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All Journal SMATIKA Jurnal Surya Medika 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
Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Public Health

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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.
Co-Authors Finki Dona Marleny Haryono, Ika Avrilina Ikhsan, M. Rizki Mambang Maulida, Ihdalhubbi Melva Hermayanty Saragih Noval Noval Nurhaeni Nurhaeni Septyan Eka Prastya Sfenrianto Sfenrianto Subhan Panji Cipta Tumanggor, Agustina Hotma Uli