Articles
<![CDATA[Klasifikasi File Gambar Hasil X-Ray Paru -Paru Dengan Arsitektur Convolution Neural Network (CNN) ]]>
<![CDATA[Indra Bakti]]>;
<![CDATA[Mohamad Firdaus]]>
<![CDATA[ Journal of Information Technology Vol 3 No 1 (2023): Journal of Information Technology ]]>
Publisher : <![CDATA[Institut Shanti Bhuana ]]>
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DOI: 10.46229/jifotech.v3i1.590
<![CDATA[Dalam dekade terakhir ini pemanfaatan kecerdasan buatan (Artificial Intelligent) Semakin banyak, Arsitektur Convolution Neural Network (CNN) sebagai salah satunya telah banyak membantu dunia untuk mengolah Big Data (data besar), dengan melakukan proses pelatihan dari sejumlah besar dataset image, dan kemudian dapat mempelajari cirinya dan kemudian memilihkan sesuai dengan klasifikasinya. Penggunaan bahasa pemrograman python sebagai sarana untuk mengklasisifikasikan sebuah file gambar dengan arsitektur CNN sangat baik dan memiliki akurasi sangat tinggi. Keras adalah suatu modul yang sudah disiapkan oleh pengembang bahasa pemrograman python untuk mendukung kecerdasan buatan yang dapat belajar sendiri yang juga mendukung arsitektur CNN. Dalam pemrograman CNN dengan Bahasa python disebutkan semakin banyak parameter yang uji maka semakin baik kecerdasan buatannya memberikan output. Oleh karena itu tujuan pengujian ini adalah ingin membuktikan apakah semakin banyak parameter yang diberikan ke sistem dapat memberikan keluaran yang semakin baik dengan metode yang digunakan adalah memberikan training dataset input. Hasil penelitian dapat dari banyaknya parameter yang dipelajari 1.059.106 dengan waktu rata 135 ms, maka mesin dapat mengklasfikasikan gambar dengan tepat sebesar 87,88%. bila mesin belajar dengan parameter yang lebih banyak lagi yaitu sebesar 3.824.486 dengan waktu rata-rata 780 ms, maka mesin dapat menebak mendekati 100%. Hasil penelitian dapat dilihat bahwa semakin banyak mesin belajar dengan kemampuan kecerdasan buatannya maka mesin tersebut akan semakin mahir]]>
<![CDATA[Introduction of the Media Industry and Its Optimization to Residents of Komplek Kebersihan RT13 / RW10 Cengkareng West Jakarta ]]>
<![CDATA[Mohamad Firdaus]]>;
<![CDATA[Aditya Herliawan]]>;
<![CDATA[Fatoni]]>;
<![CDATA[Aldiansyah]]>;
<![CDATA[Indra Bakti]]>
<![CDATA[ Jurnal Pengabdian Masyarakat Bestari Vol. 2 No. 3 (2023): March 2023 ]]>
Publisher : <![CDATA[PT FORMOSA CENDEKIA GLOBAL ]]>
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DOI: 10.55927/jpmb.v2i3.3281
<![CDATA[There are so many news portals available but not many people know the methods of using journalistic techniques. The purpose of this community service is to make it easier for the community to gain the ability to learn about journalism and demonstrate the use of online news to the community, especially residents of Komplek Kebersihan RT13/RW10 Cengkareng, West Jakarta. The result of community service is getting good knowledge about journalism after studying the Nachannel.my.id News Portal which has various features both in reporting information, videos and polls, which also includes features to promote products. In conclusion, with this community service, the community can gain knowledge about basic techniques of news journalism and also get training in using news portal application features on Android smartphones on mobile devices (smartphones) and laptops used by residents, especially residents of the Komplek kebersihan RT13/RW10 Cengkareng West Jakarta.]]>
<![CDATA[PKM Pengenalan Pengelolaan Marketplace Kepada Warga Komplek Kebersihan RT 13 RW 10 Cengkareng ]]>
<![CDATA[Mohamad Firdaus]]>;
<![CDATA[Aditya Herliawan]]>;
<![CDATA[Indra Bakti]]>
<![CDATA[ Faedah : Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia Vol. 1 No. 4 (2023): November: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia ]]>
Publisher : <![CDATA[FKIP, Universitas Palangka Raya ]]>
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DOI: 10.59024/faedah.v1i4.369
<![CDATA[Online marketplace is so mushrooming that it can make it easier for someone to transact in everyday life. By introducing this technology to the community, especially residents of Komp. Kebersihan RT13 / RW10 Cengkareng West Jakarta. It is hoped that it can make it easier for someone to start an online shop business, or make it easier for someone to promote their products, therefore by conducting learning in the context of community service to socialize the introduction of the online marketplace and also provide training on the use of features in the marketplace that can be used by residents of Komp. housing. Kebersihan RT13/RW10 Cengkareng West Jakarta. This is a community service activity by us.]]>
<![CDATA[Pengenalan Penggunaan Google Form Untuk Survei Kepada Warga Darma Bakti, Cengkareng, Jakarta Barat ]]>
<![CDATA[Firdaus, Mohamad]]>;
<![CDATA[Bakti, Indra]]>
<![CDATA[ PRAXIS: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 3 (2024): PRAXIS ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat ]]>
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DOI: 10.47776/praxis.v2i3.992
<![CDATA[This research aims to introduce and implement the use of google form as a survei tool to collect data from residents of Darma Bakti, Cengkareng, West Jakarta. The research method involves developing a survei form using the google form platform that can be accessed online. The research also explored the effectiveness of google form in collecting data on various aspects of Darma Bakti residents' lives and needs. The research process involved introducing the concept and functionality of google form to respondents, as well as brief training to increase participation in the survei. The data collected included demographic information, preferences, and feedback related to services and facilities obtained from Darma Bakti residents. Data analysis involved the use of automated analysis features provided by google form, as well as manual interpretation to gain deeper insights. The results of this study are expected to provide a better view of the use of google form as an effective and efficient tool for citizen surveis, as well as provide valuable input for the improvement of services and facilities in the Darma Bakti neighborhood, Cengkareng, West Jakarta. This research also contributes to the literature related to the use of online survei technology, especially in the context of local communities.]]>
<![CDATA[Arsitektur CNN InceptionResNet-V2 Untuk Pengelompokan Pneumonia Chest X-Ray ]]>
<![CDATA[Bakti, Indra]]>;
<![CDATA[Firdaus, Mohamad]]>
<![CDATA[ Jurnal Komputer dan Teknologi Vol 2 No 1 (2023): JUKOMTEK JANUARI 2023 ]]>
Publisher : <![CDATA[Yayasan Pendidikan Cahaya Budaya Indonesia ]]>
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DOI: 10.58290/jukomtek.v1i2.66
<![CDATA[Dalam abad terakhir ini, khususnya metode Convolution Neural Network (CNN) pada penggunaan machine learning yang merupakan teknologi intelegensi artifisial atau Artificial Intelligence (AI) telah dapat dan sangat mampu membantu dunia medis (kedokteran). Melalui penelitian tindakan pada dataset gambar, CNN berhasil dan mampu menunjukkan klasifikasi atau pengelompokan berdasarkan karakteristik dan properti yang sama pada gambar yang tidak berlabel dengan akurasi lebih tinggi dan lebih cepat daripada metode pembelajaran mesin lainnya. Hal ini sangat berguna bagi dunia Kesehatan, khususnya dalam penggunaan chest-x-ray (rontgen dada) pada dunia kedokteran. Studi ini bertujuan untuk mengoptimalkan arsitektur CNN InceptionResNet-V2, untuk mengklasifikasikan penyakit Covid-19, dengan melatih 4000 dataset citra x-ray dada. Hasil uji akurasi dari InceptionResNet-V2 menghasilkan 98%, dengan presisi tiap kelas arsitektur CNN InceptionRestNet-V2 adalah Covid (99%), Lung_Opacity (97%), Normal (98%), Viral_Pneumonia (98%). Arsitektur CNN InceptionRestNet dapat membantu hasil chest-x-ray dengan cepat dan akurat.]]>
<![CDATA[Evaluation of the Effect of Teacher Training on the Use of Learning Technology ]]>
<![CDATA[Meisuri, Meisuri]]>;
<![CDATA[Siregar, Yuliza Andriyani]]>;
<![CDATA[Halik, Abdul]]>;
<![CDATA[Bakti, Indra]]>;
<![CDATA[Firdaus, Mohamad]]>
<![CDATA[ Journal Emerging Technologies in Education Vol. 2 No. 1 (2024) ]]>
Publisher : <![CDATA[Yayasan Pendidikan Islam Daarut Thufulah ]]>
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DOI: 10.70177/jete.v2i1.733
<![CDATA[Background. Teachers are a profession responsible for educating, guiding, teaching, and training students. The teacher's role is important in nurturing to develop students' knowledge, attitudes, and skills. The role of teachers who provide knowledge as access to information is now aided by digital sophistication. In this case, teachers must be able to control technology for learning to students. The learning process must of course be evaluated so that the weaknesses and strengths in learning can be identified. Purpose This study aims to evaluate the effect of teacher training in the use of learning technology. This evaluation will provide an overview of the effectiveness of the training in improving teachers' understanding of learning technology. In addition, it assesses the impact that the use of technology has on student learning outcomes. Method. The method used in this research is quantitative method. Data collection is done by distributing questionnaires to teachers. Making statements related to evaluating the effect of teacher training in the use of learning technology. This statement is loaded in google from which will be processed through the SPSS application. The data obtained can be tested by proving the statements listed on Google from adjusted through facts that often occur in the world of education. Results. The results of this study suggest that evaluating the impact of teacher training can provide a basis for developing a sustainable training curriculum. The role of technology in education will change the way students learn and also the learning outcomes. This evaluation will give teachers an idea of how much students develop after the use of technology. Conclusion The conclusion of this study is that evaluation of teachers in the use of technology is also needed. Evaluation of the effect of teacher training on the use of learning technology is an assessment process to measure the extent to which training has an impact on teachers' ability to use technology. The difference in teachers' perspectives on technology also affects how much technology is used in learning. Teachers will also be a forum for the advancement of education. So that it can expand the application of technology in education.]]>
<![CDATA[Digitalisasi Alat Ukur Ph Air Pada Budi Daya Ikan Air Tawar ]]>
<![CDATA[Gumelar, Tommy]]>;
<![CDATA[Bakti, Indra]]>
<![CDATA[ Jurnal Teknologi Informasi (JUTECH) Vol 2 No 2 (2021): JUTECH: Jurnal Teknologi Informasi ]]>
Publisher : <![CDATA[ITB Ahmad Dahlan Jakarta ]]>
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DOI: 10.32546/jutech.v2i2.1658
<![CDATA[The high market demand for freshwater fish needs, because it has become a daily commodity for Indonesian people from upper economic circles or low incomes, the need for freshwater fish is very high. The delicious taste of meat and the vitamins contained in freshwater fish are very good for the human body, therefore aquatic fish cultivators are developing to meet market needs. Various efforts were made to meet the market demand for freshwater fish, starting from increasing the number of ponds, improving fish feed to meet protein needs and paying attention to the pH of freshwater ponds. The use of digitalization of freshwater pH measurements is applied to facilitate control of the tolerance level of freshwater fish.]]>
<![CDATA[Klasifikasi Pneumonia Chest X-Ray Dengan Arsitektur Inceptionresnet-V2 ]]>
<![CDATA[Bakti, Indra]]>
<![CDATA[ Jurnal Teknologi Informasi (JUTECH) Vol 3 No 2 (2022): JUTECH: Jurnal Teknologi Informasi ]]>
Publisher : <![CDATA[ITB Ahmad Dahlan Jakarta ]]>
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DOI: 10.32546/jutech.v3i2.2030
<![CDATA[In the last century, the use utilization of machine learning, especially the Convolution Neural Network (CNN)has helped the world of health (medicine). Through action research on image datasets, CNN was successful and able to show classification or grouping based on the same characteristics and properties on unlabeled images with higher accuracy and faster than other machine learning methods. This study aims to optimize two CNN architectures (Inception Res Net-V2, and Mobile Net-V2) to classify Covid-19 disease, by training 4000 Chest x-ray image datasets. The accuracy test results from InceptionResNet- V2 yield 98%, and MobileNet-V2 yield 93%. with the precision of each class of the CNN Inception Rest Net-V2 architecture is Covid (99%), Lung Opacity (97%), Normal (99%), Viral_Pneumonia (99%).]]>
<![CDATA[Penerapan ERP Frontaccounting Pada Sistem Pembelian, Penjualan Dan Stok Barang di PT. Laba Usaha Mandiri ]]>
<![CDATA[Mohamad Firdaus]]>;
<![CDATA[Indra Bakti]]>
<![CDATA[ Jurnal Teknologi Informasi (JUTECH) Vol 4 No 1 (2023): JUTECH: Jurnal Teknologi Informasi ]]>
Publisher : <![CDATA[ITB Ahmad Dahlan Jakarta ]]>
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DOI: 10.32546/jutech.v4i1.2346
<![CDATA[PT Laba Usaha Mandiri is one of the start-up companies engaged in the sale of oil palm. The system of purchasing, sales, and inventory of goods is done manually with the help of a computer. However, to record finances and a more controlled business, it is necessary to implement an Enterprise Resource Planning (ERP) application in the company. The results of the application selection analysis show that the FrontAccounting Application is a suitable application for the company. Therefore, the implementation of the application is carried out at the company. after that the system is checked to ensure that the ERP application is appropriate and can run as expected. This test is based on the literature method and the existing business processes at PT Laba Usaha Mandiri. From the test results, it is concluded that ERP is in accordance with the business needs of the company.]]>
<![CDATA[Perancangan Dan Pembuatan Desain UI/UX Aplikasi Simpora Dengan Figma ]]>
<![CDATA[Mohamad Firdaus]]>;
<![CDATA[Indra Bakti]]>
<![CDATA[ Jurnal Teknologi Informasi (JUTECH) Vol 5 No 1 (2024): JUTECH: Jurnal Teknologi Informasi ]]>
Publisher : <![CDATA[ITB Ahmad Dahlan Jakarta ]]>
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DOI: 10.32546/jutech.v5i1.2436
<![CDATA[Tanjung Pandan Customs Office as a state institution has the opportunity to compete with other customs offices in Indonesia, as an added value for the assessment of the Tanjung Pandan Customs office in its assessment in the Customs Institution. SIMPORA as an information system for Budget Absorption and Realization is made to meet these needs. The design of the application design in this study was built with Figma Application. by making a Software Design Design (DPPL), then followed by the results of the application interface is expected to make this application user friendly. This process is carried out so that with a good time frame and planning it can produce a good product as well. The results of the software interface are also equipped with design and application documentation which in the end goal is to give the Tanjung Pandan Customs office a winner in the competition between customs offices throughout Indonesia.]]>
