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All Journal Jurnal Teknik Informatika (JUTIF) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Teknikom: Teknologi Informasi, Ilmu Komputer dan Manajemen
Nur Alfi Ekowati
Informatics, Universitas Jenderal Soedirman, Indonesia
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Mathematics

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Pengembangan Onti Measures Berbasis Web dengan Pengujian Data Ontology Virus dan Penyakit Nur Alfi Ekowati; Ika Indah Lestari; Sulistiyasni
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 10 No 4: November 2021
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1510.956 KB) | DOI: 10.22146/jnteti.v10i4.2443

Abstract

The use of the ontology document in the COVID-19 case is an example where the inconsistency measure for OWL ontologies is undoubtedly needed. Ontology is a knowledge representation of semantic web technology, which is the extension of a website. The role of inconsistency measure is essential in ensuring that all information on an ontology is consistent. This research aims to develop a web-based application program, namely Onti Measures, which is an expansion of the inconsistency measures program prototype that has been created in the previous research. That prototype has multiple weaknesses, such as it is only in the form of program codes with no user interface so that the public cannot access this program. The data collection method in this research was done through literature study, while the waterfall method was used as the system development method. This research’s testing sample was ontology files for virus and disease cases served as the input of Onti Measures using 3 types of OWL reasoners. The program's outputs were the information of inconsistency values, running times, and the ontology sizes. The testing was done by employing the whitebox and blackbox testing methods.
SMS Translator Bahasa Indonesia - Bahasa Jawa Menggunakan Teknologi J2ME Nur Alfi Ekowati; Yusmedi Nurfaizal; Nandang Hermanto
Jurnal Teknologi Informasi, Ilmu Komputer dan Manajemen Vol 2 No 2 (2018): Teknikom Vol. 2 No. 2 Tahun 2018
Publisher : LPPM STMIK Widya Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.653 KB)

Abstract

SIL (Summer Institute of Linguistics) data showthat among 735 local languages in Indonesia, there are 652languages in an alarming condition, not known, even 2languages of them are extinct. Particularly, Bahasa Jawa asan original language spoken by the people from Central Javaprovince is less desirable as the daily communicationlanguage of its younger generation. This is conformable bythe results of a survey to a number of representative studentsfrom all of the state senior high schools (SMA negeri) in aregion in the Central Java, namely Purwokerto. It proves thatthe students who represent the young people in the areacannot master the well-usage of Bahasa Jawa correctly.Whereas, the language is very important to havecommunication with the elder people. The application of SMStranslator from Bahasa Indonesia to Bahasa Jawa isdeveloped to help solving the problem.
Penerapan Asosiasi Produk Berbasis AI untuk Rekomendasi Bisnis di Industri 4.0 dengan Pertimbangan Analisis Perilaku Beli Konsumen Sunaryono sunaryono; Atika ratna saridewi; Nur Alfi Ekowati
Jurnal Teknologi Informasi, Ilmu Komputer dan Manajemen Vol 3 No 2 (2019): Teknikom Vol. 3 No. 2 Tahun 2019
Publisher : LPPM STMIK Widya Utama

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Abstract

Data riwayat dalam transaksi retail saat ini banyak yang belum di manfaatkan. Pada retail terkecil, meski hanya dalam jangka waktu satu jam terdapat minimal 10 transaksi. Maka dalam satu hari terdapat minimal 100 transaksi, dan dalam satu bulan terdapat minimal 3000 data transaksi. Hal tersebut tentu akan membuat jumlah data menjadi semakin besar. Apriori merupakan salah satu algoritma data mining yang digunakan untuk melakukan asosiasi terhadap produk-produk retail. Melalui algoritma ini akan ada pengetahuan baru bagi pemilik retail dalam melakukan manajemen data produk. Hal tersebut baik untuk pemasaran dan pemanfaatan probabilitas guna mengetahui prediksi dan klasifikasi tingkat penjualan dari big data riwayat transaksi retail sebelumnya.Saat ini telah ada beberapa penelitian tentang asosiasi produk. Namun dalam penelitian-penelitian tersebut data yang diambil adalah berdasarkan perilaku beli konsumen secara langsung. Sedangkan pada penelitian ini data yang dianalisis adalah perilaku beli konsumen secara daring melalui marketplace. Selain itu penelitian ini pun menghasilkan perangkat lunak berbasis artificial intelligence dengan algoritma apriori yang dapat digunakan untuk memberikan rekomendasi bisnis pada era Industri 4.0 berdasarkan analisis perilaku beli dari data tersebut. Metode pengumpulan data pada penelitian ini adalah melalui studi pustaka , FGD (Focus Group Discussion), dan dataset statistik pada marketplace, khususnya yang ada di Indonesia. Sedangkan metode pengembangan sistem dari penelitian ini menggunakan metode waterfall dengan tahapan-tahapan yang ada pada SDLC (Software Development Life Cycle) untuk membangun sebuah perangkat lunak. Luaran yang diharapkan dari penelitian ini berupa publikasi ilmiah jurnal nasional, prosiding dalam pertemuan ilmiah , serta hak cipta. Perangkat lunak yang dihasilkan dari penelitian ini merupakan ranah perangkat lunak baru yang sedang didalami oleh komunitas riset dasar.
Inconsistency Measure OWL Ontology Berbasis Axiom dengan MinInc Inconsistency Value Nur Alfi Ekowati; Sunaryono Sunaryono; Dwi Prasetyo
Jurnal Teknologi Informasi, Ilmu Komputer dan Manajemen Vol 3 No 1 (2019): Teknikom Vol. 3 No. 1 Tahun 2019
Publisher : LPPM STMIK Widya Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.873 KB)

Abstract

Inconsistency measure adalah sebuah pengukur yang digunakan untuk menganalisis inkonsistensi pada knowledge base. Pengukur ini sangat berguna untuk menganalisis tingkat keparahan inkonsistensi dari sebuah ontology. Pengukur inkonsistensi (inconsistency measure) tersebut dapat diterapkan di era kini guna membantu proses analisis data dalam jumlah besar. Saat ini ada beberapa inconsistency measure untuk Propositional Logic yang telah tersedia. Sebuah gagasan menarik muncul dan perlu diteliti, yaitu kemungkinan diciptakannya inconsistency measure berbasis axiom dengan MinInc Inconsistency Value (MIV) untuk OWL ontology serta mengadaptasi atau mengkonversikan measure-measure Propositional Logic tersebut. Tiga measure untuk OWL ontology telah diciptakan secara teoritis, yaitu MIVD, MIV#, dan MIVC. Selain itu pembuatan program aplikasi ketiga measure tersebut juga dilakukan sebagai implementasinya dengan menggunakan OWL reasoner tertentu. Sehingga measure tersebut dapat lebih dirasakan manfaatnya secara praktis. Nilai inkonsistensi akan memberi intuisi untuk menggali cara dalam menangani inkonsistensi ontology tersebut. Metode pengumpulan data pada penelitian ini adalah melalui studi pustaka. Sedangkan metode pengembangan sistem dari penelitian ini menggunakan metode waterfall dengan tahapan-tahapan yang ada pada SDLC (Software Development Life Cycle) untuk membangun sebuah perangkat lunak. Dari ketiga measure yang ada, MIVD adalah inconsistency measure paling sederhana perhitungannya dan menghasilkan nilai inkonsistensi antara 0 dan 1 saja.
DESIGN AND DEVELOPMENT OF WEB-BASED APPLICATION CANGKINGAN USING SCRUM METHOD Khori Sahirul Alim; Nur Alfi Ekowati; Rianti Yunita Kisworini; Lutvi Riyandari
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.1311

Abstract

The web-based application can ease business owners on promoting and giving the services to the customers. Nevertheless, nowadays there are still not many UMKMs (micro, small, and medium enterprises) in the Banyumas Regency that apply it. Many of them still preserve the conventional way by doing the transaction directly. This research is aimed to design and develop a web-based marketplace application, namely Cangkingan. That application is supposed to help UMKMs in Banyumas in managing inventory, processing orders, and marketing culinary products online. The outline of this research flow includes needs analysis, system design, system development, and system testing. The methods of data collection that are used are interview, observation, literature study, and questionnaire. The application design is created in various diagrams and user interface designs. The method of system development is scrum. This design and development are done within 10 sprints in which each sprint is held for two weeks. The application is built using MySQL, CodeIgniter framework, and PHP language. Testing of Cangkingan system is carried out using the ISO 9126 standard which consists of testing functionality, usability, reliability, efficiency, portability, and maintainability. The test result on most of the test aspects state that the application is satisfactory (good). Especially for the usability testing that is done to 36 respondents, Cangkingan gets excellent result. This test result is one of the proofs that the research purpose has been achieved and the application Cangkingan that has been developed is able to help the UMKMs with culinary products in Banyumas.
DESCRIPTIVE ANALYSIS AND COMPARISON OF REASONER USING ONTI MEASURES Ika Indah Lestari; Nur Alfi Ekowati; Sulistiyasni Sulistiyasni
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 1 (2024): JUTIF Volume 5, Number 1, February 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.1.1839

Abstract

Data analysis in research is an important thing to do after the research data is obtained. In designing a web application called Onti Measures, the files that have been executed have not been analyzed in more depth. Therefore, it is necessary to analyze the OWL (Web Ontology Language) files as test data for the Onti Measures application. This research aims to present a descriptive analysis of test data using three reasoners and compare their performance. The comparison of the three reasoners is seen based on running time, the performance of each reasoner, and the resulting inconsistency values. Those three reasoners are Hermit, JFact, and Pellet. In the Onti Measures application there are 10 inconsistency measures, namely drastic inconsistency measure, MI-inconsistency measure, MIc-inconsistency measure, Df-inconsistency measure, problematic inconsistency measure, incompatibility ratio inconsistency measure, MC-inconsistency measure, the nc-inconsistency measure, the mv-inconsistency measure, dan IDmcsinconsistency measure. The method used in this research is quantitative with a descriptive approach to analysis. The OWL fie input as test data is virus and disease ontology. The results of the descriptive analysis from this research include that 57.33% of the test data have an inconsistency value of 0 (consistent). Based on the performance of each reasoner in terms of processing ontologies, the three reasoners have almost the same capabilities. If it is seen from the resulting inconsistency values, the reasoner Pellet is better than the others. Meanwhile, based on the running time comparison, JFact is better than the other reasoners. The size of the ontology files does not affect the length of the running time.
THE EVALUATIONS FOR THE BACKEND OF ONTI MEASURES WITH BLACK BOX METHOD Nur Alfi Ekowati; Sulistiyasni Sulistiyasni; Ika Indah Lestari
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2089

Abstract

Inconsistency in an ontology can be a serious problem since it can mess up the information in the ontology. Ontology-based inconsistency measure gives inconsistency value of the whole base of the OWL ontology. It means the produced inconsistency value is used to evaluate its whole base. Based on this characteristic, there were 10 inconsistency measures created in the previous research and collected into one package of measures in an application program, namely Onti Measures. The application will not be useful if the measures do not work well. This problem leads to conduct evaluations. In this research, evaluations for the backend part of Onti Measures with the use of three kinds of OWL reasoners are done to know the performance of the application system with the comparison of each reasoner usage. The evaluations for the whole part of the application are not the scope of this research since they are only done for the backend part. Particularly, they are done with the black box method since the structure of the codes are not necessary to be known. They are evaluated with several OWL files as test cases and as the inputs of the backend program. The evaluation shows that the same inconsistent OWL file that is computed with a different type of inconsistency measure with any chosen reasoner may result in different inconsistency value. Other evaluations are provided. Overall, they show that Pellet is better than the two other reasoners and I_(D_f ) is more efficient than the other measures.
IMPLEMENTATION OF LOW-CODE PROGRAMMING TECHNOLOGY WITH AGILE METHOD IN DEVELOPING A PETTY CASH TRANSACTION MANAGEMENT APPLICATION (CASE STUDY: PT BANK CENTRAL ASIA TBK) Anin Ammbya Soulani; Nofiyati Nofiyati; Nur Alfi Ekowati
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.2303

Abstract

Conventional application development often faces challenges like extensive code writing, long development times, high costs, and difficulties in maintenance and customization. Low-code programming offers an innovative solution by minimizing manual coding and enabling application creation through visual interfaces and drag-and-drop logic. This research explains the application of low-code programming technology in developing a petty cash transaction recording application at PT Bank Central Asia Tbk, specifically in the Corporate Communication & Social Responsibility Division. The low-code approach allows for faster, more efficient, and easier-to-maintain application development. The research uses the agile method, covering plan, design, develop, test, deploy, review, and launch stages. This case study, using the OutSystems platform, shows significant benefits such as increased development time efficiency, ease of maintenance, and flexibility in meeting dynamic business needs. The developed application can be integrated into the company's existing IT environment, improving the accuracy of petty cash transaction recording and reporting, and providing easy user access. In conclusion, low-code programming technology proves to be an effective solution for developing complex business applications efficiently in terms of time and cost.
Co-Authors Anin Ammbya Soulani Atika ratna saridewi Dwi Prasetyo Ika Indah Lestari Ika Indah Lestari Khori Sahirul Alim Lutvi Riyandari Nandang Hermanto Nandang Hermanto Nofiyati Nofiyati Rianti Yunita Kisworini Sulistiyasni . Sulistiyasni Sulistiyasni Sunaryono Sunaryono Sunaryono Sunaryono Yusmedi Nurfaizal Yusmedi Nurfaizal