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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) IJID (International Journal on Informatics for Development) Sebelas Maret Business Review Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Smatika Jurnal : STIKI Informatika Jurnal
Wakhid Kurniawan
Universitas Muhammadiyah Karanganyar
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Materials Science & Nanotechnology Physics

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Response of Small Traders in Traditional Markets to the Iman Portal Innovation in Avoiding Usury Diwi Acita Irawati; Puji Astuti; Wakhid Kurniawan; Shabrina Herawati; Romi Iriandi Putra; Muhammad Yusuf Ariyadi
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.
Implementasi Sistem Pembayaran QRIS Berbasis AI-IoT dan Biometric Key Erwin Apriliyanto; Romi Iriandi Putra; Wakhid Kurniawan
Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2026): Edisi Juli 2026
Publisher : FKIP Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36709/amalilmiah.v7i2.648

Abstract

Permasalahan utama yang dihadapi Pondok Pesantren Modern Imam Syuhodo, Kabupaten Sukoharjo, adalah dominannya penggunaan uang tunai dalam transaksi santri yang berisiko kehilangan, kesalahan pencatatan, dan sulit dipantau oleh wali santri. Program pengabdian kepada masyarakat ini bertujuan untuk meningkatkan efisiensi, keamanan, dan transparansi transaksi keuangan di pesantren melalui implementasi sistem pembayaran QRIS tanpa handphone berbasis AI-IoT dan Biometric Key. Kegiatan dilakukan melalui tahapan analisis kebutuhan, perancangan sistem, instalasi perangkat, pelatihan pengguna, implementasi, dan evaluasi. Sistem yang dikembangkan memanfaatkan kartu RFID dan autentikasi biometrik yang terintegrasi dengan modul AI-IoT dan dashboard monitoring. Hasil implementasi menunjukkan peningkatan efisiensi waktu transaksi dari ±2 menit menjadi kurang dari 30 detik, pengelolaan dana yang lebih transparan, serta kemudahan bagi wali santri dalam memantau keuangan anak secara real-time. Program ini berhasil meningkatkan literasi keuangan digital di lingkungan pesantren dan diharapkan menjadi model digitalisasi keuangan pesantren yang dapat direplikasi di lembaga pendidikan berbasis asrama lainnya di Indonesia.
Uncovering Insights in Spotify User Reviews with Optimized Support Vector Machine (SVM) Nova Tri Romadloni; Wakhid Kurniawan
IJID (International Journal on Informatics for Development) Vol. 14 No. 1 (2025): IJID June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2025.4903

Abstract

The rapid growth of user-generated reviews on platforms like Spotify necessitates efficient analytical techniques to extract valuable insights.  This study employs a Support Vector Machine algorithm, optimized using Forward Selection, Backwards Elimination, Optimized Selection, Bagging, and AdaBoost, to effectively classify user reviews. A dataset of approximately 10,000 Spotify reviews was compiled from diverse online sources, ensuring a representative sample. The analysis reveals sentiment patterns across positive, negative, and neutral categories, with positive reviews dominates the landscape. These patterns help highlight Spotify’s strengths while identifying areas for improvement. However, the SVM algorithm faces challenges in classifying minority classes, particularly negative sentiments, due to class imbalance. To address this, advanced optimization techniques are utilized to enhance classification precision and recall. Preprocessing steps, including data cleansing, tokenization, stemming, and stopword removal, refine the dataset, while TF-IDF converts text into numerical features for effective feature selection. The results show that the Optimized Selection method achieves the highest accuracy of 84.5%, outperforming other approaches. This research contributes significantly to developing balanced sentiment analysis models. Future studies may explore deep learning techniques to further improve classification accuracy and mitigate current limitations in data representation.
A Hybrid Approach of Pearson Correlation and PCA in Feature Selection for Opinion Mining Nova Tri Romadloni; Wakhid Kurniawan; Muhammad Yusuf Ariyadi; Burhan Efendi
IJID (International Journal on Informatics for Development) Vol. 14 No. 2 (2025): IJID December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2025.5195

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.
Design of a Web-Based QR Code Attendance System with Real-Time Notifications at Darul Arqom Junior High School Karanganyar Abid Nasiruddin; Wakhid Kurniawan
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 02 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i02.2352

Abstract

The rapid development of information technology has encouraged educational institutions to implement digital transformation in administrative management, including student attendance systems in Islamic boarding schools. SMP Darul Arqom Karanganyar still uses a manual paper-based attendance system that often causes recording errors, delays in attendance recapitulation, difficulties in monitoring student attendance, potential data manipulation, and delays in delivering attendance information to parents. These problems indicate that the attendance management process is inefficient and requires a more integrated digital solution. This study aims to design and develop a web-based attendance system using QR Code technology integrated with real-time notifications to improve the efficiency, accuracy, and transparency of student attendance management. The novelty of this research lies in integrating QR Code-based attendance validation with automatic real-time notifications for parents in a system specifically designed for the Islamic boarding school environment. Unlike previous attendance applications that mainly focus on digital attendance recording, the proposed system emphasizes attendance transparency, fraud prevention, and direct communication between schools and parents. The system was developed using the Agile Development method through iterative sprint-based stages, including planning, design, development, testing, evaluation, and implementation. The system utilizes the CodeIgniter framework, MySQL database, and QR Code technology for attendance validation. The results show that the system accelerates the attendance process, minimizes fraudulent attendance practices, improves attendance data accuracy, and assists administrators in monitoring attendance data efficiently. In addition, the system increases information transparency through direct real-time notifications to parents. Therefore, the system can support administrative digitalization and student discipline management in Islamic boarding schools.
Small business in a small city: The implementation of augmented reality Muhammad Yusuf Ariyadi; Imfrianti Augtiah; Wakhid Kurniawan
Sebelas Maret Business Review Vol 9, No 1 (2024): June 2024
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/smbr.v9i1.81416

Abstract

SMEs (Small and Medium Enterprises) are the most are the most numerous sector in Indonesia; the MSME sector is the sector that absorbs the most workers. The MSME sector will dominate in Indonesia in 2023. The MSME sector's contribution to GDP will reach 60.5%, and total labor absorption will be 96.9% (Coordinating Ministry for the Economy, 2022). The total export contribution of MSMEs increased from 14.37% in 2020 to 15.69% at the end of 2022 (Coordinating Ministry for the Economy, 2022). Technology and digitalization have touched all elements of life. Education is one of the fundamental elements in life. This research examines the implementation of technology that can synergize aspects of education, information, and, at the same time, entertainment with augmented reality (AR) screen printing media in the alternative digital business for MSMEs as an innovative media for young people in Karanganyar Regency. This research uses a qualitative approach with a 2 stage interview method: pre-test and post-test in participant testing. The participants in this research were 51 people who were classified as producers, MSME employees, and t-shirt screen printing consumers aged 15-24 years as classified by the Central Statistics Agency (Badan Pusat Statistik-BPS). To maintain good distribution, participants in this research are expected to be representatives of all sub-districts in the Karanganyar Regency area. Implementing augmented reality (AR) technology in digital business alternatives for SMEs as innovative media for young people in Karanganyar Regency has very good prospects and potential.
Co-Authors Abid Nasiruddin Burhan Efendi Cucut Hariz Pratomo Erwin Apriliyanto Imfrianti Augtiah Irawati, Diwi Acita Muhammad Yusuf Ariyadi Nova Tri Romadloni Puji Astuti Putra, Romi Iriandi Rauhulloh Ayatulloh Khomeini Noor Bintang Shabrina Herawati