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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.
Pelatihan presentasi menggunakan Microsoft Power Point pada SMP Patra Mandiri 2 Palembang Rasmila, Rasmila; Huda, Nurul; Jemakmun, Jemakmun; Mukti, Aan Restu; Amalia, Rahayu; Hadinata, Novri; Kurniawan, Kurniawan; Putra, Ade; Nainggolan, Christin Evasari
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 3 No 1 (2022): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v3i1.5853

Abstract

Learning media is a tool used by teachers to convey subject matter to students or media used by students to deliver assignments given by the teacher. In this training activity, computer-based learning media were introduced for presentations using Microsoft PowerPoint, which students of SMP Patra Mandiri 2 Palembang could use to present assignments given by the teacher to the front of the class with attractive shapes and appearances. Community Service Activities (PKM) in the form of training are carried out for two days, in which students are required to be able to make presentation materials using Microsoft PowerPoint and present the material they made in front of the computer laboratory room. This activity is carried out in direct and interactive practice, where students directly practice the material provided by the PKM Team, and students can also have direct discussions with the PKM Team. Before implementing the training activities, students were given a written knowledge test to determine the level of students' understanding of the training material to be delivered. Only 20% of the student participants often made materials using Microsoft PowerPoint. After two days of implementing this training activity, an evaluation was carried out regarding the knowledge and abilities of the student participants in creating and presenting material using Microsoft PowerPoint. From the evaluation results, it can be seen that all student participants have succeeded in making presentation materials using Microsoft PowerPoint and some student participants are also able to present the material in front of the class
Automatic Rubber Tapping Bowl Cover Based on Raindrop Sensor and Remote-Control using Telegram Dasmen, Rahmat Novrianda; Ardianto, Ardianto; Herda, Fitria Destian; Faizal, Faizal; Rasmila, Rasmila
Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Vol 7, No 1 (2026)
Publisher : Departemen Teknik Elektro dan Informatika Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/juliet.v7i1.117159

Abstract

Rubber plantations are one of the primary commodities providing livelihoods for farmers in Indonesia, such as in South Sumatra Province. The main issue: rainwater contamination reduces the quality and market value of latex, impacting farmers’ income. The quality of the latex produced significantly affects its market value, with rainwater contamination being a key factor. A decline in latex quality will lead to a decrease in its market value, which in turn will affect rubber farmers’ income. Therefore, this study developed an IoT device for rubber tapping containers with a cover, which will automatically close the container using a rain sensor. Method action research with field testing in Meranjat Village, Ogan Ilir. This is an effort to prevent latex from being contaminated by rainwater during rainy weather conditions. The application and testing of this automatic rubber tapping container cover were conducted at a rubber plantation in Meranjat Village, Ogan Ilir Regency. Results: 95% closure success rate (sensor activates at 3–5 drops), PIR detection <30 cm, Telegram control. Test results show an automatic closure success rate of 95%, with the rain sensor activating after 3–5 drops of water. Additionally, this IoT device is equipped with a PIR sensor to alert users of any unauthorized entry or attempts to steal latex from the rubber tapping container. The PIR sensor can detect movement at a distance of less than 30 cm and activate an alarm as a warning. Furthermore, this study also added a remote-control feature for this IoT device using the Telegram app.