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Arie Vatresia
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INDONESIA
Rekursif: Jurnal Informatika
Published by Universitas Bengkulu
ISSN : 23030755     EISSN : 27770427     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Rekursif adalah jurnal ilmiah yang diterbitkan oleh Program Studi Informatika, Fakultas Teknik, Universitas Bengkulu. Rekursif menerima artikel ilmiah dengan topik; Informatika, Sistem Informasi, dan Teknologi Informasi dari peneliti, dosen, guru, dan mahasiswa. Rekursif diterbitakan secara berkala setiap bulan Maret dan November berdasarkan hasil peer-reviewed. ISSN 2303-0755
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol 12 No 1 (2024): Volume 12 Nomor 1 Maret 2024" : 5 Documents clear
Sistem Pendukung Keputusan Pemilihan Tanaman Hortikultura Berdasarkan Karakteristik Lahan Menggunakan Metode Moora (Studi Kasus: Kabupaten Kepahiang) Coastera, Funny Farady; Sari, Julia Purnama; Pasaribu, Bryan
Rekursif: Jurnal Informatika Vol 12 No 1 (2024): Volume 12 Nomor 1 Maret 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i1.32860

Abstract

Indonesia is an agricultural country where almost all of its population works in the agricultural sector. Horticulture is one of the subsectors in agriculture that studies the cultivation of crops such as vegetables, fruits, medicinal plants and ornamental plants. Areas in Bengkulu Province, especially Kepahiang Regency, have people who are mostly farmers. The suitability of land with crops to be planted has an important role in increasing crop productivity. Of course, this method will not get maximum results. This encourages researchers to build a system that can provide decision assistance for farmers and communities in determining suitable crops for planting on a land in the Kepahiang Regency area. This decision support system was created using the MOORA method which consists of 17 land criteria and 35 horticultural crops. This system produces output in the form of ranking horticultural crops that are suitable for planting. The functionality testing process of this expert system went well using black box testing and resulted in 100% functional success. Evaluation of the accuracy of the MOORA method for ranking horticultural plants based on land characteristics resulted in an accuracy rate of 75%. Keywords: Horticulture, Decision Support System, MOORA Method, Land Characteristics.
Aplikasi Sistem Pakar Diagnosis Specific Learning Disability Menggunakan Metode Naïve Bayes Berbasis Game Andreswari, Desi; Coastera, Funny Farady; Tiara Sella, Miranda
Rekursif: Jurnal Informatika Vol 12 No 1 (2024): Volume 12 Nomor 1 Maret 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i1.32890

Abstract

This research aims to develop a game-based expert system application for the diagnosis of Specific Learning Disability (SLD) using the Naïve Bayes method. SLD is a learning disorder that affects an individual’s academic skills in one or more areas, such as reading, writing,or mathematics. In effort to enchance the efficiency of SLD diagnosis, this application utilizes the Naïve Bayes method, a classification technique based on probability. The application is designed in the form of an interactive game to capture the user’s attention, particularly children who may be experiencing SLD. By combining gaming elements with the diagnostic process, it expected that users can be more engaged in the evaluation without compromising the educational aspect. The Naïve Bayes method is employed to generate diagnostic predictions based on information input by the user through a series of questions and tasks integrated into game. This research was conducted by testing 15 test data, and resulted in a system accuracy of 100%. Thus, this application can serve as a tool for early identification of SLD in children. It is anticipated that the development of this application can make a positive contribution to the field of education, particularly in supporting the identification and intervention processes for individuals experiencing SLD.
Rancang Bangun Sistem E-Raport di MAN 2 Kota Bengkulu Berbasis Website Gita Fitria, Nabila; Oktoeberza, Widhia KZ
Rekursif: Jurnal Informatika Vol 12 No 1 (2024): Volume 12 Nomor 1 Maret 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i1.33690

Abstract

MAN 2 Bengkulu City still collects and processes daily student assessment data manually. The teacher records the test scores on paper and then processes them in Excel. This manual process results in less efficient assessments due to potential errors and data loss. To overcome this problem, it is necessary to have a website-based e-report system at MAN 2 Bengkulu. This system is intended to benefit teachers in processing grades effectively and efficiently until the final output is obtained in the form of a report. The system is designed using the PHP programming language, Laravel framework, and MySQL as the database. System development follows the waterfall method and uses data collection methods to be used as research material. Furthermore, the system was tested using black box testing and a percentage of 100% was obtained, which indicated that the system was very effective to use
Optimalisasi Rekam Medis Kesehatan: Pengembangan Sistem Informasi Siredi Berbasis Website dengan Framework Laravel Putri, Tiara Eka; Apriyandi, Dedek Tegar; Ariani, Selvia
Rekursif: Jurnal Informatika Vol 12 No 1 (2024): Volume 12 Nomor 1 Maret 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i1.33720

Abstract

The Medical Record Information System (SIREDI) is an innovative solution for managing medical data within the healthcare environment. In the development context of SIREDI, using the Laravel framework plays a crucial role in enhancing the efficiency, security, and accessibility of medical information. Previous research has highlighted the integration of medical record information systems with cloud technology, user requirement analysis, and usability evaluation. By focusing on integrating modern technology, improving usability, and effective data management, the development of SIREDI aims to provide the best and sustainable solution for managing medical records in the Indonesian healthcare setting. It is hoped that SIREDI will serve as an inspirational example, providing significant benefits to the healthcare industry in the future.
Sistem Pakar Untuk Mendiagnosa Penyakit Bakteri Pada Ayam Petelur Menggunakan Metode Variable Centered Intelligent Rule System (VCIRS) dan Certainty Factor Berbasis Website (Studi Kasus: Peternakan Ayam Petelur Di Tahura) Andreswari, Desi; Suteky, Tatik; Winda P, Desi Ade
Rekursif: Jurnal Informatika Vol 12 No 1 (2024): Volume 12 Nomor 1 Maret 2024
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v12i1.33933

Abstract

Laying chickens are a type of poultry that is in demand by the public. One of the commodities currently being developed in Indonesia is poultry because the eggs produced are very much in demand by the Indonesian people. However, to achieve egg production and produce good eggs and make quite a large profit, farmers must pay attention to health and take good care of laying hens so that they are not susceptible to disease. There are several types of diseases that attack laying hens, one of which is a type of bacteria that causes many chickens to die and egg production decreases. Therefore, we need a system that can diagnose bacterial diseases in laying hens by applying the web-based Variable-Centered Intelligent Rule System and Certainty Factor methods, so that this system can help breeders solve problems without having to meet with experts directly. Test results from 25 test data carried out, this system is able to diagnose bacterial diseases correctly with an accuracy value of 92%. It can be concluded that this system can diagnose bacterial diseases in laying hens well. Keywords: Laying Chickens, Disease, Variable-Centered Intelligent Rule System, Certainty Factor, Expert System.

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