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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika Conference on Innovation and Application of Science and Technology (CIASTECH) KEUDA : JURNAL KAJIAN EKONOMI DAN KEUANGAN DAERAH JOISIE (Journal Of Information Systems And Informatics Engineering) JMECS (Journal of Measurements, Electronics, Communications, and Systems) An International Journal Tourism and Community Review Jurnal Ilmu Siber Jurnal Informatika
Haq, Fesa Asy Syifa Nurul
Universitas Siber Asia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Other

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PENERAPAN ALGORITMA K-NEAREST NEIGHBOUR (K-NN) SEBAGAI KLASIFIKASI TWEETS PADA TWITTER Hassolthine, Cian Ramadhona; Sahara, Riad; Haq, Fesa Asy Syifa Nurul; Abdullah, Syahid
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 7 No 2 (2023)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v7i2.3975

Abstract

Seiring berkembangnya teknologi yang begitu pesat dalam melakukan pengumpulan data mengakibatkan sebuah tumpukan data yg sangat banyak. Melalui banyaknya data tersebut,sehingga menjadi suatu kebutuhan untuk memanfaatkan data tersebut. Pemanfaatan data tentunya bertujuan agar menerima berita yg krusial dari pola-pola data yang terbentuk. Data yang bisa digunakan dapat diperoleh dari media sosial, salah satunya twitter. Twitter merupakan media sosial yang tercatat kurang lebih 50 juta orang pengguna di Indonesia. Dengan banyaknya pengguna di Indonesia, maka dapat dimanfaatkan dalam penggunaan data yang banyak. Untuk mendapatkan data tersebut yaitu dengan salah satu algoritma K-Nearest Neighbor. Algoritma KNN merupakan klasifikasi terhadap sekumpulan data berdasarkan pembelajaran data yang sudah terklasifikasikan sebelumya. Hasil klasifikasi dari Algoritma KK yaitu data yang sudah diolah masuk ke dalam kelas B karena dari tiga tetangga terdekat, ada dua yang masuk kelas B, sementara hanya satu yang masuk kelas A. Akurasi yang dihasilkan oleh Algoritma KNN juga cukup baik yaitu di atas 80%. Model ini memberikan sensitivity yang lebih baik dalam proses klasifikasi data.
Academic Information System on The Prince Jayakarta Junior High School Student Assessment System Fesa Asy Syifa Nurul Haq; Vika Febri Muliati; Abdu Rahman; Muhammad Zarlis; Ucuk Darusalam; Nurhayati Siregar
Jurnal Informatika Vol. 12 No. 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/

Abstract

Information technology has supported the development of quality school services throughout the world. However, there are still many schools that have not used it optimally, especially in Indonesia, for example at Prince Jayakarta Bekasi Middle School. As in general, schools only use Ms. Word and Ms. applications . Excel. This resulted in different assessment formats and errors when filling in grades into the report card format. The academic information system application developed in this study uses the PHP, HTML, and MySQL programming languages and is named SIAP, which means eighteen academic information systems. The purpose of making this application is so that students / parents of students can receive school assessment information in a precise, fast and accurate manner. Teachers can also use the facility to process student scores so that they are well integrated and summarized as data for the Principal to make policies. This application can be opened on any browser platform, making it easier for users to access it anywhere and anytime.
Introduction to Numbers in Mobile-Based For Early Childhood Muliati, Vika Febri; Haq, Fesa Asy Syifa Nurul; Zarlis, Muhammad; Darusalam, Ucuk; Rahman, Abdu
Jurnal Informatika Vol. 13 No. 1 (2026): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v13i1.11719

Abstract

Child age early in the current era This faced on Lots existing technology environment around , among them is cellphone , television , And computer . Application multimedia capable interesting attention And interest student in the learning process Because served in form picture as well as animation , proven by 80% from 26 respondent agreed matter the . Wrong One ability Which currently develop moment age early is ability speak . Child age early demanded For can quick learn And understand numbers . But problem Which happen moment this , Still Lots child age early Which Still difficult in do learning For know numbers . No only it , still Lots also parents who still difficulty in do teaching because that child not enough interested with the learning process . By Because it , build it system application introduction letter And number For child age Early with utilise Visual. Keyword — Child  Early Age , Introduction numbers , Visual.
Co-Authors Abdu Rahman Anna’im, Moh Armansyah, Syahrul Nur Chris Drake Cian Ramadhona Hassolthine Haryanto, Ahmad Helda Ariska Indriani, Melati Jayanti, Novi Trihadi Julia, Ovi Karang, Alexander Gego Kurniati Asmar, Kurniati Lukman Medriavin Silalahi Muhammad Zarlis Muhammad Zarlis, Muhammad Muliati, Vika Febri Novi Trihadi Nurhayati Siregar Nurhayati Siregar, Nurhayati Nuryuliani Nuryuliani Nyi Mas Mia Rahmawati Oktavia, Ajeng Diar Rachel Intania Rifany Rahman, Abdu Riad Sahara Rosanah Rosanah Rumbaman, Wulan Nursyifa Suci Resmiyati Syahid Abdullah Tjania Octaviyanti, Putri Ucuk Darusalam Vani Avrilia Puspitaningrum Vika Febri Muliati Vika Febri Mulyati Wahyu Purbo Santoso Widodo, Arman