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Automated information retrieval and services of graduate school using chatbot system Rukhiran, Meennapa; Netinant, Paniti
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5330-5338

Abstract

Automated information retrieval and servicing systems are a priority demand system in today's businesses to ensure instantaneous customer satisfaction. The chatbot system is an incredible technological application that enables communication channels to automatically respond to end-users in real-time and 24 hours a day. By providing effective services for retrieving information and electronic documents continuously and automating the information service system, the coronavirus disease (COVID-19) is challenging to promote graduate school programs, update news, and retrieve student information in this era. This article discusses automated information retrieval and services based on the architecture, components, technology, and experiment of chatbots. The chatbot system's primary functions are to deliver the course and contact information, answer frequency questions, and provide a link menu to apply for our online course platform. We manage the entire functional process of gathering course information and submitting an application for a course online. The final results compare end users' perceptions of chatbot system usage to onsite services to ensure that the chatbot system can be integrated into the university's information system, supporting university-related questions and answers. We may expand our chatbot system's connection to the university's server to provide information services to students in various informative areas for future research.
Performance evaluation of route optimization management of producer mobility in information-centric networking Xian Wee Low; Yu-Beng Leau; Zhiwei Yan; Yong-Jin Park; Mohammed Anbar
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5260-5271

Abstract

Named data networking (NDN) is a network service evolving the Internet's host-based packet delivery model. The idea of NDN is to use named data for routing, which specifies what they are looking for, instead of using location addresses that determine where they expect it to be provided. This architecture is expected to solve many issues that are currently faced by transmission control protocol/internet protocol (TCP/IP) architecture, such as scalability, robustness, mobility, security, and etcetera. One of the problems is about handling producer mobility. Considering the explosion growth rate of Internet connection in public transport vehicles, this is a challenge that needs to be overcome. Therefore, we have proposed a new scheme called route optimization management of producer mobility (ROM-P) with new features such as distributing anchor points and caching by using the same data name and com-paring our previous scheme, efficient producer mobility support (EPMS). This paper shows the analysis result between the ROM-P and EPMS by using simulation. All simulations were conducted using ndnSIM 2.4 NS-3 based. Throughout the simulation ROM-P shows a promising development in better performing compares to EPMS.
Remote sensing and geographic information systems technics for spatial-based development planning and policy I Wayan Gede Krisna Arimjaya; Muhammad Dimyati
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5073-5083

Abstract

Indonesia's land-use and land-cover change (LULCC) is a global concern. The relocation plan of the capital city of Indonesia to East Kalimantan will be becoming an environmental issue. Knowing the latest land cover change modeling and prediction research is essential for fundamental knowledge in spatial planning and policies for regional development. Five articles related to integrated technology of geographic information systems (GIS) and remote sensing for spatial modeling were reviewed and compared using nine variables: title, journal (ranks), keywords, objectives, data sources, variables, location, method, and main findings. The results show that the variables that significantly affect LULCC are height, slope, distance from the road, and distance from the built-up area. The artificial neural network-based cellular automata (ANN-CA) method could be the best approach to model the LULCC. Furthermore, by the current availability of global multi-temporal and multi-sensor remote sensing data, the LULCC modeling study can be limitless
A survey and analysis of intrusion detection models based on information security and object technology - cloud intrusion dataset (ISOT-CID) Yassine Ayachi; Youssef Mellah; Mohammed Saber; Noureddine Rahmoun; Imane Kerrakchou; Toumi Bouchentouf
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i4.pp%p

Abstract

Nowadays society, economy, and critical infrastructures have become principally dependent on computers, networks, and information technology solutions, on the other side, cyber-attacks are becoming more sophisticated and thus presenting increasing challenges in accurately detecting intrusions. Failure to prevent intrusions could compromise data integrity, confidentiality, and availability. Different detection methods are proposed to tackle computer security threats, which can be broadly classified into anomaly-based intrusion detection systems (AIDS) and signature-based intrusion detection systems (SIDS). One of the most preferred AIDS mechanisms is the machine learning-based approach which provides the most relevant results ever, but it still suffers from disadvantages like unrepresentative dataset, indeed, most of them were collected during a limited period of time, in some specific networks and mostly don't contain up-to-date data. Additionally, they are imbalanced and do not hold sufficient data for all types of attacks, especially new attack types. For this reason, up-to-date datasets such as information security and object technology-cloud intrusion dataset (ISOT-CID) are very convenient to train predictive models on a cloud-based intrusion detection approach. The dataset has been collected over a sufficiently long period and involves several hours of attack data, culminating into a few terabytes. It is large and diverse enough to accommodate machine-learning studies. 
Relationship of Self-Confidence, Perception of Barriers, and Partner Support with Providing Reproductive Health and Sexuality Information from Parents to Adolescents Tanjung Anitasari Indah Kusumaningrum; Diah Laras Suci; Dini Wulandari
International Journal of Public Health Science (IJPHS) Vol 11, No 4: December 2022
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v11i4.21440

Abstract

Adolescence is a period of searching for identity that requires information on reproductive health and sexuality so as not to fall into premarital sexual behavior. Parents play an important role in providing reproductive health information to adolescents, but parents are often reluctant to provide this information due to lack of support, and lack of confidence in providing reproductive health information. The purpose of this study was to determine the most influential factors between partner support, perceived barriers, and self-confidence in adolescent reproductive health education. The research method used analytical observation with a cross sectional approach which was conducted online in June-August 2020 to 300 parents who have teenagers aged 15-19 years in Surakarta. The sampling technique is Double Sampling using a self-confidence, partner support, perceived barriers and behavior in providing reproductive health information questionnaire that has been tested for validity. Bivariate analysis was performed using chi square and multivariate analysis was performed using logistic regression test. The results showed that parents' self-confidence was the most influential factor in reproductive health education for adolescents (OR=3.052, CI=1.534-6.071). Parents who have low self-confidence tend not to provide comprehensive reproductive health information to adolescents. Lack of skills to explain the topic of sexuality to teenagers is one of the things that affects parents' self-confidence. The lack of knowledge of the material that will be given and the shame when conveying sexuality material also affects the self-confidence of the parents. Training efforts are needed for parents on how to provide information on reproductive health to adolescents.
EDUKASI KESEHATAN BERBASIS MODEL INFORMATION MOTIVATION BEHAVIOR SKILL MENINGKATKAN PENGETAHUAN DAN PERILAKU PERAWATAN ANTENATAL PADA IBU HAMIL RISIKO TINGGI Lestari, Kurniati Puji; Anggraini, Diah Ayu Putri; Sulistyowati, Dina Indrati Dyah; Jauhar, Muhammad
JAMBI MEDICAL JOURNAL "Jurnal Kedokteran dan Kesehatan" Vol. 10 No. 2 (2022): Special Issues: Jambi Medical And Health Sciences International Conference (JA
Publisher : FAKULTAS KEDOKTERAN DAN ILMU KESEHATAN UNIVERSITAS JAMBI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (231.611 KB)

Abstract

ABSTRACT Background: Maternal Mortality Rate (MMR) in the world and Indonesia increases every year due to four too late and three too late. Efforts that can be made are optimizing antenatal care checks so that the physical and psychological health of pregnant women is monitored. Health education based on the Information Motivation Behavior Skill model about delivery planning programs and prevention of complications using media is expected to be an alternative intervention in reducing MMR in Indonesia. This study aims to identify the effect of health education based on the Information Motivation Behavior Skill model on knowledge and behavior of antenatal care for high-risk pregnant women. Methods: The research design used a quasi-experimental pretest and posttest with control group. The research sample consisted of 16 high-risk pregnant women for each intervention and control group through purposive sampling technique. The research instrument used an antenatal care knowledge and behavior questionnaire. The research was conducted in the working area of ​​the Ngesrep Public Health Center, Semarang City. Data analysis used paired t-test and independent t-test. The research has passed the ethical test from the Research Ethics Committee of the Health Polytechnic of the Ministry of Health Semarang No. 017/EA/KEPK/2021. Results: There is an effect of health education based on the Information Motivation Behavior Skill model on knowledge (p value = 0.002) and antenatal care behavior of high-risk pregnant women (p value = 0.023). Modification of health education can be used to increase knowledge and behavior of antenatal care. Conclusion: The Information Motivation Behavior Skill-based health education model can be integrated with maternal health services in primary health care facilities. Keywords: antenatal care, health education, high risk pregnant women, information motivation behavior skills, knowledge, behavior ABSTRAK Pendahuluan: Angka Kematian Ibu (AKI) di dunia dan Indonesia meningkat setiap tahun disebabkan oleh empat terlalu dan tiga terlambat. Upaya yang dapat dilakukan yaitu optimalisasi pemeriksaan perawatan antenatal sehingga kesehatan disik dan psikologis ibu hamil termonitoring. Edukasi kesehatan berbasis model Information Motivatin Behavior Skill tentang program perencanaan persalinan dan pencegahan komplikasi menggunakan media diharapkan menjadi intervensi alternatif dalam menurunkan AKI di Indonesia. Penelitian ini bertujuan untuk mengidentifikasi pengaruh edukasi kesehatan berbasis model Information Motivation Behavior Skill terhadap pengetahuan dan perilaku perawatan antenal ibu hamil risiko tinggi. Metode: Desain penelitian menggunakan quasi-eksperimen pretest and posttest with control group. Sampel penelitian sebanyak 16 ibu hamil risiko tinggi untuk masing-masing kelompok intervensi dan kontrol melalui teknik purposive sampling. Instrumen penelitian menggunakan kuesioner pengetahuan dan perilaku perawatan antenatal. Penelitian dilakukan di wilayah kerja Puskesmas Ngesrep Kota Semarang. Analisis data menggunakan paired t-test dan independent t-test. Penelitian telah lolos uji etik dari Komite Etik Penelitian Poltekkes Kemenkes Semarang No. 017/EA/KEPK/2021. Hasil: Terdapat pengaruh edukasi kesehatan berbasis model Information Motivation Behavior Skill terhadap pengetahuan (nilai p = 0.002) dan perilaku perawatan antenal ibu hamil risiko tinggi (nilai p=0.023). Modifikasi edukasi kesehatan dapat digunakan untuk meningkatkan pengetahuan dan perilaku perawatan antenatal. Kesimpulan: Model edukasi kesehatan berbasis Information Motivatin Behavior Skill dapat diintegrasikan dengan pelayanan kesehatan ibu di faslitas layanan kesehatan primer. Kata kunci: antenatal care, edukasi kesehatan, ibu hamil risiko tinggi, information motivaton behavior skill, pengetahuan, perilaku
Aplikasi Remote Sensing dan Geographic Information System Untuk Monitoring Perubahan Penggunaan Lahan Dalam Menunjang LP2B Di Subak Intaran Barat, Kota Denpasar SISKA MAILASARI; NI MADE TRIGUNASIH; INDAYATI LANYA
Agrotrop : Journal on Agriculture Science Vol 12 No 1 (2022)
Publisher : Fakultas Pertanian Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/AJoAS.2022.v12.i01.p02

Abstract

Remote Sensing and Geographic Information System Aplication For Monitoring Land Use Change In Supporting LP2B In Subak Intaran Barat, Denpasar City. Subak Intaran Barat is one of 41 subak in Denpasar City which has been designated as Sustainable Subak and agro-ecotourism and is recommended as a Sustainable Food Agricultural Land area. This study aims to create a thematic map of changes in paddy land use in 2012 and 2018, a map of paddy land ownership, and compile an information system of Land Resources (SDL), Artificial Resources (SDB), and Agricultural Resources (SDP). This research method, namely: analysis of satellite images, surveys and mapping. The stages of this research are: literature study, interpretation of satellite images, field surveys and interviews, reinterpretation of satellite images, mapping and compilation of attribute data for SDL, SDB, SDP, and land ownership. Changes in land use for 6 years (2012-2018) in the West Intaran subak covering an area of 8.9 acres. The number of Subak farmers is 76 people. The status of the owner is 6 people with a land area of 6.85 acres (8.00%) and 70 smallholders with a land area of 79.55 acres (92%) who come from Sanur Kauh Village. Land resources found in Subak Intaran Barat are: irrigation canals (5,120 m), jogging track (1,960 m), rainfall 1500-2000 mm/year, slope 0-2%, soil type Typic Tropaquepts Isohiptermic, rice crop rotation patterns, horticulture-rice.
Aplikasi Remote Sensing dan Geographic Information System untuk Pemetaan Potensi Obyek Daya Tarik Wisata di Desa Adat Batur Kecamatan Kintamani, Bangli HARTATI TRI TUNGGAL JAYANTI; INDAYATI LANYA; I GUSTI PUTU RATNA ADI
Agrotrop : Journal on Agriculture Science Vol 12 No 1 (2022)
Publisher : Fakultas Pertanian Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/AJoAS.2022.v12.i01.p04

Abstract

Remote Sensing Application and Geographic Information System for Mapping Potential Tourist Attractions in Batur Traditional Village, Kintamani District, Bangli. Batur Village of Kintamani is the region defined as the National Tourism Strategic Area according to the Bali Provincial Regulation No. 16 of 2009. Batur Village consist of three Villages Department namely North, South, and the Central Batur Village. Not all Tourist Attraction are well-organized, as in the North Batur Village they don’t yet have a tourist attraction, different from the Central and South Batur Village of Mount Batur, Lake Batur and the Batur Temple has evolved and exist. The level of development of the tourism potential can be categorized to determine the factors supporting and inhibiting factors. Applications of Remote Sensing and GIS in the form of satellite worldview 1: 25.000 in 2020 Kintamani and software QGIS 3.10 was used as aims to update the database, mapping the location, the type attraction and the potential Tourism Attraction in the Village of Batur refers to the ACT No. 10 of 2009 in Article 7 as the four parameters (destination, industry, marketing and institutional) was weighted and score numerically and recommend strategies development of tourism in Batur Village. Based on the results 15 Tourist Attractions (TA) with 10 natural attractions, 2 religious tourism, 1 science tourism and 2 agro tourism located in Central and South Batur, there are 5 classes of potency (TA) very high, high medium, low and very low. The strategy, namely marketing with tour packages, makes WEBGIS to facilitate information for tourists who want to visit and provide regulations on abuse of buildings, landslides and pollution.
Klasifikasi Berita Hoaks Covid-19 Menggunakan Kombinasi Metode K-Nearest Neighbor dan Information Gain
JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) Vol 10 No 4 (2022): JELIKU Volume 10 No 4, May 2022
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.2022.v10.i04.p02

Abstract

News is one of information resources that is being used by the public. However, not all news circulating in digital media are facts. Some people take the opportunity to share unfounded and irresponsible news. Since the Covid-19 pandemic hit Indonesia, hoax news about the pandemic has increasingly circulated in digital media. In this study, the author builds a model that can classify hoax news using the K-Nearest Neighbor method combined with the Information Gain feature selection. The data used are factual news data and hoax news data in Indonesian language. Evaluation is done by measuring the performance of the K-Nearest Neighbor model without feature selection and model performance by implementing Information Gain feature selection. The K-Nearest Neighbor model without feature selection with a value of k=5 obtained precision, recall, F1-Score, and accuracy performance of 87.5%, 96.5%, 91.8%, and 91.6%, respectively. While the K-Nearest Neighbor model with a combination of 0.5% Information Gain threshold feature selection with a value of k=3 obtained precision, recall, F1-Score, and accuracy performance of 93.3%, 96.6%, 95%, and 95%, respectively.
Front Matter (Title Page, Table of Contents, General Information, and Editorial Team) Rina Setiana
Jurnal Keperawatan Indonesia Vol 25, No 1 (2022): March
Publisher : Faculty of Nursing Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7454/jki.v25i1.2337

Abstract

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