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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 Unistek: Jurnal Pendidikan dan Aplikasi Industri Riayah: Jurnal Sosial dan Keagamaan Journal Industrial Manufacturing Jurnal Manajemen Riset Inovasi Khazanah Theologia
Zaenal Muttaqien
Politeknik Negeri Media Kreatif, Jakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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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 : Lembaga Pengembangan Kinerja Dosen

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
Pengukuran Beban Kerja Mental Menggunakan Metode NASA-TLX dan RSME Pada Divisi Engineering Desain CTVT & Dry Type PT. Trafoindo Prima Perkasa Sri Lestari; Citra Mutiara; Zaenal Muttaqien
UNISTEK Vol. 12 No. 2 (2026): Agustus 2025 - Februari 2026
Publisher : UNIVERSITAS ISLAM SYEKH YUSUF TANGERANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/unistek.v12i2.8374

Abstract

PT Trafoindo Prima Perkasa is an electrical transformer manufacturing company with an Engineering Design Division as a key part in supporting the production process, especially for CTVT and Dry Type transformers. However, in the period July?December 2024, a delay rate of 14% of the total 2,508 incoming orders was found in Engineering Job Orders (EJO). This study addresses the issue of high mental workload as one of the factors affecting the effectiveness of EJO implementation. The NASA-TLX and RSME methods were used to measure the mental workload of two engineers directly involved in the design process. The measurement results showed that the level of mental workload was in the high category, with NASA-TLX WWL scores of 82 and 88, and RSME scores of 128 and 120. Root cause analysis using a fishbone diagram and the 5W+1H method showed that the main causes of EJO delays included excessive workload, limited personnel, and deadline pressure. Proposed improvements include additional human resources, periodic workload evaluations, and adjustments to work policies. The results of both measurement methods were consistent, indicating a significant impact of mental workload on EJO delays. Keywords : Mental workload, Engineering Job Order, NASA-TLX, RSME, Fishbone diagram
Optimasi Rantai Pasok Suku Cadang Kritis Perawatan Pesawat Terbang melalui Penerapan Prinsip Lean Manufacturing: Upaya Pengurangan Aircraft Maintenance Down Time di Area Line Maintenance Mukhammad Yusuf Hakim; Zaenal Muttaqien; Ahmad Gustian Hendra Wijaya; Xaverus Johnstone Dapa Keti
Journal Industrial Manufacturing Vol. 11 No. 2 (2026): Journal Industrial Manufacturing
Publisher : Program Studi Teknik Industri Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/he7j5x44

Abstract

In the aircraft maintenance process, the timeliness of maintenance is a crucial factor. Given that aircraft are highly sophisticated modes of transportation, the numerous international regulations governing them, coupled with the high cost of aircraft spare parts, lead many airlines (air operators) to pay close attention to the maintenance of their aircraft at aircraft maintenance, repair, and overhaul (MRO) facilities. The availability of spare parts, maintenance support facilities, and their relationship to aircraft operations are key factors for airlines in conducting feasibility tests and evaluations of an aircraft maintenance facility (MRO). Lean Manufacturing is a system adapted from Japan that is considered highly beneficial for many companies, not only in the manufacturing sector but also increasingly in the aviation industry, particularly within aircraft maintenance processes. Many airlines have complained about the length of maintenance processes, which disrupt operations and can even lead to minor and major incidents.   Keywords: Lean Manufacturing, Aircraft Maintenance, Supply Chain Management, Aviation Logistic.
Co-Authors Abdul Rohim, Abdul Afita, Anggit Asnea agus Sulaeman Ahmad Gustian Hendra Wijaya Arsyad Sobby Kesuma Arsyad Sobby Kesuma Ayu Kristina Badruzaman Badruzaman Badruzaman Badruzaman Badruzaman, Badruzaman Citra Mutiara Elpandari, Wanda Ayu Febryanti, Aisyah Eka Hasan Rifai, Epi Iin Yulianti, Iin Kiki Muhamad Hakiki Kiki Muhamad Hakiki Kristina, Ayu Mukhammad Yusuf Hakim Nadia Rizky Vindiazhari oktarian, Andri Pratiwi, Cesa Septiana Ratu Vina Rohmatika, Ratu Vina Rufi'i Santo Dewatmoko SRI LESTARI Xaverus Johnstone Dapa Keti