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The Generating Indonesian Paraphrased Sentences with Verbal Predicate Replacement Bunyamin; Arie Ardiyanti Suryani
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.709

Sentence paraphrasing is restating sentences using different diction without changing the meaning of the language. Paraphrasing sentences can be done in several ways, including synonym substitution techniques, changing sentence forms, or replacing the predicate part of sentence. This research aims to produce a paraphrased sentence generator with semantic similarities to the original sentence. The paraphrasing used in this research is to identify the verb type predicate in simple sentences using PoS Tagging. Then look for words similar to the predicate using the similarity of the word2vec model. A list of opposites antonyms is used to improve the lexical substitution results. Evaluation is done by using human judgment between the results and the original sentence. The experimental results show that of the 600 sentence datasets, 48.37% of the sentences have semantic similarities, 20.93% have semantic reductions, and 30.70% have no semantic similarities.

Development of Android-Based Classroom Presentation System by using Android Set?Top-Box Dita Oktaria; Herman Tolle; Aryo Pinandito
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.855

The integration of multimedia technology in classroom presentations offers significant benefits in delivering material effectively to students and enhancing the presenter's credibility. Traditionally, teachers faced issues like weak laptop battery life and unavailability of chargers. An innovative solution to this problem is the use of set-top-boxes, compact internet-enabled mini-PCs designed for specific purposes. With new-generation set-top boxes based on Android, users can develop their applications, opening new possibilities in presentation delivery. One effective solution involves creating a centralized system to manage presentation files stored on a server accessible through the set-top box. Through functional and non-functional testing, the system proves to meet desired needs. Users reported high satisfaction rates of 93%, and the application's response time was less than one second, confirming the efficiency of the Android Set-top-box. This technology not only enhances lesson delivery but also efficiently addresses classroom presentation challenges in a user-friendly manner.

Convergence Sublayer Analysis and Implementation on Medium Access Control Layer using The Embedded Configurable Operating System Febri Dawani; Tri Brotoharsono; Setyorini
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.856

This study explores the implementation of the Convergence Sublayer (CS) defined in IEEE Std 802.16TM-2004. The CS, situated atop the Medium Access Control Layer, plays a crucial role in classifying and mapping MAC Service Data Units (MSDU) to specific connections identified by Connection Identifiers (CID). Using the Embedded Configurable Operating System (eCos), an Open Source Real-Time Operating System, this research successfully demonstrates the implementation of MAC CS on a specific hardware platform. The findings indicate that eCos facilitates the efficient execution of MAC CS's classification and mapping functions.

QUIDS: A Novel Edge-Based Botnet Detection with Quantization for IoT Device Pairing Aji Gautama Putrada; Nur Alamsyah; Mohamad Nurkamal Fauzan; Sidik Prabowo; Ikke Dian Oktaviani
Indonesia Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.878

Advanced machine learning has managed to detect IoT botnets. However, conflicts arise due to complex models and limited device resources. Our research aim is on a quantized intrusion detection system (QUIDS), an edge-based botnet detection for IoT device pairing. Using knearest neighbor (KNN) within QUIDS, we incorporate quantization, random sampling (RS), and feature selection (FS). Initially, we simulated a botnet attack, devised countermeasures via a sequence diagram, and then utilized a Kaggle botnet attack dataset. Our novel approach includes RS, FS, and 16-bit quantization, optimizing each step empirically. The test results show that employing a mean decrease in impurity (MDI) by FS reduces features from 115 to 30. Despite a slight accuracy drop in KNN due to RS, FS, and quantization sustain performance. Testing our model revealed 1200 RS samples as optimal, maintaining performance while reducing features. Quantization to 16-bit doesn’t alter feature value distribution. Implementing QUIDS increased the compression ratio (CR) to 175×, surpassing RS+FS threefold and RS by 13 times. This novel method emerges as the most efficient in CR.

The Generating Indonesian Paraphrased Sentences with Verbal Predicate Replacement Bunyamin; Suryani, Arie Ardiyanti
Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.709

Sentence paraphrasing is restating sentences using different diction without changing the meaning of the language. Paraphrasing sentences can be done in several ways, including synonym substitution techniques, changing sentence forms, or replacing the predicate part of sentence. This research aims to produce a paraphrased sentence generator with semantic similarities to the original sentence. The paraphrasing used in this research is to identify the verb type predicate in simple sentences using PoS Tagging. Then look for words similar to the predicate using the similarity of the word2vec model. A list of opposites antonyms is used to improve the lexical substitution results. Evaluation is done by using human judgment between the results and the original sentence. The experimental results show that of the 600 sentence datasets, 48.37% of the sentences have semantic similarities, 20.93% have semantic reductions, and 30.70% have no semantic similarities.

Development of Android-Based Classroom Presentation System by using Android Set?Top-Box Oktaria, Dita; Herman Tolle; Aryo Pinandito
Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.855

The integration of multimedia technology in classroom presentations offers significant benefits in delivering material effectively to students and enhancing the presenter's credibility. Traditionally, teachers faced issues like weak laptop battery life and unavailability of chargers. An innovative solution to this problem is the use of set-top-boxes, compact internet-enabled mini-PCs designed for specific purposes. With new-generation set-top boxes based on Android, users can develop their applications, opening new possibilities in presentation delivery. One effective solution involves creating a centralized system to manage presentation files stored on a server accessible through the set-top box. Through functional and non-functional testing, the system proves to meet desired needs. Users reported high satisfaction rates of 93%, and the application's response time was less than one second, confirming the efficiency of the Android Set-top-box. This technology not only enhances lesson delivery but also efficiently addresses classroom presentation challenges in a user-friendly manner.

Convergence Sublayer Analysis and Implementation on Medium Access Control Layer using The Embedded Configurable Operating System Dawani, Febri; Tri Brotoharsono; Setyorini
Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.856

This study explores the implementation of the Convergence Sublayer (CS) defined in IEEE Std 802.16TM-2004. The CS, situated atop the Medium Access Control Layer, plays a crucial role in classifying and mapping MAC Service Data Units (MSDU) to specific connections identified by Connection Identifiers (CID). Using the Embedded Configurable Operating System (eCos), an Open Source Real-Time Operating System, this research successfully demonstrates the implementation of MAC CS on a specific hardware platform. The findings indicate that eCos facilitates the efficient execution of MAC CS's classification and mapping functions.

QUIDS: A Novel Edge-Based Botnet Detection with Quantization for IoT Device Pairing Aji Gautama Putrada; Nur Alamsyah; Mohamad Nurkamal Fauzan; Sidik Prabowo; Ikke Dian Oktaviani
Indonesian Journal on Computing (Indo-JC) Vol. 8 No. 3 (2023): December 2023
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2023.8.3.878

Advanced machine learning has managed to detect IoT botnets. However, conflicts arise due to complex models and limited device resources. Our research aim is on a quantized intrusion detection system (QUIDS), an edge-based botnet detection for IoT device pairing. Using knearest neighbor (KNN) within QUIDS, we incorporate quantization, random sampling (RS), and feature selection (FS). Initially, we simulated a botnet attack, devised countermeasures via a sequence diagram, and then utilized a Kaggle botnet attack dataset. Our novel approach includes RS, FS, and 16-bit quantization, optimizing each step empirically. The test results show that employing a mean decrease in impurity (MDI) by FS reduces features from 115 to 30. Despite a slight accuracy drop in KNN due to RS, FS, and quantization sustain performance. Testing our model revealed 1200 RS samples as optimal, maintaining performance while reducing features. Quantization to 16-bit doesn’t alter feature value distribution. Implementing QUIDS increased the compression ratio (CR) to 175×, surpassing RS+FS threefold and RS by 13 times. This novel method emerges as the most efficient in CR.

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email -

Phone -

Journal Mail Official -

Editorial Address -

Location Kota bandung, Jawa barat INDONESIA

Abstract

Abstract

Abstract

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Abstract

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota bandung,

Jawa barat

INDONESIA