Article Per Year (5 Year)
p-Index From 2020 - 2025
0.778
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Biologi Undiksha Jurnal Riset Matematika Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Pentagon: Jurnal Matematika dan Ilmu Pengetahuan Alam
Annisa Hidayah
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Engineering Mathematics Public Health

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Analisis Minat Belajar Siswa Kelas X-1 di SMAN 1 Kramatwatu pada Pembelajaran Biologi Materi Virus Annisa Hidayah
Jurnal Pendidikan Biologi Undiksha Vol. 11 No. 2 (2024)
Publisher : Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpb.v11i2.70117

Abstract

This research aims to analyze the learning interests of class X-1 students related to learning virus material in biology subjects. The method used in this research is a qualitative descriptive approach with data collection techniques in the form of questionnaires and observations. The data obtained was analyzed using scoring to reveal a clearer picture of students' interest in learning. The results of the research showed that students in class X-1 at SMAN 1 Kramatwatu showed high interest in studying virus material in the biology subject. This is shown by the enthusiastic and responsive attitude of students during learning activities. Students also seem focused and pay attention to the lesson so that the material can be easily understood. Students' interest in learning is influenced by several factors. Factors that influence students' interest in learning can be divided into two categories: internal factors, such as learning style and interest in learning, and external factors, including learning models, learning methods, and material studies. These factors are mutually involved in forming students' interest in learning about viruses in biology.
Penggunaan Python Dalam Menyelesaikan Permasalahan Supremum dan Infimum Suatu Himpunan Fuji Winanti; Annisa Hidayah; Mutia Agustin Purba; Rizky Saputra. T; Novita Atika Sitorus
Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 4 (2024): Desember: Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/pentagon.v2i4.267

Abstract

This research uses a quantitative approach with the help of Python to solve infimum and supremum problems involving measurements, calculations and data analysis to draw conclusions. This research process consists of several stages: problem identification, modeling a set of numbers or functions, and implementing algorithms in Python to calculate the infimum and supremum. The calculation results are compared with manual analytical solutions to ensure accuracy and efficient use of Python. Sets as a basic concept in programming allow organizing data and logical operations more efficiently. These findings show that Python is not only effective in calculating supremum and infimum, but also speeds up the solution process compared to manual methods. The results of the program execution show that the analyzed set has an infimum fan supremum which is in accordance with the theory, where set 1 has an infimum of 2, set 2 has a supremum of 5, and set 3 has an infimum of 1 and a supremum of 4.
Pemodelan Rantai Markov dalam Memprediksi Hasil Panen Kopi di Pulau Sumatera Hasibuan, Eka Sri Hartini; ameliya, Ameliya; Annisa Hidayah; Piliang, Yumna Khairi Amani; Manullang, Sudianto; Nasution, Alvi Sahrin
Jurnal Riset Matematika Volume 5, No.1, Juli 2025, Jurnal Riset Matematika (JRM)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrm.v5i1.7197

Abstract

Abstract. Coffee is one of the leading commodities in Indonesia, especially in the Sumatra Island region. The provinces of Aceh, North Sumatra, West Sumatra, South Sumatra, Bengkulu, and Lampung are the main centers of coffee production, both Arabica and Robusta types. In addition to being the main source of income for farmers, coffee also plays an important role in supporting the country's foreign exchange. However, coffee production in the region still faces various challenges, such as climate fluctuations, erratic rainfall, pest attacks, and variations in cultivation techniques that cause instability in harvest yields from year to year. This study aims to predict coffee harvest yields during the period 2024 to 2028 using the Markov Chain model. This model is used to describe the shift in production distribution between provinces based on the transition probability from previous conditions. The data used are secondary data on coffee harvests from 2018 to 2023. The analysis was carried out by compiling a transition matrix, calculating the probability distribution for each year, and estimating the harvest yield quantitatively. The prediction results show a relatively stable annual production of around 538 thousand tons. The Mean Absolute Percentage Error (MAPE) value of 9.93% indicates a fairly good level of model accuracy. In addition, steady state conditions are estimated to be achieved in 2030. This study contributes to efforts to formulate adaptive and sustainable coffee distribution and production planning policies in Sumatra. Abstrak. Kopi merupakan salah satu komoditas unggulan di Indonesia, khususnya di wilayah Pulau Sumatera. Provinsi Aceh, Sumatera Utara, Sumatera Barat, Sumatera Selatan, Bengkulu, dan Lampung menjadi sentra utama produksi kopi, baik jenis Arabika maupun Robusta. Selain menjadi sumber utama pendapatan petani, kopi juga berperan penting dalam menopang devisa negara. Namun, produksi kopi di wilayah tersebut masih menghadapi berbagai tantangan, seperti fluktuasi iklim, curah hujan yang tidak menentu, serangan hama, dan variasi teknik budidaya yang menyebabkan ketidakstabilan hasil panen dari tahun ke tahun. Penelitian ini bertujuan untuk memprediksi hasil panen kopi selama periode 2024 hingga 2028 dengan menggunakan model Rantai Markov. Model ini digunakan untuk menggambarkan peralihan distribusi produksi antar provinsi berdasarkan probabilitas transisi dari kondisi sebelumnya. Data yang digunakan merupakan data sekunder hasil panen kopi dari tahun 2018 hingga 2023. Analisis dilakukan dengan menyusun matriks transisi, menghitung distribusi probabilitas tiap tahun, serta memperkirakan hasil panen secara kuantitatif. Hasil prediksi menunjukkan produksi tahunan yang relatif stabil, sekitar 538 ribu ton. Nilai Mean Absolute Percentage Error (MAPE) sebesar 9,93% menunjukkan tingkat akurasi model yang cukup baik. Selain itu, kondisi steady state diperkirakan tercapai pada tahun 2030. Penelitian ini memberikan kontribusi dalam upaya penyusunan kebijakan distribusi dan perencanaan produksi kopi yang adaptif dan berkelanjutan di Sumatera.
KKN Unimed 2025: dari Belimbing Tumbuh Ekonomi, dari Edukasi Lahir Generasi, dari Kebersamaan Hidup Harmoni Mahasiswa Kuliah Kerja Nyata Unimed 2025 Desa Durin Simbelang Faridz Ravsamjani; Aanzar Mizana Nugraha; Aldira Lidwina Br Sembiring; Angelina Rolas Olivia Naibaно; Annisa Hidayah; Bella Amelia; Bonny Saragih; Daniel Sanggam Luhutan; Debby Ayu Andrera; Fifi Ivana Greace Sembiring; Firza Aditya Ramadhan; Fitri Novi Yanti Munthe; Josep Nainggolan; Juan Prima Saragih; Leysutha Kenina Grata Aka; Malvira Pohan; Noubel Putra Nainggolan; Selfiana Lumbanbatu; Sylvia Anasthasya Angel; Theodore Winn Tarigan; Tiara Sauna Br Sembiring; Vina Prd; Zahru Saritza
ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Vol. 3 No. 5 (2025): September: ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/aspirasi.v3i5.2249

Abstract

Community Service Program (KKN) is a form of student community service by directly applying scientific knowledge in the field. The 2025 Unimed KKN was conducted in Durin Simbelang Village, Pancur Batu District, Deli Serdang Regency, with the aim of empowering local potential and improving the quality of education, social, and environmental aspects of the village. This research used a qualitative descriptive approach with participatory methods, in which students actively engaged with the community in each program. Data were collected through observation, interviews, documentation, and direct participation, then analyzed descriptively through the stages of reduction, presentation, and conclusion. Research findings indicate that the Community Service Program (KKN) has had a significant impact in various aspects. In the economic sector, the downstreaming and marketing of processed starfruit products has successfully improved residents' skills in processing harvested produce into value-added products. In the educational sector, activities such as "Ceria Calistung Ceria," "Si Cerdik Math," "English Fun Club," "Savings for Small Change," "Education for the Creative Economy," and "Wisdom Digital Literacy" have proven effective in improving academic skills, creativity, and positive character traits among the younger generation. In the social and environmental aspects, the "gotong royong" (mutual cooperation) program, rhythmic gymnastics, educational trash signage, volleyball court construction, gate decoration, and 17th August competitions have strengthened social cohesion, raised awareness of healthy living, and increased concern for environmental cleanliness.
Co-Authors Aanzar Mizana Nugraha Aldira Lidwina Br Sembiring Ameliya, Ameliya Angelina Rolas Olivia Naibaно Bella Amelia Bonny Saragih Daniel Sanggam Luhutan Debby Ayu Andrera Faridz Ravsamjani Fifi Ivana Greace Sembiring Firza Aditya Ramadhan Fitri Novi Yanti Munthe Fuji Winanti Hasibuan, Eka Sri Hartini Josep Nainggolan Juan Prima Saragih Leysutha Kenina Grata Aka Malvira Pohan Manullang, Sudianto Mutia Agustin Purba Nasution, Alvi Sahrin Noubel Putra Nainggolan Novita Atika Sitorus Piliang, Yumna Khairi Amani Rizky Saputra. T Selfiana Lumbanbatu Sylvia Anasthasya Angel Theodore Winn Tarigan Tiara Sauna Br Sembiring Vina Prd Zahru Saritza