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All Journal Berkala Ilmiah Pendidikan Biologi (BioEdu) BAREKENG: Jurnal Ilmu Matematika dan Terapan
Purwanti, Ida
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Transportation

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PEMODELAN ARUS LALU LINTAS DAN WAKTU TUNGGU TOTAL OPTIMAL DI PERSIMPANGAN JL. JEMUR ANDAYANI AHMAD YANI SEBAGAI UPAYA MENGURAI KEMACETAN Farida, Yuniar; Fanani, Aris; Purwanti, Ida; Wulandari, Luluk; Zaen, Nanida Jenahara
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 3 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (958.491 KB) | DOI: 10.30598/barekengvol14iss3pp387-396

Abstract

One crossroad of ​​Surabaya whose high level of congestion is the crossing of Jemur Andayani – Ahmad Yani Street. It needs to Improve traffic management, geometric, and signal time to obtain optimal traffic performance. The purpose of this study is to make a model of traffic flow and determine the optimal total waiting time at the crossing of Jemur Andayani – Ahmad Yani using Compatible Graph. Compatible graphs are two sets where vertices indicate objects to be arranged and edges indicate compatible pairs of objects. Compatible traffic flow is two traffic flows which if both of them run simultaneously can run safely and not collide. The results of the optimal waiting time calculation using a compatible graph assuming the left turn following the lamp is 75 seconds. While the optimal total waiting time by assuming the left turn not following the lights is 60 seconds. The optimal total waiting time is smaller than the actual total waiting time currently applied at Frontage Ahmad Yani street, which is 170 seconds by assuming turn left following the lights.
COMPARING GAUSSIAN AND EPANECHNIKOV KERNEL OF NONPARAMETRIC REGRESSION IN FORECASTING ISSI (INDONESIA SHARIA STOCK INDEX) Farida, Yuniar; Purwanti, Ida; Ulinnuha, Nurissaidah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (715.853 KB) | DOI: 10.30598/barekengvol16iss1pp321-330

Abstract

ISSI reflects the movement of sharia stock prices as a whole. It is necessary to forecast the share price to help investors determine whether the shares should be sold, bought, or retained. This study aims to predict the value of ISSI using nonparametric kernel regression. The kernel regression method is one of the nonparametric regression methods used to estimate conditional expectations using kernel functions. Kernel functions used in this study are gaussian and Epanechnikov kernel functions. The estimator used is the estimator Nadaraya-Watson. This study aims to compare the two kernel functions to predict the value of ISSI in the period from January 2016 to October 2019. The analysis results obtained the best method in predicting ISSI values, namely nonparametric kernel regression using Nadaraya-Watson estimator and Gaussian kernel function with the MAPE value of 15% and the coefficient of determination of 85%. Independent variables that significantly affect ISSI are interest rates, exchange rates, and inflation. Curve smoothing is done using bandwidth value (h) searched by the Silverman rule. The calculation result with the Silverman rule obtained a bandwidth value of 101832.7431.
Pengembangan Media Kanobi (Kartu Uno Biologi) untuk Melatihkan Keterampilan Berpikir Analisis Peserta Didik Kelas XI SMA pada Materi Sel Purwanti, Ida; Trimulyono, Guntur
Berkala Ilmiah Pendidikan Biologi (BioEdu) Vol. 13 No. 1 (2024)
Publisher : Program Studi Pendidikan Biologi, FMIPA, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/bioedu.v13n1.p187-196

Abstract

Keterampilan berpikir analisis merupakan suatu keterampilan untuk mencapai kemampuan berpikir tingkat tinggi yang meliputi beberapa proses kognitif yang terdiri dari membedakan, mengorganisasikan, dan mengatribusi. Pada materi sel keterampilan berpikir analisis peserta didik masih tergolong rendah, oleh karena itu dibutuhkan media untuk melatihkan keterampilan berpikir tersebut. Penelitian ini bertujuan untuk menghasilkan media Kanobi (Kartu Uno Biologi) sebagai media ajar pada materi sel kelas XI SMA yang layak ditinjau dari aspek validitas, kepraktisan, dan efektifitas. Penelitian pengembangan ini menggunakan model pengembangan ADDIE yang terdiri dari tahap analisis, desain, pengembangan, implementasi, dan evaluasi. Uji coba terbatas dilaksanakan terhadap 20 peserta didik kelas XI SMA. Validitas media Kanobi diperoleh dari penilaian tiga validator menggunakan instrumen lembar validasi. Kepraktisan media Kanobi dilihat dari keterlaksanaan aktivitas dan respons peserta didik. Keefektifan media Kanobi dilihat dari hasil belajar peserta didik. Teknik pengumpulan data menggunakan metode validasi, observasi, tes, dan angket. Validitas media Kanobi memperoleh skor sebesar 3,86 dengan kategori sangat valid. Kepraktisan media Kanobi pada keterlaksanaan aktivitas persentase sebesar 98% dengan kategori sangat praktis dan diperkuat dengan hasil respons peserta didik memperoleh persentase sebesar 98% dikategorikan sangat praktis. Keefektifan media Kanobi pada ketuntasan dan peningkatan hasil belajar memperoleh skor N-gain sebesar 0,73 dengan kategori tinggi. Hasil penelitian ini menunjukkan bahwa media Kanobi dinyatakan layak diterapkan dalam pembelajaran.Kata Kunci: berpikir analisis, materi sel, hasil belajar, kanobi
Co-Authors Aris Fanani Guntur Trimulyono LULUK WULANDARI Nurissaidah Ulinnuha Yuniar Farida, Yuniar Zaen, Nanida Jenahara