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Aviation Workforce Optimization: Examining the Interdependence of Operational Discipline, Job Satisfaction, and Professional Competence Supriyadi, Agus; Dudija, Nidya; Indiyati, Dian
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 5 (2025): JIMKES Edisi September 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i5.3751

Abstract

This research investigates the influence of operational discipline, job satisfaction, and professional competence on employee performance within the aviation sector, focusing specifically on Airport Operational Support Services. A quantitative causal-explanatory method was employed, using Structural Equation Modeling with the Partial Least Squares (SEM-PLS) technique. The sampling process applied a stratified random method, involving 338 participants from different job levels. The findings reveal that both operational discipline and professional competence have a significant and positive impact on employee performance. Conversely, job satisfaction was found to have a negative effect. Theoretically, this study deepens the understanding of the interplay between these variables within high-risk work environments. On a practical level, it offers strategic insights for improving performance through targeted initiatives in discipline and competency enhancement. The study also provides a valuable contribution to the formulation of more comprehensive and contextually appropriate human resource management strategies in the airport support services industry.
Komunikasi Antarpribadi Masyarakat Beda Agama di Surakarta: Perspektif Interaksionisme Simbolik Sihabuddin, Sihabuddin; Supriyadi, Agus; Widiyowati, Estu
Jurnal Komunikasi Islam Vol. 11 No. 1 (2021): June
Publisher : Departement of Islami Comuunication and Broadcasting, Faculty of Da'wah and Communication, State Islamic University of Sunan Ampel (UINSA) Surabaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3113.186 KB) | DOI: 10.15642/jki.2021.11.1.225-242

Abstract

This study aims to analyse the interpersonal communication within multi-religious society in Gendingan village, Surakarta. Using a descriptive qualitative method and symbolic interactionalism approach, the findings indicate that a harmony produced by interpersonal communication amongst Gendingan society is a reflection of one's obedience to the religion and the result of the understanding to his/her religious. In addition, based on symbolic interaction perspective, it is found that, first, the communicator's response to communicants within multi-faith society affected by the environment. Second, the tolerance is allowed but it has remained limited, regardless reducing the meaning of tolerance. Third, there are changes of religious symbolic meaning that affect interpersonal communication actions within multi-religious communities.
Analisis Tekno-Ekonomi dan Fraksi Energi Terbarukan pada Sistem Energi Hibrid Off-Grid Berbasis Potensi Energi Lokal Menggunakan Software HOMER Muljono, Agung Budi; Yanuardi, Yanuardi; Supriyadi, Agus; Harjian, Muhammad Rivaldi
JEITECH (JOURNAL OF ELECTRICAL ENGINEERING, INFORMATION TECHNOLOGY, CONTROL ENGINEERING, AND ROBOTIC) Vol. 3 No. 2 (2025): Edisi Agustus 2025
Publisher : Depertment of Electrical Engineering University of Mataram

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Abstract

The development of an off-grid hybrid energy system based on local energy potential offers a solution to improve energy access in remote areas. Lenek Village, located in East Lombok, West Nusa Tenggara (NTB), has renewable energy potential in the form of solar and biomass energy. This study aims to conduct a technical and economic analysis of an off-grid hybrid energy system that utilizes this local energy potential using HOMER software. The study evaluates the renewable energy fraction, capital cost, operating cost, and overall system economic feasibility. The results show that the energy supply combination includes a photovoltaic (PV) fraction of 15%, biomass generator of 15%, and wind energy of 69%, at a competitive cost. The use of HOMER software facilitates system analysis and optimization. The total cost required for overall power generation (Total Net Present Cost) is US$2,351,595, with a cost of energy (COE) of US$0.674 per kWh.
Analisa Terhambatnya Proses Discharge Pada Cargo Pump Di Kapal MT. Karmila Darmana, Eka; Supriyadi, Agus
Marine Science and Technology Journal Vol 2 No 2 (2021): Marine Science and Technology Journal
Publisher : Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/maristec.v1i2.1587

Abstract

PT. Pertamina appointed the MT ship. Karmila becomes a bunker ship, which is useful for supplying MFO fuel to Pertamina's ships and Pertamina's charter ships operating in the Dumai port area. So that the cargo pump plays a very important role in the fuel supply process. Obstruction of the discharge process will result in a decrease in the performance of the cargo handling process which will hamper ship operational activities. The method used is a case study with a qualitative descriptive analysis approach. Data collection obtained by direct observation at MT. KARMILA which is a ship owned by PT. PERTAMINA and direct interviews with the ship's crew. In addition, data sources are also obtained from the instruction manual, SOPs on board and references from articles related to pumping rates. The results of this study state that the problems that occur when the cargo supply bunker discharge is caused by several factors such as difficulty in adjusting the pumping rate for the supply bunker according to pipe capacity, the temperature increase of the electro motor cargo pump (overheating), the high initial load so that the generator is unstable, damage to the connection hose to the supply bunker. These things cause problems when the cargo discharge process for supply bunkers. One solution to overcome these problems is to control the rotation of the electro motor cargo pump using an inverter so that the pumping rate can be controlled as needed so that excess load and pressure can be avoided.
Analysis of Predicting the Number of Rejected Chips Using Random Forest at PT. Wahyu Kartumasindo Internasional Supriyadi, Agus; Sunge, Aswan Supriyadi; Tedi, Nanang
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 4 (2025): Articles Research October 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i4.7028

Abstract

Manufacturing industries face significant challenges in maintaining consistent product quality, particularly in minimizing reject rates across production machines, as high reject levels not only increase operational costs but also reduce overall efficiency and competitiveness. This study aims to develop a predictive approach using the Random Forest algorithm to forecast monthly chip rejects across different production machines, with historical reject data consisting of 1,820 records from June 2023 to September 2024 analyzed based on four primary reject categories and five production machines (DCL1, DCL2, CMI200, CMI200+, and YMJ400). The Random Forest model was applied to classify and predict reject patterns, and its performance was evaluated based on prediction accuracy and error rates, showing that the algorithm is effective in predicting reject counts with an absolute error of 0.640 ± 0.183, especially for lower reject values under 300, although accuracy decreases when handling higher reject levels above 500. Machine-level analysis further reveals that DCL1 and DCL2 consistently contribute the highest reject counts with high variability, while CMI200 and CMI200+ demonstrate stable performance with most rejects below 300, and YMJ400 generally records lower rejects but occasionally exhibits spikes, suggesting inconsistent performance. In conclusion, the Random Forest model provides a reliable predictive framework for monitoring reject trends, identifying DCL1 and DCL2 as priority targets for improvement, and supporting proactive maintenance strategies to enhance overall production quality.
Co-Authors Abdul Muis Abdullah , Humaira DJ Abrianto, Heri Achmad Basuki Adam, Samsudin Hi. Aditya, Sri Praba Agung Budi Muljono Agus Setiya Budi, Agus Setiya Aisyah, Nur Siti Amir, Rini Arfandi Arfandi, Arfandi Arifatunurrillah, Aldilla Aswan Supriyadi Sunge Bagus Adi Pamungkas Cirella, Giuseppe T Corrina, Fatti Dian Indiyati Edy Purnomo Edy Purwanto Eka Darmana, Eka Eka Wahjuningsih Eriyanto, Eriyanto Guznan, Mahendra Harjian, Muhammad Rivaldi Haslindar, Yoga Sabraina Hermanto Hermanto Herucahyo, Dwi Putra Hi Mumamad, Hujaefa Hidayanti, Fitria Hidayati, Titiek Rohanah Irmadiani, Nadia Jatnika, Ika Juwita, Melda R Kardiatun, Tutur Khotibul Umam Kusno Adi Sambowo La Ode Baytul Abidin Listyorini, Listyorini Mahmud, Toni Anwar Marliana, Intan Maharani Dian Marwanto, Ary Masbudi, Masbudi Masbudi, Masbudi Mirati, R. Elly muchtar, ali masjono Muhammad Muttaqin Muhammad Nashirudin, Muhammad Muhammad Ramli Muttaqien, Adi Yusuf Nafi, Muna Khoirun Nidya Dudija Nugraha, Lanjar Aji Nurnawati Hindra Hastuti Octaviyanto, Fauzi Ardi Parijo . Pradika, Jaka Prasetyo, Faishal Shiddiq Rachman, Nissa Zahra Ramadhani, Muhammad Fauzan Ramadhani, Muhammad Fauzan Repi, Viktor Vekky Ronald Rizki, Annisa Safitri, Susi Salamet, R. Apit Rahmat Samsudin, Mohamad Aso Sekar Arum, Sekar Senot Sangadji, Senot Sholeha, Maratus Sholeha, Mar’atus Sihabuddin, Sihabuddin Stefanus Adi Kristiawan Sumbayak, Klaudia Anggita Supardi Supardi Syaeful Karim, Syaeful Tedi, Nanang Vidyasari, Rahmanita Wang, Tao Widiyowati, Estu Wulan Sari, Fitria Yanuardi Yanuardi Zainal Abidin Zainuddin .