an alternative algorithm that can be used to determine the most frequent set of data in a data set. The study was conducted using several variables, namely the date and chemicals used. The results of this study are in the form of a chemical usage pattern which is processed using software, namely implementing the FP-Growth algorithm using the concept of FP-Tree development in searching for Frequent Itemset. Keywords: Data Mining, Association Rules, Frequent Itemset, FP-Growth]]>
<![CDATA[Perancangan Sistem Keamanan Aplikasi E-Voting Untuk Pemilihan Ketua Badan Eksekutif Mahasiswa Fakultas Teknik UISU Dengan Menggunakan Algoritma MD5 ]]>
<![CDATA[Muhadi M.Ilyas Gultom]]>;
<![CDATA[Darjat Saripurna]]>
<![CDATA[ ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019 ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/algoritma.v3i2.6438
<![CDATA[E-voting Is the use of hardware and software to establish an electronic system that is useful in the electoral process by making electronic votes that replace ballot papers. E-Voting was introduced by several e-Government especially in Europe in a request to serve the voting provisions by providing a control system, so that voters can vote whenever and wherever. To avoid all forms of fraud and damage to data which is certainly very important for the voting process, it is necessary to secure data by applying cryptography to the data. Currently there are many methods or algorithms that can be used to protect data from various types of attacks, but of course each algorithm has advantages and disadvantages of each. MD5 is a concise message algorithm developed by Ron rivest. MD5 has actually been rooted in a series of concise message algorithms, which are the predecessors of md5, all developed by Rivest. The original digest message is called md.]]>
<![CDATA[Perancangan Alat Simulasi Sistem Kendali Lampu Rumah Menggunakan Aplikasi Android ]]>
<![CDATA[Muhammad Syahputra Novelan]]>
<![CDATA[ ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019 ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/algoritma.v3i2.6434
<![CDATA[Smartphones with the Android operating system are increasingly available in the market at increasingly affordable prices. The Android operating system itself is an open source operating system that can be modified according to needs. In this research, the aim is to design and implement a home lighting control system that activates and deactivates via a smartphone using Bluetooth and makes Android a multifunctional cellular device, in addition to a communication device but also as a device that is communicated to control a hardware device. Based on the results of tests conducted, the system can work properly in accordance with the goals of the lamp control application program that is made to run on the Android operating system, and can activate and deactivate the lamp driver device. Data communication between the lamp driver device and the Android smartphone runs well, the range of the control application system can control the lamp driver device depending on the specifications of the Bluetooth device used both from the receiver and sender side Keywords : Smartphone, Android, Full Control System, Bluetooth]]>
<![CDATA[Perancangan Sistem Informasi Pengolahan Data Penjualan Secara Kredit dan Controlling Stock Dengan Menerapkan Metode Backorder Pada Toko Master Menggunakan Bahasa Pemrograman Java dan Database MySql ]]>
<![CDATA[J. Prayoga]]>
<![CDATA[ ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019 ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/algoritma.v3i2.6439
<![CDATA[Had done the research on the Master Store, where the problems are used as the basis in writing this is a system of data processing sales on credit and controlling stock. Through the process of direct observation of the field has gained the weaknesses of the existing system. Although not entirely but more directed to a specific problem, it is expected to contribute significantly to the users of the system. The author designed the information system of data processing sales on credit and controlling stock based on Java Master Store, because with this information system will be faster, precise, and accurate. In designing this new system used the Java programming language and MySQL database, with the design of this new system the authors embody the system of data processing sales on credit and efficient controlling stock on the Master Store. Keywords: Credit Sales Data Processing And Controlling Stock, JAVA, MySQL]]>
<![CDATA[Penerapan Metode Association Rule Dalam Menganalisa Data Penjualan Obat Mengunakan Algoritma FP-GROWTH (Studi Kasus Rumah Sakit Haji Medan) ]]>
<![CDATA[Ibnu Rusydi]]>
<![CDATA[ ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019 ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/algoritma.v3i2.6435
<![CDATA[Sales transaction data is a very valuable asset in business processes. Not only is it used to calculate profits and money, but large amounts of transaction data can also be used for various purposes to generate new knowledge (knowledge) in the transaction database. Ways that can be done for data processing and generate new knowledge from the data is to use data mining techniques. The technique used in this case is the FP-Growth Algorithm. The data structure used is a tree called FP-Tree. By using FP-Tree, FP-growth Algorithm can directly extract Itemset from FP-Tree. Research conducted by collecting data related to research in the case studio at Medan Haji Hospital Pharmacy where the variables taken are daily drug transaction data. The results of this study are part of the new knowledge of this sales data by applying the FP-Growth Algorithm that uses the concept of FP-Tree development in finding Frequent Itemset that is useful for the development of investment plans in the study areas taken. Keywords: Data Mining, Association Rules, Frequent Itemset, FP-Growth.]]>
<![CDATA[Perancangan Aplikasi Skripsi Online Menggunakan Algoritma String Matching Knuth Morris-Pratt Pada Fakultas Teknik Universitas Islam Sumatera Utara ]]>
<![CDATA[Arief Rahman Hakim]]>;
<![CDATA[Khairuddin Nasution]]>;
<![CDATA[Oris Krianto Sulaiman]]>;
<![CDATA[Mhd. Zulfansyuri Siambaton]]>
<![CDATA[ ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019 ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/algoritma.v3i2.6440
<![CDATA[This Online Thesis application aims to save a collection of theses at the Islamic University of North Sumatra in the form of electronic files and distributed so that they can be accessed and read online by visitors but cannot be copied files. This system has a facility to record user activities to find out visitor statistics, theses that are read frequently, browser statistics used by users and pages accessed by users, and has a fast search facility and detailed search for users. The article discusses how to design and implement Knuth Morris-Pratt String Matching Algorithm in the Online Thesis Application that is able to handle the storage of thesis files on the server in the form of Portable Document format (PDF) which is converted into Flipbook form using Turn Js as a tool in making flipbook display. This system was developed using PHP, MySql, and HTML5. The results obtained are a Web-based Online Thesis Application that features a flipbook that can help library management in managing digital theses, knowing which pages visitors are visiting, theses that are often read, and knowing visitor statistics. And can provide information about existing digital thesis and help library visitors in finding and reading digital thesis online. Keywords: thesis, flipbook, String Matching Knuth Morris-Pratt]]>
<![CDATA[Penerapan Data Mining Apriori Pada Persediaan Obat (Studi Kasus Apotek Rafif Farma Medan) ]]>
<![CDATA[Mardiah Mardiah]]>
<![CDATA[ ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019 ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/algoritma.v3i2.6953
<![CDATA[The importance of inventory systems at a pharmacy and the type of goods whichare a top priority that must be in stock. It is useful to anticipate the void stuff. Due to thelack of inventory may affect customer service and asset to the pharmacy. Therefore, thisstudy was conducted to help resolve those problems by designing a data miningapplication that serves to predict sales of the drug is needed most knowable a priorialgorithm with the help of Tools Tanagra. One of the interesting association analysisphase analysis algorithm that generates a high frequency patterns (frequent patternmining).Keywords: Data Mining, Apriori Algorithm, Association Rule]]>
