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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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Pengembangan Sistem Seleksi dan Monitoring Atlet Shorinji Kempo Kota Malang berbasis Web Dwi Tyas Fitriya Ningsih; Edy Santoso; Nurudin 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

Shorinji kempo is a martial art originating from Japan and began to develop in Indonesia since 1966. Now, martial arts are not only used for self-defense, but there have also been regional, national and international championships. Prior to participating in the championship, prospective athletes will be selected to choose the best in terms of physical and technical aspects. Then there will be coaching athletes for several months. The selection and coaching of sports athletes is handed over directly to the management of the sports branch. So that the Malang KONI did not know directly the results of the selection. Assessment during selection is also still done manually and conventionally, namely on a sheet of paper. In addition, the athlete's progress every day is not recorded regularly so that it cannot be known whether the athlete has decreased or increased either physically or technically. Based on these problems, the researchers proposed a system for athlete selection, and related parties could immediately see the results so that there was no cheating. At the time of coaching athletes there is monitoring of athlete performance during daily training. The system development method uses the waterfall development method. From the implementation carried out, it produces the main features of athlete selection, athlete development graphs and recommendations for physical exercise. The system is built with the MVC architecture using the Codeigniter framework. System testing using white box testing and black box testing methods.
Klasifikasi Dokumen E-Complaint Kampus menggunakan BM25 dan K-Nearest Neighbor Khairinnisa Rifna; 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

In an educational institution, a forum is absolutely needed where the academic community severely provides suggestions and criticisms about what they feel about the educational institution facilities such as a forum for criticism and suggestions provided by Brawijaya University, namely e-complaint. E-complaint is a facility managed by the campus as a means of accommodating suggestions, criticisms, opinions from users regarding services or facilities provided by the campus. However, the e-complaint facility is currently considered to be less than optimal because the criticism or suggestions submitted by the academic community are not processed quickly by the parties concerned. This is because the e-complaint manager sorts the documents manually which causes a long time process and the e-complaint manager does not sort the documents based on importance and urgency so that the process of solving the e-complaint's problem is not sorted by the priority of the urgency. Therefore, a system is needed that can classify campus e-complaint documents based on their level of importance and urgency. In this study, a text pre-processing process was carried out, which was then carried out using the BM25 method as a ranking method and the K-Nearest Neighbor method as a classification method. Based on the test results using k-fold cross validation, the highest average value of precision is 1, recall value is 0,46875, f-measure value is 0,6875.
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.
Rekomendasi Kelayakan Peminjam menggunakan Metode Fuzzy Tsukamoto Muh Hamim Fajar; Edy Santoso; Lailil Muflikhah
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

Cooperatives is one of the business fields that offer savings and loans. To become a member of the cooperative or to make savings and loans a person must meet the requirements that have been determined by the cooperative. Due to the limited funds owned by the cooperative, the selection of someone to get help is done to reduce payment problems. In this study, calculations were carried out in order to recommend the feasibility of the borrower using the fuzzy tsukamoto method approach. There are several processes using the Fuzzy Tsukamoto method to solve these problems is Fuzzyfication, Tsukamoto's Fuzzy Inference system and defuzzification. In the process of fuzzyfication is to change the real variables into fuzzy variables. Then, the process of the tsukamoto fuzzy inference system is to find the value of -predicate and z, and finally defuzzification is to change the fuzzy variable into a real variable. Based on results of the tests carried out use the Tsukamoto fuzzy method of cooperative data KUD "SRI LESTARI" obtained very good performance results with an accuracy value of 87.88% and an F-1 score of 92.96%.
Klasifikasi Penyakit Infeksi Saluran Pernapasan Akut (ISPA) dengan menerapkan Metode Fuzzy K-Nearest Neighbor Jeffrey Simanjuntak; Edy Santoso; Marji Marji
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

Acute Respiratory Infection (ARI) is an infection of the respiratory tract, this respiratory disease causes symptoms such as cough, cold, and fever. Acute Respiratory Infection disease can be very dangerous, ARI will spread throughout the respiratory system if not treated quickly. Groups of people who are susceptible to this disease are those who have weak body divine power, namely those who have immune system disorders, people with old age, and children. ARI can easily attack children because children have an immature immune system. In this study, the Fuzzy K-Nearest Neighbor algorithm is used on the system for classify ARI diseases. In this study, Acute Respiratory Infection was classified into mild Acute Respiratory Infection and severe Acute Respiratory Infection. The clarification process in this research consists of normalization, Euclidean distance, then Fuzzy K-Nearest Neighbor classification. The results of the test using 10 test data and 50 training data, obtained an accuracy of 90% at K = 10, then tested the effect of the K value on the accuracy at K between 2 to 10 with the highest result at K = 7 which is 90%. The accuracy value obtained by the system remains the same until K = 10, which is 90%.
Implementasi Metode Analythic Hierarcy Process (AHP) - Technique for Other Preference by Similiarity to Ideal Solution (TOPSIS) untuk Perangkingan Hasil Kerja Pegawai Collection Bank BTN Wahyu Dwiky Rahmadan; Nurul Hidayat; Edy Santoso
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

In suppressing the growth of non-performing loans (NPL), Bank industries focuses on debtors who neglect or forget to make payments, so that the Bank collects payments every month. To get maximum results from employees who manage billing in the field, one of them is done by ranking employee performance. The ranking is done to fill spending to become the employee with the first rank. Bank BTN assesses all billing sections with a simple system using Microsoft Excel. This study was conducted by using the AHP-TOPSIS method to rank region 1 of Bank BTN in order to assess the performance of CCRD employees. The Analytical Hierarchy Process method is a method of making decisions by making comparisons between choice criteria and also pair comparisons between existing choices. The TOPSIS method is based on the concept that the best chosen not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution from a geometric point of view by using the Euclidean distance to determine the closeness of an approximation to the optimal solution. The results of the tests that have been carried out, obtained an overall final average of 86,38889%.
Analisis Sentimen Masyarakat Indonesia terhadap Covid-19 pada Media Sosial Twitter menggunakan Metode Naive Bayes Tuahta Ramadhani; Yuita Arum Sari; Edy Santoso
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 often used by users to write or discuss issues and various topics that are currently happening. Twitter, which has many active users, is able to create a Twitter trending topic, where people are able to freely share information as well as the latest opinions on issues that are being discussed internationally. Not only as a liaison for socializing and interacting, Twitter can be used as a means of giving hope and showing about many things that are happening also in the community, such as in the case of the Covid-19 pandemic in Indonesia. With the emergence of the Covid-19 pandemic, it has caused various opinions from citizens, especially on Twitter social media users, especially the Indonesian people. Information about the views of residents is conveyed very quickly. there are those who defend and disagree regarding the information regarding the emergence of the Covid-19 pandemic. Everyone has their own thoughts and opinions, therefore this sentiment analysis can be applied to find out people's opinions on events that occur. In addition, in this study, sentiment analysis can be used to determine the level of accuracy based on data comments or opinions contained on Twitter social media. This study uses a classification strategy based on the Naive Bayes algorithm to classify text into three classes, namely positive, negative, and neutral. The use of this algorithm is also because it is a simple method. The difference between this study and previous research is the object of research which focuses on tweet comments related to Covid-19. From this study, it can be concluded that the results of the sentiment analysis system using the Naive Bayes method for Covid-19 data on Twitter and the level of accuracy with the Confusion Matrix are 87%.
Komparasi Hasil Metode Fuzzy Mamdani dan Tsukamoto untuk Prediksi Produksi Benih Padi (Studi Kasus : Kebun Benih Tunjung Kabupaten Bangkalan) Elna Diaz Pradini; Edy Santoso; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 2 (2022): Februari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Rice is a plant that is cultivated by the government. In order to support the maximum rice production, high-quality rice seeds are needed. One of the certified rice seed producers in Bangkalan Regency is the Tunjung seed garden. The problem with the UPT of Tungjung Bangkalan Regency, when producing certified rice seeds, is that it is difficult to know the exact prediction results using the Ubinan method. To overcome these problems, other prediction methods that is close to accurate are needed. In this study, the Mamdani and the Tsukamoto fuzzy methods are used, which are quite often used to solve prediction problems. This study aims to compare the fuzzy Mamdani and Tsukamoto methods, to find out the best accuracy results based on the smallest MAPE value. Based on the results of the tests that have been carried out, the Tsukamoto method has a better accuracy rate than the Mamdani method. he best results from Tsukamoto's MAPE method, the rainy season and dry season are 0.0%. While the best results from the Mamdani method of MAPE in the rainy season are 13.07% and the dry season is 17.0%.
Optimalisasi Jumlah Produksi Madu menggunakan Metode Fuzzy Mamdani (Studi Kasus Al-Honey Kediri) Lailatul Fitriah; Edy Santoso; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 13 (2022): Publikasi Khusus Tahun 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dipublikasikan di JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika)
Klasifikasi Risiko Penyakit pada Ibu Hamil menggunakan Metode Modified K-Nearest Neighbor (MKNN) Yogi Pinanda; Wayan Firdaus Mahmudy; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Pregnant women need to increase their knowledge to find out how big the level of risk of getting a disease, especially because of the vulnerability of pregnant women. Classification of the level of disease risk in pregnant women is expected to assist users in finding the right solution to overcome it. The classification method used to determine the level of disease risk for pregnant women uses Modified K-Nearest Neighbor (MKNN). Classification of disease risk levels in pregnant women using the Modified K-Nearest Neighbor (MKNN) method can make it easier to detect disease based on existing factors. The Modified K-Nearest Neighbor (MKNN) method is implemented on the expert system inference engine so that conclusions can be drawn based on existing knowledge. The results of the accuracy of the system obtained after testing is 85% which indicates that the Modified K¬-Nearest Neighbor (MKNN) method is suitable for studying the level of disease risk in pregnant women.
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