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All Journal JMM17: Jurnal Ilmu Ekonomi dan Manajemen Jurnal Teknik Informatika UNIKA Santo Thomas JURNAL PENDIDIKAN TAMBUSAI Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Jurnal Kesehatan Budi Luhur: Jurnal Ilmu-Ilmu Kesehatan Masyarakat, Keperawatan, dan Kebidanan Jurnal BELAINDIKA (Pembelajaran dan Inovasi Pendidikan) Equalita: Jurnal Studi Gender dan Anak Action Research Literate (ARL) Brilliance: Research of Artificial Intelligence Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Digital Transformation Technology (Digitech) QISTINA: Jurnal Multidisiplin Indonesia INCOME: Indonesian Journal of Community Service and Engagement Eduvest - Journal of Universal Studies Innovative: Journal Of Social Science Research JAMPARING: Jurnal Akuntansi Manajemen Pariwisata dan Pembelajaran Konseling JATIKOM: Jurnal Aplikasi dan Teori Ilmu Komputer Jurnal Guru Komputer Jurnal Pendidikan Teknologi Informasi dan Komunikasi Matra Scientific Journal of Informatics Holistik Jurnal Kesehatan ASEAN Journal of Educational Research and Technology
Asep Wahyudin
Universitas Kristen Krida Wacana
Religion Aerospace Engineering Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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Migrating Monolithic to Microservices: Comparative Performance Testing Evaluation Between Architectures Wahyudin, Asep; Siregar, Herbert; Anisyah, Ani; Kusumawardani, Sekar Madu; Erlangga
Scientific Journal of Informatics Vol. 12 No. 4: November 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i4.28499

Abstract

Purpose: Various organizations and industries have migrated their systems from previously adopting monolithic architecture to microservices architecture. One of the advantages of microservices architecture that is desired to be achieved from the migration process is the performance side. Therefore, this research aims to conducted performance testing on the system that was migrated from monolithic to microservices in the previous study. Methods: This research was conducted in several stages, such as designing and implementing software and applications, creating performance testing scenarios, executing scenario testing with load testing, stability testing (soak testing), and stress testing such as load testing, soak testing, and stress testing, and finally analyzing and reporting testing results using performance indicator in terms of response time, throughput, and error rate. Result: The test results showed a significant increase in performance before and after the migration of the monolithic system to microservices. Application response time became faster, more requests could be handled, and the failure rate experienced by the system was smaller. This shows that system performance is better with the implementation of microservices architecture. Novelty: This research presents a novelty in the form of a comparative evaluation of real deployment-based system performance between Laravel monolithic architecture and Golang gRPC-based microservices on the same application, with a seven-stage performance testing approach and the use of in-depth quantitative metrics using Apache JMeter.
School Feasibility Analysis and Grade Improvement Strategies Using the Random Forest Algorithm Aliyya, Farrel Rahma; Farizi, Syahandhika Naufal; Riza, Lala Septem; Megasari, Rani; Nugraha, Eki; Wahyudin, Asep
JENTIK : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 4 No. 2 (2025): Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/jentik.v4i2.475

Abstract

Background of Study: Educational disparities across Indonesian provinces persist, particularly in infrastructure, teacher quality, and dropout rates, necessitating data-driven analysis for equitable improvements.Aims: This study investigates school feasibility and proposes strategies to enhance provincial education performance using the Random Forest algorithm.Methods: Aggregated provincial education data covering student numbers, dropout rates, teacher qualifications, and classroom conditions were transformed into derivative indicators. A binary classification (Feasible/Not Feasible) based on national dropout median was applied. The model was developed using R with six systematic steps, including training and evaluation of a Random Forest model (ntree = 100, mtry = 3) using accuracy, sensitivity, and specificity.Result: The model accurately classified school feasibility. Key predictors included teacher quality, student-teacher ratios, and classroom conditions. Several provinces were identified as “Not Feasible.”Conclusion: Machine learning proves effective for education policy support. The study offers targeted recommendations such as improving infrastructure, enhancing teacher training, and reducing dropouts to promote equitable education in Indonesia.
Rancang Bangun Sistem Self-Order Berbasis Android untuk CRM Operasional UMKM Kuliner Rosad, Sabila; Siregar, Herbert; Wahyudin, Asep
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.767

Abstract

Culinary Micro, Small, and Medium Enterprises (MSMEs) still face challenges in the ordering process, such as manual order recording, long queues, and limited management of order data. These conditions highlight the need for digital transformation to improve operational efficiency and service quality. This study aims to design and develop an Android-based self-order system for culinary MSMEs as a form of ordering process digitalization and as an implementation of operational Customer Relationship Management (CRM). The research method applied is system development, including literature study, requirement analysis, system design, implementation, and testing. The system adopts a client–server architecture, with an Android application as the client and a FastAPI-based backend integrated with a PostgreSQL database. The application allows customers to view menus, add items to a cart, enter customer identity, and place orders independently without user authentication. System testing is conducted using black-box testing to validate functional requirements. The results indicate that the developed self-order system operates properly in supporting digital ordering processes, improving operational efficiency, and facilitating the implementation of operational CRM through structured order data management. This system is expected to serve as a practical solution for culinary MSMEs in managing digital ordering and customer interactions.
Implementasi Indobert dan Large Language Model pada Aplikasi Chatbot Adaptif berdasarkan Emosi Pengguna Saraswati, Destira Lestari; Wahyudin, Asep; Hambali, Yudi Ahmad
Digital Transformation Technology Vol. 6 No. 1 (2026): Periode Maret 2026
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v6i1.7113

Abstract

Kesehatan mental menjadi isu krusial di Indonesia seiring meningkatnya prevalensi gangguan psikologis dan terbatasnya akses layanan profesional. Kolaborasi antara Kementerian Pemberdayaan Perempuan dan Perlindungan Anak (KemenPPPA) dengan UNICEF menegaskan pentingnya sinergi dukungan kesehatan mental di berbagai sektor, termasuk melalui media digital. Penelitian ini mengembangkan aplikasi kesehatan emosional berbasis chatbot adaptif yang memanfaatkan IndoBERT untuk klasifikasi emosi cinta, marah, sedih, bahagia, dan takut serta Large Language Model (LLM) untuk menghasilkan respons empatik dan kontekstual dalam Bahasa Indonesia. Pengembangan dilakukan menggunakan model ADDIE (Analysis, Design, Development, Implementation, Evaluation) dengan teknologi Flutter, FastAPI, dan Firebase. Evaluasi dilakukan melalui Blackbox Testing, System Usability Scale (SUS), dan User Experience Questionnaire (UEQ). Hasil menunjukkan seluruh fitur utama berfungsi sesuai spesifikasi tanpa kesalahan logika. Nilai SUS rata-rata mencapai 83,66, termasuk kategori Excellent, sedangkan hasil UEQ menunjukkan skor positif pada seluruh dimensi dengan rata-rata +2,045, terutama pada Perspicuity dan Stimulation. Temuan ini menunjukkan bahwa sistem mampu memberikan pengalaman interaksi yang nyaman, aman, dan adaptif terhadap kondisi emosional pengguna. Penelitian ini masih terbatas pada penerapan ilmu komputer, sehingga penelitian selanjutnya perlu ditinjau lebih lanjut dari perspektif keilmuan psikologi. Secara keseluruhan, penelitian ini membuktikan bahwa integrasi IndoBERT dan LLM efektif dalam membangun chatbot empatik yang relevan secara linguistik dan kultural, serta berpotensi menjadi dukungan awal dalam peningkatan kesadaran kesehatan emosional masyarakat Indonesia.
Implementasi aplikasi “Mentari” assessment berbasis kearifan lokal Sunda pada remaja untuk peningkatan literasi dan ketahanan mental Hertini, Reni; Rohita, Tita; Wahyudin, Asep; Riyantina, Ade Sity; Cahyani, Gita; Berliani, Melin; Awaliyah, Rida Nurfarida; Mubarok, Resdyana
Holistik Jurnal Kesehatan Vol. 19 No. 12 (2026): Volume 19 Nomor 12
Publisher : Program Studi Ilmu Keperawatan-fakultas Ilmu Kesehatan Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/hjk.v19i12.2055

Abstract

Background: Adolescent mental health is a critical issue currently of global, national, and local concern. According to data from the World Health Organization (WHO), more than 970 million people worldwide experience mental disorders, with depression and anxiety disorders being the two most common conditions. Specifically, the WHO states that approximately 1 in 7 adolescents aged 10–19 years experience a mental disorder. Purpose: To analyze the implementation of the "Mentari" assessment app, based on Sundanese local wisdom, for adolescents to improve mental literacy and resilience. Method: A quantitative approach with a single-group pre-posttest (single-group pretest–posttest) quasi-experimental design was used. Participants were 117 adolescents in Ciamis Regency. The sample was selected using a non-probability purposive sampling technique. Data were analyzed using the Wilcoxon Signed Rank Test. Results: There was a significant difference between anxiety and depression levels before and after using the "Mentari" assessment app, with a downward trend. Conclusion: The "Mentari" app intervention was shown to have a significant impact on reducing participants' anxiety and depression levels. The integration of a digital approach with the cultural values ​​of silih asah, silih asih, and silih asuh makes this application effective as a medium for early detection and support for promotive-preventive mental health efforts.   Keywords: Adolescents; Digital-Based Intervention; Mental Health Literacy; Mental Resilience; Sundanese Local Wisdom.   Pendahuluan: Kesehatan mental remaja merupakan isu penting yang saat ini menjadi perhatian global, nasional, maupun lokal. Berdasarkan data dari World Health Organization (WHO), lebih dari 970 juta orang di seluruh dunia mengalami gangguan mental, dengan depresi dan gangguan kecemasan sebagai dua kondisi yang paling umum. Secara khusus, WHO menyebutkan bahwa sekitar 1 dari 7 remaja usia 10–19 tahun mengalami gangguan mental. Tujuan: Untuk menganalisis Implementasi aplikasi “Mentari” assessment berbasis kearifan lokal Sunda pada remaja untuk peningkatan literasi dan ketahanan mental. Metode: Pendekatan kuantitatif dengan desain quasi-experimental pre-post single group (one-group pretest–posttest). Partisipan adalah remaja di Kabupaten Ciamis sebanyak 117 siswa. Pemilihan sampel dilakukan secara non-probabilitas purposive. Data dianalisis menggunakan uji Wilcoxon Signed Rank Test. Hasil: Terdapat perbedaan yang bermakna antara tingkat kecemasan dan depresi sebelum dan sesudah penggunaan aplikasi “Mentari”  Assessment dengan arah perubahan yang cenderung menurun. Simpulan: Intervensi aplikasi “Mentari” terbukti memberikan pengaruh yang signifikan terhadap penurunan tingkat kecemasan dan depresi partisipan. Integrasi pendekatan digital dengan nilai budaya silih asah, silih asih, dan silih asuh menjadikan aplikasi tersebut efektif sebagai media deteksi dini dan pendukung upaya promotif-preventif kesehatan mental.   Kata Kunci: Intervensi Berbasis Digital; Kearifan Lokal Sunda; Ketahanan Mental; Literasi Kesehatan Mental; Remaja.
Penerapan Double Diamond untuk Rancang Bangun Website Pelaporan Keamanan Mahasiswa UPI Fitriani, Azzahra Fahriza; Wahyudin, Asep; Sukamto, Rosa Ariani
Digital Transformation Technology Vol. 6 No. 1 (2026): Periode Maret 2026
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v6i1.7545

Abstract

Keamanan kampus merupakan aspek penting dalam menciptakan lingkungan akademik yang aman dan nyaman bagi mahasiswa. Berbagai insiden seperti kehilangan barang, kekerasan, pelecehan seksual, dan vandalisme masih terjadi di lingkungan perguruan tinggi, termasuk di Universitas Pendidikan Indonesia (UPI), sementara sistem pelaporan yang tersedia masih bersifat manual dan kurang optimal sehingga berdampak pada rendahnya partisipasi mahasiswa. Penelitian ini bertujuan merancang dan mengevaluasi website pelaporan keamanan mahasiswa berbasis User Experience (UX) untuk meningkatkan kemudahan, kejelasan, dan kepercayaan dalam proses pelaporan. Penelitian menggunakan metode Double Diamond yang meliputi tahap Discover, Define, Develop, dan Deliver. Evaluasi dilakukan melalui System Usability Scale (SUS) dan User Experience Questionnaire (UEQ) yang melibatkan 37 responden mahasiswa. Hasil penelitian menunjukkan skor rata-rata SUS sebesar 88 yang termasuk kategori acceptable dengan interpretasi excellent. Seluruh skala UEQ juga menunjukkan evaluasi sangat baik berdasarkan benchmark, yang mengindikasikan kualitas pengalaman pengguna yang positif. Temuan ini menunjukkan bahwa pendekatan Double Diamond efektif dalam menghasilkan prototipe sistem pelaporan dengan tingkat usability dan UX yang tinggi. Secara praktis, sistem ini berpotensi meningkatkan partisipasi mahasiswa dalam pelaporan keamanan dan mendukung penguatan sistem keamanan kampus. Penelitian lanjutan diperlukan untuk menguji performa sistem dalam implementasi nyata dan penggunaan jangka panjang.
Co-Authors Achmaddifa, Deffin Adinda Salsabilla Agustin, Putri Aprilia Ahmaddifa, Deffin Alinurdin, Enjang Aliyya, Farrel Rahma Anisyah , Ani Anisyah, Ani Asep Nugraha, Asep Awaliyah, Rida Nurfarida Ayustyaningtias, Rochma Berliani, Melin Cahyani, Gita Didin Wahyudin, Didin Djap Hadi Susanto Eddy Prasetyo Nugroho Eki Nugraha Enjang Ali Nurdin Enjun Junaeti Erlangga Fahmi Ali Ramdhani Farizi, Syahandhika Naufal Fathimah, Nusuki Syari’ati Firmansyah, Basuki Rahmat Fitriani, Azzahra Fahriza Hambali, Yudi Ahmad Hertini, Reni Kholis, Yaftahillaah Fidia Komala, Icuh Kosidin, Kosidin Kusnendar, Jajang Kusumanagara, Fadhlirrahman Kusumawardani, Sekar Madu Lala Septem Riza M. Yusuf Bahtiar, M. Yusuf Marfuddin, Ade Melda Suryana Mubarok, Resdyana Muhamad Firdaus Munir Munir, Munir Nina Aminah, Nina Noviana, Renra Nurkhofifah, Eva Nursalman, Muhammad Piantari, Erna Pratama, Reza Puspo Dewi Dirgantari Putra, Farhan Muzhaffar Tiras Putro, Budi Laksono Rani Megasari Rasim Rian Permana Riyantina, Ade Sity Rosa Ariani Sukamto Rosad, Sabila Samad, Izzan Firizqi Abdul Saraswati, Destira Lestari Sari, Putri Pradnyawidya Siregar, Herbert Sisca Septyani Suhaya Suhaya, Suhaya Sukma, Bagja Angga Suratno Suratno Suryanal, Adang Syahla, Talitha Tita Rohita Tresnayatna, Bayusandya Vera . Wawan Setiawan Wibisono, Yudi Yulisa . Zulfikar, Ihsan Ghozi