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All Journal Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana SINTECH (Science and Information Technology) Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) ComTech: Computer, Mathematics and Engineering Applications International Journal of Engineering, Science and Information Technology Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
Cokorda Pramartha
Universitas Udayana
Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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PENGEMBANGAN SISTEM PENGELOLAAN ARSIP KELUARGA BERBASIS WEBSITE DALAM UPAYA PELESTARIAN INFORMASI KELUARGA Putu Bayu Baskara; Cokorda Rai Adi Pramartha; I Gusti Ngurah Anom Cahyadi Putra
Jurnal Pengabdian Informatika Vol. 1 No. 4 (2023): JUPITA Volume 1 Nomor 4, Agustus 2023
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Arsip keluarga merupakan data penting bagi setiap anggota keluarga. Jumlah arsip keluarga berbanding lurus dengan jumlah, peran, dan aktivitas anggota keluarga. Pengelolaan arsip keluarga biasanya dilakukan dengan cara konvensional yang memiliki kekurangan terkait kelestarian wujud fisik arsip, efisiensi tempat pemberkasan dan penyimpanan, efisiensi penataletakan arsip, efisiensi perpindahan arsip dan sebagainya. Untuk mengatasi permasalahan tersebut maka di rancanglah sistem pengelolaan arsip keluarga guna untuk mempermudah serta mempercepat pengelolaan arsip keluarga. Sistem dibuat berdasarkan pengalaman dalam kegiatan pengabdian yang dilaksanakan di PT. Guna Teknologi Nusantara dengan mengadaptasi beberapa tampilan dan konsep sistem. Fitur utama yang terdapat pada sistem pengelola arsip keluarga yaitu login, register dashboard, master arsip, kategori arsip, keamanan arsip, dan logout. Tahapan perancangan sistem dimulai dengan membuat use case serta relational database. Implementasi sistem menggunakan bahasa pemrograman PHP, HTML, Javascript, CSS serta database MySQL. Berdasarkan pengujian black box, sistem telah sesuai dengan kebutuhan dan berhasil diterima serta sudah dapat diimplementasikan dalam membantu mengelola arsip keluarga sekaligus sarana pelestarian arsip berupa bentuk digital.
Systematic Literature Review: Machine Learning Methods in Emotion Classification in Textual Data Wibawa, Putu Widyantara Artanta; Pramartha, Cokorda
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 3 (2023): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i3.1787

Abstract

Emotions are a person's response to an event. Emotions can be expressed verbally or nonverbally. Over time people can express their emotions through social media. Considering that emotion is a reflection of society's response, it is important to classify emotions in society to find out the community's response as information for consideration in decision-making. This study is aimed to identify and analyze the datasets, methods, and evaluation metrics that are being used in the classification of emotional texts in textual data from research data from 2013 to 2022. Based on the inclusion and exclusion design in selecting literature, a total of 50 kinds of literature were used in extracting and synthesizing data. Analysis of the data shows that out of 50 pieces of literature, there are 36 works of literature that use public datasets while 14 kinds of literature use private datasets. In the method of developing models for classifying, the SVM and Naive Bayes models are the most popular among the other models. In evaluating the model, the F-measure or F1-score metric is the most widely used metric compared to other metrics. There are three main contributions identified in this study, namely methods, models, and evaluation
Aplikasi Pengukur Tingkat Kepuasan Alumni Berdasarkan Data Tracer Study Berbasis Metode Machine Learning Supriana, I Wayan; Pramartha, Cokorda; Putri, Luh Arida Ayu Rahning
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 7 No. 1 (2024): Jurnal RESISTOR Edisi April 2024
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v7i1.1561

Abstract

Pelacakan lulusan atau yang lebih dikenal dengan tracer study adalah salah satu feedback dari alumni terhadap perguruan tinggi. Tracer study merupakan salah satu kegiatan wajib bagi perguruan tinggi dalam menggali berbagai macam aspek yang dibutuhkan dari alumni seperti data diri ketika menjadi mahasiswa, pelayanan selama kuliah, lamanya mencari kerja serta kesesuaian dengan pekerjaan. Setiap tahun ratusan mahasiswa sudah diluluskan oleh perguruan tinggi, dengan begitu jumlah alumni dari tahun ke tahun terus bertambah, perlu dilakukan analisis yang mendalam dengan teknik data science untuk mendapatkan insight data tracer study sebagai evaluasi oleh program studi. Analisis data tracer study diperlukan untuk perbaikan proses pembelajaran melalui pengukuran tingkat kepuasan lulusan. Adapun tujuan penelitian, yaitu membuat analisis model prediksi tingkat kepuasan alumni berdasarkan klasifikasi data tracer study menggunakan metode machine learning yaitu algoritma K-Means sebagai klusterisasi data, algoritma Support Vektor Machine sebagai klasifikasi data. Model penilaian menggunakan 87 fitur data tracer study, dimana algoritma Support Vektor Machine menggambarkan klasifikasi data tracer study dengan tingkat akurasi sebesar 90%. Berdasarkan faktor yang dapat mengklasifikasikan tingkat kepuasan alumni, maka dapat menentukan kualitas lulusan akan semakin baik.
Pengembangan Sistem Rekomendasi Melalui Pendekatan Web Semantik dan Simple Additive Weighting (SAW) Pramartha, Cokorda; Jayadi, I Putu Indie Surya; Atmaja, I Dewa Made Bayu
SINTECH (Science and Information Technology) Journal Vol. 5 No. 2 (2022): SINTECH Journal Edition Oktober 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v5i2.1216

Abstract

Indonesia is one of the countries that have the largest growth after China and India in the use of mobile phones. eMarkerter published that the number of mobile phone users in Indonesia increased by 37.1% from 2016 to 2019 and in 2019 it reached 92 million users. This study aims to develop a mobile phone recommendation system with a semantic web approach using the Simple Additive Weighting Method (SAW). The prototype system available online at http://mobile.oss.web.id that has 3 main features, namely searching, browsing, and recommendation features. The process of searching, browsing, and recommending the system using information that has been stored in Ontology. Meanwhile, the recommendation mechanism uses the SAW method as a method of calculating the weight of each cellphone and the weight of the criteria. Evaluation of functional requirements system using Black-Box testing approach, while evaluation of non-functional requirement systems using Technology Acceptance Model (TAM) approach by involving 32 respondents. The final result of the evaluation shows that the system functionality is running well as expected. Moreover, the evaluation of the non-functionality of the system showed that on average the respondents involved in the study agreed that the system developed was useful and easy to use
PENGEMBANGAN DESAIN DAN SISTEM INFORMASI PELAYANAN MASYARAKAT DI KELURAHAN SUMERTA Dewi, Ni Wayan Sani Utari; Pramartha, Cokorda Rai Adi; Kadyanan, I Gusti Agung Gede Arya
Jurnal Pengabdian Informatika Vol. 3 No. 3 (2025): JUPITA Volume 3 Nomor 3, Mei 2025
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Pelayanan masyarakat adalah bagian integral dari administrasi pemerintahan yang bertujuan untuk memberikan layanan yang efisien dan mudah diakses kepada warga. Dalam era digital, desain UI/UX yang baik dalam website pelayanan masyarakat memiliki peran yang sangat penting. Desain yang memungkinkan navigasi yang mudah, akses informasi yang cepat, dan interaksi yang intuitif dapat meningkatkan keterlibatan masyarakat, mengurangi hambatan akses, serta memberikan pengalaman positif kepada pengguna. Pentingnya desain yang tepat dalam website pelayanan masyarakat tidak hanya memengaruhi efisiensi administrasi pemerintah, tetapi juga memperkuat hubungan antara pemerintah dan masyarakat yang merupakan kunci untuk menciptakan pelayanan yang lebih baik.
PENERAPAN SISTEM PENUNJANG DATA SARANA PRASARANA SMP NEGERI SE-BADUNG MELALUI LINGKARAN SAMPURNA DI DISDIKPORA Wahyu Ananta, I Gede Ngurah; Supriana, I Wayan; Adi Pramartha, Cokorda Rai
Jurnal Pengabdian Informatika Vol. 3 No. 4 (2025): JUPITA Volume 3 Nomor 4, Agustus 2025
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Dinas Pendidikan, Kepemudaan, dan Olahraga (Disdikpora) Kabupaten Badung adalah peran penting dalam memberikan pelayanan publik di bidang pendidikan. Untuk memenuhi kebutuhan tersebut, mencakup ruang lingkup berkas pencatatan sarana prasarana. Tujuan dari standar pelayanan ini adalah untuk memenuhi kebutuhan masyarakat, meningkatkan mutu pendidikan, memudahkan akses, dan memberikan pelayanan efisien. Sebelumnya adanya Lingkaran Sampurna pemohon laporan tersebut harus datang secara langsung. Dalam memberikan informasi dari tiap sekolah SMP Negeri kepada dinas, Lingkaran Sampurna sudah memakai teknologi yang efisien untuk mengakses dokumen yang sudah diset share and collaborative. Melalui penerapan sistem ini dengan melihat sebaran TIK, dapat mempermudah dalam proses pengiriman lebih dari 1 berkas laporan dengan bisa muat 1 folder yang terintergrasi dengan 1 link ke kolom form yang disimpan melalui platform baik akun dinas maupun akun pribadi. Kemudian, manfaat lainnya membuat sistem yang melengkapi dan memodernisasi cara pengumpulan laporan dokumen mengenai sarana prasarana sekolah dalam pengiriman laporan secara real time khusus untuk keadaan darurat saja jika terjadinya problem trobleshoot didaerah server pusat. Kalau melalui aplikasi pesan instan akan dikhawatirkan informasi bisa tenggelam. Dengan demikian, penerapan teknologi meningkatkan efisiensi analisis data dan menyediakan format data yang lebih akurat, memastikan panduan yang diberikan oleh Kementerian yang efektif.
Immersive Digital Data Asset as a Digital Preservation Model for Tangible and Intangible Culture Towards the Indonesia Archipelago Metaverse Iswara, Ida Bagus Ary Indra; Sarasvananda, Ida Bagus Gede; Pramartha, Cokorda
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.980

Abstract

This research embarks on a critical mission to develop and comprehensively evaluate the Immersive Digital Data Asset (IDDA) model, positing it as an innovative and robust cloud-based framework. This framework is meticulously designed for the digital preservation of Indonesia's exceptionally rich and diverse tangible and intangible cultural heritage, a crucial endeavor situated within the rapidly emerging and transformative landscape of the Indonesia Archipelago Metaverse. The study directly confronts and seeks to mitigate significant, persistent challenges prevalent in current cultural digitalization efforts across the nation. These challenges notably include the pervasive limited access to advanced technological infrastructure in many remote and underserved areas, compounded by the inherently high development and ongoing maintenance costs associated with cutting-edge immersive technologies. To achieve its objectives, this research rigorously employs a Systematic Literature Review (SLR) methodology. This approach allows for a meticulous analysis of existing academic trends, a systematic identification of crucial gaps within the current literature pertaining to digital cultural preservation, and a synthesis of best practices. The compelling findings unequivocally demonstrate the profound and multifaceted potential of the IDDA model. It serves not only as a powerful tool for safeguarding invaluable cultural assets from degradation and loss but also as a catalyst for fostering dynamic interdisciplinary research collaborations, both domestically and internationally. Furthermore, the model is shown to significantly stimulate the creative economy across Indonesia by enabling new forms of cultural expression and monetization within the digital realm. Nevertheless, the successful, widespread, and sustainable long-term implementation of the IDDA model is critically contingent upon substantial and concerted improvements in technological accessibility nationwide, ensuring equitable participation. This also necessitates a sustained, strategic, and collaborative investment from various stakeholders in its continuous development, infrastructure enhancement, and content creation to fully realize its transformative potential for Indonesia's cultural future.
Systematic Literature Review: Machine Learning Methods in Emotion Classification in Textual Data Wibawa, Putu Widyantara Artanta; Pramartha, Cokorda
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 12 No. 3 (2023): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i3.1787

Abstract

Emotions are a person's response to an event. Emotions can be expressed verbally or nonverbally. Over time people can express their emotions through social media. Considering that emotion is a reflection of society's response, it is important to classify emotions in society to find out the community's response as information for consideration in decision-making. This study is aimed to identify and analyze the datasets, methods, and evaluation metrics that are being used in the classification of emotional texts in textual data from research data from 2013 to 2022. Based on the inclusion and exclusion design in selecting literature, a total of 50 kinds of literature were used in extracting and synthesizing data. Analysis of the data shows that out of 50 pieces of literature, there are 36 works of literature that use public datasets while 14 kinds of literature use private datasets. In the method of developing models for classifying, the SVM and Naive Bayes models are the most popular among the other models. In evaluating the model, the F-measure or F1-score metric is the most widely used metric compared to other metrics. There are three main contributions identified in this study, namely methods, models, and evaluation
Pengenalan Tulisan Tangan Aksara Bali Menggunakan Algoritma CRNN I Kadek Bisma Yoga; Cokorda Pramartha
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 4 (2025): JNATIA Vol. 3, No. 4, Agustus 2025
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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Abstract

This research proposes the development of a handwritten Balinese script recognition system using the Convolutional Recurrent Neural Network (CRNN) algorithm as a vital step in preserving this intangible cultural heritage from the threat of obsolescence in the digital era. Given the inherent complexity and variability of handwritten Balinese script, which distinguishes it from printed text, a deep learning approach is essential. CRNN was chosen for its ability to integrate the strengths of CNN in extracting spatial visual features with the power of RNN (specifically BiLSTM) in modeling sequential dependencies. Primary handwritten data was meticulously validated by a Balinese language expert, then processed through grayscale conversion, pixel normalization, and resizing for standardization. The model was constructed with convolutional layers, recurrent BiLSTM layers, and a Connectionist Temporal Classification (CTC) transcription layer, which is effective in translating sequential features into character labels. Performance evaluation of the model using the Character Error Rate (CER) on separate test data showed an average accuracy of 89.9%. These results significantly affirm the great potential of CRNN in supporting the digitalization efforts of Balinese script, as well as facilitating its broader integration into modern environments.
Analisis Visual Clutter Antarmuka Aplikasi Belanja Online Menggunakan Metode System Usability Scale Anak Agung Yoga Aditya Putra; Cokorda Pramartha
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 1 (2025): JNATIA Vol. 4, No. 1, November 2025
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2025.v04.i01.p14

Abstract

This study investigates the phenomenon of visual clutter in mobile online shopping applications, a growing concern given the rapid expansion of the e-commerce industry and increasing reliance on mobile devices for shopping activities. Visual clutter, characterized by an overly dense, unfocused, or excessive display, can disrupt user interaction, heighten cognitive load, and diminish the effectiveness of visual search. The research specifically analyzes the degree of visual clutter within a selected online shopping application interface, representing a mobile e-commerce platform. The System Usability Scale (SUS) method was employed to quantitatively assess user perceptions of the application's usability. The findings are expected to offer valuable insights for developing more structured and user-friendly online shopping application interfaces.
Co-Authors -, Viencent Adu, Enga Prinda Agus Muliantara Anak Agung Yoga Aditya Putra Ananda Puja Cahyani, Ni Luh Gede Andrayuga Mardhayiska, I Made Ari Mogi, I Komang Atmaja, I Dewa Made Bayu Citarsa, Ida Bagus Satrya Masyana Dewi, Ni Wayan Sani Utari Fahmi Ahmad Arum Pratama Ganeswara, Putu Ryan Genaldy Septianto Mbuik Gita, Ni Nyoman Sukma Prasetyadewi Hairul, Hairullah Hangralim, Ryan Harta, I Gede Bendesa Aria I Gede Aditya Mahardika Pratama I Gede Arta Wibawa I Gede Surya Rahayuda, I Gede Surya I Gusti Agung Gede Arya Kadyanan I Gusti Anom Cahyadi Putra I Gusti Ngurah Anom Cahyadi Putra I Kadek Agus Chandra Pradika I Kadek Ari Surya I Kadek Bisma Yoga I Ketut Gede Suhartana I Ketut Gede Udha Krisna Yasa I Made Agus Widiana Putra I Made Wardana I Made Widhi Wirawan I Wayan Supriana I Wayan Wijaya Kusuma Sandi I. W. Arka I. W. Supriana I.G.N.A.C. Putra Ida Bagus Ary Indra Iswara Ida Bagus Gede Dwidasmara Ida Bagus Gede Sarasvananda Ida Bagus Made Mahendra IGNAC Putra Indrayasa, I Wayan Gede IPGH Suputra Irianto Koten IW Arka Jayadi, I Putu Indie Surya Koten, Irianto Liko kresnawan, Lanang Ary Kusuma, I Made Cantiawan Giri Luh Arida Ayu Rahning Putri Mbuik, Genaldy Septianto Ngakan Nyoman Kutha Krisnawijaya Ngurah Agus Sanjaya ER Ni Made Yuli Cahyani Ni Putu Sri Harta Mimba Palguna, I Wayan Gede Adi Putra, Ida Ayu Gde Suwiprabayanti Putu Audi Pasuatmadi Putu Bayu Baskara Raharja, Made Agung Siddarta, Wahyu Surya, I Nyoman Dheva Suryana, Kadek Andre Sutanegara, Made Dimas Dwi Wahyu Ananta, I Gede Ngurah Wati, Ni Putu Sintia Wibawa, Putu Widyantara Artanta Widiatmika, I Putu Agus Wahyu Wijaya, Wahyu Septian Windayani, Ni Wayan Wiraputri, Ni Putu Sri Agnita Samyami