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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Sains dan Teknologi Jurnal Sistem dan Informatika Jurnas Nasional Teknologi dan Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Artificial Intelligence and Data Mining SINTECH (Science and Information Technology) Journal International Journal of Natural Science and Engineering Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) JURNAL ILMU KOMPUTER INDONESIA JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Pendidikan Teknik Mesin Undiksha Brilliance: Research of Artificial Intelligence Paradigma Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Artificial Intelligence and Digital Business Journal Of Artificial Intelligence And Software Engineering
Kadek Yota Ernanda Aryanto
Universitas Pendidikan Ganesha
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Other

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Journal : International Journal of Natural Science and Engineering

 1 
ANALISIS KEBERMANFAATAN WEBSITE SEKOLAH TINGGI PARIWISATA (STIPAR) TRIATMA JAYA MENGGUNAKAN METODE USABILITY TESTING Indriyani, Ni Luh Putu Ratih; Dantes, Gede Rasben; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol 1, No 2 (2017)
Publisher : International Journal of Natural Science and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (334.298 KB)

Abstract

This research is aimed to determine the results of the usability analysis from the website Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya viewed from the user side as well as knowing the recommendation of website improvement of Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya from usability aspect. The methods used are Usability Testing of Performance Measurement and Retrospective Think Aloud (RTA) techniques and the dissemination of SUS questionnaires.  The results showed that the Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya still not effective, it is seen from the error or mistake made by users of lecturers and students while doing the task. Statistically website Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya has been efficient for lecture but not efficient for college students users. For lecturers there are 6 out of 10 tasks that do not have significant time difference, while for  college students there are 4 out of 10 tasks that do not have significant time difference. From the aspect of user satisfaction, both lecturers and college students feel still less satisfied using the website of Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya, this can be seen from the SUS questionnaire scores of lecturers of 63.28 and college students users of 58.44. Based on the analysis result, it can be concluded that the Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya has not fulfilled the criteria of products that have good usability, because the three aspects (effectiveness, efficiency and user satisfaction) have not been met. Based on the above, the recommendation of Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya website is focused on adjustment of display, language and term change, feature addition, menu name adjustment, menu structure and menu layout, content addition and menu simplification. Repairs done by making wireframe recommendation page Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya.
IMPLEMENTASI METODE C4.5 DAN NAIVE BAYES BERBASIS ADABOOST UNTUK MEMPREDIKSI KELAYAKAN PEMBERIAN KREDIT Nugraha, Putu Gede Surya Cipta; Dantes, Gede Rasben; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol 1, No 2 (2017)
Publisher : International Journal of Natural Science and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (355.441 KB)

Abstract

At PT. BPR XYZ credit problems is a very vital issue, where if many debtors are delinquent in payment it will increase the NPL value of the bank itself. Increasing the NPL value above 5% indicates that the bank is not healthy. From the above problems, then in this study aims to perform the implementation process of data mining methods to determine the accuracy level of prediction of creditworthiness at PT. BPR XYZ, so that the future of credit problems can be overcome. Data mining methods used in the prediction process are C4.5 and Naïve Bayes methods, where both methods are implemented and the accuracy level comparison process is used to see which method is more accurate in predicting creditworthiness. Both methods are also embedded AdaBoost method with the aim of increasing the accuracy in the process of prediction of creditworthiness feasibility. The result obtained from the comparison of method accuracy level, stated that the better accuracy is C4.5 method that is 90.00% with the precision level of 86.67%. As for the accuracy of Naïve Bayes method that is equal to 70.00% with the precision level of 79.71%. Then with the addition of AdaBoost method in predicting creditworthiness proved to increase the higher accuracy value of 91.54% in method C4.5 and by 78.13% in Naïve Bayes method. From the description above, with the implementation of AdaBoost method on the method of C4.5 and Naïve Bayes can improve the accuracy of the prediction of creditworthiness of PT. BPR XYZ. In addition, the implementation of the AdaBoost-based C4.5 method can be a recommendation for PT. BPR XYZ in conducting predictive process of credit worthiness in the future.
PEMETAAN AKTIFITAS KONSUMEN TOKO MENGGUNAKAN METODE BACKGROUND SUBTRACTION Listartha, I Made Edy; Indrawan, Gede; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol 1, No 2 (2017)
Publisher : International Journal of Natural Science and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.695 KB)

Abstract

This study aims to heat mapping the consumer’s movement using background subtraction techniques. The mapping is built using the coordinate information obtained from the consumer location that detected from the video where the separation of the consumer object and the background is done by background subtraction technique. Tests were performed on eleven video of consumer data activity that have different activity characteristics that were created using Microsoft PowerPoint application. Simulated activities include walking straight, staying, walking back to the path that had been passed, pacing, disturbance from another object, the influence of color, the consumer walks meet and coincide with other consumers. From the test of video discovery is obtained accuracy of 96.07% for the detection process of consumer movement, where the lack of detection process occurs due to the absence of techniques used to perform the introduction of characteristics of consumer objects. The mapping process is very much in line with the number of coordinates generated in the motion detection process, but the inaccurate detection of movement in the entrance and exit areas makes the coordinates high. By filtering with Region of Interes (ROI) in the survey area, creating disturbances in the area of doors and areas with objects that produce movements other than consumers can be eliminated.
PENDETEKSIAN OBJEK ROKOK PADA VIDEO BERBASIS PENGOLAHAN CITRA DENGAN MENGGUNAKAN METODE HAAR CASCADE CLASSIFIER Sanjaya, Kadek Oki; Indrawan, Gede; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol 1, No 3 (2017)
Publisher : International Journal of Natural Science and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.964 KB)

Abstract

Object detection is a topic widely studied by the scientists as a special study in image processing. Although applications of this topic have been implemented, but basically this technology is not yet mature, futher research is needed to developed to obtain the desired result. The aim of the present study is to detect cigarette objects on video by using the Viola Jones method (Haar Cascade Classifier). This method known to have speed and high accuracy because of combining some concept (Haar features, integral image, Adaboost, and Cascade Classifier) to be a main method to detect objects. In this research, detection testing of cigarettes object is in samples of video with the resolution 160x120 pixels, 320x240 pixels, 640x480 pixels under condition of on 1 cigarette object and condition 2 cigarettes object. The result of this research indicated that percentage of average accuracy highest 93.3% at condition 1 cigarette object and 86,7% in the condition 2 cigarette object that was detected on the video with resolution 640x480 pixels, while the percentage of accuracy lowest 90% at condition 1cigarette object, and 81,7% at the condition 2 cigarette objects, detected on the video with the lowest resolution 160x120 pixels. The percentage of average errors at detection cigarettes object was inversely with percentage of accuracy. So that the detection system is able to better recognize the object of the cigarette, then the number of samples in the database needs to be improved and able to represent various types of cigarettes under various conditions and can be added new parameters related to cigarette object
PEMETAAN AKTIFITAS KONSUMEN TOKO MENGGUNAKAN METODE BACKGROUND SUBTRACTION Listartha, I Made Edy; Indrawan, Gede; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol. 1 No. 2 (2017): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.695 KB) | DOI: 10.23887/ijnse.v1i2.12468

Abstract

This study aims to heat mapping the consumer’s movement using background subtraction techniques. The mapping is built using the coordinate information obtained from the consumer location that detected from the video where the separation of the consumer object and the background is done by background subtraction technique. Tests were performed on eleven video of consumer data activity that have different activity characteristics that were created using Microsoft PowerPoint application. Simulated activities include walking straight, staying, walking back to the path that had been passed, pacing, disturbance from another object, the influence of color, the consumer walks meet and coincide with other consumers. From the test of video discovery is obtained accuracy of 96.07% for the detection process of consumer movement, where the lack of detection process occurs due to the absence of techniques used to perform the introduction of characteristics of consumer objects. The mapping process is very much in line with the number of coordinates generated in the motion detection process, but the inaccurate detection of movement in the entrance and exit areas makes the coordinates high. By filtering with Region of Interes (ROI) in the survey area, creating disturbances in the area of doors and areas with objects that produce movements other than consumers can be eliminated.
ANALISIS KEBERMANFAATAN WEBSITE SEKOLAH TINGGI PARIWISATA (STIPAR) TRIATMA JAYA MENGGUNAKAN METODE USABILITY TESTING Indriyani, Ni Luh Putu Ratih; Dantes, Gede Rasben; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol. 1 No. 2 (2017): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (334.298 KB) | DOI: 10.23887/ijnse.v1i2.12469

Abstract

This research is aimed to determine the results of the usability analysis from the website Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya viewed from the user side as well as knowing the recommendation of website improvement of Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya from usability aspect. The methods used are Usability Testing of Performance Measurement and Retrospective Think Aloud (RTA) techniques and the dissemination of SUS questionnaires.  The results showed that the Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya still not effective, it is seen from the error or mistake made by users of lecturers and students while doing the task. Statistically website Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya has been efficient for lecture but not efficient for college students users. For lecturers there are 6 out of 10 tasks that do not have significant time difference, while for  college students there are 4 out of 10 tasks that do not have significant time difference. From the aspect of user satisfaction, both lecturers and college students feel still less satisfied using the website of Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya, this can be seen from the SUS questionnaire scores of lecturers of 63.28 and college students users of 58.44. Based on the analysis result, it can be concluded that the Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya has not fulfilled the criteria of products that have good usability, because the three aspects (effectiveness, efficiency and user satisfaction) have not been met. Based on the above, the recommendation of Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya website is focused on adjustment of display, language and term change, feature addition, menu name adjustment, menu structure and menu layout, content addition and menu simplification. Repairs done by making wireframe recommendation page Sekolah Tinggi Pariwisata (STIPAR) Triatma Jaya.
IMPLEMENTASI METODE C4.5 DAN NAIVE BAYES BERBASIS ADABOOST UNTUK MEMPREDIKSI KELAYAKAN PEMBERIAN KREDIT Nugraha, Putu Gede Surya Cipta; Dantes, Gede Rasben; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol. 1 No. 2 (2017): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (355.441 KB) | DOI: 10.23887/ijnse.v1i2.12470

Abstract

At PT. BPR XYZ credit problems is a very vital issue, where if many debtors are delinquent in payment it will increase the NPL value of the bank itself. Increasing the NPL value above 5% indicates that the bank is not healthy. From the above problems, then in this study aims to perform the implementation process of data mining methods to determine the accuracy level of prediction of creditworthiness at PT. BPR XYZ, so that the future of credit problems can be overcome. Data mining methods used in the prediction process are C4.5 and Naïve Bayes methods, where both methods are implemented and the accuracy level comparison process is used to see which method is more accurate in predicting creditworthiness. Both methods are also embedded AdaBoost method with the aim of increasing the accuracy in the process of prediction of creditworthiness feasibility. The result obtained from the comparison of method accuracy level, stated that the better accuracy is C4.5 method that is 90.00% with the precision level of 86.67%. As for the accuracy of Naïve Bayes method that is equal to 70.00% with the precision level of 79.71%. Then with the addition of AdaBoost method in predicting creditworthiness proved to increase the higher accuracy value of 91.54% in method C4.5 and by 78.13% in Naïve Bayes method. From the description above, with the implementation of AdaBoost method on the method of C4.5 and Naïve Bayes can improve the accuracy of the prediction of creditworthiness of PT. BPR XYZ. In addition, the implementation of the AdaBoost-based C4.5 method can be a recommendation for PT. BPR XYZ in conducting predictive process of credit worthiness in the future.
PENDETEKSIAN OBJEK ROKOK PADA VIDEO BERBASIS PENGOLAHAN CITRA DENGAN MENGGUNAKAN METODE HAAR CASCADE CLASSIFIER Sanjaya, Kadek Oki; Indrawan, Gede; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol. 1 No. 3 (2017): October
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.964 KB) | DOI: 10.23887/ijnse.v1i3.12938

Abstract

Object detection is a topic widely studied by the scientists as a special study in image processing. Although applications of this topic have been implemented, but basically this technology is not yet mature, futher research is needed to developed to obtain the desired result. The aim of the present study is to detect cigarette objects on video by using the Viola Jones method (Haar Cascade Classifier). This method known to have speed and high accuracy because of combining some concept (Haar features, integral image, Adaboost, and Cascade Classifier) to be a main method to detect objects. In this research, detection testing of cigarettes object is in samples of video with the resolution 160x120 pixels, 320x240 pixels, 640x480 pixels under condition of on 1 cigarette object and condition 2 cigarettes object. The result of this research indicated that percentage of average accuracy highest 93.3% at condition 1 cigarette object and 86,7% in the condition 2 cigarette object that was detected on the video with resolution 640x480 pixels, while the percentage of accuracy lowest 90% at condition 1cigarette object, and 81,7% at the condition 2 cigarette objects, detected on the video with the lowest resolution 160x120 pixels. The percentage of average errors at detection cigarettes object was inversely with percentage of accuracy. So that the detection system is able to better recognize the object of the cigarette, then the number of samples in the database needs to be improved and able to represent various types of cigarettes under various conditions and can be added new parameters related to cigarette object
Co-Authors ., I Wayan Adi Sumertama A. A. Gede Yudhi Paramartha Agus Seputra I Ketut Aryani, Luh Nitra Dewa Gede Hendra Divayana, Dewa Gede Hendra Gede Aditra Pradnyana Gede Indrawan Gede Rasben Dantes Gede Surya Mahendra Gede Suweken GUSTI NGURAH MADE AGUS WIBAWANTARA . I Gede Mahendra Darmawiguna I Gede Nyoman Agung Jayarana I Gusti Agung Ayu Sekarini I Gusti Made Wahyu Krisna Widiantara I Ketut Eddy.P I Made Agus Widiana Putra I Made Candiasa I Made Edy Listartha I Made Gede Sunarya I Nyoman Sukajaya I Putu Eka Sutariawan I PUTU EKA SUTARIAWAN . I Wayan Budiana I WAYAN GEDE SABDANA, S.KOM . Ida Bagus Prayoga Bhiantara Indriyani, Ni Luh Putu Ratih Indriyani, Ni Luh Putu Ratih Jaya, I Nyoman Surya Kadek Rihendra Dantes Kafabi, Moh Iqbal Luh Joni Erawati Dewi Luh Nitra Aryani Luh Putu Wiwien Widhyastuti M.Cs S.Kom I Made Agus Wirawan . Made Ari Sucahyana Made Windu Antara Kesiman Ni Ketut Pradani Gayatri Sarja Ni Made Rai Masita Dewi Ni Nyoman Mestri Agustini Ony Andewi, Putu Purba, Gabriel Nathanael Pusparani, Diah Ayu Putu Alan Arismandika Putu Gede Surya Cipta Nugraha Sanjaya, Kadek Oki Sanjaya, Kadek Oki Sari, Ni Ketut Ayu Purnama Siti Saibah Pua Luka Siti Saibah Pua Luka Sukajaya, I N. Sumertama, I Wayan Adi Suryaningsih, Gusti Ketut Suryaningsih, Gusti Ketut Taufik Akbar Taufik Akbar Trywanto Rina Widhiyanti Metra Putri, Dewi Arum Widhiyanti, Anak Agung Sandatya Widiantara, I Gusti Made Wahyu Krisna Yudistira, Bagus Gede Krishna