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PENERAPAN DATA MINING UNTUK MEMPREDIKSI PEMESANAN BIBIT POHON DENGAN REGRESI LINEAR BERGANDA Panggabean, Devi Sari Oktavia; Buulolo, Efori; Silalahi, Natalia
JURIKOM (Jurnal Riset Komputer) Vol 7, No 1 (2020): Februari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i1.1947

Abstract

Data mining, often also called knowledge discovery in database (KDD), is an activity that includes collecting, using historical data to find order, patterns or relationships in large data sets. Outputs from data mining can be used to improve future decision making. Problems that often occur in BPDASHL are estimation problems such as weather, difficulties in planting, lack of labor, lack of experience in tree nurseries, and different soil conditions. Another problem that is found in agencies is that they do not have a system to predict estimated tree seedlings orders every year so that a method is needed, namely the Multiple Linear Regression Algorithm. So with this was made the Application of Data Mining To Predict Ordering Tree Seeds With Multiple Linear Regression. Multiple Linear Regression Algorithms which are methods that support estimating or predicting order targets for the coming period. Algorithm testing is done using SPSS software. From the results of the research that has been done, it can help BPDASHL to make it easier to predict the ordering of seeds using SPSS Software 
IMPLEMENTASI DATA MINING UNTUK PENGATURAN LAYOUT MINIMARKET DENGAN MENERAPKAN ASSOCIATION RULE Maharani, Maharani; Hasibuan, Nelly Astuti; Silalahi, Natalia; Nasution, Surya Darma; Mesran, Mesran; Suginam, Suginam; Sutiksno, Dian Utami; Nurdiyanto, Heri; Buulolo, Efori; Yuhandri, Yuhandri
JURIKOM (Jurnal Riset Komputer) Vol 4, No 4 (2017): Agustus 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v4i4.686

Abstract

Istilah data mining sudah berkembang jauh dalam mengadaptasi setiap bentuk analisa data, penelitian ini berupaya mengembangkan strategi bisnis penyusunan layout produk yang disesuaikan dengan pola pembelian pelanggan di indomaret. Salah satu teknik data mining yang digunakan untuk merancang strategi penyusunan layout produk yang efektif dengan memanfaatkan data transaksi penjualan yang telah tersedia di perusahaan dengan menggunakan metode association rule. Teknik ini dapat menemukan pola berupa produk-produk yang sering dibeli secara bersamaan. Penelitian ini bertujan untuk menerapkan associstion rule kedalam penyusunan layout produk. Dari rule yang dihasilkan harapkan dapat membantu perusahaan memudahkan dalam penyusunan layout produk.
IMPLEMENTASI ALGORITMA APRIORI UNTUK MENENTUKAN POLA DATA PENYAKIT PADA ANAK USIA DINI (STUDI KASUS: RS. ESTOMIHI) Purba, Citra Verawati; Buulolo, Efori
JURIKOM (Jurnal Riset Komputer) Vol 7, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i2.2113

Abstract

Hospital is a place to treat patients with different types of diseases, and hospitals are also one of the health services that are medical, healing and recovery for patients. Many people who want to seek treatment at the hospital both parents and including  early  childhood. Based on this, researchers are interested in looking for patterns from large-scale data and associating data with one another using the Apriori algorithm. Thus, the diseases suffered by early childhood can be classified based on the medical record data, so that the  pattern of early childhood disease can be known. The information produced can be used by the Hospital and the doctors on duty at the hospital to take the necessary actions in order to prevent the spread of a disease and also reduce the risk of death of patients suffering from disease
Aplikasi View Remote Camera CCTV Dengan Android Untuk Monitoring Kegiatan Mahasiswa Dilaboratorium Komputer Pada STMIK Budidarma Medan Azanuddin, Azanuddin; Buulolo, Efori
Jurnal TIMES Vol 6, No 1 (2017)
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.983 KB)

Abstract

Sistem pemantauan yang umum dipakai, menggunakan kamera Closed Circuit Television (CCTV) yang dihubungkan dengan televisi atau komputer untuk menampilkan hasil capture kamera. Sistem ini mempunyai kelemahan hasil tangkapan kamera hanya dapat diakses dari tempat yang relatif dekat.  Untuk mengatasi masalah tersebut dibuat sebuah aplikasi yang mampu mengakses hasil capture kamera CCTV melalui handphone, yaitu monitoring kegiatan mahasiswa di laboratorium komputer dengan kamera CCTV yang dapat diakses dengan handphone menggunakan jaringan internet. Sehingga pengaksesan kamera CCTV bisa dari jarak yang relatif jauh dari posisi kamera berada. Pada aplikasi ini, kamera CCTV dihubungkan ke Digital Video Recording (DVR) untuk proses perekamannya, untuk proses pengaksesannya, handphone mengakses IP Publik atau DNS suatu modem internet yang modem tersebut sudah dihubungkan dengan perangkat DVR.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN BUAH RAMBUTAN DENGAN KUALITAS TERBAIK MENGGUNAKAN METODE WEIGHTED PRODUCT (WP) Zai, Yosa`aro; Mesran, Mesran; Buulolo, Efori
MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.137 KB)

Abstract

Decision support systems are generally defined as a system capable of producing solutions and problem-solving. Decision support systems are not intended to replace decision-making roles, but to assist and support decision makers. In the role of decision support systems in the overall context of information systems aimed at improving performance through the application of information technology and determine the approach used in the decision-making process, to evaluate the interactive selection. One of the most commonly used methods in decision support systems is the Weighted Product (WP) method.
PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT ASIDOSIS TUBULUS RENALIS MENGGUNAKAN METODE CERTAINTY FACTOR DENGAN PENULUSURAN FORWARD CHAINING Fanny, Rahmi Ras; Hasibuan, Nelly Astuti; Buulolo, Efori
MEDIA INFORMATIKA BUDIDARMA Vol 1, No 1 (2017): Maret 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.137 KB)

Abstract

Renal tubular acidosis and commonly referred to as kidney disease, especially in the renal tubules, according to some scientific medical fields of renal tubular acidosis are quite rare, with clinical manifestations that are not specific so that the diagnosis is often delayed. In normal circumstances, the kidneys absorb the acid of the metabolic waste from the blood and throw it into the urine. The cause of renal tubular acidosis disease is due to hereditary factors or may result from medications. Forward Chaining is a search method or tracking technique that begins with existing information merging rules to produce a conclusion or goal. This advanced tracking is great if it works with problems that start with the initial information recording and the final completion, as the whole process will be done in sequential order.
PENERAPAN DATA MINING UNTUK ESTIMASI PENJUALAN OBAT BERDASARKAN PENGARUH BRAND IMAGE DENGAN ALGORITMA EXPECTATION MAXIMIZATION (STUDI KASUS: PT. PYRIDAM FARMA TBK) Nainel, Yane Laheroi; Buulolo, Efori; Lubis, Ikwan
JURIKOM (Jurnal Riset Komputer) Vol 7, No 2 (2020): April 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v7i2.2097

Abstract

Data mining, often also called knowledge discovery in database (KDD), is an activity that includes the collection, use of historical data to find regularities, patterns or relationships in large data sets. The output of data mining can be used to improve decision making in the future. PT. Pyridam Frama Tbk is a multi-national company that produces pharmaceuticals. The problems that often occur at PT Pyrida Farma are estimation problems such as out of stock of goods at distributors, lack of labor, running out of raw materials at the factory. Another problem contained in the agency is that it does not yet have a system to predict the estimated drug sales each year, so we need an algorithm, the Expectation Maximization Algorithm. then with this made the Application of Data Mining for Estimating Drug Sales Based on the Effect of Brand Image. Expectation Maximization algorithm which is a method that supports in estimating or predicting sales target estimates for the coming period. Algorithm testing is done using SPSS and MYSQL software. From the results of research that has been done it can help the PT. Pyridam Farma to make it easier to predict drug sales estimates by using SPSS Software
IMPLEMENTASI KOMBINASI ALGORITMA GOST PADA KEAMANAN DATA TEXT DAN KOMPRESI DATA MENGGUNAKAN ALGORITMA DMC Afnita, Devi; Buulolo, Efori; Sitompul, Noferianto
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.348 KB) | DOI: 10.30865/komik.v2i1.904

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Cryptography comes from the word crypto which means secret and graphy which means writing. So cryptography can be interpreted as a secret writing. The term can be defined as the study of mathematical techniques related to information security. To send information quickly with a large enough file size, it will certainly take a long time. This delivery speed depends on the size of the information sent. One solution to overcome this problem is by placing (compression) data before sending using a compression algorithm with the principle to reduce the size of the file, so that when the delivery process can be done quickly. The purpose of this study was to combine Government Standard (Gost) encryption algorithms and Dynamic Markov Compression (DMC) compression algorithms.Keywords: Cryptography, Government Standard (Gost), Dynamic Markov Compression (DMC).
PEMANFAATAN ALGORITMA CLASSIFICATION AND REGRESSION TRESS (CART) UNTUK MEMPREDIKSI OMSET SPANDUK PADA CV.MOEHA ADVERTISING Siregar, Alan Bangun; Buulolo, Efori; Ginting, Permanan
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 1, No 1 (2017): Intelligence of Cognitive Think and Ability in Virtual Reality
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.348 KB) | DOI: 10.30865/komik.v1i1.520

Abstract

As the development of Information Technology Education World is increasingly going to need a problem to solve a problem in the company that is about an existing turnover, using the method of Classification And Regression Tress (CART), Revenue is an important component in information information in the income statement , When the income is higher than the cost that has been charged then the company. Or if the opposite situation is lower than the cost that has been charged then the company suffered losses, For example CV. Moeha Advertising which produces promotional items banners, seen from the type of materials used, the amount of ink used and the size of the banners to be printed, will be determined the price and number of banners that will be appropriate. The existence of day-to-day operational data activities will increase in number. If left alone, then the transaction data is only a waste that is not meaningful. With the support of technology, the ability to collect and process data.
IMPLEMENTASI DATA MINING PENYESUAIAN JENIS LENSA TERHADAP KEBUTUHAN PASIEN DENGAN MENGGUNAKAN ALGORITMA C4.5 Saragih, Hosianna; Buulolo, Efori; Waruwu, Fince Tinus
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 1, No 1 (2017): Intelligence of Cognitive Think and Ability in Virtual Reality
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.348 KB) | DOI: 10.30865/komik.v1i1.481

Abstract

Sulitnya memprediksi kebutuhan jenis lensa pada pasien, merupakan kendala yang dihadapi para pegawai di Optik Melawai dan membuat para pasien bingung dalam memilih jenis lensa yang sesuai dengannya. Sehingga para pegawai harus dapat mengambil keputusan yang tepat dan cepat guna memberikan pelayanan yang baik serta kepuasan kepada pasien dan membantu para pasien dalam memilih jenis lensa yang sesuai dengan mata pasien. Keputusan yang diambil harus mempertimbangkan dengan baik berdasarkan data - data yang dimiliki, terutama yang berkaitan erat dengan data pemeriksaan pasien. Penerapan algoritma C4.5 merupakan salah satu solusi yang digunakan dalam pemecahan masalah pada teknik klasifikasi yang memiliki karakteristik yaitu dengan proses penentuan nilai entropy dan nilai gain dari kemungkinan setiap kriteria yang menjadi acuan keputusan yang dilanjutkan dengan proses perangkingan dari hasil keputusan. Dalam memecahkan masalah yang ada, akan lebih simpel dan mudah dalam pengerjaannya, karena pengambilan keputusan yang sebelumnya kompleks dan sangat global, dapat diubah menjadi lebih simpel dan spesifik. Dari hasil pengujian, aplikasi yang dibangun maupun melakukan penerapan algoritma c4.5 dengan terbentuknya pohon keputusan sebagai bahan analisis keputusan memprediksi jenis lensa.