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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 Tumbuhan Mangga Menggunakan Metode Naive Bayes Mochammad Taufiqi Effendi; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mango productivity can compete with the rapid local and export markets which are opportunities for Indonesian farmers, but farmers must increase the yield of mangoes to increase marketing competitiveness due to the various inhibiting aspects including diseases. In the Mango Plant Diagnosis System Using the Naive Bayes Method aimed to assist farmers in overcoming the problem of diagnosing mango plant diseases. This system wad built based on the problems that occurred in farmers, namely the difficulty in recognizing the types of mango plants, due to the many similarities in the symptoms of mango plant diseases. Mangoes have long been felt by farmers causing the deflation of mangoes' crop yields. In 2015 a decrease of 10.39 percent from 2014 was 2.43 million tons to 2.17 million tons. Naive Bayes method which selected in this study was a method used to predict probability. This system was used on Android systems, because it was quite efficient and popular among the public. The results of testing this study indicate that, in testing the accuracy of 30 test data get an accuracy rate of 87.5%.
Identifikasi Kerusakan Mesin Pada Sepeda Motor Menggunakan Metode Modified K-Nearest Neighbor (MKNN) Adhiyatma Mugiprakoso; Nurul Hidayat; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The transportation vehicle most used by the public today is motorcycles. According to data from the national statistics center, 81.5% of the transportation equipment used by the public is motorcycles from all transportation equipment in Indonesia. Motorcycles have advantages compared to other transportation equipment such as low maintenance costs, affordable prices, economical fuel and low maintenance costs. On motorcycles there can also be various problems with the engine which can interfere with driving comfort or even accidents. Many of the motorcycle riders have little knowledge of motor engine damage. Of the many classification methods that can be used to repair machine damage, one of them is the Modified K-Nearest Neighbor (MK-NN) method. The method studied the pattern of previous examination data based on symptoms of demage with eucledian distance calculation process, calculation of validity value and weighted voting calculation that the end result is used for class classification determination based on predetermined value of k. To identify damage to a motorcycle engine by using 9 types of damage with 13 symptoms and a total of 110 training data. The highest accuracy obtained from the test results was 86.67%.
Sistem Diagnosis Penyakit Tanaman Kentang Menggunakan Metode K-Nearest Neighbor Syndu Pramanda Galuh Widestra; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Potato is one of the potential plant to be grown by people. The production and productivity of potato in indonesia decreases each year. Badan Pusat Statistik (BPS) takes a note of the potato production in Indonesia and it is getting reduction of 9.82% from 1.176.304 ton in 2009 to 1.060.805 ton in 2010. The potato productivity also decreases from 16.51 t/ha in 2009 to 15.95 t/ha in 2010. The problem which causes its decreasing productivity is pest attacks and disease, so it needs a system which can help to diagnose it since early time from the pest attacks and the diseases of potato. Method which can be applied to solve the problem in diagnosing the disease as well as doing the prediction is by using K-nearest neighbor (kNN). Based on the functional testing, the disease diagnosis system in potato plants works well according to the design requirements and successfully implemented in the form of a software. In this study, the number of K have little effect on the accuracy, because after being tested, it turns out that the more the k value does not guarantee its accuracy, and vice versa. The K-nearest neighbor method is good for the diagnosis of potato plants because it produces result an average accuracy of 91.785%.
Implementasi Algoritme Association Rule Untuk Pencarian Perilaku Pengguna Internet Dalam Mengakses Sebuah Website Menggunakan Metode Modified-Apriori Adhitya Pratama Wijayakusuma; Nurul Hidayat; Ahmad Afif Supianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 5 (2019): Mei 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The search pattern is one of the ways that you can use to specify the search in the form of recommendations suggest that appears on the internet user's browser, by looking at how often the Web sites visited by the users simultaneously other Internet. Research on the hidden patterns that are found in the database into a field that is in great demand these days. In the hidden pattern, there is some useful information. Large-scale data will have difficulty when analyzed with simple data analysis so that it takes a special technique to be able to analyze large scale data, i.e. data mining. The results of the analysis will result in a sistem that would later figure out patterns of internet users accessing a website from the results of analysis of the association between websites that are frequently opened simultaneously, after knowing the pattern It then can be used as a recommendation sistem search. So, in this study using a sales transaction data to determine patterns of sales by using Association Rule algorithm and Modified-a priori from data mining. Association Rule is a method for finding interesting relationships hidden in data by using the calculation of the value of the support and confidence. Algortime Modified-a priori is the development of the a priori algorithms searching frequent itemset with joining processes (join) and pruning (prune) and produce a faster time efficiency using hash compared with the a priori algorithms. The technique used is the hash with the hash map. The data used in this research is the internet user search data retrieved from history browser internet users as much as 20 users with the number of transactions by as much as 300 transactions. The results of this research have the minimum value of the highest support i.e. 34.11% and generates the rule amounted to 2. Minimum confidence highest i.e. 80.00% and generates the rule amounted to 3. The length of the itemset that is formed are 2-and 3-itemset. Obtained as a rule that has a lift ratio of more than 1.
Implementasi Analytical Hierarchy Process pada Penetapan Hakim di Pengadilan Negeri Malang Herlina Devi Sirait; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The judge is an official who can try in a court of law in a country. Every day the head of the court makes a judge's decision to handle cases of various types and classifications. Cases that are registered by the plaintiff for each day have an average of 8 to 10 cases and for each week 35 to 40 cases. Whereas the judge's appointment time is quite short, which is a maximum of 3 days and at least 1 day. The head of the court experienced a difficulty in making a judge's decision because of the fairly short amount and timing of the stipulation. Then a system is needed that hopes to help the effectiveness of the selection of a judge so that the determination of the judge is faster and does not exceed the predetermined time limit. The method used in determining this judge is the Analytical Hierarchy Process. The criteria used are leadership, cases handled, and length of decision. Each criterion has sub-criteria, namely: cases handled have the same type and classification sub-criteria, different types but the same classification, different types and classifications. The length of the verdict has sub-criteria is not good, the decision is long enough, long the decision is good, and the decision is very good for a long time. Leadership has sub-criteria of chairpersons, member judges, and single judges. The system output results in 5 alternative order judges with the highest to lowest values. Spearman rank correlation method as a method of testing the results of the system with results from experts. From the tests that have been done, it is obtained a correlation value of 0.646, the value means that the correlation obtained from the comparison of system results and experts is a strong correlation.
Sistem Diagnosis Penyakit Bulai Pada Jagung Menggunakan Metode Fuzzy Tsukamoto Hema Prasetya Antar Nusa; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Bulai disease disease that infects of a corn plant and sorghum .Bulai caused by fungi peronosclerospora spp. Bulai disease caused by fungi peronosclerospora spp .Is one of the problems that have frequently afflicted by grower of corn , not only in indonesia but also all over the world. In indonesia bulai disease causing loss of field 50-80 %.Even in south sulawesi, bulai disease can result in loss of the reached 90 %. Climate factors as humidity and air temperature significantly impacted on the development of peronosclerospora spp . Especially on the wetness in over 80 % and temperature 28- 30°C and the existence of dew. But many farmers are still experience crop failure because of the trees did not notice that the trees were infected by bulai or late know if their plants bulai and do not know how to handle bulai .Hence there is a need for the tools to diagnose a disease of plants bulai early. data onBased on the background detailed, in this study author choose a method of fuzzy tsukamoto to build a system in diagnosing disease bulai in corn. uses the fuzzy tsukamoto”. The data used in the application is the data on symptoms of disease of bulai. in cornThe output of application be diagnosis information detected disease bulai in corn or not. The results of the system in the form of output for it easy for users in knowing about of illnesses suffered by the. The fuzzy tsukamoto to research it uses rule and degrees membership dissimilar to any symptoms depend on the maximum and minimum membership than degrees set user and the best result obtained when the inputan are at the limit below the value minimal or above the maximum. The result of reckoning or accuracy of value system as much as 88,33 % accuracy.tsukamoto to research it uses rule and degrees membership dissimilar to any symptoms depend on the maximum and minimum membership than degrees set user and the best result obtained when the inputan are at the limit below the value minimal or above the maximum. The result of reckoning or accuracy of value system as much as 88,33 % accuracy.
Peramalan Hasil Penjualan Perhiasan Emas Menggunakan Metode Exponential Smoothing (Studi Kasus: Toko Emas Rejeki Baru Sumenep) Risqi Auliatin Nisyah; Nurul Hidayat; Ahmad Afif Supianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 7 (2019): Juli 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Gold is a precious metal which is one of the important roles in people's daily lives. Gold jewelry is usually sold in large places such as markets to small shops. The rise and fall of the sales of gold obtained by the seller is difficult to predict, one of the contributing factors is the uncertain gold price following the fluctuation of the rupiah exchange rate against the dollar. Though knowing the results of future sales can help the seller to know the benefits and losses in the coming period. Therefore, it takes a system that functions to do forecasting to find out the results of automatic gold sales with the Exponential Smoothing method which is one of the forecasting methods that can perfect a forecasting result by smoothing on past values ​​that function to produce forecasting values. Then, error evaluation of forecasting results was performed with Mean Absolute Percentage Error (MAPE). The lowest MAPE results obtained were located in the SES method when the parameter α = 0.4 with a value of 56.64. Based on the MAPE value that has been obtained using the three methods on Exponential Smoothing, the results obtained above 50, then the Exponential Smoothing method is not suitable to be used to calculate forecast sales of gold.
Penerapan Metode Fuzzy Analitycal Hierarchy Process dalam Penetapan Panitera Pengganti di Pengadilan Negeri Malang Haryuni Siahaan; Nurul Hidayat; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the world of law as in Indonesia, a court is needed to conduct a trial. An institution that has the authority to deal with the case is the District Court, where there are parties who assist in resolving it. The substitute registrar is the party in charge and handles incoming officers. Determination of what is done in choosing who carries out the task is still done by appointment. This results in the appointment of a substitute clerk indirectly affecting the handling of case decisions to be resolved due to several criteria considerations. However, in determining the replacement clerks there is still no assessment for each criterion that will be used so that the results obtained are less than optimal. Fuzzy Analytical Hierarchy Process (F-AHP) is one method that is able to overcome this problem. The test uses the Spearman correlation test method in determining the substitute clerks based on the results of expert rankings with system rankings. The results of testing the level of the system ranking relationship to the ranking of experts using 496 datasets obtained the results of the Spearman correlation average of 0.370376 which means having a moderate relationship. So that it can be concluded that the incompatibility of expert ranking results with system ranking is because there is a large correlation test value that is inversely proportional to the data specified.
Penerapan Metode Jaringan Syaraf Tiruan Untuk Meramalkan Kapasitas Layanan Pada Jasa Perawatan Sepatu (Studi Kasus Sepatu Bersih) Sandy Ikhsan Armita; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Shoe treatment business is a sub business from developing conventional laundry with more complex and specific technic. This kind of business is a new one for the market, because all they know how to treat their shoe is just by washing it regularly. Actually the market potential for this business is promising, because shoe is daily essential for everyone's activity and of course it's part of the appearance to make a better looks. This business was known by the market in the early 2009, it was started by some accounts offering their service on the forum such as Kaskus, till the early 2012 this business has a bigger market due to the education of the people. The technic, tools, and stuff for shoe treatment had to be advance. By the time because of gaining demand of the market, the competition in this business is getting real. There so many business had to close too soon because cant do the strategical business plan, one of it was how to predict the service capacity. Therefore from that problem there is a method that could be useful for predicting the service capacity, using the Artificial Neuron Network method. By counting the process from the backpropagation and looking for the smallest output is 0,01616 of MSE to decide the most accurate number of the prediction.
Rekomendasi Pembuatan Roda Berbahan Dasar Polyurethane Menggunakan Metode Simple Additive Weighting (SAW) Studi Kasus Pada CV. Sumber Rejeki Teknik Muhammad Vidi Mycharoka; Nurul Hidayat; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 8 (2019): Agustus 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the world of industry the application of Polyurethane wheels are commonly used for factory and warehouse. At CV. Sumber Rejeki Teknik is a manufacturer of Polyurethane based wheels that focuses on making wheels for forklifts and trolleys. In manufacturing Polyurethane wheels, CV. Sumber Rejeki Teknik uses several Polyurthane materials because with a number of different material variations and characteristics, it is necessary to look for the best material for making Polyurethane wheels with the appropriate preferences and at low prices. Use the Simple Additive Weighting Method to find recommendations for the best material with a ranking form, the results of the agreement using the Simple Additive Weighting method then evaluating it using the Spearman Rank Correlation and Rank Correlation method. The results obtained based on the testing showed that the accuracy for forklifts was 58.333% and for trolleys was 41,666%. In testing carried out using Spearman Rank Correlaton the results for forklifts were 0.21678 and for trolleys were 0.24475.
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