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All Journal JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) TRIDARMA: Pengabdian Kepada Masyarakat (PkM) INFOKUM Jurnal Info Sains : Informatika dan Sains Jurnal ICT : Information and Communication Technologies
Amran Sitohang
STMIK Pelita Nusantara, Medan
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering Social Sciences

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APRIORI ALGORITHM FOR THE DETERMINATION OF THE GOODS SALES MARKET BANK Fricles Ariwisanto Sianturi; Petti Indrayati Sijabat; Amran Sitohang; R. Mahdalena Simanjorang
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.994 KB)

Abstract

Data mining a process of finding meaningful new relationships, patterns, and trends by filtering the huge data stored in the database using pattern recognition techniques. One of the data mining techniques is the a priori algorithm. A priori algorithm is defined as an algorithm for finding the highest frequency patterns. Currently, the a priori algorithm has been implemented in various fields, one of which is in the field of business or trade and the field of education. Market basket analysis technique or market basket analysis is a data mining technique that aims to find products that are often purchased simultaneously from transaction data. Bina Karya Swalayan is a modern market that has various types of goods. Where in the supermarket there are still some problems faced by a manager and employees
ALGORITHM ANALYSIS TO DETERMINE THE ORDER OF GOODS AT THE COMPANY PT. SAGAMI INDONESIA MEDAN Amran Sitohang; Olven Manahan
INFOKUM Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The amount of competition in the business world, especially in the electronics industry, requires developers to find a strategy that can increase product orders at electronic companies. With daily printing activities, the data will increase over time. The data not only serves as an archive for the company, the data can be utilized and processed into useful information for increasing product orders. The data not only serves as an archive for the company, the data can be utilized and processed into useful information for increasing product orders. Apriori algorithm is a market basket analysis algorithm that is used to generate association rules. Association rules can be used to find a relationship or cause and effect. Association rules can be generated with a priori algorithm. An a priori algorithm that aims to find frequent itemsets is run on a set of data. Market basket analysis is one of the techniques of data mining that studies consumer behavior in buying goods simultaneously at one time. The purpose of this research is to analyze product order data to form a pattern of itemsets combination using a priori algorithm, to form rules with association rules, to implement data mining by using Tanagra 1.4 tools. Stages of this research method have several stages including literature study, field research (field research), analysis, discussion of analysis based on the method used,
Pendeteksian Wajah Manusia Pada Citra Digital Menggunakan Template Matching amran sitohang; Insan Taufik
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 1 No. 2 (2018): Jutikomp Volume 1 Nomor 2 Oktober 2018
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v1i2.248

Abstract

Teknologi pendeteksian wajah makin banyak diaplikasikan dalam system pengenalan biometrik, pencarian dan pengindeksan database citra. Citra Digital merupakan salah satu komponen multimedia yang sangat berperan penting sebagai informasi visual. Citra yang di bahas dalam hal ini adalah citra wajah. Wajah memiliki bentuk latar belakang yang sangat bervariasi, oleh sebab itu penulis mengembangkan sistem yang akan mendeteksi citra wajah yang berbeda. Komponen-komponen pada wajah yang bisa ada atau tidak ada seperti jenggot, kumis, dan memakai atau tidak memakai kacamata. Terhalang objek lain misalnya pada citra berisi sekelompok orang. Penerapan metode template matching adalah sebuah teknik dalam pengolahan citra digital untuk menemukan bagian-bagian kecil dari gambar yang cocok dengan template gambar. Aplikasi akan menguji citra yang dimasukkan apakah dapat dideteksi atau tidak. Hasil penelitian menunjukkan bahwa citra wajah yang di input dapat terdekesi dengan benar. Keywords – Image Processing, Face Detection, Template Matching
3D Image Side Sharpening Using Fourier Phase Only Synthetis Method Amran Sihotang Sihotang; Petti Indrayati
Jurnal Info Sains : Informatika dan Sains Vol. 10 No. 2 (2020): September, Informatics and Science
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (693.138 KB) | DOI: 10.54209/infosains.v10i2.34

Abstract

In the process of the Fourier Phase Only Synthetis method on two images, the observer must get the impression that the imagery actually changes shape to an intermediate form before it changes to the destination image. These changes must occur in a regular and consistent manner to achieve the image of the goal. This sharpening system is one of the systems that aims for this form change process is widely used in applications in the field of entertainment, computer animation, scientific visualization and education. The sharpening system on the 3-dimensional side of the image aims to identify the pattern of the image. Good image quality if it has good contrast and can describe clear ridges and valleys structures. Based on previous research that the study was conducted improvements with Fourier Phase Only Synthetis where the algorithm used simultaneously estimates all the intrinsic properties of. The quality of image sharpening relates to the clarity of ridge structure on the image side. A good image will have a good contrast and will well depict ridges and valleys, if the fingerprint imagery is of poor quality then it will have less contrast so it will less clearly describe the boundaries of ridges (hills). From the implementation of Fourier Phase Only Synthetis Analysis, using the main parameters ridge orientation image, has been successfully obtained the results of image side improvement well. This image side improvement will greatly help to improve the quality of 3-dimensional image extraction, by specifying constant values to get the bestresults.
PKM : Pemberdayaan Ibu Rumah Tangga Desa Sampurtoba Kecamatan Harian Kabupaten Samosir Dalam Penanaman Dan Pemanfaatan Tanaman Obat: Pemberdayaan Ibu Rumah Tangga Desa Sampurtoba Kecamatan Harian Kabupaten Samosir Dalam Penanaman Dan Pemanfaatan Tanaman Obat R. Mahdalena Simanjorang; Petti Indrayati Sijabat; Amran Sitohang
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 3 No. 1, Mei (2020): TRIDARMA: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1082.316 KB)

Abstract

Program Pengabdian Kepada Masyarakat ini bertujuan untuk meningkatkan sikap peduli, empati mahasiswa dan kondisi keberadaan masyarakat terhadap perekonomian dalam meningkatkan taraf hidup dan pemenuhan obat tradisional yang berasal dari tanaman obat keluarga (TOGA). Kegiatan akan dilaksanakan dengan menggunakan perpaduan antara metode pemberdayaan masyarakat, diklat dan pendampingan dengan melibatkan Mahasiswa Peserta Pengabdian Kepada Masyarakat di Desa Sampurtoba. Langkah awal yang dilakukan adalah melakukan pemberdayaan dan Pendampingan kepada masyarakat khususnya ibu rumah tangga yang memiliki lahan pekarangan untuk TOGA di Desa Sampurtoba. Kelompok masyarakat yang memiliki TOGA diberikan pelatihan pemanfaatan Tanaman Obat Keluraga (TOGA). Tahapan berikutnya adalah upaya dalam Pembuatan Jamu instant di sertai dalam pengawasan penggunaan jamu instant terhadap masyarakat Desa Sampurtoba Kecamatan Harian Kabupatenm Samosir Target akhir dari kegiatan Pengabdian Kepada masyarakat ini adalah melakukan pemberdaayan kepada ibu rumah tangga dalam sentuhan ilmu dan teknologi bagi dosen mahasiswa dan masyarakat dengan memanfaatkan lahan pekarangan sebagai basis ekonomi local masyarakat.
Decision Support System for Determining Homeroom Teachers at SMPN 3 Porsea Using the Simple Additive Weighting Method Amran Sitohang; Petti Indrayati Sijabat
Jurnal ICT : Information and Communication Technologies Vol. 14 No. 1 (2023): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.386 KB) | DOI: 10.35335/jict.v11i1.6

Abstract

Determination of homeroom teachers at SMPN 3 Porsea using the Simple Additive Weighting method. The model used in this decision support system is Fuzzy Multiple Attribute Decision Making (FMADM) which is a system that can produce an alternative decision that can be used as a tool in making decisions. Based on government demands in the field of education to improve the quality of homeroom teachers, system development This decision support is one way to assist in determining the appropriate teacher to be a homeroom teacher. The SAW method was chosen because this method determines the weight value for each attribute, then proceed with a ranking process that will select the best alternative from a number of alternatives in question, namely the teacher who has the highest score based on each predetermined criterion. With this ranking method, the assessment will be more precise because it is based on the criteria and weights that have been determined so as to get accurate results as a decision aid to determine the homeroom teacher at SMPN 3 Porsea.
Application of the Classification Decision Tree Method to Determine Student Satisfaction Factors for Student Services Yuda Perwira; Amran Sitohang; Mutiara Pandjaitan; Kuza Simamora
Jurnal Info Sains : Informatika dan Sains Vol. 13 No. 02 (2023): Jurnal Info Sains : Informatika dan Sains , Edition September  2023
Publisher : SEAN Institute

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Abstract

This study aims to apply the Classification Decision Tree method in knowing the factors that influence student satisfaction with student services in tertiary institutions. The Classification Decision Tree method is used to build a decision tree model that can identify the factors that most influence student satisfaction.The data used in this study is survey data on student satisfaction with student services in tertiary institutions, which consists of several variables such as service quality, facilities, information availability, and others. The data will be processed using the Classification Decision Tree algorithm to build a decision tree model that can predict student satisfaction based on the factors that influence it.The results of this study obtained an important root or root of student satisfaction with student services. The first is student welfare services and the second is organizational development services and the results of the test data show an accuracy of 87%.
Co-Authors Harpingka Sibarani Hasugian, Penda Sudarto Insan Taufik Jijon Raphita Sagala Kuza Simamora Manurung, Jonson Mutiara Pandjaitan Olven Manahan Petti Indrayati Petti Indrayati Sijabat R. Mahdalena Simanjorang Sarjon Defit Sumijan Uzitha Ram Yuda Perwira