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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JURTEKSI Jurnal Riset Informatika Building of Informatics, Technology and Science Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jutsi: Jurnal Teknologi dan Sistem Informasi Journal of Social Responsibility Projects by Higher Education Forum J-Com (Journal of Computer) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat
Harahap, Indra Ramadona
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Trend Moment Method to Predict Sales of Pekanbaru Hoya Bread Siregar, Wahyuni; Syah, Arridha Zikra; Harahap, Indra Ramadona
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2022): Article Research Volume 7 Issue 1: January 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i1.11233

Abstract

Hoya or better known as Hoya Bakery is located on Durian Street, Pekanbaru City. Is one of the shops and factories that produce and sell various kinds of bread and market snacks located in various places in Pekanbaru. Especially in meeting the demand that will be distributed to consumers which is relatively large so that there are often out of stock bread and excess stock. Therefore, accurate and efficient predictions of bread sales are needed using the trend moment method. A forecast to produce forecasts of bread supplies in the future. In this study, data on bread sales are used every month from October 2019 to September 2020. The sales record for each month is useful to see whether it has increased or decreased. The result of this research is the creation of a computerized system that is able to generate estimates for the next month using the PHP and MySQL programming languages, making it easier to find out how much bread will be sold and consider how much will be produced in the following month so that there is no shortage or excess stock of bread
IMPLEMENTATION OF THE TREND MOMENT METHOD IN ESTIMATING BREAD SALES Wahyuni Siregar; Arridah Zikra Syah; Indra Ramadona Harahap
Jurnal Riset Informatika Vol 4 No 2 (2022): Period of March 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3011.529 KB) | DOI: 10.34288/jri.v4i2.349

Abstract

The trend moment method is a forecasting method for producing an estimated number of future bread supplies so that there is no excess or shortage of bread stock in the coming month. Data on bread sales is used in this study every month from January to December 2021. Each month's sales records are useful for determining whether sales have increased or decreased. The study's findings include the development of a computerized system that can generate approximate numbers in predicting deals for the following month utilizing the PHP and MySQL programming dialects, making it simpler to determine how much bread will be sold while taking into account the stock of goods and how much will be produced in the coming months. the following month with the goal that there is no lack or abundance of bread stock. The results of sales predictions for 12 months in 2021, produce predictions in January 2022, in the 13th period with MAD (Mean Absolute Deviation) results of 40.08% and MSE (Mean Squared Error) rates of 27.64%.
APPLICATION OF C4.5 ALGORITHM FOR DETERMINATION OF THE COMMUNITY OF RECIPIENTS OF PROSPEROUS FAMILY CARDS IN THE VILLAGE OF SUKARAMAI BASED ON WEB Intan Agustina; Juna Eska; Indra Ramadona Harahap
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.164

Abstract

The Prosperous Family Card (KKS) is a card given by the Government in lieu of a Social Protection Card (KPS). This card is a marker of underprivileged communities, people who have KKS will get Rice Assistance and Non-Cash Food Assistance (BPNT) every month. To receive the Prosperous Family Card (KKS), the government has set several criteria. As for how to solve the criteria that have been set, namely by utilizing data mining techniques. Data mining can also be interpreted as the process of extracting and extracting knowledge in a set of data using the C4.5 Algorithm. The C4.5 algorithm is a method that can be used for decision making that forms into a decision tree that can later be used as a basis for consideration in determining the community of recipients of the Prosperous Family Card (KKS). The purpose of this study is that the C4.5 algorithm can predict the community of recipients of prosperous family cards so that they can be used in determining the community of recipients of prosperous family cards (KKS) in Sukaramai village.
Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Pada Aliyah Aras Kabu Agung Tanjungbalai Menggunakan Metode AHP Dahriansah Dahriansah; Andri Nata; Indra Ramadona Harahap
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol 3, No 1 (2020): J SISKO TECH EDISI JANUARI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v3i1.199

Abstract

Penelitian ini bertujuan untuk merekomendasikan siswa berprestasi pada Aliyah Aras Kabu Tanjungbalai berdasarkan kriteria yang ditentukan dengan menggunakan teknik sistem pendukung keputusan.. Teknik pengambilan keputusan multi kriteria ini didasarkan pada teori bahwa setiap alternatif terdiri dari sejumlah kriteria yang memiliki nilai-nilai dan setiap kriteria memiliki bobot yang menggambarkan seberapa penting kriteria tersebut dengan kriteria lain. Hasil akhir yang diperoleh dari sistem pendukung keputusan ini akan memberikan suatu alternatif, untuk merekomendasikan siswa berprestasi pada Aliyah Aras Kabu Tanjungbalai. Adapun Nama siswa berprestasi pada Aliyah Aras Kabu Menurut Pehitungan Metode AHP Adalah Dari hasil perhitungan yang dilakukan oleh sistem, didapat bahwa ada 1 (satu) siswa yang bisa dijadikan rekomendasi dari 4 (empat) data penelitian yang dilakukan. Siswa tersebut berinisial A4 dengan nilai tertinggi 1,000.
PENERAPAN DATA MINING UNTUK KLASIFIKASI PRODUK MERK BATA MENGGUNAKAN ALGORITMA K-MEANS Hernita Samosir; Muhammad Amin; Indra Ramadona Harahap
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol 1, No 2 (2021): June 2021
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v2i1.1163

Abstract

AbAbstract: Tanjungbalai Bata Store is a store that is engaged in the business of selling products and every day processes purchase data, sales data and transaction data. Transaction data is the result of sales that can be obtained so that store management knows the strategies that will be carried out to increase sales results. As for consumers who make transactions at stores for a separate reason, especially because of the completeness and many models that can be obtained from the Tanjungbalai brick shop, another reason is that the Tanjungbalai Brick Shop can provide a sense of comfort and peace in addition and the cleanliness seen from the store . There are many types of products sold at the Tanjungbalai Brick Shop. However, Tanjungbalai Brick Shop cannot classify products that are selling well and those that are not selling well. So that the difficulties experienced are the frequent shortage of stock of products that sell well because sales are high and the accumulation of products that are not selling well in the warehouse because the sellers are low. Based on the problems above, data mining is needed to classify which products are in demand and which are not. Data mining and k-means methods can help in this research combined with the PHP programming language and MySQL database. Keywords:Data Mining; Product Classification; K-Means Algorithm.  Abstrak:Toko Bata Tanjungbalai adalah toko yang bergerak di bidang bisnis penjulalan produk dan setiap harinya melalukan proses data pembelian, data penjualan maupun data transaksi. Data transaksi merupakan hasil penjualan yang di dapat agar manajemen toko mengetahui strategi yang akan di lakukan untuk meningkatkan hasil penjualan. Adapun konsumen yang melakukan transaksi di toko memiliki alas an tersendiri ataupun di karenakan kelengkapan dan banyak model yang bisa di dapatkan dari toko bata tanjungbalai, alasan yang lain adalah Toko Bata Tanjungbalai dapat memberikan rasa nyamandan tentram di tambah lagi keramahan dan kebersihan yang di lihat dari toko tersebut. Ada banyak jenis produk yang terjual di Toko Bata Tanjungbalai, namun toko bata Tanjungbalai tidaklah mampu dalam membagikan kelompok produk tersebut masuk kategori laris dan tidak laris. Sehingga kesulitan yang dialami yaitu seringnya kekurangan stok produk yang laku karena penjualannya tinggi dan menumpuknya produk yang tidak laris di gudang karena penjualnnya rendah. Berdasarkan permasalahan di atas maka dibutuhkan data mining untuk mengelompokkan produk mana saja yang laris dan tidak. Data mining dan metode k-meansdapat membantu dalam penelitian ini dipadukan dengan pemrograman PHP dan MySQL. Kata Kunci :Data Mining; Klasifikasi Produk; Algoritma K-Means
Penerapan dan Pandangan Keagamaan Terhadap Undang-Undang ITE di Indonesia Indra Ramadona Harahap; Dewi Maharani
Journal of Social Responsibility Projects by Higher Education Forum Vol 1 No 1 (2020): Juli 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (284.31 KB)

Abstract

Community service activities with the theme "Application and Views of Relevance to the ITE Law in Indonesia" aims to provide knowledge to students of SMA Negeri 4 The range of the importance of discussing the specific ITE Law for children and also looking at it from the religious side. The method used in this activity was a direct survey to the location of the school and also interviewed the Principal of SMA Negeri 4 Kisaran. ITE is information and electronic transactions in which a rule is made by the state with the help of information technology regarding the importance of trade and economic growth to realize the welfare of the community and the government needs to support the development of information technology through legal infrastructure and its regulation to help information technology be carried out secaa safely to avoid considering it with pay attention to the religious, social, cultural values ​​of Indonesian people
Penerapan Sistem Pengereman dan Parkir Mobil Listrik Menggunakan Sensor Ultrasonik Berbasis Arduino UNO Azhar Robbi Dayus; Jhonson Efendi Hutagalung; Indra Ramadona Harahap
J-Com (Journal of Computer) Vol 2, No 2 (2022): Juli 2022
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v2i2.1728

Abstract

Abstract: Most of the braking systems used still use the drum system so that an automatic braking system is needed so that collisions rarely occur due to sudden braking which results in many accidents that claimed lives. This automatic brake control system is a device that functions as an automatic braking controller on four-wheeled vehicles without the driver having to press the brake pedal or brake manually. This system uses ultrasonic sensors to detect the distance of the car to objects that are in the way both in front and behind the car. Controlled by Arduino Uno microcontroller which is connected to servo motor and buzzer. The system can control the speed of vehicles and parking cars in the parking lot by designing and making a braking and parking system that works using ultrasonic sensors so that it can notify objects or things that are blocking both in front and behind the car. The car can stop quickly and accurately so it doesn't touch the object in front of it and the car can also park properly in the designated parking space. Keyword: Ultrasonic Sensor; Microcontroller; Arduino Uno; Servo Motor; Buzzer  Abstrak: Sistem Pengereman kebanyakan digunakan masih menggunakan sistem  tromol sehingga dibutuhkan system pengereman otomatis sehingga jarang terjadi tabrakan karena pngereman yang tiba-tiba yang mengakibatkan banyaknya kecelakaan yang menelan korban jiwa. Sistem kendali rem otomatis ini adalah sebuat alat yang mempunyai fungsi sebagai pengendali pengereman otomatis pada kendaraan roda empat tanpa si pengemudi harus menekan pedal rem atau pengereman secara manual. Sistem ini menggunakan sensor ultrasonik untuk mendeteksi jarak mobil terhadap benda yang mengahalangi baik di depan maupun di belakang mobil. Dikendalikan oleh mikrokontroler Arduino Uno yang terhubung ke motor servo dan buzzer. Sistem dapat mengendalikan laju kendaraan dan pemakiran mobil pada tempat parkir dengan merancang dan membuat sistem pengereman dan parkir yang bekerja dengan menggunakan sensor ultrasonic sehingga dapat memberitahukan benda atau sesuatu yang menghalangi baik di depan maupun di belakang mobil. Mobil dapat berhenti dengan cepat dan akurat sehingga tidak menyentuh benda did depannya dan mobil juga dapat parkir dengan tepat di tempat parkir yang telah ditentukan. Kata kunci: Sensor Ultrasonik; Mikrokontroler; Arduino Uno; Motor Servo; Buzzer 
Sistem Pakar Untuk Mendiagnosa Penyakit Lupus dengan Metode Forward Chaining Menggunakan Web Indah Wahyuni Bugis; Jhonson Efendi Hutagalung; Indra Ramadona Harahap
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2121

Abstract

Lupus disease can attack humans quickly. The initial symptoms that will arise are the same as common diseases such as high fever, prolonged thrush, and also hair will fall out and start to run out one by one until it will go bald, the form of red rashes that appear on the skin, excessive joint pain in the body, easily tired, weight loss, causing paralysis, there are many other symptoms. The lack of availability of a doctor and the limited knowledge of people in remote areas often make the initial diagnosis of the disease late, therefore the application of an expert system is considered very useful to help diagnose lupus early in view of the time and energy of an expert doctor. In the health sector there is an artificial intelligence called an expert system, which is a computer system that uses knowledge, facts and reasoning techniques in solving problems that can usually only be solved by an expert in their field. This study uses an expert system application method in making decisions using a forward chaining inference engine where the goal driven data will start a search on the initial node to the goal node until it gets results. From the diagnostic process, the system provides a selection of the symptoms experienced by the patient, resulting in CLE type lupus (Cutaneus Lupus Erythematosus)
E - CRM Penjualan Keripik Kemuning Pada Usaha Kecil Menengah (UKM) Putri Radikasari Siregar; Novica Irawati; Indra Ramadona Harahap
J-Com (Journal of Computer) Vol 2, No 3 (2022): November 2022
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v2i3.1937

Abstract

Abstract: Kisaran city is a city located in Asahan district where most of its residents carry out activities by selling. Kemuning chips business is a production house that sells various types of chips. From the results of interviews conducted by the author with the owner of the yellow chip business, it can be explained that the problems that occur are that this business does not yet have a shop for selling and still uses the manual method of ordering and recording in the ledger, this method is less helpful because errors often occur during ordering data collection. Haven't found a way to get more customers in the yellow chips business. For this reason, a special application for selling kemuning chips is needed that connects customers with business owners, so the researchers apply the Electronic Customer Relationship Management (E-CRM) method to develop a sales and ordering information system using the PHP programming language and MySQL database. The E-CRM method is expected to help and make it easier for business actors to expand promotions, sales and for customers to facilitate the process of choosing the type of chips.Keywords : chips production, E-CRM, sales  Abstrak Kota kisaran merupakan kota yang terletak di kabupaten asahan dimana sebagian dari penduduk nya melakukan kegiatan dengan berjualan.  Usaha keripik kemuning merupakan salah satu rumah produksi yang menjual bermacam jenis keripik. Dari hasil wawancara yang dilakukan penulis dengan pemilik usaha keripik kemuning dapat dijelaskan permasalahan yang terjadi yaitu usaha ini belum memiliki toko untuk tempat berjualan dan masih menggunakan cara manual dalam pemesanan dan pencatatan pada buku besar, cara ini kurang membantu dikarnakan sering terjadi kesalahan pada saat pendataan pemesanan. Belum menemukan cara untuk mendapatkan pelanggan yang lebih banyak pada usaha keripik kemuning. Untuk itu diperlukannya sebuah aplikasi khusus penjualan produk keripik kemuning yang menghubungkan antara pelanggan dengan pemilik usaha, maka peneliti menerapkan metode Elektronik Customer Relationship Management (E-CRM) untuk mengembangkan sistem informasi penjualan dan pemesanan dengan menggunakan bahasa pemprograman PHP dan database MySQL. Metode E-CRM  diharapkan dapat membantu dan mempermudah pelaku usaha untuk memperluas promosi, penjualan dan bagi pelanggan untuk memudahkan dalam proses pemilihan jenis keripik. Kata Kunci : produksi keripik, E-CRM, penjualan 
Expert System dengan CBR Method untuk Identifikasi Penyakit pada Hewan Felis Catus Kasinun Kasinun; Riki Andri Yusda; Indra Ramadona Harahap
J-Com (Journal of Computer) Vol 2, No 3 (2022): November 2022
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v2i3.1919

Abstract

Abstract: Cats are pets that are loved by humans, including people in Indonesia. People who keep cats need to pay attention to and maintain the health of cats to avoid all diseases. The Angora cat is one of the cat breeds that has its own charm for cat lovers. In their care, not a few Angora cat owners do not understand how to take good care of Angora cats so that they can cause the animal to get sick. The lack of knowledge possessed by cat owners about the diseases experienced by their favorite animals can lead to misdiagnosis and inappropriate handling. Kianna Pet Shop and Animal Care is a veterinary clinic located on Jalan Imam Bonjol, Komplek Ruko Kota Mas, Kisaran, Asahan Regency. Kianna Pet Shop and Animal Care has many customers who trust Kianna Pet Shop and Animal Care to treat their pets. Kianna Pet Shop and Animal Care only has one veterinarian and one assistant. Angora cat diseases in general that are often treated at Kianna Pet Shop and Animal Care are fungus, FLUTD, feline calicivirus, fleas, cat flu, intestinal worms, hematoma (blood clots), chlamydiosis and diarrhea. To overcome these problems, an expert system was created using the Case Based Reasoning (CBR) method which will facilitate communication and consultation between veterinarians and Angora cat owners. Keywords: expert system; CBR method; animal felis catus  Abstrak:Kucing adalah hewan peliharaan yang banyak digemari oleh manusia, termasuk masyarakat di Indonesia. Masyarakat yang memelihara kucing perlu memperhatikan dan menjaga kesehatan kucing agar terhindar dari segala penyakit. Kucing anggora salah satu ras kucing yang memiliki daya tarik tersendiri bagi pecinta kucing. Dalam perawatannya, tak sedikit pemilik kucing anggora yang kurang memahami bagaimana cara merawat kucing anggora dengan baik sehingga dapat menyebabkan hewan tersebut terserang penyakit. Kurangnya pengetahuan yang dimiliki oleh pemilik kucing tentang penyakit yang dialami oleh hewan kesayangannya itu dapat mengakibatkan kesalahan diagnosa serta penanganan yang tidak sesuai. Kianna Pet Shop and Animal Care memiliki banyak pelanggan yang memberikan kepercayaan terhadap Kianna Pet Shop and Animal Care untuk mengobati hewan peliharaannya. Kianna Pet Shop and Animal Care hanya memiliki satu orang dokter hewan dan satu orang asisten. Penyakit kucing anggora pada umumnya yang sering berobat di Kianna Pet Shop and Animal Care yaitu jamur, FLUTD, feline calicivirus, kutu, cat flu, cacingan, hematoma (pembekuan darah), chlamydiosis dan diare. Mengatasi permasalahan tersebut maka dibuat suatu sistem pakar menggunakan metode Case Based Reasoning (CBR) yang akan mempermudah komunikasi dan konsultasi antara dokter hewan dan pemilik kucing anggora. Kata kunci: expert system; CBR method; hewan felis catus 
Co-Authors afrisawati, Afrisawati Akmal Akmal Andri Nata Arridah Zikra Syah Arridah Zikra Syah Arridha Zikra Syah Azhar Robbi Dayus Dahriansah - Dewi Maharani Dinda Pratiwi Eska, Juna Havid Syafwan Hernita Samosir Indah Wahyuni Bugis Intan Agustina Jhonson Efendi Hutagalung Kasinun Kasinun Muhammad Amin Novica Irawati Nur Adlina Putri Radikasari Siregar Riki Andri Yusda Siregar, Wahyuni Wahyuni Siregar Wahyuni Sirgar Zulkarnain Sirait