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All Journal TEKNIK INFORMATIKA Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Jurnal Pemikiran dan Pengembangan Sekolah Dasar (JP2SD) Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains JOIV : International Journal on Informatics Visualization IT JOURNAL RESEARCH AND DEVELOPMENT Journal of Teaching and Learning in Elementary Education Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Psychology and Instructions Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Instructional Development Journal Journal of Applied Engineering and Technological Science (JAETS) International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Aksara: Jurnal Ilmu Pendidikan Nonformal Jurnal Manajemen Informatika Jayakarta Journal for Lesson and Learning Studies Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat Jurnal Teknik Informatika Journal of Applied Business and Technology Jurnal Elementaria Edukasia
Dewi Nasien
Instititut Bisnis Dan Teknologi Pelita Indonesia
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

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Classifying Vehicle Types from Video Streams for Traffic Flow Analysis Systems Imran B. Mu’azam; Nor Fatihah Ismail; Salama A. Mostafa; Zirawani Baharum; Taufik Gusman; Dewi Nasien
JOIV : International Journal on Informatics Visualization Vol 6, No 1 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1.739

Abstract

This paper proposes a vehicle types classification modelfrom video streams for improving Traffic Flow Analysis (TFA) systems. A Video Content-based Vehicles Classification (VC-VC) model is used to support optimization for traffic signal control via online identification of vehicle types.The VC-VC model extends several methods to extract TFA parameters, including the background image processing, object detection, size of the object measurement, attention to the area of interest, objects clash or overlap handling, and tracking objects. The VC-VC model undergoes the main processing phases: preprocessing, segmentation, classification, and tracks. The main video and image processing methods are the Gaussian function, active contour, bilateral filter, and Kalman filter. The model is evaluated based on a comparison between the actual classification by the model and ground truth. Four formulas are applied in this project to evaluate the VC-VC model’s performance: error, average error, accuracy, and precision. The valid classification is counted to show the overall results. The VC-VC model detects and classifies vehicles accurately. For three tested videos, it achieves a high classification accuracy of 85.94% on average. The precession for the classification of the three tested videos is 92.87%. The results show that video 1 and video 3 have the most accurate vehicle classification results compared to video 2. It is because video 2 has more difficult camera positioning and recording angle and more challenging scenarios than the other two. The results show that it is difficult to classify vehicles based on objects size measures. The object's size is adjustable based on the camera altitude and zoom setting. This adjustment is affecting the accuracy of vehicles classification.
Perancangan Animasi 3D Untuk Pertolongan Pertama Pada Kucing Berbasis Website Alin Meisya Putri; Dahliyusmanto Dahliyusmanto; Dewi Nasien
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 8 (2021): Edisi 2 Juli s/d Desember 2021
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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

Abstract

Cats are pets that are liked by people of all ages and circles, including in Indonesia. Adorable physical form and behavior are the reason cats are much liked. However, people's knowledge is currently lacking on care, health, and first aid for cats. Website-based 3D animation is a good place to convey information about health and give first aid to cats. In this study, 3D animation was created using Blender software. 3D animation videos hosted on the website. The website used in this study uses a static website type. The programming languages used in making this website are HyperText Markup Language (HTML), JavaScript, and Cascading Style Sheet (CSS). The complete address of the website results is p3k-kucing.nunitostudio.com. 3D animation videos and websites were tested for usability using a Likert scale. The test was conducted on 20 respondents from various circles and one validator, namely a veterinarian. The test results show that this website-based 3D animation is in the very worthy category.Keywords: Cats, 3D Animation, Website
Optimization of Genetic Algorithm in Courses Scheduling Dewi Nasien; Andi Andi
IT Journal Research and Development Vol. 6 No. 2 (2022)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/itjrd.2022.7896

Abstract

Scheduling courses is an intricate and pivotal part of a university as it impacts the teaching and learning process. The problem frequently occurs is the struggle of placing schedules which is manual, takes a long time, and inaccurate. This paper explores the process and how effective the genetic algorithm method is in solving scheduling problems in lecture environment. The selection of genetic algorithms owes to it produces an optimal scheduling solution. To build a scheduling optimization system, it is essential to collect room data, lecturers, courses, days and hours of teaching. The data collection comes from field studies by observations and interviews. Literature studies are also needed to acquire the basic course scheduling, optimization, genetic algorithms, PHP, MySQL, Bootstrap, and Visual Studio Code. The test outcomes attained the preeminent one with the highest fitness value in the number of generations, populations, the crossover combination and mutation rates. The final result showed that the first chromosome is the finest chromosome produces scheduling with the highest fitness value. The outcomes of the whole algorithm process are consistent with the original predicted data, and the same lecturer is not scheduled to teach more than once at the same time. It is expected that the application of the genetic algorithm method optimizes course scheduling with great outcome.
PKMS PELATIHAN DESAIN GRAFIS MENUJU WIRAUSAHA BAGI PEMUDA RT.03 RW.04 KELURAHAN UMBAN SARI Yenny Desnelita; Gustientiedina Gustientiedina; Wilda Susanti; Dewi Nasien; Ramalia Noratama Putri
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2019): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v3i2.3662

Abstract

Perkembangan aplikasi di bidang teknologi informasi mempunyai dampak besar di berbagai bidang kehidupan, salah satunya dibidang industri kreatif seperti advertising, reklame, desain grafis dan pengolahan gambar digital. Salah satu menunjang keterampilan bagi pemuda-pemudi RT 03 RW 04 Kelurahan Umban Sari Kecamatan Rumbai Kota Pekanbaru. Dilakukan pelatihan life skill yang berupa perancangan desain grafis untuk advertising dan reklame. Metode pengabdian ini berupa pelatihan keterampilan desain grafis yang menggunakan computer dan memakai software CorelDraw dan Photoshop. Kegiatan PKMS ini bertujuan untuk meningkatkan pengetahuan dan keterampilan pemuda dalam meningkatkan kualitas kemampuan dalam membuat desain grafis yang menarik sehingga peserta dapat bersaing untuk memenuhi permintaan akan kebutuhan lapangan kerja dan juga menuju wirausaha. Dari 15 peserta 11 orang diantaranya berhasil membuat dan menyelesaikan mendesain produk untuk kebutuhan advertising atau bidang percetakan. Hasil kegiatan pelatihan keterampilan desain grafis menunjukan peserta bisa merancang logo, kartu nama, undangan, famplet, banner, spanduk dan bentuk advertising lainnya.
Performance Analysis of Support Vector Machine in Sex Classification of The Sacrum Bone in Forensic Anthropology Iis Afrianty; Dewi Nasien; Habibollah Haron
JURNAL TEKNIK INFORMATIKA Vol 15, No 1 (2022): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v15i1.25254

Abstract

Sex classification is part of forensic anthropological identification aimed at determining whether the skeleton belongs to a male or a female. This paper exhibits the performance of the Support Vector Machine (SVM) in classifying the sex of the sacrum in forensic anthropology. Bone data was measured by the metric method based on six variables, namely superior breadth, anterior length, mid ventral breadth, real height, diameter the base, and max-transverse diameter of the base. This study shows performance analysis of SVM using the library libSVM with linear, polynomial, and RBF kernel to observe the results of the comparison of the accuracy of the kernel used. According to the results of the trials, the best accuracy was attained in each kernel function, i.e., the RBF kernel is 83.33% with g = 1 and C = 1, the polynomial is 85.56% at γ = 2, C = 2 and d =1, and the linear kernel obtained best accuracy is 84.44 % with C = 2 and C = 3. In conformity with the experimental result, polynomial attained the highest accuracy of 85.56% at γ = 2, C = 2, and d =1.
Analysis of the Among System-Based Discovery and Inquiry Learning Models Neni Hermita; Zetra Hainul Putra; Jesi Alexander Alim; Mike Fitriani; Dewi Nasien; Khoiro Mahbubah
Journal Of Teaching And Learning In Elementary Education Vol 5, No 2 (2022)
Publisher : Program Studi Pendidikan Guru Sekolah Dasar, FKIP, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33578/jtlee.v5i2.7939

Abstract

This study compares the syntax of the discovery learning and inquiry learning models based on the Among system. This research was a descriptive type of research and used a comparative design. The method of data collection in this research was a literature study. The literature study used is research that is in accordance with the research of researchers and the latest research. The results found that the learning model of discovery learning and inquiry learning based from the Among system was very well implemented in elementary schools. The use of these various models can be adapted to the needs of the educator. Along with the literature study, these two models can support students' abilities and create meaningful learning for students.
Pengaruh Peran Guru terhadap Motvasi Belajar dan Pembentukan Karakter Siswa melalui Implementasi Kurikulum 2013 di Sekolah Dasar Erma Yunita; Dewi Nasien; Mestika Sekarwinahyu
Instructional Development Journal Vol 5, No 2 (2022): IDJ
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/idj.v5i2.16750

Abstract

Penelitian ini dilatarbelakangi oleh banyak permasalahan yang ada dalam proses kegiatan pembelajaran terutama pada giat pembentukan nilai-nilai karakter, sebagaimana setelah peneliti melakukan pengamatan di lapangan yaitu di SD Negeri 173 Pekanbaru. Oleh karena itu, penelitian ini bertujuan untuk menganalisis: 1) peran guru dalam mengimplementasikan Kurikulum 2013 di SDN 173 Pekanbaru; 2) motivasi Belajar Siswa SDN 173 Pekanbaru; 3) pembentukan Karakter Siswa SDN 173 Pekanbaru; 4) pengaruh peran guru terhadap motivasi belajar siswa melalui implementasi Kurikulum 2013 di sekolah dasar; dan 5) pengaruh peran guru terhadap pembentukan karakter siswa melalui implementasi Kurikulum 2013 di sekolah dasar. Jenis penelitian yang digunakan dalam penelitian ini adalah Ex-post Facto. Populasi dalam penelitian ini adalah seluruh siswa di Sekolah Dasar Negeri 173 Pekanbaru, yang terdiri dari 773 siswa. Alasan digunakannya teknik purposive sampling karena peneliti hanya menggunakan siswa kelas tinggi (4,5 dan 6) yang berjumah 142 siswa. Teknik pengumpulan data yang digunakan adalah kuisioner dan dokumentasi yang kemudian dianalisis secara deskriptif dan inferensial. Hasil penelitian menunjukkan bahwa: 1) motivasi belajar siswa di SD Negeri 173 Kota Pekanbaru yang diperoleh persentase sebesar 83% dengan kategori TINGGI atau BAIK; 2) Pembentukan karakter siswa di SD Negeri 173 Kota Pekanbaru yang diperoleh persentase sebesar 83% dengan kategori TINGGI atau BAIK; 3) Peran guru dalam mengimplementasikan kurikulum di SDN 173 Pekanbaru diperoleh persentas 91% dengan kategori TINGGI atau SANGAT BAIK; 4) Ada pengaruh peran guru dalam mengimplementasikan kurikulum terhadap motivasi belajar siswa di SD Negeri 173 Pekanbaru dan besar pengaruhnya sebesar 31,5%; dan 5) Ada pengaruh peran guru dalam mengimplementasikan kurikulum terhadap pembentukan karakter di SD Negeri 173 Pekanbaru dan besar pengaruhnya sebesar 21,3%.TRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian //  TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//
Pengaruh Lingkungan Kerja, Kepuasan Kerja dan Motivasi Terhadap Komitmen Guru Sekolah Dasar Negeri di Kecamatan Tampan Pekanbaru Firman Afriadi; Dewi Nasien; Lina Warlina
Aksara: Jurnal Ilmu Pendidikan Nonformal Vol 9, No 1 (2023): January 2023
Publisher : Magister Pendidikan Nonformal Pascasarjana Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/aksara.9.1.231-242.2023

Abstract

Penelitian ini dilatarbelakangi oleh komitmen guru yang masih terlihat rendah. Hasil data menunjukan lima tahun tekahir jumlah mutasi guru semakin meningkat. Selain itu berdasarkan data absensi kerja guru juga menujukan peningkatan dalam beberapa tahun terakhir yang menunjukan komitmen guru masih lemah. Jenis penelitian yang digunakan adalah dengan metode survey dalam pendekatan kuantitatif. Populasi dalam penelitian ini yakni 89 guru dari lima sekolah SD Negeri di Kecamatan Tampan dengan sampel sebanyak 72 guru. Teknik pengambilan sampel sebanyak 5% dari jumlah populasi dalam bentuk proportionate startified random sampling. Teknik pengumpulan data yang digunakan yakni dengan kuisioner atau angket dan dokumentasi. Hasil penelitian ini menyatakan terdapat kontribusi yang positif antara lingkungan kerja, kepuasan kerja dan motivasi kerja terhadap komitmen guru Sekolah Dasar Negeri di Kecamatan Tampan Pekanbaru. Lingkungan kerja dan kepuasan kerja  secara nyata turut menentukan dan memberikan kontribusi terhadap komitmen guru yang semakin baik.
Teacher’s Role: Learning Service of Children with Special Needs in Inclusive School Ria Asrina Marza; Dewi Nasien; Agus Joko Purwanto
Journal of Psychology and Instruction Vol. 6 No. 3 (2022): October
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jpai.v6i3.59111

Abstract

Children with special needs require more optimal handling from teachers, but the reality in the field is that learning services for children with special needs are still not optimal. The purpose of this study was to analyze how learning services for children with disabilities through the role of teachers. The subjects in this study were teachers in inclusive school. This research is descriptive qualitative research with interview and documentation as data collection. Data analysis is carried out in 3 (three) stages there are data reduction, data coding, and data tabulation. The results showed those services for children with special needs carried out at the primary school for inclusive education organizers, the school provides services in the form of identification and assessment. Life skills development activities at the primary school organizing inclusive education are still limited to extracurricular activities, there are no special life skills development activities for children with special needs, extracurricular activities at the primary school organizing inclusive education already have several activities to develop the abilities and talents of students. Extracurricular activities are already running and are carried outside of school hours.
A Machine Learning Model for Determination of Gender Utilizing Hybrid Classifiers Dewi Nasien; M. Hasmil Adiya; Yusnita Rahayu; Dahliyusmanto Dahliyusmanto; Erlin Erlin; Devi Willieam Anggara
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i1.1839

Abstract

One part of forensic anthropology involves investigating skeletal remains to identify corpses, and many of these remains were found incomplete, burned, broken, or destroyed, making investigation challenging. This study aims to use the pelvis and femur to identify the gender of skeletal remains. The pelvis and femur have previously been proven to be accurate indicators of a corpse's gender. The identification process is done through the measurement of the subpubic angle of the pelvis and the angle taken straight down from the top of the femur to the patella and then straight up. The two measurements were combined using the principal component analysis (PCA) method into two attributes on the x and y axes. These attributes were later used as data for the machine learning model design. The design process consisted of an Artificial Neutral Network (ANN) design model and Support Vector Machine (SVM) design model combined into a hybrid machine learning system. The ANN and SVM hybrid machine learning were tested with acquired data. The result of the test using the confusion matrix showed 83.33% accuracy, which is categorized as "good classification" based on Area Under the Curve (AUC).
Co-Authors Adiya, M. Hasmil Agus Joko Purwanto Agus Setiawan ahmad kamal, ahmad Ahmad Mulyadi Akbar Marunduri, Alberta Alin Meisya Putri Alyauma Hajjah Amalia Sapriati Andi Andi Anggara, Devi Willeam Angriawan, Sherkhing Anwar Senen Baharum, Zirawani Butar-Butar, Rio Juan Hendri Charles Lo, Kevin Charles Wijaya, Ryan Cia, Alexander Cici Oktaviani Dahliyusmanto, Dahliyusmanto Darwin, Ricalvin Deny Deny, Deny Deny Jollyta Desnelita, Yenny Devi Willieam Anggara Diniya, Diniya Dipuja, Diah Anugrah Erlin Erma Yunita Farkhan, Mochammad Fenly, Fenly Feri Candra Firman Afriadi Fitri Indriani Fitriani, Mike Go, Jerry Gusman, Taufik Gustientiedina Habibollah Haron Ihsan, M. Nurul Iis Afrianty Iis Afrianty Imran B. Mu’azam Jack Billie Chandra Jesi Alexander Alim Johan Johan Johanes Johanes, Johanes Leo Winata, Andrean Leo, Leo Lina Warlina Lombu, Frendly M.C, Richard Mahbubah, Khoiro Mahmud Dwi Sulistiyo Marlim, Yulvia Nora Mestika Sekarwinahyu Mike Fitriani Muhammad Rakha Muhammad Ridha Nazara, Elvin Meiwati Neni Hermita Nopendri Nopendri Nor Fatihah Ismail Nurwijayanti Oraple, Ezri Trivena Owen, Steven Pamungkas, Dwi Pandapotan, Boris Yosua Prawinata See, Richardo Putra Yansen, Eka Rahmadhani, Ummi Sri Rahmadian Yuliendi, Rangga Ramalia Noratama Putri Ria Asrina Marza Rianda, Gilang Rio Asikin Rio Rokhima, Nur Roni Sanjaya Ryan Syahputra, Ryan Syahputra Salama A. Mostafa Samah, Azurah A. Sardius, Sardius Setiawan, Laurensius Rendi Siddik, M. Sirait, Andrio Pratama Sirvan, Sirvan Sri Tatminingsih Sukabul, Ahmad Suliana Supriati, Amelia Suroyo Suroyo Tavip, Achmad Wicaksono, Mahfuzan Hadi Wijaya, Tommy Tanu Wilda Susanti Yacob, Azliza Yuli Astuti Yulianti, Deni Yusnita Rahayu Zetra Hainul Putra Zeva Adi Fianto Zirawani Baharum