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Journal : The Indonesian Journal of Computer Science

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Perbandingan Algoritma K-Means dan K-Medoids untuk Pengelompokan Program BPJS Ketenagakerjaan Meiriza, Adellia; Ali, Edwar; Rahmiati; Agustin
The Indonesian Journal of Computer Science Vol. 12 No. 2 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i2.3184

Abstract

BPJS Ketenagakerjaan bertugas menyelenggarakan program jaminan sosial bagi para pekerja di Indonesia, seperti Jaminan Kecelakaan Kerja, Jaminan Hari Tua, Jaminan Pensiun, Jaminan Kematian, dan Jaminan Pemeliharaan Kesehatan. Pengelompokan program bukan penerima upah dapat menggunakan metode clustering. Dalam penelitian ini, peneliti membandingkan dua algoritma clustering yaitu K-Means dan K-Medoids untuk mengelompokkan program bukan penerima upah berdasarkan karakteristik yang dimiliki. Data yang digunakan dalam penelitian ini diperoleh dari BPJS Ketenagakerjaan cabang pekanbaru. Pengelompokan dilakukan dengan menggunakan jumlah cluster yang sama untuk kedua algoritma yaitu K = 3. Hasil dari penelitian menunjukkan bahwa K-Medoids menghasilkan kelompok yang lebih stabil dan robust dibandingkan dengan K-Means. Hasil nilai DBI menunjukkan bahwa K-Medoid lebih baik dari K-Means. Hasil ini dapat dijadikan rekomendasi kepada pendaftar yang akan mengambil program BPJS Ketenagakerjaan selain itu penggunaan K-Medoids sebagai algoritma clustering lebih efektif dibandingkan K-Means untuk pengelompokan program bukan penerima upah.
OPTIMALISASI KINERJA KLASIFIKASI TEKS BERDASARKAN ANALISIS BERBASIS ASPEK DAN MODEL HYBRID DEEP LEARING Salsabila Rabbani; Agustin; Susandri; Rahmiati; M. Khairul Anam
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4034

Abstract

The conflict between Palestine and Israel has generated strong debates and reactions on social media, including in Indonesia. Public perception of various aspects is certainly important to identify issues in the Palestinian-Israeli conflict. However, the process of manually classifying aspects of the Palestinian-Israeli conflict requires human resources and considerable time. This research aims to explore the views of Indonesians on the Palestinian-Israeli conflict through sentiment analysis based on aspects of Territory, Religion, Politics, and History. Using deep learning technology, specifically a combination model of Convolutional Neural Networks with Long Short-Term Memory (CNN-LSTM), this research analyzes opinion and views data collected from X social media platform (Twitter). This research shows the results of the dataset obtained that the Political aspect dominates more than other aspects. The model evaluation results obtained an accuracy value of 96%, which indicates that the model's ability to classify X users' sentiments towards the Palestinian-Israeli conflict achieved a high level of success.
Co-Authors Abdul Razzaq Abdul Syaban Abdul Walid Abel Tasman Agustin Ainal Mardhiah Ambo Dalle Aminuddin Amisbah Ramly Anam, M Khairul Andi Kamal Ahmad Andi Rezal Juhari Angela, Leliana Maria Ani Purwati Anis Mahatika Anisa Taqwina Annisa Zalsabillah Astutik, Trining Puji Aulia, Aulia Baharuddin Semmaila Chairil Hamdani Chairuddin Chairuddin Chendrasari, Julian Cibro, Sania Cut Nuraini Dani Octa Melani Dasrita, Joni Edwar Diah Ayu Lestari, Diah Ayu Edwar Ali Edwin Musdi Ega Ranaldi Pebriansyah ENDRI ENDRI Ernawati Fauzi Ahmad Muda Ferdinand Susilo Fitriyah Sulaeman, Nurul Guntur Arie Wibowo, Guntur Arie Hamsa Hasan Maksum Hasanah Herdiansyah Hisbullah Husnani Aliah Ika Parma Dewi Indra Saputra Intan Witari Isfanda Jamilus Jasrudin Juari, Iskandar Julian Chendrasari Junadhi Junadhi Kumaladewi, Yuliana Lala laman, ilham Lambang Subagiyo Lapisa , Remon M. Jamaris Machdalena Makdin, Hoirol Anuar bin Maksum , Hasan Manulang, Fatma Riskiya Mardainis Maria Tinambunan, Eva Martinus Tanga Lero Maulana, Nurul Shalsadila Meiriza, Adellia Miswardi Muda, Sultan Iskandar Muhammad Amin Muhammad Giatman Muhammad Sobih Munawarah, St. Rukmana Ratu Murni Astuti Mustafa, Adriana Muzakkir Nasution, Jamilah Nasution, Syarif Hidayatullah Nur Annisa Nur Ulmy Mahmud Nurfaidah Nurhafni Nurmiati Nurul Suci Hudayana Nurwati, Solikah Oktarina, Rahmi Paradila, Dinda Puspa Sari Rahmad Sujud Hidayat Rahmad Sujud Hidayat3 Rahmat Kurniawan Rahmawati Budi Mulyani Ramadhan, Naufal Ilham Ratna Kartika Irawati Refdinal Remon Lapisa Rezki Farino Zen Rifka Safira Rini Apriyeni Rizky Aulia, Rizka Amalia Mustapa ROMIATY Rosalina, Linda rsnarzk, Rasnawati Rusman Safira, Rifka Sahiran Saiful Salsabila Rabbani Samiruddin Samsuar Sanjaya, Sendi Saputri, Yesi Kasma Sarie, Fatma Satiadharmanto, Deddi Fasmadhy Setiana, Diana Sinukaban, Veronica Yulisna Sippah Chotban Sisca Arianingtyas Sofyan Sujariati Sulaeman, Maman Suriaman Suriaman Susandri, Susandri SUSANTI Syarifah Farissi Hamama Tendriandi, Rudi Tobing, Dhea Fathanah Lbn Trias Saputra Triyani Arita Fitri Ulfa Sulaeman Ulfah, Sri Mujiarti Umar Sulaiman Usman Veronika Yulisna Sinukaban Wadi, Fajrul Widia Novitaningsih Widodo, Yuda Wijaya, Sella Monica Winarty, Asih Yuliana Yuliana Zahra Zegita Zulaika, Tatik Zulida, Evi