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All Journal Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Imam Cholissodin
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Peramalan Jumlah Pengunjung Wisata Menggunakan Fuzzy Logical Relationship dan Algoritme Genetika (Studi Kasus Wisatawan Kabupaten Banyuwangi) Irma Lailatul Khoiriyah; Imam Cholissodin; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Tourism is one of the important sectors in Banyuwangi Regency. An unexpected increase in the number of tourists makes it difficult for tourism department to give their best service. On the contrary, if there is a reduction, it will cause the decrease of the occupancy rate and the tourism sector that already exist. Forecasting the number of tourists is needed to determine the number of visitors in the future, so the solution can be anticipated as early as possible when number of tourists is more or less than the targeted. Forecasting that conducted in this study was using Fuzzy Logical Relationship and Genetic Algorithm. Fuzzy Logical Relationship is used to forecast the number of tourist based on tourist data history, then Genetic Algorithm is used to perform optimization interval distribution that will be used on Fuzzy Logical Relationship. Data that were used as many as 144 historical data from January 2005 to December 2016, number of tourist data was achieved from the Department of Culture and Tourism of Banyuwangi Regency. The results of the tests that was conducted on forecasting the number of visitors using the FLR and GA equations produce 280x10-9 in fitness which means the difference between the average of actual data and the result of forecasting is 3572978344 in MSE.
Optimasi Pembagian Barang Alat Tulis Kantor Menggunakan Algoritme Genetika Ardiansyah Setiajati; Imam Cholissodin; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays almost all companies need technology in helping business activities. Therefore information technology can help the company's activities in achieving its goals effectively and efficiently. Office stationery is one of the important supporting tools in running the operational functions of a company. Currently, office stationery management system in some companies or agencies are still done manually, so there is still often error information. Genetic algorithm is a population-based algorithm that can solve problems related to optimization with a very wide search space. Genetic algorithms can solve problems by providing a set of solutions and finding the most optimal solution. The chromosome representation consists of 801 genes comprising the sum of each item that each position can take. The optimal solution result is obtained on the test which is done 10 times using parameter that is the number of generation 2250, cr value 0,1, mr value 0,9, and population size 100, with fitness value equal to 7,288. However, there are still violations which is the number of some items that exceed the stock. Therefore, the solution is still not optimal.
Klasifikasi Luka pada Jaringan Payudara Berbasis Spektra Impedansi Listrik Menggunakan Fuzzy k-Nearest Neighbor Sandya Ratna Maruti; Imam Cholissodin; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Breast disease generally occurs in women with increased incidence of disease each year. The mortality rate for the sufferer is up to 40% and above and tends to be in modern young women. Therefore breast cancer detection and early diagnosis of the stage become the most important problem in medicine. The physiopathology state of human breast tissue can be seen with Electrical Impedance Spectral (EIS) so that it can be classified. The aim of this research is to classify the wound on breast tissue and to know the accuracy using Fuzzy k-Nearest Neighbor (FKNN) method. The dataset consists of 105 data, from the UCI-Repository dataset with 9 input parameters obtained from electrical impedance including I0, PA500, HFS, DA, AREA, A / DA, MAX IP, DR and P. While the output is a condition of breast injury that is glandular tissue, connective tissue, adipose tissue, mastopathy, fibro-adenoma and carcinoma. The FKNN test yields the best value of m = 2, the percentage of training data = 60% and k = 3. The result of this method is able to classify 28 data testing in accordance with the actual class and 14 data testing which is not in accordance with the actual class of total 42 data testing. The accuracy rate is 66.6666667%.
Klasifikasi Keminatan Menggunakan Algoritme Extreme Learning Machine dan Particle Swarm Optimization untuk Seleksi Fitur (Studi Kasus: Program Studi Teknik Informatika FILKOM UB) Nur Afifah Sugianto; Imam Cholissodin; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 5 (2018): Mei 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Majoring program in Informatics Engineering Program Faculty of Computer Science (FILKOM) Brawijaya University is a stabilization program for the profile of graduates of Informatics Engineering students so that each student has a special ability in accordance with the profile of graduates to be achieved. To be able to help the student in selecting the major program then a smart system is needed to determine the major program of each student that accordance with the interests and abilities of students. One methods of classification that can be used is Extreme Learning Machine (ELM) algorithm. However, the method does not have the ability to select features so it needs to be combined with Particle Swarm Optimization algorithm that can be used to perform feature selection automatically and optimally. This research uses 90 data of student study result with 25 features and 3 classes. Based on the research that has been done, the optimal parameters are the number of nodes in the hidden node is 20, the comparison of training data and testing data is 80%:20% (72 training data and 18 testing data), the number of particles is 120, the maximum iteration is 600 and the weight of inertia is 1. From these parameters, the system accuracy using ELM&PSO algorithm is 94.44% with 11 selected features. While the accuracy obtained from the ordinary ELM algorithm is only 66.67%. from the results of accuracy obtained, shows that the addition of PSO algorithm on ELM can improve the accuracy of common ELM algorithm.
Klasifikasi Gangguan Jiwa Skizofrenia Menggunakan Algoritme Support Vector Machine (SVM) Daisy Kurniawaty; Imam Cholissodin; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 5 (2018): Mei 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Insanity is the most common disease. One of insanity is schizophrenia. The process of diagnosis of schizophrenia is difficult, because there is no specific characteristic of behavior or appearance for the sufferer, some sufferer can behave and look like normal people and expensive treatment. It will make the patient's condition worse. To resolve this issue, this can be done with schizophrenia classification using support vector machine (SVM) algorithm. In this study there are 75 data that is divided into two types of schizophrenia, that is paranoid and simplex. The method in this study using support vector machine algorithm, wich to the category of good classification method, provides a statistical approach in pattern recognition, and is a linear method, but SVM provides kernel trick, which can solve problems related to non-linear classification. The result obtained using SVM 100% accuracy using ratio data 90%:10%, gamma = 0,00001, lambda = 3, C = 0,01, kernel polynomial of degree, maximum iteration is 1000.
Intellegence Vehicle Counting Menggunakan Metode Combination Value Saturation Pada Video Lalu Lintas Guruh Adi Purnomo; Imam Cholissodin; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Transportation needs have become almost the needs of every activity undertaken by humans, and it greatly affects the number of vehicle growth in Indonesia according to data Traffic Corps of the State Police of the Republic of Indonesia noted, the number of vehicles that operate increases every year, causing congestion and the need for a solution to Overcome it. One solution to overcome the congestion by diverting the flow of vehicles to other lanes, and to overcome this is required to calculate the vehicle so that no congestion occurs again. Because at this time the calculation of the car is still done manually, then required a system that can calculate the vehicle automatically as "intellegence vehicle counting menggungakan combination value method saturation on video traffic". Based on the test, this system has an average vehicle accuracy of 65.38%.
Prediksi Jumlah Permintaan Koran Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation Nabilla Putri Sakinah; Imam Cholissodin; Agus Wahyu Widodo
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

In the era of globalization, community needs for information is increasing by years. This can be seen from the behavior of the community in responding to everything, both global and national. The quantity of media provided convenience for the community to get information actually. Print media is one of media which has actuality and accuracy which can be trusted. One example of media is print media or newspaper. Newspaper is information tool and educational tool which until nowstill useful for every community. There are many forecasting methodthat have been used to predict which is proven in some forecasting and providing the good result, for example forecasting of water consumption, rainfall consumption, the exchange rate of dollar and forecasting electrical load. In accordance with the tests conducted using the data sales of Radar Madura in 2015, resulted the best iterations is 200, and the value of learning rate is 0.6, and the test of training data and test data yields the best value of training data is 100 and test data 10. With error rate 0.0162.
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%.
Optimasi Susunan Bahan Makanan untuk Ibu Hamil Kurang Energi Kronis (KEK) Menggunakan Algoritme Genetika Ika Oktaviandita; Imam Cholissodin; Putra Pandu Adikara
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

Women during pregnancy are advised to maintain nutritional adequacy, especially energy and protein. Inadequate nutrition intake will cause pregnant women at risk of Chronic Lack of Energy or in Indonesian called as Kurang Energi Kronis (KEK). In this research given recommendations of the composition of foodstuffs that have balanced nutrition with minimal price using genetic algorithm. The process of finding a solution is to perform a combination of chromosomes and then processed using genetic operators (crossover, mutation, and selection). Crossover process using one cut point method, mutation method used is exchange mutation, and selection process using selection elitism method. Need of parameters of genetic algorithm are population size, Crossover rate (Cr), Mutation rate (Mr), and number of generations. In this system obtained the best optimization results on the population size of 100 population with average fitness value 17.744, Cr value of 0.5 and the value of Mr of 0.5 with average fitness value 17.983, and on the number of generations 100 generated average Average fitness value of 17.962. The results obtained recommendations of the composition of foodstuffs for 7 days along with the costs to be incurred. However, these results still do not meet the maximal needs during pregnancy.
Sistem Pendukung Keputusan Penentuan Calon Penerima Beasiswa BBP-PPA Menggunakan Metode AHP-PROMETHEE I Studi Kasus : FILKOM Universitas Brawijaya Nining Nahdiah Satriani; Imam Cholissodin; Mochammad Ali Fauzi
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

Scholarship is financial assistance given to individuals for the purpose of sustainability education. Every year, Universitas Brawijaya offers scholarships to underprivileged students, one of them i.e. BBP-PPA scholarships. Scholarships should be given to appropriate candidates so that the objectives of the program can be achieved on target. Selection of scholarship awardee includes several criteria, such as parental income, parental expenses, GPA, and parental dependents. However, complaints often arise from other students when the awardee is not eligible to get a scholarship. Morevover the selection still done manually so that the process of determining the awardees tend to take a long time.Analytical Hierarchy Process-Preference Ranking For Organizatiom's Evaluation I (AHP-PROMETHEE I) is one of the methods that combine the method of AHP and PROMETHEE I. The results of the tests to determine the effect of the matrix comparison on the accuracy of the system. The results showed the accuracy of 73% for calculations using leaving flow, and 93% calculation using entering flow data from experts. Based on the accuracy can be said that the method of AHP-PROMETHEE I has a good performance in the determination of the candidates BBP-PPA scholarship.
Co-Authors Achmad Arwan Adam Syarif Hidayatullah Adhipramana Raihan Yuthadi Adhitya Wira Castrena Adinugroho, Sigit Ageng Wibowo Agus Wahyu Widodo Aldino Caturrahmanto Alfen Hasiholan Alif Fachrony Ana Holifatun Nisa Anandita Azharunisa Sasmito Andika Eka Putra Andriko Hedi Prasetyo Anggi Novita Sari Anim Rofi'ah Annisa Alifia Annisaa Amalia Safitri Aqmal Maulana Tisno Nuryawan Ardiansyah Setiajati Arief Andy Soebroto Arina Indana Fahma Arsti Syadzwina Fauziah Atika Anggraeni Aulia Dinia Aulia Herdhyanti Aulia Jasmin Safira Azmi Makarima Yattaqillah Bahruddin El Hayat Bana Falakhi Bayu Andika Paripih Bayu Rahayudi Benita Salsabila Bisma Anassuka Bondan Sapta Prakoso Brendy Oscar Munthe Brigitta Ayu Kusuma Wardhany Budi Darma Setiawan Budi Santoso Candra Dewi Cindy Cynthia Nurkholis Citra Nadya Dwi Irianti Daisy Kurniawaty Danastri Ramya Mehaninda Daneswara Jauhari Daniel Agara Siregar Dellia Airyn Diah Priharsari Dian Eka Ratnawati Dieni Anindyasarathi Dinda Adilfi Wirahmi Diva Kurnianingtyas Dyah Ayu Wahyuning Dewi Edy Santoso Ega Ajie Kurnianto Elisa Julie Irianti Siahaan Ellita Nuryandhani Ananti Elmira Faustina Achmal Ema Agasta Ema Rosalina Eriq Muh. Adams Jonemaro Ersya Nadia Candra Fahri Ariseno Faizatul Amalia Faturrahman Muhammad Suryana Fayza Sakina Maghfira Darmawan Febriyani Riyanda Felicia Marvela Evanita Fendra Gunawan Ficry Agam Fathurrachman Fikhi Nugroho Fildzah Amalia Firda Priatmayanti Fitra Abdurrachman Bachtiar Franklid Gunawan Galih Ariwanda George Alexander Suwito Ghulam Mahmudi Al Azis Gregorius Dhanasatya Pudyakinarya Guruh Adi Purnomo Gusti Reza Maulana Heny Dwi Jayanti Heru Nurwarsito Himawat Aryadita Holiyanda Husada Husin Muhamad I Gusti Ayu Putri Diani Ibnu Rasyid Wijayanto Ichwanda Hamdhani Ika Oktaviandita Indriati Indriati Irma Lailatul Khoiriyah Ishak Panangian Sinaga Istiana Rachmi Izzatul Azizah Jeffrey Junior Tedjasulaksana Khairinnisa Rifna Khairiyyah Nur Aisyah Komang Anggada Sugiarta Kresentia Verena Septiana Toy Kukuh Wicaksono Wahyuditomo Laila Restu Setiya Wati Lailil Muflikhah Leni Istikomah Liwenki Jus'ma Olivia M. Ali Fauzi M. Khusnul Azhari Mahendro Agni Giri Pawoko Marji Marji Maulana Ahmad Maliki Maulana Putra Pambudi Mauldy Putra Pratama Mentari Adiza Putri Nasution Michael David Moch Bima Prakoso Moh. Ibnu Assayyis Mohammad Aditya Noviansyah Mohammad Angga Prasetya Askin Mohammad Toriq Muhammad Aghni Nur Lazuardy Muhammad Dio Reyhans Muhammad Fahmi Hidayatullah Muhammad Fuad Efendi Muhammad Halim Natsir Muhammad Hasbi Wa Kafa Muhammad Hidayat Muhammad Maulana Solihin Hidayatullah Muhammad Nadzir Muhammad Rizal Ma'rufi Muhammad Rois Al Haqq Muhammad Shafaat Muhammad Syafiq Muhammad Tanzil Furqon Muhammad Taufan Mukh. Mart Hans Luber Nabila Lubna Irbakanisa Nabilla Putri Sakinah Nadia Natasa Tresia Sitorus Nadia Siburian Nadiah Nur Fadillah Ramadhani Nining Nahdiah Satriani Noerhayati Djumaah Manis Novanto Yudistira Novirra Dwi Asri Nur Afifah Sugianto Nur Firra Hasjidla Nurul Hidayat Nurul Inayah Obed Manuel Silalahi Panji Husni Padhila Priscillia Vinda Gunawan Putra Pandu Adikara Putri Ratna Sari Radita Noer Pratiwi Randy Cahya Wihandika Ratih Kartika Dewi Rayhan Tsani Putra Renata Rizki Rafi` Athallah Restu Fitriawanti Reyvaldo Aditya Pradana Reza Aprilliana Fauzi Rien Difitria Rinindya Nurtiara Puteri Rio Cahyo Anggono Riski Ida Agustiyan Rizal Aditya Nugroho Rizal Setya Perdana Rizaldy Aditya Nugraha Rizky Ramadhan Rosintan Fatwa Rowan Rowan Sabrina Nurfadilla Salsabila Multazam Sandya Ratna Maruti Sari Narulita Hantari Satria Habiburrahman Fathul Hakim Sayyidah Karimah Shafira Eka Aulia Putri Shelly Puspa Ardina Shibron Arby Azizy Shinta Anggun Larasati Siti Mutdilah Sofi Hidyah Anggraini Stefanus Bayu Waskito Supraptoa Supraptoa Sutrisno Sutrisno Tara Dewanti Sukma Tibyani Tibyani Timothy Bastian Sianturi Tobing Setyawan Tony Faqih Prayogi Tusiarti Handayani Tusty Nadia Maghfira Uke Rahma Hidayah Uswatun Hasanah Utaminingrum, Fitri Vergy Ayu Kusumadewi Veronica Kristina Br Simamora Vinesia Yolanda Vivilia Putri Agustin Vivin Vidia Nurdiansyah Wahyu Bimantara Wanda Athira Luqyana Wicky Prabowo Juliastoro Windy Adira Istiqhfarani Yessica Inggir Febiola Yoseansi Mantharora Siahaan Yudha Ananda Kresna Yudo Juni Hardiko Yuita Arum Sari Yunico Ardian Pradana Yusuf Afandi Zanna Annisa Nur Azizah Fareza