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INDONESIA
Jurnal Aplikasi Statistika & Komputasi Statistik
Published by Politeknik Statistika STIS
ISSN : 20864132     EISSN : 26151367     DOI : -
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics
Redaksi menerima karya ilmiah atau artikel penelitian mengenai kajian teori statistika dan komputasi statistik pada bidang ekonomi dan sosial dan kependudukan, serta teknologi informasi. Redaksi berhak menyunting tulisan tanpa mengubah makna subtansi tulisan. Isi jurnal Aplikasi Statistika dan Komputasi Statistik dapat dikutip dengan menyebutkan sumbernya.
Arjuna Subject : -
Articles 7 Documents
 1 
Search results for , issue "Vol 15 No 1 (2023): Journal of Statistical Application and Computational Statistics" : 7 Documents clear
KARAKTERISTIK SPASIOTEMPORAL ANGIN KENCANG DI PULAU SULAWESI BERBASIS MODEL REANALISIS ERA5 Rais, Achmad Fahruddin; Rezky Yunita; Hijrah Kule Musgamy; Rahmat Tauladani; Ahmad Kosasih
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 15 No 1 (2023): Journal of Statistical Application and Computational Statistics
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pola spasiotemporal angin kencang di Pulau Sulawesi dieksplorasi dalam tulisan ini menggunakan data reanalisis ERA5 periode 1979-2020. Metode yang digunakan adalah roteted empirical orthogonal function (REOF) dan fourier harmonik. Hasil yang didapatkan adalah bahwa frekuensi dan magnitudo kecepatan angin terbesar berada di Sulawesi Selatan dan sebagian Sulawesi Tenggara dengan puncak di bulan Agustus dan Januari, pola dominan lainnya adalah di Sulawesi Utara dan Gorontalo dengan pola puncak yang sama yaitu Agustus dan Januari dan di pegunungan tengah Sulawesi dengan puncak pada bulan Januari.
DAMPAK PANDEMI COVID-19 TERHADAP PENDAPATAN SEKTOR PENYEDIAAN AKOMODASI DAN MAKAN MINUM PROVINSI BALI Ahmad, Muhammad Ziyad; Astuti, Erni Tri
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 15 No 1 (2023): Journal of Statistical Application and Computational Statistics
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v15i1.441

Abstract

The Covid-19 pandemic has caused a decline in the economy in Indonesia. This also happened in Bali, especially in the accommodation and food service sector which is one of the largest contributors to the GRDP of Bali Province. Therefore, this study aims to find out how and how big the impact of the Covid-19 pandemic on the sector of providing accommodation and food and drink. This study uses an intervention analysis method with a step function. The results of the study show that the Covid-19 pandemic has a significant direct impact on the GRDP of this sector, which is 15.22 percent. The worst impact occurred in the third quarter of 2021, which was 48.58 percent. The impact of the Covid-19 pandemic on the GRDP of the permanent accommodation and food and beverage sector until the end of 2021. This research is expected to be able to help the government and related sector business actors to take actions that are expected to reduce the impact of the Covid-19 pandemic.
PERANCANGAN PROTOTIPE WEB DISEMINASI SENSUS PERTANIAN 2023 DENGAN RESPONSIVE WEB DESIGN -, Faturrokhman; Farid Ridho
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 15 No 1 (2023): Journal of Statistical Application and Computational Statistics
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v15i1.444

Abstract

After carrying out the complete enumeration in the 2023 Agricultural Census, BPS is obliged to present the data that has been obtained through data dissemination, one of which uses a website. However, the previous census web dissemination, ST2013, only got usability testing results of 66.19% and mobile device users had difficulty viewing information on the web. Therefore, we need a ST2023 web dissemination that has a responsive design on all screen sizes. To overcome this problem, researchers conducted a study to design a responsive 2023 Agricultural Census Dissemination Web Prototype using Responsive Web Design techniques. The prototype was then evaluated using usability testing and got a result of 81.64%. Responsiveness and compatibility tests on various browsers have also been carried out and got the results that the prototype is responsive on all screen sizes and performs well in most browsers on different devices.
PERAMALAN KASUS HARIAN MONKEYPOX DUNIA BERDASARKAN METODE SUPPORT VECTOR REGRESSION (SVR) Subiyanto, Marcel Laverda; Amanda, Yulia; Fachrian, Muhammad Nadhil; Afriani; Rohim, Achmad Yazid Busthomi; Chamidah, Nur
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 15 No 1 (2023): Journal of Statistical Application and Computational Statistics
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v15i1.488

Abstract

Monkeypox saat ini menjadi perhatian masyarakat global. Maka, penting untuk mengetahui perkembangan jumlah kasus monkeypox kedepannya. Pada penelitian ini dilakukan peramalan kasus harian monkeypox menggunakan metode Support Vector Regression (SVR) dengan Fungsi Kernel Radial Basis Function (RBF). Data yang digunakan adalah data sekunder berupa deret waktu harian mulai 29 Mei sampai 20 Oktober 2022. Untuk memperoleh parameter optimal pada model SVR, peneliti menggunakan algoritma grid search untuk memprediksi data testing secara akurat. Nilai RMSE pada data training dan testing sebesar 352,3 dan 809,7.
PENERAPAN MODEL-BASED CLUSTERING PADA PENGELOMPOKAN SAHAM BERDASARKAN RASIO KEUANGAN Hasnida, Irena Sekar Dwi; Kusumawati, Rosita
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 15 No 1 (2023): Journal of Statistical Application and Computational Statistics
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v15i1.510

Abstract

Untuk meminimalkan kerugian dengan tingkat keuntungan tertentu, investor perlu memilih saham potensial agar keuntungan yang diperoleh optimal. Penelitian ini bertujuan untuk mengetahui penerapan Model-Based Clustering (MBC) dalam mengelompokkan perusahaan berdasarkan kinerja keuangan saham. Indikator keuangan yang digunakan yaitu data rasio likuiditas, profitabilitas, dan solvabilitas tahun 2020 untuk perusahaan yang terdaftar pada indeks LQ45. Dari proses clustering, terbentuk 6 cluster dengan nilai BIC -709,3757 dan model optimal terpilih VEV. Berdasarkan nilai rata-rata setiap rasio, cluster 6 merupakan cluster terbaik karena memiliki mayoritas rasio likuiditas dan profabilitas terbaik serta rasio solvabilitas terrendah. Cluster 6 memiliki kemampuan yang tinggi dibandingkan perusahaan cluster lain untuk membiayai kegiatan operasional perusahaan dan memenuhi kewajiban keuangannya jangka pendek.
PENGEMBANGAN LABORATORIUM STATISTIKA BERBASIS ANDROID Hanike, Yusrianti; Nurjannah, Siti
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 15 No 1 (2023): Journal of Statistical Application and Computational Statistics
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v15i1.521

Abstract

The importance of practicum as a forum for theoretical explanations has strong support in the knowledge transfer process, so it needs to be embodied in the learning process in a form that is easily accessible to students. The development of a statistics-based laboratory is one of the solutions to make it easier for students to access statistical software which is difficult and has a large capacity. The aim of developing an Android-based statistics laboratory is to implement statistical science and is supported by practicality and effectiveness tests for students and lecturers. The research method is carried out through five stages, namely assessment, design, development, implementation, and evaluation. The research samples were taken from two study programs (prodi) at two tertiary institutions in Ambon, namely the Statistics study program at Pattimura University and the Sharia Economics study program at the State Islamic Institute (IAIN) Ambon. The results showed that the Android-based Statistics Laboratory had a significant percentage of the feasibility, practicality and effectiveness of statistical practicum with a feasibility rating of 71%, practicality of 79% and 75% indicating the effectiveness of using the application.
GENERATING SYNTHETIC TRAINING DATASETS USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK TO IMPROVE IMAGES SEGMENTATION Uzma, Iffati; Rani Nooraeni; Takdir
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 15 No 1 (2023): Journal of Statistical Application and Computational Statistics
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v15i1.532

Abstract

Limited amount of training datasets in deep learning research could impact the accuracy of the resulting models. This situation can cause overfit, so the model cannot work correctly. A conditional Generative Adversarial Network (CGAN) was introduced to generate synthetic data by considering certain conditions. This study aims to generate additional synthetic training datasets to improve the accuracy of the object segmentation model of images. Firstly, we evaluated CGAN-based dataset generator accuracy against several open datasets. Then, we applied the generator to train two object segmentation models, i.e., FCN and CNN U-Net. Our evaluation shows that CGAN can generate synthetic datasets well. Complex datasets require more training iterations. It also improves the validation loss and validation accuracy of both segmentation models, although other metrics still need further improvement

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