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All Journal International Journal of Advances in Applied Sciences Infotech Journal Jurnal Ilmiah FIFO Bina Insani ICT Journal Jurnal Teknik Informatika STMIK Antar Bangsa JURNAL PENDIDIKAN TAMBUSAI Indonesian Journal of Business Intelligence (IJUBI) Jurnal Sistem Informasi dan Informatika (SIMIKA) Akrab Juara : Jurnal Ilmu-ilmu Sosial Jurnal Digit : Digital of Information Technology Abditeknika - Jurnal Pengabdian Kepada Masyarakat Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta Bulletin of Information Technology (BIT) Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Jurnal Pengabdian Kreatif Cemerlang Indonesia Software Development Digital Business Intelligence and Computer Engineering Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif Jurnal Informatika Dan Tekonologi Komputer Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA)
Muhammad Muharrom
Universitas Bina Sarana Informatika
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences Other

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RANCANG BANGUN SISTEM INFORMASI PERPUSTAKAAN PADA SMA ATTAQWA 02 BABELAN BERBASIS WEBSITE Muhammad Muharrom
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 3 (2022): November : Jurnal Informatika dan Teknologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i3.704

Abstract

SMA Attaqwa 02 Babelan is a high school with its address in Babelan District, Bekasi Regency. In ongoing library activities, it is still carried out in a conventional way, which is still taking notes in books and members come directly to the library to find out information about books. Where this activity is considered to still have problems, including limited library operating hours so that students have to go to the library physically to borrow books. The book stock is limited and the current system is not informative, so that when you come to the library to borrow the book you need, the book has not been returned by the previous borrower. The purpose of this study is to analyze the system that is currently running, in order to overcome the problems faced at Attaqwa 02 Babelan High School, by designing a Library Information System Design at Attaqwa 02 Babelan High School Based on Websites. The research framework that will be carried out in solving the problems discussed is identifying, conducting information searches based on theoretical foundations, collecting data using observation and interview methods, analyzing to find solutions to the problems faced by SMA Attaqwa 02 Babelan.
KOMPARASI ALGORITMA KLASIFIKASI NAIVE BAYES DAN K-NEAREST NEIGHBORS DALAM ANALISIS SENTIMEN TERHADAP OPINI FILM PADA TWITTER Muhammad Muharrom
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 1 (2023): Maret : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i1.1147

Abstract

The fact that social media is so unreliable does not prevent Twitter users from using the service. Twitter is one of a few social media platforms that allows users to engage in conversation, share information, or even reveal their true identities, such as when discussing a movie's plot. A tweet or comment about a movie that is posted on Twitter may be viewed as a tool to improve the quality of movie production. To understand this, one can use sentimen analysis to categorize as either negative or positive by comparing the Naive Bayes and k-Nearest Neighbors algorithms to determine which one is the most accurate. The results of the two algorithms' comparative testing reveal that the Nave Bayes algorithm has a higher rata-rata accuracy of 99.63% with an AUC of around 1.000, while the K-NN algorithm has a higher rata-rata accuracy of 99.25% with an AUC of 1.000.
Co-Authors Abiath Cio Achmad Sumbaryadi, Achmad Ade Setiawan Adhitya Pratama Adi Candra, Adi Aditya, Aditya Pratama Afif Saktiansyah Akmaludin Akmaludin, Akmaludin Andika Satria Pratama Arya Putrana Kohan Aulia, Annisa Bimo Hakim Prabowo Bonni Nurtanaya Bonny Mulyawan Chaeroen Niesa Cut Dara Devi, Anggita Sari Dimas Indra Andhika Dwi Yuni Utami Edhi Prayitno Edhi Prayitno, Edhi Ellya Verawati Faiz, Zulfa Al Harmono, Feri Prasetyo Herlawati Herlawati Ibnu Rizki Prayoga Ichwan Agil Prasetyo Jafar, Rhaishudin Rumandan Juarni Siregar Juniar, Muhammad Deva Kadinar Novel KOMALASARI, YULI Kudiantoro Widianto, Kudiantoro M Ramdani M. Fariz A, M. Fariz A M. Raihan Al Ikhsan Moh. Erkamim Muh Maulana Shidiq Muhamad Rafi Hamdani Muhammad Adibul Khoir Muhammad Faseh Maulana Khasanuddin Muhammad Hafiz Andriansyah Musriatun Napiah Nababan, Dina Madelin Nicodias Palasara Nuhdin, Burhan Nunung Hidayatun Rafi Abdul Aziz Rafli Achmad Rizal Wahyu Ramadhan Sah, Andrian Saktiansyah, Afif Samudi Samuel Paul Jackson Simanjuntak Sigit Wibawa Sri Budhi Lestari Tika Adilah M Tirta, Lusi Dara Tri Ramadhanti Victor Parulian Yuli Komalasarii Yuniar, Rivaldi Nazar