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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 Prosiding Snastikom Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Digital Transformation Technology (Digitech) Prioritas : Jurnal Pengabdian Kepada Masyarakat Literasi: Jurnal Pengabdian Masyarakat dan Inovasi
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

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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.
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

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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 Arif Novriadi Boni Oktaviana Dalimunthe, Yulia Agustina Dinda Cahya Ramadhani Divi Handoko Dodi Siregar Harahap, Herlina Ilham Faisal Mochammad Iswan Nur Wulan Nurul Fajrina Nurwulan Nurwulan Rendy Irawan Siregar, Yunita Sari Syahputri, Nenna Irsa Tomi Hidayat Yessi Fitri Annisah Lubis Yuyun Dwi Lestari