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All Journal Rekursif: Jurnal Informatika Jurnal Pseudocode Darmabakti: Jurnal Inovasi Pengabdian dalam Penerbangan Jurnal Pendidikan Teknologi Informasi dan Komunikasi
Funny Farady Coastera, Funny Farady
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Transportation Other

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Journal : Rekursif: Jurnal Informatika

 1 
Penerapan Konsep Gamifikasi Pada Pembelajaran Merangkai Kata dan Kalimat Aksara Kaganga Rejang Berbasis Android (Studi Kasus: SDN 17 Rejang Lebong) Andreswari, Desi; Coastera, Funny Farady; Juwita, Fatma
Rekursif: Jurnal Informatika Vol 11 No 2 (2023): Volume 11 Nomor 2 November 2023
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v11i2.30245

Abstract

Abstract: The Ulu script (Kaganga) is one of the heritage scripts in the Southern (coastal) Sumatra region. There are several types of this script, namely Kaganga Rejang, Kaganga Lampung, Kaganga Serawai, Kaganga Pasemah and Kaganga Palembang. In Rejang Lebong, efforts are made to preserve and study Kaganga Rejang in schools as a Local Content subject. However, the lack of interest and low motivation to learn is a factor in hindering the learning process in students. Gamification is the application of concepts by incorporating game elements into non-game problems that have been proven to increase user motivation and retention. Therefore, there is a need for an application for learning the Kaganga Rejang script with a gamification concept that can help students in the learning process. The test results using the SUS (System Usability Scale) method are grade scale "B" and adjective "Excellent" with a score of 70 for material experts and 70.71 for students. Keywords: Kaganga Rejang, Gamification, Android, Application, Game.
Implementasi Metode Certainty Factor Dalam Sistem Pakar Diagnosis Awal Tanda Bahaya Gangguan Menstruasi Andreswari, Desi; Erlansari, Aan; Coastera, Funny Farady; Hasian Lumbanraja, Joi Pebrianty
Rekursif: Jurnal Informatika Vol 11 No 2 (2023): Volume 11 Nomor 2 November 2023
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/rekursif.v11i2.30654

Abstract

Menstrual disorders are disorders that occur in the menstrual cycle including changes that occur in the cycle, blood count, and other changes related to the menstrual cycle. Most women do not feel symptoms at the time of menstruation, but a small percentage feel pain. Menstrual disorders or also called abnormal uterine bleeding is a complaint that often causes a woman to come to the doctor for immediate treatment. Complaints of menstrual disorders vary from mild to severe. To help overcome these obstacles, expert systems can be a solution. This expert system was created using the certainty factor method consisting of 46 symptoms with 12 types of diseases. This system produces output in the form of a percentage of the type of possible diagnosis of the disease experienced by the user and suggestions based on the symptoms experienced by the user. 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 certainty factor method for diagnosing menstrual disorders resulted in an accuracy rate of 84.61%. Keywords: Menstruation, Menstrual disorders, Certainty Factor, Expert System, Diagnosis
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.
Co-Authors Aan Erlansari Azaharah, Diyah Ishita Desi Andreswari Eko Risdianto Hasian Lumbanraja, Joi Pebrianty Julia Purnama Sari Juwita, Fatma Mayub, Afrizal Pasaribu, Bryan Rima Yanti Nasution, Nofa Tiara Sella, Miranda