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Rancang Bangun Aplikasi Mobile Tracking Dengan Menggunakan Sms Gateway Untuk Meningkatkan Keamanan Pada PT. ARTIDUTA ANEKA USAHA Sandana, I Putu Dedy; Wibowo, Januar; Taufik, Vicky M
Jurnal JSIKA Vol 1, No 2 (2012)
Publisher : Jurnal JSIKA

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Abstract

Car thefts lately very prevalent both intensity and location of events that makes PT. Meaning of Various Business Ambassadors become restless for delivery of goods. In general, only the form of car security alarm installation and assembly has been widely known existence. While it never developed a tracking system and vehicle safety position, which can be accessed online and can not be monitored by cell phone or mobile phones (HP) as it also requires a monthly fee for the expenditure rates can make the monitoring of vehicles that have been provided by several companies that providing mobile tracking service. PT. Various meanings Ambassador Enterprises need a tool and application that can monitor the vehicle position and disable the ignition remotely. Then designed and built a Car Security System Based Geographic Information Systems, Car Security System for which it can monitor the vehicle remotely and provide a sense of security on the company´s automobile operations. The system is based Geographic Information System (GIS) where the system that include a map to determine the existence of such vehicles are seen on the map using the Google Maps API. Key words: mobile tracking, sms gateway, security
Rancang Bangun Aplikasi Mobile Tracking Dengan Menggunakan Sms Gateway Untuk Meningkatkan Keamanan Pada PT. ARTIDUTA ANEKA USAHA Sandana, I Putu Dedy; Wibowo, Januar; Taufik, Vicky M
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 1, No 2 (2012)
Publisher : Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Car thefts lately very prevalent both intensity and location of events that makes PT. Meaning of Various Business Ambassadors become restless for delivery of goods. In general, only the form of car security alarm installation and assembly has been widely known existence. While it never developed a tracking system and vehicle safety position, which can be accessed online and can not be monitored by cell phone or mobile phones (HP) as it also requires a monthly fee for the expenditure rates can make the monitoring of vehicles that have been provided by several companies that providing mobile tracking service. PT. Various meanings Ambassador Enterprises need a tool and application that can monitor the vehicle position and disable the ignition remotely. Then designed and built a Car Security System Based Geographic Information Systems, Car Security System for which it can monitor the vehicle remotely and provide a sense of security on the company's automobile operations. The system is based Geographic Information System (GIS) where the system that include a map to determine the existence of such vehicles are seen on the map using the Google Maps API. Key words: mobile tracking, sms gateway, security
Rancang Bangun Aplikasi Mobile Tracking Dengan Menggunakan Sms Gateway Untuk Meningkatkan Keamanan Pada PT. ARTIDUTA ANEKA USAHA Sandana, I Putu Dedy; Wibowo, Januar; Taufik, Vicky M
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 1, No 2 (2012)
Publisher : Jurnal Sistem Informasi Universitas Dinamika (JSIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (103.763 KB)

Abstract

Car thefts lately very prevalent both intensity and location of events that makes PT. Meaning of Various Business Ambassadors become restless for delivery of goods. In general, only the form of car security alarm installation and assembly has been widely known existence. While it never developed a tracking system and vehicle safety position, which can be accessed online and can not be monitored by cell phone or mobile phones (HP) as it also requires a monthly fee for the expenditure rates can make the monitoring of vehicles that have been provided by several companies that providing mobile tracking service. PT. Various meanings Ambassador Enterprises need a tool and application that can monitor the vehicle position and disable the ignition remotely. Then designed and built a Car Security System Based Geographic Information Systems, Car Security System for which it can monitor the vehicle remotely and provide a sense of security on the company's automobile operations. The system is based Geographic Information System (GIS) where the system that include a map to determine the existence of such vehicles are seen on the map using the Google Maps API. Key words: mobile tracking, sms gateway, security
Rancang Bangun Aplikasi Mobile Tracking Dengan Menggunakan Sms Gateway Untuk Meningkatkan Keamanan Pada PT. ARTIDUTA ANEKA USAHA I Putu Dedy Sandana; Januar Wibowo; Vicky M Taufik
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 1, No 2 (2012)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Car thefts lately very prevalent both intensity and location of events that makes PT. Meaning of Various Business Ambassadors become restless for delivery of goods. In general, only the form of car security alarm installation and assembly has been widely known existence. While it never developed a tracking system and vehicle safety position, which can be accessed online and can not be monitored by cell phone or mobile phones (HP) as it also requires a monthly fee for the expenditure rates can make the monitoring of vehicles that have been provided by several companies that providing mobile tracking service. PT. Various meanings Ambassador Enterprises need a tool and application that can monitor the vehicle position and disable the ignition remotely. Then designed and built a Car Security System Based Geographic Information Systems, Car Security System for which it can monitor the vehicle remotely and provide a sense of security on the company's automobile operations. The system is based Geographic Information System (GIS) where the system that include a map to determine the existence of such vehicles are seen on the map using the Google Maps API. Key words: mobile tracking, sms gateway, security
Optimizing Hotel Room Occupancy Prediction Using an Enhanced Linear Regression Algorithms Pramita, Dewa Ayu Kadek; Saraswati, Ni Wayan Sumartini; Sandana, I Putu Dedy; Pirozmand, Poria; Bisena, I Kadek Agus
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 24 No 1 (2024)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i1.4254

Abstract

Predicting the correct hotel occupancy rate is important in the tourism industry because it has a major impact on the level of revenue and maintenance of a hotel’s reputation. With accurate predictions, hotel performance can be optimized regarding resources, staff, and hotel facilities. The linear regression method has been proven to perform causal predictions well. However, this method has several weaknesses, such as the function of the relationship between dependent variables and independent variables that are not linear, overfitting, or underfitting in building the prediction model. The purpose of this study was to optimize the linear regression model in predicting hotel occupancy rates. The method used in this study was a Linear Regression method optimized with Polynomial Regression and regularization techniques to reduce overfitting using Ridge Regression and Lasso Regression. The results of the model evaluation showed that linear regression, which was optimized with Polynomial Regression and Ridge Regression in the model with the historical data of the Adiwana Unagi occupancy rate, historical data of the hotel occupancy rate in Bali, and the number of tourist visits in Bali, gave the best performance, with a mean absolute error score of 1.0648, root mean square error of 2.1036, and R-squared of 0.9953. The conclusion of this research was optimization using polynomial regression, achieving the best evaluation scores, where the prediction model performance indicates that variable X7 (tourist visit numbers) strongly influences the prediction of the occupancy rate.
PKM MENGEMBANGKAN REVENUE MANAGEMENT SYSTEM UNTUK KAJA KANGIN WARUNG Saraswati, Ni Wayan Sumartini; Suryawan, I Wayan Dharma; Bisena, I Kadek Agus; Pramita, Dewa Ayu Kadek; Muku, I Dewa Made Krishna; Hartono, Eddy; Sandana, I Putu Dedy; Sari, Ni Luh Pangestu Widya
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2024): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59458/jwl.v4i2.91

Abstract

Kita berada pada era banjir data seiring dengan berkembangnya teknologi informasi dan internet. Biaya internet dan biaya media penyimpanan yang semakin murah mendorong masyarakat industri untuk menggunakan teknologi informasi dalam rangka mendukung jalannya perusahaan. Kaja Kangin Warung merupakan warung makan yang berada di daerah Ubud dimana saat ini hanya menggunakan sistem kasir dan dalam pengambilan keputusan untuk strategi bisnisnya. Untuk saat ini data yang terkumpul belum diolah secara maksimal dan belum memiliki informasi berharga untuk pengambilan keputusan yang lebih baik. Kegiatan pengabdian masyarakat ini mengembangkan descriptive analytics bagi Kaja Kangin Warung. Warung yang merupakan unit kecil ini memiliki urgensi yang lebih tinggi untuk mendapatkan penangangan berupa business intelligence system, mengingat bahwa perubahan strategi sangat penting untuk pengembangan warung. Descriptive analytics akan dikembangkan berbasis web application berdasarkan kebutuhan dari manajemen akan informasi yang digunakan untuk pengambilan keputusan. Adapun sumber datanya diperoleh dari data historis transaksi penjualan warung. Kegiatan PKM ini menghasilkan 10 halaman yang menampilkan visualisasi bisnis sehingga dapat bermanfaat dalam menjawab pertanyaan-pertanyaan bisnis Kaja Kangin Warung.
Optimizing Hotel Room Occupancy Prediction Using an Enhanced Linear Regression Algorithms Pramita, Dewa Ayu Kadek; Saraswati, Ni Wayan Sumartini; Sandana, I Putu Dedy; Pirozmand, Poria; Bisena, I Kadek Agus
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 24 No. 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i1.4254

Abstract

Predicting the correct hotel occupancy rate is important in the tourism industry because it has a major impact on the level of revenue and maintenance of a hotel’s reputation. With accurate predictions, hotel performance can be optimized regarding resources, staff, and hotel facilities. The linear regression method has been proven to perform causal predictions well. However, this method has several weaknesses, such as the function of the relationship between dependent variables and independent variables that are not linear, overfitting, or underfitting in building the prediction model. The purpose of this study was to optimize the linear regression model in predicting hotel occupancy rates. The method used in this study was a Linear Regression method optimized with Polynomial Regression and regularization techniques to reduce overfitting using Ridge Regression and Lasso Regression. The results of the model evaluation showed that linear regression, which was optimized with Polynomial Regression and Ridge Regression in the model with the historical data of the Adiwana Unagi occupancy rate, historical data of the hotel occupancy rate in Bali, and the number of tourist visits in Bali, gave the best performance, with a mean absolute error score of 1.0648, root mean square error of 2.1036, and R-squared of 0.9953. The conclusion of this research was optimization using polynomial regression, achieving the best evaluation scores, where the prediction model performance indicates that variable X7 (tourist visit numbers) strongly influences the prediction of the occupancy rate.