THE PROCESS OF TEACHING ENGLISH TO THE FOURTH GRADE STUDENTS OF SD AL-FIRDAUS SURAKARTA

2015. English Diploma Program, Faculty of Cultural Sciences, Sebelas Maret University. This final project report was written based on the job training done by the writer in SD Al-Firdaus Surakarta. The objectives were to describe the process of teaching English to the fourth grade students, to describe the problems encountered by the writer, and to describe the solutions to the problems. The writer did an observation on the first day of the job training. The result of the observation was used as an initial reference in arranging lesson plan. The lesson plan was used to keep the writer on track when teaching a certain material in the class. In the teaching process, the writer had a class procedure which consists of three steps, they are: preparation, explanation, and exercise. There were some problems encountered by the writer. The first problem was the students’ attention, and the second one was unequal level of speed in acquiring the material given. The writer also provided some solutions to the problems; for example, increasing his voice volume or warned the noisy students, and giving a personal attention to the students with slower speed in acquiring the new materials. The writer tried to build a personal link between teacher and students

IMPROVING SAFTEY PERFORMANCE IN CONSTRUCTION PROJECTS IN LIBYA (CASE STUDY : IN TRIPOLI CITY)

Abstract In both developed and developing countries, the construction industry is considered to be one of the most significant industries in terms of its impact on health and safety of the working population. Construction industry is both economically and socially important. However, the construction industry is also recognized to be the most hazardous. The objectives of this research are to investigate the safety performance in the construction sites. The data were collected from the contractors, consultant, and owners by using questionnaire to evaluate the safety performance in the construction sites. In total, there were 40 questionnaires which were distributed to respondents, with a response rate of 75%. The results show that there was still a lack of commitment from the government, the insurance company, the labor ministry, the owners, consultants, and also the contractors to improving safety performance on the construction sites. The suggestion is to improve the safety performance on the construction sites. The government should follow up the safety performance by visiting the construction sites. The insurance company should be more active in visiting the construction sites. The owners should be more active towards the safety by controlling, visiting the process in the construction sites. The contractors have to train the workers and promote the safety culture and follow up the safety performance. The consultants should control all the tools in the construction sites to insure that those tools are safe. Keywords: Safety performance, construction project, Tripol

The Iteratively Regularized Newton Method for Reconstructing Image of Microwave Tomography

The iteratively regularized Newton method has been investigated to obtain stable solutions of Microwave Tomography inverse problems. The problem is presented in term of minimization of the difference between measured scattered field and the guessed field which is calculated from initial guess of the exact solution. The iterative sequence is defined based on the Newton method, in which, decreasing sequence of positive number regulates the ill-posed operator of the nonlinear problem. The method proposed is tested using numerical example and compared with non-iterative regularization method

Tinjauan Ulang Daya Dukung Dan Penurunan Pondasi Bored Pile Pada Pembangunan Jalan Layang Kapt. Tendean – Blok M – Cileduk, Paket Santa Section P10 – P11

Foundation is one of important component for fly over construction, since the foundation, it would retain working loads at above. Soil investigation is very required to design a foundation, especially bor-logging to make sure a depth of hard layer. Because of this project has the depth of hard layer more than 20 meters, it ought to use pile foundation. Bor-Pile is selected because it could be fit to condition around the project. Recalculation is performed on fly over construction project of Kapt. Tendean – Blok M – Cileduk, Package of Santa Section P10 - P11. Calculation of foundation bearing capacity and settlement is conducted apply manual using Terzaghi and Meyerhof methods and also Allpile software computer program. Calculation of foundation bearing capacity for one pile at P10 using Terzaghi and Meyerhof methods according to SPT P10 data resulted Qall= 580,6 ton, and SPT P11 found Qall= 751,5 ton. Calculation of group pile foundation using efficiency value of Converse-Labarre methods at P10 equal 0,82 is obtained Qpg = 1911,2 ton while at P11 with efficiency value equal 0,75 is resulted Qpg = 2277,9 ton. Settlement group pile foundation at P10 Sg = 8,1 cm and at P11 Sg = 8,86. Based on results from Allpile software at P10 is obtained Qall = 754,1 ton, Qpg = 3016,7 ton , at P11 Qall = 392,5 ton, Qpg = 515,9 ton. Settlement group pile foundation at P10 = 0,15 cm and at P11 = 0,56 cm

Hasil Turnitin Media Komunikasi Teknik Sipil, Volume 22, No 1, tahun 2016, an. Bambang Purwanggono dengan judul "Analisis Perbandingan Pengaruh Penggunaan Flyslab dan Plat Floordeck dalam Mewujudkan Lean Construction"

Nowadays there are several kinds of products innovations in the construction industry, one of whom is a precast concrete slab. In fact, products of innovation are not necessarily fully able to provide a positive impact, both in terms of cost, quality, time, and waste on building construction projects. Moreover, what is offered by the manufacturer of precast concrete slab has not necessarily correspond with the needs of the customer. The purpose of this study is to analyze the comparison of products in terms of time, cost, quality, and waste between projects using precast concrete slab and the same projects that were simulated using floordeck concrete slab. This research will: (1) simulate the project if not using precast concrete slab product, (2) analyze the comparison of products in terms of time, cost, quality, and waste between the real project and the simulation project, (3) calculate the benefits obtained from the use of precast concrete slab product. The use of flyslab at Pertamina Parking Building Project (which consists of three floors and two floors using flyslab) when compared with the results of the simulation project that uses floordeck concrete slab: (1) in terms of time, it can provide a savings of 12.5% of the total duration of the simulation project, (2) in terms of costs, it can provide costs savings on the total cost structure reaches 23.13%, (3) in terms of quality, flyslab constituent materials are designed to have a higher quality when compared to floordeck concrete slab constituent materials, (4) in terms of waste, on a project that uses flyslab, the amount of waste generated is much less when compared to the results of the simulation project that uses a floordeck concrete slab. Keywords: Cost, Flyslab, Quality, Time, Waste

CNN Classification of Malaria Parasites in Digital Microscope Images Using Python on Raspberry Pi

Malaria disease occurs because the plasmodium parasite infects human red blood cells spread by female Anopheles mosquitoes and then causes health problems such as blood deficiency and even death. The gold standard of malaria diagnosis is to use laboratory microscopy examination of the patient's red blood cell samples to distinguish between microscope images of parasitic and non-parasitic red blood cells. However, diagnosing malaria through microscope observation is time-consuming, subjective, and tiring for health workers. So, a malaria classification system was designed using the Convolutional Neural Network (CNN) method to distinguish parasitic and non-parasitic red blood cell images. The CNN model is trained using training data and also tested using test data. Then, the CNN training model is embedded on a Raspberry Pi equipped with a Graphical User Interface to facilitate observer interaction through the LCD screen on this digital and portable microscope. The CNN classification rate achieved an accuracy value of 97.88% using the database image and 98.76% using the digital microscope acquisition image. The CNN classification system of malaria parasites designed on a Raspberry Pi-based digital and portable microscope is expected to improve the diagnosis of malaria and reduce the infection rate of malaria patients, especially in various remote areas in Indonesia

Deteksi Malaria Berbasis Segmentasi Warna Citra dan Pembelajaran Mesin

Di beberapa daerah di Indonesia, malaria masih merupakan salah satu penyakit endemik dan termasuk ke dalam kategori penyakit menular dengan vektor nyamuk Anopheles. Penurunan jumlah mortalitas penderita malaria ini telah menjadi program Pemerintah Indonesia dan World Health Organization. Salah satu hal penting yang dapat dilakukan adalah menyediakan alat diagnosis malaria yang cepat dan akurat berbantukan komputer. Oleh karena itu, pada studi ini dikembangkan sebuah metode deteksi malaria berbasis segmentasi warna citra yang dikombinasikan dengan metode pencacahan objek citra dan pembelajaran mesin berbasis Convolutional Neural Network. Pada studi ini, segmentasi citra dilakukan dengan menetapkan suatu nilai ambas batas tertentu (thresholding) pada model warna HSV. Nilai ambang batas untuk masing-masing kanal warna ditetapkan sebagai berikut: H = 100-175, S = 100-250, dan V = 60-190. Terdapat tiga skema pembelajaran mesin yang digunakan, yaitu citra asli menggunakan RMSProp optimizer, citra tersegmentasi menggunakan RMSProp dan Adam optimizer. Akurasi pelatihan dan validasi CNN tertinggi diperoleh dengan skema citra tersegmentasi menggunakan RMSProp optimizer, yaitu sebesar 92,77% dan 94,38%. Sementara, deteksi malaria berbasis pencacahan objek memiliki akurasi sebesar 93,78%. Meskipun deteksi malaria berbasis pencacahan objek memiliki akurasi 93,78%, tetapi sumber daya komputasi dan waktu yang diperlukan jauh lebih rendah.AbstractMalaria is still one of the endemic diseases in several regions of Indonesia. Reducing the malaria mortality rate has become a notable programme, not only does the Government of the Republic of Indonesia project it, but also the World Health Organization has a similar plan to tackle this disease. One of the prominent concerns to properly promote this programme is providing a rapid and accurate malaria diagnosis tool by applying the computer-aided diagnostics to minimize human errors. The aim of this study is to develop a colour microscopic image-based malaria detection using object counting and CNN-based machine learning. In this research, the HSV colour model with threshold values of H: 100-175, S: 100-250, and V: 60-190 was used to remove the image background. There are three machine learning schemes implemented in this study, i.e. original image using RMSProp optimizer, segmented image using RMSProp and Adam optimizer. The highest training and validation accuracy of CNN were obtained using a segmented image scheme by the RMSProp optimizer, 0.9277 and 0.9438. On the contrary, object-based malaria detection has an accuracy of 93.78%. Furthermore, there are several considerations to determine the malaria detection method, i.e. accuracy, computational resources, and time. Even though malaria detection using object counting has an accuracy of 93.78%, lower than the accuracy of CNN validation, the computational resources and time required are much lower and faster. Therefore, this detection method is suitable for smartphone-based devices with low-middle end specifications

Analisis Hubungan Antara Tingkat Pendidikan Dan Perilaku Berisiko Dengan Angka Kejadian Demam Berdarah Dengue (DBD) Di Desa Mayangrejo

Dengue hemorrhagic fever emerges in tropical countries like Indonesia. Bojonegoro is one of the highest districts with increased cases in East Java. The high incidence of dengue hemorrhagic fever in Bojonegoro is riveting to be explored related to some causative factors, including education and community behavior. Moreover, education affects an individual level of knowledge, which will impact a person's behavior that potentially affects the public health degree, especially the incidence of dengue hemorrhagic fever. This study aimed to determine the relationship between education and risky behavior in dengue hemorrhagic fever incidence in Mayangrejo Village, Bojonegoro Regency, East Java. A cross-sectional approach was used within a total population of 302 participants, and the Lemeshow sampling technique reached 67 respondents. Data were collected using a questionnaire distributed to residents' homes, while the Fisher's Exact Test was used for data analysis. The results showed a significant relationship between behavior and the incidence of dengue hemorrhagic fever (p-value = 0.024), and there was a relationship between education level and the incidence of the disease (p-value = 0.022). Performing health education and undertaking one House one Jumantik program is then recommended.

Mapping genomic loci implicates genes and synaptic biology in schizophrenia

Schizophrenia has a heritability of 60-80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies