The Relationship between Learning Motivation and Learning Outcomes of Students Chemistry of Grade XI-MNS in 4 State SHS Pematangsiantar

This study aimed to determine the relationship between learning motivation and learning outcomes of students chemistry of grade XI-MNS (mathematics and natural science). The research design used was quantitative with a correlation approach. The population of this study was all students of class XI-MNS at state senior high school (SHS) 4 Pematangsiantar as many as 205 students for the 2019/2020 Academic Year. The sampling technique for this research was random sampling, which is a random sampling technique with a total sample of 40 students. The instrument used in the study was a non-test (questionnaire) of 20 questions to measure student learning motivation, but measuring chemistry learning outcomes was taken from the odd semester exam scores. The results showed that the percentage of high motivation was 20%, sufficient motivation was 50%, and low motivation was 30%. Student chemistry learning outcomes with a minimum score with a score of 41 and a maximum value with a score of 63 derived from the semester test scores that have been assessed by the field teacher. The correlation coefficient (r) in this study is 0.80 and the value of the coefficient of determination (r²) amounting to 0.63 which indicates that students' chemistry learning outcomes affect 63% changes in chemistry learning motivation. This results show that the relationship between learning motivation and learning outcomes of students chemistry of grade XI-MNS is very strong

An evolutionary algorithm approach to poetry generation

Institute for Communicating and Collaborative SystemsPoetry is a unique artifact of the human language faculty, with its defining feature being a strong unity between content and form. Contrary to the opinion that the automatic generation of poetry is a relatively easy task, we argue that it is in fact an extremely difficult task that requires intelligence, world and linguistic knowledge, and creativity. We propose a model of poetry generation as a state space search problem, where a goal state is a text that satisfies the three properties of meaningfulness, grammaticality, and poeticness. We argue that almost all existing work on poetry generation only properly addresses a subset of these properties. In designing a computational approach for solving this problem, we draw upon the wealth of work in natural language generation (NLG). Although the emphasis of NLG research is on the generation of informative texts, recent work has highlighted the need for more flexible models which can be cast as one end of a spectrum of search sophistication, where the opposing end is the deterministically goal-directed planning of traditional NLG. We propose satisfying the properties of poetry through the application to NLG of evolutionary algorithms (EAs), a wellstudied heuristic search method. MCGONAGALL is our implemented instance of this approach. We use a linguistic representation based on Lexicalized Tree Adjoining Grammar (LTAG) that we argue is appropriate for EA-based NLG. Several genetic operators are implemented, ranging from baseline operators based on LTAG syntactic operations to heuristic semantic goal-directed operators. Two evaluation functions are implemented: one that measures the isomorphism between a solution’s stress pattern and a target metre using the edit distance algorithm, and one that measures the isomorphism between a solution’s propositional semantics and a target semantics using structural similarity metrics. We conducted an empirical study using MCGONAGALL to test the validity of employing EAs in solving the search problem, and to test whether our evaluation functions adequately capture the notions of semantic and metrical faithfulness. We conclude that our use of EAs offers an innovative approach to flexible NLG, as demonstrated by its successful application to the poetry generation task

IMPLEMENTASI UNIT KEGIATAN BELAJAR MANDIRI (UKBM) TERHADAP BERPIKIR KREATIF MAHASISWA PADA POKOK BAHASAN LAJU REAKSI

Penelitian ini bertujuan untuk mengetahui pengaruh implementasi unit kegiatan belajar mandiri (UKBM) terhadap berpikir kreatif mahasiswa pada pokok bahasan laju reaksi. Metode penelitian menggunakan metode eksperimen semu (kuasi eksperimen) dengan populasi seluruh mahasiswa pendidikan matematika semester 3 dan sampel penelitian sebanyak 72 mahasiswa di Program Studi Pendidikan Matematika Universitas HKBP Nommensen Pematangsiantar yang ditentukan menggunakan random sampling yang terdiri dari 2 kelas, yaitu kelas kontrol (kelas yang dibelajarkan dengan model Direct Instruction (DI)) dan kelas eksperimen (kelas yang dibelajarkan dengan UKBM). Hasil penelitian menunjukkan bahwa berpikir kreatif yang terkembaang pada mahasiswa kelas eksperimen sebesar 3,25  lebih tinggi daripada kelas kontrol sebesar 3,00. Hipotesis yang diuji dalam penelitian ini menggunakan uji t dengan taraf signifikansi sebesar 0,000 0,05. Hasil penelitian menunjukkan bahwa terdapat pengaruh implementasi UKBM terhadap berpikir kreatif mahasiswa pada pokok bahasan laju reaksi

PENGARUH MODEL PROBLEM BASED LEARNING (PBL) DENGAN MENGGUNAKAN MINP MAPLE UNTUK MENINGKATKAN HASIL BELAJAR PADA MATERI TERMOKIMIA

Penelitian ini bertujuan untuk mengetahui pengaruh model problem based learning (PBL) menggunakan mind maple untuk mengningkatkan hasil belajar siswa pada materi termokimia. Metode penelitian adalah metode eksperimen semu (quasi eksperimen) yang populasinya seluruh siswa kelas XI-MIA di SMA Negeri 15 Medan. Sampel penelitian sebanyak 64 siswa yang ditentukan secara random sampling.  Sampel tersebut terdiri dari 2 kelas yaitu, kelas eksperimen (siswa yang dibelajarkan dengan mode PBL tanpa media dan kelas kontrol (siswa yang dibelajarkan dengan model PBL dengan mind maple). Instrumen yang digunakan dalam penelitian ini berupa tes tertulis pilihan berganda untuk mengukur hasil belajar siswa. Hasil penelitian menunjukkan peningkatan hasil belajar siswa dari nilai KKM pada kelas eksperimen sebesar 2,55 dan penurunan hasil belajar siswa dari nilai KKM pada kelas kontrol sebesar 0,80. Terdapat pengaruh model problem based learning (PBL) menggunakan mind maple untuk mengningkatkan hasil belajar siswa pada materi termokimia dengan taraf signifikansi 0,021 0,05

ANALISIS PENUNTUN PRAKTIKUM KIMIA SMA KELAS XI BERBASIS PROYEK DAN INQUIRY PADA MATERI HIDROKARBON

Penelitian ini bertujuan untuk mengembangkan dan mengetahui persepsi dosen dan guru serta tingkat kelayakan dan keterlaksanaan buku penuntun kimia inovatif terintegrasi berbasis proyek dan inquiry. Lokasi penelitian yaitu SMA Negeri 2 Pematangsiantar. Sampel penelitian adalah guru kimia dan 3 dosen kimia. Penuntun praktikum dinilai dengan presepsi oleh 20 guru kimia dan 3 dosen kimia dan telah layak memenuhi standart BSNP yang telah dimodifikasi. Buku penuntun  inovatif dari persepsi dosen kimia dan guru kimia pada penuntun praktikum inovatif yang terintegrasi proyek dan inquiry pada materi Hidrokarbon Kelas XI SMA yang telah dikembangkan lebih mendukung pembelajaran dibandingkan buku penuntun yang ada dari berbagai penerbit, aspek yang dilihat dari aspek BSNP termodifikasi yaitu terdapat 7 aspek dalam uji kelayakan yaitu aspek kecakupan praktikum (3,47), sistematika penyajian (3,59), mengandung wawasan produktifitas (3,89), merangsang keingintahuan (3,76), mengembangkan kecakapan hidup (3,81), desain (3,83) dan bahasa (3,59)

The Effect Of Problem-Based Learning Model During Pandemic On The Thematic Learning Outcomes Of Students In Elementary School

This study aims to determine the effect of the Problem Based Learning learning model during the pandemic on the thematic learning outcomes of students in grade IV Private Primary School HKBP Tomuan with Science Subjects on theme 6 My ideals, sub-theme 1 I and my ideals, learning 2. Types This research is Classroom Action Research using 2 cycles with four stages, namely planning, action, observation, and reflection. The subjects of this study were the fourth-grade students of HKBP Tomuan Private Elementary School, totaling 20 people, while the object of this research was the thematic learning outcomes of students by applying problem-based learning models. The technique of collecting data is by observing and conducting a pretest at the beginning of learning and a posttest at the end of learning. Based on the analysis of the data obtained in the first cycle by not using the problem-based model, the learning outcomes of 12 students reached the KKM, namely 60 to 75%, and 8 students did not reach the KKM, which wa

CIELab Color Moments: Alternative Descriptors for LANDSAT Images Classification System

This study compares the image classification system based on normalized difference vegetation index (NDVI) and Latent Dirichlet Allocation (LDA) using CIELab color moments as image descriptors.  It was implemented for LANDSAT images classification by evaluating the accuracy values of classification systems. The aim of this study is to evaluate whether the CIELab color moments can be used as an alternatif descriptor replacing NDVI when it is implemented using LDA-based classification model.  The result shows that the LDA-based image classification system using CIELab color moments provides better performance accuracy than the NDVI-based image classification system, i.e 87.43% and 86.25% for LDA-based and NDVI-based respectively.  Therefore, we conclude that the CIELab color moments which are implemented under the LDA-based image classification system can be assigned as alternative image descriptors for the remote sensing image classification systems with the limited data availability, especially when the data only available in true color composite images.This study compares the image classification system based on normalized difference vegetation index (NDVI) and Latent Dirichlet Allocation (LDA) using CIELab color moments as image descriptors.  It was implemented for LANDSAT images classification by evaluating the accuracy values of classification systems. The aim of this study is to evaluate whether the CIELab color moments can be used as an alternatif descriptor replacing NDVI when it is implemented using LDA-based classification model.  The result shows that the LDA-based image classification system using CIELab color moments provides better performance accuracy than the NDVI-based image classification system, i.e 87.43% and 86.25% for LDA-based and NDVI-based respectively.  Therefore, we conclude that the CIELab color moments which are implemented under the LDA-based image classification system can be assigned as alternative image descriptors for the remote sensing image classification systems with the limited data availability, especially when the data only available in true color composite images

Penerapan Model Pembelajaran Make A Match untuk Meningkatkan Hasil Belajar Siswa Pada Materi Rumus Kimia dan Tata Nama Senyawa

Penelitian ini bertujuan untuk mengetahui hasil belajar siswa yang diajarkan dengan model pembelajaran kooperartif tipe mencari pasangan (make a match) lebih tinggi dari hasil belajar siswa yang diajarkan pembelajaran konvensional pada materi rumus kimia dan tata nama senyawa dan untuk mengetahui berapa besar peningkatan hasil belajar kimia siswa melalui penerapan model pembelajaran kooperatif tipe mencari pasangan (make a match) pada materi rumus kimia dan tata nama senyawa. Penelitian ini menggunakan pendekatan kualitatif. Waktu penelitian dilaksanakan pada bulan November di kelas X semester 1 Tahun Ajaran 2018/2019. Penelitian ini dilaksanakan di SMA Swasta Mars Pematangsiantar. Populasi dalam penelitian ini adalah seluruh siswa kelas X SMA Swasta Mars Pematangsiantar yang berjumlah 6 kelas. Sampel diambil secara acak (random sampling) dengan memilih 2 kelas dari 6 kelas, sehingga diperoleh satu kelas yang diberi pengajaran dengan model pembelajaran kooperatif tipe mencari pasangan (make a match) dan kelas lainnya diberi pengajaran dengan model pembelajaran konvensional. Hasil penelitian yang diperoleh adalah (1) Hasil belajar siswa yang diajarkan dengan model pembelajaran kooperatif tipe mencari pasangan (make a match) lebih tinggi daripada hasil belajar siswa yang menggunakan pembelajaran konvensional di SMA Swasta Mars Pematangsiantar pada materi rumus kimia dan tata nama senyawa, (2) Peningkatan hasil belajar kimia siswa pada pembelajaran kooperatif tipe mencari pasangan (make a match)  sebesar 68%  sedangkan peningkatan hasil belajar kimia siswa yang diajar dengan pembelajaran konvensional sebesar 62%. Jadi, terdapat perbedaan peningkatan hasil belajar kimia siswa yang signifikan antara pembelajaran make a match dengan pembelajaran konvensional. Besarnya perbedaan peningkatan hasil belajar kimia siswa adalah 6%

A Flexible Integrated Architecture For Generating Poetic Texts

Proceedings of the Fourth Symposium on Natural Language Processing (SNLP 2000)In this paper we describe a flexible approach to natural language generation that employs a stochastic hillclimbing search algorithm and an integrated architecture. We then discuss the benefits of this approach over existing, informative, goal-driven generation systems. We choose the generation of poetry as our research task domain, as it is a prime example of natural language that demands the degree of flexibility provided by our approach. Finally, we report and discuss results of our preliminary implementation work

Towards A Computational Model Of Poetry Generation

Proceedings of the AISB'00 Symposium on Creative; Cultural Aspects and Applications of AI; Cognitive ScienceIn this paper we describe the difficulties of poetry generation, particularly in contrast to traditional informative natural language generation. We then point out deficiencies of previous attempts at poetry generation, and propose a stochastic hillclimbing search model which addresses these deficiencies. We present both conceptual and implemented details of the most important aspects of such a model, the evaluation and evolution functions. Finally, we report and discuss results of our preliminary implementation work