Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

4.915

P-Index

This Author published in this journals

All Journal Jurnal Akuntabilitas Manajemen Pendidikan Martabe : Jurnal Pengabdian Kepada Masyarakat KITABAH: Jurnal Akuntansi dan Keuangan Syariah KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Building of Informatics, Technology and Science EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) TIN: TERAPAN INFORMATIKA NUSANTARA Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Tunas Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) KLIK: Kajian Ilmiah Informatika dan Komputer Bulletin of Information Technology (BIT) BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer BEES: Bulletin of Electrical and Electronics Engineering Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Jurnal Indonesia Sosial Teknologi Journal of Informatics, Electrical and Electronics Engineering Jurnal Manajemen Pendidikan Islam Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)

Ilham Syahputra Saragih

STIKOM Tunas Bangsa, Pematangsiantar, Indonesia

Author-ID : 3642593

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 31 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4

Klasifikasi Algoritma C4.5 Dalam Penerapan Tingkat Kepuasan Siswa Terhadap Media Pembelajaran Online Kiki Aidi Saputra; Jaya Tata Hardinata; Muhammad Ridwan Lubis; Sundari Retno Andani; Ilham Syahputra Saragih
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 1 No. 3 (2020): KLIK Desember
Publisher : STMIK Budi Darma

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

This study aims to determine the effect of the level of student satisfaction on online learning media This study aims to determine the effect of the level of student satisfaction on online learning media in SMA YPI Swata Dharma Budi. Internet media has an important role to learn for students. This research population applies the C4.5 Algorithm in applying the level of student satisfaction to online learning media. This type of research is the classification with the concept of data mining involving as many as 100 student data in SMA YPI Swasta Dharma Budi which is categorized by: Satisfied and Dissatisfied. In collecting data using a questionnaire and the variables used in this study there were four namely interest in learning, ways of learning, learning, learning media. The method used in this study is the classification method. After manual calculation, verification is carried out using the RapidMiner application. Tests conducted with the Rapidminer software using the apply model and% performance obtained value of 86.67% accuracy.

Sistem Pendukung Keputusan Menentukan Kenaikan Jabatan Pegawai Kantor Kejaksaan Negeri Pematangsiantar Menggunakan Metode PROMETHEE Muhammad Ifnu Suhada; Irfan Sudahri Damanik; Ilham Syahputra Saragih; Sundari Retno Andani; Hasudungan Siahaan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 1 No. 5 (2021): April 2021
Publisher : STMIK Budi Darma

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

Pematangsiantar District Attorney's Office is a government agency that is engaged in the management of law and human rights. Employees are very important resources to determine the success of a work unit. Efforts to improve the quality of performance of a civil servant is a promotion. Position is a position that indicates the level of a person of the State Civil Apparatus. Promotion is an award given for work performance and service of the State Civil Apparatus. Decision Support System (SPK) which can help make it easier to determine an employee can be said to be eligible for promotion. In this study the decision-making calculation method used is Promethee with 5 criteria namely rank, Education, Discipline, Position History, Test Results. The system was built using the PHP programming language. The test results using the Questionnaire Testing show that the system can function according to the needs of users and the system is declared to have fulfilled the criteria for structural promotion of Employees at Pematangsiantar District Attorney's Office.

Pemilihan Canvaser Terbaik Menggunakan Metode Analitical Network Process Di Indosat Ooredoo Ina Syafitri; Harly Okprana; Ilham Syahputra Saragih
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 2 No. 2 (2021): Oktober 2021
Publisher : STMIK Budi Darma

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

Sales sales are one of the professions that spearhead the company in introducing its products to be known for and benefit to the public, as well as lead the prospects for a company meeting its established sales goals. In order for continuous sales conditions to be motivated to meet the company's established target of sales, appreciation should be given in reward for gains. In order for the reward to be conducted with objective and targeted objectives, it is necessary for a decision support system that helps indosat ooredo city of stabilizers to determine which sales are the best. In view of the fact that sales restructurization will not be done properly, it will create a stigma on both the management and the spirit and motivation of sales and retail sales. The research aims to identify the most influential criteria for best sales suppressors. The weight and priority of the criteria tested by the analytical network process (anp) are also intended to generate intermutual relationships between those criteria beyond the criteria for prioritizing alternatives.

Pengklasteran Gaji Karyawan Pada Pt. Erba Primas Bogor Menggunakan Algoritma K-Medoids Theresia Siburian; Suhada Suhada; Ilham Syahputra Saragih; Irfan Sudahri Damanik; Dedi Suhendro
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2852

PT. Erba Primas is located in Bogor, West Java and is part of the steel production industry. Inside PT. Erba Primas Bogor, there are several sections, among others, namely: Accounting Section, Administration Section, Human Resource Department (HRD), Logistics Section, Production Section Penjualan Sales and Purchasing Parts. In this study the authors found problems at PT. Erba Primas is specifically the accounting section where in classifying salaries to employees. So the authors use Datamining with the K-Medoids algorithm to facilitate decision making. K-Medoids Clustering Algorithm or also known as Partitioning Around Mendoid (PAM) Algorithm is an algorithm that uses partitioning clustering method to group n sets of objects into a number of k clusters. This algorithm uses objects in a group of objects to represent clusters. In this study aims to determine the salary clusters at high and low levels. The data source used was taken from PT. Erba Primas Bogor in 1 year. The number of records used by 100 employees and divided into two clusters, namely high and low. Based on calculations using the k-medoids algorithm the results of a high cluster of 6 employees and a low cluster of 94 employees. This research can be used as input to the company in an effort to help regulate the salary funds budget for employees and besides that in classifying employee salary data is done more more effectively and efficiently.

Penerapan Metode Smart Dalam Menentukan Mata Kuliah Terfavorit Pada Kampus Merdeka Di STIKOM Tunas Bangsa Muhammad Fachrur Rozy; Irfan Sudahri Damanik; Ilham Syahputra Saragih
Bulletin of Information Technology (BIT) Vol 2 No 3: November 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Saat ini kreativitas dan inovasi menjadi kata kunci penting untuk memastikan pembangunan Indonesia yang berkelanjutan. Para mahasiswa yang saat ini belajar di Perguruan Tinggi, harus disiapkan menjadi pembelajar sejati yang terampil, lentur dan ulet. Kebijakan Merdeka Belajar – Kampus Merdeka yang diluncurkan oleh Menteri Pendidikan dan Kebudayaan merupakan kerangka untuk menyiapkan mahasiswa menjadi sarjana yang tangguh, relevan dengan kebutuhan zaman, dan siap menjadi pemimpin dengan semangat kebangsaan yang tinggi. Proses pengambilan data diperoleh dengan cara membagikan kuisioner dan observasi secara langsung.Dengan variable jumlah SKS, peluang pekerjaan, dan alasan mahasiswa dalam mengambil mata kuliah pada kampus merdeka. Hasil penelitian ini berupa mata kuliah yang akan diambil berdasarkan mata kuliah yang ada pada Kampus Merdeka di STIKOM Tunas Bangsa.

Penerapan Algoritma K-Means dalam Mengelompokkan Balita yang Mengalami Gizi Buruk Menurut Provinsi Muhammad Dwi Chandra; Eka Irawan; Ilham Syahputra Saragih; Agus Perdana Windarto; Dedi Suhendro
BIOS : Jurnal Teknologi Informasi dan Rekayasa Komputer Vol 2 No 1 (2021): March
Publisher : Puslitbang Sinergis Asa Professional

The purpose of this study was to screen toddlers who were experiencing severe malnutrition according to province. Sources of research data used were obtained from the Ministry of Health of the Republic of Indonesia. The variables used are toddlers who experience malnutrition according to the Province. In this study using Data Mining Techniques using the K-means algorithm. It is expected that the results of this study can provide input to the central government to pay more attention to nutritional intake in infants, so as to increase the growth and development of toddlers in Indonesia. . And the data obtained by high clusters are 15 Provinsi yaitu (Aceh, Sumatera Utara, Nusa Tenggara Barat, Nusa Tenggara Timur, Kalimantan Barat, kalimantan Tengah, Kalimantan Selatan, Sulawesi Tengah, Sulawesi Selatan, Sulawesi Tenggara, Sulawesi Tenggara, Gorontalo, Sulawesi Barat, Papua Barat, Papua), dan cluster rendah ada 19 yaitu (Sumatera Barat, Riau, Jambi, Sumatera Selatan, Bengkulu, Lampung, Kep. Bangka Belitung, Kep. Riau, Dki Jakarta, Jawa Barat, Jawa Tengah, DI Yogyakarta, Jawa Timur, Banten, Bali, Kalimantan Timur, Kalimantan Utara, Sulawesi utara, Maluku Utara).

Penerapan Data Mining Klasifikasi Pada Calon Pelanggan Baru Indihome dengan C.45 Arfandi Arfandi; Agus Perdana Windarto; Ilham Syahputra Saragih
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

Indihome customers are people who are buyers of products that have been made and marketed by a company, where this person not only buys the product once but repeatedly. Meanwhile, Prospective Indihome customers are those who have not become your customers (buyers/service users) but are considered to have the opportunity to become customers in the near future or in the future. An algorithm is needed to classify indihome's new prospective customers so that there is no loss between the two parties. The C4.5 algorithm was chosen because it is able to classify new prospective customers of Indihome by using the rapid miner application and the calculation using Microsoft Excel. From the calculations using the two applications, the results obtained include: If Income <2000000 and Type of House = Contract, then the result is Not Eligible {Eligible = 0 and Not Eligible = 7}and the result is feasible, namely the rule If Employment = Self Employed and Income> 2000000 then the result is Eligible (Eligible = 54 and Not Eligible = 0)

Pengaruh Pemanfaatan E-commerce terhadap Pemulihan Ekonomi Pasca Pandemi Covid-19 di Kota Pematang Siantar: Studi Kasus pada Pelaku UMKM Rizki Alfadillah Nasution; Ilham Syahputra Saragih
Ekonomi, Keuangan, Investasi dan Syariah (EKUITAS) Vol 5 No 1 (2023): August 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/ekuitas.v5i1.4088

The global spread of the Covid-19 pandemic has reached nearly all parts of the world, resulting in severe disruptions and instability within the global economic structure. The response to this phenomenon includes the implementation of Large-Scale Social Restrictions (PSBB), which significantly affects the Micro, Small, and Medium Enterprises (MSMEs) sector on a massive scale. MSMEs play a crucial role in the growth and development of Indonesia's economy. Considering this context, the primary objective of this research is to explore the contribution made by E-Commerce to the efforts of economic recovery for MSMEs in the aftermath of the Covid-19 pandemic in the region of Pematang Siantar City. The applied research methodology involves the collection of both primary and secondary data. Primary data is obtained through the distribution of questionnaires using both conventional and online methods. On the other hand, secondary data is gathered through an in-depth review of relevant scholarly literature and research journals related to the subject. This study is specifically conducted in the Pematang Siantar City region, North Sumatra, with a data collection period spanning 20 days. The findings of this study indicate that elements such as Income Growth (P=0.679), Increased Market Access (P=0.302), Product Innovation & Diversification (P=0.756), and Job Creation (P=0.294) do not have a significant impact on the process of economic recovery for MSMEs in the Pematang Siantar City region.

Influence of Leadership, Organizational Climate and Job Satisfaction on Teacher Performance Dedi Suhendro; Ilham Syahputra Saragih
Nidhomul Haq : Jurnal Manajemen Pendidikan Islam Vol 6 No 1 (2021): Islamic Education Management
Publisher : Program Studi Manajemen Pendidikan Islam Institut Pesantren KH Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/ndh.v6i1.1152

The purpose of this study was to determine the influence of leadership on the performance of teachers in the State-Owned High School I Tanah Jawa, Simalungun Regency. To find out the influence of organizational climate on the performance of teachers in the State-Owned High School I Tanah Jawa, Simalungun Regency. To determine the influence of job satisfaction on teacher performance in the State-Owned High School I Tanah Jawa, Simalungun Regency. To find out the influence of leadership, organizational climate, and job satisfaction on the performance of teachers in the State-Owned High School I Tanah Jawa, Simalungun Regency. The sample in this research amounted to 55 teachers. Data analysis techniques in this research used descriptive analysis and multiple linear regression analysis. The results of this research explain that the leadership variable has a positive and significant influence on teacher performance by 33.27%. Organizational climate variables have a positive and significant influence on teacher performance by 43.30%. The job satisfaction variable has a positive and significant influence on teacher performance 42.34%. The variables of leadership, organizational climate, and job satisfaction have a positive and significant influence on teacher performance by 70.00%, while the remaining 30.00% is influenced by other factors not examined.

Pengelompokan Tamu Asing Ke Indonesia Berdasarkan Provinsi Dengan Algoritma K-Means Dicki Pramayuda; Muhammad Ridwan Lubis; Ilham Syahputra Saragih
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 1, No 4 (2020): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v1i4.38

The development of the industry in Indonesia has been growing rapidly; this is marked by the number of foreign guests who come to Indonesia to visit an object of tourist attraction. Also, which makes foreign guests feel happy coming to Indonesia, the population's friendliness is also one of the factors that are very supportive. Lack of information and grouping regarding the visit of foreign guests to various tourist attraction objects in various provinces resulted in difficulties for the Regional Government, especially the Office of Tourism and Creative Economy, in planning tourism marketing strategies in various provinces so that tourism promotion or marketing is not on target, causing foreign guests rarely visit tourism- tours in lesser-known provinces.The goal to be achieved in this study is to get a grouping of data on foreign guest visits in each province during the period 2014-2018 using the K-Means algorithm. K-means is a non-hierarchical data clustering method that attempts to partition existing data into one or more clusters / groups. The results obtained can be considered by the government, especially the Office of Tourism and Creative Economic in the Provinces to develop the potential of tourist attraction objects in the provinces in Indonesia.

Co-Authors Agus Perdana Windarto Agustinus Liberty Pasaribu Alfadillah Nasution, Rizki Arfandi Arfandi Azi Arisandi Azmi Ginting, Naufal Dedi Suhendro Dedi Suhendro Dedi Suhendro Dedi Suhendro Dermawan, Sabaruddin Dicki Pramayuda Eka Irawan Eka Irawan Frskila Parhusip Haryoto, Parawystia Prabasini Hasudungan Siahaan Ina Syafitri Irawan Irawan Irfan Sudahri Damanik Jaya Tata Hardinata Kiki Aidi Saputra Lola Alfiza Manurung, Hotben Mian Manimpan Siahaan Muhammad Dwi Chandra Muhammad Fachrur Rozy Muhammad Ifnu Suhada Muhammad Ifnu Suhada Muhammad Ridwan Lubis Muhammad Ridwan Lubis Muhammad Ridwan Lubis Napitupulu, Flora Sabarina Nasution, Rizki Alfadillah Nasution, Selvi Salsabillah Okprana, Harly Rahim Damanik, Abdi Ria Annisa Saragih Rizky Khairunnisa Sormin Sabaruddin Dermawan Saragih, Ria Annisa Siahaan, Mian Manimpan Suhada Suhada Suhada, Muhammad Ifnu Suhendro, Dedi Sumantri Sihombing Sundari Retno Andani Surya Darma Syahputri, Aprilia Syahyulita Fachri Tarigan, Sonia Theresia Siburian Wanto, Anjar

Title

Found 31 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 31 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 31 Documents
Search