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Journal : TEKNIK INFORMATIKA

SISTEM OTOMASI RUANGAN DENGAN RASPBERRY PI BERBASIS MOBILE WEB STUDI KASUS: (LEMBAGA KURSUS CODY APP ACADEMY) Aditya Mirza Bahari; Nenny Anggraini; Siti Ummi Masruroh
JURNAL TEKNIK INFORMATIKA Vol 11, No 1 (2018): Jurnal Teknik Informatika
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2686.873 KB) | DOI: 10.15408/jti.v11i1.6261

Abstract

ABSTRAK Cody App Academy adalah sebuah tempat kursus berbasis teknologi di Bintaro, Jakarta Selatan. Berdasarkan observasi yang dilakukan penulis, Cody masih menerapkan cara manual untuk menyalakan dan mematikan listrik. Selain itu, hasil dari wawancara oleh pengelola Cody, dapat disimpulkan bahwa hal ini berdampak terhadap efisiensi penggunaan arus listrik yang ada di Cody, yang berkaitan langsung dengan besar atau kecilnya tagihan listrik yang harus dibayarkan oleh pengelola Cody. Maka penulis mengusulkan sebuah solusi berupa prototipe Sistem Pengendali Ruangan dengan teknologi motion berbasis mobile web yang merupakan aplikasi yang dapat merubah sistem manual menjadi sebuah sistem home automation. Aplikasi ini akan secara otomatis mematikan arus listrik ketika ruangan sedang kosong, dilihat dari tidak terdeteksinya gerakan dalam rentang waktu lebih dari 10 menit. Metode pengumpulan data yang yang penulis gunakan adalah pengumpulan data primer dan sekunder yang terdiri dari observasi, wawancara dan studi literatur sejenis. Sedangkan untuk metode pengembangan aplikasi adalah prototipe evolusioner dengan 4 tahap yang mencakup analisis kebutuhan pengguna, membuat satu prototipe. Hasil dari penelitian ini adalah  penerapan home automation yang berupa Sistem Pengendali Ruangan dengan teknologi motion  selama jangka waktu 2 bulan berbasis mobile web terbukti membuat penggunaan listrik di Cody lebih efisien berdasarkan perbandingan tagihan listrik sebelum dan sesudah menggunakan sistem yang penulis usulkan. Hal ini dapat terlihat dari perubahan signifikan pada biaya listrik yang harus dibayarkan Cody per bulan yakni sejumlah 20% lebih efisien dibandingkan tanpa menggunkan sistem yang penulis usulkan.   ABSTRACT Cody App Academy is a technology-based course place in Bintaro, South Jakarta. Based on observations made by the author, Cody is still applying the manual way to turn on and turn off the electricity. In addition, the results of interviews by Cody's managers, it can be concluded that this impacts on the efficiency of the use of electric current in Cody, which is directly related to the large or small bill of electricity that must be paid by the manager of Cody. So the author proposed a solution in the form of prototype Space Control System with motion technology based mobile web which is an application that can change the manual system into a home automation system. This application will automatically turn off the power when the room is empty, judging from the detection of movement in the span of more than 10 minutes. Data collection methods that the author uses is the collection of primary and secondary data consisting of observations, interviews and studies of similar literature. The method of application development is an evolutionary prototype with 4 stages that includes user needs analysis, making a prototype. The result of this research is the implementation of home automation in the form of Room Control System with motion technology for 2 months based on mobile web proved to cause the use of electricity in Cody more efficient based on the ratio of electric bill before and after using the system that the author proposed. This can be seen from the significant change in the cost of electricity that Cody has to pay per month which is 20% more efficient than without using the proposed system. How To Cite : Bahari, A.M. Anggraini, N. Masruroh, S.U. (2018). SISTEM OTOMASI RUANGAN DENGAN RASPBERRY PI BERBASIS MOBILE WEB STUDI KASUS: (LEMBAGA KURSUS CODY APP ACADEMY). Jurnal Teknik Informatika, 11(1), 55-66.  doi 10.15408/jti.v11i1.6261 Permalink/DOI: http://dx.doi.org/10.15408/jti.v11i1.6261 
SISTEM PENGAMBILAN KEPUTUSAN PEMETAAN PELATIHAN TEKNOLOGI INFORMASI UNTUK PENYANDANG DISABILITAS TUNA RUNGU HARD OF HEARING MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) Siti Ummi Masruroh; Ahmad Arya Swaraja; Imam Marzuki Shofi
JURNAL TEKNIK INFORMATIKA Vol 12, No 2 (2019): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (803.254 KB) | DOI: 10.15408/jti.v12i2.12203

Abstract

Law number 8 of 2016 states that disability is part of the Indonesian republic which has the same rights and obligations. Therefore the need to increase social welfare for persons with disabilities, one way to improve it is by providing information technology training. To support information technology training an appropriate training mapping is needed. In this study, a training mapping was carried out for persons with disabilities who were deaf where there was ranking at each information technology training based on the ability criteria. The ranking of information technology training is analyzed using the Analytical Hierarchy Process (AHP) method and for the system, development using Rapid Application Development (RAD). This research discusses the hard of hearing deafness disability, in which information technology training is used like the following attributes of Microsoft Word, Microsoft Excel, PowerPoint, Photoshop, Scratch Programming, Adobe illustration, e-marketing, internet browsing, and social media. The final results show the ranking of information technology training that is suitable for hearing deafness disability.
Analisa dan Perbandingan Bukti Forensik Aplikasi Media Sosial Facebook dan Twitter pada Smartphone Android Wisnu Ari Mukti; Siti Ummi Masruroh; Dewi Khairani
JURNAL TEKNIK INFORMATIKA Vol 10, No 1 (2017): Jurnal Teknik Informatika
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.191 KB) | DOI: 10.15408/jti.v10i1.6820

Abstract

ABSTRAK Perkembangan teknologi internet dan smartphone yang semakin pesat diikuti pula oleh meningkatnya pengguna media sosial yang mengakses menggunakan smartphone khususnya Android. Salah satu permasalahan yang tak luput dari media sosial adalah tindak kejahatan dunia maya yang memanfaatkan media sosial. Karena pada dasarnya tidak ada kejahatan yang tidak meninggalkan jejak. Penelitian ini dilakukan untuk menemukan dan membandingkan bukti-bukti forensik tersebut pada aplikasi media sosial Facebook dan Twitter yang diakses pada smartphone Android. Facebook dan Twitter dipilih karena memiliki beberapa fitur yang mirip. Pada penelitian ini, metode simulasi digunakan dalam penelitian dengan menjalankan 11 skenario diantaranya adalah pengembalian file yang dihapus, pencarian bukti forensik berupa nama akun, lokasi, nomor telpon, tanggal lahir, photo profile, cover photo, posting berupa teks, posting berupa gambar, isi private message berupa teks dan isi private message berupa gambar. Hasil dari penelitian ini menunjukkan bahwa semua bukti forensik pada aplikasi media sosial Facebook berhasil ditemukan semua. Sedangkan pada aplikasi media sosial Twitter hanya berhasil ditemukan berupa nama akun, data lokasi, photo profile, cover photo, posting berupa teks dan posting berupa gambar.  ABSTRACT The development of internet technology and smartphones are increasing rapidly followed by increasing social media users who access using a smartphone, especially Android. One of the problems that did not escape from social media is cyber crime acts that utilize social media. Because basically no crime does not leave a trace. This study was conducted to find and compare the forensic evidence on social media applications Facebook and Twitter are accessed on Android smartphones. Facebook and Twitter are selected for having some similar features. In this study, the simulation method used in the research by running 11 scenarios such as the return of deleted files, the search for forensic evidence in the form of account name, location, phone number, birth date, photo profile, photo cover, text posts, Private message in the form of text and private message content in the form of picture. The results of this study indicate that all forensic evidence on Facebook social media applications found all. While in the social media application Twitter only managed to be found in the form of account name, location data, photo profile, photo cover, text posts and post images. How to Cite : Mukti, W.A. Masruroh, S.U. Khairani, D. (2017). Analisa dan Perbandingan Bukti Forensik Aplikasi Media Sosial Facebook dan Twitter pada Smartphone Android. Jurnal Teknik Informatika, 10(1), 73-84. doi:10.15408/jti.v10i1.6820Permalink/DOI: http://dx.doi.org/10.15408/jti.v10i1.6820
Selection of Home Wifi Internet: Machine Learning Implementation With Decision Tree C4.5 Algorithm Method Dewi Khairani; Muhammad Ammaridho Romdhan Siregar; Siti Ummi Masruroh; Miftakhul Nuuril Azizah
JURNAL TEKNIK INFORMATIKA Vol 15, No 2 (2022): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v15i2.27741

Abstract

The multiple bandwidths that internet service providers offer make it difficult for people to choose, especially for regular people unfamiliar with the internet; therefore, most people choose because the price is reasonable. Numerous users also lament the difficulty and slow internet usage. The issue is then concentrated on internet service providers, who are thought to be poor at offering services. The quantity of bandwidth consumed, which does not correspond to the user’s needs, is one factor contributing to slow internet. As a result, the appropriate bandwidth must be chosen based on the requirements of each user. Compared to other algorithms, the C4.5 decision tree method can deliver the best and correct decision, according to the current literature. As a result, this project will develop a web application based on the C4.5 decision tree algorithm that can assist in determining bandwidth and internet following community needs. Using this C4.5 Decision Tree, decisions are based on patterns identified in previously collected data. Predictions about various forms of internet use in the neighborhood may subsequently be produced from these patterns. Based on the calculation, the accuracy obtained is 0.54, or a percentage of 54%. The black box testing indicated that the bandwidth determination application was functioning correctly