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All Journal International Journal of Applied Power Engineering (IJAPE) Bulletin of Electrical Engineering and Informatics Elkawnie Science and Technology Indonesia Journal of Applied Geospatial Information Sinkron : Jurnal dan Penelitian Teknik Informatika Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Journal of Technomaterial Physics Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Journal of Computation Physics and Earth Science
Tarigan, Kerista
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Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Machine Learning for Handoffs Classification Based on Effective Communication History Simbolon, Anita Ira Agustina; Pujiastuti, Maria; Jaya, Indra Kelana; Tarigan, Kerista; Sinambela, Marzuki
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (248.188 KB)

Abstract

An important step in data effective communication in handoffs process analysis is data exploration and representation. Communication in handoff treatment is crucial to protect the patients and it can lead to patient’s safety, discontinue care of a patient or the cause loss of important information related to the continuum of care. In this case, we use the machine learning technique by using Support Vector Machine for classification the handoffs for twenty weeks to analysis and represented based on the effective communication history. We used handoffs dataset which employed from Arifin Achmad Hospital in Pekanbaru, Indonesia. The result indicated the performance of the designed system was successful and could be used in handoffs analysis based on the effective communication histories in Arifin Achmad Hospital in Pekanbaru, Indonesia.
Nitrogen-Doped Carbon Dots From Bilimbi Juice (Averrhoa bilimbi L.) Via Hydrothermal Method For Iron and Mercury Sensing Averroes Fazlur Rahman Piliang; Kerista Tarigan; Syahrul Humaidi; Diana Alemin Barus; Saharman Gea
Elkawnie: Journal of Islamic Science and Technology Vol 8, No 1 (2022)
Publisher : Universitas Islam Negeri Ar-Raniry Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/ekw.v8i1.11813

Abstract

Abstract: Carbon dots (CDs) have been widely used in various applications, one of them being metal ion sensing. Synthesizing CDs with sensing characteristics is influenced by two factors, i.e., precursor and dopant agent. This study aims to use bilimbi (Averrhoa bilimbi) with N, N-dimethylformamide (DMF) as a nitrogen source to synthesize CDs via the hydrothermal method. The result of hydrothermal showed significant colors of CDs with and without the presence of nitrogen, and these behaviors were also confirmed by the differential absorption of the CDs, with λmax of absorption at 291 nm. FTIR spectra confirmed the presence of functional groups related to CDs, such as C-H, C=H, C=N, C=O, C-O-C, and NH2. Meanwhile, emission spectra displayed fluorescent emission at λmax 495 nm (DMF 2%) and 491 nm (DMF 4%). The ion metal sensing test showed that these two samples with 2% and 4% of DMF were sensitive to Fe3+ and Hg2+ sensing. These characteristics concluded that NCDs from bilimbi juice via hydrothermal method were able in sensing metal ions, such as Fe3+ and Hg2+.Abstrak: Karbon dots (CDs) telah banyak diterapkan pada berbagai penggunaan, salah satunya adalah sebagai alat pendeteksi ion logam. Sintesis Cds dengan kemampuan mendeteksi dipengaruhi oleh dua faktor, yaitu prekursor dan agen dopant. Penelitian ini bertujuan untuk menggunakan asam belimbing wuluh (Averrhoa bilimbi) dengan penambahan N, N dimetilformamida (DMF) sebagai sumber nitrogen sebagai bahan sintesis CDs melalui metode hidrotermal. Hasil hidrotermal menunjukkan perbedaan emisi warna dari CDs dengan dan tanpa penambahan DMF, dan karakteristik ini juga ditunjukkan dengan adanya perbedaan penyerapan panjang gelombang maksimum (λmax) di 291 nm. Spektra FTIR juga mengkonfirmasi adanya gugus fungsi terkait dengan CDs, seperti C-H, C=H, C=N, C=O, C-O-C, dan NH2. Sementara itu, emisi spekra menunjukkan emisi fluorosensi pada λmax sebesar 495 nm (DMF 2%0, dan 491 nm (DMF 4%). Pendeteksian ion logam pada kedua sampel sensitif pada ion Fe3+ dan Hg2+. Karakteristik ini menyimpulkan bahwa NCDs dari jus asam belimbing dapat digunakan sebagai alat pendeteksi ion logam dalam air, khususnya pada ion logam besi dan merkuri.
Development of Electric Power Transmission Using Laser with Fiber Optics for Disaster Equipment in Remote Areas Mariana Elisabet Purba mariana; Bambang Widiyatmoko; Kerista Tarigan
Journal of Technomaterial Physics Vol. 5 No. 1 (2023): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v5i1.10417

Abstract

Instrumentation for monitoring natural disasters as an integrated early warning system has been widely developed and placed in areas that are estimated to be prone to natural disasters to help the government and the community. The purpose of this study is to take pre- and post-disaster measures to reduce losses experienced. However, the placement of these monitoring instruments has many shortcomings, one of which is the theft of the main components of the power supply and the battery used to activate the instrument. An alternative technology to solve this problem is to rely on power transmission with fiber optic-based light. The laser will be sent to the location using fiber optics which is then emitted to the solar panels so that the laser is converted into electrical energy. The power produced by an 810 nm laser-illuminated solar panel with a power of 140 mW is 7.76 mW. The power to produce an 810 nm laser must provide the same power as a monochromatic solar panel, which is illuminated by the sun's intensity at 25.395 mW.
The Effect of Resistivity of Used Cooking Oil on The Quality of Palm Cooking Oil Masherlina Masherlina; Kerista Tarigan; Syahrul Humaidi
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.7774

Abstract

Indonesia is a country with a large area of oil palm plantations, so there are many factories for the production of cooking oil. Indonesian people use a lot of cooking oil because processed food in Indonesia is mostly fried which causes a lot of used cooking oil to be wasted. The purpose of this study was to determine the resistivity of used cooking oil on the quality of palm cooking oil which can be useful in the field of renewable energy and reduce environmental pollution due to excessive waste of palm cooking oil which can cause damage to aquatic ecosystems, pollute the soil, and cause health problems. Used cooking oil can be processed properly so it is not harmful to the environment and health. One of the steps in processing used cooking oil is to know its resistivity value as the beginning of the refining process. Used cooking oil has a resistivity value that contrasts with soil so it is easy to interpret. Thus it is expected to know the resistivity value of used palm cooking oil. The results of this test obtained the resistivity value of used cooking oil after frying five times, namely 13.320 Ohm meter.
Design of Analytical Balance for Calibration of Measuring Cup of Observatory Type Rain Gauge with Automatic Pump Muhammad Wildan Abdulmajid; Kerista Tarigan; Syahrul Humaidi; Marhaposan Situmorang; Perdinan Sinuhaji; Yahya Darmawan
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.7825

Abstract

The Observation type rain gauge is a manual type rain gauge that requires a measuring cup to measure rainfall in millimeters (mm) of rain. Precise measurement requires calibration of the measuring cup so that the scale reading on the measuring cup can be trusted. Calibration of measuring cups using the mass method related to volume can use an analytical balance. Technological developments can make manual analytical balance calibration automatic by utilizing microcontrollers and pumps in filling the volume. The design of the analytical balance gets results where the average correction value for the 50 ml set point is 0.001ml, the 100 ml set point is -0.760 ml, the 150 ml set point is -0.024 ml, the 200 ml set point is -0.739 ml, and the 250 ml set point is 0.628 ml. The uncertainty value for all set points is ±0.58 ml. The correction value at each set point is different, this is influenced by the value of the measuring cup meniscus, water temperature, and Load Cell sensor. The data generated by the tool can be downloaded through the Arduino IDE application and produced files in Excel.
Identification of Rainfall events on Climate Phenomena in Medan based on Machine Learning Deassy Eirene Diana Doloksaribu; Kerista Tarigan; Richard Mahendra Putra; Yahya Darmawan
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.7738

Abstract

Indonesia has diverse topographical conditions that result in Indonesia having a unique climate. One of the unique climate elements to be studied is rainfall, because rainfall has a different pattern in each region, this different rainfall pattern is caused by several climate phenomena factors that affect the rainfall pattern, including El-Nino Southern Oscillation (ENSO), Indian Ocean Dipole (IOD) and Madden Julian Oscillation (MJO). Medan City is the capital of North Sumatra province which is one of the areas in the flood-prone category in North Sumatra, where the factor of flooding is due to rainfall events in a long period of time, so the author wants to know which climatic phenomena factors can affect rainfall events in Medan city by using Machine Learning technology through the Matlab application, where in this study has a method by forming four combination models, namely the combination of the influence of IOD, SOI and MJO; second combination of IOD and SOI; third combination of SOI and MJO; and fourth combination of MJO and IOD, these four combinations will be the rainfall value of the four models. Furthermore, the rainfall value of the model is compared with the observed rainfall value and verification test using Mean Absolute Error (MAE) and correlation. Then the calculation of the comparison between the four rainfall models with the observed rainfall obtained the lowest MAE value during the SOI and MJO phenomenon of 15.0 mm and the highest correlation value during the IOD and SOI and SOI and MJO phenomena. So it is concluded that the combination of SOI and MJO has the best verification value. This shows that based on Machine Learning modeling, the model shown as the best predictor in Medan city is when the model combination consists of SOI and MJO.
Development of an Automated Temperature Calibration Monitoring System Using Internet of Things for the Regional Meteorology, Climatology, and Geophysics Agency (Bmkg) in Medan Humam Maulana; Kerista Tarigan; Syahrul Humaidi; Yahya Darmawan
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.7819

Abstract

The Regional Meteorology, Climatology, and Geophysics Agency (BMKG) plays a crucial role in providing accurate and reliable services related to meteorology, climatology, and geophysics. Temperature observation is one of the important tasks carried out by the BMKG as it is essential for weather and climate forecasting, as well as for predicting natural disasters. To ensure the accuracy of the data, the thermometers used for temperature observation must be in good working condition and calibrated regularly. According to the Republic of Indonesia Law No. 31, Article 48, Year 2009 on Meteorology, Climatology, and Geophysics (MKG), all observation equipment must be in good working condition and calibrated regularly. Calibration is a crucial step in ensuring the accuracy and operational fitness of the observation equipment. The International Organization for Standardization (ISO) / International Electrotechnical Commission (IEC) 17025:2017 also emphasizes the importance of ensuring the quality and accuracy of all measurement instruments. The Calibration Laboratory at the BMKG Regional Office I in Medan is accredited with ISO/IEC 17025:2017 by the National Accreditation Committee (KAN). However, the calibration process can be time-consuming and requires constant monitoring to achieve stable data. During temperature and humidity calibration, the calibration laboratory's environment must be conditioned to maintain the performance of sensitive instruments that are susceptible to environmental changes. This study aims to design an automated temperature calibration monitoring system using the Internet of Things (IoT) to improve the efficiency of the calibration process and achieve maximum calibration results at the BMKG Regional Office I in Medan. The system will enable the calibration personnel to monitor the calibration process remotely and receive real-time data, allowing for more effective analysis and decision-making.
Implementation of Monte Carlo Simulation in Evaluation of The Uncertainty of Rainfall Measurement Romeo Kondouw; Kerista Tarigan; Syahrul Humaidi; Marhaposan Situmorang; Mardiningsi Mardiningsi; Yahya Darmawan
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.7820

Abstract

Many factors trigger the uncertainty of rainfall measurement. Several factors can be related to the instruments, weather conditions, and acquisition methods. The degree of uncertainty could be obtained through the calibration process. In principle, rain gauges are calibrated based on the standard process ruled by ISO/IEC 17025 using the law of propagation of uncertainty (LPU). However, LPU requires complex and complicated mathematical calculations. An alternative approach is needed to evaluate measurement uncertainty besides the LPU method. This research used the Monte Carlo method to determine the uncertainty during the rainfall measurement. This method involves repeated random simulations by providing probability distribution on the input and output of rainfall measurement. The results showed that the Monte Carlo method can accurately determine the uncertainty of rainfall measurement. In addition, the uncertainty analysis also showed that instrument inaccuracy is the most significant factor that causes the uncertainty of rainfall measurement.
The Effect of Different Liquid on Temperature Uniformity and Stability in Microbath 7102 Waslina Rangkuti; Kerista Tarigan; Syahrul Humaidi; Marhaposan Situmorang; Erna Frida; Yahya Darmawan
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 2: April 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i2.7842

Abstract

Microbath Fluke Type 7102 is used for thermometer calibration. In the calibration process, Microbath uses liquid media as heat conductor. Liquid media in Microbath during the calibration process there is a value of uniformity and temperature stability. The value of temperature uniformity and stability is an influential component in determining the value of measurement uncertainty (U95). The smaller the U95 value, the better the calibration results. This is a factor in this study to analyse the uniformity and temperature stability of liquid types of Water, Methanol and Glycol. The uniformity test method is carried out using 5 (five) point measurements, where the reference point is in the middle. The stability test method uses the measurement of one reference point. Uniformity and stability values are connected to determine the uncertainty of measurement value using the GUM (Guide to the expression of Uncertainty in Measurement) method. The analysis showed that Methanol is more homogeneous than Glycol and Water, with values of 0.0855 ºC < 0.0942 ºC < 0.1030 ºC. Water is more stable than Methanol and Glycol, with values of 0.0021 ºC < 0.0027 ºC < 0.0028 ºC. The time to stabilise Methanol is better than Water and Glycol. Methanol can be stabilised with ± 35 - 40 minutes, Water needs ± 38 - 40 minutes and Glycol needs ± 48 - 50 minutes. The relationship between uniformity and temperature stability is that the smaller the uniformity and stability values, the smaller the U95 of a calibration result. The U95 value of Methanol 0.11 ºC, Glycol 0.12 ºC and Water is 0.13 ºC.
Characterization of Meteorological Drought Using Standardized Precipitation Index and Standardized Precipitation Evapotranspiration Index Methods in North Sumatera Fanly Parhimpunan Manullang; Kerista Tarigan; Marhaposan Situmorang; Syahrul Humaidi; Deassy Eirene Diana Doloksaribu; Yahya Darmawan
Prisma Sains : Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Vol 11, No 4: October 2023
Publisher : IKIP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/j-ps.v11i4.9961

Abstract

Climate variability in Indonesia is influenced by several global factors including El Niño Southern Oscillation and Indian Ocean Dipole, one consequence of climate variability is drought. The drought index is used to identify and describe the level of drought in an area, the methods used in this study are the Standardized Precipitation Index and the Standardized Precipitation Evapotranspiration Index which are calculated based on climate data with a span of 24 years as many as 67 rain observation posts in North Sumatra using R Studio software. The purpose of this study is to determine the factors of global climate phenomena that affect drought in North Sumatra and its impact on rice crop productivity and analyze drought characteristics spatially and temporarily. The resulting index values are then analyzed using correlation methods to see their relationship with ENSO and IOD. The results showed that the incidence of the ENSO phenomenon had a very strong relationship with meteorological drought in North Sumatra with a correlation value range of -0.85 to -0.97, and as many as 62.5% of 32 districts experienced a decrease in rice crop productivity during El Niño with strong intensity in 2015.
Co-Authors Abdulmajid, Muhammad W. Aliakbar, Muhammad Andi Setiono Averroes Fazlur Rahman Piliang Bambang Widiyatmoko Baruara, Lamrouli Bonardo, Doli Dadan Ramdan Deassy Eirene Diana Doloksaribu Deassy Eirene Diana Doloksaribu Diana Alemin Barus Erna Frida Fanly Parhimpunan Manullang Frikson Jony Purba Herri Trisna Frianto, Herri Trisna Humam Maulana Indra Kelana Jaya Kurniawan, Edison Manik, Yosia Gopas Oetama Mardiningsi Mardiningsi Marhaposan Situmorang Marhaposan Situmorang Mariana Elisabet Purba mariana Marrisa Purwati Sitinjak Masherlina Masherlina Muhammad Ali Akbar, Muhammad Ali Muhammad Wildan Abdulmajid Perdinan Sinuhaji Pujiastuti, Maria Richard Mahendra Putra Rikson Siburian Romeo Kondouw Ruth Nia Magdalena Siburian Saharman Gea Santoso, Bayu Saragih, Dearninta A. P. Simamora, Berto Simamora, Widya Simanjuntak, Crystina Simatupang, Lisnawaty Simatupang, Robin Simbolon, Anita Ira Agustina Sinambela Marzuki Sitorus, Erika Arta Mevia Sri Wahyuni Syahrul Humaidi Syahrul Humaidi Syahrul Humaidi Syahrul Humaidi, Syahrul Theresia Octavia br Siburian, Claudia Timbangen Sembiring Waslina Rangkuti Yahya Darmawan Yahya Darmawan Yahya Darmawan Yahya Darmawan Yosia Gopas Oetama Manik Yulianta Siregar