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All Journal ComEngApp : Computer Engineering and Applications Journal VALENSI JURNAL KIMIA SAINS DAN APLIKASI Jurnal Natur Indonesia Teknika SEMIRATA 2015 Jurnal CoreIT Indonesian Journal of Chemistry JSFK (Jurnal Sains Farmasi & Klinis) JURNAL PHOTON JURNAL PENDIDIKAN TAMBUSAI J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Building of Informatics, Technology and Science Jurnal Yustitia JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Pengabdian kepada Masyarakat Nusantara Information System Journal (INFOS) Aksara: Jurnal Ilmiah Pendidikan Bahasa dan Sastra Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer JUSTIN (Jurnal Sistem dan Teknologi Informasi) Dinamika Lingkungan Indonesia Makara Journal of Science Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Counseling and Humanities Review Jurnal Aplikasi IPTEK Indonesia AHKAM : Jurnal Hukum Islam dan Humaniora Mestaka: Jurnal Pengabdian Kepada Masyarakat Journal Of Artificial Intelligence And Software Engineering Journal of Hypermedia & Technology-Enhanced Learning Jurnal Kesehatan Masyarakat
Jasril Jasril
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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Microwave-assisted synthesis of 1-(4-hydroxyphenyl)-3-(4-methoxyphenyl)prop-2-en-1-one and its activities as an antioxidant, sunscreen, and antibacterial Ihsan Ikhtiarudin; Nesa Agistia; Neni Frimayanti; Tria Harlianti; Jasril Jasril
Jurnal Kimia Sains dan Aplikasi Vol 23, No 2 (2020): Volume 23 Issue 2 Year 2020
Publisher : Chemistry Department, Faculty of Sciences and Mathematics, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (569.264 KB) | DOI: 10.14710/jksa.23.2.51-60

Abstract

Chalcone analogs have been reported to have a variety of exciting biological activities, such as anticancer, anti-inflammatory, antioxidant, photoprotective, antibacterial, and antidiabetic activities. Therefore, analogs of these compounds have been widely synthesized as intermediate compounds or target molecules in the discovery of bioactive compounds to be applied in the pharmaceutical field. The purpose of this study is to synthesize chalcone analog compounds (E)-1-(4-hydroxyphenyl)-3-(4-methoxyphenyl) prop-2-en-1-on with the microwave irradiation method and explore some of the biological activities of these compounds, including testing the antioxidant activity by 1,1-diphenyl-2-picrylhydrazyl (DPPH) method, in vitro sunscreen activity by microplate method, and antibacterial activity by disk diffusion method. DPPH test results indicate that the compound has weak antioxidant activity, with an IC50 value of 300.43 µg/mL. However, the compound showed excellent potential as a UV B and UV A filter at a concentration of 150 µg/mL with a value of %Te of 0.73±0.10% (sunblock), %Tp of 0.07±0.00% (sunblock), SPF value of 21.10±1.46 (ultra-protection) and potentially better than benzophenone-3 as a standard sunscreen. Then, disk diffusion testing showed that the compound had weak antibacterial activity against Staphylococcus aureus and did not show antibacterial activity against Escherichia coli bacteria at test concentrations of 30, 60, and 120 µg/disk.
Bio-insecticide’s Extract of Scented Root (Polygala paniculata) in Controlling the Mosquito Aedes aegypti (L.) Wahyuni, Denai; Sari, Nila Puspita; Jasril, Jasril; Syahri, Jufrizal
Makara Journal of Science Vol. 26, No. 2
Publisher : UI Scholars Hub

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

Abstract

Controlling Aedes aegypti mosquitoes with chemical insecticides causes resistance on humans, environmental residues, and contaminates food and water. Polygala paniculata is a potential alternative to insecticides in controlling Ae. aegypti. This study aimed to determine the effect of the Insecticide Score of P. paniculata extracts on the mortality of Ae. aegypti mosquitoes based on KT50. A total of 20 mosquitoes for each concentration were used to examine the effectiveness of 10%, 15%, 20%, and 25% concentration of P. paniculata extracts compared to a positive and a negative control with four replications. The results showed that P. paniculata extracts had an effect on Aeaegypti mosquito mortality. There were significant differences in mortality rate between concentrations (Kruskal-Wallis test, p = 0.001). Spearman Correlation test gave a p-value of 0.008 < 0.05. Similarly, there was a weak but significant correlation between plant extract concentration and mortality (Spearman correlation: r = +0.312, p = 0.008). The 10% and 15% concentrations had KT50with Insecticide Scores of 1 and 2, respectively, implying that both had no knockdown effect. A 20% concentration had a KT50 with an Insecticide Score of 3, indicating a weak knockdown effect, whereas a 25% concentration had KT50with an Insecticide Score of 5, signifying a quick knockdown effect. These results show that a 25% concentration has a quick knockdown time on Ae. aegypti mosquitoes. Therefore, extract P. paniculata extract at a concentration of 25% has a potential for use as a bio-insecticide in controlling Ae. aegypti mosquitoes.
Pengenalan Minyak Alpukat di SMKN 8 Pekanbaru Riryn Novianty; Jasril; Muhdarina; Silvera Devy; Yuharmen; Nuraini Ramadhani
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 2 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v4i2.1155

Abstract

SMKN 8 Pekanbaru merupakam salah satu sekolah yang harus melaksanakan pembelajaran online selama COVID-19. Salah satu jurusan yang paling diminati adalah jurusan tataboga yang mempelajari terkait dengan seni dalam menyiapkan, memasak dan menghidangkan makanan siap saji. Sehingga siswa diharuskan memiliki pengetahuan dalam ilmu pangan, nutrisi dan diet serta memiliki kreativitas dalam menyiapkan makanan yang menarik untuk dilihat. Adapun zat makanan yang penting dalam bidang kuliner dan diperlukan oleh tubuh adalah minyak. Minyak yang paling banyak digunakan adalah minyak dari pangan nabati. Hal ini dikarenakan minyak nabati memiliki nutrisi yang baik dan berpengaruh terhadap rasa maupun aroma pada makanan. satu jenis pangan nabati yang jarang untuk diolah dan digunakan sebagai minyak adalah buah alpukat. Berdasarkan literatur minyak pada buah alpukat banyak mengandung omega-3 selain itu, memiliki nutty quality dibandingkan dengan minyak zaitun tetapi agak sedikit grassy bite, sehingga sangat ideal untuk digunakan sebagai minyak untuk menumis, menggoreng ataupun ditambahkan pada makanan (seperti salad). Selain itu minyak alpukat juga sangat bermanfaat untuk kesehatan seperti untuk perawatan rambut, kulit, menurunkan kadar low density lipoprotein (LDL) dan lain sebagainya. pengenalan minyak alpukat telah dilakukan secara luring kepada siswa tataboga di SMKN 8 Pekanbaru. Tim pengabdian melakukan demostrasi cara pembuatan minyak alpukat dan memberikan buah alpukat kepada peserta agar dapat dipraktekkan secara langsung. serta mampu meninggkatkan keterampilan siswa dalam mengolah makanan.
Penyuluhan Pemanfaatan Daun Sambiloto (Andrographis paniculata) sebagai Imunostimulan di Puskesmas Simpang Tiga Pekanbaru Riryn Novianty; Jasril; Silvera Devy; Muhdarina
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 4 No. 1 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v4i2.1157

Abstract

Pandemi tak kunjung berakhir dan lonjakan kasus terkonfirmasi positif setiap harinya bertambah dan tidak seluruhnya dirawat di rumah sakit, karena keterbatasan fasilitas perawatan. Bagi penderita yang tidak bergejala hingga yang bergejala ringan dianjurkan untuk melakukan isolasi mandiri disertai dengan resep dokter. Imunostimulan komplementer diperlukan untuk segera mengembalikan sistem imun tubuh agar dapat sembuh lebih cepat dibandingkan hanya dengan mengonsumsi obat resep dokter. Daun sambiloto (Andrographis paniculata) merupakan salah satu imunostimulan yang efektif untuk mengobati penderita COVID-19, tidak hanya untuk mengobati akan tetapi daun sambiloto juga dapat dimanfaatkan sebagai immune booster. Kegiatan pengabdian dengan memberikan penyuluhan secara luring kepada pasien dan Tim PROMKES (Promosi Kesehatan) Puskesmas Simpang Tiga Kota Pekanbaru. Tim pengabdian memberikan sejumlah bibit sambiloto, sambiloto kering dan madu kepada peserta pengabdian agar dapat menjadikan sambiloto sebagai Tanaman Obat Keluarga (TOGA) dan dapat meracik sendiri ramuan herbal sambiloto demi menjaga sistem imun di tengah pandemi.
Implementasi Metode Learning Vector Quantization (LVQ) Untuk Klasifikasi Keluarga Beresiko Stunting Aziz, Abdul; Insani, Fitri; Jasril, Jasril; Syafria, Fadhilah
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3478

Abstract

Stunting is a condition where a child's height is too short compared to children of the same age. This condition affects the health of toddlers in the short and long term, such as suboptimal body posture in adulthood, decreased reproductive health, and decreased learning capacity, resulting in suboptimal performance in school. One of the causes of stunting is a lack of nutrition, basic health facilities, and poor parenting practices. However, the current data collection and classification of families at risk of stunting still use Microsoft Excel, which is ineffective in processing large data. Therefore, the LVQ method, which is an improvement of the Vector Quantization method, is used to accelerate the classification process. In this study, 5 parameters were tested, and the optimal result was achieved by using 7 input neurons, Chebychev distance as the distance measure, a learning rate of 0.1, 7 epochs, and 30% of training data. With these parameters, an accuracy of 99.38% was obtained. Based on these results, the LVQ method can help improve accuracy in classifying families at risk of stunting
Sistem Klasifikasi Penyakit Jantung Menggunakan Teknik Pendekatan SMOTE Pada Algoritma Modified K-Nearest Neighbor Novitasari, Fitria; Haerani, Elin; Nazir, Alwis; Jasril, Jasril; Insani, Fitri
Building of Informatics, Technology and Science (BITS) Vol 5 No 1 (2023): June 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v5i1.3610

Abstract

The heart is a vital organ that plays a crucial role in pumping oxygenated blood and nutrients throughout the body. Heart disease refers to damage to the heart that can occur in various forms, caused by infections or congenital abnormalities. The World Health Organization (WHO) reports nearly 17.9 million deaths each year due to heart disease. In Indonesia, the prevalence of heart disease is around 1.5%, meaning that in 2018, approximately 15 out of 1,000 people, or nearly 2,784,060 individuals, were affected by this disease, according to the Basic Health Research data (Riskesdas) 2018. Many people have limited knowledge about heart health, leading to a lack of awareness of their heart conditions. This can be attributed to a lack of understanding regarding the importance of medical checkups related to heart health. Modified K-Nearest Neighbors (MKNN) is one of the data mining methods applied for classifying the risk of heart disease. The research utilized data obtained from the UCI dataset repository, which consists of 918 records with 12 attributes. To balance the imbalanced dataset with minority classes, the Synthetic Minority Over-sampling Technique (SMOTE) approach was used to generate new synthetic samples from the minority class. The objective of developing a web-based system for heart disease classification is to assist the public in assessing their risk of heart disease as early as possible, enabling them to take preventive actions sooner. The accuracy results of the MKNN algorithm with a 90:10 ratio are 80.37%, while with the MKNN+SMOTE approach, the accuracy increased to 84.00%. The use of the SMOTE approach improved the accuracy of low-performing data.
The Implementation of the Potensia Apps for Online Psychological Assessment during the Pandemic for Highschool Students in West Sumatra Ardi, Zadrian; Jasril, Ilmiyati Rahmy; Yendi, Frischa Meivilona; Guspriadi, Yan
Jurnal Aplikasi IPTEK Indonesia Vol 6, No 2 (2022)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20364.358 KB) | DOI: 10.24036/4.26516

Abstract

Psychological assessment is an essential aspect of the implementation of counseling services. However, efforts to study needs by school counselors have yet to be optimal. The impact is the preparation of counseling service programs, and the level of accuracy in disclosing the psychological conditions of students and clients decreases. The process of downstream and disseminating the results of this research was carried out through community service activities to increase the distribution and utilization of research results for guidance and counseling teachers in Indonesia. This activity was carried out within two years. The method used is advanced training for school counselors in all districts/cities in West Sumatra with a focus on several schools appointed by partners, upgrading applications based on FGDs, improving application management, and commercializing the POTENSIA Android application. So far, the achievements and progress of program implementation have been the implementation of activities by presenting more than 60 school counselors from all over West Sumatra using the workshop method.
Implementasi Aplikasi “KONSELO” sebagai Multi-Platform Konseling Online Berbasis Sustainable Development Goals (SDGs) untuk Mereduksi Stres Akademik Mahasiswa bagi Konselor Perguruan Tinggi Negeri di Sumatera Barat Ardi, Zadrian; Jasril, Ilmiyati Rahmy; Yendi, Frischa Meivilona; Adlya, Soeci Izzati; Putra, Ade Herdian; Guspriadi, Yan
Jurnal Aplikasi IPTEK Indonesia Vol 7, No 2 (2023)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/4.00840

Abstract

Academic stress can interfere with students studying in college. One effort that can be made to help students overcome academic stress is through online counseling services. Online counseling can be carried out effectively and efficiently if complete and adequate features support it. KONSELO is a product that we developed to meet the effectiveness and efficiency of implementing online counseling. To improve counselors' abilities in using the KONSELO application, Community Service activities are carried out through workshops and assistance in using KONSELO. Counselors who can operate the KONSELO application can use KONSELO as support for implementing counseling services in higher education to help students overcome academic stress.
The Turbofan Engine Remaining Useful Life Prediction Using 1-Dimentional Convolutional Neural Network Fauzan, Ahmad; Handayani, Lestari; Insani, Fitri; Jasril, Jasril; Sanjaya, Suwanto
Computer Engineering and Applications Journal Vol 13 No 03 (2024)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v13i03.484

Abstract

Turbofan engines have been the dominant type of engine in aircraft for the last forty years. Ensuring the quality of these engines is crucial for flight safety, particularly for long-distance flights. However, their performance degrades over time, impacting flight safety. To address this issue, it is essential to predict potential engine failures by estimating the Remaining Useful Life (RUL) of the engines Deep learning, especially Convolutional Neural Networks (CNNs), has demonstrated exceptional proficiency in handling intricate, non-linear data, leading to improved RUL predictionsdue to their ability to process complex and non-linear data. In this project, a 1-D CNN is used to predict RUL using the NASA C-MAPSS FD001 dataset, which consists of 3 settings and 21 sensors, though sensors with stagnant readings are excluded. The dataset is normalized using min-max and z-score methods, and then segmented into sequences for input into the 1-D CNN model. Various training scenarios were evaluated, with the best RMSE of 3.26 achieved using 10 epochs, a learning rate of 0.0001, and z-score normalization. The results indicate that feature selection can produce a lower RMSE compared to scenarios without feature selection.
Exploring the Impact of the STAD Cooperative Learning Model on Learning Outcomes in Vocational High Schools Yeni, Wila Mutiara; Jasril, Ilmiyati Rahmy; Anori, Sartika; Işık, Kenan; Wan, Xue
Journal of Hypermedia & Technology-Enhanced Learning Vol. 1 No. 3 (2023): Journal of Hypermedia & Technology-Enhanced Learning—Book Haven
Publisher : Sagamedia Teknologi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58536/j-hytel.v1i3.92

Abstract

This study examines the impact of the Student Team Achievement Division (STAD) cooperative learning model on student learning outcomes in technical education, specifically focusing on "The Application of Electronic Circuits" at SMKN 1 Sutera. The study employed a quasi-experimental design in which two classes were selected as samples: an experimental group taught using the STAD model and a control group utilizing direct instruction. Posttest results revealed that the experimental group achieved significantly higher average scores (80.00) compared to the control group (71.43), with a lower standard deviation (9.40) indicating more consistent learning outcomes. Normality and homogeneity tests confirmed the validity of the dataset, while hypothesis testing (tcalculated = 5.73, ttable = 1.679, α = 0.05) demonstrated the significant effectiveness of the STAD model. The findings highlight STAD’s ability to foster collaboration, inclusivity, and equitable learning, effectively bridging theoretical knowledge and practical skills gaps. This research addresses a gap in the application of cooperative learning models within technical education and offers actionable insights for enhancing teaching strategies in vocational contexts. Future studies should explore the long-term effects of STAD on skill application, student motivation, and knowledge retention, contributing to the broader discourse on innovative pedagogical approaches in education.
Co-Authors - Aisyah - Nurlaili -, Sulismayati Abdul Aziz Adel Zamri Adel Zamri Afrita, Indra agistia, nesa Agustian, Surya Ahmad Fauzan Aisyah Aisyah Aisyah, - Akbar, Unggul Al Fiqri, M. Faiz Alfarabi.B, Alif Ananda, Sherly Anggita, Anggi Fisi Anori, Sartika Aprilia, Tasya Asmawati Asmawati Bintal Amin Christine Jose Christine Jose Darian Alfatos Delsina Faiza Denai Wahyuni Denai Wahyuni Desviana, Laila Dewi, Erna Puspita Elin Haerani Elka Yuslinda Elvia Budianita Elviyenti, Elviyenti Fadhilah Syafria Fawrin, Heralda Fernando, Rivan Fiffah, Chainul Fitri Insani Fitria Novitasari Frischa Meivilona Yendi Guspriadi, Yan Haiyul Fadhli Haresman, Haresman Hasmalina Nasution Hendra, Rudi Hilwan Yuda Teruna Ihsan Ikhtiarudin Ikhtiaruddin, Ihsan Indah Wulandari Işık, Kenan Isnaniar Iswantir M Iwan Iskandar Jufrizal Syahri Kurnia Gusti, Siska Laila Desviana Lestari Handayani Mar'arif, Muhammad Mulky Masykur HZ Masykur Hz Muhammad Affandes, Muhammad Muhammad Irsyad Muhdarina Muhdarina Muhdarina Muliani, Sarifah Muslim Syaifullah, Mhd Nazir, Alwis Nazruddin Safaat H Negara, Benny Sukma Neni Frimayanti Novianty, Riryn Nuraini Ramadhani Nurhayati Nurlaili Nurlaili Nurlaili, - Oktavia, Lola Pranata, Joni Prasetya Prasetya, Prasetya Putra, Ade Herdian Putra, Rido Rahayu, Anggi Putri Rahma Dona Rahmadini Syafri Rahmita, Rahmita Rahmiwati Hilma Ramadhani, Eka Ramadhani, Siti Rudi Hendra Sardi, Hajra Sari, Meidita Kemala Sari, Nila Puspita Silvera Devy Siregar, Sri Hilma Soeci Izzati Adlya Sofyan Husein Siregar Sulismayati - Suwanto Sanjaya Sya'ban, Andrian Nur Thamrin Tri Windarti Tri Windarti Tria Harlianti Triana, Yeni Veithzal Rivai Zainal Wan, Xue Wenni, Osriza Wulan Sari, Wulan Yasthophi, Arif Yeni, Wila Mutiara Yuana Nurulita Yuca, Verlanda Yuharmen - Yum Eryanti Yuni Fatisa Zadrian Ardi Zahra, Fadhila Az Zahri, Firman