Article Per Year (5 Year)
p-Index From 2021 - 2026
5.342
P-Index
This Author published in this journals
All Journal Jupiter Jurnal Informatika Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Informasi dan Komputer Jurnal Teknologi Komputer dan Sistem Informasi BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informatika dan Komputer Jurnal Pengabdian Dharma Wacana International Research on Big-data and Computer Technology (IRobot) Jurnal Abdimas Bina Bangsa Journal Computer Science and Informatic Systems : J-Cosys SIENNA Jurnal TAM (Technology Acceptance Model) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Syaputra, Muhammad Adie
STMIK Dharma Wacana
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

Published : 41 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 41 Documents
Search

 1   2   3   4   5 
Pelatihan Pengemasan Produk Pupuk Organik Limbah Jerami Padi Di Kelompok Tani Linggapura IV Lampung Timur Syahputra, Fikri; Undadraja, Bigi; Syaputra, Muhammad Adie
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 4 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v5i4.11089

Abstract

Kelompok tani linggapura IV merupakan anggota masyarakat yang memiliki usahatani berbasis tanaman padi. Aktifitas anggota kelompok tani terhadap tanaman padi berfokus pada kegiatan budidaya. Usahatani padi dilakukan sebanyak dua kali dalam setahun untuk memenuhi kebutuhan pangan dan penghasilan keluarga. jumlah produksi yang dihasilkan dari setiap musim panen rata-rata mencapai 4-5 ton/hektar. Jumlah produksi yang tinggi akan berdampak pada limbah Jerami padi yang dihasilkan. Jerami padi yang dihasilkan mencapai 600-750 kwintal tiap musim panen. Limbah jerami padi yang dihasilkan diolah menjadi pupuk organik padat maupun pupuk organik cair. Permasalahan utama yang dihadapi oleh anggota kelompok tani yaitu belum memiliki pemahaman dan pengetahuan pengemasan produk pupuk organik yang menarik dan mampu bertahan lama. Tujuan pengabdian kepada masyarakat ini adalah memberikan penyuluhan, pelatihan dan pendampingan tentang pengemasan produk pupuk organik padat dan cair dengan kemasan menarik dan aman sehingga layak dipasarkan. Metode yang diterapkan pada pengabdian ini dengan cara sosialisasi, penyuluhan dan pelatihan pengemasan produk pupuk organik padat dan pupuk organik cair dengan menggunakan teknologi modern. Hasil dari pengabdian kepada masyarakat adalah meningkatnya pengetahuan dan keterampilan anggota kelompok tani dalam mengemas produk pupuk organik. Pupuk organik pada dikemas dalam bentuk variasi kemasan plastik sedangkan pupuk organik cair (POC) dikemas dengan menggunakan botol plastik serta telah diberi label produk
Sentiment Analysis of Telegram App Reviews on Google Play Store Using the Support Vector Machine (SVM) Algorithm Nevrada, Nofsa Atia; Syaputra, Muhammad Adie
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8851

Abstract

This study aims to analyze the sentiment of Telegram application reviews on the Google Play Store using the Support Vector Machine (SVM) algorithm. From a total of 14,700,000 initial reviews, a sampling technique was carried out to obtain 400 review data, which then went through the pre-processing stage to produce 345 review data to be classified. The SVM model used showed good performance with an accuracy of 81.16%, precision in the positive class reached 93%, recall in the negative class of 94%, and an average f1-score of around 81%. However, there was a discrepancy between the high rating and the content of the review, which highlighted the existence of high-rated reviews that contained criticism or vice versa. The confusion matrix analysis also showed some misclassification, where reviews should be categorized as positive sentiment but detected as negative, and vice versa. This research is expected to provide valuable feedback for Telegram application developers to improve the quality of service, although the results of this analysis have not been fully discussed in practice. The limitation of this study is that it only tested reviews that used Indonesian, which limited the scope of the findings to the context of local users.
Energy Efficiency and Time Management through IoT-Based Automated Electrical Control System and Digital Prayer Schedule Integration Syaputra, Muhammad Adie; Sutomo, Budi; Saprudin, Usep; Putra, Muhammad Aqida
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8848

Abstract

This study aims to develop an Internet of Things (IoT)-based automated electrical control system integrated with a digital prayer schedule to enhance energy efficiency and time management in mosques. Using IoT devices, electronic equipment such as air conditioners, lights, and loudspeakers can be automatically controlled according to prayer times, reducing energy waste and minimizing fire risks due to negligence in operating electrical devices. The study employs a prototyping method, where a system prototype is tested to evaluate its performance and effectiveness. A machine-to-machine bridge communication model is implemented to integrate the digital prayer schedule with mosque electrical devices. The research results are expected to provide an environmentally friendly technological solution while improving mosque operational efficiency. However, technical challenges, such as integrating the system with older electrical infrastructure, limited internet connectivity, and user readiness to operate new technology, must be addressed. Thus, this study contributes not only to energy efficiency but also to improving mosque management quality through digital technology.
The Role of Marketplaces in Assisting MSME Growth Using the Systematic Literature Review Method Sari, Rizqi Kurnia; Syaputra, Muhammad Adie
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.8981

Abstract

Digital technology provides significant opportunities for Micro, Small, and Medium Enterprises (MSMEs) to grow and innovate, contributing to national economic growth. This study aims to analyze the role, impact, and supporting factors of marketplaces in fostering MSME development in Indonesia. Using the Systematic Literature Review (SLR) method, 103 journals were identified through Publish or Perish via Crossref for the 2019–2024 period. These journals were then filtered down to 40 journals selected for descriptive analysis. The 2019–2024 timeframe was chosen as it reflects a significant surge in marketplace adoption during the COVID-19 pandemic.The findings reveal that marketplaces significantly enhance MSMEs by increasing market reach by up to 40%, improving operational efficiency through a 30% reduction in order processing time, and building customer trust through reviews and ratings. The study also highlights the importance of supporting factors such as adequate digital infrastructure, digital literacy, and support from the government and platform providers. However, challenges such as limited internet access, low digital literacy, high commission fees, and intense competition with larger brands hinder the optimal use of marketplaces by MSMEs.This study recommends several practical solutions, including strengthening digital infrastructure, subsidizing internet costs, providing digital literacy training, and offering special promotion programs for small MSMEs. Although this study relies on secondary data, the findings provide relevant insights for policymakers, platform providers, and MSME actors. Further studies using primary data are needed to enhance the generalizability of these findings.
Design Of Information Technology (IT) Governance Using Framework Cobit 2019 Subdomain APO01 Mezan el-Khaeri Kesuma; Ricco Herdiyan Saputra; Muhammad Adie Syaputra; Muhammad Reza Romahdoni
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 5, No 3 (2022): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v5i3.1193

Abstract

The purpose of this research is to apply the 2019 Cobit Framework to build an IT Governance design in Instidla. This research belongs to the type of descriptive qualitative research. The method used in making this system is to analyze the relationship of the state of the data and collect data by field research methods, namely by conducting interviews, literature studies and questionnaires. Based on the results of the capability level obtained and the target level as expected, it can be concluded that the gap analysis in the APO01 process is at level 1, which means that the Instidla process more or less achieves its objectives through the implementation of a series of activities that are incomplete or not very organized.
Information Technology Audit at LKP FARAFI Using the Cobit 2019 Framework Anisa, Livia Nur; Syaputra, Muhammad Adie
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 2 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i2.2764

Abstract

In the era of globalization, IT infrastructure needs to be supported by an evaluation system where the evaluation is needed to assess and consider whether the work processes that have been implemented are feasible or need further improvements. This study aims to conduct an information technology governance audit at LKP FARAFI using the COBIT 2019 framework with a focus on two process domains, namely DSS01 (Manage Operations) and DSS06 (Manage Business Process Controls). At LKP FARAFI there are problems in the activities of managed human resources and managed data. To ensure the process runs smoothly, the researcher conducted an audit process with the stages of Literature Study, Interviews and Questionnaires. This audit was motivated by problems in data management and human resources that are not optimal. The data analysis methods used in this study are Opportunity Analysis and GAP Analysis. The IT processes used are DSS01 and DSS06. The measurement results show that the level of process capability in the DSS01 and DSS06 domains is still at level 1 (Performed Process), while the expected level is level 4 (Quantitatively Managed Process). The average GAP in the DSS01 process was 2.66 and DSS06 was 2.48, indicating a significant gap between the existing and target conditions. Based on the results of the study, recommendations were given to improve the IT capabilities at LKP FARAFI, which currently reaches level 1.
ANALISIS SENTIMEN ULASAN APLIKASI SHOPEE PARTNER DAN TOKOPEDIA SELLER PADA GOOGLEPLAYSTORE MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER Reanjani, Bakti Ladispa; Syaputra, Muhammad Adie
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3712

Abstract

Abstract: This study focuses on sentiment analysis of user reviews for the Shopee Partner and Tokopedia Seller applications on Google Play Store using the Naïve Bayes Classifier method. A total of 20,000 user reviews were collected, with 10,000 reviews for each application. The research process included data collection, sentiment labeling, data cleaning, text preprocessing, and classification using Multinomial Naïve Bayes. The analysis results indicate that Shopee Partner reviews were dominated by negative sentiments, achieving an accuracy of 84%, precision of 87%, recall of 92%, and an f1-score of 90%. Conversely, Tokopedia Seller reviews were primarily positive, with an accuracy of 85%, precision of 92%, recall of 83%, and an f1-score of 87%. Data visualization revealed that Shopee Partner had 6,455 negative reviews and 2,324 positive reviews, while Tokopedia Seller recorded 3,728 negative reviews and 5,441 positive reviews. This study concludes that Tokopedia Seller better meets user expectations compared to Shopee Partner. Furthermore, it reaffirms the effectiveness of the Naïve Bayes Classifier as a tool for sentiment analysis. Keyword: Sentiment Analysis, Shopee Partner, Tokopedia Seller, Naïve Bayes Classifier.  Abstrak: Studi ini berfokus pada analisis sentimen ulasan pengguna terhadap aplikasi Shopee Partner dan Tokopedia Seller di Google Play Store dengan menggunakan metode Naïve Bayes Classifier. Sebanyak 20.000 ulasan pengguna dikumpulkan, masing-masing 10.000 ulasan untuk setiap aplikasi. Proses penelitian mencakup pengumpulan data, pelabelan sentimen, pembersihan data, praproses teks, dan klasifikasi menggunakan Multinomial Naïve Bayes. Hasil analisis menunjukkan bahwa ulasan untuk Shopee Partner didominasi oleh sentimen negatif, dengan akurasi sebesar 84%, presisi 87%, recall 92%, dan f1-score 90%. Sebaliknya, ulasan Tokopedia Seller didominasi oleh sentimen positif, dengan akurasi 85%, presisi 92%, recall 83%, dan f1-score 87%. Visualisasi data menunjukkan bahwa Shopee Partner memiliki 6.455 ulasan negatif dan 2.324 ulasan positif, sedangkan Tokopedia Seller mencatat 3.728 ulasan negatif dan 5.441 ulasan positif. Studi ini menyimpulkan bahwa Tokopedia Seller lebih mampu memenuhi harapan pengguna dibandingkan Shopee Partner. Selain itu, penelitian ini menegaskan efektivitas metode Naïve Bayes Classifier sebagai alat analisis sentimen. Kata kunci: Analisis Sentimen, Shopee Partner, Tokopedia Seller, Naïve Bayes Classifier.
ANALYSIS OF ONLINE ACADEMIC INFORMATION SYSTEMS (SIAKAD) USING COBIT 2019 FRAMEWORK (CASE STUDY OF STMIK DHARMA WACANA METRO) Herlida, Dian Rama; Syaputra, Muhammad Adie
Jurnal TAM (Technology Acceptance Model) Vol 15, No 1 (2024): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v15i1.1644

Abstract

STMIK Dharma Wacana Metro as a university that has implemented information technology in its business processes, with information technology it is hoped that it can advance and become a supporter in achieving business process goals. In supporting and carrying out its business processes, STMIK Dharma Wacana Metro City has used the Academic Information System (SIAKAD), which functions in managing academic services, finance and accounting, libraries, student services, collaboration, research and publications. Academic information system management that is not well managed will have an impact on low service quality, which can affect the level of stakeholder trust in the institution. Thus, there is a need for Information Technology Governance Analysis in Academic Information Systems (SIAKAD). The governance audit was carried out using the COBIT 2019 framework with the Delivery Support and Service (DSS) domain. Audit results using the COBIT 2019 framework are used to find out how SIAKAD performs in organizations which will later be able to provide recommendations to support business processes
DAMPAK PENGGUNAAN MEDIA SOSIAL DENGAN METODE SYSTEMATIC LITERATURE REVIEW Elfira, Galluh Yogi; Syaputra, Muhammad Adie
Jurnal TAM (Technology Acceptance Model) Vol 15, No 1 (2024): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v15i1.1661

Abstract

The various effects of social media can impact individuals, society, even institutions and organizations. This research aims to study the effects of using social media on the platforms most frequently used by users, both from positive and negative aspects, through literature analysis using the Systematic Literature Review method by collecting data from relevant journals from 2019 to 2023. Based on the SLR results, researchers found 70 journals in a search using Publish or Perish via Crossref. These journals were then filtered into 43 journals selected for descriptive analysis. The SLR results show that from 2019-2023, Instagram becomes the dominant platform with positive impacts, and structured methods dominate. 
PENGELOMPOKAN MAHASISWA BERDASARKAN MOTIVASI BELAJAR MENGGUNAKAN K-MEANS (STUDI KASUS: PRODI SISTEM INFORMASI STMIK DHARMA WACANA) Hanifah, Yolanda; Syaputra, Muhammad Adie
Jurnal TAM (Technology Acceptance Model) Vol 15, No 1 (2024): Jurnal TAM (Technology Acceptance Model)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v15i1.1663

Abstract

Student motivation to learn can be seen from the student's initiative in using their time to study. There are several factors that influence students to be motivated in learning. In this study, researchers used variables in the form of intrinsic motivation, extrinsic motivation, learning goals, learning satisfaction, learning attitudes and perceived value to find out students who had high, medium or low motivation. This research uses K-Means to group students based on learning motivation to find out how much motivation students have in learning.
Co-Authors Ade Indriani Aditya Fikri Haikal Anisa Anisa Anisa, Livia Nur Apri Riyawan Apsiswanto, Untoro Budi Sutomo Budi Sutomo Budi Sutomo Budi Sutomo Budi Sutomo, Budi Cacah Firmansyah Dede Mulyana Edwin Naista Elfira, Galluh Yogi Febri Bayu Prasetiyo Febri Sugandi Fikri Syahputra Fikri Syahputra Hairunnisa, Afifah Hanifah, Yolanda Herlida, Dian Rama Irma Fatima Khoirul Maulana Yusuf kosasih, sidik Kurnia Wulan Suci Kurnia Wulan Suci Maryati Maryati Mezan el-Khaeri Kesuma Muhammad Nur Ikhsanto, Muhammad Nur Muhammad Reza Redo Islami Muhammad Reza Romahdoni Muharni, Sita Nevrada, Nofsa Atia Noviditia, Saskia Nurdiyanto, Heri Nurul Astika Ningrum Prabowo, Andi Putra, Muhammad Aqida Putri, Ayu Afrida Reanjani, Bakti Ladispa Rengga Adinata Ricco Herdiyan Saputra Ridwan Yusuf Saprudin, Usep Sari, Rizqi Kurnia Setiawan, Sukma Sulistiyanto Sulistiyanto Sulistiyanto Sulistiyanto, Sulistiyanto Syadiah, siti Khalimatus Tri Aristy Saputri Undadraja, Bigi Usep Saprudin zulkarnain zulkarnain