Government efforts to reduce the burden on the community indonesia poor affected by providing aid covid-19 the cash that is a source of the funds from the village or commonly called cash transfer village funds (BLT-DD). The distribution of blt-dd this needs to be done quickly and directed. But in the election of a candidate BLT-DD recipients this are still being undertaken in an unconventional manner so that , the determination of certification BLT-DD recipients to less than optimal. The purpose of this research was a concept to build the system with applies the methods of analitycal hierarchy processes (AHP) - technique for order preference by similarity to ideal solution (TOPSIS) in the determination of the communities in receipt of BLT-DD that can help the village administration Pekandangan in choosing recipients BLT-DD. Criteria used is 3 criteria that is the community who were not currently other social help PKH ( Program Keluarga Harapan ) / the cards pre workings etc, jobs / reserve enough of financial three months fore, and has family members and sick or chronic perennials. eight priority was obtained from the calculation on to the method AHP and used in seeking value matrix normalization terbobot to the method TOPSIS. Testing the accuracy of this research using confusion matrix , and the results of 91 % accuracy. Ranking it produces the research data alternative pekandangan village used by government for consideration decision making in choosing BLT-DD recipients.
Typing errors or typography are errors made when typing a document or text, typing errors can occur due to mechanical failure or slipping of the hand or finger. Generally, typing errors are something that often occurs when someone is typing and is considered normal, but this typing error in some contexts can change the meaning of the word or even the meaning of the sentence itself, This causes the need for correction again after someone has finished typing, but the correction process is mostly still manually so the results of the correction depend on how carefully someone makes corrections and how many documents will be corrected. Therefore we need a system that can make corrections quickly and accurately, the correction process can be done by various methods, one of which is using the text modeling method. In this study, the test data used 10 documents of the Banggai Regent's important speech, Central Sulawesi. The text modeling method can be combined with other supporting methods such as word2vec, where word2vec will be used as a recommendation for corrected words. This study creates a system that can correct word errors in important speech documents of the Banggai Regent, Central Sulawesi by using text modeling and Word2Vec methods, the results obtained from the system that has been made are the system has good performance and gets maximum test results
Seiring dengan perkembangan teknologi, laporan perkembangan anak disusun dengan menggunakan aplikasi komputer. Namun, kesiapan guru PAUD dalam hal literasi komputer terbatas pada penggunaan Ms. Office (Ms. Word, Ms. Excel, dan Ms. Power Point) secara sederhana. Oleh karena itu, penelitian ini dilakukan untuk merancang prototype laporan perkembangan anak menggunakan Ms.Excel untuk menunjang pekerjaan guru PAUD. Penelitian dilakukan dengan metode RD modifikasi model Borg Gall sampai pada tahap validasi ahli uji coba terbatas terhadap pengguna. Sebanyak 24 guru PAUD Aisyiyah terlibat dalam uji coba terbatas. Data dikumpulkan menggunakan kuesioner respon pengguna dan dianalisis secara deskriptif. Hasil penelitian ini adalah prototype produk e-Report PAUD Aisyiyah Versi 1.0 berbasis Ms. Excel memiliki kelayakan segi materi 0,833-1,000 dan 0,5 – 1,000 dari segi teknologi komputer berdasarkan penilaian validasi ahli, sedangkan hasil ujicoba terbatas menunjukkan bahwa produk ini diterima dengan baik, mudah, pratis, dan efisien. Namun, beberapa perbaikan teknis masih terus dilakukan untuk menyempurnakannya
Pada awal tahun 2020 dunia digemparkan dengan tersebarnya wabah secara global yang menyerang pernapasan seperti wabah SARS pada tahun 2003, yaitu COVID-19. Virus penyebab wabah yang bernama SARS-Cov2 ini ternyata memiliki kemiripan ~87.5% dengan SARS-Cov. Kemiripan ini dapat digunakan untuk mengembangkan obat dan vaksin yang sesuai dengan virus yang sekarang. Dalam hal ini, pendekatan secara bioinformatika dapat dilakukan sebagai tahap awal pengembangan vaksin. Salah satu cara pengembangan vaksin adalah vaksin berbasis epitope. Data biologi yang tersedia dan diserahkan kepada publik terkait epitope Sel T dan sekuen protein pada virus dapat diolah dengan beberapa tool bioinformatika yang tersedia secara online. Makalah ini membandingkan perhitungan karakter physicochemical antara epitope SARS-Cov dan sekuen protein SARS-Cov2 pada lokasi yang sama. Karakter yang dibandingkan yaitu berat molekuler, titik isoelectric, indeks alifatik, GRAVY, indeks kestabilan, dan antigenisitas. Pengolahan data dilakukan dengan matriks korelasi. Dari hasil pengolahan tersebut diketahui bahwa karakter physicochemical antara SARS-Cov dan SARS-Cov2 memiliki hubungan yang kuat.
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