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All Journal Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM JURNAL MITRA PRIMA
Delima Sitanggang
Universitas Prima Indonesia
Aerospace Engineering 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Veterinary

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SISTEM PENDUKUNG KEPUTUSAN PENGANGKATAN INSTRUKTUR TETAP PADA LEMBAGA KURSUS DAN PELATIHAN KARYA PRIMA DENGAN METODE PROFILE MATCHING Delima Sitanggang
Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) Vol. 1 No. 2 (2018)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (880.995 KB)

Abstract

Saat ini sudah ada 75 instruktur di Lembaga Kursus dan Pelatihan Karya Prima.Mengingat banyaknya siswa saat ini maka lembaga kursus karya prima perlu menambah instruktur kursus baru.Saat ini lembaga kursus karya prima untuk menentukan instrukur kursus masih secara manual sehingga dengan beberapa kriteria yang di tentukan dalam melakukan perhitungan mengalami kesulitan.Oleh karena perlu menerapkan Sistem Pendukung Keputusan (SPK) untuk menentukan pengangkatan instruktur tetap. Ada beberapa metode yang digunakan dalam membatu mengambil keputusan dalam menyeleksi instruktur tetap salah satunya adalah Profile Matching (PM). Hasil dari peneleitian ini dapat digunakan untuk memudahkan dalam pengambilan keputusan instruktur tetap.
APLIKASI SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SUPPLIER MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS Delima Sitanggang
Jurnal Sistem Informasi dan Ilmu Komputer Prima(JUSIKOM PRIMA) Vol. 2 No. 1 (2018)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

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Abstract

PT. AIM Safety Indonesia merupakan perusahaan distributor yang menjual barang safety di Indonesia. Barang-barang yang dijual antara lain head protection (helm keamanan), protective clothing dan barang lainnya. Barang-barang ini biasanya digunakan untuk keselamatan kerja di dalam suatu proyek. supplier merupakan salah satu faktor yang paling penting bagi perusahaan. Pemilihan supplier sering dilakukan oleh perusahaan berdasarkan harga dan produk barang. Kendala yang dihadapi adalah beberapa supplier mampu memberikan harga yang paling murah, namun klaim barang rusak tidak ditangani dengan baik, kecepatan respon lamban hingga pada jangka waktu kredit yang singkat. Permasalahan yang dihadapi perusahaan adalah bagaimana memilih supplier yang baik.Permasalahan pemilihan supplier dapat diselesaikan dengan membangun sebuah aplikasi Sistem. Sistem dirancang dengan menggunakan metode Analytical Hierarkhi Process (AHP). Metode ini baik untuk membantu dalam proses analisa dan pengambilan keputusan dengan menggunakan kriteria yang ditentukan mudah dipahami dan digunakan.Model perancangannya yang digunakan dalam penelitian ini menggunakan Unified Modelling Language (UML), software yang digunakan untuk membangun system ini adalah Microsoft Visual Basic NET 2010 dan sebagai databasenya Microsoft Access 2010. Akhir dari Penelitian ini dihasilkannyalah sebuah sistem pendukung keputusan dengan menggunakan AHP dan Memberikan hasil peringkat supplier terbaik, dimulai dari nilai tertinggi hingga nilai terendah sehingga PT.AIM Safety indonesia mudah dalam pemilihan supplier.
Pemberdayaan Petani Kopi Karo melalui Pengolahan Pasca Panen Anita Christine Sembiring; Delima Sitanggang; Nina Purnasari Sinuhaji
Jurnal Mitra Prima Vol. 2 No. 1 (2020): Jurnal Mitra Prima
Publisher : Mitra prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/mitra_prima.v1i1.833

Abstract

Pengolahan pasca panen yang baik dan benar akan memberikan dampak yang baik bagi kualitas sebuah tanaman. Demikian pula buah kopi bila budidaya tepat dan proses pengolahan pasca panen tepat dan benar maka kualitas kopi akan baik. Melihat permintaan pasar yang tinggi akan kopi Indonesia dan khususnya kopi daerah karo maka petani kopi karo harus menambah informasi dan pengetahuannya akan proses pasca panen buah kopi, petani kopi harus berbenah dan melakukan perbaikan. Petani Kopi Karo yang berada di Desa Lingga Tanah Karo merupakan mitra dari tim PKM Universitas Prima Indonesia. Mitra memiliki kendala seperti keterbatasan pengetahuan, keterbatasan alat dan teknologi dalam pengolahan pasca panen, dan pemasaran produk. Dengan pendampingan dan pendidikan yang diberikan maka permasalahan mitra dapat dipecahkan bersama. Meningkatnya pengetahuan petani dalam tahapan pemahaman tentang budidaya kopi, pengolahan pasca panen kopi sangat berperan penting dalam menentukan kualitas dan cita rasa kopi. Dengan edukasi dan monitoring yang tetap dilakukan maka petani menjadi paham tahapan proses pengolahan pasca panen. Dengan dukungan Hibah DRPM Kemenristekdikti skema Program Kemitraan Masyarakat (PKM) melakukan pendampingan dan pendidikan bagi petani kopi karo di desa lingga dengan memberikan bantuan alat kupas kulit tanduk (huller) agar petani dapat memproses lebih lanjut memproses hasil kebun mereka dimana selama ini dijual dalam bentuk gabah kemudian dapat dijual dalam bentuk green bean.
Perancangan dan Pembuatan Sistem Alat Pengendalian pada Kipas Angin Menggunakan PIR (PASSIVE INFRARED RECEVIER) dan Arduino Berbasis Android Delima Sitanggang; Grace Aloina; Muhammand Ridho
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 2 No. 2 (2019): Jutikomp Volume 2 Nomor 2 Oktober 2019
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v2i2.666

Abstract

Sistem kendali yang berbasis mikrokontroler Arduino, bluetooth HC-05 telah banyak digunakan dalam berbagai aspek kegiatan manusia. Banyak aplikasi di smartphone berbasis android dengan mikrokontroler telah membantu pengguna secara efektif dan efisien dalam pengontrolan jarak jauh maupun jarak dekat. Kipas angin banyak digunakan di Indonesia, tetapi masih menggunakan secara manual. Hal tersebut menyebabkan inefisiensi penggunaan listrik karena sering ditinggalkan dalam kondisi hidup.Pada penelitian sebelumnya sistem kontrol kipas angin otomatis menggunakan sensor suhu LM35 digunakan untuk mendeteksi suhu ruangan. Penelitian ini dilakukan dengan metode studi pustaka, yaitu membaca dan mempelajari literatur-literatur yang berhubungan dengan penelitan tersebut. Penelitian ini bertujuan meningkatkan efektivitas penggunaaan kipas angin. Penelitian ini merancang suatu sistem dimana kipas angin akan hidup jika ada orang yang berada didekatnya.Rancangan sistem ini menggunakan sensor PIR sebagai alat pendeteksi keberadaan manusia. Jadi dengan adanya alat bantu yang dibuat nantinya, seseorang tidak perlu lagi menekan tombol on/off atau tombol yang lainnya pada kipas angin tersebut, pada giliranya akan memberikan efektifitas penggunaan kipas angin.
Android Mobile Based Customer Policy Reminder Application Delima Sitanggang; Sri Wahyuni Tarigan; Nova Riani Fransiska
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.996.pp1751-1757

Abstract

In the business world, the risks faced can be in the form of loss due to fire, damage, loss, or other risks. To reduce unwanted risks in the future, we need an insurance company that is willing to bear this risk, where every problem faced by its customers, whether individuals or business entities, is an insurance company that is willing and able to bear these risks. An insurance company that has many marketing agency offices. The payment system that has been running so far is carried out using a conventional process, where customers come to the company to make payments. However, there are many obstacles faced by customers when paying a policy such as not remembering the insurance policy number, due date, and the total premium that must be paid. With the design of the mobile andriod-based customer policy reminder application, it will make it easier for customers and the company. This android based mobile application design uses the Java Eclips program language, PHP, and is supported by the MySQL database. This android mobile-based customer policy reminder application will later provide flexibility, namely notification of payment due dates to customers when the customer uses the application, information about the share price of each unit in the company, information about hospitals in Indonesia that work with the company, and also convenience. for customers in making policy payments every month. The applications that have been implemented currently are credit card, home, motor vehicle, health, life, and education insurance
Detecting Sodium Borax in Meat Processed Food Using Turmeric Sri Wahyu Tarigan; Delima Sitanggang
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.1040.pp1941-1946

Abstract

Borax as a dangerous preservative has been informed by the government by prohibiting the use of borax to preserve food. The use of borax is specifically regulated and limited by national health and safety laws. In simple terms, borax can be recognized by its presence in food by using a toothpick covered with turmeric. Toothpicks that have been smeared with turmeric will turn yellow according to the color of the turmeric but will turn orange when they are pricked into processed meat foods such as meatballs, sausages, and nuggets that contain borax. This is because turmeric contains curcumin which can detect the presence of borax in food. After all, curcumin can break down the borax bonds into boric acid and bind it to a complex rosin compound or commonly known as a boron cyano curcumin complex. The results of testing samples taken from two supermarkets and three traditional markets using turmeric as a reagent and the medium were toothpicks showed that 74% of processed food, including meatballs, nuggets, and sausages, contained borax and 26% did not contain borax
CLASSIFICATION OF ELECTROCARDIOGRAM (ECG) WAVES OF HEART DISEASE USING THE XGBOOST METODE METHOD Serly Yunarti Butarbutar; Christian Deniro Napitupuluh; Nessa Sanjaya Ginting; Evta Indra; Delima Sitanggang
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (502.556 KB)

Abstract

CLASSIFICATION OF ELECTROCARDIOGRAM (ECG) WAVES OF HEART DISEASE USING THE XGBOOST METODE METHOD
PENERAPAN DATA MINING UNTUK REKOMENDASI PAKET PERNIKAHAN MENGGUNAKAN METODE ALGORITMA APRIORI Delima Sitanggang; Nanchy Adeliana Br S. Muham; Saljuna Hayu Rangkuti; Sion Putri Zalukhu; Evta Indra
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 1 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i1.509

Abstract

SM Wedding Decoration is a place that provides services to take care of everything related to weddings. For example, wedding decorations, wedding organizers, and wedding planners. SM Wedding Decoration has several wedding packages that can be offered to customers. The many packages available make the bride and groom or customers confused to determine which wedding package is suitable for their wedding. The a priori algorithm method is used in this study to find recommendations for wedding packages based on existing transaction data and to improve the company's strategy and sales of other wedding packages. The Apriori algorithm is used to help computers learn patterns of association rules. This algorithm looks for a set of things that match the given criteria or sequence and has a certain frequency value. From this research, customers tend to order Photographer & Documentation and MUA → Deluxe packages more often, and these orders account for 44% of all package order transaction data. Package order transaction data for MUA→Deluxe package is 41.3%. Transaction data for the Photographer & Documentation package → Deluxe Package is 41.2%. And the transaction data for ordering the MUA → Premium Deluxe Package package is 41.3%.
Sentiment Analysis of Digital Television Migration on Twitter Using Naïve Bayes Multinomial Comparison, Support Vector Machines, and Logistic Regression Algorithms Ryo Benhard Dahlian; Delima Sitanggang
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 12, No 2 (2023): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v12i2.1668

Abstract

The Ministry of Communication and Information Technology (KEMENKOMINFO) has announced to the publics in Indonesia regarding the termination of analog television broadcasts or called analog switch-off, which requires the public to migrate from analog television to digital television. Regarding the process of stopping analog broadcasts this raises pros and cons by the people in Indonesia. Many people give their respective opinions through social media, especially on Twitter. A collection of pros and cons data from the public can be collected and used as research of sentiment analysis. This research will focus on comparing three classification algorithms, which is called Multinomial Naïve Bayes, Support Vector Machines, and Logistic Regression using the same dataset and the same method called Lexicon Based. The results showed that the highest accuracy is Support Vector Machines with the accuracy is 94.00%, Logistic Regression with the accuracy is 90.00%, and Multinomial Naïve Bayes with the accuracy is 88.00%.
PREDIKSI MATA UANG KRIPTO MENGGUNAKAN METODE ALGORITMA LINEAR REGRESSION Matthew Oullanley Lee; Delima Sitanggang; Evta Indra
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.v6i1.757

Abstract

Cryptocurrencies are advanced monetary standards planned to operate as a medium of exchange over a arrange that's free of a central specialist, such as a government or bank. Cryptocurrencies have a tendency for price changes to occur which fluctuate like conventional currencies which can cause shifts in the market. This shift can affect cryptocurrencies, especially asset owners. The goal in this research is to predict data and provide accurate results to help cryptocurrencies players. In the process, web scraping is used to retrieve data This study will visualize the data in the form of a line chart by employing the linear regression algorithm to forecast the price movement of cryptocurrencies. nonetheless, digital forms of money costs can't be isolated from outside elements, for example, the conversion standard of rupiah against unfamiliar monetary forms. There are a lot of influencing factors, like when there is more demand than there is supply. The rise in bitcoin's price from $ 19,616.81 to $ 25,995.91 is evidence of this. A rise in market capital from $ 375,367,382,007.85 to $ 504,341,343,850 also helped. A cryptocurrency's demand is proportional to its market capitalization, which indicates how dominant it will be in the stock market. The daily return is another indicator that cryptocurrency movements can be either positive or negative.
Co-Authors Anita Christine Sembiring Christian Deniro Napitupuluh Despaleri Perangin-angin Evta Indra Ginting, Riski Titian Grace Aloina Matthew Oullanley Lee Muhammand Ridho Nanchy Adeliana Br S. Muham Nessa Sanjaya Ginting Nina Purnasari Nova Riani Fransiska Ryo Benhard Dahlian Saljuna Hayu Rangkuti Serly Yunarti Butarbutar Sion Putri Zalukhu Sri Wahyu Tarigan Sri Wahyuni Tarigan Togar Timoteus Gultom Winner Parluhutan Nainggolan Yoga Tri Nugraha