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All Journal Jurnal POINTER Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Nurul Hidayat
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Sistem Diagnosis Penyakit Kucing Menggunakan Metode Naive Bayes Ahmad Fuyudi Wijaya; Nurul Hidayat; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the most popular pets in Indonesia is the cat. According to experts Didik Saptono cat who has name felin silvertis cotus is a kind of carnivore. Many cat keepers 1 find it difficult to take care of their beloved cat when sick and one way to find out the cat'sdiseases seen from the symptoms that arise in cats and consultation of veterinarians, However there are some that prevent the keeper to go visitthe veterinarian ie limited time, distance and cost. An alternative solution overcome this problem by creating a system that can help cat keepers in diagnosing cat diseases.The method thatcan be used in this Expert System is Naive Bayes. The method is implemented on the inference engine Expert System in order to make a conclusion based on existing knowledge on the knowledge base. Results obtained after a system accuracy test of 85% indicating that the Naive Bayes method is suitable for cat disease cases.
Sistem Diagnosis Penyakit Hati Menggunakan Metode Naive Bayes Novianto Donna Prayoga; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

System Diagnosis of Liver Disease using Naive Bayes Method is an application that aims to help people for diagnosing liver disease early. This system is built based on problems that occur in society that is difficult in liver disease. Because liver disease has many symptoms and there are similarities in symptoms. This is one of the causes of high percentage of liver disease in Indonesia, recorded from Basic Health Research in 2013, one type of liver disease that is national hepatitis B prevalence reached 21.8 percent, and ranked third highest in Indonesia.The Naive Bayes method was chosen in this study because Naive Bayes paid attention to all features of data training so as to make this method optimal in classification process. This system uses the Android operating system, because Android is quite consistent popularity in the market smarthphone Indonesia until now. The data used in this study were obtained from doctor who have been validated by the institution of Universitas Brawijaya Hospital, Malang. The results of this study indicate base on the accuracy testing of 40 data testing obtained an accuracy of 87,5%.
Implementasi Metode Naive Bayes Untuk Diagnosis Penyakit Kambing (Studi Kasus : UPTD. Pembibitan Ternak dan Hijauan Makanan Ternak Kec. Singosari Malang) Healtho Brilian Argario; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Goat breeding is the main commodity in the Technical Implementation Unit of Livestock Breeding and Forage of Livestock Feed (UPT PT and HMT) Kec. Singosari Malang. Based on East Java Governor Regulation No. 130 of 2008 on Organization and Working Procedure of Technical Implementation Unit of Livestock Service Office of East Java Province, one of the tasks of UPT PT and HMT Malang is to cooperate with livestock groups, and provide livestock seed support, especially goats. Goat cattle business will experience constraints when the goat is infected with the disease. For the target group that wants to consult with the UPT and HMT should contact the agency and the doctor will come to check. This is less effective considering the distance, length of travel time and the number of animals controlled by the agency. Therefore, researchers want to make intelligent computing that can be applied to the laptop or personal computer in order to help the group of livestock assisted UPT PT and HMT Malang to diagnose the disease. The method used in this research is by Naive Bayes method. Input is a symptom that occurs in the field and the output of the diagnosis and treatment advice. The result of system testing accuracy with Naive Bayes method is 90%. With the results of such precision, the method of Naive Bayes has a good.
Sistem Pakar Identifikasi Penyakit Tanaman Kacang Tanah Menggunakan Metode Fuzzy Mamdani Berbasis Android Arifandi Wahyu Widianto; Nurul Hidayat; Moch. Cholil Mahfud
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Peanut (Arachis hypogaea L.) is one of important plant commodities after corn and soybean crops. In addition, peanut production in not sufficient needs and often experience crop failure. One of the causes of it is the disease in the peanut itself. To overcome the problem of disease in peanuts done by making disease identification system, thus facilitating the control. The method used is fuzzy mamdani logic and forward chaining, fuzzy logic of Mamdani to determine the value and result of disease diagnosis of the phenomenon, while forward chaining is used for weighting value. After the implementation and testing, obtained the accuracy between experts with the system of 90.00%. From these results can be concluded that the results of the system and experts are aligned and have a positive accuracy.
Implementasi Metode Naive Bayes-Certainty Factor Untuk Identifikasi Penyakit Kanker Pada Sistem Reproduksi Wanita Muhammad Anang Mufid; Nurul Hidayat; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

There are many women who still reluctant to pay attention to the health of the reproductive system. Cancer can attacks slowly if women don't maintain the health of their reproductive system. Cancer prevention is very necessary nowadays, but sometimes it stumbled on the limited number of doctors or experts. Therefore, a tool of expert system need to be made to reduce these limitiations. This study implements an expert system to diagnose cancer in the reproductive system using the android-based Naive Bayes-Certainty Factor method. Based on trials, by using Naive Bayes-Certainty Factor method, the calculation accuracy of the diagnose is good and accurate, the calculation accuracy of the diagnose is good and accurate, because the output of system has 85,71% as accurity level.
Implementasi Metode Bayesian Network Untuk Diagnosis Penyakit Kambing (Studi Kasus : UPTD Pembibitan Ternak dan Hijauan Makanan Ternak Singosari Malang) Andika Eka Putra; Nurul Hidayat; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Infectious disease factors are serious constraints that farmers should be aware of especially for traditional farmers who do not join livestock groups. Slow and improper handling can endanger livestock conditions. However, if the initial treatment is done, the chances of infection of the disease can be handled so as not to be more severe and contagious to other goats in a herd. Unfortunately, the uncertainty between the symptoms and the type of disease makes the farmers obstructed in the initial treatment, and do not know what to do without an expert. Based on these problems, the authors make a system of diagnosis of goat disease that is able to perform the diagnosis process based on the symptoms of goat. This diagnostic system uses Bayesian network method, the system is built on mobile device applications using the Android platform as the user interface, while the calculation process using PHP programming language, and MySQL database to store the prevalence of goat disease that has occurred. This system through the process of system functional testing and system accuracy testing. In the process of testing the functionality of this diagnostic system shows the functions that exist on the system goes well. In addition, the process of accuracy testing of goat disease diagnosis system using Bayesian Network method is done by entering the variation of symptoms by experts get the result of 86.6%.
Implementasi Metode Iterative Dichotomizer Tree (ID3) Untuk Diagnosis Penyakit Pada Tanaman Bawang Merah Eric Aji Panji Kurniawan; Nurul Hidayat; Satrio Hadi Wijoyo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Early detection can minimize the risk of crop failure and can be the determinant of the strategic control efforts.The detection that existed so far is still done manually, and knowledge of disease and pest of onion plant still lacking . The number of plant disease pests of onion is also quite a lot and make enough trouble for farmer detect that attacks. The utilization of the expert system detection process becomes easier and faster. Farmer can detect pest and plant disease early and independently as well. On the research of this kind of disease pest that can be detected as many as five pests diseases using methods of Iterative dichotomezer 3 (ID3) with 23 input from users of symptoms. The method is used to analyze the data of pest and plant disease of onion crops where as the result of system accuracy test between the detection and the result of Iterative dichotomezer 3 (ID3) method calculation has the accuracy level of 80% which use 20 data training and 20 data test.
Sistem Pakar Diagnosis Penyakit Sapi Ternak Potong Menggunakan Metode Naive Bayes - Certainty Factor Dhimas Tungga Satya; Nurul Hidayat; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The low ability of domestic farms to fulfill necessity of beef and cow's milk is caused by many things. One of them is a disease. Such as anthrax, snore of cow disease, brucellosis and diseases caused by parasitic gastrointestinal worms which are the most agent of decreasing levels of beef and dairy production by breeders. Currently expert resources in diagnosing cattle diseases are limited, it takes an expert system that can replace the role of experts in diagnosing diseases in cattle. In this study to implement the expert system diagnosis of cattle disease using method Naive Bayes - Certainty Factor. Using the Naive Bayes - Certainty Factor method results in accurate and accurate diagnostic accuracy, since the output produced by the system has a level of accuracy of 92% and the system created has a user satisfaction level of 3.19411.
Sistem Pakar Diagnosis Penyakit Pada Sapi Menggunakan Metode Dempster-Shafer Berbasis Android Atha Milzam; Nurul Hidayat; Moch. Cholil Mahfud
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Salah satu masalahan yang sedang terjadi di dalam beternak sapi adalah terjaring virus penyakit.Virus penyakit yang sering timbul pada setiap sapi tidak pernah sama atau dapat dikatakan berbeda sehingga di dalam hal ini diperlukannya sebuah ketelitian untuk melakukan diagnosis. Banyak sapi yang mengalami penyakit yang diakibatkan karena makanan dan minuman yang dikonsumsi itu sendiri. Peternak sapi sering kali merasa sulit di dalam mengetahui gejala penyakit sapi karena terbatas dengan pengetahuan peternak sapi terhadap penyakit pada hewan ternaknya. Sulitnya untuk menemukan pekerja medis di daerah terpencil atau susah terjangkau seperti halnya untuk mencari dokter hewan termasuk salah satu yang menjadi masalah peternak karena tidak mampu secara cepat dalam menangani sapi yang diduga sedang terjangkit penyakit. Jika saja seekor sapi terinfeksi penyakit, ahli ataupun pakarnya seperti halnya seorang dokter hewan sangat diperlukan di dalam mengatasi masalah tersebut. Sehingga dengan adanya sebuah permasalahan ini maka diperlukan system pakar .Berdasarkan pada penjelasan tetang masalah tersebut maka akan dilakukannya rancangan sebuah sistem dengan menggabungkan obyek penelitian penyakit sapi dengan metode Dempster-Shafer. Teori Demspter-Shafer ini menggunakan sebuah nilai kepercayaan dan akan dikombinasikan dengan penilaian menggunakan suatu pernyataan belief-plausibility dan banyaknya informasi yang dijelaskan didalamnya bisa menggunakan nilai q (theta).Telah didapatkan 11 Jenis penyakit pada sapi dimana meliputi Abses, Ascariasis, Bloat, Bovine Ephemeral Fever (BEF), Endometritis, Entritis, Mastitis, Omphalitis, Pneumonia, Rentensio, dan Scabies serta 20 Gejala penyakitnya. Dalam sistem diagnosis penyakit pada sapi ini dimiliki proses utamanya yaitu proses dalam menghitung nilai densitas suatu gejala terhadap penyakit,yang dimana nilai densitas penyakit tertinggi merupakan hasil keluaran dari sistem,dimana yang akurasinya sebesar 75,17 % ysng dikeluarkan dari hasil perhitungan tersebut.
Optimasi Komposisi Pakan Kambing Boer Menggunakan Algoritme Evolution Strategies Ramadhan Anindya Guna Aniwara; Nurul Hidayat; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The common problem that mostly happened in animal husbandry of goat is the insufficient usage of fodder. A simple mistake in choosing the fodder caused the goat to having a little nutrition in their body. That surely make the goat not growing breed well. In the economic point of view, the purchase of fodder becomes the highest cost in factory farming, so the cost should be reduced as low as possible to maximize the revenue. Optimizing the preparations of goat's fodder is a way to reducing the cost, that can also increasing the revenue. In this case, a evolution strategies algoritm is used to optimizing the goat's fodder. The type of ES process used is (μ / r + λ) so that the reproduction process involves recombination and the mutation result will be included with the parent in the selection and selection process using elitism selection. The optimal solution is obtained from population size of 90 and the number of generations 100 obtained the highest average fitness value of 0.803. The final result is recommendation of goat's fodder.
Co-Authors Achmad Affan Suprayogi Nugraha Achmad Dwi Noviyanto Achmad Igaz Falatehan Achmad Ridok Achmad Syarifudin Ade Wicaksono Adhie Indi Arsyanto Adhitya Pratama Wijayakusuma Adhiyatma Mugiprakoso Aditya Purwa Pangestu Agus Wahyu Widodo Ahmad Afif Supianto Ahmad Fuyudi Wijaya Akbar Aditya Maulana Akhmad Syururi Akhmad Wahyu Redhani Aldion Cahya Imanda Alfan Nazala Putra Alfian Himawan Alfita Nuriza Ali Syahrawardi Andi Amaliyah Maryama Andika Eka Putra Andrianto Setiawan Arief Andy Soebroto Arifandi Wahyu Widianto Arik Khusnul Khotimah Asep Ardi Herdiyanto Askia Sani Atha Milzam Ayudiya Pramisti Regitha Bambang Gunadi Barlian Henryranu Prasetio Basuki Rahmat Rialdi Bayu Febrian Putera Ammal Bayu Kusuma Pradana Bayu Rahayudi Benedict Abednego Hasibuan Bhima Arya Tristya Haryu Niswara Bryan Pratama Jocom Budi Darma Setiawan Caesaredi Rama Raharya Chandra Tio Pasaribu Christian Herlando Indra Jaya Dayu Aprellia Dwi Putri Denis Ahmad Ryfai Desy Setya Rositasari Dhatu Kertayuga Dhimas Tungga Satya Dicky Manda Putra Sidharta Didin Wahyu Utomo Dito Rizki Pramudeka Dizka Maryam Febri Shanti Dona Adittia Donald Sihombing Donald Sihombing Dwi Prasetyo Edi Siswanto Edy Santoso Eka Hery Wijaya Elan Putra Madani Elna Diaz Pradini Eric Aji Panji Kurniawan Erwan Wahyu Andrianto Erwin Bagus Nugroho Fahmiyanto Ekajaya Fakihatin Wafiyah Faris Abdi El Hakim Fariz Andri Bakhtiar Fibriliandani Nur Pratama Fikar Cevi Anggian Firmansyah Arif Maulana Fitra Abdurrachman Bachtiar Galih Putra Suwandi Ganda Adi Khotarto Greviko Bayu Kristi Gustian Ri'pi Hadi Dwi Abdullah Hamid Haryuni Siahaan Healtho Brilian Argario Hema Prasetya Antar Nusa Herlina Devi Sirait Heru Nurwarsito Hilal Imtiyaz I Gede Adi Brahman Nugraha Icha Gusti Vidiastanta Ichwanda Hamdhani Idham Triatmaja Ikhlasul Amal Faj'r Imam Cholissodin Indriati Indriati Irfan Aprison Irvan Windy Prastyo Isnaini Isnaini Januar Dwi Amanda Jiwandani Andromeda Kholif Beryl Gibran Komang Candra Brata Krisna Andryan Syahputra Effendi Krisna Wahyu Aji Kusuma Kukuh Bhaskara Kusuma Ari Prabowo Lailil Muflikhah Lisa Septian Putri Luh Putu Novita Budiarti Luqman Hakim Harum Lutfi Fanani M. Ali Fauzi Mahardeka Tri Ananta Mahdi Fiqia Hafis Marji Marji Maskiswo Addi Puspito Maulana Aditya Rahman Meriza Nadhira Atika Surya Meutya Choirunnisa Moch Cholil Mahfud Moch. Cholil Mahfud Moch. Cholil Mahfud Mochammad Faizal Satria Rahman Mochammad Taufiqi Effendi Mohamad Yusuf Arrahman Muhamad Altof Muhamad Rendra Husein Roisdiansyah Muhammad Anang Mufid Muhammad Arif Hermawan Muhammad Atabik Usman Muhammad Burhannudin Muhammad Denny Chrisna Pujangga Muhammad Fakhri Mubarak Muhammad Hasbi Wa Kafa Muhammad Kurniawan Khamdani Muhammad Regian Siregar Muhammad Resna Muhammad Rouzikin Annur Muhammad Tanzil Furqon Muhammad Vidi Mycharoka Muhammad Zainuri Aziz Mustofa Robbani Niftah Fatiha Armin Ninda Silvia Tri Cahyani Novianto Donna Prayoga Nurudin Santoso Oktavianis Kartikasari Okvio Akbar Karuniawan Priscillia Pravina Putri Sugihartono Putra Pandu Adikara Putra, Firnanda Al Islama Achyunda Putut Abrianto Rachmad Faqih Santoso Rahmat Arbi Wicaksono Ramadhan Anindya Guna Aniwara Randy Cahya Wihandika Ratih Kartika Dewi Raymond Gunito Farandy Junior Rekyan Regarsari Mardhi Putri Renaldy Senna Hutama Reynaldi Firman Tersianto Reyvaldo Aditya Pradana Reza Andria Siregar Reza Rahardian Rhayhana Putri Justitia Rhiezky Arniansya Rhyzoma Grannata Rafsanjani Ricky Marten Sahalatua Tumangger Rihandiko Hari Romadhona Rio Arifando Risda Nur Ainum Risqi Auliatin Nisyah Risqi Nur Ifansyah Rizal Setya Perdana Rizaldy Amsyar Rizki Wulyono Propana Sodiq Robertus Santoso Aji Putro Salam Maulana Sandy Ikhsan Armita Satrio Hadi Wijoyo Siti Febrianti Ramadhani Supraptoa Supraptoa Sutrisno Sutrisno Syafruddin Agustian Putra Syailendra Orthega Syndu Pramanda Galuh Widestra Tibyani Tibyani Tri Afirianto Trio Pamujo Wicaksono Tunggul Prastyo Sriatmoko Vicky Robi Wirayudha Wahyu Dwiky Rahmadan Wildan Gita Akbari Wildansyah Maulana Rahmat William Muris Parsaoran Nainggolan Yamlikho Karma Yayuk Wiwin Nur Fitriya Yori Tri Cuswantoro Yudo Juni Hardiko Yusril Iszha Eginata Yusuf Ferdiansyah Yusuf Nurcahyo Zaiful Bahar