Article Per Year (5 Year)
p-Index From 2020 - 2025
6.699
P-Index
This Author published in this journals
All Journal Indonesian Journal of Geography Jurnal Teknik Sipil dan Perencanaan Jurnal Edukasi dan Penelitian Informatika (JEPIN) Sistemasi: Jurnal Sistem Informasi Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Jurnal Teknik Komputer AMIK BSI Paradigma Jurnal Komputasi JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Pengabdian Masyarakat AbdiMas Jurnal Manajemen Informatika ELITE Journal: Journal of English Linguistics, Literature, and Education Jurnal Manajemen Informatika dan Sistem Informasi Medika Kartika : Jurnal Kedokteran dan Kesehatan JATI (Jurnal Mahasiswa Teknik Informatika) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Infortech Jurnal Graha Pengabdian Jurnal Pengabdian kepada Masyarakat Nusantara Infotech: Jurnal Informatika & Teknologi Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen JUSTIN (Jurnal Sistem dan Teknologi Informasi) Ceddi Journal of Information System and Technology (JST) Jurnal Penelitian dan Pengabdian Masyarakat Jotika Jurnal Abdimas Maduma Journal of Entrepreneurship and Community Innovations Seshiski: Southeast Journal of Language and Literary Studies Secure And Knowledge-Intelligent Research in Cybersecurity And Multimedia (SAKIRA) Intechno Journal : Information Technology Journal SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Indonesian Community Service Journal of Computer Science
Ali Mustopa, Ali
Universitas Bina Sarana Informatika
Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Social Sciences Veterinary Other

Published : 49 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 49 Documents
Search

 1   2   3   4   5 
KONSTRUKSI KECANTIKAN PEREMPUAN DALAM NOVEL GADIS PESISIR KARYA NUNUK Y. KUSMIANA Insan, Siti Rahma; Supriatna, Agus; Mustopa, Ali
Seshiski: Southeast Journal of Language and Literary Studies Vol 4 No 1 (2024): Volume 4 Issue 1 June 2024
Publisher : Himpunan Sarjana Kesusastraan Indonesia, Komisariat Sulawesi Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53922/seshiski.v4i1.61

Abstract

The aim of this research is to represent beauty and to describe the construction of beauty in the novel Pesisir Girl by Nunuk Y. Kusmiana. The method used in this research is qualitative with Naomi Wolf's feminist theory approach. The results of this research show that in the novel Pesisi Girl there is a representation of beauty and the construction of beauty. The representation of beauty is divided into three parts, namely beauty in culture, religion and sex in the coastal communities of Jayapura. The representation of beauty in culture is having white skin and being highly intellectual, religion is being able to maintain purity, and sex is being beautiful who is believed to have sexual qualities. Meanwhile, construction in culture is changing hair styles, wearing make-up, and dressing well. The construction of antiquity in religion is to convey the sanctity that is possessed. Meanwhile, sex does things that affect reproduction.
PEMETAAN PARTISIPATIF TIGA DIMENSI UNTUK POTENSI BAHAYA DI KAWASAN GUNUNG API PURBA (GAP) NGLANGGERAN DAN MITIGASINYA Priyambodo, Dewanto Yusuf; Sekarsih, Fitria Nuraini; Mustopa, Ali
Medika Kartika : Jurnal Kedokteran dan Kesehatan Medika Kartika : Jurnal Kedokteran dan Kesehatan (Edisi PIT FK Unjani)
Publisher : Fakultas Kedokteran Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Manajemen bencana merupakan tahapan awal yang penting dalam operasi Disaster Victim Identification (DVI) dan mitigasi bencana. Pemetaan lokasi bencana yang baik dapat membantu penemuan dan penyelamatan korban serta memperlancar prosedur DVI. Peta tiga dimensi (3D) adalah sarana yang paling memungkinkan untuk membuat acuan lokasi yang akurat. Data untuk membuat pemetaan 3D ini adalah foto udara bertampalan dengan menggunakan UAV (Unmanned Aerial Vehicle) atau lebih dikenal dengan drone. Hasil pemetaan 3D ini kemudian digunakan sebagai alat pemetaan partisipatif. Pemetaan partisipatif ini difokuskan untuk menandai daerah berbahaya dan mitigasinya untuk pertolongan pertama pada korban bencana. Hasilnya adalah peta partisipatif yang memberikan informasi potensi bahaya, pengaman yang hendaknya dipasang di lokasi berbahaya, alat yang wajib dibawa pengunjung, papan peringatan, alat pertolongan pertama yang wajib ada di lokasi, dan pertolongan apa saja yang dapat dilakukan. Kata kunci : DVI, gunung api purba, mitigasi, partisipatif, pemetaan 3D DOI : 10.35990/mk.v7n0.p102-114
Job Market Test Attendance System With Health Protocols Using The Internet Of Things Putra, Andriyan Dwi; Hakim, Lukman; Mustopa, Ali
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2910

Abstract

During the transitional period related to the coronavirus outbreak, the need for jobs began to increase. The number of prospective workers who will apply for a job in a company by doing a selection test at the Job Exchange. On the other hand, to suppress the spread of this epidemic, the interaction between Job Exchange officers and prospective job applicants must be limited. So by creating a Job Exchange Test attendance system according to health protocols with the Internet of Things devices, it can be used to limit the interaction of prospective job applicants with job exchange officers. This system was built using the Waterfall Model Software Development Life Cycle method, by utilizing the ESP8266 microcontroller components, the MFRC522 module, and the MLX90614 sensor which will support the performance of this system. The results of this study are taboos for prospective job applicants who have an illegal condition or have a temperature above normal, may not enter the room without interacting directly with the officer, but the device will sound a buzzer notification and a warning message will be sent from the microcontroller and received by the officer via telegram. In this study, a comparison was made to obtain the ideal distance for scanning body temperature at various different distances, and the results of the comparison obtained the smallest percentage error value of 0.027% at a distance of 3 cm.
Application of the Finite State Automata (FSA) Method in Indonesian Stemming using the Nazief & Adriani Algorithm fitriana, lady agustin; Mustopa, Ali; Firdaus, Muhammad Rifqi; Dahlia, Rizka
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i3.4038

Abstract

Language is a communication tool commonly used in everyday life. Each country has a different language with predetermined rules. For instance, in the Indonesian language, there are approximately 35 official affixes mentioned in the Big Indonesian Dictionary. These affixes include prefixes (prefixes), infixes (insertions), suffixes (suffixes), and confixes (a combination of prefixes and suffixes). In Information Retrieval, there is a stemming process, which is the process of converting a word form into a base word or the process of transforming variant words into their base form. The theory of language and automata is the foundation of the computer science field that provides the basis for ideas and models of computer systems. In the implementation of the research, several stages were carried out, such as explaining the Nazief & Adriani stemming algorithm, finite state automata, creating pseudocode, and testing using a web-based system, resulting in affixed words becoming the correct base words with 20 affixed words. The results obtained from reading this web-based system, the base word "cinta" (love) used as a test yielded accurate results in accordance with the concept of the Nazief & Adriani stemming algorithm. There are some weaknesses in stemming from suffixes, and the solution is to perform stemming from the prefix position (Prefix).
Chicken Disease Detection Based on Fases Image Using EfficientNetV2L Model Mustopa, Ali; Sasongko, Agung; Nawawi, Hendri Mahmud; Wildah, Siti Khotimatul; Agustiani, Sarifah
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.2807

Abstract

Livestock farming requires technological innovation to increase productivity and efficiency. Chickens are a livestock animal with good market prospects. However, not all farmers understand about chicken diseases and signs of sickness. Detection of chicken diseases can be done through various methods, one of which is by looking at the shape of the chicken's feces. Images in feces can be detected using machine learning. Convolutional Neural Networks (CNN) are used to speed up disease prediction. Transfer learning is used to leverage knowledge that has been learned by previous models. In this study, we propose our own CNN architecture model and present research by building a new model to detect and classify diseases in chickens through their feces. The model training process is carried out by inputting training data and validation data, the number of epochs, and the created checkpointer object. The hyperparameter tuning stage is carried out to increase the accuracy rate of the model. The research is conducted by testing datasets obtained from the Kaggle repository which has images of coccidiosis, salmonella, Newcastle, and healthy feces. The results of the study show that our proposed model only achieves an accuracy rate of 93%, while the best accuracy rate in the study is achieved by using the EfficientNerV2L model with the RMSProp optimizer, which is 97%.
Pengembangan Sistem Informasi Akademik untuk Meningkatkan Efektivitas Pengelolaan Data pada SMK Mihadunal Ula Agustiani, Sarifah; Pribadi, Denny; Dalis, Sopiyan; Wildah, Siti Khotimatul; Mustopa, Ali
Reputasi: Jurnal Rekayasa Perangkat Lunak Vol. 4 No. 1 (2023): Mei 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/reputasi.v4i1.1992

Abstract

Teknologi informasi memiliki peran penting dalam mendukung efisiensi dan efektivitas pengelolaan data di lembaga pendidikan. SMK Mihadunal Ula, sebagai sekolah menengah kejuruan di Kabupaten Sukabumi, menghadapi tantangan dalam pengelolaan data akademik yang masih dilakukan secara manual. Hal ini menyebabkan berbagai masalah seperti kesalahan data, kesulitan akses informasi, dan keterlambatan dalam pengolahan data. Penelitian ini bertujuan untuk mengembangkan Sistem Informasi Akademik yang dapat meningkatkan efektivitas pengelolaan data pada SMK Mihadunal Ula. Metode pengembangan yang digunakan adalah pengembangan sistem Rapid Application Development (RAD) yang melibatkan proses analisis, desain, implementasi, dan evaluasi. Melalui pengembangan sistem informasi akademik, diharapkan pengelolaan data di SMK Mihadunal Ula dapat lebih terintegrasi, akurat, dan mudah diakses. Sistem ini akan menyediakan fitur-fitur penting seperti pendaftaran siswa, penjadwalan, dan pembayaran yang dapat diakses oleh siswa, guru, dan staf administrasi. Dengan adanya sistem informasi yang handal, diharapkan efisiensi operasional sekolah dapat ditingkatkan, kesalahan manusia dapat diminimalisir, dan pengambilan keputusan dapat lebih baik. Hasil penelitian ini menunjukkan bahwa implementasi Sistem Informasi Akadmik pada SMK Mihadunal Ula memberikan manfaat yang signifikan. Siswa dapat dengan mudah mendaftar, memperoleh informasi jadwal pelajaran, dan melakukan pembayaran secara efisien. Guru dan staf administrasi juga mendapatkan kemudahan dalam pengolahan data dan mengakses informasi yang diperlukan. Selain itu, penggunaan sistem informasi ini diharapkan dapat meningkatkan citra dan reputasi SMK Mihadunal Ula sebagai lembaga pendidikan yang modern dan berkualitas
Pemanfaatan AI dalam Pembuatan Media Pembelajaran untuk Guru Paud (HIMPAUDI) Kabupaten Kubu Raya Maulana, Reza; Firmansyah, Yoki; Lisnawanty; Mustopa, Ali
JURNAL ABDIMAS MADUMA Vol. 4 No. 3 (2025): Oktober, 2025
Publisher : English Lecturers and Teachers Association (ELTA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52622/jam.v4i3.535

Abstract

Di era digital saat ini, anak-anak usia dini semakin terpapar dengan teknologi dan media sosial. Fenomena brain rot yang ditandai dengan konsumsi konten dangkal dan adiktif menjadi isu serius yang mengancam kemampuan berpikir kritis serta kesehatan mental anak. Masalah ini juga dihadapi oleh Himpunan Guru PAUD (HIMPAUDI) Kabupaten Kubu Raya. Keterbatasan penguasaan teknologi, terutama dalam pemanfaatan kecerdasan buatan (AI), menjadi kendala utama para guru PAUD. Sebagai solusi, dilakukan edukasi melalui workshop untuk mengajarkan para guru PAUD dalam pembuatan video pembelajaran yang edukatif dan menarik dengan memanfaatkan teknologi AI. Workshop ini dirancang aplikatif dan kontekstual agar guru dapat langsung mempraktikkan penggunaan AI dalam pembelajaran, serta melibatkan 40 guru PAUD. Untuk mengukur efektivitas kegiatan, digunakan instrumen angket pre-test dan post-test. Hasil survei menunjukkan bahwa semua peserta memiliki pandangan positif terhadap kegiatan ini, dengan 100% dari mereka setuju atau sangat setuju bahwa kegiatan tersebut memberikan pemanfaatan ilmu pengetahuan dan teknologi kepada peserta. Luaran dari kegiatan ini adalah kemampuan guru dalam menghasilkan video pembelajaran berbasis AI. Kata Kunci : Anak Usia Dini; Kecerdasan Buatan; Guru PAUD; Media
PELATIHAN PENINGKATAN KAPASITAS TENAGA PENDIDIK DI BIDANG WEB PROGRAMMING PADA YAYASAN AL MADANI SYARIF ABDURAHMAN PONTIANAK Mustopa, Ali; Nugraha, Wahyu; Saadah, Rabiatus; Dahlia, Rizka
Indonesian Community Service Journal of Computer Science Vol. 1 No. 2 (2024): Periode Juli 2024
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/indocoms.v1i2.3566

Abstract

Internet merupakan kebutuhan vital bagi manusia modern, mendukung hampir semua aktivitas sehari-hari secara efektif dan efisien. Penggunaan internet mencakup berbagai tujuan, termasuk penyampaian informasi melalui situs web, yang menjadi alat promosi ekonomis, efektif, dan efisien. Pendidikan, sebagai landasan utama dalam mempersiapkan generasi muda, harus beradaptasi dengan kemajuan teknologi. Yayasan Al Madani Syarif Abdurahman Pontianak menyadari pentingnya teknologi informasi, khususnya web programming, dalam kurikulum pendidikan modern. Namun, mereka menghadapi beberapa tantangan, seperti kurangnya pengalaman praktis tenaga pendidik dalam web programming dan kurikulum yang mungkin tidak relevan. Dibutuhkan pendekatan pembelajaran yang interaktif, praktis, dan inovatif untuk mengatasi hal ini. Pelatihan yang diberikan kepada tenaga pendidik yayasan bertujuan untuk meningkatkan kemampuan mereka dalam mengajar web programming, mempersiapkan siswa untuk pasar kerja yang semakin bergantung pada teknologi informasi. Program ini juga memberikan kesempatan bagi para pendidik untuk terus memperbarui pengetahuan mereka. Diharapkan, dengan pelatihan ini, Yayasan Al Madani Syarif Abdurahman Pontianak dapat memberikan kontribusi signifikan dalam mempersiapkan generasi muda menghadapi tantangan era digital.
ETIKA PENGGUNAAN AI DALAM DUNIA PENDIDIKAN UNTUK GURU PAUD (HIMPAUDI) KABUPATEN KUBU RAYA Firmansyah, Yoki; Lisnawanty; Mustopa, Ali; Maulana, Reza
Indonesian Community Service Journal of Computer Science Vol. 2 No. 2 (2025): Periode Juli 2025
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/indocoms.v2i2.9605

Abstract

This community service activity aims to improve ethical literacy in the use of Artificial Intelligence (AI) technology in Early Childhood Education (PAUD) environments, particularly in Kubu Raya Regency. Based on observations, PAUD teachers who are members of HIMPAUDI Kubu Raya still face challenges in understanding the principles of ethics, privacy, and security of children's data when using AI-based technology in learning. This program offers gradual training consisting of three levels: basic (introduction to AI and ethics), intermediate (identifying safe and appropriate AI applications), and advanced (responsible AI implementation strategies). The training is complemented by case studies, discussions of ethical issues, mentoring, and facilitation of the development of contextual guidelines based on local values. In addition, a community of practitioners is formed as a collaborative forum for teachers to share experiences and solutions. The activity outputs include increased understanding of AI ethics, the ability to select safe applications, activity documentation, scientific and popular publications, and improved quality of PAUD learning that supports holistic child development. This program is expected to encourage the creation of a culture of ethical and wise use of AI among PAUD educators.
Co-Authors Abdul Hamid Abdul Latif Abdul Latif Abdul Latif Abdulloh, Ferian Fauzi Agung Baitul Hikmah Agung Sasongko Agung Sasongko Agus Junaidi Agustiani, Sarifah Andi Saryoko Antonius Yadi Kuntoro Ari Cahyono Bayu Setiaji Burhan, Faika Dedi Jayanta, Ida Ketut Desyandri Desyandri Devi Wulandari Devi Wulandari Dewanto Yusuf Priyambodo DEWI RAHMAWATI Eri Bayu Pratama, Eri Bayu Fachrurozi, Ahmad Favian Afrheza Fattah Firdaus, Muhammad Rifqi Firmansyah, Herman firmansyah, Yoki Fitriana, Lady Agustin Ganda Wijaya Ganda Wijaya, Ganda Hartono . Hendri Mahmud Nawawi Hermanto Hermanto Ikhsanda, Reza Insan, Siti Rahma JOKO DWI SANTOSO Khultsum, Umi Kukuh, Kukuh Kusnawi Kusnawi Lady Agustin Fitriana Laksono Trisnantoro Lilik Rita Lindayani Lisnawanty Lukman Hakim M. Rangga Ramadhan Saelan Mahmud Nawawi, Hendri Maysaroh, Maysaroh Mochammad Abdul Azis Muhammad Fahmi Julianto Muhammad Iqbal Muhammad Iqbal Muhammad Rezki Muhammad Sony Maulana Mulyatun, Sri Mustika Dewi, Melany Nanik Wuryani Nauvaldhi , Muhammad Sachib Farhan Nawawi, Hendri Mahmud Nuraeni Herlinawati Nuraini Sekarsih, Fitria Pratiwi Retnaningdyah, Pratiwi Pribadi, Denny Pringgondani, Restu Putra, Andriyan Dwi Putro, Miko Kastomo Rabiatus Sa’adah Rahmat Hidayat Raja Sabaruddin Rangga Sanjaya Ravi Manisha Reza Maulana Risdiansyah, Deni Rizka Dahlia Rizky Ade Safitri Robial, Siti Muawanah Rusda Wajhillah, Rusda Sa'adah, Rabiatus Saadah, Rabiatus Saifulloh, Ahmad Iklil Sari, Monika Sekarsih, Fitria Nuraini Seniwati, Erni Setiawanto, Irwan Sholeha, Eka Wahyu Siti Khotimatul Wildah Sopiyan Dalis Steven Suhartono Suharyanto Suharyanto Suharyanto Supriatna, Agus TONNY HIDAYAT Umi Khultsum Wahyu Nugraha Wahyutama Fitri Hidayat Windu Gata Windu Gata Yoseph Tajul Arifin Yudhistira Yudhistira