Articles
<![CDATA[Public Speaking Sharing Session Speak With Power and Confidence untuk Guru Indonesia ]]>
<![CDATA[Ni Wayan Wardani]]>;
<![CDATA[I Dewa Made Krishna Muku]]>;
<![CDATA[Ayu Gede Willdahlia]]>;
<![CDATA[I Nyoman Agus Suarya Putra]]>;
<![CDATA[Aniek Suryanti Kusuma]]>;
<![CDATA[Putu Sugiartawan]]>;
<![CDATA[Indra Pratistha]]>;
<![CDATA[I Gede Andika]]>;
<![CDATA[I Wayan Sudiarsa]]>;
<![CDATA[Ayu Manik Dirgayusari]]>
<![CDATA[ JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol 3 No 1 (2022) ]]>
Publisher : <![CDATA[Politeknik Piksi Ganesha Indonesia ]]>
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DOI: 10.37339/jurpikat.v3i1.748
<![CDATA[Masa pandemi COVID-19 menuntut tenaga pendidik untuk menjadi komunikator yang baik. Dalam masa pandemi, berbagai kegiatan pelatihan Public Speaking telah diadakan. Menjadi komunikator yang kuat telah menjadi ketrampilan hidup yang penting di era sekarang ini. Kampus STMIK STIKOM Indonesia mengadakan pelatihan Public Speaking bertema Speak With Power and Confidence dengan mendatangkan narasumber yang relevan, I Made Kertayasa. Kegiatan dilakukan secara bertahap yang terdiri dari perencanaan, pelaksanaan, dan evaluasi. Pelatihan dibuka untuk masyarakat umum, khususnya guru dan tenaga pendidik di Indonesia. Kegiatan dilaksanakan secara daring melalui platform Zoom Meeting. Berdasarkan penilaian oleh peserta, kegiatan mendapatkan respon yang positif.]]>
<![CDATA[Controlling and Monitoring of Temperature and Humidity of Oyster Mushrooms in Tropical Climates ]]>
<![CDATA[I Gusti Made Ngurah Desnanjaya]]>;
<![CDATA[Putu Sugiartawan]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 12, No 1 (2022): April ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.73346
<![CDATA[Controlling the temperature and humidity of oyster mushroom cultivation is done manually by spraying air on the mushroom container so it takes a lot of time and effort. This is done to meet the requirements for growing oyster mushrooms which are strongly influenced by temperature and humidity conditions so that they can grow well. In this study, a device for controlling and monitoring the temperature and humidity of oyster mushroom cultivation was made automatically based on Arduino UNO. This tool can regulate and monitor the temperature and humidity in oyster mushroom cultivation automatically so that the temperature and humidity can be maintained without having to spend a lot of time and effort. The components used in building the automatic temperature and humidity controller for mushroom cultivation based on the Arduino UNO are the dht11 sensors, Arduino UNO, L298N driver, relay, and 16x2 I2C LCD. From the results of the tests that have been carried out, it can be concluded that the temperature and humidity control and monitoring device for automatic oyster mushroom cultivation based on Arduino UNO has been able to work well in regulating and monitoring temperature and humidity as expected.]]>
<![CDATA[Group Decision Support System Fuzzy Profile Matching Method With Organizational Citizenship Behaviour ]]>
<![CDATA[Putu Sugiartawan]]>;
<![CDATA[I Made Yudiana]]>;
<![CDATA[Paholo Iman Prakoso]]>
<![CDATA[ IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 15, No 4 (2021): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijccs.70047
<![CDATA[The most important thing that can be done by the company, namely the employee selection process, in order to guarantee the right candidate in the right position as well with value-form Organizational Citizenship Behavior. In this study. The methods that can be applied in the career path process in an organization. By implementing a group decision support system, where the opinions of several decision-makers can be accommodated, as well as in problem-solving and communication occurs in a group. This study uses the profile matching method because it can provide an assessment of the potential of each employee candidate by comparing the employee's personal profile with the profile of the position in question, combined with fuzzy logic so that the original value obtained by the alternative remains consistent from the beginning to the ranking process. The results obtained in the form of ranking reports using the Borda method, based on calculations from the fuzzy profile matching method, are expected to help company organizations to facilitate the promotion process.]]>
<![CDATA[Modification Weight Criteria With Webbed Model For Selection Artist Music Festival Using Analytical Hierarchy Process (AHP) ]]>
<![CDATA[I Gede Iwan Sudipa]]>;
<![CDATA[Putu Sugiartawan]]>;
<![CDATA[I Komang Arya Ganda Wiguna]]>
<![CDATA[ IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 16, No 1 (2022): January ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijccs.72434
<![CDATA[The process of selecting from many alternatives to the criteria is a decision that is often determined in decision making. The criteria for which criteria can consist of many attributes are used by decision-makers in making the selection or are called multi-criteria decision making (MADM ). Determining the Artist Music Festival at an event has quite a complicated difficulty, because the assessment of the criteria is heterogeneous. The spider web's approach to integrating criteria results in the selection of the artist form that attracts the most attention, and public interest. Model AHP use of multi-attributes is used in selecting artists to perform at music festivals, selecting artists using criteria, namely Number of Followers (C1), stamp C2, Average Popular Tracks (C3), Average Youtube Viewers (C4), and the price of the artist (C5). Data on the number of followers, popularity, average popular tracks, and average YouTube viewers were obtained using the Spotify and Youtube APIs. The settlement method applied is the Analytical Hierarchy Process (AHP) and the Rating Scale algorithm, with an alternative using five samples of Indonesian artists. The research results are expected to provide recommendations for artists as performers in the music festival.]]>
<![CDATA[Analisis Portofolio Saham Perusahaan Agribisnis di Bursa Efek Indonesia ]]>
<![CDATA[PUTU SUGIARTAWAN]]>;
<![CDATA[I W. RAMANTHA]]>;
<![CDATA[K. BUDI SUSRUSA]]>
<![CDATA[ JURNAL MANAJEMEN AGRIBISNIS Vol. 1, No. 1, Mei 2013 ]]>
Publisher : <![CDATA[Universitas Udayana ]]>
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<![CDATA[Stock portfolio analysis is the analysis conducted by diversifying or selective combining shares in investment, with a portfolio of risks to be minimized. every sector of Indonesia Stock Exchange which includes shares of agribusiness companies, have an equal risk investments. The purpose of this study is to find out the formation of optimal portfolios using the Capital Asset Pricing Model (CAPM) model approach and Arbitrage Pricing Model (APT). With both models, an investor will be able to find out the composition of stocks, especially shares of companies engaged in agribusiness, as well as directly to find out the proportion of each stock and its risks and benefits arising from the formation of the portfolio. The results showed that by using the CAPM and APT models in the calculation of the formation of optimal portfolios in stocks excange Agribusiness, produces a portfolio with stocks composision 3 froms, namely AALI, TBLA and UNSP. APT model approach shows a greater value than the CAPM models, the highest return value can be generated is 14.088% while that may happen is losses -0268% while the CAPM models yield the highest return rate of 5.74% and the losses will be experienced by -14.54 %. significant difference in outcome is caused from the different assumptions of the models above. From these results should be expected investors to take investment decisions of agribusiness firms stocks in the Indonesia Stock Exchange with respect to the results obtained from the approach to the CAPM and APT models, in addition to the results obtained from both models are also investors give the attention of fundamental and technical factors companies that investors are not wrong and more confident in make investment decisions.]]>
<![CDATA[IMPLEMENTASI METODE CERTAINTY FACTOR DALAM SISTEM PAKAR UNTUK MENGIDENTIFIKASI PENYAKIT TANAMAN LADA ]]>
<![CDATA[Muslimin B]]>;
<![CDATA[Putu Sugiartawan]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol. 4 No. 2 (2021): SINTECH Journal Edition Oktober 2021 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v4i2.865
<![CDATA[Pepper is an agricultural commodity that has a high selling value and is resistant to disease. Identifying the disease in pepper requires knowledge from agricultural experts to evaluate the symptoms of the disease being experienced. Involving an agricultural expert certainly has drawbacks in terms of slow handling, less effective management of large amounts of data. So we need a system that can accommodate these problems. Expert system is one of the sub-branches of science in the field of artificial intelligence, where expert knowledge is expressed in a model with an intelligent-based system. The expert system serves as an interactive consultant media in diagnosing pepper plant diseases based on symptoms. In producing the right decision, a process model is needed in the form of tracing rules and knowledge preference values based on input values in the form of probabilistic data / uncertainty for each symptom. Certainty factor modeling method has the ability to evaluate the preference value of expert knowledge. Based on the model and the weight value of each measure and level of symptoms, it can produce a high level of accuracy decision analysis. Expert systems have advantages that can accommodate expert knowledge in diagnosing pepper plant diseases in time series. This research can help farmers, researchers, experts or agencies in the field of agriculture to identify common diseases of pepper, so that it can provide basic knowledge about various types of diseases and treatment solutions to support the growth of pepper plants.]]>
<![CDATA[GDSS Development of Bali Tourism Destinations With AHP and Borda Algorithms Based on Tri Hita Karana ]]>
<![CDATA[Putu Sugiartawan]]>;
<![CDATA[I Gede Iwan Sudipa]]>;
<![CDATA[I Komang Arya Ganda Wiguna]]>
<![CDATA[ IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 16, No 3 (2022): July ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijccs.76605
<![CDATA[Development of Bali tourist destinations using the concept of local wisdom Tri Hita Karana (THK). THK is a concept that contains the philosophy of community life in Bali which means three causes of welfare. This concept is needed to realize tourism, culture and nature. In determining a decision to develop an object in a tourist destination using the THK concept, knowledge from several stakeholders is needed. To combine decisions from several stakeholders is needed. GDSS is a computer-based system that can support the Bali Provincial Government Tourism Office and several components involved in THK to take a decision in developing an object in a tourist destination. To determine the decision of each individual used the AHP model. The AHP model is a model that can solve complex multi-criteria problems into a hierarchy. This AHP model will produce alternative individual decisions from the results of parameter weight processing for each individual. Based on the final result of the GDSS, the development of Bali tourism destinations based on THK is in the form of ranking of the six parameters used (Promotion of tourist destinations, Improvement of facilities, Human Resources, Synergy, Environmental preservation, Setting of holy places). The alternative that has the highest value is used as a reference in developing a THK-based tourist destination,]]>
<![CDATA[Identifikasi Pengenalan Pola Daun Kelor Kering Dengan You Only Look Once V8 ]]>
<![CDATA[Jumariana, I Putu Candra]]>;
<![CDATA[Sugiartawan, Putu]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 14, No 1 (2024): April ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.94871
<![CDATA[Optimal drying of Moringa oleifera leaves plays an important role in maintaining nutritional quality and meeting desired pattern recognition standards. This research proposes the use of You Only Look Once (YOLO) V8, an object identification method in computer vision, to identify the drying level of Moringa leaves in real-time. The integration of a camera in the drying machine allows visual monitoring of changes in moringa leaves during the drying process. YOLOv8 was implemented to recognize and track changes in moringa leaf dryness levels, enabling timely analysis. The identification results are then classified into dry "YES" or "NO" conditions according to quality standards. This research aims to increase production efficiency, real-time quality monitoring, and ensure Moringa leaf products meet established quality standards. By using the YOLOv8 method, it is hoped that this research will provide an innovative and effective solution in overcoming the challenge of optimally drying Moringa leaves.]]>
<![CDATA[Sistem Informasi Monitoring Kumbung Jamur Tiram Berbasis Internet of Things ]]>
<![CDATA[Ntihung, Maria Ephifania Ntihung]]>;
<![CDATA[Sugiartawan, Putu]]>;
<![CDATA[willdalia, ayu]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 14, No 1 (2024): April ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.95513
<![CDATA[Sistem Informasi Monitoring Kumbung Jamur Tiram Berbasis Internet of Things (IoT) adalah sebuah solusi inovatif untuk memantau dan mengelola pertumbuhan jamur tiram secara efisien. Dalam konteks ini, IoT digunakan untuk menghubungkan sensor-sensor yang terpasang di dalam kumbung jamur tiram ke platform digital. Sensor-sensor tersebut mengumpulkan data tentang kondisi lingkungan seperti suhu, kelembaban, dan tingkat CO2 di sekitar kumbung. Data yang terkumpul ini dikirim secara real-time melalui jaringan internet ke platform yang dapat diakses oleh pengguna melalui perangkat seluler atau komputer. Melalui sistem ini, petani jamur tiram dapat memantau kondisi kumbung secara akurat tanpa harus secara fisik berada di lokasi. Mereka dapat menerima pemberitahuan jika ada perubahan signifikan dalam kondisi lingkungan yang dapat mempengaruhi pertumbuhan jamur tiram. Selain itu, data historis yang terkumpul juga dapat digunakan untuk menganalisis pola pertumbuhan jamur tiram dan mengidentifikasi faktor-faktor yang memengaruhi produksi. Dengan adopsi sistem ini, diharapkan dapat meningkatkan efisiensi dalam pengelolaan kumbung jamur tiram, mengoptimalkan proses pertumbuhan, dan meningkatkan hasil panen. Selain itu, sistem ini juga dapat membantu dalam meminimalkan risiko kerugian akibat kondisi lingkungan yang tidak ideal. Dengan demikian, Sistem Informasi Monitoring Kumbung Jamur Tiram Berbasis IoT memiliki potensi besar untuk meningkatkan produktivitas dan keberlanjutan industri jamur tiram]]>
<![CDATA[Object Detection Based on You Look Only Once Version 8 for Real-Time Applications ]]>
<![CDATA[Santiago, Gede Agus]]>;
<![CDATA[Sugiartawan, Putu]]>;
<![CDATA[Ardriani, Ni Nengah Dita]]>
<![CDATA[ IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 3 (2024): July ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijccs.94843
<![CDATA[This research focus to involves human detection in crowded situations, especially in the lecturer's room. The lecturer's room is very vulnerable because it can be accessed by anyone with only one entry and exit to the lecturer's room, so it would be perfect to place this Yolo camera in front of the lecturer's room so that incoming and outgoing activities can be monitored during work days on campus. The main challenge is how the system can distinguish individuals in dense crowds and identify their relative locations to each other. In this context, it is necessary to find a solution that can overcome the uncertainty of recognizing individuals in a group and accurately understand the location and distance between them. One proposed solution is to use the YOLO algorithm on video recordings to detect human objects in the lecturer's room during working hours. This research introduces the YOLOv8 model, a real-time detection system with high speed and accuracy in detecting and classifying objects in video recordings. YOLOv8 can accurately detect object movement, making it an efficient real-time framework for dealing with complex objects. This research experiment involved using eight different smartphone devices to collect datasets. Using various smartphone devices aims to test object detection performance under various shooting conditions, including variations in image quality, lighting, shooting angle, and camera resolution. The research results show that using multiple smartphone devices in dataset collection can improve the robustness and accuracy of object detection models. By integrating datasets from various sources and shooting conditions, the YOLOv8 model was successfully trained to better recognize objects in different situations, even in campus environments that often have challenges such as weather variations and lighting fluctuations. The test results show an accuracy rate of 93.33% in human object detection]]>
