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All Journal Information Technology and Telematics Dinamik Jupiter Publikasi Eksternal Jurnal Buana Informatika Pixel : Jurnal Ilmiah Komputer Grafis JUITA : Jurnal Informatika Proceeding SENDI_U Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL ILMIAH INFORMATIKA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science Building of Informatics, Technology and Science Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Manajemen Informatika dan Sistem Informasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Teknik Elektro dan Komputasi (ELKOM) JATI (Jurnal Mahasiswa Teknik Informatika) Aiti: Jurnal Teknologi Informasi Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurnal Teknik Informatika (JUTIF) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Informatika Teknologi dan Sains (Jinteks) Maritime Park: Journal Of Maritime Technology and Socienty Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Eduvest - Journal of Universal Studies Seminar Nasional Teknologi dan Multidisiplin Ilmu Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) INOVTEK Polbeng - Seri Informatika
Eri Zuliarso
Universitas Stikubank
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Neuroscience Social Sciences

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Journal : Information Technology and Telematics

 1 
PREDIKSI PENJUALAN BUKET BUNGA DENGAN METODE EXPONENTIAL SMOOTHING Astuti, Vivi Rizki Indri; Zuliarso, Eri
Information Technology and Telematics Vol 8 No 2 (2018)
Publisher : Information Technology and Telematics

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Abstract- Sales is an activity that aims to find, influence and give instructions to buyers in order to adjust their needs with the products offered and enter into agreements regarding prices that are beneficial to both parties. A common problem faced by Bouquet of Flowers is how to predict or forecast the sale of interest in the future based on previous sales data. The method used to predict sales in this case is the single exponential smoothing method. The single exponential smoothing method will try to get sales forecasts and can be seen in the picture of sales fluctuations. In this method forecasting is done by repeating calculations continuously using the latest data, each of the latest data is given a greater weight.The final result of this study is the prediction of Bouquet Flower sales with exponential smoothing method with a value of α = 0.5 obtained MSE value of 220.408.848.886.482, the value of α = 0.7 obtained MSE values ​​of 245.896.287.781.153, the value of α = 0.8 obtained MSE value of 262,328,991,357,180 and the value of α = 0.9 obtained an MSE value of 281,555,575,487,970. Of the three values ​​α = 0.5, α = 0.7, α = 0.8 and α = 0.9, the smallest MSE value is α = 0.5 so the prediction of Buket Bunga sales with exponential smoothing method uses the value α = 0 , 5
PENERAPAN DATA MINING MENILAI KEBERHASILAN SISWA SMK PETRA TIMIKA MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER Kogoya, Erminus; Zuliarso, Eri
Information Technology and Telematics Vol 8 No 2 (2018)
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Abstrak - SMK Petra Timika merupakan sekolah menengah kejuruan yang berada di Kabupaten Mimika Papua. SMK Petra Timika memilik 504 siswa dan 3 jurusan yang terdiri dari TKJ, perkantoran dan akutansi. Siswa merupakan salah satu aspek penting dalam evaluasi keberhasilan penyelenggaraan program studi pada suatu SMK Petra Timika. Pemantauan siswa yang masuk, peningkatan kemampuan siswa, prestasi yang dicapai siswa, rasio kelulusan terhadap jumlah total siswa dan kompetensi lulusan harus mendapatkan perhatian yang serius untuk memperoleh kepercayaan masyarakat Timika khususya dalam menilai dan menetapkan penggunaan lulusannya. Penerapan data mining menilai keberhasilan siswa SMK Petra Timika menggunakan metode Naive Bayes Classifier menggunakan data siswa TKJ sebanyak 30 data siswa. Siswa yang dinyatakan berhasil adalah siswa dengan nilai Naive Bayes Classifier > 0,1 sebanyak 20 siswa dengan prosentase 20/30 * 100 % = 67 %sedangkan siswa yang dinyatakan gagal adalah siswa dengan nilai Naive Bayes Classifier <= 0,1sebanyak 10 siswa dengan prosentase 10/30 * 100 % = 33 %.
WEB SERVICE DENGAN METODE REPRESENTATIONAL STATE TRANSFER (REST) UNTUK SMART CAMPUS UNISBANK DENGAN FRAMWORK CODEIGNITER Rezal Arminto, Edo; Zuliarso, Eri
Information Technology and Telematics Vol 8 No 2 (2018)
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ABSTRACT University of Stikubank started On April 28, 1968 from July 5, 2001, officially STMIK, STIBA and STIH Stikubank has changed shape and joined UNIVERSITAS STIKUBANK Semarang, the advancement of technology in the field of web and android very fast then smart campus which is only mobile web in develop the author to be Smart campus based on android. Data collection method used is observation method, interview and literature study. Methodology of system development in this research use Prototype methodology. The result of this research is creating smart campus application based on android, and in its management research using Codeigniter Framework with Representational Transfer method so that applicator is easy to take student data and safe from hacker.
WEB SERVICE PADA APLIKASI SMART CAMPUS UNISBANK BERBASIS ANDROID Zuliarso, Eri; Wibowo, Sayogo
Information Technology and Telematics Vol 8 No 2 (2018)
Publisher : Information Technology and Telematics

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ABSTRACT Stikubank University is one of the universities in the city of Semarang. With the rapid technological advances, the campus information system, which was originally developed by the author, became an Android-based Smart Campus application. Data collection methods used are methods of observation, interviews and literature studies. The system development methodology in this study uses the Waterfall methodology. The results in this study are the creation of a smart campus application that is based on android, and in its research management using the AngularJS Framework and the Cordova Framework by using web service technology, the android application can easily obtain student data and can be utilized for the convenience of accessing information.
RANCANG BANGUN APLIKASI PENENTUAN LETAK BARANG PADA TOKO PREMBUN DENGAN METODE ASSOCIATION RULE DATA MINING Kusuma Satria, Hafiyan Nafan; Zuliarso, Eri
Information Technology and Telematics Vol 8 No 2 (2018)
Publisher : Information Technology and Telematics

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Abstract - The problems that occur in the Prembun Store are related to the arrangement of the goods, so far, the arrangement of the items in the Prembun Shop uses the rules of arrangement based on the type of goods, size, and characteristics of the goods. Item position regulation The Prembun store only uses management subjectivity in arranging goods in the store and has not seen in terms of consumer behavior. Another problem is that there are two types of items based on chemical properties that cannot be brought close to the raw food and insect drugs. Then the arrangement of goods is still not neat. Whereas shop layout that is neatly structured and oriented to consumer desires can be a plus for the store to attract consumer shopping. The association rule method is one of the main techniques in data mining and is the most commonly used form of finding patterns or patterns of a data set. The design of the application to determine the location in the Prembun Store with the data mining rule association method is a search system that contains processing data from transactions, then look for relationships between the items they lead. This information can provide additional information for Prembun Stores in retrieval of results to determine the location items on the Prembun Store shelf.
Co-Authors . Sulastri . Suwarsito Aditya Bobby Rizki Allaam, Ekananda Naufal Amalina, Hana Anefia Mutiara Atha ariadi, hastomo Arief Jananto Ariyani, Dewi Ayu Arya Sena Setyanegara Astuti, Vivi Rizki Indri Bambang Wiranto, Joko Cahyono Purbomartono Dewi Handayani Untari Ningsih Dian Kristiawan Nugroho Dwi Agus Diartono Dwi Budi Santoso Edy Winarno Fathoni, Aliffatul Majid Februarianti, Herny Fidiniari, Fathia Gunadi, Ilham Hastomo Ariadi Herny Februariyanti Herny Februariyanti Hersatoto Listiyono Hindayati Mustafidah Indah Widhi Prastika Indriani, Cheryllista Isworo Nugroho Khabib Mustofa Kogoya, Erminus Kusuma Satria, Hafiyan Nafan Mardi Siswo Utomo Munna, Aliyatul Nur Rohim Nurmakhlufi, Alfin Hilmy Putra Alva, Ilyasa Garuda Putri, Indah Lissiana R. Soelistijadi Radyanto, Mohammad Riza Rara Sri Artati Redjeki Ratmoko, Hari Rezal Arminto, Edo Rina Candra NS Rizky Abdul Malik Rosyida, Elviana Ruslana, Zauyik Nana S Sunardi Safra, Icha Adellia Safra, Kyla Kaneshia Sariyun Naja Anwar Sri Eniyati Sri Hartati Sudiantoro, Adhi Viky Sugiyamto Sugiyamto, Sugiyamto Sulastri Sulastri Sulastri Sulastri Sulatri sulis, Sulistiyowati Sunardi Sunardi Velamentosa, Desvio Wahyu Prasetyo Wibowo, Sayogo Wismarini, Th Dwiati Yassin Achmad Nur Aziz Yohanes Suhari Yunus Anis Yunus Anis, Yunus Yuwan, Ridho Pangestu Zulfa Febriana Dewi Mellinia