Claim Missing Document
Check
Articles

Penerapan Algoritma K-Means Untuk Clustering Bakery Dan Cake Yang Laris Ahmad Fachriansyah; Efori Bu'ulolo
Bulletin of Information Technology (BIT) Vol 4 No 2: Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i2.675

Abstract

Bakery and Cake is a business engaged in the production of cakes, pastries and bread. Syahfira Bakery and Cake shop is a cake, sponge and bread shop which so far has not utilized data to determine store business strategy. The development of a business is based on good product sales marketing, this is inseparable from service between sellers and buyers as well as good relations between company owners and employees, this is the main key in a company. On this occasion the author will conduct research using the k-means algorithm for clustering bakeries and cakes which are in demand at CV. Syahfira Bakery and Cake by utilizing existing data that has been processed into excel data and cashier sales books. Based on the data previously obtained, there are six products that will be clustered on iteration or grouping calculations. With these data, the two best-selling products were obtained after calculating the application of the k-means algorithm, namely Cheese Wrap Bread and Chocolate Cheese Wrap Bread because they got a position in cluster 1
Penerapan Metode Fuzzy Mamdani dan Fuzzy Tsukamoto Dalam Menentukan Harga Mobil Bekas Siti Maryam; Efori Bu'ulolo; Edizal Hatmi
Journal of Informatics, Electrical and Electronics Engineering Vol. 1 No. 1 (2021): September 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Mamdani method and the Tsukamoto method are the methods most frequently encountered when discussing fuzzy methodologies. In Tsukamoto's method, each consequent to the rule in the form of IFTHEN must be represented by a fuzzy set with a monotonous membership function as the result. Many problems can be solved by using these two methods, one of which helps in determining the price of a used car. The presence of cheap cars that are increasingly incessant also affects the business of selling used cars because people have perceptions and tend to trust the types and brands of cars that have been tested for durability. This condition is also a problem at CV. Citra Kencana Mobil to determine the price of used cars. The calculation results show that the fuzzy mamdani method estimates the price of used cars to be cheaper than the Tsukamoto method.
IMPLEMENTASI ALGORITMA APRIORI DALAM MENENTUKAN POLA PEMBELI CUSTOMER Hendra Gunawan; Efori Bu'ulolo
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 3 No. 2 (2023): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v3i2.1519

Abstract

CV. Syahfira Bakery and Cake is a business engaged in the production of cakes, pastries and bread. The more a business develops, the transactions that occur daily also increase. However, sometimes the sales transaction data is not fully utilized properly by administrative staff and company owners. In fact, if it is processed and used by administrative staff and supervised by business owners, then sales data will have a major influence on product sales in the future. Data processing can be done using data mining techniques, these data sets can produce new information, one of which is customer purchasing patterns. Syahfira Bakery and Cake is a cake, sponge and bread shop that has not fully utilized data for determining sales business strategies. With these problems, it is necessary to use transaction data to be processed with the Apriori algorithm so that it can provide new knowledge that can be utilized by shop owners. Based on the research that has been done, from the 20 processed transaction data, results are obtained that meet a minimum support of 30% and a minimum confidence of 70% and one rule is obtained, namely if a customer buys chocolate jam products, he will buy plain bread
APLIKASI PENDATAAN JEMAAT GEREJA HKBP BETHEL RESORT PERSIAPAN BETHEL RESORT PADANG BULAN BERBASIS WEB Efori; Rian Syahputra
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 3, No 1 (2023): April 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v3i1.1390

Abstract

Abstract: The data collection process in an organization is needed to store data from every member who joins the organization. Usually, data collection is done by writing a registration form and later the organization will collect the form into an organized file. However, this raises a problem, namely the difficulty of finding member data, and the loss of the data form. To overcome this problem, a data collection application for the HKBP Tanjung Selamat Church Congregation was created. Using a web-based application makes it easier for the church to record its members and look up member data for data changes when members move domiciles or add family members.Keyword: organization; church; HKBP; data collection; web-based.Abstrak: Proses pendataan pada sebuah organisasi sangat diperlukan untuk menyimpan data dari setiap anggota yang mengikuti organisasi tersebut. Biasanya pendataan dilakukan dengan cara menulis formulir pendaftaran lalu nantinya pihak organisasi akan mengumpulkan formulir tersebut ke dalam sebuah berkas yang tersusun. Namun hal ini menimbulkan masalah yaitu sulitnya mencari data anggota, dan hilangnya formulir data tersebut. Untuk mengatasi masalah tersebut maka dibuat sebuah aplikasi pendataan Jemaat Gereja HKBP Tanjung Selamat. Metode yang digunakan dalam kegiatan ini dengan menggunakan ceramah, diskusi dan praktikum. Dengan menggunakan aplikasi berbasis web memudahkan pihak gereja untuk mendata anggotanya dan mencari data anggota untuk dilakukan perubahan data bila anggota pindah domisili maupun menambah anggota keluarga.Kata kunci: organisasi; gereja; HKBP; pendataan; berbasis web.
Penentuan Mahasiswa Penerima Bantuan Uang Kuliah Tunggal dengan K-NN Syahputra, Rian; Bu'ulolo, Efori
Jurnal Eksplora Informatika Vol 13 No 1 (2023): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v13i1.797

Abstract

Pada proses penentuan mahasiswa yang layak memperoleh bantuan Uang Kuliah Tunggal (UKT) di Univeristas Budi Darma sering mengalami kesulitan karena kuota yang yang tersedia tidak sebanding dengan calon mahasiswa penerima dan kriteria data mahasiswa yang sama. Pada penelitian ini metode penelitian yang dilakukan dimulai dari studi literature, identifikasi masalah, pengumpulan data, normalisasi, penerapan algoritma, hasil penelitian dan publikasi. Algoritma yang digunakan yaitu algoritma K-NN, dimana data yang digunakan terdiri atas data training dan data testing. Dalam proses pencarian jarak terdekat maka menggunakan model Euclidean Distance. Sebelum dilakukan proses pencarian jarak terdekat maka data dinormalisisakan terlebih dahulu, tujuan agar ada keseimbangan antara kriteria yang digunakan sehingga memperoleh hasil yang lebih akurat dan optimal. Hasil dari penelitian ini adalah calon penerima bantuan UKT setelah diklasifikasi dengan algoritma K-NN dinyatakan tidak menerima.
Implementasi Algoritma Genetika Dalam Penjadwalan Jeda Iklan Pada Stasiun Radio 99.1 Most FM Mutiah, Mutiah; Buulolo, Efori; Silalahi, Natalia
Building of Informatics, Technology and Science (BITS) Vol 2 No 2 (2020): December 2020
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.562 KB) | DOI: 10.47065/bits.v2i2.137

Abstract

The screening of advertisements on a commercial radio station is done every day from Sunday to Saturday. In commercial radio stations, in general, making ad schedules is still manually which results in delays in the presentation of the weekly ad schedule. Playback time consists of two types, namely prime time and regular time. Radio Ad Scheduling that will be discussed in this study is the ad screening that is carried out on the radio broadcast schedule, which is between 5 am to 24 pm in which with the rules every 15 minutes are provided 3 ad playback slots with a maximum duration of 1 minute per ad. So if the radio broadcast time per day is 19 hours, then the maximum number of ads per day that can be displayed is 76 ads. Another rule is the implementation of prime time, the hours at which the general public (listeners) have the greatest opportunity to listen to the radio, which is between 6:00 and 10:00 in the morning and 16: 00-20: 00 at night. The number of screenings of the same advertisement on one day is limited to prime time which is 5 times, while for regular time is 8 times. The radio scheduling process is carried out using genetic algorithms consisting of chromosome initialization, selection, crossover and mutation processes. The chromosomes in this study consist of 3 genes, each chromosome will be evaluated based on its fitness value which is calculated based on the number of violations of rules that occur on each chromosome in an individual. Where rule 1 is the number of plays per advertisement that cannot be more than 5 times in a day and rule 2 is that there cannot be two or more ad scheduling shows on the same day and time. After that the fitness value of each chromosome is obtained, then the selection, crossover and mutation are carried out. From this research an optimal ad schedule is produced by scheduling overall ad data, day and time of ad playback
Sistem Pakar Mendiagnosa Gangguan Koneksi Internet Berbasis Web Menggunakan Algoritma Rete Hasanah, Lailatun; Buulolo, Efori
Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.165 KB) | DOI: 10.47065/bits.v3i1.167

Abstract

Expert System to Diagnose Internet Connection Disorders is a series of systems that utilize digital technology to do special analysis. At PT.Telkom the Sumbagut Infratel Division already has its own website, but in providing expert system information about connection disruptions is still via the telephone, therefore a web-based expert system is designed, to facilitate the community in finding solutions to internet connection disruption. With the creation of this expert system, it is expected to provide solutions to current problems. In other words, this expert system can be said as a digital technician. The expert system to diagnose internet connection problems has been designed and implemented using the Visual Basic 2008 program and Microsoft Access as the database while the algorithm used is the Rete algorithm.This application is only admin that can process data input, edit data, and delete data. While the user can only consult and find information about internet connection disruption and the solution, with the program design that the authors make this hopefully can be used by all parties.
Penerapan Teknik Single Linkage Dalam Klasterisasi Mahasiswa Berdasarkan Indikator Pembidangan Skripsi Silalahi, Eci Marcelina; Bu'ulolo, Efori
Building of Informatics, Technology and Science (BITS) Vol 3 No 1 (2021): June 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.765 KB) | DOI: 10.47065/bits.v3i1.304

Abstract

Pelita Nusantara Medan STMIK Computer Informatics study program provides several fields of science that students can choose in completing their final thesis in the form of a thesis. During this time in its implementation, the determination of the field of this thesis was chosen by the student who will submit the thesis title as one of the requirements to obtain a bachelor's degree at STMIK Pelita Nusantara Medan without any direction from the campus either from the academic department or the head of the study program. Therefore, not a few students who ultimately choose a field of science that is not in accordance with their abilities. Based on the existing problems regarding the development of this thesis, a student clustering system was made based on the indicators of thesis development by applying one of the data mining methods, namely clustering, where the technique used was the Single Linkage Technique. Single Linkage Technique is a way to group objects or individuals based on criteria similarity size or closest distance between objects (minimum distances). Thus, the results of clustering (clustering) that are designed can help the academic STMIK Pelita Nusantara Medan, especially the Chairperson of the Computer Informatics Study Program in directing students in the determination of the field of thesis so that students choose the field of thesis in accordance with their abilities
Implementasi Algoritma Data Mining J48 Untuk Klasifikasi Mahasiswa Yang Layak Mendapat Beasiswa PPA Buulolo, Ananoma; Bu’ulolo, Efori
Building of Informatics, Technology and Science (BITS) Vol 4 No 1 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (432.457 KB) | DOI: 10.47065/bits.v4i1.1641

Abstract

The PPA Scholarship is a support for educational costs that is given to students who have taken at least semester 2 in Higher Education with consideration of limited economic capacity and have academic and non-academic achievements. In classifying students who are eligible for PPA scholarships, the management has difficulties because the limited PPA scholarships are not proportional to the number of students. One solution in classifying students who are eligible for PPA scholarships is to utilize the data of students who have received PPA scholarships in the previous year. However, in the classification process, data research is needed, one of the data research techniques is data mining. Where data mining is an interesting pattern extraction of large amounts of data [1]. One of the algorithms in data mining used in classification is the J48 algorithm. The J48 algorithm is the implementation of the C4.5 algorithm in the WEKA tools, besides the J48 algorithm is the decision tree implementation in the rapidminer tools. This algorithm is expected to help the management of the PPA scholarship at STMIK Budi Darma in classifying students who really deserve to receive the PPA scholarship. As a result, one of the criteria for a student to be classified as receiving a PPA scholarship is to have achievement
Sistem Pendukung Keputusan Pemilihan Instruktur Bimbingan Belajar Menggunakan Metode PSI (Preference Selection Index) Fauziyah, Fauziyah; Nugroho, Fifto; Buulolo, Efori
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2695

Abstract

Service activities aim for the long term in creating HR (Human Resources) who have knowledge and creativity in the field of computers, especially in graphic design and multimedia applications. This training aims to train students in using tools in graphic design applications, for example. Corel Draw, so students are expected to know how to plan and develop students' creative abilities in designing. This activity is carried out using the social method of graphic design applications using the Corel Draw application, and an instructor who is an expert in the field of graphic design. to guide the operation of the application, thereby helping trainees in the practice of making designs. Decision support system, is a system that is used to facilitate decision making in selecting a graphic design training instructor, where the decision making process is basically choosing alternative decisions in determining the eligibility of a person to become a design training instructor, the assessment can be seen from several assessment criteria, namely experience, consistent, creative and communicative. In facilitating the selection process, a decision support system is used using the PSI (Preference Selection Index) method to produce the best weights and preferences. So that the final result obtained as a tutoring instructor is alternative A11 on behalf of Sriwulan with the first rank with the highest score of 0.9196
Co-Authors A M Hatuaon Sihite A, Azanuddin Afnita, Devi Afri Nirmalasari Halawa Ahmad Fachriansyah Alan Bangun Siregar Alexander Pamdapotan Manullang Alwin Fau Amatilah Nasution Andreas Gerhard Simorangkir Ardi Kusuma Ari Pradana Arif Budiman Azhar Azhar Benny Sinaga Bernadus Gunawan Sudarsono Bister Purba Buulolo, Ananoma Defiyuliyanti Bazikho Desi Simanjuntak Devi Afnita Devi Sari Oktavia Panggabean Dito Putro Utomo Edizal Hatmi Eko Firdonal Simamora Endang Rismawati Erlinda Simamora Ewit Purba Fadlina Fauziyah Fifto Nugroho Fince Tinus Waruwu Fince Tinus Waruwu Fince Tinus Waruwu Ginting, Fransiskus Ginting, Permanan Hasanah, Lailatun Hendra Gunawan Hosianna Saragih Hot Riris Siburian Hukendik Hutabarat Hukendik Hutabarat Hutabarat, Hukendik Hutabarat, Sumiaty Adelina Ikhwan Lubis Ikwan Lubis Imam Saputra Iskandar Zulkarnain Kesuma, Chyntia Khairunnisa Khairunnisa Kurnia Ulfa Laia, Delisman Laia, Delisman Lucius Yupiter Telaumbanua M. Ibrahim Maharani Maharani, Maharani Maringan Sianturi Matias Julyus Fika Sirait Mauhati Pardede Meryance V. Siagian Meryance Viorentina Siagian Mesran, Mesran Muasir Pagan Muhammad Abdul Rohim Muhammad Fahriat Muhammad Zarlis Mutiah Mutiah Nababan, Christin Vebiola Nainel, Yane Laheroi Naomi Labora Saragi Nasib Marbun Nasution, Lulu Nurhidayanti Natalia Silalahi Natalia Silalahi, Natalia Ndruru, Eferoni Nduru, Ewin Karman Nduru, Ewin Karman Nelly Astuti Hasibuan Noferianto Sitompul Nurdiyanto, Heri Ojahan Sihombing Permanan Ginting Pristiwanto, Pristiwanto Pristiwanto, Pristiwanto Purba, Bister Purba, Citra Verawati Rahmi Ras Fanny Reka Safarti Rian Syahputra Rico Albert Andika Saragih Rivalri Kristianto Hondro Rizky Meliani Astri Hasibuan Rohan Kristini Purba Saidi Ramadan Siregar Saragih, Hosianna Sari, Vingki Rapika Sarumaha, Lukas Siagian, Edward Robinson Sianturi, Lince T Siburian, Henry Kristian Sihombing, Ojahan Silalahi, Eci Marcelina Simorangkir, Elsya Sabrina Asmita Sinaga, Ali Sabany Sirait, Annisa Corry Nauli Siregar, Alan Bangun Siska Kristiana Simanullang Sitepu, Rahmad Dani Sitepu, Rahmad Dani Siti Maryam Soeb Aripin Sri Devi Manullang Suginam Surya Darma Nasution Sutiksno, Dian Utami Tampubolon, Irma Suryani Tampubolon, Tigor Barata Victor Gultom Vini Kristin Septiani Situmorang Wahyu Prismawan Wulan Juni Andari Yani, Ika Fitri Yosa`aro Zai Yuhandri Yuhandri, Yuhandri Zai, Evi Safyan Sari Zai, Viktor Frank Zega, Serta Kurniawan Zulkifli Nasution