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All Journal JSI: Jurnal Sistem Informasi (E-Journal) PROSIDING SEMINAR KIMIA Jurnal Tadris Kimiya JURNAL ATOMIK JKPK (Jurnal Kimia dan Pendidikan Kimia) Bivalen: Chemical Studies Journal Jurnal Sains dan Kesehatan Jurnal Ilmiah Manuntung: Sains Farmasi dan Kesehatan Jurnal Pendidikan Kimia, Fisika dan Biologi
Sukemi Sukemi
Chemical Education Program, Faculty Of Teacher Training And Education, Mulawarman University, Samarinda, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Environmental Science Immunology & microbiology Library & Information Science Medicine & Pharmacology Nursing Public Health Other

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Paper Clustering Data Bibliografi menggunakan Algoritma DBSCAN dengan Author Matching Classifier Berbasis Deep Neural Network Ricy Firnando; Siti Nurmaini; Sukemi Sukemi; Firdaus Firdaus; Muhammad Naufal Rachmatullah
Jurnal Sistem Informasi Vol 14, No 2 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/jsi.v14i2.19089

Abstract

Ambiguitas nama penulis atau author name ambiguity sering kali menjadi masalah yang dapat mempengaruhi kualitas layanan database bibliografi. Untuk mengatasi masalah ambiguitas nama penulis maka diciptakanlah disambiguasi nama penulis atau author name disambiguation. Metode yang digunakan dalam author name disambiguation umumnya menangani masalah ambiguitas nama penulis dengan pendekatan author matching, classification, dan clustering. Beberapa penelitian menggabungkan beberapa pendekatan seperti menggunakan author matching classifier berbasis algoritma random forest untuk pairwise classification dan algoritma DBSCAN sebagai algoritma clustering namun masih belum mendapatkan hasil atau performa yang optimal. Pada penelitian ini dibangun sebuah model author matching classifier berbasis deep neural network yang kemudian diimplementasikan dalam algoritma clustering DBSCAN. Berdasarkan percobaan yang dilakukan menggunakan dataset The Giles, model author matching cassifier berbasis deep neural network yang kami usulkan dapat menghasilkan performa sebesar 95.99% untuk pairwise classification dan 97.23% untuk clustering.
An Evaluation of the Antidiabetic and Antimicrobial Activity of an Ethanolic Extract from Rhizophora mucronata Leaf Usman Usman; Pintaka Kusumaningtyas; Sukemi Sukemi; Erwin Erwin
Jurnal Sains dan Kesehatan Vol. 5 No. 4 (2023): J. Sains Kes.
Publisher : Fakultas Farmasi, Universitas Mulawarman, Samarinda, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25026/jsk.v5i4.1978

Abstract

The aim of this research was to determine the antidiabetic and antimicrobial properties of ethanolic extract of Rhizophora mucronata leaves, as well as the phytochemical elements contained in the leaf extract. Extracts from R. mucronata leaf samples were obtained by maceration in ethanol-based solvents. The ethanolic extract of R. mucronata leaves is known to have an antidiabetic effect on mice, evidenced by its ability to reduce blood glucose levels. Giving ethanol extract at a dose of 600 mg/kg BW gives the greatest antidiabetic effect. The antibacterial activity of the extract against the tested bacteria and fungi was also limited due to the presence of contaminants in the ethanolic extract. The analysis of secondary metabolites using LC-MS revealed that the ethanolic extract of R. mucronata leaves contained 25 different secondary metabolite compounds. Furthermore research to purify and identify the compounds in the ethanolic extract of R. mucronata is required to develop this resource as an antimicrobial and antidiabetic drug based on natural materials.
ADSORPSI METILEN BIRU DENGAN MENGGUNAKAN ARANG AKTIF DARI DAUN TANAMAN DOYO (Curculigo latifolia) Pasa, Jessica Indriyani; -, Aldiansyag; Septiani, Risky; Prastika, Nanda Diah; Markus, Rio Mardani; Lestari, Sri; -, Sukemi; Gunawan, Rony
JURNAL ATOMIK Vol 9 No 2 (2024)
Publisher : Jurusan Kimia FMIPA UNMUL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/ja.v9i2.1393

Abstract

Methylene blue adsorption research has been carried out using activated charcoal from Curculigo latifolia. This research aims to determine the characteristics of the Curculigo latifolia activated charcoal made and the optimum conditions for the adsorption of methylene blue by Curculigo latifolia activated charcoal. Physically activated charcoal is made from Curculigo latifolia which is carbonized at 400°C for 30 minutes, then the physically activated charcoal is soaked in 0.5 M H2SO4 solution for 24 hours to produce chemically activated charcoal. The results showed that the optimum pH for methylene blue adsorption obtained from the Curculigo latifolia activated charcoal adsorbent was physically activated at pH 7 and chemically activated at pH 9. The optimum contact time obtained from the physically and chemically activated Curculigo latifolia activated charcoal adsorbent occurred at a contact time of 15 minutes and 30 minutes. Adsorption of methylene blue by chemically activated Curculigo latifolia activated charcoal follows the Langmuir adsorption isotherm while physically activated charcoal follows the Freundlich adsorption isotherm. The optimum adsorbent mass of physically and chemically activated charcoal is 0.2 g and 0.25 g.
Analysis of Argument-Driven Inquiry Activity in Chemistry Textbooks Iis Intan Widiyowati; Ainun Rezkiva Arif; Sukemi Sukemi
Jurnal Tadris Kimiya Vol 8, No 2 (2023)
Publisher : Department of Chemistry Education, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jtk.v8i2.21243

Abstract

Argument-Driven Inquiry (ADI) in science learning can improve students' argumentation skills and understanding of concepts. In the textbooks, it is important to have ADI activities inside. This research aims to analyze ADI activities in the high school chemistry textbook Revised Curriculum 2013. This research used nine indicators of ADI activities: questions, evidence, student explanation, scientific theories, argumentation, communication and justification, analysis, connection, investigation report, and reflection. The research method used a descriptive instrument as an analysis sheet prepared based on ADI activities. Data was collected using documentation techniques and data analysis using content analysis of ADI activities. The results showed that the reliability test of the data obtained was 0.94 in the very good category. The ADI activity most found in textbooks is evidence activity, with a percentage of 31.25 Meanwhile, the textbook needs to explain question and answer and reflection activities. The textbook needs to increase ADI activities that support student-centered learning and teaching.
UJI FITOKIMIA DAN ANTIOKSIDAN EKSTRAK ETANOL PROPOLIS LEBAH KELULUT (Tetragonula iridipennis) DARI SAMARINDA KALIMANTAN TIMUR Binti Khairunnisa; Enih Rosamah; Harlinda Kuspradini; Irawan Wijaya Kusuma; Sukemi Sukemi; Nataniel Tandirogang; Enos Tangke Arung
Jurnal Ilmiah Manuntung Vol 6 No 1 (2020): Jurnal Ilmiah Manuntung
Publisher : jurnal ilmiah manuntung sekolah tinggi ilmu kesehatan samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51352/jim.v6i1.309

Abstract

The study aims to identify the secondary metabolite compounds contained in the ethanol extract Propolis Tetragonula Iridipennis and determine the antioxidant activity. Propolis is extracted from the beehive of Kelulut (Tetragonula Iridipennis) with a method of maceration of ethanol 96% produce a yield of 66.73%. Propolis extract contains alkaloid compounds, flavonoids, triterpenoids, tannins and carbohydrates. Propolis extract tested its antioxidant activity using the DPPH method (1.1-diphenyl-2-picrylhydrazyl) with a wavelength of 514 nm. Results showed a percentage of propolis extract free radicals 59% in concentrations of 100 ppm with IC50 33.74 ppm so that propolis extract is potentially as an antioxidant.
Pengaruh Model Pembelajaran PoE terhadap Keterampilan Berpikir Kritis pada Materi Koloid Siswa Kelas XI di SMA IT Granada Sefi Dwi Wahyuni; Muhammad Amir Masruhim; Sukemi Sukemi
Jurnal Pendidikan Kimia, Fisika dan Biologi Vol. 1 No. 6 (2025): November : Jurnal Pendidikan Kimia, Fisika dan Biologi
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupenkifb.v1i6.740

Abstract

Students' critical thinking skills in colloid material are still low, possibly due to a lack of problem-solving abilities. Therefore, the application of various learning models is considered necessary, one of which is Problem-Based Learning (PoE). This study aims to investigate the impact of PoE on students' critical thinking skills at Granada Polytechnic (SMA IT Granada) in colloid material. A quasi-experimental design and quantitative experimental methods were used. Fifty students from grades 11 A and B were selected as research subjects through census sampling. A post-test control design was used. Data collection used post-test data as primary data, supplemented by observation sheets of student classroom activities. The results showed that the average post-test score of the experimental group was 78, while the average post-test score of the control group was 59. The t-test results showed that the hypothesis Ha was true, therefore, it can be concluded that the application of the PoE model at Granada Polytechnic can improve students' critical thinking skills in colloid material.    
Co-Authors -, Aldiansyag Ade Irfan Ainun Rezkiva Arif Ajeng Hayu Pratiwi Aris Madiun Daya Binti Khairunnisa Boyfanie Ivan Putra Desti Ramadhani Dian Palupi Rini Enih Rosamah Enos Tangke Arung, Enos Tangke Erwin Erwin Farah Erika Firdaus Firdaus Firman Wahyudi Gabriel Ekoputra Hartono Cahyadi Gunawan, Rony Hanggara Arifian Harlinda Kuspradini Harra Ismi Farah Herman Herman Iis Intan Widiyowati Indriana Tasya Irawan Wijaya Kusuma, Irawan Wijaya Irsalinda Wessa Nurrahim Laode Rijai Markus, Rio Mardani Mitha Saputri MUHAMMAD AMIR MASRUHIM Muhammad Ismail Marzuki Muhammad Naufal Rachmatullah Nataniel Tandirogang Nindy Nur Rahmawati Nor Hikmah Nurdianah Abdul Kadir Pasa, Jessica Indriyani Pintaka Kusumaningtyas Prastika, Nanda Diah Radoh Rinasih Hermawani Rahmadani, Agung Ricy Firnando Sefi Dwi Wahyuni Sela Defi Alib Pradani Sela Defi Alib Pradani Sela Defi Alib Pradani Septiani, Risky Siti Nurmaini Sri Lestari Supriatno Salam Usman Usman Usman Usman Usman Usman Wahyu Yunita Lestari Widya Purwati