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All Journal Elkom: Jurnal Elektronika dan Komputer Akrab Juara : Jurnal Ilmu-ilmu Sosial
Fuad Nur Hasan
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Biochemistry, Genetics & Molecular Biology Chemistry Education Medicine & Pharmacology

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PERANCANGAN SISTEM MONITORING KINERJA STAF BERBASIS WEB STUDI KASUS BSI ENTREPRENEUR CENTER Fuad Nur Hasan; Elah Nurlelah
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol 5 No 3 (2020): Agustus
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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BSI Entrerpeneur Center adalah lembaga pengembangan kewirausahaan mahasiswa di lingkungan Universitas Bina Sarana Informatika. BSI Entrepreneur Center ada disetiap kampus Universitas Bina Sarana Informatika. Staf yang bertugas menjadi koordinator BSI Entrepreneur Center wajib melaporkan kegiatan dan kinerjanya kepada pimpinan di Kampus Utama Universitas Bina Sarana Informatika. Dokumen yang harus dilaporkan meliputi pra-release kegiatan, proposal kegiatan, laporan kegiatan, press-release kegiatan, MoU, MoE dan target kinerja masing-masing staf setiap semesternya. Dengan melihat kebutuhan diatas maka penulis merancang sebuah sistem monitoring yang akan membantu proses penyampaian dari dokumen-dokumen tersebut secara digital. Perancangan sistem ini menggunakan metode waterfall, sedangkan dalam database design penulis menggunakan Entity Relationship Diagram (ERD) dan Logical Record Structure (LRS). Sistem dibangun dengan menggunakan konsep Object Oriented Programming (OOP) dan Unified Modeling Language (UML) sebagai perangkat pembantu dalam pembuatan sistem dengan database MySQLi sebagai media penyimpanan datanya. Tujuan dirancangnya sistem monitoring kinerja staf ini adalah untuk memudahkan pimpinan perguruan tinggi melakukan monitoring terhadap staf yang bertugas di BSI Entrepreneur Center.
ANALISIS SENTIMEN ARTIKEL BERITA TOKOH SEPAK BOLA DUNIA MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE DAN NAIVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION Fuad Nur Hasan; Mochamad Wahyudi
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol 3 No 4 (2018): November
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Information about the actual news that occurs every day, or what happens every minute that can now be easily obtained such as general online news sites containing various actual information, as well as news sites that have special rubrics, for example news about politics, economics, education , entertainment, sports and so on. by using sentiment analysis by classifying documents with text mining. The algorithm used in this study is Naive Bayes and Support Vector Machine based on Particle Swarm Optimization. The results obtained from testing NB, NB (PSO), SVM and SVM (PSO) data will be compared. SVM (PSO) accuracy has a higher accuracy compared to SVM, NB and NB (PSO). So it can be concluded that the best optimization application in this model is that Support Vector Machine based on Particle Swarm Optimization (PSO) can provide a solution to classification problems in the case of sentiment analysis of world football figures Lionel Messi.
PEMANFAATAN REDUDANCY ROUTER DENGAN FITUR VRRP MIKROTIK PADA JARINGAN THIN CLIENT Eka Kusuma Pratama; Fuad Nur Hasan; Kurani Mega Asteroid
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol 3 No 2 (2018): Mei
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Pertumbuhan penggunaan perangkat Jaringan Komputer, khususnya perangkat PC(Personal Computer), membuat semakin meningkatnya kebutuhan pasokan daya listrik yang dibuthkan untuk mengakomodasikan perangkat PC. Oleh sebab itu, dibutuhkan suatu cara yang dapat membuat dan membantu penggunaan sumber daya listrik PC(Personal Computer) seefisien mungkin untuk mengurangi beban energy yang dibutuhkan untuk pengoperasionalnya.dan ditambah dengan kendala pada sisi hardware jika tidak didukung dengan spesifikasi yang sesuai. Penelitian ini akan merancang dan megimplementasikan VRRP pada jaringan Thin Client yang akan menjamin kenyamanan dan kelancaran arus internet dan membuat penggunaan daya listrik seefisien mungkin. VRRP (Virtual Router Redundancy Protocol) merupakan sebuah interface (virtual) dari Router OS MikroTik yang memungkinkan kita untuk membuat beberapa router sebagai gateway dari jaringan lokal yang satu segment. Komunikasi antar router akan menggunakan sebuah Virtual Router ID dan pada interface VRRP dimasing-masing router akan dipasang sebuah single IP Address yang nantinya akan digunakan sebagai gateway dari jaringan lokal tersebut. Kata Kunci: Thin Client, VRRP, Mikrotik.
PERANCANGAN SISTEM INFORMASI AKADEMIK BERBASIS WEB PADA SMA NEGERI 3 SUKOHARJO Fuad Nur Hasan; Eka Kusuma Pratama
Jurnal Akrab Juara Vol 3 No 2 (2018)
Publisher : Yayasan Akrab Pekanbaru

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Abstract

Proses penyampaian informasi di SMAN 3 Sukoharjo masih menggunakan sistem yang manual. Dengan sistem yang seperti ini tentunya akan memperlambat proses penyampaian informasi. Kesalahan penyampaian informasi juga sering terjadi jika masih dilakukan dengan sistem manual. Untuk mempercepat penyampaian informasi dan mengurangi kesalahan penyampaian informasi maka diperlukan sebuah sistem informasi akademik berbasis web. Dengan perantara media internet tentunya proses penyampaian informasi akan lebih cepat. Metode pengembangan sistem informasi akademik yang dipakai penulis dalam merancang sistem yang baik adalah dengan menggunakan metode waterfall. Untuk perancangan database yang diusulkan berupa Entity Relationship Diagram (ERD) dan Logical Record Structure (LRS). Teknik pengumpulan data dilakukan dengan observasi, wawancara dan studi pustaka. Implementasi program menggunakan Adobe Dreamweaver CS6 dengan data base My SQL menggunakan Php My Admin. Dengan dirancangnya sistem informasi akademik berbasis web di SMAN 3 Sukoharjo diharapkan proses penyampaian informasi menjadi lebih efektif dan efisien, sehingga warga sekolah khususnya siswa dan guru dapat mengetahui informasi yang ada kapan saja dan di mana saja. Kata Kunci: Perancangan Sistem Informasi Akademik, SMAN 3 Sukoharjo, Adobe Dream weaver CS6.
RANCANG BANGUN SISTEM PENJUALAN KOMPUTER BERBASIS WEB STUDI KASUS CV. KOMPUTEC BOGOR Fuad Nur Hasan
Jurnal Akrab Juara Vol 4 No 4 (2019)
Publisher : Yayasan Akrab Pekanbaru

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The computer sales business is very profitable because now computers are no longer a luxury item but are part of the need to do work, learning and others. It can be an opportunity for CV. Komputec to expand trading reach and increase its trade online or use a website. CV. Komputec still uses a simple sales system by recording the notes and calculations using a calculator so the calculation of transactions still has weaknesses and data collection only relies on recording in the book, makes it difficult for employees to see stock, price and information. Aside from marketing products in stores, employees market their products by offering directly to agencies such as schools and offices. In this writing, an e-commerce computer sale is made to make it easier for buyers so that they do not have to bother to come to the place and employees do not need to market their products directly to agencies so they can save time and money. The research method used is the development of waterfall model software, observations, interviews and literature studies. The results of this study are the establishment of online computer buying and selling websites which can handle sales and ordering online and are able to manage buyer data.
Seleksi Fitur Klasifikasi Penyakit Diabetes Menggunakan Particle Swarm Optimization (PSO) Pada Algoritma Naive Bayes Nurlaelatul Maulidah; Ari Abdilah; Elah Nurlelah; Windu Gata; Fuad Nur Hasan
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

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Diabetes is a serious chronic disease that occurs because the pancreas does not produce enough insulin (a hormone that regulates blood sugar or glucose), or when the body cannot effectively use the insulin it produces. WHO data shows that the incidence of non-communicable diseases in 2004 reached 48 , 30% is slightly higher than the incidence rate of infectious diseases, namely 47.50% [1]. According to the Ministry of Health in 2012 diabetes caused 1.5 million deaths. Some Indonesian people, this disease is better known as diabetes or blood sugar. This research was developed through secondary data processing from the Pima Indians Diabetes Dataset health database which was taken from the Kaggle dataset and can be accessed through https://www.kaggle.com/uciml/pima-indians-diabetes-database. Where the data itself consists of 768 records with several medical predictor variables (Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age and Outcome). Then the data will be processed using the Particle Swarm Optimization (PSO) feature selection to increase the accuracy value and the Naive Bayes algorithm to determine the accuracy results of the diagnosis of diabetes. From the results of research that has been done for the accuracy of the classification algorithm Naive Bayes is 74.61%, while the accuracy of the classification algorithm with Particle Swarm Optimization is 77.34% with an accuracy difference of 2.73%. So it can be concluded that the application of the Particle Swarm Optimization technique is able to select attributes in the Naive Bayes Algorithm, and can produce a better level of diabetes diagnosis accuracy than using only the individual method, namely the Naive Bayes algorithm. Keywords: Diabetes, Particle Swarm Optimization, Naive Bayes Algorithm
Seleksi Fitur Klasifikasi Penyakit Diabetes Menggunakan Particle Swarm Optimization (PSO) Pada Algoritma Naive Bayes Nurlaelatul Maulidah; Ari Abdilah; Elah Nurlelah; Windu Gata; Fuad Nur Hasan
Elkom : Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

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

Abstract

Diabetes is a serious chronic disease that occurs because the pancreas does not produce enough insulin (a hormone that regulates blood sugar or glucose), or when the body cannot effectively use the insulin it produces. WHO data shows that the incidence of non-communicable diseases in 2004 reached 48 , 30% is slightly higher than the incidence rate of infectious diseases, namely 47.50% [1]. According to the Ministry of Health in 2012 diabetes caused 1.5 million deaths. Some Indonesian people, this disease is better known as diabetes or blood sugar. This research was developed through secondary data processing from the Pima Indians Diabetes Dataset health database which was taken from the Kaggle dataset and can be accessed through https://www.kaggle.com/uciml/pima-indians-diabetes-database. Where the data itself consists of 768 records with several medical predictor variables (Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age and Outcome). Then the data will be processed using the Particle Swarm Optimization (PSO) feature selection to increase the accuracy value and the Naive Bayes algorithm to determine the accuracy results of the diagnosis of diabetes. From the results of research that has been done for the accuracy of the classification algorithm Naive Bayes is 74.61%, while the accuracy of the classification algorithm with Particle Swarm Optimization is 77.34% with an accuracy difference of 2.73%. So it can be concluded that the application of the Particle Swarm Optimization technique is able to select attributes in the Naive Bayes Algorithm, and can produce a better level of diabetes diagnosis accuracy than using only the individual method, namely the Naive Bayes algorithm. Keywords: Diabetes, Particle Swarm Optimization, Naive Bayes Algorithm
DESIGN AND BUILD A WEB-BASED INVENTORY APPLICATION USING THE WATERFALL METHOD ON CV PERDANA BERKAH SEJAHTERA BANDUNG Yusuf Bachtiar; Fuad Nur Hasan
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 10 No. 1 (2025): Februari
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Web-based inventory applications have become an important role in managing inventory in various companies. The purpose of this research is to design a website-based inventory application that aims to assist companies in managing and monitoring inventory efficiently. This application will utilize website and database technology to provide the features needed by companies in their inventory management. CV Perdana Berkah Sejahtera is a company engaged in general trading in the Bandung area. This company is more likely to be engaged in sales such as Office Stationery, Computers, Laptops, Chemicals, Computer Accessories and others. As for the stock management system, it still uses manual recording through paper media which is carried out by employees, data is easily damaged and lost, and errors often occur in recording inventory. The research method used is the waterfall model software development method, observation, interviews, literature study. The result of this research is the formation of a website-based application that can provide effective and efficient solutions in stock management.
PERANCANGAN SISTEM INFORMASI AKADEMIK BERBASIS WEB PADA SMA NEGERI 3 SUKOHARJO Fuad Nur Hasan; Eka Kusuma Pratama
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 9 No. 2 (2024): Mei
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Abstract

Proses penyampaian informasi di SMAN 3 Sukoharjo masih menggunakan sistem yang manual. Dengan sistem yang seperti ini tentunya akan memperlambat proses penyampaian informasi. Kesalahan penyampaian informasi juga sering terjadi jika masih dilakukan dengan sistem manual. Untuk mempercepat penyampaian informasi dan mengurangi kesalahan penyampaian informasi maka diperlukan sebuah sistem informasi akademik berbasis web. Dengan perantara media internet tentunya proses penyampaian informasi akan lebih cepat. Metode pengembangan sistem informasi akademik yang dipakai penulis dalam merancang sistem yang baik adalah dengan menggunakan metode waterfall. Untuk perancangan database yang diusulkan berupa Entity Relationship Diagram (ERD) dan Logical Record Structure (LRS). Teknik pengumpulan data dilakukan dengan observasi, wawancara dan studi pustaka. Implementasi program menggunakan Adobe Dreamweaver CS6 dengan data base My SQL menggunakan Php My Admin. Dengan dirancangnya sistem informasi akademik berbasis web di SMAN 3 Sukoharjo diharapkan proses penyampaian informasi menjadi lebih efektif dan efisien, sehingga warga sekolah khususnya siswa dan guru dapat mengetahui informasi yang ada kapan saja dan di mana saja.
Co-Authors Ari Abdilah Eka Kusuma Pratama Elah Nurlelah Gata, Windu Kurani Mega Asteroid Mochamad Wahyudi Nurlaelatul Maulidah Yusuf Bachtiar