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Edy Santoso
Fakultas Ilmu Komputer , Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Klasifikasi Penderita Penyakit Ginjal Kronis Menggunakan Algoritme Support Vector Machine (SVM) Ega Ajie Kurnianto; Imam Cholissodin; 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

Data mining is one of the processes that can be used in the healthcare industry currently. With the large amount of data collected, it can be used to get some information or an interesting pattern. Later on, the information can be used to provide assistance, diagnose, or decision making of a patient with the certain disease, such as chronic kidney disease, which is one form of disorder in the kidney. It is a deadly disease, but with proper precautions, this disease can also be avoided. Usually, most patients with a chronic kidney disease don't know the suffered disease and patients tend to underestimate when they find early symptoms of chronic kidney disease. Therefore, it needs a system that can facilitate the early detection of the chronic kidney disease. One technique that can be used is the classification using Support Vector Machine (SVM) algorithm. This algorithm aims to create an optimal hyperplane or dividing line. This research used data from 158 patients with 24 features and 2 classes. Based on test results, obtained best accuracy 100% with the details of parameter value is augmenting factor value (λ) = 0,001, learning rate value (γ) = 0,001, complexity value (C) = 0,001, sigma value (σ) = 1, and number of iteration = 1000.
Sistem Pakar Diagnosa Penyakit Gigi dan Mulut Menggunakan Metode Naive Bayes - Weighted Product Paul Manason Sahala Simanjuntak; Edy Santoso; Tibyani Tibyani
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

Teeth and mouth are parts of the body that are often lacking in health. Dental and Mouth Disease is included in the list of 10 diseases that people often complain about. Dental disease itself is often considered trivial by the public, even though if it is not treated immediately it can cause heart disease and stroke. The uneven distribution of dental and oral experts has made it difficult for people to be able to get dental and oral health checks. Therefore, it is expected that with this system can help people especially those that are not reached by a dental expert to be able to find out the diagnosis of dental and oral diseases suffered and advice that can be given. In this system the method used in the diagnosis process is the naive bayes-weighted product method. Naive Bayes itself is applied to find the value of the probability of each symptom of a disease while the weighted product is applied to provide a conclusion on the diagnosis of dental and oral diseases by finding the value of the criteria s and alternative values ​​v. In this system there are 7 types of diseases and 21 dental and oral disease symptoms that can be recognized by the system. Accuracy testing results use a total of 30 test data and produce an accuracy rate of 93.3%.
Klasifikasi Risiko Hipertensi Menggunakan Fuzzy Decision Tree Iterative Dichotomiser 3 (ID3) Mochamad Rafli Andriansyah; Edy Santoso; Sutrisno Sutrisno
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

Hypertension is a disease where the heart and the arteries have abnormalities which is indicated by the increase of blood pressure. Hypertension can be controlled if it's handled from the early stage, however, several number of patients only earn the knowledge right after there's a complication of failures of the organs. Considering that hypertension is one of the very lethal diseases, the researchers have done researches about the classification of hypertension, one of them used Fuzzy Decision Tree with ID3 algorithm. To solve the problem about hypertension based on the available factors, the study use Fuzzy Decision Tree ID3 method to classify the risks of hypertension that have initialization stages of Fuzzy values, the calculation of Fuzzy enthropy values, and the values of information gain, as well as defuzzification to determine the result of the classification. The testing that has been carried out could result in the highest accuration value, which is 80%, derived from the testing of 30 training data dan 20 testing data, as well as the combination of the FCT and LDT value. The conclusion of the research that has been accomplished is that Fuzzy Decision Tree ID3 can solve the problems in the classification of hypertension risks quite well.
Rekomendasi Peminatan SMA Bagi Siswa Kelas IX SMP Menggunakan Metode AHP dan SMART Sari Narulita Hantari; Imam Cholissodin; 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

Education has an important role in human life. Choosing the right education will have a positive impact on their future career. Based on Indonesian Education Curriculum starting from year 2013, high school major was carried out since 10th grade, at the time when new student admission is conducted. These changes have an impact on Junior High School students, who have to prepare to choose which major they they want to be in. Academic report, student interest, family's wealth, school they want to enroll, and parent's wishes are some factor that need to be considered. This study is conducted to make recommendation for 9th grade students in which major are suitable for them. The method used is Analytic Hierarcy Process (AHP) and Simple Multi Attribute Rating Technique (SMART). Criterias that being used is their study report, and their interest. AHP is used to calculate the weight of criteria, while SMART is used to determine recommendation result between IPA and IPS. Data testing is calculated 10 times using Spearman Correlation resulting in ρ=0.83458. The Spearman value (ρ) then compared to significance test table, resulting significant relationship between IPA and IPS.
Implementasi Algoritme Extreme Learning Machine (ELM) Untuk Klasifikasi Penanganan Human Papilloma Virus (HPV) Stefanus Bayu Waskito; Imam Cholissodin; Edy Santoso
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

Human Papilloma is a virus that cause warts ilness. There are several treatment methods, but Immunotherapy and Cryotherapy are considered to be the best method to treat this ilness. However, none of them can heal all patients. Therefore, research to determine which method more appropriate for a certain patient is required. This research use Extreme Learning Machine Algorithm to help classify which method are better for certain patient. A tests is conducted to determine the effects of activation function, number of hidden neuron and and data ratio toward classification accuracy. It was observed that using Binary Sigmoid activation function, 80 testing data to 20 training data ratio, and 10 hidden neuron, the classification accuraccy reach 70,8%. And the classification time spent were relatively fast that is only 0.043 seconds.
Sistem Diagnosis Penyakit Pada Sapi Potong Menggunakan Metode Bayesian Network Greviko Bayu Kristi; Nurul Hidayat; Edy Santoso
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

Cattle are animals that have a lot of economic potential. Diseases of cattle can be spread quickly, and can make the cattle dead. Diseases of cattle can be caused by bacteria, viruses, fungi, and parasites. To prevent diseases of cattle is not continues, the farmers of cattle must know about diseases in animal cow, so it can do the prevention and treatment as early as possible. To diagnosis which diseases that attack cattle, it is necessary to build an diagnosis systems. This diagnosis on diseases of cattle is using Bayesian Network method. The diagnosis process is done by entering the facts of the symptoms on cattle and then calculated by using Bayesian Network. The result of this system is the diagnosis of diseases that attack the cattle with the recommendation of its control solution. Based on the results of the test that coducted in this study resulted an accuracy of 93.33%, so it can be concluded this expert system to diagnosis diseases on cattle using Bayesian Network is able to work well.
Sistem Rekomendasi Pemilihan Benih Varietas Unggul Padi Menggunakan Metode Fuzzy Analitycal Hierarchy Process - Simple Additive Weighting Agung Dwi Budiarto; Edy Santoso; Muhammad Aminul Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The continuously increasing number of Indonesian population each year is directly proportional to the increase in national food needs. The increase in this demand is not matched by an increase in agricultural production in the country, so the government is constantly imports to meet their food needs. It takes effort to increase production, especially rice which is considered as a major food ingredient majority of the public. One of the solutions is by activating seeding rice varieties. However, the number of criteria considered making farmers had difficulty in determining their choice. Judging from the problems that arise, there are a number of methods that can be implemented to solve the problems of farmers in decision-making, namely the presence of a recommendation system that is capable of solving the problems of multiple criteria using Fuzzy Analytical Hierarchy Process (Fuzzy AHP) to calculate the weight of the criteria and Simple Additive Weighting (SAW) method to measure the alternatives rank. Functional testing system generates a value of 100%, which means that the system is functioning properly in accordance with the design requirements. While the correlation testing using Spearman method produce the rank-order correlation coeficient of each variety, which coeficient of the INPARI varieties is 0,999, INPAGO is 1,000, INPARA is 1,000, and HIPA is 0,981. So, it can be concluded that the Fuzzy AHP-SAW methods on this system can be used for recommending selection of seed varieties of rice, because it has a positive relationship that approach perfectly with the expert's rank data.
Rekomendasi Pemberian Kredit Pemilikan Rumah (KPR) Pada Nasabah Bank Menggunakan Metode AHP - Topsis (Studi Kasus: PT. Bank Negara Indonesia. Tbk) Andriko Hedi Prasetyo; Imam Cholissodin; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the important things that need or become a primary human need is a place to live or home. Many people can directly buy by credit. In this case the bank provides services for individuals who want to have a place to live or a decent house. This bank can be used as a financial institution that can ease the burden of the payment process to be able to make a home loan. In this study took a case study at PT. Bank Negara Indonesia (BNI) in the recommendation of granting KPR. With the increasingly brilliant Home Ownership Credit (KPR) program, every agency that provides a KPR program is demanded to be quick and precise in completing the families who apply for a KPR. So it requires time efficiency, accuracy of results in selecting mortgage customers and to improve the quality and service of the bank. Analytic Hierarchy Process Method - Order Preference Technique by Ideal Solution (AHP - TOPSIS) was chosen at the time of research because the AHP method has advantages in a different process from one another. And the TOPSIS method has advantages in practical decision making and the results of alternative decisions. The results of this study provide subreferences at 5 values that produce a value of λmax = 5.3351 CI = 0.0838 and CR = 0.0748 which get 85% accuracy results from 40 test data.
Implementasi Naive Bayes dan Weighted Product Dalam Memberi Rekomendasi Hotel Terbaik Saat Berwisata Di Bali Galih Aulia Rahmadanu; Edy Santoso; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 2 (2019): Februari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Bali is one of the best tourist destinations in Indonesia. The number of tourists coming to Bali always increases by 300.00 to 500,000 people every year. In 2017 amounting to 62.89% of tourists visiting Bali chose to stay at the hotel. But based on the wrong comments found in one of the largest hotel booking applications in Indonesia, Traveloka is still found to have complaints about hotels that are not in accordance with tourist expectations. Therefore, the hotel recommendation system is made by calculating the value for each of the points considered important in the assessment of a hotel. In this system two methods are used, namely Naive Bayes and Weighted Product. The Naive Bayes method is used to classify the input given by the user into the existing hotel category and the Weighted Product method is used to provide hotel recommendations by doing hotel ranking that is closest to the criteria that the user wants. In this system there are 7 rating points for hotels and hotels divided into 3 categories. The results of system accuracy testing using 50 hotel data resulted in the best level of accuracy of 100%.
Klasifikasi Dokumen SAMBAT Online Menggunakan Metode Naive Bayes dan Seleksi Fitur Berbasis Algoritme Genetika Tony Faqih Prayogi; Imam Cholissodin; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Integrated Community Asking Application System (SAMBAT) Online is one of application that becomes an eGov system in Malang City to provide a place for the people of Malang City to voice their aspirations towards problems that exist for the good of the city itself. All complaints that enter through SAMBAT Online have been grouped based on the existing parts and later will be sorted manually and forwarded to the respective Regional Work Unit (SKPD) so that they can be immediately followed up. But because of the number of complaints received so long enough to be processed by each SKPD. Therefore a system was created for the classification of SAMBAT Online documents. In this study implemented a naive bayes method and genetic algorithm-based feature selection for the SAMBAT Online document classification. The implementation process itself consists of preprocessing, term weighting, Feature Selection using genetic algorithms and the classification process using naive bayes method. The results of the tests that have been done, obtained the highest accuracy of 89.79% in the test of 49 data test with the parameter value of generations 70, population size 20, crossover rate 0.8 and mutation rate 0.2.
Co-Authors Abdul Juli Andi Gani Achmad Arwan Achmad Ridok Adam Hendra Brata Adhi Mulhaq Adhie Indi Arsyanto Adhipramana Raihan Yuthadi Adinugroho, Sigit Aditya Sudarmadi Agung Dwi Budiarto Agus Prayogi Ahmad Faizal Akbar Imani Yudhaputra Akhsana Zufar Masyhuda Alif Fachrony Alif Prasetyo Aji Andriko Hedi Prasetyo Annam Rosyadi Annisa Puspitawuri Arief Andy Soebroto Arinda Ayu Puspitasari Aulia Dinia Ayu Tifany Novarina Bagus Aryo Herlambang Bayu Rahayudi Bregaster Bregaster Brigitta Ayu Kusuma Wardhany Caesaredi Rama Raharya Candra Dewi Charisma Amadea Putri Dayu Aprellia Dwi Putri Dendry Zeta Maliha Denis Ahmad Ryfai Denny Sagita Rusdianto Dewan Rizky Bahari Dhatu Kertayuga Dian Eka R Dicky Manda Putra Sidharta Dimas Prenky Dicky Irawan Dino Keylas Dwi Tyas Fitriya Ningsih Dytha Suryani Edwar Budiman Ega Ajie Kurnianto Elkaf Fahrezi Soebianto Putra Elna Diaz Pradini Fahri Ariseno Faizatul Amalia Fajar Pradana Faldo Sabillah Shidqi Faris Dinar Wahyu Gunawan Faturrahman Muhammad Suryana Febri Fahrizal Freddy Ajax Pratama Galih Aulia Rahmadanu Genjah Amartha Gora Ghiffary Rizal Hamdhani Greviko Bayu Kristi Habib Putra Kusuma Negara Hafshah Durrotun Nasihah Heny Dwi Jayanti Herlina Devi Sirait Heru Nurwasito Heryadi Mochamad Ramdani Hinandy Nur Anisa Imam Cholisoddin Imam Cholissodin Indriati Indriati Irwan Andriyanto Ivan Agustinus Jauhar Bariq Rachmadi Jeffrey Simanjuntak Jodi Irjaya Kartika Jojor Yeanesy Sinaga Kenty Wantri A Khairinnisa Rifna Khrisna Indrawan Eka Putra Khusnul Aidil Santosa Komang Anggada Sugiarta Krisna Andryan Syahputra Effendi Lailatul Fitriah Lailil Muflikhah M. Ali Fauzi Made Bela Pramesthi Putri Marji Marji Maya Febrianita Meilinda Dwi Puspaningrum Meutya Choirunnisa Miga Palma Putri Mochamad Rafli Andriansyah Moh. Zulfiqar Naufal Maulana Mohammad Zahrul Muttaqin Muh Hamim Fajar Muh. Thanthowi Lathif Muhamad Danis Firmansyah Muhamad Fahrur Rozi Muhammad Alfian Nuris Shobah Muhammad Alimuddien Rasyid Muhammad Aminul Akbar Muhammad Ardhian Megatama Muhammad Atabik Usman Muhammad Aulia Rahman Muhammad Dimyathi Muhammad Fachry Noorchoolish Arif Muhammad Fauzan Ziqroh Muhammad Fuad Efendi Muhammad Miftah Dhiaulhaq Muhammad Shafaat Muhammad Tanzil Furqon Mukhlis Anshori Witanto Nendiana Putri Ninda Silvia Tri Cahyani Nonny Windarti Novanto Yudistira Novi Fadilla Ulfa Nurudin Santoso Nurul Hidaya Nurul Hidayat Paul Manason Sahala Simanjuntak Putra Aditya Primanda Ratih Kartika Dewi Regina Anky Chandra Renaldy Senna Hutama Reyhan Dzickrillah Laksmana Reynaldi Ricky Putra Utama Guinta Rezza Hary Dwi Satriya Rezza Pratama Rhayhana Putri Justitia Richard Emmanuel Johanes Riesma Rahman Nia Rio Cahyo Anggono Rizky Maulana Iqbal Rizky Ramadhan Rizqi Addin Arfiansyah Roma Akbar Iswara Salam Maulana Sari Narulita Hantari Satrio Hadi Wijoyo Sema Nabillah Dewi Shibron Arby Azizy Stefanus Bayu Waskito Supraptoa Supraptoa Surya Dermawan Sutrisno Sutrisno Syailendra Orthega Tara Dewanti Sukma Tibyani Tibyani Tjahjanulin Domai Tony Faqih Prayogi Tri Afirianto Tuahta Ramadhani Tubagus Agung Nugroho Vogue Nevarika Wa Ode May Zhara Averina Wahyu Dwiky Rahmadan Wayan Firdaus Mahmudy William Muris Parsaoran Nainggolan Wunsel Arto Negoro Yogi Pinanda Yudha Eka Permana Yuita Arum Sari Yulianus Wayan Yudistira Rudja Yunita Dwi Lestari Yuwilda Wilantikasari