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Weft Computation of Endek Weaving Nyoman Dewi Pebryani; Putu Manik Prihatini; Tjok Istri Ratna C.S
International Journal of Applied Sciences and Smart Technologies Volume 04, Issue 01, June 2022
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v4i1.4666

Abstract

Endek is a textile produces in Bali with a single ikat technique, specifically weft ikat. Weft ikat means that the pattern is created or drawn on the weft threads before ikat or tying process. The weft threads are transferred into a frame; a frame consists of tens to hundreds of bundles or called traditionally as bulih. Drawing a pattern on a frame requires special expertise as the pattern maker has to translate a two-dimensional pattern into a shape that is distorted on the wide side. Indirectly, this special requirement confines the pattern maker as they have to visualize a distortion shape to be able to draw in the frame. To provide easiness in design exploration, providing various templates and multiplier to automatically distort the template are substantial. Therefore, understanding the manual process on site is important before simulating the formula of weft computation including are templates and multiplier. With this computation, the pattern makers or anyone who has an enthusiast in designing Endek patterns may involve in the design process.
Fuzzy Expert System for Tropical Infectious Disease by Certainty Factor I ketut Gede Darma Putra; Putu Manik Prihatini
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Communication between doctor and patient play an important role in determining the diagnosis of the illness suffered by the patient. Consultation time constraints led to insufficient information obtained to produce a diagnosis. This limitation is overcome by developing an expert system using fuzzy logic to represent the vagueness of symptoms experienced by patients and the certainty factor represents a relationship between the symptoms and disease. Fuzzy logic method begins with the acquisition of knowledge to produce the facts and rules, implication process, composition and defuzzification. The result of defuzzification used in the calculation of sequential and combined certainty factor which represent the belief percentage of diseases diagnosis that suffered by the patient. The results of the expert diagnosis with expert system for the given cases indicates the system, has the similarity diagnosis with the expert at 93.99%. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1223
Implementation of text to speech on web-based broadcasting radio service applications I Ketut Gede Sudiartha; Putu Manik Prihatini; I Made Purbhawa
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 1 (2022): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (293.222 KB) | DOI: 10.31940/matrix.v12i1.51-57

Abstract

Radio broadcasting is a source of information for the public. In delivering information, the broadcaster must read the text of the news before it is transmitted through a radio transmitter. Implementing a text-to-speech conversion can help solve this problem. The purpose of this study is to develop a Broadcasting Service Application by implementing text to speech on a Web-Based Radio Broadcasting service application that can convert data/information in text form into information in the form of voice. This paper does not discuss text-to-speech conversion techniques but emphasizes how to apply text-to-speech conversion techniques in web-based broadcasting service applications, especially news and music data management. This application utilizes web hosting services and Google voice services to convert text data into voice. The method used is Analyzing the application system of Broadcasting Radio services, Application of Text to speech (TTS), which functions to convert text into sound before being transmitted to broadcasting stations and to test the response of the conversion results and data management to the quality of the design. The process carried out in this system, namely retrieval of text data from the news database, converting text data into sound, adjusting the volume of music and sound information, and updating the status of the text data that has been broadcast. Based on application testing carried out with the Black Box Testing Method, all functional applications have been running well and are now successfully operationalized.    
Aplikasi Desain Motif Tenun Songket Bali Nyoman Dewi Pebryani; Tjok Istri Ratna, C.S.; Putu Manik Prihatini
Mudra Jurnal Seni Budaya Vol 37 No 3 (2022)
Publisher : Institut Seni Indonesia Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31091/mudra.v37i3.2025

Abstract

Songket weaving is an Indonesian cultural heritage that has been passed down from generation to generation. Every region in Indonesia has its own Songket weaving, depending on the region’s characteristics. Bali island is one well-known region in Indonesia for Songket weaving. In the past, Songket weaving in Bali was only made for caste members and the royal family. At that time, only people in the royal family were able to make Songket weaving. The songket weaving process in Bali was mainly performed using a weaving tool called cagcag. The songket weaving pattern (motif) was made using a sungkit technique—interlace between threads to create a motif. The making of the songket motif begins with arranging the thread according to the desired motif before the weaving process. Information about the motif was spread in Guun. In general, songket weaving in Bali island has tens to hundreds of Guun. The skills to break the desired motif into the Guun is quite a complicated process. Therefore, not many weavers master the process of making songket motifs. Most of the motif makers continue or imitate existing motifs. Currently, a motif maker who can make a motif from scratch is rare. In order to help break motifs into Guun, an in-depth understanding of the calculation of making songket motifs is required. Then, this understanding is transformed into an application that can help motif makers to visualize motifs into Guum. The design application will provide multiple benefits for the motif makers and serve as an effort of culture preservation by introducing a design application to make songket motifs for younger generations. Therefore, they are expected to contribute to making songket weaving motifs.
DECISION SUPPORT SYSTEM FOR SCHOLARSHIP IN BALI STATE POLYTECHNIC USING AHP AND TOPSIS Ni Gusti Ayu Putu Harry Saptarini; Putu Manik Prihatini
Prosiding International conference on Information Technology and Business (ICITB) 2015: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 1
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

One effort to help people in continuing their education is through a scholarship program. Currently there are many scholarship programs from the government and state-owned enterprises or private. With the help of these educational, students race to achieve in order to offset the cost of education which is currently quite expensive. The number of students applying for the scholarship would require a separate time to filter out students who meet the requirements and then rank students based on the criteria of the scholarship. The complexity of the problems occur because each criterion has its own priority. Screening and grading manually would require considerable time and susceptible to human error. This research, developed automatic screening and decision support system to rank students according to given criteria. The method used is analytical hierarchycal process (AHP) to give weight to each criterion based on its priority, and the technique for order of preference by similarity to ideal solution (TOPSIS) to rank students based on its values of each criterion. By construct this decision support system, then selecting scholarship recipients can be faster and valid. The system that was built provide recommendations by rank students based on the final calculation.KEY WORDS: Decision Support System, AHP, TOPSIS, Scholarship.
Implementation of text to speech on web-based broadcasting radio service applications Sudiartha, I Ketut Gede; Prihatini, Putu Manik; Purbhawa, I Made
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 1 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v12i1.51-57

Abstract

Radio broadcasting is a source of information for the public. In delivering information, the broadcaster must read the text of the news before it is transmitted through a radio transmitter. Implementing a text-to-speech conversion can help solve this problem. The purpose of this study is to develop a Broadcasting Service Application by implementing text to speech on a Web-Based Radio Broadcasting service application that can convert data/information in text form into information in the form of voice. This paper does not discuss text-to-speech conversion techniques but emphasizes how to apply text-to-speech conversion techniques in web-based broadcasting service applications, especially news and music data management. This application utilizes web hosting services and Google voice services to convert text data into voice. The method used is Analyzing the application system of Broadcasting Radio services, Application of Text to speech (TTS), which functions to convert text into sound before being transmitted to broadcasting stations and to test the response of the conversion results and data management to the quality of the design. The process carried out in this system, namely retrieval of text data from the news database, converting text data into sound, adjusting the volume of music and sound information, and updating the status of the text data that has been broadcast. Based on application testing carried out with the Black Box Testing Method, all functional applications have been running well and are now successfully operationalized.    
Evaluasi Kinerja Deteksi Penyakit Buah Cabai Rawit Berbasis Citra Ni Wayan Widyasari Damayanti; Putu Manik Prihatini; I Putu Oka Wisnawa
Jurnal Informatika Polinema Vol. 12 No. 3 (2026): Vol. 12 No. 3 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i3.9826

Abstract

Penyakit pada buah cabai rawit sering sulit diidentifikasi secara manual dikarenakan kemiripan gejala visual antar penyakit dan keterbatasan informasi mengenai lokasi gejala pada buah. Riset ini mempunyai tujuan guna melakukan pengembangan sistem deteksi penyakit buah cabai rawit berbasis citra digital memakai metode Single Shot Detector (SSD). Metode ini digunakan karena dapat melakukan klasifikasi objek sekaligus menentukan lokasi gejala dalam satu proses. Dataset yang dipakai mencakup atas 1.200 citra yang digolongkan atas tiga kategori, yakni buah sehat, antraknosa, dan serangan lalat buah, yang diperoleh langsung dari kondisi lapangan. Proses pengembangan meliputi pengumpulan data, anotasi, pembagian dataset, pelatihan model, serta evaluasi memakai metrik precision, recall, F1-Score, serta mean Average Precision (mAP). Hasil pengujian menunjukkan bahwa model terbaik diperoleh pada konfigurasi optimizer AdamW dengan skema learning rate dinamis, dengan nilai mAP sebesar 83,78%. Sistem yang dikembangkan mampu menampilkan hasil deteksi berupa kategori penyakit, confidence score, serta bounding box yang menunjukkan lokasi gejala pada buah. Implementasi dalam aplikasi berbasis web menunjukkan bahwa sistem dapat digunakan untuk proses identifikasi secara praktis. Penelitian ini memberikan kontribusi dalam pemanfaatan metode deteksi objek untuk identifikasi penyakit tanaman berbasis citra lapangan. Pengembangan berikutnya mampu difokuskan terhadap penambahan dataset serta peningkatan kekuatan model guna memberi pembedaan objek dengan karakteristik visual yang serupa.
Analisis Performa DETR untuk Deteksi Penyakit pada Buah Kakao Menggunakan Dataset Lokal Ni Luh Putu Listya Dewi; Putu Manik Prihatini; I Putu Oka Wisnawa
Jurnal Informatika Polinema Vol. 12 No. 3 (2026): Vol. 12 No. 3 (2026)
Publisher : UPT P2M State Polytechnic of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jip.v12i3.9862

Abstract

Kakao merupakan komoditas perkebunan bernilai ekonomi tinggi, namun ancaman infeksi penyakit pada tanaman seringkali memicu penurunan drastis terhadap kualitas maupun kuantitas hasil panen buah kakao. Selama ini, upaya identifikasi dini cenderung mengandalkan observasi visual secara manual yang tidak hanya memakan banyak waktu, melainkan juga sangat rentan terhadap bias subjektivitas pengamat. Untuk mengatasi permasalahan tersebut, studi ini mengusulkan inovasi otomatisasi deteksi penyakit pada buah kakao dengan memanfaatkan teknologi computer vision, secara khusus mengimplementasikan algoritma Detection Transformer (DETR) berbasis pengolahan citra RGB. Metode penelitian yang dilakukan meliputi pengumpulan dataset citra kakao, preprocessing, anotasi bounding box pada citra, pelatihan model, dan pengujian model. Model DETR dilatih selama 300 epoch dengan menggunakan 720 citra yang dibagi ke dalam data train, validation, dan test dengan perbandingan sebesar 70:15:15. Selanjutnya dilakukan pengukuran kinerja dengan menggunakan metrik mean Average Precision (mAP). Hasil eksperimen menunjukkan performa yang sangat kompetitif, dengan model berhasil memperoleh nilai mean Average Precision (mAP) sebesar 0.86. Kesimpulan dari penelitian ini membuktikan bahwa arsitektur berbasis transformer mampu memberikan keunggulan dalam ekstraksi fitur penyakit kakao dengan tingkat konvergensi yang stabil meskipun dalam keterbatasan parameter pelatihan. Efektivitas yang dihasilkan memberikan kontribusi signifikan bagi pengembangan sistem monitoring pertanian cerdas yang handal dan ekonomis untuk diimplementasikan dalam skala perkebunan secara nyata.