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All Journal JRSI (Jurnal Rekayasa Sistem dan Industri) Jurnal INTECH Teknik Industri Universitas Serang Raya Airlangga Journal of Innovation Management Texere Jurnal Riset dan Inovasi Pembelajaran IMTechno: Journal of Industrial Management and Technology Jurnal Inkofar Jurnal Sains dan Informatika : Research of Science and Informatic Multidisciplinary Indonesian Center Journal Jurnal Sains dan Teknologi
Fadil Abdullah
Politeknik META Industri Cikarang
Religion Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Analytical Data for Sewing Production Efficiency: A Model Based on Artificial Neural Networks (ANNs) Abdullah, Fadil; Kusumadewi, Afriani; Martina, Tina; Kuswinarti, -; Achmad, Fandi
Texere Vol 23, No 2 (2025): Texere Volume 23 Nomor 2 Tahun 2025
Publisher : Politeknik STTT Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53298/texere.v23i2.07

Abstract

The labor-intensive apparel manufacturing sector is continually focused on meeting output goals, necessitating continuous improvements in production efficiency. Achieving targets at the lowest feasible cost is crucial for production management efficiency, especially in clothing production. The sewing component plays a vital role in enhancing the usefulness of clothing through a series of steps to produce ready-made garments. To optimize this process, we developed a model using an artificial intelligence (AI)-based method, specifically Artificial Neural Networks (ANNs), to enhance sewing production efficiency. The model focused on optimizing parameters that significantly influenced efficiency. Our results demonstrate that the ANNs model, with 1000 iterations, successfully replicates empirical data with an R-squared value of 0.98. The research introduces the novel use of an ANNs model with a five-node configuration and 1000 iterations, proving effective in optimizing sewing process parameters. This AI-based approach is a powerful tool for improving production efficiency in the textile industry, making significant theoretical and practical contributions. The findings offer substantial practical implications for practitioners in the textile industry and provide a robust framework for optimizing sewing production process parameters to achieve higher efficiency.
Optimasi Perencanaan Produksi Menggunakan Linear Programming dan Analisis Sensitivitas Pada UMKM Coffee Suganda Majalengka Hamidah, Siti Nur; Aprilia, Hafiza; Abdullah, Fadil
IMTechno: Journal of Industrial Management and Technology Vol. 7 No. 1 (2026): Vol. 7 No. 1 (2026): Januari 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/imtechno.v7i1.11608

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in the angkringan-based coffee shop sector have significant economic potential; however, many of them still face challenges in production decision-making due to limited resources and the lack of data-driven planning. This study aims to optimize the beverage production mix at Coffee Suganda, an MSME coffee shop located in Majalengka Regency, which produces 25 product variants, with three main products: palm sugar milk coffee, creamy milk coffee, and chocolate. The research applies Linear Programming (LP) to maximize profit under constraints related to raw materials, production time and is further strengthened by sensitivity analysis to examine the robustness of the optimal solution under parameter changes. Research data were collected through field observations, interviews with the business owner, and records of production and sales activities. The results indicate that the Linear Programming approach provides a more optimal production combination compared to the existing conditions and improves resource utilization efficiency. The sensitivity analysis reveals that changes in raw material availability and selling prices significantly affect the optimal solution, highlighting the importance of adaptive production planning. This study contributes practical insights for angkringan-based coffee shop MSMEs in developing data-driven and adaptive production strategies, as well as academic contributions to the literature on MSME production optimization
A MATHEMATICAL MODEL OF GPS SATELLITE TIME AND FREQUENCY BASED ON THE SPECIAL THEORY OF RELATIVITY Purnomosari, Endah; Dewi, Siska Astari; Mulyani, Wiwiek Eka; Putra, Valentinus Galih Vidia; Abdullah, Fadil
Jurnal Inkofar Vol 9, No 2 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v9i2.475

Abstract

The Global Positioning System (GPS) relies on highly precise atomic clocks in satellites and ground stations to determine global time and position accurately. Relativistic effects, including gravitational fields and satellite orbital motion, induce frequency shifts in these clocks, necessitating corrections for accurate navigation. This study developed a novel approach to integrate general coordinates into GPS, emphasizing implementation simplicity. We investigated the application of special relativity to calculate time and frequency shifts in GPS satellites. Our analysis estimated a daily relativistic correction of approximately 21.6 microseconds, with a positional imprecision of 6.48 km per day if uncorrected. By employing a general time-space coordinate system, we calculated position-4 and velocity-4 vectors, accounting for special relativistic effects on GPS time and frequency. The proposed method simplifies relativistic corrections while enhancing their conceptual clarity. Results demonstrate improved precision and efficiency in GPS positioning through the integration of general coordinates with a streamlined approach. This research offers valuable insights for international engineering communities, scholars, and practitioners, advancing the understanding of relativity’s impact on GPS satellite operations.
ANALISIS KELAYAKAN USAHA KECIL RFP WAROENG TANSU Aprilia, Hafiza; Abdullah, Fadil; Hamidah, Siti Nur
Jurnal Inkofar Vol 9, No 2 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v9i2.426

Abstract

This paper examines the feasibility of Waroeng Tansu Om RFP, a culinary business in Bandung that offers traditional ketan (sticky rice) dishes with modern toppings. The study explores whether the business can sustain profitability and growth in Bandung’s competitive culinary market local. The research problem focuses on determining whether Waroeng Tansu Om RFP is financially feasibility. The novelty in its focus integrates traditional culinary practices with modern digital strategies like food delivery platforms and proposes a dedicated business app. The research using method of market analysis (segmentation, targeting, and positioning) and financial feasibility assessment using. Data on costs, revenues, and customer demographics were analyzed. The findings reveal a positive NPV of Rp 1,131,557,216, an IRR of 79%, and a payback period within 3 years, with a BCR greater than 1, suggesting financial feasibility. The study concludes that Waroeng Tansu Om RFP is a viable business with potential for growth. The key takeaway is that combining traditional foods with modern innovations can lead to success in competitive markets.
RANCANG BANGUN SISTEM INTENET OF THINGS DALAM PENGECEKAN KERUSAKAN BARANG BERBASIS BERBASIS ANDROID Novian, Mikhael Dio; Asshiddiq, Fajar Rasyid; Abdullah, Fadil; Anggara, Ikbal; Noval, Muhammad; zulfadillah, zulfadillah; Fathani, Moh. Ayip
Jurnal Inkofar Vol 9, No 2 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v9i2.485

Abstract

Product damage is a common problem in storage and distribution processes, particularly due to impacts, temperature fluctuations, and uncontrolled humidity. Limitations of manual inspection systems often result in inefficient and non–real-time damage detection. This study aims to design and develop an Internet of Things (IoT) system based on Android for automated and integrated product damage inspection. The proposed system utilizes sensors to detect physical parameters that may indicate potential damage, such as vibration and environmental conditions. Sensor data are transmitted wirelessly to a server and presented through an Android application, enabling real-time monitoring of product conditions. The research methodology includes hardware design, software development, and functional system testing. The experimental results demonstrate that the system is capable of detecting and displaying indications of product damage with good reliability and fast response time. Therefore, the developed system is expected to improve monitoring efficiency, reduce the risk of product damage, and support more accurate decision-making.
PENINGKATAN EFISIENSI PENCELUPAN KAIN KAPAS BERBASIS PERLAKUAN KATIONISASI CHPTAC Riswandi, Andri; Maulinawati, Susi; Kusumadewi, Afriani; Abdullah, Fadil
Jurnal Inkofar Vol 9, No 2 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v9i2.494

Abstract

Reactive dyeing processes generally exhibit a relatively low fixation efficiency, ranging from 50% to 70%, which results in approximately 35% to 35% of the dye being discharged into the dyeing wastewater. In this study, cotton fabric was treated with a cationizing agent, CHPTAC, at a concentration of 5%, combined with different NaOH concentrations of 15%, 25%, and 35% relative to CHPTAC, using the exhaust method. The dyeing process was carried out using color Red Type A(vinyl sulfone type) and color Red Type B (monochlorotriazine type) reactive dyes. The results indicated that the cationized cotton fabric exhibited higher dye uptake compared to the untreated fabric. This improvement was confirmed by FTIR analysis, which showed the formation of N–H functional groups within the wavenumber range of 1580 cm⁻¹ to 3490 cm⁻¹. Furthermore, the color strength (K/S value) for vinyl sulfone dyed fabric increased from 1,65 for non-cationized samples to 3,31 for samples treated with 5% CHPTAC and 35% NaOH. Similarly, in monochlorotriazine dyeing, the K/S value increased from 2,04 for untreated fabric to 4,07 after the cationization process. The rubbing fastness test demonstrated satisfactory results, with dry rubbing values in the range of 4–5 and wet rubbing values between 3–4 and 4–5 for both vinyl sulfone and monochlorotriazine reactive dyes applied to 100% cotton fabric
Co-Authors - Kuswinarti, - Afriani Kusumadewi Agus Widodo Anggara, Ikbal Aprilia, Hafiza Asshiddiq, Fajar Rasyid Barus, Wan Habibi Rahman Candrawati, Nia Dayani, Camillana Calistafo Dewi, Siska Astari FANDI ACHMAD Fathani, Moh. Ayip Hamidah, Siti Nur Haryanto, Agung Ihsan, Muhammad Alif Iphov Kumala Sriwana Joko Prasetyo Kusrianto, Adi Maharani, Nadiya Maulinawati, Susi Muhamad Atho Rifaitulloh Muhammad Noval mulyani, wiwiek eka Noval, Muhamad Novian, Mikhael Dio Nurmalinda Rahmawati Purnomosari, Endah Putra, Valentinus Galih Vidia Putri, Safira Hutama Rahmawati, Nurmalinda Riswandi, Andri Tina Martina, Tina Valentinus Galih Vidia Putra Widarini, Wari zulfadillah, zulfadillah