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PERANCANGAN SISTEM INFORMASI PEMESANAN KAMAR KOST PADA RUKOST AYAH BUNDA MENGGUNAKAN METODE DESIGN THINKING Nurul Fitrah Hayati; Arie Rafika Dewi; Fachrul Rozi Lubis
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 1 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1253.833 KB) | DOI: 10.46880/jmika.Vol6No1.pp29-33

Abstract

With respect to the development of information technology, and would force the people in those who use the technology maximally life of all terms. Certainly various information, one is for the students who will undergo tour study or undergo college them in the far from their homes. It made students were to will find temporary shelter as a domicile for the study done. It is therefore needed a system by which can help students to rented room without coming directly to tenants. Building these systems in a design thinking from empathizing, defining, ideating, and testing prototype. Of writing code PHP, using the program and also use database MySQL framework Codeigniter 3. With the rental system, the rooming house is to simplify prospective tenants to do the booking the rooming house without having to come to the rooming house providers.
Analisis Prediktif untuk Keputusan Bisnis : Peramalan Penjualan Amir Mahmud Husein; Fachrul Rozi Lubis; Muhammad Khoiruddin Harahap
Data Sciences Indonesia (DSI) Vol. 1 No. 1 (2021): Article Research Volume 1 Issue 1, June 2021
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (921.35 KB) | DOI: 10.47709/dsi.v1i1.1196

Abstract

Peramalan penjualan produk adalah aspek utama dari manajemen pembelian, persediaan yang melebihi permintaan atau kekurangan akan berdampak pada manajemen pelayanan maupun secara ekominis. Makalah ini fokus mencoba menyajikan penerapan analisis prediktif dengan mengadopsi kerangka kerja Data Science (ilmu data) untuk menemukan wawasan yang berguna dalam pengambilan keputusan bisnis khususnya tentang peramalan penjualan produk di masa depan. Kerangka CRISP-DM diusulkan dengan tahapan pemahasan bisnis, pemahaman dan persiapan data, exploratory data analysis (EDA) dan pemodelan. Berdasarkan hasil pengujian data penjualan yang dievaluasi berdasarkan RMSE dan MAE, algoritma XGBoost menghasilkan prediksi berada dalam 1,3% kemudian ARIMA sebesar 1.6%, masih lebih baik dibandingkan LinearRegression, RandomForestdan LSTM dengan tingkat kesalahan sebesar 1.81%, 1.97%, 2.21% pada masing-masing algoritma dari data aktual.
Peramalan Deret Waktu untuk Bisnis : Pendekatan algoritma LGBM Regressor Fachrul Rozi Lubis; Eddy Rahman Syahputra
Data Sciences Indonesia (DSI) Vol. 1 No. 2 (2021): Article Research Volume 1 Number 2, Desember 2021
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1014.723 KB) | DOI: 10.47709/dsi.v1i2.1347

Abstract

Peramalan deret waktu adalah topik yang cukup umum di bidang data science (ilmu data). Perusahaan menggunakan model peramalan untuk mendapatkan pandangan yang lebih jelas tentang bisnis masa depan. Data masa lalu dikumpulkan dan dianalisis melalui model kuantitatif atau kualitatif sehingga pola dapat diidentifikasi dan dapat mengarahkan perencanaan bisnis di masa depan akan tetapi memilih algoritme yang tepat merupakan salah satu keputusan sulit ketika akan mengembangkan model peramalan deret waktu. Penelitian ini menyajikan hasil analisi data dengan mengadopsi kerangka kerja data science CRISP-DM dan membandingkan lima algoritma berbeda untuk memperkirakan penjualan harian selama 28 hari ke depan. Berdasarkan hasil evaluasi kinerja RMSE, algoritma LGBM Regressor menghasilkan tingkat kesalahan 7.53 %, paling rendah dibandingkan algoritma lain, akan tetapi waktu pelatihan dan pengujian paling tinggi.
Implementasi Sistem Pemilihan Agen Perubahan Pada Pengadilan Militer Tinggi I Medan Menggunakan Metode Topsis Ahmad Zakir; Febrica Hotmaulina Sitorus; Fachrul Rozi Lubis
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 6 No. 2 (2023): Jutikomp Volume 6 Nomor 2 Oktober 2023
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v6i2.4294

Abstract

The Medan High Military Court I is an essential institution in Indonesia's military justice system, and change within this institution plays a crucial role in improving efficiency, accountability, and legal services. Change agents within the military justice system are crucial in improving the system, increasing accountability, and ensuring compliance with human rights principles and applicable laws. Selecting effective change agents at Medan High Military Court I using the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) method. The TOPSIS method measures and compares change agent candidates based on predetermined criteria. These criteria included competence, experience, understanding of the military justice system, communication, and leadership ability. Data was obtained through surveys and interviews with staff and stakeholders at Medan High Military Court I. This system will assist decision-makers at Medan High Military Court I in determining the most suitable change agent to lead change in the institution. In addition, this research can also provide insights into the importance of selecting the right change agent in the context of military justice, which in turn can improve the effectiveness of the military justice system as a whole.
Website Event Sebagai Daya Tarik Pariwisata Kabupaten Karo Menggunakan Fitur Multilanguage Sinulingga, Sri Ulina; Dewi, Arie Rafika; Lubis, Fachrul Rozi
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 7, No 2 (2023): November 2023
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v7i2.18552

Abstract

Kabupaten karo merupakan salah satu daerah di Sumatera Utara yang mimiliki kekayaan alam, budaya. Salah satu bentuk pengembangan sektor pariwisata dan pelestarian budaya yaitu dengan dibuatnya event. Kegiatan event yang diadakan bertujuan untuk mempromosikan, memperkenalkan dan melestarikan keberagaman budaya lokal. Event masih jarang diketahui oleh Masyarakat luas karena kurangnya penyebaran informasi terkait event yang diadakan. Pemasaran pariwisata online menjadi sangat penting dalam mempromosikan destinasi wisata. Melalui website, informasi tentang event di Kabupaten Karo dapat memudahkan wisatawan untuk mendapatkan informasi event di Kabupaten Karo. Website Event yang dilengkapi dengan fitur multilanguage dapat meningkatkan promosi pariwisata ke berbagai negara. Hal ini dapat membantu meningkatkan jumlah kunjungan wisatawan dan memperluas pasar pariwisata di Kabupaten Karo. Kata kunci: Event, Pariwisata, Kabupaten Karo, Fitur Multilanguage
Penggunaan Metode MFEP Dalam Menentukan Jenis Daging Ayam Yang Berkualitas Untuk Di Konsumsi Berbasis Web Fransiska, Yunita; Irvan, Irvan; Lubis, Fachrul Rozi
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 6, No 2 (2022): November 2022
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v6i2.13771

Abstract

Chicken meat is an ingredient that contains high animal protein where many of the chickens also make a major contribution to meeting the animal protein needs of the Indonesian people. The need for chicken meat has increased every year, because the price is affordable by all people. There are many types of chicken meat that are widely circulated among the Indonesian people, plus so far there is no information about chicken meat that is suitable for consumption. The community must be required to be more careful in choosing chicken meat that is suitable for consumption. The purpose of this research is to determine which meat is suitable for consumption by the community by using the MEFP method as an indicator in the calculation of the assessment with the results of being able to determine chicken meat that is suitable for consumption. The criteria used in this study are color, aroma, texture, price, and protein with the results of probiotic and prebiotic chickens as chickens that have good value for consumption Keywords: Chicken Meat, Mefp 
Sistem Pendukung Keputusan Pemilihan Guru Terbaik Berdasarkan Penilaian Kinerja Menggunakan Metode Profile Matching Fachry Al Hafiz; Husni Lubis; Fachrul Rozi Lubis
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 3 No. 1 (2024): Januari 2024
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v3i1.114

Abstract

Teachers are the initial milestone in the creation of a nation with quality young generation, both in the academic and non-academic fields. To determine or choose the best teacher, a decision support system for selecting the best teacher is made to appreciate the work performance that has been done while being a teaching staff, and is expected to increase motivation so that teachers can improve their performance. For this reason, a decision support system is needed that can analyze several teachers according to the existing teacher selection profile. The Profile Matching process is carried out to determine teacher recommendations in the Best Teacher Selection System based on 3 variables, namely intellectual aspects, work attitude aspects and general aspects. The result of the selection process is in the form of a teacher's final score as a recommendation for decision makers to choose the right teacher in the selection of the best teacher.