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Comparison of Apriori and Frequent Pattern Growth Algorithm in Predicting The Sales of Goods Hadinata, Wira; Waruwu, Jurisman; Hermanto, Toto
JURNAL SISFOTEK GLOBAL Vol 11, No 2 (2021): JURNAL SISFOTEK GLOBAL
Publisher : STMIK Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v11i2.390

The increasing number of bona fide companies, especially in the world of retail minimarkets, PT. Suka Maju innovates to make a company that develops in the retail sector so that it can serve consumers well. With the problems - problems in the company PT. Suka Maju still applies unrelated items so that consumers find it difficult to buy related products. PT. Suka Maju does not apply interrelated items such as coffee and sugar, sauce and noodles, bread and cheese. company PT. Suka Maju must act as quickly as possible and requires data analysis using Market Basket Analysis. The purpose of the existence of data in every transaction of product sales to consumers, data can be processed properly to provide information to companies so that transaction data in every product purchase can be useful and to determine the layout of a product. To deal with this problem, researchers found a pattern that can improve a layout pattern or display of sales items in the retail world, one of which is by utilizing product sales transaction data used to support and find an association rule data mining method technique, comparing the algorithm Apriori and algorithm Frequent Pattern Growth. The purpose of this study is to compare 2 algorithms and choose a better algorithm to help find products that are often purchased together. From the results of the research from 10,005 transactions of 27 attributes using the algorithms Apriori and algorithms Frequent Pattern Growth with the minimum parameters of support = 100, confidence = 100 and lift = 2.58, the algorithm Frequent Pattern Growth has the highest accuracy compared to the algorithm Apriori. In the results of this study, it can be said that the algorithm Frequent Pattern Growth is the best for determining interrelated

Comparison of Apriori and Frequent Pattern Growth Algorithm in Predicting The Sales of Goods Wira Hadinata; Jurisman Waruwu; Toto Hermanto
JURNAL SISFOTEK GLOBAL Vol 11, No 2 (2021): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

The increasing number of bona fide companies, especially in the world of retail minimarkets, PT. Suka Maju innovates to make a company that develops in the retail sector so that it can serve consumers well. With the problems - problems in the company PT. Suka Maju still applies unrelated items so that consumers find it difficult to buy related products. PT. Suka Maju does not apply interrelated items such as coffee and sugar, sauce and noodles, bread and cheese. company PT. Suka Maju must act as quickly as possible and requires data analysis using Market Basket Analysis. The purpose of the existence of data in every transaction of product sales to consumers, data can be processed properly to provide information to companies so that transaction data in every product purchase can be useful and to determine the layout of a product. To deal with this problem, researchers found a pattern that can improve a layout pattern or display of sales items in the retail world, one of which is by utilizing product sales transaction data used to support and find an association rule data mining method technique, comparing the algorithm Apriori and algorithm Frequent Pattern Growth. The purpose of this study is to compare 2 algorithms and choose a better algorithm to help find products that are often purchased together. From the results of the research from 10,005 transactions of 27 attributes using the algorithms Apriori and algorithms Frequent Pattern Growth with the minimum parameters of support = 100, confidence = 100 and lift = 2.58, the algorithm Frequent Pattern Growth has the highest accuracy compared to the algorithm Apriori. In the results of this study, it can be said that the algorithm Frequent Pattern Growth is the best for determining interrelated

Edukasi Pembuatan Bookchapter Catatan Berbagai Metode & Pengalaman Mengajar Dosen Di Perguruan Tinggi Murnihati Sarumaha; Kaminudin Telaumbanua; Fatolosa Hulu; Baziduhu Laia; Amaano Fau; Impiani Zagoto; Selfi Yanti Bali; Andrian Novialdi; Indah Permata Sari Lase; Tatema Telaumbanua; Agustinus Duha; Yohanna Theresia Venty Fau; Askarman Laia; Darmawan Harefa; Arianus Harefa; Yonathan Sebastian Laowo; Aluiwaauri Tafonao; Yurmanius Waruwu; Kristiurman Jaya Mendrofa; Jurisman Waruwu
KOMMAS: Jurnal Pengabdian Kepada Masyarakat Vol 3, No 2 (2022): KOMMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : KOMMAS: Jurnal Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.454 KB)

Pengabdian ini bertujuan untuk meningkatkan kualitas dari dosen dalam menulis serta membuat karya dalam bentuk buku. Pengabdian ini dilaksanakan di Universitas Nias Raya, sasaran utamanya adalah dosen yang belum pernah atau pernah memiliki karya berbentuk buku, mencoba untuk membuat karya yang di muat dalam bentuk bookcapter. Metode dalam pelaksanaan kegiatan pengabdian ini adalah metode pelatihan yang langsung dilakukan selama satu bulan oleh peserta bersama-sama dalam menghasilan sebuah karya buku chapter. Hasil penulisan bookcapter yang ditulis adalah berbagai metode & pengalaman mengajar dosen di perguruan tinggi yang akan di terbitkan secara nasional oleh penerbit yang memiliki kerja sama dengan penerbit IKAPI.

Analysis and Design of a Web-Based Marketing Information System with a CRM (Customer Relationship Management) Approach at Tenun Resti Sipirok Ofelius Laia; Jurisman Waruwu; Arisman Telaumbanua
Jurnal Mandiri IT Vol. 12 No. 1 (2023): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i1.237

Tenun Resti Sipirok is a company engaged in trading woven products such as Jas, Ulos, Souvenirs and other woven products. In marketing its products, Tenun Resti Sipirok still uses the shop as a marketing place, so that consumers who are interested in buying these products must come directly to the store where they are marketed. Not infrequently consumers are disappointed because the product they want to buy is not available which requires consumers to order in advance until the product is finished being produced. By designing and implementing a web-based marketing system with a CRM approach to Tenun Resti Sipirok, it is very helpful in the process of marketing products via the internet, such as selling and promoting products to consumers. This also has a positive impact on the consumer side, because consumers do not have to come directly to the marketing shop, but consumers can buy and order products through the website that is created and information about new products and promos is easy for consumers to get through the website page as well as via email messages.

Analysis and Design of a Web-Based Marketing Information System with a CRM (Customer Relationship Management) Approach at Tenun Resti Sipirok Ofelius Laia; Jurisman Waruwu; Arisman Telaumbanua
Jurnal Mandiri IT Vol. 12 No. 1 (2023): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i1.237

Tenun Resti Sipirok is a company engaged in trading woven products such as Jas, Ulos, Souvenirs and other woven products. In marketing its products, Tenun Resti Sipirok still uses the shop as a marketing place, so that consumers who are interested in buying these products must come directly to the store where they are marketed. Not infrequently consumers are disappointed because the product they want to buy is not available which requires consumers to order in advance until the product is finished being produced. By designing and implementing a web-based marketing system with a CRM approach to Tenun Resti Sipirok, it is very helpful in the process of marketing products via the internet, such as selling and promoting products to consumers. This also has a positive impact on the consumer side, because consumers do not have to come directly to the marketing shop, but consumers can buy and order products through the website that is created and information about new products and promos is easy for consumers to get through the website page as well as via email messages.

SISTEM INFORMASI PENJUALAN RUMAH BERBASIS WEB MENGGUNAKAN DATABASE MYSQL (STUDI KASUS CV. RUMAH IMPIAN) Waruwu, Jurisman; Harefa, Yusmei Paskah; Laia, Ofelius; Lase, Devi Chrisman
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 15 No 2 (2024): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i2.882

Perancangan dan pengimplementasian sistem informasi penjualan rumah berbasis web untuk CV Rumah Impian dengan database MySql. Fokus penelitian adalah analisis kebutuhan, desain, uji coba, evaluasi, dan pemeliharaan sistem. Hasilnya adalah sebuah sistem informasi penjualan rumah yang dapat disesuaikan dengan kebutuhan klien dan mudah digunakan. Studi ini menunjukkan bahwa penerapan sistem ini dapat membantu penjualan CV Rumah Impian.

Data Mining Technique in Detecting and Predicting Cyber In Marketplace Sector Waruwu, Jurisman; Hadinata, Wira; Febriyani, Siska; Wijayanti, Rini
Jurnal Informatika Vol 1 No 1 (2022): Jurnal Informatika
Publisher : LPPM Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/ji.v1i1.350

Marketplace is one business solution that can be profitable, because it is not bound by time and place. However, marketplace can be misused by irresponsible parties, and can harm others. Then a pattern is needed to predict cybercrime in order to prevent it. To get a pattern, we can use data mining. This paper presents a general idea about the model of Data Mining techniques and diverse cybercrimes in market place applications. This paper implements data mining techniques like K-Means, Influenced Association Classifier and J48 Prediction tree for investigating the cybercrime data sets. K-means selects the initial centroids so that the classifier can mine the record and also formulate predictions of cybercrimes with J48 algorithm. The knowledge of K-Means, Influenced Association Classifier and also J48 Prediction tree tends certainly to afford a enhanced, incorporated, and precise result over the cybercrime prediction in the marketplace sectors and prevent the cybercrime.

PELATIHAN PENGGUNAAN FITUR MAIL MERGE DAN TABLE OF CONTENTS PADA APLIKASI MICROSOFT OFFICE WORD UNTUK SISWA/I SMK NEGERI 1 LOLOFITU MOI Waruwu, Jurisman; Laia, Ofelius; Gea, Nov Elhan; Lase, Devi Chrisman
Haga : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 1 (2024): Haga: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Nias Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57094/haga.v3i1.2012

The training on the use of Mail Merge and Table of Contents features in Microsoft Office Word application at SMK Negeri 1 Lolofitu Moi aims to improve students' technical skills in managing documents. The training is designed to help students understand and apply these features in academic and professional contexts. Students were given in-depth understanding and hands-on practice on how to combine standard documents with external data using Mail Merge and how to create an automated table of contents using Table of Contents. The results of the training showed a significant improvement in students' skills, as demonstrated by their ability to complete practical assignments and school projects. The training not only added value to the students' technical competence but also prepared them for the challenges in the world of work.

Analisis Efektivitas Alat Forensik Data Carving Dalam Pemulihan Data Digital Menggunakan Backtrack OS Lase, Devi Chrisman; Waruwu, Eliyunus; Laia, Ofelius; Waruwu, Jurisman; Gea, Nov Elhan
JATISI Vol 12 No 1 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i1.11152

Forensik digital memiliki peran krusial dalam investigasi kejahatan siber, terutama dalam pemulihan data yang hilang atau terhapus. Salah satu metode yang digunakan dalam proses ini adalah data carving, yaitu teknik ekstraksi file dari media penyimpanan yang mengalami fragmentasi atau kerusakan. Penelitian ini bertujuan untuk menganalisis efektivitas tiga alat data carving pada BackTrack OS, yakni Scalpel, Foremost, dan PhotoRec, dengan mempertimbangkan aspek kecepatan, akurasi, dan kemampuan menangani fragmentasi file. Pendekatan eksperimental diterapkan dengan menggunakan tiga jenis media penyimpanan (USB drive, hard disk, dan kartu SD) yang telah melalui simulasi kerusakan data. Hasil penelitian menunjukkan bahwa Scalpel memiliki keunggulan dalam kecepatan pemulihan, Foremost menawarkan keseimbangan antara efisiensi dan akurasi, sedangkan PhotoRec unggul dalam pemulihan data dari media yang mengalami kerusakan parah. Temuan ini menegaskan bahwa tidak ada satu alat yang sepenuhnya unggul dalam semua aspek, sehingga pemilihannya harus disesuaikan dengan kebutuhan investigasi. Hasil penelitian ini diharapkan dapat menjadi referensi bagi praktisi forensik digital dalam menentukan alat pemulihan data yang optimal berdasarkan karakteristik kasus yang dihadapi.

Pengembangan Sistem Manajemen Tugas Pegawai Berbasis Digital di BPS Kabupaten Nias untuk Meningkatkan Efisiensi Kerja Pegawai Zega, Osadikman; Zega, Agusniaman; Waruwu, Candry Yurlina; Telaumbanua, Rina Novianti; Waruwu, Jurisman; Zai, Arliyanto
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 5 No. 4 (2025): Juli 2025 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/exmr9y69

Pengelolaan tugas pegawai secara terstruktur dan efisien merupakan aspek krusial dalam menunjang kinerja di Badan Pusat Statistik (BPS) Kabupaten Nias. Penggunaan sistem manual sebelumnya menimbulkan sejumlah kendala, seperti kurangnya efisiensi, distribusi tugas yang tidak optimal, serta lemahnya sistem pengawasan dan dokumentasi. Untuk mengatasi persoalan tersebut, dikembangkanlah sistem manajemen tugas berbasis digital guna meningkatkan efektivitas kerja pegawai. Pengembangan sistem ini menggunakan pendekatan waterfall yang mencakup tahapan analisis kebutuhan, perancangan, implementasi, dan pengujian. Aplikasi ini dirancang berbasis web dengan fitur utama seperti pembagian tugas otomatis, pengelolaan kehadiran, dan pelaporan kinerja secara langsung (real-time). Berdasarkan hasil implementasi, sistem dapat dijalankan dengan baik oleh admin dan pegawai, serta mampu mempermudah proses distribusi tugas, pencatatan kehadiran, dan penyusunan laporan. Pengujian sistem membuktikan bahwa seluruh fitur bekerja sesuai dengan yang dibutuhkan. Hal ini menunjukkan bahwa integrasi teknologi digital dalam pengelolaan tugas dapat meningkatkan transparansi, akuntabilitas, dan produktivitas pegawai. Dengan demikian, sistem ini memberikan kontribusi nyata terhadap transformasi digital dalam pengelolaan internal instansi pemerintahan.

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