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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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Journal : Elkom: Jurnal Elektronika dan Komputer

 1 
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 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