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Jurnal Nasional Teknologi Terapan
Published by Universitas Gadjah Mada
ISSN : 26139235     EISSN : 26155877     DOI : -
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Jurnal Nasional Teknologi Terapan is a six-monthly open access journal which publishes research papers and critical review papers in Bahasa Indonesia only. JNTT covers research findings in the aspect of applied sciences, such as agroindustry, veterinary, forest management, civil engineering, electrical engineering, geomatics engineering,electrical engineering, remote sensing and geographic information system.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 3 Documents
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Search results for , issue "Vol 3, No 2 (2019): NOVEMBER" : 3 Documents clear
IMPLEMENTASI NATURAL LANGUAGE PROCESSING (NLP) UNTUK APLIKASI PENCARIAN LOKASI Irkham Huda
Jurnal Nasional Teknologi Terapan (JNTT) Vol 3, No 2 (2019): NOVEMBER
Publisher : Penelitian dan Pengabdian Kepada Masyarakat Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jntt.35036

Abstract

Pencarian lokasi menjadi salah satu kebutuhan masyarakat dewasa ini terbukti dengan banyaknya penyedia layanan pemetaan. Untuk mencari lokasi dengan referensi relasi spasial tertentu, pengguna mendeskripsikannya dengan bahasa natural. Maka untuk membuat sistem pencarian lokasi yang mampu memahami masukan pengguna diperlukan implementasi Natural Language Processing (NLP). Penelitian terkait implementasi NLP untuk aplikasi pencarian lokasi masih dirasa perlu terutama karena belum adanya implementasi penelitian tersebut yang mendukung Bahasa Indonesia, sedangkan penelitian terkait yang sudah ada hanya mendukung Bahasa Inggris dengan cakupan terbatas.Dalam penelitian ini dikembangkan Sistem NLP untuk Aplikasi Pencarian Lokasi dikenal dengan NaLaMap. Basis data lokasi yang dimanfaatkan adalah Open Street Map (OSM) dan digunakan aplikasi web sebagai client untuk studi kasus. Dalam mentransformasikan kalimat masukan pencarian lokasi menjadi query spasial, Sistem NLP yang dibangun melalui lima tahapan utama yaitu Tokenisasi, POS Tagging, NER Tagging, Normalisasi Entitas, dan Penyusunan Query. Kemudian query yang berhasil disusun dijalankan pada basis data lokasi berbasis OSM sehingga diperoleh hasil pencarian yang akan ditampilkan melalui peta pada aplikasi client.Hasil uji coba sistem secara keseluruhan menggunakan 45 kalimat masukan dari responden, diperoleh hasil yang cukup bagus dengan nilai precision 0,97 dan recall 0,91. 
Strategi Mengatasi Penyebab Surging Mesin Diesel Penggerak Utama di MT. ONTARI Afdolludin Afta Tazani
Jurnal Nasional Teknologi Terapan (JNTT) Vol 3, No 2 (2019): NOVEMBER
Publisher : Penelitian dan Pengabdian Kepada Masyarakat Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jntt.58389

Abstract

Turbocharger is a component to increase the amount of air that enters the cylinder by using exhaust gas energy. Very high quality gas turbocharger.The research method used in this research is descriptive qualitative method. Data analysis techniques use the SWOT method to analyze the factors that cause surging of the Main Movers Diesel Engine and the efforts made to overcome the factors associated with strengthening, weakness, opportunities, and protection.Based on the results of research conducted by researchers, the cause of the rise in Diesel Engine The main driving force is caused by two factors, namely the escape of compression during combustion due to oversize cylinder liner and spare parts of the main engine supply on the ship is hampered. To overcome the factors that can be done using cylinder liner that has been oversized, reducing the rotation of the main engine so that the exhaust gas is more stable, reducing the consumption of cylinder oil to reduce sludge in the rinse air chamber, using a blower to be manual to increase the rinse air to normal pressure during the engine operation, reconditioning the spare parts Parent engines such as crown pistons and piston rings by repairing so that they can be used again temporarily waiting for parts to arrive on board, and making spare parts purchases with boat money on spare parts that are lightweight and inexpensive for maintenance and repair of main engine spare parts.
METODE SPATIAL DURBIN MODEL UNTUK ANALISIS DEMAM BERDARAH DENGUE DI KABUPATEN BANTUL Marthin Luter Laia; Rahmat Deswanto; Erma Shofi Utami; Rokhana Dwi Bekti
Jurnal Nasional Teknologi Terapan (JNTT) Vol 3, No 2 (2019): NOVEMBER
Publisher : Penelitian dan Pengabdian Kepada Masyarakat Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jntt.64246

Abstract

Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus which is transmitted through the bite of the Aedes aegepty and Aedes albopictus mosquitoes which are widespread in homes and public places throughout the territory of Indonesia. The high number of DHF cases in Bantul Regency, Indonesia is an indication that eradication of Aedes aegepty mosquitoes and Aedes albopictus mosquitoes has not succeeded in the Bantul Regency. Spatial Regression is an analysis that evaluates the relationship between one variable with several other variables by providing spatial effects in several locations that are the center of observation. Three type of models are Spatial Autoregressive Model (SAR), Spatial Error Model (SEM), and Spatial Durbin Model (SDM). This study uses secondary data in 2017 in Bantul Regency, Special Region of Yogyakarta, Indonesia. The dependent variable is DHF cases and the independent variables are medical personnel and health facilities in each sub-district. The spatial model used is SDM. Based on Moran’s I test, there was a spatial autocorrelation about DHF among sub-district, so the spatial model can be used. The durbin spatial model gives the result that all estimation parameters in SDM model have  P value less than α = 5%, so that medical personnel and health facilities significantly affect dengue cases in Bantul Regency. Keywords: dengue hemorrhagic fever, moran’s I test, spatial durbin model. 

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