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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Public Health Science (IJPHS) Jurnal Pendidikan Vokasi Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Natural A Jurnal POINTER Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Jurnal Teknik Otomotif Kajian Keilmuan dan Pengajaran Jurnal Preventia Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Multimedia Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian, Pendidikan dan Teknologi Jurnal Graha Pengabdian Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Abdimas Indonesian Journal Prosiding Seminar Kesehatan Nasional Sexophone National Journal of Occupational Health and Safety
Marji Marji
Fakultas Ilmu Komputer, Universitas Brawijaya
Religion Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Public Health Social Sciences Other

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Optimasi Daftar Bahan Makanan Untuk Pasien Rawat Jalan dan Keluarga Menggunakan Algoritme Genetika Istiana Rachmi; Imam Cholissodin; Marji Marji
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

The consumption of Indonesian society tend to be less healthy which resulted in various diseases. High cholesterol disease and hypertension have a high proportion rate. Both of diseases can be treat with hospitalization and outpatient. Outpatient costs are cheaper than hospitalization. But to regulate the consumption patterns of the patient's food is still difficult because of lack of knowledge. Techniques that can be used to by using genetic algorithms. The data used in this case were 137 foodstuffs grouped into sources of carbohydrates, animal protein, vegetable protein, vegetables, fruits, grease, milk and sugar. In the process of genetic algorithm using representation of integer permutation based on food index with chromosome length 168, crossover method with extended intermediate, mutation method with exchange mutation, and selection method with elitism selection. After conducting the test, the optimum parameters produced are the population size of 80 individuals, the value of cr = 0.3 and mr = 0.7 and generation 100. The final result is food for breakfast, lunch and night for seven days with nutritional content Which suits the nutritional needs of all family members, varied foodstuffs and budget-appropriate costs.
Identifikasi Tingkat Resiko Penyakit Lemak Darah Menggunakan Algoritme Backpropagation Zulianur Khaqiqiyah; Budi Darma Stiawan; Marji Marji
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

Blood fat or often known as lipid profile is one of the sources of energy in the body in the form of fat components that lie inside the blood vessels. Blood fat serves as a carrier of vitamins, forming cell walls and steroid hormones. But the amount of high blood fats can be resulting in the risk of dangerous diseases, such as heart disease and pancreatitis. To prevent further disease, then this study was made to determine the level of risk of internal blood lipid in a human body. The algorithm that is use for the classification process is one of the algorithms on the artificial neural network, that is Backpropagation. In the testing process carried out on the number of iterations, the effect of the value learning rate, and amount of training data. In this study the number of neurons used are 4 input layer, 4 hidden layer, and 3 output layers. Based on the process testing that has been done, obtained the highest accuracy of 89.20% with the value of learning rate is at 0.2, at the maximum iteration of 800 and 1000. Comparison of data used is 70 trainer data and 50 test data, with target of MSE is 0.0001. While the lowest accuracy obtained is worth 65.96% with comparison of data used is 10 trainer data and 30 test data, with the value of learning rate 0.2 and 1000 iterations at the maximum.
Optimasi Pemilihan Pekerja Kasar Perumahan Pada PT. Yaguna Bangun Pratama Menggunakan Metode Analytical Hierarchy Process dan Promethee Panji Prasuci Saputra; Marji Marji; Yuita Arum Sari
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

Technological advancement as a vessel for the interests of various jobs that occurred in this era, demands competent human resources. Human resources have a very important role in the interaction of capital factors, materials, methods, and machinery. One example of human resources is the building course workers. Hence, this journal examines rough building workers in PT. Yaguna Bangun Pratama. This journal tries to selectbuilding course workers who do not meet the criteria of the company (PT Yaguna Bangun Pratama). Based on these problems, it takes an application that can process the data into a system optimization of rough-labor election. The analytical hierarchy process (AHP) dan Promethee method was chosen because it was able to rank the best alternative from a number of alternatives. The test used is bu usingthe changes of 5 types of preference in the Promethee method. The results of the usual preference type and quasi preference type resulted in a match rate of 80%, whereas the linear preferences type and the linear preferences type with unlimited areas resulted in a match rate of 60%, and the type of level preference resulted in a match rate of 40%. In other words, the greater the percentage of the suitability of the system with the expert, the better the system is
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.
Optimasi Penentuan Rute Terpendek Pengambilan Sampah Menggunakan Multi Travelling Salesman Problem Ryan Mahaputra Krishnanda; Budi Darma Setiawan; Marji Marji
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

Garbage is an unending environmental problem and this issue needs to be considered and handled together. According to data of 2015 from the Satuan Kerja Perangkat Daerah (SKPD) or Regional Device Work Unit of Denpasar, the annual garbage production in Denpasar is 1,335,819.48 m3. In the same year, the volume of garbage transport from the Department of Hygiene and Gardening or also known as Dinas Kebersihan dan Pertamanan (DKP) reached 1,065,016 m3 or realized 79.73% and shows the DKP transport fleet Denpasar can not touch the 80% target. This study will determine the optimal route for some garbage transport vehicles from the DKP office to the dump points and end up in the landfill. This happens because of the problem from Multi Traveling Salesman Problem (m-TSP) and one of the algorithms to solve m-TSP problems is with genetic algorithm. The process of this genetic algorithm uses permutation representation, crossover reproduction process with one-cut point, mutation process with exchange mutation, and selection process with elitism selection. After conducting the experiment, the most optimal parameter is obtained in population with the amount of 100, with the number of garbage transport vehicles as much as 4, the value of cr = 0.3, mr = 0.7 and the generation of 900. The results of the program with the parameters will yield 0.569 as maximum average of fitness value.
Optimasi Fuzzy Time Series Menggunakan Algoritme Particle Swarm Optimization untuk Peramalan Nilai Pembayaran Penjaminan Kredit Macet Ratna Candra Ika; Budi Darma Setiawan; Marji Marji
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

Any problems related to bad credits or problem loans in Indonesia are not constant, there can be any decrease or increase in each month. So, it can cause on uncertain provision of fund budget for underwriting payment of credit claims by credit underwriting institutions. Therefore, it is necessary for a system that can predict on value of underwriting payment on bad credit claims as a consideration to determine nominal value to be provided in the following months by the credit underwriting institutions. In this research, the prediction is conducted using Fuzzy Time Series method, because the data used are prepared in a consecutive time from month to month. To create better prediction, it is optimized using Particle Swarm Optimization (PSO) algorithm, because the PSO algorithm has high decentralization with simple implementation so that it can solve any optimization problems in an efficient manner. The error level is calculated using Root Mean Squared Error (RMSE). Based on the testing, the best solution has an average cost value by Rp. 159215 with its program operation time by 13,2 second. The solution is created with maximum iteration by 250, the population by 100, length of particle dimension by 250, value of cognitive coefficient variable (c1) is equal with 1 and the social coefficient variable (c2) is equal with 1.5, as well as inertia weight value (w) is equal with 0,6. So that it can be concluded that this research can be applied for prediction on value of underwriting payment on bad credit.
Implementasi Metode Dempster-Shafer untuk Mendeteksi Penyakit Diabetes Mellitus Januar Dwi Amanda; Nurul Hidayat; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Early detection can minimize the risk of death from Diabetes Mellitus disease and first treatment for this disease. The detection that existed so far is still don manually, which means it depend on the expert who very limited on itquantity and also it diagnosis are costly. The disease expert can detect Diabetes Mellitus earlier and cheap. On this research this kind of Diabetes Mellitus that can be detected as many as 3 disease using Demspster-Shafer Method with input from user of symptoms. The method is used to analyze the data of system accuracy test between the detection and the result of Dempster-Shafer method calculation with 11 case data has the data accuracy level of 81,81%
Sistem Pakar Penentuan Gizi Makanan Bagi Pasien yang Opname Menggunakan Metode Fuzzy - Tsukamoto [Studi Kasus Klinik dan Rumah Sakit Ibnu Sina Dampit, Malang] Rizqi Addin Arfiansyah; Edy Santoso; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nutrition is everyone's requirement. Everyone needs a good nutritional intake. A healthy body certainly needs nutrition well. Especially with the condition of ill certainly require more nutrition in accordance with his illness. In this study at the clinic and hospital Ibn Sina Dampit there are patients who are hospitalized who need nutritional intake. In this case there is already a search method of required nutrient levels issued by the health department. With the name rumua AMB (basal metabolic rate). By using the formula AMB can know a number of calories needed. The authors discussed using Fuzzy Tsukamoto method as a reference for the determination of nutritional foods that work with experts to create an expert system of nutritional determination of food for patients who hospitalization. Here the author why using the method of Fuzzy tsukamoto due to Tsukamoto method method is stronger than Fuzzy Mamdhani or Fuzzy Tsugeno method. In the fuzzy inference system there are several methods, such as mamdani method, sugeno method, tsukamoto method, but in this thesis use tsukamoto method because tsukamoto method is one method of fuzzy logic, which is used to calculate the decision result (z) of a disease. It represents an input to the output space with an IF- THEN-shaped rule with a membership function that is represented by the state space of a sample and the resulting end result is a decision value as a weighted average (z). And produce accuracy with 90% accuracy percentage based on data used
Optimasi Fuzzy Times Series Untuk Memprediksi Besar Nilai Penjaminan Kredit KUR dengan Algoritme Genetika (Studi Kasus : Perum Jamkrindo Cabang Kendari) Sri Wahyuni; Budi Darma Setiawan; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every businessmen would want to expand his business to be bigger, to do that it needs a lot of funds. The bank can provide kredit usaha rakyat with some of reqruitment collateral that has be obeyed by bussinesmen, one of them is to provide guarantee, the problem is not all the bussinesment can provide the guarantor. Therefore bussnismen need guarantor institution help in order to fulfill the requiment. As the Demand from banks for credit guarantee to increase every month, it ensures that the guarantor institution must increase its budget to guarantee the kredit usaha rakyat. Therefore a system that is able to predict the amount of guarantee value will be needed in order to meet the demand of the bank. In this research the method used to predict is Fuzzy Time Series which will be optimized using Genetic Algorithm. A chromosome is used to represent the interval of a membership function. The reproduction method is one-cut-point crossover and uniform mutation. And do the selection process by using elitism selection. The optimal results obtained with the length of chromosome as much as 100, the population size of 350, cr and mr of 0.3 and 0.6 and the number of generations as much as 1000. The error and fitness value generated by 0.00901% for MAPE and 110.95098192994908 for fitness value.
Peramalan Jumlah Kasus Penyakit Menggunakan Jaringan Saraf Tiruan Backpropagation (Studi Kasus Puskesmas Rogotrunan Lumajang) Andika Harlan; Budi Darma Setiawan; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Changes in the number of cases of disease is very influential on health improvement efforts both in terms of medicines availability, targeted medicines, damaged medicines and so forth. Knowing the pattern of the number of cases of disease is very important for some activities and jobs that exist. Therefore it is necessary to forecast the number of cases of disease to determine the pattern of the number of cases of disease in the future. One of the most common method of artificial neural network forecasting is Backpropagation. This study aims to forecast the number of cases of disease by using the case study of puskesmas Rogotrunan, Lumajang using Backpropagation method. Backpropagation parameters tested are the amount of data (n), alpha (α), and the number of iterations (epoch). Forecasting the number of disease on cases with test data from January to December of 2016 conducted using Backpropagation resulted in the value of MSE 115 and the accuracy of 0.0088.
Co-Authors Achmad Burhannudin Adam Hendra Brata Adhikari, Basanta Prasad Adhiyatma Mugiprakoso Afifah, Nadiyah Hanun Agi Putra Kharisma Agung Kurniawan Agustian, Moch. Alfredo Barta Ahmad Fauzan Rahman Ahmad, Baihaqi Aldy Satria Andika Harlan Andini Agustina Anita Sulistyorini Annisa Selma Zakia Ardhimas Ilham Bagus Pranata Arifin, Maulana Muhamad Asti Melani Astari Atika Anggraeni Audi Nuermey Hanafi Bagus Abdan Aziz Fahriansyah Bahruddin El Hayat Baihaq, Firda Barlian, Salwa Isna Bayu Rahayudi Bayu Septyo Adi Budi Darma Setiawan Budi Darma Stiawan Cahyo Adi Prasojo Candra Ardiansyah Choirul Anam Cindy Puspita Sari Cindy Rizki Amalya Dani Irawan Daud, Nathan Dea Widya Hutami Dewi Yanti Liliana Dian Eka R Dian Eka Ratnawati Djoko Kustono Dwi Yana Wijaya Dyva Agna Fauzan Edy Santoso Edy Santoso Edy Santoso Endang Wahyu Handamari Erwin Komara Mindarta Fanani, Erianto Fatih Kamala Nurika Gilang Ramadhan Gustian Ri'pi Hadi, Moch. Sholihul Handoyo, Samingun Hary Suswanto Hasan Ismail Ilham Romadhona Imam Cholisoddin Imam Cholissodin Imam Muda Nauri Imran Imran Indriati Indriati Indriati Indriati Issa Arwani Istiana Rachmi Istiqomah, Mutiara Titian Januar Dwi Amanda Jeffrey Simanjuntak Kenty Wantri A Kohei Arai Kurnianingtyas, Diva Lailatul Fitriah Lailil Muflikah Lailil Muflikhah Lailil Muflikkah Laily Putri Rizby Laksono Trisnantoro Leni Istikomah Liana Shanty Wato Wele Keaan Lilik Zuhriyah Lilis Damayanti Luthfi Faisal Rafiq M Chandra Cahyo Utomo M. Alfian Mizar Made Bela Pramesthi Putri Mahmudi, Wayan Firdaus Maududi, Affan Al Michael Adrian Halomoan Mochammad Pratama Viadi Mountaz, Lotu Muchammad Harly Muhamad Altof Muhamad Hilmi Hibatullah Muhammad Fakhri Mubarak Muhammad Hafidzullah Muhammad Indra Harjunada Muhammad Ramanda Hasibuan Muhammad Rizkan Arif Muhammad Robby Dharmawan Muhammad Tanzil Furqon Muhammad, Naufalsyah Falah Muzdalifah Yully Ayu Nonny Aji Sunaryo Nurul Hidaya Nurul Hidayat Nurul Hidayat Okvio Akbar Karuniawan P. P. S, Gladis Viona Pangestu, Wiyan Dwi Panji Prasuci Saputra Paryono Permadani , Anda Permatasari, Adelia Pratitha Vidya Sakta Prawidiastri, Firnadila Pricielya Alviyonita Rafely Chandra Rizkilillah Ratih Kartika Dewi Ratna Candra Ika Razaq, Hilal Nurfadhilah Retiana Fadma Pertiwi Sinaga Revinda Bertananda Riana Nurmalasari Ricky Irfandi Ricky Marten Sahalatua Tumangger Rizqi Addin Arfiansyah Rosalinda, Nadia Ryan Mahaputra Krishnanda Sabrina Hanifah Sari, Resti Novita Shinta Anggun Larasati Sri Wahyuni Sri Widyarti Sumarli Sumarli, Sumarli Supraptoa Supraptoa Supriyadi Supriyadi Sutrisno Sutrisno Swandy Raja Manaek Pakpahan Syarif Suhartadi Tahtri Nadia Utami Tawang Wulandari Tika Dwi Tama Usman Adi Nugroho Wayan Firdaus Mahmudy Wulandadi, Retno Yamlikho Karma Yayuk Wiwin Nur Fitriya Yuita Arum Sari Yusufrakadhinata, Muhammad Zulianur Khaqiqiyah