Claim Missing Document
Check
Articles

Found 24 Documents
Search

Prediksi Emisi CO2 dengan Analisis Runtun Waktu Hasanah, Primadina; Fitria, Irma
SPECTA Journal of Technology Vol 1 No 1 (2017): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v1i1.72

Abstract

Global warming is caused by various factors, one of them is the emission of CO2. Time series data of CO2 emission will be analyzed using moving average and exponential smoothing to forecast the CO2 emission of the period ahead. Both models provide estimates of forecasting based on the average value of the previous data and can be used for forecasting time series data containing trend component. The best models are selected based on the smallest error value based on the criteria of MAPE, MSD, and MAD
Penerapan Algoritma Kalman Filter dalam Prediksi Kecepatan Angin di Kota Balikpapan Fitria, Irma; Hasanah, Primadina
SPECTA Journal of Technology Vol 1 No 2 (2017): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v1i2.78

Abstract

One of the climate?s elements that has an influence on daily activities is the wind speed. Wind is a movement of air that flows from high pressure to low pressure region. In the shipping and aviation, wind speed is a very important thing to predict. This is due to the wind speed is very influential on the process of the transportation activities. A strong wind can disturb the fluency of transportation. Therefore, information regarding the wind speed prediction is very important to know. In this paper, Kalman Filter algorithm is applied in the wind speed prediction by taking the case in Balikpapan. In this case, the Kalman Filter algorithm is applied to improve the result of ARIMA prediction based on error correction, so we get the prediction result, called ARIMA-Kalman Filter. Based on the simulation result in this study, it can be shown that the prediction result of ARIMA-Kalman Filter is better than ARIMA?s. This is known from the level of accuracy from ARIMA-Kalman Filter, which increased about 65% from ARIMA result.
MODEL MATEMATIKA MENGENAI KESADARAN MASYARAKAT DALAM PERILAKU HIDUP BERSIH DAN SEHAT DI KOTA SAMARINDA Pancahayani, Sigit; Arti, Rissa Putri; Fitria, Irma; Subchan, Subchan
Majalah Ilmiah Matematika dan Statistika Vol 20 No 2 (2020): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v20i2.19647

Abstract

Samarinda is one of the big city in Kalimantan since it is a capital city of East Kalimantan Province. Its population is about 988,943 in 2015, but only 28.62 percent of the whole households were applying clean and healthy living behavior. To encourage this behavior to the society, it needs some health promotions to be introduced to them. In order to know the pattern of clean and healthy behaving households with respect to time, so this research is aimed to perform a mathematical model of the implementation of clean and healthy living behavior which involves health promotion. Runge-Kutta is the used model to solve this model. The result informs that the rate of change of the households which implement a clean and healthy life, called as good people, increases for all sub-districts in Samarinda City. In contrast, households that do not know and do not behave clean and healthy life, called as bad people, are reduced because of the promotion. Keywords: clean and healthy living behavior, health promotion, modeling mathematics.
Analisis Peramalan Inflasi Di Kota Balikpapan Menggunakan Metode ARIMA Lembang, Gebryani Rante; Silfiani, Mega; Fitria, Irma
SPECTA Journal of Technology Vol. 7 No. 3 (2023): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v7i3.1026

Abstract

Uncontrolled inflation is one of the problems in a country's economy. This is because inflation is used as a reference for monetary policy. However, controlling the inflation rate is relatively difficult to do. Therefore, an accurate inflation rate forecast is needed so that it can predict future inflation. This research aims to predict future inflation using the ARIMA method. The data used in this research is inflation in Balikpapan City from January 2016 to December 2022. From the analysis results, the best ARIMA method for predicting inflation in Balikpapan City is ARIMA([1,2,12],0,[6]) which has an RMSE value of 0.22886. Further research that can be carried out to improve the accuracy of Balikpapan City inflation forecasting is the use of combined methods or adding independent variables that are able to explain Balikpapan City inflation in the future.
Application of Optimal Control on Mathematical Model of Drug Distribution with Education and Criminal Law Aspect Padja, Merry Yulianti; Soemarsono, Annisa Rahmita; Fitria, Irma
Jurnal ILMU DASAR Vol 25 No 2 (2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jid.v25i2.42387

Abstract

Drugs are substances that, when used, can impact the body, particularly the central nervous system/brain. Prolonged drug use can lead to various disorders affecting physical, psychological, and social functioning. Generally, drug use cases occur among teenagers due to a lack of education and low literacy levels about the dangers of drug. In this study, control efforts by modeling the problem of drug use will be studied. In this study, modeling the problem of drug users with control efforts will be studied. There were additional controls for preventing drug abuse through school education, contact prevention through security and healthy living campaigns, and the procedures to report all drug abuse activities. The Pontryagin Minimum Principle is used to shows that the optimal controls influence the level of drug user distribution.
PENGARUH KONTROL DIRI TERHADAP PROKRASTINASI TENAGA KEPENDIDIKAN DAN DOSEN BERDASARKAN GENDER Handayani, Selvian; Alif, Muh. Ikhsan; Fitria, Irma; Hidayat, Muhammad Afdelpiero; Syabina, Masayu Sitti Nur
Idaarah: Jurnal Manajemen Pendidikan Vol 8 No 2 (2024): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/idaarah.v8i2.52430

Abstract

The role of academics in achieving the goal of educating the nation is very important, as demonstrated by lecturers and academic staff. Effective time management is essential, yet procrastination is still common, often putting off tasks such as preparing teaching materials, grading, and completing research. Procrastination, a complex issue involving self-control, negatively impacts work quality and academic productivity. This study aims to analyses the influence of self-control on academic procrastination among lecturers and academic staff at Kalimantan Institute of Technology, focusing on gender-based patterns. Using purposive sampling, data was collected through questionnaires and analyzed using Structural Equation Modeling (SEM-PLS). Findings showed a significant negative relationship between self-control and procrastination, with a stronger effect among male academics. This suggests that higher self-control correlates with lower procrastination tendencies. These results underscore the importance of self-control in managing academic responsibilities and highlight the need for targeted interventions to improve time management and self-regulation. It is recommended that educational institutions develop training programs that focus on improving self-control, especially tailored to male academics, to reduce procrastination and improve overall productivity.
Rancangan Smart Home System untuk Pengendalian Saklar Listrik Sunardi, Hendy Indrawan; Kirsan, Aidil Saputra; Fitria, Irma; Detavia, Andi Mira
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 1 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i1.6788

Abstract

Teknologi yang berkembang pesat mendorong munculnya Smart Home System, sebuah sistem yang memungkinkan pengguna mengendalikan perangkat elektronik di rumah mereka melalui internet. Penelitian ini merancang Smart Home System untuk mengendalikan saklar listrik dan memantau penggunaan daya. Metode prototype digunakan untuk mengembangkan sistem. Tahapannya meliputi, Communication, Quick Plan dan Modelling Quick Design, Construction of Prototype, Deployment, Delivery Feedback. Sistem prototipe diuji dan menghasilkan perancangan sistem menghasilkan story point, use case diagram, ERD, dan desain rangkaian alat. Sistem dibangun melalui 20 user story dalam 4 iterasi. Pengujian User Acceptance Testing menunjukkan semua fitur berfungsi sesuai harapan pengguna. Sistem ini memudahkan pengguna mengendalikan dan memantau perangkat elektronik secara jarak jauh. Sistem berbasis website dan dapat diakses melalui berbagai perangkat. Penggunaan modul dan sensor yang efisien, terjangkau, dan dapat diandalkan. Penelitian ini berhasil merancang Smart Home System untuk mengendalikan saklar listrik dan memantau penggunaan daya. Sistem ini mudah digunakan, terjangkau, dan dapat diakses melalui berbagai perangkat
STABILITY ANALYSIS OF GAMBLING BEHAVIOR MODEL WITH COGNITIVE BEHAVIORAL THERAPY TREATMENT Asfa Niswah, Fazat; Nugraheni, Kartika; Fitria, Irma; Dewanti, Retno Wahyu
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 3 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss3pp1879-1892

Abstract

Gambling, driven by the desire for quick profits, involves individuals or groups betting money, often resulting in significant financial consequences. Gambling behavior can be influenced by the environment or society. Thus, the dynamics of environmental influences on gambling behavior can be mathematically modeled using differential equations. This study presents a mathematical model of the environmental impact on the dynamics of the SI1I2T (Susceptible-Infective1-Infective2-Treatment) population of gamblers undergoing cognitive behavioral therapy (CBT). The model replaces the recovered sub-population with a treatment sub-population, representing individuals receiving CBT, as there is no definitive cure for gambling addiction. It consists four sub-populations: It consists of four sub-populations: (S) individuals susceptible to gambling, (I₁) gamblers who are not yet addicted, (I₂) addicted gamblers, and (T) individuals undergoing treatment but at risk of relapse. Mathematical analysis identifies two equilibrium points: a gambling-free equilibrium and an endemic gambling equilibrium. Furthermore, the results of the stability analysis using the linearization method shows that the balance point has a asymptotically stability characteristic requirement. The basic reproduction number ( ) was calculate and resulted if < 1, then the free gambler population equilibrium point is asymptotically stable, and vice versa. Based on the results of the data analysis, the value of = 0.5. This value is less than 1, so the equilibrium point obtained is the free gambler population and asymptotically stable equilibrium point. This means that the population will be free from gambling behavior. Numerical simulation represents the results of the analysis that has been obtained. Providing cognitive behavioral therapy (CBT) to gamblers in treatment can help reduce the gambler population. The population growth will decrease in such a way that it will eventually lead to a gambling-free population
Prospective Elementary Teachers’ Experiences in Implementing GeoGebra-based Mathematics Activities on Area of Rectangles Fendrik, Muhammad; Putra, Zetra Hainul; Putri, Erinda; Mutiarsih, Fatma; Fitria, Irma; Nurmadiniati, Nurmadiniati
Indonesian Journal of Science, Technology, Engineering, Art, and Mathematics Education Vol. 2 No. 2 (2023): November 2023
Publisher : Indonesian Journal of Science, Technology, Engineering, Art, and Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33578/

Abstract

This study aims to analyze the implementation of GeoGebra-based mathematics learning as software that can assist elementary school students in understanding the concept of the rectangle area. This research was conducted by giving a GeoGebra-based activity project to a group of prospective primary school teachers from the primary school teacher education study program from a public university in the province of Riau, Indonesia. They are involved in designing and asking students' responses to the implementation of GeoGebra-based mathematics learning on finding the rectangle area. The findings revealed that students have positive views and experiences in utilizing the use of this GeoGebra software in learning mathematics. However, some students have challenges operating the GeoGebra applet due to a lack of experience in using electronic devices. As for the operation, students should use this software more often so that they are more accustomed to knowing the features available in the GeoGebra software.
ANALISIS EKSISTENSI TRAVELLING WAVE PADA MODEL SIR PENYEBARAN PENYAKIT COVID-19 DENGAN MENGGUNAKAN PERSAMAAN DIFUSI Euchalypta, Safhira Sekar; Fitria, Irma; Millah, Nashrul
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 3 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1307.815 KB) | DOI: 10.30598/barekengvol15iss3pp513-524

Abstract

Penyebaran penyakit COVID-19 dari satu daerah menuju daerah lain menyebabkan travelling wave dapat terjadi. Penelitian ini akan menyelidiki eksistensi travelling wave pada penyebaran penyakit COVID-19 menggunakan model epidemi sederhana dengan 3 (tiga) variabel, dimana Susceptible ( ), Infected ( ), dan Recovery ( ). Analisis eksistensi travelling wave dilakukan dengan cara linierisasi model pada persekitaran dua titik tetap model SIR untuk mendapatkan kecepatan minimal penyebaran penyakit. Hasil dari penelitian ini menemukan bahwa penyebaran penyakit COVID-19 antar daerah cukup cepat terjadi pada titik tetap bebas penyakit jika terdapat infeksi dari luar dengan kecepatan minimal penyebaran penyakit sekitar km/hari, sehingga travelling wave dapat terjadi.