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Testing C4.5 Algorithm Using Rapid Miner Applications In Determining Customer Satisfaction Levels Fithrie Soufitri; Ellanda Purwawijaya; Eka Hayana Hasibuan; Roy Nuary Singarimbun
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (308.415 KB)

Data mining is a series of processes to extract added value in the form of information that has not been known manually from a database. The resulting information is obtained by extracting and recognizing important or interesting patterns from the data contained in the database. One part of the service of an agency is the service to customers, customers or those related to certain services. The quality of service is assessed by what has been done and how to treat from those who serve, some provisions used to ensure service optimization are Confiden, Integrity, Pride and Passion with the main purpose or output is Customer Satisfaction. The process of Forming a Pattern of Satisfaction Level by Utilizing the C4.5 Algorithm Penelitain process is carried out by data collection, testing with applications, exposure of pattern results or Knowledge. Pola yang terbentuk after the extraction is 1.Integrity = low: quite satisfied {very satisfied=0, quite satisfied=3}Integrity = tall, Passion = low: quite satisfied {very satisfied =0, quite satisfied =2}, Passion = tall: very satisfied {very satisfied =11, quite satisfied =0}.

Application Of The Expert System Of Certainty Factor Methods In Diagnosing Thyroid Disease Ellanda Purwawijaya; Fithrie Soufitri; Fahmi Ruziq; Dinur Syahputra
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (776.597 KB)

Thyroid gland disease or what is called hyperthyroidism is a disease that is often found in the community. The body's need for thyroid hormone is needed to control body growth and process food metabolism into energy. An overactive thyroid gland produces thyroid hormone which causes high levels of thyroid hormone in the blood. This condition is known as hyperthyroidism. In the medical world, to be able to diagnose hyperthyroidism is difficult, because the symptoms of hyperthyroidism vary greatly, depending on the rise and fall of thyroid hormones. From the above problems, a technology utilization is needed to reduce each problem and implement it into an expert system. An expert system is a branch of artificial intelligence that uses special knowledge/knowledge to solve problems at the human expert/expert level. Expert systems have been developed in various sciences, one of which is in the field of medicine to diagnose diseases. The expert system used to determine the diagnosis of the disease will help confirm the diagnosis and provide advice and therapy in the treatment of the disease. The test results "Expert System Diagnosing Hyperthyroid Disease Using the Certainty Factor Method" show that this expert system can diagnose hyperthyroidism according to the answers given by the user with an accuracy value of 100%.

Pelatihan Aplikasi Pembuatan Ujian Online Berbasis Android untuk Guru Sekolah Menengah Pertama Rahmad Syuhada; Ellanda Purwawijaya; Fahmi Ruziq
Jurnal Abdidas Vol. 2 No. 3 (2021): Pages 459-724
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdidas.v2i3.298

Pada setiap sekolah, ujian semester merupakan sebuah kegiatan yang wajib dilewati untuk seluruh siswa. Seiring berkembangnya teknologi serta dimasa tatanan kehidupan normal baru membuat setiap sekolah wajib untuk menjalankan kebijakan Pembelajaran Jarak Jauh (PJJ), dengan adanya perangkat Smartphone Android yang siswa miliki serta bantuan paket pembelajaran dari Kementerian Pendidikan dan Kebudayaan, dapat dimanfaatkan untuk kegiatan belajar mengajar dan ujian online. Dalam kegiatan ini, metode yang dilakukan dalam bentuk lokakarya dengan pengajaran langsung melalui aplikasi progam Microsoft Office 365, dalam memudahkan para guru melakukan proses ujian online pada semester pertama masa new normal. Dari hasil pelaksanaan kegiatan ini, muncul minat para guru-guru SMP Negeri 27 Medan untuk menerapkan ujian online berbasis Android di lingkungan sekolah, terlihat dari perwakilan Musyawarah Guru Mata Pelajaran (MGMP) yang sangat antusias dalam mempelajari fitur-fitur yang tersedia, dan pengaturan pengelolaan soal ujian.

PENERAPAN SISTEM PENDUKUNG KEPUTUSAN DENGAN METODE AHP UNTUK PENILAIAN KARYAWAN TERBAIK Ellanda Purwawijaya
Jurnal Teknovasi : Jurnal Teknik dan Inovasi Vol 7, No 3 (2020): TEKNOVASI DESEMBER 2020
Publisher : LPPM Politeknik LP3I Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55445/teknovasi.v7i3.494

Employees are one of the most important assets owned by a company in its business maintain survival, develop, the ability to compete and earn a profit. Competition in the increasingly competitive business world has spurred companies to strive harder improve the quality of the company. One of the efforts is to improve the quality of resources humans because the quality of good human resources can increase productivity and achievement a company. In order for the quality of employees to be maintained and improved, the company needs to do something employee performance appraisal in the form of determining the best employee. There are several criteria that will be applied several companies in assessing the best employees, but the criteria still vary. This study will discuss the assessment of the best employees by applying seven criteria. seventh These criteria are quality of work, quantity of work, speed of work, mastery of the field, discipline, Initiative, and loyalty. Data analysis using AHP (Analytical Hierarchy process) method. allows mathematical calculations with various criteria. The application will be designed based on website and data to be stored using the mysql database.

COMPUTER LAB NETWORK DESIGN USING MICROTIK ON SMK DHARMA PANCASILA Dinur Syahputra; Ellanda Purwawijaya; Fithrie Soufitri; Lina Lina
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (560.062 KB)

This research uses Mikrotik to design a computer lab at SMK Dharma Pancasila. After implementing the network built at SMK Dharma Pancasila, Sungai Kanan District, it will be obtained a knowledge that; Networks built with Mikrotik provide cost efficiency because the client does not require high-specification hardware and also does not require certain software. Then the distribution of the network used on the proxy is very useful so that the client's performance can be maximized. And with the network, network administration can be done more easily because it is centralized in Mikrotik.

Analisis Kualitas Rancangan Point of Sale Menerapkan Metode Mean Squared Error Fithrie Soufitri; Ellanda Purwawijaya
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4767

The development of the business prompted the company to always strive to improve the quality of products and services to consumers. The service can purchase goods was done electronically and can also be done online or electronic commerce. Implementation of business solutions is a commitment to improve its corporate customers a competitive advantage in terms of efficiency, effectiveness, performance, and business development. The research purpose is to analyze the quality of point of sale (POS) designs to support a purchasing service system that can help Nasi Kapau Unidar restaurants. This creation begins with data collection using the mean squared error (MSE) method with a flowchart approach and Unified Modeling Language (UML) with the result of the accuracy with mean squared error of 0.44.

Implementasi Face Recognition Pada Absensi Karyawan Menggunakan Local Binary Pattern Histogram dan SHA 256 bit Ellanda Purwawijaya; Roy Nuary Singarimbun; Hendra Pasaribu
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4923

Attendance is an activity that states the presence or absence of an employee. One of the technology models used to express the presence of an employee is a fingerprint machine. PT Global Andalas Cargotama has implemented an employee attendance system using a fingerprint. However, in the process of implementation, the fingerprint machine has weaknesses that are vulnerable to manipulation, fingerprint identification which is often hampered due to the need for routine machine maintenance and attendance recapitulation which is still done manually and not in real time. The face recognition system is an application to recognize faces in real time and accurately and can be applied to overcome the weaknesses of the fingerprint machine. This study uses the LBPH (Local Binary Pattern Histogram) method in recognizing employees' faces when doing attendance, this is based on several studies that have been done previously, this method has a high level of accuracy in recognizing faces. Meanwhile, SHA256 bit cryptography is used to solve the problem of attendance manipulation. The results of facial recognition both when attendance comes in and attendance goes home will be stored on the server computer locally to state employee attendance. The test results from this study showed that the attendance application was able to recognize the employee's face accurately with an average accuracy rate of 0.9511 by paying attention to the room lighting parameters, accessories on the face and the distance from the camera to the face. Through this research, it is expected to be able to overcome the problem of the weakness of the fingerprint machine and the attendance process at PT Global Andalas Cargotama to be more effective.

Pengukuran Kualitas Layanan Perpustakaan dengan Metode Service Quality dan Deepface Menggunakan Ekspresi Wajah Purwawijaya, Ellanda; Singarimbun, Roy Nuary
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 6 No. 1 (2024): September 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i1.8460

Abstrak? Kualitas layanan merupakan salah satu bagian terpenting dalam pemasaran baik itu barang maupun jasa. Kualitas layanan yang baik tentunya akan memberikan persepsi positif bagi masyarakat, namun sebaliknya jika layanan yang buruk maka akan memberikan persepsi negatif. Layanan yang baik akan memberikan kepuasan bagi pelanggan/pengunjung. Kepuasan layanan produk/jasa merupakan faktor-faktor yang memberikan pengaruh pada sebuah perusahaan. Pengukuran kualitas layanan perpustakaan di Universitas Battuta masih menggunakan kuesioner dengan media kertas. Pada pelaksanaannya, kuesioner ini sering kali diabaikan oleh pengunjung karena pengisian dan waktu pemrosesan yang membutuhkan waktu yang cukup lama serta Universitas Battuta belum memiliki sistem atau perangkat lunak pengukuran kualitas layanan. Sehingga Universitas Battuta mengalami kesulitan dalam memperoleh informasi maupun feedback dari pengunjung terhadap layanan yang telah berjalan selama ini. Penelitian berfokus pada pengembangan dan perancangan sebuah sistem yang mampu mengukur kualitas layanan perpustakaan menggunakan ekspresi wajah pengunjung. Penelitian ini menggunakan metode service quality, dimana pengukuran dilakukan dengan membandingkan antara harapan pengunjung dengan layanan yang diterima oleh pengunjung. Sedangkan metode Deepface digunakan sebagai deteksi ekspresi wajah pengunjung yang mampu mengenali dan menganalisa ekspresi emosional wajah pengunjung ketika memberikan penilaian kunjungan perpustakaan, apakah sangat puas, puas, tidak puas dan sangat tidak puas. Hasil pengujian dari penelitian ini menggunakan 510 sampel wajah menunjukkan hasil akurasi yang sangat baik dengan jarak wajah ke webcam sebesar kurang dari 50 cm. Hasil deteksi ekspresi wajah pengujung menunjukkan hasil yang cukup akurat dalam mengenali ekspresi wajah pengunjung.

Pengukuran Kualitas Layanan Perpustakaan dengan Metode Service Quality dan Deepface Menggunakan Ekspresi Wajah Purwawijaya, Ellanda; Singarimbun, Roy Nuary
Jurnal Sistem Komputer dan Informatika (JSON) Vol 6, No 1 (2024): September 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i1.8460

Abstrak? Kualitas layanan merupakan salah satu bagian terpenting dalam pemasaran baik itu barang maupun jasa. Kualitas layanan yang baik tentunya akan memberikan persepsi positif bagi masyarakat, namun sebaliknya jika layanan yang buruk maka akan memberikan persepsi negatif. Layanan yang baik akan memberikan kepuasan bagi pelanggan/pengunjung. Kepuasan layanan produk/jasa merupakan faktor-faktor yang memberikan pengaruh pada sebuah perusahaan. Pengukuran kualitas layanan perpustakaan di Universitas Battuta masih menggunakan kuesioner dengan media kertas. Pada pelaksanaannya, kuesioner ini sering kali diabaikan oleh pengunjung karena pengisian dan waktu pemrosesan yang membutuhkan waktu yang cukup lama serta Universitas Battuta belum memiliki sistem atau perangkat lunak pengukuran kualitas layanan. Sehingga Universitas Battuta mengalami kesulitan dalam memperoleh informasi maupun feedback dari pengunjung terhadap layanan yang telah berjalan selama ini. Penelitian berfokus pada pengembangan dan perancangan sebuah sistem yang mampu mengukur kualitas layanan perpustakaan menggunakan ekspresi wajah pengunjung. Penelitian ini menggunakan metode service quality, dimana pengukuran dilakukan dengan membandingkan antara harapan pengunjung dengan layanan yang diterima oleh pengunjung. Sedangkan metode Deepface digunakan sebagai deteksi ekspresi wajah pengunjung yang mampu mengenali dan menganalisa ekspresi emosional wajah pengunjung ketika memberikan penilaian kunjungan perpustakaan, apakah sangat puas, puas, tidak puas dan sangat tidak puas. Hasil pengujian dari penelitian ini menggunakan 510 sampel wajah menunjukkan hasil akurasi yang sangat baik dengan jarak wajah ke webcam sebesar kurang dari 50 cm. Hasil deteksi ekspresi wajah pengujung menunjukkan hasil yang cukup akurat dalam mengenali ekspresi wajah pengunjung.

The Significant Rise In Cybercrime Can Be Attributed To Vulnerabilities In Cybersecurity Purwawijaya, Ellanda; Syahputra, Dinur; Rambe, Aripin; Nababan, Junerdi
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13490

In today's world, our dependence on computers extends to even the most basic daily tasks. As users, we consistently engage with computers for activities such as communication, data sharing, information retrieval, social interactions, and more, all conducted over networks. It is evident that the network connecting various devices globally, including servers, computers, laptops, mobile phones, etc., serves as the fundamental technology facilitating these tasks. However, this interconnected system poses a significant threat in the form of cybercrime. Despite the implementation of cybersecurity measures throughout the network, there exist flaws and obstacles that compromise security, leading to the occurrence of these crimes. One can envision the relationship between cybercrime and cybersecurity as a ratio, with cybercrime holding the higher value. This variable is steadily increasing at a greater rate than cybersecurity, indicating a growing imbalance between the two.

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