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PERANCANGAN SISTEM PAKAR TIPE KEPRIBADIAN MENGGUNAKAN METODE FORWARD CHAINING BERBASIS WEB Darmansah Darmansah Darmansah; Ilham Chairuddin; Tomy Nanda Putra
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 8 No 3 (2021): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v8i3.1033

Abstract

Psychology is a science in the field of health that studies the behavior or personality of an individual (human). There are many ways that individuals can use to see their personality, one of which comes to a psychologist. This of course makes time inefficient because visiting a psychologist to find out his personality is also not cheap. Seeing this, the researcher made an expert system design that can be used by all individuals to be able to find out their personality type, both strengths, weaknesses, and what the suitable job of a personality type is. Expert system is a system that translates and takes decisions of an expert in their field into a system that can be implemented by humans. The method that researchers use in this case is forward chaining and web-based. The forward chaining method is a method that traces the data entered at the beginning and then will produce or issue a result or conclusion. With the construction of this system, an individual can easily find out the type of personality he has as well as the strengths, weaknesses and jobs that match the type he has without having to visit a psychologist. In general, there are four (four) personality types that an individual has, namely choleric, plagiarism, sanguine and melancholy.
SISTEM INFORMASI RIWAYAT PERJALANAN (SIRP) MASYARAKAT DIMASA PANDEMI BERBASIS WEBSITE (Studi Kasus: Kecamatan Sungai Geringging) darmansah darmansah; Tomy Tomy Nanda Putra; Willi Novrian Willi Novrian
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.v4i2.1930

Abstract

The Corona virus or covid-19 began to appear in wuhan china at the end of 2019. Until now the corona virus has been a disease that has spread tremendously in countries in the world, none of which is Indonesia. To prepare accurate and reliable information in order to suppress the spread of the corona virus in Indonesia, an information system is needed. The Sungai Geringging District Government is a government in Padang Pariaman Regency which is currently collecting data on the travel history of its people during the pandemic manually or has not maximized computerization and technology. This of course makes the sub-district government in recording data, managing community data entering and leaving the government environment ineffective and inefficient. To assist the Sungai Geringging District Government in collecting data and disseminating information, it is necessary to build a website-based SIRP (Travel History Information System) information system. In designing this SIRP (Travel History Information System) the researcher used UML (Unified Modeling Language) modeling. In this study, UML was used to facilitate researchers when designing the system to be made. The method that researchers apply in this study is the prototyping method. With the construction of the Travel History Information System (SIRP) during the pandemic, it is hoped that the Sungai Geringging District Government can easily manage community data that enters and exits the government environment. In addition, the public can easily find out information on how many people are under surveillance (ODP) and people without symptoms (OTG) and other information related to the corona virus.
Pemanfaatan IT Dalam Peningkatan Kompetensi Pengembangan Bahan Ajar Studi Kasus: SMKS Teknologi Industri Pinggir Darmansah; Budy Satria; Leonard Tambunan; Tomy Nanda Putra
J-PEMAS - Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2023): Jurnal Pengabdian Masyarakat J_PEMAS
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/j-pemas.v4i1.942

Abstract

Teknologi sudah menjadi hal yang sangat penting saat ini di indonesia. Teknologi sudah berkembang di semua aspek ke hidupan, tidak hanya dalam aspek social, budaya dan bisnis, tetapi juga dalam berbagai aspek lainnya, seperti dalam aspek pemerintahan dan Pendidikan. Dalam aspek Pendidikan Teknologi perperan penting dalam upaya menciptakan metode metode pembelajaran yang inovatif. Seperti pembuatan video, audio dan animasi dalam penyampakan pembelajaran oleh pendidik. SMKS Teknologi Industri Pinggir salah satu lembaga Pendidikan yang saat ini belum memaksimalkan menerapkan IT dalam proses pembuatan media pembelajaran. Pembelajaran saat ini dilakukan dengan cara menyampaikan materi ajar ke peserta didik dengan cara membacakan materi atau dengan cara ceramah. Oleh karena itu diadakan pelatihan dalam program pengabdian kepada masyarakat oleh tim dosen Institut Teknologi Mitra Gama. Metode yang digunakan dalam pelatihan ini adalah menggunakan metode ceramah, diskusi dan praktek pembuatan media pembelajaran inovatif yang menggunakan Teknologi Informasi. Dengan dilakukan pelatihan ini para pendidik dapat lebih memaksimalkan kompetensi didalam membuat media pembelajaran yang kreatif dan inovatif dimasa yang akan datang guna untuk memaksimalkan potensi siswa dalam belajar. Dalam kegiataan ini didapat hasilnya adalah para pendidik tertarik dan bisa mengikuti pelatihan dengan baik dibutikan dengan hasil survei kepuasan mencapai 98%
Klasifikasi Kualitas Jagung Terhadap Data Percobaan Penanaman dengan Metode Decision Tree Tomy Nanda Putra; Darmansah Darmansah; M Yoka Fathoni
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5495

Abstract

Corn is one type of plant that is widely cultivated in Indonesia because it has a high enough price, especially the need for this plant. This plant is used as a substitute for carbohydrates and protein after rice, is also used as feed ingredients for livestock. This lack of corn production is caused by several factors such as the age of trees, fertilizers and pests. The impact that occurred was a decrease in corn production at a time when there were many needs of the company and the community would corn. The corn data processed in this study were sourced from the Department of Horticultural Food of Pasaman Regency and the owners of corn crops. Furthermore, the data is processed using the Rapid Miner software. Aimed to find out the prediction of the quality of the corn planting experiment. The method used in solving this problem is C4.5 Algorithm. From the testing of this method, it was found that two predictions in corn cultivation were ‘good and‘ not good. This analysis makes it easier for farmers to plant corn, especially in the selection of seeds to fertilize them so as to produce good fruit for consumption
Workshop Pengenalan 4 Konsep Smart Village Dalam Menuju Sudagaran Sebagai Desa Cerdas Darmansah; Sarah Astiti; Resad Setyadi; Tomy Nanda Putra; Budy Satria
Dedikasi Sains dan Teknologi (DST) Vol. 3 No. 1 (2023): Dedikasi Sains dan Teknologi : Volume 3 Nomor 1, Mei 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v3i1.2187

Abstract

Seiring menuju revolusi industri 5.0 maka beberapa desa di indonesia sudah mempersiapkan diri untuk menuju sebuah desa digital atau Smart Village. Sebuah desa cerdas atau Smart Village bisa dikatakan desa cerdas apabila desa tersebut secara inovatif menggunakan teknologi informasi untuk mencapai peningkatan kualitas hidup masyarakatnya, efisiensi dan daya saing dalam aspek ekonomi, sosial dan lingkungan yang terdapat pada suatu desa tersebut. Desa sudagaran adalah sebuah desa yang terletak dikabupaten banyumas provinsi jawa tengah. Pemerintah desa sudagaran berkomitmen ingin menjadikan desa tersebut bisa menjadi desa cerdas atau desa digital, hal ini untuk menunjang atau mendukung Kabupaten Banyumas ingin menjadi sebuah Kota yang cerdas atau Smart City. Maka dari itu tim pengabdian kepada masyarakat melakukan workshop kepada pemerintah desa sudagaran dalam upaya mempersiapkan desa sudagran menjadi desa digital. Pada pengabdian kepada masyarakat ini, tim menjelaskan 4 konsep utama smart village yaitu Smart Governance, Smart People, Smart Environment dan Smart Economy. Dengan di adakanya pengabdian kepada masyarakat ini bisa membantu pemerintah desa sudagaran dalam mempersiapkan desa sudagaran menuju Smart Village.
Penerapan Metode K-Means Clustering Dalam Pengelompokan Kualitas Tamanan Jeruk Manis Hafiz Mursalan; Darmansah; Tomy Nanda Putra; Budy Satria
Jurnal ICT: Information Communication & Technology Vol. 23 No. 1 (2023): JICT-IKMI, Juli 2023
Publisher : LPPM STMIK IKMI Cirebon

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

Abstract

Sweet orange is characterized by leaf stalks that have wings and white flowers. Sweet orange plants have stems that can reach a height of 6 m, have many branches, round leaf crowns, and bear fruit once a year. Sweet orange fruit has a round or almost round shape, is large, has strong stems, has a fruit skin that is green to shiny yellow. Sweet oranges contain pectin enzymes which function to reduce LDL (Low Density Lipoprotein) or bad cholesterol, reduce blockage of arteries and reduce the risk of heart disease. Sweet orange fruit also contains flavonoids which can increase the effectiveness of vitamin C and strengthen the walls of blood vessels. One sweet orange fruit contains 16 g of carbohydrates which contain 70 calories and fiber which is equivalent to 12% needed by the body. The lack of sweet orange production is due to virus or pest attacks, some planting centers have experienced a decrease in production. The impact that occurs is a decrease in sweet orange production at a time when there is a lot of demand for sweet oranges by companies and the community. The sweet orange data processed in this study came from the Department of Agriculture and farmer groups in Gunuang Omeh District, 50 Kota District. Furthermore, the data is processed using the Rapid Miner software. Aims to determine the results of the prediction of the quality of the sweet orange planting experiment. The method used to solve this problem is the K-Means clustering algorithm. The K-Means clustering algorithm is a method that attempts to classify existing data into several groups, where data in one group have the same characteristics as each other and have different characteristics from data in other groups. From testing this method, three groups were found in the cultivation of sweet oranges, namely 'good' (can be used as a benchmark for planting sweet oranges so that they can produce good fruit when harvested), 'moderate' (still in the evaluation stage so that it can be good but still usable). for planting trials even though the results are not optimal) and 'not good' (can be used as a reference in order to evaluate the planting structure of sweet oranges in order to anticipate losses during harvest). From the results of the analysis using the K-Means clustering algorithm with the use of the Rapidminer Studio application, three clusters were found, namely C0 with poor results influenced by the age of the seedlings, C1 with moderate results with the influence of spacing and C2 with good results which were influenced by the use of pesticides, the use of organic fertilizers and hoarding.
Penerapan Algoritma C.45 Dalam Pengklasifikasian Data Penjualan Gerai Makanan Cepat Saji Berbasis Website Darmansah Darmansah; Willi Novrian; Tomy Nanda Putra; Budy Satria
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4405

Abstract

With the development of technology, there are many methods that can be used to analyze various kinds of problems, both in the world of education, social and even the business world. One method that can be used is the data mining method. Fast food is one example of a business that is being built by many people today, especially in the city of Batam. With so many fast food outlets in the city of Batam, this study aims to classify the types of food that are in demand and not in demand in the city of Batam. To assist the writer in classifying the best-selling and not-selling food types, in this study the authors used the data mining method, namely applying the C.45 Algorithm approach. Apart from using the C.45 Algorithm to test the calculation results, the author uses a website-based information system. From the research that has been carried out, the results obtained are that the best-selling food for children is the Original Burger (BO) and for adults the best-selling type of food is Kebab (K), while the less popular type of food for all ages is Burger Crispy.
SOSIALISASI REVOLUSI INDUSTRI 4.0 TERHADAP BIDANG PERKANTORAN PADA SISWA JURUSAN OTKP DI SMKS TEKNOLOGI INDUSTRI PINGGIR Budy Satria; Adi Prastya; Irzon Meiditra; Budi Permana Putra; Dori Gusti Alex Candra; Nurdi Afrianto; Tomy Nanda Putra; Darmansah
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 2 No. 1 (2024): Februari
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v2i1.341

Abstract

Perkembangan zaman di era industri 4.0 ditandai oleh adanya teknologi yang semakin cepat. Dampak dari era ini sangat berkaitan terhadap kehidupan, pekerjaan dan interaksi dengan teknologi. Saat ini, permasalahan yang sedang dihadapi dari sisi sumber daya manusia (SDM) adalah tuntutan percepatan beradaptasi dalam menghadapi perubahan zaman, karena dengan adanya perkembangan ilmu pengetahuan dan teknologi menyebabkan perubahan besar sehingga terjadi suatu Revolusi Industri yang memiliki pengaruh terhadap semua lini kehidupan. Pelaksanaan kegiatan pengabdian kepada masyarakat (PKM) ini dilakukan atas dasar pentingnya generasi pelajar memiliki pengetahuan, kesiapan dan kemampuan untuk beradaptasi terhadap perkembangan zaman yang selalu mengalami perubahan. Selain itu, pelaksanaan kegiatan pengabdian kepada masyarakat (PKM) pada siswa SMKS Teknologi Industri Pinggir dilatarbelakangi oleh lulusan dan persaingan kerja yang semakin ketat di masa revolusi industri 4.0 menuntut setiap individu untuk memiliki daya saing yang tinggi dalam dunia kerja dengan memiliki kompetensi. Peserta pada kegiatan ini adalah seluruh siswa mulai dari kelas X s.d XII pada jurusan Otomatisasi Tata Kelola Perkantoran. Pelaksanaan kegiatan Pengabdian kepada Masyarakat (PKM) selesai dilakukan pada tanggal 25 September 2023 selama 1 hari dan dapat disimpulkan bahwa kegiatan ini sangat bermanfaat khususnya bagi seluruh pihak SMKS Teknologi Industri Pinggir. Bagi para peserta seperti siswa di jurusan Otomatisasi Tata Kelola Perkantoran (OTKP) yang awalnya minim pengetahuan tentang era Industri 4.0 dengan adanya kegiatan ini menambah peningkatan pengetahuan, kesiapan dan adaptasi agar tetap bisa bersaing dengan lulusan SMK lainnya saat nanti telah lulus sekolah