cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Nuris Dwi Setiawan
Contact Email
elkom@stekom.ac.id
Phone
+6285641386859
Journal Mail Official
elkom@stekom.ac.id
Editorial Address
Jalan Majapahit No 605 Semarang
Location
Kota semarang,
Jawa tengah
INDONESIA
Elkom: Jurnal Elektronika dan Komputer
Published by Universitas Sains Dan Teknologi Komputer
ISSN : 19070012     EISSN : 27145417     DOI : https://doi.org/10.51903/elkom.v14i1
Core Subject : Education,
Education
Elkom : Jurnal Elektronika dan Komputer merupakan Jurnal yang diterbitkan oleh SEKOLAH TINGGI ELEKTRONIKA DAN KOMPUTER (STEKOM). Jurnal ini terbit 2 kali dalam setahun yaitu pada bulan Juli dan Desember. Misi dari Jurnal ELKOM adalah untuk menyebarluaskan, mengembangkan dan menfasilitasi hasil penelitian mengenai Ilmu bidang informatika, sebagai media bagi para dosen, guru, peneliti dan para praktisi dalam bidang teknologi informasi dari seluruh Indonesia, dalam melakukan pertukaran informasi tentang hasil-hasil penelitian terbaru yang telah dilakukan.
Arjuna Subject : -
Articles 631 Documents
 37   38   39   40   41 
PENERAPAN APLIKASI SIKS-NG DALAM PENERIMAAN BANTUAN PANGAN NON-TUNAI(BPNT) DIKELURAHAN MAJASARI KECAMATAN PRABUMULIH SELATAN Aini Hutagalung; Eva Mailsari; Niken Rahmanti; Lubi Nugraha
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.v17i1.1531

Abstract

Bantuan Pangan Penting Contoh Program Non Tunai (BPNT) adalah program subsidi pangan sebagai wujud upaya pemerintah meningkatkan ketahanan pangan dan memberikan perlindungan kepada keluarga miskin melalui pendistribusian beras. Setiap keluarga akan menerima Rp. 110.000,-/bulan titik penyalurannya. Peneliti mengambil fokus di Kelurahan Majasari Kecamatan Prabumulih Selatan. Kenyataannya, implementasi kebijakan BPNT tidak selalu mempertimbangkan kebijakan yang full on procedure karena tergantung pada kondisi dan situasi masyarakat. Tujuan penelitian ini adalah menganalisis pelaksanaan program Bantuan Pangan Penting Contoh Non Tunai. Penelitian ini menggunakan metode deskriptif kualitatif. Pengumpulan data dilakukan dengan wawancara mendalam dari berbagai informan yang telah ditentukan. Dalam penelitian kualitatif, data diambil dari berbagai sumber dengan menggunakan teknik pengumpulan data yang beragam (triangulasi) dan terus menerus hingga jenuh. Hasil penelitian ini adalah faktor penentu pelaksanaan program BPNT di Kelurahan Majasari Kecamatan Prabumulih Selatan disebabkan oleh faktor sikap (disposisi) yang kurang berhasil dalam kualitas beras, sasaran rumah tangga penerima bantuan bantuan pangan krusial Contoh Non Tunai (BPNT), jumlah rumah tangga penerima manfaat sasaran beras.
ANALISIS REKAMAN VIDEO CCTV DENGAN TEKNIK ENHANCEMENT MENGGUNAKAN METODE NATIONAL INSTITUTE OF JUSTICE (NIJ) Erick Irawadi Alwi; Siska Anraeni
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.v17i1.1563

Abstract

Crime and criminality are increasing by utilizing electronic and digital devices, such as CCTV (closed circuit television) security devices, smartphones, and other electronic devices that have video features, record and store perpetrator data. CCTV recording files are sometimes unclear, so video forensic software is needed to clarify the object so that it can be used as evidence in court. The method used in this research is the National Institute of Justice (NIJ) method and enhancement techniques to clarify the image frame objects of CCTV video recordings using Amped Five forensic image and video tools. The results of the analysis of the evidence concluded that they had succeeded in identifying the vehicle number plate of the alleged perpetrator by carrying out an enhancement process (improving the quality) of the image object. The enhancement process is carried out by utilizing the optical debluring feature of the amped five forensic video software, in settings by increasing the size from 1 to 2 and increasing the noise value from 0.0100 to 0.6310 so it looks clearer than before.
Lora Communication Flood Disaster Early Warning System Using Line Of Sight Zaenurrohman Zaenurrohman; sumardiono, arif; Erna Alimudin
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.v17i1.1584

Abstract

Indonesia merupakan negara dengan iklim tropis. Salah satu musim di Indonesia adalah musim hujan. Curah hujan yang sangat tinggi dapat menimbulkan bencana banjir di berbagai wilayah Indonesia yang menimbulkan kerugian akhir maupun korban jiwa. Sistem peringatan dini bencana banjir menjadi salah satu solusi agar masyarakat Indonesia dapat mempersiapkan diri sejak dini ketika terjadi bencana. Penelitian sebelumnya telah membuat sistem bencana banjir dengan menggunakan GSM 900, namun permasalahannya ada beberapa lokasi penempatan sistem bencana banjir yang kurang sinyal GSM atau tidak ada sinyal GSM sama sekali. ,. Nilai RSSI terkecil yang diperoleh sebesar -87 dBm dan nilai tertinggi sebesar -128 dBm. Sedangkan pada jarak Non Line of Sight, Lora hanya mampu menjangkau jarak 520 meter dengan nilai RSSI terkecil - 128 dan nilai RSSI terbesar yaitu -147 dBm. Hal ini membuktikan bahwa dibutuhkan banyak node saat menggunakan Lora karena Lora memiliki keterbatasan jarak untuk komunikasi transmisi data
Analisis Sentimen Pada Twitter Terhadap Kualitas Udara Jakarta Menggunakan Metode NBC. Dhani Wahyu Wicaksono; Budi Hartono
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.v17i1.1593

Abstract

According to the Jakarta Air Quality Index (AQI US) 12 July 2023, 200 indicates unhealthy air quality with an index value between 151 and 200. This figure even shows that Jakarta is currently the second most polluted city in Southeast Asia. (CNN Indonesia., 2023). This incident gave rise to responses from the public which were expressed via social media Twitter. From this incident, sentiment analysis was carried out regarding Jakarta's air quality. The amount of data used for this research was 500 tweet data. The results of the positive and negative sentiment analysis show that negative sentiment appears more frequently than positive sentiment with a percentage of 7% positive sentiment and 14% negative sentiment, by using the Rstudio application. This method uses the naïve Bayes classifier. Data division in the dataset with training data 1:499 and test data 1:476. It was found that the results of the Accuracy, Precision, Recall, and F1-Score values were Accuracy 87.50%, Precision 87.50 Recall 93.33%, and F1-Score 82.35%.
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%.
Analisis Sentimen Pada Ulasan Produk Dengan Metode Natural Language Processing (NLP) Rizal Chandra Rivaldi; T.D. Wismarini
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.v17i1.1680

Abstract

n today's digital era, customer reviews play a crucial role in purchasing decisions, but the large volume of reviews makes manual analysis difficult. Thus, a fast and accurate sentiment analysis method using Natural Language Processing (NLP) is needed. This research aims to analyze product reviews for the ZALIKA STORE 88 on Shopee using NLP. It involves preprocessing reviews, applying NLP techniques like tokenization, stemming, and lexical analysis, and automatically classifying sentiments. The analysis of ZALIKA STORE 88's reviews reveals mostly positive sentiments, with some negative and neutral reviews. The sentiment analysis achieved an 87% accuracy rate. This research is intended to help ZALIKA STORE 88 make informed decisions based on customer reviews.
Pengembangan Fitur Chat Pada Website PT. Danatrans Service Logistics R. Mochammad Armand Giri Seno; arief jananto
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.v17i1.1720

Abstract

PT. Danatrans Service Logistics has website-based information media, but the website only displays the services offered and if a customer wants to ask, they have to retype the PT email address. Danatrans Service Logistics will of course take quite a long time, so it will reduce the quality of service provided to customers via the website. This research has succeeded in developing the PT website. Danatrans Service Logistics with chat facilities between customers and the Billing, Customer Service, Document Requirements, Delivery, Emergency Services, Security & Insurance and Shipping Costs sections at PT. Danatrans Service Logistics so that it can improve the quality of customer service. Another feature in this research is chat statistics and chat grouping between admin and PT customers. Danatrans Service Logistics
Implementasi System Usability Scale pada Sistem Informasi Rencana Umum Pengadaan (SIRUP) Lokal Pemerintah Provinsi Jawa Tengah Slamet Riyanto; Yohanes Suhari
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.v17i1.1727

Abstract

Sistem Informasi Rencana Umum Pengadaan (SIRUP) Lokal is a web-based application utilized by the Government of Central Java Province for procurement planning of goods and services. Of course, evaluation is needed to measure the usability level of the SIRUP Lokal and as input for future development purposes. The respondents of this research are active users of SIRUP Lokal, totaling 100 people. This research is quantitative in nature with descriptive analysis. Data collection is done through questionnaires. Data processing and analysis utilize statistical tools, namely SPSS. The results of this research indicate that SIRUP Lokal is perceived to be highly beneficial for users, especially 1) The system’s performance is considered superior, excelent, and well-received by users 2) Users tend to recommend the system to others.
Analisa Data Mining Menggunakan Algoritma Apriori Dan Algoritma Eclat Di PT Astra International BMW Semarang Dimas Bayu Wardana; Sulastri Sulastri
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.v17i1.1759

Abstract

PT Astra International BMW Semarang operates in the automotive sector, focusing on sales, aftersales, and spare parts for BMW cars. The availability of spare parts is crucial for customer satisfaction, as stock shortages can lead to disappointment. Using data from 52,162 spare parts sales transactions from January 2019 to June 2023, the study applies data mining techniques with the a priori and eclat algorithms to identify consumer purchasing patterns and prevent stock shortages. The research aims to provide recommendations for prioritizing spare parts stock. Utilizing the CRISP-DM methodology and R programming, the study found that the highest confidence in purchasing patterns occurs with a combination of three itemsets: if a customer buys an oil filter set (B11.42.8.593.186) and washer cleaner (B83.12.5.A1A.683), they will also buy BMW engine oil (Z99000000333) with 100% confidence. These findings can help PT Astra International BMW Semarang manage spare parts stock more effectively.
Studi Perbandingan Pola Asosiasi Penjualan Sparepart Menggunakan Algoritma Apriori Di PT Astra International BMW Semarang Raka Lintang Aditya; Sulastri Sulastri
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.v17i1.1760

Abstract

All PT Astra International BMW Semarang transactions are recorded in the database but the problem is that the stock management is efficientless so the part stock that buyers are interested is not available. This research aims to conduct a comparative mining results using the association rule with apriori algorithm for year 2021, 2022 and 2023 sales transaction dataset with total of 43.694 records using the Rstudio. Data mining process in each year uses the same parameters for each itemset combination. The best association pattern occurs in 2023 with support value 0.05913841 and confidence value 100%. This can be concluded that the rules formed from each year could be different eventhough using same parameters. The item that always appears in the association rule from 2021 – 2023is Z99000000333 (BMW Engine OIL) which is often purchased with items named “Set fil-oil” so it can be a recommendation for item stocking in the warehouse.

Page 39 of 64 | Total Record : 631

 37   38   39   40   41 

Filter by Year

2007 2025


Reset
Filter By Issues
All Issue Vol. 18 No. 2 (2025): Desember : Jurnal Elektronika dan Komputer Vol. 18 No. 1 (2025): Juli : Jurnal Elektronika dan Komputer Vol. 17 No. 2 (2024): Desember : Jurnal Elektronika dan Komputer Vol 17 No 1 (2024): Juli : Jurnal Elektronika dan Komputer Vol. 17 No. 1 (2024): Juli : Jurnal Elektronika dan Komputer Vol. 16 No. 2 (2023): Desember : Jurnal Elektronika dan Komputer Vol 16 No 2 (2023): Desember : Jurnal Elektronika dan Komputer Vol. 16 No. 1 (2023): Juli : Jurnal Elektronika dan Komputer Vol 16 No 1 (2023): Juli : Jurnal Elektronika dan Komputer Vol 15 No 2 (2022): Desember : Jurnal Elektronika dan Komputer Vol. 15 No. 2 (2022): Desember : Jurnal Elektronika dan Komputer Vol 15 No 1 (2022): Juli : Jurnal Elektronika dan Komputer Vol. 15 No. 1 (2022): Juli : Jurnal Elektronika dan Komputer Vol 14 No 2 (2021): Desember: Jurnal Elektronika dan Komputer Vol 14 No 1 (2021): Juli: Jurnal Elektronika dan Komputer Vol 13 No 2 (2020): Desember: Jurnal Elektronika dan Komputer Vol 13 No 1 (2020): Juli: Jurnal Elektronika dan Komputer Vol 12 No 2 (2019): Desember: Jurnal Elektronika dan Komputer Vol 12, No 1 (2019) Vol 12 No 1 (2019): Juli: Jurnal Elektronika dan Komputer Vol 11 No 2 (2018): Desember: Jurnal Elektronika dan Komputer Vol 11 No 1 (2018): Juli: Jurnal Elektronika dan Komputer Vol 11, No 1 (2018) Vol 10, No 1 (2017) Vol 9, No 1 (2016) Vol 9, No 1 (2016) Vol 8, No 1 (2015) Vol 8, No 1 (2015) Vol 7, No 2 (2014) Vol 7, No 2 (2014) Vol 6, No 2 (2013) Vol 6, No 2 (2013) Vol 5, No 2 (2012) Vol 4, No 1 (2007) More Issue