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Performance Evaluation of RESTful API in Sales Target Monitoring System for Direct Sales and Sales Canvassers Suyud Widiono; Restian Dwi Friwaldi; Afwan Anggara
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/

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.

Implementation of Flutter and Firebase in Bamboo Craft Digitalization Application Fajar Jati; Suyud Widiono
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5936

: The bamboo craft industry in Brajan Hamlet, Sleman faces significant operational constraints due to continued reliance on manual recording systems, resulting in inefficiency, data duplication, and reporting difficulties. This study develops a web-based digitalization application using Flutter and Firebase to enhance business management efficiency in bamboo craft enterprises. The Research and Development (R&D) method was employed through the Waterfall model across four stages: requirements analysis, system design, implementation, and testing. Data collection involved structured interviews with 6 bamboo craft business operators, 4-week field observations, and literature review. The developed application integrates product management, inventory, transactions, customer relations, and sales reporting features through Backend-as-a-Service (BaaS) architecture utilizing Firebase Authentication, Cloud Firestore, and Firebase Storage. Black Box Testing results demonstrated a 96% functional success rate with an average response time of 1.2 seconds for CRUD operations. User Acceptance Testing with 6 respondents yielded a satisfaction score of 4.3/5 and revealed a 65% reduction in transaction recording time compared to manual methods. However, evaluation identified critical weaknesses in automatic stock synchronization post-transaction, necessitating Firebase Cloud Functions or Firestore Triggers implementation to ensure real-time data consistency. This study offers practical solutions through integrated digitalization for local craft MSMEs while academically demonstrating the effectiveness of Flutter-Firebase integration in developing web-based business management applications, with recognized limitations in business process automation requiring further development.

Integrating Hybrid Statistical and Unsupervised LSTM-Guided Feature Extraction for Breast Cancer Detection De Rosal Ignatius Moses Setiadi; Arnold Adimabua Ojugo; Octara Pribadi; Etika Kartikadarma; Bimo Haryo Setyoko; Suyud Widiono; Robet Robet; Tabitha Chukwudi Aghaunor; Eferhire Valentine Ugbotu
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

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.

PENGEMBANGAN APLIKASI MARKETPLACE INFLUENCER SEBAGAI MEDIA PROMOSI UMKM Chabelita ananda Putri; Suyud Widiono
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.6899

The endorsement strategy is an effective digital marketing method for expanding reach and increasing consumer trust. However, this practice is still dominated by large brands collaborating with well-known influencers, thus limiting access to affordable promotions for Micro, Small, and Medium Enterprises (MSMEs). On the other hand, micro-influencers with smaller audiences lack a structured, professional platform for collaborating with MSMEs. This study aims to develop a mobile-based influencer marketplace application that facilitates integrated collaboration between MSMEs and influencers. The development method used is the Waterfall method, which includes needs analysis, system design, implementation, testing, and maintenance. The mobile application was developed to support MSMEs in delivering products, receiving influencer offers, and placing endorsement orders through a digital transaction system. The development results show that the developed marketplace application provides paid endorsement features as well as additional free endorsement features (product barter), enabling more flexible, transparent, and mutually beneficial collaborations. Therefore, this application has the potential to be an initial solution in expanding digital promotion opportunities for MSMEs and supporting more inclusive collaboration with micro-influencers.

PENGEMBANGAN APLIKASI PEMESANAN MAKANAN BERBASIS ANDROID DENGAN ALGORITMA BUBBLE SORT Reza Pajri Ramadhan; Suyud Widiono
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

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.

RANCANG BANGUN APLIKASI MANAJEMEN PEMADAM KEBAKARAN BERBASIS MOBILE MENGGUNAKAN TEKNOLOGI JAVA Cindy Putri Larasati; Suyud Widiono
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

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.

PENGEMBANGAN APLIKASI LEMARI PAKAIAN BERBASIS MOBILE DENGAN KONSEP CAPSULE WARDROBE Zelia Latifah; Suyud Widiono
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6971

Penelitian ini bertujuan untuk mengembangkan aplikasi Capsule Wardrobe berbasis mobile guna membantu pengguna dalam mengelola pakaian secara efisien dan berkelanjutan. Aplikasi ini mengintegrasikan prinsip minimalisme dalam fashion, memungkinkan pengguna merencanakan kombinasi pakaian untuk meminimalkan pembelian pakaian berlebihan. Aplikasi ini dibangun menggunakan framework Flutter untuk pengembangan lintas platform yang responsif dan Firebase sebagai backend untuk mengelola data real-time. Fitur utamanya mencakup manajemen inventaris pakaian, saran pakaian harian berdasarkan preferensi dan konsep capsule wardrobe, serta pelacakan riwayat pemakaian melalui kalender. Hasil penelitian menunjukkan aplikasi ini berpotensi besar dalam mengoptimalkan penggunaan pakaian melalui teknologi, meningkatkan efisiensi pengguna dalam memilih pakaian, serta mendukung keberlanjutan mode dengan mengurangi dampak lingkungan dari konsumsi pakaian yang berlebihan.

Implementation of Flutter and Firebase in Bamboo Craft Digitalization Application Fajar Jati; Suyud Widiono
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5936

: The bamboo craft industry in Brajan Hamlet, Sleman faces significant operational constraints due to continued reliance on manual recording systems, resulting in inefficiency, data duplication, and reporting difficulties. This study develops a web-based digitalization application using Flutter and Firebase to enhance business management efficiency in bamboo craft enterprises. The Research and Development (R&D) method was employed through the Waterfall model across four stages: requirements analysis, system design, implementation, and testing. Data collection involved structured interviews with 6 bamboo craft business operators, 4-week field observations, and literature review. The developed application integrates product management, inventory, transactions, customer relations, and sales reporting features through Backend-as-a-Service (BaaS) architecture utilizing Firebase Authentication, Cloud Firestore, and Firebase Storage. Black Box Testing results demonstrated a 96% functional success rate with an average response time of 1.2 seconds for CRUD operations. User Acceptance Testing with 6 respondents yielded a satisfaction score of 4.3/5 and revealed a 65% reduction in transaction recording time compared to manual methods. However, evaluation identified critical weaknesses in automatic stock synchronization post-transaction, necessitating Firebase Cloud Functions or Firestore Triggers implementation to ensure real-time data consistency. This study offers practical solutions through integrated digitalization for local craft MSMEs while academically demonstrating the effectiveness of Flutter-Firebase integration in developing web-based business management applications, with recognized limitations in business process automation requiring further development.

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