Article Per Year (5 Year)
p-Index From 2019 - 2024
1.325
P-Index
This Author published in this journals
All Journal JTAM (Jurnal Teori dan Aplikasi Matematika) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Journal of Advanced Computer Knowledge and Algorithms
Zara Yunizar
Departement Of Informatics, Universitas Malikussaleh, Aceh
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
INTERNET NETWORK CLASSIFICATION IN MALIKUSSALEH UNIVERSITY USING NAÏVE BAYES METHOD Eva Darnila; Zara Yunizar; Dhyra Gibran Alinda
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 5 No. 1 (2021): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (594.877 KB) | DOI: 10.46880/jmika.Vol5No1.pp48-53

Abstract

The utilize of web systems at this time is exceptionally critical, particularly for the world of instruction. In expansion to the significance of the web arrange, issues frequently emerge on the web arrange due to an expansive number of clients, the issues can be gotten at the UNIMAL campus incorporate moderate, harmed, and indeed not sent information to its goal since the organize activity isn't ideal. To be able to optimize the web organize by prioritizing organize activity. In this consider, the Credulous Bayes calculation is utilized for the classification handle of organize activity capture information. The application utilized to capture organize activity is the Wireshark application. Utilizing the Credulous Bayes calculation to watch the comes about of organize test information through a calculation prepare that has tall precision. To be specific at the Workforce of Designing 95.73% with a likelihood of testing comes about is 0.00015946 web browsing, 0.00000007 downloads, 0.00008691 gushing, 0.00008497 social media, 0.00000014 floodings.
Clustering the Distribution of COVID-19 in Aceh Province Using the Fuzzy C-Means Algorithm Nurdin Nurdin; Suci Fitriani; Zara Yunizar; Bustami Bustami
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 3 (2022): July
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i3.8576

Abstract

COVID-19 is a virus that attacks the respiratory system in humans and spreads rapidly. The government has taken various ways to reduce the rate of transmission of COVID-19, including by providing a COVID-19 information center that can be accessed by anyone, but there is no grouping of regional zones with high to low COVID-19 cases. Therefore, a clustering process system for the spread of COVID-19 is needed so that it is able to provide information on clusters of COVID-19 distribution areas in Aceh with the highest case zone (red zone), medium case zone (yellow zone), and low case zone (green zone). The steps carried out in this study using the Fuzzy C-Means Algorithm are collecting data (input data), conducting the clustering process (determining the number of clusters, weighting rank, maximum iteration and epsilon), displaying clustering results. In this study, the authors collected COVID-19 data from 23 districts/cities in Aceh using 6 variables consisting of confirmed, in care, healed, died, suspected, and probable. The results of the clustering study on the spread of COVID-19 are as follows: One district/city in cluster 1 (red zone), the four districts/cities in cluster 2 (yellow zone), eighteen districts/cities in cluster 3 (green zone). Based on the results of this study, the Fuzzy C-Means Algorithm can be used and applied properly in clustering the spread of COVID-19 in the Province of Aceh. 
PERANCANGAN DESAIN JARINGAN FIBER OPTIK DENGAN TEKNOLOGI GIGABIT PASSIVE OPTICAL NETWORK DI UNIVERSITAS MALIKUSSALEH Rizal Tjut Adek; Zara Yunizar; Dedi Torang P Maha; Fajriana Fajriana
Jurnal SAINTEKOM Vol. 12 No. 2 (2022): September 2022
Publisher : STMIK Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i2.305

Abstract

Optical fiber is a transmission line that uses glass fibers to transmit light signals from one place to another. Research on FTTH (Fiber To The Home) and FTTB (Fiber To The Building) with GPON (Gigabit Passive Optical Network) carried out on the Malikussaleh University campus by following ITU-T standards. The design process begins with Google Earth mapping, then calculates the feasibility of attenuation, rise time, power link budget, and performs simulations on the Cisco Packet Tracer. Based on the results of the design, the farthest ODP attenuation simulation value is -19,339 dBm and the manual calculation value is 19.2854 dBm, the value meets the ITU-T standard greater than -28 dBm and Telkom is greater than -27 dBm with a power transmitter of 5 dBm, the value of rising Time Budget based on the feasibility of the system, the NRZ limit of 70% or 0.2916ns at the nearest ODP of 0.25 ns and the farthest ODP of 0.2558 ns which can be used because it does not exceed the NRZ limit. Cisco packet router simulation using 3 servers pt, 3 routers, 6 switches, 20 Hups, 20 access points.
“WASTEAPP” Application Based on Android for Household Waste Self-Tracking Zara Yunizar; Nanda Savira Ersa; Zalfie Ardian; Rusnani Rusnani; Fathan Maulana Helmi
International Journal of Engineering, Science and Information Technology Vol 2, No 4 (2022)
Publisher : Master Program of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v2i4.327

Abstract

Rapid population growth has both a positive and a negative impact, such as an increase in household waste generation. This also becomes a new chain of problems in other aspects, such as health, flood, air pollution, and environmental pollution. To overcome this problem, an integrated waste management system is needed. Household waste, especially inorganic waste, was valuable. The application was developed to promote a new paradigm; waste is a new source of money. As well as help run a circular economy in the waste recycling industry. The application to be built is "WasteApp", an independent household waste management application that can track and help manage it. This application is built using the Android operating system to make it a user-friendly tool. An application trial was conducted in Geulanggang Baro village, Bireuen district involving the operator, local government, and community. This location was chosen because they already have informal waste management, and it is easier to maximize by information technology intervention. The final result of this research is the “WasteApp” application based on android to manage household waste independently. The community, operator, and local government can work waste independently and systematically through this system. This application contains several menus, including the Home menu, login, register, and the main menu, namely the waste sell history and selling waste, as well as educational articles that contain how to manage waste, from sorting waste to the recycling process. Community participation was needed to increase to full implementation of good waste management.
PENINGKATAN KREATIFITAS PENGGUNAAN SOFTWARE SEBAGAI PELUANG USAHA MANDIRI PEMUDA DESA BANDA MASEN MELALUI PELATIHAN DESAIN GRAFIS Zara Yunizar; Muhammad Daud; Said Fadhlan Anshari; Zalfie Ardian; Rizki Suwanda
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 3 (2023): Rambideun: Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v6i3.2322

Abstract

One of the challenges faced by young people in rural areas is the lack of ability and creativity that can improve their standard of living in the digital era. The increasing number of university graduates and the lack of job opportunities provided by the government have the potential for a high number of unemployed people of productive age in Indonesia. This can be overcome by increasing the creative abilities of young people of productive age in creating independent business opportunities, one of which is their ability in the field of graphic design. This community service activity aimed to increase the creativity of youth in Banda Masen Village, Banda Sakti Sub-district, Lhokseumawe City in using graphic design software to develop independent business opportunities. The method used in this activity was by training and skills development approach. After identifying the needs and level of understanding of participants, graphic design training was carried out. This training focuses on introducing graphic design software, basic graphic design techniques, and applying creativity in design. The result of this community service activity was an increase in young people's skills and creativity in using graphic design software, so that they can apply these skills to open up independent business opportunities. Increased creativity and independent business opportunities provide positive economic and social impacts. Developments in the use of technology and skills at the village level can make a positive contribution to the development of society as a whole.
SOSIALISASI PENINGKATAN KUALITAS PRODUKTIVITAS PANEN UDANG MELALUI PENGONTROLAN KADAR AIR BERBASIS IOT DI DESA KUALA CEURAPE Nunsina Nunsina; Fatimah Zuhra; Zara Yunizar
RAMBIDEUN : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2024): Rambideun: Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Al Muslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/pkm.v7i1.2417

Abstract

Pond water quality is the main factor for the survival and productivity of shrimp farming. Physical parameters such as temperature, salinity and water turbidity are the main indicators of pond water quality. Poor water quality can reduce appetite, growth rate, and increase the risk of disease in shrimp. To overcome this problem, an effective monitoring and control system is needed. The method used in implementing this community service activity covering observation, design and socialization of the use of IoT-based automatic water content control devices. The results showed that the device is effective in helping fishermen controlling water levels automatically, increasing efficiency and effectiveness. The technology used includes the Arduino Uno microcontroller, ultrasonic sensor, RTC, LCD, relay module, motor driver, and DC motor. This activity is expected to provide new knowledge for fishermen in increasing shrimp productivity and quality through automatic control of pond water.
Comparison of the Results of the K-Nearest Neighbor (KNN) and Naïve Bayes Methods in the Classification of ISPA Diseases (Case Study: RSUD Fauziah Bireuen) Riska Yolanda Putri; Zara Yunizar; Safwandi Safwandi
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 1 (2024): Journal of Advanced Computer Knowledge and Algorithms - January 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i1.14535

Abstract

Acute Respiratory Infection or commonly called (ARI) is a disease caused by bacteria or viruses. (ARI) can attack all ages, especially children. This study aims to compare the accuracy of classification in (ARI) disease. The data used is data from patients affected by (ARI) disease at Fauziah Bireuen Hospital. K-Nearest Neighbors and Naïve Bayes can be used in the classification of (ARI) diseases. Measurement of accuracy using Confusion Matrix in the K-Nearest Neighbors method with the Eulidean Distance approach in the case of (ARI) disease classification obtained a percentage of precision of 91%, recall 84% and accuracy of 88%. While the Naïve Bayes method obtained a percentage of precision of 95%, recall 78% and accuracy of 86%. The results of the accuracy comparison of the two methods show that the K-Nearest Neighbors method has a higher accuracy rate than the Naïve Bayes method.
Co-Authors Bustami Bustami Dedi Torang P Maha Dhyra Gibran Alinda Ersa, Nanda Savira Eva Darnila Fajriana, Fajriana Fathan Maulana Helmi Fatimah Zuhra Muhammad Daud Nunsina Nunsina Nurdin Nurdin Riska Yolanda Putri Rizal S.Si., M.IT, Rizal Rizki Suwanda Rusnani Rusnani Safwandi Safwandi Said Fadhlan Anshari Suci Fitriani