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Sainteks: Jurnal Sain dan Teknik
Published by Universitas Insan Cendekia Mandiri
ISSN : -     EISSN : 26858304     DOI : https://doi.org/10.37577/sainteks.v5i2
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering
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
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 161 Documents
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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
A Product Layout Design For Finished Goods Warehouse Of Instant Noodle Industry Using Systematic Layout Planning (SLP) Method Asep Hermawan; Dedy Setyo Oetomo
SAINTEKS : Jurnal Sain dan Teknik Vol. 8 No. 01 (2026): Maret
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v8i01.992

Abstract

Warehouse layout optimization in the food manufacturing industry remains a critical yet underexplored challenge, particularly for multi-product operations with heterogeneous storage requirements and high-throughput demands. Previous studies have predominantly focused on single-criterion evaluations or general industrial settings, leaving a notable gap in the application of comprehensive, multi-criteria Systematic Layout Planning (SLP) frameworks to finished goods warehouses in the food sector. This study addresses that gap by designing an optimal product layout for a finished goods warehouse in an instant noodle manufacturing facility with an annual production capacity of 20 million units. The SLP method was implemented through six structured phases: activity relationship analysis, space requirements determination, relationship and space diagram construction, alternative layout generation, and weighted multi-criteria quantitative evaluation. Three layout alternatives were systematically assessed using criteria encompassing material handling efficiency, space utilization, operational flexibility, and implementation cost. The U-shaped layout emerged as the optimal design, attaining the highest weighted evaluation score and demonstrating substantial reductions in material handling distance and operational cost relative to conventional linear configurations. The findings confirm that the SLP method provides a robust and replicable framework for warehouse layout optimization in multi-product food manufacturing environments, offering actionable guidance for facility planners confronting analogous operational constraints.
Design IoT-Based Monitoring and Water Control System for Temperature, Humidity, and Ammonia Gas Detection in Chicken Coops Using Blynk Agung Mumahad Toha; Deri Bahtiar; Iksal Rachman; Yayan Mulyana
SAINTEKS : Jurnal Sain dan Teknik Vol. 8 No. 01 (2026): Maret
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v8i01.993

Abstract

The poultry industry represents a high-potential sector, yet it currently faces critical challenges in maintaining stable temperature, humidity, and air quality (ammonia gas), which directly impact poultry health, as well as inefficiencies in manual water resource management. This research aims to design and implement an Internet of Things (IoT)-based system for monitoring environmental parameters and controlling water supply using the Blynk platform. The research methodology employed an experimental research and development (R&D) approach, encompassing hardware design (ESP8266, DHT22, MQ135), software development via Arduino IDE, and field testing conducted over five days with periodic data collection at four-hour intervals. The results indicate that the system successfully monitored daily average temperatures ranging from 29.2°C to 30°C (ideal for ±3-week-old broiler chickens), humidity levels between 79% and 81.4%, and real-time ammonia gas concentrations of 17.2–20.1 ppm. Furthermore, the water pump control mechanism, managed through the Blynk application via a relay module, proved effective in precisely meeting hydration requirements, supplying 83.6 ml every four hours for a population of five chickens. Final evaluations demonstrate that the system operates stably and accurately, enhancing the operational efficiency of modern and responsive poultry farming, although its performance remains highly dependent on stable internet connectivity.
Application of Forecasting and EOQ Methods as an Effort to Control Raw Material Inventory for Implora Lip Cream Products Ni Luh Putu Hariastuti; Vegha Swastiana Widyawati
SAINTEKS : Jurnal Sain dan Teknik Vol. 8 No. 01 (2026): Maret
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v8i01.1005

Abstract

The phenomenon of the rapidly growing cosmetics industry in Indonesia aligns with Indonesia's growing population and increasingly diverse needs. Implora Sukses Abadi Company, as a cosmetics company, plays an important role in the growth of this industry through its flagship lip cream. The high consumer demand for lip cream often cannot be met due to limited supply. Therefore, the Company must plan to control inventory by applying forecasting methods to predict the amount of lip cream production in the future period. Quantitative forecasting based on historical data from lip cream production results is used, and inventory control is implemented using the economic order quantity (EOQ) method. Based on the results of this study, the exponential smoothing method was the best forecasting tool, with the smallest MSE of 453,332.6. This is supported by other error value indicators that also achieve the smallest values, such as the MAD and MAPE, at 1,226.364 and 51.613, respectively. The optimal policy for the amount of inventory control costs for each raw material was obtained: PURI of Rp. 858,724,170; raw material CSM22 of Rp. 543,696,239, BORD4 raw materials amounting to Rp. 448,740,905, SBSL raw materials amounting to Rp. 93,913,823, CPR8 raw materials amounting to Rp. 411,278,008, and BTM03 raw materials amounting to Rp. 317,308,683.
Digital Transformation of Production Study: An Efficiency Analysis of GI-PS System Implementation Using a Mixed Methods Approach in the Garment Industry Saifurohman; Lukman Hidayat; Wine Regyandhea Putri
SAINTEKS : Jurnal Sain dan Teknik Vol. 8 No. 01 (2026): Maret
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v8i01.1034

Abstract

The efficiency of data management in garment production plays a critical role in supporting timely decision-making and improving overall productivity. One of the main challenges faced by garment industries is the delay in submitting production study data caused by manual data processing systems. This study aims to analyze the effect of implementing the Globalindo Intimates Production study (GI-PS) system on the speed of production study data submission at PT Globalindo Intimates. This research employed a mixed methods approach, combining quantitative and qualitative methods. Quantitative data were collected by measuring the time required to submit production study data before and after the implementation of the GI-PS system, while qualitative data were obtained through interviews with industrial engineering staff and management. The quantitative analysis used a paired sample t-test to examine differences in data submission time. The results show a significant reduction in data submission time after the implementation of the GI-PS system, indicating that the digital-based system effectively improves efficiency and accuracy in production data management. Qualitative findings further support that the system enhances workflow, reduces administrative workload, and improves coordination among departments. Therefore, the GI-PS system can be considered an effective solution to improve production study data management in the garment industry. Practically, the implementation of digital systems such as GI-PS can serve as a solution for garment companies to accelerate the flow of production information, improve the accuracy of operational decision-making, and support increased efficiency and competitiveness in an increasingly dynamic industrial environment.
Comparative Effectiveness Of Organic Waste–Based Eco-Enzyme And Commercial Bio-Bacterial Agents In Railway Toilet Wastewater Treatment Johannes Martua Hutagalung; Karina Marwahati; Lia Muliati; Usamah Rizqi Alfian; Retno Prasongko
SAINTEKS : Jurnal Sain dan Teknik Vol. 8 No. 01 (2026): Maret
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v8i01.1035

Abstract

The growing number of railway passengers in Indonesia demands improved service quality, including the provision of environmentally friendly toilet facilities. The Railway Eco-Toilet (RET) system has adopted a waste storage mechanism to reduce direct discharge into tracks or water bodies. However, the stored wastewater still requires further treatment to meet environmental quality standards. One potential alternative is eco-enzyme, a fermentation product of household organic waste that contains enzymes, organic acids, and beneficial microorganisms capable of degrading pollutants. This study aims to analyze the performance of eco-enzyme in reducing pollutants in RET wastewater and to compare it with a commercial bio-bacteria product currently applied by PT KAI. The observed parameters include Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Dissolved Solids (TDS), and Total Suspended Solids (TSS). The experiment was conducted by directly applying eco-enzyme to RET storage tanks with incubation periods of 10, 15, and 20 days. Samples were then analyzed in an accredited laboratory using standard water quality testing methods. The results on the 20th day showed that eco-enzyme reduced pollutant levels to BOD5 of 70 mg/L, COD of 206 mg/L, TDS of 1478 mg/L, and TSS of 14 mg/L. In comparison, the commercial bio-bacteria achieved BOD5 of 63 mg/L, COD of 204 mg/L, TDS of 1129 mg/L, and TSS of 53 mg/L. The analysis indicated that eco-enzyme performed better in reducing TSS, achieving compliance with environmental standards, whereas both treatments failed to lower BOD5 and COD to the required limits. These findings highlight the potential of eco-enzyme as an alternative for treating railway toilet wastewater. Its application could strengthen RET systems and be extended to domestic wastewater management such as household septic tanks.

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