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All Journal JITTER (Jurnal Ilmiah Teknologi Informasi Terapan)
Marwanto Rahmatuloh
Universitas Logistik dan Bisnis Internasional
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Implementasi Algoritma FIFO (First In First Out) Pada Sistem Pergudangan Di Bagian Furniture Production Muhammad Ruslan Maulani; Supriady; Marwanto Rahmatuloh; Indah Triapriliani; Hafidzul Fauzan
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 9 No. 2 (2023)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol9.iss2.2023.1011

Abstract

CV Manis Maqbul Jaya is a Specialist Interior Design company, Furniture Production, Contractor Consultant and Kitchen Set Design. In the warehousing process carried out by CV Manis Maqbul Jaya, they still use the manual method, namely the process of goods entering the warehouse and the process of goods leaving the warehouse by recording using a book. Warehousing is used for the storage of goods, namely raw materials and finished goods (Production). The recording of manual inventory updates causes the accumulation of transaction data for incoming and outgoing goods, due to delays in delivering information from store clerks and production officers to warehouse officers or vice versa. so that the process of releasing goods is carried out not based on storage or expiration dates, resulting in damaged or expired old goods. These problems can be overcome by creating a warehousing application using the FIFO (First in First Out) method, where the first item that enters means that the item is the first one out. The warehouse application is software that functions to record and monitor all activities of goods leaving the warehouse and entering the warehouse in real-time. This application is made on a web-based basis to assist the process of recording inventory updates, accurate goods data can be used as an evaluation of incoming goods as an inventory report, thus facilitating the process of running calculations in inventory recording by paying attention to the quality of wood and the expiration of goods used in the warehousing process.
PENERAPAN KONSEP BIG DATA UNTUK OPTIMALISASI MANAJEMEN ASET DI PT POS INDONESIA Muhammad Ruslan Maulani; Iwan Setiawan; Marwanto Rahmatuloh
Jurnal Ilmiah Teknologi Infomasi Terapan (JITTER) Vol. 10 No. 2 (2024)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol10.iss2.2024.1528

Abstract

Penelitian ini bertujuan untuk menerapkan konsep Big Data dalam rangka mengoptimalkan manajemen aset di PT Pos Indonesia. PT Pos Indonesia perlu mengadopsi teknologi Big Data untuk mengumpulkan, mengelola, dan menganalisis data yang dihasilkan oleh berbagai sumber. Metode penelitian yang digunakan dalam penelitian ini adalah Scrum, sebuah kerangka kerja pengembangan perangkat lunak yang berfokus pada fleksibilitas dan kolaborasi tim. Penelitian ini melibatkan beberapa tahapan. Pertama, dilakukan analisis kebutuhan dan identifikasi aset yang perlu dioptimalkan. Selanjutnya, dilakukan pengumpulan data dari berbagai sumber seperti sistem manajemen aset. Data yang dikumpulkan kemudian diproses dan disimpan dalam infrastruktur Big Data yang sesuai. Selanjutnya, menggunakan metode Scrum, tim peneliti dan stakeholder terlibat dalam proses pengembangan solusi Big Data. Sprint-sprint pendek dilakukan untuk mengimplementasikan dan menguji berbagai komponen sistem, seperti platform pengumpulan data, algoritma analisis, dan visualisasi hasil. Iterasi secara teratur memungkinkan penyesuaian dan perbaikan berkelanjutan sesuai dengan umpan balik yang diberikan oleh tim dan pemangku kepentingan. Hasil dari penelitian ini adalah prototype aplikasi dan penerapan konsep Big Data yang diimplementasikan dalam aplikasi manajemen aset di PT Pos Indonesia. Dengan mengoptimalkan penggunaan data, PT Pos Indonesia dapat meningkatkan efisiensi operasional, memperbaiki pengambilan keputusan berdasarkan analisis data yang lebih akurat.
Co-Authors Hafidzul Fauzan Indah Triapriliani Iwan Setiawan Muhammad Ruslan Maulani Supriady