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Konseptualisasi Ontologi Iklan Website Cahyono, Nuri; Utami, Ema; Amborowati, Armadyah
Jurnal Buana Informatika Vol 7, No 4 (2016): Jurnal Buana Informatika Volume 7 Nomor 4 Oktober 2016
Publisher : Universitas Atma Jaya Yogyakarta

Abstract. The high internet users in Indonesia, with a number of user penetration of more than 34.9%. The internet user has a diverse demographic that is spread throughout the territory. Seeing this potential can be in the know on the website advertising potential. To optimize that ads on a website can be relevant to the user required a design method. Ontologies are used as domain knowledge in the delivery of relevant ads. Ontology is built through a process of conceptualization, adapted from methods Gruninger and Fox and Methontology. Conceptualization resulting from such methods, evaluation methods OntoQA (Ontology Quality Analysis). Measurements were carried out to produce a quality score potential knowledge with details Relation richness value of 0.451, the value of Inheritance richness of 4.857 and a richness Attributte value of 6.75. Value Relations shows the richness of the information provided ontology categorized at level sufficiently rich in knowledge. Value Inheritance richness showed ontology includes areas of general knowledge. While the value Attributte describe the richness of the information provided.Keywords: Ontology, Ads, OntQA Abstrak. Tingginya pengguna internet di indonesia, dengan jumlah penetrasi pengguna lebih dari 34,9%. Pengguna internet tersebut memiliki demografi beraneka ragam yang tersebar diseluruh wilayah. Melihat hal tersebut dapat di ketahui potensi iklan pada website sangat potensial. Untuk mengoptimalkan agar iklan yang ada pada sebuah website dapat relevan dengan pengguna diperlukan sebuah metode perancangan. Ontologi dimanfaatkan sebagai domain pengetahuan dalam pemberian iklan yang relevan. Ontologi dibangun melalui proses konseptualisasi yang diadaptasi dari metode Gruninger and Fox dan Methontology. Konseptualisasi yang dihasilkan dari metode tersebut, dilakukan evaluasi menggunakan metode OntoQA (Ontology Quality Analysis). Pengukuran yang dilakukan menghasilkan skor kualitas potensi pengetahuan dengan rincian nilai Relation Richness sebesar 0,452, nilai Inheritance Richness sebesar 4,857 dan nilai Attributte Richness sebesar 6,75. Nilai Relation Richness menunjukkan informasi yang disediakan ontologi dikategorikan pada level cukup kaya akan pengetahuan. Nilai Inheritance Richness menunjukkan ontologi mencakup bidang pengetahuan yang umum. Sementara nilai Attributte Richness menggambarkan informasi yang disediakan.Kata Kunci: Ontologi, Iklan, OntoQA

Ekstraksi Informasi Terstruktur Profil Pengguna Website Iklan Baris Cahyono, Nuri
Jurnal Buana Informatika Vol 12, No 1 (2021): Jurnal Buana Informatika Volume 12 - Nomor 1 - April 2021
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v12i1.4400

Abstract. Extraction of Structured Information on Classified Ads Website User Profiles. The large amount of user data published on online buying and selling sites provides benefits for research and digital marketing. Data extraction was a method for obtaining data from publicly published website content. The first step was to determine the website category that was needed, then determined the attributes to be used as a reference in compiling the data extraction tags. The next step was to identify the tags that were taken based on the tag elements of the website that matched these attributes. Elements to compile tag extraction included CSS Selector, HTML Tag and Xpath. Based on this, a data extraction code was created with four iterations based on categories. The test was done by calculating the accuracy to find out the complete amount of extracted data. From a total of 16,000 data extracted in this test, the accuracy rate was 99.0625%.Keywords: Data Extraction, Web Scrapping, Classified AdsÂ Abstrak. Perkembangan situs jual beli online berdampak pada banyaknya data pengguna yang dipublikasikan secara online. Profil pengguna situs web memiliki banyak manfaat baik untuk penelitian maupun untuk tujuan dalam pemasaran digital. Ekstraksi data adalah mekanisme untuk mendapatkan data dari konten situs web yang disajikan secara umum. Langkah pertama adalah menentukan kategori website kemudian menentukan atribut yang akan digunakan sebagai acuan dalam menyusun tag ekstraksi data yang diambil berdasarkan elemen tag dari website yang sesuai dengan atribut tersebut. Elemen tag yang diambil untuk menyusun tag ekstraksi antara lain CSS Selector, HTML Tag dan Xpath, kemudian dibuat skenario ekstraksi data dengan skenario empat kasus berdasarkan kategori yang telah ditentukan. Pengujian dilakukan dengan menghitung akurasi untuk mengetahui jumlah data yang berhasil di dapatkan secara lengkap. Dari total 16000 data dari hasil ekstraksi, dalam pengujian ini menghasilkan tingkat akurasi 99.0625%.Kata Kunci: Ekstraksi Data, Web Scrapping, Iklan Baris

Konseptualisasi Ontologi Iklan Website Nuri Cahyono; Ema Utami; Armadyah Amborowati
Jurnal Buana Informatika Vol. 7 No. 4 (2016): Jurnal Buana Informatika Volume 7 Nomor 4 Oktober 2016
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v7i4.768

Abstract. The high internet users in Indonesia, with a number of user penetration of more than 34.9%. The internet user has a diverse demographic that is spread throughout the territory. Seeing this potential can be in the know on the website advertising potential. To optimize that ads on a website can be relevant to the user required a design method. Ontologies are used as domain knowledge in the delivery of relevant ads. Ontology is built through a process of conceptualization, adapted from methods Gruninger and Fox and Methontology. Conceptualization resulting from such methods, evaluation methods OntoQA (Ontology Quality Analysis). Measurements were carried out to produce a quality score potential knowledge with details Relation richness value of 0.451, the value of Inheritance richness of 4.857 and a richness Attributte value of 6.75. Value Relations shows the richness of the information provided ontology categorized at level sufficiently rich in knowledge. Value Inheritance richness showed ontology includes areas of general knowledge. While the value Attributte describe the richness of the information provided.Keywords: Ontology, Ads, OntQA Abstrak. Tingginya pengguna internet di indonesia, dengan jumlah penetrasi pengguna lebih dari 34,9%. Pengguna internet tersebut memiliki demografi beraneka ragam yang tersebar diseluruh wilayah. Melihat hal tersebut dapat di ketahui potensi iklan pada website sangat potensial. Untuk mengoptimalkan agar iklan yang ada pada sebuah website dapat relevan dengan pengguna diperlukan sebuah metode perancangan. Ontologi dimanfaatkan sebagai domain pengetahuan dalam pemberian iklan yang relevan. Ontologi dibangun melalui proses konseptualisasi yang diadaptasi dari metode Gruninger and Fox dan Methontology. Konseptualisasi yang dihasilkan dari metode tersebut, dilakukan evaluasi menggunakan metode OntoQA (Ontology Quality Analysis). Pengukuran yang dilakukan menghasilkan skor kualitas potensi pengetahuan dengan rincian nilai Relation Richness sebesar 0,452, nilai Inheritance Richness sebesar 4,857 dan nilai Attributte Richness sebesar 6,75. Nilai Relation Richness menunjukkan informasi yang disediakan ontologi dikategorikan pada level cukup kaya akan pengetahuan. Nilai Inheritance Richness menunjukkan ontologi mencakup bidang pengetahuan yang umum. Sementara nilai Attributte Richness menggambarkan informasi yang disediakan.Kata Kunci: Ontologi, Iklan, OntoQA

Ekstraksi Informasi Terstruktur Profil Pengguna Website Iklan Baris Nuri Cahyono
Jurnal Buana Informatika Vol. 12 No. 1 (2021): Jurnal Buana Informatika Volume 12 - Nomor 1 - April 2021
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v12i1.4400

Abstract. Extraction of Structured Information on Classified Ads Website User Profiles. The large amount of user data published on online buying and selling sites provides benefits for research and digital marketing. Data extraction was a method for obtaining data from publicly published website content. The first step was to determine the website category that was needed, then determined the attributes to be used as a reference in compiling the data extraction tags. The next step was to identify the tags that were taken based on the tag elements of the website that matched these attributes. Elements to compile tag extraction included CSS Selector, HTML Tag and Xpath. Based on this, a data extraction code was created with four iterations based on categories. The test was done by calculating the accuracy to find out the complete amount of extracted data. From a total of 16,000 data extracted in this test, the accuracy rate was 99.0625%.Keywords: Data Extraction, Web Scrapping, Classified Ads Abstrak. Perkembangan situs jual beli online berdampak pada banyaknya data pengguna yang dipublikasikan secara online. Profil pengguna situs web memiliki banyak manfaat baik untuk penelitian maupun untuk tujuan dalam pemasaran digital. Ekstraksi data adalah mekanisme untuk mendapatkan data dari konten situs web yang disajikan secara umum. Langkah pertama adalah menentukan kategori website kemudian menentukan atribut yang akan digunakan sebagai acuan dalam menyusun tag ekstraksi data yang diambil berdasarkan elemen tag dari website yang sesuai dengan atribut tersebut. Elemen tag yang diambil untuk menyusun tag ekstraksi antara lain CSS Selector, HTML Tag dan Xpath, kemudian dibuat skenario ekstraksi data dengan skenario empat kasus berdasarkan kategori yang telah ditentukan. Pengujian dilakukan dengan menghitung akurasi untuk mengetahui jumlah data yang berhasil di dapatkan secara lengkap. Dari total 16000 data dari hasil ekstraksi, dalam pengujian ini menghasilkan tingkat akurasi 99.0625%.Kata Kunci: Ekstraksi Data, Web Scrapping, Iklan Baris

FORMALISASI ONTOLOGI BERBASIS WEB SEMANTIK DAN PENGUJIAN SPARQL QUERY Nuri Cahyono; Ema Utami; Armadyah Amborowati
INFOSYS (INFORMATION SYSTEM) JOURNAL Vol 4, No 1: INFOSYS Februari 2016
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/infosys.4.1.2016.70-82

Pada sistem keanggotaan data member merupakan aset yang sangat penting, hal tersebut dapat di manfaatkan untuk mendapatkan pemasukan melalui media iklan. Dengan banyaknya member yang memiliki latarbelakang demografi yang berbeda-beda Mengakibatkan informasi yang di diberikan kepada pengguna tidak selalu sesuai kebutuhan. Sehingga di perlukan cara, bagaimana agar informasi yang diberikan kepada setiap orang itu lebih relevan. Ontologi dimanfaatkan sebagai domain pengetahuan dalam pemberian sugesti iklan tertarget. Ontologi dibangun melalui proses perancangan yang diadaptasi dari metode perancangan ontologi Gruninger and Fox dan Methontology. Rancangan yang dihasilkan dari metode tersebut kemudian diimplementasikan menggunakan bantuan tool protege. Proses pengembangan ontologi melalui sejumlah tahapan konseptualisasi hingga formalisasi dari domain keahlian. Penelitian ini menghasilkan ontologi dari domain sugesti iklan yang terdiri atas 41 kelas, 28 relasi,78 atribut dan 51 aturan yang telah memenuhi kriteria konsistensi. Kemampuan ontologi dalam menyediakan pengetahuan sugesti iklan, menunjukkan ontologi telah memenuhi kriteria completeness berdasarkan pertanyaan kompetensi dan ekspektasi jawaban.

Analisis Sentimen Mengenai Vaksin Sinovac Menggunakan Algoritma Support Vector Machine (SVM) dan K-Nearest Neighbor (KNN) Anna Baita; Yoga Pristyanto; Nuri Cahyono
Information System Journal Vol. 4 No. 2 (2021): Information System Journal (INFOS)
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2021v4i2.687

Pandemi COVID-19 yang bermula di Wuhan, Tiongkok, saat ini menjadi pandemi yang terjadi di berbagai negara di seluruh dunia. Upaya vaksinasi dilakukan untuk mengurangi tingkat penyebaran dari virus COVID-19. Pemberian vaksin memberikan dampak yang berbeda-beda, sehingga menimbulkan berbagai opini terhadap pemberian vaksin ini. Sentimen analisis dapat digunakan untuk mengalisa opini masyarakat terhadap pemberian vaksin ini. Dalam penelitian ini menggunakan algoritma SVM dan KNN untuk melakukan analisa mengenai sentimen masyarakat terhadap pemberian vaksin ini. Adapun opini di dapatkan dari aplikasi twitter dengan keyword sinovac. Dataset yang digunakan merupakan cuitan dalam bahasa Inggris. Proses pelabelan teks dilakukan secara otomatis menggunakan textblob. Hasil penelitian menunjukkan bahwa algoritma SVM memiliki performa yang lebih baik jika dibandingkan dengan algoritma KNN. Akurasi algoritma SVM sebesar 0.7, sedangkan akurasi algoritma KNN sebesar 0.56.

Implementasi Fitur Electronic Customer Relationship Management pada Rekam Medis Nuri Cahyono
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 3 No 3: Agustus 2014
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (459.461 KB)

Managing relationships with customers is a strategy that is currently required by each agency as a strategic part of the business in order to increase customer loyalty, in this case including both the health care institutions hospitals, health centers and other health care institutions. This study aims to implementation the features of Electronic Customer Relationship Management for the patient medical record. With this implementation of health care institutions will be able to apply the technology to help so that patients gain the ease and convenience of services provided which will later be formed customer loyalty.

Analisis Deteksi Marker Kemunculan Objek 3D Pada Augmented Reality Menggunakan Metode MBT Nuri Cahyono; Arif Rahmat Hidayatullah
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5641

AbstractTechnological developments are getting advanced all the time, one of which is Augmented Reality, nowadays there are many uses of the Marker Based Tracking method used in Augmented Reality for various fields. Although many use Augmented Reality, there are still many who do not know the limitations contained in the Marker Based Tracking method, namely the minimum and maximum required levels of light intensity, distance, and angle in marker detection. This study aims to determine the effect and seek the level of minimum and maximum requirement of light intensity, distance and angle of the Marker Based Tracking method in marker detection. In this study the data collection process will use the testing method, the testing process will be carried out based on predetermined test parameters, such as light intensity, distance, and angle with several different variable indicators that have been determined, namely the variable light indicator using no light source, yellow light, white light source and sun light source then variable distance and angle indicators using 5cm, 10cm, 20cm, 30cm, 40cm, 50cm, 60cm, 70cm, 80cm, 90cm and 15°, 30°, 45°, 60° , 75°, 90°. The test results of the Marker Based Tracking method show that the marker detection distance is a minimum of 10 centimeters and a maximum of 80 centimeters, as well as a minimum marker detection angle of 45 degrees and a maximum of 90 degrees. For all light sources, Augmented Reality applications can detect markers and display 3D objects based on light intensity; however, without light, they cannot detect the marker. Testing without light intensity obtains a detection accuracy rate of 0%, for testing on yellow light sources obtains a detection accuracy rate of 48%, for testing on white light sources obtains a detection accuracy rate of 51%, for testing on solar light sources obtains a detection accuracy rate of 51%. detection accuracy of 53%.

Pengujian Device dan Blackbox pada Aplikasi Augmented Reality Alat Musik Tradisional Yogyakarta Nuri Cahyono; Ramadhan Bima Saputra
Journal of Information System Research (JOSH) Vol 4 No 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i3.3148

One of Indonesia's provinces, D.I. Yogyakarta is rich in regional culture and arts, including traditional musical instruments, traditional weapons, and houses.Traditional musical instruments are one of Yogyakarta's typical local cultures.Traditional musical instruments are now a specialty of the province, especially in Yogyakarta, where Javanese culture is still strong and well-known.Concern for the preservation of national culture, particularly traditional musical instruments, has diminished significantly over time.One important reason for people's growing interest in Yogyakarta's culture is, for instance, the community's lack of exposure to and familiarization with it. Using Android-based Augmented Reality (AR) technology is one method for introducing younger generations to Yogyakarta traditional musical instruments. From 2D objects, users can directly view information, sound, and 3D objects with this technology.As a result, the researcher was motivated to develop an Android app that would teach students about a variety of Yogyakarta traditional musical instruments through the use of augmented reality. This application was developed using the Unity and Vuforia SDK software as libraries and C# as the programming language. In this study utilizing the MDLC (Multimedia Development Live Cycle) Multimedia Development Method which is limited only to the testing stage then in carrying out the testing using the Blackbox method as a method of testing the functionality of the applications that have been made.

Estimasi Data Insight Social Media Ads Menggunakan Neural Network, Linear Regression dan Deep Learning Zurni Laila; Nuri Cahyono
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 3 (2023): Maret 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.5451

PT IlmuKomputerCom Braindevs is a professional training company that sells products in the form of training services (courses). In service companies such as PT IlmuKomputerCom Braindevs Sistema, holding courses with high demand is the key to increasing company profits. The marketing division is a very important division in the context of holding a course/training. To manage the target participants needed in organizing training. In addition, PT IlmuKomputerCom Braindevs also needs to estimate advertising costs and ad duration in the training promotions that will be held. To analyze the marketing division using data mining techniques and the Cross-industry standard process for data mining (CRISP-DM) method to obtain the desired estimate. So to get the final result of the participant's estimated value, ad duration and ad cost, an algorithm that has the most accurate accuracy is needed according to the reference from the results of the comparison of algorithms by looking at the value of RMSE (Root Mean Square Error). The closer the resulting value is to 0, the better the estimated accuracy of the RMSE (Root Mean Square Error) estimate will be.

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