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IMPLEMENTASI DAN ANALISIS ASOSIASION RULE MENGGUNAKAN ALGORITMA APRIORI DAN ALGORITMA FP GROWTH Aktavera, Beni; Satrianansyah, Satrianansyah; Elmayati, Elmayati; Wijaya, Harma Oktafia Lingga
Jurnal Teknologi Informasi Mura Vol 16 No 1 (2024): Jurnal Teknologi Informasi Mura JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v16i1.2284

Analisis asosiasi merupakan teknik data mining yang digunakan untuk menemukan hubungan atau pola tersembunyi antara item dalam sebuah dataset. Dua algoritma populer yang sering digunakan dalam analisis asosiasi adalah Algoritma Apriori dan Algoritma FP-Growth. Algoritma Apriori bekerja dengan prinsip mencari frekuensi itemset yang muncul dalam dataset. Proses ini dimulai dengan mengidentifikasi item-item yang paling sering muncul, kemudian memperluasnya menjadi kombinasi item yang lebih besar dan memeriksa frekuensinya. Algoritma ini menggunakan konsep support dan confidence untuk mengukur kekuatan asosiasi antara item. Support mengukur seberapa sering suatu itemset muncul dalam dataset, sedangkan confidence mengukur seberapa sering item B muncul di transaksi yang mengandung item A. Meskipun Algoritma Apriori efektif dalam menemukan aturan asosiasi, algoritma ini bisa menjadi tidak efisien pada dataset yang sangat besar karena harus melakukan banyak iterasi dan memindai dataset berkali-kali. Sebagai alternatif, Algoritma FP-Growth menggunakan pendekatan yang berbeda dengan membangun struktur data yang disebut FP-Tree (Frequent Pattern Tree) untuk menyimpan informasi tentang frekuensi itemset dalam dataset [1]. FP-Tree memungkinkan Algoritma FP-Growth untuk memindai dataset hanya dua kali, yang membuatnya lebih efisien dibandingkan dengan Algoritma Apriori. Setelah membangun FP-Tree, algoritma ini kemudian menggunakan teknik divide-and-conquer untuk menemukan itemset yang sering muncul tanpa harus melakukan iterasi berulang kali. Studi perbandingan antara Algoritma Apriori dan FP-Growth menunjukkan bahwa FP-Growth cenderung lebih efisien dalam hal waktu komputasi dan penggunaan memori, terutama pada dataset yang besar. Namun, Algoritma Apriori masih memiliki keunggulan dalam hal interpretasi hasil yang lebih mudah dipahami dan implementasi yang lebih sederhana [2].

IMPLEMENTASI DAN ANALISIS ASOSIASION RULE MENGGUNAKAN ALGORITMA APRIORI DAN ALGORITMA FP GROWTH Aktavera, Beni; Satrianansyah, Satrianansyah; Elmayati, Elmayati; Wijaya, Harma Oktafia Lingga
Jurnal Teknologi Informasi Mura Vol 16 No 1 (2024): Jurnal Teknologi Informasi Mura JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v16i1.2284

Analisis asosiasi merupakan teknik data mining yang digunakan untuk menemukan hubungan atau pola tersembunyi antara item dalam sebuah dataset. Dua algoritma populer yang sering digunakan dalam analisis asosiasi adalah Algoritma Apriori dan Algoritma FP-Growth. Algoritma Apriori bekerja dengan prinsip mencari frekuensi itemset yang muncul dalam dataset. Proses ini dimulai dengan mengidentifikasi item-item yang paling sering muncul, kemudian memperluasnya menjadi kombinasi item yang lebih besar dan memeriksa frekuensinya. Algoritma ini menggunakan konsep support dan confidence untuk mengukur kekuatan asosiasi antara item. Support mengukur seberapa sering suatu itemset muncul dalam dataset, sedangkan confidence mengukur seberapa sering item B muncul di transaksi yang mengandung item A. Meskipun Algoritma Apriori efektif dalam menemukan aturan asosiasi, algoritma ini bisa menjadi tidak efisien pada dataset yang sangat besar karena harus melakukan banyak iterasi dan memindai dataset berkali-kali. Sebagai alternatif, Algoritma FP-Growth menggunakan pendekatan yang berbeda dengan membangun struktur data yang disebut FP-Tree (Frequent Pattern Tree) untuk menyimpan informasi tentang frekuensi itemset dalam dataset [1]. FP-Tree memungkinkan Algoritma FP-Growth untuk memindai dataset hanya dua kali, yang membuatnya lebih efisien dibandingkan dengan Algoritma Apriori. Setelah membangun FP-Tree, algoritma ini kemudian menggunakan teknik divide-and-conquer untuk menemukan itemset yang sering muncul tanpa harus melakukan iterasi berulang kali. Studi perbandingan antara Algoritma Apriori dan FP-Growth menunjukkan bahwa FP-Growth cenderung lebih efisien dalam hal waktu komputasi dan penggunaan memori, terutama pada dataset yang besar. Namun, Algoritma Apriori masih memiliki keunggulan dalam hal interpretasi hasil yang lebih mudah dipahami dan implementasi yang lebih sederhana [2].

Analisis Tingkat Kepuasan Pengguna Aplikasi Grabfood Dilingkungan Universitas Bina Insan menggunakan Metode Importance Performance Analysis (IPA) Efendi, Shelly Nadia; Zulfauzi, Z; Satrianansyah, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.610

The problem in this study is that the use of services in the Grabfood application still has many shortcomings, including the process of finding drivers who will pick up consumer orders, the rates set by Grabfood are still too expensive, the lack of promos given to consumers, and the lack of existing restaurants. in the city of Lubuklinggau which is registered in the Grabfood application, then whether this problem is a factor or not or customer satisfaction with the grabfood application and will be examined using the Importance Performance Analysis (IPA) method with Service Quality variables (Tangiabels, Reliability, Responsiveness, Assurance, Empathy, Product Quality, Price). This study also uses 2 data including primary data and secondary data. Primary data is observation method (directly involved), interview method (interview), documentation and questionnaire method. While secondary data are journals and books. From the results of the analysis there were 2 items that were considered good, and there were 4 items that were considered not good and this should be improved in the future. The score for customer satisfaction for the Grabfood application at Bina Insan University is 94%, which means it is satisfactory.

Analisis Kualitas Website Institut XYZ Menggunakan Metode Webqual dan IPA Saputra, Jeki; Satrianansyah, S; Wijaya, Harma Oktafia Lingga; Rahman, Taufik
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.324

A good website is a website that is in great demand by users and provides good information to its users. One of the website applications that can be seen is in universities. To measure the quality of the XYZ Institute website, indicators that affect the quality of the website are needed from the point of view of educators, lecturers and students. Therefore, the methods used to measure the quality of the XYZ Institute website are the Webqual and IPA methods. The description of this research is whether there is an effect of the quality of the XYZ Institute website on usability indicators. Is there an effect of the quality of the XYZ Institute website on the indicators of information quality (Information Quality, is there an effect of the quality of the XYZ Institute website on the indicators of service interaction quality), and, is there an effect of the quality of the XYZ Institute website on the overall indicators. Is there an influence on the quality of the XYZ Institute website with a comparison the level of importance and level of performance in the IPA method. There is a significant influence between usability, quality information and service interaction quality on user satisfaction both partially and simultaneously. In the IPA method in developing the Institute website XYZLubuklinggan In quadrant I has an important priority where the indicators in quadrant I are indicators X16 and X17 and this quadrant is not in accordance with user expectations and has a high level of importance. In Quadrant II the XYZha Institute website rus maintains the indicators are X4, X8, X10, X12, X14, X16, X18, in quadrant III can ignore a little of importance the indicators are X1, X2, X3, X5, X11, X15, and quadrant IV are considered to have a low level of importance but the level of performance on this website is considered very good for users whose indicators are X6 and X7.

Analisis Tingkat Kepuasan Pengguna Aplikasi Grabfood Dilingkungan Universitas Bina Insan menggunakan Metode Importance Performance Analysis (IPA) Efendi, Shelly Nadia; Zulfauzi, Z; Satrianansyah, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.610

The problem in this study is that the use of services in the Grabfood application still has many shortcomings, including the process of finding drivers who will pick up consumer orders, the rates set by Grabfood are still too expensive, the lack of promos given to consumers, and the lack of existing restaurants. in the city of Lubuklinggau which is registered in the Grabfood application, then whether this problem is a factor or not or customer satisfaction with the grabfood application and will be examined using the Importance Performance Analysis (IPA) method with Service Quality variables (Tangiabels, Reliability, Responsiveness, Assurance, Empathy, Product Quality, Price). This study also uses 2 data including primary data and secondary data. Primary data is observation method (directly involved), interview method (interview), documentation and questionnaire method. While secondary data are journals and books. From the results of the analysis there were 2 items that were considered good, and there were 4 items that were considered not good and this should be improved in the future. The score for customer satisfaction for the Grabfood application at Bina Insan University is 94%, which means it is satisfactory.

Analisis Kualitas Website Institut XYZ Menggunakan Metode Webqual dan IPA Saputra, Jeki; Satrianansyah, S; Wijaya, Harma Oktafia Lingga; Rahman, Taufik
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

A good website is a website that is in great demand by users and provides good information to its users. One of the website applications that can be seen is in universities. To measure the quality of the XYZ Institute website, indicators that affect the quality of the website are needed from the point of view of educators, lecturers and students. Therefore, the methods used to measure the quality of the XYZ Institute website are the Webqual and IPA methods. The description of this research is whether there is an effect of the quality of the XYZ Institute website on usability indicators. Is there an effect of the quality of the XYZ Institute website on the indicators of information quality (Information Quality, is there an effect of the quality of the XYZ Institute website on the indicators of service interaction quality), and, is there an effect of the quality of the XYZ Institute website on the overall indicators. Is there an influence on the quality of the XYZ Institute website with a comparison the level of importance and level of performance in the IPA method. There is a significant influence between usability, quality information and service interaction quality on user satisfaction both partially and simultaneously. In the IPA method in developing the Institute website XYZLubuklinggan In quadrant I has an important priority where the indicators in quadrant I are indicators X16 and X17 and this quadrant is not in accordance with user expectations and has a high level of importance. In Quadrant II the XYZha Institute website rus maintains the indicators are X4, X8, X10, X12, X14, X16, X18, in quadrant III can ignore a little of importance the indicators are X1, X2, X3, X5, X11, X15, and quadrant IV are considered to have a low level of importance but the level of performance on this website is considered very good for users whose indicators are X6 and X7.

IMPLEMETASI METODE SERVQUAL UNTUK LAYANAN JASA JALUR NUGRAHA EKAKURIR EXPRESS KOTA LUBUKLINGGAU Cindi Wulandari; Satrianansyah Satrianansyah
Jurnal TAM (Technology Acceptance Model) Vol 10, No 2 (2019): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v10i2.771

Kota Lubuklinggau memiliki banyak sekali layanan jasa pengiriman barang, salah satunya yakni layanan jasa Jalur Nugraha Ekakurir Express yang tentu saja peningkatan kualitas pelayanan terhadap pelanggan sangat penting dan dapat berpengaruh besar pada manajemen perusahaan, karena belum pernah dilakukan pengukuran faktor-faktor kepuasan pelanggan layanan jasa Jalur Nugraha Ekakurir Express tersebut, maka peneliti berupaya untuk mengimplementasikan metode SERVQUAL hingga dapat mengetahui tingkat kepuasan para pelanggan. Sebanyak 75 responden diberikan kuisioner yang terdiri atas lima variabel yaitu kehandalan (reliability), daya tanggap (responsiveness), jaminan (assurance), empati (emphaty), dan bukti fisik (tangible). Hasil penelitian ini diharapkan bahwa masyarakat memiliki tingkat kepuasan yang sangat tinggi terhadap layanan jasa Jalur Nugraha Ekakurir Exspress sehingga menjadi pilihan utama dalam jasa pengiriman barang, akan tetapi apabila berdasarkan pengolahan data hal tersebut tidak terbukti maka penelitian ini dapat menjadi tolak ukur manajemen layanan jasa Jalur Nugraha Ekakurir Express untuk dapat meningkatkan pelayanan terhadap para pelanggannya. Kata Kunci : Layanan Jasa Jalur Nugraha Ekakurir Express, Tingkat Kepuasan, SERVQUAL

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