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All Journal Jurnal Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Informatika Universitas Pamulang JOISIE (Journal Of Information Systems And Informatics Engineering) INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi METIK JURNAL International Journal of Engineering, Technology and Natural Sciences (IJETS) International Journal of Advances in Data and Information Systems Djtechno: Jurnal Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Scientific Research, Education, and Technology Journal of Computing Theories and Applications Journal of Future Artificial Intelligence and Technologies
Suyud Widiono
Department Of Computer Engineering, Universitas Teknologi Yogyakarta, Indonesia
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 Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Integrating Hybrid Statistical and Unsupervised LSTM-Guided Feature Extraction for Breast Cancer Detection Setiadi, De Rosal Ignatius Moses; Ojugo, Arnold Adimabua; Pribadi, Octara; Kartikadarma , Etika; Setyoko, Bimo Haryo; Widiono, Suyud; Robet, Robet; Aghaunor, Tabitha Chukwudi; Ugbotu, Eferhire Valentine
Journal of Computing Theories and Applications Vol. 2 No. 4 (2025): JCTA 2(4) 2025
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jcta.12698

Abstract

Breast cancer is the most prevalent cancer among women worldwide, requiring early and accurate diagnosis to reduce mortality. This study proposes a hybrid classification pipeline that integrates Hybrid Statistical Feature Selection (HSFS) with unsupervised LSTM-guided feature extraction for breast cancer detection using the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. Initially, 20 features were selected using HSFS based on Mutual Information, Chi-square, and Pearson Correlation. To address class imbalance, the training set was balanced using the Synthetic Minority Over-sampling Technique (SMOTE). Subsequently, an LSTM encoder extracted non-linear latent features from the selected features. A fusion strategy was applied by concatenating the statistical and latent features, followed by re-selection of the top 30 features. The final classification was performed using a Support Vector Machine (SVM) with RBF kernel and evaluated using 5-fold cross-validation and a held-out test set. Experimental results showed that the proposed method achieved an average training accuracy of 98.13%, F1-score of 98.13%, and AUC-ROC of 99.55%. On the held-out test set, the model reached an accuracy of 99.30%, precision of 100%, and F1-score of 99.05%, with an AUC-ROC of 0.9973. The proposed pipeline demonstrates improved generalization and interpretability compared to existing methods such as LightGBM-PSO, DHH-GRU, and ensemble deep networks. These results highlight the effectiveness of combining statistical selection and LSTM-based latent feature encoding in a balanced classification framework.
Performance Evaluation of RESTful API in Sales Target Monitoring System for Direct Sales and Sales Canvassers Widiono, Suyud; Friwaldi, Restian Dwi; Anggara, Afwan
Jurnal Informatika Vol 12, No 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i2.25747

Abstract

In an increasingly competitive digital era, manual sales target monitoring often leads to delayed information and inefficiency in decision-making. This research aims to develop a web and mobile-based sales target monitoring system integrated with RESTful API to enhance the efficiency of monitoring the performance of direct sales and sales canvassers. The system is developed using the Laravel framework for the back-end and Flutter for the mobile application, with Agile methodology applied in the development process. Testing is conducted using the Black Box Testing method to ensure the accuracy of system functionalities, including user authentication, sales data management, and sales target monitoring. Additionally, load testing is performed using Apache JMeter with scenarios of 500, 750, and 1000 users. The test results show that the system has stable performance with an average response time of 758 ms for 500 users, 762 ms for 750 users, and 880 ms for 1000 users, all below the threshold of 900 ms. The error rate is recorded at 0.00%, and the system throughput exceeds the set target, indicating the system's reliability in handling simultaneous user requests. The conclusion of this research shows that the implementation of RESTful API in the sales monitoring system can improve operational efficiency, enable real-time data exchange, and support faster, data-driven decision-making. As a recommendation, further development could include broader integration with mobile applications and the implementation of AI-based analytics for sales strategy optimization.
APLIKASI GAMIFY PELATIHAN SUMBER DAYA MANUSIA (SDM) KARYAWAN MENGGUNAKAN METODE USER CENTERED DESIGN (UCD) Nugraha, Havin Neo Dimas; Widiono, Suyud
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 8 No 2 (2024)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v8i2.4715

Abstract

Setiap perusahaan memiliki visi dan misi untuk mendukung kemajuan dan pengembangan bisnis. Sumber Daya Manusia (SDM) menjadi bagian penting yang layak mendapatkan perhatian. Perusahaan memiliki kebutuhan penting untuk menyiapkan program pelatihan dan pengembangan dalam rangka menyiapkan SDM yang berkualitas dan kompeten. Pada perusahaan masih menggunakan metode pelatihan konvensional sehingga karyawan yang mengikuti kegiatan cenderung rendah tingkat keterlibatannya dan rendah motivasi. Pelatihan konvensional sering kali dianggap membosankan dan kurang interaktif sehingga menyebabkan karyawan tidak sepenuhnya memahami materi yang diajarkan. Akibatnya, kualitas pelatihan menurun dan perusahaan kesulitan dalam mengidentifikasi karyawan yang berbakat dan kompeten. Untuk menangani masalah sistem yang masih konvensional perlu dilakukan penelitian untuk menciptakan sistem baru yang dapat membantu mengelola SDM pada perusahaan. Metode gamifikasi dengan penggunaan elemen-elemen permainan dalam konteks non-permainan untuk meningkatkan keterlibatan dan motivasi karyawan ketika menggunakan sistem dalam bentuk aplikasi. Metode pengembangan perangkat lunak yang digunakan adalah metode User Centered Design (UCD). Sistem dibuat dalam bentuk situs web dengan menggunakan bahasa pemrograman PHP, dan database MySQL untuk mengelola data-datanya. Ketika aplikasi sudah jadi, maka pengujian dilakukan dengan Black Box Testing. Aplikasi yang dihasilkan dalam bentuk website dilengkapi dengan fitur “Game Play” yang dapat meningkatkan ketertarikan karyawan. Berdasarkan hasil akhir penelitian, aplikasi ini membantu perusahaan dalam mengidentifikasi karyawan yang berbakat dan kompeten, serta meningkatkan efektivitas program pelatihan.
A Government-Oriented Vulnerability Disclosure Program Model Based on Ethical Hacker Perspectives Suryana, Rio Putra; Widiono, Suyud
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.948

Abstract

Digital transformation within government agencies has expanded the number of public-sector digital assets that require continuous cybersecurity protection. However, vulnerability reporting mechanisms in Indonesia remain fragmented, unstandardized, and legally ambiguous, limiting effective collaboration between ethical hackers and government institutions. This study explores the motivations, preferences, and challenges experienced by active vulnerability researchers in participating in government-led Vulnerability Disclosure Programs (VDPs). A descriptive qualitative approach was applied using open- and closed-ended online questionnaires completed by six respondents with proven experience in legal vulnerability reporting. The findings reveal that clear scope definition, transparent rules, timely responses, and legal protection (safe harbour) are the primary factors influencing participation. Although financial incentives are considered beneficial, most participants are willing to report without monetary rewards when non-financial recognition—such as points, badges, or official acknowledgment—is provided. The study also identifies key barriers, including unclear scope, lack of government responsiveness, and concerns regarding legal repercussions. Based on these insights, this work proposes a structured and centralized vulnerability reporting framework tailored for government environments. The proposed model emphasizes clear policies, triage transparency, non-monetary recognition systems, and safe-harbour protections to strengthen national cybersecurity resilience through collaborative public engagement.
Optimizing the Waterfall Method in Designing an Android-Based Mobile Application for Table Reservation in Coffee Shops Galih, Rahardian Damar; Widiono, Suyud
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.956

Abstract

The growth of the coffee shop industry in Indonesia has caused problems in the table reservation system, which is still done manually, such as long queues, uncertainty of seat availability, and poor service. The purpose of this research is to improve service quality by developing an Android-based mobile application that enables table booking and reservation. Requirement analysis, system design, implementation, testing, and maintenance are the stages of the Waterfall Software Development Life Cycle (SDLC) used. Field observations, interviews with managers, and customer questionnaires are the methods used to obtain research data. The implementation results show that the application is capable of making real-time reservations, providing status notifications, and helping managers monitor table capacity. In addition, testing shows that the system can improve customer satisfaction, speed up the reservation process, and reduce queues. Thus, this research found that optimizing the Waterfall method can produce an application that is stable, organized, and relevant to the needs of the contemporary coffee shop industry.
PENGEMBANGAN APLIKASI PEMESANAN MAKANAN BERBASIS ANDROID DENGAN ALGORITMA BUBBLE SORT Ramadhan, Reza Pajri; Widiono, Suyud
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6813

Abstract

Perkembangan teknologi mobile mendorong inovasi dalam berbagai sektor, termasuk bisnis kuliner. Penelitian ini bertujuan untuk mengembangkan aplikasi pemesanan makanan berbasis Android yang dapat meningkatkan efisiensi proses antrian dan pemesanan pada restoran. Metode pengembangan yang digunakan adalah prototype, dengan tahapan meliputi pengumpulan data melalui observasi dan wawancara, analisis kebutuhan, perancangan sistem (UML), serta implementasi menggunakan Android Studio dan database SQL. Algoritma Bubble Sort diintegrasikan untuk mengurutkan menu berdasarkan preferensi seperti harga atau popularitas. Hasil penelitian berupa sebuah aplikasi Android fungsional yang memudahkan pelanggan memesan makanan dan membantu admin mengelola pesanan serta pembayaran. Simpulan menunjukkan bahwa aplikasi ini berpotensi meningkatkan pengalaman pengguna dan efisiensi operasional restoran, meskipun pengujian lebih lanjut diperlukan untuk mengukur performa algoritma pengurutan secara kuantitatif. Pengembangan ke depan dapat menambahkan fitur pembayaran elektronik yang lebih beragam.
SISTEM PELAPORAN KEBAKARAN PINTAR DENGAN DETEKSI LOKASI DAN VALIDASI BUKTI VISUAL OTOMATIS Sanjaya, Anas; Widiono, Suyud
Jusikom : Jurnal Sistem Komputer Musirawas Vol 10 No 2 (2025): Jurnal Sistem Komputer Musirawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v10i2.2771

Abstract

Fire is a disaster that requires a fast, accurate, and integrated reporting system to be managed effectively. However, the manual reporting process often causes delays in information delivery, limited verification, and a lack of visual evidence. This research aims to develop a web- and mobile-based fire reporting application using the Waterfall development method. The application integrates GPS to automatically detect incident locations and includes a visual evidence upload feature to improve reporting accuracy. Black-box testing results show that all features work properly and meet user requirements. The system accelerates the reporting process from approximately 15 minutes to 2 minutes, facilitates report verification, and provides real-time notifications to officers. The findings indicate that this fire reporting application is a practical digital solution to improve fire management efficiency and has strong potential for broader implementatio
Pengembangan Aplikasi Digital UMKM Berbasis Hybrid Development dengan React Native dan Supabase Menggunakan Metode R&D Wisudawan, Ilham; Widiono, Suyud
Jurnal Informatika Universitas Pamulang Vol 10 No 4 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jiup.v10i4.54677

Abstract

Digital transformation has become a key element in enhancing the competitiveness and operational efficiency of Micro, Small, and Medium Enterprises (MSMEs). However, many MSME actors in Sleman, particularly in Minggir District, still face challenges in digitalization, such as low digital literacy, limited motivation and managerial capabilities, uneven network quality, and insufficient organizational readiness. This study aims to develop a digital MSME application based on hybrid development using React Native and Supabase as an efficient and affordable cross-platform solution. The research employed a Research and Development (R&D) method following five main stages: needs analysis, system design, implementation, testing, and evaluation. Testing of the core features—including user authentication, product management, sales transactions, and financial reporting—was conducted through 25 Black Box test cases, achieving a success rate of over 95%. Usability evaluation using the System Usability Scale (SUS) involved 50 MSME respondents, selected through purposive sampling based on business type diversity and digital experience, resulting in an average score of 84.2 (Excellent category), indicating that the application is user-friendly, efficient, and aligned with MSME operational needs. This study provides a practical contribution in the form of a prototype application that supports the digitalization process of MSMEs and a theoretical contribution to the literature on hybrid development based on Backend-as-a-Service (BaaS). The implementation results demonstrate the system’s effectiveness within the Minggir District, Sleman, with potential generalizability for application in other regions with similar conditions and MSME characteristics.
PENGEMBANGAN APLIKASI LAYANAN PERBAIKAN PONSEL BERBASIS MOBILE DENGAN SISTEM MANAJEMEN TEKNISI TERINTEGRASI Rohman, Nur Fathur; Widiono, Suyud
Djtechno: Jurnal Teknologi Informasi Vol 6, No 3 (2025): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i3.7704

Abstract

Aplikasi layanan perbaikan ponsel berbasis mobile dengan sistem manajemen teknisi terintegrasi dirancang sebagai solusi untuk meningkatkan efisiensi dan transparansi layanan home service. Penelitian ini bertujuan mengembangkan aplikasi yang memudahkan pelanggan dalam melakukan pemesanan layanan perbaikan ponsel serta memantau status pesanan secara real-time. Metode penelitian meliputi analisis kebutuhan, perancangan sistem, implementasi aplikasi menggunakan Flutter, integrasi data menggunakan Firebase, serta pengujian menggunakan metode Black Box Testing. Hasil pengujian menunjukkan bahwa aplikasi telah berjalan sesuai kebutuhan fungsional, mencakup pendaftaran pengguna, pemesanan layanan, pelacakan status, dan pemberian ulasan teknisi. Sistem ini diharapkan dapat meningkatkan kualitas pelayanan, mengurangi kesalahan pencatatan manual, dan memberikan pengalaman digital yang lebih efisien bagi pelanggan.
RANCANG BANGUN APLIKASI MANAJEMEN PEMADAM KEBAKARAN BERBASIS MOBILE MENGGUNAKAN TEKNOLOGI JAVA Larasati, Cindy Putri; Widiono, Suyud
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6954

Abstract

Penelitian ini bertujuan merancang dan membangun aplikasi manajemen pemadam kebakaran berbasis mobile menggunakan teknologi Java sebagai solusi untuk meningkatkan kecepatan, akurasi, dan efisiensi pengelolaan informasi kejadian kebakaran. Aplikasi ini dikembangkan melalui tahapan analisis kebutuhan, perancangan antarmuka dan alur sistem, serta implementasi pada perangkat mobile. Fitur utama meliputi pelaporan insiden, manajemen data kejadian, dan tampilan peta lokasi menggunakan integrasi komponen pemetaan. Evaluasi dilakukan melalui survei terhadap 20 responden untuk mengukur ketergunaan, kebermanfaatan, kualitas fitur, dan kepuasan pengguna. Hasil menunjukkan bahwa ketergunaan berada pada kategori sedang, kebermanfaatan dinilai tinggi, kualitas fitur aplikasi berada pada kategori tinggi, dan kepuasan pengguna berada pada kategori sedang. Temuan ini mengindikasikan bahwa aplikasi berbasis Java ini mampu mendukung proses pelaporan serta koordinasi petugas secara lebih terstruktur dan responsif. Penelitian ini menyimpulkan bahwa pengembangan aplikasi mobile dengan teknologi Java memberikan kontribusi praktis dalam peningkatan efektivitas manajemen kejadian kebakaran.
Co-Authors Achmad Nuruddin Safriandono Afwan Anggara Aghaunor, Tabitha Chukwudi Ahmad Tri Hidayat Andy, Fahryza Andy Maulana Anggara, Afwan Budi, Setyo De Rosal Ignatius Moses Setiadi Friwaldi, Restian Dwi Galih, Rahardian Damar Ginting, Hanaya Avy Genina Br Kartikadarma , Etika Larasati, Cindy Putri Latifah, Zelia Nugraha, Havin Neo Dimas Octara Pribadi Ojugo, Arnold Adimabua Pradipta, Rishon Pratama, Wildan Dwi Ramadhan, Reza Pajri Robet Robet Rohman, Nur Fathur Sanjaya, Anas Sarker, Md Kamruzzaman Setyoko, Bimo Haryo Suryana, Rio Putra Sutarman Sutarman Ugbotu, Eferhire Valentine Wisudawan, Ilham