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Specta Journal of Technology
Published by Institut Teknologi Kalimantan
ISSN : 25492713     EISSN : 26229099     DOI : https://doi.org/10.0610/specta.v2i3
Core Subject : Science, Social, Engineering,
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Environmental Science
SPECTA journal is published by Lembaga Penelitian dan Pengabdian kepada Masyarakat, Institut Teknologi Kalimantan, Balikpapann Indonesia. SPECTA is an open-access peer reviewed journal that mediates the dissemination of academicians, researchers, and practitioners in the field of Physics, Mathematics, Mechanical Engineering, Electrical Engineering, Chemical Engineering, Materials and Metallurgy, Civil Engineering, Industrial Engineering, Naval Engineering, Urban Planning, Informatics, Information System, Environmental Engineering, and Ocean Engineering. SPECTA accepts submission from all over the world, especially from Indonesia.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 10 Documents
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Search results for , issue "Vol. 9 No. 2 (2025): Specta Journal of Technology" : 10 Documents clear
The Analisis Hubungan antara Dimensi Big Five Personality dengan Riwayat Kecelakaan Truk antar Provinsi Anggraini, Novita Lizza; Malik, Anis Rohmana; Anwar, Putri Gesan Prabawa; Fadana, Irfan Andri; Jingga, Dinar Padang Mutiara; Ramadhani, Tyas Ayu
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v9i2.1216

Abstract

Based on data from the National Transportation Safety Committee, traffic accidents involving trucks in East Kalimantan resulted in four fatalities, one serious injury, and 29 minor injuries. This study aims to determine the relationship between working hours, rest periods, and personality dimensions through the Big Five Personality theory with the accident history of inter-provincial truck drivers. The study uses an analytical design with a cross-sectional approach. The research subjects are truck drivers selected using purposive sampling techniques, with a sample size of 30 for the Big Five Personality measurements and 15 truck units for vibration measurements. This is a quantitative study. The results show that there is no significant relationship between respondent characteristics, such as age, education, work duration, and length of service, and the history of work accidents. Vibration measurements indicate that 12 out of 15 truck units operated by drivers have vibration levels above the threshold limit value (TLV), which is 0.8660 during an 8-hour exposure period.
Menyelaraskan Aspirasi Pembeli Rumah Pertama Kali Kelas Menengah dengan Persepsi Pemangku Kepentingan Studi Komprehensif di Balikpapan Utara Maryo Inri Pratama; Hosana, Rut Nauli; Satyaninggrat, Luh Made Wisnu; Pratomo, Rahmat Aris
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v9i2.1219

Abstract

North Balikpapan District faces significant challenges in housing planning due to population growth and the announcement of the new capital city (IKN) development in East Kalimantan. Achieving optimal housing provision requires synchronization between community preferences and stakeholder perceptions. This study aims to identify the priority gaps between both parties in housing selection. The Analytical Hierarchy Process (AHP) method was used to analyze community preferences, and interviews were conducted with four key stakeholders: the government, subsidized housing developers, commercial housing developers, and the housing developer association. Secondary data were sourced from a previous study that involved a community questionnaire. The results reveal significant differences in priorities: the community prioritizes availability of facilities and infrastructure, accessibility, and environmental comfort, while stakeholders emphasize financing and house design and quality. These misalignments may affect community satisfaction regarding their living environment and access to public facilities. The implications of this study highlight the importance of policy synchronization between the government and developers to bridge this gap, ensuring more inclusive and sustainable housing development in line with the evolving needs of the community. The model derived from this study can be applied to regions experiencing rapid growth, where the majority of the population is of productive age and falls into the middle-income category, to better meet the needs of the growing population.
State Of Charge Estimation on Lithium ION Batteries Using Quantum Neural Network Situmorang, Raftonado; Dewanto, Muhammad Ridho; Hasanah, Barokatun; Deliasgarin, Kholiq; Oktafian, Bagus Gilang
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v9i2.1305

Abstract

Battery applications can be found in electric vehicles, renewable energy power plants and various other portable devices. In this final project research, the author uses the Quantum Neural Network (QNN) method to estimate the State of Charge (SoC) on a lithium-ion battery designed using PYTHON. This research includes the design of a prototype SoC estimation system on lithium-ion batteries using the QNN method, real-time SoC data collection, and comparison of SoC estimation performance using QNN with real-time data. The results of real-time testing of lithium-ion batteries using ACS712 voltage and current sensors for five cycles show the following voltage results: first cycle 10.70 V to 12.68 V, second cycle 10.56 V to 12.66 V, third cycle 10.60 V to 12.69 V, fourth cycle 10.60 V to 12.00 V, and the fifth cycle 10.41 V to 12.07 V. Meanwhile, the current sensor results for five cycles showed a range of 0.1 A to 0.5 A. Each test result per cycle showed a higher increase, although there were small fluctuations, and the overall trend line showed the consistency of the voltage sensor's performance without significant degradation during repeated tests, indicating good stability of the voltage sensor. Then, methods with qubit rotation, linear entanglement, and Neural Network were tested. SoC prediction results using QNN with qubit rotation showed MAPE and RMSE values of 0.14 and 61%, respectively. Furthermore, testing the SoC prediction results on QNN with linear entanglement shows MAPE and RMSE values of 0.08 and 29%, respectively. While the SoC prediction results.
EVOLUTION OF RESEARCH AND COMMUNITY SERVICE INFORMATION SYSTEM (SIMPAS LPPM) INSTITUT TEKNOLOGI KALIMANTANKALIMANTAN INSTITUTE OF TECHNOLOGY Azhar, Nur Fajri; Nugroho , Bowo; Alfani Putera, M. Ihsan; Kairupan, Muhammad Nasa'i; Ramadhana, Rizky Irswanda
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v9i2.1309

Abstract

The Research and Community Service Information System (SIMPAS) at the Institute for Research and Community Service (LPPM) of the Kalimantan Institute of Technology (ITK) has evolved since it was introduced in 2018 to improve efficiency and transparency in managing research and community service activities. This research focuses on the development of SIMPAS through technical updates and the addition of features to meet increasingly complex user needs. This evolution includes updating the system environment using the latest version of Laravel, database refactoring to simplify data processing, and adding features such as account registration using Google email and more flexible user role management. This research uses the Scrum methodology in system development, which allows for continuous improvement and focuses on collaboration between teams. The results of this research are expected to optimize the main business functions of LPPM ITK in the process of submitting proposals, selection, to reporting research and community service results, which in turn supports the achievement of the Tri Dharma of Higher Education and regional development. This research also discusses the integration of the system with other related platforms, as well as the potential use of modern technology to support operational security and efficiency.
Model Regresi Linier Sederhana untuk Timbulan Sampah pada 14 Kecamatan di Kabupaten Rembang misbakhul, muhammad; Yusianto, Rindra
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Waste has become a complex and global issue, faced by countries around the world, including Indonesia, regardless of their developmental status. The increasing population in Rembang Regency each year results in a rise in waste production. Since the increase in waste volume is not proportional to consumption, it is necessary to categorize and predict the amount of waste generated across 14 sub-districts. The simple linear regression method has shown good predictive capabilities.The objective of this research is to study the concepts, analyze waste management, develop linear regression models, and evaluate waste generation results. Evaluation results for estimation indicate that the first rank is in Rembang Sub-district with a waste generation amount of 68,398 tons and an increase of 1,063 tons over five years. The second rank is in Sedan Sub-district with a waste generation amount of 43,690 tons and an increase of 877 tons over five years. The third rank is in Kragan Sub-district with a waste generation amount of 49,744 tons and an increase of 805 tons over five years.Based on predictions for the population and waste generation from 2024 to 2028, considering the factors of waste generation and the main factor of increased waste. In this case, the average population increase will be used to estimate the population over the next five years, leading to predictions for population and waste generation from 2024 to 2028. The top three sub-districts with the highest increases in waste are Rembang Sub-district, Sedan Sub-district, and Kragan Sub-district. Therefore, several recommendations can be provided to address the waste generation issues in Rembang Regency.
Antioxidant Activity Test Of Red Spinach Leaf (Amaranthus Tricolor L.) Extract And Fraction With Methode (2,2-Diphenyl-1 Picrylhydrazyl) Noviyanti; Asterina, Yolanda; Khairunnisa, Anita
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v9i2.8481340

Abstract

Abstract Red spinach (Amaranthus tricolor L.) is a leafy vegetable known for its high antioxidant potential due to its bioactive compounds. This study aimed to evaluate the antioxidant activity of extracts and fractions of red spinach leaves using the DPPH (2,2-diphenyl-1-picrylhydrazyl) method. Extraction was conducted through cold maceration with ethanol 96%, followed by fractionation using solvents of varying polarity: n-hexane, ethyl acetate, and water. Phytochemical screening revealed the presence of alkaloids, flavonoids, quinones, saponins, steroids, and tannins, which contribute to the plant's antioxidant properties. The antioxidant activity of the ethanol extract and fractions was assessed based on their IC50 values. The ethanol extract demonstrated moderate antioxidant activity with an IC50 of 122.09 µg/mL, while the n-hexane and water fractions showed similar moderate activity with IC50 values of 117.33 µg/mL and 124.36 µg/mL, respectively. The ethyl acetate fraction exhibited strong antioxidant activity with an IC50 value of 64.77 µg/mL, attributed to the presence of semi-polar compounds such as flavonols. The results confirmed the significant free radical scavenging potential of red spinach, particularly in its ethyl acetate fraction. This study highlights the potential of red spinach leaves as a natural source of antioxidants with applications in the pharmaceutical, health, and food industries. Keywords: Red spinach, Amaranthus tricolor L., DPPH, antioxidant activity, IC50.
Analisis Komparatif Model Deret Waktu Univariat dalam Memperkirakan Harga Beras Premium di Kalimantan Timur Tudaan, Magh Heryan; Siringo Ringo, Aris Pransicco
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v9i2.8481346

Abstract

This study aims to forecast the price of premium rice in East Kalimantan for the period 2018 to 2024 using a univariate time series approach. The main issue addressed is the fluctuation in rice prices, which can affect household economic stability and regional food security. In this context, the accuracy of rice price predictions is crucial to support decision-making by stakeholders in the agricultural and trade sectors. Three forecasting methods analyzed in this study include Autoregressive Integrated Moving Average (ARIMA), Double Exponential Smoothing (DES), and Trend Projection (TP). The performance of these methods was evaluated using the Mean Absolute Percentage Error (MAPE) as a measure of accuracy. The results show that the DES method provides the highest accuracy, with a MAPE value of 5.59%, compared to 7.85% for ARIMA and 16.87% for TP. The best ARIMA model obtained was ARIMA (2,1,0), but it was still less precise than DES. These findings also reveal a tendency for premium rice prices to increase over the study period, influenced by external factors such as changes in economic conditions and supply chain disruptions. Therefore, DES is identified as the most reliable method for short-term price trend forecasting. This result contributes significantly to strategic planning in facing volatile market conditions and supports efforts to stabilize rice prices as part of regional food security initiatives.
Deteksi Kepadatan Lalu Lintas Pada CCTV Publik Pemerintah Kota Malang Menggunakan YOLOv8 Surya, Andi; Wahyuni, Ida
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v9i2.8481367

Abstract

The increasing number of motor vehicles in Malang City has led to a rise in traffic volume, resulting in a higher risk of congestion, especially on major roads such as Jalan Ahmad Yani. To address this issue, an automated system capable of detecting and monitoring traffic density is needed. This study aims to develop a traffic density detection system using the YOLOv8 object detection model with video data from public CCTV operated by the Government of Malang City. The methodology includes video data collection, data preprocessing, model training using YOLOv8, model testing, and traffic density calculation based on the number of detected vehicles. The model was evaluated during training using precision and recall metrics, resulting in a precision of 89.4% and a recall of 85.2%. Model testing was conducted on test videos by calculating accuracy based on a comparison between the number of vehicles detected by the system and the manual vehicle count, resulting in an average accuracy of 92.8%. These results indicate that the model is capable of accurately detecting vehicles in real-world conditions. This system can serve as a foundation for developing automated traffic monitoring systems that utilize visual data from CCTV.
Analisis Pengaruh Variasi Aktivator Kimia Pada Karbon Aktif Kayu Sengon Untuk Pengolahan Filtrasi Air Asam Tambang Riza Hudayarizka; Raudiah Tuzzahra Putri; Mochammad Purwanto; Ismi Khairunnissa Ariani
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v9i2.8481421

Abstract

Acid mine drainage is one of the major pollutants generated from coal mining activities, characterized by high concentrations of heavy metals such as Fe and Mn and very low pH levels, making it unsuitable for environmental discharge. This study aims to analyze the effect of different chemical activators (NaOH, H₃PO₄, HCl, and no activator) on the effectiveness of activated carbon made from sengon wood in removing contaminants from acid mine drainage. The carbonization process was carried out at high temperatures, followed by chemical activation and application as filtration media. The results showed that unactivated carbon provided the highest TSS removal efficiency at 65.79% and increased the pH to 2.7. However, all variations of activated carbon were ineffective in removing Fe and Mn, likely due to the low initial pH causing protonation of functional groups on the carbon surface, thus reducing their adsorption capacity. This study indicates that while chemical activation influences the characteristics of activated carbon, it is not yet sufficient for optimal removal of heavy metal pollutants.
Strategi Penurunan Dampak Lingkungan pada Instalasi Pengolahan Air Minum di Kota Balikpapan dengan Metode Life Cycle Assessment (LCA) Muhamad Nur Ibnu Luthfi Saud; Haifa Cahya Nabila Almunawar; Intan Dwi Wahyu Setyo Rini; Tasya Mirza Ratu Pattisahusiwa; Rizka Lestari
SPECTA Journal of Technology Vol. 9 No. 2 (2025): Specta Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v9i2.8481481

Abstract

The clean water production process must be carried out effectively without harming the environment. The Regional Drinking Water Company (PDAM) Tirta Manuntung Balikpapan City produces clean water through several Drinking Water Treatment Plants (DWTP) such as Kampung Damai and Kilometer (KM) 8. Potential negative impacts can arise from the use of chemicals, processing methods and units, as well as high-power equipment. The Life Cycle Assessment (LCA) method can be used to systematically calculate the environmental impacts of an activity's input, process, and output. This study aimed to calculate the environmental impacts due to the production process at Kampung Damai DWTP and KM 8 DWTP of Balikpapan City using the LCA method, as well as formulate strategies to reduce negative impacts. The principle of this study was to calculate impacts using the ReCiPe 2016 model (midpoint H), based on software (SimaPro), with gate-to-gate data coverage (from the intake unit to the reservoir). The study's results found that every 1 m³ of production at Kampung Damai DWTP resulted in impacts in the form of human carcinogens (0.0179 pt), freshwater ecotoxicity (0.00329 pt), and freshwater eutrophication (0.00266 pt). Meanwhile, at KM 8, DWTP resulted in human carcinogenic impacts of 0.026 pt, freshwater ecotoxicity of 0.04 pt, and marine ecotoxicity of 0.03 pt. Alternative strategy to mitigate potential environmental impacts can be implemented through the substitution of aluminum sulfate (Al2SO4) chemicals with Poly Aluminum Chloride (PAC), which reduces human carcinogenicity by 28%, freshwater ecotoxicity by 12%, and freshwater eutrophication by 4% at Kampung Damai DWTP. Furthermore, substitution of chemicals with PAC and low-power electrical equipment can reduce human carcinogenicity by 8.38%, freshwater ecotoxicity by 14.09%, and marine ecotoxicity by 12.13% at KM 8 DWTP.

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