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All Journal Jurnal Ilmu Dasar Publika Budaya Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Science and Technology Indonesia PRISMA Jurnal Teori dan Aplikasi Fisika Jurnal Fisika Indonesia Jurnal Pembangunan dan Kebijakan Publik Buguh: Jurnal Pengabdian Kepada Masyarakat Journal of Energy, Material, and Instrumentation Technology BIOVALENTIA: Biological Research Journal Indonesian Journal of Community Empowerment AbdimasMu UMTAS: Journal of Community Service PIJAR: Jurnal Pendidikan dan Pengajaran Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis Gudang Jurnal Multidisiplin Ilmu Jurnal Pembangunan dan Kebijakan Publik Journal of Community Service (Abdisci)
Yanti Yulianti
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Penerapan Jaringan Saraf Tiruan / JST (Backpropagation) untuk Prakiraan Cuaca di Bandar Udara Radin Inten II Lampung Adi Saputra; Sri Ratna Sulistiyanti; Roniyus Marjunus; Yanti Yulianti; Junaidi Junaidi; Arif Surtono
Jurnal Teori dan Aplikasi Fisika Vol 11, No 1 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i1.3164

Abstract

Prediksi cuaca diperlukan dalam perencanaan kehidupan sehari-hari, salah satunya untuk membuat keputusan. Keberhasilan dari suatu prediksi cuaca akan berdampak pada pengambilan keputusan di berbagai bidang, antara lain pada bidang pertanian dan penerbangan. Pada bidang penerbangan, prediksi cuaca penting untuk menentukan waktu, lokasi, arah gerak, ketinggian serta merencanakan pergerakan pesawat untuk memperhitungkan gangguan operasi yang dapat disebabkan jika cuaca sedang buruk dan juga untuk mempertimbangkan dalam menentukan rute penerbangan atau menentukan dalam membawa tambahan bahan bakar jika dalam suatu kasus pesawat harus kembali dikarenakan kondisi cuaca yang tidak memungkinkan. Oleh karena itu perlunya sebuah metode prediksi cuaca yang baik sehingga dapat mengurangi kerugian dan kerusakan. Parameter maksimum dalam pengembangan perancangan informasi prakiraan cuaca berbasis Jaringan Saraf Tiruan / JST (Backpropagation) dengan menambah inputan data curah hujan, suhu, kelembaban, penyinaran matahari, tekanan udara, arah angin dan kecepatan angin. Penelitian ini dilakukan di wilayah Bandar Udara Radin Inten II Lampung. Data yang digunakan dalam penelitian ini adalah berupa data harian kondisi meteorologi di wilayah Bandar Udara Radin Inten II Lampung dari Stasiun Meteorologi Radin Inten II selama 3 tahun terakhir yaitu dari tahun 2017 hingga tahun 2019. Data tersebut dibutuhkan sebagai data masukan untuk algoritma yang akan digunakan dalam penelitian. Berdasarkan pada hasil penelitian, diperoleh akurasi pelatihan terbaik sebesar 100% pada arsitektur jaringan syaraf tiruan dengan parameter fungsi pelatihan levenberg-marquardt (trainlm) dan scaled conjugate gradient (trainscg), fungsi aktivasi sigmoid biner dan sigmoid bipolar, dan jumlah neuron 20, 40, 60, 80, dan 100. Sedangkan akurasi pengujian terbaik sebesar 74.359% pada arsitektur jaringan syaraf tiruan dengan parameter fungsi pelatihan gradient descent wit momentum and adaptive learning rate (traingdx) dan fungsi aktivasi sigmoid biner (logsig) dan jumlah neuron 20 dan 80.Kata kunci: Penerapan Jaringan Saraf Tiruan, Prakiraan Cuaca, Bandar Udara Radin Inten II Lampung.Weather prediction is needed in planning daily life, one of which is to make decisions. The success of a weather prediction will have an impact on decision making in various fields, including agriculture and aviation. In the field of aviation, weather prediction is important to determine the time, location, direction of motion, altitude and plan the movement of aircraft to take into account operational disturbances that can be caused if the weather is bad and also to consider in determining flight routes or determining in carrying additional fuel if in an emergency. In the case of the aircraft having to return due to unfavorable weather conditions. Therefore the need for a good weather prediction method so as to reduce losses and damage. In this case the author tries to focus on the maximum parameters in the development of weather forecasting information design based on Artificial Neural Networks / Backpropagation by adding input data of rainfall, temperature, humidity, sunlight, air pressure, wind direction and wind speed. This research was conducted in the area of Radin Inten II Airport, Lampung. The material used in this study is in the form of daily data on meteorological conditions in the Radin Inten II Lampung Airport area from the Radin Inten II Meteorological Station for the last 3 years, from 2017 to 2019. This data is needed as input data for the algorithm that will be used in study. Based on the research results, the best training accuracy is 100% on the artificial neural network architecture with levenberg-marquardt training function parameters (trainlm) and scaled conjugate gradient (trainscg), binary sigmoid and bipolar sigmoid activation functions, and the number of neurons 20, 40, 60, 80, and 100. Meanwhile, the best test accuracy is 74,359% on the artificial neural network architecture with the training function parameters gradient descent wit momentum and adaptive learning rate (trainingdx) and binary sigmoid activation function (logsig) and the number of neurons 20 and 80. Keywords: Application of Artificial Neural Networks, Weather Forecast, Radin Inten II Airport Lampung
PEMBUATAN NANOSELULOSA DARI KAYU LUNAK PINUS (Pinus merkusii) MENGGUNAKAN METODE HIDROLISIS ASAM Anggraini, Anisyah; Manurung, Posman; Suciyati, Sri Wahyu; Yulianti, Yanti
Journal of Energy, Material, and Instrumentation Technology Vol 4 No 4 (2023): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v4i4.186

Abstract

Study on Crystal Structure, Surface Area, and Energy Gap Behaviors of Nanotitania Polymorphs Prepared Using Monoethanolamine Manurung, Posman; Maharani, Renita; Rahmayanti, Dita; Yulianti, Yanti; Junaidi; Marjunus, Ronius
Science and Technology Indonesia Vol. 9 No. 2 (2024): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2024.9.2.345-353

Abstract

Polymorphous nanotitania samples were prepared from titanium butoxide (TTB) as a precursor using sol-gel processing in ethanol as a solvent, without and with monoethanolamine (MEA). The experiments used 5.25 mL TTB and MEA with varied volumes of 0.5, 1.0, 1.5, and 2.0 mL. The sample without MEA was specified as sample A, and the samples produced using MEA were specified as samples B, C, D, and E, respectively. All samples were calcined at 500 °C for 4 h and then collected data by X-ray Diffraction (XRD), the Brunauer-Emmett-Teller (BET) method used to analyze Surface Area Analyzer (SAA), Transmission Electron Microscopy (TEM), Raman Spectroscopy, and UV-Visible Diffuse Reflectance Spectroscopy (UV-Vis DRS). The results of XRD characterization indicate that samples A and B form anatase phase, while samples C and D are composed of anatase, brookite, and rutile phases, and sample E is consisted of anatase and brookite phases with weight percentages of (94.53 ± 1.72) % and (5.47 ± 0.36) %, respectively. The presence of the three phases of titania is also confirmed by Raman spectroscopy analysis, which showed anatase peaks at 146, 197, 398, and 513 cm-1, brookite peaks at 245 and 402 cm-1, and rutile peaks at 319, 436, and 612 cm-1. According to XRD, the samples have the particle size in the range of 14-19 nm. A representative sample (sample C) was also characterized using TEM, revealing a particle size of 16.0 ± 0.3 nm. This representative sample revealed the largest surface area of 172.2 m2/g, as seen by BET, and the lowest energy gap of 3.03 eV.
Internalisasi Nilai-Nilai Disiplin Siswa di SDN Taman Pagelaran Kabupaten Bogor Yanti Yulianti
PIJAR: Jurnal Pendidikan dan Pengajaran Vol. 1 No. 2 (2023): April
Publisher : CV Putra Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58540/pijar.v1i2.423

Abstract

This study aims to determine the internalization of students' disciplinary character values at SDN Taman Pagelaran Bogor Regency. The approach used in this study is a qualitative approach with a phenomenalogical type of research. Data collection techniques are carried out through observation, interviews, and documentation. Data analysis techniques are carried out through data reduction, data display, and verification. The results showed that: 1.) The efforts of SDN Taman Pagelaran Bogor Regency in improving the character of student discipline are starting from a school policy, the enforcement of the rules of SDN Taman Pagelaran Bogor Regency, discipline by forming a disciplinary enforcement team, instilling discipline awareness in students by applying discipline attitudes every day so that it becomes a habit, instilling a disciplined character through several activities; 2.) The implementation of internalization of students' disciplinary character values at SDN Taman Pagelaran Bogor Regency is instilled through several activities including: Introduction Week, Monday ceremony, morning tadarus and extracurricular; 3.) The results of internalizing the disciplinary character of students at SDN Taman Pagelaran Bogor Regency are: students are more orderly &aware of discipline and the activities of SDN Taman Pagelaran Bogor Regency run smooth.
Self-Confidence Through Canva Aplication, Wordwall and Ular Tangga in Solving Algebra Problems Maryati, Iyam; Yulianti, Yanti
PRISMA Vol 13, No 2 (2024): PRISMA
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jp.v13i2.4084

Abstract

Self-confidence is a positive attitude that is the most important basic capital in a person to be able to develop his abilities to achieve whatever he wants and can do, both towards himself and the environment or situations he faces, including in learning. However, the Trends in International Mathematics and Science Study (TIMSS) data indicates that Indonesian students' self-confidence still needs to improve by at least 30%. This study assesses junior high school students' confidence in solving algebraic problems. This study employs a qualitative, descriptive research methodology. To analyse the data, conclusions were drawn, and the percentage of students who used the Canva app, Wordwall, and the Ular tangga game to gain confidence in their ability to solve algebraic problems was described. Thirty-six junior high school students in class VII served as the research subjects. Cognitive test sheets and observations were the study tools used. This study looked at four characteristics of self-confidence: 1) Act independently in making decisions; 2) Have a positive self-concept; and 3) Dare to voice thoughts. When choosing the learning models and media to employ in teaching and learning activities, teachers can benefit from the findings of this research. Thus, the Canva application and Wordwall media are able to increase self-confidence in class VII junior high school students.
Use Of E-Ddc to Improve Library Administrative Understanding in MI Jampang – Pangadaran S, Khairunnisa Dimyati; Dwi R, Richa Putri; M, Mohammad Arfan; Mustopa, Egi; F, Rifki Taufik; Renaldi, Topan; F, Sifa Nur; Gita L, Tahnia; Nurul W, Neng Syifa; Hardiyanti, Hani; P, Elysa Sri; Silvia A, Mita; Yulianti, Yanti; Bella M, Annissha; Gundara, Gugun
AbdimasMu UMTAS Vol. 4 No. 1 (2025): AbdimasMu UMTAS: Journal Of Community Service
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/fta5fj90

Abstract

A collection of books with different genres, students can explore various kinds of knowledge. A well-managed book collection can make it easier for students and even school residents to read. The problem found in this school was the lack of teachers who understood the management of library administration so that the arrangement of book collections does not run properly. The role of teachers and librarians who understand in library management is very important so that book collections are recorded and well organized. For this reason, through community service activities, the authors intend to assist teachers in understanding the management of library administration. The activities carried out on August 16 - September 3, 2022. The target of this community service activity is teachers at MI Jampang who can become teachers as well as librarians who can manage library administration in the future. This community service method was in the form of involving several students in rearranging/sorting book collections. The forms of this activity were reordering/sorting books according to genre, classifying books using e-DDC, providing samples of book classification and socializing the use of e-DDC to teachers. This program had three objectives, namely to improve the quality of the library, provide education on how to manage library administration and to facilitate the search for users. The result of this service activity was  that teachers could understand how to manage library administration so that in the future, collections that increased and could only be managed properly. In conclusion, the existence of a library administration management work program at MI Jampang could help teachers to manage book collections in the library so that if it was  managed properly, students could  easily read books according to the genre they wanted  to read.
WORKSHOP MENYELARASKAN KONSEP FISIKA SMA DAN PERGURUAN TINGGI DALAM KURIKULUM MERDEKA BAGI GURU FISIKA SEKOTA METRO : Workshop on Aligning High School and University Physics Concepts within the Merdeka Curriculum for Physics Teachers in Metro City Pauzi, Gurum Ahmad; Yanti Yulianti; Dwi Asmi; Syafriadi
BUGUH: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol. 5 No. 1 (2025): Maret 2025
Publisher : Badan Pelaksana Kuliah Kerja Nyata Universitas Lampung

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

Abstract

Kegiatan pengabdian ini bertujuan untuk menyelaraskan konsep fisika tingkat SMA dengan pembelajaran fisika di perguruan tinggi, serta memperkuat kapasitas guru dalam mengimplementasikan Kurikulum Merdeka secara efektif. Kurikulum ini menuntut pendekatan pembelajaran yang lebih kontekstual, kolaboratif, dan berorientasi pada penguatan kompetensi abad ke-21. Melalui kegiatan workshop yang melibatkan 17 guru fisika dari berbagai SMA di Kota Metro, peserta diberikan pemahaman mendalam mengenai prinsip-prinsip utama Kurikulum Merdeka, penguatan konsep dasar fisika, serta penyusunan perangkat modul ajar yang relevan. Workshop ini tidak hanya berperan sebagai wadah transfer pengetahuan, tetapi juga sebagai forum diskusi aktif yang membuka ruang kolaborasi antara guru dan dosen fisika dari perguruan tinggi. Kegiatan ini terbukti berhasil menjembatani kesenjangan epistemik antara jenjang pendidikan menengah dan tinggi, serta membentuk jejaring profesional yang potensial untuk pengembangan pembelajaran jangka panjang. Evaluasi kegiatan menunjukkan peningkatan pemahaman peserta terhadap penyusunan perangkat ajar dan strategi pembelajaran berbasis projek. Selain itu, teridentifikasi kebutuhan nyata terhadap pendampingan lanjutan, khususnya dalam pengembangan asesmen otentik dan penguatan pembelajaran berbasis fenomena sesuai arah transformasi pendidikan nasional.
Hybrid DFT-ML-MD Approach for Derivation of Lennard-Jones Interatomic Potential Parameters of Al Arkundato, Artoto; Widiasih; Ratnadewi, Anak Agung Istri Ratnadewi; Syah, Khalif Ardian; Yulianti, Yanti
Journal of Energy, Material, and Instrumentation Technology Vol 6 No 2 (2025): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v6i2.306

Abstract

Atomistic simulation based on computational physics of methods is used to develop accurate interatomic potentials based on DFT (density functional theory) data. The accuracy of predicting the physical properties of a material is highly dependent on the quality of the interatomic potential used. The purpose of this study is to determine the Lennard-Jones potential parameters of Al metal (epsilon and sigma) from fitting the DFT simulation output data. The use of a “robust” fitting method to reduce the influence of outliers on the potential results is very important and therefore a machine learning method is used to help find the right potential parameters. The method used is a hybrid method using DFT to generate training data, using ML (machine learning) to fit DFT data to the Lennard-Jones (LJ) potential model, and using the MD (molecular dynamics) method to validate the LJ potential parameters. Python-based programming is applied to facilitate how the three methods can be connected. The results of this study are that Al metal has an epsilon value = 0.5000 eV and sigma Al = 3.2072 Å, with a regression coefficient R2 = 0.9441 so that it can be concluded that this study can be said to be quite good and the hybrid method can be further developed to obtain the LJ potential parameter values of various other materials, especially metals.
Consumer Protection in Live Streaming-Based Commercial Transactions Yanti Yulianti
Gudang Jurnal Multidisiplin Ilmu Vol. 3 No. 6 (2025): GJMI - JUNI
Publisher : PT. Gudang Pustaka Cendekia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/gjmi.v3i6.1650

Abstract

The rapid evolution of digital technologies, particularly live streaming features in e-commerce platforms, has significantly transformed consumer behavior while introducing new risks to consumer protection. Live streaming based commercial transactions often involve real time, visually driven interactions that encourage impulsive purchasing decisions, making traditional regulatory frameworks insufficient. This study aims to analyze the primary factors influencing consumer protection in live commerce settings by examining five core variables: product transparency, platform accountability, perceived risk, consumer trust, and digital literacy. Utilizing a qualitative exploratory approach, this research conducted a comprehensive literature review of 77 international journal articles published between 2020 and 2024. The findings indicate that product transparency and platform accountability are fundamental to enhancing consumer trust and reducing perceived risks, whereas digital literacy acts as a moderating factor that empowers consumers to make informed decisions. The study proposes a conceptual framework that integrates behavioral and regulatory dimensions, offering both theoretical insights and practical implications for improving consumer protection in fast paced, interactive digital marketplaces.
Workshop on Improving Teacher Skills in Designing Project-Based Mathematics Learning to Develop Students' Critical Thinking Skills Sofyan, Deddy; Rosada, Cucu; Rosadi, Dadang; Gandara, Endang; Aryani, Rindu; Yulianti, Yanti; Koswara, Undang; Supiantini, Eulis; Sugandi, Sugandi; Ramdona, Eri Muhammad; Cahyati, Lilis Sri; Ramli, Lili Jaenudin
Indonesian Journal of Community Empowerment (IJCE) Vol 4 No 04 (2023): Indonesian Journal of Community Empowerment (November)
Publisher : Fakultas Kewirausahaan Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35899/ijce.v4i4.1011

Abstract

This community service aimed to enhance mathematics teachers' skills in designing Project-Based Learning (PjBL)to foster students' critical thinking. The workshop, held on October 14, 2023, at SMAN 11 Garut, targeted high school (SMA/SMK) mathematics teachers. Activities included theoretical presentations, hands-on project design, and assessment development. Results showed a significant positive impact on teachers' understanding of PjBL and its link to critical thinking (evidenced by increased pre-test/post-test scores). Teachers also demonstrated improved practical skills in designing relevant math projects and authentic assessments, alongside a heightened awareness of critical thinking's importance. While recognizing potentials and challenges in PjBL implementation, the workshop boosted teacher confidence and motivation. This is a crucial step toward more meaningful math education and developing future-ready critical thinkers, with continued mentoring recommended for sustained impact.
Co-Authors Adi Saputra Agung Abadi Kiswandono AGUS RIYANTO Agus Riyanto Alimudin, Salih Anggraini, Adeliya Ayu Anggraini, Anisyah Artoto Arkundato Aryani, Rindu Bambang Samsu Badriyanto Bambang Samsu Badriyanto Bella M, Annissha Budiman, Shirin Salman Cahyati, Lilis Sri Dadang Rosadi, Dadang Deddy Sofyan, Deddy Dwi Asmi Dwi Asmi Dwi R, Richa Putri Edi Santoso Eko Agus Srihanto, Eko Agus Elly Lestari Rustiati Erdi Suroso F, Rifki Taufik F, Sifa Nur Gandara, Endang Gita L, Tahnia Gugun Gundara, Gugun Hardiyanti, Hani Hendriawan, Hendri Iqbal Firdaus IYAM MARYATI Junaidi Junaidi Junaidi Junaidi Koswara, Undang Krismuniarti, Elisabeth Devi M, Mohammad Arfan Maharani, Renita Marjunus, Ronius Marjunus, Roniyus Mulyana, Yana Rahmat Mustopa, Egi Nasta Melia Dilaga Novianasari, Tika Nuraripin, Ahmad Nurhadi Sasmita Nurul W, Neng Syifa P, Elysa Sri Pauzi, Gurum Ahmad Posman Manurung Pratiwi, Dian Neli Priyambodo Priyambodo Priyambodo Priyambodo Rahmayanti, Dita Ramdona, Eri Muhammad Ramli, Lili Jaenudin Ratnadewi, Anak Agung Istri Ratnadewi Renaldi, Topan Riftaul Kurniawati Rina Utami Risdha Ayu Shinta Dewi Rosada, Cucu S, Khairunnisa Dimyati Saswiyanti, Enny Silvia A, Mita Siska Wulandari Sri Bawani Sri Ratna Sulistiyanti Sri Wahyu Suciyati Sugandi, Sugandi Supiantini, Eulis Surtono, Arif Syafriadi Syah, Khalif Ardian Virnarenata, Elsa Widiasih Yosini Deliana