Abstract:Abstract: In 2018, the number of Instagram users in Indonesia has reached 55 million users. A year earlier, Jakarta is the champ on Instagram as the most photographed place, surpassing Sao Paulo, New York and Madrid. This…
s phenomenon shows that Instagram is a social network that is trending in Indonesia right now. Trilogi Business Incubator (Inbistro) is a business incubator belonging to the Universitas Trilogi. From observations and discussions, there are still many tenants which assisted by Inbistro who do not understand digital marketing, especially with Instagram. Albeit, Instagram has become a popular social media in Indonesia, including for product promotion. This community service activity will try to answer the problem: how to increase the capacity of Inbistro tenants so that they understand the basics of Instagram marketing? Our training was designed in 3 (three) sessions which discussed: (1) the importance of using Instagram as a marketing tool for a business; (2) How to find quality, free royalty photos and videos for Instagram content; (3) How to find products and sell them on Instagram.
Keywords: Instagram marketing, Trilogi Business Incubator, Inbistro, social media, online marketing
Abstrak: Di tahun 2018, jumlah pengguna Instagram Indonesia telah mencapai 55 juta pengguna. Setahun sebelumnya, Jakarta menjadi juara di Instagram sebagai tempat yang paling banyak difoto, melewati Sao Paulo, New York dan Madrid. Fenomena ini menunjukkan bahwa Instagram adalah jejaring sosial yang sedang diminati di Indonesia saat ini. Inkubator Bisnis Trilogi (Inbistro) adalah inkubator bisnis milik Universitas Trilogi. Dari pengamatan dan diskusi, terlihat bahwa masih banyak tenant binaan Inbistro yang belum memahami tentang digital marketing, terlebih dengan Instagram. Padahal Instagram telah menjadi media sosial yang cukup populer di Indonesia, termasuk untuk promosi produk. Kegiatan pengabdian masyarakat ini akan mencoba menjawab permasalahan: bagaimana cara meningkatkan kapasitas tenant Inbistro agar mereka memahami dasar-dasar pemasaran melalui Instagram (Instagram marketing)? Pelatihan kami rancang dalam 3 (tiga) sesi yang membahas: (1) Pentingnya memanfaatkan Instagram sebagai sarana pemasaran suatu bisnis; (2) Cara mencari foto dan video berkualitas, tanpa berbayar, untuk konten Instagram; (3) Cara mencari produk dan menjualnya di Instagram.
Kata Kunci: Instagram Marketing, Inkubator Bisnis Trilogi, Inbistro, media sosial, pemasaran daring
Abstract:Abstract: The advancement of digital technology has made it easier to create, process, and distribute files—using 317 files from the dataset https://www.kaggle.com/datasets/axon data/selfie-and-official-id-photo-dataset-18k…
t-18k images?select=metadata_image.csv has also introduced new challenges, such as the increasing practice of digital file manipulation that is difficult to detect visually. Therefore, an intelligent digital forensics system that can automatically and accurately detect file authenticity is required. This study aims to develop an intelligent digital forensics system for detecting file manipulation by leveraging metadata analysis and the Random Forest classification method. The methods used include extracting metadata from digital files—such as time information, device details, and processing history—followed by analysis to identify patterns of inconsistency that indicate manipulation. This data is then used as features in the classification process using the Random Forest algorithm to distinguish between original and manipulated files. The results of this study are expected to show that the use of metadata analysis combined with the Random Forest algorithm can improve accuracy in detecting digital file manipulation compared to conventional methods. The resulting system is expected to provide an effective, efficient, and integrated solution to support digital forensic investigations, Based on the test results, the system demonstrated good performance with an accuracy rate of 94%.
Keywords: Digital Forensics;File Manipulation;Metadata Analysis;Random Forest;Classification;Machine Learning
Abstrak:Perkembangan teknologi digital telah meningkatkan kemudahan dalam pembuatan, pengolahan,dan distribusi file sebanyak 317 file, sumber datasets https:// www.kaggle.com/datasets/axondata/selfie-and-official-id-photo-dataset-18k-images?select =metadata_image.csv, namun juga menimbulkan tantangan baru berupa meningkatnya praktik manipulasi file digital yang sulit dideteksi secara kasat mata. Oleh karena itu, diperlukan suatu sistem forensik digital yang cerdas dan mampu mendeteksi keaslian file secara otomatis dan akurat. Penelitian ini bertujuan untuk mengembangkan sistem forensik digital cerdas untuk deteksi manipulasi file dengan memanfaatkan analisis metadata dan metode klasifikasi Random Forest. Metode yang digunakan meliputi proses ekstraksi metadata dari file digital, seperti informasi waktu, perangkat, dan riwayat pengolahan, kemudian dilakukan analisis untuk menemukan pola ketidaksesuaian yang mengindikasikan adanya manipulasi. Selanjutnya, data tersebut digunakan sebagai fitur dalam proses klasifikasi menggunakan algoritma Random Forest untuk membedakan antara file asli dan file yang telah dimanipulasi. Hasil dari penelitian ini diharapkan menunjukkan bahwa penggunaan analisis metadata yang dikombinasikan dengan algoritma Random Forest mampu meningkatkan akurasi dalam mendeteksi manipulasi file digital dibandingkan metode konvensional. Sistem yang dihasilkan dapat memberikan solusi yang efektif, efisien, dan terintegrasi dalam mendukung proses investigasi forensik digital, Berdasarkan hasil pengujian, sistem menunjukkan performa yang baik dengan tingkat akurasi sebesar 94%.
Kata Kunci: Forensik Digital, Manipulasi File, Metadata, Random Forest, Klasifikasi, Machine Learning.
Abstract:Abstract: The rice plant, Oryza sativa, is a major food source in Indonesia. This plant is processed into rice, a staple food for the Indonesian people. Rice growth is crucial to ensure the rice produced is of good quality.…
ty. One part of the rice plant that is susceptible to disease is the leaves, which can inhibit growth and reduce rice quality. Therefore, early detection and accurate classification of rice diseases are crucial to minimize these negative impacts. This has driven the development of a Deep Learning model capable of high-performance automatic classification. This study aims to create a rice leaf classification model using the CNN algorithm and several transfer learning architectures such as ResNet101, VGG16, and Xception. A dataset of 859 rice leaf images collected from the Kaggle website was then processed using augmentation techniques to a total of 2,439 images, plus 215 smartphone photos for external data validation. Thus, the total dataset increased to 2,656 images, covering four categories: leafblast, brownspot, healthy, and hispa. The model was processed in two stages: on the initial dataset (Non-Augmented Dataset) and the Augmented Dataset. The best experimental results were obtained using the ResNet architecture, with a training accuracy of 96.17% and a validation accuracy of 95.22%. Based on the research results, the rice plant disease classification model using deep learning demonstrated good performance.
Keywords: convolutional neural network; deep learning; fine-tuning; image classification; resnet; rice plant
Abstract:Abstract: The implementation of Geographic Information Systems (GIS) within organizations has become essential in accomplishing work activities in the modern era. Sideak Motor is a financing company in Kisaran City, Asahan…
an Regency, that provides loans using motorcycle registration certificates (BPKB) as collateral, with a customer base reaching 6,052. Sideak Motor faces difficulties in data management. During meetings concerning customer locations, data communication with owners and office staff is often problematic. Additionally, when duties are transferred, new field officers struggle to locate customers because the previous officers could only provide textual information. As a result, office staff have no precise knowledge of customer locations—only the field officers do. This study aims to design a web-based customer mapping system to facilitate information storage, reduce costs, save time, and produce an information system that enhances the efficiency and accuracy of customer data management. The resulting system presents the distribution of customer locations and provides accessible information such as personal data, addresses, route details, and photos of customers’ homes, thereby simplifying the operations of Sideak Motor.
Keywords: customer distribution mapping; geographic information system (GIS); sideak motor.
Abstrak: Penerapan sistem informasi geografis dalam organisasi menjadi hal utama untuk menyelesaikan suatu aktivitas pekerjaan pada era sekarang ini. Sideak Motor merupakan salah satu perusahaan pembiayaan dengan agunan BPKB sepeda motor di Kota Kisaran Kabupaten Asahan yang memiliki nasabah mencapai 6.052, Sideak Motor kesulitan dalam pengelolaan data, saat melakukan rapat mengenai lokasi nasabah sulit dilakukan komunikasi data dengan pemilik dan petugas kantor lainnya, serta pada saat pergantian tugas, petugas lainnya kesulitan mencari lokasi nasabah, karena petugas lapangan hanya bisa memberikan informasi berupa teks, dengan begitu petugas kantor tidak mengetahui lokasi pasti nasabah Sideak Motor, jadi yang mengetahui lokasi mengenai tempat tinggal nasabah hanya petugas lapangan. Penelitian ini memiliki tujuan untuk merancang sebuah sistem pemetaan nasabah berbasis web yang dapat mempermudah dalam penyimpanan informasi, mengurangi biaya, menghemat waktu serta menghasilkan sistem informasi yang dapat meningkatkan efisiensi dan akurasi pengelolaan data nasabah. Hasil sistem ini menyajikan sebaran pemetaan lokasi nasabah menyediakan informasi berupa biodata, alamat, rincian rute, dan gambar rumah nasabah yang dapat diakses secara cepat dan akurat sehingga dapat mempermudah pihak sideak motor.
Kata Kunci: pemetaan sebaran nasabah; sistem informasi geografis (SIG); sideak motor
Abstract:Abstract: Photo Copy Machine is a machine which used for duplicating data on paper for many purpose. So this Machine is very important for many people. Cause of it. This machine can be damage quickly. And photo copy’ s…
™ s machine is not a simple machine, becase all spare part in this machine is connecting one another. This condition can be worst because the comparison between machine and technicians not balance and this condition make user need more time to fix that machine. Expert System is Computer Based system which adopting the expert skill to solve the problem base on the expert. This system is very suitable to solve the problem because with expert system, the user can know the machine damage and know how to fix this machine. And this sistem can be useful for user.with forward Chaining method. And the purpose from this research to make an expert system to analize the problem which can be realize from the machine’s operational dan fix it.
Keyword: Expert System; Damage analysis; Forward Chaining; Photocopy Machine
Abstrak:Mesin fotokopi merupakan mesin yang digunakan untuk menggandakan dokumen dalam bentuk kertas yang akan digunakan untuk berbagai keperluan, tingginya kebutuhan akan mesin fotokopi ini membuat pengoperasionalan mesin sangat tinggi dalam waktu yang lama. Keadaan ini membuat kondisi mesin menjadi turun dan mudah mengalami kerusakan. Mesin fotokopi merupakan salah satu mesin yang kompleks yang saling berhubungan satu sama lain, sehingga perlu penanganan ahli dalam memperbaikinya. Keterbatasan jumlah teknisi membuat mesin yang rusak lama untuk diperbaiki, sehingga diperlukan sebuah sistem yang dapat menggantikan posisi pakar dalam memperbaiki mesin fotokopi. Sistem pakar merupakan sistem yang berbasis komputer yang mengadopsi cara kerja pakar dalam menganalisa suatu masalah dengan metode yang telah disesuaikan dengan masalah yang ada, berdasarkan masalah yang telah dijabarkan diatas. Tujuan dari penelitian ini adalah bagaimana menciptakan sebuah aplikasi sistem pakar dengan metode forward chaining untuk menganalisa kerusakan mesin dan memberikan solusi untuk memperbaiki mesin fotokopi tersebut.
Kata Kunci: Analisa Kerusakan; Forward Chaining; Fotokopi; Sistem Pakar.
Abstract:Abstract:Computer data security relies on preventing data theft from irresponsible parties by using cryptography method. Some cryptography algorithms have good and poor performance in encrypting and decrypting data depending…
ding on the key types. Therefore the purpose of this research is to measure the performance of the hybrid algorithm, consisting a symmetric keyBlowfish algorithm and an asymmetric key RSA algorithm, in encrypting and decrypting multiple types of data such as documents, photos, audios, and videos. The result is the performance of the hybrid algorithm is almost on par with Blowfish and provides a more secure data encryption and decryption by taking advantage of RSA algorithm. The average encryption performance of hybrid algorithm is 0.85s on document, 1.06s on photo, 3.38s on audio, and 15.56s on video. While the average decryption performance of hybrid algorithm is 1.01s on document, 1.38s on photo, 4.3s on audio, and 27.56s on video.
Keywords:Hybrid cryptography, Data security, Performance, Blowfish, RSA
Abstrak:Keamanan data komputer berhubungan dengan pencegahan dari pencurian data oleh pihak yang tidak bertanggung jawab, salah satu cara pengamanan data komputer yaitu dengan teknik kriptografi. Beberapa metode kriptografi memiliki performa yang baik dan buruk tergantung dengan tipe kuncinya. Maka dari itu, tujuan dari penelitian ini adalah mengukur tingkat kecepatan kriptografi hybrid, terdiri dari algoritma simetris Blowfish dan algoritma asimetris RSA, dengan beberapa tipe data seperti dokumen, foto, audio dan video. Hasil dari penelitian ini adalah algoritma hybrid memiliki performa yang tidak jauh berbeda dari algoritma Blowfish dan membuat proses enkripsi dan dekripsi data lebih aman dengan keunggulan dari algoritma RSA. Rata-rata kecepatan enkripsi algoritma hybrid untuk dokumen 0,85 detik, gambar 1,06 detik, audio 3,38 detik, dan video 15,56 detik. Sedangkan rata-rata kecepatan dekripsi algoritma hybrid untuk dokumen 1,01 detik, gambar 1,38 detik, audio 4,3 detik, dan video 27,56 detik.
Kata kunci:Kriptografihybrid, Keamanan data, Performa, Blowfish, RSA
Abstract:This study aims to analyze the format for the preparation of the Curriculum Merdeka and the appropriate presentation media for this curriculum. A format preparation is a decision made about learning objectives and the strategies…
rategies and methods needed to achieve these goals as well as a study of the effectiveness and meaning of these methods and strategies. In addition, the Government gives authority to schools to make their vision, mission and characteristics a reference for operational curriculum development. Presentation media is said to be a graphic, photographic tool, and can also be in the form of an electronic device that has the function of capturing, processing and rearranging information in the form of verbal or visual. English learning is developing English language skills in a contextual and acceptable manner according to the context and conditions and situations of students' daily lives. This is to produce a form of learning English that is more in touch with the language needs of students. Curriculum Merdeka is a curriculum which in its development is the result of adjustments to the latest conditions in an area and in accordance with the development of students due to contemporary issues that are currently happening. This research is use method literature study. Data collected and analyzed entirely from the literature as well as other documentation materials, such as writing in journals or other media relevant and still being studied.
Abstract:The rapid development of the world of information and communication has made changes in the world of marketing, one of which is the existence of social media marketing. Various social media platforms are now provided including…
luding TikTok, Line, WhatsApp, YouTube and so on. Instagram is no exception, which is used as a marketing medium by the courier service (jastip) @my_shopper.id. The purpose of this study is to find out the use of Instagram as a marketing medium for the courier service business @my_shopper.id. A service for depositing branded goods such as clothes, bags, perfumes and others. The research method uses a qualitative descriptive type to clearly know the information from the jastip account owner regarding the use of Instagram social media as a marketing tool. Data collection is carried out by in-depth interviews with account owners, then collects documentation by capturing content layers used in Instagram accounts. Data analysis uses Miles and Huberman, namely by data reduction, data presentation and verification. Test the validity of the data using triangulation techniques for conducting interviews and collecting documents to informants. The results of the study indicate that the surrogate service account (jastip) @my_shopper.id does social media marketing through an Instagram account. Account owners use various available features such as comment fields, Instagram bio, Instagram traffic, feeds, reels. The content created also varies such as product photos, product review videos, uploading customer testimonials to uploads regarding the order packaging process. The use of Instagram as a marketing medium has the advantage of increasing traffic and making people know about this jastip. Weaknesses obtained include missing information, sometimes customers do not know branded products and entrusting services.
Abstract:Anemia masih menjadi masalah kesehatan yang banyak terjadi pada remaja putri dan ibu hamil. Penggunaan tablet zat besi sebagai upaya pencegahan anemia sering menimbulkan efek samping sehingga menurunkan kepatuhan konsumsi.…
i. Oleh karena itu, diperlukan alternatif suplemen alami yang lebih nyaman dan mudah diterima masyarakat. Penelitian ini bertujuan mengembangkan kapsul herbal antianemia berbahan dasar stroberi lokal Sumatera Barat (Fragaria × ananassa) serta mengevaluasi potensi awalnya dalam meningkatkan kadar hemoglobin. Penelitian menggunakan metode research and development yang meliputi pengolahan stroberi menjadi bubuk melalui metode freeze drying, analisis kandungan zat besi menggunakan Atomic Absorption Spectrophotometry, formulasi dosis, dan uji awal efektivitas produk dengan desain pretest-posttest pada lima responden selama tujuh hari. Hasil penelitian menunjukkan bahwa bubuk stroberi mengandung zat besi sebesar 372,94 mg/kg. Produk yang dihasilkan diberi nama Hemavita dan diformulasikan sebagai suplemen pemeliharaan yang menyediakan sekitar 20% kebutuhan zat besi harian. Rata-rata kadar hemoglobin meningkat dari 12,36 ± 1,64 g/dL sebelum intervensi menjadi 13,74 ± 2,05 g/dL setelah intervensi, dengan rata-rata peningkatan sebesar 1,38 ± 0,68 g/dL. Hasil ini menunjukkan bahwa kapsul stroberi berpotensi menjadi alternatif suplemen herbal untuk membantu meningkatkan kadar hemoglobin. Penelitian lanjutan dengan jumlah sampel yang lebih besar diperlukan untuk mengonfirmasi efektivitas produk.