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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 Pendukung Keputusan Pemilihan Mitra Jasa Pengiriman Barang menggunakan Metode Simple Additive Weighting (SAW) - Technique for Other Reference by Similarity to Ideal Solution (TOPSIS) di Kota Malang Lisa Septian Putri; Nurul Hidayat; Suprapto Suprapto
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

Malang is a big city that develops in East Java, so it is not surprising that there are many freight forwarding partners that offer freight services to the public. Where most of the average of the goods delivery partner is its reach not only in Malang alone but nationally and even internationally. Thus, many people are still confused to choose which shipping service partners are best seen from the characteristics of the goods such as easily broken, fragile, large dimensions and so on. So it raises the risk when the process of delivery of goods. So, it is necessary to build a system that can help the community in taking a decision. The model used to build this Decision Support System uses Fuzzy Multiple Atribute Decision Making (FMADM) with Simple Additive Weighting (SAW) method- Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). It is hoped that the decision will be more objective, so that the selected partners will meet the needs of the community and minimize the mistakes. Accuracy calculation results from 7 data comparison of actual results data with target data results of 28.57% and comparison of actual results data with target results of 71.42%. And the value of Usability Testing from 20 respondents obtained the result of 71.66% of questions able to answer, the percentage of 28.33% of questions can not be answered by the respondents, from these results can be concluded that the android application is declared good.
Sistem Pakar Diagnosis Penyakit Telinga Hidung Tenggorokan (THT) Menggunakan Metode Naive Bayes Berbasis Android Faris Abdi El Hakim; Nurul Hidayat; Ratih Kartika Dewi
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

Ears, nose, throat are important organs contained in the human body as they relate to the hearing and respiratory system. Knowledge of ENT disease is need to solve problem of ENT disease quickly and precisely, sometimes people assume trivial ENT problems such as dry throat can be very dangerous for the health of the body and the ratio of population in Indonesia with a limited doctor to make people have to queue for a long time to the institution hospital local. That problems can be solved using expert system. Many methods that can be used, one of them is by using the method of Naive Bayes Classifier. Advances in technology such as google's android operating system that controls the technology world, based on a compass (2012) that sold 1.1 billion over the next 12 months this estimate rose from 26% from 2013 that already sold 900 million units. Causing an expert system based android to be created by the author will make the user easy to access and use it. In this system receives input data symptom of ear, nose, throat (ENT) and processed using Naive Bayes algorithm that the output of the system in the form of diagnosis of disease type and treatment of disease outcome.Based on the results of accuracy testing of 25 data has an accuracy of 92%.
Pemodelan Sistem Pakar Diagnosis Penyakit pada Tanaman Tembakau Virginia dengan Metode Dempster-Shafer Chandra Tio Pasaribu; Nurul Hidayat; Randy Cahya Wihandika
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

Knowladge of the nature of the pathogen, symptoms of disease, as well as the factors that influence the development of plant diseases is one of the important things that should be known to determine the appropriate control methods for pathogen targeted. The lack of knowledge possessed by farmers and the lack of consultation with Virginia's Tobacco plant experts has caused farmers to experience delays in handling the affected plants. So, on the problems of Virginia Tobacco plants can be with the creation of an expert system. The method used is Dempster-Shafer is a theory that is capable of handling various possibilities that combine one possibility with existing facts. The Dempster-Shafer theory is based on belief function and plausible reasoning used to combine separate pieces of information to calculate the probability of an event. In this study there are 9 types of disease in Virginia Tobacco plant with input system in the form of facts that occur in Virginia Tobacco plants. Based on the data used obtained accuracy value of 84.6% so it can be concluded the system goes well.
Rekomendasi Pemilihan Paket Personal Computer Menggunakan Metode AHP-TOPSIS Bhima Arya Tristya Haryu Niswara; Rekyan Regarsari Mardhi Putri; Nurul Hidayat
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

In this era, Personal Computer enter phase of the rapid development. Formerly PC often found in large companies, but it can be found in many private houses nowadays. The PC becomes a necessity in everyday activities from office work, college tasks, even for daily communication. Along with the many enthusiasts to have a personal computer, theres so many builder who don't know what is needed to build a PC. In addition, the many types of components offered to make the builder more confused in choosing the components, as well as with limited budget. From the problems mentioned there are solutions by using Decission Support System that can provide the best alternative to the computer maker in decision making, DSS is software that provides output in the form of alternative solutions. Required method in implementing DSS, in this research using AHP and TOPSIS combined method. The AHP method has a priority comparison of each critera, and TOPSIS has the advantage of providing preferential results in the form of the most ideal solution in accordance with the desired criteria, so the user gets recommendations according to his wishes. The result of implementation of recommendation of personal computer build using AHP-TOPSIS method got 74% accuracy.
Implementasi Metode Weighted Product - Certainty Factor untuk Diagnosa Penyakit Malaria Yayuk Wiwin Nur Fitriya; Nurul Hidayat; Marji Marji
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

Malaria is a disease caused by plasmodium parasites. Malaria is spread through mosquito bites that have been infected by the parasite. Malaria symptoms include headaches, high fever, diarrhea, rapid breathing,nausea and vomiting. Malaria can be deadly because it causes damage to heart, kidney and brain damage. So we need a system application to diagnose malaria. It is expected this application can help people or users to get an initial diagnosis as a doctor's referral. In this application the user selects the yes or no buttons for the parameters of malaria symptoms. The data that the user entered is then processed using an algorithm of weighted product and certainty factor to generate early diagnosis type of malaria. In this method there are 22 criteria used and 4 types of malaria. Based on test cases the results accuracy level obtained the test results of an average accuracy of 84%. Accuracy values ​​are derived from 5 test scenarios with different data variants indicating the application was works properly.
Sistem Pendukung Keputusan Penentuan Penerima Bantuan Keluarga Miskin Menggunakan Metode Analytical Hierarchy Process - Preference Ranking Organization for Enrichment Evaluation II (AHP-PROMETHEE II) Reza Rahardian; Nurul Hidayat; Ratih Kartika Dewi
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

The economic level has a big role in the development of a country. Indonesia is one of the countries with low economic level. Indonesia provides data where the funds will be distributed to a region, one of the Mlandingan District, Situbondo district of East Java province. In the area has been given funds intended for the poor. However, the distribution of funds is not optimal enough because there are still people who are able to receive the assistance. Therefore, this research is done to help solve the problem. By applying the AHP PROMETHEE II method applied to a desktop-based application with 6 criteria used as a reference for obtaining accuracy. The AHP method as a weight and PROMETHEE II is used to sort it to get optimal results. In this research, the test is done by measuring the accuracy level with the result reaching accuracy above 80%. Then the AHP method itself in this study used to find the average actually yields an accuracy value that has no effect because the result is the same, so this test is done to know the accuracy value of PROMETHEE II method.
Penerapan Genetic Algorithm Untuk Optimasi Peningkatan Laba Persediaan Produksi Pakaian Bryan Pratama Jocom; Nurul Hidayat; Putra Pandu Adikara
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

Clothes as one of human need, in which the demand of clothing from time to time may increase or decrease. With the uncertainty of market demand for clothing making clothing sales into a promising business if appropriate in meeting market needs. Distro is an individual business or a group engaged in the production, marketing, and sales of clothing especially for young people. The success of the distro is measured by the amount of profit from clothing sales. Production design is one such factor. The problem will become more complex when there are many types of clothing sold, many sizes, and little capital in a month. Genetic algorithm is a meta-heuristic method that can solve the problem of clothing production. Proper fitness formula formulation can provide a value of chromosomes in the genetic algorithm, so the genetic algorithm can work best to solve production planning problems. The correct genetic algorithm parameters can give maximum results. The test shows the best results at the iteration of 75, the number of chromosomes by 425, the crossover rate of 0.9, and the mutation rate of 0.1. This study provides that genetic algorithm can solve complexity problems of production planning.
Klasifikasi Calon Penerima Bantuan Keluarga Miskin Menggunakan Metode Learning Vector Quantization (LVQ) (Studi Kasus: Daerah Kecamatan Mlandingan, Situbondo) Rio Arifando; Nurul Hidayat; Arief Andy Soebroto
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

In an effort to reduce poverty, the government of Mladingan sub-district, Situbondo provides social funds for society categorized as low class society, the fund is given based on an assessment of several indicators, determined by the government and made to assist the government staff in classifying the families who deserve it, so that the distribution of fund is well-targeted. This study aims to design a system that can classify the society by assessing them as fund beneficiaries or not. Classification method used in this study is Learning Vector Quantization. The data input of the prospective beneficiaries through data transformation process will result as data weight, which is used in the classification process. Weighting data are done by giving such score according to each parameter. The object used in this study is the data collection of the Families in Mlandingan Subdistrict, Situbondo. The family data contain 7 poverty parameters including age, the number of the family members, income, outcome, housing conditions, home ownership status, and educational level. This study uses five test scenarios that resulted a recommendation value of learning rate 0.1, decrement learning rate 0.1, training data as 30%, minimum learning rate 0.01 and maximum number of iterations 2. Accurate results obtained is 98%.
Sistem Pendukung Keputusan Diagnosa Penyakit Tanaman Jeruk Menggunakan Metode Naive Bayes Classifier Maskiswo Addi Puspito; Nurul Hidayat; Suprapto Suprapto
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

Because of CVPD virus attack in 2012, about 500 farmers in the south and west of Jember regency, East Java were forced to enlarge thousands of their citrus trees. While in other areas the citrus farmers were forced to cut down their citrus crops due to stricken fungus stems and citrus fruit can not be harvested. It takes a method that can be used to classify the types of symptoms of citrus plant disease. Naive bayes classifier is one of the suitable methods to be applied in the classification of the types of symptoms of citrus plant diseases. The reason for using the Naive Bayes Classifier method is because the Naive Bayes Classifier method is a simplification of the Bayes theorem. The variables needed in this study are the symptoms of the disease on the leaves, berries, stems and roots of citrus plants. This research resulted in a decision support system with 90% system accuracy.
Pemodelan Sistem Pakar Untuk Identifikasi Kerusakan Kamera Digital Single Lens Reflex (DSLR) Canon Menggunakan Metode Dempster - Shafer Rihandiko Hari Romadhona; Suprapto Suprapto; Nurul Hidayat
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

Today's digital age computer development is necessary to alleviate human work, especially the development of the world of photography. Various photographic devices that support to recieved humans have increasingly sophisticated. One is a Digital Single Lens Reflex camera (DSLR). Therefore this camera very popular by the public. But there is problem if the camera is damaged. Dempster - Shafer has been successfully applied in real-world problems and provides better solutions, where Dempster - Shafer can applied to multisensor and / or multisumbered data including data from remote sensing. Subjects in this research is the application system using Dempster - shafer method as detection medium on damage to Digital Single Lens Reflex (DSLR) camera. Collecting data in research by doing with expert. The result of this research the application system for identification of Digital Single Lens Reflex (DSLR) camera damage using Dempster - shafer method containing various symptoms, kinds of damage solution and result of detection based on knowledge base of experts or experts in Digital camera field Single Lens Reflex (DSLR). From the test cases that have been done the results accuracy level of testing is 90% indicating the system works well in accordance with the method Dempster - Shafer.
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