Article Per Year (5 Year)
p-Index From 2019 - 2024
2.636
P-Index
This Author published in this journals
All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURIKOM (Jurnal Riset Komputer) TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) Prosiding Snastikom Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Digital Transformation Technology (Digitech) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Ilmu Komputer dan Sistem Informasi (JIRSI)
Mufida Khairani
universitas harapan medan
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 17 Documents
Search

 1   2 
Sosialisasi Penggunaan Akun Google Sebagai Media Pembelajaran Digital Bagi Guru SD Negeri 060856 Medan Mufida Khairani; Divi Handoko; Boni Oktaviana Sembiring; Arie Rafika Dewi; Yulia Agustina Dalimunthe
Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Vol 3 No 1 (2023)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/literasi.v3i1.968

Abstract

The development of technology today has been widely used by humans. Not only in industry and companies, but has penetrated the world of education, where the use of computer devices and applications is used by teachers and students. In the use of an online-based computer, a google account is needed that can be used to access email and other google media applications such as google classroom, google meet, google drive, google doc, google slides, google calendar, google form and so on. This training was conducted at SD Negeri 060856 Medan by utilizing a Google account as a digital-based learning medium. This training aims to increase teachers' knowledge and insight in making interesting learning and increase the effectiveness of digitalization-based learning. As a result of this activity, teachers can understand the use of media tools such as gmail, google classroom and google meet.
Sistem Pendukung Keputusan Metode Waspas Dan Topsis Dalam Menentukan Dosen Terbaik Berdasarkan Variabel Bidang Keahlian Mufida Khairani; Yunita Sari Siregar; Divi Handoko; Nenna Irsa Syahputri; Herlina Harahap
Digital Transformation Technology Vol. 3 No. 1 (2023): Artikel Periode Maret Tahun 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i1.2761

Abstract

Universitas Harapan Medan adalah satu perguruan tinggi swasta di kota Medan yang mempunyai beberapa fakultas diantaranya Fakultas Ekonomi Bisnis (FEB), Fakultas Teknik dan Komputer (FTK), Fakultas Bahasa dan Komunikasi (FBK), dam Fakultas Hukum. Terdapat beberapa program studi yang berada di bawah naungan Fakultas Teknik dan Komputer, yaitu meliputi : Teknik Industri, Teknik Mesin, Teknik Sipil, Teknik Elektro, Teknik Informatika dan Sistem Informasi.Program Studi Teknik Informatika memiliki jumlah dosen aktif sebanyak 38 orang. Dimana bidang peminatannya adalah jaringan, multimedia dan robotika. Dosen merupakan tenaga pendidik professional yang memberi pengajaran dan mengembangkan ilmu di perguruan tinggi. Sebagai bentuk apresiasi Perguruan Tinggi terhadap dosen dalam kinerja tridarma, maka akan dilakukan pemilihan dosen terbaik untuk meningkatkan kualitas kinerja dengan menggunakan metode sistem pendukung keputusan. Ada 2 metode analisa yang digunakan dalam penelitian ini yaitu metode WASPAS (Weighted Aggregated Sum Product Assesment) dan TOPSIS (Technique For Order Preference by Similarity to Ideal Solution). Tujuan dalam penelitian ini adalah Menganalisis metode sistem pendukung keputusan WASPAS dan TOPSIS dalam menentukan dosen terbaik berdasarkan variabel bidang keahlian di Prodi Teknik Informatika dengan kriteria yang telah ditentukan dan Mengetahui tingkat akurasi dalam pengambilan keputusan dengan sistem pendukung keputusan WASPAS dan TOPSIS dalam menentukan dosen terbaik berdasarkan kriteria yang telah ditentukan.
Sistem Pendukung Keputusan Untuk Menentukan Stok Kue Menggunakan Forward Chaining Di Toko Cookies YARR Nurul Fajrina; Mufida Khairani; Yessi Fitri Annisah Lubis
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.528 KB)

Abstract

Advances in information and communication technology make it easier for humans to manage data and information, so there is no need to waste a lot of time, effort and money. Technology is useful in various fields, one of which is in the field of small business economics, namely sales stock. In order to make it easier for the owner to make incoming and outgoing stock reports, it is necessary to implement computerized sales data in one web application, which includes information on incoming and outgoing stock of cookies that are still available at the YARR Cookies shop. Stages in Decision Support System research using the Forward Chaining method which will collect facts and end with conclusions. And the end result of this web application can be run properly and is also useful for the owner of the YARR cookie shop.
Media Pembelajaran Silsilah Marga Adat Batak Toba Berbasis Animasi Menggunakan Adobe Flash Rini Rahmadani Sinambela; Herlina Harahap; Mufida Khairani
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 2 No. 2 (2023): Mei 2023
Publisher : LKP Unity Academy

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

Abstract

Genealogy or commonly called Tarombo by Batak people is a lineage that has become customary for people to know genealogy or kinship relationships. . However, this custom has begun to disappear from the Batak people because of the hard-to-find family data, the expanding genealogy, and the few people who know the genealogy. The lineage is called Tarombo. These things make Tarombo lose its appeal and become the background of this research. The purpose of this study is to build an application system that will become a medium for users, especially the Toba Batak ethnicity, to be able to have, create or continue family genealogies and make it easier for us to find genealogies or Tarombo clans and families. This application is designed using Adobe Flash CS6 which has a pretty good performance. The system development method used in system development is the literature study method, which collects supporting data related to research such as from social media, websites or other sources. Based on the test results, the genealogy application is running successfully on the Windows 10 operating system. This study resulted in an application with the main function as a medium that requires information about the genealogy of the Batak clan, especially the Sinambela clan and provides the desired convenience and speed.
Rancang Bangun Game 3D Edukasi Basic Web Development Menggunakan Unity 3D Rendy Irawan; Yunita Sari Siregar; Mufida Khairani
Jurnal Komputer Teknologi Informasi dan Sistem Informasi (JUKTISI) Vol. 2 No. 3 (2024): Februari 2024
Publisher : LKP KARYA PRIMA KURSUS

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

Abstract

The development of games is a media that is favored by the public which can have good or bad effects, where a game is basically made as for entertainment but there are also those who use games as educational media. This research was conducted to create a basic web development educational game packaged in the form of RPG (Role Playing Games) games with the result that providing basic web development education that can be played by all audience, where learning about web development is currently quite popular with some people. The game system design process is made using UML diagrams which will be applied to the unity 3D application and the assessment obtained through a questionnaire of 82% of respondents agreed that this game can be provide basic web development education. This game is also implemented using a finite state machine algorithm that controls enemy behavior in each state and collision detection for interaction with other objects. In this process create several interface designs and also for the finite state machine algorithm implemented to the enemy animator to control the state of enemy behavior, and the collision detection algorithm is applied to areas that have a collider to display the interface and also play background music.
Implementasi Data Mining Klasifikasi Algoritma Chaid Dalam Menentukan Pola Penerima Mahasiswa Baru Yunita Sari Siregar; Divi Handoko; Mufida Khairani; Nenna Irsa Syahputri; Herlina Harahap
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.3612

Abstract

Universitas Harapan Medan adalah salah satu Perguruan Tinggi di Sumatera Utara yang memiliki beberapa fakultas, salah satu diantaranya yaitu Fakultas Teknik dan Komputer. Dimana pada fakultas tersebut terdapat 7 program studi yaitu Teknik Elektro, Teknik Sipil, Teknik Mesin, Teknik Informatika Teknik Industri, Sistem Informasi dan Manajemen Informatika. Program studi Teknik Infrmatika merupakan program studi dengan akreditasi B dengan jumlah mahasiswa aktif sampai tahun 2022 yaitu 1.366 orang. Berdasarkan data tersebut dapat dilihat bahwa program studi informatika memiliki jumlah peminat yang sangat banyak bagi mahasiswa. Dalam proses penerimaan mahasiswa baru seringkali membuat susunan berkas yang sangat banyak, sehingga menyulitkan pihak akademik dalam mengelola dan menentukan mahasiswa yang dapat masuk dalam program studi teknik informatika. Oleh sebab itu, diperlukan suatu pola yang dapat menentukan mahasiswa yang lulus dan tidak lulus menggunakan metode klasisfikasi data mining CHAID (Chi Squared Automatic Interaction Detection). Tujuan dalam penelitian ini adalah Merancang model pola karakteristik berdasarkan kriteria dalam seleksi penerimaan mahasiswa baru pada program studi teknik informatikaMenganalisis metode data mining decision tree dengan algoritma CHAID (Chi Squared Automatic Interaction Detection) dalam menentukan siapa yang lulus berdasarkan kriteria-kriteria yang telah ditentukan. Hasil pohon keputusan dalam perancangan pola karakteristik penerimanan calon mahasiswa baru terdapat 43 rule dimana , faktor tertinggi dari ke- 3 faktor yang mempengaruhi pada 75 data testing adalah kriteria Nilai Rapor. Faktor kedua yang juga mempengaruhi hasil keputusan adalah kriteria Ujian CAT (Computer Assisted Test). Dan faktor Nilai Wawancara terakhir yang juga mempengaruhi hasil keputusan adalah kriteria.
Implementation Of The Data Mining Cart Algorithm In The Characteristic Pattern Of New Student Admissions Ahmad Syahban Rifandy Siregar; Yunita Sari Siregar; Mufida Khairani
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1975

Abstract

University of Harapan Medan is one of the private universities in North Sumatra which has an Informatics Engineering Study Program with Good Accreditation. With better accreditation, the number of students who register is also increasing. At the admission of new students, the committee has a huge pile of data, making it difficult in the process of whether the student passed or did not pass. Therefore, in this study, we will implement data mining with the CART (Classification And Regression Tree) algorithm. Data mining is a technique to determine the characteristic pattern of a variable or data criteria with a large amount. In the CART method, the data is first converted into testing data, which will then be used to form a classification tree by calculating the value of information gain, Gini index and goodness of split. From the results obtained, it will be re-determined terminal nodes, marking class labels and finally pruning the classification tree which produces a decision tree. In this study, the number of testing data was 75 with 3 criteria, namely the average value of report cards, CAT test scores, and interview scores. The results of testing data testing using RapisMiner 5.3 software produce 23 number of characteristic pattern rules, where node 1 is the CAT test score, level 1 branch node is the interview score criteria and level 2 branch node is the average report card value.
Co-Authors agung pradana Ahmad Syahban Rifandy Siregar Arie Rafika Dewi Arief Budiman Arif Novriadi Boni Oktaviana Dinda Cahya Ramadhani Divi Handoko Dodi Siregar Harahap, Herlina Ilham Faisal Mochammad Iswan Muhammad Ridzky Pratama Nur Wulan Nurul Fajrina Nurwulan Nurwulan Rendy Irawan Rini Rahmadani Sinambela Siregar, Yunita Sari Syahputri, Nenna Irsa Tomi Hidayat Yessi Fitri Annisah Lubis Yulia Agustina Dalimunthe Yuyun Dwi Lestari