In this paper, we report the benchmarking results of Hyperledger, a Distributed Ledger, which is the derivation Blockchain Technology. Method to evaluate Hyperledger in a limited infrastructure is developed. Themeasured infrastructure consists of 8 nodes with a load of up to 20000 transactions/second. Hyperledger consistently runs all evaluation, namely, for 20,000 transactions, the run time 74.30s, latency 73.40ms latency, and 257 tps. The benchmarking of Hyperledger shows better than a database system in a high workload scenario. We found that the maximum size data volume in one transaction on the Hyperledger network is around ten (10) times of MySQL. Also, the time spent on processing a single transaction in the blockchain network is 80-200 times faster than MySQL. This initial analysis can provide an overview for practitioners in making decisions about the adoption of blockchain technology in their IT systems.

This research was conducted using the data provided by Kaggle. This data contains features that describe job vacancies. This study used location-based data in the US, which covered 60% of all data. Job vacancies that are posted are categorized as real or fake. This research was conducted by following five stages, namely: defining the problem, collecting data, cleaning data (exploration and pre-processing) and modeling. The evaluation and validation models use Naïve Bayes as a baseline model and Small Group Discussion as end model. For the Naïve Bayes model, an accuracy value of 0.971 and an F1-score of 0.743 is obtained. While the Stochastic Gradient Descent obtained an accuracy value of 0.977 and an F1-score of 0.81. These final results indicate that SGD performs slightly better than Naïve Bayes.Keywords—NLP, Machine Learning, Naïve Bayes, SGD, Fake Jobs

In this paper, we report the measuring outcomes of Hyperledger, a Distributed Ledger, which is the derivation Blockchain Technology. A technique to evaluate Hyperledger in a limited infrastructure is developed. The measured infrastructure consists of 8 nodes with a load of up to 20000 transactions/second. Hyperledger constantly runs all evaluation, namely, for 20,000 transactions, the run time 74.30s, latency 73.40ms latency, and 257 tps. This initial evaluation can provide an overview for practitioners in making choices about the adoption of blockchain technology in their IT systems.

Akreditasi program studi adalah sebuah kegiatan untuk menilai kelayakan sebuah program studi di Perguruan Tinggi.  Dengan menggunakan referensi instrumen IPEPA yang di rilis tahun 2020 oleh BAN PT, program studi bisa mempersiapkan kelengkapan data sesuai dengan instrumen yang telah ditentukan.  Namun dalam prosesnya terdapat kendala, terutama bagi perguruan tinggi yang belum memiliki basis data dalam sebuah sistem.  Penelitian ini berfokus pada proses pengembangan aplikasi menggunakan framework Django dengan bahasa pemrograman Python.  Dengan proses pengembangan yang mengacu pada konsep Model, View dan Template, pengembangan aplikasi bisa dibangun dengan mudah dan efektif untuk menghasilkan produk minimal aplikasi.  Model merepresentasikan struktur data yang akan digunakan.  Menggunakan Model yang ada pada Django maka proses pengembangan aplikasi menjadi lebih cepat dan efektif dibandingkan menggunakan framework lain yang berbasis object oriented programing.