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All Journal JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Informatika Kaputama (JIK) Jurnal Mantik Juriti Prima (Jurnal Ilmiah Teknik Industri Prima) JURNAL MAHAJANA INFORMASI IT (INFORMATIC TECHNIQUE) JOURNAL Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM INFOSYS (INFORMATION SYSTEM) JOURNAL JURNAL MITRA PRIMA Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat
Siti Aisyah
Fakultas Teknologi Dan Ilmu Komputer Universitas Prima Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy 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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Veterinary

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SISTEM PENDUKUNG KEPUTUSAN GURU BERPRESTASI DI GLOBAL PRIMA NATIONAL PLUS SCHOOL Siti Aisyah; Nur Siska; Yuni Dame Ria Sinurat; Melissa Melissa; Sugiarto Sugiarto
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 2 No 1 (2019)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.975 KB) | DOI: 10.37600/tekinkom.v2i1.98

Abstract

To support quality education with a purpose to educate the generation of the nation, the thing to note is the quality of a teacher where it serves as a channel for delivering education / the teaching. Therefore, to know the quality, it needs to be held a selection of outstanding teachers with the aim of encouraging and motivating teachers for integrity, ready to compete and high quality. Based on these problems then this study aims to design a system decision support for the selection of outstanding teachers at Global Prima National Plus School Medan. The method used is Simple Additive Weighting (SAW). There are five criteria that the author uses namely Discipline, Achievements, Responsibilities, Initiatives and Presence. The research was conducted with looking for weight values for each criterion, then ranking process which determines the outstanding teacher in the case study.
PENGOLAHAN DATA EKSPOR TERHADAP RAGAM PRODUK KELAPA SAWIT MENGGUNAKAN METODE ASSOCIATION RULES Robert Robert; Siti Aisyah; Sasmita Rahmawati Zebua
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 1 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i1.735

Abstract

Palm oil is used as a raw material for producing cooking oil, industrial oil, and fuel. Indonesia is the largest producer of palm oil in Indonesia. One of a company engaged in the production of palm oil is PT Permata Hijau Group. The company produces a wide range of palm oil products from from Palm Oil, Lauric Oil, Biodiesel, and Fatty Acid Oleo. Look at the variety of products palm oil marketed by PT Permata Hijau Group, it is necessary to do so decision making on palm oil product data. Data mining is applied using the Association Rules method to get support and confidence values, where export data processed using this method can determine which particular refined palm oil products are best-selling in the international market. With the Association Rules method, it is hoped that it can help provide an overview for a company in determining the amount of production of certain types of refined palm oil, so crises or excesses of certain processed palm products can be avoided. In this study, the results of data visualization using the Python Library (Matplotlib & Seaborn), products with the item set Glycerine→Stearic Acid and Glycerine-RBDPO→Stearic Acid are the combination of Association Rules that appear most frequently, with 100%. Whereas the combination HPKO→Stearic Acid meets the Association Rules with a value of 94%, RBDPO-HPKO→Stearic Acid and Fatty Acid- HPKO→Stearic Acid with 90%, Glycerine→RBDPO, Glycerine→RBDPO-Stearic Acid, and Glycerine Stearic Acid→RBDPO with 88%, HPKS→Stearic Acid and RBDPO-Fatty Acid→Stearic Acid with 83%. Therefore, processed coconut Palm Glycerine, RBDPO, Stearic Acid, Fatty Acid, HPKO, and HPKS is a product that satisfies the rules of the association so this result can assist the company in determining the amount of product production given the demand for a combination of various processed coconut products of the palm oil, is higher than the variety of refined palm oil other products.
Sistem Pakar Untuk Mendignosa Penyakit Pada Tanaman Bawang Merah Berbasis Web Siti Aisyah; Ayu Rosalya Sagala; Delima Sitanggang
Jurnal Informatika Kaputama (JIK) Vol 1 No 2 (2017): Volume 1, Nomor 2, Juli 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v1i2.446

Abstract

Dalam mendiagnosa penyakit tanaman bawang merah seorang pakar memerlukan data berupagejala-gejala yang sedang dialami oleh petani.Gejala-gejala ini dapat dilakuakan dengan melihat kondisi tanaman bawang merah tersebut.Sebagai seorang manusia yang memiliki keterbatasan, begitu juga dengan seorang pakar tanaman bawang merah tentunya memiliki kelemahan. Apabila terdapat penyakit bawang merah baru atau lupa tentang jenis penyakit dan pengobatan nya, maka seorang ahli pakar akan mencari kembali buku-buku atau dokumen-dokumen yang membahas tentang penyakit bawang merah tersebut. Cara ini tentu saja akan memakan waktu yang lama. Penelitian ini bertujuan untuk merancang sistem pakar untuk mendiagnosa penyakit bawang merah. Perancangan ini di mulai dari pembuatan basis pengetahuan dilanjutkan dengan identifikasi rule dan perancangan inputoutput dengan metode forward chaining .Hasil rancangan pada penelitian ini diharapkan mampu membantu pekerjaan pakar menjadi lebih mudah sehingga memberikan hasil diagnosa penyakit bawang merah menggunakan sistem pakar.
ANALISIS SENTIMEN PENGGUNA DOMPET DIGITAL MENGGUNAKAN ALGORITMA MULTIVARIAT BERNOULLI (STUDI KASUS: OVO DAN GOPAY) Nurmida Nainggolan; Benedictus Sarumaha; Jon Rico Lumbanbatu; Siti Aisyah
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1223

Abstract

This research aims to analyze user sentiment towards two leading digital wallets in Indonesia, OVO and GoPay, using the Multivariate Bernoulli algorithm, a member of the Naive Bayes family effective in text classification. Data was collected from 1,070 user reviews through questionnaires distributed on social media and discussion forums, resulting in 915 sentiment data points after data cleaning. The preprocessing process included cleansing, case folding, tokenizing, normalization, filtering, and stemming to prepare the data for sentiment analysis. The study employed the K-Fold Cross Validation technique with 5 folds to test the model and obtain average accuracy, precision, and recall. The results showed that the Multivariate Bernoulli model performed well with an average accuracy of 86.20% for OVO and 83.15% for GoPay, with very high recall values indicating the model's ability to detect positive sentiment. The confusion matrix from each fold demonstrated consistent ability to identify positive cases. This study's findings are expected to provide recommendations for the development of OVO and GoPay digital wallet services based on user sentiment analysis.
PENERAPAN METODE TREND MOMENT DALAM PRDIKSI PENJUALAN OBAT HERBAL KOLESTROL Ilham Pramudya; Abednego Maruli Hotasi Sinaga; Sri Rezekiana iregar; Siti Aisyah
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.924

Abstract

This research aims to solve problems in inventory management of cholesterol-lowering herbal medicines at PT. Canaya Sirna Sentosa. Currently, the company is facing difficulties in procuring production materials due to irregular sales of herbal cholesterol medicines, causing inappropriate stock and resulting in losses. This research proposes a prediction system using the trend moment method to help companies manage inventory. This application allows input of product and sales data, as well as providing predicted results for the amount of herbal medicine inventory for a certain period. From the results of data processing obtained from 2018 to January 2023, the total data for sales forecasting/prediction is 42 bottles. The research results show that the trend moment method is effectively used as a prediction tool to reduce the error rate in determining the amount of herbal medicine inventory. This application system provides convenience and speed in data collection and can be a solution to overcome the problem of forecasting the amount of herbal medicine supplies in the future. The use of the trend moment method in this research can increase efficiency and accuracy in herbal medicine inventory management at PT. Canaya Sirna Sentosa, and can minimize losses due to inappropriate stock.
PELATIHAN PEMBELAJARAN AKTIF ABAD -21 YANG TERINTEGRASI PADA PROFIL PELAJAR PANCASILA BAGI GURU GURU SD IT PERMATA BERBASIS TEKNOLOGI DAN SAINTIFIK Palma Juanta; Muhardi Saputra; Anita Anita; Siti Aisyah; Sumita Wardani
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 3, No 2 (2023): Desember 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v3i2.1534

Abstract

Abstract: Learning is a process of interaction between students and educators in a learning environment that takes place in an educational manner, so that students can develop their attitudes, knowledge and skills to achieve the goals that have been set. The development of technology every year makes it difficult for teachers to keep up with developments so that almost every teacher still does not understand how to use Microsoft PowerPoint and Excel. Teachers only use the application as a tool. Therefore, there is a need for training for teachers to make learning plans, recap student learning outcomes, or create interesting teaching materials for students that are technologically and scientifically based so that they can improve professional competence, especially in the appropriate use of technology in the learning process.Keywords: teachers; technology; scienceAbstrak: Pembelajaran adalah proses interaksi antara peserta didik dan pendidik pada suatu lingkungan belajar yang berlangsung secara edukatif, agar peserta didik dapat membangun sikap, pengetahuan dan keterampilannya untuk mencapai tujuan yang telah ditetapkan. Berkembangnya teknologi setiap tahunnya membuat para guru kesulitan dalam mengikuti perkembangannya sehingga hampir setiap guru masih kurang paham menggunakan microsoft powerpoint dan excel. Guru hanya menggunakan aplikasi tersebut sebatas pada tools. Maka itu perlu adanya pelatihan bagi guru untuk membuat rencana pembelajaran, merekap hasil belajar peserta didik, atau membuat bahan ajar yang menarik bagi peserta didik yang berbasis teknologi dan saintifik sehingga dapat meningkatkan kompetensi profesional terutama dalam pemanfaatan teknologi pada proses pembelajaran secara tepat.Kata kunci: guru-guru; teknologi; saintifik
Co-Authors Abednego Maruli Hotasi Sinaga Agung Setiaman Hulu Amir Mahmud Husein, Mawaddah Harahap, Amir Anita Anita Ayu Rahayu Sagala Ayu Rosalya Sagala Benedictus Sarumaha Delima Sitanggang, Delima Ilham Pramudya Jacky Lius Jhonly Marihot Hasudungan Sinambela Jon Rico Lumbanbatu Juanta, Palma Lina Sari Damanik Matthew Thompson Mawaddah Harahap Melissa Melissa Monika, Cindy Muhammad Syahputra Novelan Muhardi Saputra Nur Siska Nurmida Nainggolan Nusa Ichdia Hady Perdana Palma Juanta Reno Tanfidz Robert Robert Rupiah Boru Tambunan Rut Julianti Hutagalung Sasmita Rahmawati Zebua Sri Rezekiana iregar Stevila Sugiarto Sugiarto SUMITA WARDANI Widia Sari Zebua Windania Purba Yuni Dame Ria Sinurat