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All Journal Erudio: Journal of Educational Innovation Alotrop Jurnal Pendidikan dan Ilmu Kimia Science and Physics Education Journal (SPEJ) Journal of Science Education Research PENDIPA Journal of Science Education BIOEDUSAINS: Jurnal Pendidikan Biologi dan Sains JURNAL PENDIDIKAN TAMBUSAI Jurnal Paedagogy IJORER : International Journal of Recent Educational Research al Kimiya : Jurnal Ilmu Kimia dan Terapan

M. Lutfi Firdaus

FKIP Universitas Bengkulu

Author-ID : 3327639

Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 25 Documents Claim Missing Document

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Review Nanomaterial Sebagai Sensor Melamin dan Zat Aditif lainnya Secara Kolorimetri Wangi Pusva K.; Edwin Saputra; Rima Mayesmy H.; M. Lutfi Firdaus
PendIPA Journal of Science Education Vol 4, No 3 (2020): JULY - OCTOBER
Publisher : University of Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pendipa.4.3.98-115

Manusia membutuhkan nutrisi untuk kelangsungan hidupnya. Salah satu nutrisi yang dibutuhkan oleh manusia adalah protein. Protein dapat diperoleh melalui produk makanan atau minuman. Produk yang memiliki kandungan protein yang cukup tinggi, salah satunya terdapat pada susu. Akan tetapi, susu seringkali mengandung zat aditif yang berbahaya bagi Kesehatan, seperti melamin. Penambahan melamin secara ilegal pada susu ditujukan untuk meningkatkan kadar nitrogen yang tinggi (66% massa) sehingga pada saat susu diperiksa seolah-olah susu tersebut mempunyai kandungan protein yang tinggi. Dalam artikel review ini, kami melakukan studi literatur bagaimana cara mendeteksi kadar melamin dan zat sintesis serta aditif lainnya di dalam makanan dan minuman. Hasil yang diperoleh yaitu nanopartikel dapat menganalisis kandungan melamin dengan metode kolorimetri menggunkan nanomaterial (AuNPs dan AgNPs). Sistem biosensing berbasis serat optik menggunakan resonansi plasmon permukaan lokal dari AuNPs dan AgNPs untuk deteksi kolorimetri melamin. Hasil percobaan dari literatur yang didapat menunjukkan hubungan linier yang baik antara perbedaan nilai absorbansi pada panjang gelombang 520 nm AuNPs dengan konsentrasi melamin dalam susu cair pada rentang antara 0,1 ?M sampai 0,9 ?M, dengan batas deteksi sebesar 33 nM.

Inovasi Sistem Stack Microbial Fuel Cell menggunakan Substrat Limbah Rumen Sapi serta Implementasinya sebagai Media Pembelajaran Diya Novarina; Eko Swistoro; M. Lutfi Firdaus; Rosane Medriati
PendIPA Journal of Science Education Vol 2, No 3 (2018): October
Publisher : University of Bengkulu

ABSTRACT[Innovation of microbial fuel cell stack system using cow rumen waste substrate and its implementation as a learning media]. The aims of this study are to: 1) describe the difference of Electric Motion (GGL), 2) describe the difference of electric power per unit area of the anode (Pa) which is produced between the series design MFC type series, parallel, mixed type 1 and mixed type 2, and 3) describe the significant difference of learning outcomes between the PBL learning model using MFC media with PBL learning model by using the electrical kit medium on dynamic electrical concept in SMA Muhammadiyah 4 Bengkulu. The free variable of this research are MFC stack system design (series, parallel, mixed types 1 and 2) and the dependent variable is GGL and electric power per unit of anode surface area. The results are obtained difference GGL and Pa between series design, parallel, mixed types 1 and 2 by comparison are 3: 1: 1,5: 2 whereas Pa ratio is 1: 10: 6: 2 with maximum GGL is obtained in series design of 3,29 V and Pa maximum in parallel circuit 21,76 mW / m2. Implementation of MFC series as a learning media used Problem Based Learning model on physics learning Implementation of MFC circuit with research design using one group pretest-posttest design. The testing of hypothesis with t-test shows tcount 2.739> ttable 2,001 and 95% significant level so it can be concluded there are significant differences in learning outcomes of PBL learning model by using MFC media with PBL learning model by using media Electric Kit on dynamic electrical concept in SMA Muhammadiyah 4 Bengkulu. Keywords: Stack Microbial Fuel Cell (MFC) Sistem; Rumen Cow Liquid Waste; Learning Media.

Application of Gold Silica Nanocomposites in Electrochemical Biosensors: A Review Salma Nur Zakiyyah; Diana Rakhmawaty Eddy; M. Lutfi Firdaus; Yeni Wahyuni Hartati
PendIPA Journal of Science Education Vol 5, No 2 (2021): MARCH - JUNE
Publisher : University of Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pendipa.5.2.122-132

Gold silica nanocomposite-based biosensors are performing well in sensor technology for biosensor development. Due to this biosensor has good selectivity, excellent conductivity, large surface area, efficient enhancement of electron transfer between enzymes and electrodes and good biocompatibility. Therefore, gold silica nanocomposite can be an ideal matrix for immobilization of biomolecules. This review describes the method of synthesizing gold silica nanocomposites and their characterization, interaction with biomolecules and application of gold silica nanocomposites in electrochemical biosensors.

PENJERAPAN ZAT WARNA SINTETIS MENGGUNAKAN KARBON AKTIF KELAPA SAWIT DAN PENGEMBANGANNYA SEBAGAI BAHAN AJAR Efa Susanti; M.Lutfi Firdaus; Sumpono Sumpono
PendIPA Journal of Science Education Vol 1, No 1 (2017): october
Publisher : University of Bengkulu

This study aims to: (1) explain the ability of the active carbon absorption of Palm Oil Palm as a dye adsorbent Reactive Red and Direct Green (2) determines the pH, contact time, and weight of the optimum adsorbent and the influence of temperature using activated carbon. Reactive Red and Direct Green dyestuffs. (3) to explain the influence of video media usage on the improvement of learning result and critical thinking ability of students in Chemistry class XI MIPA E at SMAN 2 Kota Bengkulu. The procedure in this study is the activation of activated carbon of palm oil and activated, activated carbon characterization using FTIR, Determination of maximum wavelength (?), Calibration curve creation, Adsorption of substance by activated carbon of palm oil: determining pH, contact time, adsorbent weight, , adsorption isotherms, Determination of temperature effect, Adsorption Isotherm Determination, Determination of adsorption kinetics, Applications on dyestuffs. The data were analyzed. The result of pH variation, variation of adsorbent weight, and contact time were made curve so that pH, adsorbent weight, concentration and optimum contact time were obtained using Excel program. Using ANAVA one way, followed by KR-20 test and one sample t test. The results showed that there were: reactive red optimum wavelength 496 nm, optimum pH 3, optimum time 40 min, absorbent weight 150 mg, maximum absorbency KAPKS 32,73 mg / gr and direct green optimum wavelength 613 nm, with optimum pH 5, optimum time 40 minutes, absorbent weight 150 mg, maximum absorbency KAPKS 32.825 mg / gr. there is an increase of chemistry learning outcomes during the enrichment hours or outside of class hours and critical thinking skills of grade XI IPA E SMAN2 Kota Bengkulu using audio-visual media with average pretest score of 75 and average post test score 82.27 with four criteria critical thinking skills are less critical by 26%, critical enough 43%, critical 23% and very critical at 8%.

Penggunaan Data Mikrotremor Dan Vs30 Untuk Mengetahui Hubungan Ketebalan Sedimen Terhadap Produktivitas Kelapa Sawit Dan Implementasinya Dalam Pembelajaran Fisika Riska Marwanti; M.Lutfi Firdaus; M Farid
PendIPA Journal of Science Education Vol 1, No 1 (2017): october
Publisher : University of Bengkulu

The aims of this study were to determine the relationship of sediment thickness to palm oil productivity and to know the improvement of student learning outcomes after learning using LKPD based on service learning. This study was conducted using HVSR (Horizontal to Vertical Spectral Ratio) method. Data were collected as 10 primary data points, while secondary data on palm oil productivity was obtained from PT Bio Nusantara Teknologi. Data obtained from field measurements are numerical data of natural wave recording or seismic signal at each measurement point. The data is processed using Geopsy software so it can be known the price of the dominant frequency (fo), while the shear wave velocity (Vs30) is obtained through USGS data. The result of this research is there is intermediate relationship between sediment thickness to productivity of palm oil with product moment correlation value equal to 0,6392, so that thicker layer of sediment hence higher productivity. The results of this study further used as a source of information contained in the form of LKPD-based service learning to become a learning medium taught by Problem Based Learning (PBL) model on students of class XI SMK N 1 Padang Jaya to know the improvement of students' cognitive learning outcomes in physics learning. The result of research implementation influence of sediment thickness to productivity of palm oil in classroom study showed cognitive learning result of learners experience improvement of cognitive learning result with average value of N-gain of 0,52 (medium criterion).

The Pengembangan E-Modul Sintesis Metal Organic Frameworks Cu-BDC Sebagai Adsorben Zat Warna Berbasis Problem Based Learning Untuk Meningkatkan Literasi Sains Mahasiswa Septika Amalia Umaro; Sura Menda Ginting; M. Lutfi Firdaus
PendIPA Journal of Science Education Vol 8 No 1 (2024): February
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pendipa.8.1.108-113

This research aimed to analyze the feasibility of an e-module with the topic of synthesis of Metal Organic Frameworks (MOFs) Cu-BDC as adsorbents for Congo red and Metanil yellow dyes, as well as to analyze the improvement of students' scientific literacy after the implementation of a Problem Based Learning-based e-module in the material chemistry course using a Telegram bot application. The research method used was research and development with the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Data collection techniques included observation, tests, and questionnaires. The research instruments consisted of test sheets and questionnaires that have been validated by experts. Data analysis technique used was quantitative analysis. Based on the validation results of the e-module by content experts, a score of 93.17% was obtained, media experts 95.8%, test validation results 88.75%, and student response questionnaire validation results 92.6%. Overall, it can be concluded that the validation results of the e-module fall under the category of very feasible. The student response questionnaire towards the e-module resulted in a score of 95% with a category of very feasible. The n-gain result obtained after the application of the e-module in the material chemistry course is 0.67 with moderate criteria. In conclusion, the e-module with the topic of synthesis of MOFs Cu-BDC as adsorbents for Congo red and Metanil yellow dyes using Problem Based Learning model and Telegram bot application is highly suitable for use as an alternative teaching material in the material chemistry learning process and can improve students' scientific literacy.

Co-Authors Aceng Wikrama Ruyani Ahmad Amin Angga Aprian Dinata Ariefa Primair Yani Budiyanto Budiyanto Dewi Handayani Diana Rakhmawaty Eddy Diya Novarina Edo Prasetia Edwin Saputra Efa Susanti Eko Swistoro Eko Swistoro Eko Swistoro Elvinawati Elvinawati Elvinawati Elvinawati Endang Suswati Endang Widi Winarni Endang Widi Winarni Euis Wikrama Nursa’adah Ghufira Ghufira Hadi Apriyonda Hayuni Retno Widarti Hendry Nordan Hermansyah Amir Khairul Hidayah Khanna Hadirama Marti Hitsmi Muchammad Farid Muzanip Alperi Nessi Meileza Nurhamidah Purwanti Widhy Hastuti Renaldi Adriansyah Rendy W. Wardana Rendy Wikrama Wardana Rima Mayesmy H. Rina Elvia Rince Anugrah Ilahi Riska Marwanti Rosane Medriati Salma Nur Zakiyyah Samitra, Dian Sasti Yuliafitri Septika Amalia Umaro Siti Zaya Aisyahlika Sumpono Sumpono Sura Menda Ginting Vazella Lavenia Lorenza Wangi Pusva K. Yeni Wahyuni Hartati Yestilia Anggraini Yuni Krisnawati Zico Fakhrur Rozi

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