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<![CDATA[Komparasi Metode Klasifikasi Data Mining Decision Tree dan Naïve Bayes Untuk Prediksi Penyakit Diabetes ]]>
<![CDATA[Permana, Baiq Andriska Candra]]>;
<![CDATA[Patwari, Intan Komala Dewi]]>
<![CDATA[ Infotek : Jurnal Informatika dan Teknologi Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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<![CDATA[Diabetes is a group of metabolic diseases which is indicated by the occurrence of hyperglycemia caused by abnormalities in insulin secretion in the body. Many deaths are caused by diabetes, if this disease is not treated immediately, diabetes can cause damage to other organs such as blindness, stores, heart problem and even kidney problem. A best method is needed in classifying diabetes in order to detect diabetes early. Research related to the classification of diabetes using several calcification methods has been done before. In this study, two classification methods were compared, namely decision tree and naïve Bayes. Measurement methods were carried out through cross validation. The results obtained from this study are the best algorithms among the two algorithms to determine diabetes sufferers]]>
<![CDATA[Penerapan Algoritma C4.5 Pada Analisis Penentuan Kelayakan Penerima Bonus Tahunan Pegawai Bank Sinarmas Multifinance ]]>
<![CDATA[Permana, Baiq Andriska Candra]]>;
<![CDATA[Dewi, Intan Komala]]>
<![CDATA[ Infotek : Jurnal Informatika dan Teknologi Vol 2, No 2 (2019): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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<![CDATA[Data mining merupakan suatu rangkaian proses yang memberikan nilai tambah berupa informasi terhadap suatu kumpulan data yang selama ini tidak diketahui secara manual. Pada data mining dilakukan penggalian data dengan tujuan memanipulasi data tersebut agar menjadi informasi yang lebih berharga, yang dikemudian hari diharapkan dapat bermanfaat untuk membantu memutuskan kelayakan pegawai dalam menerima bonus disetiap tahunnya.Kelayakan pegawai untuk menerima bonus setiap tahun menggunakan algoritma C4.5 dilihat berdasarkan beberapa variable atau kriteria yang sudah ditetapkan dan akan menghasilkan suatu pohon keputusan. Dari pohon keputusan tersebut akan diambil pengetahuan baru berupa aturan yang dijadikan sebagai pola dalam pengambilan keputusan. Teknik seperti ini nantinya akan dapat membantu seorang pemimpin dalam mengambil suatu keputusan apakah seorang pegawai layak atau tidak untuk diberi bonus.DOI : 10.29408/jit.v2i2.1430]]>
<![CDATA[Prediksi Kepuasan Mahasiswa Terhadap Tingkat Pelayanan Menggunakan Algoritma C4.5 (Decision Tree) (Studi Kasus : Fakultas Teknik Universitas Hamzanwadi) ]]>
<![CDATA[Permana, Baiq Andriska Candra]]>
<![CDATA[ Infotek : Jurnal Informatika dan Teknologi Vol 1, No 1 (2018): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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<![CDATA[Universities both state and swaste make various efforts to win the competition in attracting students, among others by providing various facilities and services that can provide satisfaction for students. One of them is the Faculty of Engineering, Hamzanwadi University. This study is aimed at analyzing student satisfaction with the services obtained so far at the Hamzanwadi University Faculty of Engineering using data mining techniques, namely by using C4.5 algorithm or commonly known as the decision tree. Some of the attributes used in this study are to analyze the level of student satisfaction with the services contained in the Faculty of Engineering of the University of Hamzanwadi: costs, facilities, service and loyalty. After the experiments were carried out on datasets obtained from questionnaires for 100 students, the results of accuracy were 81.07%. The classification results using the C4.5 algorithm of 81.07% are considered to be used to measure the level of student satisfaction with services at the Hamzanwadi University Faculty of Engineering.DOI : 10.29408/jit.v1i1.892]]>
<![CDATA[RANCANG BANGUN SISTEM PENGIRIMAN BERKAS BERMASALAH BERBASIS ONLINE DI DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL KABUPATEN LOMBOK TIMUR ]]>
<![CDATA[Permana, Baiq Andriska Candra]]>;
<![CDATA[Fatthuriadi, Fatthuriadi]]>;
<![CDATA[Ahmadi, Hamzan]]>
<![CDATA[ Infotek : Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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<![CDATA[During this time, the process of sending files between the Department of Population and Civil Registration with Technical Implementation Unit is still using a manual system, it makes the process of resolving problematic files has been slow which has an impact on public dissatisfaction to government services. This study aims to assist the local office in overcoming these problems by utilizing existing internet networks and building an online-based system for sending the problem files. This research using waterfall method to develop software systems by having an ordered software life path that starts from analysis, design, coding and testing. With an online-based system, file transfers can be done quickly and the number of problem files can be recorded automaticallyDOI : 10.29408/jit.v3i1.1792]]>
<![CDATA[PENGGUNAAN METODE NN UNTUK MENGUKUR PENGARUH WEB PROMOSI DAN FAKTOR HARGA TERHADAP PENJUALAN KAIN TENUN OLEH PENGRAJIN DI PRINGGASELA LOMBOK TIMUR ]]>
<![CDATA[Permana, Baiq Andriska Candra]]>;
<![CDATA[Gunawan, Indra]]>;
<![CDATA[Ahmad, Ramli]]>
<![CDATA[ Infotek : Jurnal Informatika dan Teknologi Vol 2, No 1 (2019): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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<![CDATA[Selling woven fabric products using an online system will certainly lead to lower production costs and lower selling prices. Online selling requires a concept and a mature mind to find out important things that can attract consumers to visit the website and make purchases. With this research the seller will get an overview of the things that can attract consumers to purchase woven fabric based on several variables studied, like the promotion website and the selling price of woven fabric. From this variables seller can find out which variable has the most influence on the buyer's decision to purchase Lombok woven fabric, in this case the researcher conducted a study on this matter by analyzing using the Neural Network (NN) model. Base on the analysis that has been done, a result is obtained, where the variables that have the greatest influence on the purchase decision of woven fabric are prices and websites with an accuracy level of PRED (.25) of 95%.DOI : 10.29408/jit.v2i1.975]]>
<![CDATA[Komparasi Metode Klasifikasi Data Mining Decision Tree dan Naïve Bayes Untuk Prediksi Penyakit Diabetes ]]>
<![CDATA[Baiq Andriska Candra Permana]]>;
<![CDATA[Intan Komala Dewi Patwari]]>
<![CDATA[ Infotek: Jurnal Informatika dan Teknologi Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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DOI: 10.29408/jit.v4i1.2994
<![CDATA[Diabetes is a group of metabolic diseases which is indicated by the occurrence of hyperglycemia caused by abnormalities in insulin secretion in the body. Many deaths are caused by diabetes, if this disease is not treated immediately, diabetes can cause damage to other organs such as blindness, stores, heart problem and even kidney problem. A best method is needed in classifying diabetes in order to detect diabetes early. Research related to the classification of diabetes using several calcification methods has been done before. In this study, two classification methods were compared, namely decision tree and naïve Bayes. Measurement methods were carried out through cross validation. The results obtained from this study are the best algorithms among the two algorithms to determine diabetes sufferers]]>
<![CDATA[Penerapan Algoritma C4.5 Pada Analisis Penentuan Kelayakan Penerima Bonus Tahunan Pegawai Bank Sinarmas Multifinance ]]>
<![CDATA[Baiq Andriska Candra Permana]]>;
<![CDATA[Intan Komala Dewi]]>
<![CDATA[ Infotek: Jurnal Informatika dan Teknologi Vol 2, No 2 (2019): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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DOI: 10.29408/jit.v2i2.1430
<![CDATA[Data mining merupakan suatu rangkaian proses yang memberikan nilai tambah berupa informasi terhadap suatu kumpulan data yang selama ini tidak diketahui secara manual. Pada data mining dilakukan penggalian data dengan tujuan memanipulasi data tersebut agar menjadi informasi yang lebih berharga, yang dikemudian hari diharapkan dapat bermanfaat untuk membantu memutuskan kelayakan pegawai dalam menerima bonus disetiap tahunnya.Kelayakan pegawai untuk menerima bonus setiap tahun menggunakan algoritma C4.5 dilihat berdasarkan beberapa variable atau kriteria yang sudah ditetapkan dan akan menghasilkan suatu pohon keputusan. Dari pohon keputusan tersebut akan diambil pengetahuan baru berupa aturan yang dijadikan sebagai pola dalam pengambilan keputusan. Teknik seperti ini nantinya akan dapat membantu seorang pemimpin dalam mengambil suatu keputusan apakah seorang pegawai layak atau tidak untuk diberi bonus.DOI : 10.29408/jit.v2i2.1430]]>
<![CDATA[Penggunaan Metode Backpropagation Pada Jaringan Syaraf Tiruan Untuk Intrusion Detection System ]]>
<![CDATA[Ramli Ahmad]]>;
<![CDATA[Bq Andriska Candra Permana]]>;
<![CDATA[Amri Muliawan Nur]]>
<![CDATA[ Infotek: Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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DOI: 10.29408/jit.v3i2.2317
<![CDATA[Convenience is the main goal of existence of technology this days, but over time these technological advancements have made user privacy increasingly difficult and become a cause of concern. The existence of IDS (Intrusion Detection System ) is believed to help in achieving security in network usage where this detection system work by observing abnormal network behavior. IDS emphasizes the need to use artificial neural network to detect these attack. From the research tht has been done, the use of artificial neural network with a learning rate of 0.1 has been applied and the KDDCup-99 dataset has been used to train and make network benchmarks. To conduct a comparison, training has also been carried out on the same dataset using several other learning algorithms. The number of layer used in this artificial neural network start from 1 to 5, and the result have been compared so that the conclusion said that the artificial neural network with 3 layers has a superior performance compare to other machine learning algorithms.DOI : 10.29408/jit.v3i2.2317]]>
<![CDATA[Penerapan Sistem Pakar Untuk Diagnosa Penyakit Kucing Pada Aplikasi Berbasis Android Dengan Metode Forward Cahining ]]>
<![CDATA[Baiq Andriska Candra Permana]]>;
<![CDATA[Muhammad Djamaluddin]]>;
<![CDATA[Muhammad Afandi]]>;
<![CDATA[Hariman Bahtiar]]>
<![CDATA[ Infotek: Jurnal Informatika dan Teknologi Vol 5, No 1 (2022): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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DOI: 10.29408/jit.v5i1.4444
<![CDATA[Technological advances can be used in various sectors of life, one of the benefits of this technology is the use of android in expert systems. Expert systems can replace the role of an expert where users can get information or solutions to a problem without having to meet directly with an expert. One of the several uses of expert systems is to diagnose disease in animals early. Cats are cute and adorable animals that are commonly kept by many people. However, cats are often affected by diseases caused by viruses, bacteria or parasites. It is very important for cat owners to find out the disease suffered by the cat early. The use of the forward chaining method applied to an android-based cat disease expert system can be used by cat keepers to detect disease in cats early , and with this application owners can save time and energy costs because they get cat disease information faster without having to meet directly with experts]]>
<![CDATA[RANCANG BANGUN SISTEM PENGIRIMAN BERKAS BERMASALAH BERBASIS ONLINE DI DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL KABUPATEN LOMBOK TIMUR ]]>
<![CDATA[Baiq Andriska Candra Permana]]>;
<![CDATA[Fatthuriadi Fatthuriadi]]>;
<![CDATA[Hamzan Ahmadi]]>
<![CDATA[ Infotek: Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Hamzanwadi ]]>
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DOI: 10.29408/jit.v3i1.1792
<![CDATA[During this time, the process of sending files between the Department of Population and Civil Registration with Technical Implementation Unit is still using a manual system, it makes the process of resolving problematic files has been slow which has an impact on public dissatisfaction to government services. This study aims to assist the local office in overcoming these problems by utilizing existing internet networks and building an online-based system for sending the problem files. This research using waterfall method to develop software systems by having an ordered software life path that starts from analysis, design, coding and testing. With an online-based system, file transfers can be done quickly and the number of problem files can be recorded automaticallyDOI : 10.29408/jit.v3i1.1792]]>
