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Nurul Hidayat
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Sistem Pakar Diagnosis Penyakit Pada Tanaman Jagung Menggunakan Metode Naive Bayes Berbasis Android Achmad Syarifudin; Nurul Hidayat; Lutfi Fanani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Corn crop disease is one cause of production of corn is not a maximum, downy mildew can cause harvest failures up to 90% , the presence of an expert would be helpful in terms of solving the diseases that attack plants of corn by means of identifying the symptoms that plagued and conclude what disease attack and provide information to settle the issue. Naive Bayes method is a method used to predict probabilities. While Bayes classification is the classification of statistics that can predict the probability of a class member. For a more simple Bayes classification known as naive Bayesian Classifier can be assumed that the effect of an attribute value is a class given is free of other attributes. The required variable in this study are the symptoms on the leaves, stem and cob of corn plants. The results of this research testing showed all functional requirements are valid, the accuracy of the system are 96% and the results of usability testing stated it very well.
Sistem Pendukung Keputusan Penentuan Kelayakan Kandang Ayam Broiler Menggunakan Metode Analytic Hierarchy Process-Weighted Product (AHP-WP) [Studi Kasus PT. Semesta Mitra Sejahtera Wilayah Jombang, Kediri, dan Tulungagung] Ichwanda Hamdhani; Nurul Hidayat; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The rapid development of chicken meat affects the performance of chicken farmers, especially broiler chickens. In order to produce a quality broiler chicken, one of the factors that influence it is the feasibility of the chicken coop. Of these problems, it takes an application that is capable of processing data to make a decision support system that is useful in giving the right decision about the eligibility of broiler chicken coop. The AHP-WP method was chosen because it was able to select the best alternative from a number of alternatives. Testing of the method used is to make changes to paired matrix comparison to get the priority weighting criteria. The lowest matching result on the 1st matrix with the value λ_max = 7.457649, the value of CI = 0.076275, the value of CR = 0.057784 produces a match rate of 69%. Meanwhile, the highest match rate in the 6th matrix with the value of λ_max = 7.769787, the value of CI = 0.128299, the value of CR = 0.097197 produces a match rate of 94%.
Sistem Diagnosis Penyakit Sapi Menggunakan Metode Neighbor Weighted K-Nearest Neighbor Berbasis Android Idham Triatmaja; 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

Problems in raising cattle is infection of disease. Infection of diseases that arise in each cow can be different so that required accuracy in making the diagnosis (Pambudi, 2010). Cattle ranchers are sometimes difficult to know cow disease due to the limited knowledge of breeders of cattle disease. The difficulty of seeking medical personnel such as veterinarians becomes a problem for farmers because they can not quickly handle cows affected by the disease. When cattle are infected with disease, experts / experts such as veterinarians are very necessary in overcoming it. Based on the explanation of the problem it will be designed an system by combining the object of cow disease research and the NWK-NN method. The title of the study was "System of Cow Disease Diagnosis with Neighbors Weighted K-Nearest Neighbors Method based on Android". There are 11 types of cow disease including Abscess, Ascariasis, Bloat, Bovine Ephemeral Fever (BEF), Endometritis, Entritis, Mastitis, Omphalitis, Pneumonia, Rentensio, and Scabies. This cow disease diagnosis system has the main process of calculating Euclidean distance, determining the data of a number k of neighborhoods, determining the membership value of each data for each class determining the membership value of each class and determining the largest membership value. The variable values ​​of k=5, 10, 15, 20 and 25 have an average accuracy of 97.56% while for the value of k>25 has a decreasing average accuracy. The stable average accuracy is k with values ​​5, 10, 15, 20 and 25 with an accuracy of 97.56%.
Implementasi Metode Dempster-Shafer untuk Mendeteksi Penyakit Diabetes Mellitus Januar Dwi Amanda; Nurul Hidayat; Marji Marji
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

Early detection can minimize the risk of death from Diabetes Mellitus disease and first treatment for this disease. The detection that existed so far is still don manually, which means it depend on the expert who very limited on itquantity and also it diagnosis are costly. The disease expert can detect Diabetes Mellitus earlier and cheap. On this research this kind of Diabetes Mellitus that can be detected as many as 3 disease using Demspster-Shafer Method with input from user of symptoms. The method is used to analyze the data of system accuracy test between the detection and the result of Dempster-Shafer method calculation with 11 case data has the data accuracy level of 81,81%
Diagnosis Penyakit THT Menggunakan Metode Fuzzy Tsukamoto Berbasis Android Fahmiyanto Ekajaya; Nurul Hidayat; Mahardeka Tri Ananta
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

During this time the diagnosis of the disease always relies on clinical or laboratory estimates. Where with it many found deficiencies that resulted in losses for the patient in managing time. Based on the inventory data and the number of requests, it is designed a decision support system using the method fuzzy tsukamoto.In the diagnosis system of THT diseases with android based The demand variable consists of two fuzzy set, namely: DOWN, and NAIK, inventory variable consists of two fuzzy set, : LITTLE, and MANY, while the production variable consists of two fuzzy sets namely: REDUCE, and ADDED. The calculation of accuracy in this study was not separated based on each disease but accuracy for the whole disease and resulted in an accuracy of 93.75%
Klasifikasi Kelompok Varietas Unggul Padi Menggunakan Modified K-Nearest Neighbor Aldion Cahya Imanda; Nurul Hidayat; Muhammad Tanzil Furqon
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

Supreme varieties is a kind of varieties that produced from the cross of local supreme varieties. The main idea is to produce the best rice varieties. Nowadays the supreme varieties becoming an national important production component which is each of varieties have their own ecosystem. That's why the classification system is required. Classification engineered by adapting from data mining. The method that used is Modified K-Nearest Neighbor to predict a class from unclassified data. Based on the test that have been done the highest accuracy is 79,96% and the minimum accuracy is 51,2%.
Sistem Pakar Diagnosis Penyakit Hati Menggunakan Metode Fuzzy Tsukamoto Berbasis Android Achmad Igaz Falatehan; Nurul Hidayat; Komang Candra Brata
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

The liver is a vital organ in humans. Because the vital liver function, the liver health needs to be maintained. However, in Indonesia alone, especially Hepatitis liver disease based on survey from the health ministry actually has doubled from 2007 to 2013. In 2013, it is estimated that there are 1.2% of Indonesians who suffer from Hepatitis. Based on WHO survey It is estimated 95% of people with early symptoms of Hepatitis do not know that they are at risk of Hepatitis. The mentioned problems can be solved by recognizing the common symptoms of liver disease. The problem of recognizing the symptoms of liver disease can be solved by using an expert system. Expert systems apply knowledge of symptoms liver disease into the system. The Fuzzy Tsukamoto method is one of the methods that can be used to process the input value of symptoms into a disease diagnosis. In this research will use Fuzzy Tsukamoto method to diagnose liver disease based on input value of the symptoms that produce output of detected yes or not a liver disease. Based on the results of tests that have been done in this study resulted in accuracy testing of 64 test data 96,87%.
Kelompok Penyakit Tanaman Apel Menggunakan Metode K-Means Berbasis Web Askia Sani; 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

The state of a good apple plant can be detected by identifying the disease in apples. One method to detect apple disease can be done with K-Means. Application of apple plant disease grouping using this android based K-Means method can make it easier to detect the apple plant penyakti, this application is based on android so that users can easily run this application anywhere and anytime with the user's mobile phone. This is where the discussion is about building a detection sistem application that users can use to detect the presence of pests in apple plantations. Application of diganosa sistem of apple plant disease can display diagnosis result quickly and precisely based on the symptoms entered by user. To make the diagnosis become very valid, then the data of symptoms included into decision support sistem is a symptom data, must be complete meaning of symptoms that can lead to a disease must be entered in full, because conclusion of diagnosis result (percentage) shown counted Automatically by the sistem using K-Means.
Optimasi Komposisi Pupuk Tanaman Jagung Menggunakan Algoritme Genetika Arik Khusnul Khotimah; 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

At this time, produce of corn can not be fill the needs in this country. This caused productivity of corn decreased in a few years. The way to solve that problem is increase productivity of corn. Some of the way to increase productivity of corn is balance fertilizer. For fertilization, the main problem of farmers is the high fertilizer price mainly type N, P, and K fertilizer. Therefore, it need some data processing for measuring the composition of fertilizer with price of fertilizer for the best result. The result of data processing can be used for farmer to measure the composition of fertilizer which fit with the best price recommendation. This research used genetic algorithm. This algorithm used to optimize composition of fertilizer. The solution of this algorithm use representation chromosome real code, crossover process use one cut point, mutation process use reciprocal exchange mutation, and selection process use binary tournament selection. Based on testing, the optimal result is on size of population as much 9, 12 generation, crossover rate composition and mutation 0,7 and 0,3, 0,4 and 0,6, 0,1 and 0,9, 0 and 1 with highest fitness is 0,8403.
Sistem Pendukung Keputusan Rekomendasi Pemberian Usaha Kredit Mikro (UKM) dengan Metode AHP-SAW (Study Kasus: PD. BPR Bojonegoro) Siti Febrianti Ramadhani; Nurul Hidayat; Suprapto Suprapto
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

BPR Bojonegoro is a Regional Owned Company under the auspices of Bojonegoro District. The following saving facilities provided by PD. BPR Bojonegoro namely Time Deposit, Savings which includes Saving Sight, Tapeda Saving, SWP Savings (Savings Borrower Savings) consisting of Employee Loans, Business Capital Loans. In the case of determination of credit in the Bank, (DSS) Decision Support System is needed in the decision of credit lending because it feels too risky for a credit given by the bank so that in the future does not cause problems that complicate the customer or harm the bank. In giving credit decisions used in PD. BPR Bojonegoro obtained from the surveyor survey, has not used the accurate method of selecting the creditor candidate. Therefore it is necessary method capable of supporting decision making more quickly, precise and accurate. In this research, the method used is AHP-SAW method. The AHP (Analitycal Hierarchy Process) method is chosen because of AHP's ability to handle problems with multiple criteria. These criteria are arranged hierarchically to solve major problems into sub-issues. The output of the AHP method is the weight of each criterion. This weight is used in SAW (Simple Additive Weighting) to determine the rank of the credit recipient. This research performs accuracy test with 89% result and usability testing test equal to 72,82%.
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