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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Teknikom: Teknologi Informasi, Ilmu Komputer dan Manajemen
Ika Indah Lestari
STMIK Widya Utama
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Mathematics Public Health

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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.
Analisis Aplikasi Temperature Control and Monitoring System Pada Akuarium Pendederan Ikan Gurame Berbasis Android Ika Indah Lestari; Muh. Akbar Setiawan; Singgih S. A.
Jurnal Teknologi Informasi, Ilmu Komputer dan Manajemen Vol 4 No 1 (2020): Teknikom Vol. 4 No. 1 Tahun 2020
Publisher : LPPM STMIK Widya Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1160.632 KB)

Abstract

This research aims to analyze the Application of Temperature Control and Monitoring System in the Android-based Gouramy Hatching Aquarium. This application was developed with the concept of the Internet of Things (IoT) to integrate data and connect all electronic devices to the internet network. While the webserver that we used is blynk.io. This application is evaluated on the aspects of product testing and benefit testing. Product testing is based on The Dimension of Quality for Goods which consists of Operation, Reliability and Durability, Conformance, Serviceability, Appearance, and Quality. The product test results obtained from the 6 attributes were 82.26%. This means that the products produced are of good quality. The benefits test covers the aspects of Useability, Learnability, Efficiency, and Acceptability. The results of the benefits test were obtained at 90.98% with the highest score in the Useability and Efficiency aspects of 98.75%. This shows that this application is useful for users, especially in terms of useability and efficiency.
EDUKASI DAN PRAKTIK PEMANFAATAN MEDIA INTERNET UNTUK MASYARAKAT BANYUMAS DI KELURAHAN PURWOKERTO KULON Muhammad Hery Santoso; Muhammad Akbar Setiawan; Singgih Briandoko; Ika Indah Lestari; Herni Utami Rahmawati
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2023): Volume 4 Nomor 3 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i3.17459

Abstract

Kegiatan pengabdian masyarakat adalah salah satu program wajib yang dilakukan oleh seorang dosen untuk menjalankan Tri Dharma Perguruan Tinggi. Melalui kegiatan tersebut seorang dosen dapat membantu memecahkan persoalan yang sedang dihadapi oleh msyarakat. Pada kegiatan pegabdian kali ini salah satu masalah yang ditemukan saat melakukan observasi oleh tim pengabdian adalah kurangnya pengetahuan tentang penggunaan komputer dan internet oleh sebagian masyarakat Banyumas yaitu anggota PKK dan sebagian remaja di Kelurahan Purwokerto Kulon, selain itu perlunya mengedukasi cara memanfaatkan dan menggunakan media internet untuk berbagai keperluan termasuk mencari informasi sesuai keperluan msing-masing pengguna serta mendapatkan pengetahuan tentang beretika dan memahami konsep umum agar bijak dalam menggunakan internet sehingga dampak yang ditimbulkan oleh teknologi internet tidak berakibat negatif bagi penggunannya.
Optimization of Software Effort Estimation Using Hybrid Consistent Fuzzy Preference Relation and Least Squares Support Vector Machine Ika Indah Lestari; Adnan Purwanto; Sulistiyasni Sulistiyasni; Khoem Sambath
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5465

Abstract

The success of software project management hinges on the ability to reliably forecast development effort. However, achieving precise estimates is notoriously difficult, primarily due to inherent project complexities and numerous uncertain variables. While various techniques exist, no single method has proven consistently reliable, leading to inaccurate scheduling and cost overruns. This study aims to develop a more accurate and robust estimation model by hybridizing a multi-criteria decision-making (MCDM) method for handling uncertainty with a machine learning algorithm for predictive modeling. The proposed approach integrates the Consistent Fuzzy Preference Relation (CFPR) method to derive consistent weights for cost drivers from expert judgments. These weights are then used as Effort Adjustment Factors (EAF) to preprocess the COCOMO and NASA datasets, which are subsequently modeled using the Least Squares Support Vector Machine (LSSVM). Evaluation of the hybrid CFPR-LSSVM model confirmed its enhanced predictive accuracy. For the COCOMO dataset, the model yielded an MMRE of 28.463% and an RMSE of 0.4705. Its performance on the NASA dataset was particularly remarkable, with results indicating an MMRE of 1.104% and an RMSE of 0.4593, demonstrating a level of precision that underscores the model's effectiveness. This research contributes a novel hybrid framework that effectively combines consistent fuzzy preference handling with powerful non-linear regression. By providing a more structured and robust methodology for managing uncertainty, this approach offers a substantial advancement in software effort estimation, delivering more reliable predictions for improved project planning. 
Co-Authors Adnan Purwanto Briandoko, Singgih Herni Utami Rahmawati Khoem Sambath Muh. Akbar Setiawan Muhammad Akbar Setiawan Muhammad Hery Santoso Nur Alfi Ekowati Singgih S. A. Sulistiyasni . Sulistiyasni Sulistiyasni