Analisis Sentimen Masyarakat Indonesia terhadap Pemindahan Ibu Kota Negara Indonesia pada Twitter

The relocation state capital of Indonesia raises various responses, especially from the Indonesian people.  The discussion related to these issues is very interesting to study, how are the positive and negative sentiments of the Indonesian towards the government's decision. This study aims to analyze the sentiments of the Indonesian people regarding the relocation state capital of Indonesia, including the chosen name of Nusantara on Twitter. In this study, a comparison of 3 algorithms is used, namely the Support Vector Machine (SVM), Naïve Bayes, and K-Nearest Neighbor (KNN) algorithms. From this study, the results obtained are 1,141 positive comments, while negative sentiments are 591 comments. This shows that the Indonesian people have a positive opinion towards the new capital city of Indonesia. In the classification and model testing phase, 10-fold cross validation is used. From these tests, the SVM algorithm obtained an accuracy value of 85.71%, the Naïve Bayes algorithm obtained an accuracy value of 76.70%, the KNN algorithm obtained an accuracy value of 52.74%. This study shows that the SVM algorithm can work better than the Naïve Bayes algorithm and KNN. The accuracy value for the KNN algorithm obtains a low value, this is because the KNN algorithm is sensitive to features that are less relevant

ANALYSIS OF PRODUCT STOCK INVENTORY FORECASTING USING WEIGHTED MOVING AVERAGE METHOD

A company is said to be successful if it has fulfilled the demands of consumers in the future. cv. Aadiba company is engaged in sales services as a reseller by selling men's outdoor shoes. Problems with the company Cv. Aadiba, which is unable to meet consumer demand because they often experience a shortage of product stock, so far, planning for purchasing product stock is estimated manually based on previous experience and therefore this study aims to predict product stock inventory in order to minimize product stock purchases errors in the future period. and make the implementation of the forecasting system. The method used in the study is the Weighted Moving Average (WMA) method which can estimate the amount of stock that must be purchased for the future period. The data used for this research is sales data from January 2021 to April 2022, the moving average of the previous 3 months. Forecasting results using the Weighted Moving Average (WMA) method produce future sales of 612.5 and the error value of MAD is 104.448718, MSE 28380.712 and the MAPE value is 0.179160773% or 0.18% The smallest error value is considered the most appropriate used for forecasting, then the MAPE value is considered appropriate in forecasting because it has the smallest error value and the implementation of a forecasting system that can facilitate the Cv. Aadiba in terms of forecasting in the future period

Perancangan Sistem Informasi E-Voting Ketua Himpunan Mahasiswa Menggunakan Framework Zachman

Perhitungan surat suara ketika pemilihan manual akan menyita banyak waktu sehinga kurang efisien dan efektif. Pemilihan manual tersebut juga dilakukan oleh Himpunan Mahasiswa Sistem Informasi Nusa Putra setiap melakukan pemilihan ketua himpunan.  Dengan adanya latar belakang tersebut diperlukan sistem informasi yang dapat menjadi solusi permasalahan. Electronic Voting (E-voting) adalah teknik pemilihan atau pengumpulan suara yang dilakukan secara elektronik. Penelitian ini menggunakan Framework Zachman untuk membuat perancangan sistem informasi e-voting. Berdasarkan hasil penelitian disimpulkan bahwa sistem pemilihan ketua himpunan di Himpunan Mahasiswa Sistem Informasi Universitas Nusa Putra harus sudah menggunakan sistem pemilihan elektronik (e-voting) berbasis web, dan menambahkan fitur blacklist untuk meminimalisir terjadinya kecurangan, juga bertujuan agar sistem pemilihan dapat dilakukan oleh para anggota dimanapun berada tanpa harus dating ke lokasi pemilihan, serta hasil perhitungan dan perekapan data suara dapat dilaksanakan secara cepat dan tepat sehingga hasil dari pemilihan dapat diumumkan dan diresmikan dengan segera. Dengan menerapkan Zachman framewok dalam perancangan sistem informasi dapat membantu Anggota Himpunan Mahasiswa Sistem Informasi Universitas Nusa Putra untuk membuat sistem informasi e-voting yang rinci sesuai dengan yang diharapkan