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Journal : international journal of artificial intelligence

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Penerapan Algoritma Knuth-Morris-Pratt pada Fungsi Pencarian Dokumen untuk Sistem Informasi Administrasi Sekolah Berbasis Website Imam Maulana; Normalisa
International Journal of Artificial Intelligence Vol 6 No 1 (2019)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0601.30

Abstract

Algoritma Knuth-Morris-Pratt merupakan algoritma pencarian yang akan mencocokkan pattern atau susunan kata yang akan dicari dari kiri ke kanan pada awal teks dan kemudian menggeser susunan kata sampai susunan kata tersebut berada di ujung teks. Algoritma KMP memiliki keunggulan pencarian kecocokan pada file yang berukuran besar. Metode pengembangan sistem yang digunakan yaitu metode Rapid Application Development. Metode RAD ini adalah strategi siklus hidup yang ditujukan untuk menyediakan pengembangan yang jauh lebih cepat dan mendapatkan hasil dengan kualitas yang lebih baik dibandingkan dengan hasil yang dicapai melalui siklus tradisional. Aplikasi Sistem Informasi Administrasi Sekolah ini diharapkan dapat mengatasi permasalahan yang timbul dari proses pengendalian dokumen secara konvensional agar lebih mudah dan tepat. Applying of Knuth-Morris-Pratt Algorithm to the Document Search Function for Website-Based School Administration Information Systems Abstract: Knuth-Morris-Pratt algorithm is a search algorithm that will match the pattern or arrangement of words to be searched from left to right at the beginning of the text and then shift the order of words until the word order is at the end of the text. The KMP algorithm has the advantage of matching matches on large files. The system development method used is the Rapid Application Development method. RAD method is a life cycle strategy aimed at providing development that is much faster and gets results with better quality compared to results achieved through traditional cycles. Application of School Administration Information System is expected to be able to overcome problems arising from conventional document control processes to make it easier and more precise. Keywords: Document Search, Knuth-Morris-Pratt, Rapid Application Development.
Analisa dan Penerapan Sistem Inferensi Fuzzy Metode Mamdani untuk Penentuan Penerima Beasiswa Munawaroh; Normalisa; Alvino Octaviano
International Journal of Artificial Intelligence Vol 6 No 1 (2019)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0601.31

Abstract

Beasiswa merupakan pemberian berupa bantuan keuangan yang diberikan kepada perorangan. Beasiswa bertujuan untuk digunakan demi keberlangsungan pendidikan yang ditempuh. SMAN 1 Parung merupakan lembaga formal milik pemerintah yang bergerak pada bidang pendidikan. SMAN 1 Parung mempunyai program beasiswa untuk siswa berprestasi yang kurang mampu. Masalah yang kerap kali terjadi yaitu tidak tepatnya pemberian beasiswa karena hanya menggunakan rata-rata nilai rapor. Berdasarkan masalah tersebut, penulis melakukan penelitian untuk menentukan penerima beasiswa menggunakan fuzzy inference system metode Mamdani, dengan kriteria rata-rata nilai rapor, pendapatan orang tua, dan jumlah tanggungan orang tua. Pendekatan yang digunakan untuk menyelesaikan permasalahan penelitian melalui studi pustaka dari penelitian terdahulu tentang penentuan penerima beasiswa, teori tentang logika fuzzy metode Mamdani, kemudian menyusun tahap-tahap yang harus dilakukan dalam penelitian. Penerapan metode dan kriteri diharapkan dapat diperoleh perhitungan yang akurat sehingga menghasilkan penilaian yang akurat terhadap siswa-siswi yang berhak mendapatkan beasiswa. Analysis and Application of the Mamdani Method Fuzzy Inference System for Determining Scholarship Recipients Abstract: Scholarships are gifts in the form of financial assistance given to individuals. Scholarships aim to be used for the sustainability of the education being pursued. SMAN 1 Parung is a formal government-owned institution which is engaged in education. SMAN 1 Parung has a scholarship program for underachievers. A problem that often occurs is the inaccuracy of scholarships because they only use an average report card grade. Based on these problems, the authors conducted a study to determine the recipient of the scholarship using the Mamdani method of fuzzy inference, with criteria for the average value of report cards, parental income, and the number of dependent parents. The approach used to solve research problems through literature studies from previous research on the determination of scholarship recipients, the theory of fuzzy logic Mamdani method, then arrange the stages that must be done in research. The application of methods and criteria is expected to be obtained by accurate calculations so as to produce an accurate assessment of students who are entitled to scholarships. Keywords: Fuzzy Inference System, Mamdani Method, Decision Making.
Sistem Pakar Diagnosa Penyakit Ginjal Aldy Pura Dicki Alamsyah; Normalisa
International Journal of Artificial Intelligence Vol 6 No 1 (2019)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0601.32

Abstract

Ginjal merupakan organ penting dalam sistem metabolisme tubuh. Banyaknya aktivitas seseorang akan mempengaruhi kesehatan ginjal apabila organ tersebut tidak dijaga. Pola makan yang tidak teratur, kurangnya asupan serat dan air mineral, serta konsumsi makanan atau minuman instan berkalori tinggi akan memperberat kerja ginjal mulai dari proses filtrasi, reabsorpasi, sampai augmentasi dari zat-zat makanan yang di bawah ke ginjal melalui darah. Tujuan penelitian ini adalah membuat suatu sistem pakar untuk penyakit ginjal menggunakan bahasa pemrograman Eclipse Juno. Sistem tersebut mampu memberikan pelayanan kepada masyarakat dan penyampaian informasi yang berkaitan dengan penyakit ginjal. Pada penelitian ini pengumpulan data dilakukan dengan menggunakan metode observasi dan studi pustaka. Hasil penelitian ini menunjukkan bahwa dengan adanya sistem pakar diagnosa penyakit ginjal pada manusia, dapat memberikan manfaat yang cukup berarti antara lain proses pengolahan data dan proses konsultasi dilakukan dengan cepat serta menghasilkan laporan yang cukup akurat, sehingga membuat pekerjaan akan lebih efektif dan efisien. Expert System for Diagnosing Kidney Diseases Abstract: The weather station helps in planning socioeconomic activities Kidney is an important organ in the body's metabolic system. The amount of activity a person will affect kidney health if the organ is not maintained. Irregular eating patterns, lack of fiber and mineral water intake, and consumption of instant high-calorie foods or drinks will aggravate the kidney's work starting from the process of filtration, reabsorption, until augmentation of food substances below the kidneys through the blood. The purpose of this study is to create an expert system for kidney disease using the Eclipse Juno programming language. The system is able to provide services to the community and delivery of information related to kidney disease. In this study data collection was carried out using observation and literature study methods. The results of this study indicate that with an expert system of diagnosing kidney disease in humans, it can provide significant benefits including data processing and consultation processes carried out quickly and produce reports that are quite accurate, so as to make the work more effective and efficient Keywords: Expert System, Disease, Kidney.
Penilaian Kinerja Karyawan Berprestasi dengan Metode Simple Additive Weighting Perani Rosyani; Normalisa; Joko Priambodo
International Journal of Artificial Intelligence Vol 6 No 1 (2019)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0601.34

Abstract

PT. Matahari Putra Prima merupakan perusahaan yang cukup berkembang dibidang ritel di mana terdapat banyak karyawan yang dipekerjakan di sana. Penyeleksian karyawan berprestasi merupakan masalah yang sangat penting bagi pihak HRD karena perlimpahan karyawan untuk meningkatkan penghargaan untuk perusahaan tersebut. Untuk menentukan yang karyawan berprestasi ini, manajer harus mempertimbangkan lebih banyak faktor, dan pengajuannya harus dilakukan sesuai tujuan. Pengguna dapat memberikan hasil sesuai kebutuhan salah satu metode yang dapat digunakan adalah Simple Additive Weighting (SAW). Dari hasil penelitian dengan menggunakan metode SAW melalui pengumpulan hirarki dan atribut keputusan yang ditambahkan alternatif dan penilaian yang telah ditentukan akan memudahkan manajer dalam menentukan keputusan terhadap karyawan mana yang layak dipertimbangkan berprestasi. Untuk melakukan perhitungan semua kriteria dalam pengambilan keputusan ini, dilakukan dengan alat bantu aplikasi yang dikembangkan menggunakan bahasa pemrograman Java. Performance Appraisal for Outstanding Employees Using the Simple Additive Weighting Method Abstract: PT. Matahari Putra Prima is a well-developed company in the retail sector where there are many employees employed there. The selection of outstanding employees is a very important issue for the HRD because of the delegation of employees to increase appreciation for the company. The method that can be used is Simple Additive Weighting (SAW). From the results of the study using the SAW method through the collection of hierarchies and decision attributes that are added alternatives and predetermined assessments will facilitate managers in determining decisions on which employees are worth considering achievement. To calculate all the criteria in making this decision, it is done with application tools developed using the Java programming language. Keywords: Simple Additive Weighting, Assessment, Performance, Decision Making.
A Genetic-Fuzzy System Algorithm Method for the Breast Cancer Diagnosis Problem Normalisa
International Journal of Artificial Intelligence Vol 8 No 2: December 2021
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0802.302

Abstract

Breast cancer is an important medical problem, especially for women, computer-aided medical diagnosis is very important in terms of prevention and early detection. This paper presents early detection of breast cancer using two methods, namely genetic algorithm and fuzzy inference system which will be used for early detection of breast cancer which will be used by doctors with computer assistance to obtain medical diagnosis of breast cancer in Indonesia. Our research shows that the diagnosis of breast cancer using these two methods has a high level of accuracy.
Fuzzy Logic for Heart Disease Prediction Muhammad Raihan Rusli; Normalisa
International Journal of Artificial Intelligence Vol 13 No 1: June 2026
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-01301.1057

Abstract

Cardiovascular disease remains one of the leading causes of mortality worldwide, emphasizing the importance of early and accurate risk prediction systems. This study proposes a web-based heart disease prediction system utilizing a fuzzy logic approach to effectively manage uncertainty and imprecision in clinical data. As illustrated in the system interface, the model incorporates five primary input parameters: blood pressure, blood sugar level, cholesterol level, body mass index (BMI), and family history. These parameters are transformed into linguistic variables through fuzzification and evaluated using a rule-based fuzzy inference system constructed from expert knowledge and recent research findings. The fuzzy logic framework enables flexible decision-making that closely resembles human reasoning, overcoming limitations of conventional threshold-based diagnostic methods. The system produces an interpretable heart disease risk classification, such as low or high risk, which is presented through an interactive web interface along with a prediction history feature. Based on a review of related studies published within the last five years, fuzzy logic and neuro-fuzzy models have shown strong performance, transparency, and suitability for clinical decision support. The proposed system demonstrates the practicality of integrating fuzzy logic into web applications to support early heart disease risk assessment and preventive healthcare.
Co-Authors abraham mahanaim Achmad Fatoni, Achmad Agus Herdiyanto Aldy Pura Dicki Alamsyah Alvino Octaviano arista atmadjati atmadiputra, pradana Harfian Rais Hidayatullah, Achmad Syauqii Imam Maulana jibran prawiko jihan angrila Joko Priambodo Muhammad Raihan Rusli Munawaroh naufal azzam, julian Neno Ruseno nurafi chandra, zahran Perani Rosyani pradana atmadiputra salma aziizah novrian sudjiran Sunarto Usna Triyana, Yudi victor hugo cahyo wiratmaja, yumna Yulianti Zulfikar, Ahmad Fikri