{"title":"Perbandingan Kinerja k-Nearest Neighbor dan Local Mean Distance k-Nearest Neighbor Pada Data Citra Covid-19","authors":"Sapriadi Sapriadi","doi":"10.35143/jkt.v9i1.6019","DOIUrl":"https://doi.org/10.35143/jkt.v9i1.6019","url":null,"abstract":"","PeriodicalId":31786,"journal":{"name":"Jurnal Komputer Terapan","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139368047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Penggunaan Metode FIFO pada Real-Time Monitoring Antrian Pendaftaran Pasien Puskesmas Berbasis Web","authors":"Mardhiah Fadhli, Dini Nurmalasari, M. Akbar","doi":"10.35143/jkt.v9i1.5915","DOIUrl":"https://doi.org/10.35143/jkt.v9i1.5915","url":null,"abstract":"","PeriodicalId":31786,"journal":{"name":"Jurnal Komputer Terapan","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139369137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementasi Algoritma Random Forest Regression untuk Memprediksi Hasil Panen Padi di Desa Minanga","authors":"Nahya Nur, Farid Wajidi, Sulfayanti Sulfayanti, Wildayani Wildayani","doi":"10.35143/jkt.v9i1.5917","DOIUrl":"https://doi.org/10.35143/jkt.v9i1.5917","url":null,"abstract":"","PeriodicalId":31786,"journal":{"name":"Jurnal Komputer Terapan","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139369211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Widya Tri Wulan Sari, Sugeng Purwantoro E.S.G.S, Muhammad Arif Fadhly Ridha
{"title":"Pengukuran Kinerja Kubernetes Cluster pada Nested Virtualization Berbasis KVM","authors":"Widya Tri Wulan Sari, Sugeng Purwantoro E.S.G.S, Muhammad Arif Fadhly Ridha","doi":"10.35143/jkt.v9i1.5606","DOIUrl":"https://doi.org/10.35143/jkt.v9i1.5606","url":null,"abstract":"","PeriodicalId":31786,"journal":{"name":"Jurnal Komputer Terapan","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139372341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design Game Mobile Edukasi Bina Diri untuk Anak Berkebutuhan Khusus Tunagrahita","authors":"Wenda Novayani, Heni Rachmawati, Irwan Hasbi","doi":"10.35143/jkt.v9i1.5765","DOIUrl":"https://doi.org/10.35143/jkt.v9i1.5765","url":null,"abstract":"","PeriodicalId":31786,"journal":{"name":"Jurnal Komputer Terapan","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139372322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Indra Hermawan, A. Kurniawan, Rachman Hanafi, Albarofi Fierelio Kinandes Sumarsono, M. Ardiawan
{"title":"Rancang Bangun Alat Mobile Smart Trash Bin Menggunakan Raspberry Pi","authors":"Indra Hermawan, A. Kurniawan, Rachman Hanafi, Albarofi Fierelio Kinandes Sumarsono, M. Ardiawan","doi":"10.35143/jkt.v9i1.5749","DOIUrl":"https://doi.org/10.35143/jkt.v9i1.5749","url":null,"abstract":"","PeriodicalId":31786,"journal":{"name":"Jurnal Komputer Terapan","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139372178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mechanism of Reciprocity Channel Probing Improvement on LoRaWAN Using Savitzky Golay Filter","authors":"Nurul Istiqomah, Mike Yuliana, T. Santoso","doi":"10.35143/jkt.v8i1.5319","DOIUrl":"https://doi.org/10.35143/jkt.v8i1.5319","url":null,"abstract":"Pada komunikasi Wireless seperti LoRa perlu adanya pembangkitan kunci untuk pengamanan data. Hal ini dilakukan agar data yang dikirimkan tidak mudah di serang oleh attacker. Salah satu cara mendapatkan kunci yang tepat adalah dengan pengkondisian nilai koefisien korelasi RSSI yang tinggi. Pada penelitian ini dibuat sebuah sistem untuk meningkatkan Reciprocity Channel Probing agar didapatkan nilai koefisien korelasi yang tinggi. Sistem dirancang dengan menggunakan metode Savitzky Golay Filter. Pengujian dilakukan pada dua kondisi yaitu indoor dan outdoor, dan dengan menggunakan nilai Spreading Factor dari SF-7 sampai SF-10. Hasil koefisien korelasi pengukuran menunjukkan bahwa pada kondisi outdoor lebih baik dibandingkan kondisi indoor. Nilai koefisien korelasi pengukuran tertinggi pada kondisi indoor yaitu 0.51 saat SF-10. Sedangkan pada kondisi outdoor nilai koefisien korelasi pengukuran tertinggi yaitu 0.81 saat SF-7. Metode Savitzky Golay Filter mampu meningkatkan koefisien korelasi sampai dengan 67.52% pada pengujian indoor. Rata-rata persentase kenaikan pada kondisi indoor yaitu lebih dari 30% dan kondisi outdoor lebih dari 15%. Dari hasil tersebut dapat diketahui bahwa metode Savitzky Golay Filter cocok digunakan untuk tahap pra proses karena mampu meningkatkan nilai koefisien korelasi secara signifikan.","PeriodicalId":31786,"journal":{"name":"Jurnal Komputer Terapan","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41363939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sistem Rekomendasi Berbasis-Konten Untuk Pengembangan Web Smart Tourism","authors":"Musyrifah, Sulfayanti, Irfan, Asmawati, Nuralamsah Zulkarnaim","doi":"10.35143/jkt.v8i1.5214","DOIUrl":"https://doi.org/10.35143/jkt.v8i1.5214","url":null,"abstract":"Pemanfaatan internet dalam dunia pariwisata sangat membantu wisatawan dalam merencanakan perjalanan termasuk dalam mengeksplor daerah wisata lokal. Keberadaan media khusus seperti fasilitas web smart tourism untuk mempublikasikan tempat-tempat wisata lokal dan fasilitas wisata yang ada di daerah tentu akan sangat membantu para stakeholder di daerah tersebut dan para wisatawan. Untuk memudahkan wisatawan sebagai pengguna web dalam mengakses informasi mengenai daerah wisata yang dikunjungi diperlukan adanya sistem rekomendasi yang dapat memberikan saran terkait kebutuhan wisatawan seperti tempat destinasi wisata,\u0000penginapan, rumah makan bahkan toko souvenir khas daerah setempat. Pengembangan sistem rekomendasi dapat dilakukan melalui dua metode dasar, yaitu: Content Based Recommendation dan Collaborative Filtering. Penelitian ini bertujuan untuk menunjukkan bagaimana pengimplementasian content-based filtering dalam memberikan rekomendasi berbasis untuk mendukung pengembangan web smart tourism dengan memanfaatkan cosine similarity dan KNearest Neighbor. Penelitian ini menunjukkan bahwa Content Based Recommendation dapat memberikan saran sesuai kebutuhan wisatawan berdasarkan konten yang telah dipilih oleh user lainnya","PeriodicalId":31786,"journal":{"name":"Jurnal Komputer Terapan","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44027370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementasi Ekstraksi Fitur untuk Pengelompokan Dokumen Proposal Menggunakan Algoritma Naïve Bayes","authors":"Dini Nurmalasari, H. Yuliantoro","doi":"10.35143/jkt.v8i1.5351","DOIUrl":"https://doi.org/10.35143/jkt.v8i1.5351","url":null,"abstract":"Text mining merupakan proses penemuan informasi yang baru yang belum diketahui\u0000sebelumnya dari beberapa dokumen teks. Text mining dapat diterapkan pada bidang ekstraksi informasi, pelacakan topik, perangkuman dokumen, membuat kategorisasi atau pengelompokan dokumen, concept linking atau question answering system. Salah satu yang sering dilakukan dalam mengimplementasikan text mining adalah ekstraksi informasi. Extraksi informasi bertujuan untuk mengambil informasi dari dokumen yang tidak terstruktur menjadi data yang terstruktur, dengan tujuan untuk memudahkan melakukan analisis dari data tersebut. Aktifitas Pengabdian kepada Masyarakat (PkM) diawali dengan pembuatan proposal yang diunggah ke dalam system informasi dalam bentuk dokumen teks. Untuk melihat informasi topik, lokasi dan informasi lainnya dari dokumen tersebut harus dibuka satu per satu, sehingga memakan waktu. Pada penelitian ini ektraksi fitur akan digunakan untuk mengambil fitur dari dokumen proposal PkM dengan menggunakan algoritma Frequent Itemset Mining (FIM). Fitur yang diambil adalah Judul , Abstrak, Tahun Pengabdian, Lokasi, dan topik penelitian. Setelah didapatkan fitur akan dilakukan pengelompokkan topik pengabdian dengan menggunakan algoritma Naive Bayes. Hasil dari penelitian ini dilakukan pengujian dengan confusion matrix, dengan hasil akurasi sebesar 70%. Faktor yang mempengaruhi hasil akurasi diantaranya adalah jumlah data training, sebaran data taining, dan optimasi algoritma yang digunakan. Hasil pengelompokkan ini sangat bermanfaat bagi pengelola aktifitas PkM dalam melihat sebaran data terkait topik, mitra, lokasi dan lain sebagainya.","PeriodicalId":31786,"journal":{"name":"Jurnal Komputer Terapan","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45260125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}