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All Journal International Journal of Artificial Intelligence Research JURIKOM (Jurnal Riset Komputer) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Informasi dan Teknologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Infotek : Jurnal Informatika dan Teknologi KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Information Technology (JIfoTech) World Psychology DEVOTE: Jurnal Pengabdian Masyarakat Global Eastasouth Journal of Effective Community Services Jurnal Pengabdian West Science At-Tasyrih: Jurnal Pendidikan dan Hukum Islam West Science Nature and Technology Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Gogor Christmass Setyawan
Universitas Kristen Immanuel
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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The Role of Google Classroom Application in Improving High School Student Achievement Yusrianti, Susi; Guilin, Xie; Artanty, Ary; Jiao, Deng; Setyawan, Gogor Christmass
World Psychology Vol. 3 No. 1 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v3i1.615

Abstract

Achievement is the highest achievement of a series of educational processes taken by students by relying on their intellectual and spiritual abilities. To improve student achievement, teachers can utilize existing technology, including the use of Google Classroom applications. The purpose of this study is to determine the role of the Google Classroom application in improving the achievement of high school students. The research method used is descriptive quantitative by conducting field research and data collection techniques by conducting in-depth interviews where researchers ask several questions to class teachers related to existing subjects, learning methods used, then the function of Google Classroom in the learning process, and things that can improve student achievement. The results of this case study explain that the use of Google Classroom applications can improve student achievement, this matter can be seen from the percentage count taken after conducting research. From the research conducted, it can be concluded that this application can be used as a medium for sending the results of assignments given by educators so that it can help improve student achievement. The limitation in this study is that researchers only know the role of Google Classroom applications in improving student achievement in only one school. Researchers hope that further research can conduct more in-depth research related to the role of Google Classroom applications in improving student achievement.
Peningkatan Resolusi Citra dengan Menggunakan Metode GAN untuk Aplikasi Peningkatan Gambar Ama, Marniati Triningsi Tamo; Himamunanto, Agustinus Rudatyo; Setyawan, Gogor Christmass
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.447

Abstract

This research proposes the use of a Generative Adversarial Network (GAN), a deep learning approach consisting of two neural networks: a generator that generates high-resolution images from low-resolution images, and a discriminator that distinguishes between original high-resolution images. and the image the generator produces. Through joint training, the generator learns to produce increasingly realistic and detailed images. This research uses training data of 400 image data, 100 images consisting of training data and test data. The GAN model trial showed a success rate of 80% training data, 20% test data. This process continued through repeated testing and 10,000 epoch training periods using Pytorch to train the GAN, with sharper and more detailed results than conventional methods. The application of GANs in various applications such as medical image processing, video restoration, and security surveillance shows great potential in improving image quality. Challenges such as training stability and computational time are overcome through more efficient regularization and optimization techniques, so that GANs prove to be a powerful tool for image resolution enhancement with a significant contribution to the development of more advanced image processing technologies.
Implementasi Sistem Pengenalan dan Pelancakan Objek pada Mobile Robot 4WD Berbasis ESP32CAM Untuk Navigasi dalam Ruang 2D Hulu, Faris Anwarman; Setyawan, Gogor Christmass; Lase, Kristian Juri Damai
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 13, No 2: Agustus 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v13i2.1954

Abstract

2D indoor mobile robot navigation is an ever-evolving area in the field of robotics. Tis research aims to develop an efficient navigation system for a four-wheel drive (4WD) robot by utilizing the capabilities of the ESP32-CAM in real-time object recognition and tracking. In this study, we implemented TensorFlow.js and the COCO-SSD model, whinch is a deep learning-based object recognition model trained on the extensive COCO dataset. The developed system is capable of recognizing, tracking, and following objects in a 2D indoor environment. The methodology used includes setting up the ESP32-CAM to process images in real-time, integrating TensorFLow.js with the COCO-SSD model for objects. Testing results show that the system can recognize, track, and follo moving objects with high accuracy and under various lighting conditions. This implementation demonstrates the potential use of deep learning technology in embedded system with limited resources like the ESP32-CAM for robotics applications.Keywords: ESP32-CAM; Object Tracking; 4WD Mobile Robot; COCO-SSD AbstrakNavigasi mobile robot dalam ruangan 2D merupakan salah satu area yang terus berkembang dalam bidang robotika. Penelitian ini bertujuan mengembangkan system navigasi yang efesien untuk robot empat roda (4WD) dengan memanfaatkan kemampuan ESP32-CAM dalam pengenalan dan pelancakan serta mengikuti object secara real-time dengan mengunakan komunikasi wifi dalam pengiriman data dan pengontrol mobile robot. Dalam penelitian ini, kami mengimplementasikan TensorFLow.js dan Model COCO-SSD, yang merupakan salah satu model pengenalan objek berbasis deep learning yang terlatih pada dataset COCO yang luas. Sistem yang dikembangkan mampu mengenali, melacak dan mengikuti objek dalam ruangan 2D. Metodologi yang digunakan meliputi pengaturan ESP32-CAM untuk memproses citra secara real-time, pengintegrasi TensorFLow.js dengan model COCO-SSD untuk pengenalan objek, dan pengembangan algoritma untuk pelancakan objek bergerak. Hasil pengujian menunjukan bahwa system mampu mengenali, melacak dan mengikuti objek yang bergerak dengan akurasi yang tinggi dan dalam kondisi pencahayaan yang beragam. Implementasi ini menunjukan potensial penggunaan teknologi deep learning dalam system embedded dengan sumber daya terbatas sepeti ESP32-CAM untuk aplikasi robotika. 
Implementasi Kendali Google Voice Pada Robot Avoider HC-SR04 Dengan Koneksi Bluetooth HC-05 Hulu, Antonius Jonathan; Setyawan, Gogor Christmass; Lase, Kristian Juri Damai
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 13, No 2: Agustus 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v13i2.1953

Abstract

There are hurdles to ensure the integration of Google Voice and Bluetooth can run together smoothly. This research aims to develop an Avoider robot that can be voice controlled through smart applications with the integration of bluetooth technology and ultrasonic sensors. The research process uses Arduino Uno as a microcontroller to control the hardware and execute the program that has been made, and 2 L9110 Motor Drivers to drive the four wheels of the Avoider robot. Based on the tests that have been carried out, the results of the study show that the integration of sensors and bluetooth is successful. Where bluetooth is able to receive data up to 12 meters in stable connection conditions and ultrasonic sensors are able to detect surrounding objects. And the intelligent application supports users with a friendly interface and can recognize voices, so controlling the Avoider robot becomes smooth.Keywords: Avoider Robot; Bluetooth HC-05; Ultrasonic Sensor HC-SR04; Smart Application; Arduino Uno AbstrakTerdapat rintangan untuk memastikan integrasi Google Voice dan Bluetooth dapat berjalan bersamaan dengan lancar. Penelitian ini bertujuan untuk mengembangkan robot Avoider yang dapat dikendalikan suara melalui aplikasi cerdas dengan integrasi teknologi bluetooth dan sensor ultrasonik. Adapun proses penelitian ini dengan menggunakan Arduino Uno sebagai mikrokontroler untuk pengendalian perangkat keras dan mengeksekusi program yang telah dibuat, dan 2 buah Motor Driver L9110 untuk mengerakkan keempat roda robot Avoider. Berdasarkan pengujian yang telah dilakukan, maka hasil dari penelitian menunjukkan bahwa integrasi sensor dan bluetooth berhasil. Dimana bluetooth mampu menerima data hingga 12 Meter dalam kondisi koneksi stabil dan sensor ultrasonik mampu mendeteksi objek sekitar. Serta Aplikasi cerdas mendukung pengguna dengan antarmuka yang ramah dan dapat mengenal suara, menjadi pengontrolan robot Avoider menjadi lancar. 
Rancang Bangun Robot Remote Control Menggunakan Teknologi DTMF Dengan SIM800L GPRS GSM Halawa, Beny Wirahmat; Setyawan, Gogor Christmass; Lase, Kristian Juri Damai
Progresif: Jurnal Ilmiah Komputer Vol 20, No 2: Agustus 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v20i2.1944

Abstract

Remote Control Robot is a mechanical device that is controlled remotely. This research aims to overcome the reliability and efficiency constraints of communication on remote control of robots by using DTMF technology and SIM800L GPRS GSM module. The prototype consists of SIM800L GPRS module as communication module, Arduino Nano used as the main microcontroller, motor driver L298N to control DC motor, ultrasonic sensor HC-SR04 for object detection, and other electronic components. Tests were conducted to ensure connection to the cellular network, call reception, and use of DTMF, as well as security features so that the robot only responds to commands from authorized numbers. The results showed that the prototype successfully met its functionality needs. The robot can be effectively controlled via DTMF signals under various network conditions. The implementation of DTMF technology and SIM800L GPRS GSM enables effective control of the robot without physical presence at the same location.Keywords: Robot Control; Arduino Nano; Dtmf Technology; Sim800l Gprs GSM AbstrakRobot Remote Control merupakan perangkat mekanik yang dikendalikan dari jarak jauh. Penelitian ini bertujuan mengatasi kendala keandalan dan efisiensi komunikasi pada pengendalian jarak jauh robot dengan menggunakan teknologi DTMF dan modul SIM800L GPRS GSM. Prototipe terdiri dari modul SIM800L GPRS sebagai modul komunikasi, Arduino Nano digunakan sebagai mikrokontroler utama, motor driver L298N untuk mengontrol motor DC, sensor ultrasonik HC-SR04 untuk deteksi objek, dan komponen elektronik lainnya. Pengujian dilakukan untuk memastikan koneksi ke jaringan seluler, penerimaan panggilan, dan penggunaan DTMF, serta fitur keamanan agar robot hanya merespon perintah dari nomor yang diizinkan. Hasil penelitian menunjukkan bahwa prototipe berhasil memenuhi kebutuhan fungsionalitasnya. Robot dapat dikontrol secara efektif melalui sinyal DTMF dalam berbagai kondisi jaringan. Implementasi teknologi DTMF dan SIM800L GPRS GSM memungkinkan pengendalian robot secara efektif tanpa kehadiran fisik di lokasi yang sama.Kata kunci: Robot Remote Control; Arduino Nano; Teknologi Dtmf; Sim800l Gprs Gsm
Model Sistem Pengering Tenaga Surya Berbasis IoT dengan ESP32 dan DHT-11 Setyawan, Gogor Christmass; Setyawan, Leonard Joseph
Progresif: Jurnal Ilmiah Komputer Vol 21, No 1: Februari 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i1.2398

Abstract

This study examines the development of a solar-powered drying system that integrates Internet of Things technology to increase the efficiency of drying agricultural products. The problems faced by small farmers, especially related to inefficiencies in drying methods, are the background for this research. The main objective is to design and implement a system that uses an ESP32 microcontroller and a DHT-11 sensor for real-time temperature and humidity monitoring. The applied methodology includes system design, prototype testing, and data analysis from field experiments. The results show that this system can increase drying efficiency by up to 30% compared to traditional methods. These findings confirm that the application of IoT technology in drying systems not only offers technical solutions, but also contributes to the welfare of small farmers by reducing post-harvest losses.Keywords: Solar dryer system; Internet of Things; Drying efficiency; Small farmers; Reduction of post-harvest losses. AbstrakStudi ini meneliti pengembangan sistem pengering tenaga surya yang mengintegrasikan teknologi Internet of Things untuk meningkatkan efisiensi pengeringan hasil pertanian. Permasalahan yang dihadapi petani kecil, terutama terkait ketidakefisienan dalam metode pengeringan, menjadi latar belakang penelitian ini. Tujuan utama adalah merancang dan menerapkan sistem yang menggunakan mikrokontroler ESP32 dan sensor DHT-11 untuk pemantauan suhu dan kelembapan secara real-time. Metodologi yang diterapkan mencakup desain sistem, pengujian prototipe, dan analisis data dari eksperimen lapangan. Hasil menunjukkan bahwa sistem ini dapat meningkatkan efisiensi pengeringan hingga 30% dibandingkan metode tradisional. Temuan ini menegaskan bahwa penerapan teknologi IoT dalam sistem pengeringan tidak hanya menawarkan solusi teknis, tetapi juga berkontribusi pada kesejahteraan petani kecil dengan mengurangi kerugian pascapanen.Kata kunci: Sistem pengering tenaga surya; Internet of Things; Efisiensi pengeringan; Petani kecil; Pengurangan kerugian pascapanen
Pemberdayaan Ekonomi Masyarakat Melalui Penguatan UMKM melalui Kegiatan Pengabdian pada Masyarakat Setyawan, Gogor Christmass; Arjang; Nofirman; Sitopu, Joni Wilson; Harniati; Safitri, Elvina
Jurnal Pengabdian West Science Vol 2 No 03 (2023): Jurnal Pengabdian West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jpws.v2i03.280

Abstract

Pemasaran telah menjadi aspek penting dalam perkembangan bisnis sejak zaman usaha kecil saat ini. Social project marketing dan pengabdian yang kami kerjakan bertujuan untuk mengedukasi para pedagang kecil yang memiliki keterbatasan pengetahuan dan keahlian dalam manajemen pemasaran. Tempat dari Ayam Bakar Ginessa 1 ini penampilannya kurang menarik , tidak terlihat karena tempatnya yang kecil, agak sedikit kurang bersih,dan juga tata letak meja dan kursinya agak sedikit sempit. Pemasaran yang dilakukan Ayam Bakar Ginessa 1 menggunakan pemasaran langsung dan juga pemasaran pribadi.
Comparative Study of Fuzzy Inference System and Adaptive Neuro-Fuzzy Inference System in Public Sentiment Analysis of Kabinet Merah Putih Budiati, Haeni; Setyawan, Gogor Christmass; P.Hurit, Lud Gerdus; Lase, Kristian J.D.
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1538

Abstract

Purpose: This study aims to compare two fuzzy logic-based approaches, namely the Fuzzy Inference System (FIS) and the Adaptive Neuro-Fuzzy Inference System (ANFIS), in analyzing public sentiment toward the Kabinet Merah Putih.Methods: A dataset of 1,197 tweets was collected from Twitter (X) between October 2024 and April 2025 using specific keywords. After preprocessing and polarity measurement with TextBlob, the sentiment values were mapped into seven categories: strongly negative, negative, weakly negative, neutral, weakly positive, positive, and strongly positive. The classification was performed using both FIS and ANFIS. Evaluation metrics included accuracy, precision, recall, F1-score, and error rate (MSE and RMSE).Result: Experimental results show that FIS achieved an overall accuracy of 79.2%, performing well on majority classes but failing to identify several minority classes. In contrast, ANFIS obtained an accuracy of 92.5% with very low error (MSE = 0.0341, RMSE = 0.1848), demonstrating strong capability in classifying majority and several minority categories. Overall, ANFIS outperformed FIS, proving more effective in capturing sentiment patterns and aligning with the actual distribution of public opinion..Novelty: This study offers novelty by explicitly comparing the performance of FIS and ANFIS in multi-level sentiment analysis of Indonesian social media data, an approach that has not been explored in prior research.
PELATIHAN DAN PERAKITAN LAMPU PANEL SURYA BAGI MASYARAKAT OPAK-GREMBYANGAN MADUREJO PRAMBANAN SLEMAN Setyawan, Gogor Christmass; Budiati, Haeni; Jatmika, Jatmika; Jacobus, Liefson; Dwiputranto, Surjawirawan
Devote: Jurnal Pengabdian Masyarakat Global Vol. 1 No. 2 (2022): Devote : Jurnal Pengabdian Masyarakat Global, Desember 2022
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.824 KB) | DOI: 10.55681/devote.v1i2.361

Abstract

A program of community service has been implemented, with a focus on designing and producing low-cost, easily-assembled solar panels for the Opak-Grembyangan Madurejo Pramabanan village community. Creation of solar panel lighting systems that are practical to use and are capable of producing up to 100 Watts of electricity. The actions taken serve to introduce people to renewable energy sources, educate them about it, and help with solar panel lighting for the master plan area for village tourism development. Village communities may be equipped with the knowledge and skills necessary to create solar panel lights independently and for mass production after receiving continual mentoring and training. Alternative energy management is a more broad goal to be able to lessen reliance on fossil fuels and create a green tourism sector.
Co-Authors Agus Riyadi Agustinus Rudatyo Himamunanto Ama, Marniati Triningsi Tamo Amri Amri Ardian Al Hidayat ARIEF BUDI PRATOMO arjang arjang Artanty, Ary Dahlan Abdullah Dedi Gunawan Saputra Desri A.F. Waruwu Dimas Sasongko Edy Winarno Elvina Safitri Endang Fatmawati Ferdinand Salomo Leuwpl Guilin, Xie Haeni Budiati Halawa, Beny Wirahmat Hanifah Nurul Muthmainah Harniati Harniati Hulu, Antonius Jonathan Hulu, Faris Anwarman Indah Kusuma Dewi, Indah Kusuma Jatmika Jatmika Jatmika Jeperson Hutahaean Jeperson Hutahaean Jiao, Deng Johansen Hutajulu Joni Wilson Sitopu Kraugusteeliana Kristian Juri Damai Lase Kristiono, Natal Lase, Kristian J.D. Lasman Eddy Bachtiar Legito . Liefson Jacobus, Liefson Maya Putri Nawansari Nofirman Nofirman, Nofirman P.Hurit, Lud Gerdus Rifky Lana Rahardian Safitri, Elvina Saludin Saludin Saputra Adiwijaya Setyawan, Leonard Joseph SILAEN, KARINA Sitorus, Lamhot Surjawirawan Dwiputranto Susi Yusrianti, Susi Wibowo, Gentur Wahyu Nyipto Yovita Yovita