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Implementasi Simple Additive Weighting Untuk Rekomendasi Karir Mahasiswa Berdasarkan Hasil Tes Psikologi
Moh Nur Iman Siyus Setyowati
; Dihin Muriyatmoko
; Eko Prasetio Widhi
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
Career selection is an important process for students at Darussalam Gontor University (UNIDA) because it influences their academic development and future employment. However, many UNIDA students experience difficulties in determining suitable careers due to a lack of understanding of their psychological characteristics. This study aims to build a Decision Support System (DSS) for career recommendations for UNIDA students based on psychological test results using the Simple Additive Weighting (SA...
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Analisis Sentimen Publik pada TikTok terhadap Rencana Penerapan Sistem Balik Nama Ponsel Bekas menggunakan Naive Bayes dan Support Vector Machine
Afif Lustyo Muji
; Aziz Musthofa
; Dihin Muriyatmoko
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
Since the announcement of the policy plan for a name transfer system in the sale of used mobile phones, the issue has attracted widespread public attention and discussion. People have expressed their opinions on social media platforms, particularly TikTok. This study aims to classify the sentiment of TikTok users using Naive Bayes and Support Vector Machine (SVM) algorithms. The data were collected through a comment scraping technique on related content.The research stages include text preproces...
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Pengembangan Sistem Informasi Persewaan Mesin Vacuum Cleaner Berbasis Web Dengan Metode MVC Pada Toko Akasa Teknik
Zafi Zunaidi Aziz
; Dihin Muriyatmoko
; Eko Prasetio Widhi
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
Pemanfaatan teknologi informasi menjadi kebutuhan penting bagi usaha jasa persewaan untuk meningkatkan efisiensi dan kualitas layanan. Toko Akasa Teknik sebagai usaha persewaan mesin vacuum cleaner masih menghadapi permasalahan dalam pengelolaan data penyewaan, transaksi, dan pelaporan yang dilakukan secara manual sehingga berpotensi menimbulkan kesalahan pencatatan dan keterlambatan informasi. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi persewaan berbasis w...
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Sentiment Analysis of YouTube Comments on Indonesia’s Performance in 2026 World Cup Qualifiers Using Naive Bayes
Dihin Muriyatmoko
; Aziz Musthafa
; Yusuf Al Banna
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
Sentiment analysis on social media is widely used to represent public perceptions of sports performance, particularly in international competitions. This study aims to analyze the sentiment of YouTube user comments regarding the performance of the Indonesian National Football Team during the FIFA World Cup 2026 Asian Qualifiers. The data were collected from user comments on videos related to the matches and analyzed using a machine learning–based sentiment analysis approach. Sentiment classifica...
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Klasifikasi Arah Pengendali Karakter Permainan Berbasis Gestur Badan Menggunakan Hybrid Convolutional Neural Network dan Long Short-Term Memory
Arsyapradana Fadlanabil Bahri
; Oddy Virgantara Putra
; Dihin Muriyatmoko
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
The increasing sedentary lifestyle in the digital era has the potential to cause various health problems due to lack of physical activity. One approach that can be taken to encourage physical activity is through the use of digital games with body movement-based control mechanisms. This study aims to develop a body gesture-based game character control system using a hybrid Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model. CNN is used to extract spatial features from each...
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