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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Information Technology and Telematics Dinamik Proceeding Fakultas Ekonomi Techno.Com: Jurnal Teknologi Informasi Jurnal Teknologi dan Manajemen Informatika Elkom: Jurnal Elektronika dan Komputer Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran Proceeding SENDI_U INTECOMS: Journal of Information Technology and Computer Science Jurnal Informasi dan Komputer JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Innovative: Journal Of Social Science Research Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Jati Sasongko Wibowo
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Mathematics Public Health Other

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APLIKASI SPELLING CORRECTING PADA PENULISAN BAHASA INDONESIA DENGAN METODE JARO WINKLER Samudero, Fauzan Risang Agung; Jati Sasongko Wibowo
Elkom : Jurnal Elektronika dan Komputer Vol 17 No 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1445

Abstract

Typing errors in documents are fairly common. The process of checking typing errors manually will take a lot of time. Therefore, a system called Indonesian spelling correcting with Jaro Winkler is needed. Spelling Correcting is a feature that can check and correct word writing errors automatically. Jaro Winkler is an algorithm used for the word correction process by calculating the value obtained from the results of the operation of modifying one word with another word with the help of a matrix. Based on the results of trials on 13 words, namely "Alaman Amus Seperti Pada Gamba Tersebut Digunakan Untuk Memasukkan Data Kata Pada KBBI ", this spelling correcting application can produce 3 correct word corrections to " halaman kamus seperti pada gambar tersebut digunakan untuk data pada kbbi ", each Word improvement is calculated using the Jaro Winkler formula, getting a score above 0.94 for each word tested.
Analisa Sentimen Analisa Sentimen Twitter Terhadap Capres Indonesia 2024 Menggunakan Metode KNN Rizal, Adetya Rizal Permana Putra; Jati Sasongko Wibowo
Elkom : Jurnal Elektronika dan Komputer Vol 17 No 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1603

Abstract

Pada tahun 2024, Indonesia akan menyelenggarakan pemilihan umum serentak yang meliputi pemilihan presiden dan pemilihan wakil rakyat di seluruh Indonesia. Masyarakat menanggapi kejadian ini dengan perasaan campur aduk, membagikan pemikirannya di situs media sosial seperti Twitter. Penelitian analisis sentimen calon presiden Indonesia tahun 2024 dilakukan terkait peristiwa ini. Sebanyak 1458 tweet digunakan dalam penelitian ini. Dengan 40,31% responden menyatakan sikap positif dan 43,46% menyatakan sentimen negatif, temuan analisis menunjukkan keseimbangan antara kedua sentimen tersebut. Menggunakan frasa "calon presiden," program Python di situs web Google Colab mengambil data twitter. Pendekatan K-Nearest Neighbor digunakan dalam proses klasifikasi. Selain itu data latih dibagi 6 : 4. 40% data uji dan 60% data latih. Nilai evaluasi yang diperoleh dari pengujian model dengan teknik K-Nearest Neighbor adalah akurasi sebesar 90,95%, presisi sebesar 62,17%, recall sebesar 62,33%, dan F-Measure sebesar 61,87%.
Sistem Rekomendasi Pencarian Buku Perpustakaan Dengan Algoritma Content Based Filtering Ndaru Hendrayana; Jati Sasongko Wibowo
Elkom : Jurnal Elektronika dan Komputer Vol 17 No 1 (2024): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i1.1927

Abstract

Well-organized and methodical libraries can, either directly or indirectly, facilitate the teaching and learning process in the community in which they are housed. Manual searching takes a long time because libraries typically have a large number of reading books. Without a book search system, libraries will make it harder and take longer for patrons to find books since they will have to look through each book individually on the shelf. It is quite feasible to create an information retrieval system for libraries to make book searches easier. Based on the parameters or keywords entered, the content-based filtering approach of the library book search information retrieval system can present ten recommendations. The Complete Guide to Islam in Kafah has the highest similarity of 0.775 when it comes to the process of looking for books with religious categories and keywords related to Islam.
Sistem Notifikasi Untuk Mengurangi Pembatalan Pesanan Di Karang Furniture Rahmanto, Yogi Nur; Wibowo, Jati Sasongko
Innovative: Journal Of Social Science Research Vol. 5 No. 1 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i1.17734

Abstract

The pre-order (PO)-based furniture industry faces challenges in maintaining effective communication between sellers and buyers, particularly during the production process. This study aims to develop a web-based notification system to enhance communication transparency and reduce the risk of order cancellations. The system is designed using HTML, PHP, and MySQL technologies and manually sends production status notifications via WhatsApp. The implementation of the system at Karang Furniture demonstrates improvements in data management efficiency and buyer communication. System testing using the Black Box Testing method ensures that the features function as required. A 6% reduction in order cancellation rates highlights the positive impact of this system in supporting the PO-based business model.
Analisis Sentimen dan Klasifikasi Tweet Terkait Mutasi COVID-19 menggunakan Metode Naïve Bayes Classifier Dewandaru, Aryo; Wibowo, Jati Sasongko
Jurnal Teknologi dan Manajemen Informatika Vol. 8 No. 1 (2022): Juni 2022
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v8i1.6803

Abstract

Towards the end of 2019 in Wuhan City, China, a new type of Corona Virus was discovered which has the scientific name COVID-19 and is a type of virus that causes acute disorders in the human respiratory system. The spread of this virus is very fast and causes mutations of this virus to a more lethal stage than before. Thus, sentiment analysis is expected to be able to determine the trend of public assessment of the COVID-19 mutation. Naïve Bayes Classifier is a method used in research. This method can classify data or opinions into two sentiments, namely positive and negative. The research data comes from Twitter which is taken using the Twitter API with the keyword "covid mutation", for data processing several processes are carried out, namely sentiment classification, data cleaning, and preprocessing so that the final result is obtained. The test results from this study show that the Naïve Bayes Classifier method has an accuracy of 86.67% with an f1-score of 82.00% on positive sentiment and 89.00% on negative sentiment. Based on the results of the study, it can be concluded that the Naïve Bayes Classifier method can be used to analyze sentiment data from tweets about the COVID-19 mutation with an accuracy of 86.67%.
Pencarian Judul Film Dengan Full-Text Search Menggunakan Elastic Search Kurniawan, Iqbal; Wibowo, Jati Sasongko
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 2 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i2.14584

Abstract

Jumlah katalog film yang disimpan menjadi lebih besar seiring dengan bertambahnya judul yang dirilis setiap tahunnya. Tentu, hal ini menimbulkan tantangan tersendiri untuk mencari data yang cepat dan relevan. Pencarian tradisional dengan menggunakan database relasional, seperti : PostgreSQL sering kali memberikan hasil yang kurang optimal dan membutuhkan waktu yang lebih lama. Oleh karena itu, diperlukan metode pencarian data yang lebih efisien, salah satu nya menggunakan full-text search di elasticsearch. Penelitian ini bertujuan untuk mengimplementasikan full-text search menggunakan elasticsearch di sistem informasi katalog film. Peneliti menggunakan metode dokumentasi untuk mendapatkan data film yang bersumber dari github dan menggunakan metode waterfall untuk pengembangan sistem. Dalam pengujian, menunjukkan rasio pencarian data dengan elasticsearch lebih cepat 1,19 hingga 1,33 kali lebih cepat dibandingkan dengan PostgreSQL dan nilai akurasi pencarian elasticsearch yang dihasilkan dengan menggunakan precission sebanyak 70%, recall sebanyak 100% dan f1 score sebanyak 82%. Dari pengujian tersebut, dapat disimpulkan bahwa implementasi full-text search menggunakan elasticsearch pada sistem informasi katalog film dapat meningkatkan efisiensi dan pengalaman pengguna dalam mencari judul film. Kata Kunci: Full-Text Search, Elasticsearch, Sistem Informasi, Waterfall.
Pengembangan Chatbot Dialogflow Untuk Rekomendasi UMKM Kuliner Kota Semarang Berbasis Natural Language Processing Dynia, Lintang Putri; Wibowo, Jati Sasongko
Techno.Com Vol. 24 No. 2 (2025): Mei 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i2.12372

Abstract

Chatbot berbasis Dialogflow ini dapat membantu mempromosikan UMKM kuliner di Kota Semarang yang belum terekspos secara optimal. Dengan memanfaatkan teknologi Natural Language Processing (NLP), penelitian ini bertujuan merancang chatbot rekomendasi tempat kuliner yang diintegrasikan dengan platform Telegram. Metode pengembangan sistem menggunakan pendekatan model waterfall yang mencakup analisis kebutuhan, perancangan sistem, implementasi, pengujian, serta pemeliharaan. Hasil penelitian menunjukkan bahwa chatbot mampu memberikan rekomendasi sesuai preferensi pengguna, termasuk lokasi, jam operasional, nomor telepon, estimasi harga, tautan google maps, gambar produk dan tempat UMKM dengan akurasi pengujian mencapai 100%. Evaluasi melalui System Usability Scale (SUS) menghasilkan skor rata-rata 85,75 yang mengindikasikan sistem ini mudah digunakan dan memiliki potensi untuk diterapkan secara luas, dimana chatbot ini tidak hanya memudahkan pengunjung menemukan kuliner yang sesuai tetapi juga menjadi media promosi efektif bagi UMKM untuk meningkatkan daya saing serta mendukung pertumbuhan ekonomi lokal.   Kata kunci: Chatbot, Dialogflow, NLP, Waterfall, UMKM Kuliner
SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMA BEASISWA DENGAN METODE NAÏVE BAYES Qori Alfina Pratiwi; Jati Sasongko Wibowo
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.1042

Abstract

Lot of problems arise in selecting scholarship recipients in a large number of submissions, the existence of several searches used, and the selection of files for scholarship applicants is still manual, so a system is needed that can speed up, help, and make it easier in the decision-making process to lighten work. student section. In supporting decisions this system will use the Naïve Bayes Classifier Method to determine what is acceptable and not acceptable. The NBC method can analyze and make improvements to old data, and the resulting data will provide simpler probability values that can later be used to make decisions. From the results of the research that has been carried out, it can be realized that the application of the data mining algorithm using the Naïve Bayes Classifier can be carried out to select scholarship recipients at Stikubank University Semarang. The result of the selection of Unisbank Semarang scholarship recipients is the accuracy value. 72% of the 135 data which is divided into 100 training data and 35 test data.
Aplikasi Media Pembelajaran Menanam Sayuran Hidroponik Berbasis Android Jerrycho Azarea Aditama; Jati Sasongko Wibowo
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.1054

Abstract

Learning Media applications that use an Android-based material delivery system are expected to facilitate the delivery of material, where previously material was only found in books and the internet. Learning materials that only come from books reduce the reader's understanding because there are only text and pictures. This is what underlies the selection of the thesis title "Application of Android-Based Hydroponic Vegetable Growing Learning Media Application" in the hope that it can be a solution to help people who take part in the training understand material about growing vegetables by hydroponics.Hydroponics is an agricultural activity carried out by using water as a medium to replace soil. So, hydroponics can be interpreted as a work or management of water as a medium for plant growth without using soil media as a planting medium and taking the required mineral nutrients from a nutrient solution dissolved in water. The learning media application for growing hydroponic vegetables based on Android is limited to material on hydroponics, planting media and tools used in hydroponics, the steps needed for hydroponic farming, systems or techniques that exist in hydroponics.
Prediksi Harga Mobil Bekas Berdasarkan Tipe Penjual dan Jenis Kendaraan Menggunakan Regresi Linier Daris, Iqbal; Muhammad Iqbal Daris Attaqi; Jati Sasongko Wibowo
Elkom: Jurnal Elektronika dan Komputer Vol. 18 No. 1 (2025): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/dazh6e44

Abstract

The growing demand for affordable transportation has significantly expanded the used car market. This study aims to develop optimal sales strategies by analyzing seller types and vehicle categories through exploratory data analysis and linear regression techniques. Using a cleaned public dataset of over 150,000 used car listings in Germany, key variables such as registration year, mileage, vehicle type, and seller type were examined. Results indicate that individual sellers dominate the market, although dealers set higher and more stable prices. SUVs and limousines typically hold higher market value. The linear regression model achieved an R-squared value of 0.34, suggesting that registration year and mileage account for 34% of the price variance. These findings offer practical insights for stakeholders in the used car business to tailor pricing strategies based on vehicle attributes and seller classification
Co-Authors Agung Kurniawan Brama Arya Di Putra, I Putu Daris, Iqbal Darno, Darno Dewandaru, Aryo Dynia, Lintang Putri Eddy Nurraharjo Eko Nur Wahyudi Hari Murti Herny Februariyanti Herra Profiliana Hersatoto Listiyono Jeffri Alfa Razaq Jerrycho Azarea Aditama Kurniawan, Iqbal Mardi Siswo Utomo Muhammad Iqbal Daris Attaqi Muji Sukur Ndaru Hendrayana Nugroho, Dwi Adi Mulyo Nurul Puspa Dewi Priambodo, Katon Qori Alfina Pratiwi Rahmanto, Yogi Nur Rizal, Adetya Rizal Permana Putra Samudero, Fauzan Risang Agung Setyawan Wibisono Sri Hartati Trisetiyo, Mohamat Dodi Villasari, Sania Wahyu, Angga Sukma Yohanes Suhari Yusuf, Adnan Fauzi Zuly Budiarso Zuly Budiharso