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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Biologi Tropis JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Pengabdian Magister Pendidikan IPA EIGEN MATHEMATICS JOURNAL Jurnal Ilmiah Profesi Pendidikan Jurnal Pijar MIPA
Syamsul Bahri
Universitas Mataram
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Immunology & microbiology Materials Science & Nanotechnology Mathematics Physics

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Pengaruh Penggunaan Media Belajar Peta Konsep Terhadap Hasil Belajar Biologi Pada Materi Ekosistem Kelas X di SMA Negeri 1 Sape Uswatun Hasanah; Muhlis Muhlis; Syamsul Bahri
Jurnal Ilmiah Profesi Pendidikan Vol. 8 No. 1 (2023): Februari
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v8i1.1081

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan media belajar peta konsep terhadap hasil belajar peserta didik pada materi ekosistem kelas X SMAN 1 Sape. Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian Quasi Eksperimental Design dengan pendekatan kuantitatif yang terdiri dari 2 tahap yakni uji validitas oleh dosen ahli dan uji validitas empiris. Metode pengumpulan data dalam penelitian ini berupa observasi, tes hasil belajar kognitif peserta didik, lembar keterlaksanaan RPP dan dokumentasi. Hasil penelitian ini adalah berupa analisis belajar kognitif  diperoleh dari uji  berupa soal pilihan ganda. penelitian ini mampu meningkatkan hasil belajar peserta didik dengan rata-rata pada kelas eksperimen 39,03 dan 25,96 pada kelas kontrol, sedangkan  data hasil keterlaksanaan RPP diperoleh dari uji non-tes berupa lembar observasi yang diberi tanda cheek-list oleh observer dengan nilai maksimal 100 dan minimum 79,9. Uji hipotesis menggunakan Uji-test paired sample test pada taraf siginifikansi 0,05. Data penelitian menunjukan bahwa hasil belajar kognitif peserta didik pada kelas ekperimen yakni pre-test 33,23 dan post-test 72,09, sedangkan pada kelas Kontrol yakni Pre-test 33,39 dan Pos-test 58,71. Berdasarkan hasil penelitian tersebut dapat disimpulkan bahwa kegiatan pembelajaran dengan menggunakan media belajar peta konsep meningkatkan hasil belajar peserta didik pada materi ekosistem secara signifikan.
Perbandingan Hasil Belajar Biologi Siswa SMAN 1 Praya Tengah Tahun Ajaran 2022/2023 yang Menggunakan Model Kooperatif Tipe Jigsaw dengan Investigasi Kelompok (KI) Berbantuan Media Audio Visual Nana Eliana; Baiq Sri Handayani; Syamsul Bahri
Jurnal Ilmiah Profesi Pendidikan Vol. 8 No. 3 (2023): Agustus
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jipp.v8i3.1548

Abstract

Dunia saat ini berada pada era revolusi 4.0 dimana sebagian besar aktivitas manusia berbasis teknologi. Tinggi rendahnya suatu Pendidikan di suatu negara menjadi salah satu tolak ukur kemajuan suatu negara, hal tersebut menjadi tekenan besar bagi Pendidikan Indonesia untuk terus berupaya meningkatkan mutu Pendidikan sesuai dengan tuntutan zaman. Penelitian ini bertujuan untuk mengetahui perbedaan hasil belajar biologi SMAN 1 Praya Tengah tahun ajaran 2022/2023 yang menggunakan model kooperatif tipe jigsaw dengan tipe investigasi kelompok (KI) berbantuan media audio visual (video). Jenis penelitian ini adalah penelitian kuantitatif dengan motode quasi eksperimen (Eksperimen semu). Teknik pengambilan sampel di lakukan dengan purposive sampling. Hasil penelitian menunjukkan bahwa pada kelas jigsaw diperoleh nilai rata-rata hasil post-test sebesar 76,24 sedangkan pada kelas investigasi kelompok (KI) diperoleh rata-rata sebesar 76,73. Bedasarkan uji t pada taraf signifikansi 5% memperlihatkan tidak terdapat perbedaan hasil belajar biologi siswa SMAN 1 Praya Tengah tahun ajaran 2022/2023 yang menggunakan model kooperatif tipe jigsaw dangan tipe investigasi kelompok (KI) berbantuan audio visual.
The Effect of Learning Cycle 5E Model on the Scientific Literacy of 10th Grade Students Ayu Muliana; A. Wahab Jufri; Syamsul Bahri
Jurnal Penelitian Pendidikan IPA Vol 10 No 9 (2024): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i9.8415

Abstract

This study aims to determine the effect of the Learning Cycle 5E model on the scientific literacy of tenth-grade students at SMA Negeri 2 Labuapi in 2024. This research employs a quasi-experimental design with Pre-Test and Post-Test Non-Equivalent Control-Group. The study population comprises 92 students divided into four classes (XA, XB, XC, XD). Random sampling was used to select two classes as the sample, totaling 44 students, with class XC as the experimental group and class XB as the control group. The instrument used was essay-type questions. Data on students’ scientific literacy were collected from the Pre-Test and Post-Test results in both classes and analyzed using the Mann-Whitney test at a 5% significance level with SPSS 16.0. The test results indicated a p value of <0.05 (0.024<0.05), suggesting that the Learning Cycle 5E model has a significant effect on students’ scientific literacy.
Identifikasi Jenis Kerusakan Perkerasan Jalan Menggunakan Metode Single Shot Detector Guna Meningkatkan Infrastruktur Pariwisata Tri Maryono Rusadi; Syamsul Bahri; Bulqis Nebulla Syechah; Muhammad Rijal Alfian; Nuzla Af’idatur Robbaniyyah
Jurnal Rekayasa Teknologi Informasi (JURTI) Vol 10, No 3 (2026): Jurnal Rekayasa Teknologi Informasi (JURTI)
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jurti.v10i3.26809

Abstract

Kerusakan jalan pada kawasan pariwisata perlu diidentifikasi secara cepat dan akurat untuk mendukung keselamatan serta kualitas infrastruktur. Penelitian ini mengembangkan sistem identifikasi kerusakan perkerasan jalan berbasis citra digital menggunakan metode Single Shot Detector (SSD) dengan backbone MobileNet. Data diperoleh melalui perekaman video permukaan jalan, kemudian diekstraksi menjadi citra dan diproses melalui tahapan preprocessing seperti peningkatan kontras, penajaman, noise filtering, dan kompresi. Dataset terdiri dari empat jenis kerusakan—berlubang, bergelombang, amblas, dan retak kulit buaya—dengan total 978 citra yang dibagi menjadi data latih, validasi, dan uji. Hasil pengujian menunjukkan bahwa model SSD-MobileNet menghasilkan akurasi terbaik sebesar 80,41% pada batch size 64, dengan nilai mean Average Precision (mAP) 88,35%. Evaluasi lebih lanjut menunjukkan bahwa jenis kerusakan berlubang memiliki performa deteksi terbaik dengan nilai recall 92% dan F1-score 83,64%, sedangkan kerusakan amblas memiliki nilai terendah namun tetap berada di atas 50%. Temuan ini menunjukkan bahwa model mampu mengidentifikasi kerusakan jalan secara efektif dan berpotensi diterapkan dalam sistem pemantauan infrastruktur berbasis citra digital untuk mendukung pembangunan daerah pariwisata.
Breast Cancer Classification Model Using Decision Tree Algorithm Nuzla Af&#039;idatur Robbaniyyah; Ismi Asmawati; Syamsul Bahri
Jurnal Matematika, Statistika dan Komputasi Vol. 22 No. 3 (2026): May 2026
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v22i3.49472

Abstract

Cancer is a disease characterized by the presence of abnormal cells or tissues that grow rapidly, uncontrollably, can spread to other parts of the patient's body and it can also sometimes be malignant. According to the International Agency for Research on Cancer, in 2024 breast cancer will rank second in terms of the highest number of cases and fourth as the leading cause of death globally. The objective of this study is to apply the Classification and Regression Tree (CART) decission tree algorithm to a breast cancer classification model based on patient medical records. The model developed has a specificity of 95.77%, recall, precision, and F1-Score of 93.02%, and accuracy of 94.74%. The model was evaluated using a confusion matrix to measure its performance. Thus, the CART algorithm can be applied in classification models, and the resulting model is considered optimal as it achieves percentages within the 90%-100% range for all performance evaluation metrics.  
Modifikasi Algoritma Edmonds Karp untuk Menentukan Aliran Maksimum Pada Jaringan Distribusi Air PDAM (Studi Kasus Jaringan Telaga Sari PDAM Giri Menang Mataram) Husnul Hotimah; Syamsul Bahri; Lailia Awalushaumi
Eigen Mathematics Journal Vol 6 No 2 (2023): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v6i2.134

Abstract

Clean water is the main and basic need for humans which is of concern to the government. Distribution network system is a very important part to delivering water to all consumers. The lack of water discharge distribution in several areas, especially at the end of the pipeline service, is cause by not optimal water distribution, the flow rate of sorce and leak in pipeline effect. This research has to analyze the optimal network model and determine the maximum flow rate from the PDAM pipeline using modified Edmonds Karp algorithm. Modified Edmonds Karp algorithm is a method for calculating maximum flow of a network. Based on analysis of modified Edmonds Karp algorithm there is a less efficient us of pipe in PDAM network and result of maximum flow from the network is 202,30 liter/second. This means it can be adding flow discharge to the water distribution pipe by PDAM for expedite the flow to consumer with the addition of flow should not exceed 202,30 liter/second.
Forecasting Non-Metal and Rock Mineral (MBLB) Tax Revenue Using the Fuzzy Time Series Markov Chain Method in East Lombok Regency Baiq Siti Patimah Zohrah; Syamsul Bahri; Zulhan Widya Baskara
Eigen Mathematics Journal Vol 7 No 1 (2024): June
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i1.171

Abstract

Indonesia is one of the countries that is included in a developing countries. Therefore, the Indonesian Goverment is trying to carry out various developments in various regions. Regional development is one of the Indonesian government’s ways of achieving national goals. In carrying out regional development, of course funds are needed as the main source to support the achievement of national development. The main source of funds obtained by the Government comes from Regional Oroginal Income. One source of Regional Oroginal Income is tax. There are various types of taxes managed by the government in East Lombok Regency. One of them is the Non-Metal Minerals and Rocks, which is a tax on the extraction of non-metallic minerals and rock Tax, which is a tax on the extraction of of non-metallic minerals and rocks from natural sources within or on the surface of the earth for use. This Non-Metal and Rock Mineral tax provides quite large revenues for East Lombok district regional taxes. Non-Metal and Rock Mineral tax income is often not constant, meaning that there is an increases and there is a decreases in the amount of income. For this reason, it is necessary to forecast Non-Metal and Rock Mineral tax revenue to predict income in the future. The method used in this study is the FTS Markov Chain order 1 and order 2. Based on the MAPE indicator, the results of forecasting using the FTS Markov Chain method of order 1 amounted to Rp. 1.117.069.497 with an accuracy of 48,55% with a just good forecasting classification. While the results of forecasting using the FTS Markov Chain method of order 2 amounted to Rp.1.761.652.173 with an accuracy of 39,12% with a just good forecasting classification. If seen from the MAPE value obtained, the forecasting results using the 2nd order FTS Markov Chain are more accurate than using the 1st order Markov Chain FTS method.
Co-Authors A. Wahab Jufri AA Ayu Trisna Handayani Agus Ramdani Aris Doyan Ayu Muliana Baiq Siti Patimah Zohrah Baiq Sri Handayani Dadi Setiadi Devi Ayu Septiani Dewa Ayu Citra Rasmi Faradilla Ngesti Habibah Fidiani Fidiantara Fuad Tamami Harry Soeprianto Hermansyah Hermansyah Husnul Hotimah I Gde Mertha I Wayan Merta Irmayani Irmayani Ismi Asmawati Jamaluddin Jamaluddin Jami'atul Aulia Lailia Awalushaumi Lalu Japa Lalu Raftha Patech Lalu Septiadi Wirandanu Lalu Zulkifli Linda Apriliani Mahrus Mahrus Medina Adrianti Miqro' Fajari Lathifah Muhammad Rijal Alfian Muhlis Muhlis Mujitahid Mujitahid Nana Eliana Ni Luh Putu Pebri Artayani . Ni Putu Maitri Vidya Cita Riesky Nuri Yanti Apriliya Nuzla Af&#039;idatur Robbaniyyah Nuzla Af’idatur Robbaniyyah Prapti Sedijani Prapti Sedijani Prapti Sedijani Rabiatul Adawiyah Rika Ratnasari Siswadi Siswadi Susilawati - Tri Maryono Rusadi Ulfah Nurkhaeroni Uswatun Hasanah Yufika Dewi Muksin Yunisa Sucitra Zulhalifah Zulhalifah