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Performance of multivariate mutual information and autocorrelation encoding methods for the prediction of protein-protein interactions Alhadi Bustamam; Mohamad Irlin Sunggawa; Titin Siswantining
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i2.pp773-786

Abstract

Protein interactions play an essential role in the study of how an organism can be infected with a disease and also its effects. One of the challenges in computational methods in the prediction of protein-protein interactions is how to represent a sequence of amino acids in a vector so that it can be used in machine learning to create a model that can predict whether or not an interaction occurs in a protein pair. This paper examined the qualitative feature encoding methods of amino acid sequence, namely, multivariate mutual information (MMI), and the quantitative feature encoding methods, namely, autocorrelation. We develop the new design for MMI and autocorrelation feature encoding methods which give better results than the previous research. There are four ways to build the MMI method and six ways to build the autocorrelation method that we tested. We also built four types of MMI-autocorrelation (mixed) method and look for the best form of each type of MMI, autocorrelation, and mixed-method. We combine these feature encoding methods with support vector machine (SVM) as machine learning methods. We also test the encoding methods we propose to several machine learning classifier methods, such as random forest (RF), k-nearest neighbor (KNN), and gradient boosting.
Study of NTF-3 (Neurotrophic Factor 3) Gene Information in Columbidae by In Silico Suprianto, S.; Budiarsa, I Made; Dhafir, Fatmah; Permatasari, Ni Kadek Dewi; Safitri, Gusti Ayu Kadek Yunita
BERKALA SAINSTEK Vol 9 No 3 (2021)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v9i3.24163

Abstract

Neurotrophin Factor 3 (NTF3) is one of the genes that plays an important role in the regulation of the neural systems of vertebrate animals, this gene has a special function in explaining the survival factors of some vertebrate animals. Based on the information obtained from GenBank, the nucleotide sequence of the NTF-3 gene in several vertebrate animals has been known and some of the data obtained have not been studied further for research purposes in adding information related to the molecular character of the NTF-3 gene, such as the NTF-3 gene in Columbidae. Columbidae is a group of birds that have quite diverse species variations, the number of species in columbidae will be very helpful in obtaining data on comparisons of the genetic character of the NTF3 gene. The purpose of this study was to analyze and describe the information on the NTF-3 gene (Neurotrophic Factor 3) in Columbidae through the in silico approach with computational methods. The NTF3 gene nucleotide sequences in Columbidae showed a fairly high level of similarity to the base sequences. This illustrates the fairly close proximity between each species. Geotrygon Montana is a species of Columbidae which has variations of the Base sequence which is quite different from other species. Evaluation of the model structure shows good stability of each target protein, all evaluation results describe a good structure, meaning that the conformation of each target sequence is in accordance with the sequence, so that the structure that is built has high accuracy with the actual model. The results of this research study can be a special description in explaining the genetic characteristics of several Columbidae species for the purposes of conservation measures or efforts to preserve Columbidae species at the molecular and population genetic levels.
Predicting the sharing and reception of COVID-19-related information on social media Aurelius Ratu; Endang Susilowati; Sukriyah Kustanti Moerad
International Journal of Public Health Science (IJPHS) Vol 11, No 3: September 2022
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v11i3.21117

Abstract

In a health crisis, social media is one of the primary means of disseminating and receiving information. Nevertheless, questions remain regarding what facilitates individual engagement in sharing or receiving information in the context of COVID-19, specifically for the Indonesian context. Analysis of a questionnaire survey among 255 from the random population of Indonesian showed that sharing information is predicted by gender and education. There was no significant relationship between social-demographic and receiving information. For psychosocial characteristics, personal risk perception predicted receiving information, while sharing information was predicted by societal risk perception. Societal risk perception and self-efficacy interacted with each other to predict the sharing of COVID-19-related information. One of the findings indicated a socio-cultural feature through which is considered to play an important role in personal and societal risk perception when sharing or expressing information. Given the benefits of social media communication during this pandemic, this study suggested that governments and policymakers should pay closer attention to a local community that is more effective in keeping everyone safe. Unfortunately, on another side, social media provides less information about narratives, storytelling, and empathy to maintain public trust.
The impact of Google Classroom to increase students’ information literacy Citra Ayu Dewi; Muhali Muhali; Yeti Kurniasih; Diah Lukitasari; Abdul Sakban
International Journal of Evaluation and Research in Education (IJERE) Vol 11, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v11i2.22237

Abstract

Information literacy at the higher education level is very important because it tends to be problematic in fostering students' critical thinking skills, including awareness, collection, understanding, analysis, synthesis, and the use of information and their attitudes to the treatment of information at the university level. This study examined the effects of the online learning Google Classroom in enhancing information literacy among students. This study observed a one-group pretest-posttest experimental design. This research involved 65 students from the Chemistry Course under the Biochemistry Program. The instrument used to assess students’ information literacy consist of fair set of multiple-choice questions. The test was found to be very valid at 4.22% and highly reliable at an alpha level of 0.86. The findings of this research showed that the information literacy of students improved before and after their learning exposure using Google Classroom based on the descriptive and inferential statistics. Moreover, the students' attitude towards the online platform shows that they are more willing to learn using Google Classroom than the non-online or conventional learning platforms. Therefore, applying Google Classroom in online learning is effectively boost students’ information literacy.
DESIGN AND IMPLEMENTATION OF TELEGRAM BOT FOR INTEGRATED HOSPITAL INFORMATION SYSTEM Sudana, Oka; Paramartha, Ary; Wirdiani, Ayu; Rusjayanthi, Dwi
JST (Jurnal Sains dan Teknologi) Vol 11, No 1 (2022)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jst-undiksha.v11i1.41304

Abstract

Hospitals with the work complexity level in it require an information system to help solve their problems. Each part of the hospital requires a different module. The module needs to integrate so that the data exchange flow becomes easier. The use of internet messengers, such as Telegram, can simplify the integration process required, thereby users can easily get information from the system. This article explained how to design bots on the Telegram platform to help users acquire information from the system easily. This Telegram Bot used the help of Cronjobs and Webhooks to retrieve information and execute messaging commands for the Telegram Bot. The results shown in this research were Telegram Bots designed to be tested using the User Acceptance Test (UAT) with very positive response results and are considered successful
Identifikasi Lokasi Potensial Panen Air Hujan Menggunakan Indeks Kesesuaian Embung dan Sistem Informasi Geografi di Provinsi Jawa Timur Indonesia: Identification of Locations for Potential Rainwater Harvesting Using the Conformity Index of Embankments and Geographic Information Systems in East Java Province, Indonesia I Putu Santikayasa; Mauludiyyatus Syarifah; Muh Taufik
Jurnal Teknik Sipil dan Lingkungan Vol. 6 No. 3: Desember 2021
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.6.3.187-204

Abstract

Increasing population has an impact on increasing food supply to fulfil the requirement of the community. Increasing in food supply is able to be achieved by increasing the agricultural productive area. Low-water agricultural technology is one of technology can be applied in the development of agricultural areas with sufficient water availability. But on the other hand, water harvesting technology using pond is one approach in the development of agricultural land in dry areas. This study uses a geographic information system (GIS) approach to identify areas that have high potential for the development of water harvesting ponds in East Java Province, Indonesia. GIS approaches is used for spatial analysis in calculating the area potential index for the ponds deveopment based on climate, physical surface and vegetation indicators. This index is calculated based on indicators, each of which is obtained from the surface parameter data. The results of the study show that the East Java Province is categorized as the "very suitable" and "appropriate" areas on water harvesting ponds suitability by 55% and 23%, respectively. This results show that the potential of the East Java area for developing water harvesting pond is very high about 78% compared with the entire region. On the other hand, locations that is categorized as "not suitable" and "very inappropriate" are about 8.7% and 9.2% compared with total area of ​​East Java Province. Iit can be concluded that climate, physical surface and vegetation indicators are very important in determining the locations of water harvesting ponds development in East Java Province.
Aplikasi Akaike Information Criterion (AIC) pada Perhitungan Efisiensi Teknis Perikanan Pukat Cincin di Tuban, Jawa Timur Ledhyane Ika Harlyan; Eko Sulkhani Yulianto; Yulis Fitriani; Sunardi
Marine Fisheries : Journal of Marine Fisheries Technology and Management Vol. 11 No. 2 (2020): Marine Fisheries: Jurnal Teknologi dan Manajemen Perikanan Laut
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmf.v11i2.38550

Abstract

ABSTRAK Perikanan pukat cincin di Tuban memiliki kontribusi yang tinggi dalam menciptakan variasi hasil tangkapan. Hal ini disebabkan oleh beragamnya metode pengoperasian yang digunakan yang tergambar pada empat faktor produksi yaitu ukuran kapal, jarak daerah penangkapan ikan, jumlah trip dan jumlah anak buah kapal (ABK) yang diambil dengan metode wawancara kepada 60 responden. Metode Akaike Information Criterion (AIC) merupakan metode analisis yang digunakan memperoleh model faktor produksi yang terbaik dengan menggunakan estimasi maximum likelihood sebagai perhitungan yang sesuai. Penelitian ini bertujuan untuk mengetahui model produksi terbaik dengan menggunakan AIC sehingga diperoleh hasil tangkapan yang optimal. Hasil penelitian menunjukkan bahwa jumlah trip merupakan variabel penentu kuantitas hasil tangkapan. Sinkronisasi informasi jumlah trip optimal dan ketentuan upaya penangkapan yang diperbolehkan dapat dijadikan dasar pengelolaan perikanan perikanan pukat cincin di Tuban. Kata Kunci: faktor produksi, ukuran kapal, jarak DPI, jumlah trip, jumlah ABK
INFORMATION AND COMMUNICATION TECHNOLOGY: MENDORONG EFISIENSI KINERJA AUDITOR SELAMA PANDEMI COVID-19 Nabila, Khansaa; Sasmita, Maulidya Eka; Adawiyah, Robbiatul; Putri, Dhika Maha
EL MUHASABA: Jurnal Akuntansi (e-Journal) Vol 13, No 1 (2022): EL MUHASABA
Publisher : Jurusan Akuntansi Fakultas Ekonomi Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/em.v13i1.12165

Abstract

The evolution of information technology is going rapidly, supported by the COVID-19 pandemic where all activities related to face-to-face and gathering activities are limited. Many companies already have implemented ‘work from home’ policies for their employees, including auditors. Responding to this phenomenon, many companies have finally changed the auditor’s work system by applying remote audit techniques based on the use of ICT tools.The application of Information and Communication Technology (ICT) will minimize direct contact, and also reduce audit. The purpose of this study is to examine the effectiveness and efficiency of auditor's performance by applying remote audit techniques using ICT. In this study uses a qualitative approach. By to obtain a depth understanding of the object of research related to the existing problems such as the risks and  to find out whether the application of ICT in remote audit techniques is effective and efficient when it’s carried out during a pandemic. A literature study is employed to assess the efficiency of ICT performance in remote audit techniques. The results of this study indicate that the application of ICT in supporting the remote audit process during the Covid-19 pandemic is the best way. However, we should still paying attention to the appropriateness of the devices, the signal, and data security protection so that the evidences provided by the auditee to the auditors are remains usable and reliable.
EEG power spectral analysis and saccadic eye movement for true and false information Elvina Febriyani Chandrawijaya; Ananta Yudiarso; Yusti Probowati Rahayu
Jurnal Ilmiah Psikologi Terapan Vol. 10 No. 1 (2022): January
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (255.773 KB) | DOI: 10.22219/jipt.v10i1.16246

Abstract

The purpose of this study was to examine the differences between the electroencephalography (EEG) power spectral analysis and saccadic eye movements (SEM)’s the response toward true and false information. The research method was conducted using an experimental design with true and false autobiographical information as stimuli. There were23 female participants aged between 19-24 years old (M=21,45; SD=1,5). The results showed a significant difference in the number of SEM between false information and true information. The EEG power is greater in the frontal, temporal and central areas for false information. Interestingly, we found a correlation between EEG power and SEM in detecting true and false information. Our result findings indicated evidence of multimodality by combining electroencephalography (EEG) and saccadic eye movement (SEM) to dissociate false and true information responses. The distinct dissociative process between true and false information can be used for memory studies and developing lie detectors.
Does Financing Decision-Making by Regional Government-Owned Syariah Banks Depend on Financial-Information Quality and Managers' Characteristic? Eka Hasnita Putri; Yossi Diantimala; Mulia Saputra
Jurnal Reviu Akuntansi dan Keuangan Vol. 11 No. 3: Jurnal Reviu Akuntansi dan Keuangan
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1008.565 KB) | DOI: 10.22219/jrak.v11i3.18444

Abstract

This study examines the impact of financial information quality on managers’ financing decision-making. It also investigates the role of managers’ characteristics – educational background, gender, and working period – on the relationship between the quality of financial statement information and financing decision-making. The samples were finance managers at Bank Aceh Syariah, a Syariah bank owned by the regional government in Aceh, consisting of 24 finance managers at the branch offices and 86 finance managers at sub-branches that spread throughout Aceh. The data was obtained by using a questionnaire distributed using google form. A multivariate analysis was used to test the hypothesis. The results showed that the quality of financial statement information has a positive effect on financing decisions. It becomes the basis for managers in making financing decisions in Islamic banks owned by local governments. Managers’ characteristics do not influence financing decisions and do not strengthen or weaken managers in making financing decisions based on financial statements. The result confirms hypothesis 1, however, it does not support any other hypotheses regarding finance managers’ characteristics. Therefore, it is suggested for future research to broaden and compare the characteristics of finance managers of national Islamic banks in Indonesia and Islamic banks from other countries to capture comprehensive results.

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