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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Journal of Computer System and Informatics (JoSYC) RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI Journal of Informatics Management and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer BEES: Bulletin of Electrical and Electronics Engineering Journal of Computing and Informatics Research Bulletin of Artificial Intelligence Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Dedy Hartama
STIKOM Tunas Bangsa, Pematangsiantar
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Analisis Metode VIKOR Pada Pemilihan Sabun Cuci Tangan Terbaik Berdasarkan Konsumen Dinda Nabila Batubara; Agus Perdana Windarto; Anjar Wanto; Dedy Hartama; Irfan Sudahri Damanik
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2586

Abstract

In a pandemic like this, hand washing soap has an important role in accompanying the daily activities of the community that cannot be separated from health protocols. Therefore, there are many kinds of hand washing soap in circulation. The many brands and variants of hand washing soap make it difficult for consumers to choose the right hand washing soap for them to use. The source of this research data was obtained by conducting interviews and giving random questionnaires to the community of 100 respondents in Pematangsiantar city. Based on the results of interviews and questionnaires, there were 5 assessment criteria for hand washing soap products, namely price (C1), how to obtain (C2), composition / content (C3), aroma (C4), and packaging (C5) and 6 alternatives used.including lifebuoy (A1), Dettol (A2), Sleek (A3), Sanitary (A4), Nuvo (A5), Carex (A6). This study uses a decision support system with the VIKOR method. The results of the study indicate that A2 = Dettol with a VIKOR value of 1.047 is an alternative that suits consumer needs. It is expected that the results of this study can provide information and help consumers in determining the right product.Keywords: SPK, VIKOR, Hand Washing Soap, Consumer, Selection
PENERAPAN METODE WSM PADA FAKTOR PENYEBAB RENDAHNYA MINAT MAHASISWA DALAM BELAJAR BAHASA INGGRIS Friskila Parhusip; Dedy Hartama; Zulaini Masruroh Nasution
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.932

Abstract

English is one of the important components in realizing a quality college and being an international language means the language that will be used when conducting conversations between countries or nations. To realize a quality college, STIKOM Tunas Bangsa began to impose an increase in learning English. However, this was found to be an obstacle, namely the low interest of students in learning English. In this study will be determined the factors that are the main reason for the low interest of students in learning English. Data inputted based on the results of the questionnaire with the STIKOM Tunas Bangsa case study, then processed using the Weighted Sum Model (WSM) method by determining the alternatives to be used as reference in retrieval. decisions, namely, the level of difficulty, the level of understanding, environmental factors, and the role of the lecturer. The test results show that the WSM method is able to produce factors of low student interest in learning English based on the required criteriaKeywords: English Language, Decision Support System, WSM Method, Student Interest.
Analisa Klasifikasi C4.5 Terhadap Faktor Penyebab Menurunnya Prestasi Belajar Mahasiswa Pada Masa Pandemi Dedy Hartama; Agus Perdana Windarto; Heru Satria Tambunan; Irfan Sudahri Damanik
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2695

Abstract

The purpose of the study was to classify the factors causing the decline in student achievement during the pandemic using the C4.5 datamining method. Sources of research data were obtained by conducting interviews and distributing questionnaires to 7th semester students of the 2020-2021 school year information system study program. Attributes that used in the classification of the factors causing the decline in student achievement include: Learning Method (C1), Study Time (C2), Material Understanding (C3), Giving Assignments (C4) and Environment (C5). The results of the calculation show that the Material Understanding (C3) attribute is the attribute that most influences the decline in student learning achievement. Testing was also carried out using the help of Rapidminer software and obtained an accuracy of 97.5%.Keywords: Classification, Datamining, C4.5, learning achievement, Pandemic
Implementasi Inferensi Fuzzy Tsukamoto pada Prediksi Penjualan Telur Ayam Eropa pada Bisnis Raffa Telur Cici Astria; Harly Okprana; Anjar Wanto; Dedy Hartama; Heru Satria Tambunan
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2587

Abstract

Eggs are an animal product that comes from poultry. Eggs are known as a food that contains nutrients that are very good for the body because they contain a high protein source. Apart from being nutritious, people consume a lot of eggs because the price is relatively cheaper than other protein foods. This research was conducted on the Raffa Egg business located in Pematangsiantar City. The data collection process was carried out by means of interviews and observations with Raffa Eggs. This study aims to predict the number of purchases of European chicken eggs from suppliers. The research was conducted using Tsukamoto fuzzy logic with 3 variables, namely sales (x), inventory (y) and purchases (z). where the sales variable (x) consists of 2 fuzzy sets, including increasing and decreasing, inventory (y) consisting of many and few fuzzy sets and purchasing (z) consisting of many and few fuzzy sets. The results of the calculation of the prediction of the number of purchases of European chicken eggs with sales of 6500 and inventory of 25 000 are 29583 items.Keywords: Eggs, European chicken eggs, Fuzzy, Tsukamoto, Pematangsiantar
Implementasi Multifactor Evaluation Process (MFEP) Pada Pemilihan Foundation Bagi Perias Pemula Mawaddah Anjelita; Eka Irawan; Agus Perdana Windarto; Dedy Hartama; Irfan Sudahri Damanik
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2697

Abstract

Abstract−This study aims to provide input, especially for novice make-up in choosing the best foundation, considering that foundation is one of the main components in make-up which is very influential in the perfection of make-up. The algorithm used in this study is the Multifactor Evaluation Process (MFEP). There are 5 factors used in the selection foundation, namely the durability of the foundation, the age of the product, the price, the color variants presented, and the coverage or ability of the foundation to cover deficiencies in the face. The foundation products used in this research are Lt-Pro Smooth Corector, Kryolan, Ultima II, Naturactor, and Este Lauder. The implementation of the Multifactor Evaluation Process (MFEP) in the selection of foundations for beginners can be applied. The result was that Kryolan foundation could be an alternative for beginners who were confused in choosing a foundation. The second order was obtained by Naturactor Foundation.Keywords: MFEP, Decision Support System, Multifactor Evaluation Process, Selection of Foundation, SPK
Analisis M Etode The Extended Promethee II (Exprom II) Pada Penentuan Handsanitizer Terbaik Berdasarkan Konsumen Dewinta Marthadinata Sinaga; Agus Perdana Windarto; Saifullah Saifullah; Dedy Hartama; Irfan Sudahri Damanik
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2589

Abstract

Washing hands with a handsanitizer can inhibit growth and kill bacteria, viruses and fungi. The aim of this study was to analyze the determination of the best handsanitizer based on consumer choice. The data collection method is done by interviewing consumers who use handsanitizer in Pematangsiantar city. Based on these results, it can be obtained the assessment criteria for Material Content (C1), Type (C2), Aroma (C3), Availability of Goods (C4). The alternatives used are 4, namely: A1 = Dettol, A2 = Antis, A3 = Nuvo, A4 = Lifebouy. The results of research using the EXPROM II method show that the Dettol (A1) handsanitizer product with a value of 1.1594 is recommended to be the best handsanitizer product based on consumers. It is hoped that the research results can provide information to consumers in determining the best handsanitizer based on predetermined criteria and alternatives.Keywords: Decision Support System, EXPROM II, Handsanitizer
Penerapan Metode Fuzzy Mamdani Dalam Penentuan Penerima BLT-DD Di Mekar Sari Raya Muhammad Aliyul Amri; Dedy Hartama; Anjar Wanto; Sumarno Sumarno; Heru Satria Tambunan
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2698

Abstract

Abstract−BLT-DD, which stands for Village Fund Direct Cash Assistance, is a village assistance program with the type of cash or assistance or various other types of assistance, whether conditional or unconditional for underprivileged people. The selection of BLT-DD recipients needs to be done accurately so that recipients who really need will receive BLT-DD. To be able to determine the BLT-DD recipient, one of artificial intelligence is needed, namely fuzzy mamdani logic which has a simple structure using min-max or max-product operations with a set of predetermined rules, namely IF-AND-THEN. Then supported by the Matlab application (R2007b) as a decision maker through the program provided. The results of the calculation of BLT-DD recipients can later assist the Village Head and staff staff in determining more accurate BLT-DD recipients.Keywords: Fuzzy, Mamdani, Receiver, BLT-DD, Matlab[1]        D. Rahakbauw, F. Rianekuay dan Y. Lesnussa, “Penerapan Metode Fuzzy Mamdani Untuk Memprediksi Jumlah Produksi (Studi Kasus : Data Persediaan Dan Permintaan Produksi Karet Pada PTP Nusantara XIV (Persero) Kebun Awaya, Teluk Elpaputih, Maluku-Indonesia,” Jurnal Ilmiah Matematika dan Terapan (JIMT), pp. 119-127, 2019. [2]        Z. Julisman dan Erlin, “Prediksi Tingkat Curah Hujan di Kota Pekanbaru menggunakan Logika Fuzzy Mamdani,” Jurnal SATIN (Sains dan Teknologi Informasi), vol. 3, pp. 65-72, 2014. [3]        N. Ningsih, N. T. Pambudi dan A. M. Abadi, “Penerapan Metode Fuzzy Mamdani Untuk Memprediksi Penjualan Gula,” Seminar Matematika Dan Pendidikan Matematika UNY, pp. 153-160, 2017. [4]        B. Prasetya, A. B. Setiawan dan B. F. Hidayatulail, “Fuzzy Mamdani Pada Tanaman Tomat Hidroponik (Mamdani Fuzzy on Hydroponics Tomato Plants),” Journal of Electrical and Electonic Engineering (UMSIDA), vol. 3, pp. 228-263, 2019. [5]        M. S. Asih, “Sistem Pendukung Keputusan Fuzzy Mamdani pada Alat Penyiraman Tanaman Otomatis,” Jurnal Sistem Informasi (QUERY), vol. 2, pp. 41-52, 2018. [6]        M. Y. T. Irsan, M. I. Kasau dan I. P. Simbolon, “Penggunaan Fuzzy Logic & Metode Mamdani untuk Menghitung Pembelian, Penjualan dan Persediaan,” Journal of Applied Accounting and Finance (JAAF), vol. 3, pp. 37-48, 2019.
PENERAPAN CLUSTERING PADA PENDUDUK YANG MEMPUNYAI KELUHAN KESEHATAN DENGAN DATAMINING K-MEANS Nurul Rofiqo; Agus Perdana Windarto; Dedy Hartama
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.929

Abstract

This study aims to utilize Clushtering Algorithm in grouping the number of people who have health complaints with the K-means algorithm in Indonesia. The source of this research data was collected based on the documents of the provincial population which had health complaints produced by the National Statistics Agency. The data used in this study are data from 2013-2017 consisting of 34 provinces. The method used in this research is K-means Algorithm. Data will be processed by clushtering in 3 clushter, namely clusther high health complaints, clusther moderate and low health complaints. Centroid data for high population level clusters 37.48, Centroid data for moderate population level clusters 27.08, and Centroid data for low population level clusters 14.89. So that obtained an assessment based on the population index that has health complaints with 7 provinces of high health complaints, namely Central Java, Yogyakarta, Bali, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, Gorontalo, 18 provinces of moderate health complaints, and 9 other provinces including low health complaints. This can be an input to the government to give more attention to residents in each region who have high health complaints through improving public health services so that the Indonesian population becomes healthier without health complaints.Keywords: data mining, health complaints, clustering, K-means, Indonesian residents
Prediksi Jumlah Penjualan Produk di PT Ramayana Pematangsiantar Menggunakan Metode JST Backpropagation Muhammad Syafiq; Dedy Hartama; Ika Okta Kirana; Indra Gunawan; Anjar Wanto
JURIKOM (Jurnal Riset Komputer) Vol 7, No 1 (2020): Februari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (256.554 KB) | DOI: 10.30865/jurikom.v7i1.1963

Abstract

Product is the one of thing which more important in the business especially for the retail industry. Ramayana is the one exact place for selling retail products such as clothing, shoes, or slipper. On 2012-2018, the number of sales of products in Ramayana experience curve up and down. That thing can cause profit and lose for Ramayana, to avoid that thing need to be held a prediction for the next months so that Ramayana side can know what will happen in the next months in selling it’s product and can take a step for more effective in selling it’s products. The data which used in this research is the data report monthly product sales of shoes & sandal sourced from Ramayana from 2012 until 2018. This research uses the Backpropagation neural network method using 5 architectures namely 3-26-1, 3-31-1, 3-35-1, 3-39-1 and 3-40-1. The best architecture is 3-35-1 with an accuracy rate of 92%. The results obtained are the results of the prediction of the number of sales for 2019, 2020, 2021 and 2022
PkM: Pelatihan Pemanfaatan Teknologi Cloud Sebagai Media Pembelajaran Masa Pandemi M Safii; Dedy Hartama; Yuli Septya Ayunda
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 4 No. 2 (2021): TRIDARMA: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/abdimas.v4i2.1372

Abstract

Dimasa pandemi yang belum diketahui kapan berakhirnya berdampak pada seluru aspek kehidupan manusia. Dampak ini juga dirasakan oleh generasi muda yang saat ini sedang melaksanakan kegiatan pendidikan. Di Pematangsiantar kegiatan belajar mengajar masih dilaksanakan secara online yang memaksa tenaga pengajar dan siswa harus menguasai teknologi khususnya Internet. Secara umum pihak penyelenggara pendidikan menggunakan google classroom yaitu salah satu produk dari perusahaan google untuk belajar secara online. Pada pelatihan ini akan memperkenalkan fasilitas yang disediakan oleh teknologi cloud sehingga siswa bisa melatih kompetensinya terhadap penguasaan teknologi khususnya Teknologi Cloud. Fasilitas yang diperkenalkan kepada peserta pelatihan diantaranya media penyimpanan cloud menggunakan Google Cloud Datastore dan Pembuatan Formulir online. Pelatihan ini dilaksanakan pada tanggal 7-10 Juni 2021 secara daring menggunakan Zoom yang diikuti oleh 48 orang siswa dari berbagai sekolah di Pematangsiantar dan Kabupaten Simalungun yang diundang secara online melalui media sosial. Siswa yang mengikuti kegiatan pelatian ini dari berbagai jurusan yang berbeda. Setelah mengikuti kegiatan pelatihan secara umum dapat diamati bahwa selama pelatihan 4 hari siswa menjadi lebih menguasai dan memahami fasilitas teknologi cloud khususnya keterampilan membuat formulir online dan penyimpanan data menggunakan google cloud.
Co-Authors Adinda Putri Azhari Agus Perdana Windarto Angga Sihasani Bahrudi Efendi Damanik Bellarmino Wira Permana Cici Astria Dewinta Marthadinata Sinaga Dinda Nabila Batubara Dwi Findi Auliasari Eka Irawan Elsa Indah Sari Ferdinal Rahmat Gea Fitri Anggraini Friskila Parhusip Gita Febrianti Handri Al Fani Heru Satria Tambunan Iin Parlina Ika Okta Kirana Ika Purnama Sari Ilham Saputra Saragih Indra Fransiskus Tarigan Indra Gunawan Irfan Sudahri Damanik Jalaluddin Jalaluddin Jalaluddin Jalaluddin Jalaluddin Jalaluddin Khairunnissa Fanny Irnanda Kristin Daya Rohani Sianipar Kurnia Sandi Purba M Safii M Safii M. Ridwan Lubis MARIA BINTANG Maulidya Rahma Siregar Mawaddah Anjelita Muhammad Afifuddin Javan Muhammad Aliyul Amri Muhammad Ridwan Lubis Muhammad Syafiq Nurul Rofiqo Okprana, Harly Poningsih Primatama Kurniandisyah S Suhada Saifullah Saifullah Saifullah Solikhun Solikhun Sri Vivi Wahdini Suhada Suhada Suhada Sumarno Sumarno Sumarno Sundari Retno Andani Wanto, Anjar Yuli Septya Ayunda Zepri Pratama Zulaini Masruro Nasution Zulaini Masruroh Nasution