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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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Optimasi Pengiriman Barang menggunakan Algoritme Genetika dengan Data Sintesis Aulia Dinia; Imam Cholissodin; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 10 (2021): Oktober 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Delivery of goods is preparing the delivery of goods from the warehouse to the destination that has been adjusted to the order and delivery documents and in conditions that are in accordance with the requirements for handling the goods. Problems that often occur are the destination locations that are taken have different locations, the goods sent do not reach their destination, couriers who do not understand the delivery route, and lack of determining the distance from one location to another. Therefore, it is necessary to optimize the delivery of goods so that delivery can be carried out more efficiently. One method that can be used to solve this problem is genetic algorithm. Genetic algorithm is a computational method used to select a solution that fits the criteria without having to examine all possible solutions. In this study, a global analysis was carried out by comparing the results of manual calculations with the actual results of the system. Where the manual calculation is the result of deliveries made by JNE without the help of the system. The difference in fitness between the results of manualization of JNE delivery and the results of the system recommendation is 0.007950764. With the results of the recommendation system that gets a fitness of 0.1083108 is better than the results of manualization which produces a fitness of 0.1003060036.
Implementasi Hybrid Algoritma Genetika dan Simulated Annealing untuk Optimasi Nutrisi Makanan Atlet Endurance Shafira Eka Aulia Putri; Bayu Rahayudi; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Food is the main source of energy for humans. Sufficient energy can support the performance of daily activities, especially for athletes, such as endurance athletes. Endurance athlete sports activities have a long enough duration so they require a lot of energy. Therefore, the selection of food components for athletes every day can be one of the supporting factors in providing their best performance. The current research provides a solution in the form of recommendations for food ingredients in 1 day for endurance athletes by considering their nutritional needs using a hybrid genetic algorithm and simulated annealing method. The food ingredients component has a total of 125 data, consisting of staple foods, vegetables, animals, and complementary foods that have carbohydrates, proteins and fats in them. Recommendations are given in the form of chromosomal representation of 14 food ingredients consisting of 3 food packages. Based on the testing process, the optimal parameter has a population of 1000, 2000 generations, the combination of Cr = 0.1 and Mr = 0.9, T0 = 0.7, T = 0.5, alpha value = 0.2. The results of this study resulted in recommendations for food components by considering the nutritional needs of athletes within the tolerance limit of nutritional content, which is ±10% for endurance sports athletes.
Optimasi Rute Distribusi Logistik pada Bekangdam dengan Algoritma Bee Colony Nadiah Nur Fadillah Ramadhani; Bayu Rahayudi; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Kodam V Brawijaya is the Regional Defense Command in East Java Province. The area of ​​Kodam V Brawijaya covers areas spread across East Java such as Pacitan, Ngawi, Madiun, Blitar, Nganjuk, Kediri, Mojokerto, Malang, Situbondo to Banyuwangi. One of the bodies in Kodam V Brawijaya is Bekangdam. Bekangdam or Kodam Transport Provisions is the regional implementing agency of the Indonesian Army in the regions whose function is to provide supplies for combat logistics and war transportation. The supplies for Bekangdam will be distributed to the areas of Kodam V Brawijaya. In addition to combat equipment and war transportation, Bekangdam's logistics are in the form of food, medicine and other basic materials. The distribution process at Bekangdam uses land transportation in the form of trucks. Bekangdam has obstacles in determining the optimal route because of that in the delivery process Bekangdam often experiences delays. Based on these problems, an appropriate method is needed to deal with this problem, this study uses the bee colony algorithm in solving the case of multiple traveling salesman problems with the aim of finding the optimal route in the logistics distribution process. Based on the tests carried out, the route generated by the system is more optimal than the route chosen by Bekangdam V Brawijaya. This study obtained the optimal value for the 115th popsize, the 40th limit and the 1200th iteration. From the parameters used, the total distance from the system was 2454.65 km, while the total distance selected by Bekangdam was 2874.1 km.
Optimasi Kombinasi Bahan Makanan untuk Meningkatkan Imunitas dan Pencegahan Dini Tertular Covid-19 pada Usia Dewasa Muda menggunakan Algoritma Genetika Anggi Novita Sari; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The Covid-19 pandemic is a new virus that attacks the body's immunity, various steps and efforts have been made to prevent transmission of the virus. The problems experienced are that the spread of Covid-19 is very fast, lack of exercise and high stress levels can weaken the body's immunity, and a poor diet can worsen the body's immunity. And there is no computer-based system to determine the combination of food ingredients as a form of early prevention of contracting Covid-19. The Ministry of Health provides an appeal for the fulfillment of balanced nutrition to increase body immunity so that it can reduce the risk of chronic diseases and infections with optimal nutrition to build or improve the body's immunity to work properly. In solving optimization problems, genetic algorithms can be used, which are effective in solving optimization problems with chromosomal variations obtained through the basis of biological evolution with a wide search space, so that they are not trapped in the local optimum. This study provides recommendations for food ingredients that can be consumed for 2 days and in consultation with nutritionists. Based on the test, the most optimal results are obtained with a combination of the values ​​of cr 0,3 and mr 0,7 with an average fitness value of 0,848, a population size of 160 with an average fitness value of 0,917, and the number of generations 241 with an average fitness value of 1,076. And can save expenses by 33% in a day with an average cost of Rp26.800 for men and 42% for women with an average cost of Rp23.350.
Sistem Prediksi Hasil Produksi Udang Vaname menggunakan Algoritma Multiple Linear Regression (MLR) Kombinasi Gradient Descent (GD) dengan Apache Spark Wicky Prabowo Juliastoro; Imam Cholissodin; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Vannamei shrimp is a shrimp in the tiger prawn pond culture favored by the Indonesian people because it has an economical price and has the expected prospects and benefits. The cultivation of vaname shrimp is quite tricky compared to tiger prawns. Vannamei shrimp is vulnerable to diseases such as White Faces Syndrome (WFS) and White Spot Syndrome (WSS) which results in death and a decrease in the amount of production produced. The decrease in production results is also caused by poor air quality management such as poor air circulation, irregular ponds, and providing excessive feed which causes poor air quality. Therefore, an algorithm is needed that can predict the production of vannamei shrimp based on the quality of the water used so that cultivators can take preventive actions against problems that occur. In this study, prediction is carried out into several processes, namely, pre-processing, data normalization, prediction, and calculation of the error value. In the prediction process, the algorithm used is Multiple Linear Regression (MLR) a combination of Gradient Descent (GD) with Apache Spark and in the process of calculating the error value using the Root Means Square Error (RMSE) method. The results of this study are based on the testing process using water quality data for 1 harvest of ponds owned by FPIK UB partners in. Lamongan which consists of 18 parameters in 4 different pools, the RMSE value is 210,634 and the Adjusted R-Squared value is 0.8341 with a training and testing data percentage of 70%:30%, the number of features is 18, the alpha value is 0.33, the error value is 0. .01 and the number of nodes is 6.
Optimasi Multiple Travelling Salesmen Problem Distribusi Produk PT Indomarco Adi Prima (Stock Point Nganjuk) dengan menggunakan Algoritma K-Means dan Algoritma Genetika (GKA) Yusuf Afandi; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Distribution is one thing that is very important so that a product can be delivered to customers / consumers. The job of a salesman is to visit the store or customer one day before the goods are shipped to offer the product and record the ordered goods. Factors that must be considered in the process are the time and costs required to be as minimal as possible. One aspect that can influence these two factors is the optimal travel route. In this study, the problem that we will try to solve is the optimization of product distribution routes at PT Indomarco Adi Prima (Stock Point Nganjuk) which has several points to be visited by more than one salesman one day before the distribution of goods. There are several processes to solve these problems, namely input data in the form of latitude and longitude data, then the data will be divided into several clusters according to the number of salesmen in the company, then each cluster will look for the shortest route for 5 working days and the end result is all the shortest routes from each cluster the total distance traveled will be calculated. Based on the results of tests that have been carried out using latitude and longitude data obtained from PT Indomarco Adi Prima (Stock Point Nganjuk), the most optimal route results with a total distance of 259.722337 km with a fitness of 0.385026. The most optimal parameter is when the population size is 1600, the number of generations is 800 with a combination of crossover rate (cr) 0.4 and mutation rate (mr) 0.6.
Analisis Sentimen Twitter menggunakan Metode Naive Bayes dengan Relevance Frequency Feature Selection (Studi Kasus: Opini Masyarakat mengenai Kebijakan New Normal) Kresentia Verena Septiana Toy; Yuita Arum Sari; Imam Cholissodin
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 11 (2021): November 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

COVID-19 first appeared in wuhan, China and spread around the world. The virus spread very rapidly, including in Indonesia. The Indonesian government seeks to implement policies to suppress the COVID-19 case increase. Implemented policies have a new impact on communities, such as job downsizing, layoffs of work relationships and other effects on the country's economy. Consequently, the government adopted a new policy called new normal. New normal has become a topic of debate among the public on twitter's social media. Public opinion can be classified into positive, negative, and neutral opinions and require analytic sentiments. The sentiment analysis process is based on pre-processing for opinion processing, Relevance Frequency Feature Selection to reduce the number of features, and the classification using Naive Bayes methods. The dataset is 300 public opinion data, with the distribution of data using k-fold validation in k=5. The results of 5 tests using Naive Bayes classification, obtained an average accuracy of 62,6%, while the results of classification accuracy tests with the addition of Relevance Frequency Feature Selection obtained an average accuracy of 65,3%.
Penerapan Metode AHP dan TOPSIS sebagai Sistem Pendukung Keputusan untuk Pemilihan Laptop Baru dan Bekas sebagai Media Penunjang Pembelajaran Masa dan Pasca Pandemi COVID-19 Mohammad Aditya Noviansyah; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

During pandemic period student requires to receive online education because of government regulations to limit activities outside home. Online learning support media such as laptops, mobile phones and computers need to be owned to run online education. These problems have resulted in the need for online learning support devices that continues to grow, including the sale of laptops. Laptops have various specifications, differences in specifications in laptops will affect the function of their use. During the pandemic, students on average use laptops for office application and attending online classes which require low specifications. In addition, laptops are also used by them for graphic design or for gamers, which requires high specifications to meet their needs. To buy a laptop according to user needs, user need an expert to get the optimal laptop recommendation according to user needs. Problems in choosing the optimal laptop according to needs can be solved with a Decision Support System (DSS), which is known as a branch of science in operations research that can be used as decision support in a mathematical model. In this research, the method of Analythical Hierarchy Process and Technique for Order Preference by Similiarity to Ideal Solution are the methods chosen for decision making. The results of the implementation of laptop selection recommendations with the AHP and TOPSIS methods obtained an accuracy of 99.85%. Changes in accuracy can be affected by the paired criteria entered and the minimum specification laptop entered by the user.
Analisis Sentimen Masyarakat terhadap Sistem Pembelajaran Online selama Pandemi Covid-19 berdasarkan dari Twitter menggunakan Metode Naive Bayes Moch Bima Prakoso; Imam Cholissodin; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Twitter is one of the most popular social media among young people in Indonesia. In Twitter social media, there is a tweet feature that is commonly used by users to express their experiences or provide criticism on an event that is currently being discussed. At the beginning of March 2020, Indonesia was shaken by the entry of the corona virus or commonly known as Covid-19. Previously the virus had spread in parts of the world, especially in the Asian continent. The impact of Covid-19 in Indonesia is very large, especially in the corporate and education sectors. In the corporate sector, many companies are experiencing a decline in income and are threatened with bankruptcy, not much different from the education sector also experiencing various problems, to prevent the spread of the virus the government has closed teaching and learning activities. Then the government provides a policy to conduct online or online teaching and learning activities. In this solution, there are still pros and cons among the community. Therefore, the data grouping of community tweets related to the online learning system during the pandemic was carried out, using the Naive Bayes method of community tweets. This test was carried out using Cross Validation and Confusion Matrix to obtain accuracy results. In this study, accuracy results were obtained with 10 trials with an average value of 0.59 Accuracy, 0.61 Precision, 0.60 Recall, 0.58 F-Measure.
Optimasi Gizi Bahan Makanan pada Anak - Anak untuk Tumbuh Kembang menggunakan Algoritma Genetika (Studi Kasus : Dinas Kesehatan Kabupaten Kediri) Putri Ratna Sari; Imam Cholissodin; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 12 (2021): Desember 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Around 70% of parents in the Mojo district are still not familiar with foods that contain optimal nutrition for children. Nutrition that is not optimal will cause disease in children and make growth and development not perfect. In Kediri Regency itself, many children are overweight or often referred to as obese. The obesity rate in Kediri Regency reaches 80%. The problem of optimizing the nutrition of foodstuffs can be solved by an optimization algorithm, namely the Genetic Algorithm. A Genetic Algorithm is an algorithm that uses the basis of natural selection and evolution from biology and can combine sequences of structures with information in a random way. In this study, to determine the representation of the solution generated from the genetic algorithm, testing was carried out on the effect of the parameter values. Optimal parameter results, namely the generation of 1200, the value of Crossover Extended Intermediate of 0.5, the value of Reciprocal Exchange Mutation 0.9, and Popsize 60 by using the optimal parameters, the optimal category of food ingredients will be known, the price according to weight, and recommended nutrition for the patient. From the results of using optimal parameter testing, we get a package of food ingredients that match the need, differences, and price, in the test the difference in content between food ingredients and nutritional need is 6,1 % for Rp. 37.722,00 for patients with male gender and 5,4% for patients with female gender for Rp. 32.040,00.
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