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Paradigma

paradigma
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Published by Universitas Bina Sarana Informatika

ISSN : 14105063 EISSN : 25793500 DOI : http://dx.doi.org/10.31294/paradigma

Core Subject : Science,

Computer Science & IT

The Paradigma Journal is intended as a medium for scientific studies of research, thought and analysis-critical issues on Computer Science, Information Systems, and Information Technology, both nationally and internationally. The scientific article refers to theoretical reviews and empirical studies of related sciences, which can be accounted for and disseminated nationally and internationally. Paradigma Journal accepts scientific articles research at Expert Systems, Information Systems, Web Programming, Mobile Programming, Games Programming, Data Mining, and Decision Support Systems.

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 10 Documents

Search results for , issue "Vol. 24 No. 2 (2022): September 2022 Period" : 10 Documents clear

Inventory Information System Audit Using Cobit 5 Domain MEA at PT. Telkom Akses Pontianak Noor Hellyda Hermawati; Susy Rosyida
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

PT. Telkom Akses Pontianak has an inventory system that has been used so far. During the research, several findings were found, such as information related to material availability, an ineffective system related to expenditure data that has an impact on the company's periodic reports, and the lack of optimization of existing human resources. so that the existing problems become the basis for conducting an audit of the information system used. The audit refers to the COBIT 5 framework using the MEA Domain. The results of the capability level of each MEA subdomain itself and the Gap Analysis are found. With the capability value of MEA 01 subdomain worth 3.83, MEA 02 subdomain worth 3.60, and MEA 03 subdomain worth 3.69, with an average value of 3.70 with Predictable Process description which means the object under study has reached the process. set runs within a defined limit to achieve the process objectives. And with the Gap Analysis calculation, namely the MEA 01 subdomain worth 1.2, MEA 02 subdomain worth 1.4, and MEA 03 subdomain worth 1.3, with an average value of 1.3 which means the company still needs to improve related to information systems. Inventory is used to obtain optimal results for all stakeholders.

A Mengukur Tingkat Kematangan Organisasi Dalam Proses Pengembangan Perangkat Lunak Menggunakan Metode CMMI-Dev Frangky Frangky
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

The great influence of technological developments on many aspects of life, among others, is seen in major changes in economic, social, and political processes, and even the world of education. As experienced by the College of XX, an organization engaged in the world of education. The implementation of information technology products such as applications has been carried out, but it was found that during the development period until now, the College of XX has never measured the level of organizational maturity in the software development process, so the organization cannot know what system performance is like, and what kind of feedback from users include students, lecturers, education staff on the performance of the system they have. Therefore, it is necessary to measure the level of organizational maturity in the software development process using the CMMI-Dev method. Based on the 22 process areas offered by CMMI-Dev, then adjustments are made to the process area with the system that is owned, the process area in question is Product Integration (PI) or Product Integration and Validation (VAL) or Validation. After conducting the Gap Analysis, it was found that the maturity level (maturity) is 3.5 with a nominal gap value of 0.5 and the percentage gap value of 50% is the lowest Gap, it is concluded that the organizational maturity level is currently at level 2. This means that the process has been planned and carried out in accordance with existing policies, and the human resources employed are skilled in their fields and have other adequate resources. However, in its application, there are still domains that must be improved and improved in order to reach the maximum level. It is recommended to implement the SOP and always evaluate whether the process has behaved consistently and stably.

Improving Population Services With Application of Genetic Algorithm Yonata Laia; Naomi Br Hutagalung; Imanuel Purba; Juli Rostianita Sitopu
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

The computer system has now become one of the tools that can be used by everyone in doing work such as office work, managing family card applications, birth certificates, ID cards at the sub-district office. In this case, the problem that often occurs in the lurah office or sub-district office is the queue that is too long in the service of each community who will take care of submitting their file maker. So with that there needs to be a system that will help every employee who can minimize the performance of the person in charge of managing the file. In this research will use scheduling method with genetic algorithm. The results of the research succeeded in minimizing the waiting time by the community who would submit files at the Pancur Batu sub-district office. The time required for registration is 5 minutes per person.

Analysis Forecasting Sales With Single Exponential Smoothing Method Abraham Manalu; Dewi Roito; Eika Rizkiadina; Yonata Laia
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Currently, as we know that the use of computer-based systems, almost everyone's activities depend on computer-based systems. one that is currently very adequate in the use of the application is the sales system, in this research the problem faced by the company is the difficulty of determining the amount of inventory stock each month. The reason is because the number of types of goods is not small so this is the cause of the lack of fulfillment of consumer demand every day. Companies that do have a number of inventories whose stock or inventory is on a large scale, so it needs a special system in this control so that the required inventory is always met, the point is for the company's income to increase even more. Researchers as technology-savvy people provide ideas for companies to use a system that can minimize the lack of goods inventory. This is what the researcher wants to solve the problem with the single exponential smoothing method. Because the method used can do fortune-telling in the short term for example 1 month ahead. The results of this study succeeded in predicting the amount of inventory in stock every month.

Implementation of The Apriori Algorithm Method to Analyze the Pattern of Motorcycle Sales at PT. Alpha Scorpio Oloan Sihombing; Veronica T. D. Simamora; Vivian P. Leo; Petrus Kristian P. Marpaung
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

This study discusses how to make a pattern in the motorcycle sales process, where every month the sales of each type of motorcycle must be different. So that every employee is overwhelmed in classifying the types of items that will be recommended in adding stock. The goal is to keep consumer demand met every month. Based on the research that has been done, this study concludes: the results of research with a minimum support limit of 30% and a minimum confidence of 70%, form 20 rules every year. One of the rules established is that if a 2X4 motorcycle is sold, the Yamaha A 90 type is sold with a support value of 45% and a confidence value of 74.46%.This study discusses how to make a pattern in the motorcycle sales process, where every month the sales of each type of motorcycle must be different. So that every employee is overwhelmed in classifying the types of items that will be recommended in adding stock. The goal is to keep consumer demand met every month. Based on the research that has been done, this study concludes: the results of research with a minimum support limit of 30% and a minimum confidence of 70%, form 20 rules every year. One of the rules established is that if a 2X4 motorcycle is sold, the Yamaha A 90 type is sold with a support value of 45% and a confidence value of 74.46%.

Low Bit-Rate Parametric Coding Djadjat Sudaradjat; Andi Rosano
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

With a low bit rate will be obtained savings in the use of bandwidth transmission channels and memory. In coding the human voice signal, an artificial voice-producing model is made to obtain a low bit rate, which is known as the parametric coding method. With the parametric coding method, the human voice signal can produce a lower bit rate than the waveform coding method. For example, the waveform coding method will be limited by a minimum sampling frequency which according to the Shannon-Nyquist theorem states that so that no information is lost when sampling the signal, the sampling speed must be at least twice the bandwidth of the signal. Thus, the lowest bit rate waveform encoding that can be achieved is by the Delta Modulation system which is 8 Kbit/sec. While the signal parametric coding can achieve a lower bit rate of 2.4 Kbit/sec by the LPC (Linear Predictive Coding) system.

Grouping Data in Predicting Infant Mortality Using K-Means and Decision Tree Ridwansyah Ridwansyah; Verry Riyanto; Abdul Hamid; Sri Rahayu; Jajang Jaya Purnama
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Death is something that we cannot avoid where, when and how death comes. The high infant mortality rate is the main thing and the Indonesian government must prioritize, one of the government's efforts to reduce infant mortality is by conducting a surveillance program, namely PWS KIA where the program is uniting the health of mothers and babies in the local area, basically there are several infant deaths that have causes from the time of pregnancy, accidents, disasters, diseases or because it is destiny from God, for that research is carried out in classifying infant mortality data. For grouping infant mortality data, a K-Means method is needed to analyze data by carrying out a data modeling process without supervision or also known as unsupervised learning. In showing the centroid in the early stages of the k-means algorithm, it is very influential on the results of the cluster carried out on the infant mortality dataset. taken from data.go.id with different centroid results. The results of the clustering model pattern that can be trusted by the government or the Health department to prevent infant mortality. From the clustering results, four labels are tested again using the decision tree algorithm.

Aspect-Based Sentiment Analysis on Indonesian Presidential Election Using Deep Learning Fadillah Said; Lindung Parningotan Manik
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

The 2019 presidential election is a presidential election that has been a hot topic of discussion for some time, and people have even talked about this topic since 2018 on the internet. In predicting the winner of the presidential election, previous research has conducted research on the aspect-based sentiment analysis (ABSA) dataset of the 2019 presidential election using machine learning algorithms such as the Support Vector Machine (SVM), Naive Bayes (NB), and K-Nearest Neighbors (KNN) and produces good accuracy. This study proposes a deep learning method using the BERT (Bidirectional Encoder Representation Form Transformers) and RoBERTa (A Robustly Optimized BERT Pretraining Approach) models. The results of this study indicate that the indobenchmark BERT and RoBERTa base-Indonesian single label classification models on target features with preprocessing produce the best accuracy of 98.02%. The indolem BERT model and the indobenchmark single label classification on the target feature without preprocessing produce the best accuracy of 98.02%. The BERT indobenchmark single label classification model on aspect features with preprocessing produces the best accuracy of 74.26%. The BERT indolem single label classification model on aspect features without preprocessing produces the best accuracy of 74.26%. The BERT indolem single label classification model on the sentiment feature with preprocessing produces the best accuracy of 93.07%. The BERT indolem single label classification model on the sentiment feature without preprocessing produces the best accuracy of 94.06%. The BERT indobenchmark multi label classification model with preprocessing produces the best accuracy of 98.66%. The BERT indobenchmark multi label classification model without preprocessing produces the best accuracy of 98.66%.

Visitor Counter and Information Viewer at Photo Exhibitions using Embedded Systems and Web Services I Made Bhaskara Gautama; I Gusti Ngurah Wikranta Arsa; Ni Putu Virgi Savita
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Photography is the art and production of images and light on a film or sensitized surface. It becomes a popular art as a hobby or for a living. Thus, many photography events are held such as photo exhibitions. The exhibition aims to show the work of art to the public or to promote the work so it can be profitable for the artist. One of the problems that arise from this photo exhibition is the need for the owner of the work or the event organizer to find out how many people have visited/seen a photo earnestly. This can be an indicator of public interest in the artwork. Counting manually is less effective to do considering the number of photos on display. Therefore, we need a tool that can be mass-produced at a relatively low cost to detect visitors to the photo site. The tool is based on a microcontroller (embedded system) which also uses the IoT concept. The tool is made using a NodeMCU microcontroller and PIR sensor. Based on the test results, the tool can count visitors with an accuracy rate of 82% and successfully displays information when visitors are detected and hides information when visitors leave the detection area.

Determining the Best Answers for Balinese Language Problems using Latent Semantic Analysis Made Agus Putra Subali; I Ketut Putu Suniantara
Paradigma Vol. 24 No. 2 (2022): September 2022 Period
Publisher : LPPM Universitas Bina Sarana Informatika

In Balinese, descriptions or essays are formed in an interrogative format using question words such as “akuda”, “apa”, “dija”, “kenken”, “kuda”, dan “nyen”. The assessment process on description questions tends to be more difficult and complex than multiple choice questions, this is because the description questions are described in sentence form. The solution to facilitate the assessment process on description questions can be done using automated essay scoring. Based on the results of previous studies, the Latent Semantic Analysis (LSA) method provides a better level of accuracy, because the LSA method uses the Singular Value Decomposition (SVD) method to obtain a new pattern of relationships between terms and reference terms. The data used in this study are five questions and their answer keys and there are five candidate answers for each question in Balinese. Based on the tests that have been carried out, the method used obtained an overall average accuracy of 70.26%, this shows that the LSA method can be used well in the assessment process or automatic essay assessment.

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Contact Name
Sopiyan Dalis

Contact Email
sopiyan.spd@bsi.ac.id

Phone
+6281380852868

Journal Mail Official
jurnal.paradigma@bsi.a.cid

Editorial Address
Jl. Kramat Raya No.98, Kwitang, Kec. Senen, Kota Jakarta Pusat, DKI Jakarta 10450

Location
Kota adm. jakarta barat,

Dki jakarta

INDONESIA

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Sopiyan Dalis

Contact Email sopiyan.spd@bsi.ac.id

Phone +6281380852868

Journal Mail Official jurnal.paradigma@bsi.a.cid

Editorial Address Jl. Kramat Raya No.98, Kwitang, Kec. Senen, Kota Jakarta Pusat, DKI Jakarta 10450

Location Kota adm. jakarta barat, Dki jakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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Abstract

Contact Name
Sopiyan Dalis

Contact Email
sopiyan.spd@bsi.ac.id

Phone
+6281380852868

Journal Mail Official
jurnal.paradigma@bsi.a.cid

Editorial Address
Jl. Kramat Raya No.98, Kwitang, Kec. Senen, Kota Jakarta Pusat, DKI Jakarta 10450

Location
Kota adm. jakarta barat,

Dki jakarta

INDONESIA