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ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA

algoritma
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Published by Universitas Islam Negeri Sumatera Utara

ISSN : - EISSN : 25986341 DOI : 10.30829/algoritma

Core Subject : Science,

Computer Science & IT

Arjuna Subject : -

Articles 161 Documents

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Prototype Smart Home With Voice Recognition Berbasis Arduino Uno Muhammad Siddik Hasibuan
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 1 (2019): April 2019
Publisher : UIN Sumatera Utara

Smart home or smart home is a system that can facilitate and increase the comfort of the homeowner specifically in terms of controlling electronic equipment in the house so that it can reduce waste in the use of electronic equipment and provide security to the homeowner so that the electrical short circuit is used the owner is wet. This paper discusses the design of systems in smart homes that can activate or activate electronic equipment in this case only to the lights.Keywords : Smart home, Easy VR, Arduino Uno, Voice Recognition

Pemilihan Jenis Sapi bagi Peternak Sapi Potong dengan Metode SMART Gumilar Ramadhan Pangaribuan; Agus Perdana Windarto; Wida Prima Mustika; Anjar Wanto
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 1 (2019): April 2019
Publisher : UIN Sumatera Utara

The Livestock Sector is one of the most promising agribusiness sectors. Selection of the right type of cow is the duty of cattle farmers to get cows with quality. The aim of the study was to recommend the best type of cattle using the SMART method. Data sources were obtained by interviewing and giving questionnaires to 25 random beef cattle farmers in the parbalogan village, Tanah Jawa Subdistrict, Simalungun Regency. The six types of cattle (alternative) are used such as Lemosin (A1), Simental (A2), Bali (A3), Dairy (A4), Brahma (A5) and Madras (A6). While the assessment criteria are used, namely: Origin (C1), Price (C2), Age (C3), Weight (C4), and Size (C5). The results of the study state that the type of Lemosin (A1) Beef is the first recommendation with the final value of 1 and the type of Bali cow (A3) as the second recommendation with the final value of 0.702543.. Keywords: DSS, Beef, Breeders, SMART Method, Pematangsiantar

Penerapan Fuzzy Inference System Mamdani Untuk Menentukan Jumlah Pembelian Obat (Studi Kasus: Garuda Sentra Medika) Rahmawati Rahmawati; Eka Pandu Cynthia; Intan Eria Elfi
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 1 (2019): April 2019
Publisher : UIN Sumatera Utara

The availability of the right raw materials is closely related to the number of products to be produced. Therefore the prediction of production must be adjusted so that the stock order of raw materials can be calculated correctly. Inventory problems are problems that are always faced by decision makers in the field of inventory. Supplies are needed because basically the demand pattern is irregular. Inventories are carried out to ensure that there is certainty that when needed these products are available. The problem in inventory is the difficulty in determining the amount of inventory that must be provided in meeting the number of requests to consumers. The purpose of this study was to determine the amount of drug purchases at Garuda Sentra Medika with the Mamdani method fuzzy inference system based on inventory data and sales data. This study uses three variables, namely inventory, sales and purchases by having two inputs, namely inventory and sales and one output, namely purchase. The results of the application of the fuzzy inference system Mamdani method can help the company to determine the amount of drug purchases with a success rate of 99.35869%.Keywords: Drug Sales, Fuzzy Inference System, Inventory, Purchasing.

Sistem Pendukung Keputusan Untuk Menentukan Kelayakan Pengiriman Peserta Magang Ke Jepang Pada Dinas Tenaga Kerja Kota Medan Dengan Metode Analytical Hierarchy Process (AHP) Ryki Perdana; Achmad Yani
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019
Publisher : UIN Sumatera Utara

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

Implementasi Sistem Informasi Penerimaan Siswa Baru Pada SMK / SMA Yapim Taruna Marelan Berbasis Web Randi Rian Putra
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019
Publisher : UIN Sumatera Utara

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

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) Buyung Solihin Hasugian
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019
Publisher : UIN Sumatera Utara

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

Perancangan Sistem Keamanan Aplikasi E-Voting Untuk Pemilihan Ketua Badan Eksekutif Mahasiswa Fakultas Teknik UISU Dengan Menggunakan Algoritma MD5 Muhadi M.Ilyas Gultom; Darjat Saripurna
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019
Publisher : UIN Sumatera Utara

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.

Perancangan Alat Simulasi Sistem Kendali Lampu Rumah Menggunakan Aplikasi Android Muhammad Syahputra Novelan
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019
Publisher : UIN Sumatera Utara

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

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 J. Prayoga
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019
Publisher : UIN Sumatera Utara

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

Penerapan Metode Association Rule Dalam Menganalisa Data Penjualan Obat Mengunakan Algoritma FP-GROWTH (Studi Kasus Rumah Sakit Haji Medan) Ibnu Rusydi
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 3, No 2 (2019): November 2019
Publisher : UIN Sumatera Utara

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.

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