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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research ILKOM Jurnal Ilmiah Computer Based Information System Journal Jurnal Teknik Mesin Jurnal Ilmu Komputer dan Bisnis Jurnal Ekonomi Manajemen Sistem Informasi Indonesian Journal of Social Work Journal of Applied Data Sciences Jurnal Cahaya Mandalika International Journal of Computer and Information System (IJCIS) International Journal of Engineering, Science and Information Technology Djtechno: Jurnal Teknologi Informasi Jurnal Tika Jurnal Info Sains : Informatika dan Sains Malikussaleh Journal of Mechanical Science Technology Jurnal Ilmiah Kebijakan dan Pelayanan Pekerjaan Sosial (Biyan) J-Intech (Journal of Information and Technology) Jurnal Minfo Polgan (JMP) Jurnal Puan Indonesia Journal International of Lingua and Technology JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal Desain dan Analisis Teknologi Innovative: Journal Of Social Science Research Priviet Social Sciences Journal Jurnal Pengabdian Ibnu Sina Journal of Society Bridge JIM: Jurnal Ilmiah Mahasiswa Pendidikan Sejarah Jurnal Pengabdian Barelang Jurnal Sistem Informasi dan Manajemen Jurnal Accounting Information System (AIMS) Jurnal Polimesin Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
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Journal : Jurnal Tika

Klasifikasi Hasil Penjualan Minuman Ringan Pada Koperasi Berdasarkan Jenis Barang Menggunakan Algoritma K-Means Clustering Situmorang, Awaljan; Tukino, Tukino; Novalia, Elfina; Ahmad, Sandi
Jurnal Tika Vol 7 No 3 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v7i3.1565

Abstract

The joint cooperative store is one of the efforts given by the joint cooperative management to increase cooperative income by calculating profits every year and distributing them to cooperative members in the form of money, commonly known as SHU or the remaining results of operations. However, there are still shortcomings in the implementation of cooperative sales management, one of which is the sale of soft drinks. There are still errors in determining the high and low volume of beverage sales. This research will help cooperative managers to categorize beverage sales data so that customer demand for soft drinks can be fulfilled properly. The data collected from January 2020 to September 2022 is the sale of 11,945 drinks from 15 soft drinks at the Koperasi Bersama store. This research aims to group the sales recapitulation results into a cluster using a data mining approach using the K-Means clustering algorithm. Grouping sales data according to its characteristics. The results of this study indicate that 1 soft drink is included in cluster 0 which is classified as high sales volume, while 14 soft drinks are included in cluster 1 which is classified as low sales volume.
Clustering User Sentiment Transportasi Online Gojek Dan Grab Dengan Metode K-Means Annam, Dyno Syaiful; Hananto, Agustia; Nurapriani, Fitria; Tukino, Tukino
Jurnal Tika Vol 8 No 2 (2023): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v8i2.2165

Abstract

As an online transportation service, people often discuss it by sharing their opinions through various social media platforms, one of which is Google Play reviews. The opinions given by the public regarding online transportation services are diverse. Users provide reviews about the application, and naturally, users will choose an application with good reviews. However, monitoring the opinions of the general public is not easy, given the large volume of data to be processed. Therefore, the researcher aims to obtain accurate and precise information from user reviews of Gojek and Grab using clustering techniques, specifically the K-means method, using the RapidMiner application. The results of the testing of both applications can be summarized as follows: Gojek and Grab receive reviews that are not significantly different, although Grab's reviews are slightly better. The classification using the K-Means method offers a solution to the issue of sentiment analysis in user reviews of online transportation applications.
Co-Authors AA Sudharmawan, AA Agustina, Alvi Ahmad, Sandi Ahnaf, Naufal Zubdi Akbari, Wahyu Azriel Akmal, Khafid Khaulsar Alfiah, Agry Alfiansyah, Muhammad Rindra Algifanri Maulana, Algifanri Amalia Amalia Amrizal Amrizal Angeli, Alvin Annam, Dyno Syaiful Apriani, Fitria April Lia Hananto Arif Rahman Hakim Aripiyanto, Saepul Arnomo, Sasa Ani Arsyad, Fachry Aulia, Aldi Azwanti, Nurul Baru Harahap Berkah*, Kamila Catur Nugroho ceni kirani valensyah Danny Manongga Deddy Prihadi Dede Kuswanda Dien Noviany Rahmatika Dzulqarnain, Fahmi Eichler, Luiz Elisa, Erlin Fadli, Muhammad Abil Faisal, Sutan Fajrin, Alfannisa Fauzi Ahmad Muda Ferdiansyah, Indra Fifi, Fifi FIKRI HAIKAL Guntur, Muhamad Hananto, Agustia Handayani, Citra Handoko, Koko Harman, Rika Hartono Wijaya, Sony Hendry Hilabi, Shofa Shofiah Hindriyanto Dwi Purnomo Huda, Baenil I Gede Iwan Sudipa Irawan, Bei Harira Irwan Sembiring Iwan Setiawan Jasmine Dina Sabila Karyadi Karyadi Kurnia, Nisa Kusuma P, ⁠Shafira Putri Leony, Alvina Lindo, Junius Manalu, Soli Vernika Mildawati, Milly Muammar Khaddafi Mubarok, Piky Muhammad Nuzan Rizki Muhammad, Daniel Muslih, Muhamad Nahampun, Mawi Nanda, Rizki Aulia Nofriani Fajrah, Nofriani Novalia, Elfina Novaria, Rachmawati Nurapriani, Fitria Oganda, Decut Della Pandiangan, Satria Patya, Dhea Intan PERNANDO, Pernando Pratama, Daffa Agung Pratiwi, Mutiana Priatna, Bayu Priyatna, Bayu Purba, rehni jayana Purnomo, Andromedo Cahyo Putria, Narti Eka Ramadhan, Muhammad Faiz Reswara, Hadaya Abhista Rivai, Samuel Samosir, Epa Prima Melina Sari, Fitria Ratna Sari, Nilah Wati Indra Nur Meinda Sari Sarjon Defit Setianingsih, Krisna Dewi Sianturi, Nico Bangun Rezkyanto Silva, Tiago Simanjutak, Pastima Siregar, Amril Mutoi Situmorang, Awaljan Soleman, Soleman Sri Wahyuni Subarkah, Ade Suhara, Ade Sukoco, Dwi Heru Sulestra, Ikhwan Sumijan Sumijan Syahril Effendi Syelfiyananda, Syelfiyananda Tiodora, Jeremy Tjong Wan Sen Triandy, Oky Versanudin Hekmatyar Wibisosno, Eko Gunawan Wong, Hendri Yana Cahyana Yohanna Siahaan, Winda Yuhandri Yuhandri, Yuhandri Zetli, Sri Zulkifli, Mohamad