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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika YUME : Journal of Management Algor COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen Jurnal Pengabdian West Science
Andrew Andrew, Andrew
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Industrial & Manufacturing Engineering Public Health Social Sciences

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Compare VGG19, ResNet50, Inception-V3 for Review Food Rating Andrew, Andrew; Santoso, Handri
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i2.11383

Abstract

The food industry is undergoing a phase of very good improvement, where business actors are experiencing very rapid growth. Creative ideas are many and creative on several social media. When an online business is growing rapidly, many managers in the food sector market their products through online media. So it is quite easy for customers to place orders via mobile. Especially during the COVID-19 pandemic, where a ban on gatherings has become a government recommendation for many food business actors to sell online. Since then, almost all food industry players have made their sales online. There are many advantages of doing business online. The food served is in the form of pictures that attract market visitors so that it can create its own charm. Food is just a click away to order, and the order comes. No need to queue and everything has been delivered to the ordered goods. After the ordered goods arrive, the customer reviews the food or drink. Because customer reviews are the result of customer ratings. The result of the review is one of the sentiment analyses, which in this study is in the form of a review of the images available on the display marketplace. The method used is Convolutional Neural Network. The dataset will be extracted features and classifications. The research will do a comparison using VGG19, ResNet50, and Inception-V3. Where the accuracy of VGG19 = 96.86; Resnet50 : 97.29; Inception_v3 : 97.57.
Internet of Things-based Agricultural Land Monitoring Andrew, Andrew; Haryono, Haryono
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11416

Abstract

Agriculture is an industrial sector that produces raw materials such as rice, corn, and agricultural products. In the current era, there should be no problem if there is a food shortage because society, industry, and education do not make a real contribution to supporting the agricultural industry. The state also needs good agricultural land, so that the state can fulfill the needs of its people. Without good agriculture, a country will not be able to meet the needs of its people. Modern society today is not or is rarely concerned with agriculture. Agriculture is carried out only by providing fertilizer, water, and land, paying attention to the quality of the agricultural land. One of the problems of declining agricultural production is crop failure. One of the reasons island for agriculture. Soil is the most important part of the world of agriculture. If the land is not cultivated then the land is difficult to become an ideal place for agriculture. The Internet of Things can be used as a solution to problems by tilling the soil and monitoring soil conditions. In conditions in the dry season, soil moisture needs to be done by water. In the rainy season, the land should not be flooded, let alone submerged and flooded. In order to maintain the balance of moisture and waterlogged soil, the Internet of Things is a solution for monitoring and managing agricultural land. Internet of Things is a device that can communicate with each other from one device to another, such as sensors and actuators. Good land cultivation makes agricultural land fertile. Agricultural land processing is maximized by adding a monitoring system for agricultural land using a micro-controller Arduino Uno, NodeMCU ESP8266, several sensors, and integrated devices. The purpose of this research is to make a prototype that is useful for monitoring agricultural land
CHATBOT APPLICATION DESIGN FOR ORDERING PROCESS IN DIGITAL PRINTING USING NATURAL LANGUAGE PROCESSING (NLP) METHOD USING PYHTON andrew, Andrew; Hariyanto, Susanto; Akbar, Junaidi
ALGOR Vol. 6 No. 1 (2024): Information Trail
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

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

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan aplikasi chatbot yang dapat digunakan untuk proses pemesanan di digital printing dengan memanfaatkan metode Natural Language Processing (NLP) menggunakan Bahasa pemrograman Python. Aplikasi chatbot ini dibangun untuk meningkatkan efisiensi dan kualitas layanan dalam proses pemesanan di digital printing dengan menggantikan interaksi manusia yang biasanya dilakukan melalui pesan teks atau chatting Metode Natural Language Processing (NLP) digunakan untuk memungkinkan chatbot memahami dan merespons permintaan pengguna berdasarkan Bahasa alami manusia. Dengan demikian, pengguna dapat berinteraksi dengan chatbot melalui antarmuka teks dengan cara yang lebih intuitif dan lebih mirip berbicara dengan manusia. Diharapkan bahwa aplikasi chatbot ini dapat memberikan kontribusi positif dalam meningkatkan efisiensi dan pengalaman pengguna dalam proses pemesanan di digital printing, serta dapat menjadi landasan bagi pengembangan aplikasi chatbot serupa di berbagai bidang industri lainnya.
Analisa Perencanaan Penerapan Sistem ERP Terhadap Akuntansi dan Manajemen Rantai Pasok pada Toko Cipta Utama Laulita, Nasar Buntu; Zai, Immanuel; Winson, Winson; Tyana, Tyana; Andrew, Andrew; Frentyo, Frentyo; Devin, Devin
YUME : Journal of Management Vol 5, No 2 (2022)
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yum.v5i2.1767

Abstract

Abstrak Penelitian ini bertujuan melakukan analisa terhadap peran sistem ERP terhadap bagian akuntansi dan rantai pasok sebuah usaha. Toko Cipta Utama selalu menggunakan metode pencatatan manual untuk laporan keuangan atau akuntansi. Pencatatan secara manual akan menimbulkan permasalahan yang berdampak terhadap efektivitas bagi operasional dan perkembangan usaha ke skala lebih besar. Berdasarkan permasalahan yang timbul akibat dari tidak efektifnya bagian akuntansi, usaha akan membutuhkan integrasi melalui sistem ERP. Toko Cipta Utama akan berperan penting dalam penelitian ini dalam memberikan tanggapan dan data dari operasional usaha. Metode penelitian yang diimplementasikan adalah metode kualitatif dan kuantitatif sebagai data pendukung analisis. Secara kualitatif melaksanakan pengumpulan informasi melalui wawancara terhadap pemilik Toko Cipta Utama untuk mendalami mengenai situasi operasional usaha. Metode kuantitatif yakni melakukan survei terhadap 20 responden yang merupakan perwakilan pekerja dari berbagai perusahaan dan data tersebut dapat berperan sebagai referensi atau pendukung bagi analisa terhadap sistem ERP.  Hasil penelitian menunjukkan bahwa, sistem ERP dapat membantu usaha menengah untuk mengintegrasikan data dan prosedur operasional sebuah usaha. Perusahaan perlu melakukan analisa terhadap kebutuhan dan budget untuk melakukan investasi terhadap sistem ERP tersebut. Toko Cipta Utama telah memilih sistem GF Akuntansi untuk melakukan integrasi terhadap keuangan atau bidang akuntansi.Kata Kunci: Sistem ERP; Akuntansi; Rantai Pasok; GF Akuntansi.AbstractThis research aims to analyze the role of ERP systems in the accounting and supply chain of a business. The Main Copyright Store always uses manual recording methods for financial or accounting statements. Manual recording will cause problems that have an impact on effectiveness for operations and business development to a larger scale. Based on problems arising from the ineffectiveness of the accounting department, businesses will need integration through ERP systems. Toko Cipta Utama will play an important role in this research in providing responses and data from business operations. The research methods implemented are qualitative and quantitative methods as data supporting analysis. Qualitatively carry out information collection through interviews with the owner of the Main Copyright Store to explore the operational situation of the business. Quantitative method is to conduct a survey of 20 respondents who are representatives of workers from various companies and the data can act as a reference or support for the analysis of ERP systems. The results showed that ERP systems can help medium-sized businesses to integrate the data and operational procedures of a business. Companies need to analyze the needs and budget to invest in the ERP system. Toko Cipta Utama has chosen the GF Accounting system to integrate financial or accounting fields.Keywords: ERP system; Accounting; Supply Chain; GF-Accounting
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.
Optimalisasi Komunikasi Komunitas Melalui Pengenalan Fitur AI WhatsApp di RW 04 Rancagong Andrew, Andrew; Clarinda , Marcellina Aurelia; Wiryaatmaja , Christopher Louis; Elizabeth Hiu , Jesslyn Juana; Firizqi, Januponsa Dio; Aprikasari, Manda
Jurnal Pengabdian West Science Vol 4 No 08 (2025): Jurnal Pengabdian West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jpws.v4i08.2456

Abstract

Pengabdian masyarakat ini berfokus pada peningkatan efisiensi komunikasi dan partisipasi warga di RW 04 Desa Rancagong, Legok, Tangerang, yang memiliki karakteristik sosial tertutup dan kurangnya partisipasi dalam kegiatan sosial. Tujuan pengabdian adalah membentuk komunitas WhatsApp dan mensosialisasikan fitur Meta AI untuk memfasilitasi penyebaran informasi yang lebih efektif dan mendorong interaksi antarwarga. Metode yang digunakan meliputi sosialisasi tatap muka kepada masyarakat mengenai Meta AI dan pembentukan grup komunitas WhatsApp. Hasil yang diharapkan adalah terbentuknya platform komunikasi yang terintegrasi, peningkatan partisipasi warga dalam kegiatan sosial, serta pemanfaatan teknologi AI untuk mendukung komunikasi yang lebih dinamis dan terarah di lingkungan RW 04.
Fishy Tech: Netting E-Fishery's Billion-Dollar Fraud through Pentagon Theory Analysis Andrew, Andrew; Nariman, Augustpaosa
Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen Vol. 8 No. 1 (2025): Jurnal Riset dan Aplikasi: Akuntansi dan Manajemen
Publisher : Jurusan Akuntansi Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jraam.v8i1.006

Abstract

Purpose: The causal mechanisms behind startup fraud in Indonesia by analyzing the E-Fishery case through the lens of the Fraud Pentagon Theory. Method: Qualitative methodology combining systematic literature review and case study analysis. Results: E-Fishery systematically inflated revenue by up to 4.8 times actual figures through dual record-keeping systems, nominee companies, and coordinated organizational deception. Novelty: The first systematic application of Pentagon Theory to analyze startup fraud in emerging market contexts, revealing how the five elements interact synergistically.  Contribution: Developing enhanced fraud detection and prevention strategies in Indonesia's venture-backed startup ecosystem. Abstrak: Fishy Tech: Netting E-Fishery's Billion-Dollar Fraud Through Pentagon Theory Analysis Tujuan: Menganalisis mekanisme kausal di balik penipuan startup di Indonesia melalui pengkajian kasus E-Fishery menggunakan kerangka Teori Fraud Pentagon. Metode: Metodologi kualitatif yang mengombinasikan tinjauan pustaka sistematis dan analisis studi kasus. Hasil: E-Fishery secara sistematis menggembungkan pendapatan hingga 4,8 kali dari angka sebenarnya melalui sistem pembukuan ganda, perusahaan nominee, dan penipuan organisasional terkoordinasi. Kebaruan: Aplikasi sistematis pertama Teori Pentagon untuk menganalisis penipuan startup dalam konteks pasar berkembang dan mengungkap bagaimana kelima elemen berinteraksi secara sinergis. Kontribusi: Mengembangkan strategi deteksi dan pencegahan penipuan yang lebih baik dalam ekosistem startup Indonesia yang didukung modal ventura.
Co-Authors Akbar, Junaidi Aminnatus Shalihah, Aliffa Aprikasari, Manda Augustpaosa Nariman Augustpaosa Nariman Clarinda , Marcellina Aurelia Devin, Devin Dika Ardiana, Muhammad Elizabeth Hiu , Jesslyn Juana Firizqi, Januponsa Dio Frentyo, Frentyo Hariyanto, Susanto Haryono Haryono Laulita, Nasar Buntu Megawati, Vita Muliyasari Kusno, Erlina Putri Handayani, Nadya Santoso, Handri Tyana, Tyana Winson, Winson Wiryaatmaja , Christopher Louis Zai, Immanuel