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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri BAREKENG: Jurnal Ilmu Matematika dan Terapan Dinamisia: Jurnal Pengabdian Kepada Masyarakat Kaizen : Management Systems and Industrial Engineering Journal Tibuana : Journal of Applied Industrial Engineering Barometer Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS Profisiensi : Jurnal Program Studi Teknik Industri Jurnal Airaha JURNAL ECONOMINA ARMADA : Jurnal Penelitian Multidisiplin JUSTE (Journal of Science and Technology)
Agung K Henaulu
Universitas Darussalam Ambon
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Analisis SWOT: Startegi Pengembangan Pasar Modern Mardika di Kota Ambon Farida Mony; Agung K Henaulu; Aminah Soleman; Reza Abdulmudy; Abdi Ansyah Solissa
JUSTE (Journal of Science and Technology) Vol. 6 No. 1 (2025): JUSTE (Journal of Science and Technology)
Publisher : LLDIKTI WIlayah XII Ambon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51135/az0msf26

Abstract

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi keputusan pedagang untuk berdagang di Pasar Modern Mardika (PMM) Kota Ambon serta merumuskan strategi pengembangannya. Penelitian ini menggunakan metode deskriptif kuantitatif dengan pendekatan observasional. Data dikumpulkan melalui kuesioner, wawancara terstruktur, dan observasi terhadap 40 responden yang terdiri dari pedagang dan pengelola pasar, dengan teknik total sampling. Analisis data dilakukan dengan uji statistik deskriptif, uji reliabilitas, korelasi Spearman's Rho, dan analisis SWOT melalui matriks Faktor Eksternal (EFE) dan Faktor Internal (IFE). Hasil analisis IFE menunjukkan skor total 3,50, yang mengindikasikan kekuatan internal PMM lebih dominan daripada kelemahannya. Faktor kekuatan terletak pada fasilitas fisik (skor 0,59), sedangkan kelemahan utama adalah biaya sewa (skor 0,25). Analisis EFE menghasilkan skor 3,43, menunjukkan kemampuan yang baik dalam merespons faktor eksternal. Peluang terbesar adalah dukungan pemerintah daerah (skor 0,62), sementara ancaman utamanya adalah kebijakan yang berubah-ubah. Berdasarkan matriks SWOT, dirumuskan empat strategi utama: SO (memanfaatkan kekuatan untuk merebut peluang), WO (mengatasi kelemahan dengan memanfaatkan peluang), ST (menggunakan kekuatan untuk menghadapi ancaman), dan WT (strategi bertahan untuk meminimalkan kelemahan dan ancaman).Pasar Modern Mardika memiliki posisi internal dan eksternal yang kuat. Keberhasilan pengembangannya bergantung pada optimalisasi faktor kekuatan seperti fasilitas dan lokasi, serta penanganan serius terhadap kelemahan seperti biaya sewa yang tinggi melalui strategi yang telah dirumuskan.
Dynamics of Job Satisfaction Among Contract-Based Employees: The Role of Commitment and Work Environment at the Education Office of South Buru Regency Wahyudi, Indra; Afsoh, Fradana Firdiantoni; Zakaria, Syawal; Ollong, Kingsly Awang; Latocinsina, Yudhy Muhtar; Henaulu, Agung K.; latuconsina, Bay
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38639

Abstract

The vital role of contract-based employees (honorer) in supporting the operational and administrative functions of local government education offices is often accompanied by employment uncertainties, potentially affecting their job satisfaction. This study aims to analyze the influence of organizational commitment and the work environment on the job satisfaction of contract employees at the Education Office of South Buru Regency. Employing a quantitative associative approach, data were collected from 100 respondents and analyzed using multiple linear regression. The results indicate that both employee commitment and the work environment have a significant positive effect on job satisfaction. However, the work environment demonstrates a stronger influence (β = 0.739, p = 0.000) compared to organizational commitment (β = 0.094, p = 0.016). The regression model explains 91.6% of the variance in job satisfaction (R² = 0.916). This study concludes that to enhance the job satisfaction of contract employees, management interventions should prioritize creating a supportive and conducive work environment while simultaneously fostering organizational commitment. These improvements are essential for enhancing individual well-being and the overall quality of educational services.
The Role of Community-Based Tourism in Sustainable Tourism Development in Central Maluku Farida Mony; Achmad Zaky Marasabessy; Jusuf Sahupala; Agung K. Henaulu
JURNAL ECONOMINA Vol. 5 No. 6 (2026): JURNAL ECONOMINA, Juni 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/economina.v5i6.2588

Abstract

Central Maluku Regency has great potential to develop as a tourism destination, due to its abundant natural and cultural riches. With increasing awareness of the importance of sustainability in the tourism sector, community-based tourism (CBT) is a promising approach. Using a qualitative approach, this study explores how local communities can contribute to the management of natural and cultural resources, while simultaneously improving the economic well-being of the community. A systematic SWOT analysis, with strengths and weaknesses as internal environmental factors and opportunities and threats as external environmental factors, serves as a useful resource for decision-making in tourism management. Several significant findings that demonstrate the positive impacts and challenges faced in implementing community-based tourism in sustainable tourism development in Central Maluku include improving the local economy, empowering communities, and preserving culture and the environment. Active community participation in tourism development not only maintains environmental sustainability but also strengthens local cultural identity. It was also found that collaboration between the government, the private sector, and the community is crucial for creating a sustainable tourism model. This article is expected to provide insights for stakeholders in planning and implementing inclusive and sustainable tourism policies in Central Maluku Regency.
IoT-Based Integrated Production and Quality Control System Design for Halal SMEs in Island Regions Sitnah Aisyah Marasabessy; Mohammad Azemi Mohd Noor; Muhammad Nusran; Sony Ardian; Safarin Zurimi; Tri Siwi Nasrulyati; Agung K Henaulu
JTI: Jurnal Teknik Industri Vol 11 No 2 (2025): December 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i2.38476

Abstract

The global halal economy continues to expand rapidly, creating a pressing demand for reliable and technology-driven quality management systems. However, small and medium-sized enterprises (SMEs) in Indonesia’s island regions face major constraints in ensuring consistent halal assurance due to limited resources, geographic isolation, and dependence on manual processes. This study proposes an IoT-based integrated production and quality control system tailored for halal SMEs in island settings. The framework integrates Total Quality Management (TQM), Halal Assurance System (HAS), and Industry 4.0 technologies. Using sensors to monitor temperature, humidity, and weight—connected to a cloud dashboard—the system enables real-time monitoring, traceability, and halal compliance. A prototype was implemented in fish processing SMEs in Maluku, Indonesia. Results show improvements in production efficiency (15%), product consistency (20%), and halal documentation readiness. The findings confirm that IoT integration strengthens halal assurance and offers a scalable digital transformation model for island-based halal industries worldwide.
Work-Life Balance And Its Significant Positive Effect On Employee Performance: Evidence From BNN Maluku Province Sulaiman Wasahua; Indra Wahyudi; Agung K. Henaulu; Edi Arijanto Soselisa; Efendy Rumakat
ARMADA : Jurnal Penelitian Multidisiplin Vol. 4 No. 4 (2026): ARMADA : Jurnal Penelitian Multidisplin, April 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/armada.v4i4.1992

Abstract

This study aims to examine the impact of work-life balance on the performance of employees at the National Narcotics Board (Badan Narkotika Nasional/BNN) of Maluku Province. The growing demands on law enforcement personnel necessitate an understanding of how equilibrium between professional duties and personal life affects workplace outcomes. This explanatory research employed a quantitative approach with a census sampling technique, utilizing the entire population of 57 employees as respondents. Primary data were collected through questionnaires measured by a Likert scale, and the analysis included validity and reliability tests, simple linear regression, and coefficient of determination The findings reveal that work-life balance has a significant positive influence on employee performance, as indicated by a significance value of 0.000 (< 0.05). The regression equation Y = 6.649 + 0.539X demonstrates that for every unit increase in work-life balance, employee performance increases by 0.539. Furthermore, work-life balance explains 60.5% of the variance in employee performance (R² = 0.605), while the remaining 39.5% is influenced by other variables not examined in this study. It is concluded that enhancing work-life balance through supportive policies, such as flexible working arrangements and wellness programs, can substantially improve employee effectiveness. Future research is encouraged to explore additional factors like motivation and compensation to provide a more comprehensive understanding of performance determinants in public sector organizations.
COMPARISON OF LINEAR REGRESSION AND ARTIFICIAL NEURAL NETWORK MODELS FOR PREDICTING FISH CATCH VOLUME IN URENG VILLAGE, CENTRAL MALUKU Kasriana Kasriana; Rasid Ode; Eryka Lukman; Agung K. Henaulu
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp1743-1756

Abstract

This study aims to develop a predictive model for fish catch volume in Ureng Village, Central Maluku, using a mathematical modeling approach based on artificial intelligence with the Scikit-Learn and TensorFlow libraries. The research dataset consists of 24 monthly data records collected from July 2024 to June 2025. The data were obtained through a combination of primary and secondary collection methods. Primary data were gathered through interviews, field observations, and fishermen’s catch records, while secondary data included oceanographic parameters such as sea surface temperature, weather conditions, and current velocity. Two main models were developed: a linear regression model using Scikit-Learn as the baseline and a neural network model using TensorFlow as the comparator, both trained and evaluated on the same dataset to ensure consistency. The testing results show that the linear regression model produced a Mean Squared Error (MSE) of 0.8821 and a coefficient of determination (R²) of 0.682, while the neural network model achieved an MSE of 0.5423 and an R² of 0.815. These findings indicate that the neural network model is more capable of capturing nonlinear patterns among temperature, weather, and current variables, resulting in higher prediction accuracy than the linear model. Nevertheless, this study is limited by the relatively small sample size and the need for a more detailed description of the data period and measurement units to allow a more objective evaluation of the model’s performance. Overall, this AI-based approach has the potential to support more efficient, adaptive, and sustainable decision-making in fishery planning for coastal communities.
Application of Statistical Tests in Measuring the Influence of Product Quality and Brand Image Henaulu, Agung K; Eki Wulansari, Vovia; Dahlia Kaisupy, Tina; Abdulmudy, Reza; Salampessy, Haris; Mony, Farida; Latukau, Azizah
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9400.40-46

Abstract

The purpose of this study is to investigate how brand image and product quality have an impact on the interest in buying precious metals at the Sleman Branch Pawnshop. The study found that product quality, which includes purity, authenticity, and attractive design, significantly affects consumer buying interest. The quantitative methods used include survey methods and multiple regression analysis. In addition, Pegadaian's reputation as a safe and reliable financial institution greatly influences customers' desire to buy precious metals. The results of the regression analysis show that product quality has a regression coefficient of 0.543 with a p-value < 0.001, while brand images have a regression coefficient of 0.479 with a p-value < 0.001. The synergy between brand image and product quality shows an increase in customer buying interest. These two factors influence each other's purchase decisions. The implications of this study show that, in order to maintain and increase consumer buying interest, Pegadaian must continue to maintain and improve the quality of its products and brand image. This research provides valuable insights for pawnshops on how to optimize marketing strategies and product quality management
Comparative Sentiment Analysis of Provider X Application Reviews Using Support Vector Machine, Random Forest, and Naïve Bayes Algorithms Based on TF-IDF and SMOTE Hamama Kamtelat; Nirwan Moningka; Agung K Henaulu; Haris Kolengsusu; Rahul Lestaluhu; Muhamad Alvuad Mualo
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol. 23 No. 2 (2026): June 2026
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i2.40021

Abstract

In the era of digital transformation, the Provider x application has become the main digital touchpoint that reflects corporate credibility through customer experience. User reviews on the Google Play Store are an authentic business intelligence asset, but their massive volume requires machine learning solutions for objective and measurable analysis. This research aims to conduct comparative sentiment analysis by applying three labeling categories (positive, negative and neutral) to capture user opinions more comprehensively. Using a dataset of 10,983 clean reviews, this research applies rigorous text pre-processing and feature extraction using TF-IDF. To overcome class imbalance, the SMOTE (Synthetic Minority Over-sampling Technique) technique is integrated into the model. This research compares three main algorithms: Support Vector Machine (SVM), Random Forest, and Naïve Bayes. Experimental results show that Random Forest excels as the best model with the highest accuracy rate of 82%, significantly surpassing SVM (73%) and Naïve Bayes (71%). These findings prove the effectiveness of ensemble structures in processing high-dimensional text features and provide empirical insights for developers to improve services based on customer voice.
Co-Authors Abd. Samad Rumagia Abdi Ansyah Solissa Achmad Jais Ely Achmad Zaky Marasabessy Afsoh, Fradana Firdiantoni Ahmad A. Latuponu Ahmad A. Latuponu Akbar Rumuar Aliah Rahman Aminah Soleman Ardian, Sony Awia Conang Besmin Jahawadan Dahlia Kaisupy, Tina Edi Arijanto Soselisa Efendy Rumakat Eki Wulansari, Vovia Ely, Achmad Jais Eryka Lukman Farida Mony Farida Mony Ferdimon Kainama Hamama Kamtelat Haris Kolengsusu Indra Wahyudi Indra Wahyudi Indra Wahyudi, Indra Janaria Rumbouw John Waldi Ch. Karuwal Jusuf Sahupala Kasriana Kasriana Kimin Kimin Kisman Ady Kolengsusu, Haris Latocinsina, Yudhy Muhtar latuconsina, Bay Latukau, Azizah Masda Tuhuteru Maulana Nur Fazri Angkotasan Mohammad Azemi Mohd Noor Mohtar Latuconsina Moningka, Nirwan Mony, Farida Muhamad Alvuad Mualo Muhammad Alvuad Mualo Muhammad Nusran Muhammad Ramdhani Ohorella Nasrulyati, Tri Siwi Ollong, Kingsly Awang Rahma W. Sowakil Rahul Lestaluhu Rahul Lestaluhu Rapiah Sarfa Marasabessy Rasid Ode Reza Abdulmudy Rina Latuconsina, Rina Safarin Zurimi Salampessy, Haris Sitnah Aisyah Marasabessy Sony Ardian Sri Pitrianti Marasabessy Sulaiman Wasahua Syawal Zakaria Tahir Tuasikal Tri Siwi Nasrulyati Yenni Sofyan Yudhy Muchtar Latuconsina Yudhy Muhtar Latuconsina