bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation and Characterization of Carboxymethyl Microcrystalline Cellulose from Pineapple Leaf Fibre
Authors: Fouad Hassan , Jawaid Mohammad , Karim Zoheb , Meraj Aatikah , Abu-Jda Basim , Nasef Mohamed Mahmoud , Sarmin Siti Noorbaini
Published: March 2024

Highly functional and robust biobased materials are still in research to produce valuable bio-composites. In the present research, microcrystalline cellulose (MCC) was obtained through an agricultural waste, pineapple leaf fiber (PL) and further functionalized using upscaled chemical approach to carboxymethyl microcrystalline cellulose (CMMMC). To derive CMMCC from PL fiber, monochloroacetic acid, sodium hydroxide, and ethanol were used as solvents in an etherification procedure. FTIR, TGA, SEM, EDX, XRD, and DSC served to characterize the raw material, high crystalline MCC, and modified carboxy methyl MCC. FTIR analysis determined the presence of a different absorbed peak at approximately 1620.2 cm-1, and at 1423.8 cm-1, carboxyl groups were assigned to CMMCC. On the other hand, the XRD findings verified that CMMCC's crystalline structure has decreased. Analysis by SEM revealed a damaged surface morphology for CMMCC. Following chemical treatments, the EDX analysis revealed that each fiber sample contained a highly pure cellulose elemental composition. Thus, results explain the utilization of agricultural waste, pineapple leaf fiber to high valuable products like highly crystalline MCC, in addition further modification of MCC could leads to formation of highly functional material that could be used for other applications too in future.
Large Scale Knowledge Graph Representation Learning
Authors: Badrouni Marwa , Katar Chaker , Inoubli Wissem
Published: March 2024

The knowledge graph emerges as powerful data structures that provide a deep representation and understanding of the knowledge presented in networks. In the pursuit of representation learning of the knowledge graph, entities and relationships undergo an embedding process, where they are mapped onto a vector space with reduced dimensions. These embeddings are progressively used to extract their information for a multitude of tasks in machine learning. Nevertheless, the increase data in knowledge graph has introduced a challenge, especially as knowledge graph embedding now encompass millions of nodes and billions of edges, surpassing the capacities of existing knowledge representation learning systems.In response to these challenge, this paper presents DistKGE, a distributed learning approach of knowledge graph embedding based on a new partitioning technique.In our experimental evaluation,we illustrate that the proposed approach improves the scalability ofdistributed knowledge graph learning with respect to graph size compared toexisting methods in terms of runtime performances in the link prediction task aimed at identifying new links between entities within the knowledge graph.
IN VIVO EVALUATION OF ANTIDIARRHEAL ACTIVITY AND FORMULATION OF A FLOUR BASED ON EXTRACTS FROM THE LEAVES OF COMBRETUM GRANDIFLORUM G. DON (COMBRETACEAE)
Authors:   Laboratoire dEcologie Appliquee (LEA), Faculte des Sciences Agronomiques, Universite dAbomey-Calavi, 01 BP 526 Cotonou, Benin., Memonsso Pauline Pierrette Deguenon , Joanna Grace Ombouma ,   Departement de Pharmacologie. Faculte de Pharmacie. Universite des Sciences de la Sante, B.P 4009 Libreville-Gabon., Gouton Alban Houngbeme ,   Laboratoire de Chimie Organique et Pharmaceutique, Ecole de Pharmacie, Faculte des Sciences de la Sante, Universite dAbomey-Calavi, Campus du Champ de Foire, 01 BP 188, Cotonou, Benin., Carlos Cedric Ahoyo ,   Laboratoire dEcologie Appliquee (LEA), Faculte des Sciences Agronomiques, Universite dAbomey-Calavi, 01 BP 526 Cotonou, Benin., Ahokanou Fernand Gbaguidi ,   Laboratoire de Chimie Organique et Pharmaceutique, Ecole de Pharmacie, Faculte des Sciences de la Sante, Universite dAbomey-Calavi, Campus du Champ de Foire, 01 BP 188, Cotonou, Benin., Marcel Romuald Benjamin Houinato ,   Laboratoire dEcologie Appliquee (LEA), Faculte des Sciences Agronomiques, Universite dAbomey-Calavi, 01 BP 526 Cotonou, Benin.
Published: March 2024

Althoughmany conventional antidiarrheal agents are available, the inherenttoxicityof thesedrugsprovides an avenue to explore for safe and effective alternative medications. The objective of thisstudyis to evaluate in vivo the antidiarrhealactivity of extractsfrom the leaves of Combretumgrandiflorum and to formulate an antidiarrhealflour.The antidiarrhealactivity of Combretumgrandiflorumextractswascarried out usingmodels of castor oil-induceddiarrhea, castor oil-induced anti-enteropolling and intestinal transit. The formulation of the antidiarrhealflourwas made following the classic CCC calculationmethod. The results show a significantreduction (pË‚0.01) in the frequency of wetstools and water content of diarrhea, intestinal motility, intestinal fluid accumulation and a delay in the onset of diarrhea by compared to controls, wereobserved in micetreatedwith the aqueousextract of Combretumgrandiflorum. Furthermore, the test batchestreatedwith the hydroethanolicextract and the referencemolecule (loperamide), no emission of diarrhealstools, no mass of freshdiarrhealstools, wasobserved. However, thiseffect of loperamideisstatisticallyidentical to that of the hydroethanolicextract. The formulation of antidiarrhealflourwith the hydroethanolicextract of Combretumgrandiflorumwillprovide an antidiarrhealfoodwith good nutritional value and acceptable rheologicalproperties. Additionalresearchisthereforenecessary to findflours to resolvediarrheaproblems.
INTELLIGENT FIELD AUTOMATION SYSTEM
Authors:   Research Scholar, Department of Electronics, Sri Ramakrishna College of Arts and Science (Autonomous), Coimbatore, Tamilnadu, India., P. James Antony , Sidharthan V. ,   Asso Prof & Head, Department of Electronics, Sri Ramakrishna College of Arts and Science (Autonomous), Coimbatore, Tamilnadu, India.
Published: March 2024

The economy of India is a developing diverse economy. Nowadays, India grades second worldwide in farm production. Farming and connected areas like forestry and fisheries accounted for 13.7% of the GDP (gross domestic product) in 2013, about 50% of the workforce. The economic contribution of agriculture to Indias GDP is steadily declining with the countrys broad-based economic growth. Agriculture is the broadest economic sector and it has an importantplace in the overall socio-economic fabric of India.The prime concern being played is that deficiency of water, not just any water, but potable water. Agriculture automation [1] is the procedure of using several technical apparatuses to improve and automate agricultural dealings. This toolis essentially proposed to improve the labor-intensive and time-consuming agricultural procedures that farmers all over the world face. Farmers may gain more time and resources to devote in their properties with the support of farm automation and agriculture technology growths.This system is used to provide water to the field according to the need of soil by measuring the soil moisture level and atmospheric humidity level [2]. This systemavoids the wastage of water and electricity. The power consumption and water consumption can be controlled by a single motor, water tanks and some valves. Pump water to various water tanks by using single motor, valves and from multiple wells. The unauthorized persons intervention to the field, current atmospheric temperature level and moisture level of soil and animal attack can be remotely monitored and can be take necessary actions[3].
Factors influencing the multinational banks’ decisions to curtail operations in russia: Does ESG matter?
Authors: Rohov Heorhiy , Kolodiziev Oleh , Yehorycheva Svitlana , Krupka Ihor , Zaplatynskyi Markiian
Published: March 2024

The paper is devoted to an under-researched topic of the international business community’s reaction to russia’s armed aggression against Ukraine. It aims to evaluate how G7 and EU financial sanctions, institutional pressure, ESG ratings, and asset value of multinational banks in russia influence their decisions to reduce activities in the invading country. The study used the Yale CELI database of companies leaving and staying in Russia for the classification tree method. The results show that none of the banks headquartered in G7 and EU member states that had no or relatively little assets in russia before the invasion are doing business there on a pre-war scale. Unlike banks headquartered in other countries, most either curtailed their presence in that market or exited the market. This indicates that financial sanctions imposed by G7 and EU member states and institutional pressure on banks in these countries to withdraw from the russian market have proven effective to a certain extent. However, these factors do not meaningfully influence the business of multinational banks with significant assets in russia. The study has not confirmed the hypothesis that a bank with higher ESG ratings is more likely to curtail its operations in the market of an aggressor country and withdraw. However, nearly all banks that scaled back significant activities or even pulled out of russia have better ESG indicators than the industry average. The results suggest the feasibility of improving the methodologies of ESG rating providers for accurately measuring business reactions to aggression and war crimes.
Heavy Metal Pollution in Soils near Ilesha Gold Mining Area, Nigeria
Authors: Adekiya Aruna Olasekan , Oloruntoba Adedeji , Ewulo Babatunde Sunday , Ogunbode Timothy , Sangoyomi Titilayo
Published: March 2024

Background

The discovery of extensive gold deposits has raised concerns about potential heavy metal contamination in waterways and adjacent soils, particularly in developing nations like Nigeria where environmental regulations may not be stringent enough.

Objective

A research study was conducted to assess the levels of heavy metals in surface soils (0 to 25 cm deep) across 30 sites within three selected areas (Epe, Igun, and Ijana) located in the gold mining region of Ilesha, Osun State Nigeria.

Methods

The study employed an atomic absorption spectrophotometer to measure the total concentrations of heavy metals, specifically arsenic (As), cadmium (Cd), cobalt (Co), chromium (Cr), copper (Cu), nickel (Ni), lead (Pb), and zinc (Zn). Furthermore, the research encompassed an examination of various physicochemical properties of the soil samples, including organic matter content, pH levels, organic carbon content, calcium content, phosphorus levels, cation exchange capacity, and particle size distribution.

Results

Results showed a range mean concentration with standard deviation of As, Cd, Co, Cr, Cu, Ni, Pb and Zn of 1.0 – 7.1 ± 1.77 mg kg-1, 0.9 – 4.2 ± 0.84 mg kg-1, 1.0 – 6.0 ± 1.29 mg kg-1, 1.1 – 6.4 ± 1.57 mg kg-1, 2.90 – 20.9± 4.00 mg kg-1, 1.1 – 6.4 ±1.56 mg kg-1, 0.7 – 6.7 ±1.26 mg kg-1 and 11.7 – 70.7± 17.75 mg kg-1, respectively. The investigation of soils in three specific locations revealed significant contamination by heavy metals. However, it is worth noting that the concentrations of these metals fell below the established intervention levels outlined by environmental protection agencies such as the World Health Organization and the Food and Agriculture Organization. The distribution of heavy metals and their availability exhibited a direct correlation with the distance from the mining sites, spanning from 0 to 900 meters. Two critical factors influencing the concentration of heavy metals in these areas were identified as soil particle size, specifically the clay percentage, and pH levels.

Conclusion

Despite the presence of heavy metal pollution in the soils of Epe, Igun, and Ijana, they managed to maintain metal levels below the intervention thresholds set by environmental protection agencies, with the exception of cadmium (Cd).
Automatic Accident Detection and Alerting System using IoT
Authors: Jatain Aman , Chaudhary Sarika , Manju Bentham Science Publisher
Published: March 2024

This chapter proposes the implementation of an automatic accident detection
and alerting system utilizing the Internet of Things (IoT). This system aims to swiftly
and efficiently locate accident sites and notify emergency services, there by expediting
the transfer of victims to medical centers. Road accidents are one of the leading causes
of death annually, primarily due to delays in reporting the incidents. The proposed
system operates in two main parts. First, when a vehicle is impacted, sensors installed
in the vehicle activate and capture the location via the Global System for Mobile
Communication (GSM) module. Subsequently, information about the accident site and
the victim’s condition is sent to a registered phone number through the GSM module.
Essentially, when an accident occurs, the installed piezoelectric sensor immediately
detects the impact, relaying this information to the microcontroller. The
microcontroller then sends an alert message, including location and other pertinent
details, to the registered unit to ensure timely medical assistance. This system aims to
enhance the efficiency of medical services in reaching accident victims promptly,
potentially saving lives that might otherwise be lost due to delayed accident reporting.
Security and Privacy of Application of Smart Cities
Authors: Garg Amit , Kumar Ashish , Rastogi Ankur
Published: March 2024

In this chapter, we have discussed smart cities, their applications, and the
associated security and privacy issues. We will begin with a brief introduction to smart
cities, followed by a focus on the major and essential applications required to transform
a city into a smart city. We will cover topics such as smart education, healthcare,
governance, transportation, and services. Each of these applications plays a crucial and
efficient role in realizing the objectives of a smart city. Furthermore, it is imperative to
address the security and privacy concerns related to these applications, particularly
concerning data access and protection, and to identify the necessary security
requirements for these applications.
Security Metric for Information Network
Authors: Singhal Saurabh , Manju Bentham Science Publisher
Published: March 2024

Given that dislodged working conditions are in play, system administrators
are tasked with handling security solutions that, in turn, impact most of the working
layers of the OSI model. This comprehensive approach depicts a situation in which the
originator perceives that their data is traversing through a specified encryption process
at every stage/layer, starting from the top layer (i.e., Application Layer) and gradually
proceeding down to the last one (i.e., Physical Layer). Similarly, the decryption process
takes place at every stage/layer at the destination end. 
Predictive Analytics - An Introduction
Authors: Vijayarangam J. , Kamalakannan S. , Karthikeyan T.
Published: March 2024

Analytics is one of the front runners nowadays as we have data piling in
various sizes and quantities and in a dynamic fashion too. Data Analytics and in
particular, predictive analytics is a hot cake in the days of social media and social
networks as we grow from data banks to data rivers. This chapter is a glimpse of the
basics of analytics and a few predictive analytic models currently employed in the
analytical circle like Multiple regression, logistic regression and K nearest neighbor
model. As we are in the era of machine learning and artificial intelligence, having a
predictive analytical tool in our toolkit is all the more necessary.
A Study on Load Balancing in Cloud Computing
Authors: Vidhya M. , Devi R.
Published: March 2024

Cloud computing provides a dynamic model that provides many more
services to users, as well as organizations, that can purchase based on their
requirements. Cloud offers services such as storage for data, a platform for application
development and testing, providing an environment to access web services, and so on.
Common issues in a cloud environment are maintaining the application performance
with Quality of Service (QoS) and Service Level Agreement (SLA) provided by the
service providers to the organization. The major task done by the service providers is to
distribute the workload among multiple servers. An effective load-balancing technique
should satisfy the user requirements through efficient resource allocation in Virtual
Machines. A review of various LB techniques that result in overall performance and
research gaps is discussed in this paper.
A Survey on Facial and Fingerprint Based Voting System Using Deep Learning Techniques
Authors: Jeevitha V. , Jebathangam J.
Published: March 2024

The current electronic voting system can be hacked easily. There are a lot of
methods adopted to avoid malpractice. This research provides secured voting and
avoids human intervention that results in smooth and secure conduction of elections.
This research adopts biometric fingerprint recognition and face recognition of the voter
for authentication. In an electronic voting system, the first step in the verification
process can be easily achieved with the voter fingerprint data available in this database.
The second step of verification involves the face recognition of the voter by the data
already present in the database. If two-phase verification is done, the voter can proceed
with the voting process and present his/her vote. Then the vote will be encrypted. This
prevents fake votes and ensures perfect polling without any corruption. We have
created a fingerprint-based voting system where the user does not have to take hisher
ID with his/her necessary information. If the details match the previously stored
information of registered fingerprints, a person is allowed to cast his or her vote. If not,
a warning message will be displayed and the person is excluded from voting. In an
election counting stage, the admin will decrypt and count the votes.
Analysis of Machine Learning Algorithms in Healthcare
Authors: Nisha M. , Jebathagam J.
Published: March 2024

Machine learning entails making changes to the systems that carry out
artificial intelligence (AI)-related tasks. It displays the many ML kinds and
applications. It also explains the fundamental ideas behind feature selection methods
and how they can be applied to a variety of machine learning (ML) techniques,
including artificial neural networks (ANN), Naive Bayes classifiers (probabilistic
classifiers), support vector machines (SVM), K Nearest Neighbour (KNN), and
decision trees, also known as the greedy algorithm.
Een gedreven patrimoniumbeheerder. Marie Catherine Josephe, gravin van Merode en prinses van Rubempré en Everberg (1743-1794)
Authors: De Meyer Freeke
Published: March 2024

Marie Catherine Josephe, gravin van Merode-Rubempré, was een achttiende-eeuwse aristocrate die jarenlang verantwoordelijk was voor het beheer van de uitgestrekte landgoederen van de hoogadellijke familie Merode. Dit artikel onderzoekt hoe zij in die machtspositie terechtkwam en of zij als vrouw de wettelijke en morele autoriteit had om dat familiepatrimonium te beheren.
PENGARUH CIRCUIT WEIGHT TRAINING TERHADAP KELENTURAN
Authors: MANSUR MANSUR
Published: March 2024

PENGARUH CIRCUIT WEIGHT TRAINING TERHADAP KELENTURAN
KAJIAN ARTIKEL: BUKTI KESAHIHAN DAN KEANDALAN ALAT UKUR: TANGGAPAN ATAS ARTIKEL "TES KETRAMPILAN OLAHRAGA JUDO BAGI MAHASISWA"
Authors: Mardapi Djemari
Published: March 2024

KAJIAN ARTIKEL: BUKTI KESAHIHAN DAN KEANDALAN ALAT UKUR: TANGGAPAN ATAS ARTIKEL "TES KETRAMPILAN OLAHRAGA JUDO BAGI MAHASISWA"
KONSUMERISME, VISI HIDUP, DAN PENDIDIKAN DALAM KELUARGA
Authors: BASWEDAN ALIYAH RASYID
Published: March 2024

Abstract University students are specific group of youth who are expected to become the driving force of the future development of the nation. Therefore, they have to be will qualified persons with product oriented culture, in order to transform the culture to be positive. This study examined the students’ lifestyle; to find out whether it was more product or consumption oriented. Specifically this study examined the consumerism tendency of the UNY students, and to find out whether their family education and their live vision  had significant contribution to the students’ consumerism. The data indicated that : (1) the consumerism of the UNY  students were not high, (2) the mothers’ role was more dominant that the fathers’ in reducing the students consumerism, and (3) the students who had clear life vision  were at low consumerism. Keywords: university student, consumerism
LISREL: PROGRAM ANALISIS DATA YANG MENJANJIKAN
Authors: SUYATA PUJIATI
Published: March 2024

LISREL: PROGRAM ANALISIS DATA YANG MENJANJIKAN
MODEL PEMBELAJARAN TERPADU DENGAN PENDEKATAN FUNGSIONAL PADA MATA KULIAH HISTOLOGI
Authors: Ambardini Rachmah Laksmi
Published: March 2024

The aim of this study was to find out whether the integrated learning model through the functional approach could improve the students academic achievement in the Histology subject. This action research was done in three cycles during the second semester of the 2007/2008 academic year. Each cycle consisted of four activities: planning, implementation, observation, and reflection. The participants of the study were PJKR students of B Group of the Histology class. The research instruments were field notes, practicum worksheets, and tests. Data were analyzed descriptively. Results of the study indicated that: (1) the integrated learning model through the functional approach improved the students academic achievement in the Histology class; and (2) the most effective learning strategies in the Histology class were conducted in three steps: (a) explanation of the three dimension structure before the two dimension structure, (b) laboratory practice focused on identification of Histology specimen through active learning , (c) small group discussion with subject matter informed one week before the class.
UNIT AUTOMATIC MAIN FAILURE (AMF) POWER SYSTEM SEBAGAI SARANA UP-DATING KOMPETENSI GURU-GURU SMK JURUSAN LISTRIK
Authors: Zamtinah -
Published: March 2024

Prediction of electrical energy crisis in Indonesia clearly will cause losses for electricity consumers. The impact caused the activities disturb include production systems, loss of business opportunities, and loss of property intellectuals (for example, data lost), especially for the scientists and academics. Customers require backup supply of electricity when PLN have some trouble. However, switching supplies electricity to Genset, if done in a conventional addition that requires the existence of the operator, but also through a complex procedure and takes a long time. Therefore need to use an automation tool that supplies electricity more practical and economical, and can be used as a medium of education, and will solve the problem of scarcity of human resources automation field, such as the electricity supply at this time. Expected performance of these tools is able to activate the genset manually or automatically in case of interruption of supply electricity, the Power Loss, Under Voltage, Lower Voltage, frequency interference. All activities since the design to the test conducted in the Laboratory of Electrical Installation and Laboratory Data Communications, Department of Educational Electrical Engineering FT UNY. The method of this experiment is a Research and Development, and experimental data taken according to the research instrument. The data obtained and analyzed using descriptive. The result that activity is the Unit of AMF Power System based on microcontroller that is ready as a medium of education, both in the Department of Educational Electrical Engineering FT UNY and Technical High School. However, this tool only can detect the interference of Under Voltage and Upper Voltage, while the interference of frequency and the condition of fuel can not be carried out due to various technical constraints.
ANALISIS KECUKUPAN GURU PENDIDIKAN AGAMA ISLAM SEKOLAH DASAR DI KABUPATEN BANTUL
Authors: Mukminan Mukminan
Published: March 2024

This study is aimed at knowing the adequacy of elementary school Islamic education teachers in Bantul regency, in relation with the number of teachers, number of teaching hours, and the distribution by district.A survey of the real condition in the field, the study formulates a map of the religious teachers in the regency.Data of the study are collected by questionnaire and documentation and are analyzed using the quantitative descriptive technique.Research results show: (1) the general condition of the current number of the religious teachers can be considered as sufficient, the number 69 people even has excess; (2) with the assumption of the fixed number of the student groups for the Islamic classes, teacher outside/inside mutations are not likely to occur. Bantul regency projects a surplus of religious teachers to as many as 17 persons until the year 2014
Implementasi Pendekatan Saintifik Mapel Matematika Kelas VII Tahun Pelajaran 2013/2014 pada Kurikulum 2013 DIY
Authors: Rusindrayanti Rusindrayanti , Santoso Rusgianto Heru
Published: March 2024

Penelitian ini bertujuan untuk mendeskripsikan (1) pemahaman guru matematika, (2) implementasi pendekatan saintifik, dan (3) hambatan dan solusi. Penelitian ini merupakan penelitian deskriptif kualitatif. Subjek penelitian ini 20 orang guru matematika kelas VII di Provinsi DIY. Teknik pengumpulan data yang digunakan adalah observasi, wawancara, dan dokumentasi. Instrumen penelitian ini adalah lembar review dokumen, lembar observasi, dan pedoman wawancara. Data dianalisis secara kualitatif dengan proses pengumpulan data, reduksi data, penyajian data, dan verifikasi atau penarikan kesimpulan. Hasil penelitian menunjukkan bahwa (1) pemahaman guru memiliki kriteria baik dengan rata-rata penilaian total 3,86 dari nilai maksimum 5 (2) Implementasi pendekatan saintifik memiliki kriteria baik dengan rata-rata penilaian total 3,65 dari nilai maksimum 5. (3) Terdapat hambatan pada pembuatan RPP dan pelaksanaan pembelajaran. Cara mengatasi hambatan di antaranya, yaitu aktif dalam kegiatan yang diselenggarakan oleh MGMP, mengikuti workshop/pelatihan, kreatif dan inovatif dalam melaksanakan pembelajaran dengan pendekatan saintifik, dan pendampingan dari tim pengembang kurikulum, guru inti, kepala sekolah, serta pengawas tingkat kabupaten atau kota.Kata Kunci: implementasi, pendekatan saintifik, matematika, Kurikulum 2013 The Implementation of Scientific Approach in Mathematics Subject for Grade VII in 2013/2014 of Curriculum 2013 DIY AbstractThis study is to describe (1) mathematics teachers' understanding, (2) the implementation of the Scientific Approach, and (3) the constraints and their solutions. This study is descriptive qualitative. The subjects in this study were 20 mathematics teachers of year VII in DIY. The data collection techniques used were observation, interviews, and documentation. The instruments used in this study were review document sheets, observation sheets, and interview manual sheets. The data were analyzed qualitatively based on the  process of data collecting, data reduction, data presenting, and verification or conclusion drawing. The results of the study showed that (1) the teachers' understanding is in  good criteria with the average total score of 3.86 for maximum score 5. (2) The implementation of the Scientific Approach is in good criteria with the total average score of 3.65 for maximum score 5. (3) There are  constraints in designing the lesson plan and its implementation. The ways to anticipate it include being active in MGMP routine activities, taking part in a workshop/training, being creative and innovative in using the Scientific Approach in the teaching process, getting the assistance from the curriculum developers, core teachers, school principals and   the regional superintendant.Keywords: implementation, scientific approach, mathematics, Curriculum 2013
Kompetensi pedagogik guru matematika SMP di Kabupaten Buol Sulawesi Tengah dalam mengimplementasi Kurikulum 2013
Authors: Asdar Asdar
Published: March 2024

Penelitian ini bertujuan untuk mendeskripsikan tingkat kompetensi pedagogik guru matematika SMP di Kabupaten Buol, Sulawesi Tengah, Indonesia dalam mengimplementasikan Kurikulum 2013. Penelitian ini merupakan penelitian survei yang menggunakan pendekatan kualitatif dan kuantitatif dengan populasi penelitian adalah seluruh guru matematika SMP di Kabupaten Buol. Subjek utama dalam penelitian ini adalah guru matematika sebanyak 32 orang dan subjek pendukungnya adalah siswa dimana guru matematika tersebut bertugas sebanyak 970 orang. Pengumpulan data dilakukan dengan metode tes dan nontes dengan instrumen yang digunakan adalah lembar angket dan lembar soal. Analisis data dilakukan secara deskriptif kuantitaif dan kualitatif. Kompetensi pedagogik diukur melalui penilaian sikap, pengetahuan, dan keterampilan guru matematika dalam merancang, melaksanakan, mengevaluasi, dan refleksi hasil evaluasi pembelajaran. Hasil penelitian menunjukkan bahwa kompetensi pedagogik guru matematika SMP di Kabupaten Buol, Sulawesi Tengah berada pada kategori cukup. Pedagogical competence of junior high school mathematics teachers in Buol Regency of Central Sulawesi in implementing Curriculum 2013 AbstractThis study was aimed to describe the level of pedagogical competence of junior high school mathematics teachers in Buol Regency, Central Sulawesi Province of Indonesia, in implementing Curriculum 2013. This study was a survey research using a descriptive model of qualitative and quantitative approach. Population in this research were junior high school mathematics teachers in Buol Regency. The main subjects of research were 32 mathematics teachers and the proponent subjects were 970 students who were taught by its mathematics teachers. The data collection was conducted using the test and non-test and the instruments used were a questionnaire sheet and a test sheet. Pedagogical competence was measured by assessing the attitudes, knowledge, and skills of mathematics teachers in designing, implementing, evaluating, and reflecting the results of the evaluation. The results show that pedagogical competence of junior high school mathematics teachers in Buol Regency in the category “enough”.
Pendekatan Kontekstual dalam Pembelajaran Matematika untuk Meningkatkan Berpikir Kritis pada Siswa Sekolah Dasar
Authors: Sulianto Joko
Published: March 2024

Sudah menjadi tugas guru sebagai pengelola pembelajaran adalah menciptakan situasi dan kondisi yang memungkinkan siswa belajar secara berdaya guna dan berhasil guna. Suatu upaya agar tercipta kondisi yang kondusif sehingga siswa dapat belajar secara optimal, yaitu dengan melaksanakan pembelajaran yang menggunakan pendekatan yang dapat membuat siswa belajar secara mudah dan dengan perasaan senang. Salah satu prinsip yang dikembangkan dalam KTSP adalah berpusat pada potensi, perkembangan, kebutuhan, dan kepentingan peserta didik dan lingkungannya. Apa artinya? Artinya KTSP dikembangkan berdasarkan prinsip bahwa peserta didik memiliki posisi sentral untuk mengembangkan kompetensinya. Peserta didik memiliki posisi sentral mempunyai makna bahwa kegiatan pembelajaran berpusat pada peserta didik. Pendekatan pembelajaran matematika di sekolah yang diduga akan sejalan dengan harapan dari kurikulum dan dapat meningkatkan berpikir kritis siswa adalah pendekatan kontekstual. Dalam pembelajaran yang menggunakan pendekatan kontekstual materi disajikan melalui konteks yang bervariasi dan berhubungan dengan kehidupan siswa baik di rumah, di sekolah maupun di masyarakat secara luas, dan pengetahuan didapat oleh siswa secara konstruktivis.
Problem Posing dalam Setting Kooperatif Tipe TAI Ditinjau dari Kemampuan Komunikasi dan Pemecahan Masalah
Authors: Kusnaeni Kusnaeni , Retnawati Heri
Published: March 2024

Penelitian ini bertujuan: (1) mendeskripsikan keefektifan pendekatan problem posing dalam setting pembelajaran kooperatif tipe TAI dan pendekatan konvensional ditinjau dari kemampuan komunikasi dan pemecahan masalah matematis, (2) membandingkan keefektifan pendekatan problem posing dalam setting pembelajaran kooperatif tipe TAI dan pendekatan konvensional ditinjau dari kemampuan komunikasi dan pemecahan masalah matematis. Populasi dalam penelitian ini adalah siswa kelas VIII SMP Negeri 11 Purworejo yang berjumlah 190 orang dan tersebar dalam 6 kelas. Berdasarkan pengambilan sampel diperoleh kelas VIII F sebagai kelompok eksperimen dan kelas VIII E sebagai kelompok kontrol. Data dianalisis menggunakan one-sample t-test, uji MANOVA dengan rumus T2 Hotteling dan uji-t dengan kriteria Bonferroni. Hasil penelitian adalah sebagai berikut. (1) Pada taraf kepercayaan 95%, penerapan pendekatan problem posing dalam setting pembelajaran kooperatif tipe TAI efektif, sedangkan pendekatan konvensional tidak efektif ditinjau dari kemampuan komunikasi dan pemecahan masalah matematis. (2) Penerapan pendekatan problem posing dalam setting pembelajaran kooperatif tipe TAI lebih efektif dibandingkan dengan penerapan pendekatan konvensional.Kata Kunci: problem posing, pembelajaran kooperatif tipe TAI, komunikasi matematis, pemecahan masalah matematis. The Cooperative of the TAI Type-Set Problem posing in Terms of the Communication and Problem Solving Competencies AbstractThis study aims to: (1) describe the effectiveness of the cooperative learning of the TAI type-set problem posing approach and the conventional approach in terms of the mathematical communication and problem solving competencies, (2) compare the effectiveness of the two approaches in terms of their mathematical communication and problem solving competencies. The research population comprised the 190 Grade VIII students, distributed in six classes, of SMP Negeri 11 Purworejo. The selected sample consisted of Class VIII F as the experimental group and Class VIII E as the control group. The data were analyzed using one-sample t-test, MANOVA test with T2 Hotteling’s formula and t-test with Bonferroni criterion. The results of the study are as follows. (1) At the 95% level of signi-ficance, the mathematics teaching through the cooperative learning of the TAI type-set problem posing approach is effective and the conventional approach is not effective in terms of the mathematical communication and problem solving competencies. (2) The application of the cooperative learning of the TAI type-set problem posing approach is more effective than that of the conventional approach.Keywords: Problem posing, Cooperative Learning of the TAI Type, Mathematical Communication, Mathematical Problem Solving
Pengaruh PMR dengan TGT terhadap Motivasi, Sikap, dan Kemampuan Pemecahan Masalah Geometri Kelas VII SMP
Authors: Amri Mohammad Saeful , Abadi Agus Maman
Published: March 2024

Penelitian ini bertujuan untuk mendeskripsikan: (1) keefektifan Pembelajaran Matematika Realistik (PMR) dan Pembelajaran Matematika Realistik (PMR) dengan metode belajar kooperatif tipe Teams Games Tournaments (TGT) ditinjau dari motivasi, sikap, dan kemampuan pemecahan masalah; (2) apakah PMR dengan TGT lebih baik dari pada PMR ditinjau dari motivasi, sikap, dan kemampuan pemecahan masalah Geometri pada siswa kelas VII SMP Budi Mulia Yogyakarta. Penelitian ini merupakan penelitian eksperimen semu dengan pretest-postest non equivalent group design. Populasi penelitian ini adalah seluruh siswa kelas VII yang terdiri atas tiga kelas. Kemudian diambil dua kelas secara acak sebagai sampel. Kelas VIIA diberi perlakuan PMR sedangkan VIIB diberi perlakuan PMR dengan TGT. Instrumen yang digunakan berupa angket motivasi, sikap, dan tes kemampuan pemecahan masalah. Validasi instrumen menggunakan validasi isi dan validasi konstruk. Reliabilitas instrumen menggunakan Alpha Cronbach. Data dianalisis dengan uji t-test one sample dan uji Manova. Hasil penelitian ini menunjukkan bahwa: (1) PMR dan PMR dengan TGT efektif ditinjau dari motivasi, sikap dan kemampuan pemecahan masalah; (2) MPR dengan TGT tidak lebih baik dari pada PMR ditinjau dari motivasi, sikap, dan kemampuan pemecahan masalah Geometri pada siswa kelas VII SMP Budi Mulia Yogyakarta.Kata Kunci: PMR, metode belajar kooperatif tipe TGT, motivasi, sikap, kemampuan pemecahan masalah matematika. AbstractThis study aimed to describe: (1) the effectiveness of Realistic Mathematic Education (RME) and Realistic Mathematic Education (RME) with cooperative learning of Teams Games Tournaments (TGT) type in terms motivation, attitude, and problem solving skills; (2) whether the RME with of TGT was better than RME in terms motivation, attitudes, and problem solving skills in geometry of The grade VII SMP Budi Mulia Dua Yogyakarta. This research is a quasi experiment with pretest-postest non equivalent group design. The research population was all students of grade VII SMP that tree classes. Two classes were taken randomly as the sample. VIIA class implemented RME while VIIB class implemented RME with TGT. The instruments used to collect the data were motivation and attitude questionnaires, and problem solving skills test. The instruments were validated using their content and construct. Reliability was measured using Cronbach Alpha. The data were analyzed statistically using the one sample t-test and Manova. The results of research show that: (1) RME and RME with TGT are effective in terms of motivation, attitudes, and mathematical problem solving skills; (2) RME with TGT is not better than RME in terms of motivation, attitude, and mathematical problem solving skills in geometry of grade VII SMP Budi Mulia Dua Yogyakarta.Keywords: RME (Realistic Mathematics Education), cooperative learning of TGT type, motivation, attitude, mathematical problem solving skills
Keefektifan Pendekatan CTL dan PPM Pembelajaran Matematika Metode GTG Ditinjau Keaktifan dan Prestasi Siswa
Authors: Nuryadi Nuryadi
Published: March 2024

Penelitian ini bertujuan untuk mendeskripsikan keefektifan pendekatan Contextual Teaching and Learning (CTL) dan Pendekatan Pemecahan Masalah (PPM) menggunakan metode Group to Group (GG) pada pembelajaran matematika ditinjau dari keaktifan dan prestasi belajar siswa. Penelitian ini adalah penelitian eksprerimen semu dengan pretest-postest nonequivalent control group design. Penelitian ini menggunakan dua kelompok eksperimen. Populasi penelitian mencakup seluruh siswa kelas VIII MTs Negeri Godean yang terdiri dari empat kelas. Dari populasi yang ada diambil secara acak dua kelas yaitu VIII A dan VIII C sebagai sampel penelitian. Instrumen yang digunakan untuk mengumpulkan data adalah tes prestasi belajar dan lembar observasi aktivitas belajar siswa terhadap matematika. Hasil penelitian menunjukkkan bahwa penerapan Pendekatan CTL dan PPM menggunakan metode GG dalam pembelajaran matematika efektif ditinjau dari aktivitas dan prestasi belajar siswa dalam matematikaKata Kunci: aktivitas belajar siswa, pendekatan CTL dan pendekatan pemecahan masalah, metode group to group, prestasi belajar siswa Effectiveness of CTL Approach and PPM with GTG Method on Mathematics Teaching in Terms of Learning Activeness and Achievement of the Students AbstractThis research aims to describe the effectiveness of Contextual Teaching and Learning (CTL) Approach and Problem-Solving (PS) Approach with Group to Group (GG) method on mathematics teaching in terms of learning activeness and achievement of the students. This study used two experimental groups. The population includes all 8th grade students of MTs N Godean which consist of four classes. A sample of two classes, VIII A and VIII C was established randomly teaching. The instruments used to collect the data are a mathematics achievement test and questionnaire. The result of the research shows that the application of the CTL Approach and PS Approach with GG method on mathematics teaching is effective in terms of learning activeness and achievement in mathematics.Keywords: student learning activity, contextual teaching and learning approach and problem-solving approach, group to group method, students’ achievement.
Pengaruh Pendekatan PMRI terhadap Motivasi Berprestasi, Kemampuan Pemecahan Masalah, dan Prestasi Belajar
Authors: Wahidin Wahidin , Sugiman Sugiman
Published: March 2024

Penelitian ini bertujuan untuk mendeskripsikan perbedaan pengaruh pendekatan Pendidikan Matematika Realistik Indonesia (PMRI) dan pendekatan konvensional serta keefektifan pendekatan PMRI dan pendekatan konvensional ditinjau dari motivasi berprestasi, kemampuan pemecahan masalah, dan prestasi belajar siswa pada siswa kelas VIII SMP Negeri 1 Luragung. Penelitian ini merupakan penelitian eksperimen semu (quasi experiment). Populasi penelitian ini adalah seluruh siswa kelas VIII SMP Negeri 1 Luragung, semester ganjil tahun pelajaran 2013/2014 yang terdiri atas delapan kelas. Sampel dipilih sebanyak dua kelas dari 8 kelas dengan menggunakan teknik cluster sampling. Perbedaan pengaruh dianalisis menggunakan uji multivariat (MANOVA) dan keefektifan dianalisis dengan uji one sample t test dengan taraf signifikansi 0,05. Hasil penelitian menunjukkan bahwa terdapat perbedaan pengaruh yang signifikan antara pendekatan PMRI dan pendekatan konvensional ditinjau dari motivasi berprestasi, kemampuan pemecahan masalah, dan prestasi belajar siswa dan pendekatan PMRI efektif ditinjau dari motivasi berprestasi.Kata Kunci: Pendekatan Pembelajaran Matematika Realistik Indonesia, pendekatan konvensional, motivasi berprestasi, kemampuan pemecahan masalah, prestasi belajar. The Effect of the IRME Approach on the Achievement Motivation, Problem Solving Skills, and Learning Achievement AbstractThis study aimed to describe (1) Differentiation the effect of Indonesian Realistic Mathematics Education (IRME) and the conventional approach and (2) Effectiveness of IRME approach and the conventional approach on achievement motivation, problem solving skills, and learning achievement of the eighth grade students of SMP Negeri 1 Luragung. This study was a quasi-experimental study (quasi-experiment). The population of this research was all the eighth grade students of SMP Negeri 1 Luragung, semester I academic year 2013/2014 consisting of eight classes. Two classes was chosen from 8 classes by using cluster sampling technique as samples. The effect of IRME were analyzed using multivariate test (MANOVA), and effectiveness were analyzed using one sample t test with a significance level of 0.05. The results show that there is a significant difference effect between IRME approach and the conventional approach on achievement motivation, problem solving skills, and students learning achievement. IRME approach effective on achievement motivation in the subject system linear equations in two variables in SMP Negeri 1 Luragung.Keywords: Indonesian Realistic Mathematics Education (IRME) approach, the conventional approach, achievement motivation, problem solving skills, learning achievement.
Pengembangan Modul Pembelajaran untuk Meningkatkan Pemahaman Konsep dan Minat SMP
Authors: Lasmiyati Lasmiyati , Harta Idris
Published: March 2024

Penelitian ini bertujuan untuk mengembangkan modul pembelajaran matematika yang layak untuk pembelajaran siswa SMP N 1 Pomalaa kelas VII Sulawesi Tenggara. Penelitian pengembangan ini menggunakan model Borg Gall. Subjek coba penelitian ini adalah siswa SMP N 1 Pomalaa kelas VII sejumlah 31 siswa, yang terdiri dari 6 siswa untuk uji coba terbatas dan 25 siswa untuk uji lapangan. Hasil penelitian menunjukkan bahwa modul pembelajaran geometri pada aspek kelayakan isi berkategori baik, pada aspek kelayakan bahasa dan gambar berkategori sangat baik, pada aspek penyajian berkategori sangat baik, dan pada aspek kegrafisan berkategori baik serta pembelajaran matematika yang menggunakan modul lebih baik dibandingkan kelas yang tidak menggunakan modul.Kata kunci: pengembangan, modul pembelajaran, pemahaman konsep dan minat Developing a Module to Improve Concept Understanding and Interest of Students of SMP AbstractThe study aimed to develop appropiate mathematics instructional module for mathematics instruction for seventh grade students of  SMP N 1 Pomalaa South-East Sulawesi. This research and development study used Borg and Gall model. Subject of research were 31 students of SMPN 1 Pomalaa.  Specifically, 6 students participated in the limited try-out and 25 students participated in the extended try-out. The result of study shows that the module of geometry learning for seventh grade students of SMP N 1 Pomalaa in terms of the aspect of content was categorized good, from the aspect of language and pictures was categorized very good, from the aspect of lay-out was categorized very good, and from the aspect of graphic design was categorized good, and also mathematics learning  using learning module was better than without module.Keywords : development, learning module, concept undertanding, interest
Exploring the Impact of the COVID-19 Pandemic on Twitter in Japan: Qualitative Analysis of Disrupted Plans and Consequences
Authors: Kamba Masaru , She Wan Jou , Ferawati Kiki , Wakamiya Shoko , Aramaki Eiji
Published: March 2024

Background

Despite being a pandemic, the impact of the spread of COVID-19 extends beyond public health, influencing areas such as the economy, education, work style, and social relationships. Research studies that document public opinions and estimate the long-term potential impact after the pandemic can be of value to the field.

Objective

This study aims to uncover and track concerns in Japan throughout the COVID-19 pandemic by analyzing Japanese individuals’ self-disclosure of disruptions to their life plans on social media. This approach offers alternative evidence for identifying concerns that may require further attention for individuals living in Japan.

Methods

We extracted 300,778 tweets using the query phrase Corona-no-sei (“due to COVID-19,” “because of COVID-19,” or “considering COVID-19”), enabling us to identify the activities and life plans disrupted by the pandemic. The correlation between the number of tweets and COVID-19 cases was analyzed, along with an examination of frequently co-occurring words.

Results

The top 20 nouns, verbs, and noun plus verb pairs co-occurring with Corona no-sei were extracted. The top 5 keywords were graduation ceremony, cancel, school, work, and event. The top 5 verbs were disappear, go, rest, can go, and end. Our findings indicate that education emerged as the top concern when the Japanese government announced the first state of emergency. We also observed a sudden surge in anxiety about material shortages such as toilet paper. As the pandemic persisted and more states of emergency were declared, we noticed a shift toward long-term concerns, including careers, social relationships, and education.

Conclusions

Our study incorporated machine learning techniques for disease monitoring through the use of tweet data, allowing the identification of underlying concerns (eg, disrupted education and work conditions) throughout the 3 stages of Japanese government emergency announcements. The comparison with COVID-19 case numbers provides valuable insights into the short- and long-term societal impacts, emphasizing the importance of considering citizens’ perspectives in policy-making and supporting those affected by the pandemic, particularly in the context of Japanese government decision-making.