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All Journal Information Technology and Telematics Dinamik Proceeding Fakultas Ekonomi Publikasi Eksternal Elkom: Jurnal Elektronika dan Komputer Rekayasa: Jurnal Penerapan Teknologi dan Pembelajaran Proceeding SENDI_U Informatics for Educators and Professional : Journal of Informatics JURNAL ILMIAH INFORMATIKA Jurnal Teknoinfo Jurnal Teknik Informatika UNIKA Santo Thomas INTECOMS: Journal of Information Technology and Computer Science JurTI (JURNAL TEKNOLOGI INFORMASI) JUTIM (Jurnal Teknik Informatika Musirawas) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Tekno Kompak Jurnal Ilmiah Padma Sri Kreshna JURNAL MAHAJANA INFORMASI Jurnal Teknologi Informasi dan Multimedia Jurnal Manajemen Informatika dan Sistem Informasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) BERNAS: Jurnal Pengabdian Kepada Masyarakat Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Setyawan Wibisono
Universitas Stikubank, Semarang
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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SPK Pemilihan Pestisida Tanaman Bawang Merah Dengan Metode WASPAS zunaidi, edi; Setyawan Wibisono
Elkom: Jurnal Elektronika dan Komputer Vol. 15 No. 1 (2022): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i1.638

Abstract

Farmers often have difficulty in choosing the pesticides to use. Where pesticide products are very widely circulated in the market and offer various advantages of each product, but farmers often experience incompatibility with what has been offered by each product. The inappropriate use of pesticides on shallots used by farmers can affect the yield of shallots. The WASPAS assessment criteria in the selection of pesticides on shallots consisted of price criteria weighing 40%, size criteria weighing 10%, area criteria weighing 30% and expiration criteria weighing 20%. The results of the recommendation for the selection of pesticides on shallots were obtained from the highest Q_i value. Of all the pesticides on shallot plants above, the highest Q_i value is Agrithane with a Q_i value of 0.897. Agrithane has the highest value because it has the lowest price where the price criterion has the highest percentage weight.
Implementasi Metode COPRAS Dalam Pemilihan Sepeda Motor Aris Munandar, Muhammad; Setyawan Wibisono
Elkom: Jurnal Elektronika dan Komputer Vol. 15 No. 1 (2022): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i1.640

Abstract

Interest in buying a motorcycle is certainly caused by various criteria, from the criteria of brand, model, type, price, engine capacity, transmission, braking, year of manufacture and fuel consumption. Of the many criteria, of course, makes buyers get a variety of choices according to their wishes. However, in practice, there are difficulties in determining the criteria in the selection of motorcycles because many consumers do not understand the criteria for motorcycles. The weight of the assessment criteria for the COPRAS method for choosing motorcycles are namely price criteria weighing 40%, fuel consumption weighing 30%, engine capacity weighing 20% ​​and year of manufacture weighing 20%. The recommendation results from the selection of criteria for the Honda brand, type of scooter, automatic transmission and single disc braking, the recommendation results obtained are Beat Street with a value of 1,000, Genio with a value of 0.995, Scoopy with a value of 0.929, Vario 150 with a value of 0.866, PCX with a value of 0.812 and ADV with a value of value 0.796.
SPK Pemilihan Perguruan Tinggi Komputer Kota Semarang Dengan Metode WASPAS Edwin Setiawan; Setyawan Wibisono
Elkom: Jurnal Elektronika dan Komputer Vol. 15 No. 1 (2022): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i1.793

Abstract

Di kota Semarang terdapat beberapa perguruan tinggi jurusan komputer yang sangat kompetitif dalam menghasilkan lulusan yang berkualitas. Dengan banyaknya universitas yang ada, sebagian besar lulusan SMA dan SMK harus pandai menentukan universitas yang baik untuk masa depan mereka. Kriteria penilaian meliputi akreditasi, jumlah mahasiswa, jumlah dosen, biaya kuliah, biaya SPI dan jumlah jurusan. Hasil rekomendasi pemilihan perguruan tinggi bidang komputer di kota Semarang didapatkan dari nilai yang paling tinggi. Dari seluruh Perguruan Tinggi bidang komputer yang ada di kota Semarang diatas, nilai Q_i tertinggi adalah UDINUS dengan nilai sebesar 0,955. 3. UDINUS memiliki nilai tertinggi karena memiliki akreditasi tertinggi dimana kriteria akreditasi memiliki bobot persentase tertinggi. Kombinasi keunggulan dalam akreditasi dan keunggulan dalam bobot memberikan UDINUS skor tinggi.
CBR-AHP Penanganan Gangguan Indihome Dengan Algoritma Sorensen Moch Mustofa; Setyawan Wibisono
Elkom: Jurnal Elektronika dan Komputer Vol. 15 No. 1 (2022): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i1.794

Abstract

Mengingat pelanggan Indihome yang terus meningkat setiap tahunnya, tidak menutup kemungkinan ada dampak di balik itu semua, salah satunya adalah gangguan terhadap layanan Indihome. Banyaknya gangguan yang terkadang harus melibatkan teknisi dari divisi yang berbeda untuk menangani gangguan tersebut menyebabkan keterlambatan dalam pekerjaannya sendiri. Penelitian ini hanya membahas penanganan kerusakan pada pelanggan Indihome dan solusi permasalahan pelanggan Indihome dengan mengkonsultasikan sistem untuk mencari solusi. Representasi pengetahuan yang digunakan adalah case-based reasoning dengan metode AHP dan algoritma similarity Sorensen. Hasil konsultasi penanganan gangguan pelanggan Indihome didapatkan dari nilai similarity terbesar Sorensen. Dari semua defect yang ditemukan, nilai similarity Sorensen tertinggi adalah STB UseeTv yang rusak dengan nilai similarity 0,736. STB UseeTv rusak memiliki nilai paling tinggi karena memiliki bobot gejala berat yang besar dimana kriteria gejala berat memiliki persentase bobot paling tinggi.
Sistem Pendukung Keputusan Pemberian BLT Desa Sidaharja Dengan Metode WASPAS Sahrul Ade Amanatulloh; Setyawan Wibisono
Elkom: Jurnal Elektronika dan Komputer Vol. 15 No. 1 (2022): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i1.795

Abstract

BLT merupakan program bantuan pemerintah dalam bentuk uang tunai kepada masyarakat miskin di desa yang dananya diambil dari dana desa atau disebut BLT-DD. Desa Sidaharja, Kecamatan Suradadi, Kabupaten Tegal memiliki jumlah penduduk ± 7.583 jiwa. Dari sekian banyak warga di desa tersebut, pemerintah desa melibatkan RT, desa setempat dalam mendaftarkan calon penerima BLT sesuai dengan kriteria dan mekanisme yang telah ditentukan agar bantuan yang disalurkan adil dan merata. Permasalahan dalam penyaluran BLT adalah masyarakat yang terdaftar sebagai calon penerima bantuan langsung tunai tidak memenuhi kriteria yang telah ditentukan sehingga bantuan tidak disalurkan kepada masyarakat yang berhak menerimanya. Hasil rekomendasi pemilihan BLT di Desa Sidaharja adalah Budi Susilo karena memiliki nilai Qi tertinggi yaitu 0,475. Budi Susilo memiliki skor tertinggi karena memiliki kriteria pendapatan kepala rumah tangga yang memiliki persentase berat badan tertinggi. Kombinasi keunggulan pendapatan kepala rumah tangga dan keunggulan berat badan memberikan nilai tinggi bagi Budi Susilo.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN JASA PENGIRIMAN TERBAIK MENGGUNAKAN AHP-COPRAS Muhammad Yusan Al Anshari; Setyawan Wibisono
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 2 (2023): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i2.1067

Abstract

The large number of needs for shipping goods at this time results in freight forwarding service companies having to continue to grow and compete to win the market. Online shop users will also be very confused and have difficulty in choosing a goods delivery service so they consider other factors in choosing a goods delivery service. Starting from prices, ratings, delivery time to the number of branches, online shop users are confused about choosing the best delivery service according to user needs, therefore complete data and an assessment method are needed to find out which delivery service suits the user's wishes. This study aims to develop a decision support system for selecting the best delivery service using AHP-COPRAS with the criteria of price, rating, delivery time and number of branches. the branch will make the delivery service the best choice, this is because the price and rating criteria have the highest weight. On the other hand, shipping services with high prices, small ratings and few branches will be the lowest choice in the ranking list.
KLASIFIKASI JENIS JAMUR MENGGUNAKAN METODE NEURAL NETWORK DENGAN FITUR INCEPTION-V3 Okka Hermawan Yulianto; Setyawan Wibisono
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 2 (2023): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i2.1281

Abstract

Mushrooms are very diverse with characteristics of each type, there are 1,433,800 types of mushrooms that have not been recognized. In this study, researchers used the Neural Network and Deep Learning Inception V3 methods as a feature extraction process in images to classify mushroom images based on genus with the Orange Data Mining application. There are 9 genera of mushrooms used in this study, namely Agaricus, Amanita, Boletus, Cortinarius, Entoloma, Hygrocybe, Lactarius, Russula, and Suillus. The total dataset used is 2,700, with 300 images for each genus. The test uses the cross-validation method which is applied to the confusion matrix to get precision, recall, F1-score, and accuracy values. In this study, the final classification results were obtained with an accuracy of 82.5% and the genus Boletus mushroom obtained the best results with an accuracy of 98.9%.
Implementasi SNA dalam Menilai Popularitas Platform Pemesanan Makanan Online Berbasis Percakapan Twitter Adriyansyah Juri Setyo Wibowo; Setyawan Wibisono
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2024): August
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i2.522

Abstract

This research aims to understand the popularity of online food ordering platforms in Indonesia, although the data taken in Indonesian includes allied languages. This research combines the SWARA, WASPAS, and Social Network Analysis (SNA) approaches to achieve its objectives. The problem formulation proposed is how to measure and analyze the popularity of online food ordering platforms based on interaction data on Twitter social media. The SWARA method is used to determine the weight of the evaluation criteria, while WASPAS is applied to rank online food ordering platforms. Meanwhile, SNA is applied to analyze interaction patterns and user preferences for various online food ordering platforms. Twitter was chosen as the main data source because it provides direct conversation data and real depictions, allowing for in-depth and accurate analysis. Through Twitter, research can capture the dynamics of user interactions and how they communicate about various online food ordering platforms. This research aims to provide a strong foundation for decision makers in designing more effective marketing strategies and provide insight into the dynamics of competition in the online food ordering platform industry. The research results show that SNA-based analysis is able to clearly identify interaction patterns and user preferences.
Co-Authors Ade Izyuddin Aditya Wafda Nahari Adriyansyah Juri Setyo Wibowo Aji Supriyanto Almin, Imam Husni Al Amanaturohim, Afif Anton Setiawan Aris Munandar, Muhammad Arjuanda, Resa Cahyono, Adi Tri Cahyono, Taufik Dwi Darmawan, Rico dirgantara krisna gaesa Eddy Nurraharjo Edwin Setiawan Edy Supriyanto Edy Winarno Eko Nur Wahyudi Elen Puspitasari Endang Lestariningsih Enty Nur Hayati Fariz Setiawan Fatkhul Amin Fatkhul Amin Hardiyanti, Susi Sri Heribertus Yulianton Herny Februariyanti Hizkia Indra Purwanto Huda Damar Sangkara Imam Husni Al Amin Indriani Indriani Irfan, Irfan Dwi Yulianto Istiyawan, Diyan Bagus Jati Sasongko Wibowo Jeffri Alfa Razaq Juniko Dwiki Saputro Kukuh Tri Nur Iman Kurniahadi, Wiwien Majid, Dzikri Fauzul Mardi Siswo Utomo Moch Mustofa Muhammad Aris Munandar Muhammad Yusan Al Anshari Muji Sukur Nur Cahyo IA, Nur Cahyo IA Nur Kharisa Umami Okka Hermawan Yulianto Rizki, Tita Saeffurrohman . Sahrul Ade Amanatulloh Sambora, Rendy Gibson Setyono, Setyono Siti Munawaroh Sulistyawan, Perdana Eka Putra Taufiq Dwi Cahyono Trisulo, Didik Umam, Muhammad Khoirul Wiwien Hadikurniawati zunaidi, edi