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Tadulako Science and Technology Journal
Published by Universitas Tadulako
ISSN : 27764097     EISSN : 27764893     DOI : https://doi.org/10.22487/sciencetech
Core Subject : Economy, Science, Education, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Languange, Linguistic, Communication & Media
Tadulako Sciencetech Journal is an open-access global publication for scientific articles which is intended as a vehicle for the dissemination of new finding research results on science and technology. Manuscripts that are published in Tadulako Sciencetech Journal develop underlying science principles for innovative technologies and presents scientific advances for enabling real-world application across multiple disciplines. Papers published in Tadulako Sciencetech Journal are therefore available to a much wider readership that not only to the traditional academic sector but also to policy institutions, industry, the general public and the media. It is published two times a year, published in July, and December in electronic format with free online access. Submitted papers must be written in English for an initial review stage by editors and further review process by a minimum of two international reviewers. These topics are addressed in full-length academic articles, critical statements on current issues, developmental practice, and reviews of books based Science and Technology. The purpose of the journal is to publish original and high-quality research papers in the field of Science and Technology. The journal presents an innovative platform for researchers, students, practitioners and educators to both learn from and contribute to the field. Finally, accepted and published papers will be freely accessed in this website and the abstracting & indexing databases, such as Google Scholar, PKP Index, Dimensions, etc. The journal invites original, significant, and rigorous inquiry into all subjects within or across disciplines related to Science and Technology. It encourages debate and cross-disciplinary exchange across a broad range of approaches.
Arjuna Subject : Umum - Umum
Articles 6 Documents
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Search results for , issue "Vol. 2 No. 2 (2022): Tadulako Science and Technology Journal" : 6 Documents clear
Determination Of Liquefaction Sediment Volume In Balaroa VillageUsing The Geoelectric Resistance Type Method
Tadulako Science and Technology Journal Vol. 2 No. 2 (2022): Tadulako Science and Technology Journal
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i2.17299

Abstract

Introduction: Research has been carried out titled "Determining the Volume of Liquefaction Sediment Using the Geoelectric Resistivity Type Method in Balaroa Village". Methods: This research aims to identify subsurface lithology and determine the volume of liquefaction sediment in Balaroa Village. This research uses the resistivity method Wenner configuration. Result and Discussion: Measurements were carried out in 4 passes with the distance between electrodes on Tracks 1 - 3 being 7 m and on Track 4 a distance of 10 m. From the results of measurements and data interpretation, it was obtained that the type resistance value was 2.98 - 436.14 Ωm with lithology in the form of clay, sand, and gravel. The calculated volume of liquefaction sediment in Balaroa Village is 370,883 m³. Conclusion: Clay and sand rocks are liquefaction sediments with resistance values of less than 67.86 Ωm. Meanwhile, gravel and building debris are non-liquefaction rocks with resistance values of more than 67.86 Ωm. The calculated liquefaction sediment in Balaroa Village is around 370,883 m³. The volume of liquefaction sediment increases in thickness in the eastern part, which is caused by morphological conditions that tend to be more gentle in that part.
Comparison of Nonparametric Regression Nadara - Watson Estimator Kernel Function And Local Polynomial Regression In Predicting USD Against IDR
Tadulako Science and Technology Journal Vol. 2 No. 2 (2022): Tadulako Science and Technology Journal
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i2.17300

Abstract

Introduction: Macroeconomic problems such as inflation and exchange rates are often highlighted as benchmarks for achieving economic progress. The stability of both must be monitored by the government in order to control the inflation rate and exchange rate. This instability is a phenomenon of fluctuation, namely the phenomenon of the rise and fall of the exchange rate of a currency based on demand and supply. Given the large impact of exchange rate fluctuations on the economy, the prediction of the wage exchange rate against the US dollar is considered necessary because it is useful to anticipate and minimize bad possibilities that arise. Method: Methods that can be used to analyze fluctuating currency exchange rate data are nonparametric regression, Nadaraya-Watson estimator, Gaussian kernel function, and Local Polynomial Regression. Results and Discussion: The results of a nonparametric regression comparison between the Nadaraya-Watson estimator, Gaussian kernel function, and local polynomial regression were obtained by MAPE of 2.508% and 0.179%, respectively. This shows that the best model uses the local polynomial regression method and predicted USD exchange rate data against IDR using the best model, namely Local polynomial Regression where the MAPE value is less than 10%, which means the prediction rate is very good. Conclusion: The nonparametric regression method of the Nadaraya-Watrson estimator, Gaussian kernel function, and local polynomial regression shows that the best model uses the local polynomial regression method.
Grouping Districts / Cities in Central Sulawesi Province Based on Poverty Indicators Using the Fuzzy Geographically Weighted Clustering -Artificial Bee Colony Method
Tadulako Science and Technology Journal Vol. 2 No. 2 (2022): Tadulako Science and Technology Journal
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i2.17301

Abstract

Introduction: Poverty is the main problem that is the focus of attention of the government in Indonesia. In general, poverty is a person's inability to meet basic basic needs in every aspect of life. Cluster analysis is a solution to map this problem. Method: Fuzzy Geographically Weighted Clustering-Artificial Bee Colony (FGWC-ABC) is one clustering method that is an integration of classical fuzzy clustering methods and geodemographic elements. Artificial Bee Colony is a metaheuristic algorithm that is used as a global optimization to increase cluster accuracy. Artificial Bee Colony can efficiently and effectively solve various function optimization problems in various cases. Result and Discussion: The research results obtained 3 optimum clusters with each cluster characteristic relatively different based on poverty indicators. Cluster 1 with low poverty, cluster 2 with high poverty, and cluster 3 with moderate poverty. Conclusion: By using the IFV validity index, 3 optimum clusters were obtained with different characteristics of each cluster based on its indicators. Cluster 1 consists of three regencies/cities with low poverty status, cluster 2 consists of seven regencies/cities with high poverty status, and cluster 3 consists of six regencies/cities with moderate poverty status.
Assessment of Regional Development Using the Unit Genetic Area (GSW) Method in the Mining Environment Area of Palu City, Central Sulawesi Province
Tadulako Science and Technology Journal Vol. 2 No. 2 (2022): Tadulako Science and Technology Journal
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i2.17302

Abstract

Introduction: The growth of the mining industry in Central Sulawesi is currently growing rapidly, starting from excavations A, and B to C. The Buluri area currently has many active C excavation mines, but does the area have the potential for mining area development? This research was conducted with the aim of knowing the level of potential or constraints on the development of mining areas. Method: The location of this research is located in Buluri Village, Ulujadi District, Palu City, Central Sulawesi. The method used in this research is direct mapping in the field to determine the genetic unit of the region and scoring on each subfactor of the genetic unit of the region to determine the development of mining areas. Results and Discussion: The results showed that in the Buluri area, there are two regional genetic units, namely the genetic unit of the moderately deformed porphyry andesite plain area (1221) and the genetic unit of the moderately deformed porphyry andesite hills area (1222). Conclusion: Based on the results of subfactor calculations in each regional genetic unit, it is found that the genetic unit of the moderately deformed porphyry andesite plain area (1221) is included in the low-level mining area development category, and the genetic unit of the moderately deformed porphyry andesite hills area (1222) is included in the medium- level mining area development category.
Identification Of Liquefaction Slide Planes Using The Geoelectric Resistance Type Method In Balaroa Village
Tadulako Science and Technology Journal Vol. 2 No. 2 (2022): Tadulako Science and Technology Journal
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i2.17303

Abstract

Introduction: Research has been conducted with the title "Identification of Liquefaction Sliding Fields Using the Type Resistance Geoelectric Method in Balaroa Village". This study aims to determine the subsurface constituent rock layers and the position of the sliding plane based on the type resistance data. Method: This study consists of 6 measurement tracks with a track length of 150 meters using the Vertical Electrical Sounding (VES) method with the Schlumberger configuration. Data processing uses the software program Progress version 3.0 and ipi2win. Results and Discussion: The results obtained indicate the presence of subsurface constituent layers, namely: Passive clay, clay sand, and gravel, and the presence of an inclined plane of 25° to 55.5% with a steep slope. Conclusion: Based on data analysis and interpretation, it can be concluded that the rock lithology at the study site consists of passive clay, clay sand, and gravel, based on the value of specific resistance. The slope of the sliding plane layers that have the potential to trigger landslides and liquefaction at the site tends to be west-east with a slope angle of 25°, or 55.6%, which is included in the steep slope category
Identification of Aquifer Layer Using Geoelectric Method in Oil Palm Plantation Area of PT Unggul Widya Teknologi Lestari Pasangkayu Regency
Tadulako Science and Technology Journal Vol. 2 No. 2 (2022): Tadulako Science and Technology Journal
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v2i2.17304

Abstract

Introduction: Aquifer layers have been identified in the oil palm plantation area of PT Unggul Widya Teknologi Lestari Pasangkayu Regency. This study aims to determine the lithology of subsurface rocks and the depth of the aquifer layer as a source of clean water in the study area. Method: This study uses the geoelectric method of type resistance with Wenner configuration, with the number of electrodes 24 rods and a spacing of 10 meters. 2D cross-sectional model using Res2Dinv software program. Results and Discussion: Based on the value of the type resistance of the subsurface constituent rock lithology at the research site is interpreted to consist of three layers, namely clay with a specific resistance value < 29.15 Ωm, sand and sandy clay with a specific resistance value of 29.15 Ωm to 72.89 Ωm, and conglomerate with a specific resistance value > 72.89 Ωm. The aquifer layer is interpreted with a specific resistance value of 29.15 Ωm to 72.89 Ωm. The aquifer layer is detected to spread from the northeast to the southwest of the research site with a depth of ±25-39 m. Conclusion: In the oil palm plantation of PT Unggul Widya Teknologi Lestari, the subsurface layer consists of clay (1.98 Ωm - 29.15 Ωm), sand and passive clay (29.15 Ωm - 72.89 Ωm), and conglomerate (72.89 Ωm - 1120.5 Ωm). Thin aquifers, with a thickness of 5-10 m and depth of 25-39 m, are detected in the sand and sandy clay layers.

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