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Jurnal Teknologi dan Manajemen Informatika
Published by Universitas Merdeka Malang
ISSN : 16936604     EISSN : 25808044     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering
Jurnal Teknologi dan Manajemen Informatika (JTMI) diterbitkan oleh Fakultas Teknologi Informasi Universitas Merdeka Malang. JTMI terbit 2 edisi per tahun pada Januari - Juni dan Juli - Desember dengan scope ilmu komputer yang mencakup teknologi informasi, sistem informasi, dan manajemen informatika.
Arjuna Subject : -
Articles 8 Documents
 1 
Search results for , issue "Vol 7, No 2 (2021): Desember 2021" : 8 Documents clear
Peramalan Stock Barang Dagangan Menggunakan Metode Single Exponential Smoothing Saiful Nur Budiman
Jurnal Teknologi dan Manajemen Informatika Vol 7, No 2 (2021): Desember 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v7i2.6727

Abstract

Forecasting can be used in any field which requires a prediction of the existence of data in the future. Forecasting can be applied of them to help budget sales for the next period. Time series data obtained from sales data during a certain period of sales of a product can be used as the basis for forecasting. Excessive restocking of goods is not good for a store, because there is a possibility that the purchased goods will not sell well in the future. There needs to be a good control process for restocking goods, one of which can be used is to use a prediction of merchandise restocks using single exponential smoothing (SES). There are two kinds of sales data used, namely Koi Rice with a size of 5 kg and Bimoli Oil with a size of 900 ml. From the results of the SES calculation, a good alpha value for forecasting 5kg Koi Rice is 0.46. While the alpha value for 900ml Bimoli Oil is 0.704. The alpha value is obtained from the calculation of the smallest MSE value. The prediction results show that in the next period (15-30 September 2021) there will be a decrease in the number of sales of goods from the two products, so that shop owners can reduce their shopping allotment.
Perancangan Aplikasi Sistem Informasi Distribusi Bantuan Bencana Alam dengan Memanfaatkan Metode Rational Unified Process Saepul Zaman
Jurnal Teknologi dan Manajemen Informatika Vol 7, No 2 (2021): Desember 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v7i2.6258

Abstract

Sukabumi Regency is a disaster-prone area with a high death toll compared to other areas, so there is often a commotion caused by the struggle for disaster aid. The information system used to assist the distribution of aid has not fully synergized with the development of information technology. To realize efficiency and effectiveness in logistics distribution, it is necessary to update information systems that can support the distribution of logistics assistance quickly, precisely, and as needed. Therefore, this study aims to design an information system application for the distribution of natural disaster assistance by utilizing a rational unified process that can provide solutions to problems that occur in the field, so that disaster victims will more easily get the information they need, and the distribution of aid from PMI can be accepted more easily. quickly by disaster victims.
Perbandingan Model Deep Learning untuk Klasifikasi Sentiment Analysis dengan Teknik Natural Languange Processing Firman Pradana Rachman; Handri Santoso
Jurnal Teknologi dan Manajemen Informatika Vol 7, No 2 (2021): Desember 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v7i2.6506

Abstract

Everyone has an opinion or opinion on a product, public figure, or government policy that is spread on social media. Opinion data processing is called sentiment analysis. In processing large opinion data, it is not enough to only use machine learning, but you can also use deep learning combined with NLP (Natural Language Processing) techniques. This study compares several deep learning models such as CNN (Convolutional Neural Network), RNN (Recurrent Neural Networks), LSTM (Long Short-Term Memory), and several variants to process sentiment analysis data from Amazon and Yelp product reviews.
Rekomendasi Supplement Learning Resources dalam E-Learning berbasis Fuzzy AHP Anastasia L Maukar; Fitri Marisa; Ahmad Farhan; Ibnu Khalim; Inayati Sa’adah; Mas ‘Edi; Muchamad Roni; Moch. Fajar
Jurnal Teknologi dan Manajemen Informatika Vol 7, No 2 (2021): Desember 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v7i2.6376

Abstract

Determining effective supporting learning sources in E-Learning is a complex problem because decisions are given to various criteria aimed at giving priority to the alternatives used. The Fuzzy-Analytic Hierarchy Process (Fuzzy AHP) approach is one of the procedures that can be a solution to this problem. This method can be used to determine decisions in the assessment of pre-existing criteria. From the calculation of the tests carried out, YouTube got the highest ranking, and then below it was followed by Google, Brainly, and finally Slide Player. From these calculations, it can be concluded that YouTube can be used as a supporting learning source in the E-Learning learning system.
Klasifikasi Tanaman Beringin (Ficus Bernjamina) berdasarkan Citra Daun Menggunakan Algoritma K-Nearest Neighbors Feri Wibowo; Agung Purwo Wicaksono; Lahan Adi Purwanto
Jurnal Teknologi dan Manajemen Informatika Vol 7, No 2 (2021): Desember 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v7i2.6758

Abstract

One of the problems faced when choosing a banyan, whether to be used as a shade plant, bonsai, or medicinal plant, is to identify the appropriate type of banyan. So research must be done to find out the desired type of banyan. One way that can be used to classify is with digital image processing technology, namely by extracting features or characteristics from digital images or images. The challenge is how to classify banyan plants based on leaf images using digital image processing. This study aims to design or design and compile a digital image processing program and the K-Nearest Neighbors (KNN) algorithm for the classification of the banyan species which can be used as a model for an automatic classification system using computer equipment. The results of the research on the process of testing the classification of ficus plants based on texture and shape characteristics on leaf images using the K-Nearest Neighbors algorithm can be concluded that the application has been successfully designed and built and can be used for the texture and shape feature extraction process and can be used for the classification process. From feature extraction, seven GLCM texture features are obtained, namely energy, entropy, contrast, homogeneity, IDM, variance, and dissimilarity, and 2 shape features, namely roundness, and compactness. The test results show a relatively low accuracy value of 56.25% with data on the number of images recognized according to the type of ficus as many as 18 and not recognized as many as 5 images
Implementasi Algoritma K-Means untuk Menentukan Persediaan Barang pada Poultry Shop Firman Nurdiyansyah; Ismail Akbar
Jurnal Teknologi dan Manajemen Informatika Vol 7, No 2 (2021): Desember 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v7i2.6377

Abstract

Maintaining inventory so that the goods do not get empty is one of the ways to maintain customer satisfaction. To do this, company management must be able to analyze which items are selling well and which items are not selling well, especially in the sales department. It is not easy to CV. Muria PS because it has a large number of items, so it takes a little computational technique to simplify the problem. The K-Means clustering algorithm was chosen to solve this problem because it can group the products sold and still available into several clusters. Of the three clusters formed, cluster 1 consists of two items, cluster 2 consists of 9 items, and the remaining 25 items are included in cluster 3. From these results, CV management can take advantage of this. Muria PS to increase inventory stock and sales strategy.
Analisis dan Perancangan Sistem Manajemen Inventaris Menggunakan Metode Fishbone Hijrah Hijrah; Maulidar Maulidar
Jurnal Teknologi dan Manajemen Informatika Vol 7, No 2 (2021): Desember 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v7i2.6501

Abstract

This research was conducted with a qualitative approach and conducted interviews, observations, and documentation review to obtain primary data and secondary data. The data obtained from the research stages will be analyzed using the fishbone method to obtain the root of the problem by looking at the causes and effects of these problems. After all stages of the analysis are carried out, it will be recommended applications that can help business companies engaged in internet services minimize losses due to excess stock. The recommended application is designed using information system design tools or methods that describe the system flow, data structure, and related relationships to facilitate the application and development of applications. From the results of the analysis of the research conducted, it can be concluded that the inventory design is needed so that an inventory application is designed according to the needs of the company
Pengembangan Aplikasi Android MVTE dengan Metode RAD Fikri Amrullah; Mardiana Andarwati; Galandaru Swalaganata; Hudan Eka Rosyadi
Jurnal Teknologi dan Manajemen Informatika Vol 7, No 2 (2021): Desember 2021
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v7i2.6754

Abstract

Deaf students discuss activities with other students, Deaf students need tools in participating in discussion activities, whereas so far, Deaf students have only relied on the ability to read the lips of their interlocutors. This research produces an assistive or assistive technology, namely the Android-based MVTe (Mobile Voice To Text) application where this application simply changes the voice in written form. This application was developed using the RAD (Rapid Application Development) method. The RAD method speeds up the work process due to its compact working process. The application trial was carried out on an IT expert, 5 deaf students, and 5 lecturers in the Information Technology Faculty, Universitas Merdeka Malang. The average test result is 81.3% with a feasible category for use.

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