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The 2013 scientific-based curriculum, teachers must facilitate students to gain knowledge or skills based on the scientific method. The research aims to analyze the effectiveness of teaching materials. This type of research development, teaching materials have valid content and media. Teaching materials are declared effective if there is an increase in students' classical mastery, an increase in the achievement of basic competencies, and students can understand macroscopic, microscopic and symbolic level representations. Quantitative descriptive research method, starting from the analysis of the quality of teaching materials and diagnostic test instruments Two Tier Multiple Choice (TTMC), application of teaching materials, application of questions, data analysis of test results, classical completeness, achievement of basic competencies, and analysis of representational understanding. The research subjects were students of class XI and XII MIPA. The results of the study were obtained from the results of the student's TTMC test on the buffer solution material that had used Teaching Materials. Data analysis was done classically. The results showed that there was an increase in classical completeness by 9%, the achievement of basic competence indicators increased by 8% and concept understanding increased by 6%. So that the teaching materials developed are effective to use.

APPLICATION OF THE RASCH MODEL ON THE TEST INSTRUMENT TO ANALYZE THE PROBLEM-SOLVING ABILITY OF STUDENTS IN ACID-BASE SOLUTIONS MATERIALSAbstractIn 21st century education, students are required to have high problem-solving skills. This study aims to reveal the quality of the test instrument with the Rasch model. Descriptive quantitative research is used with total of 38 students of class XI SMAN 2 Semarang became the subjects in this study. The data obtained in this study is from a combination of student response patterns on the product development diagnostic test instrument. The data analysis used was IRT Rasch. Rasch model analysis for summary statistics, item-fit, wright-map, item-measure, person-measure, person-fit dan item-DIF. The value of person reliability is 0.78(sufficient), and item reliability value is 0.8(good). Cronbach's alpha value is 0.82 (very good). Based on the analysis Rasch model, it was found that there were two students (12P and 37P) whose response patterns were not ideal. The results showed problem-solving ability profile of students in the very high category of 26%, high of 29%, average of 16%, low of 13%, and very low of 16%. The results of this study indicate that the test instrument can be used for further research in measuring student problem solving and the Rasch model contributes to teachers and schools in identifying students' abilities in more detail. AbstrakPada pendidikan abad-21, siswa dituntut harus memiliki keterampilan problem-solving yang tinggi. Penilaian keterampilan problem-solving dapat dilakukan secara online yang terintegrasi pada soal tes pengetahuan. Penelitian ini bertujuan untuk mengungkap kualitas instrumen tes dengan model Rasch. Penelitian kuantitatif deskriptif digunakan dalam penelitian ini. Total 38 siswa kelas XI SMAN 2 Semarang menjadi subjek dalam penelitian ini. Data yang diperoleh dalam penelitian ini adalah dari kombinasi pola respon jawaban siswa pada instrumen tes diagnostik produk pengembangan. Analisis data yang digunakan menggunakan Item Response Theory (IRT) model Rasch. Analisis model Rasch untuk summary statistics, item-fit, wright-map, item-measure, person-measure, person-fit dan item-DIF. Nilai person reliability didapatkan sebesar 0,78, kriteria cukup, dan nilai item reliability sebesar 0,85, kriteria bagus. Nilai alpha Cronbach sebesar 0,82, kriteria bagus sekali. Berdasarkan hasil analisis Rasch model ditemukan ada dua siswa yang pola responnya tidak ideal yaitu siswa 12P dan 37P. Hasil penelitian menunjukkan profil kemampuan problem-solving siswa dengan kategori sangat tinggi sebesar 26%, tinggi sebesar 29%, rata-rata sebesar 16%, rendah sebesar 13%, dan sangat rendah sebesar 16%. Hasil penelitian ini menunjukkan bahwa instrumen tes dapat digunakan untuk penelitian lanjutan dalam mengukur pemecahan masalah siswa dan model Rasch memberikan kontribusi kepada guru dan sekolah dalam mengidentifikasi kemampuan siswa lebih rinci

Electrical energy is one of the necessities of human life, especially in modern society in urban areas. With a monitoring device for electrical energy consumption using IoT technology, the results of the development show that the monitoring system works well, but the results show that current and voltage measurements are still less accurate. Therefore, in this study, an Electrical Energy Analysis and Monitoring System was developed using the IoT-Based Prophet Algorithm. Data collection was obtained from electrical energy using the PZEM-004T module sensor device used at home and the energy data obtained were stored in a MySQL database. This PZEM data retrieval will appear in real-time on the Monitoring Website. The dataset was processed by implementing the Prophet Algorithm, evaluating the model and visualizing the prediction results on the analysis website. Testing using Mean Absolute Percentage Error (MAPE). For design, this system uses energy data and data retrieval time as parameters in the monitoring system for the use of electrical energy at home. Analysis of data taken from electrical energy monitoring was predicted by the model created by the Prophet Algorithm and tested with MAPE to see how accurate the predicted value is in the Prophet Algorithm model. Predictions in this study get an error value of less than 10%, namely 6.87%, which means it is very accurate in predicting the prophet algorithm at home.