Garuda - Garba Rujukan Digital

Data Mining Penjualan Suku Cadang Sepeda Motor Menggunakan Algoritma K-Means Sri Marliska Hutabarat; Anita Sindar
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 2, No 2 (2019): OKTOBER 2019
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Ketersediaan suku cadang sepeda motor di PT. Motorindo Perkasa Raya harus dimonitor untuk menghindari kekosongan barang. Masalah tidak memiliki laporan mengenai sebagian besar barang yang dibeli oleh sebagian besar pelanggan menjadi kendala. Mengolah barang masuk dan keluar yang tidak diproses dengan sistem membutuhkan teknik mengelola barang. Semakin lengkap jenis-jenis suku cadang, kebutuhan pelanggan akan terpenuhi. Pengumpulan suku cadang yang tersedia akan dibagi menjadi beberapa kelompok untuk mendapatkan suku cadang yang paling banyak dibeli pelanggan untuk setiap transaksi. Penambangan data bersumber dari basis data mentah. Ini menimbulkan masalah dalam database yang cenderung dinamis, lengkap, membumi dan besar. Algoritma k-berarti Clustering mampu dan efektif untuk menemukan cluster dalam data. Halaman pengguna formulir perhitungan ini akan menentukan jumlah cluster pada pusat perhitungan dan iterasi maksimum data yang telah dimasukkan ke dalam sistem. Tujuan dari penerapan K-mean adalah untuk menemukan nilai dari barang yang dibeli oleh sebagian besar pelanggan sehingga memudahkan untuk menyediakan suku cadang. Hasil perhitungan Algoritma K-Mean: C1 (tinggi) ada 14 item, C2 (sedang) ada 2 item, C3 (rendah) ada 74 item.

Algoritma Backpropagation Prediksi Harga Komoditi terhadap Karakteristik Konsumen Produk Kopi Lokal Nasional Petti Indrayati Sijabat; Yuhandri Yuhandri; Gunadi Widi Nurcahyo; Anita Sindar
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 11 No. 1 (2020): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Kopi bagian penting dari komoditi pasar nasional maupun internasional. Secara nasional jenis kopi lokal beragam sesuai nama daerah penghasil mengalami naik turun harga Perlu perencanaan teknologi untuk mengetahui harga kopi ke depan. Peramalan atau prediksi dalam ilmu komputer berkaitan dengan perkiraan berkala produksi, penawaran dan permintaan pada masa tertentu menggunakan alat ukur yang akurat dan teruji. Metode Backpropagation digunakan untuk prediksi harga. Proses algoritma backpropagation antara lain input data, melakukan tahap normalisasi /transformasi data, iterasi, pelatihan dan menentukan parameter jaringan, kalkulasi error, mendapatkan hasil prediksi. Perancangan arsitektur JST, dilakukan penentuan jumlah layer pada lapisan input, lapisan tersembunyi dan lapisan output. Penelitian ini menggunakan Matlab R2013a dengan metode Backpropagation. Pengambilan input, penelusuran error dan penyesuaian bobot berguna untuk menghasilkan nilai prediksi harga kopi. Hasil prediksi harga kopi dari harga aktual 74205 ke hasil harga prediksi 73668 dengan akurasi 99.9928, harga aktual 73892 ke harga prediksi 73175 dengan akurasi 99.9903, harga aktual 77981 ke hasil prediksi 77481 akurasi 99.9936. Kata Kunci: Syaraf Tiruan, Prediksi, Harga Kopi, Backpropagation Abstract Coffee is an important part of the national and international market commodity. Nationally, the types of local coffee vary according to the name of the producing region experiencing ups and downs in price. It needs technology planning to find out the price of coffee going forward. Forecasting or prediction in computer science is related to periodic estimates of production, supply and demand at certain times using accurate and tested measuring tools. Backpropagation method is used for price prediction. The backpropagation algorithm process includes inputting data, performing the normalization / transformation of data, iterating, training and determining network parameters, calculating errors, getting predictive results. The design of the ANN architecture determines the number of layers in the input layer, the hidden layer and the output layer. This research uses Matlab R2013a. Taking input, tracking errors and adjusting weights are useful for producing predictive value of coffee prices. Coffee prediction results from actual prices 74205 to the predicted price of 73668 with an accuracy of 99.9928, the actual price of 73892 to the predicted price of 73175 with an accuracy of 99.9903, the actual price of 77981 to the predicted result of 77481 with an accuracy of 99.9936. Keywords: Neural Networks, Predictions, Coffee Prices, Backpropagation

IDENTIFIKASI BERITA HOAX MENGGUNAKAN FUZZY LOGIC Anita Sindar
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 9 No 1 (2021): JURNAL TEKNOIF ITP
Publisher : ITP Press

Berita palsu dikenal dengan hoax, berasal dari sumber berita yang kebenarannya diragukan. Media sosial menjadi salah satu keberagaman informasi yang ditawarkan dan keleluasaan dalam membentuk koneksi pertemanan. Setiap orang memiliki kebebasan dalam beropini dalam lingkup sedunia. Banyaknya keuntungan yang diperoleh sipembuat berita hoax.Logika Fuzzy memiliki beberapa kelebihan dibanding logika lain. Penggunaan konsep matematis yang mendasari penalaran Logika ini dinilai sangat sederhana, sehingga mudah dimengerti. Selain itu, data-data yang belum tepat tidak akan langsung dinilai, namun dianalisa lebih mendalam dengan batas toleransi tertentu, sehingga dinilai lebih fleksibel. Fuzzy logic menginterpretasikan statemen yang samar menjadi sebuah pengertian yang logis. Penegasan (Defuzzyfikasi), metode penegasan yang digunakan adalah metode centroid. Himpunan fuzzy adalah pengelompokkan sesuatu berdasarkan variabel bahasa (linguistik variabel), yang dinyatakan dengan fungsi keanggotaan dalam semesta U. Keanggotaan suatu nilai pada himpunan dinyatakan dengan derajat keanggotaan yang nilainya antara 0.0 sampai 1.0. penentuan tingkat penentuan berita hoax terhadap masyarakat ditentukan variabel input dan output. Fake news is known as hoax, originating from news sources whose truth is questionable. Social media is one of the diversity of information offered and the flexibility to form friendship connections. Everyone has freedom of opinion on a worldwide basis. There are many advantages to hoax news makers. Fuzzy logic has several advantages over other logics. The use of mathematical concepts that underlie logical reasoning is considered very simple, so it is easy to understand. In addition, inaccurate data will not be immediately assessed, but will be analyzed more deeply with a certain tolerance limit, so that it is considered more flexible. Fuzzy logic interprets vague statements into a logical sense. Affirmation (defuzzyfication), the affirmation method used is the centroid method. A fuzzy set is a grouping of something based on language variables (linguistic variables), which is represented by a membership function in the universe U. Membership of a value in a set is expressed by the degree of membership whose value is between 0.0 to 1.0. determining the level of determining hoax news to the public is determined by the input and output variables.

Optimasi Penugasan Pegawai Menggunakan Metode Hungarian Anita Sindar; Riska Novtari Zendrato
Journal of Innovation Information Technology and Application (JINITA) Vol 1 No 1 (2019): JINITA, December 2019
Publisher : Politeknik Negeri Cilacap

Various ways that companies use to minimize expenses, including maximizing available resources. The division of work is seriously handled aiming that each employee gets a maximum wage according to the work hours specified by the company. Completion of the Hungarian method that is the number of employees employed must be equal to the amount of work that must be completed then in the study the data source of seven employees and seven jobs resulted in a minimum total funding. Optimization is the process of optimizing available resources in order to get effective and efficient results. The Hungarian method uses rows and columns to be an effectiveness matrix until a single zero component appears in each row or column that can be selected as assignment allocation. The division of tasks is the maximum if the employee does one job in one time period. To minimize the budget expenditure for overtime salary payments, minimization of funding sources and time spent on completing work are carried out. The results of research using the Hungarian Method, obtain financing minimization with one employee doing one job. Order of optimization results of minimization of assignments III, VII, VI, II, I, V and IV.

Sistem Pakar Menentukan Kelas Anak Berkebutuhan Khusus dengan Metode Certainty Factor pada SLB Negeri Serdang Bedagai Elisa Nur Armaini; Anita Sindar
Journal of Innovation Information Technology and Application (JINITA) Vol 3 (2021): JINITA, December 2021
Publisher : Politeknik Negeri Cilacap

Parents need to understand the child's condition from an early age, pay attention to the behavior of children who are growing normally in general so that they can take various actions and also other things that are considered important related to the child's future. Choosing to enroll children in special schools is certainly supported by the daily lives of children who do require special behavior in studying school learning. The formulation of the research problem is to determine the class of children with special needs using the Certainty Factor method based on the diagnosis of symptom and characteristic data that can help teachers and parents get information about the types of characteristics of children with special needs students at the State Special School (SLBN) Serdang Bedagai. The characteristics of children with special needs according to the data on the number of symptoms and characteristics discussed are 52 symptoms and 5 characteristics. (Autism JK01, Tuna Grahita JK02, Deafblind JK03, Blind JK04, Tuna Daksa JK05. This application can help teachers and parents find out the characteristics of children with special needs quickly and accurately. This application can be used in every special school to determine early knowing the types of characteristics of children with special needs

Identifikasi Berita Black Campaign Bersama Polsek Beringin Melalui Kegiatan Pengabdian Pengembangan Sistem SIHox Anita Sindar; Ravindran; Sumitra Dewi
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v4i1.115

People tend to use Internet features to respond to social media or update their opinions without considering the consequences of the opinions expressed. Issues identified include low public awareness, checking the truth and authenticity of news, and being more careful when sharing content on social media and browsing the internet. A fundamental contribution to the target audience in implementing community services is building a system for identifying black campaign messages. News analysis, which falls under Black campaign, is performed interactively through a process of reduction, data viewing, and validation. The system is systematically developed through the phases of system analysis (analyst), system construction (construction), coding (coding), system test (test), and system maintenance (maintenance). After the SIHox application was socialized and simulated, it was found that it took Beringin Police a very short time to identify online messages containing black campaigns. The system simulation success rate was 87% and the service implementation team had a performance score of 90.

Pengenalan Data Scientist Pada Peserta PKBM AL HABIB Melalui Belajar Dasar Coding Python Arjon Sitio; Anita Sindar; Murni Marbun; Dinda Tiara; Aswin Aswin
Jurnal Pengabdian Pada Masyarakat Vol 7 No 1 (2022): Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Mathla'ul Anwar Banten

Data scientist is a profession that is claimed to be excellent in the 21st century by many experts from big companies in the world. The area of competence that really needs to be mastered by job seekers other than office computers is Data Scientist skills. For the younger generation, talking about Data Scientist is related to programming or coding. Things that have never been done at PKBM Al Habib. With the service program from the STMIK Pelita Nusantara in collaboration with PKBM Al Habib, Introduction of Data Scientist was carried out for PKBM Al Habib Participants through Basic Python Coding Learning. The purpose of the activity is to introduce Data Scientists to members of the Al Habib PKBM training or course so as to produce Data Scientists through learning basic python coding. The achievement of this training is that participants are able to recognize and master the basics of Python programming.

PEMANFAATAN LITERASI DIGITAL DALAM PENINGKATAN SKILL PEMROGRAMAN Anita Sindar; Arjon Samuel Sitio; Feby Ginting; Sethu Ramen
Jurnal Visi Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2023): Jurnal Visi Pengabdian Kepada Masyarakat : Edisi Agustus 2023
Publisher : LPPM Universitas HKBP Nommensen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51622/pengabdian.v4i2.1336

The dissemination of technological, scientific, social and cultural advances is very important to inform the community so that the implementation of learning activities is integrated with the educational curriculum. The development of science and technology must be applied directly and precisely to the school environment. Policy holders carry out strict supervision of school activities, especially so that students wisely, creatively and responsibly use digital devices. Achievement-based learning expands space for activities in formulating learning objectives. This activity applies the teaching model of lectures and practice (demonstrations). The fundamental role of the target audience is to increase the use of digital literacy media as a learning tool. The target of the activities for Grade 10 SMA Gajah Mada students aims to motivate students to explore their potential and talents by utilizing internet media as a learning resource according to the topics of interest. This activity utilizes digital hard and soft computer media.

Identifikasi Berita Black Campaign Bersama Polsek Beringin Melalui Kegiatan Pengabdian Pengembangan Sistem SIHox Anita Sindar; Ravindran; Sumitra Dewi
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v4i1.115

People tend to use Internet features to respond to social media or update their opinions without considering the consequences of the opinions expressed. Issues identified include low public awareness, checking the truth and authenticity of news, and being more careful when sharing content on social media and browsing the internet. A fundamental contribution to the target audience in implementing community services is building a system for identifying black campaign messages. News analysis, which falls under Black campaign, is performed interactively through a process of reduction, data viewing, and validation. The system is systematically developed through the phases of system analysis (analyst), system construction (construction), coding (coding), system test (test), and system maintenance (maintenance). After the SIHox application was socialized and simulated, it was found that it took Beringin Police a very short time to identify online messages containing black campaigns. The system simulation success rate was 87% and the service implementation team had a performance score of 90.

Data Mining Penjualan Suku Cadang Sepeda Motor Menggunakan Algoritma K-Means Sri Marliska Hutabarat; Anita Sindar
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 2, No 2 (2019): OKTOBER 2019
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v2i2.1555

Ketersediaan suku cadang sepeda motor di PT. Motorindo Perkasa Raya harus dimonitor untuk menghindari kekosongan barang. Masalah tidak memiliki laporan mengenai sebagian besar barang yang dibeli oleh sebagian besar pelanggan menjadi kendala. Mengolah barang masuk dan keluar yang tidak diproses dengan sistem membutuhkan teknik mengelola barang. Semakin lengkap jenis-jenis suku cadang, kebutuhan pelanggan akan terpenuhi. Pengumpulan suku cadang yang tersedia akan dibagi menjadi beberapa kelompok untuk mendapatkan suku cadang yang paling banyak dibeli pelanggan untuk setiap transaksi. Penambangan data bersumber dari basis data mentah. Ini menimbulkan masalah dalam database yang cenderung dinamis, lengkap, membumi dan besar. Algoritma k-berarti Clustering mampu dan efektif untuk menemukan cluster dalam data. Halaman pengguna formulir perhitungan ini akan menentukan jumlah cluster pada pusat perhitungan dan iterasi maksimum data yang telah dimasukkan ke dalam sistem. Tujuan dari penerapan K-mean adalah untuk menemukan nilai dari barang yang dibeli oleh sebagian besar pelanggan sehingga memudahkan untuk menyediakan suku cadang. Hasil perhitungan Algoritma K-Mean: C1 (tinggi) ada 14 item, C2 (sedang) ada 2 item, C3 (rendah) ada 74 item.

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