cover
Contact Name
Amri Abdulah
Contact Email
amri@wastukancana.ac.id
Phone
+6285218847880
Journal Mail Official
diki.muchtar@wastukancana.ac.id
Editorial Address
Jl. Cikopak No 53 Sadang, Purwakarta, Jawa Barat
Location
Kab. purwakarta,
Jawa barat
INDONESIA
Teknologika
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)
Articles 219 Documents
Comparative Analysis of SHA-256 and BLAKE2 Algorithms: A Case Study of Processing Time Efficiency, CPU Usage, and RAM in Data Integrity Sistems on Windows and Linux Yusuf Muhyidin; Imam Ma’ruf Nugroho; Muhammad Agus Sunandar
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.675

Abstract

Data security is a fundamental aspect of modern information sistems, particularly in ensuring the integrity of transmitted and stored data. Cryptographic hash functions serve as a key technology to meet this need, with SHA-256 as the widely adopted industry standard and BLAKE2 as an alternative designed to offer higher speed on modern processor architectures. However, most previous studies compared both algorithms on a single platform and were limited to processing time parameters, without considering the influence of the operating sistem or overall resource consumption. This study aims to conduct a comprehensive comparative analysis of SHA-256 and BLAKE2 performance on two operating sistem environments, namely Windows 11 and Linux, by measuring four main parameters: execution time (ms), throughput (MB/s), CPU usage (%), and RAM consumption (MB). Testing was conducted using Python 3.13 with the hashlib, timeit, psutil, and tracemalloc libraries, on AMD Ryzen 5 5500 hardware with 16 GB DDR4 RAM. Test data was generated randomly via os.urandom() in four size variations — 1 MB, 10 MB, 50 MB, and 100 MB — each repeated 100 iterations to obtain stable average values. The results show that no algorithm is universally superior under all conditions. On Linux, BLAKE2 is faster for data sizes of 1–50 MB, while SHA-256 outperforms on 100 MB data. Conversely, on Windows, SHA-256 is faster for 1–10 MB data, while BLAKE2 significantly outperforms on 100 MB data with an execution time of 5.10 ms compared to SHA-256's 18.82 ms. The most significant finding is that Windows consumes an average CPU of 2.84–3.12%, which is three times lower than Linux at 9.68–9.84%, indicating a fundamental difference in cryptographic resource management between the two operating sistems
Desain Dies Proses Piercing dan Shearing pada Pembuatan Clamping Irwan Suriaman; Risky Maulana; Choirul Anwar; Jatira; Yadi Heryadi; TB. U. Subekhi; Dede A Rajab
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.676

Abstract

A trolley fabrication company that implements a make-to-order system in the production process. Of the several types of trolley models, one of them is the mesh model trolley where one of the components uses a clamp plate. Where the clamp plate functions to bind one component to another so that the mesh trolley can function more effectively. It is made using a press machine with Punch and Dies. In making clamping, the process used is shearing and piercing. The selection of dies will be based on the practicality of the product manufacturing process, as well as the relatively cheaper cost of making dies. In the manufacturing process of this product, a single compound die will be used. The shearing and piercing processes are only one process, so it can save a lot of time and costs. For this die planning process, the work includes the amount of cutting force, the required machine capacity, clearance, punch dimensions, dies dimensions and supporting tools used. The material used to make clamping is SPCC SD with a thickness of 3 mm. The machine capacity used is 25 tons. The cutting operational force for the shearing process is 62361.6 N, for the piercing hole process is 20267.5 N. So by using a separately made punch contour design, it can make it easier during the maintenanceprocess and the production process can be carried out in bulk.
ABC Classification Analysis for Optimizing Inventory Management of Best-Selling Products in Employee Cooperatives PT. Indofood CBP Sukses Makmur Tbk Imas Widowati; Muhammad Fariedz Fauzan Hilman
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.677

Abstract

Employee cooperatives play a strategic role in fulfilling members' daily needs; however, their success depends heavily on the effectiveness of inventory management. This study aims to identify best-selling products (fast-moving items), analyze consumer demand patterns, and design an optimal inventory control strategy at the Koperasi Karyawan Aneka Pangan Nusantara (KOPKANUS) PT. Indofood CBP Sukses Makmur Tbk, Purwakarta. The method employed was quantitative analysis of sales data from the period of June to August 2025, using ABC Classification Analysis. The results indicate that five main products — Indomie Goreng Spesial, Indomie Ayam Bawang, Ichi Ocha 350 ml, Indomie Soto Mie, and Indomie Bangladesh — belong to Class A, contributing 88.5% of the total sample revenue of IDR 98,154,600. Meanwhile, Class B products contributed 11.4% and Class C products contributed only 0.13%. Sales trends showed an increase from 8,461 units in June to 9,930 units in August 2025, yet accompanied by a high frequency of stockouts for Class A products, particularly toward the end of each month. Based on these findings, the cooperative is advised to implement a priority-based inventory control system according to product class, establish safety stock and reorder points (ROP) for Class A products, and conduct periodic evaluations of Class C products. The implementation of these recommendations is expected to reduce stockout occurrences, improve the availability of best-selling products, and optimize overall sales performance.
a Beyond Perception Scores: Structural Patterns In Employee Voice, Safety Climate, And Organizational Trust Efie Indrianti; Juan Prianto; Angelica Kurnia Herjandi; Robinson Manalu; Martiningsih
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.678

Abstract

This study explores how employees perceive organizational trust, safety climate, and their ability to express opinions (employee voice) in a labor-intensive textile manufacturing environment. The analysis is based on survey data from 2,605 employees, which is compared with the organization’s target score (95.14) and previous performance (94.70). A construct-based approach is used, focusing on four main dimensions: Employer Advocacy, Employee Voice, Safety Climate, and Perceived Knowledge Capability. The data are analyzed using descriptive statistics, comparisons across periods, and distribution patterns. The results show that the overall score remains consistently high (M=95.48), exceeding both the target and prior results. This indicates that employees generally have a positive and stable perception of their work environment. Most responses are concentrated in the highest category, with more than 82% of employees choosing “strongly agree.” While this reflects strong alignment, it also suggests that the measurement may need to be more sensitive to capture deeper insights. At the construct level, Employee Voice and Safety Climate show particularly strong performance. However, Perceived Knowledge Capability still offers room for improvement, especially in areas such as occupational health awareness, understanding of procedures, and knowledge of labor rights. Improvements are seen across all dimensions, indicating a positive overall trend. This study highlights the importance of combining perception-based surveys with behavioral data and competency validation. Such an approach can support continuous improvement, strengthen employee capabilities, and improve decision-making
Peningkatan Throughput Produksi Manufaktur dengan Simulasi DES dan Teknik Optimasi Taguchi Diki Muchtar
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.682

Abstract

Improving throughput in production is one of the main challenges in manufacturing systems. This study aims to enhance throughput by using Discrete Event Simulation (DES) combined with the Taguchi optimization technique to identify key factors influencing production performance. The simulation was conducted on a manufacturing production system with three tested factors: X1, X2, and X3, as well as two main responses: throughput (Y1) and bottleneck (Y2). Based on the simulation results, it was found that an increase in factor X3 significantly contributed to throughput improvement, while simultaneously reducing the bottleneck percentage, indicating better efficiency in the production line. For example, in experiment run 7 (X1 = 3, X2 = 0.4, X3 = 0.4), throughput reached 3,525 pieces, with a very low bottleneck percentage of 9.66%. Other simulation results also showed throughput improvements with reduced bottleneck, such as in runs 8 and 9, which had throughput of 3,524 pieces and 2,936 pieces, with bottleneck percentages of 19.66% and 15.66%, respectively, showing more optimal results. The Taguchi optimization technique was used to minimize variability and improve the quality of the production system output. The results of this study indicate that the combination of DES simulation and Taguchi optimization successfully increased production throughput significantly while reducing bottlenecks in the production process. This study contributes to the application of simulation and optimization in improving production efficiency in the manufacturing industry, with the hope that it can be adapted to various types of production systems.
Perancangan Sistem Solar Panel Tracker Menyesuaikan Kondisi Pancaran Sinar Matahari Muhammad Syahrul Rizal; Rohman; Jatira; Choirul Anwar; Yadi Heryadi; Irwan Suriaman
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.683

Abstract

Solar energy is one of the most promising and inexhaustible sources of renewable energy. Solar panels, as the primary devices for converting solar energy into electrical energy, have been widely utilized. However, issues related to the efficiency of these panels remain. Panels installed in a fixed position can only optimally absorb sunlight at a specific time of day, whereas the sun’s position shifts dynamically from east to west throughout the day. This study discusses an effective and efficient solar tracker mechanism that enables the panel to follow the sun’s movement throughout the day. The results of the study indicate that the design of a single axis solar tracker mechanism (east to west) with a target rotation of 180° over 12 hours or 15° per hourincrements requires a DC motor with a speed of 1400 rpm, an internal gearbox with a ratio of 80:1, and an external gear with a ratio of 12:1, resulting in a total gear ratio of 960:1. Consequently, the final output speed of the motor is reduced to 1458 rpm, meaning the motor only needs to be active for approximately 10.26 seconds to rotate the panel by 15° per hour.
Analisis Pengaruh Tekanan Mesin Ekstruder terhadap Kuat Tekan Hasil Produk Bata Merah Sendi Ariyandi
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.684

Abstract

This study was conducted to analyze the performance of the ekstruder machine on the production quantity and quality of the bricks produced. This aims to produce brick products with compressive strength according to standards. Experiments were conducted at three different pressures at (60; 65; 70) Psi for two samples of red bricks, namely before being burned and after being burned. The analysis shows that for the machine transmission using a type B belt with a belt circumference of 1063.622 mm, so that the V belt used by the motor is a nominal belt number 41 inches. From the results of data processing for linear regression of red bricks before being burned with a correlation value of 98.7%, it can be categorized as very strong. The linear regression of red bricks before being burned is 0.10 while alpha < 0.05 so it can be concluded that there is no significant influence on variable X with Y. The linear regression of red bricks after being burned is 0.07 while alpha < 0.05 so it can be concluded that there is no significant influence on variable X with Y. The research results obtained show that the smaller the vacuum pressure on the brick, the better the density and compression results obtained, whereas conversely the greater the vacuum pressure, the less good the results of the density and compression test results of the red brick, this occurs both in red bricks that have not been burned and those that have been burned.
Perbandingan Metode Random Forest dan LightGBM untuk Prediksi Harga Berlian: Pendekatan Probabilistik dan Statistik Daud Aldo Santoso; Yosefina Finsensia Riti
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.685

Abstract

Figuring out diamond prices in the market is actually pretty tricky because the prices go up and down a lot and depend heavily on what the diamond looks like physically. The main problem here is that people often struggle to guess the right price manually, which can easily lead to losing money if they guess wrong. Through this study, we really want to test and directly compare two smart Machine Learning tools, which are the Random Forest and LightGBM algorithms, to see which one is actually better and more reliable at forecasting these prices without just blindly guessing. For how we did it, we used a huge dataset containing about 53,940 past diamond sales as study material. This data came complete with nine main features like carat weight, cut quality, color pigment, and physical size. Before doing the math with the computer, we quickly threw away any weird or impossible data rows to keep it clean. Then, we changed all the text descriptions into numbers so the program could read them easily. Next, we split the whole dataset up so that 80 percent was used to teach the program, and the remaining 20 percent was kept purely for testing how smart their guesses really were. The test results clearly showed that Random Forest did a much better job overall. It hit a super high R² accuracy score of 0.9835, and its guesses were only off by an average of $38.89 (MAE) and an RMSE of $77.24. This easily beat the LightGBM program, which only got an R² score of 0.9830, an MAE of $41.28, and an RMSE of $78.27. In short, this research proves that the team-work or ensemble system in Random Forest is way more reliable, stable, and accurate for predicting diamond prices in the market.
indonesia Ahmad Dikin; Jatira; Ghany Heryana
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.692

Abstract

The development of electric vehicles is becoming a trend in the development of global automotive, this is supported by the development of energy storage technology and energy conversion devices that allow for an increase in overall energy efficiency in current electric motor vehicles. Therefore, the study aims to determine the effect of welding strength with 1 mm thick ST40 sphc steel plate material, this material must be tested first for the manufacture of battery casing, one of which is important in making this battery casing by welding, the welding used is SMAW (Shielded Metal Arc Welding), with current variations of 20A, 30A, and 40A. Therefore, it aims to find out which current is good in the welding process itself. With data processing of the two-way ANOVA method. The process of testing the effect of current variations on visual conditions using 40A is better than the others, Tensile Strength ????ℎ????????????????????>???????????????????????? 12.71>5.143, Yield Strength ????ℎ????????????????????>???????????????????????? 7.24>5.143, and elongation ????ℎ????????????????????<???????????????????????? 3.40<5.143.