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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) JUKI : Jurnal Komputer dan Informatika Bulletin of Multi-Disciplinary Science and Applied Technology TECHSI - Jurnal Teknik Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Pengabdian Pada Masyarakat METHABDI
., Novriyenni
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PELATIHAN PEMBUATAN ECO ENZYM SECARA ONLINE DARI SAMPAH BUAH DAN SAYURAN SEBAGAI DISINFECTANT DAN HAND SANITIZER HERBAL KEPADA GURU-GURU SMK PUSAT KEUNGGULAN Lina Arliana Nur Kadim; Indah Ambarita; Yani Maulita; Novriyenni Novriyenni; Magdalena Simanjuntak; Suci Rahmadani; Ahmad Fauzi; Anton Sihombing
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 2 No 1 (2022): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1172.528 KB) | DOI: 10.46880/methabdi.Vol2No1.pp17-20

Abstract

Garbage is a waste material as a result of human activities which is a material that can no longer be used. Waste is solid waste consisting of organic and inorganic substances which are considered useless and must be managed so as not to harm the environment. Including organic waste, one of which is waste that comes from kitchen waste in every household, namely fruit and vegetable peel waste. Waste processing to reduce pollution and preserve the environment is to process waste into Eco Enzymes. The purpose of making Eco Enzyme is to process enzymes from organic waste that are usually thrown into trash cans into disinfectants and hand sanitizers.
Penerapan Metode Convolutional Neural Network Untuk Mendeteksi Wajah Yang Menggunakan Masker Awanda Awanda; Budi Serasi Ginting; Novriyenni Novriyenni
Jurnal Informatika Kaputama (JIK) Vol 6 No 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v6i2.121

Abstract

Pada tahun 2019 sedang terjadi pandemi virus bernama Coronavirus Disease 2019 (covid-19) yang sedang melanda banyak negara. Covid-19 sendiri berasal dari virus Severe Acute Respiratory Snydrome Coronavirus 2 (SARS-Cov-2) yang dapat menginfeksi sistem pernapasan manusia. Cara efektif untuk mengatasi penyebaran wabah tersebut adalah dengan menggunakan masker dan menaati protokol Kesehatan.Dengan program ini diharapkan mampu mendeteksi wajah yang menggunakan masker atau tidak. Program ini akan mendeteksi wajah secara realtime. Program tersebut nantinya akan berjalan dengan webcam laptop dengan cara mendeteksi wajah apakah menggunakan masker atau tidak. Program ini nantinya akan menggunakan bahasa pemrograman python dengan framework tensorflow yang mengadopsi konsep convolutional neural network. Convolutional Neural Network termasuk salah satu deep learning. Deep Learning merupakan sub-set dari machine learning. Di dunia machine learning akan terdapat dataset untuk program tersebut dapat mempelajari pola gambar. Dataset tersebut nantinya akan diisi oleh gambar wajah yang menggunakan masker dan yang tidak menggunakan masker. Nantinya gambar-gambar tersebut akan dipisah dipisah menjadi beberapa folder.
PEMODELAN PENGISIAN PULSA LISTRIK PRABAYAR BERBASIS SHORT MESSAGE SERVICE (SMS) Rahmad Syahputra; Novriyenni Novriyenni; Akim Manaor Hara Pardede
Jurnal Informatika Kaputama (JIK) Vol 4 No 1 (2020): Volume 4, Nomor 1, Januari 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v4i1.355

Abstract

Smart Electricity or probaya electricity is a government program. Electricity is the main need of the community, without electricity, the economy is totally stuck, because many large factories and industries use electricity and depend on electricity. Prepaid kWh meter is one of the innovations that has been carried out by PLN in order to facilitate service to the community. Where the customer must pay in advance for the electrical energy that will be used, so that the use of electrical energy can be controlled by the customer according to their needs and abilities. People buy credit / electricity tokens then input the token code into Prepaid Meters (MPB), MPB automatically reads the serial token number and displays the number of kWh according to the amount purchased. The problem that often arises is the impractical process of inputting the token serial number into the MPB. This study made a SMS-based prepaid electricity charging model. The design of this MPB has three general parts, namely Modems that will message the homeowners, volt meter and ampere meter sensors to detect electrical power, and the brain, which is the microcontroller part of ATMega8535. This microcontroller will control all the running of the system contained in this MPB system. That is controlling the input system in the form of sensors, controlling the modem as a message reminder, controlling the input of electric current.
Penerapan Data Mining Pengelompokan Data Pada Penghasilan Orang Tua Siswa Menggunakan Metode Clustering Algoritma K-Means Pada SMA Negeri 1 Selesai Sella Defita Br. Manurung; Magdalena Simanjuntak; Novriyenni
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v6i2.160

Abstract

Penyebab siswa tidak melanjutkan pendidikan adalah factor ekonomi orang tua yangmempengaruhi, Oleh sebab itu, dari pihak sekolah tidak ingin siswanya putus sekolahkarena orang tua siswa tidak mampu membayar secara lunas biaya pendidikan setiapsemester. Maka sekolah membutuhkan sebuah sistem yang dapat mengelompokkansiswanya, berdasarkan penghasilan orang tua siswa dan berbagai kriteria pertimbanganlainya. Sehingga sekolah dapat memberikan penundaan pembayaran setiap semester, padasiswa yang tepat dan tidak salah sasaran sehingga siswa dapat menyelesaikanpendidikannya tampa terbebani dengan baiya pendidikan yang belum lunas. Salah satupendekatan yang di gunakan dalam mengembangkan metode clustering yaitu metode KMeans, dimana metode ini merupakan salah satu metode pengelompokan data nonhierarki(sekatan) yang berusaha mempartisipasi data kedalam bentuk dua atau lebih. Tetapi kalaucluster tidak harus akan tetapi pengelompokanya berdasarkan pada kedekatan dari suatukarakeristik simple yang ada, salah satunya dengan menggunkan rumus jarak eclulden.Aplikasih cluster ini sangat banyak, karena hampir dalam mengidentifikasihkanpermasalahan atau pengembalian keputusan selalu tidak sama persis akan tetapi cenderungmemiliki kemiripan saja.
Sistem Pendukung Keputusan Penentuan Kelas Unggulan Pada Siswa baru di SMK Negeri Binjai Menggunakan Metode SMART (STUDI KASUS: SMK NEGERI 1 BINJAI) Kiki Angel; Novriyenni Novriyenni; Anton Sihombing
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v6i2.172

Abstract

Siswa kelas unggulan merupakan siswa yang terdiri dari orang-orang pilihan yang memilikikemampuan yang lebih menonjol bila dibandingkan dengan siswa kelas biasa. SMK N 1 Binjai merupakansalah satu sekolah yang sudah menerapkan adanya pemilihan kelas unggulan dimana tiap tahunnya sekolahtersebut menyeleksi siswa baru untuk masuk ke kelas unggulan. Proses pemilihannya masih menggunakansistem manual. Pemilihan dengan cara tersebut akan membutuhkan waktu yang cukup lama sehingga tidakefektif dan efisien. Sistem ini dirancang menggunakan metode Simple Multi-Attribute Rating Technique(SMART) dimana dalam setiap kriteria diberi bobot kemudian dihitung dengan menggunakan rumusSMART. Teknik pengambilan keputusan multi kriteria ini didasarkan pada teori bahwa setiap alternatifterdiri dari sejumlah kriteria yang memiliki nilai-nilai dan setiap kriteria memiliki bobot yangmenggambarkan seberapa penting kriteria tersebut dengan kriteria lain. Hasil dari penelitian berupa outputsistem rekomendasi siswa yang akan masuk kelas unggulan. Manfaat penelitian ini memberikan mediainformasi pengambilan keputusan bagi pihak sekolah untuk memutuskan siswa yang layak masuk ke kelasunggulan.
Sistem Pendukung Keputusan Penerima Zakat Menggunakan Metode Simple Multi Attribute Rating Technique (SMART) (STUDI KASUS: Kantor Baznas Kota Binjai) Novita Sari; Novriyenni Novriyenni; Tio Ria Pasaribu
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v6i2.177

Abstract

Banyak permasalahan yang dapat diselesaikan dengan menggunakan Sistem Pendukung Keputusan (SPK). Salah satunya adalah menentukan penerimaan zakat, ada beberapa metode yang dapat digunakan dalam membangun suatu Sistem Pendukung Keputusan (SPK) di antaranya Simple Multi Attribute Raiting Technique (SMART). Metode ini adalah metode penentuan Rangking, dimana proses rangking di berikan kepada masing-masing kriteria yaitu status pekerjaan, setatus tempat tinggal, kondisi kesehatan, pendapatan dan jumlah tanggungan keluarga . Jumlah alternatif sebanyak 15 (lima). Setelah semua nilai kriteria di masukkan maka hasil dari perhitungan dengan menggunakan metode SMART akan di rangking kan hingga di dapat sebuah rangking pembobotan dimana hasil dari perangkingan alternatif yang di gunakan bahwa yang sangat layak menerima zakat dengan nilai terbesar adalah Alternatif A10 dengan rangking 1 atas nama Lasmik dengan nilai 0,162
Design of a Temperature Control and Object Motion Detection System in the Server Room Using IOT-Based Wemos D1 Rizky Hidayat; Novriyenni Novriyenni; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.318

Abstract

Servers play an important role in managing information and managing network traffic within an agency. It contains various types of network devices that must be kept on every day to provide the best service. This leads to the importance of maintaining server presence, such as paying attention to room humidity, regulating temperature and monitoring server room movements to keep it under control. The air temperature in the server room is set within 20 - 25 degrees Celsius with a relative humidity of 40 - 55%. In this context, the concept of the Internet of Things (IoT) emerges as a potential solution by connecting physical objects via the internet. This research designs and builds an IoT-based temperature control and object motion detection system using a DHT22 sensor to measure the temperature in the room and a PIR sensor to detect human movement. Hardware components such as Wemos D1, Buzzer, Relay 2 channel 5v, and others are used to control the system via a smartphone. The software used includes the Arduino IDE. This system aims to monitor and control room temperature and object movement detection systems intelligently, prevent overheating, reduce the risk of loss and combine the advantages of IoT technology to create a temperature control and motion detection system that is responsive to room temperature and the movement of objects in the room.
Application of Case Based Reasoning Method to Diagnose Rice Plant Diseases Windi Tamara Windi; Novriyenni; Husnul Khair
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.372

Abstract

Rice (Latin: Oryza sativa) is one of the most important cultivated crops in civilization. Although it mainly refers to a type of cultivated plant, rice is also used to refer to several types of the same genus (genus), commonly referred to as wild rice. The problem that often arises is that many rice plants are susceptible to pests and diseases during the planting period. Some pests and diseases that can attack rice plants include: leaf blight, grass, tongguo, rice spout, and dwarf grass. Generally, when rice plants are attacked by pests and diseases, farmers will immediately use pesticides or treatment methods that are sometimes not in accordance with pests. As a result, treatment is not optimal and can even cause new pests and diseases. The purpose of this study is to assist farmers in identifying early symptoms of plant diseases and pests of rice plant diseases using the case base reasoning method, so that the treatment of plant diseases and insect pests is more concentrated and maximal.
Expert System for Diagnosing Lipoma Disease in Hospital Patients Latersia Using the Certainty Factor (CF) Method Muhammad Al Hafiz; Novriyenni; Fuzy Yustika Manik
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.376

Abstract

Lipoma disease is a disease characterized by a lump filled with a layer of fat that gradually accumulates under the skin, where this lump is between the skin and the muscle layer. This disease often appears on the neck, back, shoulders, arms, and thighs. In general, fat lumps or lipomas can be said to have slow growth between the skin and muscle layers. People tend to just let the lumps happen to them and think they are just normal lumps, without carrying out further examinations. The queue to see a doctor for further examination is also a factor. Therefore, it is necessary to make efforts so that the public can obtain information and be able to diagnose lipoma early without having to visit a doctor. From the description above, it is the basis for building a system that can provide information on lipoma disease and diagnose lipoma disease early. The system to be built can produce an early diagnosis analysis based on symptoms that are felt like a doctor, this system is commonly called an expert system, to support accuracy in building an expert system a method is needed in the analysis of its completion. One of the methods to be used is Certainty Factor (CF). The CF method is a clinical parameter value given by MYCIN to indicate the level of trust. The php programming language and MySQL database can build a system for diagnosing lipoma disease using the Certainty Factor method. type of lipoma Lipo Sarcoma 42.24%, Spindle cell lipoma, 56.59%, Myxoid liposarcoma 51.36%, Hibernoma 32%, Intramuscular hemangioma 51.48%, Chondroid lipoma 51.48%, Atypical lipoma 24%. From these results it can be said that the greatest confidence value is the type of Spindle cell lipoma disease with a confidence value of 56.59%.
SIMULASI ANTRIAN KANTOR POS BINJAI MENGGUNAKAN DISTRIBUSI PELAYANAN WEIBULL Wisnu Satriyo Jati; Akim Manaor Hara Pardede; Novriyenni Novriyenni
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v6i2.208

Abstract

Antrian terjadi ketika suatu kedatangan tidak dapat diimbangi oleh pelayanan yang ada, sehingga mengakibatkan keterlambatan pada fasilitas layanan. Situasi dalam menunggu juga merupakan bagian dari keadaan yang terjadi dalam rangkaian kegiatan operasional yang bersifat acak atau tidak beraturan dalam fasilitas pelayanan. Dalam sistem antrian terkadang mengalami masalah, masalah muncul karena banyaknya antrian yang dilayani. Simulasi antrian merupakansuatu model meniru suatu sistem nyata tanpa harus mengalami pada keadaan yang sesungguhnya dan dapat mengetahui efektivitas dari sebuah sistem berdasarkan simulasi yang ada. Pada penelitian ini waktu antar kedatangan menggunakan distribusi Eksponensial dan distribusi pelayanan menggunakan Weibull, menghasilkan rata-rata waktu tunggu antrian(Wq), rata-rata waktu tunggu sistem(Ws), rata-rata jumlah pelanggan dalam antrian(Lq), rata-rata jumlah pelanggan dalam sistem(Ls), probabilitas Server sibuk(ρ).
Co-Authors Ahmad Fauzi Aldi - Pratama Aldi Pratama Alva Vindo Bangun Ambarita, Indah Andika Andika Andri Syahputra Awanda Awanda Budi Serasi Ginting Budi Serasi Ginting Chairijal Chairijal Ediman Manik Eka Hari Setyawan Ema Yahniar Fuzy Yustika Manik Hamdani, Diky Kadim, Lina Arliana Nur Katen Lumbanbatu Khair, Husnul Kiki Angel Kiki Angel Muhammad Al Hafiz Novita Sari Nurhayati Pardede, Akim Manaor Hara Rahmad Syahputra Rendi Eka Pratama Rika Devi Andayani Rizky Hidayat Sella Defita Br. Manurung Sihombing, Anton Simanjuntak, Magdalena Siswan Syahputra Siti Nurmala Sari Suci Rahmadani Tasya Maysarah Br. Sembiring Tio Ria Pasaribu Windi Tamara Windi Wisnu Satriyo Jati Yani Maulita Yustika Indah Purwanti