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All Journal SENTRI: Jurnal Riset Ilmiah Eduvest - Journal of Universal Studies
Wakhid Kurniawan
Universitas Muhammadiyah Karanganyar
Aerospace Engineering Humanities Computer Science & IT Economics, Econometrics & Finance Health Professions Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences

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CLASSIFICATION OF SMS SPAM WITH N-GRAM AND PEARSON CORRELATION BASED USING MACHINE LEARNING TECHNIQUES Nova Tri Romadloni; Nisa Dwi Septiyanti; Cucut Hariz Pratomo; Wakhid Kurniawan; Rauhulloh Ayatulloh Khomeini Noor Bintang
SENTRI: Jurnal Riset Ilmiah Vol. 3 No. 2 (2024): SENTRI : Jurnal Riset Ilmiah, February 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v3i2.2252

Abstract

The Short Message Service (SMS) has garnered widespread popularity due to its simplicity, reliability, and ubiquitous accessibility.This study aims to enhance the efficacy of SMS classification by refining the classification process itself. Specifically, it strives to streamline the process by diminishing feature dimensions and eliminating inconsequential attributes. The textual data undergoes preprocessing, which involves employing the N-Gram technique for feature representation, followed by meticulous feature selection utilizing Pearson Correlation. The study employs 5 of classification algorithms. Notably, the findings underscore that the optimal outcomes emerge from the fusion of the N-Gram methodology with feature selection through Pearson Correlation. Among these, the Support Vector Machine methodology stands out, exhibiting a remarkable 91.41% enhancement in accuracy without feature selection, a further improvement to 91.96% through N-Gram utilization, and a final performance of 70.80% following the inclusion of weighted correlation. However, it is imperative to acknowledge the limitations inherent in the model's generalizability, primarily stemming from the utilization of a relatively modest dataset. Despite the efficacy of Pearson correlation and N-gram-based feature selection in curbing data dimensionality and enhancing processing efficiency, certain pertinent features may have been overlooked, or the chosen attributes might not be optimally suited for specific classifications.
Empowerment Model For Small Traders In Traditional Markets Through The Multi-Benefit Endorsement Program (Portal Iman) Diwi Acita Irawati; Puji Astuti; Wakhid Kurniawan; Shabrina Herawati; Romi Iriandi Putra; Muhammad Yusuf Ariyadi
Eduvest - Journal of Universal Studies Vol. 3 No. 11 (2023): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v3i11.952

Abstract

The aim of this research was to find an effective empowerment model to alleviate traders from usury practices. A qualitative approach was employed through interviews, direct observations, social media observations, and literature studies. Traditional market locations were selected based on having more than 150 traders, and five markets were chosen: Bejen, Jungke, Nglano, Jaten, and Palur. The research results showed that usury practices burdened the traders significantly, but they had limited options for quick access to capital without complicated requirements. The presence of the Infaq Bank in eradicating usury practices has been beneficial to many business actors in Indonesia. In the Karanganyar region, the Infaq Bank named Bank Infaq Islamic Karanganyar has been operational for over 2 years. Seven study groups were formed for the empowerment of traders, with a total of 178 beneficiaries absorbing funds amounting to Rp. 278,000,000. The empowerment model for small traders in traditional markets through collaboration with the innovative Portal Iman received positive responses in five traditional markets, as evidenced by the willingness of worshippers, who are traders, to become permanent members of the Portal Iman study groups. This empowerment model involves four key roles: benefactors, motivators, managers, and beneficiaries of the Portal Iman. In conclusion, this empowerment model is acceptable for application among members of the Islamic Infaq Bank Karanganyar and the traditional market trader community in Karanganyar.
Co-Authors Cucut Hariz Pratomo Diwi Acita Irawati Muhammad Yusuf Ariyadi Nisa Dwi Septiyanti Nova Tri Romadloni Puji Astuti Rauhulloh Ayatulloh Khomeini Noor Bintang Romi Iriandi Putra Shabrina Herawati