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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer JOIN (Jurnal Online Informatika) 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) Aktual : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Forestry Research Dharmakayana: Journal of scientists, engineers, educators and scientific activists related to society development The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Arie Vatresia
Program Studi Teknik Infomatika, Fakultas Teknik, Universitas Bengkulu.
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health

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Herbal Plant Classification Using EfficientNetV2B0 Model and CRISP-DM Approach Sonita, Anisya; Anggriani, Kurnia; Vatresia, Arie; Putri, Tiara Eka; Darnita , Yulia; Zahra, Syakira Az; Aprilia, Vilda; Aziz, Dzakwan Ammar
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5141

Abstract

Herbal remedies have long been utilized by Indonesian communities as part of traditional medicine. However, identification of these natural resources is often challenging due to the morphological similarities among various species, which demand expert knowledge to differentiate. This study aims to implement the EfficientNetV2B0 model architecture for classifying medicinal leaves through an Android-based application designed to support recognition tasks. The dataset was composed of augmented images of plant foliage. The model was trained using the TensorFlow framework and evaluated to measure classification performance. Results demonstrate that EfficientNetV2B0 achieves excellent accuracy, with validation scores exceeding 97%, outperforming several other deep learning models. The resulting application allows the general public to identify local medicinal species more easily. This study contributes to the field of computer vision by providing an accurate and efficient classification framework, particularly beneficial for health-related informatics in biodiversity-rich regions.
Audit Sistem Informasi pada Sistem Manajemen Layanan Satu Atap (SIMANTAP) Menggunakan Kerangka COBIT 5.0 (Studi Kasus: Bank Indonesia Provinsi Bengkulu) Vatresia, Arie; Tambunan, Pieters N.P; Erlanshari, Aan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 5: Oktober 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022945792

Abstract

Bank Indonesia adalah bank sentral Republik Indonesia dan lembaga negara yang independen, bebas dari campur tangan Pemerintah atau pihak-pihak lainnya. Peranan teknologi informasi telah mendukung proses bisnis perbankan, baik dalam kepemilikan sumber daya manusia maupun data dan informasi. Salah satunya, Bank Indonesia Provinsi Bengkulu yang telah menggunakan Sistem Manajemen Layanan Satu Atap (SIMANTAP) di dalamnya proses pelayanan front office, pelayanan permohonan proposal, pelayanan permohonan SID,  pelayanan informasi disposisi, dan lain-lainnya. Untuk memastikan SIMANTAP sesuai dengan tujuan yang ingin dicapai pada Bank Indonesia Provinsi Bengkulu, maka perlu dilakukan audit sistem informasi. Untuk dapat mencapai keselarasan antara tujuan SIMANTAP dan tujuan Bank Indonesia Provinsi Bengkulu diperlukan suatu pengukuran tingkat kapabilitas yang dilakukan dengan menggunakan framework COBIT 5.0, sehingga setelah proses audit selesai dilakukan, akan menghasilkan tingkat kapabilitas SIMANTAP dan mengetahui nilai kebutuhan serta memberikan gambaran rekomendasi tentang proses sistem yang baik sesuai dengan yang disarankan pada framework COBIT 5.0. Metode Penelitian yang digunakan adalah Kuantitatif, yang akan menghasilkan tingkat kapabilitas (capability level) SIMANTAP dan Kualitatif, yang akan menentukan terhadap hasil Audit SIMANTAP yang telah dilakukan, Berdasarkan hasil penilaian pada COBIT 5.0, capability level dari SIMANTAP berada pada level 4 (Predictable Process), agar sistem informasi SIMANTAP dapat mencapai tingkat kapabilitas yang ingin dicapai pada level 5 (Optimizing Process), maka rekomendasi yang perlu dilakukan adalah membuat KPI dalam semua penilaian performa SIMANTAP, membuat buku panduan SIMANTAP, dan melakukan pendokumentasian terhadap tingkat penerapan serta pengevaluasian kinerja SIMANTAP.AbstractBank Indonesia is the central bank of the Republic of Indonesia and an independent state institution, free from interference from the government or other parties. The role of information technology has supported banking business processes, both in the ownership of human resources as well as data and information. One of them, Bank Indonesia Bengkulu Province, has used the One-Stop Service Management System (SIMANTAP) which includes the front office service process, proposal request service, SID application service, and disposition information service. However, currently there is no assessment that confirms the level of the SIMANTAP implementation process to support the objectives to be achieved at Bank Indonesia Bengkulu Province which can be carried out through the audit process. This study aims to present the information system audit process at the organization in order to achieve alignment between the objectives of SIMANTAP and the objectives of Bank Indonesia Bengkulu Province. The method used in this study is a combination of the RACI method and the COBIT 5 framework which produces the SIMANTAP capability level and provides recommendations for action to increase the current level of achievement. This study shows that the capability level of SIMANTAP is currently at level 4 (Predictable Process). Meanwhile, in order for the SIMANTAP information system to achieve the desired level of capability at level 5 (Optimizing Process), the recommendations that need to be made are to make key performance indicators in all SIMANTAP performance assessments, create a SIMANTAP guide book, and document the level of implementation and performance evaluation. SIMANTAP.
Implementasi Algoritma AES 256 CBC, BASE 64, Dan SHA 256 dalam Pengamanan dan Validasi Data Ujian Online Utama, Ferzha Putra; Wijaya, Gusman; Faurina, Ruvita; Vatresia, Arie
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 5: Oktober 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2023106558

Abstract

Terdapat berbagai macam cara untuk melaksanakan ujian di tingkat perguruan tinggi, selama masa pandemi Covid-19 metode ujian online menjadi banyak digunakan. Meskipun ujian online dapat dilaksanakan di mana saja dan kapan saja, sayangnya masih banyak terjadi kecurangan seperti bocornya soal ujian, tersebarnya kunci jawaban secara ilegal, dan pengubahan pada data hasil ujian.  Salah satu solusi dalam menjaga integritas hasil ujian berbasis online adalah mengenkripsi data ujian dengan metode kriptografi. Penelitian ini mengusulkan menerapkan beberapa metode kriptografi sebagai upaya dalam mengamankan dan memastikan keaslian data ujian online menggunakan algoritma AES 256 CBC, Base 64, dan SHA 256. Penelitian ini menghasilkan aplikasi ujian online berbasis website yang dibangun menggunakan teknologi MERN Stack. Hasil pengujian dalam memvalidasi data ujian online yang telah dienkripsi menggunakan sistem dan OpenSSL menunjukkan nilai hash yang sama. Hal ini menunjukkan sistem telah mampu mengenkripsi, mendekripsi, dan memvalidasi data ujian online dengan efektif.   Abstract There are various ways to organize exams at the higher education level. During the Covid-19 pandemic, the online examination method has become widely used. Although online exams can be held anywhere and anytime, unfortunately, many violations and fraud exist, such as leaking exam questions, spreading answer keys illegally, and changing exam result data. One solution for maintaining the integrity of online-based exam results is to encrypt exam data with cryptographic methods. This study proposes applying several cryptographic methods to secure and ensure the authenticity of online exam data using AES 256 CBC, Base 64, and SHA 256 algorithms. This research resulted in a website-based online exam application built using MERN Stack technology. The test results in validating online exam data that has been encrypted using the system and OpenSSL show the same hash value. This shows that the system has been able to encrypt, decrypt, and validate online exam data effectively.
Regression Analysis for Crop Production Using CLARANS Algorithm Vatresia, Arie; Faurina, Ruvita; Simanjuntak, Yanti
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.1031

Abstract

Crop production rate relies on rainfall over Rejang Lebong district. Data showed a discrepancy between increased crop production and rainfall in Rejang Lebong District. However, the spatiotemporal distribution of the crop variable's dependencies remains unclear. This study analyses the relationship between rainfall and crop production rate in the Rejang Lebong district based on the performance of the machine learning method. In addition, this research also performed regression analysis to carry out rainfall clusters and crop production. This order provides information in the form of cluster results to determine how much the rainfall variable influences the crop production rate  in each cluster. Harnessing the Elbow, CLARANS, Simple Linear Regression, and Silhouette Coefficient methods, this study used 231 rainfall data sourced from the Bengkulu BMKG and 110 data for plant production obtained from BPS Bengkulu Province from 2000-2022. This research found that the optimal clusters were 3 clusters. C1 contains 106 data with the largest regression value for chili = 0.127, C2 contains 15 data with the largest regression value for mustard greens = 0.135, and C3 contains 110 data with the largest regression value for cabbage = 0.408, eggplant = 0.197, and carrots = 0.201. Furthermore, this research also found that the biggest correlation of crops with highly significant improvement would be cabbage commodity (Y=0.4114X+0.2013) and chili plantation with high RSME (0.9897).
DESIGNING A 3D ROGUELIKE GAME WITH PROCEDURAL CONTENT GENERATION USING THE GRAPH GRAMMARS METHOD Vatresia, Arie; Putra Utama, Ferzha; Yulianto, Adi
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 6 (2023): JUTIF Volume 4, Number 6, Desember 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.6.546

Abstract

Roguelike is a genre of role-playing video game in which the player explores dungeons through procedurally generated levels. If they lose, the player loses progress, and the character starts over again. Procedural Content Generation (PCG) is a computer program that can create game content automatically, randomly, and uniquely, either by itself or with human assistance. In this study, the 3D roguelike game was designed with players playing a character to explore dungeons. Players will enter at one point, explore the surrounding environment, defeat the enemies encountered, avoid traps, collect treasure, and finally exit at another point. Each time the player starts a new game session, the game will generate a dungeon with a mission structure that changes randomly to create a variety of gameplay. This mission generation is implemented using the Graph Grammar method. The game is built using the Unity game engine and is intended to run on Android devices. Based on the black box test results, all the game's features are running well according to their functions. The built games will be evaluated using the GUESS-18 to determine the level of player satisfaction. Based on the evaluation results, the game is included in the "GOOD" category, with an overall score of 49.07 out of 63 maximum scores. The game that has been built is superior in the aspect of personal gratification, while it is weak in the aspect of social connectivity.
Improving Digital Literacy through Population Data Management Information System in Sawah Lebar Baru Subdistrict Bengkulu City Renaningtias, Nurul; Vatresia, Arie; Putri, Tiara Eka; Kusuma, Teguh Nata; Ibrahim, Tanimu Adam
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2025): Aktual: Jurnal Pengabdian Kepada Masyarakat January 2025
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v3i1.348

Abstract

This activity aims to build a population data management information system at the website-based sub-district office. This activity is motivated by the results of observations made at the Sawah Lebar Baru District office, information governance is still carried out manually by recording in ledgers that still rely on conventional bookkeeping. This performance approach is considered less effective and efficient. This impacts public services, which take a long time and often make mistakes in recording and reporting information on the state of the community. The implementation method is identification of needs, preparation and development of the system, training and technical assistance, then implementation and monitoring. After the training, an evaluation was carried out to measure the increase in participants' knowledge and skills in using the system. Based on the post-test results, the average value was in the range of 80-90%, which indicates an increase in participants' understanding and abilities. Through this activity, population data management becomes more effective and efficient and services to the community become more optimal.
Digital Transformation of Population Services through the Implementation of a Web Based Information System: (Sawah Lebar Baru Subdistrict, Bengkulu City, Bengkulu Province) Renaningtias, Nurul; Vatresia, Arie; Putri, Tiara Eka; Anggriani, Kurnia; Nata Kusuma, Teguh
Dharmakayana Vol 2 No 1 (2025): Mei : Dharmakayana: Journal of scientists, engineers, educators and scientific ac
Publisher : Program Studi Teknik Mesin, Fakultas Teknik Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/dk.v2i1.41929

Abstract

Permasalahan pengelolaan data kependudukan di Kelurahan Sawah Lebar Baru Kota Bengkulu masih dilakukan secara manual sehingga menyebabkan seringnya terjadi kesalahan dan keterlambatan dalam pelaporan. Kegiatan pengabdian ini bertujuan untuk membangun sistem infomasi manajemen data kependudukan berbasis web yang dapat memfasilitasi pencatatan, pemutakhiran dan pelaporan data warga secara digital dan terstrukutur. Metode pelaksanaan kegiatan ini meliputi identifikasi kebutuhan, pengembangan sistem menggunakan metode waterfall, implementasi sistem serta sosialiasai dan pendampingan secara berkelanjutan. Hasil implementasi sistem dengan pengujian blackbox testing menunjukkan bahwa seluruh fungsionalitas sistem berhasil untuk dijalankan. Berdasarkan hasil pre-test kegiatan pengabdian ini terjadi peningkatan dalam pemahaman konsep sistem, kemampuan operasional sistem, akurasi input data, dan efektivitas penggunaan fitur dengan rata-rata nilai 91,76. Kegiatan pengabdian ini tidak hanya meningkatkan literasi digital tetapi juga memperkuat partisipasi aktif warga dalam mendukung tata kelola administrasi berbasis teknologi informasi.
MINING FIRE HOTSPOTS OVER NUSA TENGGARA AND BALI ISLANDS Vatresia, Arie; Regen, Rendra; Putra Utama, Ferzha; Oktariani, Widhia
Indonesian Journal of Forestry Research Vol. 9 No. 1 (2022): Indonesian Journal of Forestry Research
Publisher : Association of Indonesian Forestry and Environment Researchers and Technicians

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/ijfr.2022.9.1.73-85

Abstract

Forest fires are still one of the most common problems in Indonesia. In fact, many of these forest fires origin from human activities, namely fires that are intentionally raised for a purpose such as widening the land to prepare for the planting season in the Nusa Tenggara Island. Forest fire events can be identified by observing hotspot data which are monitored through remote sensing satellites. Hotspot is an area that has a relatively higher surface temperature than the surrounding area based on certain temperature thresholds monitored by remote sensing satellites. The objective of this research is to cluster hotspots in the Nusa Tenggara and Bali Islands from year 2013 to 2018 using the K-Means Clustering Method with 28,519 hot spot data. By knowing this result, the ministry can use this data for patrol priority management. This research successfully clustered three types of hotspot classes based on the risk of fire with details as follow; High Risk Class contains 12,212 data with ranges of mean values of confidence in the range of 49.3–100%, brightness in the range of 305.1–421.3o K and FRP in the range of 2.5–714.3; Medium Risk contains 12,250 data mean values of confidence with a range of 20.3–74.3%, brightness in the range of 301.06–341.86o K and FRP in the range of 3.6–141.4; and Low Risk contains 4,057 data with a range of mean values of confidence in the range of 0–39.8%, brightness in the range of 300–365.86oK and FRP in the range of 3.5–275.6.
ASSESSMENT OF GROUND SURFACE DEFORMATION IN BENGKULU CITY INDUCED BY EARTHQUAKES USING DINSAR-BASED REMOTE SENSING IMAGE ANALYSIS Utama, Ferzha Putra; Vatresia, Arie; Zalbuin Mase, Lindung; Faris, Ahmad
International Journal of Remote Sensing and Earth Sciences Vol. 21 No. 2 (2024)
Publisher : BRIN

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

Abstract

In 2007, Bengkulu city, Indonesia and its surrounding areas experienced a significant earthquake with a magnitude of 8.6 Mw, resulting in extensive damage. Between 2014 and 2022, Bengkulu Province encountered a total of 3469 earthquakes, signifying a heightened frequency of seismic activity in the region. This escalated seismic activity in Bengkulu elicits concerns regarding potential ground surface deformation. To address this, the study utilized DInSAR (Differential Interferometry SAR) technology, employing a blend of satellite images to quantify land surface deformation. Notably, the research made use of three pairs of satellite images for analysis. One pair of ALOS-PALSAR images dated between January 29 and September 16, 2007, was employed to investigate ground surface deformation following the September 12, 2007 earthquake. Additionally, observations were made using two pairs of Sentinel-1 satellite images covering periods from November 3 to 27, 2014, and from June 30 to July 24, 2022, to monitor land surface deformation resulting from earthquakes on November 10, 2014 and July 20, 2022. The study findings depicted uplift deformation reaching 53.4 mm and the highest subsidence measuring -12.8 mm in the ALOS-PALSAR image pair. In the Sentinel-1 image pair between November 3 and 27, 2014, the most notable observed uplift amounted to 38.9 mm, while the greatest subsidence was recorded at -34.8 mm. Lastly, the image pair dated between June 30 and July 24, 2022, exclusively exhibited uplift, with values peaking at 45.2 mm.
EFEK MAGNUS PADA PERMAINAN TENIS MEJA Nuramal, Agus; Deviya, Aprilman; Vatresia, Arie
Dharmakayana Vol 1 No 1 (2024): Mei : Dharmakayana: Journal of scientists, engineers, educators and scientific ac
Publisher : Program Studi Teknik Mesin, Fakultas Teknik Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/dk.v1i1.36248

Abstract

The Magnus effect is about the formation of pressure difference around a cylindrical or spherical projectile rotating in the flow of fluid. This difference causes forces acting on the projectile changing the direction of the projectile movement. Little understanding to Magnus effect concept is necessary for every activist in the sport area playing with ball. Discussing about the Magnus effect for the direction case of the ball in table tennis made them interested, e.g. the cases of empty shots, top spin, back spin, and side spin each produces different ball direction characteristics.
Co-Authors Adi Yulianto, Adi Agus Nuramal Agustian, Indra Ahmad Faris, Ahmad Aprilia, Vilda Armelia, Zaskia Fasha Asahar Johar Aziz, Dzakwan Ammar Bismantolo, Putra Daratha, Novalio Darnita , Yulia Dedi Suryadi Deviya, Aprilman Erlanshari, Aan Faurina, Ruvita Febrianti, Tiara E Fitri, Tessa Zulenia Gupta, Neeraj Ibrahim, Tanimu Adam Ida Ayu Putu Sri Widnyani Kennedy, John Kurnia Anggriani, Kurnia Kusuma, Teguh Nata Lestari, Etika Dwi Nata Kusuma, Teguh Nurul Renaningtias, Nurul Okta Piani, Sri Oktariani, Widhia Prasetyo, Bimo Putri, Tiara Eka Rahma, Silvia Rais, Rendra Regen Rais, Rendra Regen Regen, Rendra Ridho, Muhammad Faiz Sadler, Jonathan P. Santosa, Hendy Simanjuntak, Yanti Sonita, Anisya Sri Astuti Tambunan, Pieters N.P Utama, Ferzha Utama, Ferzha Putra Wijaya, Gusman Zahra, Syakira Az Zalbuin Mase, Lindung Zarah Juaita, Aisyah Amelia Zuliantoni, Zuliantoni