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All Journal Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Sinkron : Jurnal dan Penelitian Teknik Informatika Unes Law Review YUME : Journal of Management Jurnal Pengabdian kepada Masyarakat Nusantara Engineering, Mathematics and Computer Science Journal (EMACS) Algor Indonesian Journal of Innovation Studies COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen Jurnal Pengabdian West Science SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa JURNAL TEKNOLOGI, KESEHATAN DAN ILMU SOSIAL
Andrew Andrew, Andrew
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Physics Public Health Social Sciences

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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.
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.
PENGARUH DIGITAL MARKETING, INOVASI, DAN KUALITAS FORE COFFEE TERHADAP KEPUTUSAN PEMBELIAN DI CABANG MEGA MALL KOTA BATAM Andrew, Andrew; Saputra, Asron
SCIENTIA JOURNAL Vol 7 No 6 (2025): Scientia Journal
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/scientiajournal.v7i6.10218

Abstract

This study aims to determine the influence of Digital Marketing, innovation, and the quality of Fore Coffee on purchasing decisions at the Mega Mall Batam branch, both partially and simultaneously. The sample consisted of 384 respondents selected using purposive sampling. Data were collected through an online questionnaire distributed via Google Forms. Data analysis was conducted using SPSS version 30, involving tests such as data quality testing, classical assumption testing, influence testing, and hypothesis testing. The results indicate that Digital Marketing, innovation, and the quality of Fore Coffee have a positive and significant effect on purchasing decisions, both partially and simultaneously.
Redesigning Medical Devices with Design for Manufacturing and Assembly (DFMA): Redesain Alat Terapi Kesehatan dengan Design for Manufacturing and Assembly (DFMA) Andrew, Andrew; Karningsih, Putu Dana; Dewi, Dyah Santhi; Batan, I Made Londen; Wahjudi, Arif
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1915

Abstract

General Background Product development in medical devices requires careful consideration of manufacturing and assembly to control cost, complexity, and safety. Specific Background An integrated cervical and lumbar traction device prototype exhibited excessive components and fasteners, resulting in low assembly efficiency, high manufacturing cost, and the absence of an emergency button. Knowledge Gap Previous traction device designs had not been systematically evaluated using Design for Manufacturing and Assembly (DFMA) with explicit assessment against Design for Assembly guidelines. Aims This study aims to redesign the integrated cervical and lumbar traction device using DFMA to reduce manufacturing cost and assembly time while incorporating an emergency button. Results The redesign achieved a 77.06% reduction in reorientation operations and a 53.19% decrease in insertion difficulties, leading to a 16.90% increase in assembly efficiency, an 11.07% reduction in total assembly time, and a 9.12% decrease in manufacturing cost. The DFA Index increased from 7.1 to 8.3, indicating improved assembly performance. Novelty The novelty lies in evaluating redesign outcomes through systematic compliance with DFA Guidelines supported by Boothroyd Dewhurst DFMA software. Implications The findings demonstrate that DFMA provides a structured approach for developing medical therapy devices that are easier to assemble, more cost-efficient, and safer for users, offering a practical reference for similar healthcare equipment redesign initiatives. Highlights: Structural simplification and fastener standardization substantially reduced assembly complexity. Quantitative DFA metrics confirmed notable reductions in reorientation and insertion difficulties. Manufacturing and assembly costs per unit decreased while safety functionality was incorporated. Keywords: Assembly Efficiency, DFMA, Manufacturing Cost, Medical Therapy Device Redesign
A Comprehensive Framework for Drainage, Dewatering and Treatment Technologies in Acid Mine Drainage Control Jarwinda, Jarwinda; Andrew, Andrew; Rivaldi, Tio; Al Hijri, M. Khalid; Ernando, Rully; Hakim, Hafidzul; Zein, Alfath; Lestari, Leta; Lestari, Divia; Nainggolan, Ellyas Alga; Anwar, Dedy; Devitriano, Dodi; Syarifuddin, Hutwan; Maryani, Anis Tatik
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Article in Press 2026 (For Upcoming Issue)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v0i0.%p

Abstract

Acid mine drainage (AMD) represents a long-term environmental challenge originating from the oxidation of sulfide minerals and mobilization of dissolved metals into surrounding water systems. This study developed a comprehensive framework for AMD control that integrates drainage prevention strategies, hydraulic engineering, active and passive treatment technologies, monitoring systems, and sustainability principles into a unified approach. The framework synthesizes advances in geochemical mine planning, diversion and dewatering systems, hybrid chemical–biological treatment processes, and emerging technologies, including microbial electrochemical systems, selective metal recovery, and digital twins. A life cycle assessment was applied to evaluate environmental and economic trade-offs, emphasizing the potential for circular economy strategies that convert AMD byproducts into valuable resources. This review highlights the importance of adaptive management supported by real-time monitoring, stakeholder involvement, and robust regulatory structures. By connecting technological innovation with policy and ecological restoration objectives, the proposed framework supports resilient AMD control over the entire mine lifecycle and contributes to sustainable post-closure water management.
Co-Authors Abdurrohman, Abdurrohman Akbar, Junaidi Al Hijri, M. Khalid Aminnatus Shalihah, Aliffa Andrian Andrian Anggelisa, Anggelisa Anis Tatik Maryani ANWAR, DEDY Aprikasari, Manda Arif Wahjudi Arisna, Arisna Augustpaosa Nariman Augustpaosa Nariman Bernita, Bernita Chintya, Chintya Clarinda , Marcellina Aurelia Devin, Devin Dewi, Dyah Santhi Dika Ardiana, Muhammad Dodi Devitriano Elizabeth Hiu , Jesslyn Juana Ernando, Rully Frentyo, Frentyo Gunawan, Daniel Elfresh Hakim, Hafidzul Hariyanto, Susanto Haryono Haryono Hesniati, Hesniati HS, Christnatalis Hutwan Syarifuddin I Made Londen Batan Ipan, Ipan Januponsa Dio Firizqi Jarwinda, Jarwinda Jayanti, Annida Rida Jumiati, Nurul Kamisriati, Kamisriati Kartika, I Kadek Kuantan, Steven Laulita, Nasar Buntu Lestari, Divia Lestari, Leta Megawati, Vita Muhammad Fajar Muliyasari Kusno, Erlina Nainggolan, Ellyas Alga Novia, Eka Putri Handayani, Nadya Putu Dana Karningsih Rahaditya, R. Rivaldi, Tio Runtulalo, Rio Maichel Santoso, Handri Saputra, Asron Sembiring , Rachel Sepfanya Setia, Rifin Setiono, Michael Alvin Sunata , Yuliana Susanto Suri, Puti Andam Timotius, Frenly Tyana, Tyana Winson, Winson Wiryaatmaja , Christopher Louis Zai, Immanuel Zein, Alfath