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All Journal International Journal of Electrical and Computer Engineering TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Pro Bisnis Telematika Seminar Nasional Informatika (SEMNASIF) MIX : Jurnal Ilmiah Manajemen Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika JURNAL MEDIA INFORMATIKA BUDIDARMA Matrix : Jurnal Manajemen Teknologi dan Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) Building of Informatics, Technology and Science Jurnal Audience Journal of Information Systems and Informatics Journal of Innovation Information Technology and Application (JINITA) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Pendidikan dan Teknologi Indonesia Journal La Multiapp Decode: Jurnal Pendidikan Teknologi Informasi BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Pengabdian Mitra Masyarakat (JPMM) CSRID

Berlilana Berlilana

Universitas Amikom Purwokerto

Author-ID : 2856107

Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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MODERATION EFFECT OF SOCIAL MEDIA TO ENTREPRENEURIAL DISCOVERY AND CREATION, ANTECEDENT’S PRIOR KNOWLEDGE AND ENTREPRENEURIAL ALERTNESS. AN EMPIRICAL STUDY Berlilana Berlilana; Tri Wahyuningsih
MIX: JURNAL ILMIAH MANAJEMEN Vol 11, No 3 (2021): MIX: Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/mix.2021.v11i3.001

This study aimed to analyze and evaluate the discovery and creation of opportunities in entrepreneurship moderated by social media. Two variables were used as antecedents namely Prior Knowledge and Entrepreneurial Alertness. This research used structural equation modeling method as well as Partial Least Square (PLS) theory. There were 294 final data processed from entrepreneurs who interacted using social media. From the 5 proposed hypotheses, the 5 hypotheses were significantly positive. Prior Knowledge had a significant impact on Entrepreneurial Alertness, social media had a significant impact in moderating Prior knowledge and Entrepreneurial Alertness on finding and creating opportunities. The novelty of this research explores the concept of entrepreneurship in social media and very few researchers conduct research in this field

Pengaruh Penerapan Kualitas Kegunaan, Kualitas Informasi dan Kualitas Interaksi Website Terhadap Kepercayaan Konsumen Hotel Di Kabupaten Banyumas Berlilana Berlilana; M. Suyanto; Emha Taufiq Luthfi
Jurnal Ilmiah IT CIDA Vol 3, No 2: Desember 2017
Publisher : STMIK Amikom Surakarta

Tujuan penulisan adalah untuk mengetahui pengaruh kualitas kegunaan, kulitas informasi dan kualitas interaksi website terhadap tingkat kepercayaan konsumen (Customer Trust). Pemilihan responden adalah tamu-tamu pada hotel yang menggunakan travel agent online untuk reservasi. Ukuran sampel ditentukan dengan metode Slovin, berdasarkan metode tersebut diperoleh ukuran sampel 205. Ukuran sampel ini sudah memenuhi syarat dalam analisis data dengan teknik structurel equation model dengan software AMOS, yaitu ukuran sampel minimal lima kali banyaknya indikator yang digunakan yaitu minimal 5 x 18 = 90 responden. Ketentuan lainnya adalah sepuluh kali banyaknya indikator yang digunakan yaitu minimal 10 x 18 = 180 responden. Analisis data dengan menggunakan metode Structural Equation Model (SEM) yang terdiri dari 7 tahap. Data yang diolah dengan teknik structural equation modelling (SEM) menggunakan software AMOS 22 mendapatkan hasil terdapat pengaruh positif kualitas kegunaan (Kkeg), kualitas informasi (Kinf) dan kualitas interaksi(Kint) terhadap kepercayaan konsumen (Kkep).Kata Kunci : Website, kepercayaan konsumen, structural equation modelling (SEM)

Smart Face-shield Berteknologi Internet of Things sebagai Alat Pelindung Diri di Era Pandemi Covid-19 Berlilana Berlilana; Bagus Adhi Kusuma; Fikri Ramadhan
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3307

Covid-19 or Corona is a pandemic virus that has spread in almost all parts of the world. The speed of transmission of this virus is a major problem. This virus can be spread quickly through coughing, sneezing, talking, which essentially can expel droplets because this virus mostly has a host in droplets. The face area can easily be infected with Covid-19, for example entering through the eyes, nose or mouth. In this era of a pandemic, there are so many OTG or people without symptoms that it becomes a problem in suppressing this disease. There are also people with fever symptoms which are one of the indications for corona disease but are not necessarily positive, they must go through initial screening such as rapid tests and PCR (Polymerase Chain Reaction) to more accurately identify someone exposed to Covid-19 or not. In the era of the new normal pandemic, it is very difficult to trace someone's contact with anyone, especially if there is one patient who is positive for Covid-19. Therefore, the purpose of this research is proposed, namely to create a tool that essentially functions as a tool for social distancing reminders that is integrated in an PPE, namely Face-Shield. This face-shield has an RGB camera, thermal camera and proximity sensor. The distance measurement method uses the ultrasonic wave ping principle which will detect a distance between humans of about 1 meter. The AMD 8833 thermal camera detects the ambient temperature and the RGB camera to display an image of the environment if needed via a computer connection. In order to facilitate data monitoring, Android smartphones are also integrated with this system to view temperature and distance data via an Internet connection. The results of the tests carried out using black-box testing of all component devices run properly

Pengaruh Teknologi Informasi Revolusi Industri 4.0 terhadap Perkembangan UMKM Sektor Industri Pengolahan Berlilana Berlilana; Rinda Utami; Wiga Maulana Baihaqi
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol 10 No 3 (2020): MATRIX - Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v10i3.1930

Pertumbuhan ekonomi di Indonesia dapat dipengaruhi oleh perkembangan Usaha Mikro Kecil Menengah (UMKM). Teknologi baru era industri 4.0 menjadi salah satu penghambat perkembangan UMKM di Indonesia, karena pelaku UMKM tidak memiliki kemampuan untuk mengadopsi teknologi baru. Jika para pelaku UMKM dapat memanfaatkan teknologi seperti sistem informasi penjualan, media sosial, dan Google Bisnisku, maka teknologi tersebut akan dapat membantu dalam proses penjualan, pemasaran, dan komunikasi dengan pelanggan. Tujuan penelitian ini adalah untuk mengetahui kegunaan teknologi informasi seperti sistem informasi penjualan, media sosial, dan Google Bisnisku yang ada dalam UMKM dan mengetahui pengaruh teknologi informasi tersebut terhadap keberhasilan UMKM Kabupaten Banyumas. Metode penelitian yang digunakan adalah metode kuantitatif deskriptif dengan bantuan SPSS 22. Hasil penelitian menunjukkan UMKM yang sudah menggunakan teknologi seperti Tokopedia, Instagram, dan Google Maps berkembang dengan pesat. Omset dan aset semakin banyak, serta proses komunikasi dengan pelanggan menjadi semakin mudah. Hasil tersebut menandakan bahwa penggunaan teknologi informasi industri 4.0 dapat mempengaruhi perkembangan UMKM sehingga hubungan antara kedua variabel tersebut dapat dikatakan kuat.Pertumbuhan ekonomi di Indonesia dapat dipengaruhi oleh perkembangan Usaha Mikro Kecil Menengah (UMKM). Teknologi baru era industri 4.0 menjadi salah satu penghambat perkembangan UMKM di Indonesia, karena pelaku UMKM tidak memiliki kemampuan untuk mengadopsi teknologi baru. Jika para pelaku UMKM dapat memanfaatkan teknologi seperti sistem informasi penjualan, media sosial, dan Google Bisnisku, maka teknologi tersebut akan dapat membantu dalam proses penjualan, pemasaran, dan komunikasi dengan pelanggan. Tujuan penelitian ini adalah untuk mengetahui kegunaan teknologi informasi seperti sistem informasi penjualan, media sosial, dan Google Bisnisku yang ada dalam UMKM dan mengetahui pengaruh teknologi informasi tersebut terhadap keberhasilan UMKM Kabupaten Banyumas. Metode penelitian yang digunakan adalah metode kuantitatif deskriptif dengan bantuan SPSS 22. Hasil penelitian menunjukkan UMKM yang sudah menggunakan teknologi seperti Tokopedia, Instagram, dan Google Maps berkembang dengan pesat. Omset dan aset semakin banyak, serta proses komunikasi dengan pelanggan menjadi semakin mudah. Hasil tersebut menandakan bahwa penggunaan teknologi informasi industri 4.0 dapat mempengaruhi perkembangan UMKM sehingga hubungan antara kedua variabel tersebut dapat dikatakan kuat.

DEVELOPMENT OF APPLICATION PROGRAMMING INTERFACE (API) FOR AMIKOM PURWOKERTO HANDSANITIZER (AMPUH) DATA LOGGER VISUALIZATION Agnis Nur Afa Zumaroh; Trisna Maulida; Hasri Akbar Awal Rozaq; Rona Sepri Ananda; Alif Yahya Syafaat; Imam Tahyudin; Berlilana
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.222

The Internet of Things (IoT) of AMPUH adheres to three simple concepts: physical devices with IoT modules, internet-connected devices, and cloud data centers as data storage places. ThingSpeak is an IoT platform that is useful as a cloud-based data logger. Data loggers in the form of primary data or raw data need a web dashboard for data visualization because of not communicative. Therefore, this research has aim to construct API of AMPUH visualization for be used by frontend team. This research converted MATLAB programming language into PHP programming language. The data logger processing uses the powerful programming method because this method is time-efficient and can fix if an error occurs in the system development stage without having to repeat the process from the beginning. The Extreme Programming method has four steps: planning, design, coding, and testing. The processing of data loggers from the ThingSpeak platform uses the Laravel Framework to generate APIs that the frontend team will use. The researcher managed the data logger from ThingSpeak using the Laravel framework to produce several APIs used by the frontend team to visualize the data be interactive and informatively.

Pelatihan Aplikasi Teknis Pengembangan Marketing Online Bagi Ukm Se-Balingmascakeb Rizki Wahyudi; Andi Dwi Riyanto; Berlilana Berlilana
Jurnal Pengabdian Mitra Masyarakat (JPMM) Vol 1, No 1: April 2019
Publisher : Universitas Amikom Purwokerto

Usaha Kecil Menengah (UKM) memiliki peran penting dalam pembangunan ekonomi nasional, namun dalam perkembangannya terdapat hambatan-hambatan, baik yang bersifat internal maupun eksternal. Hambatan eksternal yang harus di waspadai adalah persaingan produk dalam era digital, pada era digital produk bersaing bebas dengan memanfaatkan teknologi digital salah satu adalah Pemasaran digital (Online Marketing) adalah istilah umum untuk pemasaran produk atau jasa dengan menggunakan teknologi digital, terutama di Internet. Pemasaran digital dinilai efisien dan murah. untuk menghadapi persaingan produk dari luar daerah maupun asing. Untuk mempersiapkan pelaku usaha khususnya usaha kecil dan Menengah (UKM) perlu untuk diberikan pengetahuan dan keterampilan melalui pelatihan pemasaran produk dengan memanfaatkan perdagangan elektronik (e-commerce). Pemasaran digital sosial media, sosial media optimasi dan blog marketing yang paling banyak diminati saat ini. Beberapa teknik yang dapat seperti optimasi mesin pencari (SEO), pemasaran mesin pencari (SEM), pemasaran konten, pemasaran influencer, otomatisasi konten, pemasaran berbasis data dan pemasaran e-commerce, diharapkan dengan adanya pelatihan ini UKM dapat memiliki kemampuan pemasaran digital sehingga dapat meningkatkan citra produk dan tentunya meningkakan penjualan.

Pengembangan Aplikasi Career Development Center Ipo Novianto; Berlilana; Antonius Agung Hartono
Journal of Innovation Information Technology and Application (JINITA) Vol 3 (2021): JINITA, December 2021
Publisher : Politeknik Negeri Cilacap

Alumnuses have a role in the college progress. one of the roles of alumnuses is that alumnuses provide input to college for mapping job market. Alumnuses inputs are obtained by college through tracer study at college career center. The Career Development Center (CDC) of the Cilacap State Polytechnic (PNC) conducts a tracer study process by sending a form link via short message to the group of alumnuses. The problem with this method is that the tracer study form can be filled out by everyone who has the link. On the other hand, the officer must re-enter the same list of questions for alumnuses in different years. This study aims to create a Career Development Center application that can help PNCs to monitor the distribution of alumnuses and help CDC disseminate job vacancy information. The method used in software development uses the waterfall method. At the software testing stage, the method used is blackbox testing. Based on the results of customer feedback, 30 respondents produced a very good predicate. The conclusion of this study, the development of the Career Development Center application can help spread alumni and help CDC disseminate job vacancies information to alumni.

Perancangan Aplikasi Pengenalan Bahasa Jawa Untuk Anak Usia Dini Wenti Risma Damayanti; Hendra Marcos; Didit Suhartono; Berlilana Berlilana
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 3 No 2 (2022): September
Publisher : Puslitbang Sinergis Asa Professional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37148/bios.v3i2.53

Indonesia is a country that has an area of 1.9 million km2 and has many differences, one of which is the difference in language in each region. It is this difference in language that makes a region unique, one of which is the Javanese language which comes from Central Java, East Java, Yogyakarta and its surroundings. The Javanese language itself is a unique language, which has ungguh as a differentiator from other regional languages, therefore efforts are needed to preserve the Javanese language with the main target being early childhood. In this research method using the MDLC (Multimedia Development Life Cycle) method developed by Luther. This method has several stages, including Concept, Design, Material Collecting, Assembly, Testing, and Distribution. Based on the application that the author succeeded in making, it can be concluded that this application is very effective in helping the process of teaching and learning activities in early childhood, and this application has several benefits, namely to preserve Javanese culture, especially in the use of Javanese, making young children use language that is more polite.

AN INNOVATIVE LEARNING ENVIRONMENT: G-MOOC 4D TO ENHANCE VISUAL IMPAIRMENTS LEARNING MOTIVATION Rujianto Eko Saputro; Berlilana Berlilana; Wiga Maulana Baihaqi; Sarmini Sarmini; Yuli Purwati; Fandy Setyo Utomo
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 9 No. 2 (2024): JITK Issue February 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v9i2.5037

The proliferation of visual impairment among school-age children in Indonesia has prompted the need for specialized online learning solutions. The G-MOOC 4D platform, a novel Learning Management System (LMS), is designed to address this need by leveraging gamification and artificial intelligence to enhance accessibility for visually impaired users. This study reports on the development and testing of two AI models within the G-MOOC 4D framework: a facial recognition model for secure user authentication and a voice command model for interactive learning. User Acceptance Testing (UAT), conducted with expert users, namely teachers at a special needs school, showed high approval rates for the platform's features. The results show that all metrics, accuracy, precision, and recall reach their optimal values at a distance of 40 cm for face detection. The respective metric scores at that distance, precision: 100%, accuracy: 98%, and recall: 97%. Additionally, the voice command functionality tested achieved a 100% recognition rate, reflecting the platform’s potential to significantly ease the learning process for visually impaired students. The findings underscore the importance of integrating assistive technologies into educational platforms to ensure all students have equal access to learning opportunities.

Implementation of K-Means Clustering Algorithm to Determine the Best-Selling Snack In Purwokerto MSMES Ayuni, Ratih; Berlilana, Berlilana
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5524

This research was conducted to provide information related to the sale of existing MSME snacks, which products have many buyers and which are not, besides that this research can provide a view for the sale of various snacks whether they are still sold or selling the same snacks but with new innovations so that there are many enthusiasts. To do this, a grouping is needed, therefore the researcher chooses a k-means algorithm which will later be used for the clustering process. The grouping is divided into two, namely best-selling and under-selling products, for research data collected from January to March 2024. Then the data used includes the name of the snack, the number of stocks and the number of sales. After calculating the results of this study, the k-means algorithm performs a calculation of as many as two rounds so as to form two clusters where in cluster one the names of snacks that sell well are grouped such as cimol, noodle skewers, dimsum, egg rolls and white bread. Then in cluster two, the less selling product falls to seblak snacks so that seblak snacks can make new innovations to sell better and can compete with other products. This research succeeded in grouping and providing an overview of products that sell well or not, for future research can be reproduced related to the data used.

Co-Authors Agnis Nur Afa Zumaroh Alif Yahya Syafaat Andi Dwi Riyanto Anggi Zahriyatun Anisa Antonius Agung Hartono Ayuni, Ratih Azhari Shouni Barkah Bagaskoro, Galih Bagus Adhi Kusuma Bahari, Aris Rifki Setiya Dewi Fortuna Dhanar Intan Surya Saputra Dhanar Surya Saputra, Dhanar Surya Didit Suhartono Eko Priyanto El Emary, Ibrahiem M. M. Emha Taufiq Luthfi Erliyana Nurrahma Fandy Setyo Utomo Fiby Nur Afiana Fikri Ramadhan Giat Karyono Harimanto, Bambang Harimato, Bambang Hasri Akbar Awal Rozaq Hendra Marcos Imam Tahyudin Imam Tahyudin Ipo Novianto istiqomah istiqomah Khoirul Abbi Rokhman M. Suyanto Mardiyanto Mardiyanto Melia Dianingrum Min Tsai Lai Muhamad, Nurita Mukhlisin Mukhlisin Murtiyoso Murtiyoso Nanjar, Agi Nur Aini Nurdiyansa, Zhafran Afif Pambudi, Rahmat Pramono, Yuwono Wisudo Prastyo, Priyo Agung Prayoga, Fandhi Dhuga Prianto, Slamet Endro Primandani Arsi Purwadi Purwadi Putri, Eka Ardiya Rahman Rosyidi Rinda Utami Rizki Wahyudi Rona Sepri Ananda Rujianto Eko Saputro Saekhu, Ahmad Santi Dwi Astuti Saputra, Alfin Nur Aziz Saputro, Rujiyanto Eko Sarmini - Sarmini Setiyawan, Dillyana Tugas Seto Wahyu Widayat, Seto Wahyu Sumartono Sumartono Taqwa Hariguna Taqwa Hariguna Taqwa Hariguna Tri Astuti Tri Wahyuningsih Trisna Maulida Udianti, Asih Wahid, Arif Mu’amar Wenti Risma Damayanti Wiga Maulana Baihaqi Yuli Purwati Zanuar Rifai

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