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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 JITK (Jurnal Ilmu Pengetahuan dan Komputer) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Nasional Komputasi dan Teknologi Informasi Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal KOMPUTIKA - Jurnal Sistem Komputer 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 Indonesian Community Journal Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Atma Inovasia Digital Transformation Technology (Digitech) Jurnal Manajemen Bisnis dan Organisasi 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
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PENGEMBANGAN APLIKASI PENGENALAN PROFESI BERBASIS AUGMENTED REALITY BAGI SISWA TAMAN KANAK-KANAK Fransiska Pasinia Bele Bau; Siprianus Septian Manek; Patricia Gertudis Manek; Budiman Baso
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.7875

Abstract

The profession introduction learning process at TK Negeri Dharma Wanita Kefamenanu is currently still conventional and teacher-centered, using images and videos as media, which makes children tend to be passive and less actively engaged. This study aims to produce a profession introduction application based on Augmented Reality (AR) that is suitable for the characteristics of kindergarten students. The development followed the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) with implementation using Unity and Vuforia. The application displays 3D objects of thirteen professions equipped with animations, audio, and a letter-arranging game. Functional testing (Black Box Testing) and User Acceptance Testing (UAT) were conducted. The test results showed that all features functioned properly and the UAT average score reached 93.02% in the very good category. The conclusion of this study is that the ProfesiKu AR application was successfully developed and is feasible to be used as a learning medium for profession introduction for kindergarten students.
Eksperimen Fisika Berbasis Virtual Pada Materi Dinamika Bagi Siswa Siswi SMPK St. Antonius Padua Sasi Kefamenanu Fetronela Rambu Bobu; Ernes Josias Blegur; Yasinta O.L. Rema; Handrianus Vianey Melin Wula; Budiman Baso
I-Com: Indonesian Community Journal Vol 6 No 1 (2026): I-Com: Indonesian Community Journal (Maret 2026)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/i-com.v6i1.8779

Abstract

Pembelajaran fisika pada materi dinamika di tingkat SMP sering mengalami kendala karena konsep yang bersifat abstrak dan terbatasnya penggunaan media pembelajaran interaktif. Metode pembelajaran fisika di SMPK St. Antonius Padua Sasi Kefamenanu berbasis ceramah. Konsep fisika yang bersifat abstrak menjadi sukar dipahami oleh siswa. Kegiatan ini bertujuan untuk menerapkan eksperimen fisika berbasis virtual menggunakan PhET guna meningkatkan pemahaman konsep dinamika siswa SMPK St. Antonius Padua Sasi Kefamenanu. Metode pelaksanaan kegiatan terdiri atas empat tahapan, yaitu analisis kebutuhan mitra, koordinasi pra pelaksanaan, pelaksanaan kegiatan, dan evaluasi. Kegiatan dilaksanakan di laboratorium komputer dengan melibatkan siswa dalam eksperimen virtual pada materi hukum Newton. Evaluasi dilakukan melalui pemberian angket atau kuisioner kepada siswa. Hasil kegiatan menunjukkan bahwa siswa memberikan respon positif terhadap penggunaan PhET, menunjukkan antusiasme dan keterlibatan aktif selama pembelajaran, serta mengalami peningkatan persepsi pemahaman konsep gaya, massa, dan percepatan. Selain itu, guru memperoleh pengalaman dalam memanfaatkan media pembelajaran interaktif sebagai pelengkap eksperimen konvensional. Kegiatan ini disarankan untuk dikembangkan secara berkelanjutan dan diterapkan pada materi fisika lainnya yang memerlukan visualisasi konsep.
PENERAPAN TEKNOLOGI QR CODE BERBASIS WEBSITE PADA SISTEM MANAJEMEN BARANG DI TOKO FILOSI LAPTOP Elisabeth Lusyanti Mudjur; Budiman Baso; Patricia Gertrudis Manek; 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; Yokmiawanti Selan; Darsono Nababan; Budiman Baso
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.
KOMPARASI PERFORMA ALGORITMA K-NEAREST NEIGHBOR DAN SUPPORT VECTOR MACHINE UNTUK KLASIFIKASI CITRA TEKSTUR TENUN budiman baso
Jurnal Komputer dan Teknologi Vol 5 No 2 (2026): JUKOMTEK JULI 2026
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jukomtek.v5i2.723

Abstract

The diversity of woven fabrics on Timor Island makes it difficult to distinguish between types of woven fabrics and their origins. Each region on Timor Island has its own woven fabric motifs that represent local culture. There are Timor woven motifs that look similar but have different types. Each motif and process of making weaving on Timor Island can describe the type and origin of the weaving. To distinguish Timor woven fabrics, it can be seen from the style of motifs or textures contained in Timor woven fabrics. Therefore, the pattern recognition of Timor woven motifs with the concept of classification is implemented using the K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) classification algorithms based on texture feature extraction using the Gray Level Co-Occurrence Matrix (GLCM). This study aims to compare the performance of the two classification algorithms. Several parameters are used to configure the KNN and SVM algorithms to determine the performance gap between the two algorithms. The experimental architecture was carried out on 500 images of Timor weaving with 4 motifs; the image dataset will be divided into 75% training data and 25% testing data using the hold-out validation method. From the experimental results, the KNN algorithm using Euclidean distance with 1 Neighbor obtained the best performance, with an Accuracy rate of 88.73%, Precision of 89.41%, Recall of 88.73%, and F1-Score of 89.07%.
Rancang Bangun Mesin Roasted Biji Kopi Timor Portabel Berbasis Internet Of Things (IoT) dengan Mikrokontroler ESP32 Alfonsus Jefri Oematan; Yoseph P.K. Kelen; Budiman Baso; Willy Sucipto
Jurnal Krisnadana Vol 3 No 3 (2024): Jurnal Krisnadana – Mei 2024
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v3i3.606

Abstract

Sejak tahun 1980, ide pengembangan tanaman kopi di Timor khususnya di Eban, muncul karena kondisi suhu yang mendukung pertumbuhan tanaman kopi di daerah ini, terutama di desa Suanae. Perkembangan meningkat sehingga  popularitas kopi di Timor semakin tinggi.  Namun, untuk dapat di nikmati, kopi harus melewati suatu prosees penting yaitu proses penyangraian. Proses penyangraian kopi yang masih di gunakan saat ini masih menggunakan alat serta cara manual. bahan baku dan penikmat kopi di Timor sangat banyak namun ketersediaan mesin sangrai portable yang dilengkapi dengan teknologi berbasis Internet of Things (IoT) masih belum ada. Sehingga untuk mengkatkan efisiensi dan kontrol dalam proses penyangraian, teknologi berbasis IoT dapat di manfaatkan sebagai solusi. Dimana  sistem yang di bangun berjalan semiotomatis dan telah terkoneksi dengan internet menggunakan mikrokontoler ESP32 sehingga suhu dan waktu pada proses penyangraian dapat  di monitoring dan di seting memalui Smartphone menggunakan aplikasi Blynk. Dalam mesin Roastet Portable ini menggukanan sensor Thermocouple Max6675 sebagai pengukur suhu pada tabung sangrai dan Push Button untuk memngatur waktu penyangraian  serta mikrokontroler ESP32 sebagai pusat kendali utama dan pemroses data. Hasil dari sistem yang di buat ini adalah sistem mampu mengirim dan menampilkan data, serta mengontrol peroses penyangraian biji kopi dengan baik.
HYBRID DATA MINING METHODS TO SUPPORT MSME SUSTAINABILITY IN RURAL AND URBAN AREAS Krisantus Jumarto Tey Seran; Debora Chrisinta; Yasinta Oktaviana Legu Rema; Hevi Herlina Ullu; Budiman Baso
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 12 No. 1 (2026): JITK Issue August 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v12i1.8271

Abstract

This study aims to analyze the factors influencing the sustainability of MSMEs in North Central Timor Regency by utilizing the K-Mode clustering method and Naive Bayes classification. The data used includes 550 MSMEs in North Central Timor Regency, East Nusa Tenggara Province, classified based on attributes such as location, product price, financial condition, innovation, technology utilization, and sustainability. The K-Mode method was employed to group MSMEs based on categorical similarities after the data was segmented by location attributes, while the Naive Bayes method was applied to classify MSME sustainability following clustering. The results indicate that in rural areas, MSMEs tend to dominate with high product prices and good financial conditions but show low levels of innovation and technology utilization. In contrast, MSMEs in urban areas are generally more innovative and technology-driven despite facing infra-structure challenges. The application of Naive Bayes demonstrated that a data training ratio of 70:30 yielded the best accuracy. Accordingly, the resulting model can be utilized to monitor the sustainability conditions of MSMEs. This study provides insights into sustainability patterns of MSMEs in both rural and urban areas and opens opportunities for further research on external factors affecting sustainability and barriers to technology adoption in rural areas.
Identifikasi Penyakit Daun Cendana Berbasis Deep Learning Convolutional Neural Network Budiman Baso; Ramaulvi Muhammad Akhyar
Journal of Information and Technology Vol. 4 No. 2 (2024): 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.v4i2.11319

Abstract

Leaf diseases are the primary pathological constraint reducing the productivity and economic value of sandalwood trees (Santalum album). Conventional symptom identification is often hampered by observer subjectivity and low time efficiency. This study implements computer vision technology using a Deep Learning algorithm based on a Convolutional Neural Network (CNN) to automate the identification of sandalwood leaf diseases. By utilising convolutional layers, the model is able to autonomously extract morphological and chromatic features to recognise complex leaf damage patterns without the need for manual feature extraction. The results of the study show that the CNN model delivers superior performance, with accuracy, precision, recall, and F1-score reaching 100%, as well as a computational time efficiency of 1 minute and 18 seconds. It is hoped that the implementation of this technology will serve as a precise early-diagnosis tool for forestry practitioners in supporting conservation efforts and safeguarding the sustainability of the sandalwood population, particularly in the Timor region.
PENDEKATAN MACHINE LEARNING UNTUK ANALISIS KEMISKINAN EKSTREM DALAM PERENCANAAN DAERAH PERBATASAN RI - RDTL Rya Wardani; Budiman Baso
Jurnal Manajemen Bisnis Dan Organisasi Vol 5 No 1 (2026): Jurnal Manajemen Bisnis Dan Organisasi (JMBO)
Publisher : Yayasan Pendidikan Cahaya Budaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64626/jmbo.v5i1.742

Abstract

Penelitian ini bertujuan untuk memetakan faktor kunci penyebab kemiskinan ekstrem dan membangun model prediksi berbasis kecerdasan buatan (machine learning) di Kabupaten Timor Tengah Utara. Menggunakan data Pensasaran Percepatan Penghapusan Kemiskinan Ekstrem (P3KE), penelitian ini dirancang untuk membantu pemerintah daerah dalam menyusun perencanaan pembangunan yang presisi di wilayah perbatasan Indonesia–Timor Leste. Data awal terlebih dahulu dibersihkan dan diselaraskan agar siap diolah secara statistik. Pengujian model dilakukan secara berulang untuk memastikan keakuratannya, sementara analisis kontribusi variabel dilakukan menggunakan metode interpretasi khusus (SHAP) untuk melihat sejauh mana tiap indikator berpengaruh terhadap status kemiskinan. Hasil analisis menunjukkan model prediksi mencapai tingkat akurasi sebesar 70,73%. Faktor-faktor sosial-ekonomi yang paling dominan memengaruhi kemiskinan ekstrem meliputi Risiko Stunting, Akses Listrik/Penerangan, Kepemilikan Aset Simpanan (Tabungan/Ternak), Mata Pencaharian Kepala Keluarga, Kualitas Dinding Rumah, Status Kepemilikan Rumah, Sumber Air Bersih, dan Kualitas Lantai Rumah. Hasil ini membuktikan bahwa pemanfaatan data digital dan analitik modern dapat menghasilkan basis data yang objektif untuk mendukung kebijakan penanggulangan kemiskinan berbasis bukti (evidence-based policy) yang lebih efektif dan tepat sasaran.
Co-Authors Achmad Fariz Akhyar, Ramaulvi Muhammad Alfonsus Jefri Oematan Alfonsus Jefri Oematan Anastasia Kadek Dety Lestari Arisandi, Diki Avin Nahak Ayaq, Siriakus Lalang L Aziz, Syaefudin Banusu, Junita Banusu, Junita Gregoria Benu, Didi Prasetyo Benu, Luky Wandika Bere, Mery Ernawati Biandina Meidyani Bukifan, Priska Vianey Chrisinta, Debora Christanti, Cindy Claudia Crisintha, Debora Dimas Agustian Dira Asri Pramita Egas De Jesus Martins Corbafo Eko, Yulita Eli , Maria Yuliana Elisabeth Lusyanti Mudjur Ernes Josias Blegur Fetronela Rambu Bobu Fetronela Rambu Bobu Florian Mayesti P.R. Makin Fransiska Pasinia Bele Bau Gelu, Leonard Peter Gelu, Leonard Peter Getrudis Mali, Matilde Guido Adolfus Suni Haeruddin Handrianus Vianey Melin Wula Herlina Ullu, Hevi Hernur Yoga Priyambodo Hevi Herlina Ullu Hevi Herlina Ullu I Gede Arya Wiguna Irit Maulana Sapta Josep Antonius Ufi Kabut, Stefanus Kamaluddin Kamaluddin Kolo, Yesualda Rogeria Korbaffo, Yesus Armiro Kristoforus Fallo Leonard P. Gelu Leonard Piter Gelu Lestari, Anastasia Kadek Dety Lisnahan, Charles V. Lukas Pardosi Luky Wandika Benu Manane, Desmon R. Manane, Desmon Redikson Manek, Patricia G. Maneno, Regolinda Maria Yuliana Eli Muhammad Akhyar, Ramaulvi Nababan, Darsono Nanik Suciati Nurul Huda Nurul Huda Oswaldo Da Conceicao Patricia Gertrudis Manek Patricia Gertudis Manek Priska Vianey Bukifan Ramaulvi Muhammad Akhyar Renaldi Yulvengki Kolloh Risald Rizald Rya Wardani Saniyatul Mawaddah Siahaan, Desta Gloria Siprianus Septian Manek Sitorus, Detson Ray Halomoan Sutal, Dominika Muti Syaefudin Aziz Tey Seran, Krisantus Jumarto Ullu, Hevi Herlina Usfinit, Katarina D.M Valeriano Fajar Alexandro Nipu Welsiliana Willy Sucipto Willy Sucipto Yasinta O.L Rema Yayu Ulfaningsi Subagio Yeremia, Elfira Yeremias Lake Yohanes D B Pay Yohanes D. B Pay Yokmiawanti Selan Yoseph Pius Kurniawan Kelen Yunita, Elisa