Strategi Goal Setting Untuk Meningkatkan Motivasi Belajar Mahasiswa Ptm Unnes Mata Kuliah Kinematika Dan Dinamika

The purpose of this study was to determine the effect of goal setting methods on learning outcomes of students of PTM in a kinematics and dynamics course. The subjects were PTM students even semester of 2011/2012, Engineering Faculty UNNES. This research is motivated by the lack of student learning outcomes in the earlier half of the semester-indicated because of lack of motivation in learning. This study used an experimental method. The population was 45 students in one class, divided into 2 groups, control class and experiment. Each subject in the study period of 7 lessons given the task to make a goal at the end of the course as well as a weekly goal. Series of goals made by the subject is placed on the the wall to give positive affirmations. At presence measurement, goal setting gives a significant number to the difference in the number of student attendance. Data for quiz grades showed that the effect of this method was not significant. This study shows that the goal setting can be applied to increase student motivation. It would be better if supported by increasing self-awareness through the control of behavior

Analisis Pengaruh Variasi Waktu Tahan dan Temperatur Tempering terhadap Sifat Kekerasan Material Crossbar yang di Hardening sebagai Solusi Kegagalan pada Crossbar

Clinker cooler adalah alat yang berfungsi mentrasportasikan clinker menuju hammer crusher. Salah satu bagian dari clinker cooler adalah Crossbar. Crossbar sering mengalami crack sehingga mengurangi umur pakai dari clinker cooler. Dalam penelitian ini, dilakukan analisis kegagalan dari Crossbar dan solusi dari kegagalan tersebut berupa hardening dan tempering. Pengujian yang dilakukan untuk menganalisis material ini adalah uji komposisi, uji streomikroskop, uji SEM, metalografi, dan uji kekerasan Berdasarkan pengujian OES dan kekerasan, faktor yang kegagalan adalah kesalahan dalam pemilihan material yang ditinjau dari komposisi material, kekerasan material. Solusi dari kegagalan ini yaitu perlakuan panas yang dapat menghasilkan kekerasan yang sesuai dengan standar kekerasan ASTM A48 adalah hardening dan tempering 300oC dengan waktu tahan 120 menit, hardening dan tempering 350oC dengan waktu tahan 120 menit, hardening dan tempering 400oC dengan waktu tahan 120 menit, dan hardening dan tempering 300oC dengan waktu tahan 60 menit

Pengembangan Permainan Edukatif Ragam Budaya Nusantara Berbasis Android

This research aims to develop a game software that can be used as an alternative means of learning media in Indonesian local culture for the community in the form of the game in the Android operating system. The methodology used in this study is the Multimedia Development Life Cycle (MDLC) sourced from Luther and has been modified by Sutopo, which consists of six stages, namely the concept, design, collection of material, manufacture, testing, and distribution. Testing applications that have been created using black-box method, which is carried out to check the functions contained in the application. The process of application testing is done by using a questionnaire. The testing is done objectively by asking ratings from users of the application. Therefore, the results of the study that were obtained using black-box method, indicates that the game is already working according to specifications needed to show test results for each application functions and buttons. And the results of the questionnaire data obtained by the average score of all ratings amounted to 84%. And it can be concluded that the applications made are well-qualified

Perbaikan Kinerja Penanganan Kargo Ikan Tuna; di Terminal Kargo Bandar Udara Internasional Soekarno Hatta

The objectives of this study were 1) to identify the tuna cargo handling conducted in the export warehouse of PT. XYZ, 2) to determine the main variables that affect the performance of tuna cargo handling in the export warehouse of PT. XYZ, and 3) to determine what policies can be used to improve the performance of tuna cargo handling in the export warehouse of PT. XYZ. This research was conducted by using the descriptive methodology i.e. a discrete simulation model of the process of tuna cargo handling in the export warehouse of PT. XYZ by utilizing ARENA software. In the policy making of tuna cargo handling improvements, the Analytical Network Process, Benefit, Opportunity, Cost, and Risk (ANP BOCR) were also used. The simulation results point out that the existing conditions contribute to the delay level of tuna cargo delivery by 12% with the quality level of 22,934%. Delays in tuna cargo delivery have led to an increase in operational costs by 1,5%. ANP BOCR results highlight that opening a special lane for perishable cargo handling will improve the performance of tuna cargo handling in the export warehouse of PT. XYZ. Furthermore, the results of discrete model simulations on the improvement scenario of tuna cargo handling performance show that by opening a special lane for perishable cargo handling, it can ensure delivery schedule to be accurate indicated by the level of on time delivery reaching up to 100%, with an average quality rate of 86.013%. By speeding up the processing period (with an average of 81.519 minutes), the delay of cargo delivery up to 100% will be reduced; therefore, the quality of tuna is maintained in a good condition with the histamine level of 6,7 ppm

Penerapan Logika Fuzzy Menggunakan Metode Mamdani dalam Optimasi Permintaan Obat

Planning a good drug supply at the puskesmas is needed to support health services provided by the puskesmas, in addressing the problem of planning drug requests to suit the needs that exist, the researcher uses Mamdani method in fuzzy form that are making fuzzy set, application of rule function, composition rule, affirmation (defuzzy) using method of MOM (Mean of Maximum). Parameters used are initial stock, receipt, preparation, use, ending and demand stock. The calculation was performed using data for 2 years, and it was done 1 year to compare the results of the Health Centre request and the system request. From the test results, the total system demand is smaller than the total demand for Puskesmas, so the system optimization is obtained at 7.623% for 3 drug data so that it can increase the efficiency of the budget funds of Rp. 3,168,223, so it can be concluded that the Fuzzy Mamdani method is a method that provides optimal solution

Sistem Pendukung Keputusan Calon Penerima Raskin dengan Metode Polygons Area Method (Pam) di Kelurahan Airnona-kota Kupang

Raskin (Beras Miskin) is one of the Indonesian government programs to help reduce the expenditure of the poor people. This program is conducted by Bulog and Local Government. Raskin distribution procedure at Airnona sub-district is still using manual method, that those who will receive Raskin is submitted by RT, so that a Decision Support System (DSS) is needed to help handle the problem. The PAM (Polygons Area Method) method is one of the methods in DSS which can help solve unstructured problems. This study uses 8 criteria namely, monthly income, quantity of dependents, floor area of the house, the type of house floor, type of the house wall, assets, lighting source, and drinking water source. System test is done by comparing the ranking system with the name issued by Dinas Sosial. This test uses 66 interview data with 2016 recipient data resulting in similarity rate of 43% and unsimilarity rate is 57%. During then analysis on several data the conclusion is system able to provide good result

IMPLEMENTASI CASE BASED REASONINGUNTUK MENDIAGNOSIS PENYAKIT TUBERKULOSIS MENGGUNAKANALGORITMA K-NEAREST NEIGHBOR

Case-Based Reasoning produces a solution based on similarities to previous cases. New case solutions result from the placement of similarities with old cases. In this reseach the authors applied CBR to diagnose tuberculosis. System knowledge sources are obtained by collecting medical records of tuberculosis patients in 2014-2016. Calculation of similarity values using the K-Nearest Neighbor algorithm with a thereshold value of 80%. This system can diagnose 3 types of tuberculosis based on 25 symptoms. The system output consists of the type of tuberculosis based on the symptoms experienced by the patient, treatment solutions and presentation of similarities between new cases and old cases. Based on the results of testing with 51 cases the results: (a) testing with 3 new case scenarios obtained the accuracy of each system for data scenarios obtained by 31 training data (60% of 51 cases) and 20 test data (40% of 51 cases) accuracy is 63%, the second scenario accuracy obtained with 35 training data (70% of 51 cases) and 16 test data (30% of 51 cases) accuracy is 69.2% and the third scenario accuracy obtained with 41 training data (80% of 51 cases) and 10 test data (20% of 51 cases) accuracy is 90%. (b) The results of testing of the old cases in the case base obtained 100% accuracy of the system.—Penalaran Berbasis Kasus menghasilkan solusi berdasarkan kemiripan terhadap kasus-kasus yang pernah terjadi sebelumnya. Solusi kasus baru dihasilkan dari pencocokan kemiripan dengan kasus lama. Pada penelitian ini penulis menerapkan CBR untuk mendignosa penyakit tuberkulosa. Sumber pengetahuan sistem diperoleh dengan mengumpulkan berkas rekam medis pasien tuberkulosis pada tahun 2014-2016. Perhitungan nilai kemiripan menggunakan algoritma K-Nearest Neighbor dengan nilai batas kewajaran 80%. Sistem ini dapat mendiagnosis 3 jenis penyakit tuberkulosis berdasarkan 25 gejala yang ada. Luaran sistem berupa jenis penyakit tuberkulosis berdasarkan gejala yang dialami pasien, solusi pengobatan dan presentasi kemiripan antara kasus baru dan kasus lama. Berdasarkan hasil pengujian dengan 51 kasus TB didapatkan hasil: (a) pengujian dengan 3 skenario pengujian kasus baru didapatkan keakuratan sistem masing-masing untuk skenario pertama akurasi yang diperoleh dengan 31 data latih (60% dari 51 kasus) dan 20 data uji (40% dari 51 kasus) akurasinya sebesar 63%, skenario kedua akurasi yang diperoleh dengan 35 data latih (70% dari 51 kasus) dan 16 data uji (30% dari 51 kasus) akurasinya sebesar 69.2% dan skenario ketiga akurasi yg diperoleh dengan 41 data latih (80% dari 51 kasus) dan 10 data uji (20% dari 51 kasus) akurasinya sebesar 90%, (b) hasil pengujian terhadap kasus lama dalam basis kasus didapatkan keakuratan sistemsebesar 100%

IDENTIFYING HIGH-RISK POPULATIONS OF TUBERCULOSIS USING ENVIRONMENTAL FACTORS AND GIS BASED MULTI-CRITERIA DECISION MAKING METHOD

Development of an innovative method to enhance the detection of tuberculosis (TB) in Malaysia is the latest agenda of the Ministry of Health. Therefore, a geographical information system (GIS) based index model is proposed as an alternative method for defining potential high-risk areas of local TB cases at Section U19, Shah Alam. It is adopted a spatial multi-criteria decision making (MCDM) method for ranking environmental risk factors of the disease in a standardised five-score scale. Scale 1 and 5 illustrate the lowest and the highest risk of the TB spread respectively, while scale from 3 to 5 is included as a potential risk level. These standardised scale values are then combined with expert normalised weights (0 to 1) to calculate the overall index values and produce a TB ranked map using a GIS overlay analysis and weighted linear combination. It is discovered that 71.43% of the Section is potential as TB high risk areas particularly at urban and densely populated settings. This predictive result is also reliable with the current real cases in 2015 by 76.00% accuracy. A GIS based MCDM method has demonstrated analytical capabilities in targeting high-risk spots and TB surveillance monitoring system of the country, but the result could be strengthened by applying other uncertainty assessment method