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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Techno.Com: Jurnal Teknologi Informasi MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Bulletin of Electrical Engineering and Informatics DINAMIKA DOTCOM Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications Jurnal Edukasi dan Penelitian Informatika (JEPIN) Proceeding SENDI_U PROCEEDING IC-ITECHS 2014 JOIV : International Journal on Informatics Visualization Jurnal Aplikasi Teknologi Pangan International Conferences SDGs 2030 Challenges and Solutions Communications in Science and Technology Dinamisia: Jurnal Pengabdian Kepada Masyarakat JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Sinergitas PkM & CSR JURNAL PENDIDIKAN TAMBUSAI ENGLISH JOURNAL International Journal of Community Service Learning WIDYA LAKSANA RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Journal of Information System, Applied, Management, Accounting and Research Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat English Journal Journal of Innovation in Educational and Cultural Research Jurnal Jaringan Telekomunikasi Jurnal Pengabdian Polinema Kepada Masyarakat Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi Indonesian Journal Of Educational Research and Review TRANSFORMATIONAL LANGUAGE, LITERATURE, AND TECHNOLOGY OVERVIEW IN LEARNING (TRANSTOOL) Journal of Scientific Research, Education, and Technology Jurnal ELTEK Prosiding Seminar Nasional Pengabdian Masyarakat JPM Pambudi Jurnal Pengabdian Kepada Masyarakat Jurnal Linguistik Terapan
Moechammad Sarosa
Politeknik Negeri Malang
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Implementasi Algoritma You Only Look Once (YOLO) untuk Deteksi Korban Bencana Alam Sarosa, Moechammad; Muna, Nailul
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 4: Agustus 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021844407

Abstract

Bencana alam merupakan suatu peristiwa yang dapat menyebabkan kerusakan dan menciptakan kekacuan. Bangunan yang runtuh dapat menyebabkan cidera dan kematian pada korban. Lokasi dan waktu kejadian bencana alam yang tidak dapat diprediksi oleh manusia berpotensi memakan korban yang tidak sedikit. Oleh karena itu, untuk mengurangi korban yang banyak, setelah kejadian bencana alam, pertama yang harus dilakukan yaitu menemukan dan menyelamatkan korban yang terjebak. Penanganan evakuasi yang cepat harus dilakukan tim SAR untuk membantu korban. Namun pada kenyataannya, tim SAR mengalami kendala selama proses evakuasi korban. Mulai dari sulitnya medan yang dijangkau hingga terbatasnya peralatan yang dibutuhkan. Pada penelitian ini sistem diimplementasikan untuk deteksi korban bencana alam yang bertujuan untuk membantu mengembangkan peralatan tim SAR untuk menemukan korban bencana alam yang berbasis pengolahan citra. Algoritma yang digunakan untuk mendeteksi ada atau tidaknya korban pada gambar adalah You Only Look Once (YOLO). Terdapat dua macam algoritma YOLO yang diimplementasikan pada sistem yaitu YOLOv3 dan YOLOv3 Tiny. Dari hasil pengujian yang telah dilakukan didapatkan F1 Score mencapai 95.3% saat menggunakan YOLOv3 dengan menggunakan 100 data latih dan 100 data uji. Abstract Natural disasters are events that can cause damage and create havoc. Buildings that collapse and can cause injury and death to victims. Humans can not predict the location and timing of natural disasters. After the natural disaster, the first thing to do is find and save trapped victims. The handling of rapid evacuation must be done by the SAR team to help victims to reduce the amount of loss due to natural disasters. But in reality, the process of evacuating victims of natural disasters is still a lot of obstacles experienced by the SAR team. It was starting from the difficulty of the terrain that is reached to the limited equipment needed. In this study, a natural disaster victim detection system was designed using image processing that aims to help find victims in difficult or vulnerable locations when directly reached by humans. In this study, a detection system for victims of natural disasters was implemented which aims to help develop equipment for the SAR team to find victims of natural disasters based on image processing. The algorithm used is You Only Look Once (YOLO). In this study, two types of YOLO algorithms were compared, namely YOLOv3 and YOLOv3 Tiny. From the test results that have been obtained, the F1 Score reaches 95.3% when using YOLOv3 with 100 training data and 100 test data.
Assessment of Post-Disaster Building Damage Levels Using Back-Propagation Neural Network Prediction Techniques Wibowo Almais, Agung Teguh; Fajrin, Rahma Annisa; Naba, Agus; Sarosa, Moechammad; Juhari, Juhari; Susilo, Adi
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2711

Abstract

Indonesia is susceptible to natural disasters, with its geographical location being one of the contributing factors. To mitigate the harmful effects of natural catastrophes, a disaster emergency response must be undertaken, consisting of steps taken immediately following the event. These operations include rescuing and evacuating victims and property, addressing basic needs, providing protection, and restoring buildings and infrastructure. Accurate data is required for adequate recovery after a disaster. The Badan Penanggulangan Bencana Daerah (BPBD) oversaw disaster relief efforts, but faulty damage assessments slowed restoration. Surveyor subjectivity and differing criteria result in discrepancies between reported damage and reality, generating issues during the post-disaster reconstruction. The objective of this study is to develop a prediction system to measure the extent of damage caused by natural disasters to buildings. The five criteria that decide the level of building damage after a disaster are building conditions, building structure condition, physical condition of severely damaged buildings, building function, and other supporting conditions. The data used are from the BPBD of Malang city from 2019 to 2023. This system would allow surveyors to make speedy and objective evaluations. Five different models were tested using the Neural Network Backpropagation approach. Model A2 produces the highest accuracy of 93.81%. A2 uses a 40-38-36-34 hidden layer pattern, 1000 epochs, and a learning rate 0.1. These findings can lay the groundwork for advanced prediction models in post-disaster building damage evaluation research.
Developing Bilingual Website for Jeel Flo and Nanda Salad Bakery MSMEs to Support the Marketplace Reach Nawaluddin, Shafa Yasmin; Hoesny, Mariana Ulfah
Jurnal Pendidikan Tambusai Vol. 9 No. 3 (2025): Desember
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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Abstract

Jeel Flo adalah UMKM kerajinan tangan yang memproduksi buket balon, buket kawat, dan buket artifisial. Sementara itu, Nanda Salad Bakery adalah UMKM kuliner dengan menu-menu terlaris seperti salad buah, puding, brownies mini fudgy, dan glasir donat. Selain keempat produk tersebut, Nanda Salad Bakery juga menjual berbagai macam roti dan minuman. Dalam penelitian ini, peneliti menerapkan model ADDIE dari Richey dan Klein (2014) dengan langkah-langkah sebagai berikut: Analisis, Desain, Pengembangan, Implementasi, dan Evaluasi. Selama proses analisis, peneliti melakukan observasi langsung dan daring, dilanjutkan dengan wawancara dengan pemilik Jeel Flo dan Nanda Salad & Bakery. Setelah analisis selesai, peneliti mulai merancang beranda dan konten situs web untuk kedua UMKM tersebut sebagai dasar pengembangan situs web bilingual.
AI Writing Tools to Improve Paraphrasing Skills: A Systematic Literature Review From 2021 to 2025 Budianto, Aris; Hoesny, Mariana Ulfah; Saavedra, Analyn D.
Journal of Innovation in Educational and Cultural Research Vol 7, No 1 (2026): Article in Press
Publisher : Yayasan Keluarga Guru Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46843/jiecr.v7i1.2348

Abstract

The emergence of AI writing tools —knowledgeable writing assistants —is very helpful for students in improving their writing skills. However, no reviews or studies discussed using AI writing software to support students' paraphrasing skills. This systematic literature review (SLR) explores the applications of AI writing tools for improving paraphrasing skills, the aspects that can be improved, and the weaknesses to anticipate when using intelligent writing assistants. This study uses a Systematic Literature Review (SLR) that reviewed primary studies from journals indexed by Scopus, Elsevier, and ProQuest between 2021 and 2025. One thousand four hundred ninety-seven raw articles were found in the search. Thirty-three articles were removed due to duplication. Verification of titles and abstracts resulted in 98 articles. The final step was full-text screening. The final screening results determined 22 articles that met the criteria. The review's findings explain the strengths and weaknesses of each AI used for paraphrasing. The findings also provide suggestions for further research in improving paraphrasing skills.
Internet of things-based fuzzy controller for automatic irrigation and NPK nutrient monitoring of grapes Sarosa, Moechammad; Wirayoga, Septriandi; Kusumawardani, Mila; Firmanda Al Riza, Dimas; Mulyani Azis, Yunia
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.9715

Abstract

Grape cultivation has gained increasing attention due to its short growing period and the high market value of its sweet, refreshing fruits. However, achieving optimal growth requires precise environmental and nutrient management, which can be challenging under conventional farming practices. This research aims to develop an automatic watering system that integrates soil moisture and nutrient monitoring to optimize grape cultivation. The system utilizes Nitrogen Phosphorus Potassium (NPK) sensors, soil moisture sensors, and a camera for growth observation, all connected through the internet of things (IoT) for remote monitoring via Android devices. A fuzzy logic controller is implemented to regulate watering duration based on environmental conditions such as temperature and humidity. Experimental results show that the system effectively adjusts watering duration to approximately six seconds when the temperature is between 25–32 °C and humidity is around 60%. The DS18B20 temperature sensor achieved an average error rate of only 0.12%, while the humidity sensor demonstrated 0.2% error, indicating high accuracy levels of 99.8%. Despite minor limitations related to internet stability and sensor calibration, the system demonstrates strong potential for commercial-scale smart farming applications, promoting resource-efficient and data-driven grape cultivation.
Digital photograph dalam pengajaran BIPA di Polandia Hilda Cahyani; Mariana Ulfah Hoesny
Jurnal Linguistik Terapan JLT Volume 9 No 1, 2019
Publisher : UPT P2M Politeknik Negeri Malang

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Abstract

Artikel ini mendeskripsikan penggunaan digital photograph dalam pengajaran Bahasa Indonesia tingkat menengah di Polandia. Dengan menggunakan foto digital yang memediasi antar budaya (diadopsi dari Kusumaningputri dan Widodo) kegiatan ini meliputi fase (1) mengumpulkan digital yang sarat budaya foto, (2) mengamati foto yang dipilih, (3) mendeskripsikan teks visual ini, (4) membandingkan dan membandingkan teks fotografi, dan (5) mengevaluasi informasi / data yang berkaitan dengan foto-foto yang dipilih yang menggambarkan realitas sosiokultural. kegiatan ini membutuhkan persiapan yang cukup matang dan serius bagi pemelajar bahasa, khususnya untuk mengumpulkan informasi, mencari gambar (memilih dan memilah gambar yang sesuai dengan topik), kemudian menginterpretasi gambar dan menceritakannya di kelas. Melalui fase yang panjang ini mahasiswa membutuhkan alokasi waktu yang cukup banyak yang harus mereka investasikan dalam proses pembelajaran. Persepsi mahasiswa menggambarkan refleksi positif terhadap penggunaan foto digital untuk pembelajaran BIPA. Pemelajar Bahasa Indonesia memiliki motivasi yang tinggi dalam belajar dikarenakan melampaui fase pembelajaran mandiri dan aktif pada saat mereka di kelas. Hal ini mendukung perkembangan bahasa mereka secara terarah dan baik.
From syllabus design to curriculum development Mariana Ulfah Hoesny
Jurnal Linguistik Terapan JLT Volume 3 No 1, 2013
Publisher : UPT P2M Politeknik Negeri Malang

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

Abstract

Syllabus and curriculum are known as two aspects of instructional activities. Syllabus is can be defined as an outline and summary of topics that has to be covered in an education or training course. The syllabus sets the onward responsibilities of teacher to the students. Teachers can develop syllabus based on the curriculum. Curriculum itself is a broad notion covering the whole body of knowledge the students shall acquire in the school and general description of the teaching program. In short, curriculum is the general statement about the teaching program and syllabus is the about what actually happens in the classroom. Further, this article also presents kinds, components and functions of syllabus and how curriculum is developed. It also discusses about some problems encountered in the implementation of syllabus and curriculum.
An Analysis of Persuasive Techniques in Airbnb and Booking.com Video Commercials Reista Fatikah Maldhani; Mariana Ulfah Hoesny
Jurnal Linguistik Terapan JLT Volume 14 No 2, 2024
Publisher : UPT P2M Politeknik Negeri Malang

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Abstract

Language is a fundamental tool for human communication and is widely applied across various fields, including advertising, where it serves to inform and persuade audiences about products or services. This study focuses on the use of persuasive techniques—both verbal and non-verbal—in video advertisements, specifically analyzing 20 commercials from Airbnb and Booking.com, two leading online travel agencies with different approaches to targeting audiences. Using a qualitative method and theories from Lamb for verbal and Adler & Rodman for non-verbal techniques, the researcher identified 22 verbal strategies—such as inclusive language, anecdote, and emotive language—with inclusive language being the most dominant, and five non-verbal techniques—like posture, gesture, and facial expression—with posture and gesture being most frequently used.
An Analysis of Linguistic Features Used in Business News of BBC and The Guardian Website Alda Rizky Nur Afida Abdullah; Mariana Ulfah Hoesny; Nugrahaningtyas Fatma Anyassari
Jurnal Linguistik Terapan JLT Volume 15 No 2, 2025
Publisher : UPT P2M Politeknik Negeri Malang

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Abstract

This research analyzed and classified linguistic features found in 16 business news from BBC and The Guardian in January 2024 edition. The business news consist of 300 words approximately. Adapting qualitative method and descriptive analysis to collect the data, the research adopted David Crystal’s theory, which specifically divided linguistic features into five categories, namely lexical, grammatical, discourse, orthographic, and graphic features. The findings of this research mentioned that there are 4 linguistic features identified: lexical, grammatical, discourse, and orthographic. Moreover, the linguistic features mostly found is grammatical features in branch of conjunctions, which have crucial role in establishing coherence and clarity in news writing to make communication effectively. Adopting a case study approach, this research provides the insight and understanding how linguistic features influence the context of business news.
Co-Authors A. Mifta Haerat A. S. Ahmad A. S. Noer AA Sudharmawan, AA Abdul Muqit Achmad Sjaifullah Adhisuwignjo, Supriatna Adi Susilo Agung Teguh Wibowo Almais Agus Naba Aisah Aisah Aisah Aisah Aji Seto Arifianto Akhlis Rizza, Muhammad Alda Rizky Nur Afida Abdullah Aly Imron Amalia Eka Rakhmania Amalia Eka Rakhmania Amanda, Tiara Estu Aris Budianto, Aris Atiqah Nurul Asri Ayatullah, Mohamad Dimyati Ayu Sulasari Azhima, Silmi Ath Thahirah Al B. Riyanto Begum Nabiila Betari , Asa Wisesa Bima Eka Samudra Cahyani, Hilda Calvin Andika Pratama D.J. Djoko H. Santjojo Dede Ropik Yunus Dedy Harto Devi Khanthi Dwi Bhakti Dewi Purwati Dimas Firmanda Al Riza Dimas Firmanda Al Riza Dimas Wahyu Wibowo Dodit Suprianto Eka Adhitya Dharmawan Ekananda Sulistyo Putra Elta Sonalitha Erni Yudaningtyas Fahmi, Ichsan Faisal Rahutomo Fajrin, Rahma Annisa Fengky Adie Perdana, Fengky Adie Fredy Windana Ghiaska Nabilah Witka Hadi Suyono Hadiwiyatno Hadiwiyatno Hapsari, Ratih Indri Hariyadi, Aad Harsanti, Winda Hayatun Nufus Henny Purwaningsih Herman Tolle Hilmy Bahy Hakim Hudiono Hudiono Isa Mahfudi Juanda, Enjang Akmad Juhari Juhari, Juhari Kristina Widjayanti, Kristina Kusumawardani, Mila Lestari, Pritantina Yuni Lia Agustina Lis Diana Mustafa M. Aziz Muslim M. Nanak Zakaria, M. Nanak Ma'rifah, Puteri Nurul Mariya Al Qibtiya Mentari Tika Putri Ningrum Mila Kusumawardhani Mochammad Junus Mochammad Taufik Moh. Abdullah Anshori Muh Bambang Purwanto Muhammad Aziz Muslim Muhammad Ridwan Mujib Ridwan Mulyani Azis, Yunia Muna, Nailul Nadia Hanayeen Nailul Muna Nawaluddin, Shafa Yasmin Nila Alia Nouval , Alvin Noviatus Solekhah, Noviatus Nugrahaningtyas Fatma Anyassari Nurafni Eltivia Nuraini, Salsabila Andhika Nurdin, Muhammad Nurdin Rosyidi Nurul Fahmi Arief Hakim Nurul Hidayati Nurul Hidayati Onny Setyawati Paulus Lucky Tirma Irawan Peruzzi, Erico Purnomo Budi Santoso Purnomo Budi Santoso Putri Elfa Mas'udia Putri Elfa Mas'udia Putri Elfa Mas’udia Putri Elfa Masudia Putri Elfa Mas`udia Putri Elfa Mas’udia Putri Elfa Mas’udia Putri Elfa Mas’udia Putri, Fidia Sabilla Rachmad Saptono Ratna Ika Putri Reista Fatikah Maldhani Ribka Inestya Simanungkalit Roisatin, Umi Anis Romadlon, Shofiyul Irchami Rr Rachmawati Rr Rachmawati Rulianah, Sri Saavedra, Analyn D. Safitri, Isnaini Nur Sahriar Hamza Sakinah, Yanik Lailinas Sapto Wibowo Saputra, Dede Irawan Sari, Zamah Sari, Zamah Selviana, Vuvut Septarina, Amalia Agung Septriandi Wirayoga Setiawan, Ardian Wahyu Sri Widoretno Stania, Ummi Rizki Alfi Sugeng Hariyanto Suhari Suhari Suhari, Suhari Suprapto Suprapto Sussy Susanti Suyono, Achmad Suyono, Hadi Syani, Syafika Shalshabilla Tridon Yang Astami Umi Anis Roisatin Usman Zulhijah Muhamma6 Wahyu Bambang Try Atmaja Waluyo Waluyo Waluyo Waluyo Waluyo Widjajanti, Kristina Wijaya, Mokhamad Hadi Wijayanti, Rieke Adriati Winendra, RR Sekar Ayu Devi Wirayoga, Septriandi Wiyono Wiyono Yani Ratnawati Yulianto Yulianto Yunia Mulyani Azis Yunia Mulyani Azis Zamah Sari Zamah Sari