bluuebunny/crossref_metadata_2025 huggingface dataset:
Mapping Light Pollution, a CubeSat
Authors: Bheemaiah Anil Kumar
Published: November 2019

Abstract:A key addition to the series of papers on non - lethal and reversible weapons, as a trail to peace, creating confidence through technocracy, this paper is on the design of linear light pollution monitoring satellites for combating the ugly menace of night sky pollution and towards PID roles in the creation of DSS support based on SaaS services for precision use of EMI based sleep inducing payloads in very light drones, potentially replacing inaccurate drone bombing.Keywords: PID systems, GIS, Cognitive Geography, Panoptic segmentation, Mapillary, DSS systems, SaaS, EMI Delta Sleep,LiFi, Integration filters(™).What: A dual use technology based on SaaS computing to map point sources of light pollution on the surface of the Earth with filters to distinguish stationary and moving sources. Dual use of this technology in remedying light pollution of the night sky for minimal circadian rhythm disruption and allied health disorders, and in the creation of filters for PID systems , useful in use cases, of anti insurgency strategy, with sleep weapon EMI integration as drone payloads.(Bheemaiah, n.d.)How:Light pollution is mapped using a cubesat imaging system originally developed for LiFi last mile connectivity from street lamps for 6G networking, but instead adopted on the trail-map to peace as a Peace Weapon(™) in anti insurgency strategy.Why:PID systems using moving light sources are critical in detecting insurgency across the pakistan India border, the LOC can be monitored using the above cubesat for confidence building measures as a PID system, to deter infiltration by subversives, preventing expensive disruption by infiltration of sabotage minded subversives.(“[No Title]” n.d.), Similar conflicts calling for peaceful resolution by reversible lethality is called for in technocracy, an apolitical far right strategy towards lasting peace, as endowed by K.O.D(™) or the King Of Doves(™), a symbol of peace.
Optimization of Association Rules for Students' Data: A Soft Set
Authors:   Department of Computer Science and Engineering GMR Institute of Technology, Rajam, Andhra Pradesh, India., Gantayat Sasanko Sekhar
Published: November 2019

Association rule (AR) mining is a common method to find the associations between objects in a transaction or in a data set, which is simple logical rules, determine the critical relationship among the objects. The rule generation is difficult if it satisfies a predefined threshold value. To trace the relationship is very important for domains to reveal crucial and hidden information from the data set. Some critical relationship of the objects may appear rarely and to trace them using classical methods are difficult one. The apriori algorithm (AA) with hashing technique along with the PDI algorithm is used to find the appropriate ARs from the students’ dataset. Since soft set is a tool for handling imprecise parameterized data, the soft set concept is used in optimization process to get optimized ARs. In this paper, the ARs are optimized using soft set for further analysis.
DSSCC: Decision Support System for Ceramic Capacitor using Fuzzy Logic
Authors:   SEEE, Lovely Professional University, Phagwara, India., Bhargava Cherry , Gulati Shivani ,   Lambton College of Management and Technology, Toronto, Canada, Sharma Pardeep Kumar ,   LSPS, Lovely Professional University, Phagwara, India.
Published: November 2019

As the technology advances, the reliability becomes the main constraint for the successful operation of the electronic product. To fully automate the system, the electronic devices become more and more complex. Reliability becomes a challenge with the regular demand of low cost and high-speed devices. Residual life estimation of passive devices such as resistor, capacitor etc. is of a great concern. Failure of one small component can lead to fully damage of whole system. In this paper, a practical approach i.e. accelerated life testing is deployed to calculate remaining useful life of the ceramic capacitor. An intelligent model is formulated using various artificial intelligence techniques. Artificial Neural Network (ANN), Fuzzy Inference System (FIS) as well as Adaptive Neuro Fuzzy Inference System (ANFIS) are deployed to predict the remaining useful lifetime of an electrolytic capacitor. An error analysis is conducted to estimate the most accurate intelligent technique. A fuzzy based decision support system is modelled, which provides an interactive GUI to users. The user can access the live health status of electrolytic capacitor at various input parameters. It will warn the user to replace or repair the upcoming fault in the component or device, before it actually degrades or shut downs the complete system. The comparative analysis of all the artificial intelligence techniques shows that Adaptive Neuro Fuzzy Inference System (ANFIS) has the highest accuracy i.e. 99.5%, as compare to Artificial Neural Network (ANN) and Fuzzy Inference System (FIS), where accuracy rate is 98.06% and 97.84% respectively. This prediction system is helpful to reduce the problem of electronic e-waste by enabling the user to reuse the component.
Automatic Segmentation of Natural Color Images in CIE Lab Space using Possibilistic Fuzzy C Means Clustering
Authors:   Dept of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, India.., Kalist V. , Joe A. Anne Frank ,   Dept of Electronics and Instrumentation Engineering, Sathyabama Institute of Science and Technology, Chennai, India.., Vishnupriya G. ,   Dept. of Computer Science and Engineering, Jeppiaar Maamallan Engineering College, Chennai, India., Justindhas Y. ,   Dept. of Computer Science and Engineering, Jeppiaar Maamallan Engineering College, Chennai, India.
Published: November 2019

Clustering is the most significant assignment in image processing. This work performs the segmentation of natural color images in CIELab space based on the Possibilistic fuzzy c means clustering (PFCM).The basic principle of the proposed approach is the segmentation of natural color images based on the two-way approach of hill climbing (HC) and PFCM. In this work, RGB image is transformed into CIELab space for the efficient extraction of the secreted treasure in the images. The combined approach of local optimization search technique, HC and PFCM is applied for the segmentation of synthetic fiber images. This color histogram based technique works on the principle of identification of peaks in the color histogram of the natural color image. The identified peaks are considered as initial seed or clusters. These seeds are then applied to the PFCM to perform the final segmentation. Investigational outcomedemonstrates the competence of thetwo-way approach of HC and PFCMwhich presents the preeminentend result for less complexity color images.
CloudBridge Waste Segregator Automation using Machine Learning
Authors:   assistant professor in the Department of Electronics and Communication Engineering., M K Kavyashree , G R Arpitha ,   Bachelor of Engineering in Electronics and Communication from Sri Jayachamarajendra College of Engineering., R Kavya ,   Bachelor of Engineering in the department of Electronics and Communication Engineering from Sri Jayachamarajendra College of Engineering., L R Phi I Banrisha ,   B.E graduate student from the department of Electronics and Communication Engineering from Sri Jayachamarajendra College of Engineering, Mysore., C Surabhi ,   B.E graduate student from the department of Electronics & Communication Engineering from Sri Jayachamarajendra College of Engineering, Mysore.
Published: November 2019

There is a huge problem in creating space today because of growing population and research is going on profusely in finding space to dump waste. The waste has been dumped to rivers, underground and mixed with soil and by other methods. But all these methods are harmful to environment in long term. Our research is done on finding efficient way to segregate waste followed by recycling of wastes. The difficulties in isolation of various products are dealt using machine learning approach. The framework used to robotize the procedure of waste isolation to deal with the junk effectively and productively is one of the Machine Learning strategies called Convolutional Neural Network (CNN). The experiments showed that the performance of CNN is better because it recognizes the components in an image and recombines these components to recognize other structures while other methods learn to recognize as they go through it. The work will be segregated into 6 bins consisting of biodegradable, non- biodegradable. Here we have used the TensorFlow algorithm which uses Python. The applications of TensorFlow are Python application itself. The application of our research includes waste segregation in society, in industries, in agricultural fields. The recycled wastes can be used as organic material in many places.
Hybrid Starling Social Spider Algorithm for Energy and Load Aware Task Scheduling in Cloud Computing
Authors:   Assistant Professor, Computer Science, Karunya Institute of Technology and Sciences, Coimbatore, India., V M Arul Xavier , S Dr. Annadurai ,   Professor, Computer Science and Engineering, Hindusthan College of Engineering and Technology, Coimbatore, India.
Published: November 2019

The efficiency of the cloud-based systems is greatly relying on the task scheduling algorithm which affects the performance parameters such as makespan, response time, degree of imbalance and cost. In recent years, the energy efficiency is also considered as another challenging issue which affects the efficiency of cloud computing systems. This paper proposes a Hybrid Starling Social Spider Algorithm (Starling-SSA) for Energy and Load Aware Task Scheduling in cloud computing. The Starling-SSA is designed as a hybrid algorithm inspired by the intelligent behavior of social spider and the collective response behavior of starling birds. The foraging behavior of spider is implemented to identify the best VMs for the given task with minimum makespan and degree of imbalance. In addition to this, the distance factor is incorporated inspired by starling flock distance in order identify the closeness of VM pairs and avoids the VMs that are far away, thereby VMs can be limited during the searching process. This will greatly reduce energy consumption by taking only VMs that are belongs to the distance factor. The performance metrics such as makespan, degree of imbalance and energy efficiency are evaluated against the existing algorithms such as EATS, CBAT and HC-ACO. The results presents a significant improvements when comparing to the existing algorithms.
A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface
Authors:   Electronics & Communication Department, BVM Engineering College, Vallabh Vidyanagar, Dist. Anand, Gujarat, India, Patel Hiren ,   Ph.D. Research Scholar, School of Engineering, RK University, Rajkot, Shah Dr. Vipul ,   Instrumentation & Control Engineering Department, Faculty of Technology, Dharmsinh Desai University Nadiad, Gujarat, India
Published: November 2019

Wireless sensor network is widely used to monitor sparsely generated events through a centralized system. The coverage provided by the network to monitor region of interest vary and rely on the system components of sensor node. While monitoring events from cluster head or sink through sensor nodes located at a distant, it experiences increased communication cost due to prone errors which are proportional to losses due to distance and interferences. Biotelemetry application is reviewed for the derivation of the research problem which is worked upon in the present paper. The animals move around in their habitat performing various activities which are to be monitored. The sensing tags are mounted on the animals to study the behaviour of the animals. These animals roam around in their habitat generating variation in the interferences caused for communication. Due to wide variations, the inefficiency of the sensor node in communication results in draining battery rapidly and thereby life of sensor node. So in order to improve lifetime the optimization at the sensor node is very essential to keep network alive. The technique that performs optimization needs to be lightweight in terms of processing required as well as tuning of parameter which are required for model based optimization methods. In the paper, we proposed a technique which is lightweight and can dynamically optimize operating state. It is done by adaptively configuring communication parameters to patch losses and conserve energy to enhance Sensor node lifetime. The optimization technique proposed, does parameter tuning to minimize the communication cost in sensor node through efficient search method. The results are compared with traditionally employed technique with static setting and Online Greedy Optimization Algorithm. NI LabVIEW is used to do simulation of the model and for estimating the effect of parameter reconfiguration upon application of optimization techniques.
XSS MBot: Mobile Botnet for Stealthy DDoS Attacks
Authors:   Department of CSE, K L University, Guntur, India., Nagarjun PMD , Ahamad Shaik Shakeel ,   Department of Information Technology, CCIS, Majmaah University, Al Majmaah, Kingdom of Saudi Arabia and Department of CSE, K L University, Guntur, India.
Published: November 2019

Mobile devices are overgrowing; nowadays people are using mobile devices for different activities. Over the years malware attacks on mobile devices are increasing, the primary intention of the attacker is to steal sensitive information and turn the infected mobile device into a member of the botnet. We studied differences between traditional botnets and mobile botnets, also analyzed different mobile botnet attacks. Mobile malware applications spread through Cross-site Scripting vulnerabilities in trusted websites. Developed a mobile malware which can perform Denial-of-service attacks and used this malware to test and review mobile botnet attacks. We also studied solutions to prevent these mobile botnet attacks.
Dense ResNet Based Human Action Recognition using Novel Trajectory Maps on 3D Skeletal Data
Authors:   Research Scholar, Department of Computer Science and Systems Engineering, College of Engineering, Andhra University, Visakhapatnam, India., Prasad K. Rajendra , Rao P. Srinivasa ,   Professor, Department of Computer Science and Systems Engineering, College of Engineering, Andhra University, Visakhapatnam, India.
Published: November 2019

The machine learning research community is presently working on human action/activity recognition issue in real-time videos, and facing several hundreds of confronts. In this scenario, deep convolutional neural networks have initiated their powerful role in strengthen the numerous vision-based HAR systems. In recent years there has been impressive performance and great potential for imaging tasks with introducing residual connections along with a traditional CNN model in a single architecture known as the Residual Network (ResNet). In this paper we propose to use skeletal trajectory maps for the detection of human actions. A new ResNet based algorithm named dense ResNet has been proposed to perform the classification task. The trajectories of 3D joint locations are converted into color coded RGB images. These trajectory plotted images are able to capture the spatio-temporal evolutions of 3D motions from skeleton sequences and can be efficiently learned by deep learning algorithms. We then train the proposed dense ResNet to learn the features from these color coded RGB trajectory information of the human body 3D joint locations. The novelty of the proposed method is evaluated on MSR Action 3D, UTKinect-Action3D, G3D and NTU RGB-D datasets. Experimental results shows that the proposed architecture attains good recognition rates with less computation resource.
Speed Adaptive Beacon Broadcast for Information Dissemination in Vehicular Ad hoc Networks
Authors:   Department of Computer Science and Engineering, IKG Punjab Technical University, Kapurthala,, Kad Sandeep , Banga Vijay Kumar ,   Department of Electronics and Communication Engineering, Amritsar College of Engineering and Technology, Amritsar, India.
Published: November 2019

Vehicular Ad hoc Network has been a key component of the Intelligent Transport System. An efficient mechanism for dissemination of information in VANETs is a challenging task. The high mobility of vehicular nodes and varying traffic flows makes selection of best relay vehicle to disseminate information a taxing task. Periodic beaconing for gathering information about the vehicles in the vicinity is though commonly employed in VANETs, but it degrades the performance resulting in channel contention and collisions. This paper presents a Speed Adaptive Beacon Broadcast approach that controls the beaconing rate depending upon the speed at which the vehicle is moving in comparison to the other vehicles in its locality. The selection of the relay vehicle is done keeping in consideration its distance from the source, local density and priority is given to the vehicle at an intersection. The approach is evaluated for both highway and urban scenario and simulation outcome reveals that SABB performs well in comparison to some of the existing approaches.
A Novel Efficient Sphere Decoding with Reed-Solomon Code in MIMO Detection
Authors:   Electronics Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, India, Solanki Mitesh S , Gupta Shilpi ,   Electronics Engineering Department, Sardar Vallabhbhai National institute of Technology, Surat, India, Singh Vinaykumar ,   Electronics Engineering Department, Sardar Vallabhbhai National institute of Technology, Surat, India.
Published: November 2019

An optimal receiver recovering transmitted signals across a noisy communication channel employs an efficient impact as Sphere Decoding (SD) benchmark to reduce the probability of error. This system can employ a coding strategy for information security where the data symbol space forms a scant lattice. The sparsity structure is resolved through channel code. In this article, motivated by this idea, we present novel efficient detection-decoding combinational techniques using Reed-Solomon (RS) decoding followed by the single tree search (STS) algorithm in SD detection. The simulation results determine that the proposed method of improving the performance of 1.6 dB at the bit error rate (BER) of has a significant impact.
Antibacterial Activities Test of Combination of Ethanolic Extract of Betel Leaves (Piper betle L.) and Basil Leaves (Ocimum basilicum L.) Against Staphylococcus aureus
Authors: Suriawati Junie , Patimah Patimah , Rachmawati Siti Rahayu
Published: November 2019

Betel leaf extract and basil leaf extract contain phenol compounds, safonin, flavonoids, tannins, and essential oils that act as antibacterials. Skin is very susceptible to infection or other skin diseases one of which is caused by Staphylococcus aureus bacteria. This research needs to be done to test the antibacterial activity of ethanol extract of green betel leaf, basil leaf and combination of both extracts to S. aureus. The process of extraction of betel leaf and basil leaves was done with 96% ethanol solvent using maceration method. The combinations used in the sample solution were the concentration of ethanol extract of green betel leaf (0%, 15%, 30%, 45%, 60%, 75%) and basil leaf extract (0%, 15%, 30%, 45%, 60 %, 75%). Furthermore, the antibacterial activity was tested for S. aureus with well diffusion method. The data obtained were tested statistically using Anova and Duncan's advanced test. The result of statistical analysis showed difference of drag zone (p <0,05) between various concentration of ethanol extract of green betel leaf, basil leaf and combination of both extracts to S. aureus. The smallest resin zone of ethanol extract of  betel leaf and ethanol extract of basil leaves is at 0% concentration (S0 and K0) and highest at 75% concentration (S5 and K5). While the smallest zone of inhibition for the combination of ethanol extract of betel leaf and ethanol extract of basil leaves at concentration S0K0, S0K1 and S0K2 is 0 mm and highest at S5K5 concentration is 31,3 mm. The higher concentration of betel leaf extract, basil leaf extract and the combination of the two extracts, the inhibition of diameter zone will be better. It can be concluded that the combination of  betel leaf extract and basil leaf extract has the ability to inhibit the growth of S. aureus better than single extract.
The Relationship between Macro Nutrition And Physical Activities With Nutrition Status in Employee Offices of the Directorate Poltekkes Kemenkes Jakarta II
Authors: Dewi Novita , Istianah Isti
Published: November 2019

Nutritional status was an important element in determining someone health status. Nutrition status was good when nutritional intake balanced with the needs of the Body. Physical activity was a way to regulate the amount of energy entering and leaving in the body. The purpose of this study was to analyze the relationship between the macronutrient intake and physical activity with nutritional status at office staff of Directorate Poltekkes Kemenkes of Jakarta II. This research was conducted in April-May 2018 at the Office of Poltekkes Kemenkes Directorate of Jakarta II. The number of samples which was obtained was 49 people and Cross-sectional research design with a Chi-Square test. The data which was used was primary data. It mean the researcher took the data by conducting direct interview with using questionnaire. Most intake of more protein as many as 27 people (55.1%), fat as many as 35 people (71.4%), and carbohydrates as many as 29 people (59.2%). More nutritional status as many as 32 people (65.3%) and normal nutritional status of 17 people (34.7%). While physical activity mostly has physical activity is as much as 34 people (69.45%). There was a significant relationship between protein intake (p: 0.042), fat intake (p: 0.000), carbohydrate intake (p: 0.000) with nutritional status. There was a relationship between the intakes of macronutrients (protein, fat and carbohydrates) with nutritional status
PENGARUH MODEL DISCOVERY LEARNING TERHADAP KEMAMPUAN PENALARAN MATEMATIS SISWA KELAS VII SMP NEGERI 3 KENDARI
Authors: Nurmala Risa , Samparadja Hafiludin , Salam Mohammad
Published: November 2019

Penelitian ini dilatarbelakangi oleh rendahnya kemampuan penalaran matematis siswa. Populasi dalam penelitian ini adalah seluruh siswa kelas VII SMP Negeri 3 Kendari tahun pelajaran 2017/2018 yang berdistribusi dalam 10 kelas. Teknik pengambilan sampel dalam penelitian ini dilakukan secara purposive sampling, kemudian dipilih 2 kelas sebagai sampel. Data hasil penelitian dikumpulkan melalui pemberian instrumen berupa lembar observasi dan tes  kemampuan penalaran matematis. Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan: 1) persentasekeaktifan siswa dengan menggunakan model discovery learning pada 5 kali pertemuan, yaitu 70,59% sampai 88,24%, (2) Rata-rata kemampuan penalaran matematis siswa yang diajar dengan model discovery learning 79,16 (3) Rata-rata kemampuan penalaran matematis siswa yang diajar dengan model pembelajaran konvensional 71,59 dan (4) Berdasarkan uji t, menunjukkan bahwa kemampuan penalaran matematis siswa yang diajar dengan model discovery learning lebih tinggi daripada siswa yang diajar dengan model pembelajaran konvensional.
ANALISIS KEMAMPUAN PENALARAN MATEMATIS SISWA KELAS VIIIC SMP NEGERI 5 KENDARI DITINJAU DARI PERSPEKTIF GENDER
Authors: Alifin Risman , Kodirun Kodirun , Ikman Ikman
Published: November 2019

Penelitian ini bertujuan untuk mendeskripsikan kemampuan penalaran matematis siswa kelas VIIIC SMP Negeri 5 Kendari ditinjau dari perspektif gender. Penelitian ini adalah penelitian deskriptif yang menggunakan data kuantitatif dan kualitatif. Teknik pengambilan subjek dalam penelitian ini menggunakan teknik Purposive Sampling. Subjek dalam penelitian ini adalah 31 siswa kelas VIIIC SMP Negeri 5 Kendari tahun ajaran 2018/2019 dan dilakukan pada bulan September-Oktober 2018. Teknik pengumpulan data dalam penelitian ini dilakukan dengan pemberian instrumen penelitian berbentuk tes uraian dan wawancara. Teknik analisis data berupa analisis hasil tes kemampuan penalaran dan wawancara terkait kemampuan penalaran matematis siswa dengan menggunakan tahap penalaran menurut Polya. Berdasarkan hasil analisis data diperoleh kesimpulan bahwa subjek perempuan memiliki kemampuan penalaran matematis yang lebih tinggi dibandingkan subjek lakilaki. Hal ini ditunjukkan dengan nilai rata-rata kemampuan penalaran matematis subjek perempuan lebih tinggi dibandingkan dengan nilai rata-rata kemampuan penalaran matematis siswa laki-laki.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE NUMBER HEADS TOGETHER TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS VIII SMP NEGERI 2 TONGKUNO
Authors: Mustika Mustika , Suhar Suhar , La Ndia La Ndia
Published: November 2019

Penelitian ini bertujuan untuk mengetahui: (1) gambaran hasil belajar matematika siswa kelas VIII SMP Negeri 2 Tongkuno yang diajar dengan model pembelajaran kooperatif tipe NHT (2) gambaran hasil belajar matematika siswa kelas VIII SMP Negeri 2 Tongkuno yang diajar dengan model pembelajaran Konvensional (3) apakah model pembelajaran tipe NHT berpengaruh terhadap hasil belajar matematika siswa kelas VIII SMP Negeri 2 Tongkuno. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII SMP Negeri 2 Tongkuno yang terdiri dari 2 kelas VIII1 ,VIII2. Desain penelitian ini adalah the posttest only control group design. Hasil yang diperoleh dalam penelitian ini : (1) Hasil belajar matematika siswa yang diajar dengan model pembelajaran kooperatif tipe NHT pada materi pola bilangan dengan nilai rata-rata 75,41 (2) Hasil belajar matematika siswa yang diajar dengan model pembelajaran konvensional pada materi pola bilangan dengan nilai rata-rata 65,56 (3) model pembelajaran kooperatif tipe NHT berpengaruh terhadap hasil belajar matematika.
PENGARUH MODEL PEMBELAJARAN MIND MAPPING TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS VIII SMP NEGERI 3 RAHA
Authors: Rani Aisah Kartika , Arvyaty Arvyaty , Lambertus Lambertus
Published: November 2019

Penelitian ini dilatarbelakangi rendahnya hasil belajar siswa pada mata pelajaran matematika.Penelitian ini bertujuan untuk: (1) mengetahui deskripsi hasil belajar matematika dengan menerapkan model pembelajaran mind mapping di kelas VIII1 SMP Negeri 3 Raha; (2) mengetahui pengaruh model pembelajaran mind mapping terhadap peningkatan hasil belajar matematika siswa pada materi koordinat kartesius di kelas VIII1 SMP Negeri 3 Raha. Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan: (1) Proses pembelajaran matematika dengan menerapkan model pembelajaran mind mapping di kelas VIII1SMP Negeri 3 Raha berjalan sangat baik yang ditunjukan dengan keterlaksanaan pembelajaran dan aktifitas siswa selama pembelajaran berlangsung mengalami peningkatan dari 35% menjadi 78,33%. (2) hasil belajar matematika siswa kelas eksperimen dan kelas control setelah dilakukan penelitian mengalami peningkatan yang signifikan. (3) Berdasarkan hasil uji t, menunjukkan bahwa hasil belajar matematika siswa yang diajar dengan model pembelajaran mind mapping memiliki perbedaan rata-rata hasil belajar dengan siswa yang diajar menggunakan model pembelajaran langsung.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE THINK TALK WRITE TERHADAP KEMAMPUAN KOMUNIKASI MATEMATIS SISWA SMP NEGERI 5 KENDARI
Authors: Hermin Hermin , Kodirun Kodirun , La Arapu La Arapu
Published: November 2019

Penelitian ini dilatarbelakangi oleh rendahnya kemampuan komunikasi matematis siswa. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII SMP Negeri 5Kendari tahun pelajaran 2018/2019 yang terdistribusi dalam 11 kelas. Teknik pengambilan sampel dalam penelitian ini dilakukan secara random sampling,  kemudian dipilih 2 kelas sebagai sampel secara random.Data hasil penelitian dikumpulkan melalui pemberian instrumen berupa lembar observasi dan tes  berbentuk soal uraian.Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan: 1) persentase tingkat keaktifan siswa pada 4 kali pertemuan dengan model pembelajaran Think Talk Write  mengalami peningkatan, yaitu 69,44% sampai 97,22% (2) Rata-rata kemampuan komunikasi matematis siswa yang diajar dengan model pembelajaran Think Talk Writeadalah 73,17(3) Rata-rata  kemampuan komunikasi matematis siswa yang diajar dengan pembelajaran langsung adalah 64,77, dan (4) Tidak terdapat pengaruh yang signifikan penggunaan model pembelajaran model pembelajaran Think Talk Write terhadap kemampuan komunikasi matematis siswa kelas VIII SMPN 5 Kendari.
PENGARUH PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE THINK PAIR SHARE TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS VIII SMP NEGERI 8 KENDARI
Authors: Rahmawati Rahmawati , Suhar Suhar , La Masi La Masi
Published: November 2019

Penelitian ini bertujuan untuk mengetahui: (1) pelaksanaan model pembelajaran kooperatif tipe TPS, (2) hasil belajar matematika siswa yang diajar dengan menggunakan model pembelajaran kooperatif tipe TPS, (3) hasil belajar matematika siswa yang diajar dengan menggunakan model pembelajaran konvensional, (4) pengaruh penerapan model pembelajaran kooperatif tipe TPS terhadap peningkatan hasil belajar matematika siswa. Populasi dalam penelitian ini adalah siswa kelas VIII SMPN 8 Kendari yang tersebar di 7 kelas paralel dengan guru yang berbeda. Teknik pengambilan sampel dalam penelitian dilakukan secara purposive sampling. Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan. (1) tingkat keterlaksanaan proses pembelajaran kooperatif tipe TPS selama 5 kali pertemuan secara keseluruhan tingkat ketercapaian keterlaksanaan pembelajaran oleh guru sudah tergolong baik. (2) rata-rata hasil belajar siswa yang diajar dengan model pembelajaran kooperatif tipe TPS sebesar 54.61. (3) rata-rata  hasil belajar matematika siswa yang diajar dengan model pembelajaran konvensional sebesar 31.80.
MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS VII2 SMP NEGERI 11 KENDARI MELALUI MODEL KOOPERATIF TIPE NUMBERED HEADS TOGETHER
Authors: Aisyah Wa Ode Sitti , Rahim Utu , La Ndia La Ndia
Published: November 2019

Tujuan  penelitian  adalah untuk meningkatkan hasil belajar matematika siswa kelas VII2 SMPN 11 Kendari melalui model pembelajaran kooperatif tipe NHT. Jenis penelitian ini adalah PTK. Pelaksanaan penelitian tindakan kelas terdiriri 2 siklus, setiap siklusnya terdiri: perencanaan, pelaksanaan tindakan, observasi dan evaluasi, dan refleksi. Subjek penelitian adalah siswa kelas VII2. Sumber data penelitian adalah siswa dan guru. Hasil penelitian ini adalah: Keterlaksanaan scenario dilakukan guru mengalami peningkatan siklus I 70% dan siklus II 95%. Aktivitas belajar siswa mengalami peningkatan siklus I 72,22% dan siklus II 94,44%. Persentase ketuntasan hasil belajar siswa meningkat. Siklus I siswa yang mencapai ketuntasan belajar secara individu sebanyak 16 siswa dari 31 siswa dengan persentase 51,61% dan siklus II, siswa yang mencapai ketuntasan belajar secara individu meningkat 27 siswa dari 31 siswa dengan presentase 87,09%. Berdasarkan hasil penelitian disimpulkan hasil belajar matematika siswa kelas VII2 SMP Negeri 11 Kendari dapat ditingkatkan melalui model pembelajaran kooperatif tipe NHT.
PENGARUH PENDEKATAN OPEN-ENDED SETTING MODEL PEMBELAJARAN KOOPERATIF TIPE STAD TERHADAP PENINGKATAN KEMAMPUAN BERPIKIR KRITIS MATEMATIK SISWA
Authors: Alfari Zulham , Anggo Mustamin , Awaludin Awaludin
Published: November 2019

Penelitian ini dilatarbelakangi oleh rendahnya kemampuan berpikir kritis matematik siswa. Desain penelitian adalah one-pretest-postest group design. Populasi dalam penelitian ini adalah seluruh siswa kelas VII SMP Negeri 1 Wakorumba Selatan. Teknik pengambilan sampel dilakukan dengan purposive sampling dan teknik penentuan kelas eksperimen dengan simple random sampling. Dari hasil analisis data dan pembahasan diperoleh kesimpulan: 1) Kemampuan berpikir kritis matematik setelah diajar dengan pendekatan open-ended setting model pembelajaran kooperatif tipe STAD di kelas VII SMP Negeri 1 Wakorumba paling banyak termasuk dalam kategori tinggi, 2) Peningkatan kemampuan berpikir kritis matematik yang diajar dengan pendekatan open-ended setting model pembelajaran kooperatif tipe STAD di kelas VII SMP Negeri 1 Wakorumba Selatan paling banyak termasuk dalam kategori sedang, dan 3) Terdapat pengaruh pendekatan open-ended setting model pembelajaran kooperatif tipe STAD terhadap peningkatan kemampuan berpikir kritis matematik siswa di kelas VII SMP Negeri 1 Wakorumba Selatan.
PENGARUH MODEL PEMBELAJARAN INTEGRATIF TERHADAP KOMUNIKASI MATEMATIS SISWA KELAS IX SMP NEGERI 8 KENDARI
Authors: Hamlin Randita Cahyani , Salam Mohammad , Kodirun Kodirun
Published: November 2019

Penelitian ini bertujuan untuk mengetahui: 1) deskripsi kemampuan komunikasi matematis siswa kelas IX SMP Negeri 8 Kendari yang diajar dengan model pembelajaran integratif, 2) deskripsi kemampuan komunikasi matematis siswa kelas IX SMP Negeri 8 Kendari yang diajar dengan model pembelajran konvensional, dan 3) perbedaan pengaruh model pembelajaran integratif dan model pembelajran konvensional pada kemampuan komunikasi matematis siswa kelas IX SMP Negeri 8 Kendari. Populasi dalam penelitian ini adalah seluruh siswa kelas IX SMP Negeri 8 Kendari. Teknik pengambilan sampel dalam penelitian ini menggun akan teknik Purposive Sampling. Teknik pengumpulan data dilakukan dengan pemberian tes kemampuan komunikasi matematis. Teknik analisis data menggunakan statistik deskriptif dan statistik inferensial. Hasil penelitian ini menunjukkan bahwa: kemampuan komunikasi matematis siswa yang diajar dengan model pembelajaran integratif diperoleh nilai terendah 35, nilai tertinggi 90, mean 66,67., median 65,00, modus 65, standar deviasi 13,814., dan varians 190,833.
PENGARUH MODEL PEMBELAJARAN APTITUDE TREATMENT INTERACTION TERHADAP HASIL BELAJAR SISWA PADA MATERI SPLDV KELAS VIII SMP NEGERI 4 KENDARI
Authors: Mirnawati Mirnawati , Jazuli La Ode Ahmad , La Arapu La Arapu
Published: November 2019

Penelitian ini dilaterbelakangi rendahnya hasil belajar matematika siswa. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII SMP Negeri 4 Kendari  tahun pelajaran  2018/2019 dengan jumlah siswa sebanyak 423 siswa yang terdistribusi pada 11 kelas paralel yaitu dari kelas VIII1 sampai VIII11. Tekhnik pengambilan sampel secara simpel random. Data hasil penelitian dikumpulkan melalui instrumen Lembar observasi dan tes, instrumen tes digunakan untuk mengukur hasil belajar matematika siswa dalam bentuk essay. Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan. 1) Hasil belajar matematis siswa yang daiajar dengan model pembelajaran konvensional diperoleh nilai rata-rata 73,77. 2) hasil belajarmatematis siswa yang diajar dengan menggunakan model pembelajaranATIdiperoleh nilai rata-rata77,09. 3) aktivitas siswa yang diajar dengan Model Pembelajaran ATI tergolong aktif; 4) Terdapat pengaruh yang signifikan penggunaan model pembelajaran ATI.
PENGARUH PENDEKATAN CONTEXTUAL TEACHING AND LEARNING TERHADAP KEMAMPUAN BERPIKIR KREATIF MATEMATIS SISWA KELAS VIII SMP NEGERI 2 KONAWE SELATAN
Authors: Mantung Reski Agung , Hasnawati Hasnawati , Lambertus Lambertus
Published: November 2019

Penelitian ini dilatarbelakangi oleh hasil tes pendahuluan berpikir kreatif matematis bahwa siswa masih memiliki kemampuan berpikir kreatif matematis yang rendah. Jenis penelitian ini adalah eksperimen. Data yang digunakan dalam penelitian ini dikumpulkan dengan menggunakan lembar observasi aktivitas guru dan siswa serta tes kemampuan berpikir kreatif matematis berupa tes uraian sebanyak 4 butir soal dengan indikator berpikir lancar, berpikir luwes, berpikir merinci, dan berpikir asli. Berdasarkan hasil analisis data diperoleh kesimpulan bahwa nilai rata-rata hasil tes berpikir kreatif matematis siswa setelah diajar dengan pendekatan pembelajaran konvensional dan pendekatan Contextual Teaching and Learning berturut-turut untuk indikator berpikir lancar 79 dan 87, berpikir luwes 31 dan 60, berpikir merinci 18 dan 23, berpikir asli 30 dan 53. Ditinjau dari keaktifan siswa dalam pembelajaran, nilai rata-rata dari tes uraian, dan hasil uji statistik terdapat pengaruh pendekatan Contextual Teaching and Learning terhadap kemampuan berpikir kreatif matematis siswa kelas VIII SMP Negeri 2 Konawe Selatan.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE THINK TALK WRITE (TTW) TERHADAP KEMAMPUAN KOMUNIKASI MATEMATIS SISWA KELAS VIII SMP NEGERI 1 SAMPARA
Authors: Kuslinar Kuslinar , Awaludin Awaludin , La Arapu La Arapu
Published: November 2019

Penelitian ini dilatarbelakangi oleh rendahnya kemampuan komunikasi matematis siswa. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII SMP Negeri 1 Sampara tahun pelajaran 2017/2018 yang terdistribusi dalam 5 kelas. Teknik pengambilan sampel dalam penelitian ini dilakukan secara purposiv sampling,  kemudian dipilih 2 kelas sebagai sampel secara random. Data hasil penelitian dikumpulkan melalui pemberian instrumen berupa lembar observasi dan tes  berbentuk soal uraian. Berdasarkan hasil analisis data dan pembahasan diperoleh kesimpulan: 1) persentase tingkat keaktifan siswa pada 5 kali pertemuan dengan model pembelajaran Think Talk Write  mengalami peningkatan, yaitu 83,33% sampai 100% (2) Rata-rata kemampuan komunikasi matematis siswa yang diajar dengan model pembelajaran Think Talk Write  adalah 70,25 (3) Ratarata  kemampuan komunikasi matematis siswa yang diajar dengan pembelajaran langsung adalah 60,80, dan (4) Terdapat pengaruh yang signifikan penggunaan model pembelajaran model pembelajaran Think Talk Write terhadap kemampuan komunikasi matematis siswa kelas VIII SMPN 1 Sampara.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE STUDENT TEAM ACHIEVEMENT DIVISION TERHADAP HASIL BELAJAR MATEMATIKA SISWA KELAS VII SMP NEGERI 28 KONSEL
Authors: Jamalia Jamalia , Bey Anwar , Lambertus Lambertus
Published: November 2019

Penelitian ini bertujuan untuk mengetahui:(1)gambaran hasil belajar matematika siswa kelas VII SMP Negeri 28 Konsel yang diajar dengan model pembelajaran kooperatif tipe STAD(2) gambaran hasil belajar matematika siswa kelas VII SMP Negeri 28 Kensel yang diajar dengan model pembelajaran Konvensional (3) apakah model pembelajaran tipe STAD berpengaruh terhadap hasil belajar matematika siswa kelas VII SMP Negeri 28 Konsel. Populasi dalam penelitian ini adalah seluruh siswa kelas VII SMP Negeri 28 Konsel yang terdiri dari 2 kelas. Desain penelitian ini adalah the posttest only control group design. Hasil  yang diperoleh dalam penelitian ini : (1) Hasil belajar matematika siswa yang diajar dengan model pembelajaran kooperatif tipe STAD pada materi bilangan pecahan dengan nilai rata-rata 60,44 (2) Hasil belajar matematika siswa yang diajar dengan model pembelajaran konvensional pada materi bilangan pecahan dengan nilai rata-rata 48,64 (3) model pembelajaran kooperatif tipe STAD berpengaruh terhadap hasil belajar matematika.
ANALISIS KESALAHAN MATEMATIKA MATERI LINGKARAN DITINJAU DARI TINGKAT KEMAMPUAN MATEMATIKA SISWA KELAS VIII SMP NEGERI 12 KENDARI
Authors: Gerhani Jumi , Bey Anwar , La Ndia La Ndia
Published: November 2019

Penelitian ini bertujuan untuk  mengetahui kesalahan-kesalahan matematika dan persentasenya yang dilakukan siswa kelas VIII SMP Negeri 12 Kendari  materi lingkaran serta faktor-faktor penyebab kesalahan tersebut terjadi ditinjau dari tingkat kemampuan matematika siswa. Pengambilan data dalam penelitian ini menggunakan 3 metode yaitu tes, observasi, dan wawancara. Hasil penelitian ini ialah: (1) Kesalahan fakta dengan persentase kesalahan siswa kemampuan matematika rendah sebesar 41,1%, siswa kemampuan matematika sedang sebesar 49,2%, dan siswa kemampuan matematika tinggi sebesar 42,8%, (2) Kesalahan konsep dengan persentase kesalahan siswa kemampuan matematika rendah sebesar 70,1%, siswa kemampuan matematika sedang sebesar  35%, dan siswa kemampuan matematika tinggi sebesar 21,4%, (3) Kesalahan operasi dengan persentase kesalahan siswa kemampuan matematika rendah sebesar 0%, siswa kemampuan matematika sedang sebesar 8%, dan siswa kemampuan matematika tinggi sebesar 21,4%, (4) Kesalahan prinsip dengan persentase  kesalahan siswa kemampuan matematika rendah sebesar 94,1%, siswa kemampuan matematika sedang sebesar  60,3% dan siswa kemampuan matematika tinggi sebesar 28,5.
PENINGKATAN HASIL BELAJAR MATEMATIKA SISWA KELAS VIIA SMP NEGERI 3 MAWASANGKA PADA MATERI BENTUK ALJABAR MELALUI MODEL PEMBELAJARAN KOOPERATIF TIPE NUMBERED HEAD TOGHETER
Authors: Andriani Nur , Samparadja Hafiludin , Tiya Kadir
Published: November 2019

Nur Andriani, (2018), telah melakukan penelitian dengan judul “Meningkatkan Hasil Belajar Matematika Siswa Kelas VIIA SMP Negeri 3 Mawasangka pada Materi Bentuk Aljabar Melalui Model Pembelajaran Kooperatif Tipe Numbered Heads Together”. Penelitian ini bertujuan untuk meningkatkan hasil belajar matematika siswa kelas VIIA SMP Negeri 3 Mawasangka pada materi bentuk aljabar melalui model pembelajaran kooperatif tipe NHT. Penelitian ini dilaksanakan pada semester ganjil tahun ajaran 2017/2018 di kelas VIIA SMP Negeri 3 Mawasangka dengan jumlah siswa 25 orang. Hasil penelitian menunjukkan bahwa: Hasil belajar Matematika siswa kelas VIIA SMP Negeri 3 Mawasangka dapat ditingkatkan melalui model pembelajaran Kooperatif tipe NHT. Peningkatan dapat dilihat dari banyaknya siswa yang tuntas pada hasil evaluasi dari siklus I sampai siklus III, secara berturut-turut yaitu: 0%, 44%, dan 80 %. Adapun persentase peningkatan skor ratarata hasil belajar siswa dari siklus I ke siklus II yaitu 25,22, sedangkan siklus II ke siklus III yaitu sebesar 12,4%.
KUALITAS TES ULANGAN AKHIR SEMESTER MATA PELAJARAN MATEMATIKA KELAS VII SEMESTER II SMP NEGERI 12 KENDARI
Authors: Istika Nurul , Zamsir Zamsir , Prajono Rahmad
Published: November 2019

Penelitian ini bertujuan untuk mengetahui: Tingkat kesukaran, daya pembeda, pengecoh, validitas, reliabilitas dan kesalahan baku pengukuran. Hasil analisis diperoleh kesimpulan sebagai berikut: Tingkat kesukaran butir soal tes ulangan akhir semester tidak baik karena perbandingan antara soal mudah, sedang, dan sukar adalah 10%:60%:30%. Bila mengacu standar Depdikbud yaitu 30%:50%:20%. Daya pembeda butir soal tes ulangan akhir semester pada umumnya sudah baik kecuali butir soal nomor 3 dan 30. Pengecoh butir soal tes ulangan akhir semester mata pelajaran pada umumnya sudah berfungsi dengan baik kecuali butir soal nomor:3, 5, 13, 14, 22, dan 29. Validitas butir soal tes ulangan akhir semester pada umumnya sudah baik kecuali butir soal  nomor:2, 3, 5, 12, dan 30. Besar reliabilitas tes ulangan akhir semester adalah 0,758 dengan derajat keterandalan kategori tinggi. Besar kesalahan baku pengukuran tes ulangan akhir semester adalah 2.412. Dengan demikian berdasarkan indikator kualitas tes dapat disimpulkan bahwa tes ulangan akhir semester belum berkualitas.
PENGARUH KECEMASAN MATEMATIKATERHADAP HASIL BELAJAR MATEMATIKA DITINJAU DARI GAYA BELAJAR SISWA KELAS VIII SMP NEGERI 4 KENDARI
Authors: Afiatman Nur Hajarus , Samparadja Hafiludin , Anggo Mustamin
Published: November 2019

Penelitian ini bertujuan untuk mengetahui pengaruh kecemasan matematikaterhadap hasil belajar matematika ditinjau dari gaya belajar siswa kelas kelas VIII SMP Negeri 4 Kendari. Populasi dalam penelitian ini melibatkan seluruh siswa kelas VIII SMP Negeri 4 Kendari tahun pelajaran 2018/2019 yang terdistribusi dalam 11 kelas. Penentuan sampel dalam penelitian ini dilakukan dengan menggunakan teknik Propotional Random Sampling.Kemudian, dipilih sampel kelas sebanyak 165 siswa sebagai sampel. Pengumpulan data dilakukan dengan cara pengumpulan angket dan dokumentasi. Teknik analisis data menggunakan statistik deskriptif dan statistik inferensial. Berdasarkan hasil penelitian, diperoleh kesimpulan terdapat pengaruh yang signifikan antara kecemasan matematika terhadap hasil belajar matematika kelas VIII SMP Negeri 4 Kendari.
PENGARUH MODEL PROBLEM BASED LEARNING TERHADAP KEMAMPUAN BERPIKIR KRITIS MATEMATIS PESERTA DIDIK KELAS VIII SMP NEGERI 2 KENDARI
Authors: Steven Dino , La Ndia La Ndia , La Arapu La Arapu
Published: November 2019

Penelitian ini bertujuan untuk mengetahui pengaruh model Problem Based Learning terhadap kemampuan berpikir kritis matematis peserta didik kelas VIII SMP Negeri 2 Kendari. Populasi dalam penelitian ini melibatkan seluruh peserta didik kelas VIII SMP Negeri 2 Kendari tahun pelajaran 2018/2019 yang terdistribusi dalam 9 kelas. Penentuan sampel dalam penelitian ini dilakukan dengan menggunakan teknik Purposive Sampling. Dari cara tersebut, dipilih 2 kelas sebagai sampel, yakni kelas VIII­-D sebagai kelas ekperimen yang diterapkan model Problem Based Learning dan kelas VIII-C sebagai kelas kontrol yang diterapkan model pembelajaran langsung. Desain penelitian menggunakan Posttest Only Control Group Design. Data hasil penelitian dikumpulkan melalui pemberian instrumen berupa tes kemampuan berpikir kritis matematis berbentuk soal uraian dan lembar observasi. Teknik analisis data menggunakan statistik deskriptif dan statistik inferensial. Berdasarkan hasil penelitian, diperoleh kesimpulan terdapat pengaruh yang signifikan model Problem Based Learning terhadap kemampuan berpikir kritis matematis peserta didik di kelas VIII SMP Negeri 2 Kendari.
A USER EXPERIENCE BASED APPROACH FOR
EXPLORING PRODUCT DESIGN
Authors: O.K. Asikhia , C.I. Oviawe , S.E. Aigbomian
Published: November 2019

When users are confronted with the use of a tool, they develop a mental model of how the product should function.
The usability of products can be improved by incorporating features that are beneficial in the context of use to aid the
user in completing the task. This paper reports series of studies that explores the concept of users experience as a
concept for exploring product design. An alarm clock was chosen to explore the concept in the study. Thirty six
participants were recruited in study 1 and they were provided with structured questionnaire to complete. This was
done in order to obtain deep insights into the user’s need. The identified needs from the structured questionnaire
were collated and thereafter converted to engineering characteristics. These were later presented to another set of
twenty five participants recruited to rank their importance in study 2. The ranking were averaged using the
normalized weighting approach. At the end of the second study, a new prototype of the alarm clock was designed
based on the five most important characteristics identified in the study. Finally, the alarm clock develop was
compared with the conventional alarm clock available in the market using twenty participants recruited for study 3.
The result shows the alarm clock developed from the study show significant performance rating compare to the
conventional available in the market by the majority of the participants recruited in the study.
KEYWORDS: User experience, Product design, Users need, Engineering characteristics, Normalised weighting
approach