Article Per Year (5 Year)
p-Index From 2021 - 2026
5.503
P-Index
This Author published in this journals
All Journal Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics JURNAL FISIKA JOURNAL ONLINE OF PHYSICS JPSE (Journal of Physical Science and Engineering) Journal of Physics and Its Applications JURNAL EKSAKTA PENDIDIKAN (JEP) KONSTAN - JURNAL FISIKA DAN PENDIDIKAN FISIKA JURNAL PENDIDIKAN TAMBUSAI GERVASI: Jurnal Pengabdian kepada Masyarakat Kappa Journal Inovasi Pendidikan: Jurnal Pendidikan Pelita Eksakta Gravitasi: Jurnal Pendidikan Fisika dan Sains Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Fisika dan Terapannya PAKAR Pendidikan Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Pillar of Physics Education : Jurnal Berkala Ilmiah Pendidikan Fisika Pillar of Physics: Jurnal Berkala Ilmiah Fisika JRFES Journal of Climate Change Society Jurnal Lingkungan Almuslim Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Journal of Experimental and Applied Physics Sinergi : Jurnal Ilmiah Multidisiplin
Letmi Dwiridal
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

Published : 63 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 63 Documents
Search

 3   4   5   6   7 
Design of Biogas Reactor as a Sustainable Energy Source in Pauh Sub-District Padang, West Sumatra Ramli, Ramli; Dwiridal, Letmi
Pelita Eksakta Vol 1 No 2 (2018): Pelita Eksakta Vol. 1 No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol1-iss02/26

Abstract

Cow dung waste in Pauh sub-district is widely available. Only partly used as a traditional fertilizer. In fact, the utilization of cow dung is one of the alternative sources of renewable energy. Although biogas technology is not something new in Indonesia, the obstacles faced by farmers are their lack of knowledge about processing cow dung into biogas and making of biogas reactors. Community service has been undertaken to provide knowledge through guidance and counseling methods to farmers about biogas, biogas reactor manufacturing and technology, and the advantages of biogas reactors, both in terms of economic and environmental values. Stages of the implementation of the activities; 1). Provide guidance and counseling to farmers about biogas and how to manufacture biogas reactor, 2). Provide guidance and counseling about the safety of biogas reactors, 3). Conduct periodic monitoring of farmer groups that are partners to the continuity and continuity of activities. The result of the activity is the availability of biogas reactor in farmer group in Pauh sub-district. The fermentation process to produce biogas in the reactor is approximately 3 weeks. Biogas reactors are built easy to make and cheap.
Analisis Variabilitas Curah Hujan Dan Pengaruhnya Terhadap Masa Tanam Kentang Di Kabupaten Kerinci Agil Fauziyah; Harman Amir; Letmi Dwiridal; Syafri
Sinergi : Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): Sinergi: Jurnal Ilmiah Multidisiplin
Publisher : PT. AHLAL PUBLISHER NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Rainfall variability is a critical factor influencing the success of agricultural activities, particularly in determining the potato planting season in highland areas such as Kerinci Regency. Although this region has high and relatively stable rainfall, changes in rainfall patterns over time can potentially create uncertainty in determining the optimal planting season. This study aims to analyze rainfall variability and its impact on the potato planting season in Kerinci Regency for the 2015–2024 period. The method used is descriptive quantitative research with a statistical analysis approach. The data used are daily rainfall data from the Meteorology, Climatology, and Geophysics Agency (BMKG), processed into monthly data, and potato planting season data from the Statistics Indonesia (BPS). The analysis was conducted using descriptive statistical calculations including the mean, standard deviation, and coefficient of variation (CV), as well as Pearson correlation analysis and simple linear regression. The results show that rainfall variability in Kerinci Regency is relatively low, with CV values ​​<20% in most months, indicating a relatively stable rainfall pattern. February, June, and July are recommended as the initial planting season due to their greater rainfall stability. Meanwhile, the correlation analysis results showed a positive relationship between rainfall and planting season, with a coefficient value of 0.346, but it was not statistically significant (p>0.05). This suggests that besides rainfall, other factors influence the potato planting season in the study area. Keywords: Rainfall Variability, Planting Season, Potatoes, Regression, Kerinci Regency.   Abstrak Variabilitas curah hujan merupakan salah satu faktor penting yang memengaruhi keberhasilan kegiatan pertanian, khususnya dalam penentuan masa tanam tanaman kentang di wilayah dataran tinggi seperti Kabupaten Kerinci. Meskipun wilayah ini memiliki curah hujan yang tinggi dan relatif stabil, perubahan pola hujan antar waktu berpotensi menimbulkan ketidakpastian dalam menentukan waktu tanam yang optimal. Penelitian ini bertujuan untuk menganalisis variabilitas curah hujan serta pengaruhnya terhadap masa tanam kentang di Kabupaten Kerinci periode 2015–2024. Metode yang digunakan adalah penelitian kuantitatif deskriptif dengan pendekatan analisis statistik. Data yang digunakan berupa data curah hujan harian dari BMKG yang diolah menjadi data bulanan serta data masa tanam kentang dari BPS. Analisis dilakukan menggunakan perhitungan statistik deskriptif meliputi rata-rata, simpangan baku, dan koefisien variasi (CV), serta analisis korelasi Pearson dan regresi linear sederhana. Hasil penelitian menunjukkan bahwa variabilitas curah hujan di Kabupaten Kerinci tergolong rendah dengan nilai CV <20% pada sebagian besar bulan, yang menandakan pola curah hujan relatif stabil. Bulan Februari, Juni, dan Juli direkomendasikan sebagai awal masa tanam karena memiliki tingkat kestabilan curah hujan yang lebih baik. Sementara itu, hasil analisis korelasi menunjukkan hubungan positif antara curah hujan dan masa tanam dengan nilai koefisien sebesar 0,346, namun tidak signifikan secara statistik (p>0,05). Hal ini menunjukkan bahwa selain curah hujan, terdapat faktor lain yang turut memengaruhi penentuan masa tanam kentang di wilayah penelitian. Kata Kunci: Variabilitas Curah Hujan, Masa Tanam, Kentang, Regresi, Kabupaten Kerinci.
Analisis Variabilitas Curah Hujan Terhadap Kejadian Banjir di Kota Pekanbaru (Studi Kasus Curah Hujan Periode 2015-2024) Auliyaa Adzka; Harman Amir; Asrizal; Letmi Dwiridal
Sinergi : Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): Sinergi: Jurnal Ilmiah Multidisiplin
Publisher : PT. AHLAL PUBLISHER NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pekanbaru City is one of the regions in Indonesia characterized by a tropical climate with high rainfall and considerable variability, which increases the potential for hydrometeorological disasters such as flooding. The increasing frequency of flood events in recent years indicates a relationship with changes in rainfall patterns. This study aims to analyze rainfall variability and examine the relationship between rainfall and flood occurrence frequency in Pekanbaru City during the period 2015–2024. The research employs a descriptive quantitative method with a statistical analysis approach using monthly rainfall data obtained from the Meteorological, Climatological, and Geophysical Agency (BMKG) Sultan Syarif Kasim II Station and flood occurrence data from the Regional Disaster Management Agency (BPBD) of Pekanbaru City. Data analysis was conducted using Microsoft Excel and SPSS version 27, including coefficient of variation (CV), normality test, Pearson correlation, and simple linear regression. The results indicate that rainfall variability in Pekanbaru City falls within low to moderate categories, with CV values ranging from 8.02% to 24.51%, where the highest variability occurs in February, July, and September. The Pearson correlation analysis shows a strong and significant positive relationship between rainfall and flood occurrences, with a correlation coefficient of 0.659 and a significance value of 0.020 (p < 0.05). The regression analysis reveals that rainfall contributes 43.5% to the variation in flood events. Flood occurrences tend to be more frequent at the beginning and end of the year, particularly in January, April, October, November, and December. Keywords: Rainfall, Variability, Flooding, Correlation, Pekanbaru.   Abstrak Kota Pekanbaru merupakan salah satu wilayah di Indonesia yang memiliki karakteristik iklim tropis dengan curah hujan tinggi serta variabilitas yang cukup besar, sehingga berpotensi meningkatkan risiko bencana hidrometeorologis seperti banjir. Peningkatan kejadian banjir dalam beberapa tahun terakhir menunjukkan adanya keterkaitan dengan perubahan pola curah hujan. Penelitian ini bertujuan untuk menganalisis variabilitas curah hujan serta hubungan antara curah hujan dan frekuensi kejadian banjir di Kota Pekanbaru selama periode 2015–2024. Metode yang digunakan adalah penelitian kuantitatif deskriptif dengan pendekatan analisis statistik menggunakan data curah hujan bulanan dari BMKG Stasiun Sultan Syarif Kasim II dan data kejadian banjir dari BPBD Kota Pekanbaru. Analisis data dilakukan menggunakan Microsoft Excel dan SPSS versi 27 melalui uji statistik meliputi koefisien variasi (CV), uji normalitas, korelasi Pearson, dan regresi linier sederhana. Hasil penelitian menunjukkan bahwa variabilitas curah hujan di Kota Pekanbaru berada pada kategori rendah hingga sedang dengan nilai CV berkisar antara 8,02% hingga 24,51%, di mana variabilitas tertinggi terjadi pada bulan Februari, Juli, dan September. Hasil analisis korelasi menunjukkan adanya hubungan positif yang kuat dan signifikan antara curah hujan dan kejadian banjir dengan nilai koefisien korelasi sebesar 0,659 dan nilai signifikansi 0,020 (p < 0,05). Analisis regresi menunjukkan bahwa curah hujan memberikan kontribusi sebesar 43,5% terhadap variasi kejadian banjir. Kejadian banjir cenderung terjadi pada awal dan akhir tahun, terutama pada bulan Januari, April, Oktober, November, dan Desember. Kata kunci: Curah Hujan, Variabilitas, Banjir, Korelasi, Pekanbaru.
Co-Authors - Hamdi Abda Abda Aditio, Rama Agil Fauziyah Ahmad Fajrin Ahmad Fauzi Ahmad Fauzi Akmam Akmam Akmam Amali Putra Amirullah, Fajar Fikri Andini, Ulvia Sepra Andriani, Welli Annisa Rahma Jelita Asrizal Asrizal Auliyaa Adzka Delima Putri Denandra, Alza Dhea Fitria Elizha, Zellvia Emiliannur Emiliannur Emriska, Vellya Ramadhani Fadhila Ulfa Jhora Farras Drasih, Nabilah Fatni Mufit Fauzi Ahmad Muda Festiyed Florentina Simalango, Nora Fortuna, Aprilla Fuja Novitra Gusnedi Gusnedi Hamdi Hamdi Hamdi Hamdi Hamdi Hamdi Rifai Handayani, Silvia Sri Harman Amir hidayanti, hidayanti Hidayati Hidayati Hidayati Hidayati Hufri Hufri Husna, Azmi Asmaul Ikram, Riziqul Kiroomin Barorotin Muji Kolotosa, Julio Fadjar lara agustia Madinah, Nur Mahrizal Mahrizal Maidani, Delvi Putri Marlina Alimir Mesi, Mesi Mia Cahyanti Muhammad Hafiz Murtiani Murtiani Mutiara Novichri, Viona Nengsih, Reni Fitria Nofi Yendri Sudiar Nur Azizah Percindira, Ella Dwi Putri Dwi Sari Putri Dwi Sundari Putri, Ulfa Haldiani Putri, Zakiah Putri Rahmat Hidayat Rahmy Novia Ramli Ramli Ratnawulan . Renol Afrizon Resa, Jerrifel Rata Resi Silvianis Resti Sundari rina, rina novita Salsabila, Salsabila Saqilah, Alya Sari, Nurul Fadillah Silvi Yulia Sari Siska Fitri Alwi Sri Ayu Wahyuni Sudiar, Novi Yendri Syafri Syafriani Syafriani Syafriani Syafriani Syafriani, Syafriani Syafriani, - Tati Herlina Ulfa Jhora, Fadhila Wahyu Ramadhan Wahyuni Satria Dewi Wulandari, Mia Yana Ramadhani Yendri Sudiar, Nofi Yurnetti Yurnetti Yusrila, Yoga Zainul Adha Zatil Ismah, Amirah Zikri, Ahmad Raihan zu, Zurahma Zulhendra Zulhendra