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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Teknologi Terapan and Sains 4.0 Jurnal Bangun Abdimas Journal of Advanced Computer Knowledge and Algorithms
Yunizar, Zara
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Arts Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Public Health Other

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Hafalan Qur’an Waktu Nyata Menggunakan Perangkat Lunak Pada Kegiatan Pengajian Anak Nurdin, Nurdin; Fadlisyah, Fadlisyah; Bustami, Bustami; Fasdarsyah, Fasdarsyah; Yunizar, Zara
Jurnal Bangun Abdimas Vol 2 No 2: November 2023
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/ba.v2i2.308

Abstract

Peningkatan minat masyarakat terhadap hafalan Qur’an, telah memunculkan ide-ide baru terutama dalam membantu masyarakat meningkatkan hafalannya dalam waktu yang singkat. Salah satu pendekatan alternatif tersebut adalah pemanfaatan teknologi yang tepat dan akurat dalam mengevaluasi setiap hafalan dari peserta hafalan Qur’an. Konsep sistem yang dibagun hanya berperan sebagai pengujian hafalan awal, sebelum para peserta menampilkan hafalannya di hadapan para guru. Sistem dibangun dengan seramah mungkin agar masyarakat awam mampu dan mudah menggunakannya, Setelah dilakukan pengujian sistem terhadap para peserta hafalan, diperoleh adanya peningkatan minat dan percepatan masyarakat peserta penghafal Qur’an dalam menyelsaikan hafalannya. Hasil evaluasi menunjukkan bahwa rata-rata 50% dari total peserta berhasil menyelesaikan hafalan dan dianggap layak oleh sistem setelah pengujian pertama, dan 50% sisa peserta berhasil menyelesaikan hafalannya dan telah dianggap layak oleh sistem setelah pengujian kedua.
Internet of things-based electrical energy control and monitoring in households using spreadsheet datalogger Jannah, Misbahul; Hasibuan, Arnawan; Kartika, Kartika; Asran, Asran; Yunizar, Zara; Usrina, Nura; Nuryawan, Nuryawan; Almunadiansyah, Rizky
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i4.pp3931-3941

Abstract

Today, the demand for electrical energy is paramount in various daily activities. Hence, individuals must be aware of the amount of electrical energy consumed to maintain the quality of electronic devices. Knowing the quality of electronic devices is essential since it can impact the performance and lifespan of electrical equipment. The value of electrical power is determined by the quality of electrical power and the number of hours. Monitoring electrical energy involves collecting or measuring data to assess the current level of energy consumption. The author is interested in researching the use of Datalogger Spreadsheets to monitor and gather real-time information on energy use, which is made possible through integration with internet of things (IoT) and microcontrollers. Through data analysis and observation, solutions to existing problems are sought by comparing and matching data. Monitoring daily energy usage in a home setting produces output data that can be viewed directly and remotely with real-time results. This tool is expected to address current issues.
PERANCANGAN DESAIN JARINGAN FIBER OPTIK DENGAN TEKNOLOGI GIGABIT PASSIVE OPTICAL NETWORK DI UNIVERSITAS MALIKUSSALEH Tjut Adek, Rizal; Yunizar, Zara; Maha, Dedi Torang P; Fajriana, Fajriana
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 2 (2022): September 2022
Publisher : STMIK Palangkaraya

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.
SISTEM MONITORING REVASS (REVANUE ASSURANCE) PELANGGAN PASANG BARU DI PT. PLN ULP KRUENG GEUKUH LHOKSEUMAWE BERBASIS WEB Yunizar, Zara
Jurnal Teknologi Terapan and Sains 4.0 Vol 4, No 1 (2023): Jurnal Teknologi Terapan & Sains
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/tts.v4i1.11279

Abstract

Data pelanggan merupakan suatu data dan informasi yang ada pada setiap orang yang menjadi pelanggan di suatu perusahaan. Sistem monitoring data pelanggan pada PT. PLN (Persero) ULP Krueng Geukuh adalah sebuah sistem yang dirancang untuk membantu karyawan PLN dalam mengawasi dan memantau proses suatu pekerjaan yang berhubungan dengan pemasangan baru yang ada pada PT. PLN. Sistem monitoring mampu mengolah data menjadi informasi sehingga para pengguna dapat mengambil keputusan secara tepat, sistem ini juga dapat memberikan informasi apabila ada suatu data pelanggan yang belum diproses. Saat ini, sistem monitoring revass pelanggan pasang baru di PT PLN (Persero) ULP Krueng geukueh masih belum ada, monitoring revass pelanggan pasang baru masih dilakukan secara manual melalui buku tertulis, oleh karna itu penulis mencoba membuat sebuah sistem monitoring revass pelanggan pasang baru yang mampu mengolah data menjadi informasi sehingga pegawai PT. PLN dapat mengambil keputusan secara tepat dan efisien terhadap pelanggan pasang baru. Pengembangan sistem dilakukan dengan menggunakan pemodelan Unified Modelling Laguage (UML), serta bahasa pemrograman PHP dan MySQL sebagai basis datanya. Sistem monitoring revass pelanggan pasang baru ini dapat digunakan oleh admin dan karyawan PT PLN (Persero) ULP krueng geukueh. Kata Kunci: Sistem Monitoring, Data Pelanggan, PLN, Revass, UML
Implementasi HPack dan Gzip pada Optimasi Aplikasi Dengan Arsitektur Microservice Tjut Adek, Rizal; Mulaesyi, Syibbran; Yunizar, Zara; M. Fauzan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 2: April 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20241128287

Abstract

Penelitian ini mengkaji penerapan arsitektur microservice dalam pengembangan aplikasi web, dengan fokus pada optimasi komunikasi antar layanan melalui kompresi data. Dengan latar belakang permasalahan bottleneck dalam transfer data antar layanan, tujuan utama penelitian ini adalah mengatasi tantangan tersebut dengan memanfaatkan teknologi kompresi HPack dan Gzip, terutama dalam konteks penggunaan format data JSON yang umum dalam komunikasi antar layanan. Penelitian dilakukan melalui tahapan analisis kebutuhan, desain sistem, implementasi, deployment dan pengujian. Data uji yang merupakan respons dari microservice yang berupa 34 item JSON Array yang dikompresi menggunakan Hpack, Gzip dan gabungan keduanya. Proses pengukuran waktu dan ukuran respons untuk setiap jenis kompresi dilakukan menggunakan Chrome DevTools, dengan analisis data yang dilakukan menggunakan alat bantu pandas. Hasil pengujian menunjukkan penurunan sebanyak ~79,4% dari 12991 bytes dalam ukuran respons dan penurunan waktu respons sebanyak ~8,7% dari 641,401 ms. Hal ini menegaskan efektivitas HPack dan Gzip dalam meningkatkan performa aplikasi microservice. Penelitian ini memberikan wawasan dalam optimasi aplikasi microservice dan rekomendasi praktik terbaik dalam pemilihan metode kompresi data.   Abstract This study examines the implementation of microservice architecture in web application development, with a focus on optimizing communication between services through data compression. Given the background issue of bottleneck in data transfer between services, the primary objective of this research is to address this challenge by leveraging HPack and Gzip compression technologies, especially in the context of using the common JSON data format for inter-service communication. The research was conducted through stages of requirements analysis, system design, implementation, deployment, and testing. Test data consists of responses from microservices in the form of a 34-item JSON Array compressed using HPack, Gzip, and a combination of both. The process of measuring response time and size for each compression type was carried out using Chrome DevTools, with data analysis performed using pandas tools. The test results show a reduction of approximately 79.4% from 12991 bytes in response size and a decrease in response time by about 8.7% from 641.401 ms. This confirms the effectiveness of HPack and Gzip in enhancing microservice application performance. The study provides insights into microservice application optimization and recommendations for best practices in selecting data compression methods.
Web-Based Expert System Application for Early Diagnosis of HIV/AIDS Using the Naive Bayes Method Aisah, Sri Purwani; Adek, Rizal Tjut; Yunizar, Zara
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 4 (2024): Journal of Advanced Computer Knowledge and Algorithms - October 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i4.17809

Abstract

AIDS is a progressive decrease in the immune system so that opportunistic infections can appear and end in death, therefore the author created an early diagnosis system for HIV/AIDS using the website-based Naïve Bayes algorithm. Naïve Bayes is a simple probability classification that can calculate all possibilities by combining a number of combinations and frequencies of a value from the database obtained.the results of the research obtainedThe naïve Bayes algorithm can be implemented for early diagnosis of HIV/AIDS by means that the existing HIV/AIDS symptom data is adjusted to the patient's symptom data processed using the naïve Bayes algorithm and then it is concluded what the symptoms are and What is the solution.
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) Putri, Riska Yolanda; Yunizar, Zara; 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.
Comparison of Chen's Fuzzy Time Series and Triple Exponential Smoothing in Forecasting Medicine Stocks at the Blang Cut Kuala Community Health Center Devi, Salma; Yunizar, Zara; Retno, Sujacka
Journal of Advanced Computer Knowledge and Algorithms Vol 1, No 3 (2024): Journal of Advanced Computer Knowledge and Algorithms - July 2024
Publisher : Department of Informatics, Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jacka.v1i3.16870

Abstract

Forecasting is estimating future conditions by examining conditions in the past. In social life, everything is uncertain and difficult to predict precisely, so forecasting is needed. Efforts are always made to make forecasts in order to minimize the influence of this uncertainty on a problem. In other words, forecasting aims to obtain forecasts that can minimize forecast errors, which are usually measured by the mean absolute percentage error. This method is usually used for time series-based forecasting and uses data or information from the past as a reference when predicting current data. This research will compare the application of the Fuzzy Time Series Chen method and the Triple Exponential Smoothing method in forecasting drug stock determination at the Kuala Community Health Center, Blang Mangat District, Lhokseumawe City Regency, Aceh. The research results showed that the Triple Exponential Smoothing method was better in forecasting drug stock inventories compared to Chen's Fuzzy Time Series method. Chen's Fuzzy Time Series method produces a MAPE value of 17.67%, which means it has an accuracy of 82.33%, while the Triple Exponential Smoothing method produces a MAPE value of 9.842%, which means it has an accuracy of 90.158%
Co-Authors Adek, Rizal Tjut Aisah, Sri Purwani Almunadiansyah, Rizky Arnawan Hasibuan Asran, Asran Bustami Bustami Devi, Salma Fadlisyah Fadlisyah Fajriana, Fajriana Fasdarsyah Fasdarsyah, Fasdarsyah Kartika Kartika M. Fauzan Maha, Dedi Torang P Misbahul Jannah Mulaesyi, Syibbran Nurdin Nurdin Nuryawan, Nuryawan Putri, Riska Yolanda Safwandi Safwandi, Safwandi Sujacka Retno Tjut Adek, Rizal Usrina, Nura