60 research outputs found

    HUBUNGAN KEPERCAYAAN DIRI DENGAN PERILAKU MENYIMPANG DI SEKOLAH PADA REMAJA KELAS \ud VIII MTsN ALUH – ALUH, KEC. BERUNTUNG BARU, \ud KAB. BANJAR

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    Saipullah, 1101451214. Hubungan Kepercayaan Diri Dengan Perilaku Menyimpang Di Sekolah Pada Remaja Kelas VIII MTsN Aluh – Aluh, Kec. Beruntung Baru, Kab. Banjar. \ud Pembimbing: (I) Dr. Fatrawati Kumari, M.Hum., (II) Mubarak, S. Th.I.,M.A.\ud Kata kunci: Kepercayaan Diri, Perilaku Menyimpang, Remaja.\ud \ud \ud \ud Penelitian ini didasarkan keprihatinan mengenai tumbuh kembang remaja yang akhir-akhir ini sangat memperhatinkan. Banyak pemberitaan di televisi dan radio yang disebabkan oleh kenakalan remaja diantaranya kebiasaan merokok, tawuran, pemerkosaan, pemakaian narkoba yang dilakukan oleh pelajar SMA maupun SMP. Pengaruh-pengaruh negatif dari lingkungan, banyak mewarnai bentuk-bentuk masalah agresif yang dikenal dengan “kenakalan remaja” dalam masa ini. Selain itu, dalam hal emosi dan kepercayaan diri seorang remaja erat terbiasa dengan pengaruh teman dekat atau biasa disebut gank. Kebanyakan gank adalah anak-anak nakal yang mempunyai kebiasaan menghabiskan waktunya dengan bertingkah laku semaunya, melanggar peraturan-peraturan sekolah.\ud Permasalahan yang diteliti adalah hubungan kepercayaan diri dengan penyimpangan perilaku pada remaja di kelas VIII MTsN Aluh-aluh dan seberapa besar pengaruh kepercayaann diri dengan perilaku menyimpang di sekolah pada remaja MTsN Aluh-Aluh, Kec. Beruntung Baru, Kab. Banjar.\ud \ud Adapun subjek dalam penelitian ini adalah siswa/siswi kelas delapan MTsN Aluh-aluh, sedangkan objek penelitian ini adalah hubungan kepercayaan diri dengan perilaku menyimpang di sekolah pada remaja kelas VIII MTsN Aluah-Aluh, Kec. Beruntung Baru, Kab. Banjar. Teknik pengumpulan data yang digunakan dalam penelitian ini yaitu dengan teknik obsevasi, wawancara, dan skala. Jenis penelitian ini adalah penelitian lapangan dengan menggunakan pendekatan kuantitatif.\ud \ud Berdasarkan hasil penelitian ini maka dapat disimpulkan bahwa ada hubungan yang tidak signifikan antara kepercayaan diri dengan perilaku menyimpang pada remaja, hal ini dapat dinyatakan bahwa tidak adanya pengaruh kepercayaan diri yang rendah terhadap penyimpangan perilaku pada remaja, yang mana di dasari oleh faktor lainnya, namun dalam penelitian ini bisa terlihat tinggi rendahnya kepercayaan diri dan perilaku menyimpang pada remaja siswa/siswi kelas VIII MTsN Aluh-Aluh, Kec. Beruntung Baru, Kab. Banjar

    Hubungan Tingkat Pengetahuan dan Sikap dengan Perilaku Ibu dalam Pengelolaan Sampah Rumah Tangga

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    Masalah sampah yang muncul merupakan masalah nasional yang perlu ditangani secara komprehensif dan terpadu. Masalah sampah berdasarkan jumlah sampah di kota-kota dunia akan terus meningkat sebesar 70% hingga tahun 2025. Indonesia merupakan negara dengan jumlah penduduk terbesar keempat di dunia. Dengan jumlah penduduk sebesar itu, diperkirakan akan dihasilkan 130.000 ton sampah setiap harinya. Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat pengetahuan dan sikap dengan perilaku ibu rumah tangga di Desa Pantan Jerik Kecamatan Kute Panang. Jenis penelitian ini adalah penelitian analitik dengan desain cross sectional. Penelitian ini menggunakan teknik total sampling dengan jumlah sampel sebanyak 86 sampel. Analisis data dalam penelitian menggunakan uji statistik Chi-Square. Hasil analisis diperoleh p-value = 0,004<0,05 dan 0,003<0,05. Hal ini menunjukkan adanya hubungan antara pengetahuan dan sikap dengan perilaku ibu dalam mengelola sampah rumah tangga di Pantan Jerik Kecamatan Kute Panang Kabupaten Aceh Tengah

    Spectral dimensionality reduction based on intergrated bispectrum phase for hyperspectral image analysis

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    In this paper, we propose a method to reduce spectral dimension based on the phase of integrated bispectrum. Because of the excellent and robust information extracted from the bispectrum, the proposed method can achieve high spectral classification accuracy even with low dimensional feature. The classification accuracy of bispectrum with one dimensional feature is 98.8%, whereas those of principle component analysis (PCA) and independent component analysis (ICA) are 41.2% and 63.9%, respectively. The unsupervised segmentation accuracy of bispectrum is also 20% and 40% greater than those of PCA and ICA, respectively

    Nilai-Nilai Pendidikan Karakter Dalam Kitab Adab Al-‘Alim Wa Al-Muta’allim dan Relevansinya Terhadap Pendidikan Karakter di Indonesia

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    The results of this study concluded that the strengthening of the feeling is more effective than the strengthening of the ratio in self-development. It can be done withthat the values ​​of character education contained in Adab al-‘Alim wa al-Muta‘allim written by KH. Hasyim Asyari are taqwa, loving science, zuhd, discipline, al-qawamiyah, patience, wara’, tawad‘u, hard work/sincerity, loving cleanliness, democracy, affection, communication/ frienkedship, righteousness, social care, and gratitude. These 17 values ​​are in accordance with character  education in Indonesia. So that it can be interpreted that the values are proven to form a good disciple (santri) and support effective teaching and learning activities. The primary source of this study is Adab al-‘Alim wa al-Muta‘allim written by KH. Hasyim Asyari. While secondary data are references related to character education in the form of books, magazines, journals and other references relevant to this research. This research is library research. The data obtained were analyzed by descriptive-analysis approach that is by describing the book Adab al-‘Alim wa al-Muta‘allim withsocial history analysis in character education, then analyzed by conducting in-depth study about character education values and their relevance to character education in Indonesia

    OpenCV Based Real-Time Video Processing Using Android Smartphone

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    as the smarphone industry grows rapidly, the smartphone application needs to be faster and consumes lower power because the smartphone is only powered by a battery. In this paper, two Android applications based on video processing method are introduced; one by using OpenCV library, the other one is using Android library with self-implemented algorithm called CamTest. Eight image processing methods are applied to each frame of the video captured from the Android smartphone. The smartphone used in this study is the Samsung Galaxy S, with Android 2.3 Gingerbread Operating System. The efficiencies and power consumptions of the two applications are compared by observing their frame processing rate and power consumption. The experimental results show that out of the eight image processing methods, six methods that executed using OpenCV library are faster than that of CamTest with a total average ratio of 0.41. For the power consumption per frame test, six methods that executed using OpenCV library consume less power than that of CamTest with a total average ratio of 0.39

    ANALYSIS OF REAL-TIME OBJECT DETECTION METHODS FOR ANDROID SMARTPHONE

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    This paper presents the analysis of real-time object detection method for embedded system, especially the Android smartphone. As we all know, object detection algorithm is a complicated algorithm that consumes high performance hardware to execute the algorithm in real time. However due to the development of embedded hardware and object detection algorithm, current embedded device may be able to execute the object detection algorithm in real-time. In this study, we analyze the best object detection algorithm with respect to efficiency, quality and robustness of the object detection. A lot of object detection algorithms have been compared such as Scale Invariant Feature Transform (SIFT), Speeded-Up Feature Transform (SuRF), Center Surrounded Extrema (CenSurE), Good Features To Track (GFTT), Maximally- Stable Extremal Region Extractor (MSER), Oriented Binary Robust Independent Elementary Features (ORB), and Features from Accelerated Segment Test (FAST) on the GalaxyS Android smartphone. The results show that FAST algorithm has the best combination of speed and object detection performance

    Target Detection of Hyperspectral Images Based on Their Fourier Spectral Features

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    Original spectral features contain information pertinent to certain target spectral features. Without an efficient spectral feature extraction method, the target detection performance might be degraded. We present spectral feature extraction techniques based on the Fourier domain for use in target detection. These feature extraction methods are the Fourier magnitude (FM), Fourier phase (FP), and Fourier coefficient selection (FCS)methods. In our target detection experiments, we compared the proposed methods to the principle component analysis (PCA) and independent component analysis (ICA) methods and the original spectral features. The experiment results show that the FCS target detection accuracy is 95.75%, whereas the accuracies of the FM, FP, PCA, ICA methods,and the original spectral features are 86.76%, 36.28%, 84.51%, 74.49%,and 78.92%, respectively. The average feature extraction times of the proposed methods are 223% faster than that found for the PCA and 304% faster than the ICA methods

    Measuring Power Consumption for Image Processing on Android Smartphone

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    The energy consumption of smartphones can be undertaken in multiple levels of hardware and software. Generally, there are two approaches in measuring power consumption of a smartphone application which are the measurement-based and estimation-based methods. The goal of this study is to compare the two power consumption measuring approaches in quantifying the power consumed by image processing applications in Android smartphone. For measurement-based approach, a simple wattmeter is designed whereas for the estimation-based approach, an Android application called the PowerTutor will be utilized. The wattmeter and PowerTutor will measure the power consumption of eight image processing methods running on modified Android library with self implemented algorithm called the CamTest. According to t-test analysis that has been conducted, the p values of all of the image processing methods show that there are no significant differences between the wattmeter and the PowerTutor application (p>0.01). Even though measurement based method is more accurate than estimation-based method in term of measuring power consumption, PowerTutor application proved it provides accurate, real-time power consumption estimation for Android platform smartphones. Application developers still can use PowerTutor as an option to determine the impact of software design on power consumption
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