bluuebunny/crossref_metadata_2025 huggingface dataset:
ESTIMATION OF A BI-RESPONSE TRUNCATED SPLINE NONPARAMETRIC REGRESSION MODEL ON LIFE EXPECTANCY AND PREVALENCE OF UNDERWEIGHT CHILDREN IN INDONESIA
Authors: Anisar Anggi Putri , Sifriyani Sifriyani , Dani Andrea Tri Rian
Published: December 2023

Researchers use the nonparametric regression method because it provides excellent flexibility in the modeling process. Nonparametric regression procedures can be used if the relationship pattern between the predictor and response variables is unknown. The truncated spline method is one of the most frequently used nonparametric regression methods. A truncated spline is a polynomial slice with continuous segmented properties, and the resulting curve is relatively smooth. The advantage of truncated splines is that they can be used on data that experience behavior changes at specific intervals. The nonparametric spline truncated bi-response regression approach is used when one or more predictor variables affect the two response variables with the assumption that there is a correlation between the response variables. This study aimed to obtain the best spline truncated bi-response nonparametric regression model on life expectancy data and the prevalence of underweight children in Indonesia in 2021. The data used comes from the Central Bureau of Statistics and the Indonesian Ministry of Health. The optimal knot point selection method uses the Generalized Cross Validation (GCV) method. The results showed that the best model formed was obtained using three-knot points based on a minimum GCV value of 22.77 and a coefficient of determination of 99.58%.
AN INTEGRATED APPROACH OF GRA COUPLED WITH PRINCIPAL COMPONENT ANALYSIS FOR FRICTION STIR WELDED AM20 MAGNESIUM ALLOY
Authors: Prasetya Ichwanul Kahfi , Rifki Kevin Agung Fernanda , Ahsan Muhammad
Published: December 2023

Magnesium alloys possess highly desirable properties and become increasingly popular in various practical applications due to their lightweight nature as a replacement for aluminum alloys. The purpose of this study is to optimize the process parameter to get the better mechanical properties of friction stir welded AM20 magnesium alloy using Taguchi Grey relational analysis (GRA) Coupled with Principal Component Analysis (PCA). The considered process parameters are plunging depth (PD), tool rotation speed (RPM), and welding speed (WS), shoulder diameter (SD), and. The experiments were carried out by using Taguchi's L18 factorial design of experiment. The processes parameters were optimized and ranked the parameters based on the W-GRG. The responses are ultimate tensile strength (UTS), yield strength (YS), percentage of elongation (% E), compressive stress (CS), bending angle, average hardness at the nugget zone (NZ), thermo mechanical affected zone (TMAZ) and heat affected zone (HAZ). Case-1 is preferable when high values of quality parameters are desired, while Case-2 is more suitable when some parameters needs to be low values. The optimal combination of parameters in case-1 is PD1, RPM3, WS3, and SD1, while the optimal combination of parameters in case-2 is PD1, RPM1, WS2, SD1. In both cases, the most influence response in is UTS, while the maximum influence of factor is SD. We suggest further research to be able to use confirmatory experiments so that we can find out how well the new setup is suggested.
APPLICATION OF NONPARAMETRIC GEOGRAPHICALLY WEIGHTED REGRESSION METHOD ON OPEN UNEMPLOYMENT RATE DATA IN INDONESIA
Authors: Saputri Marisa Nanda , Sifriyani Sifriyani , Wasono Wasono
Published: December 2023

Nonparametric Geographically Weighted Regression (NGWR) model is a development of nonparametric regression with geographic weights for spatial data where parameter estimators are local to each observation location. NGWR is used to obtain the best model for the Open Unemployment Rate (OUR) data in Indonesia. Unemployment is still a significant social and economic problem in Indonesia. This study aims to obtain the NGWR model on the OUR data in Indonesia and to determine the factors that significantly affect OUR. The method used is the NGWR model with bisquare kernel function weighting and gaussian kernel function. The best model is obtained by NGWR with bisquare kernel function weighting at order 1 and knot point 1, with R2 is 83.45 percent which explains that the predictor variables affect the OUR by that number. The factors that have a significant effect on OUR are the percentage of population density, minimum wage, average years of schooling, GRDP, and the percentage of poor people.
CONSTRUCTION OF BICYCLIC GRAPH AND ITS APPLICATION IN TRANS JOGJA ROUTES
Authors: Ambarwati Aditya , Krisnawati Vira Hari
Published: December 2023

A bicyclic graph is a type of graph that consists of exactly two cycles. A cycle is a graph that is a closed path where no vertices are repeated except the first and last vertices which are the same. The cycles in bicyclic graph can be of different lengths and shapes, but they must have at least one common vertex. Bicyclic graphs can be divided into two categories based on the types of induced subgraphs they contain. One category consists of graphs that include an -graph as an induced subgraph, while the other category comprises graphs that contain a -graph as an induced subgraph. There are 3 types of bicyclic graph without pendant vertex. A directed graph, also referred to as a digraph, is a graph in which each edge is assigned a specific direction. A directed bicyclic graph is a special kind of directed graph that contains precisely two distinct directed cycles. This graph can be applied in transportation problem. In this article, we give some examples of directed bicyclic graph in Trans Jogja routes.
PANEL DATA REGRESSION MODEL FOR PREDICTING ECONOMIC GROWTH BEFORE AND DURING THE COVID-19 PANDEMIC IN EAST JAVA PROVINCE
Authors: Susetyoko Ronny , Satriyanto Edi , Fadliana Alfi , Humaira Fitrah Maharani
Published: December 2023

Gross Regional Domestic Product (GRDP) is one of the key indicators to determine the economic condition of a region in a certain period. GRDP at constant prices has a positive and significant effect on economic growth . This study aims to predict economic growth in East Java before and during the Covid-19 pandemic based on the structural components of regional revenue and expenditure budget realization using panel data regression with data sources from the Directorate General of Fiscal Balance. The results of this study, the best model is the Fixed Effect Model (FEM) with R-Squared 0.99991 and Adj. R-Squared 0.99987. MSE, MAD and MAPE values on the training data are 338724.9919, 259.7182 and 0.6296 respectively. While the MSE, MAD and MAPE values in the testing data are 1716324.2736, 445.7959 and 1.0692 respectively. At the 95% confidence level, Locally Generated Revenue (LGR), Transfers to Regional and Village Funds (TRVF), and Other Revenue (OR) are not significant in the model or have little effect. But at the 99.9% confidence level, all factors (cross section) have a very significant effect. This can be interpreted that local wisdom, or the characteristics of each region/city has a major contribution to economic growth.
COMPARING GAUSSIAN KERNEL AND QUADRATIC SPLINE OF NONPARAMETRIC REGRESSION IN MODELING INFECTIOUS DISEASES
Authors: Adityaningrum Amanda , Ladjali Sri Indriani , Djakaria Ismail , Yahya Lailany , Payu Muhammad Rezky Friesta , Nashar La Ode , Jusuf Herlina
Published: December 2023

The regression curve for nonparametric regression is assumed to belong to some infinite-dimensional collection of functions, which allows great flexibility in the form of the curve. This research intends to compare the Gaussian Kernel and Quadratic Spline regressions in four infectious diseases in Indonesia by 2021. The data used is secondary data from the Central Bureau of Statistics and the Ministry of Health, Indonesia, and the sample consists of four infectious diseases in Indonesia by 2021 (Tuberculosis, Diarrhoeal, Pneumonia, and COVID-19). Considering the correlation value, it was found that the independent and dependent variables of the four infectious diseases are all highly correlated (r values are more than 0.7). Furthermore, the scatter plots for four infectious diseases do not follow a particular pattern; due to this, parametric regression cannot be used to analyze the data. Therefore, nonparametric regression was applied in this research . According to the analysis, the Gaussian Kernel is the best regression technique for modeling four infectious diseases in Indonesia by 2021, which its R2 values are 99.85% (Tuberculosis), 100% (Diarrhoeal), 99.91% (Pneumonia), and 99.99% (COVID-19).
ANALYSIS OF THE COVID-19 EPIDEMIC MODEL WITH SELF-ISOLATION AND HOSPITAL ISOLATION
Authors: Manaqib Muhammad , Padilah Tesa Nur , Maulana Iqbal
Published: December 2023

This research developed the SIR model with self-isolation and hospital isolation. The analysis is carried out through the disease-free and endemic equilibrium point analysis and the sensitivity analysis of the basic reproduction number. Based on the disease-free equilibrium point analysis, for a certain period of time the population will be free from COVID-19 if the basic reproduction number is less than 1. If the basic reproduction number is more than 1, the disease will persist in the population, this will lead to an endemic equilibrium point. Based on the sensitivity analysis of parameter values on the basic reproduction number, the parameter for the isolation rate of individually infected individuals in hospitals is -0.4615166040, and the self-isolation rate at home is -0.01853667767. This indicates that isolation in hospitals is more effective than self-isolation in suppressing the spread of COVID-19.
SAWI TRANSFORMATION FOR SOLVING A SYSTEM OF LINEAR ORDINARY DIFFERENTIAL EQUATIONS
Authors: Halim Elvina , Zakaria La
Published: December 2023

There are many problems in nature whose solutions are obtained through mathematical concepts. One of the most common mathematical concepts is a mathematical concept that is classified under initial value problems, such as a system of linear ordinary differential equations equipped with initial values. One tool that can solve the initial value problem is the Sawi transformation. This article describes the study of the initial value problem as a system of linear ordinary differential equations and its solution using the Sawi transformation. In addition, as part of applying the resulting theory, 2 (two) case examples are given (a first-order chemical reaction system with three certain chemicals and a mass-spring system with forced motion) to be solved using the Sawi transformation. So that problem solving can be interpreted and easily understood, in the 2 (two) case studies discussed and focused on the concentration of the chemical reactants, simulations were carried out for several different initial values and reaction rate constants. Compared to other methods (Laplace transform), the results obtained from using the Sawi transformation for the cases discussed show that the analytical solutions for the selected initial values have similar solutions.
A FRACTIONAL DIFFERENTIAL EQUATION MODEL FOR THE SPREAD OF POTATO LEAF ROLL VIRUS (PLRV) ON POTATOES
Authors: Jasmine Prisca , Putri Arrival Rince , Efendi Efendi
Published: December 2023

Potatoes infected with the PLRV virus will experience a decrease in production up to 90%. In this paper, The PLRV distribution fractional differential equation model with potato and vector populations is reformulated by adding one new parameter, namely the rate of vector death due to predators. The model is divided into susceptible and infected classes. The PLRV dispersion model was developed and converted to a fractional order form for 0<σ ≤ 1. Next, the invariant region, positive solutions, basic reproduction number, equilibrium point, and stability were determined. Based on the stability analysis, it is shown that the stability of the disease-free equilibrium point is locally stable and globally stable if the basic reproduction number (R0)<1, and the stability of the endemic equilibrium point is globally stable if the basic reproduction number (R0)>1. Numerical solutions were also carried out to determine the effect of several parameters on the PLRV distribution model on potatoes. The numerical solution results show that the elimination rate of infected potatoes and the infection rate of potatoes have a significant role in controlling the spread of PLRV in potatoes.
DEVELOPMENT OF HEALTH INSURANCE CLAIM PREDICTION METHOD BASED ON SUPPORT VECTOR MACHINE AND BAT ALGORITHM
Authors: Anam Syaiful , Guci Abdi Negara , Widhiatmoko Fery , Kurniawaty Mila , Wijaya Komang Agus Arta
Published: December 2023

Health insurance industry is very much needed by the community in handling the financial risks in the health sector. The number of claims greatly affects the achievement of profits and the sustainability of the health insurance industry. Therefore, filing claims by insurance users from year to year is important to be predicted in insurance firm. The Machine Learning (ML) method promises to be a good solution for predicting health insurance claims compared to conventional data analytics methods. Support Vector Machine (SVM) is one of the superior ML approaches. Nonetheless, SVM performance is controlled by the suitable selection of SVM parameters. The SVM parameters is typically selected by trial and error, sometimes resulting in not optimal performance and taking a long time to complete. Swarm intelligence-based algorithms can be used to select the best parameters from SVM. This method is capable of locating the global best solution, is simple to implemented, and doesn't involve derivatives. One of the best swarm intelligence algorithms is the Bat Algorithm (BA). BA has a faster convergence rate than other algorithms, for example Particle Swarm Optimization (PSO). Based on this situation, this paper offers the new classification model for predicting health insurance claim based on SVM and BA. The metrics utilized for evaluation are accuracy, recall, precision, f1-score, and computing time. The experimental outcomes show that the proposed approach is superior to the conventional SVM and the hybrid of SVM and PSO in forecasting health insurance claims. In addition, the proposed method has a substantially shorter computing time than the hybrid of SVM and PSO. The outcomes of the experiments also indicate that the new classification model for predicting health insurance claim based on the SVM and BA can avoid over-fitting condition.
TRIANGLE CONCEPT CONSTRUCTION THROUGH ETHNOMATHEMATICS-BASED ONLINE LEARNING OF KALAMATA FORT ARTIFACTS
Authors: Pakaya Yusril M , Marsigit Marsigit
Published: December 2023

This study aimed to construct a triangle for junior high school students through online learning based on the Ethnomathematics of Kalamata Fort Artifacts. This research is descriptive qualitative research with a case study type. The data collection methods used are concept understanding tests and interviews. The subjects of this study were three students who were grade VII junior high school students with high (S1), medium (S2), and low (S3) abilities. In this study, the data analysis conducted was descriptive. The data analyzed in this study are the results of concept understanding observations and interviews conducted by researchers on research subjects. The results showed that constructing the concept of triangles through online learning based on the Ethnomathematics of Kalamata Fort Artifacts had a good impact on the concept understanding ability of grade VII junior high school students.
DYNAMIC PANEL DATA GENERALIZED METHOD OF MOMENT ARELLANO-BOND APPROACH IN ECONOMETRIC MODEL RETURN ON ASSETS OF PHARMACEUTICAL COMPANIES
Authors: Hendayanti Ni Putu Nanik , Nurhidayati Maulida
Published: December 2023

The impact of the Covid-19 pandemic has resulted in a significant decline in the pharmaceutical sector's stock price, so investors are hesitant to invest in the pharmaceutical sub-sector. This study aims to apply dynamic panel data regression analysis with the Arellano-Bond Generalized Method of Moment (GMM) approach to model the profitability of pharmaceutical sub-sector companies on the Indonesia stock exchange. Therefore, investors need to know the profitability of the pharmaceutical sub-sector to make an investment decision. This research will produce a profitability model for pharmaceutical sub-sector companies. The data in this study was obtained from observations of stock price movements of pharmaceutical sub-sector companies listed on the Indonesia Stock Exchange (IDX) in 2013-2022. From the resulting model, it is hoped that it can provide an overview for investors to take action to invest in shares of the pharmaceutical sub-sector. The study results show that the model meets the consistency of parameters based on the results of the Arellano-Bond test and valid instruments based on the results of the Sargan test. The t-test results show that the previous period's ROA has a positive and significant influence on ROA, CR has a negative and significant influence on ROA, DR has no significant effect on ROA, and inflation has a positive and significant effect on ROA. So, the variables that significantly affect ROA are the ROA of the previous period, CR, and inflation. Based on the study's results, investors must choose companies with a higher ROA value compared to the ROA of the previous year. And choose a company that has a low CR value.
STRUCTURAL EQUATION MODELING MULTIGROUP INDIRECT EFFECTS ON BANK MORTGAGE PAYMENT TIMELINESS
Authors: Maisaroh Ulfah , Fernandes Adji Achmad Rinaldo , Iriany Atiek
Published: December 2023

Structural Equation Modeling (SEM) is a multivariate statistical method that is used to thoroughly explain the relationship between latent variables simultaneously. Until now, SEM continues to grow in research. This research was conducted to examine the indirect effect on the timeliness of paying bank mortgages with a multi-group moderation approach. Analysis to identify factors that influence the timeliness of paying bank mortgages is an important step for banks before extending credit to prospective customers. The data used in this research is secondary data from research grants from National Competitive Basic Research. The data scale used is the Likert scale for exogenous, mediating endogenous, and pure endogenous variables. While the moderating variable uses a dummy variable. The results of the study show that the indirect effect of Capacity and Capital on Pay on Time for Bank Mortgage customers has a significant effect, both on non-current collectibility status and current collectibility status. This is evidenced by the Sobel test value greater than (1.96) on the indirect effect test, and the p-value of the Wald test is smaller than (0.05) on the moderation indirect effect test. Mediator variable is able to increase the effect of exogenous variables on endogenous variable Customers with current collectibility status have a stronger influence on timely payments than customers with non-current collectibility status.
Machine Learning-Based Fire Detection: A Comprehensive Review and Evaluation of Classification Models
Authors: Secilmis Adildabay , Aksu Nurullah , Dael Fares A. , Shayea Ibraheem , El-Saleh Ayman A.
Published: December 2023

Fires, regardless of their origin being natural events or human-induced, provide substantial economic and environmental hazards. Therefore, the development of efficient fire detection systems is of utmost importance. This study provides a comprehensive examination of the extant body of literature about studies on fire detection utilizing machine learning techniques. Significantly, the studies employed three distinct categories of datasets: pictures, data derived from Wireless Sensor Networks (WSNs), or a hybrid amalgamation of both. Our work mainly aims to categorize fire-related data utilizing four distinct classification models: Support Vector Machines (SVMs), Decision Trees, Logistic Regression, and Multi-Layer Perceptron (MLP). The model with the highest accuracy and ROC curve performance was identified through experimental analysis. The results of our study indicate that the MLP model exhibits the highest overall accuracy, achieving a score of 0.997. In this study, we analyze the learning curves to showcase the positive training dynamics of our model. Additionally, we explore the scalability of our model to ensure its suitability in real-world situations. In general, our research underscores the possibility of employing machine learning methodologies for fire detection, specifically emphasizing the effectiveness of the Multilayer Perceptron (MLP) model. This study contributes to the existing literature by offering valuable insights into the performance of several categorization models and conducting a comprehensive investigation of the Multilayer Perceptron (MLP) architecture. The results of our study have the potential to contribute to the advancement of fire detection systems, leading to enhanced accuracy and efficiency. This, in turn, may mitigate the adverse impacts of fires on both society and the environment.
Pengembangan Media BOGASA (Board Game Arab Raksasa) untuk Meningkatkan Keterampilan Membaca Bahasa Arab Siswa SMA
Authors: Noormalasari Deby Ayu , Makhshun Toha , Warsiyah Warsiyah
Published: December 2023

Penelitian ini didasari karena adanya permasalahan membaca bahasa Arab pada siswa tingkat SMA salah satunya di SMA Islam Sultan Agung 3 Semarang. Penelitian ini berupaya mengembangkan media pembelajaran untuk meningkatkan keterammpilan membaca siswa dengan menggunakan media pembelajaran yang bernama BOGASA (Board Game Arab Raksasa). Penelitian ini merupakan jenis penelitian kualitatif, dan desain penelitian menggunakan Research and Develophment (R&D) hingga tahap kelima yaitu revisi desain setelah validasi oleh ahli. Data penelitian ini diperoleh menggunakan non tes berupa wawancara, observasi, angket, dan analisis SWOT. Hasil dari penelitian ini adalah sebagai berikut. Pertama, guru dan siswa menghendaki adanya media BOGASA (Board Game Arab Raksasa) dalam meningkatkan keterampilan membaca bahasa Arab yang meliputi kosakata, materi, dan evaluasi yang dikemas dalam bentuk permainan. Kedua, penilaian ahli media dan guru dari seluruh aspek mendapatkan nilai rata- rata 90,5, berdasarkan paparan tersebut, maka dapat diketahui bahwa media pembelajaran BOGASA (Board Game Arab Raksasa) termasuk kategori sangat layak untuk digunakan. Ketiga, analisis SWOT buku pegangan siswa dengan media pembelajaran BOGASA yaitu masing- masing media mempunyai kekuatan dan kelamahan, kekuatan pada produk lama bisa dipertahankan sedangkan kelemahan pada produk lama dapat dijadikan acuan untuk mengembangkan produk baru
HUBUNGAN SUPERVISI KEPALA SEKOLAH DAN MOTIVASI KERJA DENGAN KEPUASAN KERJA GURU SD DI KECAMATAN PEDURUNGAN KOTA SEMARANG
Authors: Wibowo Sapto Armin
Published: December 2023

Dalam pelaksanaan tugas pokok dan fungsi (Tupoksi), guru/tenaga kependidikan sebagai profesi menyandang persyaratan tertentu sebagaimana tertuang di dalam Undang-Undang Republik Indonesia Nomor 20 tahun 2003 tentang Sistem Pendidikan Nasional. Untuk dapat melaksanakan tugas dan tanggung jawab secara profesional, seorang guru dituntut memiliki beberapa kemampuan dan keterampilan tertentu, yang erat kaitannya dengan peningkatan sumber daya manusia melaluisektor pendidikan, oleh karena itu perlu upaya-upaya untuk meningkatkan mutu guru agar menjadi tenaga professional, dalam rangka meningkatkan kompetensi guru dalam proses pembelajaran, yang dilengkapi dengan program pembelajaran, persiapan, kesesuaian bahan ajar, penguasaan kelas, penggunaan metode dan media pembelajaran yang tepat, sehingga peningkatan mutu pendidikan dapat berhasil dengan baik. Tujuan penelitian ini adalah: (1) menganalisis hubungan supervisi kepala sekolah terhadap kepuasan kerja guru SD di Kecamatan Pedurungan KotaSemarang, (2) menganalisis hubungan motivasi kerja terhadap kepuasan kerja guru SD di Kecamatan Pedurungan Kota Semarang, dan (3) menganalisis hubungan supervisi kepala sekolah dan motivasi kerja secara bersama-sama terhadap kepuasan kerja guru SD di Kecamatan Pedurungan Kota Semarang. Manfaat penelitian: (1) sebagai salah satu literatur manajemen sumber daya pendidikan dan (2) bahan pengambilan kebijakan dalam meningkatkan kepuasan kerja guru.Populasi dan sampel penelitian adalah guru PNS dan guru tetap yayasan SD di KecamatanPedurungan Kota Semarang sebanyak 115 guru. Dari 115 populasi diperoleh sampel sebesar 89 guru. Sumber data adalah data primer. Pengukuran variabel mengggunakan skala likert. Penelitian adalah penelitian eksplanatori. Analisis data menggunakan regresi liner berganda.Has il penelitian ini adalah: (1) terdapat hubungan yang signifikan supervisi kepala sekolah dengan kepuasan kerja guru dengan perolehan hasil uji t dengan nilai probabilitas sebesar 0,000 < 0,05, (2) terdapat hubungan yang signifikan motivasi kerja guru dengan kepuasan kerja guru dengan perolehan hasil uji t dengan nilai probabilitas sebesar 0,000 < 0,05, dan (3) terdapat hubungan yang signifikan supervisi kepala sekolah dan motivasi kerja dengan kepuasan kerja guru secara simultan dengan perolehan hasil uji F dengan nilai probabilitas sebesar 0,000 < 0,05.
PENINGKATAN MOTIVASI DAN KTIVITAS BELAJAR MAHASISWA PGSD UMP PADA MATA KULIAH STRATEGI BELAJAR MENGAJAR DI SD MELALUI COOPERATIVE LEARNING TIPE NHT (NUMBERED HEADS TOGETHER)
Authors: Muslim Aji Heru
Published: December 2023

Penelitian ini bertujuan untuk meningkatkan aktivitas dan motivasi belajar mahasiswa pada matakuliah Startegi Belajar Mengajar DI SD melalui Cooperative Learning tipe NHT (Numbered Heads Together). Jenis penelitian ini adalah penelitian tindakan kelas yang terdiri dari 2 siklus. Obyek dalam penelitian ini adalah mahasiswa kelas A Semester II Prodi Pendidikan Guru Sekolah Dasar UMP yang berjumlah 50 mahasiswa yang terdiri dari 15 siswa laki-laki dan 35 siswa perempuan. Instrumen yang digunakan dalam pengumpulan data menggunakan lembar observasi untuk aktivitas mahasiswa dan angket motivasi untuk motivasi belajar mahasiswa, analisis datanya secara deskriptif kualitatif dipersentasekan. Indikator dalam penelitian ini apabila terjadinya peningkatan aktivitas dan motivasi belajar mahasiswa. Hasil penelitian menunjukan model Cooperative Learning tipe NHT dapat meningkatkan aktivitas dan motivasi belajar mahasiswa pada mata kuliahStrategi Belajar Mengajar Di SD. Hal tersebut dapat dibuktikan dengan meningkatnya aktivitas mahasiswa dalam pembelajaran seperti pada siklus I dengan skor rata-rata yang diperoleh mahasiswa yaitu 73,25% dengan kriteria baik dan pada siklus II dengan skor rata-rata yang diperoleh mahasiswa yaitu 84,5% dengan kriteria sangat baik. Hal ini menununjukkan bahwa peningkatan aktivitas belajar mahasiswa menggunakan pembelajaran kooperatif tipe TGT dapatmeningkatkan Aktivitas belajar mahasiswa mencapai 11,25% dari siklus I ke siklus II. Selain aktivitas mahasiswa juga dapat meningkatkan motivasi belajar mahasiswa, pada siklus I motivasibelajar mahasiswa mencapai 73,24% termasuk dalam kriteria termotivasi dan pada siklus II motivasi belajar mahasiswa meningkat dengan persentase 77,62% termasuk dalam kriteria sangat termotivasi. Hal itu dapat dilihat dari perolehan persentase yang mengalami peningkatan 4,38% dari siklus I ke siklus II.
KEMAMPUAN MENDESKRIPSIKAN DAUR HIDUP ORGANISME DENGAN MEDIA KARTU BERGAMBAR DILIHAT DARI TINGKAT KEMANDIRIAN BELAJAR SISWA SD INKLUSI
Authors: Roysa Mila , Fakhriyah Fina
Published: December 2023

Pendidikan inklusi merupakan suatu pendekatan pendidikan yang inovatif dan strategis untuk memperluas akses pendidikan bagi semua anak berkebutuhan khusus termasuk anak penyandang cacat. Adanya sekolah dasar inklusi dapat menjadikan siswa berkebutuhan khusus menjadi terisolir dan merasa didiskriminasikan di dalam pembelajaran di sekolah, karena setiap anak mempunyai hak yang sama untuk memperoleh pendidikan.Pembelajaran mendeskripsikan daur hidup dengan media kartu bergambar dilihat dari kemandirian belajar siswa SD inklusi diharapkan dapat meningkatkan kemandirian siswa dalam pembelajaran IPA berdasarkan aspek kebahasaan melalui materi daur hidup dan mendeskripsikannya.
PENINGKATAN MINAT DAN PRESTASI BELAJAR MATEMATIKA MATERI JARAK DAN KECEPATAN MELALUI PEMBELAJARAN KOOPERATIF TIPE STAD DI KELAS V SD NEGERI PANDEANLAMPER 03 SEMARANG
Authors: Muhamad Afandi** Dwi Wahyuningsih*
Published: December 2023

Penelitian ini bertujuan untuk meningkatkan minat dan prestasi belajar matematika MateriJarak dan Kecepatan melalui model pembelajaran Kooperatif Tipe STAD pada siswa kelas V SDNegeri Pandeanlamper 03 Semarang. Jenis penelitian ini adalah penelitian tindakan kelas yangterdiri dari 2 siklus. Obyek dalam penelitian ini adalah siswa kelas V SD Negeri Pandeanlamper03 Semarang yang berjumlah 39 siswa. Terdiri dari 18 siswa laki-laki dan 20 siswa perempuan.Instrumen yang digunakan dalam pengumpulan data menggunakan tes/evaluasi, angket motivasi,lembar observasi untuk aktivitas guru dan aktivitas siswa. Analisis datanya secara deskriptifkualitati dipersentasekan. Hasil penelitian menunjukan pembelajaran dengan menggunakan modelpembelajaran kooperatif tipe STAD dapat meningkatkan minat belajar siswa. Hal ini ditandai dengansiswa yang sebelumnya pasif dalam proses pembelajaran menjadi aktif dalam pembelajaran. Selainitu siswa yang sebelumnya tidak memperhatikan guru menjadi memperhatikan guru pada saatproses pembelajaran. Berdasarkan angket minat belajar siswa pada siklus I dengan skor 1354 danpresentase 75,18 % sedangkan pada siklus II dengan skor 1392 dan prosentase 82,40% termasukdalam criteria minat belajar yang baik. Selain minat belajar siswa yang meningkat, pembelajarandengan menggunakan model pembelajaran kooperatif tipe STAD dapat meningkatkan prestasibelajar siswa. Hal ini dapat dilihat dari hasil siklus I dan siklus II. Prestasi belajar siswa dapatdilihat dari ketuntasan belajar siswa pada siklus I dengan nilai rata-rata 77,9 dan ketuntasan belajar60,52 %, kemudian pada siklus II meningkat dengan nilai rata-rata 89,5 dan ketuntasan belajar92,10 %
INTERNALISASI NILAI PENDIDIKAN KEWARGANEGARAN PADA PENDIDIKAN DASAR
Authors: Martati Badruli
Published: December 2023

Tujuan pendidkan nasional yang tercantum dalam UU No. 20/2003 tentang Sisdiknas, halitu membawa dampak pada keharusan menyelenggarakan pendidikan secara benar. Artinya gurudan siswa yang terlibat dalam pembelajaran dapat melaksanakan sesuai dengan kaidah-kaidahyang telah disepakati. Guru melaksanakan pembelajaran secara profesional, artinya memilikikompetensi sebagaimana disyaratkan dalam peraturan perundang-undangan. Sedangkan siswasebagai pebelajar hendaknya diperhatikan hak-haknya, agar dapat mengembangkan seluruhpotensi yang ada pada dirinya.
PELATIHAN PEMBELAJARAN BERBASIS PORTOFOLIO BAGI GURU-GURU MI MUHAMMADIYAH PASIRMUNCANG
Authors: Heru Muslim Aji
Published: December 2023

Pelaksanaan kegiatan pembelajaran di MIMuhammdiyah Pasirmuncang bertujuan untuk membantu mengembangkan kemampuan guru-guru di MI Muhammdiyah Pasirmuncang dalam pelaksanan proses pembelajaran dikelas. Guru-guru MI Muhammdiyah Pasirmuncang masih banyak belummenerapakan/menggunakan pembelajran yang menarik pada proses pembelajaran di dalam kelas berlangsung. Hal ini disebabkan mereka belum mendapatkan suatu pelatihan atau worksop tentang pelatihan pembelajaran berbasis portofolio di MI Muhammdiyah Pasirmuncang yang menarik dan bermakna.Pelatihan dilaksanakandi MI Muhammadiyah Pasirmuncang, Kecamatan Purwokerto Barat, Kabupaten Banyumas.Pelatihan dilaksanakan pada hari Kamistanggal 14 Januarai 2016. Metode yang digunakan dalam kegiatan pelatihan pelatihan pembelajarn berbasis portofolioadalah ceramah, diskusi, simulasi dan pembimbingan. Makalah tentang media pembelajaran disampaikam melalui LCD setelah itu dilanjutkan dengan tanya jawab dengan materi: pelatihanpembelajarn berbasis portofolio. Pelatihan ini berhasil, kepala sekolah dan guru menjadi lebih paham tentanng pelatihan pembelajaran berbasis portofolio, namun demikian mereka masih memerlukan bimbingan secara terus menerus.
Penggunaan Media Pembelajaran Matematika Sekolah Dasar
Authors: Feriyanda  , Khosiyono Banun Havifah Cahyo , Nisa Ana Fitrotun
Published: December 2023

Artikel ini bertujuan untuk mengetahui penggunaan media pembelajaran dalam materi kubus. Metode yang digunakan saat ini adalah penilaian langsung melalui penelitian tindakan kelas.  Hasil penelitian menunjukkan bahwa melalui penggunaan media pembelajaran dalam materi kubus, dapat meningkatkan hasil belajar siswa dan pembelajaran menjadi lebih efektif pada pelajaran matematika.
Profil Pembelajaran Digital Sekolah Dasar
Authors: Hotman Sugeng Ritonga  , Khosiyono Banun Havifah Cahyo
Published: December 2023

In the digital era or the current information age, science and technology are developing rapidly. This development has the impact of being more open and spreading information and knowledge from and to all over the world, breaking the boundaries of distance, place, space, and time. This is pursued through creative learning development and innovation activities in digital elementary learning activities that are expected to be able to foster student interest and motivation in learning. So that learning can be more interesting, fun, and meaningful. The purpose of writing the article is to describe elementary digital learning. This study uses a qualitative descriptive method with the results of the research in the form of descriptive analysis. The subjects studied were fifth grade students at Mutiara Hati Integrated Islamic Elementary School, totaling 10 students. Data collection techniques were carried out through interviews and observation techniques as well as documentation. Data analysis techniques were carried out using triangulation and drawing conclusions. The results of this study indicate that digital learning in elementary schools can provide opportunities for students to actively and creatively express ideas in participating in learning and not feel bored during learning.
PENGEMBANGAN INSTRUMEN PENILAIAN SIKAP PERCAYA DIRI DALAM PEMBELAJARAN BAGI SISWA SEKOLAH DASAR
Authors: Yuli Astuti Yuli Astuti , Pardimin  , Setiawan Ari
Published: December 2023

The research objectives is to produce an instrument for assessing self-confidence in appropriate learning, knowing the quality of the assessment instrument, and knowing the results of the instrument that has been tested on students. This type of research is development research (Research & Development). The data collection technique for this research is a student self-assessment questionnaire with a cluster random sampling technique of 100 for limited trials and 150 for expanded trials. The results of the research show that the instrument for assessing self-confidence in learning that was developed is suitable for use with elementary school students. The results of the instrument validity test using Exploratory Factor Analysis (EFA) showed a KMO MSA value of 0.716, the results of the instrument reliability test using Cronbach's Alpha showed a reliability value of 0.758. These results prove that the self-confidence assessment instrument is valid and reliable. The results of the assessment on the application test of 53 students showed that the attitude of self-confidence in the aspect of self-ability was 86.79% entrenched and 13.21% developed, the attitude of self-confidence in the aspect of responsibility was 94.34% entrenched and 5.66% developed, the attitude of trust in the aspect of communication skills, 84.91% are cultured and 15.09% are developing.
PENINGKATAN KOMPETENSI PEDAGOGIK DALAM MENYUSUN RPP MELALUI SUPERVISI AKADEMIK PADA GURU SMAN 1 KOLANG KABUPATEN TAPANULI TENGAH TAHUN PELAJARAN 2021/2022
Authors: Manurung Simron
Published: December 2023

Tujuan penelitian tindakan sekolah ini adalah untuk meningkatkan Kompetensi Guru dalam Menyusun Rencana Pelaksanaan Pembelajaran melalui Supervisi akademik pada Guru SMAN 1 Kolang Kabupaten Tapanuli Tengah, dalam menyusun rencana pembelajaran yang sesuai dengan standar kompetensi masing-masing pelajaran agar dapat menjadi acuan dalam proses pembelajaran sehingga peserta didik mampu mencapai kriteria ketuntasan minimal. Metode yang digunakan pada penelitian ini adalah Penelitian Tindakan (action Research) yang terdiri dari 2 (dua) siklus, dan setiap siklus terdiri dari: Perencanaan, Pelaksanaan, Pengamatan, dan refleksi
ISLAMIC PERSPECTIVES ON ENVIRONMENTAL CONSERVATION AND GOVERNMENT POLICIES ON MITIGATING THE NATURAL DISASTER IN INDONESIA
Authors: Putra Dedisyah , Hasibuan Zuhdi , Edi Sabrun
Published: December 2023

Abstract: This article will find policy considerations in disaster mitigation planning by looking at disasters that have occurred before and Islam contributes to caring for the environment before, during and after disasters. This research uses a qualitative approach with a literature study method. Data were obtained from secondary sources to explore conceptual and comparative perspectives. The results of this study are three, namely; Islamic teachings in the Qur'an and Hadith show guidelines for humans to preserve nature to prevent natural disasters early on. Government policy also plays an important role in preventing all possibilities that have the potential to trigger natural disasters. Finally, two factors, namely Islamic teachings and government policies in terms of preventing disasters, must create the prevention of natural disasters.

Kata Kunci: Lingkungan Hidup, Konservasi, Islam, Kebijakan Indonesia, Mitigasi

Abstrak: Artikel ini akan menemukan pertimbangan kebijakan dalam perencanaan mitigasi bencana dengan melihat bencana-bencana yang telah terjadi sebelumnya dan Islam berkontribusi dalam merawat lingkungan sebelum terjadi bencana, saat dan setelah kejadian. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi pustaka. Data diperoleh dari sumber kedua untuk menggali perspektif secara konseptual dan komparatif. Hasil dari penelitian ini ada tiga, yaitu; Ajaran Islam dalam Al-Qur’an dan Hadits menunjukkan pedoman bagi manusia untuk menjaga kelestarian alam mencegah bencana alam sejak dini. Kebijakan pemerintah juga berperan penting mencegah segala kemungkinan yang berpotensi memicu bencana alam. Terakhir, dua faktor yaitu ajaran Islam dan kebijakan pemerintah dalam hal mencegah bencana harus terciptanya pencegahan bencana alam.

Keywords: Environment, Conservation, Islam, Indonesian policy, Mitigating
Contextos del árabe como segunda lengua en Israel. Estado de la cuestión
Authors: Téllez Martín Adrián
Published: December 2023

Este artículo aborda la docencia del árabe en Israel como segunda lengua. Es decir, se centra en la enseñanza y aprendizaje del árabe dentro del sector demográfico hebreo. Dado el valor sociolingüístico y pedagógico de dicha cuestión, el artículo usa como base metodológica las diferentes disciplinas que conforman el ámbito la lingüística aplicada. Asimismo, y asumiendo la dificultad que supone hacer justicia académica al tan huidizo término de «contexto», se ha decidido apostar por una variedad de enfoques que permita dar cuenta de un fenómeno necesariamente complejo, con manifestaciones y causas que descansan en más de un dominio del saber. Comenzamos por analizar la situación lingüística de Israel, abarcando tanto la separación jerárquica hebreo-árabe como su explicación social y económica. Tras ello repasamos las políticas lingüísticas relativas al papel del árabe emanadas, principalmente, de los organismos oficiales, con especial énfasis en las políticas educativas. Finalmente, observamos las manifestaciones pedagógicas concretas. Para ello abordamos el fenómeno desde tres perspectivas: la metodología docente, las actitudes del alumnado y los resultados del aprendizaje. Las causas de este fracaso educativo, concluye el artículo, se hallan repartidas en dichos ámbitos de actuación lingüística: la sociedad, la política y las aulas.
The Method Of Logical Networks For Modeling Adaptive Knowledge Testing Systems
Authors: Liashyk Volodymyr , Shubin Ihor
Published: December 2023

The subject of the research is the development of mathematical and algorithmic support of the intellectual toolkit for the analysis of sets of test tasks and the modeling of the process of interpreting the quality of sets of test tasks, which allows for objective and comprehensive continuous control of the knowledge of subjects of training, subject to the implementation of the concept of virtual distributed training (retraining).

The purpose of the research is to improve the effectiveness of monitoring the knowledge of subjects of education in the distance form of education through the use of adaptive computer testing methods based on models of logical networks and the algebra of finite predicates.

The following tasks are solved in the article: the formation of a testing model in a distributed virtual learning environment and a model of validity assessment based on the content of sets of test tasks.

The following methods are used: methods of logical networks and algebraic programming based on the algebra of finite predicates and predicate operations, intellectual analysis of information.

The following results were obtained: the principles of intellectual analysis were formulated in the development of a model of a universal logical network and its application to actual tasks of artificial intelligence in the field of informal information processing, namely, in the construction of knowledge testing systems for distributed virtual learning

Conclusions. Algorithms for optimal multi-stage adaptive testing of knowledge as part of distributed virtual learning models and methods for analyzing the success of training subjects have been improved. The use of conjunctive decomposition with binary predicates achieves the goal of the research, because in this way any multi-place predicate can be represented by a logical network simulating the process of knowledge testing, the model of the subject of learning is described.
ANALYSIS OF CALCULATION AND EXPERIMENTAL METHODS OF DETERMINING HEAT LOSSES THROUGH WINDOW CONSTRUCTION
Authors: ORLOVA N.О.
Published: December 2023

Problem statement. Energy conservation in the conditions of deficit and constant growth in the cost of energy carriers is the main task of the housing and communal complex. Along with the use of energy-saving equipment in life support systems, a significant reduction in energy consumption can be achieved by introducing energy-efficient structural solutions into construction. Translucent structures are considered more unprotected, since heat losses through them can reach 54 % of the total, so they require new approaches to determining heat transfer coefficients. On the basis of the analysis of heat and mass transfer processes element by element for window blocks of non-standard shape, a correct estimate of the heat transfer coefficient was made. The purpose of the article on the basis of the analysis of the thermophysical processes formation through translucent enclosing structures, improve the dependences for calculating the heat transfer coefficient of double-glazed structures taking into acount the climatic load and establishing the relationship between their main thermotechnical characteristics. Results. Based on the analysis of thermophysical processes occurring in opaque structures, the dependence of the heat transfer coefficient of non-standard shape window block on the wind speed, taking into acount the orientation of the building height in the element-by-element determination, was obtained. The main factors affecting the value of the heat transfer coefficient of the window unit have been established, i. e., these dependencies can be used to evaluate energy-saving measures during an energy audit. Scientific novelty and practical value. Dependencies for determining the heat transfer coefficient of translucent structures, taking into acount heat loss through window frames, the location of the window in the wall opening, and structural solutions are obtained. An analysis of the results of heat transfer coefficients for windows of non-standard shape, which are aimed at choosing the optimal technical solutions of wine blocks from the standpoint of energy and resource saving, taking into acount climatic parameters, was conducted. Quantitative results of the radiant and convective components for the element-by-element determination of the heat transfer coefficient of window blocks and heat losses through them are obtained, allowing to establish the priority of energy-saving measures.
ON THE ISSUE OF ENSURING THE MICROCLIMATE CONDITIONS AND OPERATIONAL SAFETY OF HEAT SUPPLY SYSTEMS DURING EMERGENCY HEAT SUPPLY SHUTDOWNS
Authors: BІELIKOV A.S. , ZHELEZNYAKOV Ye.O.
Published: December 2023

The issue of ensuring the microclimate conditions of the premises in the buildings and structures during cold season are of exceptional importance, as it is the basis for ensuring the safety of human life and health. Emergencies and significant violations of the thermal regime in premises and buildings worsen microclimate conditions for an indefinite period of time, until its parameters reach extreme values dangerous for human life. These issues are particularly relevant in the context of the growing number of emergency situations in heat supply systems in Ukraine, both due to the high level of wear and tear of their infrastructure in general, and wartime emergencies. Therefore, conducting research to ensure the safety of heat supply systems operation during emergency shutdowns by determining the regularities of temperature changes in rooms, reaching the critical temperature and operating time of heat supply systems, taking into acount the spatial location of rooms in buildings and their design features, is an urgent task. The purpose of the article. Study of the risk of reaching critical modes of heat supply systems operation in emergency situations, taking into acount the structural features of buildings and ensuring the necessary microclimate conditions. Conclusion. On the basis of the conducted research, the regularities of the structural features of buildings and structures in emergency situations in heat supply systems to ensure microclimate conditions in the premises have been determined. The limit conditions for achieving critical indoor microclimate conditions due to accidents in heat supply systems are determined, which allows predicting the limit conditions for eliminating the consequences of emergency situations and optimizing the activities of repair and rescue services, which is especially important in connection with the failure of outdated heat supply systems and combat operations on the territory of the country.
Rethinking Premodern Governance: Passing the Torch
Authors: Feinman Gary
Published: December 2023

During his long, prolific career, Henri J. M. Claessen was a major contributor to the comparative study of political organizational change. Starting with The Early State (1978), edited with Peter Skalník, Claessen's writings served to broaden and enrich evolutionary approaches in anthropology by recognizing key axes of diversity in political forms and variation in temporal sequences. Furthermore, he recognized that studies of long-term political change required multiscalar concepts that included analytical lenses larger in size than single polities. Claessen drew on his encyclopedic knowledge of ethnographic and historical cases in challenging and expanding the mid-twentieth century approaches to social evolution. With his passing, now is an appropriate time to build on the theoretical advances that Claessen forged, most specifically by taking fuller account of what archaeological research has discovered during the years coincident with his academic career. Grounded in these findings, further steps toward a comparative framing aimed at understanding diversity and change in human political organization and cooperation are advanced.