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SISTEM RENTAL ALAT OUTDOOR BERBASIS WEB MENGGUNAKAN ALGORITMA FIFO (FIRST IN FIRST OUT) SALMAN AL FARISI; Alam; De Ali Farizal
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 13 No. 2 (2026): Prosisko Vol. 13 No. 2 Juli 2026
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/gs2pf377

Abstract

Abstrak - Perkembangan teknologi informasi mendorong usaha rental alat outdoor meningkatkan pelayanan melalui sistem berbasis web. Semar Outdoor masih menggunakan pencatatan manual dalam proses penyewaan, pengembalian, dan pengelolaan stok sehingga menimbulkan kesalahan pencatatan dan keterlambatan laporan. Penelitian ini bertujuan merancang sistem rental alat outdoor berbasis web menggunakan metode Waterfall dan algoritma FIFO (First In First Out). Sistem dikembangkan menggunakan PHP dan MySQL, sedangkan pengumpulan data dilakukan melalui observasi, wawancara, dan studi literatur. Pengujian sistem menggunakan Black Box Testing. Hasil penelitian menunjukkan bahwa sistem mampu membantu pengelolaan transaksi, pengembalian, dan monitoring inventaris secara lebih efektif dan efisien. Penerapan algoritma FIFO juga membantu mengatur antrian penyewaan berdasarkan urutan pemesanan pelanggan. Kata Kunci: Sistem Rental, Website, Waterfall, FIFO, Alat Outdoor.
Pengembangan Sistem Manajemen Dan Monitoring Data Siswa Berbasis Website Pada MTS Cipasung Menggunakan Metode Waterfall Irma Wati Ita; Alam
Jurnal Kolaboratif Sains (Special Issue) - Jurnal Kolaboratif Sains (JKS) - Agustus 2026
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v9i8.11791

Abstract

Perkembangan teknologi informasi mendorong institusi pendidikan untuk meningkatkan efektivitas pengelolaan data dan proses administrasi sekolah. Pada MTS Cipasung, pengelolaan data siswa masih dilakukan secara manual sehingga menyebabkan proses pencatatan, pencarian, serta monitoring data siswa menjadi kurang efisien dan rentan terhadap kesalahan. Penelitian ini bertujuan untuk mengembangkan sistem manajemen dan monitoring data siswa berbasis website yang dapat membantu pihak sekolah dalam mengelola data siswa secara lebih efektif, akurat, dan terintegrasi. Metode pengembangan sistem yang digunakan dalam penelitian ini adalah metode Waterfall yang terdiri dari tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem dibangun menggunakan teknologi berbasis web sehingga dapat diakses dengan mudah oleh pihak administrasi dan guru melalui jaringan internet maupun intranet sekolah. Fitur utama pada sistem meliputi pengelolaan data siswa, data kelas, absensi, nilai siswa, serta monitoring perkembangan akademik siswa secara real-time. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu meningkatkan efisiensi dalam proses pengelolaan data siswa, mempermudah pencarian informasi, serta meminimalkan kesalahan dalam pencatatan data. Selain itu, sistem ini juga memberikan kemudahan bagi pihak sekolah dalam melakukan monitoring perkembangan siswa secara lebih cepat dan terstruktur, pengembangan sistem manajemen dan monitoring data siswa berbasis website pada MTS Cipasung diharapkan dapat mendukung peningkatan kualitas pelayanan administrasi sekolah dan pengambilan keputusan yang lebih tepat
Data Augmentation Strategies on Spectrogram Features for Infant Cry Classification Using Convolutional Neural Networks Alam Alam; Nuk Ghurroh Setyoningrum; Robby Maududy; Dea Dewi Damayanti; Hilmi Rahmawati
Innovation in Research of Informatics (Innovatics) Vol 7, No 2 (2025): September 2025
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v7i2.16823

Abstract

Infant cry classification is an important task to support parents and healthcare professionals in understanding infants needs, yet the challenge of limited and imbalanced datasets often reduces model accuracy and generalization. This study proposes the application of diverse audio data augmentation strategies including time stretching, time shifting, pitch scaling, and polarity inversion combined with spectrogram representation to enhance Convolutional Neural Network (CNN) performance in classifying infant cries. The dataset from the Donate-a-Cry Corpus was expanded from 457 to 6,855 samples through augmentation, improving class balance and variability. Experimental results show that CNN accuracy increased from 85% before augmentation to 99.85% after augmentation, with precision, recall, and F1-score reaching near-perfect values across all categories. The confusion matrix further confirms robust classification with minimal misclassifications. These findings demonstrate that data augmentation is crucial to overcoming dataset limitations, enriching acoustic feature diversity, and reducing model bias, while offering practical implications for the development of accurate, reliable, and real-world applicable infant cry detection systems.
Sistem Informasi Inventory Barang Berbasis Web Menggunakan Metode Agile Scrum Studi Kasus di Café Ragam Ide Muhammad Mulyadi; Alam .
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.56

Abstract

Inventory management is one of the important aspects in supporting the smooth operation of a business. However, Café Ragam Ide still manages its inventory manually, which often causes various problems, such as data recording errors, delays in updating stock information, and difficulties in monitoring inventory in real time. These conditions may lead to discrepancies between recorded stock data and actual inventory levels, potentially disrupting business operations. This study aims to design and develop a web-based inventory information system to improve the effectiveness and efficiency of inventory management at Café Ragam Ide. The research employed the Agile Scrum methodology due to its flexible and iterative approach, enabling the system to adapt to user requirements throughout the development process. The research stages included problem identification, data collection through observation, interviews, and literature studies, system design, system implementation, and system testing. The system was developed using the Laravel framework and MySQL database. Black Box Testing was utilized as the testing technique to ensure that all system functions operated according to user requirements. The results indicate that the web-based inventory information system was successfully designed and implemented. The system is capable of supporting inventory data management, goods receipt and issuance transactions, stock monitoring, and inventory reporting in a more effective and integrated manner. Furthermore, the Black Box Testing results demonstrate that all system features function properly and meet the operational requirements of users.