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Analisis Pengaruh Intensitas Penggunaan Internet Terhadap Prestasi Belajar Siswa SMA Al-Mukrom Bojonggambir Fitra Septia Nugraha; Deddy Supriadi; Hendri Mahmud Nawawi; Ahmad Hafidzul Kahfi
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 6, No 2 (2021): IJCIT November 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.368 KB) | DOI: 10.31294/ijcit.v6i2.11918

Abstract

ABSTRAKSalah satu bentuk komunikasi yang paling banyak digunakan saat ini adalah internet. Berdasarkan hasil survei APJII menunjukan, pemanfaatan internet lebih digunakan sebagai gaya hidup. Peneliti juga melihat rendahnya minat peserta didik SMA Al-Mukrom Bojonggambir terhadap belajar dan lebih memilih memainkan handphone untuk berinternet. Penelitian ini bertujuan untuk mengetahui pengaruh intensitas penggunaan internet terhadap prestasi belajar siswa dan dampak intensitas penggunaan internet pada siswa SMA Al-Mukrom Bojonggambir. Penelitian ini merupakan penelitian survei. Variabel bebas yang digunakan adalah intensitas penggunaan internet dengan variabel terikatnya yaitu prestasi belajar. Subjek penelitian adalah siswa kelas XI angkatan 2018 dengan sampel 47 siswa. Data diperoleh dari hasil kuisioner dan dokumentasi. Teknik analisis data menggunakan statistik deskriptif dan analisis regresi. Uji validitas menggunakan korelasi product moment dan uji reliabilitas menggunakan rumus Cronbach Alpha. Uji prasyarat analisis menggunakan uji normalitas dan uji linieritas, sedangkan uji hipotesis menggunakan regresi linier sederhana. Hasil penelitian menunjukkan bahwa terdapat pengaruh negatif antara intensitas penggunaan internet terhadap prestasi belajar siswa. Hal ini dibuktikan dengan nilai koefisien korelasi sebesar -0,722 dan nilai koefisien determinasi (Rsquare) yang didapat sebesar 0,522. Persamaan regresi yang diperoleh yaitu Y=95,228+(-0,578)X. Intensitas penggunaan internet di kalangan siswa ini masuk kategori heavy user.ABSTRACTSOne of the most widely used forms of communication today is the internet. Based on the results of the APJII survey, the use of the internet is more used as a lifestyle. The researcher also saw the low interest of students at Al-Mukrom Bojonggambir High School towards learning and preferring to play their cellphones to surf the internet. This study aims to determine the effect of the intensity of internet use on student achievement and the impact of the intensity of internet use on students of Al-Mukrom Bojonggambir Senior High School. This research is a survey research. The independent variable used in this study is the intensity of internet use and the dependent variable is learning achievement. The research subjects were class XI 2018 students with a sample of 47. The data were obtained from the results of questionnaires and documentation. The data analysis technique used descriptive statistics and regression analysis. The validity test uses the product moment correlation and the reliability test uses the Cronbach Alpha formula. The analysis prerequisite test used normality test and linearity test, while the hypothesis test used simple linear regression. The results showed that there was a negative influence between the intensity of internet use on student achievement. This is evidenced by the correlation coefficient value of -0.722 and the coefficient of determination (Rsquare) obtained by 0.522. The regression equation obtained is Y=95,228+(-0,578)X. The intensity of internet use among students is in the heavy user category.
Sistem Penunjang Keputusan Pemilihan Siswa Berprestasi Metode AHP di SMP Era Informatika Anggi Rahardiansyah; Arief Rusman; Ahmad Hafidzul Kahfi
Bianglala Informatika Vol 10, No 1 (2022): Bianglala Informatika 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (791.985 KB) | DOI: 10.31294/bi.v10i1.11521

Abstract

Menjadi siswa berprestasi adalah impian setiap siswa di sekolah. Prestasi yang didapat tentu didasarkan dengan suatu kemampuan terhadap pengetahuan yang dimiliki oleh masing-masing siswa. SMP Era Informatika adalah Sekolah SMP Swasta yang terletak di Provinsi Banten Kota Tangerang Selatan, SMP Era Informatika memiliki visi dan misi yang berorientasi pada lulusan terbaik, cerdas, unggul dalam prestasi dan berwawasan luas sekolah ini ingin memberikan predikat kepada siswa berprestasi yang memenuhi kriteria yang telah ditetapkan di sekolah, tetapi dalam pemilihan siswa berprestasi di sekolah ini hanya berdasarkan nilai akademik saja sehingga hasil keputusan tidak akurat. Kriteria yang diterapkan dalam penelitian ini 4 kriteria yaitu nilai rapor, absensi, kepribadian, dan nilai IQ. Pemilihan siswa berprestasi ini diharapkan mempermudah pihak sekolah dan guru dalam menentukan siswa berprestasi. Dalam penelitian ini metode yang digunakan yaitu metode Analytical Hierarchy Process (AHP) untuk membantu pemilihan siswa berprestasi. Hasil pembobotan yang didapat dari4 kriteria yang digunakan adalah nilai rapor menjadi kriteria paling penting dengan bobot 52,3%, Absensi 22,9%, Kepribadian 15,5%, Nilai IQ 9,3%. Total rangking yang didapat dari 4 alternatif calon penerima beasiswa adalah Raniya (41,8%).Kata Kunci : Siswa Berprestasi, Sekolah, Sistem Penunjang Keputusan, Analitycal Hierarchy Process (AHP)Becoming an outstanding student is the dream of every student at school. The achievements obtained are of course based on the ability to the knowledge possessed by each student. Era Informatics Junior High School is a Private Junior High School located in Banten Province, South Tangerang City, Era Informatics Junior High School has a vision and mission that is oriented towards the best graduates, intelligent, superior in achievement, and broad-minded. determined at the school, but the selection of outstanding students in this school is only based on academic grades so the results of the decision are not accurate. The criteria applied in this study were 4 criteria, namely report cards, absenteeism, personality, and IQ scores. The selection of outstanding students is expected to make it easier for schools and teachers to determine outstanding students. In this study, the method used is the Analytical Hierarchy Process (AHP) method to assist the selection of outstanding students. The weighting results obtained from the 4 criteria used are the report card score being the most important criterion with a weight of 52.3%, 22.9% Attendance, 15.5% Personality, 9.3% IQ score. The total ranking obtained from the 4 alternative scholarship recipients is Raniya (41.8%).Keywords: Student achievement, School, Analitycal Hierarchy Process (AHP), Decision Support System,
Maintainability Prediction in Eclipse Mylyn Software Program Code Using Mamdani's Fuzzy Inference System Approach Mochammad Abdul Azis; Imam Nawawi; Ahmad Fauzi; Ginabila; Ahmad Hafidzul Kahfi; Abdul Hamid
Jurnal Mantik Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol5.2021.1355.pp512-516

Abstract

Software quality can be assessed using certain measures and methods, as well as using software testing. ISO is used as one of the benchmarks of software quality that has been created by the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC). Software testing can use metrics to increase productivity, this software is very useful in simplifying the testing process by focusing the programmer on the code quality part of the program. The ability of software to be modified includes correction, improvement or adaptation to changes in the environment, requirements, and functional specifications. Metrics can be used to measure the quality level of a model's program code based on indicators from Chidamber Kemerer (CK) by performing Maintainability Predictions which are tested on the metrics bug prediction found in the eclipse mylyn application which consists of four properties, namely WMC, DIT, NOC, and , RFCs. To be able to help carry out the process of calculating software quality based on CK Metrics on mylyn eclips data using the Mamdani fuzzy inference system, it can prove the classification into Low, Medium, High forms. In this case, the defuzzification method is confirmed using the COA (centre of area) method to determine the final value obtained from the membership function formed from the composition process of all outputs.
Analysis of the Impact of the Use of Electronic Money on Community Consumption Behavior in The Bogor Station Environment Mochammad Rizky Kusumayudha; Ahmad Hafidzul Kahfi; Muhamad Hasan; Fitra Septia Nugraha
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

With the existence of non-cash payment instruments such as electronic money (e-money), which is part of the new policy in the payment system by Bank Indonesia, it will be able to optimize people's purchasing power which at the same time has an impact on improving the country's economy. This non-cash payment system makes it easier for people to transact. As happened in several cases regarding the effect of using e-money on people in Indonesia, namely the increase in consumptive behavior and the difficulty of saving when they have more than enough money for their daily needs. The method used by the author to obtain the necessary data is by observation, interviews, and literature study. The results of the analysis of this problem are to find out what impacts can affect the behavior of people who use e-money, as well as precautions that can be taken to reduce the impact and influence of using e-money.
Classification of Banana Ripeness Based on Color and Texture Characteristics Ahmad Hafidzul Kahfi; Muhamad Hasan; Riyan Latifahul Hasanah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1985

Abstract

Banana is one of the most consumed fruits globally and is a rich source of vitamins, minerals and carbohydrates. With the many benefits that bananas have, many farmers cultivate this fruit. The problem that occurs when the harvest is produced on a large scale is the process of selecting bananas that are still unripe or ripe. Usually farmers carry out the selection process manually by visually identifying ripeness based on the color of the fruit skin. However, direct observation has several drawbacks such as subjectivity, takes a long time and is inaccurate. For this reason, we need a system that can help determine the maturity level of bananas automatically through a series of banana image processing processes. One way that can be used to determine the maturity level of bananas is by looking at the color and texture of the bananas. This study aims to classify the maturity level of bananas based on the color and texture characteristics of the banana image using the Gray Level Co-occurrence Matrix and K-Nearest Neighbor methods for the classification process. Based on the results of the research analysis that has been carried out, using the parameter k which has a value of 3 obtains very high accuracy.
ELECTRICITY MANAGEMENT SYSTEM WITH TECHNOLOGY INTERNET OF THINGS Rano Suherman; Purnawarman Kahfi Nataraja; Andhika Pratama; Ahmad Hafidzul Kahfi
Jurnal Techno Nusa Mandiri Vol 20 No 2 (2023): TECHNO Period of September 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v20i2.4520

Abstract

The increasing global demand for electricity has put a strain on energy resources and raised concerns about environmental sustainability. To address these challenges, the integration of modern technologies is crucial. This research presents a study on the implementation of an Electrical Energy Management System (EMS) using Internet of Things (IoT) technology. The proposed system aims to optimize electrical energy usage, enhance efficiency, and reduce the environmental impact. The EMS employs IoT devices and sensors to monitor and collect real-time data on electricity consumption in office buildings. Through data, the system can identify patterns and anomalies in energy consumption, allowing for informed decision-making and proactive energy management strategies.