Article Per Year (5 Year)
p-Index From 2021 - 2026
2.203
P-Index
This Author published in this journals
All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Unes Law Review YUME : Journal of Management Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Engineering, Mathematics and Computer Science Journal (EMACS) Algor COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen Jurnal Pengabdian West Science JURNAL TEKNOLOGI, KESEHATAN DAN ILMU SOSIAL
Andrew Andrew, Andrew
Unknown Affiliation
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Physics Public Health Social Sciences

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
Dampak Tarif Donald Trump Terhadap Perekonomian Indonesia Andrew, Andrew; Aminnatus Shalihah, Aliffa; Muliyasari Kusno, Erlina; Dika Ardiana, Muhammad; Putri Handayani, Nadya; Megawati, Vita
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 2 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i2.3181

Abstract

The protectionist tariff policy imposed by President Donald Trump, particularly the 32% tariff targeting developing countries, has placed significant pressure on Indonesia’s economic stability. This study aims to examine the comprehensive impact of the policy and evaluate the effectiveness of the Indonesian government’s responses. A mixed-method approach was employed, with a focus on descriptive and inferential quantitative analysis. Secondary data were collected from official institutions such as Statistics Indonesia (BPS), Bank Indonesia, the World Trade Organization (WTO), and the International Monetary Fund (IMF) for the period of 2015–2024. Key indicators analyzed include GDP, trade balance, exchange rate, inflation, and foreign direct investment (FDI). Data were processed using statistical software such as SPSS and EViews. The findings reveal that Indonesia’s steel exports to the United States experienced a short-term surge following the tariff announcement, but the increase was not sustained. Meanwhile, the domestic industry faced heightened pressure from an influx of low-cost imported steel. Government responses—mainly diplomatic and tactical—proved insufficient to address core structural issues, such as the low added value of exports and overdependence on limited markets. The study concludes that long-term structural reform is essential to strengthen Indonesia’s industrial competitiveness and economic resilience. While this research is limited to secondary data and does not include micro-level firm analysis, it offers valuable insight for policymakers, industry stakeholders, and researchers in developing strategies to manage future global trade disruptions.
PELATIHAN DIGITAL MARKETING BAGI UMKM KULINER DI KOTA PEKANBARU Afifah, Afifah; Madona, Putri; Yuhefizar, Yuhefizar; Mukhlis, Mukhlis; Anggy, Anggy; Andrew, Andrew; Figo, Figo; Haris, Haris
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 2 (2025): Volume 6 No. 2 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i2.43177

Abstract

Pelatihan digital marketing bagi Usaha Mikro, Kecil, dan Menengah (UMKM) kuliner di Kota Pekanbaru bertujuan untuk meningkatkan kemampuan pemasaran digital para pelaku usaha dalam memanfaatkan platform online untuk memperluas pasar dan meningkatkan penjualan. Kegiatan ini melibatkan serangkaian sesi pelatihan yang mencakup pengenalan dasar-dasar digital marketing, strategi penggunaan media sosial, optimalisasi mesin pencari (SEO), dan penggunaan platform e-commerce. Metode pelatihan meliputi ceramah, diskusi interaktif, dan praktik langsung, yang dirancang untuk memberikan pemahaman komprehensif kepada peserta. Hasil dari kegiatan ini menunjukkan peningkatan pengetahuan dan keterampilan peserta dalam merancang strategi pemasaran digital yang efektif serta kemampuan mereka untuk mengaplikasikan teknik-teknik yang dipelajari dalam kegiatan usaha sehari-hari. Dampak dari pelatihan ini diharapkan dapat membantu UMKM kuliner di Pekanbaru untuk lebih kompetitif di pasar digital, meningkatkan visibilitas produk, dan akhirnya meningkatkan pendapatan. Kegiatan ini juga menjadi salah satu upaya nyata dalam mendukung pertumbuhan ekonomi lokal melalui pemberdayaan UMKM.
Implementasi Asas Ne Bis In Idem dalam Putusan Hakim yang Berkekuatan Hukum Tetap pada Perkara Pidana Andrew, Andrew; Rahaditya, R.
UNES Law Review Vol. 6 No. 1 (2023)
Publisher : Universitas Ekasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/unesrev.v6i1.996

Abstract

This study aims to determine the application of the ne bis in idem principle in judge decisions that have permanent legal force in criminal cases. The research method used is a normative juridical approach with qualitative methods. The results of the study stated that the principle of nebis in idem in criminal cases aims to provide protection for the accused so that he does not get a decision for the same case repeatedly. It also aims to maintain respect for the human rights of perpetrators. This principle cannot be applied to decisions 1) Decisions declaring the indictment null and void. 2) Decision declaring the Claims Unacceptable. 3) Decision declaring the Court Not Competent. This principle can be applied if the criminal case has the following elements: 1) it has the same legal basis and reasons as the case that has been decided. 2) the parties involved in the case are the same party. Nevertheless, to implement and guarantee justice for every citizen. The state provides leeway for everyone to conduct a review. This is because judges are human beings who sometimes make mistakes.
Comparative Study of CNN-based Deep Learning Models for Animal, Digit, and Flower Image Classification Suri, Puti Andam; Setiono, Michael Alvin; Andrew, Andrew; Fajar, Muhammad
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 7 No. 3 (2025): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v7i3.14317

Abstract

This study explores how four convolutional neural network (CNN) models MobileNetV2, DenseNet121, EfficientNetB0, and InceptionV3 perform in classifying images from three different datasets: animals, handwritten digits (MNIST), and flowers. The main goal is to understand which model offers the best balance between accuracy and efficiency when applied to datasets with varying complexity. Each model was trained and tested using identical preprocessing steps, and its performance was evaluated based on accuracy, precision, recall, and F1-score through a confusion matrix. Training and testing times were also measured to assess computational efficiency. The results show that DenseNet121 consistently achieved the highest accuracy: 98% on animal images and 88% on flower images, while MobileNetV2 provided a close performance (97% and 82%) but with much faster processing times, between 11 and 55 minutes. EfficientNetB0, on the other hand, performed poorly on the more complex flower dataset, achieving only 5% accuracy. These findings suggest that DenseNet121 is ideal for projects where accuracy is the main concern, whereas MobileNetV2 is more suitable for real-time applications that require quick responses without a major drop in accuracy. Overall, this research highlights the importance of aligning model selection with both dataset characteristics and computational limitations in practical image classification tasks.
PENGACAKAN CITRA DIGITAL DENGAN MENGGUNAKAN LOGISTIC MAP DAN PIECEWISE LINEAR CHAOTIC MAP Andrew, Andrew; Andrian, Andrian; Kuantan, Steven; Setia, Rifin; Christnatalis, Christnatalis
JURNAL TEKNOLOGI KESEHATAN DAN ILMU SOSIAL (TEKESNOS) Vol. 1 No. 1 (2019): JURNAL TEKNOLOGI, KESEHATAN DAN ILMU SOSIAL (TEKESNOS)
Publisher : Universitas Sari Mutiara Indonesia

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

Abstract

Transfer file citra dapat dilakukan melalui jaringan internet yang tidak aman, sehingga citra pada bidang medis, penelitian, bisnis, militer dan bidang lainnya yang mengandung kerahasiaan membutuhkan proteksi. Pengacakan citra dapat dilakukan untuk mengamankan informasi yang terkandung pada citra digital.Metode chaotic map yang dapat digunakan untuk mengacak citra digital adalah Logistic Map dan Piecewise Linear Chaotic Map. Kedua metode chaotic map ini diketahui memiliki siklus yang besar dan memiliki distribusi keseragaman yang acak.Pengacakan citra dengan menggunakan kedua chaotic map ini adalah dengan mengacak nilai intensitas piksel citra menggunakan fungsi gerbang logika xor dan nilai acak yang dihasilkan oleh kedua metode chaotic map.Pengacakan dengan Logistic Map dengan menggunakan nilai parameter = 4 memperoleh hasil pengacakan citra paling baik secara visual dengan nilai MSE = 9496.75862, sedangkan pengacakan dengan Piecewise Linear Chaotic Map dengan menggunakan nilai parameter p = 0.5 memperoleh hasil pengacakan citra paling baik secara visual dengan nilai MSE = 9803.35705.
Co-Authors Abdurrohman, Abdurrohman Akbar, Junaidi Aminnatus Shalihah, Aliffa Andrian Andrian Anggelisa, Anggelisa Anggy, Anggy Aprikasari, Manda Arisna, Arisna Augustpaosa Nariman Augustpaosa Nariman Bernita, Bernita Chintya, Chintya Clarinda , Marcellina Aurelia Devin, Devin Dika Ardiana, Muhammad Elizabeth Hiu , Jesslyn Juana Figo, Figo Frentyo, Frentyo Gunawan, Daniel Elfresh Haris Haris, Haris Hariyanto, Susanto Haryono Haryono Hesniati, Hesniati HS, Christnatalis Ipan, Ipan Januponsa Dio Firizqi Jayanti, Annida Rida Jumiati, Nurul Kamisriati, Kamisriati Kartika, I Kadek Kuantan, Steven Laulita, Nasar Buntu Madona, Putri Megawati, Vita Muhammad Afif Muhammad Fajar Mukhlis Mukhlis Muliyasari Kusno, Erlina Novia, Eka Putri Handayani, Nadya Rahaditya, R. Runtulalo, Rio Maichel Santoso, Handri Sembiring , Rachel Sepfanya Setia, Rifin Setiono, Michael Alvin Sunata , Yuliana Susanto Suri, Puti Andam Timotius, Frenly Tyana, Tyana Winson, Winson Wiryaatmaja , Christopher Louis Yuhefizar Yuhefizar Zai, Immanuel