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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) ComEngApp : Computer Engineering and Applications Journal Jurnal Rekayasa Mesin Jurnal Energi Dan Manufaktur AUSTENIT Jurnal Mechanical Proceeding of the Electrical Engineering Computer Science and Informatics Science and Technology Indonesia Prosiding Seminar Nasional Teknoka Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Engineering and Science (IJES) Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Bulletin of Applied Mathematics and Mathematics Education Jurnal Pelita Sriwijaya Prosiding Seminar Nasional Unimus
Irsyadi Yani
Department Of Mechanical Engineering, Faculty Of Engineering, Sriwijaya University, Palembang, 30139, Indonesia
Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Other

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DAMPAK PENGENALAN SOFTWARE GEOGEBRA TERHADAP KEMAMPUAN LITERASI NUMERASI SISWA SEKOLAH MENENGAH ATAS Eliyati, Ning; Resti, Yulia; Zayanti, Des Alwine; Kresnawati, Endang Sri; Andriani, Yuli; Syahbana, Ali; Yani, Irsyadi
Jurnal Lentera Nusantara Vol 3 No 1 (2024): Jurnal Pelita Sriwijaya: in progress
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/jps.v3i1.133

Abstract

Pengenalan software Geogebra dalam pembelajaran matematika di sekolah menengah memungkinkan untuk mendukung kemampuan literasi numerasi mereka. Pada kegiatan ini Geogebra dikenalkan kepada siswa-siswa SMA-SMK Kartini Palembang. Penguasaan tentang konsep dasar matematika seperti sudut, garis sejajar, garis tegak lurus, garis singgung, lingkaran, persamaan, pertidaksamaan, dan fungsi merupakan pondasi dalam mempelajari materi lebih lanjut guna menunjang kemampuan litersi numerasi. Selanjutnya pengayaan diberikan kepada khalayak sasaran dengan mengenalkan Geogebra. Uji beda rata-rata kedua kelompok nilai pra-test dan post-test dengan tingkat signifikansi 5 % menunjukkan bahwa kedua kelompok memiliki perbedaan yang signifikan. Hasil ini juga menginfomasikan bahwa rata-rata nilai post-test belum secara signifikan mengalami peningkatan. Peningkatan kemampuan literasi dan numerasi khalayak sasaran belum cukup memuaskan. Hasil rata-rata post-test yang mencapai nilai 70.80 dari semua peserta/khalayak sasaran juga menunjukkan bahwa kriteria dan indikator pencapaian tujuan yaitu lebih dari 80% khalayak sasaran berhasil mengerjakan semua soal pada post-tes, namun rata-rata hasil tes khalayak sasaran lebih dari 80 belum tercapai. Artinya kegiatan sejenis perlu lebih banyak lagi diadakan di sekolah tersebut.
MENINGKATKAN NILAI EKONOMIS KALENG BEKAS MELALUI PRODUK KERAJINAN TANGAN Yani, Irsyadi; Barlin, Barlin; Zulkarnain, Zulkarnain; Marwani, Marwani; Ellyanie, Ellyanie; Astuti, Astuti; Puspitasari, Dewi; Eka Utami, Nurhabibah Paramitha; Basri, Hasan; Firdaus, Aneka; Saputra, M. A. Ade
Jurnal Lentera Nusantara Vol 3 No 1 (2024): Jurnal Pelita Sriwijaya: in progress
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/jps.v3i1.137

Abstract

Seiring dengan perkembangan zaman, penggunaan kaleng untuk makanan, minuman, dan berbagai wadah lainnya semakin meningkat, sejalan dengan bertambahnya sampah kaleng yang dihasilkan. Limbah kaleng merupakan jenis limbah anorganik yang sulit terurai secara alami. Pengelolaan limbah kaleng yang tidak tepat dapat menyebabkan kerusakan lingkungan. Jika dimanfaatkan dengan baik, limbah kaleng bisa bernilai ekonomis, namun diperlukan pengetahuan, kreativitas, dan keterampilan yang memadai. Di Kelurahan Timbangan Kecamatan Indralaya Utara, Ogan Ilir, terdapat banyak tempat umum yang berpotensi menghasilkan sampah kaleng, seperti pasar, sekolah, kampus, SPBU, hotel, penginapan, rumah makan, dan lainnya. Program pengabdian kepada masyarakat ini bertujuan untuk memberikan penyuluhan dan peragaan tentang cara membuat kerajinan tangan dari limbah kaleng bagi masyarakat di Kelurahan Timbangan Kecamatan Indralaya Utara, Ogan Ilir, sehingga mereka dapat membuat produk kerajinan tangan bernilai ekonomis secara mandiri.
Palm Stearin as Alternative Binder for MIM: A Review Arifin, Amir; Sulong, Abu Bakar; Gunawan, Gunawan; Mohruni, Amrifan Saladin; Yani, Irsyadi
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 7 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v7i1.496

Abstract

Palm stearin is one of the fractionation process results from palm oil that is the largest commodities in the world. It has potentially as an alternative of binder in metal injection molding based on researches that conducted in Malaysia. Palm stearin can be combined with other binder to be a binder system with the function as lubricant and surfactant in a binder system. Based on experiments showed Palm stearin has fulfilled requirement as binder in MIM such as pseudoplastic behavior from rheological test and homogeneity of the feedstock. Palm stearin can replace conventional binders that commonly used in industry.
Ensemble Method of Multiple Decision Trees with Crisp and Fuzzy Discretization for Axial Surface Roughness Prediction Resti, Yulia; Yani, Irsyadi; Puspitasari, Dewi; Thamrin, Ismail; Saputra, M.A. Ade
Science and Technology Indonesia Vol. 10 No. 3 (2025): July
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.2025.10.3.678-689

Abstract

AISI 1045 is a steel used to make engine components for motor vehicles and aircraft. The quality of AISI 1045 is influenced by its surface roughness, both axial and tangential. The prediction of AISI 1045 surface roughness aims to produce quality products in a shorter time and at a lower cost. The axial surface roughness is in the form of certain grades according to ISO. This method is a prediction technique that combines several single prediction models to obtain better prediction results. In this work, the ensemble method is built using a voting system from an odd number of single prediction models of the decision trees. The proposed Single Model consists of one decision tree model with crisp discretization (DT1) and three models with fuzzy discretization (DT2, DT3, and DT4). The research data were obtained through experiments measuring the axial surface roughness of AISI 1045 steel using a wet machining system by considering cutting speed, feed motion, axial depth of cut, and tangential surface roughness. The study’s results indicate that not all proposed ensemble models are built to have better performance than single prediction models. Of the four proposed single prediction models, only one model has an accuracy above 80%, namely the decision tree model with fuzzy discretization using a combination of linear-trapezoidal fuzzy membership functions (DT4 model). The model performance based on accuracy, recall, precision, F1-score, and AUC is 80.73%, 48.53%, 73.47%, 58.44%, and 67.72%, respectively. For the four ensemble models formed from the combination of three Single decision tree models, only the combination of DT1, DT2, and DT3 does not perform better than the Single model. The other three ensemble methods have better accuracy, recall, and AUC than the performance of all proposed Single models with values of 81.33 - 82.67%, 51.62 - 55.19%, and 69.04 - 71.02%, respectively.
The Symmetric Pattern Fuzzy Discretizationin Predicting Plastic Type for a Sorting System Using Decision Tree Methods Yani, Irsyadi; Marwani; Puspitasari, Dewi; Resti, Yulia
Science and Technology Indonesia Vol. 10 No. 3 (2025): July
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.2025.10.3.789-801

Abstract

Plastics made from petroleum as the main ingredient cannot decompose quickly like organic materials, but rather take 500 years to 1000 years. Recycling plastic waste can significantly reduce the negative impacts that damage the environment. In addition, it can also reduce the use of natural resources as raw materials and energy use in the extraction process from mining to ready-for-use. In the process of recycling plastic bottle waste in industry, a sorting system is needed to sort the types of plastic bottle waste automatically, effectively, and efficiently. The system needs a prediction model with satisfactory performance. This research aims to build the prediction models of a plastic bottle waste sorting system with a fuzzy approach using the Decision Tree method. The main focus is fuzzy discretization with asymmetric pattern where the membership functions for the first and the last categories are balanced. Seven Decision Tree models are proposed in this study, six models with symmetric fuzzy discretization and one model with crisp discretization as a comparison. Three types of plastics are the objects of the study, namely Polyethylene Terephthalate (PET/PETE), High-Density Polyethylene (HDPE), and Polypropylene (PP). All three are types of plastics that are widely found in household waste. The unique contribution of this paper is that the symmetric pattern fuzzy discretization in the decision tree method can improve the performance of the decision tree model, but the combination of fuzzy membership functions used also contributes. Not all combinations used can improve the performance of the prediction model. Four of six models of symmetric fuzzy discretization have better performance than the decision tree model with crisp discretization. The combination of fuzzy membership functions consisting of linear and triangular functions provides the highest performance. Two models that do not perform better than crisp discretization are the linear-trapezoidal combination and the linear-Gaussian combination.
Comparing the performance of DTID3 and DTID3-Smote methods in predicting the rain events with unbalanced classes Zayanti, Des A.; Eliyati, Ning; Resti, Yulia; Hoiri, Sajiril; Kresnawati, Endang S.; Dewi, Novi R.; Amran, Ali; Yani, Irsyadi
Bulletin of Applied Mathematics and Mathematics Education Vol. 5 No. 1 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bamme.v5i1.13122

Abstract

Prediction of rainfall events in a region is important for many aspects of life. However, the majority of datasets that predict rainfall events have an unbalanced distribution of observations in their classes, including the Prabumulih city dataset, South Sumatra. DTID3 provides very satisfactory performance in many cases of prediction, while the Smote technique is useful for balancing the distribution of data classes.  This study aims to compare the performance of the DTID3 and DTID3-Smote methods in predicting rainfall events in Prabumulih City.  The main contribution of this study compared to previous studies is that the DTID3 and Smote methods are used together to predict rainfall events, especially in Prabumulih City. Using training data from 2017-2022 and test data from 2023, the results show that the DTID3-Smote method has a better performance measure than the decision tree method in predicting rainfall events in Prabumulih City. In the decision tree method, the accuracy, precision, recall, specificity, and f1-score metrics are 73.56%, 81.91%, 50.94%, 91.22%, and 62.81%, respectively. In the decision tree-SMOTE method, the values ​​are respectively 74.66%, 82.61%, 53.44%, 91.22%, and 64.9%.
SOSIALISASI PENTINGNYA PENERAPAN KESELAMATAN, KESEHATAN KERJA DAN LINGKUNGAN (K3L) DI INDUSTRI KECIL MESIN PERKAKAS Yanis, Muhammad; Mohruni, Amrifan Saladin; Basri, Hasan; Firdaus, Aneka; Yani, Irsyadi; Saputra, M. A. Ade; Adanta, Dendy; Resti, Yulia; Yuliasari, Nova; Sari, Dewi Puspita; Teguh Prakoso, Akbar
Jurnal Lentera Nusantara Vol 4 No 1 (2025): Jurnal Pelita Sriwijaya
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/jps.v4i1.179

Abstract

Keselamatan, Kesehatan Kerja dan Lingkungan (K3L) merupakan faktor penting dalam menciptakan tempat kerja yang aman, produktif, dan ramah lingkungan. Penerapan K3L di industri kecil mesin perkakas masih sering terabaikan karena kurangnya pemahaman terhadap risiko akibat kerja dan dampak lingkungan. Kegiatan pengabdian ini melakukan sosialisasi pentingnya penerapan K3L bagi pelaku usaha kecil mesin perkakas. Metode kegiatan meliputi pemaparan materi, diskusi-tanya jawab dan evaluasi serta hibah APD. Tempat kegiatan di bengkel las dan bubut Tris yang berada di Kelurahan Kebun Bunga Palembang. Kegiatan sosialisasi menunjukkan peningkatan pemahaman dan kesadaran bahaya di tempat kerja, pentingnya penggunaan APD, dan pengelolaan limbah yang bertanggung jawab. Dari semua materi yang disampaikan, terjadi peningkatan pemahaman rata-rata sebesar 33.3%. Sosialisasi dapat meningkatkan kesadaran K3L secara signifikan, namun agar penerapan secara konsisten maka perlu program lebih berdampak seperti pendampingan dan dukungan berkelanjutan.
PENGENALAN KONSEP HIMPUNAN FUZZY DALAM MENDUKUNG LITERASI SAINS DAN NUMERASI Resti, Yulia; Zayanti, Des A.; Kresnawati, Endang S.; Eliyati, Ning; Yani, Irsyadi
Jurnal Lentera Nusantara Vol 4 No 1 (2025): Jurnal Pelita Sriwijaya
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/jps.v4i1.180

Abstract

Literasi sains dan numerasi diperlukan masyarakat modern untuk menghadapi berbagai permasalahan ilmu pengetahuan dan teknologi. Sayangnya berdasarkan tes PISA, literasi sains dan numerasi anak-anak Indonesia tergolong sangat rendah. Guna mendukung literasi sains dan numerasi, pada kegiatan ini, konsep himpunan fuzzy dikenalkan kepada siswa-siswa SMA-SMK Kartini Palembang. Penguasaan tentang konsep keanggotaan himpunan secara umum (himpunan crisp) dan keanggotaan himpunan fuzzy beserta contoh nyata dalam kehidupan sehari-hari diberikan kepada siswa untuk memberikan kemudahan dalam memahami materi. Penilaian kemampuan diberikan dalam bentuk pra-test dan post test. Hasil kegiatan menunjukkan bahwa literasi sains dan numerasi khalayak sasaran meningkat signifikan. Uji beda rata-rata kedua kelompok nilai pra-test dan post-test dengan tingkat signifikansi 5 % untuk khalayak sasaran menunjukkan bahwa kedua kelompok memiliki perbedaan yang signifikan, Hasil ini juga menginfomasikan bahwa rata-rata nilai post-test secara signifikan mengalami peningkatan. Artinya kegiatan kegiatan pengabdian kepada masyarakat ini memberikan implikasi yang signifikan terhadap peningkatan kemampuan literasi dan numerasi mereka.
PENGUATAN LITERASI SAINS MELALUI PENGENALAN METODE STATISTIKA UNTUK DATA HILANG Kresnawati, Endang S.; Resti, Yulia; Dewi, Novi R.; Yani, Irsyadi; Marwani, Marwani
Jurnal Lentera Nusantara Vol 4 No 1 (2025): Jurnal Pelita Sriwijaya
Publisher : Asosiasi Peneliti Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51630/jps.v4i1.181

Abstract

Kemampuan literasi sains yang baik berkontribusi secara signifikan terhadap kemajuan bangsa. Sebagai generasi penerus, sepatutnya siswa Sekolah Mengengah Atas (SMA) dibekali banyak pengetahuan guna meningkatkan literasi sains yang mereka miliki termasuk dalam menangani data atau pengamatan yang hilang, mengingat saat ini merupakan era big data. Kegiatan pengabdian yang dilaksanakan ini bertujuan mengenalkan metode-metode statistika dalam mengatasi data hilang. Pengetahuan ini diharapkan dapat menguatkan literasi sains siswa SMA Kartini Palembang, yang merupakan sekolah swasta yang berada sekitar 1 km di belakang kampus Universitas Sriwijaya. Sekolah ini memiliki akreditasi B dan fokus untuk peminatan IPA. Berdasarkan pra-test dan post-test terkait pengetahuan dasar tentang metode statistika dalan menangani daa hikang, hasil kegiatan menunjukkan bahwa literasi sains dan numerasi khalayak sasaran meningkat signifikan. Uji beda rata-rata kedua kelompok nilai pra-test dan post-test dengan tingkat signifikansi 5 % untuk khalayak sasarn menunjukkan bahwa kedua kelompok memiliki perbedaan yang signifikan, Hasil ini juga menginfomasikan bahwa rata-rata nilai post-test secara signifikan mengalami peningkatan. Artinya kegiatan kegiatan pengabdian kepada masyarakat ini memberikan implikasi yang signifikan terhadap peningkatan kemampuan literasi dan numerasi mereka.
Co-Authors Ade Silvia Ade Silvia Ade Silvia Handayani Agung Mataram Ahmad Irham Jambak Akbar Teguh Prakoso Ali Amran Ali Syahbana Alwine Zayanti, Des Amir Arifin Amir Arifin Amrifan Saladin Mohruni Aneka Firdaus Ansyori Ansyori Ansyori Ansyori Ansyori Yani Anthony Costa Astuti - Astuti Astuti Bambang Suprihatin Barlin Barlin Barlin Barlin Barlin Oemar Chandra Irsan Chandra Irsan Chandra Irsan Dendy Adanta Des Alwine Zayanti Des Alwine Zayanti, Des Alwine Des Alwine Zayantii Dewi Puspita Sari Dewi Puspitasari Dewi Puspitasari Dewi, Novi R. Dewi, Tresna Donny Sahala Tua Sitorus Eka Utami, Nurhabibah Paramitha Ekawati Prihatini Ellyanie Ellyanie Eric Rahman Fadhian Fadhillah Siregar Falah Yuridho Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Gunawan Gunawan Gunawan Gunawan Gunawan Gunawan gustini gustini Hasan Basri Hasan Basri helena astari Hoiri, Sajiril Husni, Nyayu Latifah Husni, Nyayu Latifah Indah Meiliana Sari Irmawan Irmawan Ismail Thamrin Ivfransyah Jeremy Firdaus Latif Jhosua Arie S Jhosua Arie Swandi Kaprawi Kaprawi Kresnawati, Endang S. Lugantha Perkasa M. A. Ade Saputra M.A. Ade Saputra MARWANI Marwani Marwani, Marwani Mega Tiara Putri MS, Firdaus Muflika Amini Muhammad Dahlan Muhammad Yanis Ning Eliyati Nova Yuliasari Novi Rustiana Dewi Nukman Nukman Nukman Nurhabibah Paramita Eka Utami Nyayu Latifah Husni Nyayu Latifah Husni, Nyayu Latifah Rahmayani, Mau’izatil Resnawati Rossi Passarella Saputra, M. A. Ade Saputra, M.A. Ade Setyo Cahyono, Endro Siti Nurmaini Sri Kresnawati, Endang Sulong, Abu Bakar Teguh Prakoso, Akbar Tresna Dewi Yuli Andriani Yulia Resti Zayanti, Des A. Zulkarnain Ali Leman Zulkarnain Zulkarnain Zulkarnain Zulkarnain