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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Journal of Industrial Engineering Inspiration
Hidayah, Rizki
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Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Sentiment Analysis of Social Media X in the 2024 Indonesian Presidential Election Using the Naive Bayes Algorithm: Candidates' Backgrounds and Political Promises Prayudani, Santi; Situmorang, Dita Rouli Basa; Hidayah, Rizki; Ginting, Heri Sanjaya
Journal of Applied Informatics and Computing Vol. 8 No. 2 (2024): December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i2.7580

Abstract

In 2024, Indonesia holds a presidential election, and the candidates are making promises to each other to attract voters. Many people gave their opinions on X. This study uses the Naïve Bayes algorithm to analyze the sentiment of these tweets, with the aim of understanding the background of the candidates and their campaign promises. Data is collected from X by crawling technique, then data is pre-processed, trained using Naïve Bayes model, and evaluated for accuracy. Sentiments in tweets were classified as positive, negative, or neutral. The results showed that the Prabowo Subianto - Gibran Rakabuming Raka pair was the most talked about with 1005 tweets, followed by Anis Rasyid Baswedan - Muhaimin Iskandar with 707 tweets, and Ganjar Pranowo - Mohammad Mahfud M.D. with 572 tweets. The Prabowo Subianto - Gibran Rakabuming Raka pair received the most positive sentiment, which was 446 more than the other candidates.
OPTIMALISASI TRANSFER MATERIAL MESIN INJECTION MELALUI METODE DMAIC UNTUK MENGATASI VARIASI DIMENSI MATERIAL RECYCLE Hidayah, Rizki; Hamdani; Sasmita, Yudi; Putra, Fahreza
Journal of Industrial Engineering Inspiration (JIEI) Vol 1 No 1 (2025): JIEI May 2025
Publisher : Yayasan Inspirasi Bermanfaat Selamanya / Inspirasi Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66152/jiei.v1i1.23

Abstract

Material transfer error pada mesin injection 850T menyebabkan downtime produksi yang tinggi, dengan frekuensi gangguan mencapai 16 kali per bulan dan total downtime 268 menit. Penelitian ini bertujuan meningkatkan stabilitas dan efisiensi sistem transfer material menggunakan metode DMAIC. Analisis menunjukkan bahwa 60% material recycle memiliki ukuran lebih dari 6 mm, yang berkontribusi terhadap penyumbatan jalur transfer dan ketidakkonsistenan distribusi material. Untuk mengatasi masalah ini, diterapkan revisi inspection sheet serta sistem kontrol input material, yang meningkatkan rasio stabilitas transfer dari 98.73% menjadi 100%, serta rasio material recycle ≤6 mm dari 40% menjadi 99%. Selain itu, penerapan fitur Smart Idle Automation menghasilkan penghematan energi hingga Rp 1.936.000 per bulan, meningkatkan efisiensi konsumsi daya dalam proses produksi. Perbaikan ini tidak hanya mengoptimalkan keandalan sistem manufaktur tetapi juga berkontribusi terhadap kelancaran suplai bahan baku dan pengurangan variabilitas proses produksi
Co-Authors Ginting, Heri Sanjaya Hamdani Prayudani, Santi Putra, Fahreza Sasmita, Yudi Situmorang, Dita Rouli Basa