PENGEMBANGAN KETERAMPILAN MEMBACA SISWA MADRASAH IBTIDAIYAH KELAS RENDAH MENGGUNAKAN PICTURE WORD INDUCTIVE MODEL

Keterampilan membaca termasuk dari empat komponen keterampilan dalam mata pelajaran Bahasa Indonesia yaitu keterampilan menulis, membaca, berbicara, dan menyimak. Penelitian ini berfokus pada keterampilan membaca jenis keterampilan membaca permulaan pada kelas rendah. Karena dilapangan masih ditemukan sebagian kecil peserta didik yang belum terampil dalam membaca, oleh karena itu strategi Picture Word Inductive Model adalah salah satu langkah terapi yang cukup sederhana namun efektif diterapkan kepada peserta didik tersebut, baik itu bagi peserta didik yang memiliki kemampuan membaca rendah sampai kepada kemampuan sedang dan tinggi. Penelitian ini menggunakan penelitian kualitatif bersifat induktif. Subjek dalam penelitian ini adalah wali kelas 2b MIS Al Islamiyah Bangkar yang berinisial MIY dan 32 siswa kelas 2b. Berdasarkan hasil penelitian bahwa pengembangan keterampilan membaca menggunakan Picture Word Inductive Model dapat mengembangkan kualitas pembelajaran keterampilan membaca permulaan bagi kelas 2 MIS Al Islamiyah Bangkar, dengan tahapan-tahapan sebagai berikut 1) pengenalan gambar guru menggunakan konsep gambar pop up. 2) Peserta didik mengidentifikasi gambar. 3) Review kata bergambar secara audio dan visual. 4) Menyusun kata dan kalimat, bersama mengembangkan kata menjadi sebuah kalimat sederhana. Jadi hasilnya peserta didik yang memiliki keterampilan membaca rendah mulai berangsur-angsur membaik dengan tindak lanjut secara continue atau berkelanjutan disetiap pembelajarannya. Sedangkan peserta didik yang sudah memiliki keterampilan membaca sedang dan tinggi dapat mengembangkannya lebih baik lagi

Expert Queuing System using Statistical Analysis and Fuzzy Logic Technique

This research suggests an expert or smart queue system to control the auditors in government and private companies characterized by the number of critics, where the proposed system determine the proper queue of client by calculating the average length of time for the work of each employee (service) and determine the type of operation approved, with the number of employees and auditors registered, and enter these data for computations based  on fuzzy logic. These processes determine the length of time needed to finish a number of processes. The number of clients expected their service are determined based on the number and type of operation which can create a timetable for operations within the working time (primary queue ) .  As case study the Department of Civil Affairs is ben taken. Keywords: expert systems, fuzzy logic, queuing system, .smart queuing systems, queuing management

DIMENSIONAL SYNTHESIS AND KINEMATIC ANALYSIS OF PURE ROTATIONAL 3 RSR PARALLEL MECHANISM

ABSTRACT This research describes about spherical parallel mechanisn on three degrees of freedom pure rotational parallel mechanism (3-RSR). There are several kinematic constants are needed to be specified. Determination of kinematic constants are affected by several considerations. In this research workingspace, singularity and limitation of joint connecting will be applied to obtain the optimal set of kinematic constant. Then forward kinematic was also discussed relationships between input joint displacement and platform orientation. Based on calculation results, it was obtained the optimal configuration of kinematic contants specified as angle of joint revolute with respect to base , angle of joint revolute with respect to platform , Length of first link , radius of platform and radius of base and then the formulation of forward kinematic was successfully derivied. Keyword: workingspace, singularity, spherical parallel mechanis

Holy Quran Arabic Character Recognition using Neural Networks

Arabic text recognition is one of the most important fields of optical character recognition for Arabic people. Arabic text recognition consider of converting an image of Arabic text into editable format such as doc or pdf. One of its branches is holy Quran text recognition. The key aim of this research is to develop Quran Arabic Recognition System. The study recognises the Arabic text (character) individually . In addition, this study will use  Back propagation neural networks for character recognitions. Because of the nature of holy quran the rate of recognition must by extremely high. Keywords: text recognition, Arabic text recognition, quran text recognition neural networks, DOI: 10.7176/IKM/13-3-05 Publication date:May 31st 202

Generalized Littlewood–Richardson rule and sum of coadjoint orbits of compact Lie groups

AbstractLet G be a compact connected semisimple Lie group. We extend to all irreducible finite-dimensional representations of G a result of Heckman which provides a relation between the generalized Littlewood–Richardson rule and the sum of G-coadjoint orbits. As an application of our result, we describe the eigenvalues of a sum of two real skew-symmetric matrices

The Impact of Commitment to Implementing the Governance on Disclosure of Social Responsibility of the Companies Listed on Palestine Exchange

The study aimed to demonstrate the impact of commitment to implementing corporate governance represented by the principles :(Ensuring the basis of an effective corporate governance framework, the protection of shareholders and investors, the equitable treatment of shareholders, the role of stakeholders in corporate governance, disclosure and transparency, the responsibilities of the board) on disclosure of social responsibility of the companies listed on the Palestine Exchange. To achieve the study objectives, the researcher designed a questionnaire, and it was distributed to the study population of (49) companies, and the elements of social responsibility were measured by using content analysis through creating an index to measure the level of disclosure of social responsibility in the annual reports to the year 2019 of companies listed on Palestine Exchange. The results showed that the highest percentage of total disclosure of the elements of social responsibility was in the bank sector, and the lowest was in the industrial and investment sectors, and there was a positive impact of some principles of governance represented (Ensuring the basis of an effective corporate governance framework, the role of stakeholders in corporate governance, disclosure and transparency, the responsibilities of the board) on disclosure of social responsibility of the companies. The researcher has offered many recommendations, the most important ones are: enhancing the interest of corporate administrations, especially the industry and investment sectors, with social responsibility and its disclosure, and the necessity of activating the laws governing which oblige companies to apply the principles of corporate governance according to high measurements, and directing companies to disclose social responsibility through the formulation of legal frameworks for social responsibility