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All Journal Insignia: Journal of International Relations Masyarakat, Kebudayaan dan Politik JOURNAL OF APPLIED INFORMATICS AND COMPUTING Kemudi Politea INTECOMS: Journal of Information Technology and Computer Science Jurnal Pariwisata Terapan JOISIE (Journal Of Information Systems And Informatics Engineering) WIMAYA: Interdisciplinary Journal of International Affairs Advance Sustainable Science, Engineering and Technology (ASSET) Politicos: Jurnal Politik Dan Pemerintahan Jurnal Algoritma Interdependence Journal of International Studies Jurnal Informatika dan Multimedia Jurnal Ilmu Hubungan Internasional LINO: Asia Tenggara Dan Dinamika Hubungan Internasional Multidimensional SmartComp Journal of Governance and Public Administration KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Fachrie, Muhammad
Universitas Tidar
Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Other

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Design of a Mobile-Based Wedding Information and Booking System using Backend as a Services (BaaS) on android platform Mahirssa, Rafif; Fachrie, Muhammad
Advance Sustainable Science, Engineering and Technology Vol 6, No 2 (2024): February - April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i2.18284

Abstract

Nowadays, wedding organizer services have become a necessity in wedding events. However, it is often found that bookings are made manually to the vendor's location which results in impracticality. This research aims to build an application that brings practicality in the field of wedding organizers. Later this application has an online booking function carried out by wedding bookers and can establish communication with vendors in making wedding bookings. The focus of the research is to provide practicality to bookers and vendors. This research uses the Case Study method, interviews and observations conducted at Omah Kebon Resto as a case study. The application was built based on Android with Cloud Baas services on the Firebase platform for database management. The final evaluation was carried out by distributing questionnaires to respondents for the level of satisfaction of using the application built. The results stated that 37.12% of respondents were very positive, 45.41% stated positive, 13.54% stated neutral, and 3.93% stated negative. So, it can be concluded that respondents feel positive if this application can help practicality in getting information and booking wedding organizer vendors.
Aplikasi Pembelajaran Pengenalan Hewan Berbasis Augmented Reality Menggunakan Marker Based Mukhtar, Syafieq Adiibul; Fachrie, Muhammad
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 1 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i1.6093

Abstract

Perkembangan teknologi terutama dalam teknologi bidang pendidikan khususnya dalam metode pembelajaran yang konvensional guru atau orang tua mengajarkan materi pengenalan hewan dengan melalui buku cetak 2D dan membaca satu persatu objek serta sambil memperhatikan gambar 2D yang tertera di buku itu cenderung monoton dan kurang menarik sehingga membuat kebanyakan anak menjadi cepat bosan. Sehingga perlu ada dukungan teknologi yang lebih sehingga bisa diterapkan pada materi ini, salah satunya adalah Augmented Reality yang dapat menampilkan objek 3D dan animasi hewan beserta informasinya. AR Fauna menyediakan fitur – fitur yang akan membuat anak menjadi lebih semangat dalam belajar dan membuat anak menganggap yang tadi nya sulit menjadi mudah. Dengan adanya objek 3D dari hewan beserta informasinya membuat anak jadi mudah memahami isi dari materi pembelajaran tentang pengenalan hewan ini. Aplikasi ini dirancang dengan software Unity dan menggunakan Vuforia sebagai databasenya.
Understanding Tourist Satisfaction in Borobudur: The Role of Destination Image, Service Quality, and Sustainability Hidayah, Atika Nur; Fachrie, Muhammad; Kristianto, Yohanes Ivan Adi; Pratiwi, Ade Shinta
Jurnal Pariwisata Terapan Vol 9, No 1 (2025)
Publisher : Sekolah Vokasi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jpt.100120

Abstract

This study aims to examine the effects of destination image, service quality, and sustainable practices on tourist satisfaction in Borobudur’s tourism villages. Using a quantitative approach, data were collected from 100 domestic tourists through structured questionnaires. The results of multiple linear regression analysis show that destination image and service quality have a significant and positive influence on tourist satisfaction, with service quality having the strongest effect. In contrast, sustainable practices were found to have no significant effect, suggesting a possible disconnect between sustainability efforts and tourist awareness or expectations. These findings highlight the importance of strengthening service standards and enhancing the perceived image of tourism villages while making sustainability efforts more visible and experiential. The study contributes to both theoretical understanding and practical strategies for community-based tourism development.
Evaluasi Algoritma Deep Learning dan Segmentasi Klasik untuk Estimasi Luas serta Nilai Konstanta Daun Pepaya pada Sistem Smart Garden Pratama Putra, Muhammad Ali; Fachrie, Muhammad
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2996

Abstract

Otomatisasi pada smart garden mulai membutuhkan pemantauan pertumbuhan tanaman yang akurat dan efisien, dengan pengukuran luas daun sebagai salah satu parameter yang penting. Sebuah sistem segmentasi citra dikembangkan untuk menentukan luas dan mengidentifikasi konstanta daun menjari, khususnya tanaman pepaya (Carica papaya L.). Kinerja berbagai algoritma dianalisis secara komprehensif, meliputi segmentasi klasik, machine learning dengan Random Forest Classifier, dan deep learning dengan arsitektur U-Net serta YOLOv11-seg. Pengujian menyeluruh dilakukan dengan mengevaluasi skor IoU, akurasi, recall, dan presisi untuk kinerja segmentasi; nilai RMSE dan MSE untuk akurasi prediksi nilai konstanta; serta waktu pelatihan dan inferensi untuk efisiensi komputasi setiap model. Hasil menunjukkan bahwa model YOLOv11-seg memberikan kinerja segmentasi paling stabil secara keseluruhan, dengan capaian IoU yang tinggi dan konsisten pada objek daun (0.904) dan koin (0.883). Meskipun demikian, untuk tugas identifikasi nilai konstanta, Random Forest memberikan akurasi prediksi terbaik yang ditunjukkan dengan nilai RMSE terendah 0.016. Hasil ini mengonfirmasi potensi signifikan dari metode machine learning dan deep learning untuk diterapkan dalam sistem pertanian digital, guna mendukung otomatisasi pemantauan pertumbuhan tanaman secara presisi.
Data Streaming Pipeline Model Using DBSTREAM-Based Online Machine Learning for E-Commerce User Segmentation Musababa, Muhammad Adin; Fachrie, Muhammad
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11522

Abstract

The rapid development of information technology has driven major transformations in the digital business sector, particularly e-commerce. Consumers who shop at e-commerce sites generally have different characteristics, behaviors, and needs. Analyzing the behavior of each consumer is difficult to do manually, requiring an automation system that can help identify consumer behavior patterns adaptively. However, most customer segmentation approaches still rely on batch learning methods based on static data, making them unable to quickly adapt to changes in user behavior. This study aims to design a streaming data pipeline based on Online Machine Learning (OML) integrated with the Density-Based Clustering for Data Streams (DBSTREAM) algorithm to produce adaptive e-commerce user segmentation. The system was developed using Python with RabbitMQ as a real-time data stream simulator, MongoDB for storing results, and Streamlit as a visualization interface. The clustering process was performed incrementally using DBSTREAM, then stabilized through Hierarchical Agglomerative Clustering (HAC) to avoid over-segmentation. Evaluation using the Silhouette Coefficient and Davies-Bouldin Index (DBI) shows that the optimal model for the cluster threshold is in the range of 0.6 to 0.8 and for the fading factor is 0.0005 or even smaller, such as 0.0003. The evaluation results obtained a Silhouette value of -0.1125 and a DBI of 0.2796. These results prove that DBSTREAM-based OML integration is capable of forming consumer behavior segmentation efficiently and adaptively to continuous and real-time changes in streaming data.
China-South Pacific Relations: China’s Approach in China-Pacific Island Countries Economic Development and Cooperation Forum Kristianto, Yohanes Ivan Adi; Fachrie, Muhammad; Atmojo, Wijoseno Cahyo; Rif’an, Ahmad
Politicos: Jurnal Politik Dan Pemerintahan 13-25
Publisher : Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/politicos.5.1.2025.13-25

Abstract

People's Republic of China or commonly known as China has been transformed as one of the respected rising powers. China's hegemony in various regions is strongly supported by its economic power and military strength. The strength of these two aspects has influenced China's growing political power in international politics. In the economic aspect, China strengthens its influence by establishing economic cooperation relations with various international entities, including the Pacific Island countries. One form of such cooperation is the China-Pacific Island Countries Economic Development and Cooperation Forum. This research aims to answer the question of why China is attempting to intensify economic cooperation with Pacific Island countries. The authors decided to focus on the research with time scope 2011-2019 because China began to intensify the cooperation since 2011. Meanwhile, China's offer of financial assistance was last identified in 2019, so that year is selected to be the limit for the research focus. Furthermore, the conceptual framework utilized is regime formation and regional hegemon. We argue that the cooperation undergone by China in South Pacific is to establish an economic cooperation regime. By establishing the regime, China intends to become a hegemon in South Pacific, at once decrease the influence of the United States and Australia in that region and secure its political interest in Southeast Asia where this territorial has become a power struggle field between China and the United States.  
Indonesia’s Digital Diplomacy: An Analysis of Penta-Helix Collaborative Governance Fachrie, Muhammad
Politicos: Jurnal Politik Dan Pemerintahan 99-113
Publisher : Universitas Warmadewa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/politicos.5.2.2025.99-113

Abstract

Digital diplomacy in Indonesia is run by a complicated governance structure that includes cooperation between government agencies and non-state actors. It mainly uses social media platforms and online media content to interact with audiences around the world, in contrast to traditional diplomacy, which depends on official state-to-state meetings. Through social media and other channel in internet, Indonesia actively used digital diplomacy to communicate with foreign entities during the COVID-19 pandemic. Despite its effectiveness during the pandemic, Indonesia's digital diplomacy governance is still largely unregulated and poorly understood. The purpose of this study is to investigate how Indonesian digital diplomacy ought to be managed with the participation of pertinent parties. The study investigates stakeholder dynamics in digital diplomacy using a qualitative methodology. It uses the penta-helix model of collaborative governance and the idea of digital diplomacy as its theoretical framework. Data triangulation is also used to improve the analysis's depth and dependability. In the end, the results indicate that both state and non-state actors should be a part of Indonesia's digital diplomacy governance, with the government serving as a catalyst and a regulator. The government is obligated to collaborate with the media, industry, academia, and civil society organizations (CSOs). MoFA's strategic planning for 2017 and 2020–2024, government collaboration with various businesses, university discussions on digital diplomacy (such as ITB, UGM and UI), FPCI's role as a CSO, and Kompas and the Jakarta Post's coverage of Indonesia's diplomatic interest are some examples of best practices in the country's digital diplomacy. However, the absence of comprehensive regulation remains a major obstacle to Indonesia's digital diplomacy. The study concludes by highlighting the necessity of a thorough and well-coordinated strategy that capitalizes on the advantages of each of the five penta-helix actors in order to improve the efficacy of digital diplomacy in a world that is becoming more and more digitalized.
Hamisfera: Sistem Rekomendasi Progresi Chord Berbasis Sentimen Lirik Melalui Studi Komparatif Arsitektur Transformer dan Mixture of Experts Ibra, Fara Daud; Fachrie, Muhammad
Jurnal Informatika dan Multimedia Vol. 17 No. 2 (2025): Jurnal Informatika dan Multimedia
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jtim.v17i2.9057

Abstract

Abstrak – Proses penciptaan lagu sering kali memerlukan penyelarasan antara nuansa emosional lirik dengan harmoni musik yang tepat. Namun, penerjemahan sentimen lirik menjadi progresi chord secara manual merupakan tantangan yang berarti. Penelitian ini bertujuan untuk mengidentifikasi arsitektur deep learning yang optimal bagi sistem Hamisfera, sebuah kerangka dua tahap yang dirancang untuk memberikan rekomendasi progresi chord yang relevan secara emosional berdasarkan lirik multibahasa. Metodologi melibatkan studi komparatif antara arsitektur Transformer dan Mixture of Experts menggunakan model pralatih XLM-R, yang dievaluasi pada dataset 73.369 entri, diperluas dari 12.000 entri data orisinal melalui augmentasi dan pembersihan. Temuan penelitian menunjukkan hasil yang berbeda per tugas, untuk klasifikasi emosi, arsitektur MoE pralatih menunjukkan keunggulan kecil dengan F1-Score sebesar 0,844. Sebaliknya, untuk generasi chord, arsitektur Transformer pralatih unggul secara keseluruhan berkat kefasihan generasi yang lebih baik, dengan BLEU-4 sebesar 0,608, serta efisiensi sumber daya yang lebih tinggi. Oleh karena itu, konfigurasi hibrida MoE untuk klasifikasi dan Transformer untuk generasi ditentukan sebagai solusi paling optimal.
Literasi Digital Bijak Bermedia Sosial Di Desa Kaliangkrik Randyantokho Randyantokho; Meita Anindya Safitri; Sukmawati Waluyo Putri; Lia Oktavya Susilo Putri; Rizal Adiyatma; Lailatul Fitria; Kartika Damayanti; Laelatul Aina Fadhilah; Aulia Ines Mubiarto; M Fadhil Zaeruki; Muhammad Fachrie
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 4 No. 1 (2024): Maret : Jurnal Pengabdian Masyarakat Nusantara
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v4i1.2866

Abstract

Wise literacy in social media is a critical aspect in dealing with the complexity of online interactions in the digital era. A deep understanding of social media-platform use and the ability to critically evaluate information is at the core of this literacy. Individuals who have wise social media literacy can filter out inaccurate information, understand the social, cultural and political impacts of the content they consume or share. The importance of wise social media literacy also involves responding to disinformation, where individuals can effectively avoid the spread of fake or manipulative news. Ethical aspects of communication are also a focus, with this literacy teaching individuals to promote healthy dialogue and respect diversity of opinion, forming a more positive and inclusive online environment. This research aims to find out how the pattern of community service is a manifestation of the tridharma of higher education related to aspects of community service. In implementing the community service program that has been prepared previously, the method used is increasing knowledge by means of counseling or socialization with the aim of providing understanding and wise skills in digital literacy from the extension team. Apart from that, wise social media literacy also considers online security and privacy risks. Users need to be able to manage and protect their personal information, avoid threats such as fraud, and carefully guard their digital identity. This is not only an individual skill, but also a contribution to the sustainability and security of the global digital environment. By mastering social media literacy, individuals can better navigate the complexities of social media, participate positively, and make informed and wise decisions in using these platforms. Overall, smart social media literacy is an important foundation for forming individuals who are able to interact wisely in an ever-growing digital world. By combining an understanding of content, communication skills, and awareness of security risks, wise social media literacy helps shape an intelligent, ethical, and empowered online society.
Co-Authors Achmad Ismail Arif Wicaksa Aryo Bimo Prasetyo Atika Nur Hidayah Atmojo, Wijoseno Cahyo Aulia Ines Mubiarto Ibra, Fara Daud Joko Tri Nugroho Kartika Damayanti Krisna Silaen, Ezra Santa Kristianto, Yohanes Ivan Adi Laelatul Aina Fadhilah Lailatul Fitria Lia Oktavya Susilo Putri M Fadhil Zaeruki Mahirssa, Rafif Meita Anindya Safitri Mukhtar, Syafieq Adiibul Mukti, Ari Musababa, Muhammad Adin Pratama Putra, Muhammad Ali Pratiwi, Ade Shinta putra, alvian alexandro eko Randyantokho Randyantokho Rif’an, Ahmad Rizal Adiyatma Sukmawati Waluyo Putri Sumunarsih, Sumunarsih Wahyudi, Herry Widanti, Eki Melina