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All Journal JDM (Jurnal Dinamika Manajemen) JUSIFO : Jurnal Sistem Informasi Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Sistemasi: Jurnal Sistem Informasi Briliant: Jurnal Riset dan Konseptual Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Sistem Cerdas EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Riwayah : Jurnal Studi Hadis Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Pendidikan dan Teknologi Indonesia J-SAKTI (Jurnal Sains Komputer dan Informatika) Indonesian Journal of Informatic Research and Software Engineering Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Informatics, Electrical and Electronics Engineering The Indonesian Journal of Computer Science
Arif Marsal
Fakultas Sains dan Teknologi Universitas Islam Negeri (UIN) Sultan Syarif Kasim Riau
Religion Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Other

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Pendekatan Machine Learning: Analisis Sentimen Masyarakat Terhadap Kendaraan Listrik Pada Sosial Media X Kusuma, Gathot Hanyokro; Permana, Inggih; Salisah, Febi Nur; Afdal, M.; Jazman, Muhammad; Marsal, Arif
JUSIFO : Jurnal Sistem Informasi Vol 9 No 2 (2023): JUSIFO (Jurnal Sistem Informasi) | December 2023
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%.
A Comparative Study of the Performance of KNN, NBC, C4.5, and Random Forest Algorithms in Classifying Beneficiaries of the Kartu Indonesia Sehat Program Nabillah, Putri; Permana, Inggih; Afdal, M.; Muttakin, Fitriani; Marsal, Arif
JUSIFO : Jurnal Sistem Informasi Vol 10 No 1 (2024): JUSIFO (Jurnal Sistem Informasi) | June 2024
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.v10i1.21536

Abstract

This study evaluates the performance of various algorithms in determining eligible recipients for the Kartu Indonesia Sehat program. The Random Forest algorithm demonstrated the highest accuracy, precision, and recall, with values of 72.08%, 72.41%, and 99.64%, respectively. The emphasis on recall helps minimize errors in identifying eligible recipients. Additionally, the C4.5 algorithm reduced the total number of variables from 33 to 8, highlighting its computational efficiency. The findings provide valuable insights for the Social Affairs Office of Dumai City in making informed decisions regarding KIS eligibility. The results underscore the effectiveness of using algorithmic approaches to enhance the accuracy and efficiency of aid distribution processes.
Aplikasi Hitung Waris Menurut Syariat Agama Islam Berbasis Android: Android Based Aplication for Counting Inheritance According to Islamic Religion Pratama, Muhammad Wahyu; Marsal, Arif
Indonesian Journal of Informatic Research and Software Engineering (IJIRSE) Vol. 4 No. 1 (2024): Indonesian Journal of Informatic Research and Software Engineering
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/ijirse.v4i1.1351

Abstract

Hukum kewarisan Islam yaitu hukum yang mengatur tentang pemindahan hak pemilikan harta peninggalan tarikah pewaris, menentukan siapa-siapa yang berhak menjadi ahli waris dan berapa bagian masing-masing. Perhitungan secara manual yang masih dilakukan dapat menghabiskan banyak waktu dan juga sering terjadi kesalahan dalam perhitungan. Tujuan dari penelitian ini adalah membangun Aplikasi Hitung Waris Menurut Syariat Agama Islam Berbasis Android yang mampu menyimpan hasil perhitungan. Pembuatan aplikasi ini menggunakan metode Waterfall. Berdasarkan hasil pengujian menggunakan User Acceptance Test dan Black Box didapat keseluruhan penilaian aspek pengguna aplikasi yaitu setuju (79,8%), serta secara fungsional menghasilkan hasil yang diharapkan.
Entrepreneurial Orientation and MSME’s Tourism Performance: The Mediating Role of Social Media Capability Parlyna, Ryna; Susanto, Perengki; Abror, Abror; Marsal, Arif
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.377

Abstract

This study explores the mediating role of social media capability on entrepreneurial orientation (EO) and MSME’s tourism performance in DKI Jakarta Province, Indonesia (MP). MSMEs contributes largely to Indonesia's economy. However, these enterprises often struggle with limited resources leading to weaker performance. The research problem centers on identifying factors that can enhance the MP, mainly through EO and SMC. The objective is to investigate both EO's direct impact on MP and SMC's mediating role. Quantitative research was used, utilizing a survey-based method with data collected from 300 MSME owners and managers in the tourism sector. Structural Equation Modeling (SEM) was used to examine the relationships between EO, SMC and MP. The results reveal a favorable positive relationship between EO and MP, with a path coefficient (β) of 0.425 and a p-value of 0.000. It underscores the importance of EO in intensifying the MP. It also found that EO significantly affects SMC, with a path coefficient (β) of 0.353 and a p-value of 0.000. This suggests that MSMEs with a strong EO are expected to enhance SMC. SMC was also found to have a positive and favorable effect on MP, with a path coefficient (β) of 0.179 and a p-value of 0.001. This suggest that SMC is crucial for improving MP. It also confirmed the mediating role of SMC in the relationship between EO and MP, with an indirect path coefficient (β) of 0.063 and a p-value of 0.006. It proposed that EO directly enhanced MP through SMC. However, the study is narrowed by its focal point on a specific geographic area and sector, which may impact the relevancy of the results. Forthcoming study could address these limitations by exploring different contexts. This study contributes to broaden the literature on the mediating role of SMC in the EO- MP in DKI Jakarta, Indonesia.
Perbandingan Performa Algoritma RNN dan LSTM dalam Prediksi Jumlah Jamaah Umrah pada PT. Hajar Aswad: Comparison of RNN and LSTM Algorithm Performance in Predicting the Number of Umrah Pilgrims at PT. Hajar Aswad Al Kiramy, Razanul; Permana, Inggih; Marsal, Arif; Munzir, Medyantiwi Rahmawita; Megawati, Megawati
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 4 (2024): MALCOM October 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i4.1373

Abstract

Secara bahasa umrah bermakna ziarah atau berkunjung, sedangkan secara istilah umrah adalah perjalanan ke Baitullah di luar waktu haji dengan tujuan melaksanakan ibadah tertentu dan memenuhi syarat-syarat khusus. PT Hajar Aswad merupakan sebuah perusahaan travel umrah yang beroperasi di Indonesia. PT Hajar Aswad bertanggung jawab untuk mengatur perjalanan, akomodasi, transportasi, dan berbagai keperluan lainnya bagi para jemaah umrah, untuk itu perlu memiliki pemahaman yang baik mengenai pola dan tren jumlah jemaah umrah agar dapat mengoptimalkan operasional dan memberikan pelayanan yang memuaskan kepada jamaah. Oleh karena itu penelitian ini dilakukan untuk memprediksi jumlah jamaah umrah pada PT Hajar Aswad menggunakan algoritma RNN dan LSTM agar PT Hajar Aswad. . Hasil perbandingan kedua algoritma menunjukkan bahwa LSTM mampu memberikan hasil prediksi yang sedikit lebih baik dibandingkan RNN dengan parameter window size 7, optimizer Adam, batch size 8, dan learning rate 0,01. Model ini memiliki nilai RMSE sebesar 0,1758, MAPE sebesar 0,4846, dan R2 sebesar 0,5198.
ANALYSIS OF CONTINUANCE USE INTENTION OF TIKTOK AS EDUCATIONAL INFORMATION WITH EXPECTATION CONFIRMATION MODEL (ECM) AND INFORMATION SYSTEM SUCCES MODEL (ISSM) Nanda Nazira; Syaifullah, Syaifullah; Megawati, Megawati; Saputra, Eki; Marsal, Arif
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2184

Abstract

Social media is one of the main technologies currently used by billions of people around the world, especially TikTok. TikTok contains popular content such as comedy, dancing, and increasingly educational information. TikTok presents the #SerunyaBelajar program with 1.4 million posts. Despite the existence of interesting programs, problems were found such as inappropriate keywords about education, short video duration, inconsistent quality of information and distraction. So TikTok needs to focus on user satisfaction and retention by continuing to innovate. The purpose of this study is to measure satisfaction and intention to continue using TikTok as educational information. This study uses 2 models, namely the Expectation Confirmation Model with four variables (confirmation, perceived usefulness, satisfaction, and intention to continue) and the Information System Success Model with two variables (system quality and information quality). Respondents used totaled 96 TikTok users who accessed educational content and were processed using SEM-PLS. This study found that confirmation (T: 19.558) affects perceived usefulness. Thus, many users feel that TikTok provides useful features. In addition, satisfaction (T: 6.364) and continuance intention (T: 3.602) are influenced by perceived usefulness related to TikTok. And satisfaction (T: 3.809) influences TikTok users' continued intention to access educational content..
analisis Analisis Pengaruh Dimensi Budaya Terhadap Penggunaan Aplikasi Capcut Menggunakan UTAUT2 Ariyansir, Sigit; Syaifullah; Khairil Ahsyar, Tengku; Jazman, Muhammad; Marsal, Arif
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4430

Abstract

This research aims to determine the factors that influence the intention and use of the Capcut application, using Hofstede's extended UTAUT2 model with cultural variables. Data was collected through observation, interviews, document review and questionnaires. The analytical method used is PLS-SEM, with external models, internal models and hypothesis testing. The research results show that of the many hypotheses tested, only H3 (social influence on behavioral intentions), H7b (habits on usage behavior) and H14 (passion/restraint usage behavior) were accepted. Other hypotheses, such as performance expectations, effort expectations, and other cultural dimensions, did not show significant influence on usage intentions and behavior. In conclusion, habitual factors and social influence are the main drivers for adopting the Capcut application, while other factors do not have much influence in the context of this research
Analisis Kepuasan Pengguna Aplikasi LinkAja Menggunakan Metode TAM dan EUCS Nisa', Sayyidatun; Megawati; Zarnelly; Permana, Inggih; Marsal, Arif
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4511

Abstract

Aplikasi LinkAja banyak digunakan karena memudahkan bertransaksi. Namun banyak pengguna mengalami kendala seperti, tidak dapat melakukan pembayaran QRIS, transaksi gagal namun saldo sudah terpotong, dan kesulitan mengupgrade ke LinkAja full service. Penelitian ini bertujuan menganalisis tingkat kepuasan pengguna aplikasi LinkAja dengan mengintegrasikan metode Technology Acceptance Model (TAM) dan End User Computing Satisfaction (EUCS). Berdasarkan perhitungan Lemeshow, responden dalam penelitian ini sebanyak 100 orang. Pengumpulan data dilakukan dengan menyebarkan kuesioner kepada pengguna aplikasi LinkAja. Temuan penelitian menunjukkan bahwa 5 hipotesis diterima, yaitu persepsi kemanfaatan, isi, akurasi, bentuk, dan sikap terhadap penggunaan. Sementara 3 hipotesis ditolak, yaitu persepsi kemudahan penggunaan, kemudahan penggunaan, dan ketepatan waktu. Hasil PLS-SEM menunjukkan bahwa kepuasan pengguna memiliki pengaruh positif. Ditunjukkan oleh korelasi kuat antara tiap variabel, dengan nilai R-Square kepuasan pengguna sebesar 84,6%. Ini menunjukkan bahwa aplikasi LinkAja menjalankan fungsinya dengan baik sehingga pengguna merasa puas ketika menggunakannya.
Pengembangan Sistem Informasi Berbasis FEFO untuk Pengendalian Obat Kadaluwarsa di Apotek Rahman Tasia, Ena; Saputra, Eki; Muttakin, Fitriani; Marsal, Arif
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 1 (2025): JPTI - Januari 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.554

Abstract

Apotek merupakan salah satu fasilitas layanan kefarmasian yang bertanggung jawab dalam menyediakan obat-obatan. Salah satu tantangan utama dalam pengelolaan apotek yakni memastikan obat-obatan tidak melewati masa kadaluwarsa. Obat yang melewati masa kadaluwarsa akan mengurangi stabilitas obat yang berpotensi membahayakan kesehatan bahkan dapat menimbulkan efek racun  pada tubuh. Apotek rahman, sebagai penyediaan layanan kefarmasian menghadapi kendala dalam melakukan pemantauan stok obat secara real time akibat belum adanya penyediaan sistem digital yang terintegrasi. Peningkatan penjualan apotek rahman menuntut pengelolaan persediaan yang lebih baik lagi untuk memastikan ketersediaan stok dan mencegah kerugian akibat obat kadaluwarsa. Metode First Expired First Out (FEFO)  menjadi solusi untuk memperioritaskan penggunaan obat yang mendekati masa kadaluwarsa. Penelitian ini bertujuan mengembangkan sistem informasi pengendalian obat kadaluwarsa menggunakan metode FEFO di Apotek Rahman. Sistem ini dirancang dengan V-Model sebagai metodologi pengembangan, serta menggunakan teknologi barcode scanning untuk meningkatkan efisiensi operasional. Hasil pengujian menunjukkan bahwa sistem berhasil menjalankan semua fungsionalitas dengan persentase keberhasilan pengujian blackbox sebesar 100% dan tingkat penerimaan pengguna (UAT) sebesar 80,53%. Sistem ini diharapkan mampu meningkatkan efisiensi pengelolaan stok obat, mengurangi risiko kerugian akibat obat kadaluwarsa, dan mendukung layanan farmasi yang lebih baik.
Analisis Manajemen Risiko Keamanan Sistem Pengolahan Data Accurate Menggunakan Metode OCTAVE-S Butar, Fajar Rido Butar; Saputra, Eki; Marsal, Arif; Hamzah, Muhammad Luthfi; Fronita, Mona
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.676

Abstract

PT.XYZ is a palm oil company currently implementing the Accurate data processing system to manage data at its factory. This system is utilized for weighing incoming palm fruit, processing palm fruit within the factory, and generating various reports. However, during the implementation process, the system has encountered several threats that have had an impact on the company. These threats include connection errors, human errors, and server downtime. To address these issues, a threat risk analysis is necessary to minimize the likelihood of similar problems occurring in the future. In this study, the OCTAVE-S method is employed as it offers solutions for managing other threats. The risk analysis results indicate that there are six security practices that pose a high risk to the company's system security. These practices are IT Security Monitoring and Audit, Authorization and Authentication, Vulnerability Management, Encryption, Security Planning and Architecture, and Incident Management. Based on these findings, it is recommended that the company conducts a review of its security practices to prevent the emergence of new risks that may affect its business processes.
Co-Authors Abror Abror Adillah, Suci Nur Al Kiramy, Razanul Al-Yasir, Al-Yasir Alfian, Zhevin Angraini Angraini Anofrizen Anofrizen Ariansah, Rizky Ariyansir, Sigit Arrazak, Fadlan Butar Butar, Febiola Siska Butar, Fajar Rido Butar Chandra, Agus Firdaus Daulay, Suandi Dermawan, Tri Eki Saputra Fahlepi, Ridho Febi Nur Salisah Febrian, Dany Fikri, Nidhal Hamzah, Muhammad Luthfi Harmaniola, Elsa Hayati, Safira Malia Ikromi, Zul Inggih Permana Jazman, Muhammad Kurniawansyah, Fito Cahya Kusuma, Gathot Hanyokro M. Afdal M. Afdal, M. Afdal M.Afdal Megawati Megawati - Mona Fronita, Mona Munzir, Medyantiwi Rahmawita Mustakim Mustakim Muttakin, Fitriani Nabillah, Putri Nailul Amani Nanda Nazira Naufal Fikri, R. Adlian Nazaf, Latiful Nisa', Sayyidatun Novita Sari Perengki Susanto Praniffa, Anisya Caty Pratama, Arya Yendri Pratama, Muhammad Wahyu Putera, Thariq Pratama Putri, Amanda Iksanul Rice Novita Rozanda, Nesdi Evrilyan Ryna Parlyna, Ryna Sari, Gusmelia Puspita Siregar, Muslim Putra Perdana Susanti, Pingki Muliya Susanto, Parengki Syaifullah Syaifullah Syaifullah Tasia, Ena Tengku Khairil Ahsyar Yanti, Rahma Yunus, Adynata bin Zarnelly Zarnelly Zarnelly