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All Journal Jurnal Konseling dan Pendidikan Jurnal Media Infotama Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IJIS - Indonesian Journal On Information System Jurnal Sistem Cerdas JSAI (Journal Scientific and Applied Informatics) Jurnal Teknologi Informasi dan Pendidikan Journal of Technopreneurship and Information System (JTIS) Cyber Security dan Forensik Digital (CSFD) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Informatika (JUTIF) SINTA Journal (Science, Technology, and Agricultural) Djtechno: Jurnal Teknologi Informasi Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika Jurnal Media Computer Science JURNAL BESEMAH Mestaka: Jurnal Pengabdian Kepada Masyarakat PEDAMAS (Pengabdian Kepada Masyarakat) El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Al-Maun Dinamika Sosial: Jurnal Pengabdian Masyarakat Dan Transformasi Kesejahteraan Jurnal Riset Multidisiplin Edukasi Jurnal TAM (Technology Acceptance Model) JCOSIS (Journal Computer Science and Information Systems) Jurnal Komputer, Informasi dan Teknologi
Guntur Alam
Universitas Muhammadiyah Bengkulu
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Design Of A Patient Information System For Covid – 19 Using PHP At Mukomuko Hospital Adinda Trisista; Ujang Juhardi; Guntur Alam; Yuza Reswan
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1265

Abstract

The design of a COVID-19 patient information system using PHP Muko-muko Hospital has been successfully created which includes patient identity data confirmed for COVID-19, clinical information for COVID-19 patients, monitoring information for confirmed COVID-19 patients, and reports on COVID-19 patient data. -19. This system has been neatly designed to make it easier for officers to find data on COVID-19 patients who have been monitored or have not been monitored when applied to the real system.
SWOT Analysis To Determine Competitive Strategy In Yakusa Laundry Business Arbeiansah Pratama Putra; Surya Ade Saputera; RG Guntur Alam; Yetman Erwadi
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1794

Abstract

In this era of modern development, there is a lot of competition throughout the industrial world, including inside and outside the industry. This also happens because changes in the field of technology are increasingly rapid and precise. In conditions of rapid technological development, this is possible for business actors, especially companies, this situation is no longer surprising when operating in the field of commodity operations, in this case company management will compete with each other through various media to improve the sales process to current marketing consumers. This example is Yakusa Laundry. The author's aim in conducting research on the Yakusa laundry business aims to identify and analyze SWOT, namely strengths, weaknesses, opportunities, threats, such as competitive strategies to increase competitiveness. on the Yakusa Laundry business. This research uses a descriptive qualitative approach, data collection techniques using narrative data methods, namely oral and written interviews, observation and documentation. Investigation of informants is based on relevance and adequacy. The results of research regarding marketing strategies in increasing competitiveness at Yakusa Laundry show an increase in competitiveness, this is proven by the company's control of market share.
Implementation Of Apriori Data Mining Algorithm To Increase Sales Of Caringin Shop Supriadi Supriadi; Gunawan Gunawan; RG. Guntur Alam; Dedy Abdullah
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1799

Abstract

The caringin shop is a shop that sells daily household and kitchen needs. Caringin shop sales tend to stagnate because in the last few months there has been no significant increase in turnover and tight business competition where the large number of similar shops has become a problem. This requires a precise and careful marketing strategy. This research implements an a priori algorithm as a marketing strategy. The data used was 146 transactions for 1 week. The analysis was carried out manually using Microsoft Excel and libraries in the Python programming language that supports apriori algorithms packaged in a simple web-based application. The analysis resulted in a conclusion that if a consumer buys sugar, then the tendency is to buy coffee with a confidence level of 65% supported by a support value of 10% of all transactions with a lift ratio of 3.9, if buying coffee, then the tendency is to buy sugar with a confidence level of 62% supported by a support value of 10% of all transactions with a lift ratio of 3.9, and if buying eggs, then the tendency is to buy instant noodles with a confidence level of 61% supported by a support value of 11% of all transactions with a lift ratio of 2.8.
Comparison Of Population Prediction Of Bengkulu Selatan Regency With Python And SPSS Heri Sulasono; Dedy Abdullah; RG. Guntur Alam; Gunawan Gunawan
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1801

Abstract

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Analisis Pengembangan Perangkat Lunak Berbasis AI (Gemini) Menggunakan Penerapan ACM Code of Ethics Rexcy Elsan; Andi Lala; RG. Guntur Alam
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.7811

Abstract

This research aims to analyze the application of the ACM Code of Ethics in the development of AI Gemini software by Google DeepMind. With the development of artificial intelligence (AI) technology, developers need to pay attention to ethical aspects in every stage of system development. This research uses a qualitative approach with a data triangulation method, which includes document analysis, interviews with AI experts, and a literature study. The results show that although Gemini AI has complied with some key ethical principles in the ACM Code of Ethics, such as data security and privacy (90%) and human well-being (85%), there are still challenges related to transparency (60%) and bias mitigation (70%). Lack of transparency in algorithms and training data as well as potential bias in results generated by AI are the main issues that need to be improved. Based on the results, overall the Gemini AI has shown fairly good ethical compliance with an average of 76.67% but still requires improvement in the aspects of transparency, bias mitigation, and usage regulation.
Analisis Kepuasan Pengguna Canva Dan Gamma Dikalangan Mahasiswa Menggunakan Metode System Usability Scale (SUS) Helen Anggraini; RG. Guntur Alam; Agung Kharisma Hidayah
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.8214

Abstract

Canva and Gamma are web-based graphic design platforms widely used by students to create brochure, presentations, and social media content in a simple and efficient way. The purpose of this study is to evaluate user satisfaction. with both applications using the System Usability Scale (SUS) method. The study involved 100 students from Universitas Muhammadiyah Bengkulu who had used both platforms. The results indicate that Canva achieved a SUS score of 80.2, categorized as Excellent, while Gamma received an average score of 72.4, categorized as OK. These findings suggest that although both applications demonstrate good usability, Canva is perceived to be superior in terms of ease of use, feature integration, and learning curve. The outcomes of this study can serve as a reference for’s developers with educational institutions on selecting or developing design tools that are more responsive to user needs.
Analisis Kepuasan Pengguna Canva Dan Slidego Dikalangan Mahasiswa Menggunakan Metode Costumer Satisfaction Index (CSI) melzan sabri sabri; RG. Guntur Alam; Gunawan
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.8273

Abstract

Canva and slidego are graphic design platforms that are widely used by students. This study uses the Customer Satisfaction Index (CSI) method to measure and understand how satisfied students are with the Canva and Slidego presentation design platforms. This is based on the fact that these platforms are the main choice for students to create attractive professional presentations. This study uses a quantitative, descriptive method by collecting data from students who use both applications through an online questionnaire. To measure overall user satisfaction, but there are also important attributes that affect user satisfaction. such as ease of use, completeness of features. The results of the calculations carried out using the (CSI) method show a value of the percentage of user satisfaction of 85.4115773 Based on the CSI scale, the results are categorized as "very satisfied" with the Canva application. While the Slidego application gets a value of 80.920309% categorized as "Satisfied", so in the results of this CSI calculation, the Canva application has a value greater than the Slidego application value, so the conclusion is that the Canva application is more and more often used by users.
Deteksi Dini Indikasi Risiko Keamanan Siber pada Game Online Berdasarkan Ulasan Pengguna Menggunakan Naive Bayes jely estianti; RG Guntur Alam; Agung Kharisma Hidayah
Cyber Security dan Forensik Digital Vol. 9 No. 1 (2026): Edisi Mei 2026
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/csecurity.2026.9.1.6034

Abstract

Game online merupakan platform digital yang mengelola data sensitif pengguna, termasuk informasi akun, data pribadi, dan transaksi digital, sehingga rentan terhadap berbagai ancaman keamanan siber. Sebagian besar penelitian sebelumnya memanfaatkan ulasan pengguna untuk analisis sentimen dan kualitas layanan, sementara pemanfaatannya sebagai indikator dini risiko keamanan siber masih terbatas. Penelitian ini bertujuan mengidentifikasi indikasi risiko keamanan siber pada game online berdasarkan ulasan pengguna sebagai bentuk user-reported cybersecurity signals. Sebanyak 3.069 ulasan pengguna Mobile Legends diproses melalui tahapan text mining (case folding, tokenizing, stopword removal, dan stemming), direpresentasikan menggunakan pembobotan TF-IDF, dan diklasifikasikan dengan algoritma Naïve Bayes. Kategori risiko meliputi Account Security Risk, Data Privacy Risk, Phishing & Fraud Risk, Malware Risk, serta Non-Security Issue. Evaluasi menggunakan skenario pembagian data 80:20 menunjukkan akurasi keseluruhan sebesar 76,5% berdasarkan confusion matrix, dengan variasi performa antar kategori. F1-score tertinggi diperoleh pada kategori Non-Security Issue (0,92), sedangkan Malware Risk terendah (0,67) akibat ambiguitas linguistik dalam narasi pengguna. Temuan ini menunjukkan bahwa ulasan pengguna berpotensi dimanfaatkan sebagai mekanisme deteksi dini berbasis komunitas. Secara teoretis, penelitian ini memperkenalkan pendekatan community-based cyber risk identification sebagai bentuk komplementer terhadap mekanisme deteksi teknis dalam manajemen risiko keamanan siber pada platform digital.  Kata kunci: keamanan siber, game online, text mining, naïve bayes, deteksi dini risiko  ---------------------------------------------------------------------- Early Detection of Cybersecurity Risk Indications in Online Games Based on User Reviews Using Naive Bayes Online games are digital platforms that manage sensitive user data, including account information, personal data, and digital transactions, making them vulnerable to various cybersecurity threats. Most previous studies have utilized user reviews for sentiment analysis and service quality evaluation, while their use as early indicators of cybersecurity risk remains limited. This study aims to identify indications of cybersecurity risks in online games based on user reviews as user-reported cybersecurity signals. A total of 3,069 user reviews of Mobile Legends were processed using text mining techniques, including case folding, tokenizing, stopword removal, and stemming. The textual data were represented using TF-IDF weighting and classified using the Naïve Bayes algorithm. The risk categories included Account Security Risk, Data Privacy Risk, Phishing & Fraud Risk, Malware Risk, and Non-Security Issue. Evaluation using an 80:20 data split scenario resulted in an overall accuracy of 76.5% based on the confusion matrix, with performance variations across categories. The highest F1-score was achieved in the Non-Security Issue category (0.92), while the Malware Risk category showed the lowest performance (0.67) due to linguistic ambiguity in user narratives. These findings indicate that user reviews have the potential to serve as a community-based early detection mechanism for cybersecurity risks. Theoretically, this study introduces a community-based cyber risk identification approach as a complementary mechanism to technical detection systems in cybersecurity risk management for digital platforms. Keywords: cybersecurity; online games, text mining, naïve bayes, early risk detection
Sosialisasi, Pelatihan, dan Pendampingan OpenSID sebagai Upaya Digitalisasi Administrasi Kependudukan di Kelurahan Pematang Gubernur Widya Ariyanti; Desvianti Desvianti; Davi Gunawan; Galang Januar Pratama; Caroline Anggun Prycillia Sitanggang; Gunawan Gunawan; RG Guntur Alam
Dinamika Sosial : Jurnal Pengabdian Masyarakat dan Transformasi Kesejahteraan Vol. 3 No. 1 (2026): Maret: Dinamika Sosial : Jurnal Pengabdian Masyarakat dan Transformasi Kesejaht
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/dinsos.v3i1.3124

Abstract

The development of information technology has significantly transformed government administration, enhancing public service efficiency and effectiveness. However, many local government offices still manage population administration manually, leading to delays and data inaccuracies. This community service activity aims to enhance the capacity of Pematang Gubernur Village staff in managing digital-based population administration through the implementation of OpenSID. A qualitative approach was used, consisting of several stages: preparation, socialization, training, mentoring, and evaluation. The results demonstrated that OpenSID facilitated the digitalization of population data, improving the staff's ability to manage administrative services. During the mentoring process, the staff learned to use the system for daily tasks such as managing population data and issuing administrative letters more efficiently. As a result, the village staff were able to deliver faster and more accurate services. This initiative marks the beginning of digital transformation in population administration at the village level, contributing to a more streamlined and effective service delivery system. Overall, the activity not only improved administrative efficiency but also empowered the village staff with the skills necessary for future digital advancements.
Design Of A Clothing Sewing Service System At Bucik Rendo Tailor User Prototype Method Bima Herbudi; Marissa Utami; Guntur Alam; Surya Ade Saputera
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11536

Abstract

This study aims to design a clothing sewing service information system at Bucik Rendo Tailor using the prototype method. The problem that occurs in this sewing service business is the data management process that is still done manually, such as recording customer data, orders, payment transactions, and business reports. This condition causes frequent recording errors, difficulties in data retrieval, and slow service to customers. To overcome these problems, this study uses the prototype method because it can help developers understand user needs more clearly through a gradual evaluation and improvement process. Data collection was carried out through observation, interviews, literature studies, and documentation studies. The results of the study are in the form of a system design that includes a Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), database design, and user interface design. The designed system has features for managing customer data, products, orders, transactions, work status, and reports. With this system design, it is expected to help improve the effectiveness of clothing sewing service business management, facilitate service to customers, and serve as a reference in the development of a web-based sewing service information system in the next implementation stage.
Co-Authors A.R Walad Mahfuzhi AA Sudharmawan, AA Abdullah, Dedy Abid Aprialdi Adinda Trisista Agung Karisma Hidayah Amrul Faruq Andi Lala Andilala, Andilala ANDRI KURNIAWAN Apridiansyah, Yovi AR Walad Mahfuhzy Arbeiansah Pratama Putra Ariyanti, Widya Bima Herbudi Caca Andika Cahyo Prihantoro Caroline Anggun Prycillia Sitanggang Davi Gunawan Dedy Abdullah desti mawanti Desvianti Desvianti ewika dwi wulandari Fikri Agnesa Putra Fransiska, Nora Galang Januar Pratama Geri Rizki Ramadani Gunawan Gunawan Gunawan Gunawan Gunawan Hajar Rojandra Handayani, Sri Harianto, Ozi Harry Witriyono Hary Witriyono Helen Anggraini Heri Sulasono Hidayah, Aditia hidayah, agung kharisma Ibrahim, Huda Imelia Okta Ramayanti Jaka Rapino jely estianti Jerry Ario Zhonata Juhardi, Ujang Karnedi, Gunawan Khairullah Khairullah, Khairullah Kirman Kirman Kirman Kirman, Kirman Lena Utami Lestari, Putri Dwi Lety Lestari Lorensya, Cintia Novita Machmud Effendy Mahendra, Yusril Mahfuzi, AR. Walad Marissa Utami Mei Lisa Tri Utami melzan sabri sabri Monsya Juansen Muhammad Ale Gufron muhammad fikri Muntahanah, Muntahanah Mutiara Hikmah Nabela Hermy Nathania Nengsi, Elta Putri Setia Netra Ayu Puji Rahayu Kurniasih Putra, Arbeiansah Pratama Putra, Fikri Agnesa Rajes Andika Putra Ramzi, Reja Muhamad Randi Riski Ananda Ravi Putra Lingga Rexcy Elsan Rido Syahputra Rifqo, Muhammad Husni Selta Jaya Putra selviani, pebi Sigit Muryono Sri Handayani Sri Handayani Sulasono, Heri Supriadi Supriadi Surya Ade Saputera Tauhid, Muhammad Ikhsan Taura Nita Toyib, Rozali Tri Rahayu Trisista, Adinda ujang juhardi Vendy Handoyo Wicaksono, Rama Iqbal Widya Ariyanti Wijaya, Ardi Wulandari, Ardeya Yetman Erwadi Yunus Hidayat Yusril Mahendra Yuza Reswan