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All Journal Syntax Idea Infotek : Jurnal Informatika dan Teknologi Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA)
Adam Bachtiar
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Engineering

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Analisis Dampak Kebijakan Penurunan Pajak Penghasilan Terhadap Pertumbuhan Ekonomi Nasional Adam Bachtiar
Syntax Idea 857-864
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/syntax-idea.v5i7.2516

Abstract

Tax has an important role, because it is the main source of state income. In Indonesia, there are various types of taxes, including income tax. The tax intensive, which is in the form of a tax reduction, is expected to increase awareness of paying tax obligations. However, everything has risks including a decrease in income tax on national economic growth. This study aims to analyze the impact of income tax reduction on national economic growth. This research uses descriptive analysis method with qualitative approach. Based on the results of the study, it is found that the impact of income tax reduction on national economic growth highlights the complexity of the interaction between taxes, income distribution, work incentives, and production. Reducing income tax in certain sectors through tax incentives has positive potential for economic growth, but its impact must be considered as a whole to achieve sustainable public welfare. Although administrative incentives improve tax compliance, income tax reduction can promote national economic growth.
Implementasi Naive Bayes dalam Klasifikasi Spam pada Email mengunakan Bahasa pemrograman Python. Adam Bachtiar; Muhammad Raihan Syahputra; Shita Nurul Ayasha; Sri Homsah
Buletin Ilmiah Ilmu Komputer dan Multimedia Vol 1 No 4 (2023): Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA)
Publisher : Shofanah Media Berkah

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

Abstract

Klasifikasi spam pada email adalah proses penting dalam analisis data yang bertujuan untuk mengelompokkan data ke dalam kategori-kategori yang telah ditentukan sebelumnya. Metode Naive Bayes telah terbukti efektif dalam klasifikasi data dengan memanfaatkan teorema Bayes. Berdasarkan hasil survey Badan Pusat Statistik bekerjasam dengan APJII, kegiatan pengiriman dan penerimaan email sudah mengalahkan posisi media sosial dengan mencapai 95.75%. Penggunaan email yang sangat intens dapat menimbulkan dampak positif dan negatif. Dalam penelitian ini dilakukan pengolahan data dari email/gmail dengan teks mining lalu menguji dengan beberapa metode klasifikasi data mining diantaranya yaitu Algoritma Naïve Bayes, SVM, Random Forest dan dipadukan dengan Partical Swarm Optimization dalam memprediksi spam email dengan tujuan agar algoritma terpilih merupakan yang paling akurat. Dari hasil pengujian menggunakan dengan mengukur kinerja dari keempat algoritma tersebut menggunakan Confusion Matrix dan ROC , diketahui bahwa algoritma Naïve Bayes dengan Partical Swarm Optimization (PSO) memiliki nilai accuracy paling tinggi, yaitu 81.40 % dan AUC 0,78.
Analisis Faktor Yang Mempengaruhi Penerimaan Mahasiswa Terhadap QRIS Menggunakan Technology Acceptance Model (TAM) sri, Sri Indriani; Adam Bachtiar; Indriaturrahmi; Akbar Juliansyah
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 2 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i2.26489

Abstract

This study aims to analyze what factors influence student acceptance of QRIS at Mandalika Education University using the Technology Acceptance Model (TAM) as the basis for the research model. The factors analyzed include perceived ease of use, perceived usefulness, attitude toward using, behavioral intention to use, and actual system use. The research method used is quantitative method by distributing questionnaires to Mandalika Education University students. Respondents who were sampled in this study amounted to 120 respondents with criteria that have been determined by the author with technical random sampling Data collection using a 5 Likert scale questionnaire method The data collected were analyzed using Structural Equation Modeling (SEM) with the help of AMOS software. The results showed that perceived ease of use has a significant effect on perceived usefulness, attitude towards using has a significant effect on behavioral intention to use, behavioral intention to use has a significant effect on actual system use
Co-Authors Akbar Juliansyah Indriaturrahmi Muhammad Raihan Syahputra Shita Nurul Ayasha Sri Homsah sri, Sri Indriani