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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 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 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.
COSINE SIMILARITY FOR ESSAY ANSWER DETECTION Laurensius Rendi Setiawan; Dewi Nasien
Journal of Applied Business and Technology Vol. 1 No. 1 (2020): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (587.31 KB) | DOI: 10.35145/jabt.v1i1.21

Abstract

Saint Mary Senior High School is the one of the famous private schools in Pekanbaru. examination in Saint Mary Senior High School has used a smartphone for multiple choice questions, while in essay questions the pen-and-paper is still used (manual). The number of examination scripts received from students is a problem for a teacher to see the similarity of students' answers with the answer key. At present, there is no system that can assist in checking answers. This study began with the selection stage, which is done by the interview process and filling out the questionnaire. Then proceed with an analysis of this case is used to look for possible development needs of the system. Then the programming language used is PHP and uses MySql database. Web-Based Essay Answer Detection Application Using Cosine Similarity Method in Saint Mary Senior High School. With the application of the essay answer detection application in Saint Mary Senior High School, it is hoped that it will be easier for the teacher to conduct the exam. Besides, it is expected that the application of a computerized system and the use of a database can accelerate the processing of student ranking grades effectively and efficiently.
Troubleshooting Generator Sets using Expert System Nopendri Nopendri; Dewi Nasien
Journal of Applied Business and Technology Vol. 1 No. 2 (2020): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1388.387 KB) | DOI: 10.35145/jabt.v1i2.36

Abstract

PT. Zaman Teknindo (PT. ZT) is a company engaged in Mechanical and Engineering field which is registered as one PT. Telkomsel vendors. The problems that occur at PT. ZT, if the power outage and generator set (generator) does not start automatically. The corrective team on duty at that time will go to the field and find a solution to the problem. With a lack of knowledge from the corrective team, they need help from the mechanical team. The mechanical team is an external team of PT. ZT. To bring a mechanical team requires an enormous cost and a relatively long time needed to get to the location. Based on the problem above, this study proposes a forward chaining expert system that is by depth-first search using the certainty factor method. To prove whether a fact is certain or not, it must be in the metric form in generator troubleshooting. The research methodology used the Software Development Life Cycle (SDLC) starting from problem identification, analysis, design, coding, testing and maintenance. This system is web-based, so users can easily access and choose symptoms of the damage. With this system makes it easy for PT. ZT especially the corrective team in the field can easily find out the damage symptoms without having to meet with experts directly.
Co-Authors Adiya, M. Hasmil Agus Joko Purwanto Agus Setiawan ahmad kamal, ahmad Ahmad Mulyadi Alberta Akbar Marunduri Alexander Cia Alin Meisya Putri Alyauma Hajjah Amalia Sapriati Andi Andi Andrean Leo Winata Anggara, Devi Willeam Angriawan, Sherkhing Anwar Senen Baharum, Zirawani Cici Oktaviani Dahliyusmanto, Dahliyusmanto Deny Deny Deny Jollyta Desnelita, Yenny Devi Willieam Anggara Diah Anugrah Dipuja Diniya Diniya Erlin Erma Yunita Farkhan, Mochammad Fenly, Fenly Feri Candra Firman Afriadi Fitri Indriani Fitriani, Mike Gusman, Taufik Gustientiedina Habibollah Haron Ihsan, M. Nurul Iis Afrianty Iis Afrianty Imran B. Mu’azam Jack Billie Chandra Jerry Go Jesi Alexander Alim Johan Johan Johanes Johanes, Johanes Kevin Charles Lo Laurensius Rendi Setiawan Leo, Leo Lina Warlina Lombu, Frendly M. Siddik Mahbubah, Khoiro Mahmud Dwi Sulistiyo Marlim, Yulvia Nora Mestika Sekarwinahyu Mike Fitriani Mochammad Farkhan Muhammad Rakha Muhammad Ridha Mukhsin Mukhsin Nazara, Elvin Meiwati Neni Hermita Neni Hermita Nopendri Nopendri Nor Fatihah Ismail Nursalim Oraple, Ezri Trivena Owen, Steven Pamungkas, Dwi Putra Yansen, Eka Rahmadhani, Ummi Sri Rahmadian Yuliendi, Rangga Ramalia Noratama Putri Ria Asrina Marza Rianda, Gilang Ricalvin Darwin Richard M.C Richardo Prawinata See Rio Asikin Rio Rio Juan Hendri Butar-Butar Rokhima, Nur Roni Sanjaya Ryan Charles Wijaya Ryan Syahputra Ryan Syahputra Salama A. Mostafa Samah, Azurah A. Sardius, Sardius Sirait, Andrio Pratama Sirvan Sirvan Sri Tatminingsih Sukabul, Ahmad Suliana Supriati, Amelia Suroyo Suroyo Tavip, Achmad Tommy Tanu Wijaya Wicaksono, Mahfuzan Hadi Wilda Susanti Yacob, Azliza Yuli Astuti Yulianti, Deni Yusnita Rahayu Zetra Hainul Putra Zeva Adi Fianto Zirawani Baharum