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BERKALA SAINSTEK
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Berkala SAINSTEK (BST) merupakan jurnal ilmiah yang memuat artikel hasil penelitian di bidang sains dan teknologi. Secara khusus BST diperuntukan bagi penulis internal mahasiswa Universitas Jember bidang fisika, matematika, biologi, kimia, teknik sipil, teknik mesin, teknik elektro dan sistem informasi. Namun BST juga menerima artikel dari penulis eksternal sepanjang memenuhi kriteria dan dalam lingkup bidang sains dan teknologi.
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Articles 9 Documents
Search results for , issue "Vol 11 No 1 (2023)" : 9 Documents clear
The Coating of Mahogany Leaves Composite Using Clove Leaf Essential Oil as An Anti-Fungal Ganoderma lucidum Masturi, Masturi; Alighiri, Dante; Anwar, Ahmad Faisal; Choirunnisa, Fadhillah; Kirana, Kurnia Galuh Candra
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.38066

Abstract

This work has been carried out to use clove leaf oil as a composite coating component having anti-fungal properties. The mushroom growth testing was carried out with minimum inhibitory concentration (MIC) testing with variations in concentrations of 0%, 0.2%, 0.4%, 0.6%, 0.8%, up to 1% and obtained MIC values of clove oil found at a concentration of 0.4% in inhibiting the growth of white-rot fungi. Ganoderma lucidum mushroom is used as a weathering fungus applied in composites. The results of SSD testing showed that the growth of Ganoderma lucidum fungus began to be inhibited in composites coated with clove oil with a concentration of 0.6%.FTIR testing showed the presence of hydroxyl group (O-H), methylene group (C-H), alkenyl (C=C), and aromatic ring (C=C-C), GC-MS test results showed clove oil containing 67.40% eugenol, 17.42% beta-caryophyllene, 2.91% isopropenyl acetate, 1.56% caryophyllene oxide and 0.91% alpha-copaene. Based on research data, it shows that clove leaf oil can be used as an anti-fungal coating component in composites.
Morphological Characteristic of Adult Armigeres subalbatus from Sumbersari Jember Nihayah, Husnatun; Purwatiningsih, Purwatiningsih
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.37098

Abstract

Armigeres subalbatus is a type of mosquito that is widely distributed in the world, including Jember Regency, Indonesia. The larval natural habitat is mainly found in trees that can hold water, adult mosquitoes can be found indoors or outdoors. In the field of health, Ar. subalbatus acts as a vector for filariasis, Japanese Encephalitis (JE) and zika. This study aims to identify the morphological characteristics of the Ar. subalbatus from Sumbersari Village, Jember Regency. Although in Indonesia there is no significant evidence of the role of Ar. subalbatus in the health sector, it is important to detect the morphological features of Ar. subalbatus to be able to detect mosquitoes properly. Knowing the exact type of mosquito can provide consideration for appropriate mosquito control methods. The method used is through the installation of ovitrap in November 2022. The ovitrap media is in the form of tap water, the ovitrap is left for 8 days. Ar. mosquitoes were found in the larval stage of the ovitrap. The larvae were brought to the Jember University Faculty of Mathematics and Natural Sciences Zoology Laboratory for hatching and data collection on the morphological characteristics of mosquitoes. The results of this study include the morphological characteristics used for the identification of Ar. subalbatus which includes the shape of the proboscis, flagelomeres on the palps, color of the scutum, border of the scutum, size of the antepronotum, bands on the pleura, prespiracular and postspiracular areas, edges of the mesepimeron, abdomen (tergum, sterna), apex of the femur, venation of the wings, alula and upper calypter of the wings.
Effect of Variations in the Composition of Cow's Rumen and Straw on the Quality of Organic Fertilizer Sugito, Sugito; Al Kholif, Muhammad; Ratnawati, Rhenny; Permatasari, Nidya
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.36614

Abstract

Organic fertilizer raw materials that can be obtained naturally and are rich in fertilizer nutrients can be found in animal slaughtering activities. Slaughtering activities generally produce animal waste and manure, which can be used as raw material for organic fertilizer. This study aimed to investigate the effect of the composition of raw materials on the quality of organic fertilizers. The organic fertilizer parameters studied were C/N, P, K, pH, and temperature. This study used four reactors with each reactor volume of 120 L and the exact weight of raw materials in each reactor of 20 kg. Variations in the composition of the raw material of the rumen of Madura cattle and straw in this study were RK (100% cow rumen), R1: (65% cow rumen: 35% straw), R2: (50% cow rumen: 50% straw), R3: (35% cow rumen: 65% straw). The composting process is carried out for 50 days. Analysis of the quality parameters of organic fertilizer using SNI 2803: 2010. The results showed that differences in the content of the raw materials impacted the quality of the generated organic fertilizer. R3 (35% rumen cattle: 65% straw) with C/N ratio = 13.25, P = 6.12%, K = 7.55%, pH = 6.82, and Temperature = 33.7oC are variations in the raw material composition for Madura cattle rumen and straw that fulfill the quality criteria of the Regulation of the Minister of Agriculture Number 70 of 2011.
Vulnerability Analysis of Rectorate Building of UIN Mataram against Earthquakes Based on Microtremor Data Ilham, Ilham
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.34115

Abstract

Lombok Earthquake in 2018 caused several damages to buildings, including buildings at UIN Mataram. Therefore, it is necessary to carry out mitigation efforts to reduce losses caused by the earthquake. This study aims to analyze the level of vulnerability of the Rectorate Building of UIN Mataram based on microtremor data. Microtremor signal recording was performed using a 3-component Digital Portable Seismograph, type TDL 303S with a Feedback Short Period Seismometer sensor type DS-4A, GPS, and Laptop. The recording time for each measurement point was 40 minutes with a sampling rate of 100 Hz. The natural frequency of the Rectorate Building of UIN Mataram is 4.15 Hz for the N-S component, and 4.05 Hz for the E-W component. The natural frequency of the Rectorate Building is following the SNI (2002) standard. The resonance index value of the Rectorate Building with the surrounding land is in a low category so that the Rectorate Building is classified as safe against earthquakes. The highest building Vulnerability Index is on the 3rd floor of the Rectorate building, especially in the south wing. For disaster mitigation, the 3rd floor can be converted as a room with minimal staff to reduce the possibility of casualties in the event of an earthquake in the future.
Factors Influencing the Intention of Jakarta Workers to Move to the State Capital in Kalimantan: From Systematic Literature Review to Conceptual Framework of Push-Pull-Mooring Iskandar, Yelita Anggiane
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.38101

Abstract

The plan to relocate the national capital (IKN) from DKI Jakarta to Kalimantan Island will soon be realized when the population relocation is initiated by workers, one of whom is from the central ministry sector. This has never been studied before regarding the need to change residence, so the factors that encourage or restrain workers from moving to IKN have not been identified. Ideally, the transfer of these workers to IKN is based on full willingness and awareness of the conditions of life that will be lived in the future. To find out how far the intention of Jakarta workers is to move to IKN, factor analysis is needed using the Structural Equation Modeling (SEM) method. The concept used to investigate these push, pull, and restraint factors is push-pull-mooring (PPM). These three factors are important to study to obtain a model structure that can be used as a direction for IKN development. In addition, this research is also intended to find out technical information related to the reasons behind the readiness of Jakarta workers to change their domicile to IKN so that the expectations of the benefits of the new capital city can be accommodated as well as possible by interested parties, such as the central government. and regions, including the private sector.
Decision Support System Design and Development for Determine Graduate Phase of College Students with Naïve Bayes Algorithm Web-Based in Indonesia Institute of Business and Technology Adyana, Andres; Dirgayusari, Ayu Manik; Maharani, Nia; Andika, I Gede; Supartha, I Kadek Dwi Gandika
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.33385

Abstract

In the course of the lecture period, each student is different, various factors can affect the mental and academic achievement of students which have an impact on their graduation period. This things also impact on the campus of the Indonesian Institute of Business and Technology, until now there is no system that can determine the graduation period of students at the campus, therefore it is necessary to build a decision support system to determine the graduation period of students, especially students in the Informatics Engineering Study Program and Program Study of Computer Systems at the Indonesian Institute of Business and Technology (INSTIKI) using the Naïve Bayes algorithm that utilizes parameters, namely student academic data consisting of work status, Semester Achievement Index (IPS) scores semesters one untill four, and Grade Point Average (IPK). The system designed by using the GaussianNB library in python and website based. From the results of this study, the accuracy of the model made on the system produces an accuracy value of 87.5% with a dataset rule of 800 data and the data is divided and used as test data by 20%, while the accuracy value of classifying 250 test data on the system is 80.8%.
The Making of Liquid Soap Based on Used Cooking Oil with An Addition of Starfruit Extract (Averrhoa Carambola L.) as an Antioxidant Agustine, Dine; Nurlatifah, Ismi; Choirunnisa, Shaquariza Faiz Indra
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.38096

Abstract

The used cooking oil is a waste that can damage environmental sustainability if its disposed of directly without processing. One of the utilization of it, is as a raw material for making the liquid soap. Sweet starfruit (Averrhoa Carambola L.) is known have a potential as a source of natural antioxidants due to its high vitamin C content, flavonoid content and phenolic compounds. This study aims to determine the effect of adding sweet starfruit extract with variation of concentrations 8%, 10% and 12% on used cooking oil-based liquid soap and to analyze the characteristics of the resulting soap. The results showed that the organoleptic tests (shape, odor, color, water content and foaming power) met the SNI standards 06-3352-2016 which were quite good. The addition of sweet starfruit extract with a concentration of 12% was the most effective as an antioxidant.
The Plan and Realization Evaluation of Supply Crude Oil Activities at PT Kilang Pertamina International - Refinery Unit VI Balongan Putri, Cheryl Suciyanti; Vikaliana, Resista
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.37998

Abstract

PT Kilang Pertamina International - Refinery Unit VI Balongan is the sixth refinery out of seven refineries owned by PT Pertamina (Persero) that processes crude oil into BBM (Fuel Oil), Non-BBM and Petrochemical products in maintaining energy sustainability in Indonesia. Oil and gas management activities carried out by PT Pertamina must be able to run according to the target. For this reason, in carrying out its business processes, PT Pertamina requires good planning for crude oil. This study focuses on the type of Super Heavy (SH) crude oil including Duri, Cinta, Escalante, Ostra, etc., and Heavy (H) including Banyu Urip, GG Condensate, Minas/SLC, Cabinda, Etame, etc. The purpose of this study is to evaluate the discrepancy between plans and the realization of crude oil orders as well as forecasting for the next 12 periods of crude oil at PT KPI - RU VI Balongan. The results show that several forecasting methods match the demand data pattern, namely the cyclical method, cyclical trend, and multiplicative decomposition (seasonal) methods. In finding the error value forecasting is done by calculating the Mean Absolute Percentage Error (MAPE) method. The selected forecasting method that has the highest accuracy is the cyclical trend forecasting method with a MAPE value of 0.22 for heavy crude oil and 0.13 for super heavy crude oil. The cyclical trend forecasting method has succeeded in reducing the error in the crude supply accuracy level compared to the existing Master Program (MP) crude method.
Cover BST Volume 11 No 1 (2023) BERKALA SAINSTEK, Jurnal
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

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

Abstract

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