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All Journal Infotek : Jurnal Informatika dan Teknologi SmartComp Jurnal PRINTER : Jurnal Pengembangan Rekayasa Informatika dan Komputer Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat)
Almi Yulistia Alwanda
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science

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Perbandingan Metode Random Forest dan KNN pada Analisis Sentimen Twitter Dwi Ahmad Dzulhijjah; Hafidz Sanjaya; Aji Said Wahyudi Hidayat; Almi Yulistia Alwanda; Ema Utami
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 3 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i3.5106

Abstract

Twitter menjadi salah satu platform media sosial yang sering digunakan untuk menyampaikan berbagai keresahan terhadap berbagai permasalahan yang ada termasuk dengan program-program yang dibuat oleh pemerintah. Tweets adalah salah satu layanan yang disediakan kepada penggunanya dimana tweets ini berisi ungkapan pendapat pengguna yang dapat juga dibaca oleh pengguna lain. Pada penelitian ini dilakukan perbandingan antara dua algoritma klasifikasi yaitu Support Vector Machine dan K-nearest Neighbor dari segi akurasi. Perbandingan ini tidak lain bertujuan untuk mengetahui algoritma klasifikasi mana yang dapat menghasilkan akurasi terbaik dalam mengklasifikasi analisis sentiment data twitter. Setelah dilakukan pengujian dan evaluasi didapatkan hasil akurasi dari algoritma SVM sebesar 83% dan KNN sebesar 49%. Kata Kunci: Analisis Sentimen; KNN; Support Vector Machine
Analisis Klasifikasi Konsentrasi Mahasiswa Menggunakan Algoritma K-Nearest Neighbor alwanda, Almi yulistia; Ema Utami; Ainul Yaqin
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 2 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i2.27084

Abstract

Hamzanwadi University located in West Nusa Tenggara boasts a Faculty of Engineering, which plays a pivotal role in delivering top-notch higher education. This faculty offers four highly coveted programs—Informatics Engineering, Information Systems, Computer Engineering, and Environmental Engineering—that attract a significant number of students. The increase in enrollment in these programs underscores the faculty's success, particularly owing to the promising job opportunities in these fields. Nevertheless, students often encounter intricate challenges when selecting their area of specialization that resonates with their interests and capabilities. In addressing this concern, the Faculty of Engineering at Hamzanwadi University provides diverse concentration options like Data Science, RPL, and Multimedia. To aid students in making informed decisions regarding their study concentration, this study employs the K-Nearest Neighbor (KNN) algorithm to analyze the classification of student concentrations. This research adopts an experimental approach and utilizes data collection methods such as observation, interviews, and surveys. The dataset comprises seven attributes including NIM, Gender, GPA, Data Science Course Grade, RPL Course Grade, and Multimedia Course Grade, processed using the KNN algorithm through Google Colab. The research outcomes reveal that with k=2 and 8-fold cross-validation, the achieved accuracy stands at 67%.
Pengembangan Media Pembelajaran Ke NWDI-An Berbasis Mobile Putra, Yupi Kuspandi; Muh. Adrian Juniarta Hidayat; Fathurrahman; Almi Yulistia Alwanda; Ahmad Firdaus
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28462

Abstract

The rapid development of information and communication technology (ICT) has brought significant changes in various aspects of life, including in the field of education.  The need for effective and efficient learning media is increasingly urgent along with demands to improve the quality of education that is relevant to current developments. However, there are still several obstacles such as the lack of active role of students in the learning process and the limited learning media used. Learning resources in presenting material still use PowerPoint slides which are not yet interactive, resulting in a lack of student interest in learning. Therefore, this research aims to develop learning media, to support a more effective and interactive teaching and learning process. The method used in this research is Research and Development with the ADDIE model (Analyze, Design, Development, Implementation, and Evaluation) which is a teaching design system that is centered on individual learning, has immediate and long-term phases, is systematic, and uses a systems approach to knowledge. and human learning. The result of this research is a mobile-based learning media application with the hope that it can help increase students' understanding and interest in learning in NWDI courses, especially at the Faculty of Engineering, Hamzanwadi University.
Analisis Faktor yang Mempengaruhi Penjualan ChicKen Menggunakan Algoritma Apriori nurhidayati, nur ida; Isnaeni, Mul; Fathurrahman, Fathurrahman; Yulistia Alwanda, Almi
Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer Vol. 3 No. 1 (2025): Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jprinter.v3i1.30976

Abstract

Dunia bisnis telah mengalami perubahan besar karena kemajuan teknologi informasi yang pesat, terutama dalam pengolahan dan analisis data. Data mining adalah salah satu teknologi yang berkembang pesat. Penerapan data mining sangat penting untuk memahami perilaku, dan pola pembelian serta minat belanja konsumen lebih baik,dengan lebih cermat, yang pada akhirnya dapat meningkatkan strategi penjualan dan pemasaran. ChicKen adalah ayam potong Taiwan yang ada di Indonesia. Makanan ini berbasis Taiwan Street Food yang menawarkan menu daging ayam di iris tipis dengan dibalut tepung, kemudian digoreng dan disajikan dengan cara dipotong, dan diberi bumbu tabur / saus. Sebagai bisnis yang bergerak di bidang kuliner, ChicKen menghadapi tantangan untuk memahami preferensi dan kebiasaan konsumsi pelanggannya, ditambah ChicKen menghadapi persaingan kuliner yang semakin ketat pada saat ini. Maka persaingan yang ketat itulah yang membuat owner ChicKen berinovasi terhadap Outlet ChicKen tersebut. Dalam hal ini penulis pemrosesan data mining menggunakan Algoritma Apriori. Algoritma ini biasanya digunakan untuk mengetahui hubungan atau asosiasi antara satu item dengan item yang lain dalam suatu dataset. Dengan menggunakan algoritma ini akan dilakukan analisis untuk memperoleh informasi terhadap data penjualan minat beli costumer ChicKen, Setelah uji coba penelitian yang dilakukan terhadap sampel data penjualan dalam beberapa bulan yaitu dari bulan Mei – Agustus tersebut dapat diperoleh hasil dari pengolahan data yaitu dengan nilai confidence tertinggi sebanyak 92% dari hasil kombinasi 3 itemset, dengan itemset antara lain Ekstra Hot – Barbeque Bubuk – Balado, dan Sapi Panggang – Barbeque Bubuk – Balado. Sedangkan nilai confidence dari kombinasi 2 itemset dengan nilai tertinggi sebanyak 89% dengan itemset yaitu Barbeque Bubuk – Balado.
Pelatihan Jaringan Berbasis Mikrotik Untuk Peningkatan Kompetensi Siswa kelas XI di SMKN 1 Pringgasela Amri Muliawan Nur; Hariman Bahtiar; Yahya; Nurhidayati; Almi Yulistia Alwanda; Amir Bagja
Jurnal Teknologi Informasi untuk Masyarakat Vol. 2 No. 2 (2024): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v2i2.28380

Abstract

Computer networks are one of the important subjects in the field of information technology. Various types of computer network devices continue to innovate to adapt to technological developments. Mikrotik is one of the router products that is widely used to implement a network system. As an educator, in this case a lecturer is required to implement the Tri Darma every year, one of which is PKM, namely Community Service, which this year is focused on the Computer Department at SMKN 1 Peringgasela. The aim of this training is to increase understanding and competence in the field of computer networks using Mikrotik, and to prepare students to face the Skills Competency Examination (UKK) as well as providing preparation for the implementation of the PSG and when they graduate. The training methods used are lectures and practice (Demostration). The results of this training activity in general, apart from the enthusiasm and enthusiasm of the students, include several components, namely: 1) Success in training, 2) Achievement of planned research objectives, 3) Achievement of planned material targets
Co-Authors Ahmad Firdaus Aji Said Wahyudi Hidayat Amir Bagja Bahtiar, Hariman Dwi Ahmad Dzulhijjah Ema Utami Fathurrahman Fathurrahman Fathurrahman Hafidz Sanjaya Hafidz Sanjaya, Hafidz Isnaeni, Mul Muh. Adrian Juniarta Hidayat Nur, Amri Muliawan Nurhidayati nurhidayati, nur ida Tamaulina Br Sembiring Yahya Yupi Kuspandi Putra