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PENERAPAN LOGIKA FUZZY DALAM PENGUKURAN TINGKAT KENYAMANAN TERMAL SUATU RUANGAN BERDASARKAN SISTEM VENTILASI Andriani, Santy; Simanjorang, R. Magdalena; Sulindawaty, Sulindawaty; Hasugian, Penda Sudarto
Majalah Ilmiah Kaputama Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019
Publisher : STMIK Kaputama

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Abstract

Thermal is a very important thing in influencing the level of comfort of a room. The important factor for the thermal comfort of a room is influenced by several factors, namely the height of the building which also affects the wind speed that enters the room, air temperature in the room, relative humidity level, the activity of the occupants That can affect the speed of metabolism and clothing imposed by the occupants of the room. PMV (Predicted Mean Vote) which has a range of-3 to 3 which represents the cold codition until heat, can be determined the value of its condition by using the fuzzy logic. The fuzzy logic can decide on which conditions the room is taking into account the weight of its membership.
Analisa Algoritma Apriori Untuk Peminjaman Buku Pada Perpustakaan SMA 1 Silima Pungga-Pungga Parongil: Analisa Algoritma Apriori untuk Peminjaman Buku Manurung, Oktaviani; Hasugian, Penda Sudarto
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 4 No. 1 (2019): Remik Volume 4 Nomor 1 Oktober 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (574.211 KB) | DOI: 10.33395/remik.v4i1.10445

Abstract

ABSTRACT The library has the role of helping students to love reading books. The availability of books in various fields motivates students to come to visit the library, students can read or borrow library books. For this reason, library officers apply the rules for visiting the library. The Apriori algorithm is a part of data mining, namely the search for high frequency patterns such as activities that often appear simultaneously. The pattern that will be analyzed is the pattern of borrowing any books that are often borrowed so that librarians know the information of books that are often borrowed. With the application of a priori algorithms, book data is processed to produce a book borrowing pattern. After all the high frequency patterns were found, then association rules were found that met the minimum requirements for associative confidence A → B minimum confidence = 25%. Rules for sequential final association based on minimum support and minimum confidence, if borrowing an IPA, then borrowing MTK Support = 15%, Confidence = 42.8%. Keywords:Patterns of borrow of books, Library, Apriori Algorithms
Penerapan Data Mining Dalam Menganalisa Pola Peminjaman Buku di Perpustakaan SMP Negeri 2 Beringin Satu Atap Menggunakan Algoritma Apriori Romili Sitanggang, Kristiani; Hasugian, Penda Sudarto
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 1 No. 1 (2018): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Sisfokomtek

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Abstract

The library is a facility that provides information, sources of knowledge, and tools for learning. All this time,in the library of the One Roof One-Banyan One-Roof Junior Secondary School, in book lending transactions,they are only stored without any further data processing. In fact, the large amount of lending transaction datacan be used to find out the association rules between two or more books. To facilitate the process of borrowingbooks in a library, especially in terms of finding books to be borrowed, Apriori algorithm with the associationrules (association rules) so that information can be extracted about what books are often borrowed and knowthe pattern of the relationship between books that have been borrowed together so that later can be used tomake the preparation of books in accordance with the existing book lending patterns so can facilitate libraryvisitors in the process of finding books
ANALYSIS OF THE C4.5 ALGORITHM IN PREDICTING FERTILIZER AND PESTICIDE SALES AT UD. MR ZEN AGRO Sagala, Jijon Raphita; Hasugian, Penda Sudarto; Breukelen, Melisa Van; Nantheni, W.S.Usha
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 2 (2024): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i2.4816

Abstract

ABSTRACT Fertilizer and Pesticide sales prediction is a process for finding, assessing, and predicting fertilizer and pesticide sales for the future based on sales results in the past few months. The increasing demand from customers for Fertilizers and Pesticides means UD. Mr Zen Agro, which operates in supplying and selling necessities, needs to record sales transactions so that stock shortages and excess stock of goods do not occur. Using data mining techniques and applying the C4.5 Algorithm can help UD. Mr Zen Agro predicts sales of Fertilizers and Pesticides as a reference or guideline in making decision trees, which are able to predict sales data with a high level of accuracy by calculating the entropy value, information gain, split info, and gain ratio until the matter can no longer be calculated or is zero. An application system exists to predict sales of fertilizers and pesticides, which applies the C4.5 algorithm to UD. Mr Zen Agro, it can be seen how big the sales prediction results obtained can be implemented in a decision tree where from the decision tree, it can be seen which fertilizers and pesticides are in demand and which are not for sale. This system was built using the PHP programming language and MySQL as the database. Keywords: Data Mining, Sales Prediction, Fertilizer and Pesticide, Algorithm C4.5.   Keywords: Data Mining, Sales Prediction, Fertilizer and Pesticide, Algorithm C4.5.
Perancangan Smartgarden Berbasis Internet Of Things Untuk Monitoring dan Kontrol Nutrisi Tanaman sinaga, Dedi Candro Parulian; Marpaung, Endra Ary Prasasty; Hasugian, Penda Sudarto; Amallia, Dwi Novia; Setiawan, Chandra
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 24 No 1 (2025): Februari 2025
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v24i1.10629

Abstract

Perancangan Smartgarden berbasis Internet of Things (IoT) untuk monitoring dan kontrol nutrisi tanaman bertujuan untuk meningkatkan efisiensi dan produktivitas pertanian dengan memanfaatkan teknologi terkini. Sistem ini mengintegrasikan sensor-sensor untuk memantau parameter lingkungan seperti kelembapan tanah, suhu udara, intensitas cahaya, dan kadar nutrisi di dalam media tanam secara real-time. Data yang terkumpul akan dikirimkan ke platform cloud melalui koneksi internet, memungkinkan pemantauan jarak jauh menggunakan aplikasi mobile atau web. Sistem ini dilengkapi dengan mekanisme kontrol otomatis untuk mengatur irigasi, pemberian nutrisi, dan pencahayaan berdasarkan kebutuhan tanaman yang terdeteksi. Dengan menggunakan algoritma berbasis data sensor, sistem dapat mengoptimalkan pemberian air dan nutrisi, serta menjaga kondisi lingkungan agar tetap ideal bagi pertumbuhan tanaman. Hasil yang diharapkan adalah peningkatan kualitas dan kuantitas tanaman, serta efisiensi penggunaan sumber daya seperti air dan pupuk. Selain itu, sistem ini memberikan kemudahan bagi petani untuk memantau dan mengontrol kebun mereka secara lebih efektif dan praktis, bahkan tanpa kehadiran fisik di lokasi.
Penerapan Metode SAW dalam Sistem Pendukung Keputusan Penetuan Calon Kepala Desa di Desa Situnggaling, Kec. Merek, Kab. Karo Hasugian, Penda Sudarto; Sagala, Jijon Raphita; Sulindawaty, Sulindawaty
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2495

Abstract

Salah satu pesta demorasi masyarakat adalah pemilihan kepala Desa, pemilihan kepala desa dilakukan di tingkat desa secara langsug untuk menentukan pemimpin Desa atau kepala Desa. Sistem pendukung keputusan merupakan suatu alternatife sistem yang interaktif yang dapat membantu dalam pengambilan keputusan melalui penggunaan data dan model-model keputusan untuk memecahkan masalah yang bersifat semi terstruktur maupun yang tidak terstruktur. Sistem ini dibangun dengan menerapkan metode SAW (Simple Additive Weighting) dimana Konsep dasar metode SAW yaitu mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada semua atribut. Pada perhitungan metode SAW ini hanya yang menghasilkan nilai terbesar yang akan terpilih sebagai alternatif yang terbaik. Perhitunganakan sesuai dengan metode ini apabila alternatif yang terpilih memenuhi kriteria yang telah ditentukan. Dengan Menggunakan sistem pendukung keputusan pemilihan calon kepala Desa yang memakai metode Simple Additive Weigtihng (SAW) ini membantu warga masyarakat untuk mengetahui perangkingan calon kepala Desa dari hasil bobot kriteria yang telah di tentukan, sehingga memberi informasi tambahan saat akan menetukan pilihan dalam pesta demokrasi warga masyarakat di desa situnggaling.
DECISION SUPPORT SYSTEM FOR TEACHER PERFORMANCE APPRAISAL WITH SIMPLE ADDITIVE WEIGHTING METHOD Sagala, Jijon Raphita; Hasugian, Penda Sudarto
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 1 (2023): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i1.4122

Abstract

Teachers are the most influential component in creating quality educational processes and outcomes. Therefore, improvement efforts are made to improve the quality of education. Schools will not make a significant contribution without the support of professional and qualified teachers. Teachers are really required to have high performance. To improve the quality of teacher performance, the 064022 State Elementary School conducts teacher performance appraisals every 3 months but the mechanism is less effective due to lack of transparency. Research on teacher performance appraisal using the system is applied for efficiency and transparency. The system was developed using the Simple Additive Weighting method. The Simple Additive Weighting method is part of the Decision Support System (DSS) used to help determine decisions based on alternative data and criteria data. Keywords: Decision Support System, Teacher Performance, Simple Addictive Weighting.
Analisa Metode Least Significant Bit Dalam Penyisipan Pesan Terenkripsi Terhadap Citra Digital Hasugian, Penda Sudarto
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 1 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v1i1.45

Abstract

Berkembangnya jaringan komunikasi membuat pertukaran informasi semakin sering terjadi, baik dalam bentuk teks, audio, dan video. Semakin banyaknya pesan yang yang ingin dikirimkan maka keamanan dan kerahasiaan dari pesan tersebut semakin sulit dijaga. Keamanan dan kerahasiaan adalah aspek yang penting pada proses pertukaran informasi atau pesan. Untuk melindungi kerahasiaan pesan bisa menggunakan teknik kriptografi. Kriptografi adalah ilmu yang mempelajari teknik – teknik matematika yang berhubungan dengan aspek keamanan seperti kerahasiaan, integritas data, serta otentikasi. Sedangkan Steganografi adalah salah satu teknik yang dilakukan dalam mengamankan pesan yaitu dengan cara menyembunyikan pesan ke sebuah media digital. Pada penelitian ini dilakukan analisis untuk mengimplementasikan keamanan file txt dan rtf dengan kombinasi algoritma kriptografi One Time Pad dengan steganografi least significant bit (LSB). Pada tahap kriptografi pesan yang telah berhasil diinput akan dienkripsi dengan kunci yang telah diberikan kemudian dilanjutkan dengan proses penyisipan pesan di tahap steganografi.. Pesan yang dapat dibaca oleh sistem adalah pesan berformat .txt dan .rtf. Pada Algoritma LSB penyisipan dilakukan dengan menggantikan bit terakhir citra dengan bit pesan yang akan disisipkan. Pada tahap enkripsi dan penyisipan akan dihasilkan stego image, stego image merupakan citra yang sudah disisip oleh pesan. Kemudian pada tahap ekstraksi dan dekripsi yang dihasilkan adalah plaintext, plaintext merupakan pesan yang belum diberikan kunci apapun.
Decision Support System of The People's Business Credit Method Using Analytical Hierarchy Process at Bank Syariah Mandiri Kc. Lubuk Pakam Andika, Dhini; Hasugian, Penda Sudarto
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i1.371

Abstract

Decision support system (DSS) system that can help someone in making decisions that are accurate and right on target. Many problems can be solved by using the SPK. One of them is Determining the eligibility of customers receiving the People's Business Credit (KUR). There are Several methods that can be used in building a DSS, Including Analytical Hierarchy Process (AHP). The application of the AHP method to the decision support system of people's business credit through a number of processes of data transformation starts from Determining the priority scale of each criterion, to getting the final grade and ranking. In Determining the eligibility of KUR recipient customers, there are Several criteria that are the basis for decision making, Including Credit Status, Productive Business, Business Conditions, Collateral and Collectibility.
Expert System Diagnoses Damage to Injection Motorcycles with the Certainty Factor Method Ginting, Feryanto; Hasugian, Penda Sudarto
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i1.372

Abstract

Motorcycles are the main means of transportation that is widely used to support the activities of their societies. Prior to the development of technology, motorcycles still use carburetors. But motorcycles are still using carburetor system is still quite wasteful. With the development of technology, there is now applying the Yamaha brand motorcycles capable of supplying petrol injection engine needs. Motorcycles injection technology is much more efficient compared to motorcycle carburetor technology, in addition to economical motorcycle of this type has a performance engine and a reliable power. But frequent obstacles that cause damage to the injection Yamaha motorcycle, disrupting users.An expert system is a system that adopts the expertise of an expert an expert in a particular field into the system or a computer program is presented with a display that can be used by a user who is not an expert so that system users can make a decision or set policy like an expert in finishing problem. Certainty factor method used to obtain the value of the certainty of damage from an expert motorcycle injection, so that the user also gets the value of the damage certainty selected symptoms of the experience of experts. The results of diagnostics in expert system that has been made that if the user mencheklis symptoms such as clogged when rotated gas engine, electric distater difficult / lift, lights up when the engine is difficult to use the kick starter, often emit exhaust sound of an explosion, it can be concluded from the analysis that the damage found on the spark plug with a value of MB = 0.99, MD = 0:22 and Certainty Factor value of 76.66%. The diagnosis ever made by a visitor or mechanical accessible again by entering an email to the database.