Rancang Bangun Meeting Managemet System Berbasis Mobile

Dalam sebuah instansi atau organisasi, manajemen informasi sangatlah penting, terutama ketika akan diadakan pertemuan dalam hal ini Rapat atau Meeting. Menjadwalkan sebuah rapat merupakan salah satu komponen tugas bagian Kantor Hubungan Masyarakat (HUMAS) dalam hal memberikan pelayanan administrasi dalam menyelenggarakan publikasi dan informasi baik internal maupun eksternal. Metode pengelolaan rapat yang digunakan sejauh ini masih menggunakan cara konvensional seperti penyampaian langsung atau berupa undangan tertulis kemudian disebar. Penyerahan surat undangan, SMS, atau telepon ini memiliki banyak kelemahan untuk itu masih diperlukan aplikasi yang memudahkan dalam penyebaran informasi tersebut. Dengan menerapkan Push notification dalam model data JSON API memiliki keunggulan yaitu pengguna tidak perlu melakukan request untuk mendapatkan informasi kegiatan yang ada. Informasi baru dari server Admin akan langsung dikirimkan kepada pegawai Universitas, dengan catatan bahwa perangkat Android bergerak harus dalam keadaan menyala dan terkoneksi dengan internet. Hasil yang diperoleh dalam penelitian ini, berupa aplikasi Android yang dapat menampilkan informasi daftar meeting, dan fitur notifikasi reminder bagi user yang akan selalu mengingatkan akan adanya meeting yang akan berlangsung berdasarkan inputan admin pada web app sebelumnya

Desain Pembelajaran Fisika Terpadu untuk SMA Berbasis Keunggulan Lokal Pariwisata

Sekolah yang menerapkan kurikulum berbasis keunggulan lokal harus dapat mengolah bahan ajar dan model pembelajaran yang tepat agar integrasi konten keunggulan lokal dapat tersampaikan dengan baik pada semua mata pelajaran, termasuk Fisika. Penelitian ini bertujuan untuk menghasilkan model pembelajaran fisika terpadu bagi sekolah yang menerapkan keunggulan lokal bertemakan pariwisata. Penelitian dilakukan di sekolah yang menerapkan keunggulan lokal pariwisata bahari. Metode penelitian yang digunakan adalah 4D Thiagarajan dengan tahapan: pendefinisian, perancangan, pengembangan, dan penyebarluasan. Produk dari penelitian ini berupa sintaks model pembelajaran fisika terpadu untuk sekolah dengan keunggulan lokal pariwisata dan peta materi ajar fisika terpadu pariwisata bahari. Produk ini telah divalidasi dan diuji coba terbatas dengan hasil model pembelajaran tersebut layak diimplementasikan pada sekolah yang menerapkan pendidikan berbasis keunggulan lokal

Pengaruh Pembelajaran Kooperatif Tipe Think Pair Share Padamateri Sistem Pencernaan Manusia Terhadap Hasil Belajar Biologi Siswa Kelas VIII SMP Negeri 1 Kepenuhan Hulu Tahun Pembelajaran 2014/2015

The aim of the study was to determine the effect of cooperative learning type of Think Pair Share toward biological student's learning result on the human digestive system at grade VIII of SMP Negeri 1 Kepenuhan hulu for academic years on 2014/2015. The method was quasi experiment with Control Group Pretes-Posttest Design type. The sample was taken by using Purposive sampling. The sample was students as experiment class at grade VIIIA and students as a control class at grade VIII B. The instrument of the study was the test. The data analysis used t-test, and obtained ttest = 3,74 of significant 0,05 that ttable = 2,03 , so it can be concluded that by t-test> t-table means that alternative hypothesis was accepte

The Early Iron Age collective tomb LCG-1 at Dibba al-Bayah, Oman: long-distance exchange and cross-cultural interaction

The Iron Age (c. 1300-600 BC) of South-eastern Arabia is characterised by rapid expansion of settlement. Social structures formed over the previous millennia, however, persisted and were reinforced through the development of collective funerary monuments. A recently discovered tomb of Late Bronze to Early Iron Age date at Dibba al-Bayah in the Sultanate of Oman has yielded a range of artefacts that illuminate the nature and extent of the long-distance contacts of the local community. Seemingly selected not only for their exotic appeal, but also for their apotropaic function, these objects testify to a deep cross-cultural knowledge extending across the wider region during this crucial period in Arabian prehistory

Tourism Companies Assessment via Social Media Using Sentiment Analysis

ازدادت وسائل التواصل الاجتماعي بشكل كبير وواضح لانها وسيلة إعلام للمستخدمين للتعبير عن مشاعرهم من خلال آلاف المنشورات والتعليقات حول شركات السياحة. وبالتالي ، يصعب على السائح قراءة جميع التعليقات لتحديد ما إذا كانت تلك الآراء إيجابية أم سلبية لتقييم نجاح الشركة. في هذه البحث,تم استخدام التنقيب عن النص لتصنيف المشاعر من خلال جمع مراجعات اللهجة العراقية حول شركات السياحة من الفيس بوك لتحليلها باستخدام تحليل المشاعر لتتبع المشاعر الموجوده في المنشورات والتعليقات. ثم تم تصنيفها إلى تعليق إيجابي أو سلبي أو محايد باستخدام Naïve Bayes, Rough Set Theory , K-Nearest Neighbor. من بين 71 شركة سياحة عراقية وجدت أن 28٪ من هذه الشركات لديها تقييم جيد جدا ، و 26٪ من هذه الشركات لديها تقييم جيد ، و 31٪ من هذه الشركات لديها تقييم متوسط ​​، و 4٪ من هذه الشركات لديها تقييم مقبول و 11٪ من هذه الشركات لديها تقييم سيء. ساعدت النتائج التجريبية الشركات على تحسين عملها وبرامجها واستجابة كافية وسريعة لمتطلبات العملاءIn recent years, social media has been increasing widely and obviously as a media for users expressing their emotions and feelings through thousands of posts and comments related to tourism companies. As a consequence, it became difficult for tourists to read all the comments to determine whether these opinions are positive or negative to assess the success of a tourism company. In this paper, a modest model is proposed to assess e-tourism companies using Iraqi dialect reviews collected from Facebook. The reviews are analyzed using text mining techniques for sentiment classification. The generated sentiment words are classified into positive, negative and neutral comments by utilizing Rough Set Theory, Naïve Bayes and K-Nearest Neighbor methods. After experimental results, it was determined that out of 71 tested Iraqi tourism companies, 28% from these companies have very good assessment, 26% from these companies have good assessment, 31% from these companies have medium assessment, 4% from these companies have acceptance assessment and 11% from these companies have bad assessment. These results helped the companies to improve their work and programs responding sufficiently and quickly to customer demands

Multi label restaurant classification using support vector machine

Many internet websites are hosted with a vast amount of information about restaurants which are not identified properly according to some predefined features to fit users’ interests. Thus, restaurant classification was needed to solve this problem. Restaurant classification has become very important for individuals and food business applications to spread their services via the Internet. In this paper, a modest model is proposed to classify restaurants based on their predefined features which are used as factors affecting restaurant's ratings. The usage of multi label classification is utilized for labelling to maintain acceptable requirements for restaurant's services. Two proposed labels are suggested resulted from the output of two classifiers each operate on a specific set of features. Support vector machine is used for classification because of its effectiveness in restaurant's label separation. The final prediction label is yielded after applying the proposed hypothesis rules. The experimental results conducting Zomato dataset show that the proposed multi label model achieved approximately about 88% for prediction accuracy. Using the proposed model for classification had led to get a collection of accepted restaurants according to user favorites