JSE Journal of Science and Engineering

The Effective Control Strategy in Gunung Lingai Village due to Extreme Flood with SWOT Approach

Santi Yatnikasari — 2020-09-07

Samarinda is the capital of the East Kalimantan, which remains troubled by flood risk. The flooding phenomenon happens not only during the rainy season. Some areas in the city of Samarinda are flooded in the rain with a period of 3 hours. This research aims to establish the causes of flooding in Gunung Lingai Village, as then flood control techniques can be implemented. Gunung Lingai Village has been chosen because it is a location with a history of extreme flooding in the town of Samarinda with an area of 432.93 Ha. There are 851 flood-affected households from 1390 households with a duration of further than 7 days. This research was carried out with the combination of qualitative and quantitative approaches. Data collection was carried out by combining literature study and secondary data with factual studies to obtain primary data and in-depth interviews with flood-affected communities (mixed method). The status of the flood variables which became the baseline was that of 9 June 2019 and that of 22 May 2020. The results showed that there were two main factors causing flooding, namely natural factors and human factors. A vulnerability of social indicator was established to describe the actual condition, which was complex interaction among drainage system and public welfare. In addition, a SWOT analysis was performed on one of the selected representatives to verify the strategies on flood control system.

Using MDA to Improve Naïve Bayes Classification for Students Performance Prediction

Rofilde (AU) Hasudungan — 2021-11-12

Adoption of information technology in education sector made data grow exponentially in this field. There are lot of data produce by education institution such as registration, teaching and learning, administration, and examination. Those data can be more useful if we can turn them into knowledge. Data mining is tools used to uncover pattern hidden in data and turn them into knowledge. Naïve bayes classifier is a classification algorithm based on naïve theorem. This algorithm has high accuracy and fast. However, Naïve bayes has no ability of select the best features since all attributes in this naïve bayes theorem consider as equal. However, it is common in the real data that there are attributes that higher dependency degree than others and many data have attributes that considered as superfluous or redundant, hence this paper proposes Maximum Dependency Attribute (MDA) to tackle that problem. MDA is feature selection technique based on rough set that is used to select the best features and Naïve bayes is used to predict student performance. Based on the experiment show that this proposed model has accuracy 79%. The result has improvement compare to Naïve bayes without MDA with accuracy 68%.

Application and Evaluation of AHP-ELECTER Performance In The Determination of The Thesis Supervisor

Hamada Zein — 2023-02-10

Thesis is part of a student's study journey. Universitas Muhammadiyah Kalimantan Timur (UMKT) has a scheme for organizing a thesis that is different from other universities. This Lecturer and Student Collaboration Scheme (KDM) has the concept that thesis work is carried out in groups under the guidance of one lecturer. The role of the supervising lecturer then becomes very important because the determination of the research theme is carried out by the lecturer and students only need to work on the sub-section of the research as their thesis. The selection of supervisors then becomes important and study programs with a very large number of students in one batch as well as study programs with very few students will be overwhelmed by this scheme. The determination of the thesis supervisor is usually done by considering certain criteria. This study uses a combination of AHP and ELECTRE to analyze how the performance of the two methods when faced with the case of determining a supervisor with a different scheme from the thesis in general.

The study programs selected as samples were taken from each faculty at UMKT, namely Informatics Study Program, Management Study Program, English Education Study Program, Public Health Study Program and International Relations Study Program. From the five study programs, the most widely used criteria were the functional position of the lecturer, quota, suitability of research with the lecturer roadmap, and student concentration. The results show that AHP-ELECTR can be used to determine supervisors with this KDM scheme with an average accuracy value of 83%. ELECTRE as an alternative removal method is able to eliminate prospective lecturers who do not meet the criteria.

Effects of Percentage Fibre with Treated and Untreated on Sound AbsorptionProperties in Rubber Wood Fibre Composite

Muhammad Hanafi Abd Rahman — 2020-09-08

Current developments on natural fibre as sound absorption purpose have attracted researcher’s attention since sound pollution has been a threat to peoples. Hence, in this study, a fibrous acoustic material, which is rubber wood fibre, was used to determine acoustical properties. To achieve higher sound absorption coefficient (SAC) especially at low frequency, pre-treatment of the fibre is needed where in this study alkaline treatment was implemented. Three different percentages of fibre, namely 20%, 25% and 30% for non-treated and treated fibre were used to study the acoustical characteristic. Impedance tube method (ITM) was used to determine SAC. From the result, it has been found that SAC for fibre treated with alkaline was better than untreated fibre at low frequency. Alkaline treatment of the rubber wood fibre reduced the fibre diameter. More tortuous path and higher airflow resistance occurred since more fibre needed to reach the volume density of the sample. This work confirms by increasing rubber wood fibre content in the sample would also increase the acoustic performance and this has been proved where 30% of fibre sample mostly demonstrated better SAC compared to other fibre content for untreated and treated fibre and can be considered as sound absorption application

The Sound Absorption Coefficient and Noise Reduction Coefficient of Rice Husk Silica

Tan Ke Wei — 2020-09-15

Efficient noise control is neccessary to be applied to reduce the sound pollution and obtain a comfortable life. Rice husk is one of the abandoned agriculture waste material that can obtained in a large quantity which have the potential in the application of sound absorber. Rice husk silica samples have been fabricated in various composition and thickness by using epoxy and methyl ethyl ketone peroxide (MEKP) as binder. Impedance tube testing and physical test are conducted to obtain the properties of rice husk silica. The result found that specimens with higher composition of rice husk silica and using MEKP as binder have the lowest density, highest porosity and give a better sound absorption coefficient. The increment of thickness can produce a greater sound absorption at lower frequency. The results also demonstrate 20mm is the best thickness for a greater noise reduction coefficient.

Crack Propagation Trajectory For Kenaf Fibre Composite Under Quasi Static Loading

Nurul Alya Zahari — 2020-09-15

The cracking of the composites are worthy the attention in order to expect in which manner of failure might occur. This matter should be not underestimated because of a safe structure may fail with even microscopic flaws. The crack propagation trajectory and effects of the hole in woven and non-woven fibre orientations for epoxy based kenaf composites under quasi static loading are investigated. The shape of the work specimens is square thin plate with thickness of 3 mm. There are two types of orientations of work specimen used which are the non-woven random and plain woven with 0° and 90° fibre orientation. These work specimens made by hand lay-up method. There are three setting conditions of the work specimen used in this research such as single edge crack, single edge crack with hole, and double edge crack with two holes. The experiments of tensile tests were carried out to determine the strength of the epoxy based kenaf composites. The specimens were subjected to a concentrated load at the upper edge and fixed at the lower edge. From the data attained, indicated that fibre orientation has a significant role in defining the ultimate tensile strength. The main objective of this research is to investigate the crack propagation trajectory for epoxy based kenaf composites under quasi static loading. It shows that from the results obtained, the crack trajectories for single edge crack is a straight line. However, the existence of the hole rearrange the stress or strain field. The crack will curved towards the hole. Meanwhile, for double edge cracks with two holes, the cracks move to the near hole. The cracks then reoriented horizontally as the cracks have reformed the stress distribution at each other’s tip. After that, the cracks then captivated again by the opposite holes and curved toward s the holes. It was found that there is no significant difference between the crack propagation for non-woven and woven fibre orientation samples.