Physical Module Research Articles

Association Between Physical Function and Neighborhood Environment in Healthy, Older Adults: An Exploratory Study Using Regression Tree Analysis.

The aim of this study was to perform an exploratory investigation of the individual characteristics of older adults that affect the relationships between physical function and neighborhood environment. A total of 624 community-dwelling older adults living independently, aged ≥65 years, participated in this cross-sectional study. Physical function was assessed by muscle strength (grip strength and knee extension strength) and physical performance (5-m walking time and Timed Up and Go Test). The neighborhood environment was assessed using the International Physical Activity Questionnaire Environmental Module. The individual characteristics that affect the association between both were analyzed using multiple regression analysis and Classification and Regression tree (CaRT) analysis. In both older men and women, multiple regression analysis showed that neighborhood environment was significantly associated with physical function. On the other hand, on CaRT analyses, older men ≤80 years of age without low back pain and depressive symptoms and perceived good access to recreational facilities had the shortest 5-m walking time. However, CaRT analyses found no relationship between physical function and neighborhood environment in older women. The relationships between physical function and neighborhood environment may be altered by sex, age, and physical and mental health conditions.

Framework for an agile, databased development

In today’s VUCA world, machinery and plant engineering companies face the major challenges of an advancing globalization and rapid technology changes. This forces them to react to changing requirements during product development and to shorten the time-to-market continuously due to competitive pressure. Especially companies from the wind turbine sector have to individualize their products for a variety of markets and customers, while at the same time taking into account complex dependencies between the various systems components. To address the stated challenges, this paper presents a framework for an agile and databased product development process that enables these companies to derive a development process that is best suited for their individual situation. The framework consists of a process model as well as an information model. The process model records the current development process with regard to the development network, the business process landscape and the actual development activities. The information model consists of an analysis of the currently used information systems, the description of the development’s information need and the identification of information carrier objects. The implementation of an agile, databased development process is the integrated application of both, process and information model. The recurring process modules, which are allocated to specific physical product modules, and the information and data model, which assures the information supply during product development, characterize the reconfigurable development process of this framework. The validation of this framework is carried out in cooperation with a company from the field of wind turbine development.

RESEARCH ON THE CROSS-SECTION GENERATING METHOD IN HTGR SIMULATOR BASED ON MACHINE LEARNING METHODS

With the increasing needs of accurate simulation, the 3-D diffusion reactor physics module has been implemented in HTGR’s engineering simulator to give better neutron dynamics results instead of point kinetics model used in previous nuclear power plant simulators. As the requirement of real-time calculation of nuclear power plant simulator, the cross-sections used in 3-D diffusion module must be calculated very efficiently. Normally, each cross-section in simulator is calculated in the form of polynomial by function of several concerned variables, the expression of which was finalized by multivariate regression from large number scattered database generated by previous calculation. Since the polynomial is explicit and prepared in advance, the cross-sections could be calculated quickly enough in running simulator and achieve acceptable accuracy especially in LWR simulations. However, some of concerned variables in HTGR are in large scope and also the relationships of these variables are non-linear and very complex, it is very hard to use polynomial to meet full range accuracy. In this paper, a cross-section generating method used in HTGR simulator is proposed, which is based on machine learning methods, especially deep neuron network and tree regression methods. This method first uses deep neuron networks to consider the nonlinear relationships between different variables and then uses a tree regression to achieve accurate cross-section results in full range, the parameters of deep neuron networks and tree regression are learned automatically from the scattered database generated by VSOP. With the numerical tests, the proposed cross-section generating method could get more accurate cross-section results and the calculation time is acceptable by the simulator.

Compact, portable, laser induced fluorescence diagnostic for laboratory plasma sources.

As diagnostic groups are increasingly called upon to participate in experimental campaigns at remote facilities, there is a need to develop portable versions of plasma diagnostic systems. One such diagnostic is laser induced fluorescence (LIF). Here, we describe a portable LIF apparatus that eliminates the need for an optical table, beam splitters, and an optical chopper. All of the light exiting the laser system is coupled through optical fibers to the experiment and housekeeping diagnostics. The collected light is coupled through an optical fiber as well. A key feature is modulation of the tapered amplifier current instead of physical modulation of the laser output. Using this portable LIF system, measurements of ion temperature, ion flow, and relative metastable ion density are reported for two different remote experiments.

Meta-Analisis Pengembangan Modul Fisika Berbasis Problem Based Learning untuk Meningkatan Keterampilan Siswa SMA/MA

21st century life confronts us with increasingly complex problems. Therefore, learning is expected to create students who are critical, active, independent and have good abilities in solving problems encountered. One way to achieve this goal is through learning that uses physics modules based on the Problem Based Learning model. Research on the development of PBL model based physics modules has been widely carried out by previous researchers. Therefore, research is needed to analyze and compare some of the research that has been done related to the development of physics modules based on PBL models for high school students. This research uses a meta-analysis method. The purpose of this study is to analyze the value of the validity and practicality of the PBL model-based physics module, as well as to analyze the effect of the PBL model in terms of learning material and student skills. Based on the results of the study it can be understood that: 1) The average validity of the 13 articles analyzed is 0.87 with a very high category, 2) The average practicality of the 5 articles analyzed is 0.86 with a very high category, 3) The PBL model has a moderate effect on all material on the 13 articles analyzed, with the highest influence on the material temperature and heat (effect size 0.63). Likewise with the skills of students, PBL models have a moderate effect on the skills of students as a whole, but it is more effective to improve science process skills by obtaining an effect size value of 0.58.

Pengembangan Modul Gejala Pemanasan Global Berbasis Pendekatan SETS untuk Meningkatkan Hasil Belajar Siswa Fisika Kelas XI SMAN 7 Sijunjung

A reciprocal relationship is needed between humans and the environment so that there is a balance and harmony between nature and humans. Therefore it is necessary to implement environmental integrated education, so that the concepts and principles of various kinds of natural phenomena can easily be developed in learning materials and these understandings can be used in everyday life. This development research aims to produce a physics module of global warming symptoms based on the SETS approach. This type of research is research and development with the ADDIE model contains five stages, namely: (1) analyze; (2) design; (3) development; (4) implement; (5) evaluate (assessment). From the research results, it was found that the physics module based on the SETS approach had met the very valid criteria with a percentage of 92%. In terms of practicality, the SETS-based physics module has met the very practical criteria with the percentage of teacher and student response questionnaires being 93% and 90.56%, respectively. In addition, the SETS-based physics module has also met the effective criteria with an N-gain value of 0.76

Pengembangan Modul Praktikum Fisika Berbasis Open Ended Problem Pada Pokok Bahasan Getaran Harmonis

This study aims to develop and test the feasibility of physics practicum modules based on open ended problems on the subject of harmonic vibrations. This research type is research and development (R & D) by Sugiyono using 8 stages, namely potential and problems, data collection, product design, validation of practicum modules, improvement of practicum modules, practicum module trials, revision of practicum modules, and final products. The feasibility test for practicum module based on open ended problem uses a Likert scale questionnaire with validation by two validators. Research subjects MIPA MAN 5 Cirebon students, amounting to 9 students. The instrument used in the form of practical modules and questionnaire responses of students. The results of this research and development analysis were produced by practicum module products based on open ended problems on the subject of harmonic vibrations with an average validator score of 5.00 or (100%) with the Very Good (SB) category and the average score of students 4, 02 (80.40%) included in the Good category (B). So it can be concluded that the development of physics modules based on open ended problems is feasible to be used as practical teaching materials.

Understanding the Multiphysical Processes in Carbon Dioxide Enhanced-Oil-Recovery Operations: A Numerical Study Using a General Simulation Framework

Summary In this paper, we aim to enhance our understanding of the multiphysical processes in carbon dioxide (CO2)-enhanced-oil-recovery (EOR) (CO2-EOR) operations using a modeling approach. We present the development of a comprehensive mathematical model for thermal/hydraulic/mechanical (THM) simulation of CO2-EOR processes. We adopt the integrated-finite-difference method to simulate coupled THM processes during CO2-EOR in conventional and unconventional reservoirs. In our method, the governing equations of the multiphysical THM processes are solved fully coupled on the same unstructured grid. To rigorously simulate the phase behavior of a three-phase, nonisothermal system, a three-phase flash-calculation module, dependent on the minimization of Gibbs energy, is implemented in the simulator. The simulator is thus applicable to both miscible and immiscible flooding simulations under isothermal and nonisothermal conditions. We have investigated the effect of cold-CO2 injection on injectivity as well as on phase behavior. We conclude that cold-CO2 injection is an effective way to increase injectivity in tight oil reservoirs and reduces overriding effect in high-water-bearing reservoirs. Using the developed general simulation framework, we have discovered and studied several intriguing multiphysical phenomena that cannot be captured by commonly used reservoir simulators, including the temperature-decreasing phenomenon near the production well and the permeability-enhancement effect induced by the thermal unloading process. These phenomena can be captured only by the fully coupled multiphysical model. The novelty of this paper lies in its integration of multiple physical simulation modules to form a general simulation framework to capture realistic flow and transport processes during CO2 flooding, and in revealing the behavior of cold-CO2 injection under THM effects.

Sleep Quality Associated with Habitual Physical Activity Level and Autonomic Nervous System of Smokers.

ResumoFundamento Poucos estudos já examinaram a relação do nível habitual de atividade física e a modulação do sistema nervoso autônomo (SNA) na qualidade do sono de fumantes.Objetivos O objetivo deste estudo foi identificar alterações na qualidade do sono de fumantes e sua relação com nível habitual de atividade física e modulação do SNA.Métodos Um total de 42 fumantes foram divididos em dois grupos de acordo com o 50º percentil de atividade física de moderada a vigorosa (AFMV). A qualidade do sono foi avaliada utilizando-se o Mini-Sleep Questionnaire (mini questionário do sono), e a modulação do SNA foi avaliada por índices de variabilidade de frequência cardíaca (VFC). Para a análise de possíveis diferenças de média, foi utilizada a análise de covariância (ANCOVA) para ajuste de idade, gênero, composição corporal, maços-ano, betabloqueadores, ansiedade, e depressão, em log base 10, exceto por dados qualitativos, tais como gênero e betabloqueadores. Foram estabelecidas correlações utilizando-se a correlação de postos de Spearman. A significância estatística foi definida em 5%.Resultados Os fumantes que eram menos ativos demonstraram pior qualidade do sono (p=0,048) e insônia (p=0,045). Além disso, o grupo menos ativo apresentou redução na modulação parassimpática [HF (un; p=0,049); RMSSD (ms; p=0,047) e SD1 (ms; p=0,047)] e aumento do índice de LF (un) index (p=0,033) e razão LF/HF (p=0,040). Houve correlação positiva entre a pontuação total no Mini-sleep com o índice de LF (un) (r=0,317, p=0,041) e razão LF/HF (r=0,318, p=0,040) e correlação negativa com o índice de HF (un) (r= -0,322, p=0,038).Conclusões Fumantes com baixo nível de atividade física habitual apresentaram baixa qualidade do sono e alterações na modulação do sistema nervoso autônomo. (Arq Bras Cardiol. 2020; [online].ahead print, PP.0-0)

Pengaruh Penggunaan Modul Fisika Berparadigma Integrasi-Interkoneksi Model Konfirmatif Terhadap Minat dan Hasil Belajar Fisika Pada MAN 1 Bandar Lampung

This research is aimed to know (1) the difference of the students’ cognitive study results that used integrated-interconnected (confirmative models) physics module and physics module of heat. (2) the effect of using integrated-interconnected (confirmative models) physics module concering about the student’ cognitive study result. (3) the effect of using integrated-interconnected (confirmative models) physics module concering about the student’ interest in learning. This is a quasi-experiment research with Matching Pretest-Posttest Control Group Design. The variables consist of free variable that has the integrated-interconnected (confirmative models) physics module and bound variable that has the students’ interest and their study result. The population are all of 11th grade students of MAN 1 Bandar Lampung. Taking sample in this research is done by simple random sampling technique, so XI MIA2 is chosen as the experimental class and XI MIA3 is chosen as the controlling class. Instrument used in this research consist of pretest and posttes question, quesionnaire of the students’ interest and respons in learning. The technique of analysing data use T-test and simple regression analysis. The results of this research show that (1) there is a defference of the students’ cognitive study results that used integrated-interconnected (confirmative models) physics module and physics physics module of heat (tcalculation = 2,365 > ttable = 2,023, so Ha accepted). (2) there is a effect of using integrated-interconnected (confirmative models) physics module concering about the student’ cognitive study result with coefficient of regression 1,082. (3) there is a effect of using integrated-interconnected (confirmative models) physics module concering about the student’ interest in learning with coefficient of regression 0,624.

Calibration‐Free Chemical Process and Quality Control Units as Enablers for Modular Production

AbstractModular chemical production is a tangible translation of the digital transformation of the process industry for specialty chemicals. In particular, it enables the speeding‐up of process development and, thus, a quicker time to market by flexibly connecting and orchestrating standardized physical modules and bringing them to life (i.e., parameterizing them) with digitally accumulated process knowledge. We focus on the specific challenges of chemical process and quality control, which in its current form is not well suited for modular production and provide possible approaches and examples of the change towards direct analytical methods, analytical model transfer or machine‐supported processes.

Prevalence and factors associated with physical inactivity among older adults in Malaysia: A cross-sectional study.

Physical inactivity in older adults is linked to increased risk of chronic diseases, disability and various poor health outcomes. As the aging population rises, the prevalence of diseases associated with aging also increases. Regular physical activity in older adults is important to improve overall health and promote healthy aging. This study aimed to determine the prevalence and factors associated with physical inactivity among older adults in Malaysia. This study was based on 3969 Malaysian older adults aged ≥60 years who completed the physical activity module in the National Health and Morbidity Survey 2018, a population-based cross-sectional survey. Physical activity was measured using the Global Physical Activity Questionnaire through a face-to-face interview. Participants were classified as physically active or inactive. Associations between physical inactivity, sociodemographic characteristics and a range of selected independent variables were examined using multivariable logistic regression. Overall, three out of 10 (29.8%) Malaysian older adults were physically inactive. Results of multivariable analysis showed that older age group (≥80 years), of Bumiputera Sarawak ethnicity, unemployed/retirees/homemakers, functional limitation, diabetes mellitus and dementia were significantly associated with a higher risk of physical inactivity. Women, with secondary education level and good social support were less likely to be physically inactive. The present study reported the status of physical inactivity among older adults in Malaysia. There is the need to design effective public health programs and interventions to promote active living and healthy aging among Malaysian older adults, particularly in those at-risk older population subgroups. Geriatr Gerontol Int 2020; 20: 49-56.

PENGEMBANGAN MODUL FISIKA BERBASIS CTL UNTUK MEMBERDAYAKAN PENGETAHUAN DAN NILAI KARAKTER SISWA

This study aimed to: (1) describe the characteristics of the Physics module based on Contextual Teaching and Learning (CTL); (2) knowing the feasibility of a Contextual Teaching and Learning (CTL) based physics module; (3) knowing the use of Physics modules based on Contextual Teaching and Learning (CTL) can empower students' knowledge and character values. This research method is R&D by referring to the 4-D model (four D model) proposed by Thiagarajan (1974). The 4-D model consists of defining, designing, developing, and disseminating. Modules are assessed based on the feasibility of the material, media, and language, as well as trials (limited and extensive) to students, and the stages of dissemination at the MGMP forum. Research data collection was using questionnaires and needs analysis interview guidelines, validation sheets, response questionnaires, character value questionnaires, character value observation sheets, and disseminate questionnaires. The results of the study were as follows: (1) produce a module based on Contextual Teaching and Learning (CTL). (2) the module is categorized as feasible based on (material expert, media expert, linguist, teacher, colleague) which shows an average value of 86.0> minimum value of eligibility 84.3. This result also supported by good responses from students and the results of dissemination conducted on the MGMP forum which categorizes the modules well. (3) the use of modules can empower students' character values ​​and knowledge. This is indicated by the results of the character values ​​and knowledge of students> 75% can reach more than KKM.

The Effectiveness of the Module Static Fluid with Authentic Learning to Train Students' Problem-Solving Skills

Authentic learning includes the necessary foundation in learning physics. However, the limitations of the physics module based on authentic learning have an impact on the common problem-solving skills of students. Therefore, the purpose of this study is to analyze the effectiveness of a static fluid module with authentic learning to practice student problem-solving skills. This research is research and development using the 4-D model (Define, Design, Develop, Disseminate). Class trials using one group pre-test and post-test design. The subjects of the research trial were 33 students of class XB SMA in Banjarmasin. The data were obtained through tests of problem-solving skills. The results showed that the module was effective because the results of Mann Whitney test were sig. = 0.00; means there is a significant increase in problem-solving skills. Also, the students' problem-solving skills were in the very good category. Thus, a static fluid module with authentic learning is effective for practicing student problem-solving skills.

Analysis of Feasibility, Adherence, and Appreciation of a Newly Developed Tele-Rehabilitation Program for People With MCI and VCI.

Background: Patients with Mild Cognitive Impairment (MCI) and Vascular Cognitive Impairment (VCI) are at a high risk of progressing to dementia. Recent guidelines indicate the importance of promoting multidimensional and multi-domain interventions to prevent further decline. Due to its growing effectiveness, comparable to conventional face-to-face interventions, the use of technology is gaining relevance. Tele-rehabilitation systems have the potential to engage patients in multi-dimensional activity programs and to guarantee a low-cost continuum of care through remote control. A possible limitation of such programs is represented by the lack of familiarization with technology and computers in elderly people. The purpose of this study is to describe the feasibility, adherence, and appreciation of the GOAL Tele-R system, administered by a web-application through remote control in patients with MCI/VCI.Methods: Feasibility of the Tele-R system was evaluated by means of distribution of patients' attrition along the study phases, controlling for potential systematic bias in drop-out rates due to the technological device. Adherence was evaluated analyzing drop-out rates and indexes of carried out activities. Patients' appreciation was analyzed through ad hoc satisfaction questionnaire items.Results: Out of 86 approached patients, 25 (29%) were not enrolled, 30 (35%) dropped-out after randomization, and 31 (36%) completed the study (standard care group n = 12, the tele-R group n = 19). Compared to the tele-R group, rates of drop-outs resulted significantly higher for the standard care group (34 vs. 62%, respectively, p = 0.029). Taking into account baseline characteristics, females resulted in a statistically significant higher rate of drop-outs compared to males (66 vs. 27%, respectively, p = 0.003). Overall adherence to the proposed activities was 84% (85% for cognitive module and 83% for physical activity module). Concerning satisfaction, participants provided a good mean level of appreciation (3.7 ± 0.8, range 1–5), a positive feedback for usability, and a subjective perception of cognitive, emotional, and physical benefits due to the training.Conclusion: The GOAL Tele-R system seems a feasible technological rehabilitation program, reaching an acceptable level of adherence and appreciation in patients with an MCI/VCI condition.Clinical Trial Registration: www.ClinicalTrials.gov, ID: NCT03383549 (registration date: 26/dec/2017).

The influence of dust physical specifications photovoltaic modules performance

In this article, an experimental analysis was performed to assess the effect of dust accumulation on PV modules resulting energy losses. The dust used in the experiments was collected from three specific sites in the Republic of Iraq. Samples of pollen and common dust were collected from three sites for a period of three months in order to assess their physical properties.The results showed that 64% of all dust particles are 2 to 62 μm in diameter. The effect of dust deposition on the PV modules has mixed results from one location to another. The surface mass of the precipitated dust is concentrated on the PV unit only (up to 5 g/m2/day), and the decrease in the energy results was evident. The daily maximum decrease in efficacy was 0.05% for the samples examined, and when compared to neighboring countries its value is clear and effective. The results showed that the exposure of the photovoltaic cells to external conditions for a period longer than two months caused a decrease in the productivity of the photovoltaic unit by 35-40%. Therefore, it is recommended that there be periods of cleaning the cells up to two months. The study concluded that the use of PV systems in the studied sites is a practical and economical option.

Architecture, Chip, and Package Codesign Flow for Interposer-Based 2.5-D Chiplet Integration Enabling Heterogeneous IP Reuse

A new trend in system-on-chip (SoC) design is chiplet-based IP reuse using 2.5-D integration. Complete electronic systems can be created through the integration of chiplets on an interposer, rather than through a monolithic flow. This approach expands access to a large catalog of off-the-shelf intellectual properties (IPs), allows reuse of them, and enables heterogeneous integration of blocks in different technologies. In this article, we present a highly integrated design flow that encompasses architecture, circuit, and package to build and simulate heterogeneous 2.5-D designs. Our target design is 64core architecture based on Reduced Instruction Set Computer (RISC)-V processor. We first chipletize each IP by adding logical protocol translators and physical interface modules. We convert a given register transfer level (RTL) for 64-core processor into chiplets, which are enhanced with our centralized network-onchip. Next, we use our tool to obtain physical layouts, which is subsequently used to synthesize chip-to-chip I/O drivers and these chiplets are placed/routed on a silicon interposer. Our package models are used to calculate power, performance, and area (PPA) and reliability of 2.5-D design. Our design space exploration (DSE) study shows that 2.5-D integration incurs 1.29× power and 2.19× area overheads compared with 2-D counterpart. Moreover, we perform DSE studies for power delivery scheme and interposer technology to investigate the tradeoffs in 2.5-D integrated chip (IC) designs.

A Tool-Based Precision Hybrid Laser-Electrochemical Micromachining Process: Process Analysis by Multidisciplinary Simulations and Experiments

Hybrid laser-electrochemical micromachining is a fast and force-free processing technique to machine difficult-to-cut multi-materials with conductivity variations and has the advantage of accelerated material dissolution, oxide layer weakening and surface quality. In this process, the laser can assist electrochemical dissolution or participate in material removal depending on the fluence available on the workpiece surface. The tool-based configuration allows delivery of laser and ECM at higher machining depths and achieves homogeneous application of the two aforementioned processes. The combination of laser and ECM results in high material removal, better surface integrity and processing of advanced materials. On passivating materials, the oxide formation is weakened. In this research, a multidisciplinary model scheme is proposed using a global modelling approach where the model mimics several microscopic physical and chemical phenomena involved in this tool-based hybrid laser-ECM process. The model takes into account electric currents, fluid dynamics, modelling of laser source, hydrogen and oxygen gas generation and heat transfer in solids and fluids. The model allows to study temperature effects on each of the phenomena in the model. Material removal is simulated by using a deformed geometry feature and an automatic remeshing technique generates a new boundary for each subsequent solution step on Comsol® multiphysics platform. The multiphysics model is presented in detail with a brief description and intuitive explanation of each physics module. The proposed multidisciplinary model scheme can improve the physical understanding of the hybrid laser-ECM process as well as assist in process design for specific applications. The model allows to predict the machined profiles and current density distribution simultaneously. This model also provides insights into several multiphysics phenomena occurring in the interelectrode gap which are difficult to characterize experimentally and therefore the model can act as a virtual sensor. In the later sections of this paper, model based findings are supported experimentally.

Effect of a technology-supported physical activity intervention on health-related quality of life, sleep, and processes of behavior change in cancer survivors: A randomized controlled trial.

This pilot trial tested the effect of adding a multi-level, technology-based physical activity intervention module to a standard survivorship care plan for breast and colorectal cancer survivors. The objective of this analysis was to determine whether the physical activity module improved health-related quality of life, sleep, and factors key to lasting behavior change (eg, social support, self-efficacy). Breast and colorectal cancer survivors (n = 50) were enrolled alongside a support partner. Survivors were assigned to receive a standard survivorship care plan either alone or augmented by a 12-week multi-component physical activity module. The module included a Fitbit tracker (with the physical activity data integrated into the electronic health record for clinician review) and customized email feedback. Physical activity was measured using the ActiGraph GT3X+. Psychosocial outcomes included the SF-36, FACT, ISEL, PROMIS sleep measures, and physical activity beliefs. Data were analyzed using linear mixed modeling. Cancer survivors were aged 54.4 ± 11.2 years and were 2.0 ± 1.5 years from diagnosis. Relative to comparison, the intervention was associated with moderate-to-large improvements in physical health (effect size: d = 0.39, 95% CI = 0.0, 0.78), mental health (d = 0.59, 95% CI = 0.19, 0.99), sleep impairment (d = 0.62, 95% CI = -1.02, -0.22), and exercise self-efficacy (d = 0.60, 95% CI = 0.20, 1.0). The intervention delivered meaningful improvements in survivors' quality of life, social support, and sleep impairment. If replicated in a larger sample, adding a technology-supported physical activity module to survivorship care plans may be a practical strategy for supporting healthy survivorship. ClinicalTrials.gov#: NCT02677389.

Synectic HOTS Oriented: Development of Teaching Materials for High School Physics Learning

Most of physics learning materials in senior high school have not met the HOTS aspects. One of the HOTS aspects is creative thinking, it is also found in Synectic learning model. Both Synectic and HOTS have not much found in learning process or physics teaching materials. Even though, the physics learning process needs the creative thinking. This study aimed to develop the teaching materials based on Synectic and HOTS. ADDIE model was used in this study. The teaching materials which were developed in this study were lesson plan, student physics module, and also learning outcome test with HOTS aspect. Data analysis used descriptive analysis which described the validity level, practical and also effectiveness of the teaching materials. The results showed that learning materials met the valid criteria, the average score was 3.45, practicality was 84.77% and the effectiveness of physics learning was 92%. HOTS aspect 91.67% and 85.94% in the comfortable category and the pre-test and post-test results have a score of 0.389 in the moderate category. In conclusion, Synectic HOTS oriented teaching materials are important to be applied in physics learning so that students' higher order thinking skills was improved. Besides, the learning outcome was also increased. Thus, this learning materials need to be developed for the large scale students.