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Sistem Pendukung Keputusan Menentukan Siswa Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Supriadi, Asmadi; Nugroho, Agung; Romli, Ikhsan
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol 2 No 1 (2018)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (618.034 KB) | DOI: 10.31961/eltikom.v2i1.39

Abstract

Sistem Pendukung Keputusan pada dasarnya dibuat untuk memudahkan dalam pengambilan keputusan agar tidak terjadi pengambilan keputusan secara subjektif. Pada RA Raudlatush Shibyan, proses pengambilan keputusan siswa terbaik dibuat menggunakan metode Simple Additive Weighting (SAW) yang terdiri dari beberapa kriteria yaitu : kriteria Afektif, kriteria Kognitif, dan kriteria Psikomotorik. Dalam membangun sistem ini penulis menggunakan metode pengembangan menggunakan metode System Depelopment Life Cycle waterfall atau metode air terjun, dan untuk desain sistem penulis menggunakan Unified Modelling Language (UML). Untuk pembuatan aplikasi penulis menggunakan Bahasa pemograman C# dan database MySQL dan untuk pengujiannya menggunakan metode Black Box Testing. Hasil dari penelitian ini adalah sebuah aplikasi pendukung keputusan menggunakan metode Simple Additive Weighting (SAW).
Monitoring and assembly of internet of things-based solar power plants Ikhsan Romli; Muhammad Arif Hidayat; Candra Naya
Jurnal Teknika Vol 17, No 2 (2021): Available Online in November 2021
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/tjst.v17i2.12358

Abstract

Electricity is a major need in the industrial era 4.0, where almost all human activities use electricity both at home and in companies. Not all of the electricity needs can be met by the state electricity company. Therefore, alternative energy sources are needed to be used as power plants to meet the huge demand for electricity by paying attention to safety. Because it is located in the tropics, the potential for solar energy in Indonesia is very large, in the range of 4.8KWh/m2 equivalent to 112,000 GWp which can be used as an alternative energy source for electricity generation using solar panels. Meanwhile, the security system for solar power plants can utilize internet of things technology so that it can be monitored anytime and anywhere by accessing a website that has been created using the codeigniter framework. The tools used as a monitoring system include Arduino uno R3, nodeMCU ESP8266, voltage sensors, acs712 sensors, and so on. While the software used is Arduino IDE which has been installed on a computer or laptop and uses a web browser. The method used in this study is the prototyping method. Starting from determining which tools are needed, which is then made into a prototype tool with a small capacity and continued to make a monitoring system for security in the form of tools and websites. Listrik merupakan kebutuhan utama di era industri 4.0, dimana hampir semua aktivitas manusia menggunakan listrik baik dirumah maupun di perusahaan. Kebutuhan listrik tersebut belum semuanya dapat dipenuhi oleh perusahaan listrik negara. Oleh karena itu diperlukan sumber energi alternatif untuk dijadikan sebagai pembangkit listrik untuk memenuhi kebutuhan listrik yang sangat banyak dengan memperhatikan keamanannya. Karena terletak di daerah tropis, potensi energi surya yang ada di Indonesia sangatlah besar, yaitu kisaran 4,8 KWh/m2 setara 112.000 GWp yang dapat dijadikan sebagai sumber energi alternatif pembangkit listrik dengan menggunakan panel surya. Sedangkan dalam sistem keamanan pembangkit listrik tenaga surya dapat memanfaatkan teknologi internet of things sehingga dapat di awasi kapanpun dan dimanapun dengan mengakses website yang telah dibuat menggunakan framework codeigniter. Alat-alat yang digunakan sebagai sistem monitoring diantaranya yaitu Arduino uno R3, nodeMCU ESP8266, sensor tegangan, sensor acs712, dan lain sebagainya. Sedangkan software yang digunakan yaitu Arduino IDE yang sudah di install pada komputer atau laptop dan menggunakan web browser. Metode yang gunakan pada penelitian ini yaitu metode prototyping. Dimulai dari penentuan alat sesuai dengan yang dibutuhkan, yang kemudian dibuat menjadi prototype alat dengan kapasitas kecil dan dilanjutkan membuat sistem monitoring untuk keamanan berupa alat dan websitenya.
PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA K-MEANS UNTUK KLASIFIKASI PENYAKIT ISPA Ikhsan Romli
Indonesian Journal of Business Intelligence (IJUBI) Vol 4, No 1 (2021): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Program Studi S1 Sistem Informasi Fakultas Komputer dan Teknik Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v4i1.1727

Abstract

With the rapid development of technology in all fields, from the government, education, agriculture and especially in the health sector, technology can provide fast and accurate information for health teams, doctors, nurses and even patients themselves to make it easier to control their own health. Acute Respiratory Infections (ARIs) are diseases of the upper or lower respiratory tract, usually contagious, that can cause a wide spectrum of diseases ranging from asymptomatic illness or mild infections to severe and deadly illness, depending on the causative pathogen, environmental factors and factors host. The purpose of this study was to apply the K-Means method to classify ARI diseases and to obtain accurate and fast accuracy in classifying symptoms of ARI using the K-Means method. The method used is data mining techniques using the K-Means algorithm. This process resulted in 3 clusters, namely cluster C1 (Regular ISPA) with 81 members, cluster C2 (moderate ISPA) with 103 members, and cluster C3 (Heavy ISPA) with 66 members. It can be seen that the largest number of ARI patients are patients with mild ARI symptoms. Based on the results of the percentage analysis for each cluster, the first cluster has a percentage of 35% of data, the second cluster is 45% of data and the third cluster is 20% of data. Testing using the DBI (Davies Bouldin Index) validation obtained values for each cluster. Testing cluster 1 produces DBI value -0.244, cluster 2 DBI value -0.250, cluster 3 DBI value -0.239. Because the DBI value of cluster 3 is smaller, the cluster can be called optimal.
Implementasi Sistem Pakar menggunakan Metode Certainty factor Untuk Mendiagnosa Penyakit Herpes Zoster Romli, Ikhsan; Romansyah, E; Permana, Andika
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 4, No 2 (2020): JTIK
Publisher : KITA Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v4i2.158

Abstract

Herpes Zoster is a skin disease that is very difficult to treat and everyone can certainly experience it, the characteristics of this disease are characterized by unilateral vesicles in groups with pain characterized by radicular around the dermatome. This study aims to establish a Web-based Certainty factor method as a tool to diagnose skin diseases. With this application, it doesn’t need long time to find out what type of herpes zoster is suffering. To use this application  is that the patient answers the questions which are provided by the system, then the system will process all the patient answers using the certainty factor method, after that, the system will produce output as the results of the diagnosis of the type of shingles. The system built can help patients to know the type of disease that is being suffered by the patients and in accordance with expert analysis of skin diseases.Keywords:Certainty factor, Herpes zoster, web.
Sentiment Analysis about Large-Scale Social Restrictions in Social Media Twitter Using Algoritm K-Nearest Neighbor Romli, Ikhsan; Prameswari R, Shanti; Kamalia, Antika Zahrotul
JOIN (Jurnal Online Informatika) Vol 6, No 1 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i1.670

Abstract

Sentiment analysis is a data processing to recognize topics that people talk about and their sentiments toward the topics, one of which in this study is about large-scale social restrictions (PSBB). This study aims to classify negative and positive sentiments by applying the K-Nearest Neighbor algorithm to see the accuracy value of 3 types of distance calculation which are cosine similarity, euclidean, and manhattan distance for Indonesian language tweets about large-scale social restrictions (PSBB) from social media twitter. With the results obtained, the K-Nearest Neighbor accuracy by the Cosine Similarity distance 82% at k = 3, K-Nearest Neighbor by the Euclidean Distance with an accuracy of 81% at k = 11 and K-Nearest Neighbor by Manhattan Distance with an accuracy 80% at k = 5, 7, 9, 11, and 13. So, in this study the K-Nearest Neighbor algorithm with the Cosine Similarity Distance calculation gets the highest point.
Sistem Informasi Pergudangan Pada Cv. Cokro Dengan Model Pengembangan Sistem Waterfall Ikhsan Romli; Ikfal Setiawan
Jurnal SIGMA Vol 9 No 1 (2018): Volume 9 Nomor 1 September 2018
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (493.353 KB)

Abstract

Abstraksi Di zaman yang semakin modern ini, perkembangan ilmu pengetahuan dan teknologi semakin pesat, apalagi informasi sekarang ini sangat cepat menyebar ke penjuru dunia. Sejalan dengan hal tersebut permasalahan yang ada pada perusahaan juga semakin kompleks dalam kehidupan sehati-hari. Dengan kenyataan ini kita dituntut untuk menyelesaikan permasalahan yang ada dengan memanfaatkan kecanggihan teknologi serta kecepatan, ketepatan dan keakuratan dalam memberi informasi sehingga dalam melaksanakan pekerjaan kita mendapatkan hasil yang optimal. Salah satunya adalah pemanfaatan teknologi komputer. Penjualan merupakan salah satu aktivitas bisnis penting yang dilakukan oleh perusahaan untuk dapat memperoleh laba yang merupakan tujuan utama dari sebagian besar perusahaan. Untuk dapat melaksanakan kegiatan penjualan dengan baik, setiap pemilik usaha perlu memiliki sebuah sistem yang baik dan terkendali dengan alur yang jelas. Maka berdasarkan uraian diatas, sangat menarik untuk melakukan sebuah penelitian terhadap toko ibu sum guna mendukung dan meningkatkan kinerja dan efisiensi dalam melakukan penjualan produknya Kata kunci: PHP, MySQL , Point Of Sales
Preventive maintenance pada mesin die casting dengan age replacement model untuk peningkatan reliabilitas mesin Andriani Andriani; Ikhsan Romli
Operations Excellence: Journal of Applied Industrial Engineering Vol 12, No 1, (2020): OE Maret 2020
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2020.v12.i1.001

Abstract

In an industry, the maintenance department plays a very important role in ensuring the smooth production process. The method of machine maintenance with preventive maintenance is a strategy that can be used to repair existing machines. This is related to proper and regular maintenance can improve engine performance and reduce the level of engine damage which will increase the continuity of production activities. In the die casting division of PT Astra Honda Motor in the observation on the die casting machine 07 there were 45 times damage to the ladle component and 11 times the damage to the auto spray component. These two components are critical components of the 07 die casting machine. After testing the compatibility index and the good compatibility of the damage time data and repair time data to obtain distribution data distribution patterns, obtain the tablespoon component MTTF assessment results of 107,833 hours and auto spray components amounting to 314,226 hours. Whereas the MTTR value of the spoon component is 0.385 hours and the auto spray component is 0.766 hours. The next step is to look for critical component replacement time intervals with the age replacement model, to further review whether it is related to increased reliability, decrease in total downtime, and cost savings before preventive maintenance is carried out and after preventive maintenance is carried out.
Penentuan Jadwal Overtime Dengan Klasifikasi Data Karyawan Menggunakan Algoritma C4.5 Ikhsan Romli; Ahmad Turmudi Zy
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.260

Abstract

Technological development and scientific advancement are very important and influential parts of all fields. With the development and advancement of technology, being experts in a field is a must because it is required to know more and learn about the technology that is currently developing. Information technology and informatics are needed to support performance. Large and small companies also need fast and accurate information to make easier decisions making. Therefore, data mining classification techniques are needed to solve these problems. The classification used in data mining is a Decision tree because it is a technique that is widely used and produces output with existing rules so that it can present employee data to determine the overtime schedule. This study uses the C4.5 algorithm to determine the overtime schedule. The test results of the overtime schedule with the C4.5 algorithm with the Confusion matrix have good accuracy, precision, and recall values, namely 91% accuracy, 86.05% precision, and 92.5% recall.
PERANCANGAN DAN IMPLEMENTASI SMART GARDEN BERBASIS INTERNET OF THINGS (IOT) PADA PERUMAHAN CENTRAL PARK CIKARANG Ikhsan Romli; Kristoforus Lensiprimo Nong Hugo; Irfan Afriantoro
Indonesian Journal of Business Intelligence (IJUBI) Vol 4, No 2 (2021): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Program Studi S1 Sistem Informasi Fakultas Komputer dan Teknik Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v4i2.1974

Abstract

Technological developments, especially in agriculture and plantations in era 4.0, have greatly increased over time. One of them is in terms of plant care. Plant care is one of the activities carried out to keep plants fertile and healthy. Moreover, in the dry season plant care is very important to do such as, doing watering periodically in accordance with the right time, and also light lighting must be in accordance with the needs of the plant. In this writing, researchers designed a tool that can respond to and work on commands that have been sent, and also reply to messages about the information displayed on the blynk application. Smart Garden Tools It uses NodeMCU 8266 as a controller as well as a soil moisture sensor as a soil moisture detector, and DHT11 as a temperature and humidity sensor. The results of this study are to minimize the occurrence of damage to plants, make it easier for residents to control and monitor the condition of the house in real time, and also to improve the quality of plants in order to grow properly.
Implementasi Sistem Pakar menggunakan Metode Certainty factor Untuk Mendiagnosa Penyakit Herpes Zoster Ikhsan Romli; E Romansyah; Andika Permana
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 4 No 2 (2020): JULY-DECEMBER 2020
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v4i2.158

Abstract

Herpes Zoster is a skin disease that is very difficult to treat and everyone can certainly experience it, the characteristics of this disease are characterized by unilateral vesicles in groups with pain characterized by radicular around the dermatome. This study aims to establish a Web-based Certainty factor method as a tool to diagnose skin diseases. With this application, it doesn’t need long time to find out what type of herpes zoster is suffering. To use this application  is that the patient answers the questions which are provided by the system, then the system will process all the patient answers using the certainty factor method, after that, the system will produce output as the results of the diagnosis of the type of shingles. The system built can help patients to know the type of disease that is being suffered by the patients and in accordance with expert analysis of skin diseases.