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DETERMINANT OF THE INTENTION TO USE CHATGPT AMONG STUDENTS OF FACULTY OF SCIENCE AND TECHNOLOGY Ridwan, M; Hasibuan, Hani Maulida; Yasir, Amru
Djtechno: Jurnal Teknologi Informasi Vol 5, No 3 (2024): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v5i3.5334

Abstract

This study explored the effect of perceived usefulness, perceived ease of use, and, lifestyle compatibility, to use ChatGPT among Students of Science and Technology Faculty of UINSU Medan using the unified theory of acceptance and use of technology (UTAUT). This quantitative study adopted a cross-sectional research design to gather data from 130 respondents using a Google Form. The collected data were analyzed using partial least square structural equation modelling (PLS-SEM). As a result, perceived usefulness, perceived ease of use, and  lifestyle compatibility, displayed a significant positive effect on intentions to use ChatGPT. The study outcomes serve to inform managers of faculty and university to devise effective strategies that capture students’ intention to use and experience of using ChatGPT in the learning process..
Regression Modeling of Zero-Inflated Negative Binomia (ZINB) in Pneumonia Cases in Toddlers in North Sumatra Province Hasibuan, Hani Maulida; Husein, Ismail
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5596

Abstract

Pneumonia is a lung infection that causes inflammation in the air sacs within the lungs. This disease is caused by microorganisms such as bacteria, viruses, fungi, or even inhaled substances. This study aims to identify significant factors influencing the incidence of pneumonia in children under five years old in North Sumatra Province in 2022. In this case, the dependent variable has an excessive number of zero values (excess Zero), leading to overdispersion. By using the Zero Inflated Negative Binomial (ZINB) regression method, significant factors affecting the incidence of pneumonia in children under five years old in North Sumatra Province were identified. The study found that the variable of the number of low birth weight babies (BBLR) (X5) significantly influences the incidence of the disease in North Sumatra Province in 2022. It can be seen from the significant variables affecting the occurrence of pneumonia in children under five, which are 0.0406% (X1), 0.00952% (X2), 0.006506% (X3), and 2.122% (X4).
Analisis Diskriminan untuk Mengetahui Faktor yang Mempengaruhi Pilihan Peminatan pada Program Studi Matematika Di UINSU Clara, Nur Cellia; Hasibuan, Hani Maulida; Ayunda, Afrila; Khairani, Sabila; Cipta, Hendra
JURNAL JENDELA MATEMATIKA Vol. 3 No. 02 (2025): Jurnal Jendela Matematika: Edisi Juli 2025
Publisher : CV. Jendela Edukasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57008/jjm.v3i02.1706

Abstract

Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang memengaruhi pemilihan peminatan mahasiswa pada Program Studi Matematika di Universitas Islam Negeri Sumatera Utara (UINSU). Terdapat dua peminatan yang ditawarkan, yaitu Statistika dan Operasi Riset. Data diperoleh dari 84 mahasiswa yang terbagi dalam dua kelompok peminatan, dan dianalisis menggunakan metode analisis diskriminan. Hasil analisis menunjukkan bahwa variabel minat dan bakat serta peluang kerja memiliki pengaruh signifikan terhadap keputusan peminatan, sedangkan lingkungan sosial tidak memberikan pengaruh yang berarti. Fungsi diskriminan yang dibentuk mampu mengklasifikasikan peminatan mahasiswa dengan tingkat akurasi sebesar 76,2%. Temuan ini menekankan pentingnya pengenalan minat pribadi dan prospek karier dalam proses bimbingan akademik mahasiswa.
Regression Modeling of Zero-Inflated Negative Binomia (ZINB) in Pneumonia Cases in Toddlers in North Sumatra Province Hasibuan, Hani Maulida; Husein, Ismail
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 1 (2025): Article Research January 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i1.5596

Abstract

Pneumonia is a lung infection that causes inflammation in the air sacs within the lungs. This disease is caused by microorganisms such as bacteria, viruses, fungi, or even inhaled substances. This study aims to identify significant factors influencing the incidence of pneumonia in children under five years old in North Sumatra Province in 2022. In this case, the dependent variable has an excessive number of zero values (excess Zero), leading to overdispersion. By using the Zero Inflated Negative Binomial (ZINB) regression method, significant factors affecting the incidence of pneumonia in children under five years old in North Sumatra Province were identified. The study found that the variable of the number of low birth weight babies (BBLR) (X5) significantly influences the incidence of the disease in North Sumatra Province in 2022. It can be seen from the significant variables affecting the occurrence of pneumonia in children under five, which are 0.0406% (X1), 0.00952% (X2), 0.006506% (X3), and 2.122% (X4).
Optimasi Biaya Distribusi dengan Menggunakan Metode Trasportasi Hasibuan, Hani Maulida; kurahman, Panca Taufik; Aprilia Zam, Elma Dwi Ariana; Rakhmawati, Fibri
JIMAT: Jurnal Ilmiah Matematika Vol 7 No 1 (2026): Januari-Maret 2026
Publisher : Program Studi Pendidikan Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63976/jimat.v7i1.1322

Abstract

Penelitian ini berfokus pada identifikasi rute distribusi yang paling efisien dan biaya pengiriman yang terendah untuk mendistribusikan tahu ke empat pasar yang berada di lokasi berbeda. Penelitian dimulai dengan menganalisis strategi distribusi saat ini, yang melibatkan pengiriman tahu dari dua gudang penyimpanan ke berbagai tujuan, dengan biaya transportasi harian sebesar Rp 202.500. Proses optimasi dilakukan dengan menggunakan beberapa metode, termasuk North West Corner (NWC), Biaya Terendah (Least Cost), dan Vogel’s Approximation Method (VAM) untuk mencari solusi awal. Solusi awal tersebut kemudian diperbaiki dengan menggunakan metode Stepping Stone dan Modified Distribution Method (MODI) untuk mencapai alokasi biaya yang paling efisien. Hasil penelitian menunjukkan bahwa rencana distribusi yang optimal dapat secara signifikan mengurangi biaya transportasi, memberikan wawasan berharga untuk meningkatkan efisiensi logistik pada perusahaan skala kecil dan menengah. Temuan penelitian ini diharapkan dapat memberikan kontribusi dalam mengoptimalkan strategi distribusi, meminimalkan biaya, dan meningkatkan efisiensi operasional secara keseluruhan di industri serupa.