JSE Journal of Science and Engineering

Review of the implementation of road preservation and road shoulder widening on SP. Lempake - SP3. Sambera - Santan Project

2023-09-27T07:22:47+00:00

The main road is a crucial transportation facility that plays a significant role in various community activities in a region, both in urban and rural areas. The total length of this road improvement project is 52.71 km. The enhancement of the SP.Lempake-SP3.Sambera-Santan Road is expected to help improve services and facilitate upgrading road facilities for transportation purposes, benefiting the local community and existing industries. This study utilizes the participatory observation method. Participatory observation is a data collection method that directly involves a researcher in the research location, allowing them to participate in observational activities. The purpose of observation here is for the researcher to be directly engaged in supervising the road preservation and widening project of the SP. Lempake-SP3.Sambera-Santan road. Data collection involves primary data, including on-site observation methods, interviews, documentation, and secondary data used in this report, such as plan drawings, time schedules, and organizational structure. The widening of the SP.Lempake - SP3. Sambera-Santan road consists of several tasks, including preparatory work, excavation, spreading and compacting of Class A aggregates, structural work, and the final finishing work. Challenges faced during the project include weather conditions (rain) and material depletion.

Assessing the Impact of PVC Pipe Diameter on Compressive Strength and Cracking in Hollow Prism Concrete

2023-09-27T07:23:10+00:00

In order to enhance the utilization of concrete, it is necessary to explore the impact of PVC pipes incorporated into hollow prism concrete, focusing on their effects on compressive strength and cracking. PVC pipes are commonly employed as reinforcements within concrete structures to bolster their stability. This research delves into the consequences of varying pipe diameters and PVC pipes within hollow prism concrete. The experimental process entails utilizing concrete prisms with 100 x 100 x 300 mm³ dimensions, possessing a compressive strength of 25 MPa. Research outcomes reveal that pipe diameter directly influences compressive strength, where larger diameters are associated with reduced compressive strength. Including pipes in the concrete does not yield a substantial discrepancy in compressive strength. Concrete prisms with incorporated pipes exhibit a Columnar-type collapse, indicative of dominant compressive stress, whereas prisms without pipes undergo a Shear-type collapse, signifying a shift in stress distribution. It emphasizes the pivotal role of reinforcements like PVC pipes in upholding the structural integrity of concrete, thereby mitigating potential damage.In order to enhance the utilization of concrete, it is necessary to explore the impact of PVC pipes incorporated into hollow prism concrete, focusing on their effects on compressive strength and cracking. PVC pipes are commonly employed as reinforcements within concrete structures to bolster their stability. This research delves into the consequences of varying pipe diameters and PVC pipes within hollow prism concrete. The experimental process entails utilizing concrete prisms with 100 x 100 x 300 mm³ dimensions, possessing a compressive strength of 25 MPa. Research outcomes reveal that pipe diameter directly influences compressive strength, where larger diameters are associated with reduced compressive strength. Including pipes in the concrete does not yield a substantial discrepancy in compressive strength. Concrete prisms with incorporated pipes exhibit a Columnar-type collapse, indicative of dominant compressive stress, whereas prisms without pipes undergo a Shear-type collapse, signifying a shift in stress distribution. It emphasizes the pivotal role of reinforcements like PVC pipes in upholding the structural integrity of concrete, thereby mitigating potential damage.

Multilayer Perceptron and TF-IDF in the Classification of Hate Speech on Twitter in Indonesian

2023-09-27T07:22:40+00:00

Twitter nowadays is one of the popular social media which currently has over 300millions accounts, twitter is the rich source to learn about people’s opion and sentimental analysis. However, this also brings new problems where the practice of hate speech. This research classifies of hate speech on social media. Evaluation using dataset from previous research Ibrohim&Budi (2019), then using classification method Multilayer Perceptron which combined with feature extraction to be able to detect negations and weighting uses Term Frequency – Inverse Document Frequency (TF-IDF). Results show that the F1 score gives an accuracy rate of up to 74.51%. This research has a reasonably good effectiveness from combining the TF-IDF and Multilayer Perceptron methods, considering the results obtained from the F1 Score evaluation value.

Latent Dirichlet Allocation Utilization as a Text Mining Method to Elaborate Learning Effectiveness

2023-09-27T08:57:31+00:00

Learning method is a way to explain the lesson materials to students so that the learning process can occur in students as an effort to achieve the goals. Learning methods can be said to be a success if students are active, both physically, mentally, and socially in the learning process, in addition to showing high enthusiasm for learning and having self-confidence. The purpose of this study is to classify the opinions of Indonesian students regarding the existing learning methods and what learning methods they expected. In order to evaluate existing learning methods using the latent dirichlet allocation method. The data used comes from tweets of Twitter users within the range of January to March 2022. The data is taken using the scrapping method through the help of the python twisel library and totaled to 3778 data, then preprocessed through the nltk and Sastrawi libraries. The results of this analysis stated that student opinions can be classified into 3 major topics which state students' opinions regarding effective learning methods, student difficulties in applicable learning methods, and high cross-departmental interest.

The Prediction of Late Tuition Fees at Muhammadiyah University of East Kalimantan Using the Logistic Regression Method

2023-09-27T07:23:26+00:00

Muhammadiyah University of East Kalimantan in carrying out its operational activities relies on funds from students, one of which is tuition fees (SPP). This creates problems if students are late in making tuition payments, because tuition payments can improve the quality of education and facilitie. Therefore, the purpose of this study is to determine indicators, then implement the logistic regression algorithm by dividing the data into 70:30 and evaluating the performance results of the algorithm using the confusion matrix. The data obtained are sourced from the Academic Administration Section and the Financial Administration Section as many as 12,408 data with several attributes such as the faculty, study program, class, gender, father's income, mother's income, father's education, mother's education and label (late or not late). From the results of the data test that has been carried out, it gets the results of an accuracy of 55.89%.