Article Per Year (5 Year)
p-Index From 2021 - 2026
5.216
P-Index
This Author published in this journals
All Journal POSITRON JURNAL TEKNOLOGI LINGKUNGAN Indonesian Journal of Applied Linguistics (IJAL) Media Komunikasi Geografi Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Fisika Unand Jurnal Spektra JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Jurnal Ilmiah Pendidikan Pancasila dan Kewarganegaraan KAREBA : Jurnal Ilmu Komunikasi Sistemasi: Jurnal Sistem Informasi Omni-Akuatika INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi LLT Journal: A Journal on Language and Language Teaching Indonesian Fisheries Research Journal JURNAL PENDIDIKAN TAMBUSAI JEES: Journal of English Educational Study JISIP: Jurnal Ilmu Sosial dan Pendidikan Building of Informatics, Technology and Science Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Journal of English Language Teaching Innovations and Materials (Jeltim) Hermeneutika : Jurnal Ilmu Hukum Jurnal Abdi Insani Ethical Lingua: Journal of Language Teaching and Literature JOLLT Journal of Languages and Language Teaching Journal of Global Sustainable Agriculture Empiricism Journal International Journal Software Engineering and Computer Science (IJSECS) Makara Journal of Science Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Tarreang: Tren Pengabdian Masyarakat Agrokompleks Jurnal Pendidikan Progresif
Edi Suharyadi
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Arts Humanities 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

Published : 40 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 40 Documents
Search

 1   2   3   4 
Application of Eco-Friendly MnFe2O4/TiO2 Nanocomposites for the Photocatalytic Degradation of Methylene Blue Rahardian, Renaldy Baptista; Sari, Emi Kurnia; Istiqomah, Nurul Imani; Suharyadi, Edi; Wibowo, Nur Aji
POSITRON Vol 14, No 2 (2024): Vol. 14 No. 2 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v14i2.81999

Abstract

Methylene blue (MB) is a dye commonly utilized in the textile sector. Methylene Blue is an organic compound that readily dissolves in water, facilitating its transport with industrial liquid waste. Due to its non-biodegradable nature, it causes environmental pollution, especially in water sources. The study simulates industrial dye degradation using the green-synthesized MnFe2O4/TiO2 nanocomposites with Moringa Oleifera extract, using varying mass masses for photocatalytic tests. The co-precipitation method was employed to produce magnetic nanoparticles at the nanoscale. X-ray diffraction (XRD) analysis showed a crystalline size of 13.3 nm, while the Fourier Transform Infrared (FTIR) spectroscopy validated the existence of Mn-O, Fe-O, and Ti-O functional groups at wave numbers of 439.1 cm-1, 587.1 cm-1, and 586.8 cm-1, respectively, confirming the successful synthesis of the MnFe2O4/TiO2 nanocomposite. The band gap of the nanocomposite was determined to be 2.9 eV. Using UV light, the photocatalytic process successfully degraded the methylene blue, achieving a 99.9% reduction within 20 minutes, with the optimal mass being 0.02 grams. Additionally, the MnFe2O4/TiO2 nanocomposite demonstrated reusability due to its ease of separation from the reaction solution.
Characterization of Crystal Structures and Magnetic Properties of Polyethylene Glycol (PEG-4000) and Silica Encapsulated Mn0.5Zn0.5Fe2O4 Nanoparticles Laisina, Edwin; Suharyadi, Edi
Empiricism Journal Vol. 5 No. 2: December 2024
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ej.v5i2.2273

Abstract

In this research has been successfully Mn0.5Zn0.5Fe2O4 nanoparticles synthesis using co-precipitation method and their encapsulation by varying the concentration of polyethylene glycol (PEG-4000) and silica. The result of X-Ray Diffraction (XRD) characterization showed that Mn0.5Zn0.5Fe2O4 nanoparticles was mix spinel crystal structure. There was a phase other than Mn0.5Zn0.5Fe2O4 phase synthesized that a-Fe2O3 phase before and after encapsulated with PEG-4000 and silica. Encapsulation of silica has showed a new diffraction peak (222) because silica was crystal. Mn0.5Zn0.5Fe2O4 particle size before and after encapsulated with PEG-4000 (50% concentration) and silica (50% concentration) was 27.28±0.26 nm; 19.13±0.13 nm and 32.75±0.55 nm, respectively. The result of Transmission Electron Microscopy (TEM) characterization showed that before encapsulated with PEG-4000 and silica, occur agglomeration, meanwhile after encapsulated, the agglomeration was reduced. The result of Fourier Transform Infra Red (FTIR) characterization showed that Mn0.5Zn0.5Fe2O4 nanoparticles encapsulated with PEG-4000 there was shift in the wavenumbers 2878.00 cm-1 to 2885.51 cm-1 in the functional groups C-H and wavenumbers 1103.28 cm-1 to 1111.00 cm-1 in the functional groups C-O-C. Both of those functional groups was a constituent bond PEG-4000. Bonding metal oxide (M-O) was shift the wavenumbers 578.64 cm-1 to 570.93 cm-1, which was an uniform pattern of Mn0.5Zn0.5Fe2O4. Mn0.5Zn0.5Fe2O4 encapsulated with silica was shown in the wavenumbers 1049.28 cm-1; 779.24 cm-1; and 471.00 cm-1, which is the functional groups Si-O-Si (stretching). The characterization result of Mn0.5Zn0.5Fe2O4 magnetic properties with Vibrating Sample Magnetometer (VSM) showed that the values of coercivity, magnetization (at H = 15 kOe) and remnant magnetization was 47.55 Oe, 10.41 emu/g, 1.40 emu/g. After Mn0.5Zn0.5Fe2O4 nanoparticles encapsulated with PEG-4000 and silica was decreased amounting to 45.80 Oe, 45.64 Oe, 10.32 emu/g, 1.34 emu/g, 0.28 emu/g and 0.07 emu/g, respectively.
THE MORPHOSYNTACTIC STRUCTURE AMONG ISLAMIC BOARDING SCHOOL MULTILINGUAL STUDENTS IN INDONESIA: A LANGUAGE TRANSFER PHENOMENON Yani, Achmad; Zen, Evynurul Laily; Suharyadi, Suharyadi
Journal of English Educational Study (JEES) Vol 7, No 2 (2024): November Edition
Publisher : STKIP Persada Khatulistiwa Sintang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31932/jees.v7i2.3717

Abstract

This study investigates the phenomenon of language transfer among multilingual students at an Islamic boarding school, focusing on the morphosyntactic structures in recount texts written by students. Using descriptive quantitative methods, the research was conducted at a boarding school in South Kalimantan. Data were collected through free-writing exercises with ten selected students. The findings showed no significant statistical difference in language transfer between English and Arabic. However, interviews indicated that students often use Indonesian when forming sentences in English and Arabic, supporting the TPM theory. Future research should include a larger sample size, particularly from boarding schools, as each institution’s unique approach to multilingual education can influence language transfer in different ways.
Students' Attitudes Towards Cooperative Learning in Offline and Online Language Classroom Harianto, Muhammad Bayu Aji Putra; Suharyadi, Suharyadi; Tresnadewi, Shinta
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Vol 10, No 4: APRIL 2025
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/jptpp.v10i4.25751

Abstract

This study aimed to seek the students of English as a Foreign Language (EFL) views regarding their experiences on group work (GW) in online and offline settings. The findings showed that the majority of the students who experienced online and offline GW have positive perception. Utilizing a CL strategy may benefit students in increasing self-confidence and motivation, student-centered environment, and taking responsibility. Regardless of the benefits, the students who perceived GW negatively were in online settings due to internet connection issues, less GW experience, and unfamiliar with the application and software. Therefore, this study benefits students, academicians, and policymakers.
Evaluating Hots and Lots in ‘English for Nusantara’: A Content Analysis af A Grade VII English Textbook Fakhrillah, Agvy Rena; Suharyadi, Suharyadi
Journal of Languages and Language Teaching Vol 13, No 2 (2025)
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jollt.v13i2.13391

Abstract

In the 21st century, fostering critical thinking and problem-solving skills is essential for students. This study analyzes the manifestation of Higher Order Thinking Skills (HOTS) and Lower Order Thinking Skills (LOTS) in the English textbook ‘English for Nusantara’ for Grade VII. HOTS involves higher-level cognitive processes such as analysis, evaluation, and creation, while LOTS focuses on recall and comprehension. Involving a qualitative research design with a content analysis approach, this study applied Revised Bloom’s Taxonomy, which categorize exercises into LOTS (remember, understand, and apply) and HOTS (analyze, evaluate, and create). A total of 116 exercises in the form of instructions and 67 exercises in the form of questions from listening, speaking, reading, and writing tasks were analyzed. To maintain consistency, inter-rater reliability was ensured, where the analysis was cross-verified through discussions with a validator. The findings show that LOTS dominates the exercises, with 81% of the exercises are in the form of instructions and 89% in the form of questions. This indicates a heavy emphasis on LOTS and suggests an opportunity for more HOTS integration. Based on these findings, the study recommends that teachers incorporate more HOTS-focused activities, and textbook authors should design future editions with a stronger emphasis on HOTS exercises to foster critical thinking skills. Such adjustments would better equip students to meet the demands of the 21st century.
Systematic Review: Recent Developments in Magnetic-Nanoparticle-Based DNA Extraction Tjoa, Stanley Evander Emeltan; Mudasir, Mudasir; Suharyadi, Edi; Daryono, Budi Setiadi
Makara Journal of Science Vol. 29, No. 2
Publisher : UI Scholars Hub

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

Abstract

Deoxyribonucleic acid (DNA) is a research object for various molecular fields of study, and DNA extraction is a basic procedure in molecular biology laboratories. DNA extraction methods are evolving, from several steps using organic solvents to recent technology using magnetic nanoparticles as adsorbents for the purification step. The use of magnetic nanoparticles for DNA extraction is magnetizing because it is simple without heavy machinery, such as centrifugation and organic solvents. The application of this method is extensive and diverse. This systematic review summarizes current development trends for some aspects of this DNA extraction system from the magnetic nanoparticle synthesis method, extraction protocol, and different types of samples used. The main purpose of this review is to provide an overall perspective of the use of magnetic nanoparticles in DNA extraction for researchers to start their exploration of this safe, simple, and rapid technique. In general, the most well-known magnetic nanoparticle preparation uses the coprecipitation method. The preferred particle is a plain and silica-coated magnetic nanoparticle using tetraethyl orthosilicate. The most common buffer systems for binding, washing, and elution are Polyethylene Glycol (PEG) and NaCl, 70% ethanol, and Tris–EDTA, respectively. The extraction system with magnetite can be used for various types of samples, ranging from human specimens to animal, plant, and bacterial specimens. The extraction yields using the magnetic-nanoparticle-based method were between 0.03 µg and 116.63 µg with a DNA purity ratio between 1.09 and 1.99.
Classification of Toraja, Batak and Ambon Languages using Decision Tree and Gradient Boost methods Mangalla, Bileam; Suharyadi, Suharyadi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5100

Abstract

With its rich diversity of ethnicities, cultures, races, and religions, Indonesia is one of the countries with the highest number of regional languages in the world. This linguistic diversity often leads to communication challenges, particularly when conveying information or engaging in textual conversations. This study aims to identify and classify the Toraja, Batak, and Ambon languages using machine learning-based computational methods. The techniques employed include Decision Tree and Gradient Boost algorithms to evaluate the accuracy of each model. The results demonstrate that both Decision Tree and Gradient Boost are effective in language identification, achieving accuracy rates above 77%. However, based on the confusion matrix analysis, the Gradient Boost method proved to be more effective, with an accuracy rate of 81.06%, compared to 78.39% achieved by the Decision Tree. These findings suggest that Gradient Boost offers better performance for classifying these regional languages.
Synthesis and Characterization of the Microstructure and Functional Group Bond of Fe3o4 Nanoparticles from Natural Iron Sand in Tobelo North Halmahera Malega, Ferni; Indrayana, I Putu Tedy; Suharyadi, Edi
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 7 No 2 (2018): Jurnal Ilmiah pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v7i2.2913

Abstract

The Fe3O4 nanoparticles have been successfully synthesized from natural iron sand by using co-precipitation method at a temperature of 56oC. The elemental identification, structural characterization, and bonding analysis were carried out using XRF, XRD, and FTIR, respectively. The sample nanoparticles contain elements of Al, P, Ca, Ti, V, Cr, Mn, Ni, Cu, Zn, Rb, Re, Bi, and Fe. The composition of Fe element is 87.37%. The sample of the nanoparticle exhibited as the Fe3O4 which was shown by the diffraction pattern that belongs to a cubic spinel structure of Fe3O4. The crystallite size of the nanoparticle is 42.25 ± 0.42 nm. The lattice parameter was found at 8.384 ± 0.049 Å. The crystallite density is 5.232 103 kg/m3 while the lattice strain is 1.413 10-3/line. The FTIR spectra confirm that the existence of Fe-O stretching vibration in the range frequency of 658 cm-1-506 cm-1
Implementation of the FCFS (First Come, First Served) Method to Resolve Customer Queuing Issues at Lentera Grill Restaurant: (Case Study: Web-Based Reservation Information System at Lentera Grill Restaurant) Prabandaru, Lila; Suharyadi, Suharyadi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4209

Abstract

Lentera Grill Restaurant faces long customer queues due to manual ordering processes, particularly during peak hours. Our research aimed to reduce wait times and improve service accuracy through technology. We designed and built a web-based reservation system using Python, React, and MongoDB that applies the FCFS (First Come First Served) method to process orders in sequence of arrival. Testing involved two phases: functional validation through Blackbox Testing of all user pathways, and performance assessment using JMeter with 20, 50, and 100 simultaneous users. Results showed the system maintained stable throughput with zero error rates across all load scenarios, though we observed latency spikes during heavy traffic that require attention. The FCFS implementation reduced average wait times by 37% compared to the previous manual system and increased customer satisfaction ratings in post-implementation surveys. Restaurants with similar queue management challenges would benefit from adopting such technology-based solutions that balance customer experience with operational efficiency
Linking Item Analysis to Teaching and Learning: What English Test Data Tell Us about Teachers’ Competencies : Penelitian Suharyadi, Suharyadi; Kusumaningrum, Shirly Rizki
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3116

Abstract

This study examines the psychometric qualities of a tryout test administered to 283 in-service English teachers in Indonesia, using Classical Test Theory (CTT) procedures. The analysis focused on five indices: item validity, discrimination, difficulty, distractor functioning, and item utilization. Results revealed several weaknesses in the test design. Only 46% of items demonstrated acceptable validity, while 54% failed to align meaningfully with the overall construct of teacher competence. More than half of the items showed poor discrimination, limiting the test’s ability to differentiate high- and low-performing teachers. Difficulty levels were skewed, with 72% of items categorized as easy, thereby restricting the measurement of higher-order thinking skills. Distractor analysis indicated that three-quarters of options were non-functioning, reducing diagnostic value. Consequently, only 9% of items could be retained without revision. Despite these shortcomings, the findings provide useful insights into teacher competencies. While basic linguistic and pedagogical knowledge was well represented, higher-order professional skills such as inference, synthesis, and applied pedagogy were under-assessed. These results highlight the importance of strengthening assessment literacy and integrating item analysis into teacher professional development.
Co-Authors - Heriansyah, - - Mustawarman, - - Mutmainnah, - A.A. Ketut Agung Cahyawan W Abdul Hakim Prima Yuniarto Abu Khalid Rivai Ade Iriani Adriyanto Juliastomo Gundo Agnesia, Wega Dhea Agustin, Ayu Chandra Agusutrisno Agusutrisno, Agusutrisno Al-Ansori, Muhammad Abdul Latif Alfiazh, Andini Tria Alhusna, Indra Sundara Anik Nunuk Wulyani Armitasari, Linda Asep Awaludin, Asep BUDI SETIADI DARYONO Chairani, Nur Julianti Dwi Damanik, Lina Aftiani DEWI SARTIKA Dewi, Priyantini Ekaning Dewanti Laksmi El Khoiri, Niamika Erni Marlina, Erni Evi Maria Evynurul Laily Zen Fakhrillah, Agvy Rena Farkan, Mochammad Ferni Malega Gunadi Harry Sulistyo Hafied Cangara, Hafied Harianto, Muhammad Bayu Aji Putra Heri Kiswanto Heri Kiswanto Heripan, Heripan Hidayati, Yustina I Putu Tedy Indrayana Ihsan, Iif Miftahul Ilham Ilham Imam Prayogo Pujiono Indrawati, Dewi Miska Irwan Sembiring Istiqomah, Nurul Imani Ivone, Fransisca Maria Jun Harbi Kamsul Abraha Kristiany, Maria Gorety Eny Kuat Ismanto Kusumamawarni, Deaseptia Nirmala Laisina, Edwin Malega, Ferni Malega, Ferni Mangalla, Bileam Mardiyanto Mardiyanto Margono Margono Milantara, Noril Mirjam Anugerahwati Mudasir Mudasir Muhammad Hanif Mulyono, Mugi Nasirin, Nasirin Nasrullah Nasrullah Novela, Monica Nugraha, Bayu Adi Nur Aji Wibowo Nurul Imani Istiqomah Nurwadi, Nurul Fadilah Parlina, Iin Prabandaru, Lila Prabowo, Guntur Prayogi, Arditya Prima Widayani Putra, Angkasa Rahardian, Renaldy Baptista Rahayu, Dwi Indah Ramadiansyah, Febry Rheido, Gestar Riyanto, Didik Rohmah, Syifa Romantik, Romi Romi Novriadi Rony, Zahara Tussoleha Rosyidah, Umniyah Juman Safitri, Mega Said, Dian Riani Samsu Harapan, Sri Budiani Samsuardi Samsuardi, Samsuardi Samsuharapan, Sri Budiani Sari, Emi Kurnia Satoshi Iwata Sektiana, Sinar Pagi Shirly Rizki Kusumaningrum Sintha Tresnadewi Siti Muniroh Sri Andreani Sri Budiani Suhardi, Muhammad Tegar Alif Susilo, Dinantari Susilo, Sandy Pria Nanda Syahirul Alim Syahrul R, Syahrul Syaputra, Affandi Syukron, Akhmad Aufa Tahir, Asman Bin Mohd Takeshi Kato Theopillus J. H. Wellem Tintien Koerniawati Tjoa, Stanley Evander Emeltan Tresnadewi, Shinta Utari Praba Astuti Wake, Yohana Dhoe Yani, Achmad Yazid Basthomi Yessica Nataliani Yulizar Yulizar Yumna, Asy Syafa’ Yuwono, Henri