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All Journal PROSIDING SEMINAR NASIONAL SAINSMAT International Journal of New Media Technology Journal of Science Innovare Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Prosiding Seminar Nasional Sains Teknologi dan Inovasi Indonesia (Senastindo) SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam Prosiding SeNTIK STI&K
Negara, Teguh Puja
Universitas Pakuan
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Physics Other

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A Development of Learning Media in Fluids in Higher Education Based on Android Negara, Teguh Puja
IJNMT (International Journal of New Media Technology) Vol 10 No 2 (2023): IJNMT
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v10i2.3007

Abstract

The impact of the corona virus pandemic has disrupted all activities in Indonesia, especially in teaching and learning activities in universities. The lecture process has changed, such as the ban on face-to-face meetings, which has an impact on the learning system on campus. Therefore, the government has implemented an online learning system to overcome the massive spread of the virus while maintaining lectures. One of the issues at issue is practicum activities which require students to come directly to the laboratory, so a solution is needed, namely learning media that can support distance learning to remain effective. The learning media in this study used the Multimedia Development Life Cycle (MDLC) method using Frame by Frame, Low-poly modeling and Shader Graph techniques. The results of this study are an Android-based fluid case learning medium, where, in the application, users can try simulations in the form of 3D animations and work on practice questions and post-tests. Thus, users can better understand fluid materials without the need to do practical work in a physics laboratory.
Analysis of Tomato Ripeness by Color and Texture Using Cielab and K-Means Clustering Denih, Asep; Negara, Teguh Puja; Marzuki, Ismail
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 20, No 2 (2023): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v20i2.8311

Abstract

Humans have limitations, including in the identification of tomatoes. With the nature of limitations, it makes it difficult for humans to identify the ripeness of tomatoes in large quan- tities. So far, the selection and determination of the quality activity of tomatoes is carried out manually, resulting in a less uniform product. Manual identification of tomato ripeness has many disadvantages caused by many factors, such as fatigue, lack of motivation, experience, proficiency and so on. This study aims to create a tomato maturity level analysis system based on color and texture using CIELAB and K-Means clustering as a method to determine tomato maturity precisely and accurately. This system displays five images, namely RGB, CIELAB, K-Means clustering, binary and grayscale images, after entering the tomato image, the image will be processed using the five images and the results of extracting characteristics from the tomato will come out. The accuracy rate of tomato ripeness has an average value of 92.70%. The benefit of this research is that it can save time in classifying tomato ripeness and make it easier to determine tomato ripeness based on color.   
Analysis of Heartbeat Signals to Detect Sleep Disorders Using Artificial Neural Network Methods Aripin, Moch; Hardhienata, Soewarto; Negara, Teguh Puja
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 2 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i2.10222

Abstract

A human sleep disorder detection system has been designed using an AD8232 Electrocardiogram sensor module integrated with a microcontroller and internet connection through ESP 32. The heartbeat signals from the sensor are analyzed using Artificial Neural Network (ANN) methods to determine normal conditions, Obstructive Sleep Apnea (OSA), or Central Sleep Apnea (CSA). The sensor's accuracy was measured over 10 measurements, resulting in 96.85%. Testing with 30 training data samples achieved an accuracy of 93.33%, and testing with 20 training data samples achieved an accuracy of 80%. The system displays output values through the Internet of Things (IoT) with an average computation time of around 7.6 ms.
Application of the Naive Bayes Classifier Method and Fuzzy Analytical Hierarchy Process in Determining Books Eligible for Publishing Irwansyah, Mochamad Denny; Negara, Teguh Puja; -, Erniyati; Citra, Puspa
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol 21, No 1 (2024): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v21i1.6677

Abstract

The manuscript selection process is the process of assessing manuscripts worthy of publication. The Editor's job is to provide an evaluation of each manuscript based on the assessment criteria and sub-criteria. By using a decision support system, it can make it easier for policymakers to determine the suitability of a manuscript. In this research, a decision support system is applied to select papers that are worthy of publication, namely the Fuzzy Analytical Hierarchy Process (F-AHP) method for selecting the suitability of manuscripts using subjective criteria and the Naïve Bayes method for classifying books based on their genre. The test results using the F-AHP method produced an accuracy rate of 83.33% using 30 books out of 150 books and using the Naïve Bayes method produced an accuracy rate of 80% using 30 books from the internet. This system uses the Visual Studi Code IDE, Firebase, and Pythonanywhere as its database with an Android display. 
PENERAPAN IMPLEMENTASI NAÏVE BAYES CLASSIFIER DAN METODE FUZZY AHP DALAM PENENTUAN BUKU LAYAK TERBIT MENGGGUNAKAN ANDROID Negara, Teguh Puja; Erniyati, Erniyati; Citra, Puspa; Irwansyah, Muhammad Denny
Prosiding Seminar SeNTIK Vol. 8 No. 1 (2024): Prosiding SeNTIK 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Proses seleksi naskah merupakan proses penilaian kelayakan naskah yang cukup menimbulkan kendala, karena sebelumnya bersifat manual dan memiliki unsur subyektifitas dari panilai. Penggunaan metode Sistem Penunjang Keputusan (SPK) dan penggunaaan komputer merupakan tuntutan yang sangat kuat untuk mempermudah tim penilai untuk kelayakan naskah buku yang akan diterbitkan. Dalam penelitian ini, metode Fuzzy Analytical Hierarchy Process (F-AHP) digunakan sebagai sistem pendukung keputusan untuk memilih makalah yang layak dipublikasikan. Metode ini menggunakan kriteria subjektif untuk memilih naskah yang sesuai dan metode Naive Bayes untuk mengklasifikasikan buku berdasarkan genrenya. Hasil pengujian dengan metode F-AHP menunjukkan tingkat akurasi sebesar 83,33%. Dengan menggunakan 30 buku dari 150 buku, metode Naive Bayes menghasilkan klasifikasi buku berdasarkan genrenya. Visual Studi Code IDE, Firebase, dan Pythonanywhere adalah database sistem dengan tampilan Android
A Development of Learning Media in Fluids in Higher Education Based on Android Negara, Teguh Puja
IJNMT (International Journal of New Media Technology) Vol 10 No 2 (2023): IJNMT
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ijnmt.v10i2.3007

Abstract

The impact of the corona virus pandemic has disrupted all activities in Indonesia, especially in teaching and learning activities in universities. The lecture process has changed, such as the ban on face-to-face meetings, which has an impact on the learning system on campus. Therefore, the government has implemented an online learning system to overcome the massive spread of the virus while maintaining lectures. One of the issues at issue is practicum activities which require students to come directly to the laboratory, so a solution is needed, namely learning media that can support distance learning to remain effective. The learning media in this study used the Multimedia Development Life Cycle (MDLC) method using Frame by Frame, Low-poly modeling and Shader Graph techniques. The results of this study are an Android-based fluid case learning medium, where, in the application, users can try simulations in the form of 3D animations and work on practice questions and post-tests. Thus, users can better understand fluid materials without the need to do practical work in a physics laboratory.
Co-Authors -, Erniyati Adly Maulana Suherman Agung Prajuhana Putra Agus Ismangil Aripin, Moch Asep Denih Asep Saepulrohman Citra, Puspa Erniyati Erniyati Erniyati, Erniyati H. Hardhienata Husin Alatas Irwansyah, Mochamad Denny Irwansyah, Muhammad Denny Muhammad Iqbal Muhammad Iqbal Soewarto Hardhienata Syamsiar, Syamsiar