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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JURNAL SISTEM INFORMASI BISNIS JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Computer System and Informatics (JoSYC) Jurnal Teknik Informatika (JUTIF) Jurnal Algoritma Industrial Research Workshop and National Seminar Journal of Artificial Intelligence and Digital Business Journal of Informatics and Computing Jurnal Pengabdian kepada Masyarakat (Nadimas) Jurnal INFOTEL Jurnal Informatika: Jurnal Pengembangan IT Journal of Computer Science Contributions (Jucosco) Prosiding SeNTIK STI&K
Yaqutina Marjani Santosa
Politeknik Negeri Indramayu
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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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.
Rancang Bangun Sistem Pencatatan dan Pelaporan Terpadu (SIPETER) pada Puskesmas Cantigi Yaqutina Marjani Santosa; Nur Budi Nugraha; Alifia Puspaningrum; Ananta Padma Kusuma; Cepri Damiri; Muhammad Saka Fathurrahman
Prosiding Industrial Research Workshop and National Seminar Vol. 15 No. 1 (2024): Prosiding 15th Industrial Research Workshop and National Seminar (IRWNS)
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/irwns.v15i1.6237

Abstract

Pada tahun 2024, Pemerintah Kabupaten Indramayu fokus pada peningkatan pelayanan publik, khususnya di sektor kesehatan. Penelitian ini mengkaji Puskesmas Cantigi, sebuah pusat pelayanan kesehatan tingkat 3 di Indramayu, yang masih menggunakan metode pencatatan dan pelaporan manual dalam operasionalnya. Penggunaan pencatatan manual ini mengakibatkan berbagai masalah efisiensi dan keakuratan data. Untuk mengatasi permasalahan ini, penelitian ini mengusulkan pengembangan sistem informasi pencatatan berbasis digital. Metode pengembangan yang digunakan adalah metode Agile, yang memungkinkan penyesuaian cepat terhadap perubahan kebutuhan selama proses pengembangan. Hasil dari penelitian ini menunjukkan bahwa implementasi sistem informasi berbasis Agile dapat meningkatkan efisiensi dan akurasi dalam pengelolaan data di Puskesmas Cantigi, serta memberikan contoh penerapan yang bisa diadopsi oleh puskesmas lainnya di Kabupaten Indramayu.
PENERAPAN APLIKASI MANAJEMEN KEUANGAN DI SMK TELADAN KERTASEMAYA Marjani Santosa, Yaqutina; Nugraha, Nur Budi; Muhamad, Fachrul PB
Jurnal Pengabdian kepada Masyarakat (NADIMAS) Vol 3 No 1 (2024): Jurnal Pengabdian kepada Masyarakat (Nadimas)
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/nadimas.v3i1.62

Abstract

Indramayu State Polytechnic (POLINDRA) is obliged to organize the Tridharma of Higher Education (education, research, and community service). Where lecturers (teaching staff) are required to carry it out. One of the mandatory implementations is community service. The results of community service can be in the form of applying, practicing, and cultivating science and technology to advance general welfare and educate the nation's life; and solving problems faced by the community by utilizing the expertise of relevant academic communities, the use of appropriate technology, science and technology development materials or teaching materials or training modules for the enrichment of learning resources.After making observations and interviews with the principal of SMK Teladan Kertasemaya, Mrs. Khoirun Nisa, S.Si, it was found that the problem in the form of an honorarium system in schools still uses a manual system. Manual systems often cause errors in the system due to human error and calculation problems. So a digitized system is needed so that these errors can be minimized. To overcome the problems that occur, a solution is proposed in the form of developing financial management applications in the school. In application development using website-based applications
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.
OPTIMALISASI PROSES REKRUTMEN KARYAWAN MELALUI ROBOTIC PROCESS AUTOMATION (RPA) DENGAN PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Rahayu, Sri; Marjani Santosa, Yaqutina
Journal of Informatics and Computing Vol. 3 No. 2 (2024): Journal of Informatics and Computing
Publisher : Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/random.v3i2.75

Abstract

The manual recruitment process often requires significant time, effort, and cost, prompting companies to seek modern technologies that can recruit employees more effectively and efficiently. One of the technologies that has become increasingly popular today is RPA (Robotic Process Automation). This research proposes the use of RPA in conjunction with the SAW (Simple Additive Weighting) method as a solution to enhance efficiency in recruitment. By considering various criteria such as IPK, last education, skills, interview, salary, and documents, it is expected that companies can benefit from time and cost savings, improve candidate experience, and increase accuracy in the recruitment process. This research opts for a more effective and efficient approach by automating the employee recruitment process using RPA, enabling companies to accelerate the process, enhance objectivity, and achieve a 94% higher accuracy rate compared to the manual method.
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.
Co-Authors Abdul Kholik Alifia Puspaningrum Ananta Padma Kusuma Azzis, Halim Muhammad Cepri Damiri Erwin Eko Wahyudi Esti Mulyani Faisal Dharma Adhinata Fauzan Ishlakhuddin Gilar Wisnu Hardi Hardi, Gilar Wisnu Kristiawan Devianto Muhamad, Fachrul PB Muhammad Saka Fathurrahman Mulyani, Esti Nabila Sholihah Nugraha, Nur Budi Nur Budi Nugraha Nur Budi Nugraha Saiful, Ibnu SRI RAHAYU Suprapto Suprapto Utami, Annisaa Wahyono Wahyono Wahyono Wahyono