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INDONESIA
Journal of Science and Applicative Technology
Published by Institut Teknologi Sumatera
ISSN : 25810545     EISSN : 25810545     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Materials Science & Nanotechnology Mechanical Engineering
Journal of Science and Applicative Technology is soon indexed by google scholar, SINTA (Science and Technology Index), portal garuda, DOAJ (Directory of Open Access Journals). This journal has been registered at PDII LIPI (ISSN: 2581-0545). This journal is semiannual journal. It will be published in June and December. The objective of the journal is to provide a room for students, researchers, lecturers, pratictioners and communities to present their ideas regarding several topics covered in this journal. Journal of Science and Applicative Technology covers wide area of research. We welcome full research articles in the following area, including but not limited to : 1. Renewable Energy 2. Green Infrastructure 3. Community Development 4. Computer Science 5. Civil and Environmental Engineering 6. Electrical Engineering 7. Mechanical Engineering 8. Telecommunication 9. Earth and Planetary Sciences (Geography, Geodesy, Geology, Geophysics, Oceanography, Astronomy, Atmospheric) 10. Natural Sciences (Mathematics, Chemistry, Physics, Statistics) 11. Life Sciences (Biochemistry, Biology, Pharmacy) 12. Regional and City Planning
Arjuna Subject : -
Articles 223 Documents
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TOWARDS GREEN SMART CITY THROUGH PROVIDING OPEN SPACE FOR CITIES IN INDONESIA: SYSTEMATIC AND BIBLIOMETRIC LITERATURE REVIEW Valendya Rilansari; Chania Rahmah; Wiedad Diyaulhaq
Journal of Science and Applicative Technology Vol 8 No 1 (2024): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i1.1802

Abstract

Smart cities become benchmarks in development cities around the world since the 1990s. In the urban planning context, there are concerns regarding the application of the smart city concept which is considered to only prioritize the progress of cities by technology however no notice to the ecological side of the city. This research discusses the development and arrangement of cities through planning that ensures ecosystem balance, one of which is through open space, which in this case is widely discussed that is green open space. The usual problem that occurs during the development of green open space is not enough land area for available allocation causing an imbalance ecosystem as well as against the sustainability concept. This research method studies literature systematic and bibliometric using Microsoft Excel and VOSviewer from discussion theory and policy about green open space that has been planned in various countries for can applied to cities in Indonesia. The analysis explains the discussion regarding green open space in connection to moving towards a green smart application to cities in Indonesia. Eventually, the findings from this research are discussed related to implementation in the cities in Indonesia which are divided into five aspects, namely political land development, community perception, infrastructure, landscape design, and socio-economic psychology. The final recommendation is that this aspect can be studied further to be applied to cities in Indonesia to realize city smart green future.
PENGEMBANGAN SISTEM TERINTEGRASI BERBASIS IOT (INTERNET OF THINGS) UNTUK MONITORING DAN KONTROL KUALITAS AIR PADA BUDIDAYA TAMBAK UDANG DARATAN Titin Ervina Sari; Eko Satria; Abdul Rajak
Journal of Science and Applicative Technology Vol 8 No 1 (2024): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i1.1698

Abstract

Water quality is very important for the sustainability of a shrimp farm, starting from the quantity and quality of shrimp harvested is very influential on the good quality of the pond water. The water quality in question is parameters such as water turbidity, a lot or clean of dirt in the pool, a pH value that suits your needs and ammonia content in the pond which is usually produced from shrimp manure. This research designed a water quality monitoring and control tool in shrimp ponds that is integrated automatically through an IoT-based system (Internet of Things) using the thingspeak application as a server and telegram bots as controls. Based on the results of tests that have been carried out, the tool has been able to determine the quality of water correctly. The error percentage was 0.01% for turbidity sensors, 0.05% for TDS sensors, 0.01% for pH sensors and 0.12% for ammonia gas sensors. Based on the results of direct data collection on shrimp ponds for 6 hours, the average value of water turbidity was 3.06 NTU, the lowest was 1.07 NTU and the highest was 5.99 NTU, for the average value of TDS content was 170.98 ppm, 150.00 ppm was the lowest and 204.12 ppm was the highest, for the average pH content was 7.80, the lowest was 7.50 and the highest was 8.74, and the average value of ammonia content was 0.004 ppm, 0.0007 ppm is the lowest and 0.0113 is the highest.
Regional Validation Coastal Sea Level Anomaly Estimation from Altimetry Satellite and Tide Gauges Data using Fuzzy Inference System: A Case Study Around Natuna Seas Permana, Rizki Dimas; Gaol, Jonson Lumban; Irawati, Febri Dwi; Rohman, Tefur Nur; Badri, Rizty Maulida
Journal of Science and Applicative Technology Vol. 8 No. 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.1851

Abstract

The validation of waveform retracking analyses with Fuzzy Inferences system, which was previously developed to optimize the estimation of sea surface height (SSHs), particularly in coastal locations, is presented in this study. The fuzzy inference system has been tested and validated in the Natuna Sea, Indonesia, where altimetry waveforms varied based on water conditions. Validation was performed by comparing the waveform retracking result of Jason-3 data with in-situ tide gauge data and geoid. The validation of waveform retracking data for sea level anomaly (SLA) estimate against tidal data demonstrates that the waveform retracking with a fuzzy inference system is more accurate than previous approaches. Waveform retracking with fuzzy inference system is able to produce an average temporal correlation of 0.75-0.89 and RMSE between 0.15-0.17 m. The waveform retracking combined with a fuzzy inference system can improve SLA estimation accuracy in nearshore up to 4 km from the coastline. The results indicate that retracking with fuzzy inference system has the potential to be used in other complicated oceans.
The Development of a Procedure Model for Improving Land Data Quality (Case Study at the Land Office of Tulang Bawang Regency) Gusmartin, Popie Hagy; Abdulharis, Rizqi; Hernandi, Andri
Journal of Science and Applicative Technology Vol 8 No 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.1948

Abstract

Accurate and up-to-date land data is essential for effective planning, development, and decision/policy making by the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency. However, land data does not yet have full data accuracy and reliability, thus weakening the usefulness of the land data itself. This study aims to develop a procedural model to improve the quality of land data. This study began by conducting a data classification method, namely conducting a comprehensive inventory of data in the database and archives of land book documents along with measurement letters. Based on the inventory results, a data adjustment method was then done by aligning data between the database and the archives of land book documents and measurement letters. Finally, a method of improving the quality of land data (data quality improvement) was carried out by improving land data to be better. As a form of supervisory control/monitoring, data verification was carried out on data that had been improved using purposive sampling. The results of this study indicate that the systematic application of this method can produce land data with good data accuracy and reliability. Improving the quality of land data results in complete and accurate mapping, and higher data accuracy, although in one village statistically it has not shown positive data, but with the improvement in the quality of land data, it has increased the accuracy of high and detailed data, as well as increased transparency and accountability to the community.
Identifikasi Perambatan Gelombang Kelvin pada Fluktuasi Parameter Atmosfer di Wilayah Padang, Jakarta dan Pontianak Menggunakan Data Radiosonde dan GNSS-RO Haryandi, Reza Afrilia Putri; Noersomadi, Noersomadi; Aminuddin, Jamrud; Paratessa, Alyah; Almasah, Disty Nada; Palutfi, Wardani Retno
Journal of Science and Applicative Technology Vol 8 No 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.1529

Abstract

Analisis pergerakan gelombang Kelvin pada fluktuasi parameter atmosfer dilakukan dengan memanfaatkan data pengamatan vertikal atmosfer dari radiosonde dan GNSS-RO. Metode filtering dengan penerapan Fast Fourier Transform (FFT) digunakan untuk mengidentifikasi arah dan fluktuasi perambatan gelombang temperatur di lapisan troposfer atas hingga stratosfer bawah. Hasil plot deret waktu parameter atmosfer menunjukkan bahwa fluktuasi temperatur dan komponen angin zonal memiliki perambatan yang identik dengan gelombang Kelvin. Perambatan temperatur dan angin zonal berpropagasi ke arah timur dengan skala waktu 7-10 harian serta 10-20 harian. Temperatur berfluktuasi dengan interval nilai –4 sampai 4 K untuk data radiosonde dan –3 hingga 3 K untuk data GNSS-RO. Fluktuasi komponen angin zonal berkisar pada rentang –30 hingga 10 m.s-1.
Correlation Analysis of Landslide Disaster with Land Tenure (Case Study: Wonosobo Regency) Luthfina, Muhammad Annis Wichi; Hernandi, Andri
Journal of Science and Applicative Technology Vol 8 No 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.1751

Abstract

Indonesia is a country that often experiences various kinds of natural disasters, one of which is landslides. Wonosobo Regency is a district that is prone to landslides considering its geographical conditions with steep slopes and high rainfall. Landslides are disasters that are directly related to changes in soil and soil conditions. This is unconsciously related to land rights, one of which is land tenure. In this research, a correlation study was conducted to determine the relationship between the level of knowledge about landslides and the level of knowledge about land tenure. The test uses the Spearman rank test. The result of this research is that there is a relationship between the level of knowledge about landslides and the level of knowledge about land tenure.
Western Lampung Offshore Wind and Wave Data Correlation Analysis Hermanto, Mochammad Fathurridho; Nandalianadhira, Nafisa; Puspita, Eka Suci; Hutajulu, Iin Debora
Journal of Science and Applicative Technology Vol 8 No 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.2012

Abstract

Wind and waves are the two most dominant environmental parameters in the sea. The availability of these two data is crucial in the design process of offshore and onshore buildings and the development of renewable energy from wind or wave. Numerous analyses have been done on each parameter, but none have tested their correlation specifically in the waters of the western Lampung. This study aims to find a correlation between these two parameters. The study used 20 years of wind and wave data from BMKG. The average wind speed data obtained was about 4,17 - 5,13 m/s. The mean significant wave height obtained was about 1,89 - 2,09 m. BMKG gives more direction with a huge wind-blowing duration (more than 500 hours), wind-blowing direction data are dominantly from SSE, WNW, and WSW. However, wave direction data is going to N and NE. This study found no correlation between wind and wave direction on the Western Lampung Offshore. Based on data from the time series of wind and wave that have been analyzed, continuously higher wind speeds result in higher wave heights.
Establishment and Affirmation of Village Boundaries in Rancabali District, Bandung Regency Based on Ministerial Regulation No. 45 of 2016 with the Principle of Contradictoire Delimitatie Sitorus, Hanny Wahyuningtiyas; Rohman, Arif; Yudanegara, Rizky Ahmad; Ramos, Ferdian
Journal of Science and Applicative Technology Vol 8 No 2 (2024): Journal of Science and Applicative Technology December Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v8i2.2014

Abstract

The boundary village is a parapet government administration of the region inter-villages which is a series of coordinates to which points are on the surface of the earth. This study examines the application of the Minister of Home Affairs Regulation Number 45 of 2016 concerning the determination and affirmation of village boundaries in Rancabali Sub-district, Bandung District, West Java Province, Indonesia. The Rancabali sub-district consists of five villages whose boundaries must be affirmed and defined. According to the Minister of Home Affairs Regulation Number 45 of 2016 in the determination and affirmation of village boundaries, it is defined as administrative boundaries inter-villages that are juridical. This study aims to determine and confirm village boundaries based on the methodology contained in Minister of Home Affairs Regulations number 45 of 2016 by producing the village's administrative boundaries from the results of cartometric technical agreements. The data of this study were sourced from village boundary data in a participatory manner by villages in Rancabali Sub District using cartometrics. Because the Minister of Home Affairs Regulation Number 45 of 2016 stipulates that the determination and affirmation of regional boundaries are carried out cartometrically so that the application of this method needs to be carried out on the determination of village boundaries. The results of this research resulted in technical agreements and maps of village/kelurahan administrative boundaries in Rancabali District. In the technical agreement activities carried out, it was possible to identify the boundaries between villages/kelurahan in Sukaresmi Village, the maps of Indragiri Village and Cipelah Village resulted in an agreement. Patengan Village and Alamenda Village still have areas where they disagree.
Effect of Azimuthal Variability in Estimation of HVSR Parameters and Ground Shear Strain at Kota Baru, South Lampung, Indonesia Ipmawan, Vico Luthfi; Prastowo, Rizqi; Iqbal, Mochamad; Permanasari, Ikah Ning Prasetiowati; Herman, Sofiana
Journal of Science and Applicative Technology Vol. 9 No. 1 (2025): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v9i1.2107

Abstract

Kota Baru, a potential capital of Lampung Province in South Lampung, Indonesia, faces significant earthquake risks due to the Great Sumatran Fault and the Sumatra Megathrust. Geologically, the area is part of the Plio-Pleistocene Lampung Formation, predominantly composed of rhyolite-dacite tuff and volcanoclastic tuff, which can amplify seismic shaking. This study investigates azimuthal variations in the Horizontal-to-Vertical Spectral Ratio (HVSR) across 15 locations in Kota Baru to identify their underlying causes. The results show notable changes in peak amplitude (Ao) and dominant frequency (fo) across different azimuths, with Mean Absolute Deviations (MAD) ranging from 0.96 to 5.71 for Ao and from 0.00 to 1.57 for fo. Maximum HVSR values were predominantly observed at azimuths below 30° across most regions. These variations are likely related to differences in soft layer thickness and/or the presence of a suspected fault near the study area, both of which could influence seismic wave propagation. A model of an 8.9-magnitude megathrust earthquake revealed no significant differences in Ground Shear Strain values, with results remaining within the same Modified Mercalli Intensity (MMI) scale. Therefore, despite azimuthal variability, the assumption of isotropic ambient noise in Kota Baru remains valid.
Statistical Pattern Recognition of Lithosphere Anomalous Activity Along the Indonesian Ring of Fire S, Mika Alvionita; Satria, Ardika; Muliawati, Triyana; Lestari, Fuji; Harbowo, Danni Gathot
Journal of Science and Applicative Technology Vol. 9 No. 1 (2025): Journal of Science and Applicative Technology June Chapter
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/jsat.v9i1.1850

Abstract

The introduction of statistical pattern recognition becomes highly important for assessing disaster threats such as earthquakes. This approach is significantly more comprehensive and suitable for long-term event forecasting. Therefore, in the future, efforts can be promptly made to reduce the risk of disasters resulting from anomalies in lithospheric activity, especially frequent earthquakes in the Sumatra Island region, Indonesia. Statistical pattern analysis of lithospheric activity anomalies can be categorized through classification. Earthquake classification is performed based on magnitude scale and mathematical calculations of earthquake parameter unit conversion. The classification method employed in this research includes machine learning methods like k-nearest neighbor and support vector machine. The evaluation metrics used for machine learning models are model accuracy and confusion matrix tables.

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