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All Journal Jurnal POINTER Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Nurul Hidayat
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Perbandingan Kinerja Routing Multi-Copy dengan Manajemen Buffer Last In First Out pada Delay Tolerant Network Benedict Abednego Hasibuan; Nurul Hidayat
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

Some areas do not have adequate internet connectivity due to large delays and high loss rates on the network. These problems can be solved by applying the concept of Delay Tolerant Network (DTN). DTN has advantages in overcoming networks with low connectivity, large delays and high loss rates. In DTN network there is Multi-Copy routing which can increase data transmission speed and reduce delay, but this routing model requires more network resources such as buffer size. Optimizing the buffer space can be overcome by adding buffer management and Packet Priority, while the Stationary Relay Node can be used to increase the possibility of sending messages successfully. The research applies the Multi-Copy routing protocol by adding buffer management Last In First Out, Stationary Relay Node and Packet Priority simulating it with ONE simulator. Tests were carried out on Spray and Wait, Epidemic and MaxProp routing using three test parameters, namely Overhead Ratio, Delivery Probability and Latency Average. The test results show that the Spray and Wait routing performance is more optimal than other routing protocols with an Overhead Ratio value of 5.1298 with the Stationary Relay and Delivery Probability of 94.93% in a 5MB buffer with Stationary Relay. Meanwhile, the lowest Latency Average value is in MaxProp routing of 993.8513 seconds without the addition of a Stationary Relay Node.
Implementasi Metode Naive Bayes untuk Diagnosa Pengidap Demam Berdarah pada Kelurahan Antasan Besar berbasis Web Akhmad Wahyu Redhani; Nurul Hidayat; Suprapto Suprapto
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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Dengue Hemorrhagic Fever (DHF) is one of the public health problems in Indonesia where the number of sufferers tends to increase and its distribution is getting wider, especially for the Antasan Besar sub-district. The use of web-based technology systems in assisting the diagnosis of dengue fever is currently very necessary. The system that is built to get accurate diagnostic results requires a method. The Naive Bayes method is one of the techniques that can be used to perform analysis in determining the diagnostic results from a number of data studied with the aim of producing optimal results. The use of the Naive Bayes method in this application is due to the probability that the accuracy value of the Nave Bayes method is close to the accuracy value of the experts. In this study, 3 trials were conducted using 4 test data and the results showed that based on the three experiments, the accuracy values ​​ranged from 96% to 97%, indicating that the classification accuracy has a small error value. So the classification using Naive Bayes in this study can be applied to determine the classification of the incidence of dengue hemorrhagic fever.
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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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%.
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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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%.
Klasifikasi Mutu Susu Sapi menggunakan Metode Modified K-Nearest Neighbor (MKNN) Reyvaldo Aditya Pradana; Imam Cholissodin; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 3 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Milk is a very complex food ingredient, because milk has many ingredients needed by the human body. It is necessary to control the quality of cow's milk in order to produce high quality dairy products. With the development of food technology for cow's milk products, UPT Laboratory of Animal Health Malang by creating an application system that can classify the quality of cow's milk. This cow's milk quality application system uses input in the form of chemical composition where this composition is taken with the Julie C2 Milkscope tool. The chemical composition of milk consists of fat, lean dry matter, viscosity, lactose and protein. There are various methods used. This study uses the Modified K-Nearest Neighbor method and the dataset used is 269 cow's milk quality data with 5 parameters and 2 yield classes. Based on several studies, the Modified K-Nearest Neighbor method can be used in the classification process and obtain a fairly high level of accuracy. Based on the test results, the average test accuracy value of K value is 91.1%, then the average value of the accuracy of testing the effect of the amount of training data is 88.4%, and the average value of balanced and unbalanced class testing accuracy is 86.12%. It can be concluded that the Modified K-Nearest Neighbor method can be implemented and tested into the cow's milk quality classification system.
Implementasi Metode Analytical Hierarchy Process (AHP) - Weighted Product (WP) dalam Sistem Pendukung Keputusan untuk Rekomendasi Pelanggan Terbaik berbasis Website (Studi Kasus: PT. Pelabuhan Indonesia IV (Persero) Makassar) Niftah Fatiha Armin; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At PT. Pelabuhan Indonesia IV, of course, there are customers who cooperate and become company partners. Customers who have contributed positively to the growth and progress of the company will have the opportunity to get an award as the best customer. A customer can be said to contribute positively by remaining a partner of the company. With this award, customers can be more enthusiastic to continue using the services of PT. Indonesian Port IV. Including in the economic sector, without customers, economic growth in remote areas will be less developed because one of the biggest modes of transportation is using ships or containers. In determining the best customer PT. Port of Indonesia IV is still using a manual process. This is an obstacle for PT Pelabuhan Indonesia IV Makassar. Therefore, to get the best client advice at PT. Pelabuhan Indonesia IV Makassar, thea researcher's decision on thea grounds that the AHP-WP technique is the right technique to be run into a system that supports it in accordancea with the consideration of the consistency of the evalauation results that have been carried out by looking at the existing variables. Solving the problem in this research is by implementing the Analytical Hierarchy Process (AHP) - Weighted product (WP) technique to get the best client advice at PT. Port of Indonesia IV Makassar. Based on the application of the AHP - WP methoad obtained from the system, it can be declared valid. The accuracy results of 80% obtained from accuracy testing with the results of the questionnaire as many as 8 respondents who have accurate results on thle Analytical Hierarchy Process methodi.
Klasifikasi Buku Perpustakaan menggunakan Metode Naive Bayes Risda Nur Ainum; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Each library has book data that is stored and then developed to make it easier to classify the data Borong State Elementary School. This library stores book data that is managed. Data mining is for method that can be used is Naive Bayes where this method will be used to develop library books. This research is focused on knowing the library information system and classified in the category of types of books. From this classification, the system will provide information to students who will borrow books the categories available in the library. The input of this system is data regarding information. Variable used is type book that is often borrowed. Data mining technique algorithm tableas basis for book classification process. The input data will be processed using the data mining technique of the Naive Bayes Classifier (NBC) algorithm to form a probability tableas basis for the book classification process. In the form a library performance classification that predicts the of books and provides recommendations for the process of borrowing books in a timely manner. Factors classification library information are book publishers, book authors and year of publication. Library manager. Testing on library data 100% with a high level of accuracy category.
Optimasi Jadwal Pembelajaran Sekolah menggunakan Metode Hybrid Cat Swarm Optimization (Studi Kasus: SD Muhammadiyah 2 Denpasar) I Gede Adi Brahman Nugraha; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 8 (2022): Agustus 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Educational Timetable are the main administrative activity for various institutions. In this study, the researcher will concentrate on the problem of school timetabling. School timetabling at SD Muhammadiyah 2 Denpasar is made every new school academic year. In this study, a system was created that can perform school scheduling using the hybrid cat swarm optimization method in optimizing school timetable. The performance of the hybrid cat swarm optimization algorithm, it shows that the average fitness value shows the best results on the number of cats of 10, CSO iterations of 750, and LSRP iterations of 500 with a fitness value of 104,243. Timetabling using system is able to obtain school timetable without any teacher clashes.
Prediksi Omzet Penjualan Jersey menggunakan Metode Regresi Linier (Studi Kasus CV. Quattro Project Bululawang) Raymond Gunito Farandy Junior; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 10 (2022): Oktober 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The benefits of the jersey in the game of football are not just ordinary clothes, but as a shirt specially designed for the convenience of players. Attributes such as jersey color and back number as distinguishing information from other players. If in the game of football, the function of the jersey and attributes such as shirts, flags, colors, and jersey numbers is as a differentiator with the opponent, precisely as fans use these shirts and attributes as identity. CV. Quattro Project is one of the jersey manufacturing companies engaged in the production and procurement of sportswear. To maintain business detail and make plans for the following months then CV. Quattro Proect requires a method that can predict turnover in the next month, in this study the method used is linear regression and the data used is the turnover history data for the past year. From the tests that have been carried out almost every test, it produces the largest MAPE when used to predict turnover in November 2021, MAPE is very large because there is a significant decrease in turnover from October to November. However, overall the resulting average is good because the MAPE is only 10.23201. that means Linear Regression is a pretty good method used to do turnover predictions especially in businesses whose turnover tends to be stable.
Klasifikasi Tingkat Resiko Serangan Penyakit Jantung menggunakan Metode K-Nearest Neighbor Denis Ahmad Ryfai; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 10 (2022): Oktober 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Heart disease is one of the most common diseases that cause death worldwide. In Indonesia, in 2014 the Sample Registration System (SRS) survey explained that 12.9% of the main cause of death at all ages was coronary heart disease. Early detection of the possibility of heart disease is needed to prevent the worst that can happen to everyone. A classification method that can be implemented into a software for detecting the risk level of heart disease attacks is K-Nearest Neighbor (K-NN), which is a method that classifies based on training data by looking at the closest distance with the Eucledian Distance formula to identify objects class as much as the value of K. Based on analysis and testing in this study, it is known that the results of the training data influence on accuracy ranging from the amount of training data as much as 21 to 210, the value of K = 5 and test data as much as 60 obtained the highest accuracy of 88.333% produced when the amount of training data used is 126. And the results of the analysis on the K values effect on accuracy ranging from K values of 3 to 91, 126 training data and 60 test data obtained the highest accuracy of 96.667% produced when the K values are 57 and 59.
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