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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Seminar Nasional Aplikasi Teknologi Informasi (SNATI) CommIT (Communication & Information Technology) Jurnal Kebidanan Dan Kesehatan Tradisional JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal SOLMA International Journal of New Media Technology CHEESA: Chemical Engineering Research Articles Jurnal ULTIMA InfoSys Jurnal ULTIMA Computing JISIP: Jurnal Ilmu Sosial dan Pendidikan PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat JISICOM (Journal of Information System, Infomatics and Computing) ACADEMICS IN ACTION Journal of Community Empowerment Journal of Information Systems and Informatics JISA (Jurnal Informatika dan Sains) Jurnal PORKES Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies Jurnal Darma Agung Indonesian Journal of Global Health research Indonesia Berdaya Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Integral : Jurnal Penelitian Pendidikan Matematika Warta AKAB Jurnal Pengabdian Masyarakat Nusantara Journal Midwifery Jurusan Kebidanan Politeknik Kesehatan Gorontalo Jurnal Abdi Masyarakat Indonesia Ikhtisar: Jurnal Pengetahuan Islam International Journal of Management Science and Information Technology (IJMSIT) Jurnal Begawe Teknologi Informasi Prabayaksa: Journal of History Education Indonesian Journal of Cancer IT For Society : Journal of Information Technology Sharia Agribusiness Journal Journal of Industrial Community Empowerment Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Indonesian Journal of Community Empowerment (IJCE) e-Jurnal Apresiasi Ekonomi JPM-AKA HUPERETES: Jurnal Teologi dan Pendidikan Kristen Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics Neraca Manajemen, Akuntansi, dan Ekonomi Jurnal Kesehatan Metro Sai Wawai Jurnal Multidisiplin Indonesia Journal of Social Work and Science Education ZIJEn: Zabags International Journal of Engagement Akiratech JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Sipil Sains Terapan
Rosalina Rosalina
President University
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Peningkatan Layanan Kesehatan Karyawan Melalui Sistem Informasi Perlindungan, Pelacakan, dan Pengawasan Covid-19 Rosalina, Rosalina; Sahuri, Genta; Leandro Okhotan3, Simplisius
Jurnal Pengabdian Masyarakat Nusantara (JPMN) Vol. 3 No. 1 (2023): Februari-Juli 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpmn.v3i1.832

Abstract

During the pandemic, PT. Trendology Indonesia applies the WFH system and implements a work shift system to reduce workplace density. Office and factory space occupancy quotas have been set to limit density and physical contact. PT. Trenologi Indonesia also provides health support to all of its employees by providing medicines or supporting vitamins, routine SWAB Antigen/PCR checks, sharing information regarding locations of vaccination points, and supporting other health systems during the COVID-19 pandemic. In addition, the Human Resources Division must also check employee attendance and employee positions during working hours. However, the process is still carried out by the Human Resources Division manually which causes delays and obstacles. To check and monitor the health conditions of workers so that they can optimally complete their work, one solution is to provide a website that has important features that can be accessed by all workers. So, from the results of this dedication, it will make it easier for the Human Resources (HR) team at partners to collect data for information related to COVID-19 such as vaccination data, health data data, and other information, besides that this system also helps HRD in tracking and monitoring health conditions employees
Peningkatan Sarana Pembelajaran Daring Dengan Optimalisasi Penggunaan Video Editing Di SMPIT Annida Rosalina, Rosalina; Sahuri, Genta; Min An, Chong; Mandala, Rila
Jurnal Pengabdian Masyarakat Nusantara (JPMN) Vol. 3 No. 1 (2023): Februari-Juli 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpmn.v3i1.846

Abstract

The advantage of video media in education is that it can boost students' interest in the subject matter by allowing them to watch and hear. Teachers are expected to be able to develop engaging learning materials that encourage students to participate actively in their education. This PkM activity was completed at SMPIT Annida as an activity partner. The issues that were identified were 1) The teacher's ability to self-produce learning media, particularly in making learning videos, 2) The availability of free software that could be used to produce video learning media, but never utilized by teachers, and 3) the improvement process for teaching and learning that is effective, efficient, and more engaging. The focus of this activity was on the instructors and students.
Meningkatkan Pemahaman Siswa SMA Don Bosco 3 Cikarang Mengenai Internet Sehat, Gamifikasi Dan Pergaulan Lawan Jenis di Era Digital Rosalina, Rosalina; Sahuri, Genta; Mandala, Rila; Fahmi, Hasanul
Jurnal Pengabdian Masyarakat Nusantara (JPMN) Vol. 3 No. 2 (2023): Agustus 2023 - Januari 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpmn.v3i2.1679

Abstract

In today's digital age, high school students have to survive a dynamic and interconnected online environment. Promoting responsible digital citizenship and cultivating pleasant contacts, particularly those with the opposite sex, is critical as kids develop both intellectually and socially. The goal of this activity is to: (1) educate high school students about the responsible and ethical use of the internet, emphasizing the importance of online safety, privacy, and respect for others; (2) encourage students to develop healthy internet usage habits by providing them with the knowledge and tools to navigate the digital world responsibly; and (3) use gamification principles to engage and motivate high school students to adopt responsible online behavior. The activity was held at SMA Don Bosco 3 Cikarang and was attended by students as well as teachers.
Implementation of Minimax with Alpha-Beta Pruning as Computer Player in Congklak Brian Sumali; Ivan Michael Siregar; Rosalina Rosalina
Jurnal Teknik Informatika dan Sistem Informasi Vol 2 No 2 (2016): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v2i2.619

Abstract

Congklak is one of the most popular traditional board games in Indonesia. It is said to train mathematical aspect of the player. Interestingly, nowadays more and more people are becoming less interested. Nowadays, people are paying less attention to traditional things and instead focus more to digital and electronic devices, including Indonesian. Traditional things are beginning to be forgotten from the minds of Indonesian. To re-capture Indonesian’s heart for traditional things, one of the ways is to digitize them. Hopefully by making a video game of Congklak more people, especially Indonesian, become more interested in Congklak as one of Indonesian traditional. Minimax Algorithm with its improvement, Alpha-Beta pruning is an option to make an intelligent computer player for Congklak. By applying Minimax Algorithm to the computer player, it becomes intelligent enough to play Congklak as a good opponent; making the game more fun.Keywords— congklak, minimax algorithm, alpha-beta pruning, artificial intelligence 
Powerpoint Controller using Speech Recognition Christina Christina; Rosalina Rosalina; Raden Bagus Wahyu; Rusdianto Roestam
Jurnal Teknik Informatika dan Sistem Informasi Vol 3 No 2 (2017): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v3i2.670

Abstract

During presentation, it is hard to maintain the slide because we need to stand in front of the room and often not able to touch the computer. The presenters need to take attention at both their voice, and body language such eye contact, facial expression, posture, gesture, and body orientation. Microsoft PowerPoint is a simple but very useful tool to create digital presentation. Even though it is simple to use, but this application required the presenter to take control while using it, such as to star the slide show or moving it to the next slide. The purpose of this research is to minimize physical contact between user and the computer during the presentation by controlling the move of the slide using voice. This research will implement the Hidden Markov Model algorithm and Sphinx-4 library.
Implementation of Securing Data in the Cloud using Combined Cryptography and Steganography Rosalina Rosalina; Nur Hadisukmana
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1922

Abstract

The recent advance in information technology field forcing us to ensure the privacy of the digital data. It is very important to develop the method that may satisfy the needs. Many methods/techniques applied to reach that goal. One of efficient way to reach that secrecy can be achieved with implementing steganography. TheStego application is using Steganography to work in the digital domain and hides the data information within speech signal. To increase the security, TheStego combines steganography techniques with MD5 encryption techniques. Steganography techniques that applied in TheStego application is using LSB (Least Significant Byte) method. This application have three main features: hide text in an audio carrier, hide image within the audio and an audio inside a wave signal of an audio carrier. TheStego also required the user to enter password before the processing of data hiding begin. The password will act as decryption password. Such approach is implemented to increase the security of this application. So, only the one who knows the password that can extract and decrypt the data inside of the application.
Pendeteksian Penyakit pada Daun Cabai dengan Menggunakan Metode Deep Learning Rosalina Rosalina; Ardi Wijaya
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 3 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i3.2857

Abstract

Chili is one of the most essential horticultural plants in Indonesia. In addition to the lack of supply of plants, the price of chili on the market has increased dramatically. The shortage is affected by unpredictable climate changes, which have to result in many chili plants suffering from crop failure. It was because the disease infects chili plants so that harvests are decreased. This work would incorporate Deep Learning for image processing in Disease Detection Systems. This disease detection method will be used to help users, in particular chili farmers, identify whether or not the leaves of their chili plants are contaminated with the disease. This system would take a picture of chili leaf using a Raspberry Pi camera and implement image processing on the chili leaf image to collect valuable information on the image to find out whether or not the chili leaf is contaminated with the disease. The purpose of this research is to make a desktop application for a disease detection system that has the ability to detect whether or not a chili leaf is infected by several diseases, display the condition of the chili leaves, display the type of disease that infects the chili leaves (if any), and provide a percentage probability of the system in detecting the image of the chili leaves correctly (whether it is healthy chili leaves or sick chili leaves). The system reaches 100 percent accuracy with good brightness and distance less than 1 meter, while the system reaches 68.8 percent accuracy with poor brightness and distance greater than or equal to 100 percent. Keywords— chili leaf; deep learning; disease detection; raspberry pi
PENERAPAN HADOOP DALAM ANALISIS SENTIMEN ULASAN PENGGUNA DI PLATFROM ECCOMERCE Kasim, Nurdian; Ardini, Ni Luh Ica; Muharramah, Alfi Zahrah; Hikma, Hikma; Al Qadri, Muhammad Vannes; Rosalina, Rosalina; Asriyani, Wa Ode; Eviriawan, Eviriawan; Sajiah, Adha Mashur
Journal of Information System, Informatics and Computing Vol 9 No 1 (2025): JISICOM (June 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v9i1.1784

Abstract

Studi ini menyelidiki penggunaan teknologi Hadoop dan algoritma Naive Bayes untuk menganalisis sentimen ulasan pengguna di platform e-commerce. Data yang digunakan berasal dari 391.500 ulasan dari aplikasi Shopee yang dikumpulkan melalui scraping Google Play Store. Implementasi model klasifikasi sentimen, pengumpulan data melalui web scraping, dan pra-pemrosesan data menggunakan PySpark adalah metodologi penelitian. Hasil penelitian menunjukkan bahwa model Naive Bayes dapat mengklasifikasikan perasaan pengguna dengan akurasi 87%. Menurut analisis word cloud, elemen seperti gratis ongkir dan kemudahan penggunaan menjadi pendorong utama sentimen positif. Sementara itu, sentimen negatif didominasi oleh masalah teknis aplikasi dan layanan pelanggan. Penelitian ini menunjukkan bahwa penggunaan Hadoop dan Naive Bayes dalam analisis data ulasan berskala besar saat mengembangkan platform e-commerce adalah efektif.
Pelatihan Digital Learning untuk Meningkatkan Kepekaan Perlindungan dan Pendidikan Seksual kepada Anak Sekolah Dasar Sinduningrum, Estu; Rossianiz, Arien Biangningrum; Pinardi, Sofia; Hilda, Atiqah Meuti; Hadi, Windia; Rosalina, Rosalina; Imanda, Rahmi
Jurnal Abdi Masyarakat Indonesia Vol 5 No 3 (2025): JAMSI - Mei 2025
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jamsi.1763

Abstract

Perkembangan media sosial mudah ditonton tanpa batas waktu dimana dan kapan saja, membuat kekhawatiran tersendiri dari orangtua terhadap perilaku sosial anak. Meningkatnya kasus pelecehan seksual, adalah salah satu dari begitu banyak dampak dari penggunaan media sosial. Salah satu cara untuk mencegah anak agar tidak mengalami pelecehan seksual adalah dengan memberikan pemahaman mengenai hal bersifat seksual kepada anak. Akan tetapi stigma tabu ketika membicarakan pendidikan seksual masih sangat melekat dalam masyarakat di Indonesia saat ini. Pihak yang berperan untuk memberikan pendidikan seksual adalah guru di sekolah. Pelatihan ini diikuti oleh guru sebanyak 7 orang dan anak didik kelas 5 sebanyak 33 siswa/siswi di SDN Susukan 09 Pagi, Jakarta Timur. Metode pengabdian ini adalah dalam bentuk ceramah dan diskusi, serta praktik mengggunakan aplikasi berbasis android berteknologi Augmented Reality (AR) ‘Pengenalan Anggota Tubuh’. Hasil dari metode kuesioner terhadap siswa/siswi mengalami kenaikan dari 50% menjadi 92.857%  dan guru dari 56.06%  menjadi 94.94%. Peningkatan kemampuan dalam menggunakan aplikasi oleh siswa/siswi sebesar 89%. Penggunaan teknologi AR pada media pembelajaran menjadikannya interaktif dan menarik, sehingga efektif dalam memberi pembelajaran kepada anak mengenai bagian-bagian tubuh yang pribadi serta cara melindungi dirinya dari ancaman pelecehan seksual.
Perancangan Rangkaian Pemanas Kompor Induksi Berbasis Induksi Elektromagnetik rosalina, Rosalina; Gunadi, Reza; Pratiwi, Nunik
Akiratech Vol. 2 No. 1 (2025)
Publisher : CV. Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/akiratech.v2i1.101

Abstract

Pemanas induksi termasuk ke dalam golongan sumber energy terbarukan. Keunggulan dari pemanasan induksi ini adalah lebih ramah lingkungan. Induksi elektromagnetik adalah fenomena timbulnya arus listrik karena adanya perubahan fluks magnetic diseputar kumparan. Terdapat tiga faktor yang mempengaruhi besar GGL induksi. Pertama: kecepatan perubahan medan magnet. Semakin cepat perubahan medan magnet, maka semakin besar GGL induksi yang timbul. Kedua: banyaknya lilitan. Semakin banyak lilitan akan menghasilkan GGL induksi yang semakin besar. Ketiga: Gejala magnet yang kuat dapat menimbulkan GGL induksi yang semakin besar. Tujuan penelitian ini adalah mencari nilai Arus dan Daya yang  dipakai untuk menghasilkan suhu 1000C dalam waktu yang singkat, dengan merakit kompor induksi. Cara kerja rangkaian yaitu dengan membuat output berpindah nol Utara-selatan dan nol selatan-utara pada lilitan dan terus berlangsung dengan kecepatan tinggi yakni sekitar 50Hz, diharapkan akan dihasilkan induksi magnet yang cukup kuat untuk membuat logam pada radius tertentu menjadi panas. Dari hasil Reset diperoleh data untuk mendapatkan suhu 1000C kondisi yang menunjukan lebih efisien adalah pada setting daya 240 watt dan kenaikan arus 20 Ampere pada tegangan 12 volt DC, sedang semakin dinaikan daya maka efiensi dirasa kurang karena sudah terjadi pemuaian panas pada rangkaian.
Co-Authors Abdul Ghofir Ade Davy Wiranata Afriliana, Nunik Afriyadi, Afriyadi Ahmad Zakaria Aishaa Lula Al Qadri, Muhammad Vannes Al-Tain, Qolibu Rozak Alhafish, Muhammad Radhi Alham, Fiddini Anthony Kosasi Anugrah Putra Permana Ardini, Ni Luh Ica Ario Yudo Husodo, Ario Yudo Ariyansyah, Riyan Armando, Yoel Ashura, Amar Asriyani, Wa Ode Astuti, Kristiana Aynuddin, Aynuddin Azhar, Kheiza Noor Aulia Batubara, Hani Maisyarah Bimo Seto, Kahfi Akmal Janitra Brian Sumali Brian Sumali, Brian Budi Sulistyo Bukman Lian, Bukman Candra Irawan Chairil Anwar Chong Min An Christina Christina Christina Christina Cindy Laura Davy Wiranata, Ade Desriva, Hana Dessy Wardiah, Dessy Dewanto, Muhammad Ridho Dewi, Resita Dewin, Nikrial Dharma, Agus Pambudi Djanis, Ratnawati Lilasari Djasmasari, Wittri Dwi Ratnasari Eko Supriadi Eko Susilo Elvinaadellia, Elvinaadellia Emilia Roza Endang Sri Lestari Enriyani, Riri Eviriawan, Eviriawan Fahmi, Hasanul Farhan Alif Firmansyah, Firadaus Fitri Bimantoro Friyatmi Friyatmi Galih, Yunita Gunadi, Reza Hardwin Welly Tulili Panandu Hartono, Bryan Arista Hayatuddin, Khalisah Hendra Jayanto Hikma Hikma, Hikma Hilda, Atiqah Meuti HILMAN TADJOEDIN, HILMAN Hokki Putra Handika Huwae, Raphael Bianco I Gede Pasek Suta Wijaya Ibadurrohman, Fadhil Muhammad Ivan Michael Siregar Ivan Michael Siregar, Ivan Michael Jatmika, Andy Hidayat Kahri, Ma'ruful Kasim, Nurdian Kun Fayakun Leandro Okhotan3, Simplisius Lisandi, Anisa Lita Yusnita Liyanovitasari, Liyanovitasari MA'MUN, AKHMAD HAQIQI Mahfuz, Abdul Latif Makmun, Akhmad Haqiqi Masrukhan, M. Masrukhan Maulana, Ninda Baitza Meitiyani, Meitiyani Miftahuddin Miftahuddin Min An, Chong Mohamad Zaenal Arifin Anis Muchammad Sholeh MUHAMMAD RIZAL Muharramah, Alfi Zahrah Mukhtar, Ahmad Amirrudin Nadya Rizki, Ailsya Nanda, Yovalentino Aprilian Wijaya Natia, Natia Nofendri, Yos Nugraha, Dida Septiya Nunik Afriliana Nunik Pratiwi Nur Hadisukmana Nurdiani Nurdiani, Nurdiani Nurdiansyah Nurdiansyah Nurrahmi, Rara Paridjo Paridjo, Paridjo Paryono Pinardi, Sofia Ponoharjo, Ponoharjo Pramesty, Meta Pramudya, Muhammad Kemal Caesar Aqidah Pratiwi, Nunik Prawitasari, Melisa PUJI LESTARI Puji Rahayu Puspitasari, Lutfiana Puspitasari, Riska Putri, Dwi Kemala Putri, Imalia Dwi R. B. Wahyu R.B. Wahyu Rabbani, Abrar Dyah Rachmy, Silvia Raden Bagus Wahyu Rahardjo, Rafi Diandra Dani Rahayu, Leni Sri Rahmad, Dedy Rahman, Edriza Rahmatia, Lintannisa Rahmi Imanda Ramza, Harry Regina Valeria Rifaldi Rifaldi, Rifaldi Rila Mandala Rila Mandala Rini Andriani Riyan Ariyansah Rochgiyanti Rohayani, Hani Rossianiz, Arien Biangningrum Rusdianto Roestam Rusdianto Roestam Sahuri, Genta Sahuri Sajiah, Adha Mashur Sanjaya, Yudi Ari Saputra, Iman Saputra, Riza Hadi Sengkey, Axel Septian, Wira Aditia Setyaningsih, Maryanti Sih Rini Handajani Simplisius Leandro Okhotan3 Sinduningrum, Estu Sri Agustina, Sri Sri Wahyuni Srimulati, Triwik Styani, Erna Suhartini Suhartini Sukiman, Maman Sulistiawati Sulistiawati Suryana, Kresna Dharma Susi Evanita Syahir, Muhammad Syarwan, Syarwan Tambunan, Jenny Anna Margaretha Tika, Nuri Hidayah Tjong Wan Sen Ulia, Hasnah Utami, Andita Wahyu Hidayat Wahyu, R. B. Wahyu, Raden Bagus Welly Tulili Panandu, Hardwin Widarta, Oskar Ady Widodo, Muh. Adnan Widodo, Muhammad Adnan Wijaya, Ardi Winastuti, Ambar Windia Hadi, Windia Wiranto Herry Utomo Wirawan, I Gde Putu Wirarama Wedashwara Wulandari, Triyana Wulansari Yatima, Khusnul Yusnar, Cut Yusnita, Lita Yusuf, Syahrul Bassam Yuyu Wahyu