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Dian Anggraini
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seict@upi.edu
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INDONESIA
Journal of Software Engineering, Information and Communication Technology
Published by Universitas Pendidikan Indonesia
ISSN : 27741656     EISSN : 27741699     DOI : https://doi.org/10.17509/seict
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
The Journal of Software Engineering, Information and Communication Technology promotes research in the broad field of science and technology (including such disciplines as Agriculture, Environmental Science, etc.) with particular respect to Indonesia, but not limited to authorship or topical coverage within the region. Contributions are expected from senior researchers, project managers, research administrators and PhD students at advanced stages of their research, representing both public organizations and private industry. Equally, the journal if intended for scholars and students, reseachers working at research organizations and government agencies, and also for enterprises undertaking applied R&D to lead innovations. The editorial contents and elements that comprise the journal include: Theoretical articles Empirical studies Practice-oriented papers Case studies Review of papers, books, and resources. As far as the criteria for evaluating and accepting submissions is concerned, a rigorous review process will be used. Submitted papers will, prior to the formal review, be screened so as to ensure their suitability and adequacy to the journal. In addition, an initial quality control will be performed, so as to ensure matters such as language, style of references and others, comply with the journals style. Focus And Scope Software engineering Information technology Data Science AI/ML Cloud Computing, Big Data and Social Computing Image Processing Applied Informatics Database Technologies and Applications Digital Information Computation and Retrieval Information Security Human Computer Interaction Multimedia and Game Data Mining Ubiquitous Computing Business Intelligence and Knowledge Management Iot Software Engineering Education
Arjuna Subject : Ilmu Komputer (semua kategori) - Perangkat Lunak
Articles 6 Documents
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Search results for , issue "Vol 2, No 2: December 2021" : 6 Documents clear
Implementation of JIProlog on an Android-based Song Expert System to Provide Song Recommendations Based on 16 Human Personality Types Robby Akbar; Taufik Ridwan
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 2, No 2: December 2021
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (363.119 KB) | DOI: 10.17509/seict.v2i2.40217

Abstract

Songs can be enjoyed by someone both in sad and happy heart conditions. The genres of songs are very diverse according to the personality that a person has. Songs also always get attention in society. However, the problem often experienced by some people who rarely enjoy songs is that they don't know what songs suit their personality when they want to listen to music. The purpose of this research is to develop an Android-based Song Expert System application with the implementation of the Java Internet Prolog (JIProlog) library. The method used in designing this expert system is forward chaining; this method aims to browse data on a knowledge base logically. The results of this application will provide song recommendations based on 4 dimensions of personality, namely, dimension 1 (introvert/extrovert), dimension 2 (sensory/intuitive), dimension 3 (thinking/feeling), and dimension 4 (judging/perceiving). Of the 16 human personalities, each personality type will be given 3 song genres. So that users can choose a variety of songs that suit their personality. The test results show that the system successfully displays recommendations with the knowledge base, but the resulting song recommendations still have limitations. Hopefully, this song expert system can help someone get songs that match their personality and the condition of the heart that is being experienced.
Smart Home Electric Energy Management Using Non-Intrusive Appliance Load Monitoring (NILM) Nurman Hariyanto; Dian Anggraini; Ary Setijadi Prihatmanto
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 2, No 2: December 2021
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (998.621 KB) | DOI: 10.17509/seict.v2i1.34572

Abstract

Reducing the use of electrical energy in everyday life can be done with the awareness of the user. Awareness of using electrical energy can be done by providing information about the use of electricity itself. In developing a smart home with energy management systems or other commercial electronic devices, a tool that can measure or sort electricity usage in buildings and households is needed based on current and voltage units. Measuring and sorting what is meant is separating the total power consumption used as a load of a specific device that can be used by applying the Non-Intrusive Load Monitoring (NILM) technique known as Energy Disaggregation. The results are shown by NILM using the IoT concept data will be sent to the server via the internet using Message Queuing Telemetry Transport (MQTT). The data is processed and given to the user in the form of measurement results for each electronic device connected to the measuring device. From these results, the system can separate the energy from the refrigerator and air conditioner from the total energy consumed at one time. This step is one way to make energy efficient, that an energy management system with iot concept is built.
Segmentation of Credit Card Customers Based on Their Credit Card Usage Behavior using The K-Means Algorithm Ichwanul Muslim Karo Karo
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 2, No 2: December 2021
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (334.15 KB) | DOI: 10.17509/seict.v2i2.40220

Abstract

The intensity of credit card customers in making transactions has increased in the last 10 years in Indonesia. This is both a challenge and an opportunity for the Bank. Customer segmentation information is beneficial to reduce bad debts or increasing customer credit card limit capacity. This study aims to segment credit card customers based on their usage behavior with a clustering approach using the K-means algorithm. While the process of evaluating segmentation results using the silhouette index. Based on the experimental results, six groups are the best number of clusters. The six groups are shopping hobbies, payment process at maturity, payment by installments, withdrawing cash, buying expensive goods, and types that rarely use credit cards.
TADAKU: Application of Research Questionnaire Collection as an Effort to Increase the Quantity and Quality of Research in Indonesia Fuji Rahmannisa; Inggo Iwan Kurniawan; Muhammad Fadhli Taqdirul Jabbar; Indira Syawanodya
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 2, No 2: December 2021
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (236.665 KB) | DOI: 10.17509/seict.v2i2.40290

Abstract

Data is crucial in today's modern society. One of the most effective ways to obtain data is through online surveys using online questionnaires. However, there is a lack of online questionnaire creation applications that can motivate respondents to participate in surveys. As a result, survey creators often face difficulties in obtaining responses from respondents. The Tadaku application is designed to address this issue by providing a platform for survey creators to create questionnaires and helping them to reach targeted respondents quickly and accurately by implementing a reward system for participants who are willing to complete the questionnaires. Thus, the Tadaku application provides motivation and benefits for respondents. The questionnaire app system is developed using the waterfall method, which consists of four stages: needs analysis, system design, coding, system testing, and maintenance. The features available in the Tadaku questionnaire application include registration, creating new questionnaires, questionnaire completion, and point redemption for cash rewards.
Prediction Calculation of PT. Indofood Sukses Makmur Tbk. Stock using R Studio with Autoregressive Integrated Moving Average (ARIMA) Method Jonassen Kenrick; Yanti Yanti
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 2, No 2: December 2021
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.694 KB) | DOI: 10.17509/seict.v2i2.41552

Abstract

PT. Indofood Sukses Makmur Tbk is one of the consumer stocks with a parent company, namely PT. Indofood Sukses Makmur Tbk (INDF) is also in the consumer sector. In 2020, the impact of the coronavirus pandemic will be felt by the public and the government, one of which also has a significant effect on the economic sector. Macro companies show stock prices dropping drastically in early 2020 due to the pandemic. And that's where investors are tempted to buy shares. However, until now, the price of macro companies' claims, including INDF's shares, still fluctuates. So it is difficult to determine the future stock price. Therefore, research is needed to predict INDF stock prices in the future. This study aims to provide information about INDF stock prices in the future based on prediction results which investors can then use to read INDF stock charts in the future so that they do not experience capital loss. This research uses R Studio with Autoregressive Integrated Moving Average (ARIMA) method. Based on the research method carried out in input and data processing, checking stationarity, model specifications, parameter estimation, residual analysis, and forecasting, the results obtained regarding the prediction of INDF stock prices show fairly accurate results. This can be seen from the results of stock price predictions in February – April 2021 with the actual data available. Figures from the actual data are still included in the upper and lower limits of the predicted results.
My Alphabet Application: Alphabet Introduction Learning Media for 1st-grade Elementary School using Augmented Reality Technology Dwi Rahayu; Fitri Utami; Ismail Nur; Nada Laili; Respati Yuniati Rina Anddari; Sabrina Mulia
Journal of Software Engineering, Information and Communication Technology (SEICT) Vol 2, No 2: December 2021
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/seict.v2i2.59650

Abstract

Reading skills can be initiated by familiarizing children with letter recognition first. Students who cannot recognize and differentiate letters will have difficulty reading. Implementing interactive learning media in the learning process can enhance students' motivation, leading to a higher interest in participating in learning activities. Augmented Reality (AR)-based learning media is one approach to creating an interactive learning environment. The research methodology used in this study is the Multimedia Development Life Cycle (MDLC), which consists of six stages: concept, design, material collecting, assembly, testing, and distribution. This research aims to create a better learning atmosphere for alphabet recognition by incorporating interactivity. This is intended to engage students throughout the learning process. Evaluation is conducted using the black box method to validate the application. The evaluation results demonstrate that the application functions according to the developer's plan, making it suitable for elementary school alphabet recognition learning activities.

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