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Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika
Published by Universitas Ibn Khaldun Bogor
ISSN : 26545535     EISSN : 26545519     DOI : 10.32832/inovatif
Core Subject : Science, Education,
Computer Science & IT Other
Perkembangan ilmu Bidang Teknologi Informasi dan Informatika sudah banyak memberikan manfaat bagi peningkatan efektifitas dan efisiensi dalam berbagai kegiatan berbagai bidang ilmu. Jurnal INOVA-TIF (Inovasi Teknologi Informasi dan Informatika) ialah jurnal yang berisi artikel-artikel ilmiah yang meliputi bidang keilmuan tersebut yang memiliki turunan dalam topik Sistem Informasi, Geo Informatika, Net Centric Computing, dan Rekayasa Perangkat lunak. Jurnal ini dikhususkan untuk mengedepankan teknologi terapan dalamnya. Diharapkan Jurnal INOVA-TIF dapat menjadi sebuah sarana diseminasi hasil penelitian yang berkaitan dengan bidang teknologi Infomasi dan Informatika.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "vol. 8 no. 2 (2025)" : 2 Documents clear
Optimization Of Outgoing Product Selection In A Warehouse Information System Using The First Expired First Out Method Tegar Mallisa; Umar Zaky
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 8 No. 2 (2025)
Publisher : Universitas Ibn Khaldun Bogor

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Abstract

A Bambu Runcing Petshop is a pet shop that provides animal needs such as food, vitamins, and medicines. This store faces obstacles in determining outgoing products, especially products that have an expiration date. The absence of a system that prioritizes issuance based on expiration date risks causing expired products to remain issued. For this reason, a Warehouse Information System was developed using the First Expired First Out (FEFO) method to optimize the determination of outgoing products. System development uses the Waterfall approach with data collected through observation, interviews, and literature studies. The test results show that the application of the FEFO method in the warehouse information system was successfully run with a 100% success rate in 5 test scenarios using the black box method, where the system automatically selects and releases products based on the nearest expiration date. Thus, the warehouse information system is able to support the determination of outgoing products to be more optimal and can reduce the risk of loss due to expired products.
Determening Determining Learning Interest Directions of Students with Special Needs Using the Analytic Hierarchy Process (AHP) and Profile Matching: A Case Study at SLB Bangunputra Bantul: Penentuan Arah Minat Belajar Siswa Berkebutuhan Khusus Menggunakan Analytic Hierarchy Process (AHP) dan Profile Matching: Studi Kasus di SLB Bangunputra Bantul. Anna Kalifia; Sulistyo Dwi Sancoko Sancoko
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 8 No. 2 (2025)
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Determining the appropriate learning interest direction for students with special needs is a challenging process because each student has different characteristics, behaviors, communication patterns, and learning needs. At SLB Bangunputra Bantul, the determination of students’ learning interests still requires teachers to consider various aspects of student characteristics, making the decision process relatively subjective and dependent on the teacher’s experience. This study proposes a decision support approach to assist teachers in determining the learning interest direction of students with special needs by integrating the Analytic Hierarchy Process (AHP) and Profile Matching methods. AHP is applied to determine the relative weights of the assessment criteria, while Profile Matching is used to compare the actual student profile with the ideal profile for each learning interest direction through gap analysis. The criteria considered in the assessment include student behavior, daily activities, communication patterns, eye contact, and responses to situations encountered during learning activities. The combination of these methods provides a structured mechanism for processing student characteristics and generating recommendations for learning interest directions. The resulting decision support system is intended to assist teachers in making more consistent and objective decisions while still considering the individual characteristics of each student. The proposed approach can therefore serve as a supporting tool for teachers in identifying appropriate learning interest directions and facilitating the development of students’ potential according to their individual characteristics.

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