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All Journal Jurnal Ilmu Komputer dan Informasi Journal on Mathematics Education (JME) Journal on Mathematics Education (JME) CommIT (Communication & Information Technology) Jurnal Ilmiah Kursor Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Sistem Cerdas MATHunesa: Jurnal Ilmiah Matematika Edukasia: Jurnal Pendidikan dan Pembelajaran Jurnal Sistem Informasi Journal on Mathematics Education
Elly Matul Imah
Universitas Negeri Surabaya
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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SISTEM INFORMASI RUTE WISATA DI KOTA SURABAYA MENGGUNAKAN ALGORITMA DIJKSTRA DENGAN GRAF REDUKSI ALFATARA NURUS SAADAH; ELLY MATUL IMAH
MATHunesa: Jurnal Ilmiah Matematika Vol 6 No 2 (2018)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (758.843 KB)

Abstract

Salah satu manfaat dari perkembangan teknologi adalah penggunaan Google Maps, yang membuat tempat wisata di Kota Surabaya sudah banyak dieksplor oleh para wisatawan.Namun, kemacetan yang terjadi di Kota Surabaya menjadi masalah para wisatawan.Pencarian rute wisata terpendek untuk mengunjungi suatu tempat wisata adalah solusi yang sangat tepat.Masalah ini dapat diselesaikan dengan algoritma Dijkstra dengan graf reduksi. Dalam proses pencarian rute wisata terpendek, sebuah graf yang merepresentasikan 25 tempat wisata di Surabaya harus direduksi menggunakan aturan reduksi fork closed rule terlebih dahulu untuk mempercepat proses pencarian menggunakan algoritma Dijkstra. Dengan adanya sistem informasi rute wisata terpendek di kota Surabaya, pencarian rute wisata lebih cepat dan efisien dengan kompleksitas waktu sebesar O(78+13^2) = 247dan dapat memudahkan masyarakat umum yang membutuhkan lintasan terpendek untuk menuju tempat – tempat wisata di Kota Surabaya.
Studi Komparasi Algoritma Klasifikasi Mental Workload Berdasarkan Sinyal EEG Dessy Kusumaningrum; Elly Matul Imah
Jurnal Sistem Cerdas Vol. 3 No. 2 (2020): Riset dan Inovasi Sistem Cerdas pada Penanggulangan Wabah Covid-19
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v3i2.69

Abstract

Kondisi psikologis dan fisik manusia dapat memengaruhi proses berpikir. Apabila kondisi individu mengalami kelelahan, maka dapat memengaruhi penurunan tingkat produktivitas maupun penurunan proses berpikir yang menyebabkan timbulnya mental workload. Workload yang dimiliki harus seimbang terhadap kemampuan dan keterbatasan yang dimiliki. Mental workload yang berlebih berdampak buruk bagi individu karena menimbulkan penurunan produktivitas kerja. Perangkat khusus yang dapat digunakan untuk mengetahui tingkat mental workload seorang individu adalah Electroencephalogram (EEG). EEG adalah perangkat khusus yang digunakan untuk mengukur sinyal potensi listrik dari otak. Dataset yang digunakan dalam penelitian ini adalah STEW: Simultaneous Task EEG Dataset dengan 45 subjek. Dalam penelitian ini, telah dilakukan studi komparasi algoritma Random Forest, K-Nearest Neighbor (KNN), Multi-Layer Perceptron (MLP), dan Support Vector Machine (SVM) untuk klasifikasi mental workload berdasarkan sinyal EEG. Studi dilakukan untuk menentukan algoritma terbaik dalam klasifikasi dilihat dari segi nilai akurasi dan penggunaan memori saat proses klasifikasi. Dataset telah melalui beberapa tahapan, diantaranya pra-pemrosesan data, ekstraksi fitur, dan proses klasifikasi. Pra-pemrosesan data menerapkan pembagian data menjadi beberapa chunk. Untuk mendapatkan ciri dalam ekstraksi fitur, diterapkan metode Principal Component Analysis (PCA). Pada proses klasifikasi menggunakan pendekatan k-fold cross validation. Hasil studi penelitian ini adalah algoritma terbaik dari sisi akurasi adalah algoritma KNN, algoritma terbaik dari sisi waktu pembuatan model adalah algoritma Random Forest, serta algoritma terbaik dari sisi penggunaan memori adalah algoritma MLP.
Tweets Emotions Analysis of Community Activities Restriction as COVID-19 Policy in Indonesia Using Support Vector Machine Abi Nizar Sutranggono; Elly Matul Imah
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8189

Abstract

With the rising number of COVID-19 cases in Indonesia, the government has implemented the Imposition of Restrictions on Emergency Community Activities (Pemberlakuan Pembatasan Kegiatan Masyarakat - PPKM) as Indonesia’s COVID-19 policy. Several controversies and protests have colored the implementation of this emergency policy. Some netizens on Twitter voice their opinions about the policy in their tweets. Emotions in tweets can be recognized through text-based emotion detection or emotion analysis. However, textbased emotion detection is a challenging task. One of the main issues in classifying text with a machine learningbased approach deals with the feature dimensions. As a result, appropriate methods for accurately identifying emotion based on the text are required. The research studies an emotions analysis task on Indonesians’ PPKMrelated tweets to understand their emotional state while implementing the PPKM. The machine learning classification algorithms used are Support Vector Machine (SVM) and random forest. The total number of tweets is 4,401. The results show that SVM with linear kernel function combined with the TF-IDF and Chi-Square methods outperforms other classifiers with an accuracy of 0.7528. The accuracy value is higher than those obtained by previous studies. Moreover, the results of the emotion classification on PPKM tweets reveal that most Indonesians are unhappy with the implementation of the PPKM policy.
IMPLEMENTASI ALGORITMA INTEGER LINEAR PROGRAMMING UNTUK SISTEM INFORMASI PENJADWALAN RUANGAN DI FAKULTAS ILMU KOMPUTER UNIVERSITAS INDONESIA Elly Matul Imah; A.R. Hutomo; A. Fitrananda; A. Marshadiany; G.P. Prikarti
Jurnal Sistem Informasi Vol. 7 No. 1 (2011): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1029.822 KB) | DOI: 10.21609/jsi.v7i1.291

Abstract

Permasalahan konflik penjadwalan ruangan (timetabling) sering dihadapi hampir sebagian besar institusi akademis di Indonesia, salah satunya di Fakultas Ilmu Komputer Universitas Indonesia (Fasilkom UI). Peningkatan jumlah mahasiswa setiap tahun yang tidak diikuti oleh peningkatan jumlah dan kapasitas kelas menjadi faktor penyebab utama. Selama ini sistem penjadwalan masih dilakukan secara manual, sehingga membutuhkan waktu yang relatif lama dan menyebabkan optimasi pengalokasian kebutuhan ruangan menjadi kurang efisien. Penelitian ini bertujuan untuk menemukan pendekatan yang sesuai dalam menyelesaikan masalah timetabling tersebut. Beberapa pendekatan yang dapat digunakan untuk menyelesaikan masalah ini antara lain algoritma Tabu Search, Simmulated Annealing, Graph Coloring, dan Integer Linear Programming (ILP). Dalam penelitian ini, peneliti menggunakan algoritma ILP karena ILP merupakan model yang paling tepat untuk menyelesaikan masalah timetabling di Fasilkom UI. Algoritma ini dapat meminimalkan waktu yang diperlukan untuk melakukan penjadwalan dari sebulan menjadi hitungan menit. Room scheduling conflict issues (timetabling) are facing most of the academic institutions in Indonesia, one is in the Faculty of Computer Science (Fasilkom) Universitas Indonesia (UI). In the number of students each year followed by no increase in the number and capacity of the class became the main factor. During this scheduling system is still done manually so it takes a relatively long time so that the optimization is less efficient allocation of space requirements. This study aims to find an appropriate approach in solving the timetabling problem. Several approaches can be used to solve these problems include Tabu Search algorithm, Simmulated Annealing, Graph Coloring, and Integer Linear Programming (ILP). In this study we used the ILP algorithm for ILP is the most appropriate model to solve the timetabling problem in Fasilkom UI. This algorithm can minimize the time required to perform the scheduling of a month becomes a matter of minutes.
Identifikasi Penalaran Kreatif-Imitatif Siswa dengan Gaya Kognitif Reflektif Durrotun Nabilah; Ismail; Elly Matul Imah
EDUKASIA: Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 1 (2023): Edukasia: Jurnal Pendidikan dan Pembelajaran
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v4i1.229

Abstract

This research is aimed to describe the creative and imitative reasoning of students with reflective cognitive styles on math problem solving. The study uses a qualitative approach with a data collection instrument used of Matching Familiar Figure Tests, math ability test, mathematical problem-solving tasks, and interview guidelines. The research result studies indicate that a student with reflective cognitive style that have imitative reasoning in problem solving is less able to provide comprehensive information, still using a problem-solving strategy previously known, nor does he make a return check on the results received. It is different with reflective subjects that have proven creative reasoning capable of delivering well-known information, that can provide novel and thought-provoking solutions. Moreover, he also looking back the resulting solutions to the problem.
Students’ cognitive processes in solving problem related to the concept of area conservation Ekawati, Rooselyna; Kohar, Ahmad Wachidul; Imah, Elly Matul; Amin, Siti Maghfirotun; Fiangga, Shofan
Journal on Mathematics Education Vol. 10 No. 1 (2019): Journal on Mathematics Education
Publisher : Universitas Sriwijaya in collaboration with Indonesian Mathematical Society (IndoMS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aimed to determine the cognitive process employed in problem-solving related to the concept of area conservation for seventh graders. Two students with different mathematical ability were chosen to be the subjects of this research. Each of them was the representative of high achievers and low achievers based on a set of area conservation test. Results indicate that both samples performed more cyclic processes on formulating solution planning, regulating solution part and detecting and correcting error during the problem-solving. However, it was found that the high achiever student performed some processes than those of low achiever. Also, while the high achiever student did not predict any outcomes of his formulated strategies, the low achiever did not carry out the thought process after detecting errors of the initial solution gained. About the concept of area conservation, the finding also reveals that within the samples’ cognitive processes, the use of area formula come first before students decided to look for another strategy such as doing ‘cut-rotate-paste’ for the curved planes, which do not have any direct formula. The possible causes of the results were discussed to derive some recommendation for future studies.
Detecting violent scenes in movies using Gated Recurrent Units and Discrete Wavelet Transform Imah, Elly Matul; Laksono, Ivan Kurnia; Karisma, Karisma; Wintarti, Atik
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 8 No 2 (2022): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i2.2541

Abstract

The easiness of accessing video on various platforms can negatively impact if not done wisely, especially for children. Parental supervision is needed so that movies platforms avoid inappropriate displays such as violence. Violent scenes in movies can trigger children to commit acts of violence, which is not desired. Unfortunately, it is not easy to supervise them fully. This study proposed a method for automatic detection of violent scenes in movies. Automatic violence detection assists the parents and censorship institutions in detecting violence easily. This study uses Gated Recurrent Units (GRU) algorithm and wavelet as feature extraction to detect violent scenes. This paper shows comparative studies on the variation of the mother wavelet. The experimental results show that GRU is robust and deliver the best performance accuracy of 0.96 while combining with mother wavelet Symlet and Coiflets8. The combination of GRU with wavelet Coiflets8 shows better results than the predecessor.
Identifikasi Penalaran Kreatif-Imitatif Siswa dengan Gaya Kognitif Reflektif Durrotun Nabilah; Ismail; Elly Matul Imah
EDUKASIA Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 1 (2023): Edukasia: Jurnal Pendidikan dan Pembelajaran
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v4i1.229

Abstract

This research is aimed to describe the creative and imitative reasoning of students with reflective cognitive styles on math problem solving. The study uses a qualitative approach with a data collection instrument used of Matching Familiar Figure Tests, math ability test, mathematical problem-solving tasks, and interview guidelines. The research result studies indicate that a student with reflective cognitive style that have imitative reasoning in problem solving is less able to provide comprehensive information, still using a problem-solving strategy previously known, nor does he make a return check on the results received. It is different with reflective subjects that have proven creative reasoning capable of delivering well-known information, that can provide novel and thought-provoking solutions. Moreover, he also looking back the resulting solutions to the problem.
Analisis Beban Kerja Kognitif Siswa Sekolah Menengah Pertama pada Tugas Aritmetika Mental Rifa Firdah Awanis; Siti Khabibah; Elly Matul Imah
EDUKASIA Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 1 (2023): Edukasia: Jurnal Pendidikan dan Pembelajaran
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v4i1.290

Abstract

This study aims to describe the cognitive workload of students on mental arithmetic tasks. This study is a qualitative descriptive research. Data collection was conducted on students of Class VIII-C SMPN 1 Situbondo consisting of 32 students and taken 10 students as research subjects. Data collection techniques of this study were mental arithmetic tasks, NASA-TLX questionnaires, and interviews. The data collection instruments used were mental arithmetic task questions, NASA-TLX questionnaire rating sheets, and interview guidelines. 10 research subjects were selected based on the cognitive workload and mental arithmetic of students. The results of this study showed that 6.25% were in the category of very low cognitive workload, 12.5% were in the category of low cognitive workload, 25% were in the category of moderate cognitive workload, 43.75% were in the category of high cognitive workload, and 12.5% were in the category of very high cognitive workload. Subjects with very low cognitive workload did not experience stress or difficulty when solving mental arithmetic tasks. Subjects with low cognitive workload did not experience stress or difficulty when solving mental arithmetic tasks. Subjects with moderate cognitive workload experience slight difficulties when solving mental arithmetic tasks. Subjects with a high cognitive workload experience stress to the point of making the subject feel irritated when solving mental arithmetic tasks. Subjects with very high cognitive workload experienced stress to the point of making the subject feel irritated when solving mental arithmetic tasks.
Co-Authors A. Fitrananda A. Fitrananda A. Fitrananda A. Marshadiany A. Marshadiany A. Marshadiany A.R. Hutomo A.R. Hutomo A.R. Hutomo Ahmad Wachidul Kohar Ainiya Aziza Alexander Agung Gunawan ALFATARA NURUS SAADAH ANDY RIZKI WIYONO Atik Wintarti, Atik Awalah, Ervi Anisatul Budiarto, Mega T. Dessy Kusumaningrum Diane Fitria Durrotun Nabilah Durrotun Nabilah Febrian Rachmadi Fiangga, Shofan Fitrananda, A. G.P. Prikarti G.P. Prikarti G.P. Prikarti Hasanuddin Al-Habib Hutomo, A.R. Ismail Ismail Karisma, Karisma KURNIA LAKSONO, IVAN Laksono, Ivan Kurnia Mahdiyah, Umi Marshadiany, A. Mohammad Isa Irawan Muhammad Anwar Ma'sum Muhammad Athoillah, Muhammad Nia Amelia NURUS SAADAH, ALFATARA Prikarti, G.P. R. Sulaiman Rifa Firdah Awanis Riskyana Dewi Intan Puspitasari RIZKI WIYONO, ANDY Rooselyna Ekawati Siti Khabibah Siti Maghfirotun Amin Sutranggono, Abi Nizar T. Basaruddin Zumrotun Nafisah