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Business Process for debit card transactions using Electronic Data Capture (EDC) Case study: Bank CIMB Niaga Tbk Samuel Andi Kristyan; Suhardi
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 1 (2024): April, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.1.880

EDC (Electronic Data Capture) in banking is a means of expediting transactions at trade outlets. Sometimes not all buyers bring cash to buy the goods they want, usually the shop owner/keeper directs the buyer to withdraw money at an ATM or transfer using mobile banking or something similar. The problem that occurs is that sometimes there are queues at the ATM and not all buyers activate mobile banking. In fact, sometimes you don't end up buying an item that you have bargained for/liked, it's just a matter of a difficult transaction process. The presence of EDC banking machines can reduce the above problems. EDC is a transaction tool that is widely used today. Apart from ease of transactions, it also leaves several problems that need to be fixed. In this paper the author wants to analyze business processes and improvements so that they can minimize the risk of crime and lost property.

Utilizing GP 2 for Restaurant Recommendation Nitamayega; Gia Septiana Wulandari; Kemas Rahmat Saleh Wiharja
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 1 (2024): April, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.1.907

The increasing diversity of food and beverage providers poses a challenge for people to find a restaurant that aligns with their preferences. Restaurant recommendation systems can address this problem by providing accurate and relevant suggestions. Although there are many previous studies have explored various recommendation methodologies, the utilization of knowledge graph implemented with GP 2 is still limited. Knowledge graphs can represent complex information in a structured way, while GP 2 is a graph-specific programming language that has a simple syntax. This research focuses on the implementation of a knowledge graph-based restaurant recommendation system with GP 2. The recommendation scheme built can provide the best accuracy, reaching 84.97%. This shows that the knowledge graph-based restaurant recommendation system with GP 2 can demonstrate the effectiveness of the system in providing accurate and relevant recommendations, showing the potential of knowledge graph and GP 2 for the development of recommendation systems in the future and being an effective solution to overcome recommendation problems.

Music Recommendation System Using Alternating Least Squares Method Muhammad Rafi Irfansyah; Dade Nurjanah; Hani Nurrahmi
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 1 (2024): April, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.1.908

Music is not just entertainment, but it also has a positive impact on psychological well-being. The music landscape is generally dominated by millennials, especially in Indonesia. Music recommendation systems are becoming an important factor in offering songs that match users' preferences. Collaborative Filtering (CF), particularly the Alternating Least Squares (ALS) method, has become a popular solution for data sparsity problems in user-item interactions. Using the Precision@K metric, ALS provides the best results at a 50:50 data split ratio, 0.30225 for the Last FM dataset and 0.19742 for the Taste Profile dataset. Further analysis shows that ALS is more effective on datasets with balanced data distributions, such as Last FM, than on datasets with noisier characteristics, such as Taste Profile. The main conclusion is that ALS is suitable for use on datasets with balanced data distributions and can provide more optimal recommendations. For further development, handling sparsity data on Taste Profile needs to be improved to improve the performance of the recommendation model. This illustrates the importance of adapting the model to the unique characteristics of each dataset to achieve more accurate music recommendations.

Securing KTP Data Using QR Code Modification and Elliptic Curve Cryptography Rakha Aditya Nugraha; Ari Moesriami Barmawi
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 1 (2024): April, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.1.909

Identity Cards (KTP) are essential for Indonesian people. KTP contains personal information, such as National Identity Number (NIK), Name, Address, Gender, etc. Since KTP has essential data and is still printed conventionally, there is a vulnerability if the KTP is lost, and the owner's data is disclosed so that if an irresponsible person finds it, the data can be used for impersonating the owner. In the previous method proposed by Haque et al., [1], the data was stored in a QR Code. However, there was no verification method to legitimize the original owner, and the system did not have a login feature. To overcome the weakness of Haque et al., method [1], the owner's NIK is encrypted using the Elliptic Curve El-Gamal (ECEG) and further signed using ECDSA by the owners before storing it in the QR Code. For obtaining the owner's data in the database, the verification process should be done after the QR Code is scanned. Using the proposed method, the probability of success for a guessing attack is 1 / (n-1). Meanwhile, the probability of success for an impersonation attack is 1 / (q1 * q2 * l).

SIMULASI PEMBANGUNAN JARINGAN MOBILE DENGAN SRSLTE DAN OAI Moch. Fahru Moch. Fahru Rizal; Prajna Deshanta Ibnugraha; Sandy Krisna Mukti; Malik Abdul Aziz
Indonesia Journal on Computing (Indo-JC) Vol. 9 No. 1 (2024): April, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.1.923

Open Air Interface is a telecommunications infrastructure development platform that aims to create an open source 4G/5G telecommunications network. This technology can replace commercial 4G/5G network infrastructure and or interconnect with existing 4G/5G cellular networks. This study aims to create test-beds of 4G OAI and srsLTE in a limited non-commercial scope, using USRP B205-mini and B210 which runs 4G standard cellular services using a single-site scheme. The results of srsLTE and OAI integration have adequate performance in power of -32.6 dBm and a Power to Signal Ratio of 19.54 dB.

Business Process for debit card transactions using Electronic Data Capture (EDC) Case study: Bank CIMB Niaga Tbk Samuel Andi Kristyan; Suhardi
Indonesian Journal on Computing (Indo-JC) Vol. 9 No. 1 (2024): April, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.1.880

EDC (Electronic Data Capture) in banking is a means of expediting transactions at trade outlets. Sometimes not all buyers bring cash to buy the goods they want, usually the shop owner/keeper directs the buyer to withdraw money at an ATM or transfer using mobile banking or something similar. The problem that occurs is that sometimes there are queues at the ATM and not all buyers activate mobile banking. In fact, sometimes you don't end up buying an item that you have bargained for/liked, it's just a matter of a difficult transaction process. The presence of EDC banking machines can reduce the above problems. EDC is a transaction tool that is widely used today. Apart from ease of transactions, it also leaves several problems that need to be fixed. In this paper the author wants to analyze business processes and improvements so that they can minimize the risk of crime and lost property.

Utilizing GP 2 for Restaurant Recommendation Nitamayega; Gia Septiana Wulandari; Kemas Rahmat Saleh Wiharja
Indonesian Journal on Computing (Indo-JC) Vol. 9 No. 1 (2024): April, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.1.907

The increasing diversity of food and beverage providers poses a challenge for people to find a restaurant that aligns with their preferences. Restaurant recommendation systems can address this problem by providing accurate and relevant suggestions. Although there are many previous studies have explored various recommendation methodologies, the utilization of knowledge graph implemented with GP 2 is still limited. Knowledge graphs can represent complex information in a structured way, while GP 2 is a graph-specific programming language that has a simple syntax. This research focuses on the implementation of a knowledge graph-based restaurant recommendation system with GP 2. The recommendation scheme built can provide the best accuracy, reaching 84.97%. This shows that the knowledge graph-based restaurant recommendation system with GP 2 can demonstrate the effectiveness of the system in providing accurate and relevant recommendations, showing the potential of knowledge graph and GP 2 for the development of recommendation systems in the future and being an effective solution to overcome recommendation problems.

Music Recommendation System Using Alternating Least Squares Method Irfansyah, Muhammad Rafi; Dade Nurjanah; Hani Nurrahmi
Indonesian Journal on Computing (Indo-JC) Vol. 9 No. 1 (2024): April, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.1.908

Music is not just entertainment, but it also has a positive impact on psychological well-being. The music landscape is generally dominated by millennials, especially in Indonesia. Music recommendation systems are becoming an important factor in offering songs that match users' preferences. Collaborative Filtering (CF), particularly the Alternating Least Squares (ALS) method, has become a popular solution for data sparsity problems in user-item interactions. Using the Precision@K metric, ALS provides the best results at a 50:50 data split ratio, 0.30225 for the Last FM dataset and 0.19742 for the Taste Profile dataset. Further analysis shows that ALS is more effective on datasets with balanced data distributions, such as Last FM, than on datasets with noisier characteristics, such as Taste Profile. The main conclusion is that ALS is suitable for use on datasets with balanced data distributions and can provide more optimal recommendations. For further development, handling sparsity data on Taste Profile needs to be improved to improve the performance of the recommendation model. This illustrates the importance of adapting the model to the unique characteristics of each dataset to achieve more accurate music recommendations.

Securing KTP Data Using QR Code Modification and Elliptic Curve Cryptography Nugraha, Rakha Aditya; Barmawi, Ari Moesriami
Indonesian Journal on Computing (Indo-JC) Vol. 9 No. 1 (2024): April, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.1.909

Identity Cards (KTP) are essential for Indonesian people. KTP contains personal information, such as National Identity Number (NIK), Name, Address, Gender, etc. Since KTP has essential data and is still printed conventionally, there is a vulnerability if the KTP is lost, and the owner's data is disclosed so that if an irresponsible person finds it, the data can be used for impersonating the owner. In the previous method proposed by Haque et al., [1], the data was stored in a QR Code. However, there was no verification method to legitimize the original owner, and the system did not have a login feature. To overcome the weakness of Haque et al., method [1], the owner's NIK is encrypted using the Elliptic Curve El-Gamal (ECEG) and further signed using ECDSA by the owners before storing it in the QR Code. For obtaining the owner's data in the database, the verification process should be done after the QR Code is scanned. Using the proposed method, the probability of success for a guessing attack is 1 / (n-1). Meanwhile, the probability of success for an impersonation attack is 1 / (q1 * q2 * l).

SIMULASI PEMBANGUNAN JARINGAN MOBILE DENGAN SRSLTE DAN OAI Moch. Fahru Rizal, Moch. Fahru; Ibnugraha, Prajna Deshanta; Mukti, Sandy Krisna; Aziz, Malik Abdul
Indonesian Journal on Computing (Indo-JC) Vol. 9 No. 1 (2024): April, 2024
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2024.9.1.923

Open Air Interface is a telecommunications infrastructure development platform that aims to create an open source 4G/5G telecommunications network. This technology can replace commercial 4G/5G network infrastructure and or interconnect with existing 4G/5G cellular networks. This study aims to create test-beds of 4G OAI and srsLTE in a limited non-commercial scope, using USRP B205-mini and B210 which runs 4G standard cellular services using a single-site scheme. The results of srsLTE and OAI integration have adequate performance in power of -32.6 dBm and a Power to Signal Ratio of 19.54 dB.

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Contact Name
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Contact Email
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Journal Mail Official
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Editorial Address
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Location
Kota bandung,

Jawa barat

INDONESIA