Article Per Year (5 Year)
p-Index From 2020 - 2025
11.876
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Ternak JURNAL ILMU DAN TEKNOLOGI PETERNAKAN Ilmu Administrasi Publik ELT Worldwide: Journal of English Language Teaching Jurnal Sosialisasi: Jurnal Hasil Pemikiran, Penelitian dan Pengembangan Keilmuan Sosiologi Pendidikan Jurnal Ilmu Pangan dan Hasil Pertanian Fashion and Fashion Education Journal Sinkron : Jurnal dan Penelitian Teknik Informatika GIZI INDONESIA Chimica et Natura Acta Jurnal Pendidikan Matematika dan Sains Jurnal SOLMA Jurnal Analisis Bisnis Ekonomi SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Fish Protech Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan SEIKO : Journal of Management & Business DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) The International Journal of Business Review (The Jobs Review) Nursing Inside Community Math Educa Journal Jurnal Pendidikan Teknologi Pertanian Bahasa: Jurnal Keilmuan Pendidikan Bahasa dan Sastra Indonesia Building of Informatics, Technology and Science Jurnal Ilmiah Kebidanan Indonesia (Indonesian Midwifery Scientific Journal) Informatika Jurnal Agrium JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Dinasti International Journal of Education Management and Social Science PREPOTIF : Jurnal Kesehatan Masyarakat Jurnal Abdi Insani Jurnal Fisika dan Terapannya Jurnal Peduli Masyarakat Green Medical Journal Jurnal Kesehatan dan Keselamatan Kerja Universitas Halu Oleo JURNAL APARATUR Indonesian Journal of Business and Management Buletin Peternakan Tropis (Bulletin of Tropical Animal Science) MAHESA : Malahayati Health Student Journal Indonesian Journal of Intellectual Publication (IJI Publication) Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Agrisistem Jurnal EduHealth INDONESIAN JOURNAL OF HEALTH Proceedings of International Conference on Multidiciplinary Research Jurnal Pendidikan dan Profesi Keguruan Indo-MathEdu Intellectuals Journal Phydagogic : Jurnal Fisika dan Pembelajarannya Healthy Tadulako Journal (Jurnal Kesehatan Tadulako) Jurnal Manajemen Perbankan Keuangan Nitro Jurnal Iman dan Spiritualitas Journal of Computer Science and Information Systems (JCoInS) Seminar Nasional Pengabdian Kepada Masyarakat Dulang: Jurnal Pengabdian Kepada Masyarakat Makara Journal of Health Research Jurnal Ekobismen TAUJIHAT: Jurnal Bimbingan Konseling Islam Review of Accounting and Business Sahabat Sosial: Jurnal Pengabdian Masyarakat Pengabdian Jurnal Abdimas Prohealth Journal Jurnal Pengabdian Masyarakat Jurnal Riset Multidisiplin dan Inovasi Teknologi Cendikia Pendidikan Tut Wuri Handayani : Jurnal Keguruan dan Ilmu Pendidikan PEDAMAS (Pengabdian Kepada Masyarakat) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Panrita AGROTEKBIS: Jurnal Ilmu Pertanian Journal Of Sport Education, Coaching, And Health Jurnal Pembangunan Agribisnis (Journal of Agribusiness Development) Hexagon: Jurnal Ilmu dan Pendidikan Matematika Paramacitra : Jurnal Pengabdian Masyarakat Jurnal Medika Veterinaria English Edu: Journal of English Teaching and Learning Jurnal Agroterpadu Pinisi Journal Pendidikan Guru Sekolah Dasar Jurnal Ekonomi Manajemen dan Kewirausahaan Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Pharmacia PENDIMAS Health Science & Biomedical Journal (HSBJ)
Irmayanti Irmayanti, Irmayanti
Unknown Affiliation
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

Published : 111 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search
Journal : Informatika

 1 
Sistem Pengambilan Keputusan Untuk Pengolahan Data Siswa Penerima Bantuan Belajar Komputer Gratis Sofiani, Anggi; Nasution, Marnis; Irmayanti, Irmayanti
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.5992

Abstract

Students play an important role in learning computers, especially in the process of education and learning. According to Law No. 14 of 2005 article 51 paragraph 1 item b states that students are entitled to receive awards for their performance during computer Learning . On the other hand, information technology continues to develop rapidly, one of the developments in information technology is the emergence of Decision Support Systems. Decision support system is a system that helps decision makers in making a decision.There are many methods or algorithms that can be used in decision support systems, including Weighted Product (WP), TOPSIS, Simple Addictive Weighting (SAW), Analytical Hierarchy Process (AHP) methods and others. Analytical Hierarchy Process (AHP) method is one method that has been widely used in Decision Support Systems. This method has the ability to measure the degree of consistency of the decisions to be made. One of the consistency calculations performed in the AHP method is the calculation of the consistency ratio, which in this calculation is done using the value of the random index (IR). Over time, many researchers have conducted research on the value of the Analytical Hierarchy Process random index, so there are many new random index values in addition to the AHP random index found by students.
Application of Apriori and Fp-Growth Methods in Analyzing Book Lending Patterns Penerapan Metode Apriori dan Fp-Growth dalam Analisis Pola Peminjaman Buku Faradilah, Rahma; Harahap, Syaiful Zuhri; Irmayanti, Irmayanti
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6155

Abstract

Clustering of book borrowing patterns in the University of Labuhanbatu library aims to identify and understand student preferences and habits in borrowing books. With this analysis, the library can be more effective in managing book collections, ensuring the availability of frequently borrowed books, and improving the quality of service according to student needs. Using clustering techniques also helps in designing a more targeted book procurement strategy, so that existing resources can be optimally utilized to support the teaching and learning process. In this study, the methods used are Kf-Growth and Apriori to identify book borrowing patterns. Kf-Growth is used to find frequent itemsets or collections of books that are often borrowed together, while Apriori is used to generate association rules that reveal the relationships between borrowed books. Both of these methods allow for a more in-depth and comprehensive analysis of book borrowing patterns in the library, with the ability to handle large amounts of data and identify significant relationships between items. This process involves several stages, including data preprocessing, algorithm application, and evaluation of the results to ensure the validity and accuracy of the resulting clustering. The results of the clustering analysis show a very good confidence value, with many male and female students borrowing the book "Pengantar Akuntansi" consistently. This borrowing pattern shows that books related to economics and accounting have a high level of demand. The Kf-Growth and Apriori methods have proven to be very effective in clustering, providing accurate and reliable results. With these results, the Labuhanbatu University library can take more informative and strategic steps in managing book collections, ensuring that frequently borrowed books are always available, and improving the borrowing experience for students.
Perancangan Pembelajaran Media Animasi (Studi Kasus SD Negeri 22 Rantau Utara) Dengan Menggunakan Adobe Flash Hutagalung, Devi lestari; Masrizal, Masrizal; Irmayanti, Irmayanti
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6030

Abstract

Dalam era digital seperti sekarang adalah zaman yang maju. Dalam kemajuan tersebut didukung oleh teknologi yang berkembang pesat. Komputer dapat digunakan sebagai sarana pembelajaran yang menarik dan interaktif, sehingga dapat meningkatkan minat dan antusias peserta didik. Media pembelajaran berbasis komputer dapat menyajikan materi pembelajaran secara visual dan audio yang lebih menarik dan mudah dipahami. Selain itu, media pembelajaran berbasis komputer juga dapat memberikan umpan balik secara langsung kepada peserta didik, sehingga dapat membantu siswa untuk memahami materi pembelajaran dengan lebih baik ,  tempat penelitian SDN 22 Rantau Utara merupakan salah satu sekolah Dasar Negeri di daerah Pulo Padang yang beralamat di Pasir Tinggi, kecamatan rantau utara kabupaten labuhanbatu sumatra utara. SDN 22 Rantau Utara. Penelitian ini menggunakan Adobe Flash sebagai aplikasi perancangan animasi pengenalan huruf dan angka.
Implementasi Metode Naive Bayes dan Neural Network Untuk Menentukan Minat Masyarakat Pada Handphone Samsung M, Nelvi Nurrizqi; Harahap, Syaiful Zuhri; Irmayanti, Irmayanti
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6163

Abstract

Naive Bayes and Neural Network methods are used in analyzing people's interest in Samsung mobile phones to gain a better understanding of consumer preferences. Naive Bayes is a simple but very effective probability-based classification method. This method generates possible consumer interests by analyzing features such as price, specifications, and brands, and calculating the probability of different categories. Naive Bayes is very useful in situations where data has independent features, and can provide accurate results at high speed. By identifying patterns of people's preferences, this method can help Samsung adjust marketing and product strategies that are more in line with consumer needs. On the other hand, Neural Network offers more complex analytical capabilities by imitating the way the human brain works through a network of neurons. This method is used to process larger and more complex data in understanding consumer interest patterns in Samsung mobile phones. Neural Network can identify deeper relationships between various factors, such as the interaction between camera features and user needs, using deep learning processes. The purpose of using Neural Network is to capture nuances and trends that cannot be identified with simple methods, thereby providing a more comprehensive view of what drives consumer interest. The use of these two methods of analysis in public interest in Samsung mobile phones has provided very satisfactory results. The calculation values obtained from both methods show a high level of accuracy in the classification of consumer interest. The results of this analysis provide valuable insights for Samsung in understanding consumer preferences and needs, as well as helping the company in designing more effective products and marketing strategies. Thus, the combination of the use of Naive Bayes and Neural Networks not only provides stron g results, but also provides a more holistic approach to consumer data analysis.
Analisis Pola Pembelian Melalui Ponsel Menggunakan Algoritma Apriori dan Fp–Growth Pada Millenium Ponsel Andriani, Nur Putri; Harahap, Syaiful Zuhri; Irmayanti, Irmayanti
Jurnal Informatika Vol 12, No 3: INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i3.6158

Abstract

The purpose of this research is to understand the main factors that influence consumer decisions in purchasing the device. By exploring information about consumer preferences, needs, and behavior, this study seeks to identify purchasing trends and understand how aspects such as mobile phone features, price, and brand influence consumer choices. The main objective of this study is to provide in- depth insights to technology industry players so that they can develop more effective and relevant marketing and product strategies to meet dynamic market needs. To achieve this goal, this study uses the Apriori and FP-Growth methods, which are data mining algorithms that are effective in finding associations and patterns in transaction data. The Apriori method focuses on identifying the frequency of occurrence of itemsets and forming association rules based on support and confidence values, while FP- Growth uses a tree approach to store and extract frequently occurring patterns more efficiently. Both methods allow for in-depth analysis of mobile phone purchase data, so that complex patterns can be revealed more accurately and quickly. The results of this study indicate that there is a very clear mobile phone purchasing pattern among consumers, with confidence values reaching 90% for some association rules. For example, consumers who purchase phones with AMOLED displays tend to also choose large battery capacities from certain brands. These patterns indicate strong and consistent preferences across consumer groups, providing manufacturers with opportunities to target specific market segments with tailored product offerings. These findings not only provide valuable insights into consumer behavior but also help companies optimize their marketing strategies and increase their competitiveness in the technology industry.
Co-Authors A, Nurmala Sinta Abd. Rasyid Syamsuri Abdul Halik Abdul Rahim Abidin, Saenal Adi, Yusram Afni, Fauza Agustin, Sinta Fortuna Agustina, Triya Ahmad Fadli Ahyar, Zakya Aisyah, St. Ajeng Restu Wahyuni Aliasra, A Fany Alwi, Muh. Alyas, Alyas Amanda S, Maria Catharine Ambalele , Elisabeth Andriani, Nur Putri Angraini, Nurvadillah Apriani, Laelati Dwina AR, Chairuni Arfah, Dinda Julia Arham, Muhammad Arta Farmawati Arum Dian Pratiwi, Arum Dian Aslan Abidin, Aslan Asmeri Lamona, Asmeri Asriani Ilyas Astuti - Bahtiar, Rizal Bangun, Budianto Basri, Muhammad Ridhwan Berry Erida Hasbi Besse Mahbuba We Tenri Gading Bulan, Yunita Embong Bunyamin Bunyamin Chairil Anwar Chairil Anwar Chairul Amni, Chairul CUT ITALINA Daud, Nur Ramahdani Dewi, Anita Candra Didik Santoso Dwi Irawati Dwi Ratna Sari, Dwi Ratna Eliyah Acantha Manapa Sampetoding Elva Nuraina Erliza Noor Etty Nurwati Fadiyah, Faiza Fahmitasari, Furi Faradilah, Rahma Farida Styaningrum Fattah, Nurfachanti Fitri Andriani, Fitri Fitri Rahmadani, Fitri Fitriani Fitriani Fuadi, Anis Gumilang, Randi Muhammad HA, Umar Hada, Hadayani Hamidah Suryani Hamka Hamsar, Israwati Harahap, Muhammad Wirawan Hasan, Muh Said Hasibuan, Lily Rohanita Hasruddin Herdiansyah, Roydido Heriyanti, Anggy Hidayat, Amat HIKMAD HAKIM Hikmawaty, Hikmawaty Hotimah, Hotimah Husain Syam Hutagalung, Devi lestari I Gusti Wayan Murjana Yasa I Wayan Darmadi Ibrahim, Fitriana Ika Rezvani Aprita Ilham Ilham Inar, Inar Indah Lestari Daeng Kanang Indayanti, Nova Indriani Indrianto Kadeko Irhami, Irhami Irna Diyana Kartika Irna Diyana Kartika Kamaluddin Isamu, Kobajashi Togo Ismet Ismet, Ismet Jamaluddin P, Jamaluddin P Juanti, Putri Judrah, Muh Juliani Julyanti, Eva Jumriati, Jumriati Junedi, Beni Kandatong, Hasanuddin Kartika Kartika Kemalawaty, Mulla Kusmiah, Nurhaya Laksmayani, Made Krina Laksono Trisnantoro Lewangka, Oesman Linda Fauziah Ariyani Lita, Wang Lukmanul Hakim Lusianawati, Hayu M Daud AK M Farhan Anwar M, Nelvi Nurrizqi Mabrukah, Ratu Makmur, Teuku Manuntungi, Andi Ernawati Martalena Br Purba, Martalena Br Martinawati Martinawati Masrijal, Masrijal Masruroh MASRUROH Maulinda, Maulinda Melyani, Sri Minanga, Yunus Tandi Moeljadi Moeljadi, Moeljadi Muhammad Halmi Dar Mulia, Ayu Munawaroh, Roudatul Munir, Wahida Musi, Muhammad Akil Mutmainnah Mutmainnah Nabil Makarim Nasution, Marnis Nasution, Maya Khairani Natsir, Pratiwi NFH, Alifya Nirwan, Siti Fauziyyah Novianty, Iin Nurelly Noro Waspodo, Nurelly Noro Nurhijrah, Nurhijrah Nurjannah Nurjannah Nurmadilla, Nesyana Nurmalasari Nurmalasari Nursakinah Annisa Lutfin Palayukan, Jisril Pannyiwi, Rahmat Prasodjo, Hendris Agung pratiwi, arezky Prema Hapsari Pribadi, Wikan Purwanto, Sri Putra, Fasdiansyah Raehan, Raehan Rahim, Samsir Rahmad Husein Rahmaniah, Rahmaniah Rahmawati, Laely Rahmi Rahmi Raisa, Nur Ratna Ratna Ratnasari, Jayanti Refiati, Refiati Rein, Rein Risky, Wiranti Cahya Rissa Megavitry Ristiana, Evi Ritonga, Arvida Ritonga, Eva Indriani Ritonga, Risa Agustika Rizki, Paqrul Rohaendi, Nendi Rosalia, Maya Rosmiaty Rosmiaty RR. Ella Evrita Hestiandari Rukmaini, Rukmaini Rusmayadi Rusmiati, Tati Ruth Dameria Haloho Safitri, Asrini Safitri, Asrini Salam, Salam Salfauqi Nurman, Salfauqi Salsabila, Aulia Sarman, Aco Parawansa Sesilia Tandondo, Hana Sherliana, Sherliana Sihotang, Diko Pradana Simatupang, Isnani Nuraminah Siregar, Ade Elvi Rizki Siti Nuraliah, Siti Sitti Husaebah Pattah Sofiani, Anggi Solly Aryza Sri Endah Wahyuningsih Sri Julyani Sri Vitayani Suandana, Nana Suardi, Suardi Suci Ramadhani, Suci Suhria Suhria Sukmawati Mardjuni Sukraini, Sukraini Supandi, Achmad Supriyatman, Supriyatman Suriansyah, Suriansyah Suriyati, Suriyati Suryadi, Sudi Suryana, Syarifah Sutihat, Kaifa Suyono Suyono Syah, Rahmayuni Syahri, Misba Wana Syahril, Erlin Syaiful Zuhri Harahap Tamrin Tamrin Tandiallo, Devianti Taufik, Muhammad Akram Taufiq, Raihan Teuku Isnaini Titi Candra Sunarti Topik Hidayat Touku Umar Urfani, Yulinda Usman, Al Zaima Utami, Yuri Pratiwi Wahyudi, Gusti Weny Dwi Ningtiyas Wury Damayantie Yeheskiel, Yeheskiel Yosua Yosua YUDI NUR SUPRIADI Yulia, Ruka Yulianti Yulianti Yulita Sirinti Pongtambing Yuni Tri Lestari, Yuni Tri Yusran, Sartiah Yusuf, Halmiah Zakirah Raihani Ya’la