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All Journal Analisis: Jurnal Studi Keislaman Al-Adyan: Jurnal Studi Lintas Agama JELL (Journal of English Language and Literature) STIBA-IEC Jakarta JURNAL TEKNIK Riayah: Jurnal Sosial dan Keagamaan Jurnal Manajemen Riset Inovasi Khazanah Theologia
Zaenal Muttaqien
Politeknik Negeri Media Kreatif, Jakarta
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Perbandingan Model Machine Learning dalam Memprediksi Churn Pelanggan Telekomunikasi Santo Dewatmoko; Nadia Rizky Vindiazhari; Zaenal Muttaqien
Jurnal Manajemen Riset Inovasi Vol. 4 No. 2 (2026): Jurnal Manajemen Riset Inovasi
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/mri.v4i2.8976

Abstract

This study examines customer churn prediction in subscription-based telecommunications from a digital marketing perspective using machine learning. The analysis utilizes a secondary dataset of 7,043 customer records that simulate behavioral, contractual, and financial attributes commonly found in telecom services. Three classification algorithms Logistic Regression, Random Forest, and Gradient Boosting are applied to model churn behavior. Data preprocessing includes handling missing values, encoding categorical variables, and splitting data into training and testing sets. Model performance is evaluated using accuracy, recall, and ROC-AUC, with emphasis on recall due to its importance in identifying at-risk customers. The results show that Gradient Boosting achieves the highest overall performance with an ROC-AUC of 0.84, while Logistic Regression provides relatively higher recall. Key drivers of churn include short-term contracts, higher monthly charges, and lower service engagement. However, recall remains moderate, indicating limitations in capturing complex behavioral factors. These findings suggest the need to combine predictive models with behavioral insights and highlight the importance of early customer engagement and long-term retention strategies.
Optimalisasi Jumlah Pekerja Pada Sub Unit Water Treatment & Sanitasi dengan Metode WLA dan NASA TLX Lestari, Sri; Febryanti, Aisyah Eka; Muttaqien, Zaenal; Oktarian, Andri
Jurnal Teknik Vol. 14 No. 1 (2025): Januari - Juni 2025
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jt.v14i1.12880

Abstract

AbstractWater treatment and sanitation is one part of Operational maintenance at PT Angkasa Pura Solusi engaged in repair and maintenance services for water treatment and sanitation equipment. This study aims to measure workload and optimise the number of personnel in the Water treatment and sanitation subunit at PT Angkasa Pura Solusi, Terminal 3 Soekarno-Hatta Airport. By using the Workload Analysis (WLA) and NASA-TLX methods. Workload Analysis (WLA) method to analyse workload based on the level of productivity of personnel, and NASA-TLX to assess mental workload based on six dimensions. The results showed that the average workload experienced by Water treatment and sanitation personnel was 82.28 using the NASA-TLX method and the workload analysis value was 109%. Where both values lead to an overload burden experienced by personnel. By optimising the number of personnel through additional manpower and appropriate division of tasks is expected to improve the efficiency and welfare of personnel. The findings provide a recommendation to periodically evaluate and adjust the number of workers as well as adjustments to the workload distribution to ensure optimal operational performance and better worker welfare.Keywords: Workload Analysis (WLA), NASA-TLX, Work Sampling, Workload, worker optimization AbstrakWater treatment dan sanitasi merupakan salah satu bagian dari Operational maintenance yang ada pada PT Angkasa Pura Solusi bergerak dibidang jasa perbaikan dan perawatan peralatan Water treatment dan sanitasi. Dalam penelitian ini bertujuan untuk mengukur beban kerja dan mengoptimalkan jumlah personil pada subunit Water treatment dan sanitasi di PT Angkasa Pura Solusi, Terminal 3 Bandara Soekarno-Hatta. Dengan menggunakan metode Workload Analysis (WLA) dan NASA-TLX. Metode Workload Analysis (WLA) untuk menganalisis beban kerja berdasarkan tingkat produktifis personil, dan NASA-TLX untuk menilai beban kerja mental berdasarkan enam dimensi. Hasil penelitian menunjukkan rata-rata beban kerja yang dialami oleh personil Water treatment dan sanitasi adalah sebesar 82,28 dengan menggunakan metode NASA-TLX dan nilai workload analysis adalah 109%. Dimana kedua nilai tersebut mengarah pada adanya overload beban yang dialami personil. Dengan mengoptimalkan jumlah personil melalui penambahan tenaga kerja dan pembagian tugas yang sesuai diharapkan dapat meningkatkan efisiensi dan kesejahteraan personil. Temuan ini memberikan rekomendasi untuk melakukan evaluasi dan penyesuaian jumlah pekerja secara berkala serta penyesuaian pada distribusi beban kerja guna memastikan kinerja operasional yang optimal dan kesejahteraan pekerja yang lebih baik. Kata Kunci: Workload Analysis (WLA), NASA-TLX, Work Sampling, Beban kerja, optimasi pekerja
Co-Authors Abdul Rohim, Abdul Afita, Anggit Asnea agus Sulaeman Arsyad Sobby Kesuma Arsyad Sobby Kesuma Ayu Kristina Badruzaman Badruzaman Badruzaman Badruzaman Badruzaman, Badruzaman Elpandari, Wanda Ayu Febryanti, Aisyah Eka Hasan Rifai, Epi Iin Yulianti, Iin Kiki Muhamad Hakiki Kiki Muhamad Hakiki Kristina, Ayu Nadia Rizky Vindiazhari oktarian, Andri Pratiwi, Cesa Septiana Ratu Vina Rohmatika, Ratu Vina Rufi'i Santo Dewatmoko Sri Lestari