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All Journal Jurnal Manajemen Teknologi Prosiding Semnastek Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Jurnal Transportasi: Sistem, Material, dan Infrastruktur Indonesian Journal of Life Cycle Assessment and Sustainability Makara Journal of Technology
Isti Surjandari
Fakultas Teknik, Departemen Teknik Industri, Universitas Indonesia
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation Other

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Journal : Makara Journal of Technology

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Adoption of Variable Rate Technology Surjandari, Isti; Batte, Marvin T.
Makara Journal of Technology Vol. 7, No. 3
Publisher : UI Scholars Hub

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Abstract

Site Specific Management (SSM), which also variously referred to as Variable Rate Technology (VRT), is an emerging technology that enables producers to make more precise input application decisions based on soil and field characteristics. This study analyzes factors influencing the adoption of VRT for fertilizer application for cash grain production in Ohio. Results show that producer and field characteristics might influence the adoption decision on various SSM components differently. It also provides insight as to the sequence of adoption of SSM component technologies and how this sequence might differ for producers of differing characteristics.
Internet Traffic Forecasting Model Using Self Organizing Map and Support Vector Regression Method Laoh, Enrico; Agustriwan, Fakhrul; Megawati, Chyntia; Surjandari, Isti
Makara Journal of Technology Vol. 22, No. 2
Publisher : UI Scholars Hub

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Abstract

Internet traffic forecasting is one of important aspect in order to fulfill the customer demand. So, the service quality of internet service provider (ISP) can be maintained at the good level. In this study self-organizing map (SOM) and support vector regression (SVR) algorithm are used as forecasting method. SOM is first used to decompose the whole historical data of traffic internet into clusters, while SVR is used to build a forecasting model in each cluster. This method is used to forecast ISPs traffic internet in Jakarta and surrounding areas. The result of this study shows that SOM-SVR method gives more accurate result with smaller error value compared to that of the SVR method.
Co-Authors Ade Supriatna ADE SUPRIATNA Agustriwan, Fakhrul Akhmad Hidayatno Amar Rachman Anita Titiani Widari, Anita Titiani Annury Seruni Arian Dhini Arief A. R. Setiawan Batte, Marvin T. Bayu Sukmana Deny Hamdani Edi Iswanto Wiloso Esther Widya Impola Lumbantobing, Esther Widya Impola Irfan Prawiradinata, Irfan Jade Sjafrecia Petrociany Laoh, Enrico Mario Miranda Mario Miranda, Mario Marvin Batte Marvin Batte, Marvin Maya Arlini Puspasari Megawati, Chyntia Mohammed Ali Berawi Muhammad Riefqi, Muhammad Muryanto . Nurman Wibisana, Nurman Nyoman Suwartha Pahlevi, Dewa Ferrouzi Diaz Zhah Perdana Miraj Purdianta Purdianta Rarasati, Ayomi Dita Rosma, Rizqina Sinaga, Evi Jesika Solly Aryza T. Yuri Zagloel, T. Yuri Yusuf Latief