Pub Date : 2020-06-02DOI: 10.30998/faktorexacta.v13i1.5548
Lila Setiyani, M. Wahidin, Dudi Awaludin, S. Purwani
Salah satu tantangan yang dihadapi perguruan tinggi adalah menghasilkan sarjana yang mempunyai kopetensi, bersaing dan beradaptasi di dunia global serta lulus sesuai dengan waktu yang telah ditentukan. Kelulusan mahasiswa tepat waktu menjadi salah satu kriteria penilaian akreditasi bagi suatu perguruan tinggi. Untuk mendapatkan hasil akreditasi yang baik maka dibutuhkan prediksi tingkat kelulusan dengan suatu metode sehingga dapat mengantisipasi keterlambatan kelulusan mahasiswa. Database yang dimiliki oleh setiap perguruan tinggi dapat dijadikan acuan sebagai bahan untuk memprediksi kelulusan Mahasiswa. Data mining adalah istilah yang digunakan untuk mendapatkan pengetahuan dan atau informasi didalam database. Terdapat beberapa metode dalam data mining salah satunya yaitu metode naïve bayes.Metode data mining naïve bayes merupakan metode probabilitas dan statistik yang memprediksi peluang di masa depan berdasarkan data yang ada sebelumnya. Sytematic review ini bertujuan untuk mengulas apakah metode data mining naïve bayes dapat memprediksi kelulusan mahasiswa dengan akurasi yang tinggi. Metode yang digunakan dalam penulisan systematic review ini menggunakan PRISMA framework. Dalam Systematic review ini, penulis mengulas tiga literatur dari beberapa sumber penerbit dan melakukan analisa terhadap metode dan hasil yang didapat.
{"title":"Analisis Prediksi Kelulusan Mahasiswa Tepat Waktu Menggunakan Metode Data Mining Naïve Bayes : Systematic Review","authors":"Lila Setiyani, M. Wahidin, Dudi Awaludin, S. Purwani","doi":"10.30998/faktorexacta.v13i1.5548","DOIUrl":"https://doi.org/10.30998/faktorexacta.v13i1.5548","url":null,"abstract":"Salah satu tantangan yang dihadapi perguruan tinggi adalah menghasilkan sarjana yang mempunyai kopetensi, bersaing dan beradaptasi di dunia global serta lulus sesuai dengan waktu yang telah ditentukan. Kelulusan mahasiswa tepat waktu menjadi salah satu kriteria penilaian akreditasi bagi suatu perguruan tinggi. Untuk mendapatkan hasil akreditasi yang baik maka dibutuhkan prediksi tingkat kelulusan dengan suatu metode sehingga dapat mengantisipasi keterlambatan kelulusan mahasiswa. Database yang dimiliki oleh setiap perguruan tinggi dapat dijadikan acuan sebagai bahan untuk memprediksi kelulusan Mahasiswa. Data mining adalah istilah yang digunakan untuk mendapatkan pengetahuan dan atau informasi didalam database. Terdapat beberapa metode dalam data mining salah satunya yaitu metode naïve bayes.Metode data mining naïve bayes merupakan metode probabilitas dan statistik yang memprediksi peluang di masa depan berdasarkan data yang ada sebelumnya. Sytematic review ini bertujuan untuk mengulas apakah metode data mining naïve bayes dapat memprediksi kelulusan mahasiswa dengan akurasi yang tinggi. Metode yang digunakan dalam penulisan systematic review ini menggunakan PRISMA framework. Dalam Systematic review ini, penulis mengulas tiga literatur dari beberapa sumber penerbit dan melakukan analisa terhadap metode dan hasil yang didapat.","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42572927","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}
Pub Date : 2020-06-02DOI: 10.30998/faktorexacta.v13i1.5401
E. Wati
{"title":"EVALUASI KETERSEDIAAN AIR PERMUKAAN PADA SAWAH IRIGAS DI KECAMATAN WERU KABUPATEN SUKOHARJO","authors":"E. Wati","doi":"10.30998/faktorexacta.v13i1.5401","DOIUrl":"https://doi.org/10.30998/faktorexacta.v13i1.5401","url":null,"abstract":"","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48894383","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}
Pub Date : 2020-06-02DOI: 10.30998/faktorexacta.v13i1.5542
Amril Mutoi Siregar, A. Fauzi
The welfare level of rural communities, especially the province of West Java, especially those living away from the cities, can not be separated from the primary revenue is in the agriculture sector. The agricultural industry covers many industries and still many lives under the poverty line. Because facilities and financing are still minimal from the local government. Given the root of the problem is that almost all villages in the city district do not have the correct data, accurate and precise about the condition of the issues and potential of the village-owned. This research is expected to be the wrong way to know the future development opportunities by analyzing the revenue data from the agriculture sector to better decision making. And this data processing technique can be implanted for the local government to measure the success of its agriculture. The selection of features in this study is to use the Decision Tree algorithm to classify data automatically. After this research, the Accuracy of 90% obtained.Keywords: DataMining, classification, Decision Tree, agriculture
{"title":"Klasifikasi Kab Kota Provinsi Jawa Barat Berdasarkan Pendapatan Dari Sektor Pertanian Dengan Algoritma Decision Tree","authors":"Amril Mutoi Siregar, A. Fauzi","doi":"10.30998/faktorexacta.v13i1.5542","DOIUrl":"https://doi.org/10.30998/faktorexacta.v13i1.5542","url":null,"abstract":"The welfare level of rural communities, especially the province of West Java, especially those living away from the cities, can not be separated from the primary revenue is in the agriculture sector. The agricultural industry covers many industries and still many lives under the poverty line. Because facilities and financing are still minimal from the local government. Given the root of the problem is that almost all villages in the city district do not have the correct data, accurate and precise about the condition of the issues and potential of the village-owned. This research is expected to be the wrong way to know the future development opportunities by analyzing the revenue data from the agriculture sector to better decision making. And this data processing technique can be implanted for the local government to measure the success of its agriculture. The selection of features in this study is to use the Decision Tree algorithm to classify data automatically. After this research, the Accuracy of 90% obtained.Keywords: DataMining, classification, Decision Tree, agriculture","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42613200","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":"Klasifikasi jenis mobil paling diminati Di indonesia menggunakan algoritma Naive bayes","authors":"Jajam Haerul Jaman, Carudin ., Aditya Rizky Sanjaya","doi":"10.30998/faktorexacta.v13i1.5573","DOIUrl":"https://doi.org/10.30998/faktorexacta.v13i1.5573","url":null,"abstract":"","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69319339","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}
Pub Date : 2020-05-28DOI: 10.30998/faktorexacta.v13i1.5611
N. Rumana
Sistem pendaftaran online adalah sebuah sistem dimana pasien melakukan pendaftaran untuk mendapatkan pemeriksaan dari fasilitas pelayanan kesehatan dengan memanfaatkan teknologi. Saat ini beberapa rumah sakit milik pemerintah sudah menerapkan sistem pendaftaran online guna mempermudah proses pendaftaran pasien. Technology Acceptance Model merupakan sebuah model untuk mengukur faktor yang mempengaruhi diterimanya suatu sistem informasi. Penelitian ini bertujuan untuk mengidentifikasi gambaran penerimaan pasien terhadap pendaftaran online serta kendala yang terjadi saat menggunakan pendaftaran online. Metode penelitian yang digunakan adalah analisis kuantitatif dengan desain penelitian crossectional. Dari hasil penelitian yang melibatkan 106 responden 48% diantaranya menyatakan sudah menggunakan sistem pendaftaran online. Karakteristik pasien di RSUP Fatmawati mayoritas berjenis kelamin perempuan (69,81%), umur rata-rata 36 tahun, pendidikan terakhir kebanyakan berpendidikan SMA (59,4%), berstatus menikah (84%), pekerjaan terbanyak yaitu Ibu rumah tangga (31,1%), suku terbanyak yaitu jawa (33%). Pendapatan rata-rata keluarga >UMR (69%). factor yang mempengaruhi penerimaan pasien terhadap sistem pendaftaran online di RSUP Fatmawati adalah faktor Perceived Ease of Use (persepsi kemudahan penggunaan), Behavioral Intention to Use (niat perilaku). Faktor yang paling berpengaruh terhadap penerimaan pasien pada sistem pendaftaran online adalah faktor Behavioral Intention to Use/niat perilaku.. Disarankan RSUP Fatmawati untuk lebih menyosialisasikan cara menggunakan pendaftaran online kepada pasien/masyarakat. Selain itu diharapkan sistem tidak hanya dibuat di android, tapi juga di iOS agar jangkauannya lebih luas, dan diharapkan tersedianya informasi terkait batasan pasien di poliklinik.
{"title":"Penerimaan Pasien Terhadap Sistem Pendaftaran Online Menggunakan Technology Acceptance Model di RSUP Fatmawati","authors":"N. Rumana","doi":"10.30998/faktorexacta.v13i1.5611","DOIUrl":"https://doi.org/10.30998/faktorexacta.v13i1.5611","url":null,"abstract":"Sistem pendaftaran online adalah sebuah sistem dimana pasien melakukan pendaftaran untuk mendapatkan pemeriksaan dari fasilitas pelayanan kesehatan dengan memanfaatkan teknologi. Saat ini beberapa rumah sakit milik pemerintah sudah menerapkan sistem pendaftaran online guna mempermudah proses pendaftaran pasien. Technology Acceptance Model merupakan sebuah model untuk mengukur faktor yang mempengaruhi diterimanya suatu sistem informasi. Penelitian ini bertujuan untuk mengidentifikasi gambaran penerimaan pasien terhadap pendaftaran online serta kendala yang terjadi saat menggunakan pendaftaran online. Metode penelitian yang digunakan adalah analisis kuantitatif dengan desain penelitian crossectional. Dari hasil penelitian yang melibatkan 106 responden 48% diantaranya menyatakan sudah menggunakan sistem pendaftaran online. Karakteristik pasien di RSUP Fatmawati mayoritas berjenis kelamin perempuan (69,81%), umur rata-rata 36 tahun, pendidikan terakhir kebanyakan berpendidikan SMA (59,4%), berstatus menikah (84%), pekerjaan terbanyak yaitu Ibu rumah tangga (31,1%), suku terbanyak yaitu jawa (33%). Pendapatan rata-rata keluarga >UMR (69%). factor yang mempengaruhi penerimaan pasien terhadap sistem pendaftaran online di RSUP Fatmawati adalah faktor Perceived Ease of Use (persepsi kemudahan penggunaan), Behavioral Intention to Use (niat perilaku). Faktor yang paling berpengaruh terhadap penerimaan pasien pada sistem pendaftaran online adalah faktor Behavioral Intention to Use/niat perilaku.. Disarankan RSUP Fatmawati untuk lebih menyosialisasikan cara menggunakan pendaftaran online kepada pasien/masyarakat. Selain itu diharapkan sistem tidak hanya dibuat di android, tapi juga di iOS agar jangkauannya lebih luas, dan diharapkan tersedianya informasi terkait batasan pasien di poliklinik.","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47628779","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}
Pub Date : 2020-04-17DOI: 10.30998/faktorexacta.v13i1.5378
M. Bagir
{"title":"RANCANG BANGUN APLIKASI RESEP MASAKAN KHAS PALEMBANG BERBASIS ANDROID DENGAN METODE SISTEM DINAMIS","authors":"M. Bagir","doi":"10.30998/faktorexacta.v13i1.5378","DOIUrl":"https://doi.org/10.30998/faktorexacta.v13i1.5378","url":null,"abstract":"","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69319297","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}
Pub Date : 2020-02-07DOI: 10.30998/faktorexacta.v12i4.5454
Fikki Muhamad
{"title":"IMPLEMENTATION OF DECISION SUPPORT SYSTEMS TO DETERMINE THE CANDIDATE OF JAKARTA PINTAR CARD RECIPIENT WITH PROMETHEE METHOD","authors":"Fikki Muhamad","doi":"10.30998/faktorexacta.v12i4.5454","DOIUrl":"https://doi.org/10.30998/faktorexacta.v12i4.5454","url":null,"abstract":"","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47294815","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}
Pub Date : 2020-02-07DOI: 10.30998/faktorexacta.v12i4.4912
N. Maryani, S. Dewi, Indah Juwita Sari, R. O. Khastini
Banana is the most favorite fruits in the world. Indonesia is in the center of origin and diversity of banana in Southeast Asia. Banten is one of the most banana producer in Indonesia. However, no information on banana diversity and its associated disease available from this province. In this paper, we explored Kabupaten Pandeglang in its diversity of banana and its associated disease. Eleven local banana germplasm were identified with their associated disease. Fusarium wilt, Sigatoka, and Blood disease are the most common diseases found on those varieties. Seven local banana germplasm are described in this paper. These information are very important to preserved biodiversity of Indonesia and will be useful for future food security and sustainability.
{"title":"Profil Plasma Nutfah dan Jenis Penyakit Pisang Lokal asal Pandeglang Banten","authors":"N. Maryani, S. Dewi, Indah Juwita Sari, R. O. Khastini","doi":"10.30998/faktorexacta.v12i4.4912","DOIUrl":"https://doi.org/10.30998/faktorexacta.v12i4.4912","url":null,"abstract":"Banana is the most favorite fruits in the world. Indonesia is in the center of origin and diversity of banana in Southeast Asia. Banten is one of the most banana producer in Indonesia. However, no information on banana diversity and its associated disease available from this province. In this paper, we explored Kabupaten Pandeglang in its diversity of banana and its associated disease. Eleven local banana germplasm were identified with their associated disease. Fusarium wilt, Sigatoka, and Blood disease are the most common diseases found on those varieties. Seven local banana germplasm are described in this paper. These information are very important to preserved biodiversity of Indonesia and will be useful for future food security and sustainability.","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41440376","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}
Pub Date : 2020-02-07DOI: 10.30998/faktorexacta.v12i4.4811
R. W. Pamungkas, Budi Pratama Wijaya Putra, A. H
{"title":"Optimalisasi Pengawasan Produksi dengan Metode Sequencing menggunakan aplikasi Berbasis Android","authors":"R. W. Pamungkas, Budi Pratama Wijaya Putra, A. H","doi":"10.30998/faktorexacta.v12i4.4811","DOIUrl":"https://doi.org/10.30998/faktorexacta.v12i4.4811","url":null,"abstract":"","PeriodicalId":53004,"journal":{"name":"Faktor Exacta","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49155885","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}
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