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Sistem Rekomendasi Berbasis Genetic Algorithm: Studi Kasus Pembelian Komponen Komputer dan Aksesorisnya Abdul Kholik; Erwin Eko Wahyudi; Kristiawan Devianto; Nabila Sholihah; Yaqutina Marjani Santosa; Wahyono Wahyono
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2018
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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

Abstract

Pembelian komponen komponen komputer dan aksesorisnya merupakan salah satu permasalahan optimasi, yaitu menentukan pembelian secara online atau offline agar pembelian lebih optimal dan efisien. Dalam penelitian ini, algoritma genetika akan digunakan untuk pemecahan masalah optimasi pembelian komponen komputer dan aksesorisnya. Tujuan dari penelitian ini adalah penggunaan algoritma genetika sebagai sistem rekomendasi untuk menentukan total harga minimal serta jalur yang paling optimal dalam pembelian komponen komputer di 12 toko, terdiri dari 6 toko offline dan 6 toko online. Representasi kromosom menggunakan gabungan antara pengkodean biner dan pengkodean bilangan bulat. Selanjutnya, proses seleksi parents menggunakan metode roulette wheel, proses crossover menggunakan metode uniform crossover, proses mutasi dilakukan secara random, dan proses seleksi survivor menggunakan metode best selection. Pengujian dilakukan menggunakan iterasi 10 sampai 100 dengan interval 10 kali, dan didapatkan nilai total biaya minimal adalah Rp. 18.811.000,-
An Expert System of Chicken Disease Diagnosis by Using Dempster Shafer Method Yaqutina Marjani Santosa; Suprapto Suprapto; Wahyono Wahyono
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 14, No 3 (2020): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.55632

Abstract

 Chicken is an animal that can provide many benefits for human life, meat and eggs can be used as food to fulfill the needs of human food, the excrement can be made fertilizer, and frequently its be used as a farm animal. Although it can provide many benefits, but for chicken farmers, the maintenance of chicken meet some obstacles that must be faced such as disease, poor environmental sanitation, and the production of eggs are declining. From some of the obstacles that have been mentioned, the most frequently encountered are animals infected with the disease. Based on the results of interviews that have been done to some chicken farmers, it can be said that the knowledge of chicken farmers against chicken disease and its handling is still very lacking. But the number of experts who understand and know about the type of chicken disease and the way of handling is limited, then it takes an expert system that can simulate knowledge and understanding of experts to overcome the problem. Based on the study of the libraries, the method suitable for use in the expert system is the Dempster shafer method by processing the value of belief in a disease. Dempster shafer method is a method used to calculate uncertainty due to the addition or reduction of new facts that will change the existing rules. Based on tests in 40 cases using an expert system applying the Dempster Shafer method, obtained the percentage of diagnostic compatibility result given by experts and system is 95%.
DIAGNOSIS SYSTEM IN CHICKEN DISEASE USING FORWARD CHAINING METHOD Annisaa Utami; Faisal Dharma Adhinata; Yaqutina Marjani Santosa
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.179

Abstract

Chickens are animals that are mostly kept by the community both on a large and small scale traditionally. Because the population is large, the disease is also more complex, from mild disease to diseases that can be transmitted to humans so that it can cause death such as bird flu. Diseases in chickens such as Newcastle Disease (ND), Infectious Bronchitis (IB), Gumboro Disease and Flu. Problems about chicken disease faced requires a system to help in diagnosing diseases in chickens. Expert system is a system in which a variety of knowledge comes from an expert so that users can consult. Forward Chaining method is a method of searching or forward-looking where tracking begins with information that da and combine rules to produce an expected conclusion or goal. The study used 9 disease data, 34 symptom data and 20 cases of chicken disease. The results of the accuracy test get a value of 90%. The purpose of this study is: diagnosing chicken disease as a first step to applying artificial intelligence in the medical world, designing and applying systems. Based on the data, it can be concluded that the protythepe expert system by implementing the Forward Chaining Method can help farmers and chicken owners in diagnosing chicken diseases.
Implementasi Metode Analytic Hierarchy Process (AHP) dalam Sistem Rekomendasi Mitigasi Bencana Alam Nugraha, Nur Budi; Santosa, Yaqutina Marjani; Puspaningrum, Alifia; Saiful, Ibnu
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5626

Abstract

Flood disasters are a serious threat faced by various regions in Indonesia, including Indramayu Regency, West Java, as one of the most vulnerable areas. The geographical characteristics of Indramayu, which are dominated by lowlands and surrounded by large rivers such as Cimanuk and Cipunagara, cause this area to experience annual flooding, especially during the rainy season. The impact of this disaster extends from material losses to significant social and economic disruption for local communities. This research aims to develop an effective and targeted flood disaster mitigation recommendation system. Using a quantitative approach, this study focuses on developing a system based on the Analytical Hierarchy Process (AHP) method. The research methodology includes several key stages. First, identify and determine criteria and sub-criteria that are relevant to flood disaster mitigation. Second, weighting criteria using pairwise comparisons. Third, consistency calculations to ensure the validity of the assessment. Finally, the construction of a decision hierarchy that integrates all analysis elements. The results of the AHP analysis are then integrated into a system specifically designed to support decision making in disaster mitigation. The system combines geographic, demographic and historical disaster data to provide comprehensive and contextual recommendations. The system being developed is expected to facilitate several key aspects of disaster management in terms of quick and effective decision making by the authorities, increasing public awareness and knowledge about disaster management and understanding disaster distribution patterns.
Implementation of Finite State Machine Algorithm for Interactive Physics Learning in a 3D Game Nugraha, Nur Budi; Santosa, Yaqutina Marjani; Mulyani, Esti
Journal of Applied Informatics and Computing Vol. 7 No. 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.6738

Abstract

Physics is a subject taught in high schools as per the established curriculum. Teachers often employ traditional teaching methods where students study independently without active participation, leading to boredom and reduced enthusiasm for learning. Physics is frequently perceived as difficult and perplexing by most students, and the utilization of 3D games as a learning tool can help overcome these challenges. This research aims to integrate the Finite State Machine (FSM) algorithm into a 3D game to create a more effective and engaging learning experience for students. The study employs the waterfall method in application development, encompassing stages such as needs analysis, application design, FSM implementation in games, and game testing and evaluation. 3D physics games have been successfully developed and tested for their feasibility. This game serves as an effective means of entertainment and learning, aiding students in enhancing their understanding of physics subjects. According to the results of a questionnaire with 50 respondents, it is evident that this 3D game is quite user-friendly (90%) and possesses a very good user interface (89%). Approximately 78% of respondents stated that their experience in using the game was very good. Moreover, 82% of respondents found that this educational physics game was highly beneficial for learning physics material.
PENGEMBANGAN GAMES EDUKASI FISIKA BERBASIS ANDROID SEBAGAI MEDIA PEMBELAJARAN FISIKA Nur Budi Nugraha; Yaqutina Marjani Santosa; Esti Mulyani
Prosiding Seminar SeNTIK Vol. 7 No. 1 (2023): Prosiding SeNTIK 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

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Abstract

Fisika merupakan salah satu mata pelajaran yang diajarkan di jenjang SMA sesuai dengan standar kurikulum yang terdapat 11 bab yang diajarkan, dimana tiga diantaranya adalah fluida statis, gerak parabola dan fluida dinamis. Berdasarkan hasil wawancara yang dilakukan dengan guru mata pelajaran fisika, metode pembelajaran yang digunakan guru dalam proses belajar masih menggunakan metode konvensional, sehingga membuat siswa kesulitan memahami konsep yang diajarkan dengan baik. Guru sering sekali menerapkan pembelajaran yang bersifat konvensional di mana siswa belajar secara individu dan tidak terlibat aktif dalam pembelajaran yang mengakibatkan siswa merasa bosan dan kurang termotivasi dalam belajar. Penelitian ini membuat sebuah game edukasi yang bernama “phygames”. Penelitian ini menggunakan metode waterfall dan secara umum memiliki beberapa tahapan dalam pelaksanaannya, meliputi: identifikasi masalah dan kebutuhan, analisis dan perencanaan, pengembangan sistem, uji coba dan evaluasi. Hasil penelitian game edukasi fisika telah berhasil dibuat dan diuji kelayakannya. Dari hasil kuesioner diketahui bahwa game edukasi ini cukup mudah digunakan (85%) dan memiliki user interface yang sangat baik (95%). Sekitar 78% responden juga menyatakan bahwa pengalaman yang dirasakan dalam menggunakan game adalah sangat baik. Sebanyak 82% responden menyatakan game edukasi fisika ini sangat membantu dalam mempelajari materi fisika tentang fluida statis, gerak parabola dan fluida dinamis
Detection of Nutritional Status using K-Nearest Neighbors on a Mobile Based Platform Puspaningrum, Alifia; Santosa, Yaqutina Marjani; Nugraha, Nur Budi
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp185-190

Abstract

In recent decades, health issues related to nutritional status have become a major concern for the Indonesian government. Malnutrition or overnutrition can severely impact individual health, especially in children and adolescents. If left unaddressed, these issues can lead to various diseases, ranging from malnutrition to obesity and their associated complications. Despite the recognized importance of monitoring nutritional status, several challenges remain. Manual monitoring systems require significant time and resources. Moreover, access to healthcare services and qualified medical personnel for regular nutritional assessments is limited, particularly in remote or underserved areas. Indonesia’s geographical complexity, consisting of thousands of islands, further complicates the equitable distribution of healthcare services. As a result, many cases of malnutrition or overnutrition go undetected early, causing delayed interventions. This research proposes the development of a K-NN-based mobile application to detect nutritional status. The application provides an initial diagnosis based on the user's physical parameters, such as weight, height, age, and gender. The dataset includes 120,999 samples, with 70% used for training and 30% for testing. Implementation of K-NN with k=7 achieved an accuracy of 91% on the test data, with the best performance in the normal category (F1-score 0.950), followed by stunted (0.889) and severely stunted (0.863). This platform has the potential to contribute to sustainable health systems, particularly in low-resource settings, by reducing reliance on energy-intensive infrastructure and minimizing the need for long-distance travel for healthcare. It could also support public health initiatives by enabling efficient large-scale population monitoring and reducing the environmental impact of traditional health services.
A Novel Approach to Digital Image Security: Merging Cryptography and Steganography via LSB+TWO Technique Nugraha, Nur Budi; Santosa, Yaqutina Marjani
JURNAL INFOTEL Vol 17 No 3 (2025): August
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i3.1338

Abstract

The increasingly rapid development of the digital era has resulted in information security becoming a crucial aspect in communication and data exchange. Digital images as a medium commonly used to store and transmit information are the main target in developing data security techniques. As the volume and sensitivity of information exchanged via digital images increases, the need for more sophisticated security mechanisms becomes increasingly pressing. This research combines cryptography and steganography using the LSB+TWO method. We integrate 256-bit AES in CBC mode for initial encryption, followed by improved LSB steganography techniques and a modified TWO algorithm. This method was tested on various datasets consisting of 1000 digital images with various resolutions. The results demonstrate significant improvements in the security and robustness of steganalysis compared to conventional methods, while maintaining high visual quality measured by PSNR and competitive embedding capacity. This research makes a significant contribution to the field of digital information security and paves the way for further development in image-based data protection techniques.
Desain Prototipe Game Edukasi Mitigasi Banjir melalui Pemilahan Sampah Menggunakan Metode Rapid Application Development (RAD) Nugraha, Nur Budi; Santosa, Yaqutina Marjani; Puspaningrum, Alifia
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2100

Abstract

Banjir merupakan salah satu bencana hidrometeorologi yang paling sering terjadi di wilayah perkotaan maupun pedesaan di Indonesia. Faktor utama yang memperparah kejadian banjir bukan hanya curah hujan tinggi, melainkan juga pengelolaan sampah yang kurang optimal, terutama pembuangan sampah sembarangan ke sungai dan saluran drainase. Permasalahan ini menuntut adanya inovasi media edukasi yang mampu meningkatkan kesadaran masyarakat, khususnya generasi muda, terhadap pentingnya pemilahan sampah sebagai bagian dari upaya mitigasi banjir. Penelitian ini bertujuan untuk mengembangkan sebuah prototipe game edukasi mitigasi banjir berbasis web dengan menggunakan pendekatan Rapid Application Development (RAD). Metode RAD dipilih karena memungkinkan proses pengembangan yang cepat, iteratif, dan melibatkan pengguna secara aktif melalui tahapan perencanaan, analisis kebutuhan, desain, serta implementasi awal dalam bentuk prototipe. Validasi dilakukan oleh tiga ahli media dari bidang informatika dan lima ahli materi dari Dinas Lingkungan Hidup Kabupaten Indramayu. Hasil validasi ahli media memperoleh skor rata-rata 83,3% dengan kategori sangat baik, meskipun masih terdapat masukan terkait kesederhanaan visual antarmuka. Sementara itu, validasi ahli materi menghasilkan skor rata-rata 83,0% dengan kategori sangat baik, dengan rekomendasi penambahan narasi mengenai konsekuensi jangka panjang pengelolaan sampah terhadap lingkungan. Uji coba terbatas terhadap pengguna menunjukkan tingkat kepuasan rata-rata 84,3%, menandakan bahwa prototipe game diterima secara positif. Dengan demikian, dapat disimpulkan bahwa game edukasi ini telah layak secara konsep dan konten edukatif, meskipun masih memerlukan penyempurnaan pada aspek visualisasi antarmuka dan fitur interaktif agar dapat diimplementasikan secara lebih luas dalam konteks pendidikan dan sosialisasi lingkungan.
Document Generation untuk Chatbot Berbasis Aturan dengan Pendekatan Template Method Ishlakhuddin, Fauzan; Santosa, Yaqutina Marjani; Nugraha, Nur Budi
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 3 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i3.5098

Abstract

The world of education has an important role in the development of a country, innovations and initiatives that support educational activities are needed to support these activities. One of the innovations in the world of education is the convenience of students to access the results (development) of their lectures from anywhere. Chatbot has convenience in terms of service, because using a chatbot can make it easier to spread data. Provision of accurate and relevant data in real time is also needed so that the deployment will be faster and easier. Document generation is a method that can be used to create lecture-related files in real time, quickly and accurately. From the test results it was found that the files created were accurate and relevant to the SIAKAD system that had been used.The world of education has an important role in the development of a country, innovations and initiatives that support educational activities are needed to support these activities. One of the innovations in the world of education is the convenience of students to access the results (development) of their lectures from anywhere. Chatbot has convenience in terms of service, because using a chatbot can make it easier to spread data. Provision of accurate and relevant data in real time is also needed so that the deployment will be faster and easier. Document generation is a method that can be used to create lecture-related files in real time, quickly and accurately. From the test results it was found that the files created were accurate and relevant to the SIAKAD system that had been used.