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All Journal Jurnas Nasional Teknologi dan Sistem Informasi Riau Journal of Computer Science IT JOURNAL RESEARCH AND DEVELOPMENT INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat JURNAL TEKNOLOGI DAN OPEN SOURCE Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Zonasi: Jurnal Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Pengabdian Masyarakat Multidisiplin Jurnal Ilmu Komputer Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Teknik Informatika J-COSCIS : Journal of Computer Science Community Service JAIA - Journal of Artificial Intelligence and Applications Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat SATIN - Sains dan Teknologi Informasi RJOCS (Riau Journal of Computer Science)
Mhd. Arief Hasan, Mhd. Arief
Universitas Lancang Kuning
Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : IT JOURNAL RESEARCH AND DEVELOPMENT

 1 
IoT Dalam Agrobisnis Studi Kasus : Tanaman Selada Dalam Green House Nurliana Nasution; Muhammad Rizal; David Setiawan; Mhd Arief Hasan
IT Journal Research and Development Vol. 4 No. 2 (2020)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5917.414 KB) | DOI: 10.25299/itjrd.2020.vol4(2).3357

Abstract

Petani membutuhkan informasi pertanian dan pengetahuan yang relevan untuk membuat keputusan yang berpengetahuan dan untuk memenuhi kebutuhan informasi. Penerapan Teknologi Informasi dan Komunikasi (TIK) telah terbukti memperluas peluang untuk mempromosikan pertanian pada beberapa aspek dan domain di negara berkembang. Internet of Things (IoT) merupakan sebuah paradigma dalam teknologi komunikasi yang terbaru saat ini yang membuat konsep zaman depan semakin lebih tampak, di mana semua benda di kehidupan sehari-hari akan dibekali dengan perangkat mikrokontroler, teknologi wireless digital, dan kumpulan protokol-protokol sesuai yang membuat mereka saling berkomunikasi antar satu dengan lainnya dan kemudian pengguna, menjadi bagian integral dari Internet. Konsep IoT ada bertujuan agar internet lebih imersif dan meresap. Selain itu, dengan memungkinkan akses dan interaksi yang mudah dengan perangkat elektronis lainnya. Teknologi IoT sangat tepat untuk di realisasikan pada bidang pertanian hal ini dikarenakan fungsi elektronisasi yang disediakan oleh IoT mampu menjawab semua tantangan yang di miliki oleh para petani. Sensor-sensor yang dimiliki IoT mampu dalam mendeteksi tingkat kesuburan tanah, pengendalian penyakit maupun hama. Dan juga teknologi wireless yang ada mampu untuk mendeteksi cuaca dan iklim. Kemudian produk teknologi IoT mampu dalam penjadwalan otomatisasi penyiraman, penyemprotan pestisida dan pemupukan. Oleh karenanya tim peneliti sangat tertarik untuk mengembangkan Teknologi IoT dalam agribisnis pertanian.
Classification Analysis of Unilak Informatics Engineering Students Using Support Vector Machine (SVM), Iterative Dichotomiser 3 (ID3), Random Forest and K-Nearest Neighbors (KNN) Sunaryanto, Hadi; Hasan, Mhd Arief; Guntoro, Guntoro
IT Journal Research and Development Vol. 7 No. 1 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.8912

Abstract

This research is entitled “Classification Analysis of the Study Period of Informatics Engineering Study Program Students at Unilak with the Support Vector Machine (SVM), Iterative Dichotomiser 3 (ID3), Random Forest and K-Nearest Neighbors (KNN)" method. an attempt to understand whether there are factors that influence the length of a student's study period. Basically, the length of the study period is not a measure of a student's non-academic academic ability, but most people judge that students with a study period of more than 8 semesters or long are not good. Therefore, the researcher chose to classify the factors that affect the length of the student's study period at the Faculty of Computer Science, Lancang Kuning University. This study uses 4 (four) calculation methods. With the several methods used, the authors can compare the results of the four calculation methods so that they can determine which method is better calculated. The result of this research is a comparison between 4 (four) calculation methods in determining which method has good classification ability
Forecasting Simcard Demand Using Linear Regression Method Sitompul, Monica; Hasan, Mhd Arief; Devega, Mariza
IT Journal Research and Development Vol. 8 No. 1 (2023)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2023.12202

Abstract

The purpose of this research is to get a prediction of how package card growth will be based on sales data from SINAR E-XIX CELL. The method used for this forecasting is linear regression, based on the number of card packs sold which is the causal variable. The accuracy of predictions is carried out using Python based on the results of research conducted with data on simcard sales over a period of two years, it was found that in the following year the number of growth in demand for sim cards in the coming year has decreased, but there is one card that has experienced an increase in the number of growth in the following year. which will come. Forecasting using Linear Regression can be said to be classified as very well based on using python. After doing the forecasting it can be concluded that in the next few years the demand for cards will be less.
Co-Authors Adnan, Govindo Agung Kurniawan Ahmad Zamsuri, Ahmad Al Fajar, Muhammad Alexander, Jonatan Alfajar, Muhammad Amri, Fadilah Aprizald, Aprizaldi Bhaskoro Maghribi, Aulia Bimby, Novia Carlo Pratama Silalahi, Ricky Daffa Ardiansyah, Muhamad David Setiawan David Setiawan David Setiawan, David Debi Setiawan, Debi Di Juni, Padina Dwi Putri, Shania Dwi Wahyu Handoyo Erwin Darmawan Ewa Haris Sembiring Fadrial, Yogi Ersan Fajar Kesuma, Andika Fajar, Muhammad Al Fajrizal Fajrizal Fajrizal, Fajrizal Fatkuroji, Moh Feldiansyah Bakri Nasution Feldiansyah Feldiansyah Feldiansyah Feldiansyah Feldiansyah Nasution Feldiansyah, Feldiansyah Feraldi, Riyan Guntoro, Guntoro Gyna Rahmi Fajri Handoyo, Dwi Wahyu Hartono Tambunan, Rezky Hidayat, Ibnu Irawan, Marigel Irsando, Irsando Jordan Sirait, Michael Khairuna, Aida Khasbulla Ridwan, Mohammad Kurniawan, Veby Leonard, Willyam Loneli Costaner Mahmud, Farid Marco Bilbo, Ronaldo Mariza Devega Megawati Menzona, Redico MIFTAHUL JANNAH Moh. Fatkuroji Muhamad Sadar Muhamad Sadar, Muhamad Muhammad Al Fajar Muhammad Fitra Hamidy Muhammad Luthfi MUHAMMAD RIZAL Nasution, Feldiansyah Nur Iman, Muhamad Nurliana Nasutio Nurliana Nasution, Nurliana Nurmala Sari Patulus Rahmat Tambunan, Salam Rahmawati, Ningsi Raihan Siddik, Muhammad Rama Putra, Muhammad Ramadhan, Hardiansyah Raphaela Mei Lanny Br Aritonang, Gloria Refnaldi kurniawan saputra Rezky, Rafael Rianto Rianto Rifski Alvares Bangun, Gilang Roma Umboh, Joyful Sadar, M. Sasqia Ismi Aulia Sembiring, Rafael Rezky Sihombing, Riyan Feraldi Simorangkir, Jansihar Sitompul, Monica Sri Putri Sitompul, Yefita Sri Utami Lestari Stefanus, Vito Stephen Siahaan, Michael Sudarso SUDARSO Sunaryanto, Hadi Supriadi Supriadi Suranta Sipayung, Rizky Sutejo Sutejo Sya'banu Ahmad Tulus Parmonangan Uyun Harahap, Qurrotul Walhidayat Walhidayat Widiyanto, Septian Yitro Amazihono Yogi Yunefri, Yogi Yuhendri Putra Zamzami Zamzami Zamzami, Zamzami