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All Journal International Journal of Public Health Science (IJPHS) Jurnal Teknologi Informasi dan Ilmu Komputer JITK (Jurnal Ilmu Pengetahuan dan Komputer) Dinamisia: Jurnal Pengabdian Kepada Masyarakat Informatika : Jurnal Informatika, Manajemen dan Komputer JSAI (Journal Scientific and Applied Informatics) JISKa (Jurnal Informatika Sunan Kalijaga) Lentera Dumai (Jurnal Manajemen dan Teknologi Informasi) Reswara: Jurnal Pengabdian Kepada Masyarakat Journal of Applied Data Sciences Jurnal UNITEK Jurnal J-PEMAS The Indonesian Journal of Computer Science JES-TM Social and Community Service
Radillah, Teuku
Institut Teknologi Mitra Gama
Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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Sistem Kontrol Menghidupkan Lampu Otomatis Menggunakan Sensor Suara FC-04 Berbasis Arduino Uno Chairil, Slamet; Teuku Radillah; Satria, Budy
The Indonesian Journal of Computer Science Vol. 12 No. 1 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i1.3121

Abstract

The problem that often occurs is forgetting to turn off the lights when you want to leave because you are in a hurry, as a result the lights stay on and there is a waste of electricity. This research was conducted with the aim of designing an Automatic Light Turning Control System Using the FC-04 Sound Sensor Based on Arduino Uno. When the Sound Sensor FC-04 detects the input of two hands clapping, the relay will give current to the light object so that it turns on automatically. The results of the tests that have been carried out are that the Arduino Uno Microcontroller works well for processing data. Testing the FC-04 Sound Sensor with a distance of 50-200 cm from the input in the form of the sound of applause causes the light to turn on as an output that the sensor functions to detect vibration frequency waves. In addition, the relay device also works well as a regulator of the electric power supply for the lamp so that the lamp can turn on or on. So that this tool can help humans turn off the lights so they no longer have to move closer to the lights and press existing buttons to be able to turn on or turn off the lights, but can be controlled through voice commands of applause.
Segmentasi Citra Menggunakan Metode Otsu dalam Pengenalan Pola Sederhana Teuku Radillah; Kiki Ameliza; Idir Fitriyanto
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3492

Abstract

Pengenalan pola (pattern recognition) adalah cabang ilmu dalam bidang artificial intellegence (AI) yang berkaitan dengan teknik atau algoritma untuk mengenal suatu pola tertentu. Pada penelitian ini untuk mengenal pola dasar tersebut menggunakan ektraksi fitur untuk mengklasifikasi pola menggunakan pengolahan citra. Ektraksi tersebut menggunakan metode otsu yang bertujuan untuk pembagian histrogram citra grey level secara otomatis, yaitu dengan melakukan preprocessing terlebih dahulu, yaitu mengkonversi citra RGB kebentuk citra grayscale. Adapun parameter yang menjadi acuan dalam pengenalan pola sederhana tersebut dapat dilihat dari hasil identifikasi gamabr pola pada perhitungan nilai area, perimeter, metric, eccentricity, centroid dan aspect ratio.
Analisis Perbandingan Model Bert Dan Xlnet Untuk Klasifikasi Tweet Bully Pada Twitter Radillah, Teuku; Veza, Okta; Defit, Sarjon
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 6: Desember 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2024119096

Abstract

Fenomena bullying di media sosial, khususnya di Twitter, telah menjadi isu yang semakin memprihatinkan dengan dampak signifikan terhadap kesehatan mental pengguna. Dalam rangka mengatasi masalah ini, deteksi otomatis tweet yang mengandung konten bullying menjadi sangat penting. Penelitian ini bertujuan untuk membandingkan performa dua model pemrosesan bahasa alami terbaru, yaitu BERT (Bidirectional Encoder Representations from Transformers) dan XLNet, dalam klasifikasi tweet yang mengandung bullying. Metodologi penelitian ini melibatkan pengumpulan dataset tweet yang telah dilabeli sebagai bullying atau non-bullying. Proses preprocessing teks dilakukan untuk membersihkan dan menyiapkan data sebelum digunakan dalam pelatihan model. Kedua model, BERT dan XLNet, dilatih dan diuji menggunakan dataset yang sama. Evaluasi performa dilakukan dengan menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa kedua model memiliki kemampuan yang baik dalam mengidentifikasi tweet bullying, akan tetapi XLNet menunjukkan performa yang lebih unggul dibandingkan BERT dengan tingkat akurasi sebesar 95%. Dengan nilai presisi  = 100%, recall  = 0,87%, dan F1-score = 0,88%. XLNet mampu menangkap konteks dan nuansa bahasa yang lebih kompleks dalam tweet, yang berkontribusi pada akurasi klasifikasi yang lebih tinggi. Penelitian ini memberikan kontribusi penting dalam bidang deteksi bullying di media sosial dengan menunjukkan bahwa penggunaan model XLNet lebih efektif dibandingkan BERT. Temuan ini dapat membantu platform seperti Twitter dalam mengidentifikasi dan mencegah konten bullying, sehingga menciptakan lingkungan online yang lebih aman bagi pengguna, serta dapat digunakan sebagai dasar untuk pengembangan sistem deteksi bullying yang lebih canggih dan efisien di masa depan.   Abstract The phenomenon of bullying on social media, particularly on Twitter, has become an increasingly concerning issue with significant impacts on users' mental health. In order to address this issue, automatic detection of tweets containing bullying content is crucial. This study aims to compare the performance of two recent natural language processing models, namely BERT (Bidirectional Encoder Representations from Transformers) and XLNet, in the classification of tweets containing bullying. The research methodology involves collecting a dataset of tweets that have been labelled as bullying or non-bullying. Text preprocessing is done to clean and prepare the data before it is used in model training. Both models, BERT and XLNet, were trained and tested using the same dataset. Performance evaluation was conducted using accuracy, precision, recall, and F1-score metrics. The results show that both models have a good ability to identify bullying tweets, but XLNet shows superior performance compared to BERT with an accuracy rate of 95%. With precision = 100%, recall = 0.87%, and F1-score = 0.88%. XLNet is able to capture more complex context and language nuances in tweets, which contributes to higher classification accuracy. This research makes an important contribution to the field of bullying detection on social media by showing that the use of the XLNet model is more effective than BERT. These findings can help platforms like Twitter identify and prevent bullying content, thereby creating a safer online environment for users, and can be used as a basis for the development of more sophisticated and efficient bullying detection systems in the future.
Enhancing U-Net for Wrist Fracture Segmentation in X-ray Images using Adaptive Callbacks and Weighted Loss Functions Radillah, Teuku; Defit, Sarjon; Nurcahyo, Gunadi Widi
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.952

Abstract

The detection of wrist fracture through medical imaging is causing considerable challenges due to the subtle and variable manifestation of such ruptures, necessitating precise and reliable segmentation methods. Therefore, this research aimed to propose an improved U-Net model for detecting wrist fracture. The model incorporated two innovations, namely adaptive callback training and weighted loss combination. The adaptive callback mechanism could be performed by dynamically adjusting the training parameters based on the model performance to prevent overfitting and accelerate convergence. At the same time, the loss function combined Dice Loss and Binary Cross-Entropy (BCE) Loss with linear as well as non-linear exponential weighting strategies, ensuring balanced optimization between region-based accuracy and pixel classification. During this analysis, a series of experiments were conducted on a curated wrist X-ray image dataset, and the results showed that the proposed method expressed superior performance in terms of segmentation accuracy when compared with previous U-Net and other state-of-the-art procedures. The proposed method achieved 91% accuracy, 87% precision, 86% recall, and 87% F1 score. Following this discussion, the findings showed the efficacy of the adaptive training design and loss function in improving the strength and sensitivity of the model in detecting wrist fracture
Sosialisasi E-Commerce Sebagai Media Pemasaran Produk UMKM Masyarakat Desa Muara Basung Kecamatan Pinggir Budy Satria; Yessi Ratna Sari; Teuku Radillah; Leonard Tambunan; Hafiz Mursalan; Muhammad Iqbal
Journal of Social and Community Service Vol. 1 No. 2 (2022): Maret 2022
Publisher : Faculty of Engineering University of Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestmc.v1i2.52

Abstract

Muara Basung Village is one of the villages located in the suburbs, Bengkalis Regency, Riau Province. Based on data in the field, the problem that occurs is that there are still many MSME actors in the village of Muara Basung having difficulty running a sales system using online marketing strategies with the aim of making it accessible to many people. One of the online marketing strategies is to use digital marketing, namely e-commerce. Based on these conditions, Institut Teknologi Mitra Gama works as one of the universities based in the field of information technology in collaboration with the Bengkalis Regency Youth Organization to carry out community service programs in the form of assistance to introduce E-Commerce. The service method used is data collection, technical preparation, implementation and evaluation of activities. The performance indicators prove that this activity is proceeding according to the initial plan. The result of this activity is that the participants are very enthusiastic about getting to know E-Commerce to market their products so that they can be reached more widely by potential buyers. The continuation of this activity is expected that every participant will switch to online marketing media for a wider reach in finding potential buyers. Thus the participants become aware of the importance of learning information technology to increase competitiveness, especially in selling MSME products.
Implementasi SPK Menggunakan Metode ARAS Untuk Penentuan SMA dan SMK Terbaik Berbasis Website Iqbal, Muhammad; Satria, Budy; Radillah, Teuku
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v10i2.3017

Abstract

Many students want to continue their education to Senior High School (SMA) and Vocational High School (SMK), especially in the Pinggir District area. However, students and parents find it difficult to choose the best school due to the lack of information obtained. From this problem, a decision support system is needed to provide recommendations for determining the best SMA and SMK. The method used is ARAS (Additive Ratio Assessment). This method uses the concept of calculation in the form of ordering utility values (i) from the highest to the lowest value. The school data used are 8, namely SMAN 1, SMAN 2, SMAN 3, SMAN 4, SMAN 5, SMAN 6, SMKN 1, SMKN 2 and the criteria data are 7, namely School Facilities, Accreditation, Graduate Quality, HR, Extracurricular, School Achievement and Location. From the results of the research conducted, there are 5 schools with the best school recommendations and their calculated values, namely SMKN 1 = 0, 122477, SMKN 2 = 0.121488, SMAN 5 = 0.116763, SMAN 6 = 0.112653 and SMAN 1 = 0.108850.
Perancangan Alat Pemberi Pakan Ikan Otomatis dengan RTC DS3231 Berbasis Microcontroller Arduino Uno Yuda Febryanto; Teuku Radillah; Kiki Ameliza
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3063

Abstract

Fish feed is a mixture of various food ingredients (commonly called raw materials), both vegetable and animal, which are processed in such a way that they are easy to eat and digest as well as a source of nutrition for fish that can produce. energy for their lives. Fish farming is a hobby that many people enjoy from the past until now because of its easy care and maintenance. It's just difficult when a person travels for a long time to several days and thinks of feeding his pet fish. This research was designed with library methods and practical methods. The result of this research is that by making a tool that can make it easier for someone to feed, then the time it takes for the tool to provide 2.4 grams of feed is 1 second. with this automatic feeding tool it can make it easier for ornamental fish fans in feeding fish from manual system moved to automatic system.
Efektifitas Metode Preference Selection Index (PSI) dalam Menentukan Penyaluran Dana Bantuan Sosial COVID-19 pada Kecamatan Mandau Radillah, Teuku; Fauzansyah; Widodo, Pulla Pandika; Mursalan, Hafiz; Putra, Budi Permana
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 6: Desember 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023107083

Abstract

COVID-19 merupakan pandemi global yang penyebarannya sangat cepat, termasuk di Indonesia. Untuk memulihkan perekonomian di tengah kondisi pandemi ini, pemerintah berupaya memberikan dana bantuan sosial (bansos) COVID-19 disetiap kecamatan di berbagai wilayah, termasuk Kecamatan Mandau di Kota Duri seperti bantuan bahan pokok makanan. Namun dalam pelaksanaannya terdapat kendala dalam penyaluran dana bantuan sosial tersebut karena data yang diterima oleh petugas kecamatan masih menggunakan sistem pencatatan manual sehingga pendataan penerima bantuan tidak akurat dan tidak memiliki acuan kriteria persyaratan sebagai penerima bantuan, yang menyebabkan penerima bantuan sosial tidak tepat sasaran. Dalam penelitian ini, untuk mengatasi masalah tersebut telah dirancang analisa perhitungan berbasis website dengan menggunakan metode Preference Selection Index (PSI) yang mampu mengklasifikasikan penerima bantuan sesuai kriteria yang diharapkan. Hasil dari penerapan metode PSI kedalam aplikasi berbasis web ini memberikan kemudahan bagi calon penerima bantuan untuk mendaftar  secara online, dan untuk proses penyaluran bantuan sosial menjadi lebih mudah, transparan, dan tepat sasaran. dengan kriteria data yang akurat dengan skala prioritas  pengurutan secara descending untuk nilai tertinggi yaitu 0.883, dan hasil nilai terendah atau non prioritas yaitu 0.322.   Abstract COVID-19 is a global pandemic with rapid spread, including in Indonesia. To restore the economy amid this pandemic, the government is trying to provide COVID-19 social assistance funds in every sub-district in various regions, including Mandau District in Duri City, such as assistance with staple foods. However, in practice there are obstacles in the distribution of social assistance funds because the data received by sub-district officials still uses a manual recording system so that the data collection on beneficiaries is inaccurate and does not have a reference to the eligibility criteria as beneficiaries, which causes social assistance recipients to be not on target. In this study, to overcome this problem a website-based calculation analysis has been designed using the Preference Selection Index (PSI) method that can classify the beneficiaries according to the expected criteria, and after this calculation analysis is implemented in this sub-district, the social assistance distribution process becomes easier and on target with accurate criteria.
PELATIHAN DESAIN GRAFIS UNTUK MENINGKATKAN KREATIVITAS DAN INOVASI DIGITAL BAGI MASYARAKAT DI DESA BULUH APO KECAMATAN PINGGIR Tambunan, Leonard; Iqbal, Muhammad; Radillah, Teuku; Satria, Budy
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 3, No 2 (2022)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v3i2.1897

Abstract

Desa Buluh Apo merupakan desa yang terletak di Kecamatan Pinggir, Kabupaten Bengkalis,Provinsi Riau. Desa ini dipimpin oleh seorang kepala desa. Kepala desa memiliki salah satu program kerja unggulan di bidang pendidikan. Untuk merealisasikan program kerja tersebut maka AMIK Mitra Gama bekerja sama dengan kepala desa Buluh Apo untuk menyelenggarakan pelatihan di bidang komputer. Salah satu program pelatihan yang disepakati bersama adalah pelatihan desain grafis untuk meningkatkan kreativitas dan inovasi digital bagi masyarakat Desa Buluh Apo. Adapun latar belakang dilaksanakan kegiatan pengabdian masyarakat ini adalah masih minimnya kemampuan masyarakat khususnya para pelajar dalam bidang teknologi informasi khususnya dibidang komputer. Untuk mengatasi permasalahan tersebut, maka perlu dilakukan pelatihan komputer dibidang desain grafis. Pelatihan ini bertujuan untuk melatih dan meningkatkan kemampuan para pelajar dalam merancang dan mengolah gambar menggunakan perangkat lunak CorelDraw dan Adobe Photosop. Topik pelatihan ini disusun berdasarkan analisis kebutuhan dengan pihak pemerintah desa Buluh Apo Kecamatan Pinggir.  Metode kegiatan ini dilakukan dengan beberapa tahap yakni tahap survey dan analisa, persiapan, pelaksanaan dan tahap dokumentasi. Hasil dari PKM ini adalah para pelajar mendapatkan ilmu dan pengetahuan tentang bagaimana merancang dan mengolah gambar dengan komputer dan mendorong kreativitas para pelajar dalam menghasilkan gambar-gambar yang memiliki seni dan daya tarik yang baik. Kesimpulan dari kegiatan ini adalah program pelatihan sangat berguna dan bermanfaat untuk masyarat desa Buluh Apo dan semoga kegiatan ini dapat terlaksana di masa yang akan datang
Computer Knowledge Improvement Training Students Dropping Out of School in Buluh Apo Village: Pelatihan Peningkatan Pengetahuan Komputer Siswa Putus Sekolah Pada Desa Buluh Apo Teuku Radillah; Leonard Tambunan; Budy Satria; Irman Efendi; Chalida Hanum
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 6 (2023): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v7i6.15782

Abstract

Buluh Apo village is a village that is located far out of town Duri, however, the Head of Buluh Apo Village has a vision to develop his village through the implementation of computer technology science, so that this village also has the nickname Net Village, because it has an internet network developed with the community. The purpose of this service is a collaborative program between the Apo Buluh village apparatus and the AMIK Mitra Gama campus to improve the quality of computer science in the current pandemic (COVID-19) conditions which require students to study more online (online) and for students dropping out of school. can Buluh Apo Village is a village located far on the outskirts of Duri city, however, the Head of Buluh Apo Village has a vision to develop his village through the implementation of computer technology knowledge. The purpose of this service is a collaborative program between Buluh Apo village officials and the Mitra Gama Institute of Technology campus to improve the quality of computer science for dropout students to be able to take advantage of this training to provide skills in the computer field so that they can become entrepreneurs in the field of informatics so that they can still participate in advance Buluh Apo village. The training participants totalled 30 dropout students with the achievement of target material including an introduction to computers and Microsoft Office. In this computer introduction training the results of student participation were achieved with an attendance of85%, an increase in student knowledge reaching 75%, students' skills in using Ms Office reached 78%, the ability to use the internet increased by 87%, and the understanding of entrepreneurs in the field of informatics by 84%, and the development of hardware and multimedia reached 77%
Co-Authors Amat Sofiyan Asparizal Asparizal Budy Satria Chairil, Slamet Chalida Hanum Darmansah Desyanti - Desyanti Fauzansyah Febrina Sari fitri pratiwi Gunadi Widi Nurcahyo Hafiz Mursalan Hafiz Mursalan Hayatullah Khumaini Idir Fitriyanto Idir irman efendi Irman Efendi Julimar Julimar Juwita Yanti Pakpahan Khelvin Ovela Putra Kiki Ameliza Kiki Ameliza Leonard Tambunan Linarta, Arie Mori Valentina Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal Muhammad Iqbal Mursalan, Hafiz Okta Veza Pauzun Pauzun Putra, Budi Permana Qori Islami Aris Rahmat Hidayatullah Risa Septiani Rosmanila Rosmanila Sarjon Defit Siti Nurjannah Slamet Chairil Sumijan Sumijan Syamsul Arifin Veza, Okta Vita Amelia, Vita Widodo, Pulla Pandika Widodo, Pulla Pandika Yessi Ratna Sari Yessi Ratna Sari Yuda Febryanto Yuda Febryanto Yuzella Sandra