Muhammad SURAHMAN - Academia.edu (original) (raw)

Papers by Muhammad SURAHMAN

Research paper thumbnail of Pelaksanaan Kebijakan Selektif Pada Tempat Pemeriksaan Imigrasi

Civitas Academica : Jurnal Ilmiah Mahasiswa, Apr 19, 2021

Research paper thumbnail of Penerapan Metode SVM-Based Machine Learning Untuk Menganalisa Pengguna Data Trafik Internet (Studi Kasus Jaringan Internet Wlan Mahasiswa Bina Darma)

Internet usage is an important requirement that supports the performance and activities on campus... more Internet usage is an important requirement that supports the performance and activities on campus. To control internet usage, it is necessary to know the distribution of internet usage. By utilizing a number of machine learning algorithms and WEKA software, the research is carried out by observation and taking data from wifi hotspots on campus. The classification method using SVM-Based utilizes the classification method owned by Support Vector Machine (SVM). This study aims to classify data on internet usage so that from this classification can be known destination network, protocol, and bandwidth that are widely accessed at certain times. Internet traffic data is retrieved through Wireshark software. Whereas data processing and data processing of internet traffic is processed by WEKA. The results showed: 1) UBD internet usage in the week I 133,196 users, week II 304,042 users,2) Use of Destination Network 24,150 and Use of Protocol 37,321,3) Destination networks that are often addr...

Research paper thumbnail of Penerapan Metode SVM-Based Machine Learning Untuk Menganalisa Pengguna Data Trafik Internet (Studi Kasus Jaringan Internet Wlan Mahasiswa Bina Darma)

ArXiv, 2020

Internet usage is an important requirement that supports the performance and activities on campus... more Internet usage is an important requirement that supports the performance and activities on campus. To control internet usage, it is necessary to know the distribution of internet usage. By utilizing a number of machine learning algorithms and WEKA software, the research is carried out by observation and taking data from wifi hotspots on campus. The classification method using SVM-Based utilizes the classification method owned by Support Vector Machine (SVM). This study aims to classify data on internet usage so that from this classification can be known destination network, protocol, and bandwidth that are widely accessed at certain times. Internet traffic data is retrieved through Wireshark software. Whereas data processing and data processing of internet traffic is processed by WEKA. The results showed: 1) UBD internet usage in the week I 133,196 users, week II 304,042 users,2) Use of Destination Network 24,150 and Use of Protocol 37,321,3) Destination networks that are often addr...

Research paper thumbnail of Studi Deskripsi Mengenai Chlidren Well-Being pada Siswa yang Berstatus Ekonomi Rendah di SD "X" Bandung

Well being berkaitan erat terhadap kesejahteraan manusia. Teori Children Well-Being dapat diartik... more Well being berkaitan erat terhadap kesejahteraan manusia. Teori Children Well-Being dapat diartikan sebagai seperangkat persepsi, evaluasi dan aspirasi individu (dalam kasus ini khususnya anak-anak) mengenai hidupnya dan kondisi kehidupannya (Casas, dalam UNICEF 2012) pada siswa yang berstatus ekonomi rendah di SD “X” Bandung. Jumlah partisipan pada penelitian ini sebanyak 82 siswa yang duduk di bangku kelas 4, 5, dan 6. Teknik penarikan partisipan penelitian menggunakan populasi yaitu semua anggota populasi digunakan sebagai sampel penelitian. Partisipan mengisi alat ukur yang dimodifikasi oleh peneliti berdasarkan Internasional Survey of Children’s Well-Being Questionnere (ISCIWeb) yang terdiri dari 51 item. Uji statistik yang digunakan dalam penelitian ini adalah uji deskriptif dengan program SPSS 24. Reliabilitas yang digunakan adalah Alpha Cronbach dengan hasil pengolahan data didapatkan nilai sebesar 0.89. Validitas dari alat ukur ini berkisar antara 0.327-0.680. Berdasarkan h...

Research paper thumbnail of Pelaksanaan Kebijakan Selektif Pada Tempat Pemeriksaan Imigrasi

Civitas Academica : Jurnal Ilmiah Mahasiswa, Apr 19, 2021

Research paper thumbnail of Penerapan Metode SVM-Based Machine Learning Untuk Menganalisa Pengguna Data Trafik Internet (Studi Kasus Jaringan Internet Wlan Mahasiswa Bina Darma)

Internet usage is an important requirement that supports the performance and activities on campus... more Internet usage is an important requirement that supports the performance and activities on campus. To control internet usage, it is necessary to know the distribution of internet usage. By utilizing a number of machine learning algorithms and WEKA software, the research is carried out by observation and taking data from wifi hotspots on campus. The classification method using SVM-Based utilizes the classification method owned by Support Vector Machine (SVM). This study aims to classify data on internet usage so that from this classification can be known destination network, protocol, and bandwidth that are widely accessed at certain times. Internet traffic data is retrieved through Wireshark software. Whereas data processing and data processing of internet traffic is processed by WEKA. The results showed: 1) UBD internet usage in the week I 133,196 users, week II 304,042 users,2) Use of Destination Network 24,150 and Use of Protocol 37,321,3) Destination networks that are often addr...

Research paper thumbnail of Penerapan Metode SVM-Based Machine Learning Untuk Menganalisa Pengguna Data Trafik Internet (Studi Kasus Jaringan Internet Wlan Mahasiswa Bina Darma)

ArXiv, 2020

Internet usage is an important requirement that supports the performance and activities on campus... more Internet usage is an important requirement that supports the performance and activities on campus. To control internet usage, it is necessary to know the distribution of internet usage. By utilizing a number of machine learning algorithms and WEKA software, the research is carried out by observation and taking data from wifi hotspots on campus. The classification method using SVM-Based utilizes the classification method owned by Support Vector Machine (SVM). This study aims to classify data on internet usage so that from this classification can be known destination network, protocol, and bandwidth that are widely accessed at certain times. Internet traffic data is retrieved through Wireshark software. Whereas data processing and data processing of internet traffic is processed by WEKA. The results showed: 1) UBD internet usage in the week I 133,196 users, week II 304,042 users,2) Use of Destination Network 24,150 and Use of Protocol 37,321,3) Destination networks that are often addr...

Research paper thumbnail of Studi Deskripsi Mengenai Chlidren Well-Being pada Siswa yang Berstatus Ekonomi Rendah di SD "X" Bandung

Well being berkaitan erat terhadap kesejahteraan manusia. Teori Children Well-Being dapat diartik... more Well being berkaitan erat terhadap kesejahteraan manusia. Teori Children Well-Being dapat diartikan sebagai seperangkat persepsi, evaluasi dan aspirasi individu (dalam kasus ini khususnya anak-anak) mengenai hidupnya dan kondisi kehidupannya (Casas, dalam UNICEF 2012) pada siswa yang berstatus ekonomi rendah di SD “X” Bandung. Jumlah partisipan pada penelitian ini sebanyak 82 siswa yang duduk di bangku kelas 4, 5, dan 6. Teknik penarikan partisipan penelitian menggunakan populasi yaitu semua anggota populasi digunakan sebagai sampel penelitian. Partisipan mengisi alat ukur yang dimodifikasi oleh peneliti berdasarkan Internasional Survey of Children’s Well-Being Questionnere (ISCIWeb) yang terdiri dari 51 item. Uji statistik yang digunakan dalam penelitian ini adalah uji deskriptif dengan program SPSS 24. Reliabilitas yang digunakan adalah Alpha Cronbach dengan hasil pengolahan data didapatkan nilai sebesar 0.89. Validitas dari alat ukur ini berkisar antara 0.327-0.680. Berdasarkan h...