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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Techno.Com: Jurnal Teknologi Informasi PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JOURNAL OF APPLIED INFORMATICS AND COMPUTING Rang Teknik Journal DoubleClick : Journal of Computer and Information Technology Prosiding Semhavok Journal of Information Systems and Informatics JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmu Teknik dan Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Nasional Ilmu Komputer Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Nasional Teknologi Komputer Jurnal Bina Komputer Jurnal Pengabdian Masyarakat Information Technology (JPM ITech) J-Icon : Jurnal Komputer dan Informatika
Rasmila, Rasmila
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Maternal and Child Health Services Mobile Application Prototype: A Case Study of Puskesmas Sungai Duren Muara Enim Regency Rasmila, Rasmila; Amalia, Rahayu; Adryansyah, Muhammad Rizqi Hidayah; Juniar, Kanero
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1125

Abstract

The Sungai Duren Community Health Center (Puskesmas), located in Muara Enim Regency, provides essential maternal and child health services. Currently, patient registration and data management are conducted manually using patient data books, leading to inefficiencies, errors, and data loss. This research aims to develop a UI/UX mobile application that enhances maternal and child health services at the health center. The study employs the Design Sprint 2.0 methodology, a rapid, iterative, and user-centered design approach consisting of five stages: Understand, Define, Decide, Prototype, and Test. The design of the application was created using Figma, and its effectiveness was evaluated through usability testing, using the System Usability Scale (SUS) and Net Promoter Score (NPS). The results of the study show that the application improves operational efficiency, enhances user satisfaction, and provides better access to health data, demonstrating the potential for scalable and replicable solutions in rural and underserved healthcare settings.
A Comparative Deep Learning Approach for Classifying Oil Palm Fruit Ripeness Levels Using YOLOv8s and Faster R-CNN Rasmila, Rasmila; Oktavian, Sakbanullah Dwi; Dasmen, Rahmat Novrianda; Amalia, Rahayu
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 4 (2025): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.111942

Abstract

Assessing oil palm fruit ripeness is essential for optimizing harvest timing and maximizing market value. In many developing regions, harvesting is still performed every 10–15 days through manual visual inspection, a process prone to human error that often causes premature harvesting and reduces selling value by up to 50%. This study explores deep learning-based object detection for automatic classification of oil palm fruit bunches. A dataset of 4,578 annotated high-resolution images was prepared and categorized into six ripeness classes: Empty, Immature, Underripe, Abnormal, Ripe, and Overripe. Two advanced detection models, YOLOv8s and Faster R-CNN with a ResNet-50 backbone, were evaluated under identical conditions using precision, recall, and mean Average Precision (mAP) metrics. YOLOv8s achieved precision and recall above 99%, with a mAP 0.5:0.95 of 0.9254, demonstrating strong reliability and efficiency for real-time use. Faster R-CNN achieved a higher mAP 0.5 of 0.9964, indicating superior localization accuracy but slower computation. Overall, YOLOv8s provides a better trade-off between accuracy and speed, making it more practical for automated harvesting. This research supports precision agriculture by emphasizing AI-driven solutions that improve productivity, minimize losses, and promote sustainable palm oil management.
ANALISA WEBSITE W3SCHOOLS MENGGUNAKAN SYSTEM USABILITY SCALE rasmila, rasmila; hanasti, fira; ellysza, santana
Jurnal Nasional Teknologi Komputer Vol 2 No 1 (2022): Volume 2 Nomor 1 Januari 2022
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1725.376 KB) | DOI: 10.61306/jnastek.v2i1.14

Abstract

Website is the main choice of learning web programming for a beginner, with the website can facilitate the learning process. The website used to learn programming tutorials is W3schools. W3schools is a web engineer data website, with instructional exercises and references connected with web improvement subjects like HTMLS, CSS, JavaScript, PHP, SQL, and Jquery. The webpage gives a reference guide that covers numerous ascept of web programming. This website there are many categories of tutorials to choose from but there are some users who do not really understand the feature contained in the W3schools website. Website usability according to Nielsen is learnbility, efficiency, memorability, errors, and satisfaction High convenience on site, for example, W3schools is capable draw in light of a legitimate concern for clients on the grounds that the utilization of the site is thought of as simple. The consequence of this paper are as quality investigation and ease of of W3schools of W3schools website based on the perception of various people who use W3schools website, so as to help W3schools website developers to improve the website that can provide satisfactions for its users.
Simulasi Sistem Monitoring Kenaikan Level Air pada Area Rawan Banjir Secara Real-Time berbasis Smartphone Android Rasmila, Rasmila; Parhan, Muhammad Rangga; Hadinta, Novri; Putra, M. Soekarno
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 5 No. 2 (2024): Jurnal Pengembangan Sistem Informasi dan Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v5i2.1663

Abstract

Abstract Flooding is the most prevalent disaster that often occurs, flooding occurs due to an increase in water levels in flood-prone areas such as rivers, creeks, swamps and seas that can no longer be dammed which results in overflowing water, in controlling the increase in water levels, a technology is needed that is able to minimize casualties and property. So, the purpose of this research is to create a technology or monitoring tool for water level rise that can be monitored through an Android smartphone where the use of this system will make it easier for the community and local authorities to monitor real-time water level rise. This research uses Research and Development (R&D) research methodology and data is managed and taken through observation, literature study and validation methods. This system uses the HCSR-04 ultrasonic sensor as a sensor and ESP32 as a microcontroller, as an output result, the data will be in the form of two visualizations, namely real-time graphs and tables and notifications via email. The results of the tool system output are built based on progressive web app through Laravel PHP.
PELATIHAN PEMBUATAN BLOG SEBAGAI LOGBOOK MAHASISWA MAGANG DI UNIVERSITAS BINA DARMA Azhiman, Fauzan; Negara, Edi Surya; Putra, Ade; Dasmen, Rahmat Novrianda; Rasmila, Rasmila; Raihan, Muhammad
Jurnal Pengabdian Masyarakat Information Technology Vol. 2 No. 2 (2023): Jurnal Pengabdian Masyarakat Information Technology - September 2023
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jpm_itech.v2i2.2645

Abstract

Logbook merupakan sebuah hal yang terpenting sebagai catatan atau dokumentasi dalam suatu kegiatan, tentunya tujuan dengan pelatihan pembuatan blog melalui wordprss menjadi sebuah logbook magang pada mahasiswa universitas bina darma untuk meningkatkan kualitas pengalaman magang serta sebagai hal yang menarik untuk pelaporan secara online. Metode yang dilaksanakan merupan Action Reaseach melalui beberapa teknis didalamnya yang ada yaitu melibatkan serangkaian workshop yang mencakup aspek teknis pembuatan blog dan manajemen konten. PkM dari pelatihan ini ditemukan bahwa mahasiswa magang yang menerapkan blog sebagai logbook mereka memiliki kecenderungan yang lebih baik dalam mencatat pengalaman dan pemahaman mereka. Blog memberi mereka ruang untuk mengekspresikan refleksi pribadi, mempromosikan pemahaman mereka tentang konteks pekerjaan, dan berbagi wawasan dengan sesama mahasiswa magang. Selain itu, blog ini juga membantu dalam mempermudah supervisi dan evaluasi oleh dosen pembimbing magang.
Implementasi Metode Simple Additive Weighting (SAW) pada Sistem Pendukung Keputusan dalam Pemilihan Pegawai Terbaik Kurnia, Ayu; Mirza, Ahmad Haidar; Suyanto, Suyanto; Rasmila, Rasmila
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.5512

Abstract

Employee performance appraisal is one of the efforts made by the company so that employees work well and produce high quality and dedicated employees. However, the assessment process that does not use assessment criteria and parameters is considered less objective because it assesses the subjectivity of each employee in the process of selecting the best employee. Decision Support System (SPK) is a decision-making process assisted by a computer system. The Simple Additive Weighting (SAW) method is one of the methods in SPK that can evaluate employees based on alternatives and criteria and predetermined weights. The SAW method can process large and unlimited amounts of data. SAW method only gives the maximum value or the highest value as the best. The calculation process using SAW on the selection of the best employee is based on five criteria, namely attendance, responsibility, initiative, teamwork, and compliance. This Decision Making System (SPK) uses the Python programming language which is implemented using Google Collaboratorry so that it can be used anywhere as long as it is connected to the internet.
Digital Forensics to Prove Authenticity and Detect Malware in Email Sent on Directorat of Inovation and Bussiness Incubator Dasmen, Rahmat Novrianda; Putra, Muhammad Dimas; Rasmila, Rasmila
Techno.Com Vol. 24 No. 4 (2025): November 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i4.14721

Abstract

Abstract - The Directorate of Innovation and Business Incubator (DIIB) at Bina Darma University often receives emails from external sources, increasing the risk of phishing, spoofing, and malware threats. This study applies the Digital Forensic Research Workshop (DFRWS) framework comprising Identification, Preservation, Collection, Examination, Analysis, and Presentation to analyze suspicious emails using forensic tools such as MXToolbox, Whois Lookup, Talos Intelligence, Sucuri SiteCheck, and VirusTotal. Ten suspicious emails were examined. Most failed one or more authentication checks (SPF, DKIM, DMARC), indicating weak verification and potential spoofing. Domain and IP analyses showed public domains like Gmail and Yahoo were most exploited, while official domains such as Upj.ac.id and Maranatha.ac.id had moderate risk. Sucuri classified most domains as medium to high risk, and VirusTotal found no active malware. The study concludes that phishing and spoofing pose greater threats than direct malware, highlighting the importance of forensic email analysis to enhance cybersecurity awareness at DIIB.   Keywords – DIIB, Email, DFRWS, Malware, Tools
Sentiment Analysis of Trending Topics on Social Media X Using Natural Language Processing and LSTM Rasmila, Rasmila; Saputri, Yosandra; Syaki, Firamon; Hadinata, Novri
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.10931

Abstract

In today’s fast-paced digital era, trending news on Social Media X spreads rapidly, influences public opinion, and is often vulnerable to disinformation. This study analyzes netizens’ sentiment towards trending topics on Social Media X using Natural Language Processing (NLP) and a Long Short-Term Memory (LSTM) model. A dataset of 4483 comments was collected across 15 trending topics (Feb–Jun 2025). The preprocessing steps included cleansing, case folding, stopword removal, tokenization, and translation to handle bilingual data. Results show sentiment distribution: 35% positive, 36% negative, and 29% neutral. Model performance varied between 34%–67% accuracy, with precision, recall, and F1-scores indicating that topic sensitivity, language diversity, and data imbalance strongly influenced outcomes. This research contributes to text analytics by providing a baseline model for real-time trending news sentiment analysis in Indonesia, particularly under multilingual and noisy data conditions.
Co-Authors Ade Putra Adila, Nia Adryansyah, M. Rizqi Hidayah Adryansyah, Muhammad Rizqi Hidayah Afriansyah, A. Agustian, Regi Ahmad Haidar Mirza Akbar, Muhammad Fharid Amalia , Rahayu Amalia, Rahayu Andryani, Ria Anugrah, M. Fani Ardiansyah, Ari Azhiman, Fauzan Dandy, Dandy Dasmen, Rahmat Novrianda Dedi Kurniawan Dilla Nafasari Dwi Novanni, Windri Edi Surya Negara ellysza, santana Firnando, M. Iksan Hadinata, Novri Hadinta, Novri hanasti, fira Hardian, Miko Herawan, Rafi Jemakmun, Jemakmun Julia Julia Juniar, Kanero Khadapi, Muhammad Kurnia, Ayu Mardiyansya, Yogi Mellita, Dina Novendra, Hasrudi Novrianda, Rahmat Nufus, Rahmatin Nuryadi, Muhammad Oktavian, Sakbanullah Dwi Parhan, Muhammad Rangga Puspasari, Ledyana Putra, Dwi Satria Putra, M. Soekarno Putra, Muhammad Dimas Raihan, Muhammad Ramadan, Muhammad Satria Rayhan, M. Riansyah, Septa Saputri, Yosandra Sauda, Siti Sukma, Liana Suyanto Suyanto Syaki, Firamon Tamimi, Raisya Aqilla Putri Tata Sutabri Tri Ginanjar Laksana Triwulanda, Asti Udariyansyah, Devi Wahyudi, Muhammad Rizki Wahyunita Wahyunita Wiwin Agustian Wiyata, Yasa Reksa