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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Jurnal Penelitian Pendidikan IPA (JPPIPA) IJID (International Journal on Informatics for Development) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Husnayain Business Review SENTRI: Jurnal Riset Ilmiah Eduvest - Journal of Universal Studies Cahaya Pengabdian
Kurniawan, Wakhid
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Neuroscience Physics Social Sciences Other

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ANALISIS DAMPAK CACHE PROGRESSIVE WEB APPS TERHADAP KONSUMSI BATERAI ANDROID Kurniawan, Wakhid; Romadloni, Nova Tri; Noor Bintang, Rauhulloh Ayatulloh Khomeini
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6221

Abstract

Penggunaan aplikasi web berkembang pesat, terutama di Android yang menguasai 46,18% pangsa pasar global. Pengguna menginginkan akses cepat, namun sering menghadapi koneksi lambat dan pemuatan ulang aset tanpa cache, yang dapat meningkatkan konsumsi baterai. Salah satu faktor yang diduga berpengaruh adalah penggunaan cache dalam aplikasi. Progressive Web Apps (PWA) menjadi relevan karena memanfaatkan service worker untuk menyimpan cache. PWA menawarkan keunggulan seperti akses tanpa koneksi, pemrosesan latar belakang, dan notifikasi push, memberikan pengalaman serupa aplikasi native. Penelitian ini menganalisis dampak cache PWA terhadap konsumsi baterai Android. Metode yang digunakan bersifat kuantitatif dengan eksperimen empiris. Sebanyak 33 situs PWA dipilih menggunakan Google Lighthouse. Data ukuran cache dikumpulkan, dan laporan bug dihasilkan selama 3 menit untuk mengukur konsumsi daya. Analisis dilakukan menggunakan uji Paired Sample T-Test dengan SPSS, membandingkan konsumsi baterai saat cache kosong dan terisi. Penelitian ini bertujuan memberikan wawasan mengenai pengaruh cache terhadap konsumsi daya, sehingga strategi dapat dikembangkan untuk meningkatkan efisiensi energi dan pengalaman pengguna.
Response of Small Traders in Traditional Markets to the Iman Portal Innovation in Avoiding Usury Irawati, Diwi Acita; Astuti, Puji; Kurniawan, Wakhid; Herawati, Shabrina; Putra, Romi Iriandi; Ariyadi, Muhammad Yusuf
Jurnal Penelitian Pendidikan IPA Vol 10 No SpecialIssue (2024): Science Education, Ecotourism, Health Science
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10iSpecialIssue.8598

Abstract

Research on the Response of Small Traders in Traditional Markets to the Empowerment Innovation Portal Iman was carried out in Karanganyar from August to September 2023. This research aims to determine the response of small traders in traditional markets who were given socialization about Portal Iman, an empowerment innovation to avoid danger. usury. Qualitative and quantitative research was carried out in an integrated manner with surveys using questionnaires, interviews and field observations. All 92 recitation participants from 5 markets, namely Bejen, Jungke, Nglano, Jaten and Palur markets, were used as respondents for the socialization. The research results showed that the socialization participants were dominated by women (72.83%) compared to men (27.17%), with the majority aged 45 - 59 years or pre-elderly (60.87%); aged over 60 years or elderly (21.74%) and only 17.39% were aged 19 – 44 years or adults. The majority of participants' education was high school (SMA/MA/SMK) at 38.04%; Elementary school as much as 29.35% and junior high school as much as 20.65%. There were 5.44% of socialization participants who had not completed elementary school or even attended school and 6.52% who had attained higher education, either a diploma or bachelor's degree. The average length of business is 14.21 years, the longest is 44 years and the shortest is 1 year, with 66.57% own capital and 44.43% with borrowed capital, 36.67% have had contact with loan sharks, 61.11% have no contact and 2.2% did not provide information. Of the 36.6% who had contact with the loan shark, 12.22% were still in contact today, 64.44% were no longer in contact and 33.3% of respondents did not answer.
A Hybrid Approach of Pearson Correlation and PCA in Feature Selection for Opinion Mining Tri Romadloni, Nova; Kurniawan, Wakhid; Ariyadi, Muhammad Yusuf; Efendi, Burhan
IJID (International Journal on Informatics for Development) 2025
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

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Abstract

This study proposes a hybrid feature selection approach that combines Pearson Correlation and Principal Component Analysis (PCA) to improve classification performance in opinion mining tasks. The rapid growth of e-commerce on social media platforms, such as TikTok, has generated a significant volume of user-generated reviews, which are valuable sources of consumer sentiment. However, the high dimensionality of textual data poses challenges in achieving accurate sentiment classification. To address this issue, the proposed method first applies Pearson Correlation to remove irrelevant features with weak correlation to sentiment labels, followed by PCA to reduce dimensionality. The dataset consists of user reviews from the TikTok Seller platform. Experiments using SVM, Naive Bayes, and Random Forest show that the hybrid approach achieves the highest accuracy of 86.2% (SVM and RF), improving over PCA-only by +0.9% and recovering 13.8% accuracy loss for Naive Bayes (from 72.0% to 83.1%). The results demonstrate that integrating correlation- and projection-based methods yields a more compact and effective feature set. This approach is especially suited for opinion mining in noisy, high-dimensional e-commerce data.
Co-Authors Agung Fatwanto, Agung Apriliyanto, Erwin Ardiansyah, Hafizd Chuaynugul , Sompong Dimas Fajar Nugroho Efendi, Burhan Endi Rekarti, Endi Herawati, Shabrina Irawati, Diwi Acita Khoirul Umam Martino Wibowo Muhammad Ardiansyah Muhammad Yusuf Ariyadi Nafi'ah, Rahmawati Nisa Dwi Septiyanti Nova Tri Romadloni Oktavianita, Annisa Dwi Pratomo, Cucut Hariz Puji Astuti Putra, Romi Iriandi Rauhulloh Ayatulloh Khomeini Noor Bintang Setiawan, Johan Tahe, Mr. Fitree