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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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Klasifikasi Review Produk Kecantikan Pada Aplikasi Sociolla Menggunakan Algoritme Modified K-Nearest Neighbor (MK-NN) dengan Pembobotan BM25 Alfita Nuriza; Indriati Indriati; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Beauty products have become one of the many things that cannot be separated from women because of the demands to look beautiful and attractive. These products offer their advantages, there are many beauty products on the market, ranging from skin care and cosmetics from various types and brands. These products have advantages, but not all products suitable for the users needs. This is something that consumers must pay attention to before buying. Other than that, the number of beauty products that are closely related to opinions about certain products in accordance with the parameters given by consumers such as strengths, weaknesses, quality and other parameters, this is what is used as a reference. One electronic trading platform that provides beauty products is Sociolla. Not only sell beauty products, on this platform there are also reviews from consumers. Reading all these reviews in full will take up a lot of time, whereas if you only read a little, the resulting evaluation will be biased. To overcome these problems the classification of the existing review will be classified into 2 classes, namely positive and negative classes. In this study the authors used the Modified K-Nearest Neighbor (MK-NN) algorithm with BM25 as a weighting. The data used were 500 data which were divided into two, positive and negative. From the evaluation results of the test with 5-fold cross validation, the highest average values ​​of accuracy, precision, recall, and f-measure were 51.00%, 50.90%, 52.61%, and 51.70% at the time k = 11.
Implementasi Metode Fuzzy Tsukamoto Untuk Deteksi Dini Tingkat Depresi Mahasiswa Yang Sedang Menempuh Skripsi (Studi Kasus: Fakultas Ilmu Komputer Universitas Brawijaya) Priscillia Pravina Putri Sugihartono; Nurul Hidayat; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Mental health is a state of the psychological and emotional condition of an individual that is functioning well. An individual is considered mentally healthy if this individual can perform well at coping stress and anxiety, adjusting or having a good and stable emotional state, and do activities and functions productively. When an individual acts otherwise, this individual is likely to have a mental illness. Mental illness is also considered as an invisible illness which causes many people aren't aware of their own mental health condition. One of the mental illnesses that many people are suffering from is depression. This paper is aimed to learn about depression severities on the Faculty of Computer Science students who are currently conducting their theses by utilizing a machine-learning method. University Students Depression Inventory (USDI) is utilized to examine depression severity based on the three correlated factors which are motivation factor, academic factor, and lethargy factor. The machine-learning algorithm that was used in this research is Fuzzy Tsukamoto. A total of 65 student cases were examined and it resulted the accuracy of 76,92%.
Implemetasi Metode Fuzzy AHP (Analitycal Hierarchy Process) - COPRAS (Complex Proportional Assessment) untuk Rekomendasi Penentuan Kelompok Tani Terbaik (Studi Kasus : Dinas Pertanian Kabupaten Bangkalan) Rachmad Faqih Santoso; Nurul Hidayat; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Agricultural development can be done by forming an institution that functions as a forum for information and learning about agriculture to farmers, one of which is by forming farmer groups. But there are some farmer groups that are often abused. This condition has an impact on the development of farmer groups that tend to decline from year to year. Efforts to foster and empower these farmer groups must also be adjusted to technological progress and demands on the application of agricultural development programs. Therefore in this study the method used is the Implementation of the Fuzzy AHP (Analitycal Hierarchy Process) - COPRAS (Complex Proportional Assessment) Method. The Fuzzy AHP method is considered more accurate in weighting criteria than the AHP method. And the COPRAS method is more accurate in calculating alternative ranking because the evaluation of maximum and minimum criteria is done separately. Based on the results of the implementation of the AHP (Analitycal Hierarchy Process) - Copras (Complex Proportional Assessment) method for the recommendation to determine the best farmer group, it has an accuracy rate of 68% (using 25 data) and 48% (using 50 data). And having the same interpretation coefficient of correlation has a close to perfect relationship (ρ> 0.9). This shows that this method is able to help and make decisions.
Studi Komparasi Kinerja dari Adaptive Routing Protocol OSPFv3, RIPng, EIGRP IPv6, dan IS-IS pada Jaringan IPv6 Reynaldi Firman Tersianto; Nurul Hidayat; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Routers on both IPv4 and IPv6 networks require routing protocols, so that routers can search for the best route used to transmit data packets from the transmitting node to the receiving node. Based on the characteristics, routing protocols are classified into adaptive / dynamic routing and static routing. Adaptive routing is a routing protocol that chooses routes for transmitting data packets based on conditions on the network. Because each adaptive routing protocol has different algorithms in determining the best route, it is necessary to compare the performance of the adaptive routing protocol in order to obtain the best performance of the adaptive routing protocol. This research was conducted to compare the best performance of the adaptive routing protocol OSPFv3, RIPng, EIGRP IPv6, and IS-IS IPv6 by using the Graphical Network Simulator-3 (GNS3) network emulator. The configuration of the adaptive routing protocol is implemented in a mesh network topology. ICMP ping packet command is used in this research because the number of packets that failed and successfully sent and the average value of round-trip time (RTT) can be known. This is needed because the best adaptive routing protocol performance is one that has a smaller amount of packet loss and faster convergence time and an average RTT. The results of this research indicate that OSPFv3 and IS-IS IPv6 have the best performance based on the amount of packet loss smaller and faster convergence time. Based on the faster average RTT, IS-IS IPv6 has the best performance compared to other adaptive routing protocols.
Implementasi Wireless Sensor Network Untuk Mendeteksi Gas Amonia Pada Kandang Ayam Menggunakan Modul Wifi ESP8266 Mahdi Fiqia Hafis; Nurul Hidayat; Arief Andy Soebroto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 11 (2020): November 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

We as Indonesian citizens feel proud of the high potential they have, especially in the field of animal husbandry and agriculture. With the existence of chicken farming, there are not a few who become new job creators and become independent in their work. The problem that is often experienced by chicken farmers is ammonia gas caused by chicken manure itself, this ammonia gas can later cause disruption in humans and also the chicken itself. Disorders in humans include respiratory problems, eye irritation, and poisoning in the form of seizures. The existence of internet of thing technology, can facilitate us in monitoring ammonia gas levels in the area of ​​chicken farms presented in the form of ppm by utilizing the mq-135 sensor that can detect ammonia gas levels. Data that has been taken by the client will be accommodated by the master and will be displayed on a web page with the help of a gateway to determine the level of ammonia gas in the area of ​​the chicken farm. The results of the study began with testing the quality of service to determine the performance of the network connection time for sending data to the server. And testing the function of a successful tool works perfectly where the mq-135 sensor can detect levels of dangerous gas ammonia (NH3).
Implementasi Metode K-Nearest Neighbor Untuk Mendiagnosis Penyakit Tanaman Bawang Merah Muhammad Kurniawan Khamdani; Nurul Hidayat; Ratih Kartika Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Onion is a spices plant which have a usage as cooking seasoning flavour. The use benefit of red onion other than a cooking seasoning flavour is also as the source of Vitamin B and C, protein, fat and carbohydrate which is needed by human body. Badan Pusat Statistik (BPS) takes a note on the red onion production of 8.305 ton in 2013 that decreasing as much 5.851 ton (41.33%) from last year. The low productivity of red onion is caused by the implementation of cultivation technology. With the development of increasingly sophisticated technology, the existence of software that can help to diagnose pests and diseases will greatly help farmers to diagnose early and make early treatment of pests and diseases of red onion plants. One method that can be used to diagnose pests and diseases in red onion plants is k-nearest neighbor. k-nearest neighbor (kNN) is belong to instance-based learning group. This algorithm is also one of the lazy learning techniques. kNN is done by looking for group of k object in the closest or similar training data with objects on new data or testing data. in this study the k-nearest neighbor method is used to diagnose onion plants with an average accuracy of 85.835%.
Implementasi Algoritme BLAKE2B Pada JSON Web Token Untuk Mekanisme Autentikasi Query Language Isnaini Isnaini; Reza Andria Siregar; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

GraphQL is a web-based client-server communication architecture for data communication using the HTTP protocol. GraphQL is divided into three parts, namely schema, query and resolver. In schema, there were two parts namely the query that functions to retrieve data and the mutation functions as updating data. The query had a function to display data from the server. Resolver here had a function as a connector between the schema function with the existing data. On the GraphQL, the HTTP protocol communication process ran without any authentication mechanism. The authentication mechanism worked so that the user account could access his own resources. JWT which was a token-based authentication mechanism was chosen to overcome the lack of authentication features in graphQL architecture. The HS256 algorithm was one of the algorithms implemented in JWT as a hashing algorithm. The HS256 algorithm belongs to the HMAC-SHA256 algorithm that used the message authentication code (MAC), so it was also called as HMAC-SHA256. In 2011 there were pre-image attack, so that they became threatened the security of the SHA256 algorithm in the following years. The BLAKE2B algorithm was an algorithm derived from the BLAKE algorithm as a hashing algorithm that used message authentication code (MAC). The security level of the BLAKE2B algorithm was better than the HS256 algorithm. This research implemented the BLAKE2B algorithm on JSON Web Token for query language authentication mechanisms and as an alternative to the HMAC-SHA256 algorithm. Several methods were functional system to test the suitability of the system and in accordance with the objectives, the vector-test examination was conducted to determine the suitability of the results between the algorithm implemented with the provisions contained in the RFC document, and time-authentication test was carried out to determine how long it took for the BLAKE2B algorithm to produce a message digest and it was obtained that BLAKE2B algorithm was 96% faster than HMAC-SHA256
Implementasi Metode Agglomerative Hierarchical Clustering Pada Segmentasi Pelanggan Barbershop (Studi Kasus : RichDjoe Barbershop Malang) Rhayhana Putri Justitia; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Strategy is one of many thing that influence the success of a person in running a business. Implementing the right strategy is crucial so that the business runs as desired. One of the strategies that can be applied is Customer Relationship Management (CRM), namely by regulating segmentation and how to treat consumers. In conducting analysis, business actors must carefully consider each consumer with their respective habits when conducting transactions to be grouped into certain segments. It is not uncommon for consumers to be in a segment that does not match their characteristics due to errors in the analysis because it is done manually. Therefore, this study will apply the Agglomerative Hierarchical Clustering method to Barbershop customers in segmenting. In this study, using 489 customer data from RichDjoe Barbershops Malang which were taken from May to October 2020 in the form of the latest arrival date of each customer marked with an ID number, the number of arrivals of each ID during a certain period of time, how much money was spent by each customer, and the accumulation distance from the oldest to the most recent date each ID number. The Agglomerative Hierarchical Clustering method is known to have a good ability in grouping data by making a hierarchy gradually from data in the form of singleton / individual until all data are grouped. The distance measurement method uses Manhattan Distance with the distance parameters used are Single Linkage, Complete Linkage and Average Linkage. This study uses the Silhouette Coefficient in evaluating the test and produces the highest results from 489 data at the 391 cut point, with an average silhoette coefficient value of 0.968850698 on the single linkage parameter and the average linkage resulting in 8 clusters and silhouette coefficient for each data resulting in 376 of 399 the right data are in the group and the silhouette coeffcient of each cluster formed shows that 6 out of 8 clusters are formed correctly.
Prediksi Inflasi menggunakan Indeks Harga Konsumen Kota Malang dengan Metode Extreme Learning Machine Muhamad Altof; Nurul Hidayat; Marji Marji
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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Countries that experience a decrease in the value of their currency are often said to be inflation, where when inflation occurs the prices of goods and services will increase, if this situation is not anticipated by policy makers and the public it will have a negative impact on daily life, with these problems the prediction system will be very help to measure the rate of inflation, an indicator called the Consumer Price Index is needed, this will calculate the mean value of the price of goods used by the public, within a certain time, to overcome this problem, a system that can predict the rate of inflation quickly and accurately is needed. The ELM method is included in the Artificial Neural Network, ELM is divided into a training and testing process, then an evaluation of the error rate is carried out using the Mean Absolute Percentage Error method, after being tested 10 times using the parameter number of features as many as 4, 6 neurons, comparison With 60% training data, 40% testing, the lowest error rate is 1.54%, which means that the ELM method has high speed and accuracy.
Implementasi Deteksi Hujan dan Banjir Secara Real Time Monitoring berbasis MQTT Over Websocket Menggunakan Modul ESP32 Muhammad Rouzikin Annur; 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

Indonesia is a country traversed by the equator, which means that rainfall in Indonesia is quite high. Rainfall in several areas, one of which is in the city of Malang, is one of the areas that has high rainfall. The uneven road conditions in Malang City make part of the road flooded with water when it rains and some roads that are not flooded are inundated, therefore the authors make a tool that can provide information on the latest conditions on roads prone to rain and floods with standing water by installing a detection tool in the form of a sensor that is connected to the internet so that it can be accessed by the general public. The way this tool works is by detecting rain and water levels on the highway, precisely on roads where floods often occur during heavy rain, then the detection data is sent to the internet so that it can be accessed by users or the general public. The results of this study are expected to be able to help users or the general public find alternative roads when there is rain or a flood of standing water on the highway.
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