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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics JKTP: Jurnal Kajian Teknologi Pendidikan Journal of Engineering and Scientific Research (JESR) Cakrawala: Jurnal Pendidikan Electrician : Jurnal Rekayasa dan Teknologi Elektro

Helmy Fitriawan

Universitas Lampung

Author-ID : 3040495

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Other

Published : 5 Documents Claim Missing Document

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Articles

Realization of Zigbee Wireless Sensor Networks for Temperature and Humidity Monitoring Helmy Fitriawan; Danny Mausa; Ahmad Surya Arifin; Agus Trisanto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Many physical phenomena and processes in theenvironment must be monitored. This problem can be solved withan ad-hoc wireless sensor network (WSN), which consists of anumber of small and self-power sensing devices (nodes) that areconnected with each other using effective wireless networks. Thispaper reports development of an embedded wireless sensornetwork (WSN) prototype for environmental parametersmonitoring. The network itself consists of a coordinator or datagateway which wirelessly collect temperature and humidity dataover several sensor nodes. Each sensor node is developed from anarduino based microcontroller, Xbee wireless module based onZigbee/IEEE 802.15.4 standards, and temperature and humiditysensor devices. In the prototype system, both temperature andhumidity sensors are calibrated with accurate instruments to obtainprecise measurements. Its communication functionality is alsotested in various network topologies. The battery lifetime iscalculated to predict the energy consumption. The testing resultsshow that the system works well in terms of its functionality.

Pengembangan Media Pembelajaran Informatika Melalui E-Learning untuk Meningkatkan Berpikir Kreatif Siswa Rohimah Rohimah; Riswandi Riswandi; Helmy Fitriawan
JKTP: Jurnal Kajian Teknologi Pendidikan Vol 3, No 3 (2020)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um038v3i32020p330

Abstrak: Tujuan penelitian ini adalah untuk mengembangkan media pembelajaran melalui e-learning yang memudahkan siswa kelas x di SMAN 1 Pagelaran dalam memahami konsep algoritma dan pemrograman yang selama ini menjadi masalah bagi siswa karena metode pembelajaran yang belum tepat dan belum memanfaatkan sumber belajar yang ada. Metode yang digunakan dalam penelitian ini adalah Research and Development (R&D) yang dikembangkan oleh Sugiyono, penelitian ini dilakukan hanya sampai pada 6 tahap yaitu: potensi dan masalah, pengumpulan data, desain produk, validasi desain, perbaikan desain, uji coba produk. Pada uji validasi ahli media mendapat nilai rata-rata 3,46 dengan keterangan media layak, dan pada hasil pengujian oleh ahli materi rata-rata 3,58 dikatakan bahwa materi layak untuk digunakan, pada uji kemenarikan elearning yang dilakukan kepada 10 responden terdiri dari siswa dan guru mendapat nilai rata-rata 88% menunjukkan klasifikasi bahwa media e-learning sangat menarik digunakan untuk meningkatkan berpikir kreatif siswa dalam mata pelajatan informatika pada materi algoritma dan pemrograman.Abstract: The purpose of this research is to develop learning media through e-learning that makes it easy for students of class X at SMAN 1 Pagelaran to understand the concepts of algorithms and programming that have been a problem for students because of the learning methods that are not appropriate and do not utilize existing learning resources. The method used in this development is Research and Development (R&D) developed by Sugiyono, this research only reached 6 stages: potential and problems, data collection, product design, design validation, design improvement, product trials. In the media expert validation test the average value of 3.46 with media information is appropriate to use, and the results of testing by material experts on average 3.58 said that the material is suitable for use in the product interesting test conducted on 10 respondents consisting of students and teachers got an average value of 88% shows the classification e-learning media is very interesting to be used to improve students' creative thinking on informatics subjects on algorithmic and programming.

Pengembangan Video Pembelajaran Pada Materi Ikatan Kimia Untuk Mendukung Pembelajaran Daring Berbasis Advance Organizer Niken Widyastuti; Riswandi; Helmy Fitriawan
Cakrawala: Jurnal Pendidikan Vol 15 No 1 (2021)
Publisher : Universitas Pancasakti Tegal

The policy of learning from home due to the Covid 19 virus encourages teachers to create innovative learning media thatcan be accessed by students anywhere. Learning media is developed in accordance with learning objectives and studentneeds. The purpose of this research is to make learning videos to support advance organizer distance learning and tomeasure the attractiveness of learning videos that have been developed using the Dick and Carey model. The test subj ects inthis study were 39 students of class X of laboratory test analytical competence. Research instruments include observationsheets and interviews and attractiveness test questionnaires. The results of the attractiveness test showed a value of 3.45from a scale of 4.00. The conclusion of this research is that this learning video is attractive to use by students and supportadvance organizer distance learning

Penerapan Machine Learning Untuk Prediksi Masa Studi Mahasiswa di Perguruan Tinggi X Isna oktadiani; Helmy Fitriawan
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 17 No. 3 (2023)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v17n3.2529

Universities play a role in producing quality resources from their graduate students, so that the quality and accreditation of tertiary institutions are things that need attention. One indicator of higher education accreditation is student graduation on time, so student graduation must be an important concern for tertiary institutions. Based on the results of the documentation, the percentage of students graduating on time is lower than students who are not completing their studies on time, therefore it is necessary to analyze the student's study period to overcome the study period that graduates are not on time using the machine learning method with the Naïve Bayes Classifier algorithm to predict student study period. The research method uses the Naïve Bayes Classifier algorithm method which is part of Artificial Intelligence (AI), which consists of preprocessing, input, process and output. because this method has high accuracy and can work better in real-world cases. The results of predicting the timeliness of student study time at college X with 3553 data using the Naïve Bayes Classifier algorithm method, using WEKA tools succeeded in predicting student study time with 70% data taining and 30% as random testing data with the system. Using 11 attributes, namely study program, GPA, mother's occupation, mother's income, entry period, father's occupation, father's income, route of entry, gender, and school of origin, obtained a percentage of precision value of 54.545%, recall value of 67.220%, and the accuracy level reaches 79.925% which is categorized as good, using the ROC curve calculation to form almost close to (0.1) with an AUC value of 0.844 which is categorized as very good. Based on the results of the percentage accuracy rate, ROC curve and AUC value, the Naïve Bayes Classifier predicts student graduation in the "Good" category

Lecturer Forecasting and Professor Acceleration using Bussiness Intelligence Bambang Sundari Tamtosutrisno; Helmy Fitriawan; Mardiana Mardiana
Journal of Engineering and Scientific Research Vol. 5 No. 1 (2023)
Publisher : Faculty of Engineering, Universitas Lampung Jl. Soemantri Brojonegoro No.1 Bandar Lampung, Indonesia 35141

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jesr.v5i1.120

Universities must be allowed to compete and increase public accountability and competitiveness in order to enhance the quality of education. Human resources, such as professors and educational staff, are one of the supporting aspects. Lecturers are one of the most significant markers for gauging the viability and quality of academic programs and postsecondary institutions. Lecturer data evolves according to educational level, functional position and tenure (retirement) which need to be monitored and anticipated as data to help strategic planning for the next few years to improve the quality and accountability of a tertiary institution. Data sources that are validated and linked with legally authorized data sources are required to support business intelligence in the decision-making processes of policymakers and institutional leaders.

Co-Authors Agus Trisanto Ahmad Surya Arifin Bambang Sundari Tamtosutrisno Danny Mausa Isna oktadiani Mardiana Mardiana Niken Widyastuti Riswandi, Riswandi Rohimah Rohimah Siti Khodijah

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