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All Journal Plano Madani : Jurnal Perencanaan Wilayah dan Kota Indonesian Journal of Artificial Intelligence and Data Mining JOURNAL OF APPLIED INFORMATICS AND COMPUTING JISICOM (Journal of Information System, Infomatics and Computing) JSAI (Journal Scientific and Applied Informatics) Jurnal Informatika dan Rekayasa Elektronik Cyber Security dan Forensik Digital (CSFD) Jurnal Teknologi Informatika dan Komputer Walisongo Journal of Information Technology Journal La Multiapp JURNAL ILMIAH GLOBAL EDUCATION Warta LPM Software Development Digital Business Intelligence and Computer Engineering Jurnal Pengabdian KOLABORATIF
Mustofa, Hery
Universitas Islam Negeri Walisongo Semarang
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Social Sciences Transportation Other

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Journal : Walisongo Journal of Information Technology

 1 
Klasifikasi Berita Hoax Dengan Menggunakan Metode Naive Bayes Mustofa, Hery; Mahfudh, Adzhal Arwani
Walisongo Journal of Information Technology Vol 1, No 1 (2019): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2019.1.1.3915

Abstract

Hoaxes contain false news or non-sourced news. Today, hoaxes are very widely spread through internet media. The development of information technology that has so quickly triggered the spread of hoax information through the internet has become uncontrolled. So we need an intelligent system that can classify hoax news content that is spread through internet media. The hoax classification process can be done through the preprocessing stage then weighting the word and classification using naive bayes. Measurements were made using the 10-ford cross validation method. The results obtained from these measurements, it is known that the value of fold 6 has the highest accuracy, which is equal to 85.28% which is classified as relevant documents as much as 307 and irrelevant as much as 53 or an error rate of 14.72%. While the average value based on hoax news and true news value precision 0.896 and recall 0.853
Klasifikasi Pemahaman Santri Dalam Pembelajaran Kitab Kuning Menggunakan Algoritma Naive Bayes Berbasis Forward Selection Mahfudh, Adzhal Arwani; Mustofa, Hery
Walisongo Journal of Information Technology Vol 1, No 2 (2019): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2019.1.2.4529

Abstract

Kitab kuning merupakan kitab tradisional yang mengandung diraasah islamiyah yang diajarakan pada pondok pesantren, mulai dari struktur bahasa arab (ilmu nahwu dan shorof), ‘ulumul qur’an, hadits, aqidah, tasawuf/akhlaq, tafsir, fiqh sampai ilmu sosial dan kemasyarakatan (mu’amalah).  Disebut juga dengan kitab gundul karena tidak memiliki harakat (fathah, kasroh, dhammah, sukun) untuk bisa membaca dan memahami secara menyeluruh dibutuhkan waktu yang relatif lama. Penelitian ini bertujuan untuk mendapatkan model klasifikasi dari data pembelajaran kitab kuning di pondok pesantren. Metode yang digunakan dalam penelitian ini adalah forward selection sebagai praproses dalam mengurangi dimensi data, menghilangkan data yang tidak relevan dan naive bayes yang berguna untuk mengklasifikasi data. Hasil dari klasifikasi data pembelajaran kitab kuning menggunakan atribut yang telah diklasifikasi berdasarkan fitur-fiturnya dan dilakukan iterasi pada cross validation sehingga menghasilkan akurasi yang tepat. Berdasarkan hasil pengujian dengan dua metode, pengujian dengan algoritma Naive bayes saja menghasilkan akurasi 96,02%, untuk algoritma Naive bayes berbasis forward selection menghasilkan akurasi 97,38% . Terdapat peningkatan akurasi dengan penambahan fitur seleksi.
Perancangan Sistem Informasi Reservasi Laboratorium TI UIN Walisongo Berbasis Web Mustofa, Hery; Ali, Thooriq Nur; Fauzan, Roman
Walisongo Journal of Information Technology Vol 3, No 1 (2021): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2021.3.1.8492

Abstract

The Information Technology Study Program Laboratory is part of the integrated Laboratory of UIN Walisongo Semarang which will be completed in 2021 with funding from the IsDB (Islamic Development Bank). With the existence of the laboratory, of course, many challenges will be faced. One of them is the mechanism for making laboratory space reservations. In this research, an information technology laboratory reservation information system will be designed using the waterfall method and a system model approach using an object oriented development model. With this approach, it produces a simple reservation information system and can assist in facilitating users in making reservations for IT laboratory space. From the test results, it is known that the interface design and functional system can run according to user expectations.
Perancangan Sistem Informasi Reservasi Laboratorium TI UIN Walisongo Berbasis Web Hery Mustofa; Thooriq Nur Ali; Roman Fauzan
Walisongo Journal of Information Technology Vol 3, No 1 (2021): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2021.3.1.8492

Abstract

The Information Technology Study Program Laboratory is part of the integrated Laboratory of UIN Walisongo Semarang which will be completed in 2021 with funding from the IsDB (Islamic Development Bank). With the existence of the laboratory, of course, many challenges will be faced. One of them is the mechanism for making laboratory space reservations. In this research, an information technology laboratory reservation information system will be designed using the waterfall method and a system model approach using an object oriented development model. With this approach, it produces a simple reservation information system and can assist in facilitating users in making reservations for IT laboratory space. From the test results, it is known that the interface design and functional system can run according to user expectations.
Klasifikasi Berita Hoax Dengan Menggunakan Metode Naive Bayes Hery Mustofa; Adzhal Arwani Mahfudh
Walisongo Journal of Information Technology Vol 1, No 1 (2019): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2019.1.1.3915

Abstract

Hoaxes contain false news or non-sourced news. Today, hoaxes are very widely spread through internet media. The development of information technology that has so quickly triggered the spread of hoax information through the internet has become uncontrolled. So we need an intelligent system that can classify hoax news content that is spread through internet media. The hoax classification process can be done through the preprocessing stage then weighting the word and classification using naive bayes. Measurements were made using the 10-ford cross validation method. The results obtained from these measurements, it is known that the value of fold 6 has the highest accuracy, which is equal to 85.28% which is classified as relevant documents as much as 307 and irrelevant as much as 53 or an error rate of 14.72%. While the average value based on hoax news and true news value precision 0.896 and recall 0.853
Rekayasa Sistem Pengiriman Informasi Jangkauan LAN dan WAN TVRI Jawa Tengah Menggunakan Server Samba dan FTP Alfian Hidayat; Hery Mustofa; Stefanus Widhiatmoko
Walisongo Journal of Information Technology Vol 3, No 2 (2021): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2021.3.2.9676

Abstract

Pengiriman Informasi merupakan objek vital bagi lembaga penyiaran publik(LPP) TVRI Jawa Tengah, pasalnya keseluruhan aktivitas yang terjadi pada LPP TVRI Jawa Tengah adalah pengiriman informasi. LPP TVRI Jawa Tengah membutuhkan informasi terupdate dari koresponden-koresponden daerah agar konten yang ditayangkan TVRI Jawa Tengah selalu segar dan penonton mendapatkan informasi terbaru. Lokasi-lokasi koresponden yang berbeda dan metode pengiriman yang berbeda menjadi tantangan tersendiri untuk pengiriman informasi ke redaksi TVRI Jawa Tengah. Untuk itu, perlunya dibuatkan sebuah sistem pengiriman informasi internal-eksternal TVRI Jawa Tengah yang efektif dan efisien menggunakan Server FTP dan Server Samba.
Klasifikasi Pemahaman Santri Dalam Pembelajaran Kitab Kuning Menggunakan Algoritma Naive Bayes Berbasis Forward Selection Adzhal Arwani Mahfudh; Hery Mustofa
Walisongo Journal of Information Technology Vol 1, No 2 (2019): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2019.1.2.4529

Abstract

Kitab kuning merupakan kitab tradisional yang mengandung diraasah islamiyah yang diajarakan pada pondok pesantren, mulai dari struktur bahasa arab (ilmu nahwu dan shorof), ‘ulumul qur’an, hadits, aqidah, tasawuf/akhlaq, tafsir, fiqh sampai ilmu sosial dan kemasyarakatan (mu’amalah).  Disebut juga dengan kitab gundul karena tidak memiliki harakat (fathah, kasroh, dhammah, sukun) untuk bisa membaca dan memahami secara menyeluruh dibutuhkan waktu yang relatif lama. Penelitian ini bertujuan untuk mendapatkan model klasifikasi dari data pembelajaran kitab kuning di pondok pesantren. Metode yang digunakan dalam penelitian ini adalah forward selection sebagai praproses dalam mengurangi dimensi data, menghilangkan data yang tidak relevan dan naive bayes yang berguna untuk mengklasifikasi data. Hasil dari klasifikasi data pembelajaran kitab kuning menggunakan atribut yang telah diklasifikasi berdasarkan fitur-fiturnya dan dilakukan iterasi pada cross validation sehingga menghasilkan akurasi yang tepat. Berdasarkan hasil pengujian dengan dua metode, pengujian dengan algoritma Naive bayes saja menghasilkan akurasi 96,02%, untuk algoritma Naive bayes berbasis forward selection menghasilkan akurasi 97,38% . Terdapat peningkatan akurasi dengan penambahan fitur seleksi.
Co-Authors Adzhal Arwani Mahfudh Adzhal Arwani Mahfudh Adzhal Arwani Mahfudh Alfian Hidayat Ali, Thooriq Nur Azziizah, Almira Farradinda Danita Divka Sajmira Divana Taricha Salmalina Fauzan, Roman Fayza Nayla Riyana Putri I Gede Wyana Lokantara . Imtias, Muhamad Bunan Indra Abdam Muwakhid Khoirul Adib Khothibul Umam Kustomo Lulu Choirun Nisa Mahfudh, Adzhal Arwani Masuzzahra, Tsaura Rafah Masy Ari Ulinuha Maya Rini Handayani Nur Cahyo Hendro Wibowo Nur Khasanah Nuurun Najmi Qonita Putri, Amiliya Putri, Indira Alifia Roman Fauzan Salsabila, Yusrina Ilmi Stefanus Widhiatmoko Subowo, Moh Hadi Syaiful Bakhri Syaiful Bakhri Syaiful Bakhri Thooriq Nur Ali