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CORRELATION OF REGRESSION ON EMPLOYEE PERFORMANCE: IN-DEPTH ANALYSIS OF THE RELATIONSHIP BETWEEN COMPETENCY AND COMPENSATION AT THE HUMAN CAPITAL MANAGEMENT SERVICE OF PT XYZ Maulidin, Wildan Fatchan; Debora, Fransisca
Jurnal Inkofar Vol 8, No 2 (2024)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v8i2.367

Abstract

Employee performance management is crucial for achieving organizational goals, especially in dynamic industries like aviation. PT XYZ, a leading aircraft maintenance provider, recognizes the importance of optimizing employee performance. Individual competency and organizational compensation are key factors influencing this performance. Certification, as proof of competency, ensures employees possess the necessary skills, yet it is becoming rare in Human Resource Management services, potentially hampering performance. In addition, PT XYZ survey data highlights compensation as a weak point, impacting overall employee performance. This research aims to examine the relationship between competency, compensation, and employee performance at PT XYZ's Human Capital Management Service using the correlation regression method. The findings indicate that both competency and compensation significantly influence employee performance, with a correlation value of 0.696 (69.6%), indicating a strong relationship. Additionally, the analysis shows that competence and compensation together account for 48.4% of the variance in employee performance, while the remaining 51.6% is influenced by other factors not examined in this research. Employee competency has a positive and significant influence on performance, with a regression coefficient value of 1.027, indicating that an increase in employee competency is directly proportional to an increase in their performance. In contrast, compensation shows no partial significant influence on performance, with a regression coefficient value of -0.092. The study recommends that PT XYZ’s Human Capital Management Department prioritize enhancing employee competency and reviewing compensation strategies to improve overall performance. This research contributes significantly to developing more effective human resource management policies in a competitive business environment.
The Effectiveness and Efficiency of the Mini Vise Manufacturing Process Practicum: A Technical and Non-Technical Perspective on the Practicum Nugraha, Billy; K, Krisna Apriansyah; Septiani, Sri; Wahid, Taufik Nur; Maulidin, Wildan Fatchan
Tekmapro Vol. 20 No. 1 (2025): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

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

Abstract

This study aims to evaluate the effectiveness and efficiency of both technical and non-technical aspects in the mini vise manufacturing process practicum at technical education institutions. Data was collected through questionnaires distributed to 138 respondents, consisting of students who participated in the practicum. The questionnaire measured various technical aspects such as meeting schedules, punctuality, clarity of information, consistency in delivery, and problem-solving, as well as non-technical aspects such as teaching methods, the role of practicum assistants, module content-reports, teaching and learning activities, and learning outcomes. The results indicate that, in terms of technical aspects, the majority of respondents agreed that meeting schedules (64.1%), clarity of information (68.1%), and problem-solving (77.9%) were carried out effectively, although punctuality still requires improvement, with 39.1% of respondents remaining neutral. Regarding non-technical aspects, teaching methods (81.2%), the quality of practicum assistants (81.9%), and teaching activities (81.2%) received positive assessments from most respondents. However, some areas still need further attention to improve consistency and overall respondent satisfaction. The main conclusion of this study is that the mini vise manufacturing process practicum has generally been effective and efficient, although there are several aspects that require improvement, particularly in terms of punctuality and consistency in delivery. Recommendations from this study include improving time management, enhancing the clarity of information, and providing further training for practicum assistants.
COMPARATIVE ANALYSIS OF MOVING AVERAGE AND DOUBLE EXPONENTIAL SMOOTHING METHODS FOR FORECASTING ASTM A252 GR 2 PIPE DEMAND AT PT XYZ Agustin, Ardita Dwi; Momon S, Ade; Suseno, Agustian; Maulidin, Wildan Fatchan
Journal of Industrial Engineering Management Vol 9, No 3 (2024): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i3.1897

Abstract

Raw material inventory planning is a crucial aspect in the manufacturing industry to ensure smooth production and cost efficiency. However, PT XYZ has not implemented a forecasting method in its raw material planning system, so that procurement decisions are still reactive to actual demand. This study aims to analyze and compare forecasting methods using Double Exponential Smoothing (DES) and Moving Average (MA) to determine the most accurate method in projecting raw material needs for Non-API spec pipe products, type ASTM A252 GR 2 at KT 24 PT XYZ. The data used is historical demand data, which is then analyzed using POM-QM for Windows software. The results of the analysis show that the Moving Average method with a two-month period (MA-2) has the smallest Mean Squared Error (MSE), which is 182067, and a Mean Absolute Percentage Error (MAPE) value of 1.24%, which indicates a higher level of accuracy than other methods. Thus, the MA-2 method is recommended to be implemented in PT XYZ's raw material planning system to improve production efficiency and reduce the risk of excess or shortage of stock. For further research, it is recommended to develop a forecasting model by considering external factors such as market trends and seasonality, and integrating machine learning or hybrid forecasting methods to improve prediction accuracy. In addition, the implementation of an Enterprise Resource Planning (ERP)-based system with a forecasting module can also be a solution for long-term planning efficiency.
USULAN PERBAIKAN PENGENDALIAN KUALITAS PRODUK LABEL MELALUI SEVEN TOOLS PADA PT DWI ASWA MANDIRI Salwa, Siti; Winarno, Winarno; Sutrisno; Maulidin, Wildan Fatchan
Industri Inovatif : Jurnal Teknik Industri Vol 15 No 1 (2025): Inovatif Vol. 15 No. 1
Publisher : Prodi Teknik Industri S1 Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/industri.v15i1.12869

Abstract

PT Dwi Aswa Mandiri adalah perusahaan digital printing yang fokus pada produk label. Namun, proses produksinya sering menghasilkan produk cacat, sehingga diperlukan sistem pengendalian kualitas yang baik. Penelitian ini bertujuan untuk memberikan analisis usulan perbaikan kualitas dan menganalisis penyebab cacat menggunakan metode Seven Tools, guna menekan jumlah produk cacat. Data yang dikumpulkan dianalisis untuk mengidentifikasi jenis cacat dan faktor penyebabnya. Hasilnya menunjukkan dua cacat utama, yaitu ukuran tidak sesuai (70,3%) dan kusut/kotor (29,7%). Solusi yang diusulkan meliputi pelatihan tenaga kerja, pengawasan rutin sesuai SOP, perawatan mesin, peningkatan lingkungan kerja, dan memastikan material memenuhi standar. Usulan solusi tersebut diharapkan dapat mengurangi cacat dan meningkatkan kualitas produk yang ada. Penelitian yang telah dilakukan ini diharapkan dapat memberikan usulan dan rekomendasi bagi perusahaan dalam meningkatkan pengendalian kualitas untuk mencapai hasil yang lebih optimal
Analysis of the 7P Marketing Mix and Strategic Recommendations Using an Omnichannel Approach: A Descriptive Study of Cooler City, Telukjambe Timur, Karawang Maulidin, Wildan Fatchan; Wahyudin, Wahyudin; Indriyani, Septia; Famella, Gading Adithia
JTI: Jurnal Teknik Industri Vol 11, No 1 (2025): JUNI 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v11i1.32944

Abstract

This study examines the integration of the 7P marketing mix with a multichannel approach at Cooler City Telukjambe Timur Karawang, focusing on its impact on customer experience and business competitiveness. This study addresses the gap in understanding how this strategy is implemented in the Indonesian food and beverage industry, especially in a competitive market. Using a descriptive qualitative method, data was collected through management interviews, direct observation, and digital platform analysis. The study findings revealed that implementing the 7P strategy increased customer engagement through diverse product offerings, flexible pricing, strategic locations, and active social media promotions. However, some areas that need improvement include optimizing digital promotions through influencer collaboration and developing a direct ordering platform. The study concluded that although the 7P and cross-channel strategies have been implemented effectively, continuous digital marketing and staff training innovation is essential to maintain competitiveness and support sustainable growth in the ice cream and beverage sector. Recommendations emphasize enhancing digital promotion strategies and improving customer service processes to ensure a consistent customer experience across all channels.Keywords: Marketing Mix, 7P, Omnichannel, Cooler City, Karawang
Pembukuan Digital yang Efisien untuk UMKM (Pendekatan Pengembangan Prototipe Excel VBA) Maulidin, Wildan Fatchan; Nugraha, Asep Erik; Rahma, Rana Ardila; Sutrisno, Sutrisno; Alimar, Merkudena Mahikade; Yudhiawan, Rizal; Kusuma, Satria Ardi
INFOMATEK Vol 27 No 1 (2025): Juni 2025
Publisher : Fakultas Teknik, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/infomatek.v27i1.22552

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) di Indonesia, khususnya pada sektor makanan, sering menghadapi tantangan dalam manajemen keuangan, terutama dalam pencatatan transaksi dan penyusunan laporan keuangan yang akurat. Metode pembukuan manual yang rentan terhadap kesalahan dan memakan waktu menghambat efisiensi operasional UMKM. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pembukuan keuangan digital menggunakan Excel VBA, yang memungkinkan otomatisasi pencatatan transaksi dan pembuatan laporan keuangan harian untuk UMKM pecel di Karawang. Penelitian ini menggunakan metode waterfall dengan pendekatan prototipe, serta teknik pengumpulan data seperti wawancara, observasi langsung, dan studi literatur. Hasil penelitian mencakup prototipe fungsional yang meningkatkan efisiensi operasional UMKM dengan menyediakan solusi pembukuan yang terjangkau, sederhana, dan mudah diakses. Sistem ini memungkinkan UMKM untuk menghasilkan laporan keuangan yang akurat dan tepat waktu tanpa memerlukan keterampilan teknis yang tinggi. Penelitian ini berkontribusi pada digitalisasi pembukuan keuangan UMKM dan menyoroti potensi teknologi sederhana dalam meningkatkan manajemen keuangan. Penelitian selanjutnya dapat berfokus pada penambahan fitur canggih dan eksplorasi program pelatihan untuk membantu UMKM dalam mengadopsi teknologi ini.
COMPARATIVE ANALYSIS OF MOVING AVERAGE AND DOUBLE EXPONENTIAL SMOOTHING METHODS FOR FORECASTING ASTM A252 GR 2 PIPE DEMAND AT PT XYZ Agustin, Ardita Dwi; S, Ade Momon; Suseno, Agustian; Maulidin, Wildan Fatchan
Journal of Industrial Engineering Management Vol 9, No 3 (2024): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v9i3.1889

Abstract

Raw material inventory planning is a crucial aspect in the manufacturing industry to ensure smooth production and cost efficiency. However, PT XYZ has not implemented a forecasting method in its raw material planning system, so that procurement decisions are still reactive to actual demand. This study aims to analyze and compare forecasting methods using Double Exponential Smoothing (DES) and Moving Average (MA) to determine the most accurate method in projecting raw material needs for Non-API spec pipe products, type ASTM A252 GR 2 at KT 24 PT XYZ. The data used is historical demand data, which is then analyzed using POM-QM for Windows software. The results of the analysis show that the Moving Average method with a two-month period (MA-2) has the smallest Mean Squared Error (MSE), which is 182067, and a Mean Absolute Percentage Error (MAPE) value of 1.24%, which indicates a higher level of accuracy than other methods. Thus, the MA-2 method is recommended to be implemented in PT XYZ's raw material planning system to improve production efficiency and reduce the risk of excess or shortage of stock. For further research, it is recommended to develop a forecasting model by considering external factors such as market trends and seasonality, and integrating machine learning or hybrid forecasting methods to improve prediction accuracy. In addition, the implementation of an Enterprise Resource Planning (ERP)-based system with a forecasting module can also be a solution for long-term planning efficiency.
ANALISIS PENDEKATAN FORECASTING MULTIMETODE DALAM MENENTUKAN JUMLAH PRODUKSI PADA MESIN FL-61 YANG LEBIH AKURAT Alimar, Merkudena Mahikade; Nurkhaerani, Fatma; Sukanta, Sukanta; Maulidin, Wildan Fatchan
Journal of Industrial Engineering and Operation Management (JIEOM) Vol 8, No 1 (2025)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jieom.v8i1.18139

Abstract

PT Asia Pacific Fibers (Karawang Plant), salah satu perusahaan tekstil terkemuka di Indonesia, menghadapi tantangan dalam merencanakan produksi yang efisien untuk menghindari penumpukan stok dan kekurangan pasokan. Penelitian ini bertujuan untuk menganalisis metode peramalan, yaitu Double Exponential Smoothing, Moving Average, dan Regresi Linear, guna menentukan metode terbaik untuk kebutuhan produksi perusahaan. Data jumlah produksi permintaan tahun 2023 dari mesin FL-61 digunakan sebagai sampel penelitian. Hasil penelitian menunjukkan bahwa Regresi Linear memiliki performa terbaik dengan MSE terkecil dari ketiga metode di atas, yaitu sebesar 282.815,76, MADsebesar 379,87, dan MAPE sebesar 14,43%. Temuan ini diharapkan dapat mendukung PT Asia Pacific Fibers (Karawang Plant) dalam mengoptimalkan proses produksinya, sehingga dapat meningkatkan daya saing perusahaan di pasar global. Rekomendasi untuk penelitian selanjutnya adalah mengintegrasikan teknologi IoT untuk meningkatkan akurasi dan fleksibilitas perencanaan produksi secara real-time.Kata Kunci: peramalan, double exponential smoothing, moving average, regresi linear, perencanaan produksi
Sosialisasi dan Edukasi untuk Membangun Kualitas Pelayanan BRI Cabang Indramayu Demi Kepuasan dan Loyalitas Nasabah Wahyudin, Wahyudin; Suseno, Agustian; Sutrisno, Sutrisno; Nugraha, Asep Erik; Kusnadi, Kusnadi; Fitriani, Risma; Arifin, Jauhari; Sukanta, Sukanta; Nugraha, Billy; Maulidin, Wildan Fatchan; Aminatin, Nita; Amin, Moh. Rizha Fauzi; Satria, Soma
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 6, No 2 (2025)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v6i2.5945

Abstract

Kualitas pelayanan perbankan merupakan faktor penting dalam menciptakan kepuasan dan loyalitas nasabah. Bank Rakyat Indonesia (BRI) Cabang Indramayu menghadapi tantangan dalam meningkatkan kualitas layanannya di tengah persaingan perbankan yang semakin ketat, baik dengan bank konvensional lainnya maupun layanan berbasis fintech. Untuk itu, kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kualitas pelayanan BRI melalui sosialisasi dan edukasi kepada staf dan nasabah. Program ini dilakukan melalui serangkaian kegiatan, termasuk survei kepuasan nasabah, sosialisasi layanan digital, serta pelatihan bagi pegawai bank dalam meningkatkan keterampilan pelayanan. Hasil kegiatan menunjukkan bahwa peningkatan kualitas layanan fisik (tangible) dan interaksi layanan (intangible) berdampak positif terhadap kepuasan nasabah. Sosialisasi dan edukasi yang dilakukan juga meningkatkan pemahaman nasabah mengenai layanan digital perbankan, sehingga mendukung peningkatan inklusi keuangan. Kesimpulan dari kegiatan ini menegaskan pentingnya peningkatan fasilitas layanan, penguatan kompetensi pegawai, serta edukasi berkelanjutan bagi nasabah dalam menciptakan pengalaman layanan yang optimal. Dengan demikian, upaya peningkatan kaualitas layanan secara berkelanjutan menjadi kunci dalam membangun kepercayaan dan loyalitas nasabah di tengah dinamika industri perbankan yang terus berkembang.
Analisis Pengendalian Persediaan Bahan Baku Insert Frame dengan Metode Economic Order Quantity pada PT SSI Surya Kancana, Raden Mas Galih; Suseno, Agustian; Arifin, Jauhari; Maulidin, Wildan Fatchan
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 4 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/nf00xb47

Abstract

In the manufacturing industry, optimal raw material inventory management is crucial for smooth production and cost efficiency. PT SSI faces problems in managing insert frames, which causes high ordering and storage costs. This study analyzes the application of the Economic Order Quantity (EOQ) method to determine the optimal order quantity and reduce total inventory costs. With a descriptive quantitative approach, data were collected through interviews, historical analysis of ordering and inventory costs, and calculations of EOQ and Total Inventory Cost (TIC). The results showed that the EOQ method reduced the frequency of orders from 48 to 24 times per year with an optimal order quantity of 63,155 units. Total inventory costs were also reduced from Rp 279,412,534 to Rp 230,256,690 per year, proving that the EOQ method is more efficient. The novelty of this research is the combination of EOQ with specific variables of the semiconductor industry. Further research is recommended to explore demand uncertainty and the integration of EOQ with artificial intelligence and ERP systems to improve inventory management accuracy. Keywords: Economic Order Quantity (EOQ), Inventory Control, Operational Efficiency, Optimal Order Quantity, Total Inventory Cost