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<![CDATA[Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Analisis Keranjang Belanja Pada Transaksi Penjualan Pada PT Madu Kembang Joyo ]]>
<![CDATA[Nasib Ratna Sari Purba]]>;
<![CDATA[Fristi Riandari]]>
<![CDATA[ Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 1 (2021): Februari 2021 ]]>
Publisher : <![CDATA[Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah ]]>
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DOI: 10.32672/jnkti.v4i1.2745
<![CDATA[In the sale of goods (products), companies often experience problems because of the irregular level of consumer spending. Determination of product layout is done to make it easier for consumers to find honey products so as not to disappoint consumers in finding the location of which products are suitable to be combined with other products that are often in demand by consumers, so that consumers can save time. Based on the problems faced by the company, data mining analysis tools are needed. Currently, the utilization of data that is owned is not fully maximized, it is limited to making reports. The problem of research is the accumulation of unused transaction data, the difficulty of placing products according to consumer needs. The absence of an effective product sales strategy. The application is built using the PHP programming language with the MySQL database. The data used for shopping cart analysis on the sales transaction of Joyo Flower Honey is 1 month transaction data. The combination of items with the highest support x confidence value will be used as a combination to determine the placement of the suitable item to be connected between the two products that consumers are most interested in. In addition, the combination of these items can be used by management to position the product on the shelf which will make it easier for consumers to find the product they need.]]>
<![CDATA[Implementasi Metode K-Means Clustering Dalam Pengelompokan Bibit Tanaman Kopi Arabika ]]>
<![CDATA[Benny Ginting]]>;
<![CDATA[Fristi Riandari]]>
<![CDATA[ Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 2 (2020): OKTOBER 2020 ]]>
Publisher : <![CDATA[Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah ]]>
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DOI: 10.32672/jnkti.v3i2.2381
<![CDATA[The diversity of coffee seed material which in the end makes it difficult for the Department of Agriculture and Plantation in classifying recommended seeds to be distributed and planted in coffee planting centers in their working areas, especially in Sarimunthe Village, Kec. Munte Karo District. Data mining is used to extract valuable information from a dataset and then present it in a format that is easy for humans to understand in order to make a decision. In this study, data processing of Arabica coffee seeds consisting of 30 items, in the Karo District Agriculture sector, in preparing the seeds to be distributed to the public, the assessment is divided into 3 phases, namely coffee seeds that do not produce (Phase 0-1 Year), immature (Phase 0-1 Year). Phase 1-2 Years) and produce (Phase 2 Years and above). The results of the calculation of the K-Means algorithm which have been grouped into clusters, it can be concluded that the recommended coffee seeds (C1) consist of 10 items, the coffee seeds that are not recommended (C2) consist of 7 types of coffee seeds and unfit coffee seeds. (C3) consists of 13 types of coffee seeds. .]]>
<![CDATA[Sistem Pakar Mendiagnosa Penyakit Keputihan Pada Wanita Dengan Metode Teorema Bayes ]]>
<![CDATA[Christina Simanjuntak]]>;
<![CDATA[Fristi Riandari]]>
<![CDATA[ Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 2 (2021): April 2021 ]]>
Publisher : <![CDATA[Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah ]]>
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DOI: 10.32672/jnkti.v4i2.2847
<![CDATA[Leucorrhoea is a discharge other than blood from the vaginal canal, if abnormal vaginal discharge is left untreated, as a result the infection can spread, enter the uterus, fallopian tubes, and can infect the ovaries. The application of an expert system in the health sector will greatly assist in survival someone. Expert systems can help diagnose a type of disease based on their own symptoms quickly and precisely. An expert system that is designed as a tool to diagnose the type of leucorrhoea, especially in women who experience vaginal discharge, but often they feel able to recognize themselves that they are suffering from vaginal discharge without feeling the need to go to a doctor for a more detailed examination, and only treat themselves with medication. Free-sale vaginal discharge medication. This expert system will display a selection of symptoms that can be selected by the user, then get the final result with the Bayes theorem method by providing a diagnosis result in the form of a probability value for the emergence of each type of disease and solution. Expert system applications are built on a web basis using HTML, PHP, CSS using the mysql database.]]>
<![CDATA[Sistem Pendukung Keputusan Pemberian Uang Pertanggungan Terhadap Claimer Asuransi Kesehatan Menggunakan Metode SAW ]]>
<![CDATA[Dedi Setiawan Halawa]]>;
<![CDATA[Fristi Riandari]]>
<![CDATA[ Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 5 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah ]]>
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DOI: 10.32672/jnkti.v4i5.3429
<![CDATA[DSS can provide interactive tools that allow decision makers to perform various analyzes of the available models. There are several methods used in DSS and one of them is the Simple Additive Weighting (SAW) method. The criteria used in determining the sum insured are length of stay, accidents and medical expenses. The application system can only provide recommendations for the provision of sum assured for health insurance claims at PT. Jasindo Health Care. The formulation of the research problem is to apply the Simple Additive Weighting (SAW) method in determining the award of sum insured to health insurance claimers using the PHP programming language, database, mysql. The calculation results show that Alternative A1 has the highest V value, namely V1 = 100, so alternative A1 is the most entitled to receive the sum insured against health insurance claimers at Jasindo Health Care.]]>
<![CDATA[Perancangan Aplikasi Prediksi Jumlah Pendaftar Siswa Baru Dengan Metode Regresi Linier (Studi Kasus: SMA RK Deli Murni Bandar Baru) ]]>
<![CDATA[Novita Ria Lase]]>;
<![CDATA[Fristi Riandari]]>
<![CDATA[ Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 3 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah ]]>
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DOI: 10.32672/jnkti.v3i3.2520
<![CDATA[The problem of the SMA RK Deli Murni Bandar Baru school is to predict how many facilities that need to be provided for new students such as chairs, tables and others. This study discusses the prediction of the number of new student registrants at SMA RK Deli Murni Bandar Baru based on the amount of tuition fees using a simple linear regression method. From a commercial point of view, the use of data mining can be used to handle the explosion of data volumes, using computational techniques can be used to produce information needed which is an asset that can increase the competitiveness of an institution. Prediction is almost the same as classification and estimation, except that in the prediction the value of the results will be in the future. This system can be used to predict the number of applicants in the following year to help the school. The advantage is that this simple linear regression method is very simple so that it is easy to calculate and use. Saves the time needed to solve problems, especially those that are very complex.]]>
<![CDATA[Sistem Pakar Mendiagnosa Penyakit Kulit Wajah Menggunakan Metode Certainty Factor ]]>
<![CDATA[Fristi Riandari]]>
<![CDATA[ Jurnal Mantik Penusa Vol. 1 No. 2 (2017): Jurnal Mantik Penusa ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan ]]>
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<![CDATA[Kulit merupakan organ terbesar dalam tubuh dan bagian terluar dari tubuh manusia yang lentur dan lembut yang merupakan benteng pertahanan pertama dari berbagai ancaman yang datang dari luar. Kulit wajah merupakan jendela yang bisa membantu alam mendeteksi kelainan atau penyakit lain di dalam tubuh. Pada iklim tropis yang ada di indonesia ini dapat menyebabkan kulit menjadi berminyak dan berkeringat. Selain itu juga iklim ini dapat pula menyebabkan kita mudah sekali terkena debu dan asap. Dengan adanya pengaruh tersebut kita mudah sekali terkena beberapa penyakit atau gangguan pada kulit wajah karena kulit wajah merupakan bagian yang paling sensitif dibandingkan kulit bagian lain. Penelitian bertujuan untuk membangun aplikasi menggunakan metode Certainty Factor dengan menggunakan aplikasi Visual Basic 2010 sebagi alat bantu untuk mendiagnosa penyakit kulit wajah dan menggunakan Microsoft Access sebagai database. Dengan aplikasi ini pasien tidak harus menunggu lama untuk mendapatkan perawatan oleh dokter, namun dapat menjadi alternative untuk mengantisipasi pengobatan secara cepat dan tepat. Cara menggunakan aplikasi ini yaitu admin menginputkan gejala-gejala yang akan di pilih oleh user, kemudian sistem akan mengelola semua pilihan user menggunakan metode Certainty Factor dan sistem akan mengeluarkan output berupa hasil diagnosa berupa jenis penyakit dan solusinya. Sistem yang dibangun dapat membantu pasien dalam mengetahui jenis penyakit kulit wajah yang sedang diderita pasien dan sesaui dengan analisa pakar penyakit kulit.]]>
<![CDATA[RANCANG BANGUN APLIKASI KOMPRESI TEXT DENGAN PENERAPAN ALGORITMA VARIABEL LENGTH BINARY ENCODING ]]>
<![CDATA[Fristi Riandari]]>
<![CDATA[ Jurnal Mantik Penusa Vol. 1 No. 2 (2017): Jurnal Mantik Penusa ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan ]]>
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<![CDATA[Penelitian ini bertujuan untuk merancang sebuah aplikasi komputer yang dapat mengkompresi text file dan membandingkan kinerja algoritma. Kompresi text file dilakukan dengan mengkodekan teks menggunakan algoritma Variable Length Binary Encoding, kemudian melakukan proses kompresi. Hasil akhir dari kompresi adalah file berekstensi *.vlbe yang dapat didekompresi. Keluaran dari dekompresi ini adalah sebuah file baru yang terdiri dari file headerserta file body yang berisi kode-kode hasil pengkodean dan kompresi text file asli yang dapat disimpan dengan ekstensi file *.txt, *rtf atau *.doc. Rasio pembanding yang digunakan adalah Compression Ratio (CR), Ratio of Compression (RC), Space Savings (SS), dan waktu proses (ms). Kata Kunci : Variable Length Binary, Kompresi]]>
<![CDATA[IMPLEMENTASI METODE GEOMETRIC MEAN FILTER UNTUK PERBAIKAN DENGAN REDUKSI NOISE PADA CITRA DIGITAL ]]>
<![CDATA[Fristi Riandari]]>
<![CDATA[ Jurnal Mantik Penusa Vol. 2 No. 2 (2018): Computer Science ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan ]]>
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<![CDATA[Citra memegang peranan sangat penting sebagai bentuk informasi. Seiring kemudahan yang ditawarkan dalam pengambilan, pemrosesan dan penyimpanannya masyarakat mulai banyak yang meninggalkan citra analog dan beralih ke citra digital. Citra digital merupakan salah satu bentuk citra yang paling mudah dipergunakan dari segi pengiriman sebagai data, pengolahan dan pemrosesan citra itu sendiri. Meskipun sebuah citra kaya informasi, namun seringkali citra yang kita miliki mengalami penurunan intensitas mutu, misalnya mengandung cacat atau derau (noise), warnanya terlalu kontras atau kabur. Penurunan intensitas mutu tersebut, biasanya terjadi pada proses pengambilan ataupun penyimpanan gambar (citra digital). Mean filter merupakan salah satu filtering linear yang berfungsi untuk memperhalus dan menghilangkan noise pada suatu citra yang bekerja dengan menggantikan intensitas nilai pixel dengan rata-rata dari nilai pixel tersebut dengan nilai pixel-pixel tetangganya. Aplikasi pada penelitian ini diimplementasikan dengan menggunakan bahasa pemrograman VB.Net.2008 dan database menggunakan Mysql. Kata Kunci : Metode Geometric Mean Filter, Pengolahan Citra Digital, Reduksi noise]]>
<![CDATA[Analysis of Disease in Plants Guava Demspter Shafer Method Using Web Based in the village of Paradise Sei Rampah: Analysis of Disease in Plants Guava Demspter Shafer Method Using Web Based in the village of Paradise Sei Rampah ]]>
<![CDATA[Adjie Bintang Pamungkas]]>;
<![CDATA[Fristi Riandari]]>
<![CDATA[ Jurnal Mantik Vol. 3 No. 3 (2019): November: Manajemen, Teknologi Informatika dan Komunikasi (ManTIK) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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<![CDATA[Cashew water is known by the Latin name Syzgiumaqueum. According to experts there are two subgroups taxonomy guava, guava fruit is small that the average acid (Syzygium aqueum) and large fruit guava and sweet (Syzqium samarangense). In terms of cultivation, handling guava honey was not easy. During this time the problem occurred in the field is the lack of knowledge of the owner of the types of pests and plant diseases guava honey so frequent misdiagnosis resulted in delays in menagani plant pests and diseases. In analyzing or diagnosing diseases in plants guava honey, the author uses the method Dempster Shafer. With the expert system analysis of the disease can help owners in knowing the disease and how to handle them. Dempster Shafer is a mathematical theory of evidence based belief functions and plausible reasoning (function beliefs and thoughts that makes sense) are used to combine separate pieces of information to calculate the probability of an event. Testing applications using the programming language PHP and MySQL database]]>
<![CDATA[Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method: Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method ]]>
<![CDATA[Roimasro Sibagariang]]>;
<![CDATA[Fristi Riandari]]>
<![CDATA[ Jurnal Mantik Vol. 3 No. 3 (2019): November: Manajemen, Teknologi Informatika dan Komunikasi (ManTIK) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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<![CDATA[Wood in the furniture company is a material that is needed in the manufacture of a product, for example in the manufacture of cabinets or other furniture products. Furniture companies at this time often have problems in determining wood for good quality and lack of knowledge in good wood specifications to be used as materials for making wood crafts, furniture companies only think of orders and do not consider the results of craftsmanship produced from raw materials is wood where to determine a production in order to get quality that is of a quality wood drought must be considered.]]>
