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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Informatics for Educators and Professional : Journal of Informatics METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Nasional Komputasi dan Teknologi Informasi Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Tekno Kompak bit-Tech Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Tekinkom (Teknik Informasi dan Komputer) BERNAS: Jurnal Pengabdian Kepada Masyarakat Aiti: Jurnal Teknologi Informasi Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Pengabdian kepada Masyarakat Nusantara Community Empowerment Inspirasi Ekonomi : Jurnal Ekonomi Manajemen Journal Of Information And Technology Unimor (JITU) Jurnal Abdimas Kartika Wijayakusuma Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Sisfotek Global Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Atma Inovasia Digital Transformation Technology (Digitech) Smart Techno (Smart Technology, Informatic and Technopreneurship) Journal of Informatics and Computing Jurnal Krisnadana Jurnal Umum Pengabdian Masyarakat (JUPEMAS) Jurnal Komputer dan Teknologi (JUKOMTEK) Glow: Jurnal Pengabdian Kepada Masyarakat Jurnal Sains Sistem Informasi Journal of Mathematics, Computation and Statistics (JMATHCOS)
Baso, Budiman
Universitas Timor
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Nursing Public Health Social Sciences Transportation Veterinary Other

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Pembuatan dan Deploy API di Google Cloud Platform Menggunakan Cloud Run Services Conceicao, Oswaldo Da; Rema, Yasinta O. L.; Baso, Budiman; Suni, Guido Adolfus
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3524

Abstract

This research discusses the development, testing, and deployment of a backend API using Google Cloud Platform (GCP), with Firestore as the database and Cloud Storage for storing user profile photos. The API was developed using Express.js, integrated with Firestore and Cloud Storage, and tested for functionality using Postman. Deployment is done to Cloud Run via creating a Dockerfile and building a Docker image. Test results showed that the API was able to handle 7,875 requests in five minutes, with an average of 25.64 requests per second and an average response time of 97 ms. All endpoints are stable, responsive, and error-free. This research focuses on the application of cloud technology to the development of sign language applications, and shows that the use of GCP services can produce efficient and scalable API solutions. These results are significant in supporting the development of cloud-based applications to meet user needs effectively, especially in mobile applications that require reliable backend services.
Introduction of Indonesian Significant Alphabet Images (BISINDO) using The Convolutional Neural Network Algorithm Kabut, Stefanus; Kelen, Yoseph Pius Kurniawan; Baso, Budiman; Chrisinta, Debora
JURNAL SISFOTEK GLOBAL Vol 15, No 1 (2025): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v15i1.15678

Abstract

Bisindo alphabet recognition is the process by which a computer system or software recognizes and recognizes the letters of the Bisindo alphabet. The Bisindo alphabet is a special alphabet used to communicate with people who are hearing or speech impaired. This process uses image processing and machine learning techniques to identify and classify each letter based on its shape and visual characteristics. This study used a dataset consisting of 520 Kaggle images divided into 26 categories. These images are resized, normalized and scaled up to improve model performance. A Convolutional Neural Network (CNN) model was developed and achieved 99.12587% accuracy after training. After the model was developed, the API was implemented using Flask. API functionality is tested using online interactions, ensuring accurate responses to image classification before implementation in mobile applications.
Rancang Bangun Sistem Keamanan Dan Monitoring Suhu Serta Kontrol Lampu Kandang Ayam Broiler Berbasis Internet Of Things (IoT) Egas De Jesus Martins Corbafo; Yoseph P. K. Kelen; Budiman Baso; Willy Sucipto
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 5 No. 2 (2023)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v5i2.95

Abstract

In this research, a tool was designed to help chicken farmers in their daily farming activities. The common problems faced by chicken farmers are theft and the need to manually check the temperature inside the coop. Therefore, a Security and Temperature Monitoring System as well as Broiler Chicken Coop Lamp Control Based on the Internet of Things (IoT) was created using Arduino Uno as the controller for the entire system. The tools used in this system are Arduino Uno, HC-SR04 Ultrasonic sensor, Buzzer, DHT22, 16x2 LCD, ESP8266, Breadboard, Relay, and Incandescent Lamp. The method used to create this tool is the engineering design method in the automation system. The test results showed that the system was able to maintain the temperature inside the chicken coop according to the ideal conditions for Broiler chickens.
SISTEM PAKAR MENDIAGNOSA GEJALA PENYAKIT KULIT PADA BALITA MENGUNAKAN METODE CERTANTY FACTOR BERBASIS WEB Sutal, Dominika Muti; Kelen, Yoseph Pius Kurniawan; Baso, Budiman
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 2 (2025): EDISI 24
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i2.5610

Abstract

Kulit merupakan bagian dari tubuh manusia yang memiliki banyak peran. Salah satunya sebagai alat pengeluaran berupa kalenjer keringat dan tempat di buatnya vitamin D dengan bantuan sinar matahari. Pada beberapa macam penyakit kulit peran ini terganggu karna kulit terlihat bersisik, tebal, kasar dan kering. Melihat permasalahan tersebut, penulis berusaha merancang dan membangun suatu aplikasi sistem pakar untuk bisa digunakan mendeteksi penyakit kulit dengan tujuan mengimplementasikan metode Certainty Factor ke dalam aplikasi sistem pakar diagnosa penyakit kulit pada balita (studi kasus : Puskesmas Mamsena). Metode yang digunakan dalam pengembangan sistem pakar untuk diagnosa penyakit kulit pada balita ini adalah metode waterfall atau yang biasa disebut metode air terjun. Hasilnya menunjukkan penyakit yang diderita oleh anak, nilai tingkat kepercayaan dari hasil diagnosa tersebut, serta solusi yang dapat dilakukan untuk penyakit yang diderita. Penerapan sistem Pakar ini dapat membantu masyarakat atau para orang tua dalam menangani penyakit kulit pada balita dengan tepat. Kesimpulan yang didapat User dapat menganalisa sendiri penyakit kulit yang dialami oleh balita berdasarkan informasi yang disediakan dalam website. Sistem pakar yang telah dibangun ini masih memiliki beberapa kekurangan sehingga dibutuhkan pengembangan lebih lanjut agar lebih baik lagi.
Analisis Pengaruh Data Augmentasi Pada Klasifikasi Tenun Menggunakan Deep Learning Berbasis Convolutional Neural Network: Analisis Pengaruh Data Augmentasi Pada Klasifikasi Tenun Menggunakan Deep Learning Berbasis Convolutional Neural Network Baso, Budiman; Risald, Risald; Muhammad Akhyar, Ramaulvi
Journal of Information and Technology Vol. 5 No. 1 (2025): Journal of Information and Technology Unimor (JITU)
Publisher : Department of Information Technology, Universitas Timor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jitu.v5i1.9209

Abstract

This research develops a classification model of Timorese weaving motifs using Deep Learning method based on Convolutional Neural Network (CNN). Timor's diverse weaving motifs reflect the richness of local culture, but manual classification takes a long time and is prone to subjectivity. To improve model performance, Data Augmentation techniques, such as flipping, rotation, and zooming,, are applied to enrich the variety of pre-processed Timor weaving image datasets. In addition, the CNN model was developed using Transfer Learning techniques to improve training efficiency. Experimental results show that CNN without augmentation achieves 95.00% accuracy, 95.00% precision, 95.08% recall, and 95.04% F1-score, with a computation time of 2.37 minutes at 30 epochs. Meanwhile, applying Data Augmentation increased the model accuracy to 96.66%, precision 96.66%, recall 96.87%, and F1-score 96.77%, and reduced the computation time to 2.11 minutes. Analysis of the effect of augmentation data shows that increasing the variety of images contributes to the improvement of model generalization. Therefore, the use of CNN with Data Augmentation is a more optimal solution in the classification of Timorese weaving motifs. This research has the potential to support cultural preservation as well as the development of an artificial intelligence-based weaving motif identification system.
PENERAPAN TEKNOLOGI QR CODE BERBASIS WEBSITE PADA SISTEM MANAJEMEN BARANG DI TOKO FILOSI LAPTOP Mudjur, Elisabeth Lusyanti; Baso , Budiman; Manek, Patricia Gertrudis; Risald, Risald
Jurnal Komputer dan Teknologi Vol 4 No 1 (2025): JUKOMTEK JANUARI 2025
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58290/jukomtek.v4i1.424

Abstract

Dalam era digital saat ini, penggunaan teknologi informasi menjadi hal penting dalam meningkatkan efisiensi dan keakuratan sistem manajemen, termasuk dalam pengelolaan inventory barang. Toko Filosi Laptop yang berlokasi di Kefamenanu masih menggunakan sistem pencatatan inventory secara konvensional, yang sering menimbulkan berbagai kendala seperti kesalahan pencatatan, keterlambatan pembaruan data, dan kesulitan pelacakan stok. Untuk menjawab permasalahan tersebut, penelitian ini bertujuan membangun sistem manajemen inventory berbasis website yang terintegrasi dengan teknologi QR Code, guna mempermudah proses pencatatan barang masuk dan keluar, pelacakan stok secara real-time, serta pembuatan laporan secara otomatis. Sistem dikembangkan menggunakan Metode Agile Software Development karena sifatnya yang fleksibel dan memungkinkan pengembangan secara bertahap berdasarkan kebutuhan pengguna. Diharapkan, sistem ini mampu membantu Toko Filosi dalam meningkatkan efisiensi operasional dan meminimalisir kesalahan yang terjadi dalam proses pengelolaan barang
PERANCANGAN APLIKASI PEMBELAJARAN PENGENALAN KOSAKATA PADA ANAK TUNARUNGU SISWA SDLB KEFAMENANU Risald; Selan, Yokmiawanti; Nababan, Darsono; Baso, Budiman
Jurnal Komputer dan Teknologi Vol 4 No 1 (2025): JUKOMTEK JANUARI 2025
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58290/jukomtek.v4i1.457

Abstract

Deafness is a condition in which a person experiences significant hearing loss. This loss of hearing ability makes it difficult for individuals to communicate and adapt to their surroundings, especially when it affects students. One of the main challenges faced by deaf students is communication during the learning process. The Vocabulary Learning Introduction Application is an Android-based application designed to assist hearing-impaired users during teaching and learning activities. With this application, users simply need to select and tap the available features, which will then direct them to the appropriate learning pages. This application is highly beneficial for deaf students, as it helps facilitate communication during the learning process and also trains students to better understand and memorize vocabulary using sign language. Based on the designed learning scenarios, the results show that students are trained to understand and retain vocabulary more easily in their memory. Given their limitations, students are not pressured to perform but are instead guided according to their individual abilities to understand vocabulary.
Peningkatan Kualitas Sumber Daya Manusia Pada Arsyta Bakery Melalui Pelatihan Social Media Marketing Huda, Nurul; Baso, Budiman; Aziz, Syaefudin; Korbaffo, Yesus Armiro; Manane, Desmon R.
Jurnal Abdimas Kartika Wijayakusuma Vol 4 No 2 (2023): Jurnal Abdimas Kartika Wijayakusuma
Publisher : LPPM Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jakw.v4i2.325

Abstract

Arsyta Bakery merupakan salah satu UMKM industri roti di Kota Kefamenanu, Kabupaten Timor Tengah Utara (TTU) yang telah berdiri sejak tahun 2009. Persaingan industri roti di Kabupaten TTU semakin kesini semakin kompetitif yang berdampak terhadap kuantitas jumlah produksi dan penjualan roti pada Arsyta Bakery. Berdasarkan hasil observasi awal dengan pemilik UMKM Sdr. Joko Wahyono, sejak pandemi COVID-19 jumlah penjualan roti yang diproduksinya mengalami penurunan hal tersebut disebabkan selain adanya persaingan dari produk sejenis juga disebabkan oleh adanya perubahan kebiasaan masyarakat dalam berbelanja. Pandemi COVID-19 telah mengurangi aktivitas masyarakat di luar rumah dan lebih sering berbelanja secara online. Kegiatan pengabdian masyarakat yang dilakukan berupa pelatihan social media marketing untuk meningkatkan kualitas sumber daya manusia pada UMKM Arsyta Bakery. Hasil kegiatan menunjukkan mitra telah memiliki akun media sosial berupa weblog: https://s.id/Arsytabakery dan google profil bisnis: https://s.id/ProfileArsytaBakery dan para karyawannya telah mampu melakukan promosi melalui akun media sosial secara mandiri.
Pemberdayaan Kelompok Taruna Tani Jabalfarm Milenial melalui Teknologi Irigasi Tetes Otomatis Berbasis IoT pada Pertanian Lahan Kering Baso, Budiman; Risald; Lestari, Anastasia Kadek Dety
Jurnal Atma Inovasia Vol. 5 No. 4 (2025)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v5i4.10769

Abstract

Pertanian di Kabupaten Timor Tengah Utara menghadapi tantangan besar terkait kekurangan air dan efisiensi sistem irigasi konvensional. Untuk mengatasi masalah ini, dilakukan pengabdian masyarakat dengan penerapan teknologi irigasi tetes otomatis berbasis IoT dan digital marketing pada Kelompok Taruna Tani (KTT) Jabalfarm Milenial. Metode pelaksanaan mencakup sosialisasi, pelatihan, penerapan teknologi, dan pendampingan. Hasil menunjukkan bahwa teknologi ini mengurangi penggunaan air hingga 50% dan meningkatkan hasil panen cabai sebesar 25%. Tantangan utamanya adalah adaptasi masyarakat terhadap teknologi baru, yang memerlukan dukungan teknis berkelanjutan. Pengembangan pemasaran digital juga diperlukan untuk meningkatkan penjualan. Teknologi ini efektif dalam meningkatkan efisiensi pertanian dan produktivitas dengan dukungan yang tepat.
Sistem Informasi Manajemen Penelitian dan Pengabdian kepada Masyarakat di LPPM Universitas Timor Berbasis Web Risald, Risald; Baso, Budiman
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 15 No 2 (2025): September 2025
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v15i2.930

Abstract

This study discusses the development of the Research and Community Service Management Information System (Simpeka) at the Institute for Research and Community Service (LPPM) of the University of Timor to optimize the submission process for research and community service proposals. This web-based system was developed using PHP 5.6, MySQL 5.7, HTML5, CSS3, and JavaScript ES6. Testing involved the LPPM and relevant stakeholders to ensure the system met user requirements. The implementation results show an increase in the number of proposals from 150 in 2023 to 169 in the current year (an increase of 12.67%), a reduction in the average review time from 14 days to 7 days (50% efficiency), and a decrease in funding validation time from 7 days to 2 days (71.4% efficiency). The percentage of proposals validated according to the budget increased from 80% to 95% (an accuracy improvement of 18.75%). Technically, the Simpeka dashboard has an average load time of 1.8 seconds and a database query response time of 0.35 seconds. These improvements demonstrate that Simpeka can accelerate administrative processes, enhance transparency, and strengthen accountability in the management of research and community service at the University of Timor
Co-Authors Achmad, Fariz Akhyar, Ramaulvi Muhammad Alfonsus Jefri Oematan Anastasia Kadek Dety Lestari Arisandi, Diki Avin Nahak Ayaq, Siriakus Lalang L Aziz, Syaefudin Benu, Luky Wandika Bere, Mery Ernawati Biandina Meidyani Bukifan, Priska Vianey Chrisinta, Debora Conceicao, Oswaldo Da Egas De Jesus Martins Corbafo Eko, Yulita Fetronela Rambu Bobu Gelu, Leonard Peter Gelu, Leonard Peter Haeruddin Hernur Yoga Priyambodo Hevi Herlina Ullu Hevi Herlina Ullu Irit Maulana Sapta Kabut, Stefanus Kolo, Yesualda Rogeria Korbaffo, Yesus Armiro Kristoforus Fallo Leonard P. Gelu Leonard Piter Gelu Lestari, Anastasia Kadek Dety Lisnahan, Charles V. Luky Wandika Benu Manane, Desmon R. Manane, Desmon Redikson Manek, Patricia Gertrudis Maneno, Regolinda Manikin, Josep Antonius Maria Yuliana Eli Matilde Getrudis Mali Mudjur, Elisabeth Lusyanti Muhammad Akhyar, Ramaulvi Nababan, Darsono Nanik Suciati Nurul Huda Nurul Huda Patricia Gertrudis Manek Renaldi Yulvengki Kolloh Risald Saniyatul Mawaddah Selan, Yokmiawanti Sitorus, Detson Ray Halomoan Suni, Guido Adolfus Sutal, Dominika Muti Syaefudin Aziz Tey Seran, Krisantus Jumarto Ullu, Hevi Herlina Usfinit, Katarina D.M Valeriano Fajar Alexandro Nipu Willy Sucipto Willy Sucipto Yasinta O.L Rema Yayu Ulfaningsi Subagio Yeremia, Elfira Yeremias Lake Yohanes D B Pay Yohanes D. B Pay Yoseph Pius Kurniawan Kelen Yunita, Elisa