Jurnal Teknik Informatika dan Sistem Informasi
Not a member yet
499 research outputs found
Sort by
Perancangan Sistem Informasi Inventaris Barang Berbasis Web
Get PDFInformation technology is rapidly developing and applied in any field of interest. It can be used as simple to the complex computation. It can also use greatly assisting human performance in managing inventory items. This paper discusses a website-based item inventory system applied in a very remote village in Desa Kusik Batu, West Kalimantan. The research goal is to facilitate the performance of village officials in managing data items, where overall data input is still done manually. The method of this research is using interviews, documentation, and literature studies. The implementation of the system resulted from this research is the following features: user data, all goods data having by the village, incoming goods data, outgoing goods data, avoid physical calculations, asset mutation reports, and goods reports, as well as making goods inventory reports can be easily done. With the existence of a web-based inventory information system website, at the village office of Kusik Batu Lapu, West Kalimantan, can improve the performance of village officials to manage goods data
Rancang Bangun Sistem Informasi Arsip Surat Menggunakan Metode Prototype
Get PDFLetters archiving is the process of receiving, collecting, maintaining letters in a structured manner by an agency, however, the process of filing letters at the Unit Pelaksana Teknis Daerah (UPTD) Satuan Pendidikan Non Formal (SPNF) Sanggar Kegiatan Belajar (SKB) Salatiga still has problems such as recording letter archive data that still uses a letter agenda book which sometimes occurs errors in recording, archival document storage which is physically stored on a mailing cabinet which is prone to being lost, scattered, or damaged and the large number of existing documents causes employees to need extra time and effort to look for them. With the Letter Archive Information System designed using the prototype method, it allows employees to take part in the design of this system by providing opinions and suggestions on system design so that the results will be more optimal, maximum and can be a solution to the problems that exist in the Unit Pelaksana Teknis Daerah (UPTD) Satuan Pendidikan Non Formal (SPNF) Sanggar Kegiatan Belajar (SKB) Salatiga
Penerapan Metode Simple Multi Attribute Rating Technique Pada Pemberian Bonus Tahunan Karyawan
Get PDFEmployees are one of the most important aspects of a company. Quality employees will improve the quality of the company. To encourage employees to give their best to the company, companies can give bonuses to their employees. PT Budi Gema Gempita (BGG) is one of the companies that provides annual bonuses to its employees. In determining which employees will receive bonuses, PT Budi Gema Gempita (BGG) still uses paper to make an assessment. a decission support system is needed which can help Budi Gema Gempita (BGG), especially Human Resource Development (HRD) and division heads in the process of giving bonuses. The Simple Multi Attribute Rating Technique (SMART) method will be used because of its simplicity at responding to the needs of decision makers and how it responds. SMART is a multi-criteria decision method and a linear additive model to predict the value of each option. The use of SMART method is expected to provide the best recomendations for leaders to provide bonuses to employee
Penerapan Metode Profile Matching untuk Pendukung Keputusan Pemilihan Manajer Information Technology
Get PDFThe selection of an IT manager in a company has an important role in a decision, because a manager occupies a managerial level position who will make decisions later. The current process of selecting IT managers is still being carried out conventionally, resulting in several problems. Among them, the assessment is carried out manually so that the calculation process can occur errors and take longer, then which alternative is the best according to the recommendation of the decision support system (DSS) application. To overcome some of these problems, a DSS was designed which resulted in more precise and effective decisions. The method used is the Profile Matching method which is used to determine alternative rankings, where the criteria and weight values ??have been determined and are contained in the assessment document. This research produces a web-based DSS application that helps decision making in selecting IT managers. This DSS application will simplify the calculation of the assessment thereby reducing calculation errors. The end result of implementing DSS for the selection of IT managers is that the selection process becomes more precise, effective and objectiv
Penentuan Aspek yang Berpengaruh Terhadap Produk Smartphone Berdasarkan Ulasan Berbasis Tekstual
Get PDFWith the rapid development of new technologies in smartphones, understanding market trends has become an increasingly difficult task. In these circumstances, online product reviews that can reflect consumer sentiment about the product has been a concern for now. Online review analysis can help sellers understand consumer interests and desires prior to launching a new product. The author wants to contribute to seeing the state of the smartphone market by creating a method to find important aspects of a smartphone. The data source comes from the Amazon e-commerce web with 4 predefined smartphone brands. In this study, the authors used topic modeling with the LDA algorithm and sentiment analysis with VADER to find aspects of a smartphone and its sentiment classification. From the 15 scenarios made in this reserach, it is found 3 aspects that always appear, namely the screen, camera, and battery aspects, so it is concluded that these 3 aspects are the most important of a smartphone based on textual reviews.
Keywordsโ Topic Modeling; Sentiment Analysis; LDA; ecommerc
Penerapan dan Analisis Digital Marketing pada Produk Fashion
Get PDFIn the current digital era, digital marketing is a marketing strategy using digital media to reach customers quickly and widely. About She is a fashion brand located in Bandung that tries to do digital marketing to promote fashion products through social media and websites. We can see website performance with Google Analytics, as well as social media analysis through Instagram Insight and Facebook Insight
Pengenalan Jenis Kayu Berdasarkan Citra Makroskopik Menggunakan Metode Convolutional Neural Network
Get PDFUntil now, wood has an irreplaceable function. Building materials, shipping, furniture, sports equipment, carvings and handicrafts using wood. Indonesia has more than 4,000 types of wood, so choosing the right wood is a challenge because choosing the wrong type of wood can make the quality of processed products decline and not as expected. In addition, proper identification of timber can also prevent illegal logging, especially on certain types of wood which are now increasingly scarce. Recognition to wood by looking directly is a difficult thing for ordinary people to do and can only be done by a wood expert, so it is necessary to find a method of recognizing wood that can be used by people independently. One method that can be used to identify type of wood is image processing based on characteristics of wood which include color, fiber direction and texture. This paper will describe recognition of wood-based image processing using Convolutional Neural Network (CNN) method. This method is derived from Neural Networks with addition of an extraction layer feature, which can reduce free parameters that are not needed by the system. Wood image data used in this study are four types of wood that are often used as raw materials for making houses and furniture, namely Glugu, Teak, Sengon and Waru. Results of this study were able to recognize four types of wood with an accuracy of 95% in 600 epochs/iteration, so that it can be used as a simple, easy and inexpensive wood recognition system
Analisis Klasifikasi Sentimen Terhadap Sekolah Daring pada Twitter Menggunakan Supervised Machine Learning
Get PDFCovid-19 pandemic urges countries to limit interaction of their people to reduce transmission. Indonesia requires people to do activities at home, one of which is online school. Many people share their thoughts through social media Twitter. Therefore, authors conducted sentiment analysis using supervised machine learning algorithm to determine distribution of words used in commenting on online schools, relationship between sentence, length and sentiment, and best algorithms that can be used to get most accurate results. In this study, authors used the method of crawling with RapidMiner to get data from Twitter. Then authors do data cleansing, data processing with classification methods using Random Forest Classifier , Logistic Regression , BernoulliNB and SVC algorithm. After that authors evaluate using confusion matrix, accuracy rate and classification report. In this research, authors found there are positive, negative, and neutral sentiments expressed on the online school implementation through comments. Authors ranked top three most used words used to express positive sentiments which includes bahagia, rajin and senang. On negative sentiments, top three words are capek, muak and bosen. On neutral sentiments, top three words are tidur, capek, and buka. Lengthy Tweets are usually imbued with negative remarks. On the other hand, the tweet tends to be positive and neutral tweet is usually stable. Authors conclude that the weakness of online school is the amount of workload that makes students tired alongside ineffective teaching method which makes it hard for students to understand the material given by school. However, on the positive side, some people agree with policies that are implemented and they feel like they gained some benefits from the implementation. From the four supervised machine learning algorithms that have been tested, Logistic Regression shows the highest accuracy, 0,87. The analysis shows that society tends to be neutral to the implementation of online school
Analisis Penerapan Code Splitting Library React pada Aplikasi Penjualan Mebel Berbasis Website
Get PDFMebel Murah is a shop that sells furniture products located in Semarang, Central Java, Indonesia. Due to Covid-19, the sales revenue have decreased due to limited access for buyers. Therefore, an innovation is needed to overcome this, namely by creating a website that can support especially the marketing and sales of furniture products to the public. The aims of this research is to focus on testing the rendering speed of components through the React Profiler to analyze the comparison of component rendering times on the client side of the code breaking features of the React library. The result of this research is to produce a website by utilizing the code splitting feature to display information content related to products sold by Mebel Murah stores
Exploratory Data Analysis terhadap Kepadatan Penumpang Kereta Rel Listrik
Get PDFThe existence of the Kereta Rel Listrik Commuter Line as the backbone of transportation in the Jakarta - Bogor - Depok - Tangerang - Bekasi - Banten area has a very important role for commuter mobility around Daerah Khusus Ibukota Jakarta. With an average number of 1.1 million passengers per day, Kereta Rel Listrik is one of the factors supporting Indonesia's economy and growth in various sectors. On the other hand, the Covid-19 pandemic that hit the world caused restrictions on human movement which resulted in a decline in all economic sectors. The purpose of this research is to obtain optimal train schedule recommendations for the operation of the Kereta Rel Listrik Commuter Line in the Rangkasbitung - Tanah Abang service to carry passengers optimally while adhering to the physical distancing protocol set by the Minister of Transportation to prevent the wider spread of Covid-19. With such a large amount of data that must be processed, Exploratory Data Analysis is one of the choices we take to process the above data to get satisfactory results