Garuda - Garba Rujukan Digital

Implementation of a Web-based Cash Information System in The RT.010/08 Area of Ragunan, South Jakarta S Sutisna; R Rasiban; Tri Wahyudi; Imam Muftadi; Muhammad Ilham Fadillah; Kurniawan Setyo Nugroho; Rudi Tri Jaya
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i6.203

The Ragunan area specifically RT 010 RW 08 is an area that currently really needs a population administration information system that can perform data processing related to the process of providing information about the Ragunan area, specifically in RT 010 RW 08, such as registration of population data, family, date of birth, print out residents' correspondence, report on cash information from residents and report on residents' complaints to the head of the RT. In the data processing that is currently running, God is still recorded in the ledger. In services and public information, which is currently still done manually, and also all data is recorded in a ledger for making ktp (identity card) and also kk (family card) which must first look for data in the main population book. The obstacles faced in this process are activities that take time and the risk of data recording errors. This can be overcome by building a new system that is more effective and efficient, namely a web-based Information System using the MySql database.

Implementation of a Web-based Cash Information System in The RT.010/08 Area of Ragunan, South Jakarta S Sutisna; R Rasiban; Tri Wahyudi; Imam Muftadi; Muhammad Ilham Fadillah; Kurniawan Setyo Nugroho; Rudi Tri Jaya
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The Ragunan area specifically RT 010 RW 08 is an area that currently really needs a population administration information system that can perform data processing related to the process of providing information about the Ragunan area, specifically in RT 010 RW 08, such as registration of population data, family, date of birth, print out residents' correspondence, report on cash information from residents and report on residents' complaints to the head of the RT. In the data processing that is currently running, God is still recorded in the ledger. In services and public information, which is currently still done manually, and also all data is recorded in a ledger for making ktp (identity card) and also kk (family card) which must first look for data in the main population book. The obstacles faced in this process are activities that take time and the risk of data recording errors. This can be overcome by building a new system that is more effective and efficient, namely a web-based Information System using the MySql database.

Implementation of Data Mining Using K-Means Clustering Method to Determine Sales Strategy In S&R Baby Store Tri Wahyudi; Titi Silfia
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

The S&R Baby Store store is a Small and Medium Enterprise (SME) that is engaged in baby equipment, but there is a lot of competition between small and medium enterprises (SMEs) who are engaged in the same field, so that many products sold are of course not all sold out, some are lacking. in demand. Therefore the S&R Baby Store store needs a good sales strategy in order to increase sales profit. This study discusses the application of data mining, using the K-Means Clustering algorithm with the CRISP-DM method. Implementation using RapidMiner 9.10 which is done by entering sales transaction data with a total of 4 attributes and forming 4 clusters consisting of very in demand, in demand, moderate in demand and less in demand. the second cluster with 944 products, the third cluster with 2 products, and the fourth cluster with 43 products. The results of the cluster above are the products sold are the best-selling product categories, then the results of the cluster are validated using the Davies-Bouldin Index with a DBI value generated from clustering of 0.560.

Implementation of Data Mining Prediction Delivery Time Using Linear Regression Algorithm Tri Wahyudi; Dava Septya Arroufu
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

In the current era of modernization, online shopping has become a habit of the people, and is closely related to freight forwarding services in charge of delivering online shopping items from the seller to the buyer. So that buyers need a fast and safe delivery service to ensure the goods sent on time to their destination. Customer satisfaction is one of the most important factors in the shipping business. However, there are several obstacles that occur in the field that cause delays in the delivery of goods. Therefore, one solution that can be used to overcome this problem is to use data mining technology to predict delivery times. Using 1,000 datasets consisting of 4 Attributes, data processing will be carried out with prediction techniques using the Linear Regression algorithm. By utilizing data when the goods are taken, when the goods are on the way, until they reach the buyer, they can produce forecasts or predictions and produce several analyzes so that in the future there will be no delivery delays. Based on the RMSE (Root Mean Square Error) value which serves to generate the level value the error of the prediction results using this method and in an RMSE value of 0.370 %. It can be concluded that using the Linear Regression algorithm is proven to be accurate in predicting delivery times.

Classification of Booster Vaccination Symptoms Using Naive Bayes Algorithm and C4.5 Rudi Tri Jaya; Tri Wahyudi
Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Covid-19 is a respiratory infection that is transmitted through the air. The first case was reported on March 2, 2020, to be precise in Depok, West Java, Indonesia. To reduce the number of corona virus sufferers, the government has made various efforts including policies to limit activities outside the home, online learning, work from home, and even worship activities. To reduce the number of people infected with the Covid-19 virus, efforts are being made, one of which is the provision of vaccines. In this study, the types of booster vaccines are Pfizer and AstraZeneca. Due to the symptoms caused by the condition of the patient after vaccination, the researchers used the Naive Bayes Algorithm and C4.5 methods with attributes including gender, age, comorbidities (comorbidities), temperature, blood pressure, Covid 19 survivors > 1 month, pregnant condition, type of vaccine. primer and booster vaccine types which aim to get the highest accuracy value between the two algorithm methods which are tested using cross validation on the RapidMiner Studio tool. And obtained the Naive Bayes algorithm method with the highest accuracy value of 78.82%. Keywords: Covid 19, booster, AEFI, Naive Bayes, C4.5, Rapid Miner

Implementasi Rules dan Manajemen Bandwidth pada Mikrotik di Perumahan Permata Puri Harmoni RW 016 Tri Wahyudi; Adi Riswan; Fath Maulana; Dennis Andika Putra
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v4i1.118

Using rules with bandwidth management improves network utilization and optimizes system performance. By prioritizing network access, you can better manage bandwidth usage and thus better serve applications that require higher bandwidth. Additionally, rules help you maintain network security by identifying and managing unwanted activity such as piracy and virus spreading. Overall, this journal shows that the use of rules in Mikrotik's bandwidth management improves network efficiency and security. The bandwidth management method implemented is simple queuing with a maximum bandwidth of 10 Mbit/s for each user and network optimization by blocking websites with harmful content Permata Puri Harmoni Housing RW 016 Internet network stability.

IMPLEMENTASI DATA MINING MENGGUNAKAN ALGORITMA C4.5 UNTUK PREDIKSI EVALUASI ANGGOTA SATUAN PENGAMANAN STUDI KASUS PT. YIMM PULOGADUNG Fery Pirmansyah; Tri Wahyudi
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.370

The inability to perform security duties is a problem that has serious consequences for both the company and the members of the security force. In today's increasingly competitive environment, where companies must search for highly competent people, a more sophisticated technical approach is needed to overcome this problem. One of the techniques used in data analysis is data mining. The researchers implemented a classification method using decision trees. Decision trees were chosen because they are one of the most used techniques in data analysis and provide rules that are easy to apply. This study uses the C4.5 algorithm to generate classification rules that decide whether a member of a security unit should be retained in a company. The results of this study showed an accuracy rate of 99.84%, demonstrating excellent ability to predict the incompetence of security unit members. Through this approach, data regarding the incompetence of security force members can be presented in a more professional and effective manner, helping companies make more informed decisions about personnel. their affairs

Implementasi Rules dan Manajemen Bandwidth pada Mikrotik di Perumahan Permata Puri Harmoni RW 016 Tri Wahyudi; Adi Riswan; Fath Maulana; Dennis Andika Putra
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v4i1.118

Using rules with bandwidth management improves network utilization and optimizes system performance. By prioritizing network access, you can better manage bandwidth usage and thus better serve applications that require higher bandwidth. Additionally, rules help you maintain network security by identifying and managing unwanted activity such as piracy and virus spreading. Overall, this journal shows that the use of rules in Mikrotik's bandwidth management improves network efficiency and security. The bandwidth management method implemented is simple queuing with a maximum bandwidth of 10 Mbit/s for each user and network optimization by blocking websites with harmful content Permata Puri Harmoni Housing RW 016 Internet network stability.

Title

Found 8 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 8 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 8 Documents
Search