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Teknologika
Published by Sekolah Tinggi Teknologi Wastukancana Purwakarta
ISSN : 16932978     EISSN : 27154645     DOI : https://doi.org/10.51132/teknologika.v12iNo%202
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Mechanical Engineering Other
Jurnal Teknologika adalah wadah informasi berupa hasil penelitian, studi kepustakaan maupun tulisan ilmiah yang terkait bidang ilmu Teknik Informatika, Teknik dan Manajemen Industri, Teknik Mesin dan Teknik Tekstil. Terbit dua kali setahun pada bulan Mei dan November. Artikel Jurnal Teknologika dalam versi cetak telah di-online-kan menggunakan Open Journal System (OJS)
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 16 Documents
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Search results for , issue "Vol 15 No 1 (2025): Jurnal Teknologika" : 16 Documents clear
Factors Affecting Share Prices With the Role of Capital Structure as Intervening Andriani, Ratih; Rita Yunita Resmi; Dewi Widiarti
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.435

Abstract

This research aims to analyze the influence of profitability, asset structure, sales growth, and interest rates on stock prices with capital structure as an intervening variable. The research object takes companies that are included in the LQ45 index. The sampling method used is purposive sampling. With the established criteria, 16 companies were obtained as the research sample. The variables used are profitability proxied by Return On Equity (ROE), asset structure, sales growth, interest rates proxied by Bank Indonesia Certificates (SBI), capital structure proxied by Debt to Equity Ratio (DER), and stock price. The data analysis technique used is path analysis.Based on the research results, it shows that partially only profitability affects stock prices. Simultaneously, profitability, asset structure, sales growth, and interest rates together affect stock prices by 12.3%, while profitability, asset structure, sales growth, and interest rates simultaneously affect capital structure by 15.6%. Based on path analysis, capital structure weakens the effect of profitability on stock prices, capital structure weakens the effect of asset structure on stock prices, capital structure weakens the effect of sales growth on stock prices, and capital structure weakens the effect of interest rates on stock prices.
Analisis Pemanfaatan Exhaust Fan Skala Rumah Terhadap Kinerja Turbin Angin Tipe Savonius Sumbu Vertikal Dharmawan, Quewys Alqorni Mada; Anwar, Choirul; Jatira, Jatira; Abdulah, Amri
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.436

Abstract

The fossil fuel crisis in Indonesia, which contributes 85% of the national energy mix, has driven the need to utilize renewable energy sources, one of which is exhaust wind as industrial waste energy that has high speed (5-7 m/s) and good flow continuity. This study developed a vertical Savonius turbine with variations in exhaust-turbine distance (20, 30, 40 cm) and measured wind speed (5.3, 6, 6.4 m/s) to optimize the utilization of this energy. The results showed that the 20 cm configuration produced the best performance with a maximum power of 5.98 watts at a speed of 6.4 m/s and a Coefficient Performance (CP) of 0.16, which is 31% more efficient than a distance of 40 cm, proving the potential of exhaust wind as a renewable energy solution that is applicable in industry with a payback period of less than 3 years and the potential for reducing the load on the electricity network by up to 15%.
Warehouse Controlling System Menggunakan Node MCU ESP32 Dan Implementasi Python Sebagai Visualisasi Data Sensor Secara Real-Time Rizhan Dwi Putra Herlambang; Missi Hikmatyar; Shinta Siti Sundari
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.440

Abstract

Warehouse management in large industries and SMEs (Small and Medium Enterprises) in Indonesia is a critical aspect that must be addressed seriously. Most warehouse systems still rely on manual processes, such as checking humidity, temperature, and gas levels in the storage area. This approach is inefficient as it requires significant time and manpower for regular monitoring. Manual operations using human resources have limitations in terms of labor, time efficiency, accuracy, and operational costs, such as employee wages. To address these challenges, this study proposes the development of an automated system based on the ESP32 microcontroller, which serves as a full controller, utilizing the DHT-11 sensor for temperature and humidity measurement, and the MQ-135 sensor for gas detection. Additionally, Python programming is implemented for data visualization, allowing real-time display on a laptop or computer to facilitate warehouse monitoring. The system developed is designed to read, control, and transmit sensor data. It can measure humidity, temperature, and gas concentration (PPM) and control actuators, such as a relay to activate a buzzer or light, according to the algorithm programmed into the ESP32. The results indicate that the system is capable of reading temperature and humidity with a data error rate of 6%, and gas concentration with an error rate of 2%. Additionally, the data transmission and visualization are functioning properly, in real-time
Analisis Pengendalian Kualitas Menggunakan Metode FTA dan FMEA Untuk Mengurangi Produk Cacat Serat Rayon di PT. XYZ Akbar, Ali; Bintang Nidia Kusuma; Osep Hijuzaman; Sheva Parian Pushya
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.443

Abstract

This research was conducted at PT. XYZ is engaged in the textile industry. The problem was experienced due to defects in the Rayon Fiber production process. The purpose of the study was to determine the Rayon Fiber production process at PT. XYZ, to determine the factors causing defects using the Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) methods, and to provide suggestions for improvement to reduce product defects. The results of the observation showed that there were three types of defects, including White Brightness, Yellow Brightness, and Damaged Wrapping. Of the three aspects, the most dominant types of defects were White Brightness, and Damaged Wrapping seen in the production process in December with a percentage of defects of 14.8%. From the Pareto diagram, it is clear that three problems cause defective goods. To reduce the number of faulty goods, the most common issues - namely, damaged wrapping and white brightness defects - must be addressed by fixing the most defective goods using the 80%/20% approach. After obtaining the severity, occurrence, and detection values related to window product defects, the RPN value will be calculated by multiplying the values above (RPN = S x O x D). By doing the repairs, it resulted in improvements marked by a decrease in the RPN value from 1290 to 553 or 42.8%. The root cause of the problem was because the operator did not follow the existing work standards and did not use the navigation system during the production process. From the results of the study, several suggestions for improvement were obtained, namely conducting periodic supervision and providing re-training to operators regarding the importance of working according to SOP.
Pembuatan dan Karakterisasi Benang Polipropilena (PP) Side by Side Dengan Menggunakan Mesin Pemintalan Leleh Indrianti, Efie; Manalu, Robinson; Prianto, Juan; Martiningsih
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.444

Abstract

The research develops a synthetic yarn with combination of 2 polymers (bicomponent) to produce a bicomponent yarn with certain characteristics. The bicomponent polypropylene yarn side by side was successfully carry out in this research and the result were analyzed. The yarn tensile strength is 3.80 g/denier, the elongation is 78.89 %, and the yarn number is 72 denier, according to the results of the analysis. The morphology of the longitudinal and transverse bicomponent yarns was examined under a microscope, revealing the bicomponent yarn's side-by-side structure, which created two colored yarns, black and white.
Strategi Peningkatan Penjualan Kendaraan Bekas dengan Analisis SWOT Widowati, Imas; Michelle Ratulangi; Daisy Ade Riany; Sutardjo
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.445

Abstract

Marketing strategy is an important activity to carry out in order to achieve sales targets or by seeking a wage or profit advantage. This research aims to analyze and determine marketing strategies to increase sales of used cars and motorbikes at PT. UC Auction (Carsome). Data collection methods in this research are observation, interviews and literature as well as identification of internal and external factors, SWOT analysis with the SWOT matrix. The type of research methodology used is a qualitative descriptive method. The findings from this research show tha there are internal and exsternal factors in used cars and motorbike marketing strategy. PT. UC Auction (Carsome), that in 2023 sales of used cars and motorbike from PT. UC Auction (carsome) is still not optimal, this because the are more competitors selling the same vehicles. We recommend that PT. UC Auction (Carsome) is increasing digital marketing to keep up with the development of increasingly broad and modern marketing strategies
Sistem IoT Dan Kecerdasan Buatan Terintegrasi Untuk Optimalisasi Kondisi Lingkungan Kandang Ayam Closed House Komaludin, Deden; Sofyan, Hadi
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.446

Abstract

Gas paparan amonia (NH₃) dalam kandang ayam close house dapat menurunkan produktivitas dan meningkatkan mortalitas ayam boiler. Penelitian sebelumnya telah mengembangkan sistem IoT untuk menjaga kadar amonia, suhu, dan kelembaban. Namun, sistem tersebut belum dilengkapi dengan mekanisme pengendalian otomatis berbasis kecerdasan buatan (AI)..Lingkungan kandang ayam close house yang tidak terkontrol dapat meningkatkan kadar amonia (NH₃) dan memicu stres termal pada ayam boiler, menurunkan produktivitas hingga 15%. Penelitian ini sistem IoT berbasis kecerdasan buatan (AI) untuk mengembangkan dan mengendalikan kadar amonia, suhu, serta kelembaban secara otomatis. Penelitian ini bertujuan untuk mengembangkan sistem IoT yang terintegrasi dengan pembelajaran mesin algoritma untuk memprediksi kadar amonia dan mengoptimalkan ventilasi serta pemberian pakan secara otomatis. Metode yang digunakan meliputi pengumpulan data secara real-time menggunakan sensor MQ135, DHT22, dan sensor oksigen, serta penerapan algoritma Random Forest untuk analisis prediktif. Sistem terdiri dari jaringan sensor MQ135 (amonia), DHT22 (suhu/kelembaban), dan ESP32 sebagai pengontrol utama, dengan algoritma Random Forest untuk prediksi kenaikan amonia. Hasil uji coba selama 60 hari di kandang komersial menunjukkan akurasi pengukuran 98.7% (RMSE = 0.4 ppm), respon sistem <3 detik, dan penurunan mortalitas ayam sebesar 22%. Sistem ini juga mengoptimalkan konsumsi energi ventilasi hingga 30% melalui mekanisme kontrol berbasis penguatan pembelajaran. Temuan ini membuktikan bahwa integrasi IoT-AI mampu menciptakan lingkungan kandang yang stabil (suhu: 20±1.5°C, NH₃ <15 ppm) sekaligus meningkatkan efisiensi operasional peternakan
A Dynamic System Model for Multi-Echelon Inventory Policy Optimization Considering Bullwhip Effect and Supply chain Disruptions in the Sport Footwear Industry oetomo, Dedy Setyo; Fajar Ramdhani, Rizky; Hermawan, Asep
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.447

Abstract

This research develops a dynamic system model to optimize inventory policies in multi-echelon supply chains within the sport footwear industry, addressing challenges from the bullwhip effect and supply chain disruptions. The sports footwear sector faces unique inventory management challenges due to complex demand patterns influenced by seasonality, fashion trends, and competitive dynamics. Our comprehensive system dynamics model captures the intricate relationships between four supply chain echelons: retailers, distributors, manufacturers, and raw material suppliers. The model integrates machine learning algorithms—specifically Long Short-Term Memory (LSTM) neural networks—for adaptive demand prediction and employs genetic algorithm optimization to determine optimal inventory parameters under various disruption scenarios. Using real-world data from a leading sports footwear manufacturer, we validated the model under normal operations and three distinct disruption scenarios: raw material shortages (45% reduction for 6 weeks), manufacturing capacity constraints (30% reduction for 8 weeks), and transportation disruptions (doubled lead times for 4 weeks). Results demonstrate that our proposed hybrid model reduces overall inventory costs by 18.7% compared to traditional policies while maintaining a 97.2% service level. The integration of machine learning for demand forecasting reduced prediction errors by 43.6% compared to conventional methods, directly mitigating the bullwhip effect by decreasing the order variability coefficient from 0.89 to 0.61 at the supplier level. Furthermore, the model enhanced supply chain resilience by reducing recovery time by 42% following major disruptions. This research contributes to the theoretical understanding of complex supply chain dynamics and practical applications for inventory management in volatile industries, offering a robust framework for decision-making under uncertainty.
Heat Transfer Fluid Deposit in Retainer of Mechanical Seal Heryadi, Yadi; abdulah, Amri; Djafar Shieddieque, Apang; Ardi Rajab, Dede; Suripto, Heri; Setiawan, Dibyo; Solehudin, Agus
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.450

Abstract

Mechanical seals in industrial pumps play a critical role in preventing heat transfer fluid leakage, especially under high-temperature operating conditions. A key component of this system is the seal head, which functions as a compression mechanism through a spring to maintain contact between sealing surfaces. However, the spring's performance can deteriorate due to the accumulation of deposits resulting from prolonged exposure to elevated temperatures, operating pressure, and fluid degradation—ultimately leading to seal failure and fluid leakage. This study aims to investigate the thermal stability of the reservoir fluid Therminol 66 (TM-66) and its impact on seal performance under long-term thermal exposure. The methodology includes direct observation of failed seals, thermogravimetric analysis (TGA) at temperatures of 75, 150, 250, and 350 °C for durations of 3, 6, and 12 hours, and chemical characterization using Fourier Transform Infrared Spectroscopy (FTIR). Additionally, thermal degradation behavior was assessed through activation energy estimation based on weight loss data obtained from TGA. FTIR results revealed that phenylcyclohexane is the dominant compound in TM-66, with a relative intensity of 0.803119. The thermogravimetric data demonstrated that higher temperatures and longer exposure times significantly accelerated fluid evaporation and mass loss. The activation energy analysis confirmed that thermal degradation is more likely to occur under extended high-temperature conditions. These findings highlight the importance of maintaining reservoir fluid temperature below 75°C to minimize deposit buildup in the seal chamber and ensure the long-term reliability and efficiency of the mechanical seal system.
Analisis Pengendalian Kualitas Produk Compound Dengan Model Seven Tools Di PT Velasto Indonesia Sutartiah, Farliana; Zamal , Raqib; Putri, Pandena Kicky Basuki
Jurnal Teknologika Vol 15 No 1 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i1.451

Abstract

This study focuses on quality control using the QC Seven Tools method to reduce product defects in compound production at PT Velasto Indonesia, located in Purwakarta Regency. Defective products can lead to increased production costs, decreased customer satisfaction, and reduced competitiveness. Therefore, identifying the root causes of defects and implementing effective control measures are essential. The QC Seven Tools—comprising Check Sheets, Histograms, Pareto Diagrams, Cause-and-Effect Diagrams, Control Charts, Scatter Diagrams, and Flowcharts—are applied to analyze and monitor the production process. This study uses primary data collected from direct observations, interviews with production staff, and company production records. Analysis using the Pareto Diagram revealed that the most frequent defects in compound products were surface roughness, inconsistent texture, and contamination. The Cause-and-Effect Diagram identified potential root causes such as machine malfunctions, operator error, and inconsistent raw material quality. Control Charts were utilized to observe process stability, while Scatter Diagrams helped identify correlations between variables affecting quality.The results showed that implementing corrective actions based on QC tool analysis—such as machine maintenance scheduling, operator training, and supplier quality control—led to a significant reduction in defect rates. This demonstrates that the QC Seven Tools are effective in identifying, analyzing, and resolving quality issues in manufacturing processes. Overall, this study highlights the importance of structured quality control approaches in achieving continuous improvement and operational efficiency. The findings provide practical insights for other manufacturing companies aiming to minimize defects and improve product quality through systematic problem-solving techniques.

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