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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics PROCEEDING IC-ITECHS 2014 SMATIKA Jurnal Kajian Pembelajaran Matematika JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Digital Zone: Jurnal Teknologi Informasi dan Komunikasi SPIRIT Jurnal Abdimas Mahakam JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Prima Abdika: Jurnal Pengabdian Masyarakat Jurnal Inovasi Teknologi dan Edukasi Teknik Jurnal Informatika: Jurnal Pengembangan IT Jeskovsia (Jurnal Desain Komunikasi Visual Asia) Jurnal ilmiah teknologi informasi Asia
Fadhli Almu’iini Ahda
Institut Teknologi Dan Bisnis Asia Malang
Agriculture, Biological Sciences & Forestry Arts Humanities 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 Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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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
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.
Rancang Bangun Game Kumbang Kum-Oid Berbasis Android Menggunakan Algoritma A* (A Star) Fadhli Almuiini Ahda; Martshena Gema
Jurnal Ilmiah Teknologi Informasi Asia Vol 9 No 2 (2015): Volume 9 Nomor 2 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

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

Abstract

Video game merupakan salah satu media hiburan yang sangat populer untuk semua orang. Teknologi game telah mengalami kemajuan yang sangat pesat. Salah satunya adalah game puzzle yang memberi permainan. Game juga bisa diartikan sebagai arena keputusan dan aksi pemainannya. Permainan berbasis komputer, komputer dirancang dengan menerapkan Artificial intelligence (AI). Algoritma yang digunakan dalam game ini adalah algoritma A*. Dimana A* merupakan perbaikan dari BFS dengan memodifikasi fungsi heuristicnya yang akan meminimumkan total cost lintasan. Dengan konsep perbandingan terhadap fungsi f(n) dari sebuah node dengan menentukan nilai g(n) dan nilai h(n), sehingga komputer dapat memilih langkah terpendek dengan mengambil nilai terkecil dalam setiap state. Sehingga pada kondisi yang tepat algoritma A* akan memberikan solusi terbaik dalam waktu yang optimal. Dari hasil pengujian yang dilakukan game simulasi mampu menemukann jalur dengan rute terpendek. Pencarian jalur akan berhasil menemukan solusi berupa rute terpendek, jika terdapat jalur yang bisa dilalui (ada jalur yang tidak tertutup penghalang) dan akan gagal dalam menemukan solusi jika tidak ada jalur yang bisa dilalui atau semua jalur yang ada tertutup oleh penghalang. Dari pengujian beta yang didapat, disimpulkan bahwa 78% orang menyatakan bahwa game dan simulasi kumbang kum-oid mampu memberi variasi dalam game puzzle, serta 60% orang menyatakan bahwa game dan simulasi kumbang kum-oid menarik untuk dimainkan.
Pemodelan Fuzzy Inference System Tsukamoto Untuk Prediksi Curah Hujan Studi Kasus Kota Batu Ida Wahyuni; Fadhli Almu'iini Ahda
Jurnal Ilmiah Teknologi Informasi Asia Vol 12 No 2 (2018): Volume 12 Nomor 2 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v12i2.260

Abstract

Tidak menentunya pola curah hujan mengakibatkan petani apel menjadi kesulitan dalam menentukan waktu pembungaan yang mengakibatkan hasil panen apel menjadi tidak maksimal. Banyak metode yang digunakan untuk memprediksi curah hujan, salah satunya adalah Fuzzy Inference System (FIS) Tsukamoto. Penelitian terdahulu yang menggunakan metode ini berhasil mendapatkan nilai Root Mean Square Error (RMSE) yang cukup kecil. Pada penelitian ini digunakan metode FIS Tsukamoto untuk membuat pemodelan prediksi curah hujan pada empat lokasi di daerah Batu, Jawa Timur dengan tujuan untuk mendapatkan RMSE yang kecil pula. Metode FIS Tsukamoto digunakan untuk memprediksi curah hujan dengan data time series mulai tahun 2005 sampai tahun 2014. Hasil dari penelitian ini adalah prototipe metode FIS Tsukamoto yang dapat digunakan untuk memprediksi curah hujan dengan nilai error RMSE pada daerah Junggo sebesar 9.196, pada daerah Pujon sebesar 9.407, pada daerah Tinjomulyo sebesar 8.798, pada daerah Ngujung sebesar 8.825.
Sistem Pakar Penentuan Kualitas Garam di Desa Sedayulawas Kabupaten Lamongan Menggunakan Metode Forward Chaining Fadhli Almu'iini Ahda; Gandes Nawang Sari; Lia Farokhah
Jurnal Ilmiah Teknologi Informasi Asia Vol 14 No 1 (2020): Volume 14 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v14i1.447

Abstract

Garam merupakan salah satu kebutuhan yang menjadi pelengkap dari kebutuhan pangan, dan merupakan sumber elektrolit bagi tubuh manusia. Garam banyak dimanfaatkan sebagai bumbu dapur dalam rumah tangga, pembuatan kosmetik, kaca, dan lain sebagainya. Pembuatan garam dilakukan dengan meratakan petak tambak yang sudah diisi air laut dan dengan bantuan sinar matahari air laut ini mengkristal dan menjadi butiran-butiran garam. Proses ini berlangsung rutin pada musim kemarau di daerah (pesisir) penghasil garam, dari bulan Juni hingga bulan November atau mulai turunnya hujan pada awal Desember, yang menjadi permasalahan petani garam adalah bagaimana cara menentukan kualitas garam tersebut. Dalam menentukan kualitas garam, sistem pakar digunakan untuk menentukan kualitas tersebut. Untuk itu metode yang digunakan adalah Forward Chaining. Metode ini dipilih karena mampu menentukan kualitas berdasarkan fakta yang ada yaitu seperti warna garam, rasa garam, dan bentuk garam. Dengan teknik pencarian fakta kemudian mencocokkan fakta tersebut dengan bagian IF, maka rule dieksekusi dan sebuah fakta baru THEN dan diimplementasikan dengan pemrograman berbasis web dan ditambahkan kedalam database MySQL untuk membantu pengolahan data. Setelah melakukan perancangan dan implementasi dari permasalahan, maka pengujian dilakukan dengan menggunakan black box. Pengujian ini untuk membuktikan sistem pakar untuk menentukan kualitas garam sudah sesuai dengan yang diharapkan yaitu mencapai 100%.
Co-Authors Achmad Noercholis Aji Prasetya Wibawa Andika Dwiyanto, Felix Andira, Aysza Belia Auly Andrew Nafalski Danang Sulistyo Didik Dwi Prasetya Djawa, Antonio Eka Wadu Fariz Aulia Rahman Farokhah, Lia Fransiska Sisilia Mukti Gandes Nawang Sari I Nyoman Gede Arya Astawa Ibrohim Ida Wahyuni Ida Wahyuni Lilis Widayanti Lukman Hakim Machrus Tohir Machrus Tohir Mahadwija, Adecya Jalu Martshena Gema Martshena Gema, Martshena Miftachuniam . Moh Ashari Muhammad Rofiq Muhammad Rofiq Philip Faster Eka Adipraja Puji Subekti Rina Dewi Indah Sari Saiful Bahri Setyorini Setyorini Suastika Yulia Riska Sulistyo, Danang Arbian Sulthan Shidqi Sulthan Shidqi Sunu Jatmika Vivi Aida Fitria Wahyu Pratama Wahyuni, Ida Wayan Firdaus Mahmudy