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Kombinasi Metode Correlated Naive Bayes dan Metode Seleksi Fitur Wrapper untuk Klasifikasi Data Kesehatan Hairani, Hairani; Innuddin, Muhammad
Jurnal Teknik Elektro Vol 11, No 2 (2019): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v11i2.23693

Abstract

Most features of health data that have many irrelevant features can reduce the performance of classification method. One health data that has many attributes is the Pima Indian Diabetes dataset and Thyroid. Diabetes is a deadly disease caused by the increasing of blood sugar because of the body's inability to produce enough insulin and its complications can lead to heart attacks and strokes. The purpose of this research is to do a combination of Correlated Naïve Bayes method and Wrapper-based feature selection to classification of health data. The stages of this research consist of several stages, namely; (1) the collection of Pima Indian Diabetes and Thyroid dataset from UCI Machine Learning Repository, (2) pre-processing data such as transformation, Scaling, and Wrapper-based feature selection, (3) classification using the Correlated Naive Bayes and Naive Bayes methods, and (4) performance test based on its accuracy using the 10-fold cross validation method. Based on the results, the combination of Correlated Naive Bayes method and Wrapper-based feature selection get the best accuracy for both datasets used. For Pima Indian Diabetes dataset, the accuracy is 71,4% and the Thyroid dataset accuracy is 79,38%. Thus, the combination of Correlated Naïve Bayes method and Wrapper-based feature selection result in better accuracy without feature selection with an increase of 4,1% for Pima Indian Diabetes dataset and 0,48% for the Thyroid dataset.
Metode Dempster-Shafer untuk Diagnosis Dini Jenis Penyakit Gangguan Jiwa Skizofrenia Berbasis Sistem Pakar Hairani Hairani; Kurniawan Kurniawan; Kurniadin Abd Latif; Muhammad Innuddin
Sistemasi: Jurnal Sistem Informasi Vol 10, No 2 (2021): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.842 KB) | DOI: 10.32520/stmsi.v10i2.1195

Abstract

AbstrakSkizofrenia merupakan jenis gangguan jiwa bersifat kronis yang mempengaruhi proses berpikir, merasakan, dan berprilaku baik bagi penderitanya. Permasalahan selama ini adalah sebagian masyarakat umum merasa malu untuk melakukan pemeriksaan langsung ke rumah sakit kejiwaan, karena masih ada stigma negatif masyarakat. Tidak hanya itu, biaya konsultasi dengan dokter spesialis kejiwaan yang tidak murah menjadi salah satu faktor untuk tidak memeriksakan dirinya. Padahal deteksi dini jenis skizofrenia sangat diperlukan agar diberikan penaganan cepat dan tepat, sehingga minimalisir terjadinya kondisi yang lebih parah. Solusinya adalah menggunakan konsep sistem pakar menggunakan metode dempster shafer untuk diagnosis jenis penyakit skizofrenia. Tahapan penelitian ini terdiri dari akuisisi pengetahuan, perancangan tabel keputusan, implementasi, dan pengujian akurasi. Pengembangan sistem pakar diagnosis penyakit skizofrenia menggunakan metode dempster shafer untuk memudahkan masyarakat umum (pasien) untuk mengetahui jenis penyakit skizofrenia yang diderita beserta tingkat keyakinannya tanpa harus pergi ke dokter spesialis kejiwaan. Berdasarkan hasil pengujian yang telah dilakukan menggunakan 12 data, metode dempster shafer mendapatkan akurasi 100%. Dengan demikian, metode dempster shafer dapat digunakan untuk diagnosis jenis penyakit skizofrenia.Kata Kunci: Dempster Shafer, Skizofrenia, Sistem Pakar           AbstractSchizophrenia is a type of chronic mental disorder that affects the sufferer's thinking, feeling, and behavior processes. The problem so far is that some of general public feel ashamed to conduct a direct examination at a mental hospital, because there is still a negative stigma from the community. Not only that, cost of consulting with a psychiatric specialist is not cheap to be a factor for not having him checked out. In fact, early detection of this type of schizophrenia is needed so that it is given fast and precise treatment, so as to minimize the occurrence of more severe conditions. The solution is to use the concept of an expert system using dempster shafer method for diagnosis of schizophrenia. The stages of this research consisted of knowledge acquisition, decision table design, implementation, and accuracy testing. Development of an expert system for diagnosing schizophrenia using dempster shafer method to make it easier for the general public (patients) to find out type of schizophrenia that is being suffered and their level of confidence without having to go to a psychiatric specialist. Based on the results of tests that have been carried out using 12 data, dempster shafer method gets 100% accuracy. Thus, dempster shafer method can be used for diagnosis of schizophrenia.Keywords: Dempster Shafer, Skizofrenia, Expert System
Sistem Pendukung Keputusan Penentuan Bonus Karyawan dengan Metode Fuzzy-SAW Berbasis Web (Studi Kasus PT. Bunga Raya) Muhammad Sahdan; Muhammad Innuddin; Mokhammad Nurkholis Abdillah
Informatics and Digital Expert (INDEX) Vol. 2 No. 2 (2020): INDEX, November 2020
Publisher : LPPM Universitas Perjuangan Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36423/index.v2i02.586

Abstract

Penentukan bonus karyawan pada PT Bunga Raya berdasarkan atas dasar absensi,gaji,kerjasama,kedisiplinandanjumlahlembur.Masalahyangdihadapi adalah kurangnya transparansi dalam penentuan bonus karyawan, sehingga berdampak pada hubungan keharmonisan karyawan dalam bekerja, sehingga diperlukan sebuah sistem yang baru yang dapat mendukung dan mempermudah dalam proses perangkingan untuk meningkatkan kualitas keputusan dalam menentukan bonuskaryawan.Untuk mengatasi masalah tersebut diperlukan sebuah sistem yang mampu membantu bagian administrasi dalam mempercepat dan mempermudah proses perangkingan bonus karyawan. Sistem yang dimaksud adalah sistem pendukung keputusan (SPK). SPK adalah Sistem yang mampu memberikan rekomendasi dalam memutuskan suatu kasus tertentu. SPK yang dikembangkan menggunakan metode fuzzy dan simple additive weighting (SAW) atau dikenal dengan fuzzy SAW. Fuzzy digunakan untuk proses pembobotan nilai dari tiap kriteria dan SAW di gunakan untuk mencari nilai alternatif terbaik dalam berbabgai alternatif berdasarkan kriteria yang ditentukan.Padapeneltian(Salehetal.,2014)studikasusmengambiltempatdiCV.Asia Exotica Medan . Penentuan kulit ular untuk kerajinan tangan masih dilakukan secara manual dan susahnya untuk menentukan kualitas kulit ular yang digunakan untuk kerajinan tangan sama menggunakan metode Fuzzy SAW. namun acuan kriteria yang digunakan adalah 3 kriteria dalam penentuan kualitas kulitular.Hasil pengujian fungsional yang dilakukan pada beberapa browser (Chrome, Firefox, dan Internet Explorer) menunjukan bahwa semua fungsi yang terdapat dalam aplikasi dapat berjalan dengan baik. Hasil pengujian validasi dilakukan dengan membandingkan output sistem dengan perhitungan manual dan hasilnya memiliki tingkat validasi sebesar 100%. Hasil pengujian sistem secara user dilakukan dengan membagi kuisioner kepada 7 admin dan menunjukan bahwa sistem yang dikembangkan memiliki tingkat kepuasan sebesar 77%.
Pelatihan Pembuatan Media Pembelajaran Bagi Guru MI NW Darussholohin Kalijaga dalam Rangka Meningkatkan Mutu Pembelajaran Muhammad Innuddin; Hairani Hairani; Rifqi Hammad; Pahrul Irfan; Kurniadin Abd. Latif
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 1 No 2 (2021): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.71 KB) | DOI: 10.30812/adma.v1i2.1019

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Technological developments that require teachers to improve skills in this field to help the teaching and learning process better. Teachers at Madrasah Ibtidaiyah Darussholihin NW Kalijaga are still lacking in applying technology, especially in making learning media. Based on these problems, it is necessary to hold training on how to use applications to develop learning media. Some applications that can be used as tools for creating learning media include the Microsoft PowerPoint application which is the most commonly used. This application is commonly used throughout the world to make presentation slides as a medium for delivering material in the teaching and learning process. The method used in this training activity is direct practice to develop learning media using Microsoft PowerPoint. With this service activity, it is hoped that all teachers can improve their abilities in developing learning media using the Microsoft PowerPoint application.
Sosialisasi Internet Sehat, Cerdas, Kreatif dan Produktif di Era Pandemi COVID 19 pada MA NW Tanak Maik Masbagek Muhammad Innuddin; Dedy Febry Rahman; Hairani Hairani; Andi Sofyan Anas; Hasbullah Hasbullah
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 2 No 2 (2022)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v2i2.1609

Abstract

Healthy, Smart, Creative and Productive Internet in the Era of the Covid 19 Pandemic. The research objectives include: to find out how to use the technology and describing how to use technology properly to reduce negative impacts. This research method is a descriptive qualitative method. The techniques used in collecting data are observation techniques, interview techniques, and documentation. The results of this study found two problems, including 1) did not understand how to use and utilize internet technology properly, 2) lack of teacher evaluation and control on students. The conclusion of this research is the use and utilization of technology properly, leading to positive impacts and reducing negative impacts. By knowing how to use internet technology properly and correctly, it will be able to make students smart, creative, and productive. The purpose of being intelligent, creative, and productive is that students can develop and apply what has been obtained in internet technology, which is applied in their daily lives, both within the school environment or outside the school environment.
Metode Pengembangan Potensi Wirausaha Ekonomi Produktif Di Kabupaten Bima Dan Kota Bima Untuk Mendukung Tahun Pariwisata Provinsi Ntb 2021 Dedy Febry Rachman; Sri Anita Rachman; Muhammad Innuddin
JPEK: Jurnal Pendidikan Ekonomi dan Kewirausahaan Vol 5, No 2 (2021): JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jpek.v5i2.4824

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The purpose of this study is to encourage an increase in business activity and creativity in community groups in Bima Regency and Bima City, Obtain information related to the economic potential of the region, Obtain information related to various obstacles faced by the community, especially related to the development of productive economic enterprises, Explore information related to local government policies in Bima Regency and Bima City, especially those related to the development of productive economic enterprises. The methodology of this research is a research and development (RD) approach covering ten stages starting from (1) research and information collecting; (2) planning; (3) develop preliminary form of product; (4) preliminary field testing; (5) main product revision; (6) mainfield testing; (7) operational product revision; (8) operational field testing; (9) final product revision; (10) dissemination and implementation. The results of the study show that the Agriculture, Forestry, and Fisheries Sector is still the largest contributor to the economy of Bima Regency. According to BPS data, in 2019 this sector contributed 43.50 percent to the economic posture of Bima Regency and the Bima City Economy was mostly contributed from the trade sector where, in 2019 this sector contributed 25.11 percent to the economic structure of Bima City
Perancangan Sistem Pakar Diagnosis Penyakit Rematik Menggunakan Inferensi Forward Chaining Berbasis Prolog Hairani Hairani; Mokhammad Nurkholis Abdillah; Muhammad Innuddin
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 4, No 1 (2019): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.523 KB) | DOI: 10.30743/infotekjar.v4i1.1377

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Penyakit artrhitis atau sering dikenal dengan nama rematik merupakan penyakit yang menyerang sendi dan struktur atau jaringan penunjang sekitar sendi. Jenis penyakit rematik memiliki lebih dari 150 jenis, tetapi di indonesia ada 3 jenis penyakit paling sering diderita masyarakat diantaranya Gout Arthritis, Rheumatoid Arthritis, dan Osteo Arthritis. Gejala pada jenis penyakit rematik sering tidak disadari oleh masyarakat, karena umumnya memiliki gejala yang mirip satu sama lain. Salah satu solusi yang dapat digunakan masyarakat untuk melakukan diagnosis dini jenis penyakit rematik adalah sistem pakar. Sistem pakar adalah sebuah sistem yang mengadopsi pengetahuan pakar sehingga dapat melakukan seperti yang dilakukan pakar. Penelitian ini mengembangkan sistem pakar diagnosis penyakit rematik menggunakan inferensi forward chaining berbasis prolog. Metode inferensi forward chaining digunakan untuk menarik kesimpulan jenis penyakit rematik yang diderita berdasarkan gejala-gejala yang dirasakan. Berdasarkan pengujian yang telah dilakukan bahwa metode inferensi forward chaining dapat melakukan diagnosis jenis penyakit rematik..
Komparasi Akurasi Metode Correlated Naive Bayes Classifier dan Naive Bayes Classifier untuk Diagnosis Penyakit Diabetes Hairani Hairani; Gibran Satya Nugraha; Mokhammad Nurkholis Abdillah; Muhammad Innuddin
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 3, No 1 (2018): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v3i1.558

Abstract

Penyakit diabetes merupakan salah satu penyakit paling banyak diderita oleh manusia seluruh dunia. Setiap tahun terjadi peningkatan kematian yang disebabkan oleh penyakit diabetes. Penyakit diabetes terjadi disebabkan oleh tubuh tidak menghasilkan insulin dalam jumlah yang cukup. Salah satu cara yang digunakan untuk mengurangi jumlah kematian yang disebabkan oleh penyakit diabetes adalah melakukan diagnosis secara dini. Salah satu teknik yang bisa digunakan adalah memanfaatkan teknik data mining. Untuk melakukan diagnosis penyakit diabetes dibutuhkan suatu metode yang memiliki akurasi terbaik. Pada penelitian ini melakukan komparasi metode Correlated-Naive Bayes Classifier dan Naive Bayes Classifier untuk mendapatkan akurasi terbaik sehingga dapat digunakan untuk diagnosis penyakit diabetes. Berdasarkan pengujian yang telah dilakukan menunjukkan bahwa metode Correlated Naive Bayes Classifier (CNBC) memperoleh akurasi terbaik dibandingkan dengan metode Naive Bayes Classifier (NBC) untuk Dataset Pima indian Diabetes. Tingkat akurasi metode Correlated Naive Bayes Classifier (CNBC) sebesar 67,15%, sedangkan metode Naive Bayes Classifier (NBC) sebesar 64,33%. Metode Correlated Naive Bayes Classifier (C-NBC) memiliki akurasi lebih tinggi dibandingkan metode Naïve Bayes Classifier (NBC) karena pada metode Correlated Naïve Bayes Classifier memperhitungkan nilai korelasi dari masing-masing atribut dataset terhadap Kelasnya. Dengan demikian penggunaan metode Correlated Naïve Bayes Classifier (C-NBC) dapat digunakan untuk melakukan diagnosis penyakit diabetes karena memiliki tingkat akurasi yang bagus dibandigkan metode Naive Bayes Classifier.
Aplikasi Pembelajaran Percakapan Bahasa Arab dan Inggris Berbasis Android Hairani Hairani; Muhammad Zulkarnaen Haris; Muhammad Arfa; Muhammad Innuddin
Jurnal SASAK : Desain Visual dan Komunikasi Vol 4 No 1 (2022): SASAK
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/sasak.v4i1.1884

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Nurul Haramain Islamic Boarding School NW Narmada is a private educational institution that applies English and Arabic as daily languages ​​for students in the boarding school environment. However, students who have just entered the Islamic boarding school are given up to six months to learn English and Arabic. Until now, Nurul Haramain Islamic Boarding School NW Narmada in teaching Arabic and English to students still uses the conventional learning process without using the help of learning media. Most of the students did not listen to the teacher delivering the subject matter, difficulties in understanding the material, and the lack of interest of the students in Arabic and English conversations. Therefore, this study aims to develop an application for learning conversational English and Arabic based on Android for class 1 students of Mts Nurul Haramain. The application development stages use the Luther Sutopo model which consists of the Concept, Design, Material Collecting, Assembly, Testing, and Distrubution stages. The application that has been developed was tested on 30 respondents related to application functionality, where the results of application functionality were 78% in the Good category, so that it can help class 1 students of Mts Islamic boarding school Nurul Haramain learn English and Arabic conversation with the correct pronunciation.
Implementation of Certainty Factor Method on Problematic Student Counseling Guidance Expert System Zilullah Nazir Hadi; Dyah Susilowati; Hairani Hairani; Muhammad Innuddin
Jurnal Bumigora Information Technology (BITe) Vol 3 No 2 (2021)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i2.1553

Abstract

The main thing in the development of education is the quality of education. One of the determinants of the quality of education is counseling guidance. The problem so far is that most students who have problems feel embarrassed in doing counseling directly to the BK teacher and usually consult with their friends so that they cannot solve the problems they face. This makes it difficult for BK teachers to deal with student problems, so we need a system that can help and solve problems experienced by students. The purpose of this study is to design an expert system that overcomes the problems suffered by students using the certainty factor method that can provide solutions based on the types of problems suffered by the students. The expert system development methodology in this study uses the waterfall methodology which consists of needs analysis, design, coding, and testing. The result of this research is in the form of an expert system application for counseling problem students who apply a web-based certainty factor method that can make it easier for students to find out the types of problems they face based on the problems symptoms entered. This study concludes that the expert system application that was built has a good level of convenience based on the results of usability testing using the SUS (System Usability Scale) method of 76.5%.