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All Journal Jurnal TIMES Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Jiko (Jurnal Informatika dan komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer Jurnal Sains dan Teknologi Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Journal of Computer Networks, Architecture and High Performance Computing Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) JURNAL MITRA PRIMA Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam International Journal of Information System & Innovative Technology TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer International Journal of Information System and Innovative Technology INOVTEK Polbeng - Seri Informatika
Delima Sitanggang, Delima
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 Physics Social Sciences Veterinary

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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
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%.
INISIALISASI POPULASI PADA ALGORITMA GENETIKA MENGGUNAKAN SIMPLE HILL CLIMBING (SHC) UNTUK TRAVELING SALESMAN PROBLEM (TSP) Delima Sitanggang
Jurnal TIMES Vol 4 No 2 (2015)
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (209.85 KB)

Abstract

In classical genetic algorithm, the determination of the initial individu generated by random methods. In the study using a large individu, these methods often cause undesirable effects such as premature convergence in finding the optimal solution. In this study, algorithm Simple Hill Climbing (SHC) as the algorithm locally optimal analyzed its application to improve the performance of the genetic algorithm in order to avoid the genetic algorithm to the problem of convergence premature so expect to achieve optimal solutions in solving the Traveling Salesman Problem (TSP), In this research, three types of experiments by applying different parameters of Genetic Algorithm.In the first experiment, initial values obtained for the solution is 3596.6, Genetic Algorithm In the second experimental values obtained initial solution to SHC at 3494.1, and the best SHC for the best solution Genetic Algorithm In the third experiment obtained the initial value of 3330.9
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.
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.
Sistem Pakar Untuk Mendiagnosa Penyakit Ginjal Menggunakan Metode Backward Chaining Delima Sitanggang; Winarti Pasaribu; Mardi Turnip
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.v1i2.447

Abstract

Sistem pakar untuk mendiagnosa penyakit ginjal merupakan sistem yang berguna untuk mengetahui jenispenyakit pada ginjal, beserta gejala yang dialami user.Pemilihan masalah menyangkut jenis penyakit ginjal sebagai sampel penelitian ini, adalah kenyataan bahwa penyakit ginjal merupakan organ penting dalam sistem metabolisme tubuh kita, karena padatnya aktivitas, kitasering lupa untuk menjaganya. Pola makan yang tidak teratur, kurangnya asupan serat dan air mineral, serta konsumsi makanan atau minuman instan berkalori tinggi, tanpa sadar telah memperberat kerja ginjal.Sistem pakar ini dibuat menggunakan metode Backward Chaining dimana proses pencarian dimulai dari fakta fakta untuk selanjutnya menuju pada suatu konklusi. dan bahasa pemograman yang digunakan adalah PHP dan database MySQL. Penentuan diagnosa dalam sistem pakar ini dilakukan melalui proses konsultasi antara sistem dan user. Jawaban disesuaikan dengan aturanyang berada di dalam sistem, jika jawaban yang dimasukkan sesuai dengan aturan yang berlaku, maka sistem ini akan memberikan hasil diagnosa berupa informasi penyakit. Diharapkan dengan dibuatnya.Sistem Pakar Untuk Mendiagnosa Penyakit Ginjal dapat memberikan hasil diagnosa, serta pencegahanya.
ANALISIS ULASAN PALSU PADA PRODUK FEMALE DAILY DENGAN PENDEKATAN NATURAL LANGUAGE PROCESSING Faijriah Nazla Sahira; Cloudia Stevani Saragih Sumbayak; Pungki Laurensius Ritonga; Delima Sitanggang; Evta Indra
JURNAL ILMIAH BETRIK Vol. 14 No. 02 AGUSTUS (2023): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : P3M Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v14i02 AGUSTUS.100

Abstract

Ulasan produk memiliki peran penting dalam membentuk kepercayaan konsumen dan mempengaruhi keputusan pembelian. Namun, ulasan palsu dapat merugikan konsumen dengan memberikan informasi yang tidak akurat. Sehinga perlu dilakukan analisis untuk dapat mengetahui apakah terdapat ulasan palsu didalam ulasan-ulasan tersebut. Dengan demikian, kepercayaan pembeli terhadap produk dapat tetap terjaga. Penelitian ini dilakukan terbatas pada 10 produk Whitelab dengan ulasan sebanyak 3041 dan menggunakan model Decision Tree dan Logistic Regression untuk klasifikasi ulasan. Hasil penelitian menunjukkan bahwa ulasan dengan rating bintang 5 mendominasi dengan persentase 92,5%, namun terdapat juga ulasan tidak terdefinisi yang mengindikasikan ulasan palsu, terutama saat memberikan rating bintang 5. Model Decision Tree menghasilkan akurasi yang lebih baik dibandingkan dengan Logistic Regression, dengan akurasi data train mencapai 1.0 dan data test mencapai 91.96%. Sehingga dapat mengindikasikan kuat tentang ulasan palsu pada produk Whitelab di Female Daily, yang mungkin berasal dari buzzer atau pembeli palsu yang ingin mempengaruhi rating produk.
Mining for Success: Personalized Learning Paths through Educational Data Analysis Delima Sitanggang; Rijois Iboy Erwin Saragih
International Journal of Information System and Innovative Technology Vol. 2 No. 2 (2023): December
Publisher : Geviva Edukasi Trans Teknologi

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

Abstract

This research addresses the research problem of leveraging educational data mining techniques to create personalized learning paths for individual students based on their unique learning styles, preferences, and strengths. The study aims to investigate whether tailoring educational experiences using mined data leads to enhanced academic performance, increased engagement, and a more positive learning experience compared to traditional, non-personalized approaches. Methodologically, the research employs data-driven analyses of diverse student datasets, integrating variables such as academic performance, learning preferences, and individual strengths. The study explores the effectiveness of personalized learning paths facilitated by educational data mining in various educational settings. Ethical considerations related to data privacy and responsible use of mined information are also systematically addressed throughout the research. Results from this research contribute valuable insights into the efficacy of personalized learning strategies driven by data mining, offering implications for educational practices and curriculum design. The study provides a comprehensive examination of the benefits and challenges associated with implementing personalized learning paths, and the results have the potential to inform educational institutions, policymakers, and educators on optimizing learning environments.
Co-Authors -, Amalia ., Calvin ., Efendy ., Kelvin Abdi Dharma Achmad Ridwan, Achmad Ade Sahputra Nababan Agung Prabowo Agustinus Lumban Raja Albert Sagala, Albert Alvina, Jesslyn Ambarita, Rivandu Amir Mahmud Husein, Mawaddah Harahap, Amir Angie, Vicky Anita Anita Anita Christine Sembiring Ayu Rahayu Sagala Ayu Rosalya Sagala Barus, Ertina Sabarita Bolon, Debby Novriyanti Br Tp. Butarbutar, Serly Yunarti Cloudia Stevani Saragih Sumbayak Cristian Andika Tarigan Dahlian, Ryo Benhard David David Debby Novriyanti Br Tp.Bolon Djuli, Zachary Esther Mayorita Nababan Etriska Prananta S. Evta Indra Evta Indra Faijriah Nazla Sahira Felix Felix Ginting, Arico Sempana Ginting, Nessa Sanjaya Ginting, Riski Titian Grace Aloina Greace HS, Christnatalis Hutahaean, Rani Hutasoit, Feliks Daniel Iboy Erwin Saragih, Rijois Immanuel Sinaga, Ferdy Indra, Evta Indren, Indren Intan Susanti Simarmata Jefri Syah Putra Laoli Jorgi L.Tobing, Stefanus Juan Juanta, Palma Kumar, Sharen Lee, Brandon Lidya Silalahi Lumbantoruan, Nurima Manao, Sonatafati Manday, Dhanny Rukmana Mardi Turnip, Mardi Maria Yostin Br Tarigan Marlince N.K Nababan Marpaung, Aldo Andy Yoseph Tama Marpaung, Cantika Matthew Oullanley Lee Meri Natasia Napitupulu Mita Aprila Silpa Simanjuntak Muhammand Ridho Muliadi Marianus Sirait Musa Andrew Loyd Sitanggang Nababan, Marlince N.K Nainggolan, Winner Parluhutan Nanchy Adeliana Br S. Muham Napitupuluh, Christian Deniro Niken Sihombing Nina Purnasari Nova Riani Fransiska Novanius Lahagu Oktarino, Ade Oktoberto Perangin-angin Pamungkas, William Aldo Perangin Angin, Despaleri Perangin-angin, Despaleri Pungki Laurensius Ritonga Putra, Muhammad Amsar Rijois I. E. Saragih Rizal, Reyhan Achmad Sadarman Zebua Saljuna Hayu Rangkuti Sanjaya, Federico Saragi, Yosua Morales Saragih, Rini Hartati Sarah Simangunsong Saut Parsaoran Tamba sherly sherly Siahaan, Edivan Wasington Siahaan, Eric Simon Giovanni Sihotang, Putri Anasia Simangunsong, lamria Simanjuntak, Ester Farida Simanjuntak, Mega Herlin Simanjuntak, Ruth Marsaulina Simarmarta, Brando Benedictus Sinaga, Jasmin William Natanael Sion Putri Zalukhu Siregar, Saut Dohot Sitanggang, Maria Natalenta Siti Aisyah Siti Aisyah Sitompul, Chris Samuel Sitorus, Angelina Monica Situkkir, Miando Mangara Solly Aryza Sri Wahyu Tarigan Sri Wahyuni Tarigan Sumita Wardani Sundah, Geertruida Frederika Suyanto, Jao Han Tampubolon, Irfan Saputra Tampubolon, Johanes Joys Ronaldo Tampubolon, Tasya Rouli Christy Tarigan, Julio Putra Tarigan, Nina Veronika Tarigan, Sri Wahyuni Tifanny, Tifanny Togar Timoteus Gultom Wijaya, Bryan Wilbert Solo, Eddrick Winarti Pasaribu Yennimar Yennimar, Yennimar Yoga Tri Nugraha Yonata Laia Yumna, Farhan