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Journal : Kilat

Perbandingan Hasil Belajar Siswa Sd Di Perkotaan Dan Di Pedesaan Melalui Media Pembelajaran Berbasis Multimedia Flash Flip Book Pendidikan Kewarnegaraan Meilia Nur Indah Susanti; Yessy Asri
KILAT Vol 6 No 1 (2017): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1161.562 KB) | DOI: 10.33322/kilat.v6i1.671

Abstract

Understanding of the nation's character and national insight is one of the absolute musts of Indonesian society to create unity and unity of the nation. However, after the New Order era when entering the beginning of the reform era, there began to degradation of community understanding related to national character and national insight. Although Indonesia in the era of reform has become the third largest democracy in the world, but without understanding the character and national identity and national insight is not enough to be a strong country. The era of globalization as one thing that is absolute and inevitable is one of the challenges for the life of nation and state in almost all countries, including Indonesia. So many emerging threats that are no longer in the form of conventional wars, but other threats that attack the concepts of thought and lifestyle of the community so that the love of the homeland faded. The young generation of this nation which is the root of a nation must know and respect the historical values ​​that have been laid down the founders of the nation. History continues to be written, in all civilizations and at all times, History in writing or documentation is an important tool in studying the progress and decline of a nation contained in events in the past. The purpose of this study is to determine the comparison of learning outcomes of elementary school students in urban as well as in rural areas through multimedia-based learning method flash flip book education civic education with quasi experimental studies pretest posttest design in improving character education nation and nationality insight amid ethnic, religious, and culture. SD Bani Saleh 5 Bekasi is an Islamic elementary school located in the center of Bekasi City which has facilities and infrastructure that support the learning process. SDN SetiaDarma Bekasi is SD Negri located in Bekasi Regency that is Tambun Selatan Bekasi whose learning activity is not supported by supporting facilities and infrastructures in learning process.
Augmented Reality Teknik Informatika Stt-Pln Berbasis Android Yessy Asri; Lukman Hakim
KILAT Vol 5 No 1 (2016): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1048.838 KB) | DOI: 10.33322/kilat.v5i1.683

Abstract

This app uses Augmented Reality technology, 3D animations and use android smartphone devices. 3D information can be obtained through the android camera directed at the magazine marker. In this apliaksi there are features that help the user to obtain information related to informatics engineering majors such as class layout, organizational structure, video etc.
Modul Pembelajaran Plta Berbasis Augmented Reality Yessy Asri; Alvin Kurnia Niwes
KILAT Vol 5 No 2 (2016): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4201.409 KB) | DOI: 10.33322/kilat.v5i2.694

Abstract

Hydroelectric Power Plant (HEPP) is one plant that uses water flow to be converted into electrical energy. This power plant works by changing the energy of water flowing (from dam or waterfall) into mechanical energy (with the help of water turbines) and of the mechanical energy into electrical energy (with the help of a generator). The electrical energy then flowed through networks that have been made, until finally the electrical energy to the consumer. Hydropower has five main components, namely dams, turbines, generators, penstock, and track transmisi..Augmented Reality is a technology that combines virtual objects are two-dimensional or three-dimensional environment into a real three. This study uses a multimedia development stage is done by six stages, namely the concept, design, collecting, assembly, testing, and distribution. Application of Augmented Reality as a learning medium hydroelectric plants which can visualize the turbine and generator in 3D. Manufacture and design of 3D objects is done by using software blender. Then this object is inserted into the Unity 3D that can be viewed when the marker is detected.
Analisa Perbandingan Keputusan Metode Klasifikasi Decision Tree Dan Naïve Bayes Dalam Penentuan Diagnosa Hipertensi Yessy Asri
KILAT Vol 4 No 1 (2015): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (924.422 KB) | DOI: 10.33322/kilat.v4i1.701

Abstract

Dunia bisnis yang penuh persaingan membuat para pelakunya harus selalu memikirkan strategi-strategi terobosan yang dapat menjamin kelangsungan bisnis mereka.Salah satu aset utama yang dimiliki oleh perusahaan masa kini adalah data bisnis dalam jumlah yang luar biasa banyak. Ini melahirkan kebutuhan akan adanya teknologi yang dapat memanfaatkannya untuk membangkitkan “pengetahuan-pengetahuan” baru, yang dapat membantu dalam pengaturan strategi bisnis. Teknologi data mining hadir sebagai solusi. Makalah ini akan mengulas permasalahan bisnis yang ada dalam mendeteksi potensi hipertensi dari data-data histroris atau data set yang ada selama ini. Metode yang digunakan dalam penulisan ini adalah Decision Tree dan Naive-Bayes yang sama-sama merupakan bagian dari metode Data Mining Klasifikasi (Supervised Learning).Metode Decision Tree dan Metode Naive mengubah data training yang dinyatakan dalam bentuk tabel dengan atribut dan record menjadi menjadi pohon keputusan (decision tree) dan aturan-aturan keputusan (rule).Metode Naïve Bayes data dinyatakan dalam tabel dengan atribut dan record terutama untuk data-data-data yang tidak konsisten maupun bias untuk mendapatkan hipotesis dari suatu keputusan. Dari data training yang diolah terdapat perbedaan keputusan yang dihasilkan antar kedua metode tersebut, hal ini terlihat pada proses pembentukan pohon / tree pada tree yang dikembangkan untuk atribut usia dengan instance tua terdapat 1 data training yang menyatakan ya dan 1 data menyatakan tidak, maka untuk menentukan pilihan memerlukan campur tangan seorang pakar, sehingga dapat disimpulkan bahwa pada proses pembentukan tree jika terdapat kondisi leaf node memiliki nilai entropy yang sama, maka membutuhkan inputan pengetahuan dari sang pakar. Hasil keputusan dari metode Naïve Bayes lebih akurat dari pada hasil keputusan metode Decision Tree.