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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) ComEngApp : Computer Engineering and Applications Journal Jupiter Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI JUSIFO : Jurnal Sistem Informasi Annual Research Seminar PROSIDING SEMINAR KIMIA JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Tadris Kimiya Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Momentum: Physics Education Journal SINTECH (Science and Information Technology) Journal SEINASI-KESI Jambura Journal of Educational Chemistry CSRID (Computer Science Research and Its Development Journal) Jurnal Informatika Global Jurnal Informatika dan Rekayasa Elektronik Journal of Information Systems and Informatics Jurnal Generic Bivalen: Chemical Studies Journal CHEDS: Journal of Chemistry, Education, and Science Manajemen dan Kewirausahaan Journal of Educational Sciences DFAME Digital Financial Accounting Management Economics Journal Jurnal Medika: Medika Jurnal Sains dan Kesehatan
Sukemi Sukemi
Fakultas Ilmu Komputer Universitas Sriwijaya
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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An In Silico Evaluation of the Anti-Wrinkling Potential of Certain Peptides in Relation to the Catalytic Domain of Matrix Metalloproteinase-1 Rahmadani, Agung; Sukemi, Sukemi; Tasya, Indriana; Olii, Nova Yunita Putri; Ridwansyah, Muhammad; Turista, Dora Dayu Rahma; Arifian, Hanggara
Jurnal Sains dan Kesehatan Vol. 7 No. 1 (2025): J. Sains Kes.
Publisher : Fakultas Farmasi, Universitas Mulawarman, Samarinda, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25026/jsk.v7i1.2518

Abstract

Skin wrinkles are caused by the cleavage of collagen fibers by the major collagenase enzyme matrix metalloproteinase-1 (MMP-1). Peptide-based matrix metalloproteinase-1 inhibitors present a potential new therapeutic strategy to prevent MMP-1-mediated collagenolysis, which is induced by UV-induced MMP-1 overexpression. This in silico study investigated the MMP-1 inhibitory capacity of carefully selected and well-designed hexapeptides. A molecular docking method was employed to screen 14 hexapeptides. The target ligands were observed to interact non-covalently. The LYYYGP peptide sequence was found to form three hydrogen bonds (H-bonds) with amino acid (AA) residues in the catalytic domain of MMP-1. Additionally, hydrophobic interactions between these peptides and the protein were observed at certain sites. The maximum binding affinity was observed for the LYYYGP sequence (binding free energy, ?G = -9.00 kcal/mol). These sequences exhibited binding energies comparable to those of the LSYYGP sequence (-8.48 kcal/mol) and YSGYYP sequence (-8.27 kcal/mol). The YSGYGY sequence demonstrated a lower binding affinity for the target receptor, with ?G = -5.59 kcal/mol. This study indicates that specific peptide sequence components are crucial for forming hydrogen bonds that link proteins to peptides. Further investigation, encompassing chemical synthesis and laboratory experimentation, is requisite to substantiate the efficacy of the two hexapeptides.
Accuracy of neural networks in brain wave diagnosis of schizophrenia Sukemi, Sukemi; Cahyadi, Gabriel Ekoputra Hartono; Samsuryadi, Samsuryadi; Akbar, Muhammad Agung
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i2.pp1311-1325

Abstract

This research explores the application of a modified deep learning model for electroencephalography (EEG) signal classification in the context of schizophrenia diagnosis. This study aims to utilize the temporal and spatial characteristics of EEG data to improve classification accuracy. Four popular convolutional neural network (CNN) architectures, namely LeNet-5, AlexNet, VGG16, and ResNet-18, are adapted to handle 1D EEG signals. In addition, a hybrid architecture of CNN-gated recurrent unit (GRU) and CNN-long short-term memory (LSTM) is proposed to capture spatial and temporal dynamics. The model was evaluated on a dataset consisting of EEG recordings from 14 patients with paranoid schizophrenia and 14 healthy controls. The results show high accuracy and F1 scores for all modified models, with CNN-LSTM and CNN-GRU achieving the highest performance with scores of 0.96 and 0.97, respectively. Receiver operating characteristic (ROC) curves demonstrate the model's ability to distinguish between healthy controls and schizophrenia patients. The proposed model offers a promising approach for automated schizophrenia diagnosis based on EEG signals, potentially assisting clinicians in early detection and intervention. Future work will focus on larger data sets and explore transfer learning techniques to improve the generalization ability of the model.
Penentuan kondisi optimum penjerapan ekstrak etanol bunga dadap merah (Erythrina cristagalli L.) oleh kertas saring Agustina, Reny; Sukemi, Sukemi
Bivalen: Chemical Studies Journal Vol. 6 No. 1 (2023)
Publisher : Bachelor Degree Program of Chemical Education - Mulawarman University | Program Studi S-1 Pendidikan Kimia - Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bcsj.v6i1.952

Abstract

Bunga dadap merah (Erythrina cristagalli L.) berpotensi untuk dijadikan indikator asam basa alami. Penelitian ini dirancang untuk mengetahui kondisi optimum penjerapan ekstrak etanol bunga dadap merah oleh kertas saring. Ekstrak etanol bunga dadap merah diperoleh dengan metode maserasi menggunakan pelarut etanol 95% selama 24 jam. Larutan indikator kemudian diuji perubahan warnanya pada larutan pH 1-14. Larutan indikator selanjutnya digunakan untuk menentukan kondisi optimum (waktu kontak, MLR, suhu dan konsentrasi) penjerapan ekstrak oleh kertas saring. Hasil penelitian menunjukkan bahwa penjerapan ekstrak etanol bunga dadap merah oleh kertas saring meningkat seiring meningkatnya waktu kontak, material to liquor ratio (MLR), suhu dan konsentrasi. Waktu kontak dan suhu optimum pada penelitian ini adalah 60 menit dan 78°C, sementara MLR dan konsentrasi maksimum diperoleh pada 1:150 dan pemekatan 6×.
Persepsi siswa SMA tentang pembelajaran kimia menggunakan Google classroom Sukemi, Sukemi; Rindoi, Muhammad; Kusumawardani, Ratna; Watulingas, Maasje C.
Bivalen: Chemical Studies Journal Vol. 5 No. 1 (2022)
Publisher : Bachelor Degree Program of Chemical Education - Mulawarman University | Program Studi S-1 Pendidikan Kimia - Universitas Mulawarman

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Abstract

Penelitian ini bertujuan untuk mengetahui persepsi siswa tentang pembelajaran kimia secara daring menggunakan Google classroom. Populasi dalam penelitian ini adalah 216 siswa kelas X IPA SMA N 2 Samarinda tahun ajaran 2020/2021. Sampel penelitian adalah 68 siswayang terdiri atas 20 laki-laki dan 48 perempuan yang dipilih secara acak. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengumpulan data menggunakan angket. Persepsi siswa yang diukur adalah kemudahan akses, manfaat, komunikasi dan interaksi, pengiriman instuksi, dan kepuasan siswa. Hasil penelitian menunjukkan bahwa siswa memiliki persepsi positif tentang pembelajaran kimia secara daring menggunakan Google classroom. Penelitian ini mengindikasikan bahwa Google classroom merupakan solusi bagi guru, khususnya guru kimia, dalam melaksanakan pembelajaran daring.
Kondisi optimum pewarnaan serat daun doyo menggunakan pewarna alami dari ekstrak kulit akar Rhizopora stylosa Sukemi, Sukemi; Adha, Syahida; Suprianto, Edy; Fadjri, Luthfi Talitha Fairuzy; Ishmah, Rismananda; Gunawan, Rony; Kusumattaqiin, Fataa
Bivalen: Chemical Studies Journal Vol. 5 No. 2 (2022)
Publisher : Bachelor Degree Program of Chemical Education - Mulawarman University | Program Studi S-1 Pendidikan Kimia - Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bcsj.v5i2.1796

Abstract

Kain tenun (ulap) doyo merupakan produk tekstil suku Dayak Benuaq, Provinsi Kalimantan Timur, Indonesia. Kain ini dibuat dari serat daun doyo yang memiliki warna dasar putih-krem dan pewarna alami digunakan untuk mewarnainya. Bakau mengandung tanin yang dapat dijadikan pewarna alami. Pada proses pewarnaan benang atau serat dari daun doyo terjadi proses penyerapan warna oleh serat. Penelitian ini dirancang untuk menentukan kondisi optimum pewarnaan serat daun doyo menggunakan ekstrak kulit akar bakau (EKAB) spesies Rhizopora stylosa. Pembuatan zat warna dilakukan dengan perebusan kulit akar bakau kering menggunakan aquades. Pewarnaan serat doyo menggunakan teknik pencelupan. Uji beda warna (DI) serat yang diwarnai dianalisis menggunakan applikasi ImageJ. Hasil penelitian menunjukan pewarna alami dari EKAB berwarna cokelat tua. Kondisi optimum pewarnaan serat daun doyo menggunakan pewarna alami EKAB adalah: pH larutan pewarna 3, suhu pewarnaan 92°C, waktu pencelupan/pewarnaan 130 menit, material to liquor ratio (MLR) 1:100 (b/v), dan konsentrasi larutan pewarna pada tiga kali pemekatan. Hasil pewarnaan serat daun doyo menggunakan ekstrak kulit akar bakau adalah cokelat. Hasil ini menunjukkan bahwa kulit akar bakau dapat diaplikasikan sebagai sumber zat warna pada pewarnaan serat daun doyo.
Karakteristik trayek pH indikator alami dan aplikasinya pada titrasi asam dan basa Agustina, Reny; Rahma, Sitti; Arni, Arni; Sandhira, Aura Chrismania; Sukemi, Sukemi
Bivalen: Chemical Studies Journal Vol. 5 No. 2 (2022)
Publisher : Bachelor Degree Program of Chemical Education - Mulawarman University | Program Studi S-1 Pendidikan Kimia - Universitas Mulawarman

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Abstract

Indikator asam basa merupakan senyawa kompleks yang mampu bereaksi dengan asam atau basa yang disertai dengan perubahan warna. Indikator asam basa memiliki trayek pH yang ditunjukkan oleh perubahan warnanya pada kondisi asam dan basa. Penggunaan indikator asam basa sintesis membutuhkan biaya dan dapat mencemari lingkungan sehingga dibutuhkan suatu indikator pengganti yang lebih murah dan ramah lingkungan. Indikator sintesis dapat diganti dengan indikator alami yang dapat dibuat dengan mengekstrak bagian dari tanaman, seperti batang, daun, bunga dan buah. Beberapa jenis dan bagian tanaman seperti buah karamunting, bunga dadap merah, bunga kembang merak, bunga kembang sepatu, bunga rosella, bunga telang, bunga waru, daun adam hawa, kayu secang, ketan hitam, kubis ungu, kulit buah naga, pucuk daun pucuk merah, dan ubi jalar ungu berpotensi sebagai indikator asam basa. Hal ini dapat dilihat dari trayek pHnya, perubahan warnanya, dan aplikasinya pada titrasi asam basa. Indikator asam-basa alami dapat dijadikan laternatif sebagai pengganti indikator asam basa sisntesis.
Aktivitas antioxidan ekstrak metanol bunga Gmelina elliptica dari Kalimantan Timur Usman, Usman; Sukemi, Sukemi; Mardian, Yessi Maulida; Herliani, Herliani; Sari, Eadvin Rosrinda Awang; Arung, Enos Tangke
Bivalen: Chemical Studies Journal Vol. 5 No. 2 (2022)
Publisher : Bachelor Degree Program of Chemical Education - Mulawarman University | Program Studi S-1 Pendidikan Kimia - Universitas Mulawarman

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Abstract

Gmelina elliptica digunakan penduduk di desa Talisayan, Kalimantan Timur, untuk mengobati otorrhea. Penelitian tentang aktifitas biologi dan antioksidan dari G. elliptica telah banyak dilakukan. Walaupun demikian penelitian aktivitas antioksidan bunga G. elliptica dari Kalimantan Timur belum dilakukan. Penelitian ini dilakukan untuk menganalisa aktivitas antioksidan ekstrak kasar metanol bunga G. elliptica dari desa Talisayan. Aktivitas antioksidan menggunakan uji penangkapan radikal 2,2-diphenyl-1-picrylhydrazyl (DPPH). Aktivitas penangkapan radikal DPPH dari ekstrak mencapai 89,77% pada konsentrasi 0,0050 mg/ml. Jadi bunga G. elliptica dari Kalimantan Timur berpotensi sebagai sumber antioksidan.
LITERATURE REVIEW: INOVASI PEMBELAJARAN KIMIA BERWAWASAN LINGKUNGAN MELALUI PENDEKATAN GREEN CHEMISTRY Aliah, Nur; Wati, Della Syaras; Nurfitriani, Ditalia; Olii, Nova Yunita Putri; Sukemi, Sukemi
CHEDS: Journal of Chemistry, Education, and Science Vol 8, No 2 (2024)
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/cheds.v8i2.10170

Abstract

Green Chemistry merupakan sebuah konsep yang mengangkat permasalahan terkait dampak lingkungan untuk mengurangi penggunaan bahan berbahaya dengan menggunakan bahan yang lebih ramah lingkungan. Pendidikan mempunyai peranan penting sebagai sarana dan prasarana penyaluran green chemistry untuk meningkatkan sikap peduli lingkungan. Metode penelitian yang digunakan adalah Narrative Literature Review (NLR) dengan mencari artikel jurnal melalui database Google Scholar selama 10 tahun terakhir. Hasil studi literatur menunjukkan bahwa pendekatan green chemistry sebagai inovasi bidang pendidikan mempunyai pengaruh besar terhadap peningkatan pengalaman belajar, penguasaan konsep, motivasi dan hasil belajar siswa serta peningkatan kepedulian terhadap lingkungan. Misalnya saja penggunaan bahan alami terbarukan dibandingkan bahan kimia sintetik di laboratorium. Berbagai fasilitas atau bahan ajar digunakan seperti buku atau e-book, e-modul, dan lembar kerja siswa yang menarik.
Electrospun nylon-6 nanofibers and their characteristics Sriyanti, Ida; Agustini, Meily P; Jauhari, Jaidan; Sukemi, Sukemi; Nawawi, Zainuddin
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 9 No 1 (2020): 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.v9i1.5747

Abstract

The purposes of this research were to investigate the synthesized Nylon-6 nanofibers using electrospinning technique and their characteristics. The method used in this study was an experimental method with a quantitative approach. Nylon-6 nanofibers have been produced using the electrospinning method. This fiber was made with different concentrations, i.e. 20% w/w (FN1), 25% w/w (FN2), and 30% w/w (FN3). The SEM results show that the morphology of all nylon-6 nanofibers) forms perfect fibers without bead fiber. Increasing fiber concentration from 20% w/w to 30% w/w results in bigger morphology and fiber diameter. The dimensions of the FN1, FN2, and FN3 fibers are 1890 nm, 2350 nm, and 2420 nm, respectively. The results of FTIR analysis showed that the increase in the concentration of nylon-6 (b) and the electrospinning process caused a peak shift in the amide II group (CH2 bond), the carbonyl group and the CH2 stretching of the amide III group from small wave numbers to larger ones. The results of XRD characterization showed that the electrospinning process affected the changes in the XRD pattern of nylon-6 nanofiber (FN1, FN2, and FN3) in the state of semi crystal. Nylon-6 nanofibers can be used for applications in medicine, air filters, and electrode for capacitors
Pendampingan Inovasi Kecerdasan Buatan dalam Pengembangan Asesmen Pembelajaran untuk Mendukung Literasi Digital bagi Guru SMP Buchari, Muhammad Ali; Sukemi, Sukemi; Oktadini, Nabila Rizky; Marjusalinah, Anna Dwi; Simarmata, Ruth Helen; Afif, Hasnan
Jurnal Medika: Medika Vol. 4 No. 3 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/7xep0n45

Abstract

The Merdeka curriculum formulates learning that refers to the abilities needed in the era of industrial revolution 4.0 and society 5.0. The assessment is carried out as an effort to measure the level of achievement of learning indicators and collect information on student learning progress in various aspects.  Facts in the field show problems in implementing independent curriculum cognitive assessments in learning. This indicates the high need for preparing independent curriculum assessments, namely diagnostic assessments, formative assessments and summative assessments. Artificial intelligence or Artificial Intelligence (AI) is part of the industrial revolution 4.0 and society 5.0 so that integrating society and technology cannot be avoided.  Artificial Intelligence in mathematics learning has great potential to support learning effectiveness and efficiency. This service is a lecture activity that integrates artificial intelligence evaluation courses into service activities that are integrated with community service. This initiative was implemented to support digital literacy and increase teacher competency in utilizing modern technology, in accordance with the principles of the Independent Curriculum. This activity includes training, mentoring, and evaluation of the use of AI in learning assessment. As a result of this activity, teachers are able to understand the basic concepts of AI, innovation in assessment development, and its implementation in the classroom. Through various face-to-face and online meetings, this activity succeeded in providing new insights for teachers regarding the use of AI technology in learning, although there were challenges related to initial understanding and availability of supporting facilities. With intensive assistance, teachers are able to prepare assessments that are more adaptive and appropriate to student needs, so they are expected to be able to support improving the quality of education in the digital era.
Co-Authors Abunoya, Juleha Ilfri Ade Iriani Sapitri Ade Iriani Sapitri Adha, Syahida Afif, Hasnan Agustina, Reny Agustini, Meily P Ahmad Fali Oklilas Aidil Putrasyah Akbar, M. Agung Andari Andari, Andari Andre Hardoni Anggraeni, Egi Syahrah Angraini, Zihan Nur Apit Fathurohman Apriansyah Putra Aprilisa, Shinta Arif, Ainun Rezkiva Arifian, Hanggara Arni Arni Awaliyah, Nabilah Nailah Ayu Meida Bambang Tutuko Bengawan Alfaresi Buchari, Muhammad Ali Cahyadi, Gabriel Ekoputra Hartono Carunisa, Chofifah Darmawahyuni, Annisa Deviyantoro, Deviyantoro Dian Oktavian Dian Palupi Dian Palupi Rini Dian Palupi Rini Dian Palupi Rini Dian Palupi Rini Dwi Saputri, Rindiani Elza Fitriana Saraswita Endy Suherman Enos Tangke Arung, Enos Tangke Ermatita - Erni Erni Erwin, Erwin Esti Susiloningsih Evi Purnamasari Fadhilah Dirayati Fadhilah Dirayati Fadhilah Dirayati Fadjri, Luthfi Talitha Fairuzy Faisal Fajri Fajri, Faisal Farah Erika Farah, Harra Ismi Fatimah, Neni Hasnah Febriani, Sarah Ferlian Seftianto Fitriah Khoirunnisa Gabriel Ekoputra H.C Gizcha Putri Destriana Gunawan, Rony Hadipurnama Satria Hamid Rahman Hardiman Hardiman Hartandi, Dimas Herliani Herliani Hikmatul Rabiah, Nasya Huda Ubaya Hutauruk, Kevin Jeremia Ida Sriyanti Iis Intan Widiyowati Indah Nuraini, Indah Irfan, Ade Iriyanti, Novia Dwi Irmawati Irmawati Ishmah, Rismananda Islami, Agustina Amalia Ismali, Dicky Taopik Ismali Jaidan Jauhari Johannes Petrus Joko Purnomo Joko Purnomo Kadir, Nurdianah Abdul Kurdiati, Lintang Auliya Kusumattaqiin, Fataa Laode Rijai Larasati, Herlin Alfiana Lestari, Wahyu Yunita Lia Andiani Lia Andiani M. Naufal Rachmatullah Mahmudah, Sofia Maqom Al Mardian, Yessi Maulida Marjusalinah, Anna Dwi Marlina Sylvia Megah Mulya Meily P Agustini muflihah muflihah Muhammad Ridwansyah Muhammad Wahyu Fadli Murniati . Nadia Nadia Norbaiti, Norbaiti Nur Aliah, Nur Nur Apriani Nurfitriani, Ditalia Nursilawati, Nursilawati Octaria, Orissa Oktadini, Nabila Rizky Olii, Nova Yunita Putri Pakaenoni, Frederich Pandito Dewa Putra Parwito Pintaka Kusumaningtyas Prasiwi, Dinar Pratama, Yogi Tiara Purwita, Rahmadina Puspasari, Dewi Puspasari Putri, Noni Khaisha Rahmadani, Agung Rahmatullah, Agung Nugraha Ratna Kusumawardani, Ratna Rengganis, Ajeng Ayu Rifkie Primartha Rifkie Primartha Rindoi, Muhamad Rindoi, Muhammad Riyanto Riyanto RR. Ella Evrita Hestiandari Salam, Supriatno Samsuryadi Samsuryadi Samsyuryadi Samsyuryadi Samsyuryadi Samsyuryadi Sandhira, Aura Chrismania Santi Riana Dewi, Santi Riana Saputri, Deveronica Karning Saputri, Mitha Sari, Eadvin Rosrinda Awang Sela Defi Alib Pradani, Sela Defi Alib Simarmata, Ruth Helen Siti Mariah, Siti Siti Nurmaini Sitti Rahma, Sitti Sobirin Sobirin Sri Lestari Suniyati, Suniyati Syamsiar, Syamsiar Tasya, Indriana Turista, Dora Dayu Rahma Usman Usman Wati, Della Syaras Watulingas, Maasje C. Watulingas, Maasje Catherine Wirhanuddin, Wirhanuddin Yogi Tiara Pratama Yogi Tiara Pratama Yudha Pratomo Yulianti, Evi Yusa Virginiawan Guntara Zainuddin Nawawi