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All Journal Jurnal Ilmiah KOMPUTASI JRSI (Jurnal Rekayasa Sistem dan Industri) SEIKO : Journal of Management & Business IJIES (International Journal of Innovation in Enterprise System) Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal La Multiapp Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Indonesia Sosial Sains eProceedings of Engineering Eduvest - Journal of Universal Studies Informatics Management, Engineering and Information System Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi The Indonesian Journal of Computer Science
Nur Ichsan Utama
Universitas Telkom
Religion Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Nursing Physics Public Health Social Sciences Other

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Optimizing Pytixs Online Ticketing Applications with Microservices Implementation: An Approach from Monolithic Infrastructure Ridwan, Abdullah; Utama, Nur Ichsan
Eduvest - Journal of Universal Studies Vol. 5 No. 9 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i9.52220

Abstract

Pytixs faces the challenge of defining and developing their online ticketing web application based on monolithic infrastructure and hosted on VPS (Virtual Private Server). This monolithic structure causes difficulties in scalability, maintenance, and the development of efficient new features. Therefore, migration to the microservices architecture hosted on AWS (Amazon Web Services) is considered a solution that can improve system performance, scalability, and flexibility. The study aims to evaluate and implement the transformation of Pytixs online ticketing web applications from a monolithic VPS-hosted infrastructure to a microservices architecture hosted on AWS. The migration process involves dismantling a monolithic service into several small, independent services, which communicate through the RESTful API. In addition, AWS provides a range of services that support microservices, such as Amazon ECS, Amazon Lambda, and Amazon RDS, which help in improving efficiency and infrastructure management. The results of this study show that migration to the microservices architecture hosted on AWS provides significant improvements in terms of system scalability and performance. In addition, application development and maintenance time is drastically reduced, allowing the development team to respond to business needs faster and more efficiently. This Pytixs case study provides practical guidance and insight to other companies facing similar challenges in upgrading their web applications.
Implementasi Model Deep Learning Pada Sistem Deteksi dan Klasifikasi Kualitas Batang Tebu untuk Optimasi Penentuan Kualitas Siregar , Anggiat Pandu Daniel; Utama, Nur Ichsan; Fa'rifah, Riska Yanu
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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Abstract

Industri gula nasional mengalami penurunan produksi sebesar 7,01% pada tahun 2023, salah satunya disebabkan oleh rendahnya efisiensi pascapanen akibat proses klasifikasi mutu batang tebu yang masih dilakukan secara manual. Proses ini menimbulkan inkonsistensi, potensi konflik antara petani dan petugas lapangan, serta peningkatan biaya operasional. Penelitian ini mengembangkan sistem klasifikasi mutu batang tebu berbasis deep learning menggunakan pendekatan dua tahap. Tahap pertama menggunakan YOLOv11 untuk mendeteksi batang tebu, sedangkan tahap kedua menggunakan arsitektur EfficientNet (B0–B3) untuk mengklasifikasikan mutu ke dalam lima kategori (A–E). Dataset citra diperoleh dari jalur produksi PT Sinergi Gula Nusantara dan diproses melalui tahapan Knowledge Discovery in Database (KDD), meliputi data preprocessing, augmentasi, resizing, dan splitting. Hasil evaluasi menunjukkan bahwa YOLOv11 mencapai akurasi 93,5%, precision 95,7%, recall 94,4%, mAP@0.5 sebesar 97,8%, dan mAP@0.5:0.95 sebesar 89,4%. Sementara itu, EfficientNet-B2 menghasilkan akurasi klasifikasi tertinggi sebesar 88,57% setelah proses fine-tuning. Sistem yang dikembangkan mampu beroperasi pada kondisi visual yang kompleks dan dinamis, serta memberikan hasil klasifikasi yang konsisten. Studi ini menunjukkan potensi teknologi deep learning dalam mendukung otomasi dan peningkatan objektivitas proses penilaian mutu di industri agroindustri. Kata kunci— Deep Learning, EfficientNet, KDD, Klasifikasi Kualitas Batang Tebu, YOLOv11
Analyzing Digital Twin Adoption in Aluminum Plants Using Technology Readiness Index 2.0 Yusuf Nugroho Doyo Yekti; Wiyono Sutari; Nur Ichsan Utama; Murman Dwi Prasetio
International Journal of Innovation in Enterprise System Vol. 8 No. 2 (2024): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v8i02.269

Abstract

In the era of industrial digitalization, Digital Twin technology offers a potential solution to enhanceefficiency and innovation. This study investigates the readiness of workers in an Indonesian aluminumcasting plant to embrace new technology, considering their perceptions of optimism, innovation,discomfort, and insecurity. A semi-quantitative approach was employed, utilizing the TechnologyReadiness Index (TRI) 2.0. The research involved four representatives selected by the industry'sleadership. Questions were specifically designed to assess the readiness for Digital Twin technologyin the aluminum casting plant. The data were analyzed using content analysis to determine the overallreadiness for new technology and the characteristics of key personnel for Digital Twin technology.The overall Technology Readiness Index (TRI) 2.0 score indicated a grand mean of 3.75 (SD: 0.74),suggesting that the employees generally tend to be skeptical but slightly inclined towards a positiveattitude in accepting Digital Twin technology for implementation in the aluminum casting plant.
Design and Build a Public Complaint Feature Via WhatsApp on the Adu.in Website with the Scrum Method : Case Study: West Java DPRD Hazdia, Aprilita Firsty; Utama, Nur Ichsan; Suakanto, Sinung
Jurnal Indonesia Sosial Sains Vol. 5 No. 04 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i04.1070

Abstract

The importance of the role of members of the Regional People's Representative Council (DPRD) as representatives of the community requires active involvement in absorbing, accommodating, collecting, and following up on community aspirations and complaints. However, the complaint process often faces obstacles that result in delays in resolving problems, ranging from the complexity of the complaint flow to the difficulty of finding an effective complaint platform. To overcome these challenges, an innovative step was taken, which was to create a website that provides a complaint feature via WhatsApp. The main objective of this initiative is to provide easier access to the community to participate in raising their complaints and complaints. With the WhatsApp complaint platform, it is hoped that the community can quickly and efficiently report problems and provide feedback to the local government. The WhatsApp complaint feature is integrated to minimize technical barriers and facilitate use by the wider community. Through this website, people can easily file complaints, send messages, and provide documentation related to the problems faced. With the implementation of this platform, it is expected that problem-solving can be done more efficiently and responsively. Thus, creating a public complaint website with a complaint feature via WhatsApp is not only a practical solution in dealing with the obstacles of the complaint process but also a significant step in encouraging active public participation in building a transparent and accountable government.
Perancangan Aplikasi Berbasis Web Menggunakan Metode Sdlc Model Rad Untuk Manajemen Dan Reservasi Kunjungan Pasien Pada Praktek Mandiri Bidan Hafizal Arsyad, Muhammad; Alam, Ekky Novriza; Utama, Nur Ichsan
eProceedings of Engineering Vol. 10 No. 6 (2023): Desember 2023
Publisher : eProceedings of Engineering

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Abstract

Transformasi digital telah mengubah berbagai sektor, termasuk kesehatan. Menurut strategi transformasi digital kesehatan 2024 Kementerian Kesehatan Republik Indonesia, masalah utama dalam pencatatan data di fasilitas kesehatan adalah kelengkapan, ketidaksesuaian, dan kurangnya akurasi data. Hal yang sama juga terjadi pada praktek mandiri bidan di kecamatan Mandau. Berdasarkan survei, ditemukan beberapa permasalahan terkait kunjungan pasien, seperti pencatatan kunjungan yang masih manual, kesulitan mencari data kunjungan sebelumnya, dan jadwal kunjungan berikutnya. Selain itu, terkadang pasien datang saat bidan tidak ada di tempat, menyebabkan pasien harus menunggu atau bahkan datang kembali nanti. Untuk mengatasi masalah-masalah tersebut, penelitian ini merancang sebuah aplikasi web untuk manajemen dan reservasi kunjungan pasien pada praktek mandiri bidan menggunakan metode Software Development Life Cycle (SDLC) model Rapid Application Development (RAD). Setelah melalui pengujian sistem secara paralel saat perancangan dan uji coba penerimaan pengguna, aplikasi ini berhasil memenuhi kebutuhan pengguna dengan skor akhir 4,475 dari 5. Hal ini membuktikan bahwa aplikasi ini diterima dan dapat meningkatkan efisiensi dan kualitas pelayanan kesehatan dalam praktek mandiri bidan. Aplikasi ini juga memudahkan pasien dalam melakukan reservasi kunjungan dan menghindari masalah antrian pasien atau keberadaan bidan yang tidak ada di tempat.Kata kunci - Web, Bidan, Pasien, Reservasi, Kunjungan.
Co-Authors Adillah, Muhammad Fauzan Nur Ahnaf , Farhan Bani Al Ansary, Faishal Mufied Al Fatwa, Rizki Aprilita Firsty Hazdia Asyam , Muhammad Rizq Dzaki Bagaskara, Kumara Ris Panji Dian Novitasari Puspitaningrum Ekky Novriza Alam Fa'rifah, Riska Yanu Faishal Mufied Al Anshary Hafizal Arsyad, Muhammad Hazdia, Aprilita Firsty Himawan, Naufal Aqil Ilham Perdana Isnaeni, Rizqullah Maziyah Lailatuth Thohiroh, Elvira Muhammad Abizard Al Thareq Muharman Lubis Murman Dwi Prasetio Mustada, Fitrina Annisa Naufal Aqil Himawan Nur Adillah, Muhammad Fauzan Oktariani Nurul Pratiwi Puspitaningrum, Dian Novitasari Raharjo, Adi Raina, Apriani Nur Ridwan, Abdullah Rio Aurachman Riverinda Rijadi, Safara Cathasa Sapna, Sitti Munawwarah Sinung Suakanto Siregar , Anggiat Pandu Daniel Tien Fabrianti Kusumasari Wiyono Sutari Yusuf Nugroho Doyo Yekti