METODE SPATIAL DURBIN MODEL UNTUK ANALISIS DEMAM BERDARAH DENGUE DI KABUPATEN BANTUL

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.

Strategi Mengatasi Penyebab Surging Mesin Diesel Penggerak Utama di MT. ONTARI

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.

IMPLEMENTASI NATURAL LANGUAGE PROCESSING (NLP) UNTUK APLIKASI PENCARIAN LOKASI

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.

Kajian Transformasi Indeks Vegetasi Citra Satelit Sentinel-2A untuk Estimasi Produksi Daun Kayu Putih Menggunakan Linear Spectral Mixture Analysis

A forest plantation area of Melaleuca cajuputi at BDH Karangmojo, BKPH Yogyakarta are 2,325.20 ha. One of the efforts to keep its sustainability is to plan the target and realization of cajuputi leaf production considerwith forest condition. Advances in remote sensing technology can be an alternative in estimating the cajuputi leaf production on large areas with an efficient time and high accuracy and able to analyze the quality of cajuputi. This study aims to examine Sentinel-2A capabilities through a relationship model of some vegetation indices integrated with vegetative factors on the production to obtain estimates of leaf production, map and test the estimation model accuracy. The method used is to classify objects in pixels with Linear Spectral Mixture Analysis and build relationship between age, number of plants and vegetation index with cajuputi leaf production. The results showed that the unmixing method has 99,66% accuracy in classifying pixels into the fraction of cajuputi. MERIS Terrestrial Chlorophyll Index of unmixing cajuputi fraction simultaneously with age and number of plants has the highest correlation with value of r = 0,668 to the production and modeled in mapping the estimated cajuputi leaf production at the research location with Standard Error of Estimate is 0,183.

Analisis Pengaruh Gempa Tektonik 10 Juli 2013 Terhadap Perubahan Koordinat Stasiun Pantau Segmen Mentawai

Mentawai Segment is located in Mentawai Islands, Sumatra, Indonesia. This segment is a subduction zone between Indo-Australian plate and Eurasian plate. This subduction zone can lead to high potential of tectonic earthquake in Mentawai Segment. The high potential of tectonic earthquake has negative impact for the community, so it is necessary to monitor the risk of tectonic earthquake in Mentawai Segment. This monitoring can be done by using GPS data of monitoring station that spread in Mentawai Segment. Therefore, this research aims to analyze the effect of tectonic earthquake on the coordinate change of Mentawai Segment, so that it can reduce the risk of negative impact of tectonic earthquake in Mentawai Segment. This research use observation data of 10 continuous GPS monitoring station (Sumatran GPS Data Array / SuGAr) in Mentawai Segment. Day of observation data was day of year (doy) at the time of tectonic earthquake occurence on July 10, 2013. Data processing used GAMIT / GLOBK software. The results of this research indicate that the tectonic earthquake (July 10, 2013) affected coordinates changes of the SuGAr station significantly two hours after the tectonic earthquake occurred.

Interpretasi Electrical Resistivity Tomography (ERT) untuk Pendugaan Air Tanah Dangkal pada Formasi Gunungapi Muda

Aquifers or groundwater saturated areas in the slope morphology of Merapi volcano are relatively thin due to massive rock outcrops above the surface. Because these massive igneous rocks dominate the local geological appearance, the groundwater potential on the upper foot slope is relatively lower than the lower one that has thicker aquifer materials (sand). This study was designed to investigate the thickness of potential groundwater and identify the aquifer materials by geoelectrical methods using the Electrical Resistivity Tomography (ERT) configuration. ERT has several advantages, including its ability to present multi-log lithology vertically and produce a more detailed surface appearance. In this study, rock resistivity values were measured with a survey line stretching across 250 m. The geoelectrical imaging produced actual values (potential values) of the rock resistivities through the matching curve and inversion techniques. Afterward, the actual resistivities were matched with the standard electrical resistivity of rocks and their respective hydrogeological characteristics, i.e., the capacity to store and transmit water. Interpretation on rock resistivities detected groundwater at a depth of 0.5-12 m in Manisrenggo. This shallow aquifer has an impermeable layer composed of igneous rocks, which are massive breccia, that lie in one layer of sand. According to the Groundwater Basin Map, these rock formations are part of the Karanganyar-Boyolali Groundwater Basin. The shallow aquifers and hydraulic gradient lead to the emergence of seeps or flushes on the soil surface.

Evaluasi Kualitas Susu Kambing Etawa Yang Dikoleksi dari Peternakan Berskala Kecil Di Wilayah Samigaluh, Kulon Progo

Peranakan Etawa (PE) Goat is a type of superior goat that is very potential to be maintained as a dairy goat. Food safety guarantee of animal origin becomes very important in order to prevent and spread disease from animal to human. So it takes an effort in terms of quality control of food of animal origin, especially goat's milk. This study aims to determine the quality of PE goat milk which is maintained by farmers in small farms. The study was conducted on 15 samples of goat milk collected in the region of Samigaluh, Kulon Progo. The research used a method of testing the quality of milk in the laboratory that includes testing the physical condition of milk and milk composition. Testing the physical condition of milk consists of testing of cleanliness, color, odor, and taste. Testing of milk composition consist of degree of acid, reductase, fat content, calculation of total bacteria by Total Plate Count (TPC) method. The data obtained are then analyzed descriptively. The results showed milk samples were clean, yellowish, typical odor of fresh milk, and had a slightly sweet taste. Mean of acid degree 7,1°SH, mean of reductase rate 2 hour, mean of fat content 4,53% and mean total bacteria 2,8 x 105 CFU ml. These results indicate that the quality of goat milk included in the category worth to be consumed with sufficient quality. The quality of goat's milk is influenced by the type of feed given and the nutrient composition in the feed type.

Monitoring Perubahan Pola Alur Sungai Menggunakan Citra Satelit Resolusi Spasial Menengah Berbasis Spectral Classification

The development of remote sensing technology allows humans to acquire and process data remotely and temporally. Changes in the flow of the Progo river from the last few years are significant, this can be caused by natural factors and human factors. The influence of the intensity of flow and the level of sedimentation in the Progo river causes a massive flow pattern change in the Progo river body. The data used in this research is Medium Spatial Resolution Satellite Imagery, Landsat 5 satellite imagery acquired in 1995 and Landsat 8 acquired in 2017. Monitoring of changes in river flow pattern is generally done by using the method of terrestrial or conventional measurement, which takes a long time, for that the use of methods and remote sensing data can be used to save time. The method used is multispectral classification approach with maximum likelihood algorithm. The results of extraction using digital classification method (maximum likelihood) resulted in the appearance of flow pattern quickly and representative, so this method is suitable for the purpose of rapid detection of changes in flow pattern. The results obtained from the extraction of the Progo river flow pattern show an intricate river flow pattern with many river rubbers on the image appearance of 1995, whereas in the image extraction results in 2017 the river banks and turns do not look dominant, it shows that erosion and sedimentation activities continue to occur massively.

Analisis Efektivitas Mesin pada Divisi Pengalengan Jamur Di PT. Suryajaya Abadiperkasa Menggunakan Metode Overall Equipment Effectiveness

PT Suryajaya Abadiperkasa is a food canning industry. Nowadays, many companies are looking up for the alternatives to increase the company revenue by making a continous improvement in every process. This study has three aims to be achieved. First, knowing the value of availability rate, performance rate, and quality rate. Second, to determine the major cause which affecting the effectiveness value of the production machine. Third, to obtain the alternatives improvement to increase the machine effectivity. Overall Equipment Effectiveness (OEE) is a method to determine the effectiveness level of equipment utilization. The OEE method is known as one of the program applications of Total Productive Maintenance (TPM). This study measures the value of OEE in the production line of mushroom canning within two months. The values of this study are, availability rate is 89.99%, performance rate is 65.13%, and quality rate is 99.76%. From those data, the obtained calculation value of OEE is 58.71%, it shows that it has not reach yet the best practice (85%) and need an improvement. The Losses in PT Suryajaya Abadiperkasa are breakdown losses, setup and adjustment losses, idle and minor stoppage losses, and defect losses. The alternatives improvement are tightening the maintenance schedule, as well as inspection before and after use on the machine. This maintenance is supported by a focus on the TPM pillar of self-improvement, which changes the workers’ mindset, to change the mindset of the workers there should be an education and training to improve the ability of workers.

Mempertahankan Bangunan Lama Ramah Lingkungan Di Kawasan Kampus Universitas Gadjah Mada Yogyakarta

This study aims to (1) analyze of the old buildings in the green building environment of Green Building Council Indonesia (GBCI); and (2) looking for best alternatives in managing the building by maintaining the old building in order to meet the criteria of environmentally friendly. The sample in this research is building at Civil Engineering Building Vokasi Universitas Gadjah Mada. Methods in eco-friendly building measurements use the criteria in greenship GBCI version 1.1 through observation. The best alternative model in eco-friendly building used best available and best achievable technology for buildings. The results showed that: (1) the building at the Department of Civil Engineering Vocational School of Gadjah Mada University meets the criteria of environmentally friendly in accordance with GBCI greenship of 29.63%; and (2) eco-friendly model of green building management on maintenance of buildings by saving energy, reducing waste and pollution, and using non-toxic materials.