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All Journal Optimum : Jurnal Ekonomi dan Pembangunan JURNAL PENDIDIKAN TAMBUSAI Penentuan harga obligasi dan teori tingkat bunga Jurnal Investasi Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal Teknik Informatika (JUTIF) Jurnal Kajian Ilmiah International Journal of Social Science Kontigensi: Jurnal Ilmiah Manajemen MASTER: Jurnal Manajemen Strategik Kewirausahaan Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Pengabdian Pelitabangsa e-Jurnal Apresiasi Ekonomi PEDAMAS (Pengabdian Kepada Masyarakat) SAINTEK Jurnal Desiminasi Teknologi Asian Journal of Management, Entrepreneurship and Social Science
Hamzah Muhammad Mardi Putra
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Implementasi Sistem Informasi Geografis (SIG) Untuk Pemetaan Lokasi Rawan Banjir Di Kabupaten Kebumen Alfi Karomah; Hamzah Muhammad Mardi Putra
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Flooding is a condition in which water cannot be accommodated in the drain channel (river channel) or the flow of water in the drain channel is blocked, so that it overflows and inundates the surrounding area (flood plain). Mapping of flood distribution areas using remote sensing satellites and GIS can be done by combining flood phenomena and satellite capabilities. The purpose of this study is to identify the use of geographic information systems for mapping flood-prone areas in Kebumen district and identify flood-prone areas in Kebumen district. The research method is in the form of descriptive quantitative surveys and descriptions to determine the mapping of flood-prone areas in Kebumen district using overlay and scoring functions using ArcGIS 10.3 software. The results showed that spatial and non-spatial data processing was divided into three classes of flood-prone areas. The flood-prone area is 182 ha, the flood-prone area is 276 ha, and the non-prone area is 1.09 ha. Keywords: GIS, Floods, Mapping
The Influence of Market Orientation and Entrepreneurial Orientation on Marketing Performance Mediated By Specific Marketing Capabilities at PT. Dano Jaya Plast Indonesia Indra Setiawan; Hamzah Muhammad Mardi Putra; Anna Wulandari
Kontigensi : Jurnal Ilmiah Manajemen Vol 12 No 1 (2024): Kontigensi: Jurnal Ilmiah Manajemen
Publisher : Program Doktor Ilmu Manajemen, Universitas Pasundan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56457/jimk.v12i1.515

Abstract

The importance of improving marketing performance in the automotive industry is needed in order to compete, along with technological developments, changing consumer trends, and environmental challenges. In line with technological developments and changes in consumer behavior, automotive companies need to continuously monitor and measure the effectiveness of marketing strategies. This research was conducted at PT. Dano Jaya plast Indonesia which is located at Jl. Science Timur 3 Blok B5B5, Jayamukti. Central Cikarang. Bekasi. West Java. The sample used in this study was 86 people with cluster sampling method. Data analysis was carried out using the Partial Least Square (PLS) method using Smart PLS software version 3.0. The result of this study is that market orientation and entrepreneurial orientation have a positive and significant effect on marketing performance and specific marketing capabilities can mediate market orientation and entrepreneurial orientation to marketing performance
High and Low Levels of Employee Performance: The Role of Transformational Leadership Styles and Employee Engagement Fitri Rezeki; Hamzah Muhammad Mardiputera; Anna Wulandari
Asian Journal of Management, Entrepreneurship and Social Science Vol. 3 No. 03 (2023): August, Asian Journal of Management, Entrepreneurship and Social Science
Publisher : Cita Konsultindo Research Center

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Abstract

This research investigated the relationships between Work Engagement, Transformational Leadership, and Employee Performance. The analysis revealed that Work Engagement did not have a direct statistically significant impact on Employee Performance. However, Transformational Leadership was found to have a strong and significant positive effect on Employee Performance. Moreover, when considering the combined influence of Work Engagement and Transformational Leadership, a significant relationship with Employee Performance was observed. These findings suggest that organizations should prioritize the development of transformational leadership skills to enhance performance outcomes. While Work Engagement is important for employee well-being, its direct impact on performance may be limited. The study highlights the need for organizations to cultivate a work environment that promotes employee engagement and effective leadership practices. Further research is necessary to explore additional factors that may influence employee performance. These conclusions provide valuable insights for organizations aiming to improve performance and create a positive work environment.
ANALISIS IMPLEMENTASI QUALITY CONTROL CIRCLE UNTUK MENGURANGI DIRTY SEAT BELT PADA BAGIAN ASSEMBLY PT XYZ Anas Agung Nugroho, Azwar; Suhendra; Muhammad Mardi Putra, Hamzah
Jurnal Desiminasi Teknologi Volume 13 Nomor 1 Januari 2025
Publisher : Fakultas Teknik Universitas Tridinanti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52333/destek.v13i1.1024

Abstract

Komponen otomotif adalah produk yang sangat mengutamakan kualitas appearance yang baik, sehingga jaminan kualitas harus selalu menjadi prioritas utama. PT XYZ merupakan salah satu Original Equipment Manufacture (OEM) ternama di Indonesia yang memproduksi kendaraan penunpang roda empat. Namun, saat ini perusahaan tersebut masih menghadapi tingkat cacat yang sangat tinggi, terutama pada bagian assembly. Cacat yang paling sering terjadi pada bagian tersebut pada saat pemasangan seat belt, yaitu berupa cacat komponen yang kotor (dirty) dengan rata-rata sebesar 0.043 Defect Per Unit (DPU). Data tersebut diperoleh dari total cacat yang terjadi antara April hingga Agustus 2023. Angka tersebut sangat tinggi dan melebihi target yang ditetapkan perusahaan untuk setiap lini produksi. Penelitian ini bertujuan untuk mengidentifikasi hingga memberikan solusi perbaikan agar cacat tersebut dapat diturunkan menggunakan pendekatan analisis Quality Control Circle (QCC). Setelah mengimplementasikan solusi perbaikan, maka defect dirty seat belt tersebut turun menjadi rata-rata sebesar 0.01 DPU pada bulan September 2023 hingga Januari 2024 atau mengalami penurunan hingga 53%.
EMPLOYEE ENGAGEMENT AS THE KEY TO OPTIMIZING PERFORMANCE: UNDERSTANDING THE IMPACT OF POWER DISTANCE AT CV MEGA MENDUNG STELL Rezeki, Fitri; Mardiputra, Hamzah Muhammad; Supriyanto, Supriyanto; Fahamsyah, Mohammad Hatta
Jurnal Apresiasi Ekonomi Vol 12, No 3 (2024)
Publisher : Institut Teknologi dan Ilmu Sosial Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31846/jae.v12i3.950

Abstract

Human resources (HR) play a crucial role in achieving organizational goals. Employee engagement is expected to enhance performance by deepening the understanding and implementation of job functions. Both qualitative and quantitative employee performance are essential for a company's success, as they directly impact outcomes. At CV Mega Mendung Stell, declining employee performance has negatively affected profitability. Strong employee motivation is critical for maintaining a competitive edge, as engaged employees typically exhibit higher performance levels and stronger attachment to their work and company. Research shows that power distance within an organization—measuring the extent to which power differences are accepted and communicated—has a significant impact on employee performance. High power distance can lower motivation, while low power distance can place excessive pressure on employees. Effective work engagement can manage this balance, fostering an environment that promotes engagement and efficient decision-making, thereby improving overall organizational effectiveness. This study aims to explore the impact of employee engagement on performance at CV Mega Mendung Stell, providing insights to improve HR management and organizational performance. Keywords: Employee Engagement , Employe Performance , Power Distance
The Effect of Social Media Marketing and E-Service Quality on the Decision to Choose Private Tutoring Services "Be Smart Student" Mediated by Brand Trust Ismawati, Putri; Yahya, Adibah; Putra, Hamzah Muhammad Mardi
Dinasti International Journal of Economics, Finance & Accounting Vol. 5 No. 6 (2025): Dinasti International Journal of Economics, Finance & Accounting (January - Feb
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v5i6.4169

Abstract

This research aims to determine and analyze the influence of social media marketing and e-service quality on the decision to choose Private Lesson "Be Smart Student" mediated by brand trust. The research uses quantitative method and data collection technique using g-form questionnaire for 314 respondents (parents) of students. The data analysis technique uses path analysis to determine the fit of the structural equation model with SmartPLS 4.1.0. The results conclude: Social media marketing has a positive and significant effect on choosing decisions; E- Service Quality has a positive and significant effect on choosing decisions; Brand trust has a positive and significant effect on choosing decisions; Social media marketing has a positive and significant effect on brand trust; E-Service Quality has a positive and significant effect on brand trust; Social media marketing has a positive and significant influence on choosing decisions mediated by brand trust; and E-Service Quality has a positive and significant effect on choosing decisions mediated by brand trust. The results have implications for efforts to improve marketing strategies through applying digital platforms to market institutional programs and learning processes.
PENERAPAN PLATFORM MEDIA SOSIAL LINKEDIN SEBAGAI ALAT REKRUTMEN Putra, Hamzah Muhammad Mardi; Fahamsyah, Mohammad Hatta
Jurnal Investasi Vol. 7 No. 4 (2021): Jurnal Investasi Vol. 7 No. 4, September 2021
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/investasi.v7i4.165

Abstract

Rekrutmen adalah kegiatan menarik, menyaring dan memilih kumpulan calon (karyawan yang paling cocok dalam keterampilan, pengalaman dan kompetensi). Proses rekrutmen konvensional menghabiskan lebih banyak waktu dan biaya serta organisasi terbaik dalam mempekerjakan karyawan terbaik dengan biaya terendah. Hal tersebut menjadi sebuah keharusan dalam bersaing demi meraih keunggulan kompetitif di dunia industri. Seiring berjalannya waktu, proses rekrutmen sudah berubah dari metode konvensional menjadi metode dengan penerapan teknologi seperti melalui rekrutmen berbasis website, job street, dan social media. Aplikasi Sosial Media Linkedin adalah platform Media Sosial professional dengan 443 juta pengguna di sekitar 200 negara. Dengan menggunakan media social professional Linkedin sebagai alat untuk rekrutmen, para pencari kerja dan para perusahaan yang membutuhkan tenaga kerja akan dipermudah. Metode yang digunakan pada penelitian ini adalah untuk mengetahui kesesuaian antara pencari kerja dengan kriteria yang dibutuhkan perusahaan dalam rangka proses rekrutmen tenaga kerja. Pengumpulan data akan digunakan pada para pencari kerja di area Industri Jababeka dan akan disesuaikan dengan perusahaan yang ada di area Industri Jababeka . Hasil penelitian juga menunjukkan hubungan signifikan bahwa variable Personal- organisasi, Personal-Kelompok, dan Variabel Personal-Pekerjaan dapat menghasilkan kinerja organisasi yang tinggi di area industry jababeka. Penerapan penelitian ini diharapkan menjadi solusi bagi para pencari kerja dan perusahaan di area industry dalam proses rekrutmen tenaga kerja, sehingga dapat terjadi efisiensi pada proses rekrutmen.
Faktor Pengaruh Reputasi dan Kualitas Layanan Terhadap Minat Beli Ulang Konsumen Pada Platform E-commerce Shopee Nurmanto, David; Mulyanto, Heru; Wiyatno, Tri Ngudi; Purnamasari, Pupung; Putra, Hamzah Muhammad Mardi
Jurnal Kajian Ilmiah Vol. 24 No. 1 (2024): January 2024
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/h1ctjy38

Abstract

The use of technology and the internet in the era of the industrial revolution 4.0 has the potential to improve product marketing strategies. E-commerce, as a product sales platform, is currently becoming popular and widely used. The number of e-commerce users continues to grow because of the ease of getting the desired product. Low interest in repurchasing needs to be considered in management's perspective to improve strategic planning and company services. The researchers point out that repurchase intentions are a much-studied topic in the current era of globalization. For this reason, this research will examine the influence of brand reputation and service quality on repurchase interest on the Shopee e-commerce platform. Data processing using SmartPLS software. The results of the validity and reliability tests for the indicators used showed validity and reliability and the results of the classical assumption test showed no multicollinearity in the variables. The results of the hypothesis test partially show that brand reputation does not have a significant influence on repurchase interest, while service quality has a significant influence on repurchase interest.
Interpretable Machine Learning for Employee Recruitment Prediction Using Boruta, CatBoost, Lasso, Logistic Regression, NLP, and RFE Feature Selection Sunge, Aswan Supriyadi; Suzanna, Suzanna; Mardi Putra, Hamzah Muhammad
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4810

Abstract

Employee recruitment is one of the crucial processes in human resource management that has a direct impact on the performance and success of the company. In the digital era, the use of Machine Learning (ML) in candidate selection processes is increasingly prevalent due to its ability to enhance efficiency, accuracy, and transparency. This research is important because conventional recruitment methods often face issues such as subjective bias, slow processing times, and limitations in assessing a candidate’s true potential. ML offers a more objective, data-driven, and faster approach, enabling companies to identify the best candidates more effectively. This study aims to identify the main features that influence recruitment decisions, as well as evaluate the effectiveness and interpretability of several ML models, namely Boruta, CatBoost, Lasso Regression, Logistic Regression, Natural Language Processing (NLP), and Recursive Feature Elimination (RFE). This study uses a dataset consisting of 1,501 samples with 10 features and one class variable (0 = Not Hired, 1 = Hired). The evaluation is carried out based on the ability of each model to identify the features that make the most significant contribution to the classification results. This study has several limitations, particularly the potential bias in the data, such as demographic bias that may be reflected in historical recruitment decisions. This could lead the ML models to replicate or even reinforce such biases. Additionally, the limited dataset size may affect the models' ability to generalize to new data. In the context of this study, the main parameter used to assess the superiority of the model is the most dominant feature or the highest feature produced by each method. The test results show that the Boruta model identifies Gender as the most influential feature, while the CatBoost, Lasso Regression, Logistic Regression, and NLP models consistently place Recruitment Strategy as the most significant feature in predicting candidate eligibility. Meanwhile, the RFE model produces Distance from the Company as the highest feature that influences recruitment decisions. The uniqueness of this study lies in its approach that integrates feature interpretability models within the real-world context of recruitment decision-making. This approach not only emphasizes prediction accuracy but also promotes transparency and a clear understanding of the rationale behind each decision. It supports the development of a fairer and more accountable selection process, particularly by minimizing unconscious bias in data-driven recruitment systems. From a practical standpoint, the findings are highly relevant for human resource professionals, as the identified key features can be used to design more objective selection strategies and enhance the efficiency of candidate evaluations. Therefore, this study makes a tangible contribution to the advancement of modern, technology-based recruitment systems that prioritize fairness and decision-making efficiency. Additionally, the selection of evaluation metrics could be further elaborated to strengthen the analysis, for example by presenting the overall accuracy of each model or comparing them with alternative approaches to provide a more comprehensive view of the models' performance.
Kepuasan Pelanggan Terhadap Implementasi Sistem Absensi Di Perusahaan Graha Digital Network Dengan Algoritma C4.5 Anggara, Bangkit Akbar; Sunge, Aswan Supriyadi Sunge; Sari, Putri Anggun; Mardi Putra, Hamzah Muhammad; Wulandari, Anna
Jurnal SIGMA Vol 15 No 3 (2024): Desember 2024
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v15i3.6046

Abstract

Kemajuan teknologi informasi telah memungkinkan bisnis untuk menggantikan proses manual, seperti pencatatan kehadiran karyawan, dengan sistem digital. Graha Digital Network, untuk meningkatkan efisiensi dan akurasi pencatatan kehadiran, telah mengimplementasikan sistem absensi digital. Penelitian ini bertujuan untuk mengevaluasi kepuasan pengguna terhadap sistem tersebut dan mengidentifikasi elemen yang mempengaruhinya dengan menggunakan algoritma C4.5. Metode kuantitatif digunakan dengan pengumpulan data melalui kuesioner yang mengukur fitur-fitur seperti kemudahan penggunaan, keandalan, dan dampaknya terhadap produktivitas kerja. Hasil analisis menunjukkan bahwa fitur nomor 3 memiliki nilai gain tertinggi, menunjukkan informasi paling signifikan dalam sistem absensi, sementara fitur nomor 8 memiliki pengaruh paling rendah. Pohon keputusan yang dihasilkan menggambarkan kontribusi masing-masing aspek terhadap kepuasan pengguna. Penelitian ini menemukan bahwa beberapa fitur sistem absensi memiliki pengaruh signifikan terhadap kepuasan pengguna, memberikan manajemen Graha Digital Network kesimpulan dan rekomendasi untuk meningkatkan fitur tertentu dan mengoptimalkan sistem demi meningkatkan kepuasan pengguna dan produktivitas.
Co-Authors Ahmad Gunawan Alfi Karomah Anas Agung Nugroho, Azwar Anggara, Bangkit Akbar Anna Wulandari Anna Wulandari Aswan Supriyadi Sunge Dodit Ardiatma Eko Riwayadi Fahamsyah, Mohammad Hatta Heru Mulyanto Indra Setiawan Ismamudi Ismamudi Khoirul Amin Miftakul Huda Muhammad Guntur Nani Hartati Nani Hartati Nugroho, Arief Teguh Nurmanto, David Pupung Purnamasari Putri Anggun Sari Roby Lasut Sari, Putri Anggun Siti Awaliyati Deliabilda Suhendra Supriyanto Supriyanto Suzanna, Suzanna Tri Ngudi Wiyatno Widya Asmara wiji safitri Wulandari, Anna Yahya, Adibah Yunita Ramadhani RDS