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All Journal Journal of Environmental Engineering and Sustainable Technology JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Indonesian Journal of Electrical Engineering and Computer Science Community Empowerment Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI)
Indriati Indriati
Fakultas Ilmu Komputer, Universita Brawijaya, Malang, Indonesia
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences

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Seleksi Fitur Gain Ratio pada Analisis Sentimen Kebijakan Pemerintah Mengenai Pembelajaran Jarak Jauh dengan K-Nearest Neighbor Galuh Fadillah Grandis; Yuita Arum Sari; Indriati Indriati
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

The Ministry of Education and Culture (Kemendikbud) released Circular Number 15 of 2020 concerning Guidelines for Implementing Learning from Home in an Emergency for the Spread of COVID-19, which is known as Distance Learning (PJJ). This Circular was issued during the Covid-19 emergency to protect students' rights to receive educational services while simultaneously preventing the spread of Covid-19. Following the publication of this policy, numerous types of responses or opinions from the general public began to be expressed on social media, especially Twitter. This can take the shape of a good or negative opinion, thus a sentiment analysis is required to determine whether this policy has gotten a lot of favorable or negative feedback. Sentiment analysis is a method for determining the sentiments that present in each viewpoint. The K-Nearest Neighbor (KNN) classification approach is used for sentiment analysis, and it seeks to find the outcomes or values of the closest documents. In addition, the increase ratio will be used to remove irrelevant terms via feature selection. As a result, the gain ratio with the highest f-measure value, namely 0.74 at k = 11 with testing on the second fold and k = 90 with testing on the first fold, is used. In comparison to using the information gain, the outcome of employing the gain ratio for each fold has a steady f-measure value.
Penentuan Tata Letak Produk menggunakan Algoritma FP-Growth pada Toko ATK Muhammad Yudho Ardianto; Sigit Adinugroho; Indriati Indriati
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

Stationeries are one of the basic needs in a workspace such as the office and most predominantly in education such as schools. During the beginning of the school calendar, the stationery stores are usually overcrowded by buyers. However, in these times of pandemics people tend to save money by restricting themselves from buying things. As a result, sales tend to drop as fewer people are willing to spend money on goods. One of the ways to increase sales is to observe the buyer's transactions. All of the transaction data are usually kept as an archieve in the stores. On the other hand, the transaction data of the buyers have informations which can be extracted using data mining techniques, such as information about the association rule in the consumer purchases. By understanding the habitude of the consumers, stores are able to consider on the arrangement of their goods. The FP-Growth algorithm which is being used in the shopping cart system will be able to help in developing the marketing strategy as it would observe the associations between items. The FP-Growth algorithm has a sequence of data collection, frequency counter, transaction data rearrangement, tree formation, and frequent item search. From testing the minimum support of 5%, 8 association rules are produced on which 3 of them has a confidence rate above 5%. Subsequently, there are 34 association rules with lift values above 1. The higher of the minimum support and minimum confidence values, the fewer combinations of association rules will be generated.
Peringkasan Teks menggunakan metode Maximum Marginal Relevance terhadap Artikel Berita terkait COVID-19 Yudha Ananda Kresna; Imam Cholissodin; Indriati Indriati
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

At this time, people can easily search and get information or news, both news through television and news from online media. The number of facilities that support the public to read the news causes the number of newsreaders in Indonesia increase too. However, many news articles found that the number of words and the use of words are less effective so it would be a waste of time when reading the entire contents of the news. From these problems, it takes a system that is able to summarize the content of the news in order for the news content to become dense. To summarize the content of the news, in this study used a method that is Maximum Marginal Relevance to produce a summary. In the method required several stages including, preprocessing, weighting TF-IDF, weighting cosine similarity and maximum marginal relevance method itself. This study was conducted by taking 30 samples of news article data with the theme COVID-19 from the website of online news provider kompas.com. Obtained the following test results, the best value regulator coefficient is α=0.5 with precission result = 0.684333, recall = 0.772 and f-measure = 0.7. While based on the number of words, the number of words translated to 300 produces the best f-measure value with a value of 0.726923. As well as being tested systems with and without stemming and the result the system using stemming produces a better summary than the system without stemming.
Pengembangan Aplikasi Manajemen Kelayakan Panen Budidaya Ikan Lele berbasis Website (Studi Kasus : Budidaya Lele Bapak Andri) Yudha Prasetya Anza; Indriati Indriati; Randy Cahya Wihandika
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 raising of catfish is urgently needed in agriculture. But there are still many growing countries that still manage by hand by logging on the development books. Of course, such measures are less effective because the likelihood of errors taking considerable time to record. In the proliferation of catfish, there is also a process of harvesting for the purpose of making it easier for the farmers to determine the worthiness of the crop by the established fish criteria. Therefore, the author create a web-based application to tax the feasibility of the catfish breeding crop to help the farmers carry out the feasibility process of harvesting. In the production of this application the author observes and interviews first to the development of the project, followed by the process of analysis of needs, design and implementation and testing. After analysis of needs, functional needs are provided by 28 (twenty-eight). The initiated design phase of architecture design, data design, component design, interface design and implemented using PHP programming language, HTML, JavaScript. The testing phase be done with the whitebox approach and the blackbox approach. Test results show that all functions that have been tested are valuable.
Penentuan Tingkat Kepentingan Email dengan menggunakan Metode K-Nearest Neighbor (Studi Kasus PT Green Air Paciffic Surabaya) Ade Wahyu Muntizar; Bayu Rahayudi; Indriati Indriati
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

Email is one of the digital means of communication that has existed since the beginning of internet development and is currently being used popularly. Email is an important means of communication, including for PT Green Air Pacific Surabaya. PT Green Air Pacific Company is a private company engaged in logistics. Because it is engaged in logistics, most of its operations use email as a medium of communication and information. In a day messages received via email can reach 700 messages. Incoming email messages are also not all-important for company productivity, so the increasing number of incoming email messages can actually make it difficult to process company email messages. Based on these problems in this study, an email classification system was made based on its usefulness and importance where the method used was the K-Nearest Neighbor (KNN) classification method. The results of the email classification system based on its importance using the KNN method (a case study of PT Green Air Pacific) show that the highest F-Measure is located at k= 3 and k= 4, which is 98.734, and with the K-Fold Cross Validation data validation method, the F results are obtained.-The highest measure is 100%.
Pengembangan Sistem Informasi Pemantauan Pasien Isolasi Mandiri COVID-19 berbasis Website (Studi Kasus : Ponkesdes Jeru Turen) Alvin Naufal Wahid; Indriati Indriati; Achmad Arwan
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 is short for Corona Virus Disease 2019, the designation was coined by the WHO (World Health Organization). COVID-19 is a newly discovered virus that attacks the human immune system, so humans exposed to the virus can experience chronic illness and even death. The ferocity of this virus and its very rapid spread have caused a global pandemic that has not ended until now, including in Indonesia. Several measures have been taken to ward off the virus, including the discovery of a vaccine. However, it will still take a long time to completely stop the spread of the virus. The symptoms experienced by people with COVID-19 vary, ranging from severe to those without experiencing any symptoms. Patients with severe symptoms require intensive care in the hospital, while those with mild or no symptoms can self-isolate at home. The development of a Website-Based COVID-19 Self-Isolation Patient Monitoring Information System (Case Study: Jeru Turen Village Health Center) aims to facilitate monitoring of COVID-19 self-isolation patients to be more effective. This system was developed using the Waterfall method, and uses PHP, HTML, CSS, MySQL, and JavaScript technologies and uses the Laravel framework. This system has been tested using White Box Texting for unit and integration testing, and Black Box Testing for validation testing which produces 100% Passed results.
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.
Analisis Sentimen menggunakan Metode Naive Bayes Classifier terhadap Review Produk Perawatan Kulit Wajah menggunakan Seleksi Fitur N-gram dan Document Frequency Thresholding Sinta Kusuma Wardani; Yuita Arum Sari; 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

The influence of this growing culture and lifestyle makes people pay more attention to their appearance. One of the factors that affect appearance is the condition of a person's facial skin. Each product used by consumers has different reactions from one consumer to another, thus making many consumers review the products they use. Reviews given by consumers can be used to measure the quality of a beauty product. However, the large number of reviews given makes the review grouping unable to be done manually and sentiment analysis must be done to group the reviews into several categories. One of the algorithms for classifying sentiment analysis is using the Naive Bayes Classifier method which is a simple method that has faster performance in training data, is easy to implement, and has high effectiveness. In the classification process, feature selection will be used using the N-gram algorithm and DF-Thresholding to reduce the dimensions of the features in the data. The purpose of this study is to determine the effect of DF-Thresholding algorithm on the accuracy of the Naive Bayes Classifier algorithm using the N-gram. The result showed a reduction of 16.312 features to 43 features and the highest accuracy value for bigram and unigram combination, which is 49%, precision is 0,23, recall is 0,26 and f-measure is 0,24.
Analisis Sentimen Review Produk Kecantikan menggunakan Metode Naive Bayes Binti Najibah Agus Ratri; Yuita Arum Sari; 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

People are interested in buying and selling using e-commerce. In the place of buying and selling many products, one of which is beauty products. Many beauty products offer various advantages, with many products not being separated from reviews that assess a particular product regarding quality, advantages, disadvantages, and others. A review from a customer who has used the product can be used as a recommendation to choose the best product and as a determinant of product quality. Determination of product quality can be seen from various comments or reviews from customers to see whether the product is a best seller product or a less desirable product. Therefore, beauty product review data classification is carried out by labelling positive, negative, and neutral reviews. In this test using the Naive Bayes method with TF and TF Log weighting, TF weighting has a better accuracy value than TF Log weighting. TF weighting has an accuracy of 55% while TF Log weighting only has an accuracy of 52%. Meanwhile, to label the review using a kappa measure, in this test the kappa measure on each rater has the same value, namely 0.8.
Pengembangan Aplikasi Sistem Pemesanan Cuci Sepatu berbasis Mobile Android pada Garage Shoes Clean Anggara Priambodo Jhohansyah; Fajar Pradana; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 1 (2022): Januari 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Shoe laundromats or shoe washing services in Indonesia were only discussed in 2014. The shoe washing service business began to flourish and was widespread in almost all major cities in Indonesia. This business can be formed, because it cannot be separated from the consumptive nature of the community who are interested in shoes and sneakers. Business people see the enthusiasm of the community for their interest in caring for shoes, making business opportunities for business people to start 2 businesses in this field. Business people see the busy activities carried out by the community but most of them have minimal time to take care of the shoes they have, even though shoes are a mandatory requirement that is used when traveling, going to school, or working. Due to the increasing number of shoe washing service businesses in 2019, players in this field are competing to attract potential customers with new innovations that are continuously being developed. Thus, business people in this field must rack their brains to turn potential customers into consumers of the services they offer. By using an innovation in technology to increase sales. In this study, we will develop an android application for ordering shoe washing to help run this business. The method used in this research is using prototyping. This research begins with the requirements engineering stage which produces 32 functional requirements and 1 non-functional requirement. The implementation phase of this application uses Firebase as a database using the Java programming language. Finally, there is the testing phase with unit testing producing 3 functional values ​​tested valid, validation testing has succeeded in reaching 100% valid according to the expected result, and usability testing resulting in a usability score of a SUS score of 71.5. With this research, it is hoped that it can help in terms of shoe washing services at Garage Shoes Clean.
Co-Authors Abdul Azis Adjie Sumanjaya Abel Filemon Haganta Kaban Achmad Arwan Achmad Burhannudin Achmad Ridok Ade Wahyu Muntizar Adella Ayu Paramitha Adinugroho, Sigit Afif Musyayyidin Aghata Agung Dwi Kusuma Wibowo Agus Wahyu Widodo Ahmad Afif Supianto Ahmad Fauzan Rahman Ahmad Nur Royyan Aisyah Awalina Alaikal Fajri Nur Alfian Alfita Nuriza Alvin Naufal Wahid Anak Agung Bagus Arisetiawan Andhika Satria Pria Anugerah Andre Rino Prasetyo Anggara Priambodo Jhohansyah Anjelika Hutapea Annisa Selma Zakia Ardhimas Ilham Bagus Pranata Arief Andy Soebroto Arifin Kurniawan Arinda Ayu Puspitasari Arthur Julio Risa Ashshiddiqi Arya Perdana Avisena Abdillah Alwi Ayu Tifany Novarina Bagus Abdan Aziz Fahriansyah Bayu Rahayudi Benita Salsabila Berlian Bidari Ratna Sari B Beta Deniarrahman Hakim Billy Sabilal Binti Najibah Agus Ratri Binti Robiyatul Musanah Brian Andrianto Budi Darma Setiawan Candra Ardiansyah Candra Dewi Chandra Ayu Anindya Putri Choirul Anam Daneswara Jauhari Dea Zakia Nathania Deny Stevefanus Chandra Deri Hendra Binawan Desy Andriani Desy Wulandari Dewi Syafira Dhaifa Farah Zhafira Dhony Lastiko Widyastomo Diajeng Ninda Armianti Dian Eka Ratnawati Dina Dahniawati Dinda Adilfi Wirahmi Durrotul Fakhiroh Dwi Suci Ariska Yanti Dyah Ayu Wulandari Edo Ergi Prayogo Edy Santoso Eka Putri Nirwandani Enggar Septrinas Erma Rafliza Fajar Pradana Faradila Puspa Wardani Fardan Ainul Yaqiin Febriana Ranta Lidya Febrina Sarito Sinaga Fera Fanesya Ferdi Alvianda Feri Angga Saputra Firda Oktaviani Putri Firda Priatmayanti Firhad Rinaldi Saputra Fitra Abdurrachman Bachtiar Frans Agum Gumelar Galuh Fadillah Grandis Ghiffary Rizal Hamdhani Guedho Augnifico Mahardika Hilmy Khairi Idris I Made Budi Surya Darma Imam Cholissodin Indah Mutia Ayudita Indriya Dewi Onantya Inosensius Karelo Hesay Jeffrey Junior Tedjasulaksana Jeowandha Ria Wiyani Joda Pahlawan Romadhona Tanjung Junda Alfiah Zulqornain Katherine Ivana Ruslim Khaira Istiqara Khalisma Frinta Kornelius Putra Aditama Ksatria Bhuana Lailil Muflikhah Liana Shanty Wato Wele Keaan Liana Shinta Dewi Liana Shinta Dewi Linda Pratiwi Ludgerus Darell Perwara Lusiyana Adetia Isadi Luthfi Mahendra M. Aasya Aldin Islamy M. Ali Fauzi Mahdarani Dwi Laxmi Mahendra Okza Pradhana Mardji Mardji Marinda Ika Dewi Sakariana Marji Marji Mentari Adiza Putri Nasution Merry Gricelya Nababan Moch Bima Prakoso Mochamad Havid Albar Purnomo Mohamad Alfi Fauzan Mohammad Birky Auliya Akbar Mohammad Fahmi Ilmi Mohammad Imron Maulana Muhammad Abdurasyid Muhammad Fauzan Ziqroh Muhammad Hakiem Muhammad Mauludin Rohman Muhammad Reza Ravi Muhammad Tanzil Furqon Muhammad Yudho Ardianto Nadya Oktavia Rahardiani Nana Nofiana Nanda Ajeng Kartini Nanda Cahyo Wirawan Ni Made Gita Dwi Purnamasari Ni Made Gita Dwi Purnamasari Nihru Nafi' Dzikrulloh Nirmala Fa'izah Saraswati Novanto Yudistira Novia Agusvina Nur Intan Savitri Bromastuty Nurdifa Febrianti Nurina Savanti Widya Gotami Nurudin Santoso Nurul Hidayat Nurul Muslimah Pengkuh Aditya Prana Prais Sarah Kayaningtias Pratitha Vidya Sakta Puteri Aulia Indrasti Putra Pandu Adikara Putri Rahma Iriani Putu Amelia Vennanda Widyaswari Putu Rama Bena Putra Rachmad Ridlo Baihaqi Rahma Chairunnisa Rahmat Arbi Wicaksono Rakhman Halim Satrio Randy Cahya Wihandika Ratih Karika Dewi Ratna Tri Utami Rekyan Regasari Mardi Putri, Rekyan Regasari Mardi Rien Difitria Rifki Akbar Siregar Rilinka Rilinka Riska Dewi Nurfarida Riski Nova Saputra Riyant Fajar Riza Cahyani Rizal Aditya Nugroho Rizal Setya Perdana Rizaldy Aditya Nugraha Rizky Haqmanullah Pambudi Rizky Nur Ariyanti Sabrina Hanifah Salsabila Rahma Yustihan Sigit Adinugroho Sinta Kusuma Wardani Siti Robbana Sutrisno Sutrisno Swandy Raja Manaek Pakpahan Tania Malik Iryana Tania Oka Sianturi Tasya Agiyola Thio Marta Elisa Yuridis Butar Butar Titus Christian Vera Rusmalawati Wayan Firdaus Mahmudy Yane Marita Febrianti Yobel Leonardo Tampubolon Yudha Ananda Kresna Yudha Irwan Syahputra Yudha Prasetya Anza Yuita Arum Sari Yulia Kurniawati Zahra Swastika Putri