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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Inovasi Teknologi Pendidikan INFORMAL: Informatics Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial JUTIK : Jurnal Teknologi Informasi dan Komputer International Journal of Natural Science and Engineering Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JuSiTik : Jurnal Sistem dan Teknologi Informasi Komunikasi Jurnal Mantik Indonesian Journal of Data and Science Jurnal Scientia INSERT: Information System and Emerging Technology Journal JURNAL ILMIAH GLOBAL EDUCATION JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Sabangka Abdimas Jurnal Pengabdian Masyarakat Sabangka Journal of Social Work and Empowerment Galaksi Abdimas Paspama
Desak Made Dwi Utami Putra
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Design of Real-Time Project Monitoring Dashboard Using Kimball’s Data Warehouse Approach and Google Data Studio Savitri, Ni Kadek Wiliya; Sandhiyasa, I Made Subrata; Fittryani, Yuri Prima; Sudipa, I Gede Iwan; Putra, Desak Made Dwi Utami
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 3 (2025): Article Research July 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i3.14801

Abstract

The growth of the construction industry in Indonesia triggers an increasing need for an efficient project management system, especially in presenting project data accurately and in real-time. PT Dream Island Development (PT DID), a specialist MEP contractor company, faces challenges in presenting project reports to executives because the data is still presented in the form of Excel tabulations which require up to three days of processing time and are difficult to interpret quickly. This research aims to design an interactive dashboard-based project data visualization system using Google Data Studio (Looker Studio) to present project information intuitively and responsively. The method used includes a software engineering approach with five main stages: requirements analysis, data warehouse design, ETL process using Pentaho Data Integration, visualization using Google Data Studio, and testing using User Acceptance Test (UAT). Project data from 2022-2024 was modeled using a star schema and displayed in four main dashboards: project cost, project value, project progress, and details per project. The test results showed a high level of user satisfaction with a functionality score of 93.5%, reliability 91.33%, usability 96%, and efficiency 94.66%. These findings indicate that the developed system effectively supports PT DID's needs in project monitoring and data-based decision-making. The system also has the potential to be replicated in other construction companies as an efficient and scalable business intelligence solution. This research contributes to the growing body of construction informatics by integrating Kimball’s nine-step methodology with modern data visualization tools to enhance project transparency and decision-making.
Deep Learning for Automatic Assessment and Feedback in LMS-Based Education Kusuma, Aniek Suryanti; Ekayana, Anak Agung Gde; Dwi Utami Putra, Desak Made
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 3 (2025): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.109333

Abstract

Learning Management Systems (LMS) play a critical role in modern education by organizing content, facilitating communication, and supporting student assessment. However, most current LMS platforms depend on manual grading and generalized feedback, which can be inefficient and lack personalization. This research enhances LMS capabilities by integrating deep learning techniques—specifically Natural Language Processing (NLP)—to automate assessment and deliver personalized feedback. The system analyzes student input, such as written assignments and discussion forum posts, to evaluate performance and generate real-time, adaptive feedback. A modular framework was developed using a Bidirectional LSTM-based architecture trained on sequence data with regression objectives. The model was evaluated using the Mean Squared Error (MSE) metric. The results show that the model performs reasonably well, with predictions closely aligned to actual values in most cases, although its performance decreases slightly at the distribution extremes. Visualization via scatter plots further confirms the model's ability to capture context and structure in textual input. These findings demonstrate the model's feasibility in educational environments and its potential to reduce instructor workload while improving the quality of feedback. Future work will consider integrating attention mechanisms and multilingual capabilities for broader applicability.
PELATIHAN PEMANFAATAN GOOGLE FORM BAGI TENAGA PENDIDIK DI SMP NEGERI 2 BANGLI Dirgayusari, Ayu Manik; Kusuma, Aniek Suryanti; Putra, Desak Made Dwi Utami; Welda, Welda; Supartha, I Kadek Dwi Gandika
Jurnal Pengabdian Masyarakat Sabangka Vol 1 No 04 (2022): Jurnal Pengabdian Masyarakat Sabangka
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/sabangka.v1i04.262

Abstract

Sebagai salah satu SMP negeri di Kabupaten Bangli, SMPN 2 Bangli ingin menyiapkan tenaga pendidiknya agar siap untuk pembelajaran secara daring akibat pandemi saat ini. Tenaga pendidik di SMPN 2 Bangli tidak semuanya mampu menggunakan dan mengoperasikan Google Form karena faktor usia dan karena belum terbiasa. Selain itu Google Form merupakan salah satu aplikasi yang disarankan oleh dinas terkait untuk digunakan dalam proses belajar mengajar pada pembelajaran daring saat ini. Dengan Google Form diharapkan setiap guru dapat memberikan tugas, kuisioner, ulangan harian atau pun ujian secara daring. Melalui kegiatan pengabdian masyarakat STIKI Peduli ini, SMPN 2 Bangli bekerja sama dengan STMIK STIKOM INDONESIA (STIKI) untuk melakukan pelatihan pemanfaatan Google Form untuk para tenaga pendidik. Metode pengabdian yang dilakukan adalah pemberian pelatihan dengan menggunakan metode Presentasi, metode Praktek Langsung, Tanya Jawab (Diskusi), dan pemberian Pretest dan Posttest kepada peserta pelatihan sebelum dan sesudah pelatihan dilakukan. Pelatihan ini dilaksanakan di sekolah dengan penerapan protokol kesehatan yang ketat. Kegiatan ini dilakukan selama 2 hari agar jumlah peserta dalam ruangan tidak terlalu banyak. Harapannya semua tenaga pendidik di SMPN 2 Bangli dapat ikut berpartisipasi dan mendapatkan pemahaman tentang Google Form.
Community Service Assistance in the Use of the "BUMDES PECATU" Application to Customers in the Waste Management Unit in Pecatu Village Sandika, I Kadek Budi; Widiartha, Komang Kurniawan; Ariantini, Made Suci; Parwita, Wayan Gede Suka; Putra, Desak Made Dwi Utami; Wiguna, I Komang Arya Ganda; Sudipa, I Gede Iwan
Abdimas Paspama Vol. 2 No. 1 (2023): Abdimas Paspama, December 2023
Publisher : Abdimas Paspama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

BUMDes Catu Kwero Sedana Pecatu, Pecatu Village utilizes the " BUMDES PECATU" application as an innovative solution in increasing community involvement and optimizing waste management units. Through community service activities that focus on assisting the use of the application, with a door to door approach to customer addresses, the service team supported by the Pecatu village government provides counseling, education, and direct technical support to the community. The results show an increase in understanding and community participation in waste management through the use of the "BUMDES PECATU" application. Regular mentoring activities are expected to ensure the continuity and optimization of the BUMDES PECATU application in supporting operations in the waste management unit and active participation of the village community.
Sistem Informasi Geografis Tata Guna Lahan di Kabupaten Sleman Dwi Utami Putra, Desak Made; Sugiartawan, Putu
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 1 No 3 (2019): March
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.27 KB) | DOI: 10.33173/jsikti.32

Abstract

Geographical Information System (GIS) is a computer-based system that has the ability to store, manipulate, analyze and re-display natural conditions with the help of spatial data and non-passive data (attributes). GIS also supports decision making in planning and management, land use, natural resources, and others. Land use is very important as the development of land that has the potential for a type of plant to prevent damage to the plants and land used. Sleman Regency has a vast and fertile plantation area and has a wet tropical climate, which affects plant fertility. With the many things that affect the type of plant for a particular land, a system that can display spatial and nonspatial information is needed that relates to land use in Sleman Regency.
Rancang Bangun Sistem Informasi Pengolahan Nilai Rapor Berbasis Web Pada SMK Negeri 1 Kotaraja Dwi Utami Putra, Desak Made; Ariansidi, Mohamad
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 2 No 2 (2019): December
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.219 KB) | DOI: 10.33173/jsikti.58

Abstract

Assessment is the technique of evaluating students as the result of a learning achievement. Final assessment at SMK Negeri 1 Kotaraja is a report or student’s learning outcomes sheets. The process of calculating values at SMK Negeri 1 Kotaraja has been used still the conventional method process by using a list of score that given by teachers that have the possibility lost, tucked, and scattered. Even it will easily human error and quite complicated because there are many scores that have to calculated, such as daily test scores and assignment scores that have to be calculated each average score, steps used are very complicated so it takes about 7 days to process its, That is why the distribution of report cards to the students becomes delayed. Based on the problem above, it is aimed to create an information system of scoring processing report on web based that could helped teacher of SMK Negeri 1 Kotaraja in more effective and efficient processed. The results of blackbox testing that has been done stated that information system of scoring processing report that helped could teacher performance and help students esier in accessing online report.
Sales Forecasting Analysis Using Fuzzy Time Series and Simple Linear Regression Methods at Toko Ari Ni Luh Sri April Yanti; Ni Wayan Jeri Kusuma Dewi; I Gede Made Yudi Antara; Desak Made Dwi Utami Putra; Putu Wirayudi Aditama
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.368

Abstract

Introduction: Forecasting, often referred to as prediction, can actually help assess conditions or predict future sales. In the business world forecasting is crucial because it can help companies plan their future operations especially when faced with sudden increases and decreases in sales and stockpiles. Especially in retail forecasting is extremely helpful in purchasing merchandise, managing inventory in the warehouse, and reducing losses due to changing customer preferences. Ari's shop, located on Jalan Raya Samu, Singapadu Kaler, Gianyar, Bali, also experiences increases and decreases in monthly sales. Therefore, it is hoped that this sales forecasting can help maintain more stable and smooth operations. Methods: This study used two methods to forecast sales: Fuzzy Time Series (FTS) and Simple Linear Regression (SLR), to predict figures from Ari's shop's monthly sales data. Both methods use the same dataset, which is Ari's Store sales data for 13 months, from January 2024 to January 2025. The forecast results are then compared using the Mean Absolute Percentage Error (MAPE), which measures the model's accuracy in predicting results. Results: Based on the sales forecasts performed, both models produced fairly accurate predictions due to their low MAPE values, below 10%. Of the two methods, Simple Linear Regression provided more accurate results with a MAPE of 3.57%. Meanwhile, the Fuzzy Time Series method produced a MAPE of 5.53%. This difference in values indicates that the linear regression model is more appropriate for Ari's Store sales data, especially since the data pattern tends to follow a linear trend.
Interactive mobile learning to improve computational thinking and achievement in digital systems courses Anak Agung Gde Ekayana; Desak Made Dwi Utami Putra; I Gde Wawan Sudatha
Jurnal Inovasi Teknologi Pendidikan Vol. 12 No. 4 (2025): December (On Progress)
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v12i4.89321

Abstract

The digital era has fundamentally transformed classroom instructional approaches, shifting the focus from completing subject matter to meaningful student engagement and active knowledge construction. Grounded in constructivist learning theory and principles of computational thinking, this study aims to examine the effectiveness of interactive mobile learning as a technology-enhanced instructional innovation in digital systems education. The innovation integrates multimedia, interactivity, and problem-based activities to support students’ analytical and algorithmic reasoning. A quasi-experimental method was employed, involving 112 students enrolled in a digital systems course, with a nonequivalent control group pretest–posttest design. Data were analysed through multivariate analysis of covariance, independent T-tests, and N-gain analysis to evaluate learning effectiveness. The results revealed significant effects, both partial and simultaneous, with the experimental group consistently outperforming the control group. T-test findings indicated statistically significant differences between students using interactive mobile learning and those receiving conventional instruction. Furthermore, N-gain analysis showed improvements of 0.65 in computational thinking skills and 0.70 in learning achievement, categorised as medium to high gains. These findings confirm that interactive mobile learning effectively enhances learning outcomes. Therefore, it is recommended that educators integrate interactive mobile learning into digital systems instruction to foster students’ computational thinking and academic achievement.
Co-Authors Anak Agung Gde Ekayana Angelyn, Mariane Cetty Aniek Suryanti Kusuma Aniek Suryanti Kusuma Aniek Suryanti Kusuma, Aniek Suryanti Ariansidi, Mohamad Ayu Gede Willdahlia Ayu Gede Willdahlia Ayu Gede Willdahlia Ayu Manik Dirgayusari Dirgayusari, Ayu Manik Fihoirun Nisak Ulfiyatil Hasanah Gede Surya Mahendra I Gde Wawan Sudatha I Gede Iwan Sudipa I Gede Made Yudi Antara I Kadek Andy Asmarajaya I Kadek Budi Sandika I Kadek Dwi Gandika Supartha I Kadek Dwi Gandika Supartha I Komang Arya Ganda Wiguna I Putu Adi Pratama Ida Bagus Ary Indra Iswara Ika Amellia Rizanty Made Suci Ariantini Mulyadi, Ely Ni Kadek Nita Noviani Pande Ni Kadek Nita Noviani Pande Ni Kadek Nita Noviani Pande Ni Luh Ade Dinda Dharma Yanti Ni Luh Putu Mery Marlinda Ni Luh Sri April Yanti Ni Made Putri Widiantari Ni Made Suci Ariantini Ni Wayan Jeri Kusuma Dewi Ni Wayan Rika Andini Oky Sanjaya, Kadek Pande, Ni Kadek Nita Noviani Putra, Putu Satria Udyana PUTU SUGIARTAWAN Putu Wirayudi Aditama Sandhiyasa, I Made Subrata Sandika, I Kadek Budi Sang Ayu Putu Eva Indrayani Sastaparamitha, Ni Nyoman Ayu J. Savitri, Ni Kadek Wiliya Setio Budiono Subanar Subanar Wayan Gede Suka Parwita Welda Widiartha, Komang Kurniawan Wiguna, I Komang Arya Ganda Willdahlia, Ayu Gede Yuri Prima Fittryani, Yuri Prima