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All Journal JUSIFO : Jurnal Sistem Informasi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JOISIE (Journal Of Information Systems And Informatics Engineering) Computer Science and Information Technologies Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) INOVTEK Polbeng - Seri Informatika
Arif Marsal
Universitas Islam Negeri Sultan Syarif Kasim Riau
Computer Science & IT Control & Systems Engineering Engineering Library & Information Science

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Implementation of the internet of things on smart posters using near field communication technology in the tourism sector Muhammad Luthfi Hamzah; Astri Ayu Purwati; Sutoyo Sutoyo; Arif Marsal; Sarbani Sarbani; Nazaruddin Nazaruddin
Computer Science and Information Technologies Vol 3, No 3: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v3i3.p194-202

Abstract

Tourism promotion in Pekanbaru is one step in increasing the number of tourists visiting Pekanbaru City. Through tourism promotion, tourists will find out where the locations are in Pekanbaru and information related to these tourist objects. This research aims to design a tourism promotion system using near-field communication (NFC) smart posters using smartphones in the city of Pekanbaru and apply NFC technology to Android smartphones in the city of Pekanbaru. Promote tourism in the city of Pekanbaru. They were testing this application with the System Usability Score, which had a good score of 74.30. This study shows that the planning and modeling of the smart poster system using NFC technology makes it easier to identify important information for every tourism activity in Pekanbaru. The results of this study are the design and product of an intelligent poster using NFC on an Android smartphone that can help users achieve information so that it is more effective and efficient.
USABILITY EVALUATION ON THE NEW STUDENT ADMISSIONS SYSTEM USING THE HEURISTIC EVALUATION METHOD nurhaliza azzini; Idria Maita; Tengku Khairil Ahsyar; Fitriani Muttakin; Siti Monalisa; Arif Marsal
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 10 No 2 (2023): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v10i2.4099

Abstract

The Dumai College of Technology (STT) has implemented a New Student Admission System for prospective students to register online. Based on the results of interviews with the SPMB manager, during its implementation there has never been a usability evaluation. So that the SPMB manager does not know what user needs or problems experienced by system users are. Therefore, researchers conducted usability research. The purpose of this study is to measure the success rate of the New Student Admission System by using the Heuristic Evaluation method so that it can provide recommendations to the manager of the New Student Admission System for future system improvements to meet user needs. The results of the research questionnaire there are 93 data respondents who use SPMB. Based on the results of the usability evaluation on the STT Dumai New Student Admission System, it was found that the total percentage of respondents was found to be 65.2% which can be said that the SPMB STT Dumai was "Good", while the results of the total percentage of respondents were not found, namely 34.8% which can be said to be "Not Good" for the SPMB STT Dumai. ” for system users. From the usability results found 4 statements that get the lowest percentage value which means it is not successful and needs to be improved. The results of the recommendations obtained in the SPMB can be used as an illustration for improvement.
Pendekatan Machine Learning: Analisis Sentimen Masyarakat Terhadap Kendaraan Listrik Pada Sosial Media X Gathot Hanyokro Kusuma; Inggih Permana; Febi Nur Salisah; M. Afdal; Muhammad Jazman; Arif Marsal
JUSIFO : Jurnal Sistem Informasi Vol 9 No 2 (2023): December
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v9i2.21354

Abstract

Environmental issues and the depletion of fossil fuels continue to escalate as the number of fossil fuel-based vehicle users increases in Indonesia. Electric vehicles emerge as one of the potential alternative solutions to address current environmental challenges, given their eco-friendly nature and lack of pollution emissions. Sentiment analysis is conducted to understand public responses, both supportive and opposing, towards electric vehicles. This research aims to analyze the sentiment of X-social media users regarding electric vehicles using machine learning techniques. The research stages include data collection, data selection, preprocessing, and classification using Naïve Bayes Classifier (NBC), Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) algorithms. The test results show that on a balanced dataset using ROS, SVM performs the best with accuracy = 68.7%, precision = 77.9%, and recall = 68.4%. Meanwhile, NBC yields an accuracy of 60.3%, precision of 61.3%, and recall of 60.3%, while KNN has an accuracy of 53.9%, precision of 54%, and recall of 53.9%.
User Experience Evaluation of e-Puskesmas in Payakumbuh City using the User Experience Questionnaire Method Furqan Anwari; Eki Saputra; Arif Marsal; Mona Fronita; Muhammad Jazman; Syafril Siregar
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 1 (2025): March
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/z7dkt524

Abstract

Puskesmas in Indonesia are responsible for providing primary health services to the local community. The Community Health Centers (Puskesmas) in Indonesia utilise e-Puskesmas, a web-based system that enables electronic data management and patient services. The newest version, e-Puskesmas Next Generation (NG), was made to allow online interactions, but it has had some technical problems, including duplicate medical data and wrong medication dosages because it doesn't have an allergy detection feature. The UEQ method will be used to rate the user experience of e-Puskesmas. The UEQ measures six factors: attractiveness, efficiency, perspicuity, dependability, stimulation, and novelty. Twenty-one people participated in the evaluation, and the results show that all variables were close to neutral. This means that using the system doesn't make people very happy or sad, but instead stays at an average level. This study confirms that, although e-Puskesmas has the potential to be an effective tool, there is still significant room for improvement, especially in terms of feature customisation and user interface. The "poor" score in the benchmark evaluation indicates that significant improvements in the system's design and functionality are necessary to enhance user satisfaction and healthcare service efficiency. It is hoped that these findings can encourage further development that addresses the existing shortcomings and effectively improves the management of health services at the community health centre
PERANCANGAN DAN PENGEMBANGAN APLIKASI HAJI UMRAH MENGGUNAKAN REACT NATIVE PADA PDA TRAVEL INHU KUANSING Yaldri Oktra Prananda; Muhammad Jazman; Anofrizen Anofrizen; Eki Saputra; Syaifullah Syaifullah; Arif Marsal
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol. 9 No. 1 (2025)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v9i1.5013

Abstract

PDA Travel Inhu Kuansing merupakan biro travel haji dan umrah wilayah Indragiri Hulu dan Kuantan Singingi. Merupakan partner dari PT. PDA Tigi Maaya (PDA Travel). PDA Travel Inhu Kuansing berada dalam naungan manajemen CV. Sumatera Elang Perkasa. Didalam proses bisnis PDA Travel Inhu Kuansing masih terdapat masalah menjadi kendala dalam pengolahan administrasi masih secara manual, pendaftaran belum memakai sistem digitalisa dan promosi paket dalam lingkup yang terbatas. Dari kendala yang ada muncul topik untuk mencari solusi. Dilakukanlah penelitian dengan tujuan untuk merancang dan mengembangkan sebuah aplikasi berbasis mobile. Aplikasi dibuat untuk membantu manajemen dalam pendaftaran, pengolahan data dan memberikan informasi paket perjalanan dan wisata kepada masyarakat indragiri hulu dan kuantan singingi. Pengembangan aplikasi menggunakan framework react native dan Firebase. Metode pengembangan menggunakan Devops lifecycle. DevOps terdiri dari planning, coding, build, testing, release, deployment, operate, monitor. Banyak tools yang direkomendasi pada devops seperti Jenkins, GitLab, Docker, Firebase deployment yang dipakai sesuai kebutuhan dalam tahapan DevOps. Hasil akhir penelitian ini berupa aplikasi travel haji dan umrah yang dibangun mengunakan react native. Pada masa depan diharapkan penggunaan tools automasi yang direkomendasikan devops untuk pengembangan aplikasi. Pembuatan fitur lebih baik dari yang ada pada aplikasi saat ini.
Implementasi Fine Tuning Menggunakan Metode QLoRA Pada Sistem Tanya Jawab Hadits Muhammad Azmi; Fitra Kurnia; Nazruddin Safaat Harahap; Muhammad Irsyad; Pizaini; Arif Marsal
Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Vol. 4 No. 1 (2026): JURNAL PENGEMBANGAN TEKNOLOGI INFORMASI DAN KOMUNIAKSI (JUPTIK)
Publisher : Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/juptik.v4i1.4349

Abstract

Hadits Islam merupakan sumber hukum kedua dalam ajaran Islam, namun penerapan Large Language Model (LLM) pada domain ini menghadapi masalah halusinasi faktual dan kesalahan atribusi sitasi. Penelitian ini mengembangkan sistem tanya jawab hadits berbasis Qwen 2.5 7B Instruct melalui tiga tahap. Pertama, Supervised Fine tuning (SFT) dengan Quantized Low-Rank Adaptation (QLoRA) pada 988 pasangan instruksi-respons yang dipilih dari 1.730 data mentah menggunakan Instruction Following Difficulty (IFD) Scoring berbasis rasio perplexity pada rentang P20–P80. Kedua, Direct Preference Optimization (DPO) Iterasi 1 dengan strategi off-policy menyebabkan regresi perilaku model akibat perbedaan distribusi data. Ketiga, DPO Iterasi 2 dengan strategi on-policy penuh menghasilkan respons chosen (T=0,1) dan rejected (T=0,9) dari model SFT yang sama, menghasilkan 509 pasangan valid. Komponen Hybrid Retrieval-Augmented Generation (RAG) mengindeks 65.811 hadits dari 11 kitab di Qdrant Cloud menggunakan BGE-M3 dan BM25 dengan Reciprocal Rank Fusion. Evaluasi RAGAS v0.2.6 dengan hakim GPT-4o dan BERTScore berbasis xlm-roberta-base menunjukkan DPO Iterasi 2 memperoleh Faithfulness lebih tinggi (0,676 vs 0,633), Context Precision sempurna (1,000) pada kedua model, dan BERTScore F1 yang setara (0,8621 vs 0,8615). Temuan ini mengonfirmasi bahwa strategi on-policy DPO menghasilkan keselarasan perilaku yang lebih stabil untuk model bahasa domain-spesifik.
Co-Authors Anofrizen Anofrizen Astri Ayu Purwati Eki Saputra Febi Nur Salisah Fitra Kurnia Fitriani Muttakin Furqan Anwari Gathot Hanyokro Kusuma Inggih Permana M. Afdal Mona Fronita Muhammad Azmi Muhammad Irsyad Muhammad Jazman Muhammad Luthfi Hamzah Nazaruddin Nazaruddin Nazruddin Safaat H nurhaliza azzini Pizaini Pizaini Sarbaini Sarbaini Siti Monalisa Sutoyo Sutoyo Syafril Siregar Syaifullah Syaifullah Tengku Khairil Ahsyar Yaldri Oktra Prananda