Article Per Year (5 Year)
p-Index From 2021 - 2026
1.152
P-Index
This Author published in this journals
All Journal SMATIKA Jurnal Surya Medika Jurnal Nasional Komputasi dan Teknologi Informasi Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Indonesian Journal of Electrical Engineering and Computer Science JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)
Bayu Nugraha
Universitas Sari Mulia
Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Neuroscience Public Health Transportation

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search

 1 
Formulasi Buah Tampoi (Baccaurea macrocarpa) dalam Sediaan Masker Gel sebagai Antiaging Ika Avrilina Haryono; Noval Noval; Bayu Nugraha
Jurnal Surya Medika (JSM) Vol 6 No 2 (2021): Jurnal Surya Medika (JSM)
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/jsm.v6i2.2126

Abstract

Antioxidants are able to suppress free radicals, reducing the occurrence of oxidation reactions, and are also effective in preventing skin damage due to the aging process. The use of tampoi fruit extract as a gel mask preparation could have a purpose as an antioxidant to treat skin problems. The method is an experimental laboratory by making a gel mask preparation from tampoi fruit. The making of a gel mask begins with mixing the base mask consisting of PVA (Polyvinyl Alcohol), Propylene Glycol, Carbomer 940 then added with tampoi fruit extract. The tampoi fruit gel mask formulation in this study was made based on variations in PVA of FI (3%), FII (6%), FIII (12%), and FIV (18%) which aims to determine its effect and the most optimal formula. The steps taken include the extraction of tampoi fruit, making gel masks with 4 formulas F1 (3%), F2 (6%), F3 (12%), and F4 (18%) followed by evaluation of formulas which include organoleptic tests, pH test, viscosity test, spreadability test, and adhesion test. Physical stability testing was carried out for 4 weeks. Furthermore, the data were analyzed by using the ANOVA statistical test. The results showed that there was a significant effect on the evaluation of the viscosity test and the adhesion test for each formula. Meanwhile, the pH test and spreadability test did not have a significant effect on each formula. The optimal formula is in F1 with a PVA concentration of 3%.
Analisis Penggunaan M-Attendance Student dengan Pendekatan TAM dan UTAUT Bayu Nugraha; Nurhaeni Nurhaeni; M Rizki Ikhsan
SMATIKA JURNAL Vol 12 No 01 (2022): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v12i01.657

Abstract

M-Attendance is an online attendance system that can simplify the method of recording student attendance so as to reduce errors and speed up verification. This study aims to determine the success rate of implementing the M-Attendance Student system as student attendance at Sari Mulia University (UNISM) using the TAM (Technology Acceptance Model) and UTAUT (Unified Theory of Acceptance and Use of Technology) methods. The TAM method can be used to explain the factors of user behavior towards technology acceptance, user acceptance behavior towards technology, while through UTAUT it can be understood that the user's reaction and perception of technology can affect his attitude in accepting technology use. This study uses all the variables of the two methods. Measurement of the data analyzed in this study using a questionnaire distributed to 100 respondents, namely students at Sari Mulia University.Based on the results of the analysis of the TAM method, it was found that the intention to use the actual effect on the use of the system was 77%, the intention to use was influenced by the attitude towards the use of 41.7% and the perception of the usefulness of 43%, the attitude towards the use was influenced by the perception of the usefulness of 41. 5% and the perception of the ease of use of 49.7%, the perception of the ease of use affects the perception of the usefulness of 87.9%. Meanwhile, based on the results of the analysis of the UTAUT method, it was found that the intention to use and the facilitating conditions affected user behavior by 68% and 31%, usage behavior was only influenced by business expectations by 56% and social influence by 44.6%. Expectations on performance have no effect because they only get a score of 0.13%.
KLASIFIKASI DAN ANALISIS DATASET KOMENTAR VIDEO YOUTUBE MENGGUNAKAN SUPERVISED LEARNING Finki Dona; Ihdalhubbi Maulida; Bayu Nugraha
PROSIDING SEMINASTIKA Vol 3 No 1 (2021): 3rd SEMINASTIKA 2021
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/seminastika.v3i1.232

Abstract

Interaksi di dalam sosial media dapat di lihat dari komentar-komentar sebagai umpan balik dari setiap kegiatan yang ada di media sosial, mulai dari status yang berupa teks, gambar maupun video. Dari berbagai respon pada kolom komentar tersebut diperoleh sebuah informasi dari data yang tidak terstruktur sehingga perlu adanya suatu teknik untuk mendefinisikan nilai informasi Fokus dalam penelitian ini adalah untuk memverifikasi kebenaran dan menggali nilai informasi yang terstruktur sehingga dapat menggambarkan kejadian dan topik yang terhubung dari komentar-komentar yang ada di dalam video youtube yang menjadi objek penelitian ini. Dari hasil pengujian di atas dapat dilihat nilai performa dari hasil pengujian menggunakan metode Naïve Bayes mendapatkan akurasi sebesar 57,50%, sedangkan dengan menggunakan metode KNN mendapatkan akurasi 88.06%..
E-Commerce Recommender For Usage Bandwidth Hotel Sfenrianto Sfenrianto; Melva Hermayanty Saragih; Bayu Nugraha
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp227-233

Abstract

The customer interest is often affected the promotions or product offered it his/her access. The aim of this research is to evaluate the recommendation system, as a promotion model or product offered, on e-commerce to the customer interest. This research focuses on e-commerce which offers the bandwidth internet for a hotel. Firstly, prototype of e-commerce which has recommendation system is built. Then, the eCommerce is evaluated by value creation of an eCommerce. There are four factors value creation, efficiency, lock-in, complementary and novelty based on R. Amit’s and Zott theory. After conducting the evaluation, two factors, efficiency and complementary, are significant to the value creation for eCommerce recommendation, yet the other factors, lock-in and novelty are not significant. This research also confirms that the number of subscribers’ eCommerce increases until 45.06% with using the recommendation than without recommendation.
ANALISIS LOG PENERBANGAN PADA UNMANNED AERIAL VEHICLE (UAV) SEBAGAI BARANG BUKTI DIGITAL Septyan Eka Prastya; Subhan Panji Cipta; Bayu Nugraha
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 5 No. 1 (2020)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v5i1.42

Abstract

Pada beberapa akhir ini, penggunaan perangkat drone oleh masyarakat umum meningkat dengan sangat pesat, presentasi total dari penjualan terus meningkat pesat dari tahunnya, total dari penjualan drone di tahun 2020 diperkirakan akan menyentuh angka $2.28 Bilion. Dengan peningkatan sebesar itu, kemungkinan akan terjadinya penyalahgunaan Unmanned Aerial Vehicle (UAV) dalam menjalankan tindak kejahatan semakin besar. Dari analisis forensik data dengan menggunakan metode static forensic dan live forencic untuk mendapatkan data yang memungkinkan untuk digunakan sebagai barang bukti digital. Diharapkan dapat menggali informasi yang bisa digunakan sebagai barang bukti digital pada UAV dan kontroler, serta mengetahui karakteristik bukti digital pada UAV. Hasil yang menampilkan bahwa terdapat perangkat smartphone yang digunakan sebagai kontroler UAV memiliki peranan yang penting dalam investigasi. Karena didalam perangkat tersebut memiliki nilai informasi bukti digital yang lengkap jika dibandingkan dengan media penyimpanan yang terdapat pada perangkat UAV lainnya. Contohnya dalam penggunaan perangkat drone DJI Phantom 3 Advanced selalu menggunakan GPS pada penerbangannya, file gambar maupun video yang diambil menggunakan kamera pesawat pasti memiliki koordinat lokasi GPS pada metadata didalamnya.
PADDY WETLAND PRODUCTIVITY ANALYSIS WITH LINEAR REGRESSION OF MACHINE LEARNING APPROACH Bayu Nugraha; Agustina Hotma Uli Tumanggor; Mambang; Finki Dona Marleny
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022)
Publisher : Fakultas Teknik Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jtiulm.v7i2.138

Abstract

Paddy is one of the priority crops in agricultural production. South Kalimantan is an area that produces Paddy. In paddy productivity in the southern Kalimantan region, there are paddy wetlands and paddy dryland. The need for paddy production in the southern Kalimantan region can increase or decrease every year. The method used in this study is a linear regression algorithm with a machine learning approach. Linear regression analysis basically predicts a variable's value based on its free variables. Linear regression only predicts variables whose data nature is intervals or ratios. Linear regression analysis can be used to examine the relationship between two or more variables. Linear regression can also make additional assumptions between variables through the most suitable lines of straight-line data points. This study is to determine the relationship between harvest area and productivity. As a result of trials using the machine learning approach, linear regression algorithms show a relationship between harvest and production area. The correlation test results can find relationships between data points so that linear regression can be used to predict. From the relationship between harvest area and productivity, a prediction accuracy of 95% was obtained.
Sistem Informasi Pemesanan Online GOR Jabal Rahmah Kota Banjarmasin Menggunakan Metode Value Creation Irma Noor Lisa; Bayu Nugraha; Ahmad Hidayat; Husni Naparin
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8241

Abstract

Abstrak - Pemesanan lapangan badminton di Gor Jabal Rahmah Kota Banjarmasin masih dilakukan secara manual, sehingga kurang efisien dan tidak memberikan pengalaman yang optimal bagi pelanggan. Oleh karena, itu dibutuhkan sebuah sistem informasi pemesanan online yang menciptakan (Value Creation). Untuk mengembangkan dan mengimplementasikan sistem pemesanan online pada Gor Jabal Rahmah dengan metode value creation, serta menganalisisdampak penerapan sistem terhadap faktor-faktor yang mempengaruhi value creation yaitu efficiency (tidak mesan ketempat), complementary (paket bundling: mesan 2 jam dapat 1 botol aqua 500 ml dan mesan 3 atau selebihnya dapat 2 botol aqua 500 ml), lock-in (member tetap), dan novelty (sistem baru yang main menggunakan manual menjadi sistem online). Penelitian ini menggunakan metode pengembangan sistem berbasis UML (unified Modeling Language) dan diuji menggunakan Smart PLS untuk menganalisis hubungan antar 4 faktor value creation dengan sistem online. Data dikumpulkan melalui observasi dan kuesioner dari pengguna yang telah menggunakan sistem baru tersebut. Menunjukkan bahwa sistem pemesanan online berhasil meningkatkan efisiensi dengan peningkatan pemesanan dan pendapatan pada bulan pertama implementasi dibandingkan debfab bulan sebelumnya. Namun, dari 4 faktor value creation yang diuji hanya lock-in yang berpengaruh signifikan terhadap value creation dengan P value sebesar 0,02 (2%). Sistem online di Gor Jabal Rahmah memeberikan dampak positif terhadap efisiensi dan faktor lock-in, namun faktor efficiency, complementary, dan novelty tidak menunjukkan pengaruh signifikan terhadap value creation. Hal ini menunjukkan bahwa sistem online ini memudahkan pemesanan.Kata kunci: pencipta nilai, pemesanan online, realibilitas, sistem informasi, validitas Abstract  - The booking of badminton courts at Gor jabal Rahmah in Banjarmasin City is still done manually, which is inefficient and does not provide an optimal experience for customers. Therefore, an online booking information system is needed that can create value (value creation). To develop and implement an online booking system at Gor Jabal Rahmah using the value creation method and to analyze the impact of the system on the factors influencing value creation, namely efficiency (no need to book on-site), complementary (bundle packages: book 2 hours and get 1 bottle of 500 ml Aqua, and book 3 or more hours and get 2 bottles of 500 ml Aqua), lock-in (loyal membership), and novelty (transforming the manual system into an online system). This study employs a system development method based on UML (Unified Modeling Language) and is tested using Smart PLS (Partial Least Squares) to analyze the relationship between the four value creation factors and the online booking system. Data is collected through observations and questionnaires from users who have used the system. The results indicate that the online booking system successfully improved efficiency, with an increase in bookings and revenue in the first month of implementation compared to the previous month. However, of the four value creation factors tested, only lock-in had a significant impact on value creation, with a P-value of 0.02 (2%). The online system at Gor Jabal Rahmah has a positive impact on efficiency and the lock-in factor, but the factors of efficiency, complementary, and novelty do not show a significant influence on value creation. This indicates that the online system facilitates booking. Keywords: information system, online ordering, realibility, validity, value creation
Online Analisis Sentimen pada Pemilihan Umum Presiden di Kota Banjarmasin 2024 Nur Syifa; Bayu Nugraha; Muhammad Zulfadhilah
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8175

Abstract

Abstrak - Penelitian ini dilakukan untuk mengeksplorasi dinamika politik di era digital dan menggali pandangan serta sentimen masyarakat Banjarmasin terkait Pemilihan Umum Presiden 2024. Media sosial memainkan peran penting sebagai alat ekspresi politik dan pertukaran ide. Analisis sentimen digunakan untuk mengevaluasi opini publik dan preferensi politik masyarakat di Banjarmasin. Penelitian ini  bertujuan untuk mengamati dan menganalisis opini masyarakat di media sosial terkait Pilpres 2024. Selain itu, penelitian ini ingin memahami proses pengumpulan data opini masyarakat dan menganalisisnya menggunakan metode Support Vector Machine (SVM). Penelitian ini juga bertujuan untuk mengklasifikasikan sentimen menjadi positif atau negatif dan memahami pengaruhnya terhadap pandangan politik masyarakat. Metode yang digunakan dalam penelitian ini adalah Support Vector Machine (SVM). Data dikumpulkan dari platform media sosial dan form observasi masyarakat Banjarmasin. Distribusi kelas di seluruh dataset menunjukkan ketidakseimbangan yang signifikan, dengan 96,1% data berlabel positif (1071 sampel) dan hanya 3,9% berlabel negatif (44 sampel). Hasil evaluasi model menunjukkan bahwa model Support Vector Machine yang digunakan memiliki tingkat akurasi sebesar 94,62%. Penelitian ini menyoroti dominasi peran Instagram dan platform X dalam mempengaruhi arus informasi dan diskusi publik mengenai Pilpres 2024. Model Support Vector Machine (SVM) terbukti efektif dalam mengklasifikasikan sentimen dengan tingkat akurasi mencapai 94,62%, membuatnya menjadi alat yang kuat untuk analisis sentimen dalam konteks politik modern.Kata Kunci: akurasi, analisis sentimen, media sosial, pemilihan umum presiden, support vector machine (svm). Abstract -  This research aims to explore the political dynamics in the digital era and examine the views and sentiments of the people of Banjarmasin regarding the 2024 Presidential Election. Social media plays a significant role as a tool for political expression and idea exchange. Sentiment analysis is used to evaluate public opinion and political preferences of the people in Banjarmasin. The study aims to observe and analyze public opinions on social media regarding the 2024 Presidential Election. Additionally, it seeks to understand the data collection process of public opinions and analyze them using the Support Vector Machine (SVM) method. The study also aims to classify sentiments as positive or negative and understand their impact on the political views of the public.  The method used in this study is the Support Vector Machine (SVM). Data were collected from social media platforms and observation forms distributed to the people of Banjarmasin. The distribution of classes across the dataset showed significant imbalance, with 96.1% of the data labeled positive (1071 samples) and only 3.9% labeled negative (44 samples). Model evaluation results indicated that the Support Vector Machine model used had an accuracy rate of 94.62%. Conclusion: This study highlights the dominant role of Instagram and platform X in influencing the flow of information and public discourse regarding the 2024 Presidential Election. The Support Vector Machine (SVM) model proved effective in classifying sentiments with an accuracy rate of 94.62%, making it a powerful tool for sentiment analysis in the modern political context.Keywords: accuracy, presidential election, sentiment analysis, social media, support vector machine (svm).
Co-Authors Ahmad Hidayat Finki Dona Marleny Haryono, Ika Avrilina Husni Naparin Ikhsan, M. Rizki Irma Noor Lisa Mambang Maulida, Ihdalhubbi Melva Hermayanty Saragih Muhammad Zulfadhilah Noval Noval Nur Syifa Nurhaeni Nurhaeni Septyan Eka Prastya Sfenrianto Sfenrianto Subhan Panji Cipta Tumanggor, Agustina Hotma Uli