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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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Implementasi Algoritme Modified K-Nearest Neighbor (MKNN) untuk Diagnosis Penyakit Tanaman Cengkeh Rizaldy Amsyar; Nurul Hidayat; Rizal Setya Perdana
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Clove plant have high economic value and one of many export commodity of Indonesian plantation product, in Wonosalam region Jombang Regency there are less well groomed clove farm because the owners are not at all the times in the farm, and thus the plant susceptible to disease and reduced yields from the clove harvest. Needed a way to help farmers to know the types of diseases that attack the clove plants, then made a clove plant diagnosis system using the algorithm Modified K - Nearest Neighbor (MKNN). The diagnostic system will provide clove plant disease information based on inputs of observable symptoms of the plant. MKNN algorithm is the development of KNN algorithm by adding calculation process of data training validation and weight voting. Validation calculation aims to overcome the problem of data that deviates on the KNN algorithm in order to avoid bias and weight voting aims to calculate the weight of the data. Accuracy of clove plant diagnosis system using MKNN algorithm is 96.67%.
Diagnosis Penyakit Tanaman Melon Menggunakan Metode PROMETHEE Dito Rizki Pramudeka; Nurul Hidayat; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cultivation of melon plants requires optimal care and appropriate environmental conditions, as they are susceptible to pest and disease infections. This leads to crop failure due to errors from the handling and selection of the pesticides used in tackling them. The agricultural extensions at this time are still have some difficulty to identify the diseases that attacked the melon plants despite the clear differences between each melon plants and determine the solutions for handling and to eradicate the disease. Based on the said problems, a melon plants' diseases diagnosing system is designed. The Promethee method can be used as a decision-assisting method by comparing the symptoms of one disease with another using the criteria of preference. In the melon plants' diseases diagnosing system using Promethee method's main functions are calculating the value of paired comparison deviation for each disease and calculate the value of stream flow in the form of Entering Flow, Leaving Flow, and Net Flow. The melon plants' diseases diagnosing system using 30 test data resulted in an accuracy rate of 86.67% by using Usual and Gaussian preference criteria. The difference in the level of accuracy in each type of preference is determined by the weight of each symptom from each disease as well as the indifference threshold and the preference threshold used in the calculation.
Implementasi Metode F-KNN (Fuzzy K-Nearest Neighbor) Untuk Diagnosis Penyakit Anjing Dizka Maryam Febri Shanti; Nurul Hidayat; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dogs are one of the favorite animals used as pets. When petting and playing with dogs, oxytocin, stress-related and relieved hormones are released, helping to lower blood pressure as well as cortisol levels. Although dog maintenance has many benefits, the owners should be careful in caring for their dogs. Not a few dogs are attacked by various diseases caused by viruses, protozoa, bacteria and parasites. Dogs who are sick if not immediately get treatment and treatment have the risk of transmitting to dogs and other animals or even to humans. The method used Fuzzy K-Nearest Neighbor. (FK-NN) is a variant of K-Nearest Neighbor (K-NN) method with fuzzy technique. The FK-NN method assigns a class membership value to the sample vector instead of placing the vector in a particular class. FK-NN can be implemented for the diagnosis of diseases in dogs by several stages: calculating the distance between the train data and the test data, taking the smallest distance between the train data and the test data as much as K, Fuzzification and Defuzzification, Class with the highest defuzzification value used as the class for the result classification. The value of K affects the accuracy of the system where the higher the value of k then the tendency of accuracy will decrease. The highest accuracy obtained from the test results is when K = 5 ie with a value of 98.67%.
Sistem Deteksi Kerusakan Mesin Pada Sepeda Motor Menggunakan Naive Bayes - Certainty Factor Alfan Nazala Putra; Nurul Hidayat; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays, motorcycle is no longer a luxury item for most people. Almost the whole community at least had motorcycle. Motorcycle became one of the main means of transportation which more dynamic and faster compared to other means of transport, and this is provable by the large number of motorcyclists compared to another user of transportation means on the road. Not surprising that motorcycle is the largest cause for accident in traffic. One of the causes of the accident on a motorcycle is from motorcycle engines. But as most motorcyclist are still much less savvy about the damage to their motorcycle engines because there are various kind of failure. A method of classification can be implemented into the software to know which part of motorcycle engines that get damaged or failure. One example is the Naive Bayes. Naive Bayes Classifier is a simple probability classification based on Bayes theorem which has Bayes inference in general, especially with a strong independence of assumptions. The theory of certainty using a value called the Certainty Factor (CF) to assume a degree of confidence to a data. The variable used in this study is a list of symptoms and damage to motorcycle engines. Highest accuracy resulting in this research is 90%.
Implementasi Metode Fuzzy - Tsukamoto Untuk Diagnosis Penyakit Pada Kelamin Laki Laki Yusuf Ferdiansyah; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Venereal disease is a disease that strikes in the genital organs of male or female which usually brings in through sex or oral sex. Venereal disease has long been scattered in several countries, one of them in Indonesia. Venereal disease has become so important that discussion after the AIDS disease cases arise which cause a large number of victims died. Venereal disease can be transmitted from one person to another through sexual contact. In Indonesia, the sexually transmitted disease that is most widely found is syphilis and premenstrual syndrome, the prevalence of sexually transmitted diseases in Indonesia is very high in Jakarta found prevalence of premenstrual syndrome 29.8% 25.2% and syphilis, chlamyd He was 22.7%. Tsukamoto Fuzzy method is a method that has a tolerance on the data and very flexible. The advantages of the method are namely Tsukamoto is intuitive and can give feedback based on information that is not accurate, qualitative, and ambiguous. On the methods of Tsukamoto, each Rule is represented by a set of Fuzzy membership functions with a monotonous called fuzzifikasi. As a result, output the result of each Rule in the form of value of the firm (crisp) based on α-predicate or the minimum value of each Rule and the value of z. end result is obtained by performing a weighted average defuzzifikasi. In this research the required variable is a list of symptoms and venereal disease in men is accompanied by a weighted. This research resulted in an average accuracy rate of 81.67% system.
Diagnosis Penyakit Pada Bawang Merah Dengan Menggunakan Metode Fuzzy Tsukamoto (Studi Kasus : UPTD. Pembibitan Ternak Dan Hijauan Makanan Ternak Kec. Singosari Malang) Firmansyah Arif Maulana; Nurul Hidayat; Satrio Hadi Wijoyo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The onion is one of horticultural plant. The onions plant contain abundant substances that act as an antibiotic, stimulate the body cell growth, repress bacteria activity, and also contain vitamin B1. Some factors could affect farmer's harvest result, one of them is pest attack. In fact, many farmers don't know how to treat and detect the pest attack on their plants. Based on that case, the system “Onion Disease Diagnose Using Fuzzy Tsukamoto Method (Case Study: UPTD. Cattle Breeding and Green Animal Feed Kec. Singosari Malang)” was built in this research. Fuzzy Tsukamoto method was used to diagnose the disease of onion plant. The result of diagnosis in this system was an onion disease. This system testing used the disease data from BPTP Malang, East Java. The onion disease diagnose experiment result showed 80 % accuracy.
Implementasi Metode Naive Bayes Pada Diagnosis Penyakit Lambung Trio Pamujo Wicaksono; Nurul Hidayat; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Internal disease is a disease associated with many vital organs in the human body, one of which is the Stomach. Stomach is an important organ in the body because it is one of the digestive organs of food and beverages consumed by humans. Gastric disease is less known to the public due to lack of information and knowledge about gastric disease so that people ignore the symptoms that arise. Lack of gastric disease specialist doctors also become the trigger of obstacles in the role of prevention of stomach disease early on so that required a system that has the ability as an expert by providing a certainty value. Therefore, based on the needs of a physician and the general public in overcoming the shortage of doctors, it takes an expert system application that is capable of diagnosing gastric disease so that the community needs for handling the illness can be fulfilled, it can be built software engineering with Naive Bayes method to diagnose disease hull using android based applications.
Implementasi Fuzzy Inference System (FIS) Pada Metode Tsukamoto Dalam Peramalan Produksi Roti (Studi Kasus: Harum Bakery) Meriza Nadhira Atika Surya; Nurul Hidayat; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays, bread has became a trend of food that is much favored not only by foreign residents, but also by the people of Indonesia. The problem in Harum Bakery is still having difficulty in the production of bread because the method used is still conventional because the calculation used is still limited to its own estimates so that the bread produced sometimes the amount of excess or lack. In this study, the method used in this study is Fuzzy Inference System (FIS) Tsukamoto. This method is good enough to be used in the case of forecasting a production. From the system with the FIS method Tsukamoto, is expected to help the company so as to minimize losses and optimize profits. The results obtained were then evaluated by the RMSE method, the lowest error rate during the tests using 20 training data on the sweet bread with the result for sweet bread that is 69,9957142, and the bread cake is 8,77496439. Then for forecasting, the best result is using 60 training with RMSE value of 3.47850543.
Diagnosis Hama Penyakit Tanaman Bawang Merah Menggunakan Algoritma Modified K-Nearest Neighbor (MKNN) Mohamad Yusuf Arrahman; Nurul Hidayat; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Red onion (Allium cepa L.) is a spice vegetable that is quite popular in Indonesia, has high economic value, serves as flavoring, and can be used as a traditional medicine ingredient. . However, obstacles encountered in the process of planting onions, one of the pests and diseases that often lead to crop failure. One method to diagnose diseases of shallot plants can be done with modified k-nearest neighbor (MKNN). The expert system of onion plant disease diagnosis using the k-nearest neighbor (MKNN) modified method can make it easier to detect diseases that attack onions based on symptoms. The k-nearest neighbor (MKNN) modified method is implemented on an expert system inference engine in order to draw conclusions based on existing knowledge on the knowledge base. Results obtained after the system accuracy test of 83.33% indicating that the modified k-nearest neighbor (MKNN) method is suitable for clove plant disease onion.
Diagnosis Penyakit Ikan Mas Koki Menggunakan Metode Naive Bayes Classifier Muhammad Hasbi Wa Kafa; Nurul Hidayat; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Indonesian state as a maritime country has thousands of species of fish. Various types of fish found in Indonesia, not only fish that can be consumed alone but Indonesia also has a variety of types of ornamental fish are very popular. One of the most popular ornamental fish is the goldfish chef, so it is not surprising that the demand for goldfish is increasing. From time to time many people are looking for a goldfish chef. Its high selling price also provides its own blessing for its business. Of course the goldfish cultivation is a gold field for farmers to gain profits. Cultivating the goldfish can be said is not difficult, but there is something to note in some ways because these fish including fish that are susceptible to disease. Illness may arise due to improper maintenance of the goldfish. The number of symptoms of the disease in the goldfish often makes cultivators difficult to identify the disease, so in the handling of goldfish disease chef also experienced a mistake. Therefore, a system that can help in identifying the goldfish disease properly. By using the method of calculation Naive Bayes Classifier has obtained 90% accuracy of the system which means the system can run well because the results from the system close to the similarity with the actual field facts.
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