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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal EECCIS JOIV : International Journal on Informatics Visualization Journal of Environment and Sustainability Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Window of Health : Jurnal Kesehatan JSAI (Journal Scientific and Applied Informatics) Jurnal Teknik Informatika (JUTIF)
Arie Vatresia
Program Studi Teknik Infomatika, Fakultas Teknik, Universitas Bengkulu.
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Medicine & Pharmacology Nursing Public Health

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Resort Based Management Web GIS Towards Cyber Conservation in Indonesia Vatresia, Arie; Sadler, Jonathan P.; Rais, Rendra Regen
Sustinere: Journal of Environment and Sustainability Vol 1 No 1 (2017): pp. 1 - 62 (June 2017)
Publisher : Centre for Science and Technology, IAIN Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (850.13 KB) | DOI: 10.22515/sustinere.jes.v1i1.3

Abstract

Biodiversity loss is a global issue and is especially of pressing concern in mega diverse countries, such as Indonesia. To prevent any further catastrophe, the Ministry of Forestry and Environment of Republic of Indonesia has been promoting the resort based management to be implemented in Indonesia to maximize the performance of conservation activity. The lack of data standardization made it hard to organize and manage archipelagic country that consist 17,504 islands with no technology provision in most of them. In this paper we develop a framework of integration mobile-web technology for biodiversity and conservation in Indonesia. We introduced a new framework to maintain the biodiversity and conservation data in Indonesia.
ANALISA SISTEM INFORMASI REPOSITORY PADA UPT PERPUSTAKAAN UNIVERSITAS BENGKULU DENGAN COBIT 5 Vatresia, Arie; Utama, Ferzha Putra; Febrianti, Tiara E; Johar, Asahar
JSAI (Journal Scientific and Applied Informatics) Vol 4, No 1 (2021): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v4i1.1206

Abstract

Kemajuan disetiap bidang usaha tak lepas dari teknologi sebagai penunjangnya, terutama teknologi informasi [1][2]. Akan tetapi hal tersebut harus dimbangi dengan adanya sebuah evaluasi ataupun audit terhadap sistem informasi sehingga ancaman atau kerugian dapat dihindari[3][4][5]. Penelitian ini bertujuan untuk mengetahui sejauh mana kinerja sistem informasi repositori yang ada di UPT Perpustakaan Universitas Bengkulu  sebagai layanan publik yang telah diterapkan pada Universitas Bengkulu. Dari penelitian ini diharapkan dapat memberikan  rekomendasi tata kelola inovasi setelah mengetahui kesenjangan antara tatakelola saat ini dengan tatakelola yang diharapkan  sesuai dengan framework yang digunakan. Framework  yang digunakan dalam penelitian ini adalah COBIT versi 5 khusus pada domain Deliver and Support (DS) [1][6][7]. Teknik pengumpulan data yang dilakukan   oleh penulis yaitu dengan studi literatur, observasi, wawancara dan kuisioner [8][9][10]. Hasil dari penelitian ini adalah untuk mengetahui tingkat kematangan (maturity level) pada implementasi sistem informasi repository  khusus pada Domain DS, yaitu berada pada level 4 yang berarti sudah terukur dan terintegrasi antar proses yang berlangsung. Dan analisa GAP antara kondisi yang diharapkan dengan kondisi saat ini rata-rata sebesar 0,6.
Deforestation Analysis in Taba Penanjung District with NDVI Vatresia, Arie; Utama, Ferzha Putra; Rais, Rendra Regen; Prasetyo, Bimo
Computer Engineering and Applications Journal Vol 11 No 1 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (640.698 KB) | DOI: 10.18495/comengapp.v11i1.396

Abstract

Forests are cleared to expand residential areas and plantations or change the allocation of forest land to non-forest (deforestation). This study aims to create a map of the condition of the forest area and find out the areas affected by deforestation and determine the rate of change in the forest area in the Taba Penanjung District forest area. First data on Landsat 8 images geometric correction performed to position image data so that it matches the actual coordinates and performing Radiometric Correction is used to correct if an error or distortion occurs due to imperfect operation and sensors. NDVI Method is the method used for comparing the greenness of vegetation in satellite imagery, which uses band 4 (Red) and band 5 (NIR), which is processed by ArcMap software. The results of this study produced a map of the condition of forest areas and the area of land affected by deforestation. Forest turn-over rates were described in the annual trend from 2013 to 2018. Furthermore, this research shows that deforestation in the Taba Penanjung district has happened in 58% of the total area of 23,747 ha. Although the deforestation has decreasing value in 2015 by 1.6%, it showed that there were increasing values in deforestation rate in 2014, 2016, 2017 by 1.4%, 1.9%, and 9.5% respectively from the total area of 23,747 ha.
Analisis Manajemen Layanan TI pada Kebangkrutan E-commerce jd.id Menggunakan Kerangka Kerja Infrastructure Technology Information Library (ITIL v3) Anggriani, Kurnia; Ferzha Putra Utama; Okta Piani, Sri; Vatresia, Arie; Bismantolo, Putra
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6348

Abstract

E-commerce has recently become a place that is in great demand by consumers to shop. In general, e-commerce is a term used to describe the sale of goods and services via the internet. Among the many e-commerce services in Indonesia, one of them is JD.id. This research aims to look at the IT services used by JD.id previously by looking at the processes of domain service operations with the ITIL V3 framework and finding out the extent of management of the IT services used by JD.id before JD.id closed. The method used in this research is a quantitative descriptive method and the assessment of the results of this research is based on the answers to the questionnaire given to respondents using a Likert scale. The sample taken was 100 people who were JD.id users. The data sources obtained in this research are primary data and secondary data. The data analysis carried out was calculating the Maturity Level of the Service Operation subdomain. The results of the research obtained the lowest value, namely the problem management variable with a value of 3.70, meaning that the JD.id marketplace is still not very optimal in terms of preventing incidents from occurring and there is no permanent improvement process and is not very optimal in terms of continuous service improvement. However, the overall maturity level (Maturity Level) on average is at level 4 with a score of 3.97 this means that the IT service processes in the JD.id marketplace have been planned and implemented well and consistently, but automation with the information technology tools used is limited.
Time Series Modeling of Disease Occurrence Patterns with SARIMA (Seasonal AutoRegressive Integrated Moving Average) Vatresia, Arie; Utama, Ferzha
Window of Health : Jurnal Kesehatan VoL 6 No 2 (April 2023)
Publisher : Fakultas Kesehatan Masyarakat Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/woh.vi.739

Abstract

Disease is a human health problem. In overcoming existing health problems, predictive analysis is needed to help overcome them early and plan to prevent and control these diseases. This study aims to determine the prediction of disease time patterns in health data modeling at Argamakmur Hospital. By knowing existing disease patterns, information can be provided based on time series patterns. The prediction of this time series pattern uses time series analysis with a seasonal pattern, which takes all possible data for existing patterns to predict and analyze time series to obtain a predictive model. This study uses time series analysis to model seasonal autoregressive integrated moving averages. The results obtained are predictions for the next six months from the best model obtained, namely: data Typhoid Fever disease ARIMA (1.1,1) increased by 3.08%, data Gastroenteritis disease ARIMA(1,0,1) increased 0.51%, data Dyspepsia data ARIMA (0,1,2) increased by 0.55%, data Acute Anemia disease ARIMA(1,0,2) decreased by 0.4%, data bronchopneumonia disease ARIMA(1,0,1) decreased by 0.58%, data for acute diarrhea disease ARIMA(1,0,1) increased 0.2%, data for vertigo ARIMA(1,0,2) decreased 0.64%, data for stroke ARIMA(1,1,1) decreased 0.28%, data tumor ARIMA(1,0,1) decreased 1%, data on asthma ARIMA(1,0,1) decreased 0.21%, data DM disease ARIMA(1,0,1) decreased by 0.47%, and data Pulmonary TB disease ARIMA(1,0,1) decreased by 0.14%. Based on these results, it is suggested that the hospital be advised to increase awareness of Typhoid Fever, gastroenteritis, and Dyspepsia.
Spatial Interpolation Long-Term Patterns Capacity of Solar Energy in Sumatera Vatresia, Arie; Utama, Ferzha Putra; Daratha, Novalio; Lestari, Etika Dwi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 3, August 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i3.1929

Abstract

Indonesia possesses considerable capacity for renewable energy as a result of its plentiful natural resources, including geothermal, solar, wind, hydro, and biomass. However, the nation's existing energy composition is predominantly dependent on non-renewable resources, with fossil fuels constituting approximately 95% of its overall energy consumption. Recently, Indonesia has made notable advancements in augmenting its renewable energy output in years. Nevertheless, there is still obscurity about the identification of suitable regions for the installation of solar power plants in order to facilitate the development of solar energy. This study employed a methodology to investigate and forecast the solar energy potential in Sumatra, Indonesia. The data utilized consists of MERRA-2 reanalyzing information spanning from 1980 to 2019, collected on a daily basis. The data is analyzed and shown using Inverse Distance Weighting and ARIMA techniques to visualize the spatial variation of solar energy potential in Sumatra. ARIMA is employed as a supplementary method to the interpolation technique in order to get long-term projections of solar energy potential for the period spanning from 2020 to 2029. The analysis of the best interpolation method for estimating solar energy potential reveals that the IDW approach with a power of 5 yields the most accurate findings, with an RMSE value of 28.33. For long-term prediction of solar potential in Aceh province, the ARIMA (1,0,0) method is recommended, which has a MAPE value of 0.0219. The findings indicated that Lampung and Bengkulu frequently experience the distribution of solar energy with an intensity ranging from 1400 to 1450 kWh. In addition, the forecast of the potential over Sumatera Island yielded encouraging results using the GAM model, with a root mean square error rate of 0.05103.
Comparison of Convolutional Neural Networks Transfer Learning Models for Disease Classification of Food Crop Faurina, Ruvita; Rahma, Silvia; Vatresia, Arie; Susanto, Agus
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.1936

Abstract

Indonesia is an agricultural country with 29% of the workforce working in the agricultural sector, however, farmers' knowledge and practices depend on informal local wisdom based on inherited past practices. Moreover, identifying diseases in plants is difficult to do with human vision so that intelligent technology is needed.  In this paper, an architecture of CNN models such as MobileNetV2, ResNetV50, InceptionV3 and DenseNet121 will be built to detect diseases based on leaf images of several crops obtained from the agroai dataset containing multiple crops namely bean, chili, corn, potato, tomato and tea. The model is used through transfer learning for feature extraction of the trained model with imagenet weights, with 4 fully connected layers. Each model for each crop will be compared to get the best model based on the accuracy of training, evaluation and testing. ResNet50 has the best performance for four type of plants, including bean plants with training accuracy of 99.49%, validation of 99.52%, testing of 98.96%, chili plants with training accuracy of 98.03%, evaluation of 98.75%, testing of 100%, tea plants with training accuracy of 99.62%, evaluation of 99.6%, testing of 99.74% and tomato plants with training accuracy of 99.62%, validation of 99.7%, testing of 99.37%. Moreover, MobileNetV3 has the best performance for 2 types of crops that is corn with training accuracy of 99.22%, validation of 99.69%, testing of 99.55%, and potato with training accuracy of 99.62%, evaluation of 99.60%, testing of 99.74%.
Deforestation Analysis in Taba Penanjung District with NDVI Vatresia, Arie; Utama, Ferzha Putra; Rais, Rendra Regen; Prasetyo, Bimo
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 1 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Forests are cleared to expand residential areas and plantations or change the allocation of forest land to non-forest (deforestation). This study aims to create a map of the condition of the forest area and find out the areas affected by deforestation and determine the rate of change in the forest area in the Taba Penanjung District forest area. First data on Landsat 8 images geometric correction performed to position image data so that it matches the actual coordinates and performing Radiometric Correction is used to correct if an error or distortion occurs due to imperfect operation and sensors. NDVI Method is the method used for comparing the greenness of vegetation in satellite imagery, which uses band 4 (Red) and band 5 (NIR), which is processed by ArcMap software. The results of this study produced a map of the condition of forest areas and the area of land affected by deforestation. Forest turn-over rates were described in the annual trend from 2013 to 2018. Furthermore, this research shows that deforestation in the Taba Penanjung district has happened in 58% of the total area of 23, 747 ha. Although the deforestation has decreasing value in 2015 by 1.6%, it showed that there were increasing values in deforestation rate in 2014, 206, 2017 by 1.4%, 1.9%, and 9.5% respectively from the total area of 23, 747 ha.
Optimal Phase Selection Of Single-Phase Appliances In Buildings Using String-Coded Genetic Algorithm Daratha, Novalio; Vatresia, Arie; Santosa, Hendy; Agustian, Indra; Suryadi, Dedi; Gupta, Neeraj
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4603

Abstract

Phase imbalance in buildings, primarily caused by single-phase loads and generation, leads to increased neutral current, voltage imbalance, reduced energy efficiency, and potential equipment damage. To address these challenges, an optimal phase selection method is proposed for single-phase loads and generation. This method integrates integer programming with a string-coded genetic algorithm (GA). The GA employs string encoding to represent phase connections. Initially, a Mixed Integer Programming (MIP) solver identifies an initial solution, which is subsequently transformed into a string to initialize the GA’s genes. Subsequently, the GA executes standard operations such as mutation, crossover, evaluation, and selection. Case studies demonstrate the efficacy of this method in achieving substantial load balancing. Notably, the identification of multiple solutions with identical objective function values renders this approach suitable for smart buildings equipped with energy management systems that participate in ancillary services between low-voltage and medium-voltage networks. This research pertains to the domains of computer science, power engineering, and energy informatics.
Automation Mangrove Identification with Case Based Reasoning Process Vatresia, Arie; Johar, Asahar; Regen, Rendra; Kennedy, John
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 16 No. 2 (2022)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v16i2.1470

Abstract

Mangroves are ecosystems with unique functions in the environment. Because of its physical properties, mangroves are able to play a role as a wave retardant as well as retaining intrusion and abrasion of the sea. Mangroves themselves have various types of species that are spread throughout Indonesia and not yet widely known to people in general. In identifying the mangrove species itself cannot be done arbitrarily, it requires an expert who truly understands the mangrove species. This research was conducted with the aim of adopting the knowledge of mangrove experts to identify mangrove species into expert systems. The method used is case based reasoning method using the KNN algorithm which is used to calculate the similarity value between cases that will be applied to the expert system to identify mangrove species found in Taman Wisata Alam Pantai Panjang dan Pulau Baai Kota Bengkulu. This system is built using HTML, CSS, Javascript, Php, and Mysql programming languages and is designed using UML diagrams. The results of this study itself are, it has been successfully applied the case based reasoning method in the expert system to identify mangrove species found in Taman Wisata Alam Pantai Panjang dan Pulau Baai Kota Bengkulu
Co-Authors Agustian, Indra Aprilia, Vilda Asahar Johar Aziz, Dzakwan Ammar Bismantolo, Putra Daratha, Novalio Darnita , Yulia Dedi Suryadi Faurina, Ruvita Febrianti, Tiara E Gupta, Neeraj Ida Ayu Putu Sri Widnyani Kennedy, John Kurnia Anggriani, Kurnia Lestari, Etika Dwi Okta Piani, Sri Prasetyo, Bimo Putri, Tiara Eka Rahma, Silvia Rais, Rendra Regen Rais, Rendra Regen Regen, Rendra Sadler, Jonathan P. Santosa, Hendy Sonita, Anisya Utama, Ferzha Utama, Ferzha Putra Zahra, Syakira Az