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Dewa Made Wiharta - One of the best experts on this subject based on the ideXlab platform.
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Pengembangan Metode Autentikasi pada Sistem Presensi Berbasis Aplikasi Mobile
'Ikatan Ahli Informatika Indonesia (IAII)', 2021Co-Authors: Komang Sri Utami, Nyoman Putra Sastra, Dewa Made WihartaAbstract:Research has been carried out on a mobile-based presence system authentication method using Mac Addresses, BSSID and IP Addresses for (Wi-Fi) networks. This study aims to develop an authentication method on the attendance system that meets two authentication requirements, namely the suitability of employee identity and location suitability, so that the attendance process becomes easy, effective, fast, and can reduce fraud. The employee's identity can be obtained from the Mac Address of the smartphone that has been previously registered, while the employee's location during the attendance process can be confirmed to be in the company environment by checking the BSSID data and IP of the Wi-Fi network connected to the smartphone. The data is then compared with Mac Address data from all Wi-Fi networks installed in the company area. RAD is used as a development model because it is simple and fast. Overall, employee identification and site checking as authentication of the developed system went well. Other than that, every function on the system works well. Furthermore, the results of the user experience evaluation using the UEQ questionnaire received an average score above 0.8 on 6 scales. This shows that the system has attractiveness, perspicuity, efficiency, dependability, stimulation and novelty. Telah dilakukan penelitian metode autentikasi sistem presensi berbasis mobile dengan pemanfaatan Mac Address, Basic Service Set Identifier (BSSID) dan IP Address jaringan Wireless-Fidelity (Wi-Fi). Tujuan penelitian ini untuk pengembangan metode autentikasi pada sistem presensi dengan pemenuhan dua syarat autentikasi, yaitu kesesuaian identitas pegawai dan lokasi, agar proses presensi menjadi mudah, efektif, cepat, dan tingkat kecurangan dapat dikurangi. Identitas pegawai dapat diidentifikasi berdasarkan Mac Address smartphone yang telah didaftarkan sebelumnya, sedangkan lokasi pegawai pada saat proses presensi dapat dipastikan berada di lingkungan perusahaan dengan pengecekan data BSSID dan IP Address jaringan Wi-Fi yang terhubung ke smartphone. Data tersebut dibandingkan terhadap data Mac Address dari seluruh instalasi jaringan Wi-Fi yang berada di area perusahaan. Model pengembangan sistem berbasis kepada Rapid Application Development (RAD) dengan pertimbangan, bahwa proses bersifat sederhana dan cepat. Proses pengujian melalui dua cara, yaitu pengujian fungsionalitas dan evaluasi pengalaman pengguna saat penggunaan sistem. Berpedoman kepada hasil pengujian ditunjukkan, bahwa identifikasi identitas pegawai dan pengecekan lokasi sebagai autentikasi pada sistem yang dikembangkan berjalan dengan baik. Hasil pengujian fungsionalitas ditunjukkan, bahwa setiap fungsi pada sistem presensi berjalan baik, berdasarkan hasil yang diharapkan dan dibandingkan terhadap hasil keluaran (output) saat pengujian. Evaluasi terhadap user experience dilakukan dengan penggunaan User Experience Questionnaire (UEQ) dengan nilai rata-rata 0,8 pada skala 6. Berdasarkan penilaian terhadap kuesioner UEQ ditunjukkan, sistem dengan kepemilikan daya tarik, kejelasan, efisien, ketepatan, stimulasi, dan berkebaruan. Dengan demikian, dapat dikatakan bahwa user menerima dengan baik sistem presensi yang dikembangkan
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Pengembangan Metode Autentikasi pada Sistem Presensi Berbasis Aplikasi Mobile
'Ikatan Ahli Informatika Indonesia (IAII)', 2021Co-Authors: Komang Sri Utami, Nyoman Putra Sastra, Dewa Made WihartaAbstract:Research has been carried out on a mobile-based presence system authentication method using Mac Addresses, BSSID and IP Addresses for (Wi-Fi) networks. This study aims to develop an authentication method on the attendance system that meets two authentication requirements, namely the suitability of employee identity and location suitability, so that the attendance process becomes easy, effective, fast, and can reduce fraud. The employee's identity can be obtained from the Mac Address of the smartphone that has been previously registered, while the employee's location during the attendance process can be confirmed to be in the company environment by checking the BSSID data and IP of the Wi-Fi network connected to the smartphone. The data is then compared with Mac Address data from all Wi-Fi networks installed in the company area. RAD is used as a development model because it is simple and fast. Overall, employee identification and site checking as authentication of the developed system went well. Other than that, every function on the system works well. Furthermore, the results of the user experience evaluation using the UEQ questionnaire received an average score above 0.8 on 6 scales. This shows that the system has attractiveness, perspicuity, efficiency, dependability, stimulation and novelty
3d Geoinformation Group, Tu Delft - One of the best experts on this subject based on the ideXlab platform.
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Weather data for Netatmo personal weather stations around the Hague (2017)
4TU.ResearchData, 2021Co-Authors: Arroyo Ohori Ken, 3d Geoinformation Group, Tu DelftAbstract:Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (Mac Address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available
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Weather data for Netatmo personal weather stations around the Hague (2016)
4TU.ResearchData, 2021Co-Authors: Arroyo Ohori Ken, 3d Geoinformation Group, Tu DelftAbstract:Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (Mac Address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available
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Weather data for Netatmo personal weather stations around the Hague (2020)
4TU.ResearchData, 2021Co-Authors: Arroyo Ohori Ken, 3d Geoinformation Group, Tu DelftAbstract:Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (Mac Address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available
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Weather data for Netatmo personal weather stations around the Hague (2015)
4TU.ResearchData, 2021Co-Authors: Arroyo Ohori Ken, 3d Geoinformation Group, Tu DelftAbstract:Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (Mac Address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available
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Weather data for Netatmo personal weather stations around the Hague (2019)
4TU.ResearchData, 2021Co-Authors: Arroyo Ohori Ken, 3d Geoinformation Group, Tu DelftAbstract:Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (Mac Address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
Komang Sri Utami - One of the best experts on this subject based on the ideXlab platform.
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Pengembangan Metode Autentikasi pada Sistem Presensi Berbasis Aplikasi Mobile
'Ikatan Ahli Informatika Indonesia (IAII)', 2021Co-Authors: Komang Sri Utami, Nyoman Putra Sastra, Dewa Made WihartaAbstract:Research has been carried out on a mobile-based presence system authentication method using Mac Addresses, BSSID and IP Addresses for (Wi-Fi) networks. This study aims to develop an authentication method on the attendance system that meets two authentication requirements, namely the suitability of employee identity and location suitability, so that the attendance process becomes easy, effective, fast, and can reduce fraud. The employee's identity can be obtained from the Mac Address of the smartphone that has been previously registered, while the employee's location during the attendance process can be confirmed to be in the company environment by checking the BSSID data and IP of the Wi-Fi network connected to the smartphone. The data is then compared with Mac Address data from all Wi-Fi networks installed in the company area. RAD is used as a development model because it is simple and fast. Overall, employee identification and site checking as authentication of the developed system went well. Other than that, every function on the system works well. Furthermore, the results of the user experience evaluation using the UEQ questionnaire received an average score above 0.8 on 6 scales. This shows that the system has attractiveness, perspicuity, efficiency, dependability, stimulation and novelty. Telah dilakukan penelitian metode autentikasi sistem presensi berbasis mobile dengan pemanfaatan Mac Address, Basic Service Set Identifier (BSSID) dan IP Address jaringan Wireless-Fidelity (Wi-Fi). Tujuan penelitian ini untuk pengembangan metode autentikasi pada sistem presensi dengan pemenuhan dua syarat autentikasi, yaitu kesesuaian identitas pegawai dan lokasi, agar proses presensi menjadi mudah, efektif, cepat, dan tingkat kecurangan dapat dikurangi. Identitas pegawai dapat diidentifikasi berdasarkan Mac Address smartphone yang telah didaftarkan sebelumnya, sedangkan lokasi pegawai pada saat proses presensi dapat dipastikan berada di lingkungan perusahaan dengan pengecekan data BSSID dan IP Address jaringan Wi-Fi yang terhubung ke smartphone. Data tersebut dibandingkan terhadap data Mac Address dari seluruh instalasi jaringan Wi-Fi yang berada di area perusahaan. Model pengembangan sistem berbasis kepada Rapid Application Development (RAD) dengan pertimbangan, bahwa proses bersifat sederhana dan cepat. Proses pengujian melalui dua cara, yaitu pengujian fungsionalitas dan evaluasi pengalaman pengguna saat penggunaan sistem. Berpedoman kepada hasil pengujian ditunjukkan, bahwa identifikasi identitas pegawai dan pengecekan lokasi sebagai autentikasi pada sistem yang dikembangkan berjalan dengan baik. Hasil pengujian fungsionalitas ditunjukkan, bahwa setiap fungsi pada sistem presensi berjalan baik, berdasarkan hasil yang diharapkan dan dibandingkan terhadap hasil keluaran (output) saat pengujian. Evaluasi terhadap user experience dilakukan dengan penggunaan User Experience Questionnaire (UEQ) dengan nilai rata-rata 0,8 pada skala 6. Berdasarkan penilaian terhadap kuesioner UEQ ditunjukkan, sistem dengan kepemilikan daya tarik, kejelasan, efisien, ketepatan, stimulasi, dan berkebaruan. Dengan demikian, dapat dikatakan bahwa user menerima dengan baik sistem presensi yang dikembangkan
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Pengembangan Metode Autentikasi pada Sistem Presensi Berbasis Aplikasi Mobile
'Ikatan Ahli Informatika Indonesia (IAII)', 2021Co-Authors: Komang Sri Utami, Nyoman Putra Sastra, Dewa Made WihartaAbstract:Research has been carried out on a mobile-based presence system authentication method using Mac Addresses, BSSID and IP Addresses for (Wi-Fi) networks. This study aims to develop an authentication method on the attendance system that meets two authentication requirements, namely the suitability of employee identity and location suitability, so that the attendance process becomes easy, effective, fast, and can reduce fraud. The employee's identity can be obtained from the Mac Address of the smartphone that has been previously registered, while the employee's location during the attendance process can be confirmed to be in the company environment by checking the BSSID data and IP of the Wi-Fi network connected to the smartphone. The data is then compared with Mac Address data from all Wi-Fi networks installed in the company area. RAD is used as a development model because it is simple and fast. Overall, employee identification and site checking as authentication of the developed system went well. Other than that, every function on the system works well. Furthermore, the results of the user experience evaluation using the UEQ questionnaire received an average score above 0.8 on 6 scales. This shows that the system has attractiveness, perspicuity, efficiency, dependability, stimulation and novelty
Arroyo Ohori Ken - One of the best experts on this subject based on the ideXlab platform.
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Weather data for Netatmo personal weather stations around the Hague (2017)
4TU.ResearchData, 2021Co-Authors: Arroyo Ohori Ken, 3d Geoinformation Group, Tu DelftAbstract:Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (Mac Address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available
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Weather data for Netatmo personal weather stations around the Hague (2016)
4TU.ResearchData, 2021Co-Authors: Arroyo Ohori Ken, 3d Geoinformation Group, Tu DelftAbstract:Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (Mac Address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available
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Weather data for Netatmo personal weather stations around the Hague (2020)
4TU.ResearchData, 2021Co-Authors: Arroyo Ohori Ken, 3d Geoinformation Group, Tu DelftAbstract:Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (Mac Address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available
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Weather data for Netatmo personal weather stations around the Hague (2015)
4TU.ResearchData, 2021Co-Authors: Arroyo Ohori Ken, 3d Geoinformation Group, Tu DelftAbstract:Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (Mac Address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available
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Weather data for Netatmo personal weather stations around the Hague (2019)
4TU.ResearchData, 2021Co-Authors: Arroyo Ohori Ken, 3d Geoinformation Group, Tu DelftAbstract:Data for the outdoor modules of the Netatmo personal weather stations that have selected to share their data publicly, which were obtained by querying the Netatmo public API every 15 minutes. One CSV (comma-separated values) file per queried time. There is one weather station per line. The attributes available are: ID (Mac Address of station), longitude, latitude, altitude, temperature, humidity and pressure. For those weather stations that have a rain gauge, there is also rainfall data available.
Nyoman Putra Sastra - One of the best experts on this subject based on the ideXlab platform.
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Pengembangan Metode Autentikasi pada Sistem Presensi Berbasis Aplikasi Mobile
'Ikatan Ahli Informatika Indonesia (IAII)', 2021Co-Authors: Komang Sri Utami, Nyoman Putra Sastra, Dewa Made WihartaAbstract:Research has been carried out on a mobile-based presence system authentication method using Mac Addresses, BSSID and IP Addresses for (Wi-Fi) networks. This study aims to develop an authentication method on the attendance system that meets two authentication requirements, namely the suitability of employee identity and location suitability, so that the attendance process becomes easy, effective, fast, and can reduce fraud. The employee's identity can be obtained from the Mac Address of the smartphone that has been previously registered, while the employee's location during the attendance process can be confirmed to be in the company environment by checking the BSSID data and IP of the Wi-Fi network connected to the smartphone. The data is then compared with Mac Address data from all Wi-Fi networks installed in the company area. RAD is used as a development model because it is simple and fast. Overall, employee identification and site checking as authentication of the developed system went well. Other than that, every function on the system works well. Furthermore, the results of the user experience evaluation using the UEQ questionnaire received an average score above 0.8 on 6 scales. This shows that the system has attractiveness, perspicuity, efficiency, dependability, stimulation and novelty. Telah dilakukan penelitian metode autentikasi sistem presensi berbasis mobile dengan pemanfaatan Mac Address, Basic Service Set Identifier (BSSID) dan IP Address jaringan Wireless-Fidelity (Wi-Fi). Tujuan penelitian ini untuk pengembangan metode autentikasi pada sistem presensi dengan pemenuhan dua syarat autentikasi, yaitu kesesuaian identitas pegawai dan lokasi, agar proses presensi menjadi mudah, efektif, cepat, dan tingkat kecurangan dapat dikurangi. Identitas pegawai dapat diidentifikasi berdasarkan Mac Address smartphone yang telah didaftarkan sebelumnya, sedangkan lokasi pegawai pada saat proses presensi dapat dipastikan berada di lingkungan perusahaan dengan pengecekan data BSSID dan IP Address jaringan Wi-Fi yang terhubung ke smartphone. Data tersebut dibandingkan terhadap data Mac Address dari seluruh instalasi jaringan Wi-Fi yang berada di area perusahaan. Model pengembangan sistem berbasis kepada Rapid Application Development (RAD) dengan pertimbangan, bahwa proses bersifat sederhana dan cepat. Proses pengujian melalui dua cara, yaitu pengujian fungsionalitas dan evaluasi pengalaman pengguna saat penggunaan sistem. Berpedoman kepada hasil pengujian ditunjukkan, bahwa identifikasi identitas pegawai dan pengecekan lokasi sebagai autentikasi pada sistem yang dikembangkan berjalan dengan baik. Hasil pengujian fungsionalitas ditunjukkan, bahwa setiap fungsi pada sistem presensi berjalan baik, berdasarkan hasil yang diharapkan dan dibandingkan terhadap hasil keluaran (output) saat pengujian. Evaluasi terhadap user experience dilakukan dengan penggunaan User Experience Questionnaire (UEQ) dengan nilai rata-rata 0,8 pada skala 6. Berdasarkan penilaian terhadap kuesioner UEQ ditunjukkan, sistem dengan kepemilikan daya tarik, kejelasan, efisien, ketepatan, stimulasi, dan berkebaruan. Dengan demikian, dapat dikatakan bahwa user menerima dengan baik sistem presensi yang dikembangkan
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Pengembangan Metode Autentikasi pada Sistem Presensi Berbasis Aplikasi Mobile
'Ikatan Ahli Informatika Indonesia (IAII)', 2021Co-Authors: Komang Sri Utami, Nyoman Putra Sastra, Dewa Made WihartaAbstract:Research has been carried out on a mobile-based presence system authentication method using Mac Addresses, BSSID and IP Addresses for (Wi-Fi) networks. This study aims to develop an authentication method on the attendance system that meets two authentication requirements, namely the suitability of employee identity and location suitability, so that the attendance process becomes easy, effective, fast, and can reduce fraud. The employee's identity can be obtained from the Mac Address of the smartphone that has been previously registered, while the employee's location during the attendance process can be confirmed to be in the company environment by checking the BSSID data and IP of the Wi-Fi network connected to the smartphone. The data is then compared with Mac Address data from all Wi-Fi networks installed in the company area. RAD is used as a development model because it is simple and fast. Overall, employee identification and site checking as authentication of the developed system went well. Other than that, every function on the system works well. Furthermore, the results of the user experience evaluation using the UEQ questionnaire received an average score above 0.8 on 6 scales. This shows that the system has attractiveness, perspicuity, efficiency, dependability, stimulation and novelty
