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All Journal Jurnal POINTER Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Reformasi : Jurnal Ilmiah Ilmu Sosial dan Ilmu Politik Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Bulletin of Culinary Art and Hospitality
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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Implementasi Metode Dempster-Shafer untuk Mendiagnosa Penyakit Tanaman Padi Syailendra Orthega; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The rice plant disease often resulting in growth of rice plant becomes compromised, and make the rice production to fail. The incidence of disease on rice comes from bacteria, fungi, viruses, and other than that of nutrient deficiencies also include diseases. Diseases of the plants also have a major influence on growth. Diseased plant growth is usually disturbed, changed into a dwarf and some leaf are changing color, for example, the leaves turn yellow, or dry out. In research this time, the system was developed using Dempster-Shafer method as rice plant disease diagnosis.The collection of data in this study using a study literature, interview and observation methods.The results of this research is a system to diagnose diseases of the rice plant using Demspter-Shafer method that includes a variety of symptoms, causes, solutions and results of diagnosis the based of knowledge of experts or experts in the field of agriculture. Of the test case that have been conducted, the results of testing the accuracy of 90% indicating that the application is functioning properly in accordance with the method of Dempster-Shafer
Sistem Pendukung Keputusan Pemilihan Anggota Pengurus Harian Pondok Pesantren Menggunakan Metode Profile Matching (Studi Kasus Pondok Pesantren Putra Sabilurrosyad) Muhammad Atabik Usman; Edy Santoso; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays, computerization has often been a daily necessary which aims to facilitate our activity in all time. In order that, there were many problems which could be overcome by using the calculation in computerizing. For example, in term of organization, that is to elect the candidate of daily manager Putra Sabilurrosyad Islamic Boarding School which still possess obstacles, both in human source and time that were running out the time to elect the candidate of daily manager in Putra Sabilurrosyad Islamic Boarding School. In this study, the system will produce the software application that named the decision support system maker, which is to elect the candidate of daily manager in Putra Sabilurrosyad Islamic Boarding School. The result from this paper is the rating which is from the pupils who have been qualified, the output that was from the application provided and assisted in decision makers electing the pupils who will be the member of daily manager in Putra Sabilurrosyad Islamic Boarding School. The application implements using web based program. The result of this research using this profile matching method get the percentage of 97% accuracy level.
Implementasi Metode Dempster Shafer Dalam Diagnosis Penyakit Pada Tanaman Jeruk Salam Maulana; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Citrus Plants is one of the national commodities that has an imporant role in increasing the country's foreign exchange. According to the data from Badan Litbang Pertanian Indonesia (2015), the increase imports of citrus by 11% anually in a span of a decade, makes Indonesia become a promising International markets. It should encourage farmers, especially citrus farmers to innovate in order to compete with imported goods. Many people are trying to cultivate citrus crops. However, it is not balanced with the knowledge of how to deal with crops diseasaes. There are many problems regarding citrus plants faced by farmers, one of which is pest problem that needs special attention, for it affects the production and cause diseases. In this research, the system was developed using Dempster-Shafer method as disease detector. The data were collected using interview related to theory. The results of this research is a plant disease-diagnostic system utilizing Demspter-Shafer method that detect simptom, cause, and solution; and it is based on theory of the experts. Based on the tests that had been done, it was found that the acuracy reached 90% that indicates the system was functioning properly using Dempster-shafer.
Penentuan Komposisi Pakan Ternak untuk Memenuhi Kebutuhan Nutrisi Ayam Petelur dengan Biaya Minimum Menggunakan Particle Swarm Optimization (PSO) Brigitta Ayu Kusuma Wardhany; Imam Cholissodin; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Feeding in accordance with nutritional needs of laying hens is the most important thing to be considered. This is because, the feed given will affect the amount and quality of the eggs produced. In addition, feed also affects the success of a chicken breeding business, where required a big amount of feed costs. So farmers must make an appropriate combination of the feed in order to obtain the minimum cost but with adequate nutrition. To obtain that feed combination, a research is conducted using Particle Swarm Optimization (PSO). PSO is one of the optimization methods that can solve the problems of feed combination to obtain the adequate nutrition of laying hens, so the farmer's income will be maximize. This research uses a real representation of code where each particles have long number with the data feed material used is 40. Each dimension in a particle represents the weight of the feed material. According to the test results, obtained the best parameters, such as swarm size = 350, number of iteration = 500, ωmax = 0.9 and ωmin = 0.4, c1i = 2.5 and c1f = 0.5 also c2i =0.5 and c2f = 2.5, then the best number of iteration according to the convergence test is 330. The final result is a combinational of best feed ingredients with nutritional met and minimum cost.
Sistem Pendukung Keputusan Pemilihan Personel Homeband Universitas Brawijaya Menggunakan Metode Profile Matching Aditya Sudarmadi; Edy Santoso; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Brawijaya Homeband University is a part of Students Unit Activities which has 2 years of regulation. In maintaining its existence, a selection is held in every 2 years. One of the problems was faced in previous selection was unclear scoring mechanism. This problem made the duration in selecting the member of the homeband longer. Moreover, the selection result was subjective. This manual mechanism is not an efficient meachanism, moreover when the participants are more than before. Research of Decission Suport System for Members Homeband Brawijaya University selection was using profile match technique. The positions which were wanted were male Vocalist, female vocalist, guitarist, bassist, keyboardist and drummer. Every position has 6 scoring factors which consist of 4 core factors and 2 secondary factors. The result of this research shows the accuracy system was 83.8%, 5 of 6 members selected by the system are the members who also selected by the judges. Therefore, it can be concluded the result of this research can be used for assisting the Homeband of Brawijaya University member's selection.
Prediksi Volume Impor Beras Nasional dengan Metode Multi-Factors High-Order Fuzzy Time Series Nendiana Putri; Edy Santoso; Sigit Adinugroho
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

A good self-sufficient of rice support is needed to save some foreign exchange reserves that used to import rice. An accurate rice import volume prediction is needed to make a strategic plans for keeping management of rice support stability. Fuzzy time series is one of prediction methods which use past data pattern to projects data in the future. There are some fuzzy time series method's models, one of those models is multi-factors high-order time series model. This method distributes data into several subintervals with different length, depending on centroids that came from clustering process with fuzzy C-Means method. Advantage from using multi-factors high-order time series model is this model uses more than one order and antecedent factor to build a fuzzy logic relationship. Antecedent factors that used in this case are rice productions and consumption factors that affect Indonesia's rice import volume. Minimum value of Normalised Root Mean Squared Error (NRMSE) obtained 0.298 in this study. NRMSE value which is almost zero shows that multi-factors high-order fuzzy time series method is a good method for rice import volume prediction.
Diagnosis Penyakit Kulit Pada Kucing Menggunakan Metode Modified K-Nearest Neighbor Made Bela Pramesthi Putri; Edy Santoso; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cats that are often act as pets to humans is not spared from diseases attack. Skin disease is a common disease suffered by these mammals, if not handled quickly and accurately then the disease can quickly escalate to interfere cat's activity or can even cause death. Early symptoms of skin diseases are sometimes not so visible and not so disturbing, therefore sometimes the cat evem looks fine so the owner is not so concerned. Very limited knowledge of the owner about skin diseases experienced by cats, as well as the many similarities of the symptoms of various skin diseases that are difficult to be identified by the common people became the main reason for the author to conduct research on the diagnosis of skin diseases in cats using the Modified K-Nearest Neighbor method. The Modified K-Nearest Neighbor Method is used for the classification of new data which class is not known based on the nearest k value. The dataset used in this study consisted of 240 cat skin disease data with 14 parameters and 5 different kind of skin diseases, the output of this system in the form of disease diagnosis. The highest accuracy that was obtained based on various testings is 100% at the value of k = 1. From the results of the accuracy, it can be concluded that the Modified K-Nearest Neighbor method can be implemented into the skin disease diagnosis system in cats.
Optimasi Komposisi Makanan Diet bagi Penderita Hipertensi menggunakan Algoritme Genetika Muhammad Shafaat; Imam Cholissodin; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hypertensive is one of the main causes of mortality and morbidity in Indonesia. as the result that, the clinical problems of the disease that is interventions which at various levels of health facilities are commonly done. For people with hypertension should be arranging their food menu to avoid and confine foods that can increase blood pressure. Therefore, it needed a diet to control the blood sugar levels in hypertensive patients by regulating the composition of the diet. One of techniques that is used to manage regulate the composition of diet foods for hypertensive patients used by genetic algorithm approach. The genetic algorithm process uses the representation of the integer with the length of chromosome 105, each gene of the population is the food number in each group and each index with multiples 15 represents of the day, The crossover method that is used the extended intermediate crossover, while the mutation method that is used reciprocal exchange mutation, and the selection method with elitsm selection. The optimal parameter results obtained on the test population number is 80 with the fitness value 1100.495433, the number of generations is 300 with the fitness value 1190.022286, and the combination of cr and mr is 0.1 and 0.9 with the fitness value 1150.466927. The results of the solution given in the form of food menu recommendations for few days for morning, noon, and night time and with minimal cost.
Implementasi Metode Particle Swarm Optimization-Dempster Shafer untuk Diagnosa Indikasi Penyakit pada Budidaya Ikan Gurami Faris Dinar Wahyu Gunawan; Edy Santoso; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Knowledge of fish breeders of the type of disease that can attack on gouramy fish at the time of cultivation is very small. Prediction indication of disease on gourami fish is an important thing to the succes of cultivation. Prediction of disease obtained from the facts that exist in the cultivation process. Dempster shafer is one of the techniques of artificial intelligence used to predict based on interrelated facts. Dempster shafer method is often used because it is quite easy to implement algorithm. However, the performance of dempster shafer is very dependent on the girlfriend who has a connection with the problem. So, if there is a new fact must first consult to experts. In addition, Dempster shafer does not guarantee specific prediction results because interrelated facts are often general. One approach that can be used to overcome this problem is to apply Particle Swarm Optmization method. Particle Swarm Optimization explores the search space to find initial density values based on particle cost values. . Where the Particle Swarm Optimization method is used to generate density values, and Dempster Shafer as a conclusion of disease indication. In this study using hybrid Particle Swarm Optmization-Dempster Shafer for diagnosis of disease indication on gouramy fish culture. The results obtained from the output of the system with experts achieve 86,5% results.
Implementasi Metode TOPSIS Untuk Penentuan Finalis Duta Wisata Joko Roro Kabupaten Malang (Studi Kasus : Paguyuban Joko Roro) Krisna Andryan Syahputra Effendi; Edy Santoso; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Each district and the cities in Indonesia have a separate icon to showcase their respective regions. Start from the culture until the potential of tourism object. One of the most well known icon until the territory was visited by many tourists is tourism object. This is shown by the number of domestic tourists and also foreign tourists who visited in each area in Indonesia one of the Malang Regency. Malang Regency rich natural tourism potential and other tourism. Therefore this Regency nicknamed "The Heart of East Java". Malang Regency has tourism ambassador, joko roro Kabupaten Malang. Joko roro stand since 2005. But in the participants who later became the next joko and roro, the committee feel difficulties. This is marked with the number of participants that resulted in missing data. And also very obstructionist opinion judges when the determination of the finalists who will be joko and roro. From these problems, then designed a decisions support systems can determine the decision of the finalists tour ambassador joko roro of Malang Regency. This research uses namely with one of method TOPSIS and using the five criteria for administration and five criteria for selection. Testing the accuracy of the obtained accurate until 52%.
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