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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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Implementasi Wireless Sensor Network untuk Monitoring Kesuburan Lahan Pertanian Padi menggunakan Modul Wifi ESP8266 Krisna Wahyu Aji Kusuma; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Indonesian is a country where a third of its population works from the agricultural sector, especially rice fields. Most farmers expect maximum yields without knowing the soil fertility with the factors that support this fertility. Factors such as soil pH, soil moisture, soil temperature and various other factors. Especially the factors can also change at any time that could interfere with the process of plant growth if farmers do not pay attention to these changes. With the developing technology, we can make it easier to monitor soil pH, soil moisture and soil temperature using the YL-69, DS18B20 and soil pH meter sensors. The data taken by the three sensors will be accommodated in the sensor node and then sent to the gateway via the websocket and forwarded to firebase and then displayed to the web interface. Testing is done using quality of service to determine the performance of the network performance from delivery speed, packet lost during delivery, and time interval of each delivery. Then the performance test results obtained, namely the throughput of H-1 to H-3 is 12.11 bps, 10.88 bps, and 16.13 bps. Packet loss from H-1 to H-3 is 0.4%, 0.3%, and 0.2%. The delay from H-1 to H-3 is 0.12 s, 0.09 s, and 0.09 s. The tool's function test works successfully with data taken from the three sensors that can be displayed on the web interface.
Sistem Monitoring Kebocoran Gas Berbahaya di Lingkungan Kawasan Industri berbasis Bluetooth Low Energy (BLE) Bambang Gunadi; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Some factories have been using gas as a source of combustion fuel for production purposes, resulting in emissions from the combustion process. Most of the gas used for the fuel source consists of methane gas or CH4. Meanwhile, emissions from the combustion system are in the form of carbon monoxide gas or CO. One of the technologies in the industrial sector that can observe gas leaks and air quality in industrial areas is the Wireless Sensor Network technology. Wireless Sensor Networks are a set of nodes that are arranged in a wireless network to monitor the surrounding environment and able to communicate with each other through protocols, one of which is Bluetooth Low Energy. Compare to the other protocols, there are some advantages that Bluetooth Low Energy has such as better power savings, being able to send data quickly, easy configuration, and a wide coverage. Therefore, the researcher decided to conduct a research by applying Bluetooth Low Energy in real life, by observing temperature, humidity, CH4 gas and CO gas levels. Through Bluetooth Low Energy, Raspberry Pi is able to send observations to the clients. In this study, two scenarios are used to test the delivery performance of Bluetooth Low Energy. The scenarios are changes in distance without obstacles and changes in distance with obstacles. The test results showed that the change in distance without obstacles and with obstacles had an average total delay of 0.0752 ms and 0.1587 ms.
Implementasi Metode Modified K - Nearest Neighbor (MK-NN) Untuk Klasifikasi Cedera Pada Pemain Futsal Putut Abrianto; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 4 (2021): April 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

One of the sport that is often played by the general public is futsal where is the futsal follows the basics of football, but the difference with football is that futsal is played by a few people and is played on a relatively smaller place or field. In every futsal game, of course there must be a player who suffered an injury. Slippery and uneven field conditions are the factors that affect futsal players that can easily fall and subsequently suffer injuries during futsal games. The existence of a system that can classify the types of injuries suffered by futsal players will greatly help solve this problem. Utilizing the modified k - nearest neighbor method implemented using Java language, a maximum accuracy of 97% is obtained from different K values.
Implementasi Wireless Sensor Network untuk Monitoring Limbah Cair Gondorukem Menggunakan Modul Wifi Esp8266 Risqi Nur Ifansyah; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Indonesia is a country that is rich in natural resources, there are many pine trees that produce sap. Pine tree sap has many uses in the cosmetic, antiseptic and pharmaceutical industries. But pine sap produces a waste effect. There are still many things that need to be improved on the processing of gondorukem for wastewater treatment. Especially in the disposal section, it is not possible to predict a good standard of liquid waste disposal. The standard for wastewater disposal has several parameters such as pH, temperature and turbidity of the waste. With IoT technology, it makes it easier for us to reduce the pH, temperature and turbidity of the waste by using a pH meter water sensor, DS18B20 and Turbidity. The data of the three sensors are collected to the sensor node, then sent to the gateway via a websocket, then forwarded to firebase which will be displayed on the web interface. Testing uses Quality of Service, to determine a network speed performance when sending, which is useful for knowing the time of each delivery and packets lost during delivery. The water meter's pH sensor function, DS18B20 and Turbidity, worked well during research. Then obtained from the test results based on the throughput h-1 to h-4 testing is 17.01 bps, 20.89 bps, 19.83 bps and 18.86 bps. For packet loss h-1 to h-4, namely 0.1%, 0%, 0% and 0.%. Then the delay h-1 to h-4 is 0.08 s, 0.07 s, 0.07 s, and 0.07 s.
Implementasi Metode Support Vector Machine Dengan Query Expansion Pada Klasifikasi Review Di Situs Traveloka Meutya Choirunnisa; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 5 (2021): Mei 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Choosing a tourist destination when you want to go on vacation is a must for people so that they don't choose a tourist location wrong and so they don't get disappointed when they have visited a tour. A review is needed in this case, because with the review the public can find out the comments given by previous visitors. The comments given are not only in the form of praise, but sometimes there are visitors who feel disappointed so that they give bad comments too. The number of comments that sometimes makes people difficult and takes a long time to find out all the advantages and disadvantages of a tourist destination. To overcome this problem, a classification of tourism reviews is carried out using the SVM and QE methods. In this study, 200 data comments were used which were divided into positive and negative. The method used in this research is the Support Vector Machine method with a linear kernel with Query Expansion. QE in this case has the utility to expand the words that are in the test data that have synonyms for words that are not found in the training data. The results of the test produce an average accuracy value of 87.50% with the parameter value of learning rate = 10 and complexity value = 20. Based on the test results, the accuracy of using the SVM method with QE is 87.50% and accuracy using the SVM method without QE of 77.50%.
Optimasi Penjadwalan Kegiatan Belajar Mengajar Pada Pondok Pesantren Menggunakan Algoritme Genetika (Studi Kasus : Pondok Pesantren Yayasan Bani Syihab Nasrulloh) Yamlikho Karma; Nurul Hidayat; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The manual scheduling process is considered inefficient because it takes a long time. If the number of components increases or the amount of data per component increases, scheduling problems will be more complex.. The expected result of the schedule is not only a schedule that does not clash with teacher meeting, but a schedule that can be adjusted according to several conditions that must be fulfilled in the schedule. A genetic algorithm is an iterative, adaptive and probabilistic algorithm for global optimization.. The chromosome initialization process is generated from the teacher's assignment data with an integer number representation, where each gene contains a randomly generated assignment code. Each chromosome with the highest fitness value represents the solution of the course schedule. From the testing process, it was found that the best population number is 100, the combined numbers of Cr and Mr are 0,5 and 0,5, and the generation number is 1000. These parameters are used for the process of finding a solution so that the fitness number is 0,9985.
Prediksi Nilai Ekspor Impor Migas Dan Non-Migas Indonesia Menggunakan Extreme Learning Machine (ELM) Dhatu Kertayuga; Edy Santoso; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 6 (2021): Juni 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Indonesia's resource wealth is one of the important assets for a developing country. To advance the wheels of the Indonesian economy, trade activities between countries are carried out, namely exports and imports. Resources exported and imported by Indonesia are oil and gas and non-oil and gas resources. Although Indonesia is capable of producing its own oil and gas and non-oil and gas products, Indonesia's imports of oil and gas and non-oil and gas are still higher than Indonesia's total exports of oil and gas and non-oil and gas. To assist Indonesia's economic development strategy, a prediction is needed to estimate the value of Indonesia's oil and gas and non-oil and gas exports and imports. In this study, the algorithm used is Extreme Learning Machine (ELM). Then, the data used are oil and gas and non-oil and gas export data as well as oil and gas and non-oil and gas import data obtained from the Badan Pusat Statistik (BPS) from January 1993 to December 2020. The results obtained from this study are export data with the average mean absolute percentage error (MAPE) value of 6.6742% for the comparison of the number of training : testing, the number of data features, and the number of hidden neurons the best is 70%:30%, 5, and 8. While for import datasets, the comparison of the number of training : testing, the number of data features, and the number of hidden neurons is the best 80%:20%, 4, and 10 with a final MAPE average of 10.0515%.
Implementasi Metode Modified K-Nearest Neighbor (MK-NN) untuk Diagnosis Penyakit Tanaman Kentang Muhammad Regian Siregar; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 8 (2021): Agustus 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Modified K-Nearest Neighbor (MK-NN) has been widely used to classify various types of objects. In carrying out the classification, MK-NN calculates the distance k closest neighbors in the training data. The difference between K-Nearest Neighbor (K-NN) and M-KNN is found in the process of calculating the validity of all training data and weight voting. The MK-NN algorithm calculation stage is calculating the distance between training data, calculating the value of the training data validity, calculating the distance between the training data and test data, and calculating weight voting. The biggest weight voting results taken are the number of K used. From the weighted voting results, the class of the largest weight voting value is the disease class from the test data. Potato plant data (Solanum tuberosum L) were used as many as 115 training data and test data with 7 types of diseases and 23 disease symptoms. The accuracy of this system depends on the k value and the total training data used. Big value of K make small the accuracy because the validity value obtained is smaller. The more training data used, the higher the accuracy because the difference between Euclidian grades between classes is greater. The best system accuracy is obtained from the value of k = 4 and total training data of 45 is 97.142857%.
Implementasi Metode K-Nearest Neighbor untuk Penentuan Lokasi Flight Information Display System Dayu Aprellia Dwi Putri; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 9 (2021): September 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The purpose of this study was to determine the location of the FIDS at Soekarno-Hatta International Airport in Jakarta using data from the FIDS equipment list. Non-implementatif analytical research methods are carried out by classifying data from the FIDS equipment list using the K-Nearest Neighbor method by dividing the data into training data and test data. The benefit of the research is to find out the results of the implementation using data from the FIDS equipment list and the results of the evaluation seen from the level of accuracy obtained so that it can determine the feasibility of using the K-Nearest Neighbor method to determine the location of FIDS. In this study it was found that the results of the implementation of the K-Nearest Neighbor method using IP Address and Terminal data as calculation data and Location data as target data can be applied properly in determining the location of FIDS because the resulting accuracy rate reaches 96,154% with the optimal K value for used in the system is 1.
Implementasi Load Balancing pada Cloud Computing dengan Algoritme Improved Weighted Least Connection Muhammad Denny Chrisna Pujangga; Nurul Hidayat; Fariz Andri Bakhtiar
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

Load balancing is a workload distribution mechanism that is widely used in distributed systems. One of the most widely used load balancing algorithms is the Weighted Least Connection Algorithm. The Weighted Least Connection algorithm has a problem that when a new server is added to the server cluster system when there are many user requests, the Weighted Least Connection algorithm will distribute the workload intensively to the new server, causing an uneven distribution of server workloads. To overcome this problem, the Weighted Least Connection algorithm was developed by combining two algorithms, the Server Selection algorithm and the Overload Reduce algorithm into one algorithm, namely the Improved Weighted Least Connection algorithm. This study applies the Improved Weighted Least Connection algorithm on the cloud architecture using the CloudSim Plus simulator. The results of this study indicate that the distribution of the Weighted Least Connection algorithm task is more even than the Improved Weighted Least Connection algorithm on heavier workloads. Meanwhile, for the difference in the distribution of tasks to VM 3, there is not much difference between the Weighted Least Connection algorithm and the Improved Weighted Least Connection algorithm, with an average of 4.81 tasks per 10 seconds and an average of 28.3% cpu usage for the algorithm. Weighted Least Connection, and an average of 4.75 tasks per 10 seconds and an average of 28.02% cpu usage for the Improved Weighted Least Connection algorithm.
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