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Contact Name
Tiara Nurhuda
Contact Email
sainteksjournal.unbar@gmail.com
Phone
+6282231502165
Journal Mail Official
sainteksjournal.unbar@gmail.com
Editorial Address
Jl.Pasir Kaliki No. 199 Bandung, Jawa Barat
Location
Kab. sidoarjo,
Jawa timur
INDONESIA
Sainteks: Jurnal Sain dan Teknik
ISSN : -     EISSN : 26858304     DOI : https://doi.org/10.37577/sainteks.v5i2
Sainteks is a scientific journal that publishes research papers encompassing all aspects of natural sciences, technology and engineering. This journal is published 2 (two) times a year (March and September) by the Faculty of Engineering UICM d/h UNBAR. The fields covered by the Sainteks Journal include: - Chemical Engineering - Textile Chemical Technology - Industrial Engineering - Science - Textile Industry Technology - Environment
Articles 16 Documents
Search results for , issue "Vol 7 No 02 (2025): September" : 16 Documents clear
Integration of AHP and SAW Methods for Disaster Evacuation Location Selection in Cimahi City Shabrina, Fitriana Nur; Syafrianita, Syafrianita; Lestiani, Melia Eka
Sainteks: Jurnal Sain dan Teknik Vol 7 No 02 (2025): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v7i02.935

Abstract

This study was conducted in Cimahi City, West Java Province, and aims to determine suitable evacuation sites by identifying relevant criteria, evaluating existing sites, selecting the most appropriate locations, and assessing vehicle compatibility for emergency access. The research used the AHP and SAW methods. Data were collected through Focus Group Discussions, questionnaires, and field observations. The study identified four main criteria and eleven sub-criteria: land use: land ownership, land area, and land suitability; accessibility: proximity to evacuation routes and road networks; infrastructure availability: proximity to the cimahi bpbd office, security facilities, medical facilities, and clean water facilities; and environmental factors: secondary hazards and pollution sources. The results showed that the most suitable evacuation sites based on the combined weight of sub-criteria are: Alun-Alun Cimahi (Cimahi Tengah), Lapangan Dapenma Pamsi (Cimahi Selatan), Lapangan Arhanud (Cimahi Tengah), Lapangan Manunggal Brigif (Cimahi Selatan), Lapangan Bola P4TK BMTI/TTUC (Cimahi Utara), and Lapangan Cibaligo (Cimahi Utara). All evacuation sites can be accessed by all types of vehicles owned by the Cimahi City BPBD, such as ranger cars, trail motorcycles, water tank trailers, pickup trucks, and field kitchen trucks.
Rainfall Data as an Indicator of Climate Change (Case Study: Kuta District, Badung Regency) Yasa, I Putu Bagus Reka Sugita; Pujianiki, Ni Nyoman; Pariartha, I Putu Gustave Suryantara
Sainteks: Jurnal Sain dan Teknik Vol 7 No 02 (2025): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v7i02.941

Abstract

Climate change is a global issue that has a clear impact on rainfall patterns, especially in coastal areas. This study examines rainfall changes in Kuta District, Badung Regency, using CHIRPS satellite data from 1981 to 2024. The validity of CHIRPS data was confirmed by comparing it with data from the Ngurah Rai meteorological station (1 station; 1981–2020 period; monthly scale) by matching the CHIRPS grid to the station location. The validation showed a high level of accuracy (r = 0.934; R² = 0.878), thus proving the reliability of CHIRPS as a data source. Trend analysis using the Mann-Kendall test, along with Sen's slope calculation (+7.92 mm/year; 95% CI), showed a statistically significant increase (p < 0.05). Furthermore, trend testing on the extreme rainfall intensity index (R50mm, RX1day) revealed an increase in the frequency of heavy rainfall after 2019, which was confirmed by indications of abrupt changes based on the Pettitt test. The results of this study align with scientific publications and climate change projections in tropical regions. These findings emphasize the importance of monitoring using remote sensing technology in areas with limited rain gauge stations. These findings imply the need to formulate adaptation strategies related to hydrometeorology and improved water resource management.
Influence of Sodium Hydroxide Concentration and Soaking Duration on Absorbency and Weight of Tencel Fabric During Mercerization Putra, Rafly Prahmantia; Komalasari, Maya; Luciana, Luciana
Sainteks: Jurnal Sain dan Teknik Vol 7 No 02 (2025): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v7i02.942

Abstract

Tencel fabric has characteristics similar to cotton fibers but possesses the durability of synthetic fibers. It is produced using environmentally friendly technology. Tencel is made with the solvent NMMO (N-methylmorpholine-N-oxide), which is recyclable up to 99%. This fabric is derived from cellulose fibers or regenerated cellulose fibers. The advantages of tencel include good absorbency, luster, and tensile strength. This study aims to determine the optimal concentration of caustic soda (sodium hydroxide) and soaking time in the mercerization process during the finishing preparation of tencel fabric, focusing on weight reduction, absorbency, tensile strength, dimensional stability, and fiber morphology. Tencel is known for its easy fibrillation in wet conditions and significantly high tensile strength. Previous studies have shown that alkali treatment can enhance absorbency and luster. Mercerization was carried out with variations in caustic soda concentration at 7, 9, 11, and 13 °Be and soaking times of 30, 45, and 60 seconds. The results showed that higher caustic soda concentrations and longer soaking times led to decreases in weight, tensile strength, and dimensional stability. However, absorbency increased up to a certain concentration before declining again. This is also influenced by changes in fiber morphology due to the mercerization process using caustic soda. The optimum point was determined using a ranking and weighting method based on test results and evaluation of tencel fabric. The optimal mercerization condition was found at a caustic soda concentration of 9°Be with a soaking time of 45 seconds, yielding a weight reduction of 4.07%, absorbency of 4.5 cm/2 minutes, warp direction tensile strength of 6.34 N and weft direction of 7.5 N, and dimensional stability of 6.8% in the warp direction and 2.4% in the weft direction.
Analysis of Cable Part Defects in DL02 Identical E-KTP Reader with Failure Mode and Effect Analysis (FMEA) Approach at PT X Yulianti, Dini; Diniyah, Annisa Nurfalah
Sainteks: Jurnal Sain dan Teknik Vol 7 No 02 (2025): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v7i02.951

Abstract

PT X produces and sells the e-KTP Reader, specifically the “Identik DL 02” model, which is an electronic reader device for the Indonesian electronic ID card (KTP-el). A quality issue was found in this product, particularly in the cable parts, where a high number of defects occurred. The defective parts included four types of cables: fingerprint cable, chipset cable, on-off button cable, and battery cable. To analyze these defects, the Failure Mode and Effect Analysis (FMEA) method was applied. FMEA is a robust risk assessment method that evaluates potential risks in the design, production, and service stages of a company’s operations, aiming to reduce or eliminate such risks. The goal of FMEA is to ensure that products meet customer requirements, analyze product characteristics from the design phase, identify the causes and effects of failures, determine types of failures, and establish corrective actions to eliminate them. In this study, two tools from the seven quality tools were used: the Fishbone diagram and Pareto chart. The Fishbone diagram was used to identify cause-and-effect relationships for cable part defects, while the Pareto chart was employed to analyze processed data. Based on the FMEA calculation, the chipset cable was identified as the component with the highest potential defects. The most critical defect was found in the PVC insulation of the chipset cable, with the highest Risk Priority Number (RPN) value of 1,060. The main contributing factor was equipment, which had an RPN value of 385.
Optimation of Social Assistance Recipient Determination Using K-Means Clustering Algorithm and K-Nearest Neighbour Algorithm Prakarsa, Graha; Rahadiyanti, Nira; Nursyanti, Reni; Hadiantini, Ratih
Sainteks: Jurnal Sain dan Teknik Vol 7 No 02 (2025): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v7i02.952

Abstract

Determining the status of the family as recipients of assistance is very important, so that aid can be distributed accurately. Data mining takes advantage of experience or even mistakes in the past to add quality based on examples as well as the results of the analysis, one of which uses the capabilities of data mining techniques, namely clustering & classification. The purpose of this research is to determine the right beneficiaries. K-Means Clustering and K-Nearest Neighbor are 2 data mining problem solving algorithms used in selecting beneficiaries. Both of these troubleshooting algorithms make good performance. However, to be widely used, it is necessary to research which algorithm has higher accuracy. Based on this, in this study a comparison of the K-Means Clustering and K-Nearest Neighbor algorithms was carried out on the problem of selecting beneficiaries. Comparisons were made using 1760 data. Based on the tests that have been carried out, beneficiaries using k-means clustering got as much as 65.145% while K-Nearest Neighbor as much as 99.6501%. This shows that the K-Nearest Neighbor problem solving algorithm has higher accuracy.
A Feasibility Study Of 100 Kl/Day Bioethanol Plant From Sugarcane Production As Part Of National Energy Mix Strategy Oetomo, Dedy Setyo
Sainteks: Jurnal Sain dan Teknik Vol 7 No 02 (2025): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v7i02.959

Abstract

This study evaluates the technical and economic feasibility of constructing a 100 KL/day bioethanol production plant from sugarcane as part of Indonesia's national energy mix strategy. The research employs comprehensive analysis including mass balance, energy balance, technical design, and financial evaluation. The plant design utilizes fermentation and distillation processes with an annual production capacity of 36,500 KL bioethanol. Mass balance calculations show that 1,200 tons/day of sugarcane feedstock is required, producing 100 KL ethanol, 480 tons bagasse, and 120 tons vinasse daily. Energy balance analysis indicates the plant can achieve energy self-sufficiency through bagasse combustion for steam and electricity generation. Technical evaluation confirms the feasibility of implementing proven bioethanol production technology. Financial analysis reveals total investment requirement of USD 45.2 million with Net Present Value of USD 12.8 million, Internal Rate of Return of 18.5%, and payback period of 6.2 years at 12% discount rate. Sensitivity analysis demonstrates project robustness against feedstock price and ethanol selling price variations. The study concludes that the bioethanol plant is technically feasible and economically viable, contributing significantly to Indonesia's renewable energy targets and rural economic development while reducing dependency on fossil fuel imports

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