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All Journal Journal of Information System, Applied, Management, Accounting and Research JUKI : Jurnal Komputer dan Informatika Jurnal Teknologi Informatika dan Komputer Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan SIGMA: Information Technology Journal SAINTEK International Journal of Integrated Science and Technology
Suherman Suherman
Universitas Pelita Bangsa
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences

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Implementasi Algoritma K-Means Dalam Mengkategorikan Produk Terlaris Dan Kurang Laris Pada Toko Alfamart Cikarang Ismasari Nawangsih; Reza Puspita; Suherman Suherman
Jurnal Pelita Teknologi Vol 16 No 1 (2021): Maret 2021
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.789 KB) | DOI: 10.37366/pelitatekno.v16i1.674

Abstract

Availability of goods and completeness of goods in a shop are very importand elements. This is necessary to avoid the accumulation of the same and less desirable goods. This study aims to see the buyer’s interest in a product so that we can ensure the supply and information of the salable or unsold products. The method used in grouping these products use datamining with the K-Means Clustering method so that the best-selling products can be identified. Product data are grouped based on the similarity of the data so that data same value will be in one cluster. Cluster 1 is a product with a slow moving product and with a central point (18.41 10.43) while Cluster 2 is a product with fast stoct movement or fast moving. Product with a center point (44.69 116.00). With the existence of a product stock cluster with each level of stock movement owned, it is posisible to make a reference in predicting produckt supply according to their needs. The test carried out in this research is black box testing. Keywords: Data Mining, K-Means, Cluster, Product
Transaksi Peminjaman & Pengembalian Buku Pada SMA 3 Cikarang Utara Menggunakan Barcode Dengan Metode Waterfall Suherman Suherman; Ramadhan Tirta
Jurnal SIGMA Vol 13 No 1 (2022): Maret 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Application of information technology has now spread almost in all areas is no exception in the library. The need for information technology is closely linked to the role of libraries as a force in the preservation and dissemination of scientific and cultural information. The service and archiving of books data in the library that is manual resulting in slow service and less accurate information of existing book data, toovercome the above problems it requires a library automation system that is able to provide services in library transactions are fast, accurate and efficient. The purpose of this library automation system is to optimize library services in providing services both in lending and return transactions, new book data inputs as well as in book search. The library automation system is created by utilizing barcode scanners as a tool to assist in the process of all transactions in the library. Keywords:Automation, barcode, library
Aplikasi Sistem Ujian Online Pada SMK Negeri 1 Gombong Suherman Suherman; Eko Setiawan
Jurnal SIGMA Vol 12 No 3 (2021): September 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

The online exam process conducted by the State Vocational High School 1 Gombong is still done manually. Utilization of existing technology can be done with online exams with the aim of saving time, costs and energy and can also make it easier for students to obtain test results directly. In this study, an online exam information system was created using PHP as a programming language and MySQL as a database. Whereas in the zero diagram, the system is described as a work between functions that are related to each other with the flow and storage of data. Keywords: Online Exam, PHP and MySQL
Sistem Informasi Ternak Ayam Broiler Berbasis Web Suherman Suherman
Jurnal SIGMA Vol 12 No 1 (2021): Maret 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Abstract Broiler chickens have become excellent in the poultry business in addition to livestock chickens are first done. The interesting thing about broiler business is the harvest time is quite short. In just 40 days broiler chickens can be harvested. This makes the farmers who have limited capital can more quickly turn the capital and reap the benefits. In addition, marketing of broiler chicken meat is quite easy because of the public interest will be meat this one is big enough. But not a few broiler breeders actually lose money and eventually folded, because of lack of knowledge in the field of broiler chickens. The purpose of breeding is a direction that reflects the will of farmers in raising. In this case, what is the hope of the breeder is that it can provide benefits for the breeders themselves. This process starts from the sterilizing process of the cage, the preparation of the place for Doc, the maintenance of Doc until the adult chicken, the provision of drugs, vitamins and vaccines, thinning process, and the harvest process. Processing Data used for receipt of DOC, Feed, and drugs, and the process of harvesting in chicken livestock business is still manual. Therefore the data processing is very slow and less efficient. Keywords : System, Information, Maintenance, DOC, Aya, Broiler
Sistem Otomatisasi Pendetiksi Banjiri Dini Suherman Suherman
Jurnal SIGMA Vol 12 No 2 (2021): Juni 2021
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Rainfall is very high in Indonesia often lead to flooding. Therefore we need a tool or an application to monitor symptoms of the onset of a flood like the Arduino microcontroller. Arduino Uno microcontroller can be connected with a sensor that detects the surrounding conditions, one of which air speed sensors and ultrasonic sensors. This app is designed for early detection of potential flooding at a predetermined point. Data required in this application is a large water velocity, water level and also the position of geographic location measured water velocity. Data altitude and speed of the water is processed with fuzzy algorithms to streamline data delivery. Data speed of the water, the water level, and the position of the location is stored in a database server. The goal is that the data speed of the water, the water level, and geographic position can be read in a web application. To send data to a server, use the HTTP protocol with POST function. Delivery of data preceded by connecting to the server. If the server is available, then the next process is to transfer data using the POST function. The web application will be used by the end user. To get the data speed of the water and the water level, a web application must make requests to the server. When an application sends data to the server, the server will automatically send a response to the client application. The test results showed that the ultrasonic sensors are not able to accurately calculate the height of the water. Keyword : Arduino, Fuzzy, Microcontroller, DetectorFlood, Water Speed Sensor.
Pengembangan Sistem Pakar Diagnosa Penyakit Asma Dengan Metode Forward Chaining Berbasis Android Suherman Suherman
Jurnal SIGMA Vol 11 No 3 (2020): September 2020
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Expert system is a branch of artificial intelligence that learns how to adopt the way an expert thinks and reason in solving a problem, and makes a decision or draws conclusions from a number of facts. Until now there have been several results of the development of expert systems in various fields according to one's expertise. In this study a system application will be designed experts to diagnose asthma. The development of an expert application system for asthma diagnosis is one of the applications of a computerized system in the field of medicine. The aim of this research is to develop a medical knowledge-based system in diagnosing asthma that can be displayed in expert system-based application software. So that it can simplify the counseling process for ordinary people to know the early detection of symptoms of asthma and solutions or treatments that can be done independently. The reasoning of this expert system application uses forward chaining inference techniques. Where in this forward chaining begins with the initial information (initial symptoms) and moves forward to match further information until finding information in accordance with the rules, then will conclude in the form of a description of the type of disease and solution. In developing expert systems, conventional approaches to methodology will be used Expert System Development Life Cycle (ESDLC) from Durkin (1994). The results of this research are the application of an expert system for diagnosing asthma has facilities that can help extension workers in providing counseling to the public to find out early detection of symptoms of asthma, based on the type of asthma that attacks and solutions or ways of treatment that can be done independently. Keywords : ESDLC, forward chaining, asthma, expert system.
Analisa Data Mining Untuk Prediksi Penyakit Kanker Paru Dengan Algoritma Regresi Linear Suherman Suherman; Faris Muammar; Irfan Afriantoro
Jurnal SIGMA Vol 13 No 3 (2022): September 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

Lung cancer often causes no symptoms in its early stages. New symptoms appear when the cancer is large enough or has spread to surrounding tissues and organs. So that patients with lung cancer will only feel pain after the cancer spreads to the pleural layer, the thin layer that covers the lungs. This study aims to analyze lung cancer in early prevention. This study uses prediction techniques and stages in data mining to predict data on patients suffering from lung cancer with a linear regression algorithm method using rapidminer tools. training and 10% data testing. The results of the tests that have been carried out show that the variables or attributes used in this study (age, smoking, and test results) have a significant effect on this study, as evidenced by using a linear regression algorithm to provide good results with a Root Mean Squared Error value: 0.379 +/- 0.000 and Squared Error: 0.144 +/- 0.229. The conclusion of the research conducted by applying the linear regression algorithm can be made a prediction based on the functional relationship on the variables or attributes in the data. Keywords: Lung cancer, linear regression algorithm, Rapidminer
Sistem Pendukung Keputusan Supplier Terbaik Menggunakan Metode Simple Additive Weighting Pada PT.GSEI Suherman Suherman; Andriani Andriani; Muhammad Fatkhul Mutaqin
Jurnal Pelita Teknologi Vol 15 No 1 (2020): Maret 2020
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (735.83 KB) | DOI: 10.37366/pelitatekno.v15i1.283

Abstract

Decision Support System is basically made to facilitate decision-making in order to avoid making subjective manner. At GS ElectechIndonesia PT best supplier decision-making process in made using Simple Additive Weighting method (SAW), which consists of several criteria : criteria Benefit and criteria Cost. In building this system the author uses the method System Development Life Cycle Waterfall or waterfall method, and for design author using Unified Modeling Language (UML). For the making of the application, writer using C# programming language and the MySQL database and to test using the method of Black Box Testing. The result of this research is a decision support applications using Simple Additive Weighting Method (SAW), which is used on PT.GSEI for the best supplier selection.
Perbandingan Metode Algoritma Naïve Bayes dan C4.5 dalam Menentukan Penilaian Kinerja Karyawan Terbaik Suherman Suherman; Irfan Afriantoro; Slamet Mujiono
Jurnal Teknologi Informatika dan Komputer Vol 9, No 1 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i1.1605

Abstract

Karyawan terbaik merupakan salah satu asset perusahaan dan menjadi tolak ukur untuk kemajuan perusahaan itu sendiri. Dalam penilaian biasanya dengan mengevaluasi kinerja karyawan tersebut misalnya dari aspek kerajinan, kedisiplinan dan dari aspek prestasi lainnya. Penentuan karyawan terbaik sebelumnya masih kurang efektif. Hasil penilaian karyawan akan dimanfaatkan dan dievaluasi oleh pihak manajemen sebagai pengelola perusahaan. Banyaknya parameter dalam menentukan penilaian kinerja karyawan terbaik, menyebabkan ketepatan dan kecepatan dalam penilaian kerja kurang terpenuhi. Metode klasifikasi data mining merupakan sebuah teknik yang dilakukan untuk menghitung class atau label, menghitung jumlah kasus yang sama dengan class yang sama, mengalikan semua hasil variabel, membandingkan hasil class dengan hasil terbesar yang akan dijadikan pertimbangan untuk memutuskan karyawan terbaik. Algoritma klasifikasi yang sering digunakan dan mendapat banyak perhatian para peneliti dalam menetukan penilaian kinerja karyawan adalah algoritma Naïve Bayes dan algoritma C4.5. Perbandingan accuracy dari kedua algoritma dan hasil tertinggi akan menjadi hasil akhir. Dari 180 dataset dibagi menjadi 80% (144 data) training dan 20% (36 data) testing yang memiliki nilai accuracy tertinggi yaitu 85.07%. Hal ini menunjukkan bahwa algoritma Naive Bayes memiliki performa yang sangat baik dalam menentukan penilaian kinerja karyawan terbaik sehingga dapat di implemetasikan untuk proses pengambilan keputusan bagi perusahaan.
PENGEMBANGAN SISTEM INFORMASI PERSEDIAN BARANG BERBASIS DESKTOP DENGAN METODE RAD PADA CV MENEMBUS BATAS Farid Wajdillah; Suherman Suherman; Muhammad Makmun Effendi
JISAMAR (Journal of Information System, Applied, Management, Accounting and Research) Vol 7 No 3 (2023): JISAMAR (Agustus 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v7i3.1141

Abstract

In the era of globalization and increasingly fierce business competition, the company's operational efficiency is an important key in achieving greater profits. Good and effective inventory management is one of the factors that affect operational efficiency. CV Menembus Batas, a plastic waste recycling company, faces efficiency problems due to the use of manual systems in processing inventory data. This leads to slow data processing processes, inventory miscalculations, and other problems. To overcome this problem, CV Menembus Batas needs to implement the development of a desktop-based inventory information system with the Rapid Application Development (RAD) method. With an integrated information system, companies can speed up the data processing process, improve inventory control, facilitate report generation, and improve the right decision making. The implementation of this inventory information system can improve CV Menembus Batas operational efficiency and provide accurate and fast information.
Co-Authors Andriani Andriani Aswan S. Sunge Donny Maulana Eko Setiawan Farid Wajdillah Faris Muammar Hendrian Nunggu Irfan Afriantoro Mico Giovanni Dermawan Mohamad Farizal Arifin Farizal Muhamad Fatchan Muhamad Fatchan Muhammad Fatkhul Mutaqin Muhammad Makmun Effendi Muhtajuddin Danny Nawangsih, Ismasari Nurcholis Majid Nurhidayanti, Nisa Ramadhan Tirta Reza Puspita Reza Suryadi Gunawan Rifendtia Rifendtia Slamet Mujiono Vivi Mustikaningtyas Wahyu Hadikristanto