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IJISCS (International Journal Of Information System and Computer Science)

ijiscs
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Published by STMIK Pringsewu Lampung

ISSN : 25980793 EISSN : 2598246x DOI : -

Core Subject : Science,

Computer Science & IT

The International Journal Information System and Computer Science (IJISCS) is a publication for researchers and developers to share ideas and results of software engineering and technologies. These journal publish some types of papers such as research papers reporting original research results, technology trend surveys reviewing an area of research in software engineering and technologies, survey articles surveying a broad area in software engineering and technologies. The scope covers all areas of software engineering methods and practices, object-oriented systems, rapid prototyping, software reuse, cleanroom software engineering, stepwise refinement/enhancement, ambiguity in software development, impact of CASE on software development life cycle, knowledge engineering methods and practices, formal methods of specification, deductive database systems,logic programming, reverse engineering in software design, expert systems, knowledge-based systems, distributed knowledge-based systems, knowledge representations, knowledge-based systems in language translation & processing, software and knowledge-ware maintenance, Software Specification and Modeling, Embedded and Real-time Software (ERTS), and applications in various domains of interest.

Arjuna Subject : -

Articles 111 Documents

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EMOTION DETECTION IN ARABIC TEXT USING MACHINE LEARNING METHODS Fatimah Aljwari
IJISCS (International Journal of Information System and Computer Science) Vol 6, No 3 (2022): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v6i3.1322

Emotions are essential to any or all languages and are notoriously challenging to grasp. The textual data with embedded emotions has increased considerably with the Internet and social networking platforms. This study aims to tackle the challenging problem of emotion detection in Arabic text. Recent studies found that dialect diversity and morpho-logical complexity in the Arabic language, with limited access to annotated training datasets for Arabic emotions, pose the foremost significant challenges to Arabic emotion detection. The previous few years have seen a giant increase in interest in text emotion detection. The study of Arabic emotions might be a result of the Arab world’s considerable influence on global politics and thus the economy. There are numerous uses for the automated recognition of emotions within the textual content on Facebook and Twitter, including company development, program design, content generation, and emergency response. Hence, we shall develop a machine-learning model for emotion detection from Arabic textual data on social platforms. This study categorizes the texts supported emotions, anger, joy, sadness, and fear, using supervised machine learning approaches. We used five different machine learning algorithms, namely Decision Tree (DT), K-Nearest Neighbor (KNN), Naive Bayes (NB), Multinomial Naive Bayes (NB), and Support Vector Machine (SVM) to classify emotions in Arabic tweets. These results found that the selection Tree and K- Nearest Neighbor classifiers have the simplest accomplishment regarding the accuracy, 0.74, While the NB and Multinomial NB classifiers acquired 0.69, and also the SVM obtained 0.63.

STUDY AND IMPROVEMENT OF PERFORMANCE OF NoSQL DATABASES: MongoDB, HBase and OrientDB. Noel Bila; Bopatriciat Boluma Mangata; Eugène MBUYI MUKENDI; Parfum BUKANGA CHRISTIAN
IJISCS (International Journal of Information System and Computer Science) Vol 6, No 3 (2022): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v6i3.1262

This dissertation adds to the various research works in the field of NoSQL "Not only SQL" databases. These new models propose a new way of organizing and storing data designed mainly to remedy the constraints imposed by the ACID properties on relational models. Our objective was to develop a comparative performance study, between three NoSQL solutions widely used in the market, namely: MongoDB, HBase and OrientDB, to propose to decision makers, elements of information for possible choices of the best appropriate solution for their companies. The Benchmark used to decide between these solutions is the Yahoo Cloud Serving Benchmark.

MODELING AND IMPLEMENTATION OF AN ECO-OPTIMIZED NETWORK BASED ON VLANS FOR THE REDUCTION OF CARBON FOOTPRINTS Bopatriciat Boluma Mangata; Evariste Sindani Mbuta; Patience Ryan Tebua Tene; Blanchard Kangulumba Mutanga
IJISCS (International Journal of Information System and Computer Science) Vol 6, No 3 (2022): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v6i3.1267

The present work proposes a model of responsible digitalization in the Democratic Republic of Congo, by implementing an eco-optimized network based on VLANs while reducing the carbon footprint, the technologies to be adopted and the energy and ecological efficiency measurement indicators to minimize the greenhouse gas emissions in DRC. The goals of such an architecture are to simplify the infrastructure, increase virtualization, save hardware and software, rationalize the use of the information system, reduce energy consumption and finally reduce the carbon footprint of the information system. With regard to the design of an optimal local network within the Directorate General of Taxes (DGI), we opted to set up a virtual local network (VLAN) that will be adapted to all DGI services. The architecture for the implementation of the optimal network within the DGI is composed of the following elements Seven VLANs for the Central Directorates; One VLAN for the operational services; One core switch (Cisco manageable switch), which enabled us to manage our network; One router with firewall for managing inter-VLAN traffic, and incoming and outgoing traffic for Internet access; Eight distribution switches that can connect equipment in the same VLAN.

THE EFFECTS OF FEATURE SELECTION METHODS ON THE CLASSIFICATIONS OF IMBALANCED DATASETS Femi Dwi Astuti; Indra Yatini Buryadi
IJISCS (International Journal of Information System and Computer Science) Vol 6, No 3 (2022): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v6i3.1279

imbalanced data often results in less than optimal classification. Also, datasets with a large number of attributes tends to make the classification results not too good, and in order get better classification accuracy results, one thing that could be done is to perform pre-processing to select the features to be used in the classification. This research uses information gain and gain ratio feature selection algorithms for the pre-processing stage prior to classification, and Naïve Bayes algorithm for the classification. The test is performed to determine the values of accuracy, precision, recall from the classification process without feature selection; accuracy value with information gain feature selection; accuracy value with gain ratio; and accuracy value with CBFS feature selection. The results are then compared to determine which feature selection algorithm gives the best results when applied to data with imbalanced classes. The results showed that the classification accuracy on the default of credit card client dataset using Nave Bayes algorithm was 64.27%. The information gain feature selection was able to increase the accuracy by 5.27% (from 64.27% to 69.54%), while the gain ratio feature selection was able to increase the accuracy by 14.19% (from 64.27% to 78.46%). In this case, the gain ratio is more suitable for data with greatly varied attribute values.

THE COMPARISON USING EXPECTATION-MAXIMIZATION ALGORITHM AND C4.5 ALGORITHM TO PREDICT THE RESULT OF BIOGAS PRODUCTION AS A POWER PLANT AT PT BUDI STARCH & SWEETENER (BSSW) Eriska Vivian Astuti eriska; Nurmayanti Nurmayanti; Rima Mawarni; Asep Afandi; Aris Munandar
IJISCS (International Journal of Information System and Computer Science) Vol 6, No 3 (2022): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v6i3.1323

Biogas is the result of the development of alternative energy that has formed through the decomposition of organic matter through an anaerobic fermentation process (without oxygen) that produces gas in the form of methane gas (CH4) which has burned. Biogas is a kind of renewable energy because it has a high methane content and calorific value. Methane has one carbon in each chain, which can produce combustion that is more environmentally friendly when compared to fuels that have long carbon chains using specific calculation techniques or methods, a data mining process has been carried out to locate interesting patterns or information in selected data to manipulate the data into more valuable information by extracting significant patterns from the database.

INTRUSION ALARM SYSTEM BASED ON RADIO FREQUENCY TECHNOLOGY, GPS, GSM AND DIJIKSTRAT ALGORITHM FOR NOTIFICATION TRIANGULATION Senghor Gihonia Abraham; Rostin MATENDO MAKENGO; Félicien MASAKUNA Jordan
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 1 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i1.1436

In today's world, cars are important products that are essential to life. But when it comes to vehicle security, it's hard to start. "Vehicle theft is on the rise. Most stolen vehicles are exported abroad. The aim of this research is to develop a remote sensing notification module. In the event of a break-in, the driver is notified by SMS using GSM technology, uses GPS to track the location of the vehicle and trace the route, maps the location and uses the DIJIKSTRAT algorithm to find the nearest send a notification to the police station. The module also incorporates a prediction system for suspicious events associated with an infrared sensor. The overall idea of this research is to use large amounts of information and suspicious movements to develop a scientific model for intrusion detection. When a person approaches a parked vehicle, infrared sensors detect and compare suspicious movements in the knowledge base to detect possible intrusions. This paper proposes an anti-theft system to help car owners avoid theft and locate their car after it has been stolen. The materials referred to in this project are also actually designed.

INFORMATION SYSTEM DESIGN OF VILLAGE-OWNED ENTERPRISES IN PEKON SINAR PETIR, BASED ON WEB AS A PROMOTIONONAL MEDIA FOR VILLAGE SUPERIOR PRODUCTS Sri Ipnuwati; Sri Surya Mandala; Dimas Irianto Ardi
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 1 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i1.1520

The development of this era in the field of information technology is very fast. This phenomenon will certainly change and become a tool for business competition between companies and organizations. A village-owned enterprise is a business entity formed based on Law No. 6 of 2014 concerning villages. With the formation of village-owned enterprises, it is hoped that villages will become independent and be able to improve the economic level of the community. In this case, the village-owned enterprise "Karya Abadi" in Pekon Sinar Petir, Talang Padang District, Tanggamus Regency, Lampung Province, has been formed since 2016 and only started in 2021. This village-owned enterprise is engaged in the following business sectors: animal husbandry, agriculture, plantations, financial services, equipment and supplies, waste management, and savings and loans. Until now, the business entity has not had a website to promote products or facilitate the dissemination of information. This research was conducted to solve this problem. This research is in the form of a website framework design for village-owned enterprise "Karya Abadi", which in the future will build a website-based information system. This research was conducted using the waterfall method, which will make it easier to develop and build an information system for the village-owned enterprise

IMPLEMENTATION OF LINEAR REGRESSION METHOD FOR PREDICTING CIMORY MILK SALES Hana Atthifa Ryantika; Merry Parida; Rustam Rustam; Herman Afandi; Sani Hanika Lubis
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 1 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i1.1333

PT. Rasa Prima Sejati Wall's is a company engaged in the field of ice cream food and Cimory drinks. This company has various types of ice products and Cimory drinks to offer. Every year the company can create new products, especially in various flavors, not only that, the company guarantees the quality of the products it produces. The problem faced by the company is that the sale of available goods does not match consumer demand. The company also has not used predictors or plans for the sale of goods so that there is a buildup of goods which results in losses in the company. In this case the research will make predictions by looking at past sales data. The data taken is only sales data for Cimory products for the last three years from 2019-2021. Research using the Liner Regression method is one of the methods in the function of predicting sales. Linear regression is a statistical method used to construct a model or relationship between one or more independent variables X and response variable Y. The software used to support data processing is Rapidminer. The purpose of this study is to use data mining to identify the most popular, least popular, and desirable products or items at Pt. Rasa Prima so that companies can use this information as a guideline for managing their inventory and attending to customer disappointment properly available using a simple linear regression method, the prediction results for 2022 and RapidMinier are 770000. This prediction can help companies make decisions and reduce inventory shortages.

SOME NEW RESULTS OF INITIAL BOUNDARY PROBLEM CONTAIN ABC-FRACTIONAL DIFFERENTIAL EQUATIONS OF ORDER α∈(2,3) Ava Rafeeq; Muhammad Muhammad
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 1 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i1.1420

The purpose of this research is to investegate the existence and uniqueness of solutions for a new class of Atangana-Baleanu fractional differential equations of order with periodic boundary conditions. Our results are based on the fixed points of Schauder, and Banach. In addition, investigate the stability of the solution using the Hyers-Ulam stable. Finally, presented an example to satisfy all theorems studies.MSC 2010: 34A08, 26A33, 34G20, 34C25, 45J05

MODELING OF AN ADAPTIVE E-LEARNING SYSTEM FOR IMPROVED LEARNING PERFORMANCE Emmanuel Onwuka Ibam; Olumide Sunday Adewale; Oluwatoyin Catherine Agbonifo; Ibrahim Makinde Akindeji
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 1 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i1.1422

Majority of the online learning systems in use today, lack proper integration of adaptive, collaborative, personalized and ubiquitous concepts in their design and implementation. Integration of these basic concepts in online learning systems will enable adaptation, individualization, and collaboration of learning resources to learners’ preferences, with an added advantage of accessibility to online resources anywhere and anytime. Hence, the research proposes an Adaptive E-Learning System (AES) model that incorporates activities sequencing in a personalised, adaptive, collaborative and ubiquitous learning environment. The system model consists of the system (software) architectural diagram and mathematical model of activity sequence. The design is presented using the UML activity diagram and the class diagram. The full implementation of the system is currently being carried out and is being tested with real life cases.

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Muhamad Muslihudin

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muslihudinstmikpsw@gmail.com

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lppm@stmikpringsewu.ac.id

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Location
Kab. pringsewu,

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