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Perancangan Sistem Informasi Surya Multimedia Berbasis Website Ibrohim Kondhi; Fadhli Almu'iini Ahda; Danang Sulistyo; Vivi Aida Fitria
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 1 No. 11 (2021)
Publisher : Universitas Ngeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.052 KB)

Abstract

Surya Multimedia is a service company that offers rental of multimedia equipment for events, conferences, and seminars such as LED videotrons, LCD projectors, projection screens, LCD/LED TVs and animated content based on concepts created and creative ideas. Depends on the theme of the event to be held. The multimedia solar company has good technical leasing procedures, but still uses a manual system for recording transactions. These records require an online recording system. This overcomes problems such as the difficulty of obtaining certain information related to financial reporting and customer data, which can result in less-than-optimal company performance. The design of a web-based information system in a six-month trial from January to June 2021 resulted in 100% real-time data delivery and the ability to manage customer and transaction data available online. More respondents agree that the information about leasing systems for multimedia solar companies is good. Surya Multimedia adalah perusahaan jasa yang menawarkan penyewaan peralatan multimedia untuk acara, konferensi, dan seminar seperti videotron LED, proyektor LCD, layar proyeksi, TV LCD/LED dan konten animasi berdasarkan konsep yang dibuat dan ide kreatif. Tergantung tema acara yang akan dilaksanakan. Perusahaan surya multimedia memiliki prosedur teknis leasing yang baik, namun masih menggunakan sistem manual untuk pencatatan transaksi. Catatan-catatan ini memerlukan sistem pencatatan online. Hal ini mengatasi masalah seperti sulitnya memperoleh informasi tertentu terkait pelaporan keuangan dan data pelanggan, yang dapat mengakibatkan kinerja perusahaan kurang optimal. Perancangan sistem informasi berbasis web dalam uji coba enam bulan dari Januari hingga Juni 2021 menghasilkan pengiriman data 100% real-time dan kemampuan untuk mengelola data pelanggan dan transaksi yang tersedia secara online. Lebih banyak responden yang setuju bahwa informasi tentang penyewaan sistem untuk perusahaan surya multimedia sudah baik.
Implementasi Metode SCRUM dalam Perancangan Produk Backlog Sistem Cerita Desa Lia Farokhah; Fadhli Almu'iini Ahda; Lilis Widayanti; Vivi Aida Fitria
Jurnal Informatika: Jurnal Pengembangan IT Vol 5, No 1 (2020): JPIT, Januari 2020
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v5i1.1658

Abstract

Abstract  The village is the smallest part of governance. Data from the Central Statistics Agency in 2018, villages have poverty greater than cities. The village has various weaknesses and strengths such as economics, psychology, engineering, skills, capital, successful application of hydroponic agriculture and others. On the other hand, collages have mandatory programs for the entire academic such as society dedication, research and internship programs for students. In the business sector, there are companies that are required to carry out CSR (Corporate social responsibility) to follow regulations in Indonesia. The problem of all actors is the inaccurate target of the distribution of aid in their soft skills and hard skills to bring their contribution to village development. Documentation and classification of problems and strengths in the village need to be mapped. Both of these relationships will be mutually beneficial subjects and objects in a development cycle. This study will examine the importance of the backlog product of the system model that will be developed using the SCRUM method. The results of the level of importance and priority of the backlog product will be used in system development and have an influence in determining the next stage of the Scrum method namely sprint planning meeting, sprint execution and scrum analysis. The results of the college backlog priority analysis are facilities 1,3,4,5,8,2 and 6. On the other hand, the priority order of backlog products for villages / communities is facility 1, 4,2,3,6,7,9, and 8 while Facility 5 is a very undesirable only 36%. The conclusions of the synchronization of two stakeholders based on their respective needs are facility 1, which is about the community's need for assistance from tertiary institutions and the needs of objects by tertiary institutions. Abstrak - Desa merupakan bagian terkecil dalam tata kelola pemerintahan. Data Badan Pusat Statistik tahun 2018, desa memiliki tingkat kemiskinan lebih besar dari kota. Desa memiliki berbagai kekurangan dan kelebihan seperti masalah, perekonomian, psikologi, bidang teknik, skill, permodalan, keberhasilan penerapan pertanian hidroponik dan yang lainnya. Disisi lain, perguruan tinggi memiliki banyak program wajib untuk seluruh civitas akademika dosen seperti pengabdian, penelitian dan program magang atau kuliah kerja nyata (KKN) bagi mahasiswa. Pada bidang bisnis, ada perusahan yang wajib melakukan CSR (Corporate social responsibility) sesuai aturan yang diberlakukan di Indonesia. Permasalahan ketiga aktor tersebut adalah kurang tepatnya sasaran penyaluran bantuan dalam softskill maupun hardskill yang mereka miliki untuk membawa kontribusinya bagi pembangunan desa. Dokumentasi dan klasifikasi permasalahan serta kelebihan yang ada di desa perlu dipetakan. Kedua hubungan ini akan menjadi subjek dan objek yang saling menguntungkan dalam sebuah siklus pembangunan.  Penelitian ini akan menguji tingkat kepentingan produk backlog dari model sistem yang akan dikembangkan menggunakan metode SCRUM. Hasil dari tingkat kepentingan dan prioritas produk backlog akan dipakai dalam pengembangan sistem dan memiliki pengaruh dalam menentukan tahap metode scrum berikutnya yaitu sprint planning  meeting, eksekusi sprint dan analisis scrum. Hasil analisis prioritas backlog perguruan tinggi adalah fasilitas 1,3,4,5,8,2 dan 6. Disisi lain, urutan prioritas produk backlog untuk desa/masyarakat adalah fasilitas 1, 4,2,3,6,7,9, dan 8 sedangkan Fasilitas 5 menjadi fasilitas yang sangat tidak diinginkan karena hanya 36 %. Adapun simpulan singkronisasi dua stakeholder berdasarkan kebutuhan masing-masing adalah adalah fasilitas 1 yaitu tentang kebutuhan masyarakat akan bantuan dari perguruan tinggi dan kebutuhan objek oleh perguruan tinggi. Kata Kunci - Teknologi, Desa, Permasalahan, Solusi, Singkronisasi
Perancangan dan Pembuatan Website Majelis Ulama Indonesia Kota Batu Malang Lia Farokhah; Achmad Noercholis; Fadhli Almu’iini Ahda; Danang Arbian Sulistyo; Muhammad Rofiq
Prima Abdika: Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2024): Volume 4 Nomor 1 Tahun 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar Universitas Flores Ende

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/abdika.v4i1.3746

Abstract

Community service is one of the activities required for lecturers at Institut Teknologi dan Bisnis ASIA Malang every semester. This activity is carried out in groups to distribute knowledge to the community. This activity is in partnership with the Batu City MUI in creating a digital website for distribution of information to the wider community. Problems arise when a partner's website is hacked or damaged by a hacker. The service team wanted to teach how to recover or mitigate after damage, but the technical team could not provide information regarding the website and suggested creating a new website. In the initial stage, this service will create a new website. The method of this service approach is to carry out discussions in group discussion forums (FGD). The results of the discussion were realized in the form of a website for the Batu City MUI. Evaluations were carried out regarding design and functionality requirements. The partners are satisfied but it must be developed further. In ongoing collaboration this website will continue to be developed. After that, training in mitigating data when exposed to hackers will be carried out in the next service.
Comparison of Adam Optimization and RMS prop in Minangkabau-Indonesian Bidirectional Translation with Neural Machine Translation Fadhli Almu'iini Ahda; Aji Prasetya Wibawa; Didik Dwi Prasetya; Danang Arbian Sulistyo
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1818

Abstract

Language is a tool humans use to establish communication. Still, the language used is one language and between regions or nations with their languages. Indonesia is a country that has a diversity of second languages and is the fourth most populous country in the world. It is recorded that Indonesia has nearly 800 regional languages, but research activities in natural language processing are still lacking. Minangkabau is an endangered language spoken by the Minangkabau people in Indonesia's West Sumatra province. According to UNESCO, the Minangkabau language is listed as a language that is "definitely endangered," with only around 5 million speakers worldwide. This study uses neural machine translation (NMT) to create a formula based on this information. Neural machine translation, in contrast to conventional statistical machine translation, intends to build a single neural network that can be built up to achieve the best performance. Because it can simultaneously hold memory for a long time, comprehend complicated relationships in data, and provide information that is very important in determining the outcome of translation, LSTM is one of the most powerful machine-learning techniques for translating languages. The BLUE score is utilized in the NMT evaluation. The test results use 520 Minangkabau sentences, conducting tests based on the number of epochs ranging from 100-1000, resulting in optimization using Adam being better than optimization RMSprop. This is evidenced by the results of the best BLUE-1 score of 0.997816 using 1000 epochs.
LSTM-Based Machine Translation for Madurese-Indonesian Sulistyo, Danang Arbian; Wibawa, Aji Prasetya; Prasetya, Didik Dwi; Ahda, Fadhli Almu'iini
Journal of Applied Data Sciences Vol 4, No 3: SEPTEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i3.113

Abstract

Madurese is one of the regional languages in Indonesia, which dominates East Java and Madura Island in particular. The use of Madurese as a daily language has declined significantly due to a language shift in children and adolescents, some of which are caused by a sense of prestige and difficulty in learning Madurese. The scarcity of research or scientific titles that raises the Madurese language also helps reduce literacy in the language. Our research focuses on creating a translation machine for Madurese to Indonesian to maintain and preserve the existence of the Madurese language so that learning can be done through digital media. This study use the latest dataset for the Madurese-Indonesian language by using a corpus of 30,000 Madura-Indonesian sentence pairs from the online Bible. This study scrapped online Bible pages to organize the corpus based on the Indonesian and Madurese bilingual Bible. Then This study manually process text to match the two languages' scrapping results, normalization, and tokenization to remove non-printable characters and punctuation from the corpus. To perform neural machine translation (NMT), This study connected the RNN encoder with the RNN decoder of the language model, while for training and testing, This study used a sequential model with LSTM, while the BLEU measure was used to assess the accuracy of the translation results. This study used the SoftMax optimization function with Adam Optimizer and added some settings, including using 128 layers in the training process and adding a Dropout layer so that This study got the average evaluation result for BLEU-1 is 0.798068, BLEU-2 is 0.680932, BLEU-3 is 0.623489, and for BLEU-4 is 0.523546 from five tests conducted. Given the language differences between Madurese and Indonesian, this can be the best approach for machine translation of Indonesian to Madurese.
STEMMING IN MADURESE LANGUAGE USING NAZIEF AND ADRIANI ALGORITHM Moh Ashari; Sulistyo, Danang Arbian; Ahda, Fadhli Almu’iini
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2012

Abstract

Madurese is one of the regional languages in Indonesia, which dominates East Java and Madura Island in particular. However, the use of Madurese is declining compared to other regional languages. This is partly due to a sense of prestige and difficulty in learning it. As a result, the future of Madurese as one of the regional languages in Indonesia is increasingly threatened by the decline in its use. In addition, academic literature and scientific publications in Madurese are difficult to find in public and academic libraries, so previous research on Madurese stemming is still very little and needs to be developed further. Therefore, this research aims to find the base word of Madurese language using Nazief & Adriani algorithm based on Madurese language morphology. The Nazief & Adriani method in previous studies has good performance. Stemming can also be developed into a Madurese language translator application into other languages. This research uses 650 words in the form of datasets, consisting of 500 prefix words and 150 suffix words. The resulting accuracy for the whole is 96.61% with 628 correct words, the prefix has 95.6% accuracy, and the suffix has 100% accuracy. Overstemming was found in 22 prefix words and no words experienced Understemming.
Design of an Academic Services Chatbot at Asia Institute Malang Djawa, Antonio Eka Wadu; Ahda, Fadhli Almu'iini
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1642

Abstract

This study successfully developed and evaluated an academic services chatbot utilizing Natural Language Processing (NLP) and Artificial Neural Networks (ANN), showcasing a comprehensive methodology that encompassed data collection, preprocessing, model training, and performance evaluation. We meticulously derived the dataset from frequently asked questions at the Asia Institute of Technology and Business Malang, ensuring its relevance and applicability to the target audience. Rigorous preprocessing techniques, including tokenization, stemming, and stop words removal, were employed to enhance the quality of the input data for the ANN model, which significantly improved its performance. The training results revealed a strong correlation between the number of training epochs and the accuracy of the chatbot's responses, indicating that increased training led to enhanced performance. Furthermore, a Cronbach's Alpha coefficient of 0.965 confirmed the validity and reliability of the measurement tool for user feedback, highlighting the robustness of the collected data. User testing involving 37 students indicated a high level of satisfaction with the chatbot's performance, as it achieved a perfect accuracy score of 100%. These findings highlight the potential of NLP-based chatbots to enhance academic information services, effectively addressing student inquiries while significantly reducing the workload on academic staff. This study serves as a valuable model for other educational institutions aiming to implement AI-powered solutions to improve their academic support services and overall student experience.
Telegram FAQ Chatbot Design for Budi Mulia Lawang Junior High School Mahadwija, Adecya Jalu; Ahda, Fadhli Almu’iini
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1643

Abstract

This study effectively created and assessed an academic services chatbot that employs Natural Language Processing (NLP) and Artificial Neural Networks (ANN). It demonstrates a thorough methodology that includes data collection, preprocessing, model training, and performance evaluation. The dataset was meticulously derived from frequently asked questions at the Institute of Business and Technology Asia Malang, ensuring its relevance and applicability to the target audience. Thorough preprocessing methods, such as tokenization, stemming, and the removal of stop words, were utilized to elevate the quality of the input data for the ANN model, leading to a notable enhancement in its performance. The training outcomes demonstrated a significant relationship between the number of training epochs and the accuracy of the chatbot's responses, suggesting that more extensive training resulted in improved performance. Additionally, the measurement tool employed for user feedback demonstrated confirmed validity and reliability, evidenced by a Cronbach's Alpha coefficient of 0.965, highlighting the strength of the data gathered. A study conducted with 37 students revealed a significant level of satisfaction regarding the chatbot's performance, which attained an impeccable accuracy score of 100%. The results underscore the promise of chatbots powered by natural language processing to improve academic information services, efficiently responding to student questions and markedly alleviating the burden on academic personnel. This study provides a significant framework for educational institutions looking to adopt AI-driven solutions to enhance their academic support services and enrich the student experience.
Perancangan Infografis Songket Lombok Fadhli Almu’iini Ahda; Fariz Aulia Rahman
Jurnal Desain Komunikasi Visual Asia Vol 1 No 1 (2017): Volume 1 Nomor 1 (5)
Publisher : Lembaga Penelitian Pengembangan dan Pengabdian Kepada Masyarakat STMIK Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jeskovsia.v1i1.307

Abstract

Lombok Island not only has a stunning natural beauty, Lombok Island also has a special woven cloth area called the songket Lombok. However, there are still many people who do not know the existence of Lombok songket especially the people outside the island of Lombok. But as the development of technology now, information in the form of animated video muchin demand by thepublic because it looks more interesting. There fore information of Lombok songket clothin the form of info graphic video is needed. Infog raphics is a medium thatis used to inform about the beauty of Lombok songket cloth, by using this infographic information will look interesting and easy to understand. The observations were conducted directly in the songket craftsmen in Sukerare and Sade villages. Conducting interviews directly to the craft smanalso playsan important role to know what data are needed. The design of this infographic animation videousing motion graphic technique. This infographic design aims to provide information about Lombok songket clothtolocal and foreign tourists. The design of the concept takes the theme of infographics. This infographic uses images, photos, backsound and also text as support. This animated video was designed using Adobe Illustrator CS6 application to sketch into digital form, Adobe After Effect CS6 to create animated movement, Adobe Audition CS6 to give dubbing. Results from the testto 33 respondents as sampleswere 77. 5%.
Aplikasi Penentuan Jenis Penyakit yang Memungkinkan Bisa Diterapi Dengan Bawang Merah Dengan Menggunakan Metode NAÏVE BAYES Fadhli Almu'iini Ahda; Miftachuniam .
Jurnal Ilmiah Teknologi Informasi Asia Vol 9 No 1 (2015): Volume 9 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

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

Abstract

Saat ini terapi pengobatan dengan menggunakan tanaman semakin berkembang, baik jenis buah-buahan, sayur-sayuran atau rempah-rempah.Salah satu tanaman yang bisa dimanfaatkan sebagai terapi pengobatan jenis penyakit adalah bawang merah, beberapa penelitian memaparkan bahwa bawang merah mengandung vitamin B1, amino, kalori, kalium, dan fosfor.Salah satu manfaat bawang merah bisa digunakan untuk terapi pengobatan jenis penyakit lambung. Dalam penelitian ini metode naïve bayes berfungsi untuk menghitung probabilitas gejala-gejala penyakit dan kandungan zat/gizi bawang merah yang sudah diklasifikasikan didalam database. Dengan adanya aplikasi ini, diharapkan dapat membantu memberikan solusi kepada user dengan bentuk visual. Maka dari itu, aplikasi ini menghasilkan jumlah prosentase kemungkinan kandungan zat/gizi bawang merah yang memenuhi kebutuhan dalam penyembuhan jenis penyakit, informasi manfaat bawang merah, dan anjuran mengkonsumsi bawang merah.