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All Journal Jurnal Matematika Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana E-Jurnal Matematika AdMathEdu : Jurnal Ilmiah Pendidikan Matematika, Ilmu Matematika dan Matematika Terapan PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pengabdian Informatika (JUPITA) Prosiding Seminar Nasional Universitas Ma Chung Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Gede Santi Astawa
Program Studi Teknik Informatika, Jurusan Ilmu Komputer. Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Udayana
Humanities Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Other

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Efektivitas Penggunaan Lembar Kerja Mahasiswa dalam Meningkatkan Pemahaman dan Penalaran Matematis Harini, Luh Putu Ida; Astawa, I Gede Santi
AdMathEdu : Mathematics Education, Mathematics, and Applied Mathematics Journal Vol 3, No 1: Juni 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/admathedu.v3i1.4832

Abstract

Penerapan Logika Fuzzy Dan Jaringan Syaraf Tiruan Pada Sistem Penilaian Berbasis Komputer Astawa, I Gede Santi
Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Vol 1, No 1 (2012)
Publisher : Jurusan Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.371 KB)

Abstract

    Pemanfaatan teknologi informasi di dalam dunia pendidikan dewasa ini berkembang sangat pesat. Fasilitas pembelajaran jarak jauh melalui media internet memungkinkan siswa melakukan pembelajaran mandiri sehingga dapat memperlancar proses belajar mengajar. Selain itu diupayakan pengembangan sistem yang bersifat adaptif sehingga diharapkan mampu mengarahkan proses belajar siswa. Untuk memenuhi harapan ini maka sistem harus dapat memerankan peranan selayaknya seorang pengajar, termasuk di dalamnya melakukan penilaian hasil belajar siswa. Penilaian ini harus dilakukan dengan memperhatikan aturan-aturan penilaian dari seorang pengajar yang berkompeten dibidangnya. Namun karena tidak ada aturan yang jelas dan berlaku umum bagi seorang pengajar dalam melakukan penilaian, maka proses penilaian haruslah dirancang mampu secara adaptif menyesuaikan perhitungannya dengan aturan-aturan penilaian dari pengajar yang menggunakan sistem.    Pada penelitian ini, digunakan pendekatan metode logika fuzzy dan metode jaringan syaraf tiruan dalam melakukan perhitungan penilaian hasil belajar. Dengan menggunakan variabelvariabel penilaian yang bersifat kuantitatif maupun kualitatif sebagai variabel masukan sistem yang disertai aturan-aturan penilaian seorang pengajar sebagai acuan perhitungan, diharapkan dapat menghasilkan hasil penilaian belajar siswa yang mendekati penilaian sebenarnya dari pengajar tersebut.
RANCANG BANGUN DAN ANALISIS EFEKTIFITAS PENGGUNAAN MEDIA KONSULTASI MATEMATIKA DISKRET MENGGUNAKAN METODE INFERENSI FORWARD CHAINNING Astawa, I Gede Santi; Harini, Luh Putu Ida
PYTHAGORAS : Jurnal Program Studi Pendidikan Matematika Vol 4, No 1 (2015): PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika
Publisher : UNIVERSITAS RIAU KEPULAUAN, BATAM, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (692.899 KB) | DOI: 10.33373/pythagoras.v4i1.575

Abstract

Abstrak Mata kuliah Matematika Diskrit adalah salah satu mata kuliah wajib yang memerlukan ketelitian dan tingkat penalaran yang lebih, sehingga perlu ada bahan pembelajaran yang mampu membantu mahasiswa untuk memahami materi dan berlatih. Berdasarkan hal tersebut, dikembangkanlah prototype sistem media konsultasi Matematika Diskret. Metode kecerdasan buatan runut maju dan runut mundur digunakan sebagai alternative untuk melayani pertanyaan-pertannyaan tanpa informasi yang lengkap dari pengguna. Selain mengembangkan sistem, penelitian ini juga bertujuan untuk mengetahui sejauh mana perkuliahan dengan menggunakan bantuan media konsultasi dapat meningkatkan prestasi belajar mahasiswa khususnya untuk mata kuliah Matematika Diskret dan untuk mengetahui nilai efektivitas dari media konsultasi dalam meningkatkan pemahaman dan  penalaran  mahasiswa. Dalam pelaksanaan penelitian, subjek penelitian (mahasiswa) dibagi ke dalam dua kelompok dan diberikan perlakuan yang berbeda, yaitu pembelajaran konvensional dan pembelajaran menggunakan bantuan media konsultasi sebagai media belajar mandiri. Prosedur pelaksanaan eksperimen terdiri dari pelaksanaan pre test, pemberian perlakuan, dan post test. Teknik analisis data menggunakan analisis deskriptif kualitatif dan kuantitatif. Analisis data deskriptif kuantitatif dilakukan terhadap data-data yang diperoleh dari hasil pre test dan post test, menggunakan analisis statistika deskriptif dan inferensial. Metode pembelajaran menggunakan media konsultasi memberikan peningkatan hasil belajar mahasiswa yang lebih besar dibandingkan pembelajaran konvensional. Pemberian pembelajaran dengan menggunakan bantuan media konsultasi berpengaruh secara signifikan terhadap peningkatan hasil belajar mahasiswa. Dengan demikian hasil penelitian menunjukkan penggunaan media konsultasi sebagai media bantu mahasiswa belajar secara mandiri, efektif dalam meningkatkan pemahaman mahasiswa pada materi matematika diskret. Kata Kunci: forward chainning, matematika diskret, media konsultasi, prototype.  Abstract Discrete Mathematics course is one of the compulsory subjects that require precision and a more level reasoning, so it needs no learning materials that can help students to understand the material and practice. Based on this, it is developing a prototype system Discrete Mathematics media consultation. Artificial intelligence methods trace forward and backward trace is used as an alternative to serving questions-questions arise without complete information of the user. In addition to developing the system, this study also aims to determine the extent of the course with the help of consulting media can improve student achievement, especially for Discrete Mathematics subjects and to determine the effectiveness of media consultancy value in improving student understanding and reasoning. In the conduct of research, research subjects (students) were divided into two groups and given different treatments, namely conventional teaching and learning using media consulting assistance as a self-learning media. The procedure consists of the implementation of the experimental implementation of the pre-test, giving treatment, and post-test. Data were analyzed using descriptive analysis of qualitative and quantitative. Quantitative descriptive data analysis performed on the data obtained from the pre-test and post-test, using descriptive and inferential statistical analysis. The learning method uses a media consultancy provides improved student learning outcomes greater than conventional learning. Provision of learning with the help of media consultancy significantly influence student learning outcome. Thus the results of the consultation showed the use of media as a medium to help students learn independently, effective in improving student understanding of the material discrete mathematics. Keywords: forward chainning, discrete mathematics, media consulting, prototype
Pengaruh Fitur Terhadap Hasil Diagnosis Gangguan Hati Menggunakan Jaringan Syaraf Tiruan(JST) pada Matlab Prebiana, Kiki Dwi; Santi Astawa, I Gede
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 8 No 3 (2020): JELIKU Volume 8 No 3, February 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v08.i03.p07

Abstract

The diagnosis is a classification of a person based on a disease or abnormality . One classification technique that can be used is Artificial Neural Networks. ANN is an information processing system that has characteristics similar to human nerves, in ANN training data is needed in learning. The learning process in Artificial Neural Networks related to the length of time the learning is done. One way to reduce computing time can be done with the selection feature. In this study, an analysis of the results of the diagnosis of liver disorders using Artificial Neural Networks with feature selection and without feature selection. The test results show that the accuracy of the data obtained by performing feature selection tends to be more stable when compared to the value of data accuracy without feature selection. Besides the learning time required by the data that do feature selection tends to be faster than data that does not do the feature selection.
Performance Evaluation of Contract Labor Using Cluster Analysis Putra, Putu Pasek Wahyu Chandra; Astawa, I Gede Santi
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 9 No 2 (2020): JELIKU Volume 9 No 2, November 2020
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2020.v09.i02.p06

Abstract

The role of employees is needed to determine the success of a company. Performance appraisal performance is a way to measure the contribution made. One way to do an evaluation is by classifying the data. After the data is grouped into clusters, a ranking is done. Method used The Simple Additive Weighting (SAW) method is to find the weighted sum of the performance ratings for each alternative on all attributes. The criteria that will be used as a reference in making decisions are performance, presence and behavior. Very good performance was achieved by contract workers located in cluster 1, contract workers located in cluster 5 received a good rating, contract workers located in cluster 4 received a sufficient rating, contract workers located in cluster 4 received a bad predicate and contract workers located in cluster 3 get a very bad predicate. The purity method is used to measure the purity level of a cluster. The purity value obtained is 0.89 or 89%. Which indicates the accuracy value with the purity test is good because the purity value is close to 1
ANALISIS DAN IMPLEMENTASI PENJADWALAN DENGAN MENGGUNAKAN PENGEMBANGAN MODEL CROSSOVER DALAM ALGORITMA GENETIKA Yunantara, Made Darma; Astawa, I Gede Santi; ER, Ngr. Agus Sanjaya
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Volume 1 No 2 - Nopember 2012
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

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

Abstract

Optimasi penjadwalan dapat dilakukan dengan berbagai metode salah satunya algoritmagenetika. Pada algoritma genetika dilakukan beberapa tahap dalam melakukan optimasipenjadwalan yaitu seleksi, crossover dan mutasi. Pada metode crossover kromosompenjadwalan akan diacak dan ditukarkan dengan kromosom yang lainya. Pada penelitian ini,dilakukan pengembangan terhadap metode crossover yang diambil dari metode crossover yangbiasa dilakukan di algoritma genetika. dimana pada metode crossover pada umumnyamemungkinkan terjadinya kerusakan pada kromosom.Terdapat 2 metode yang dikembangkan, pertama dengan memotong gen hanya pada genyang mengalami bentrok, dan yang kedua merandom gen yang akan dipotong. Gen dipotongsecara utuh tidak memotong ditengah gen, sehingga tidak merusak gen.Analisis terhadap hasil uji coba menunjukan bahwa pengembangan metode crossoverdapat diimplementasikan pada kasus penjadwalan dan terlihat bahwa metode yang memotonggen hanya pada gen yang bentrok lebih cepat mencapai nilai terbaik atau mendekati 1 daripadametode yang hanya merandom gen saja. Dari nilai akhir juga terlihat bahwa metode yangmemotong gen pada gen yang bentrok memiliki nilai akhir lebih baik. Selain itu kedua metodeini mampu meminimalisir kerusakan pada kromosom hasil dari crossover.
Klasifikasi Penyakit Kanker Payudara Menggunakan Jaringan Syaraf Tiruan dan Seleksi Fitur Gorianto, Frisca Olivia; Santi Astawa, I Gede
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 8 No 2 (2019): Jeliku Volume 8 No 2, November 2019
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2019.v08.i02.p01

Abstract

Breast cancer is still one of the leading causes of death in the world. Prevention can be done if the cancer can be recognized early on whether the cancer is malignant or benign. In this study, a comparison of malignant and benign cancer classifications was performed using two artificial neural network methods, which are the Feed-Forward Backpropagation method and the Elman Recurrent Neural Network method, before and after the feature selection of the data. The result of the study produced that Feed-Forward Backpropagation method using 2 hidden layers is better after the feature selection was performed on the data with an accuracy value of 99,26%.
Implementasi Rancang Bangun Sistem Informasi Survei Industri Besar dan Sedang Bulanan Badan Pusat Statistik Provinsi Bali Suwitra, I Made Pradnyanandana Suwitra; Santi Astawa, I Gede
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 7 No 4 (2019): JELIKU Volume 7 No 4, Mei 2019
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2019.v07.i04.p01

Abstract

Penggunaan komputer untuk mengolah data mentah telah diterapkan pada berbagai survei yang dilakukan oleh BPS. Namun selain itu, terdapat juga survei yang belum menggunakan sistem informasi. Salah satu survei tersebut adalah Survei IBS Bulanan. Menurut data hasil wawancara yang dilakukan dengan staff BPS Provinsi Bali, hal ini masih menyulitkan staff di tingkat provinsi untuk melakukan validasi terhadap data. Karena dengan penggunaan file excel, data yang dikirim seringkali tidak sesuai dengan persyaratan (tidak clean). Sehingga staff provinsi harus mengecek ulang data-data tersebut. Berdasarkan permasalahan tersebut, penulis mencoba mengembangkan sistem yang mampu menangani permasalahan pada Survei (IBS) Bulanan tersebut. Sistem ini dapat mencatat dan mengolah data jenis barang yang dihasilkan oleh perusahaan manufaktur pada bulan tertentu secara langsung sehingga proses pengolahan data menjadi lebih efisien. Hasil yang didapatkan yaitu terbangun sebuah sistem yang mampu memenuhi kebutuhan staf BPS untuk mengentri data IBS Bulanan dan melakukan validasi sehingga data yang terentri merupakan data yang clean.
Ontology-based Approach for Laptop Semantic Knowledge Representation Yowe, Samson Cornelius Gele; Astawa, I Gede Santi
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 9 No 4 (2021): JELIKU Volume 9 No 4, Mei 2021
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2021.v09.i04.p05

Abstract

The rapid development of technology requires everyone to adapt. It is the same as the demands of work and school so that everyone should be more able to handle this problem. It is inevitable that the use of laptops today is not something that is a step. Almost all age groups use laptops to do school work, complete office work, or as a medium of entertainment. With so many types of laptops, some people are confused about choosing a laptop. The use of ontology as an information representation technique is a solution to this problem. Ontology can present information or knowledge sources semantically and organize various information resources in a systematic and structured manner. In the development of this ontology will be made using the methontology method. Methontology is one of the ontology model development methodologies which has advantages related to a detailed description of each activity. In addition, methontology also has other advantages, namely the development of ontology that are now made usable for further system development. Therefore, this study is proposed to build an ontology model that represents knowledge about laptops.
A Recommendation System for Hotel in Bali Using Case Based Reasoning Method Prashanti, Ni Putu Vidya Vira; Astawa, I Gede Santi
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 10 No 1 (2021): JELIKU Volume 10 No 1, Agustus 2021
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JLK.2021.v10.i01.p02

Abstract

When on vacation, one of the essential amenities that is needed is the availability of accommodation such as hotel. One of the areas that become a holiday destination is the island of Bali. Being one of the tourist destinations of course many lodgings available in Bali with various facilities offered. The problem facing tourists is when choosing the right lodging that suits your wishes or needs, so in this study will be built a hotel recommendation system in Bali. The purpose of this research is to assist tourists in choosing the right hotel. The study used 78 hotel data sourced from the agoda.com. The methods used in this study are Case Based Reasoning and K-Nearest Neighbor. The result of this study is that the hotel recommendation system in Bali has managed to provide hotel selection recommendations based on 14 features namely district, hotel class, room type, and availability of facilities such as breakfast, swimming pool, television, gym, air conditioner, scenery, and nightly stay price. Based on black box testing, it is obtained the result that the hotel recommendation system in Bali can function properly.
Co-Authors Agus Prayogo Anak Agung Istri Ngurah Eka Karyawati Apsari, Made Sri Ayu G.K. GANDHIADI Gede Maharta Pamuji Gorianto, Frisca Olivia Gst. Ayu Vida Mastrika Giri I Gede Arta Wibawa I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Anom Cahyadi Putra I Gusti Ngurah Bagus Pramana Putra I Kadek Gowinda I Komang Ari Mogi I Made Widiartha I Made Widiartha I Putu Ananta Wijaya I Putu Ananta Wijaya I Putu Indie Surya Jayadi I Putu Rama Anadya I Putu Sedana Wijaya I WAYAN SANTIYASA I Wayan Supriana Ida Bagus Gede Bayu Priyanta Ida Bagus Gede Dwidasmara Ida Bagus Made Mahendra Jonas Kuntoro Kadek Vincky Sedana Luh Arida Ayu Rahning Putri LUH PUTU IDA HARINI Made Darma Yunantara Ngurah Agus Sanjaya ER Ni Made Novia Nurtiani Ni Made Novia Nurtiani Ni Made Rai Nirmala Santhi Ni Putu Intan Cahyani Nyoman Hendradinata Dharma Pasha Renaisan Pasha Renaisan Prashanti, Ni Putu Vidya Vira Prebiana, Kiki Dwi Putra, Putu Pasek Wahyu Chandra Putri Cahyaning Putu Bayu Baskara Raharja, Made Agung Rasita Natasya Br Sitepu Roger Julian Sitorus Suwitra, I Made Pradnyanandana Suwitra Theresia Seftiani Girsang Valerie Laurent Wijana, Sawendo Eko Yowe, Samson Cornelius Gele