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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 Diagnosis Penyakit Pada Tanaman Melon Menggunakan Metode Naive Bayes Erwan Wahyu Andrianto; Nurul Hidayat; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Melon is one of the most popular fruits in Indonesia. According to experts Antok Wahyu Sektiono melon which has Latin name Cucumis Melo included in the tribe of pumpkin or Cucurbitaceae. However, in Indonesia itself, melon fodder according to the survey from the Ministry of agriculture actually has doubled from 2008 to 2013. The mentioned problems can be solved by recognizing the common symptoms of melon disease. Common symptoms have similarities with other symptoms of the disease, so the public difficulty in recognizing the common symptoms of melon disease with other diseases. The problem of recognizing the symptoms of melon disease can be solved by expert system. Expert systems apply knowledge of melon disease symptoms into the system. Android is a mobile-based operating system. Android itself has a lot of users in Indonesia. For that android-based expert system certainly can reach the wider community. The method used in this expert system is Naive Bayes. The method is implemented on expert system inference engine in order to make a conclusion based on knowledge available on the knowledge base. Results obtained after an accuracy test of 96% indicating that the method of Naive Bayes is suitable for cases of melon disease.
Sistem Diagnosis Penyakit Pada Tanaman Melon Menggunakan Metode Forward Chaining - Certainty Factor Irfan Aprison; Nurul Hidayat; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Knowledge of melon plants is a must for the cultivators of melon plants, one of the knowledge is the diseases that can attack melon plants. Melon plant disease is one of the obstacles that faced by cultivators of melon plants. However, lack of understanding owned by the cultivators and the unavailability of disease experts in horticultural crops is one of the main factors that hold up the development of agriculture in melon plants. Thus, in melon plant problems can be developed melon plant disease diagnosis system. The method used is Certainty Factor, this method can accommodate uncertainty and describe the level of confidence of an expert against the facts. The melon plant diagnosis system receives input from the user and then the input will be calculated based on the trust level based on the user and the expert. After that, it will be compared with every single disease where the disease has the largest percentage that is believed to attack the melon plant. This research coantains 36 symptoms and 10 types of diseases in melon plants. In testing, this research used validation testing (black box) and accuracy testing. In the validation test obtained functionality level of 100% indicating the system in accordance with the list of needs. The accuracy rate of this system is 80% gain from accuracy test which indicates that this system is able to function well using Certainty Factor.
Sistem Diagnosis Penyakit Tanaman Kentang Menggunakan Metode Fuzzy Tsukamoto (Studi Kasus Pada Balai Pengkajian Teknologi Pertanian Kota Malang) Achmad Dwi Noviyanto; Nurul Hidayat; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Potato in indonesia is one of the important food, Because has several what nutrition have more so than with rice. The with is e istence of these potato crops the potato farmers have a relatively high economic value. Lately consumers who consume potatoes also tend to increase. The with that level then potato farmers will also add a lot, worried about the more diseases of potato crops that can harm the potato farmers. In potato disease control potato farmers should be able to know potato diseases and their solutions appropriately and correctly. The with application that the author made this can be made in the guidelines of the potato farmers in how to detect and know the solution of disease prevention suffered by the potato plant. In the application that the author made it can detect 10 diseases of potato plants with 37 symptoms suffered. In this application apply the concept of artificial intelligence, by using fuzzy tsukamoto method. The application that we created has been validated by e pert potato plants with a level of accuracy obtained from the system of 100%.
Implementasi Metode Naive Bayes-Certainty Factor Untuk Diagnosis Penyakit Pada Kelamin Laki-Laki Bayu Febrian Putera Ammal; 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

Sex has become the most basic instinct of every creature in this mother Earth. Sex is essential to survive a life as in preserving the species' generation. However, the lack of sex education leads into a free sex lifestyle. This jeopardize lifestyle has increased these years with its sexually transmitted disease as one of the following risks. Sexually Transmitted Disease (STD) which are infecting men and can be contagious to other people includes Gonorrhea, Syphilis, Herpes, HIV/AIDS, and Human Papilloma Virus (HPV). Thus, symptoms can be an indicator to discover what disease which infect the human's body. However, some sexually transmitted diseases have similar symptoms that might lead in a wrong first aid for the patients themselves and ironically result in the severity of that disease. Besides, a wrong first aid will cause the disease to be more contagious especially to that patient's intimate partner as well. Therefore, Naive Bayes-Certainty Factor is needed to reduce the misdiagnosed. This study used Naive Bayes-Certainty Factor method in diagnosing the STD in men. The analysis was done by comparing the results of the system diagnosis with the expert diagnosis. From 35 data testing, the result showed that there was 85% of the accuracy in diagnosing Men Sexually Transmitted Disease by using expert diagnosing system with Naive Bayes-Certainty Factor method.
Penentuan Kelayakan Kandang Sapi Menggunakan Metode AHP-TOPSIS (Studi Kasus: UPT Pembibitan Ternak dan Hijauan Makanan Ternak Singosari) Edi Siswanto; Nurul Hidayat; Nurudin Santoso
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

Cowshed is provided to shelter cows from the unfavorable weather and confine the cows' mobility in such a way that the fattening process gives rise to the accelerated increase of the bodyweight. Besides, cowshed of decent quality which is clean and comfortable can prevent cows from disease organisms to achieve the maximum rearing result. The problems confronted UPT-PT and HMT in Singosari in determining the decency of cowshed comprise the time efficiency and the difficulty in determining the criteria parameter used to assess the decency of the cowshed. The solution thereto is to capitalize on an intelligent system which, on the basis of the data supplied by UPT-PT and HMT in Singosari, provides a recommended measure of determining decency. The system is created in web-based using Analytical Hierarchy Process (AHP) method and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The AHP method was employed to gain the weight value of each criterion to be used in stage of weighting which yielded the preference value for each alternative in the TOPSIS method. The system output is an alternative data ranking based on its preference value. Testing was conducted by altering the pairwise comparison matrix in terms of the system prior to the matching between the system output and the actual data to get the level of system accuracy. The level of accuracy of the system obtained is 84.8%.
Komparasi Metode Data Mining K-Nearest Neighbor Dengan Naive Bayes Untuk Klasifikasi Kualitas Air Bersih (Studi Kasus PDAM Tirta Kencana Kabupaten Jombang) Maulana Aditya Rahman; Nurul Hidayat; Ahmad Afif Supianto
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

Water is a chemical compound that is needed for the survival of living things on earth. The widest area on planet earth is water that covers almost 71% of the region on earth. Water is also a very important substance on earth that is needed by all living things from plants, animals and humans. It takes the supervision and processing of the environment around the water source so as to produce clean water quality in accordance with the standard of clean water quality and meet the standard of water that is suitable for human consumption. To determine the classification of clean water quality there are many methods that can be used. To choose the best classification method, it can be comparated between several methods. This study comparing the K-Nearest Neighbor and Naive Bayes methods. Based on several studies, the K-Nearest Neighbor and Naive Bayes methods are quite good and yield a high degree of accuracy. Based on the test result, the average accuracy value of K-Nearest Neighbor method is 82.42% and the average accuracy of Naive Bayes method is 70.32%. It can be concluded that the best method for water quality classification is K-Nearest Neighbor method.
Optimasi Travelling Salesman Problem With Time Windows Pada Sistem Rekomendasi Tujuan Wisata Di Kota Batu Dengan Metode Evolution Strategies Dicky Manda Putra Sidharta; Nurul Hidayat; Edy Santoso
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

Tourism has an important contribution in the Indonesian economy. City of Batu is one of the place that have a great tourism potential. Having a cool characteristic of the weather becomes one of the more values for city of Batu. Batu has various tourist destinations, both natural and artificial tourism. Many choices of tourist destinations is a good thing for tourists. On the other side, because of the many choices of tourist destinations, can cause tourists difficult to divide travel time in accordance with expectations. The problem is often experienced by tourists is when they want to visit a tourism place, but did not have time to visit the other one. Tourists need to have an overview of the travel route in order to get an effective tour schedule. Looking for the best travel route with minimum cost, but it can visit some tourist places optimally. Looking for the best tour route considering time variables can be called Traveling Salesman Problem With Time Windows (TSP-TW). TSP-TW can be solved by using a method in the concept of Evolutionary Algorithm, Evolution Strategies (ES). Based on the results of tests that have been done using the following parameters are the number of population size is 90, the number of offspring is 7µ, and the number of generation is 6, that generate the highest fitness value of 0,0011223345. The final result obtained in this research is an optimal tourist route in the city of Batu.
Implementasi Metode Naive Bayes-Certainty Factor Untuk Identifikasi Cedera Pada Pemain Futsal Rhiezky Arniansya; Nurul Hidayat; Ratih Kartika Dewi
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

There are still many futsal players who think that injury can recover quickly without having to go through the right handling. There are injuries that injury can get worse if the initial handling is wrong. That's because the lack of understanding of players about injury. Injury treatment can be done by the physiotherapist but it was hit because of the lack of physiotherapist available for handling. In the research will be made an identification system to reduce these limitations by implementing the method of Naive Bayes-Certainty Factor-based android to diagnose the injury that affects futsal players. The results show that the use of Naive Bayes-Certainty Factor method has accurate results and a good and accurate diagnosis, since the output produced by the system has an accuracy of 88.57%. Hopefully with this application will be able to help the players futsal to know injury or handle injury and add insight about any injuries that can befall him.
Diagnosis Penyakit Kelamin Laki-Laki Menggunakan Metode Bayesian Network Yori Tri Cuswantoro; Nurul Hidayat; Ratih Kartika Dewi
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 attacks the male and female genital organs that are usually transmitted through sex or oral sex. In Indonesia, the most common sexually transmitted diseases are syphilis and gonorrhea, the prevalence of sexually transmitted diseases in Indonesia is very high, in Jakarta the prevalence of gonorrhea is 29.8%, syphilis 25.2% and chlamydia 22.7%. Everyone can get a sexually transmitted disease. The tendency of increasing the spread of this disease is caused by the sexual behavior of multiple partners, and the existence of a high premarital sexual relationship. Bayesian Network is a simple Probabilistic Graphical Model (PGM) built from probabilistic theory and graph theory. The variables needed in this study are symptoms of male genital disease. After the symptoms are entered, it will be processed by the Bayesian Network. The result of the bayesian network is the diagnosis of male genital disease. The accuracy obtained from the test results is 88.57%.
Diagnosis Penyakit Cabai Dengan Menggunakan Metode Forward Chaining - Dempster-Shafer Eka Hery Wijaya; 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

Chili pepper (Capsium annum l.) is a commodity many vegetables that get attention because it has a fairly high economic value needs increasing the longer the chili annually in line with the development of an industry that requires Chili, raw material of this plant to be one of the types of plants that are desperately needed by everyone in Indonesia because the majority of the population of Indonesia likes spicy food. In the last few years there have been many farmers began to plant the cabaisebagai one of the alternatives in the farm. Almost every citizen of Indonesia need a chili pepper used to add spicy flavors in the dish. Cabaibesar is a one of a kind hybrid chili pepper which is very sought after by farmers to cultivated because it has a high economic value. Drew poduktif and have a broad market. This system design method using Forward Chaining and Dempster-Shafer to provide suggestions or considerations to farmers to determine superior varieties of chili peppers. The result of this method of the form perangkingan. Method of Forward Chaining inference engine functions as based on the facts that exist after it was calculated with the method of Dempster-Shafer. In this study performed a test by measuring the level of accuracy that produce value the accuracy of 90%. So that the system that is created by using the method of Forward Chaining and Dempster-Shafer can be applied to diagnose diseases in crops of chili.
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