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All Journal JUTEKIN (Jurnal Manajemen Informatika) INTEK: Informatika dan Teknologi Informasi Building of Informatics, Technology and Science Journal of Computer Networks, Architecture and High Performance Computing Jurnal Dinamika Informatika (JDI) STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Jurnal Inovasi Akuntansi
Zulaini Masruro Nasution
STIKOM Tunas Bangsa
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Other

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Model Clustering Algoritma K-Mean Dalam Menentukan Kriteria Kondisi Gizi Balita Dan Anak khairul zannah; Sumarno Sumarno; Zulaini Masruro Nasution; Iin Parlina; Ika Purnama Sari
Jurnal Dinamika Informatika Vol 11 No 1 (2022): Jurnal Dinamika Informatika Vol.11 No.1
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (892.902 KB)

Abstract

The current level of health for toddlers and children is still a challenge in every region. Nutrition is very important for toddlers and children, a balanced nutritional value is very good in the process of growth and development of toddlers and children, especially in influencing height and weight growth, motor development, and daily activities. The problem currently being experienced in Nagori Sitalasari is that there are still many parents who do not know the value of balanced nutrition for toddlers and children, there are still toddlers and children who are still malnourished or stunted based on age and weight. The method used in this research is literature study and observation. This study will group or cluster the nutritional values of toddlers with reference to the parameters of toddler age, toddler height and toddler weight using the K-Means Clustering algorithm into 3 (three) categories, namely poor nutrition, good nutrition and obesity. The results of the research conducted can classify the nutritional value of children under five in general so that it can be used as a basis for early prevention for posyandu cadres to overcome malnutrition and obesity.
Implementation of Data Mining Using C4.5 Algorithm on Customer Satisfaction in Tirta Lihou PDAM Titin Handayani Sinaga; Anjar Wanto; Indra Gunawan; Sumarno Sumarno; Zulaini Masruro Nasution
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 1 (2021): Computer Networks, Architecture and High Performance Computing, January 2021
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i1.923

Abstract

This application applies the C4.5 Algorithm to decide customer satisfaction, the C4.5 algorithm is one of the algorithms used to classify or segment, or group and it is predictive. This type of research is a classification with the concept of data mining involving 150 customers of PDAM Tirta Lihou in Totap Majawa Kab. Simalungun can be categorized as: "Satisfied and Dissatisfied". The meaning of Data Mining is an interdisciplinary subfield of computer science and statistics with the overall objective of extracting information (with intelligent methods) from data sets and converting information into understandable structures for further use. There are 5 criteria that can affect customer satisfaction, among others: Service Facilities (x1), Price Rates (x2), Smooth Water (x3), Corporate Image (x4), and Location (x5). The results of processing the C4.5 method using the RapidMiner Studio 5.3 software mean that Rapid Miner is a solution for analyzing data mining, text mining, and predictive analysis. Rapid Miner uses various descriptive and predictive techniques in providing insight to users so that they can make the best decisions with the level of accuracy, namely, class recall and class precision values, it is explained that the "Satisfied" category produces a class recall of 97.80% and a class precision of 97.80%. 98.89% and the "Not Satisfied" category resulted in a class recall of 98.31% and a class of precision of 96.67%. And the above accuracy results from the calculation of the C4.5 algorithm is 98.0%. Keywords: C4.5 Algorithm, Data Mining, Customer Satisfaction, PDAM Tirta Lihou
Perancangan Hotspot Server Untuk User Authentication dan Limit Bandwidth Menggunakan Mikrotik RB941 (Studi Kasus: Usaha Bandwidth) Iqbal Giffari Ritonga; Sumarno Sumarno; Indra Gunawan; Zulaini Masruro Nasution
Building of Informatics, Technology and Science (BITS) Vol 1 No 2 (2019): BITS, Desember 2019
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (345.394 KB) | DOI: 10.47065/bits.v1i2.26

Abstract

The research was carried out on the Bandwidth Business on Sinta Pohan Street Pematangsiantar where there was a problem that customers who bought WiFi passwords told other people who were not customers and lagged at the same time when customers access the internet and small WiFi coverage. This problem can be overcome by Mikrotik RB941 which is configured Hotspot Server and adds an Access Point in the business area. The purpose of this study is to use the Hotspot Server function, namely User Authentication and Limit Bandwidth for the authentication process and the Access Point function to strengthen WiFi signal coverage.
Penerapan Arduino Uno Atmega 328P dalam Membangun Alat Penyemprot Cairan Pestisida Otomatis Radiftiya Indraswira; Poningsih Poningsih; Suhada Suhada; Indra Gunawan; Zulaini Masruro Nasution
INTEK : Jurnal Informatika dan Teknologi Informasi Vol. 4 No. 2 (2021)
Publisher : Universitas Muhammadiyah Purworejo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37729/intek.v4i2.1677

Abstract

Pembudidayaan perkebunan kelapa sawit di Indonesia berkembang sangat pesat, baik itu milik individu maupun milik perusahaan. Namun, ada masalah yang mengambat dalam proses budidaya tanaman kelapa sawit tersebut. Salah satunya Penyemprotan tanaman kelapa sawit di perkebunan masih mengalami kendala, pekerja masih harus mengecek secara manual dengan mengunjungi lahan untuk melihat kondisi tanaman. Maka dari itu di buat alat untuk menyemprot pestisida secara otomatis. Dengan bantuan Arduino Uno dan sensor pendukung yaitu sensor Real Time Clock dan sensor Relay. Penggunan timer merupakan salah satu metode yang membantu pekerjaan menjadi lebih mudah dan mempersingkat waktu Tujuan dari penelitian ini merubah peran manusia untuk merawat tanaman kelapa sawit dalam membasmi gulma. Metode yang digunakan dalam penelitian ini yaitu metode observasi dengan pengamatan secara langsung terhadap objek yang diteliti kemudian dilakukan perancangan dan studi literature sebagai penunjang informasi yang mendukung penelitian ini. Hasil dari penelitian ini berupa alat penyemprot pestisida otomatis menggunakan timer yang dirancang menggunakan Arduino Uno Atmega 328P. Dengan adanya alat ini di harapkan dapat membantu pekerjaan menjadi lebih mudah dan efisien karena alat ini akan memompa pestisidah secara otomatis.
MODEL CLUSTERING MENGGUNAKAN ALGORITMA K-MEAN DALAM MENENTUKAN KRITERIA KONDISI GIZI BALITA DAN ANAK Khairul Zannah; Sumarno Sumarno; Zulaini Masruro Nasution; Iin Parlina; Ika Purnama Sari
JUTEKIN (Jurnal Teknik Informatika) Vol 10, No 1 (2022): JUTEKIN
Publisher : LPPM STMIK DCI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51530/jutekin.v10i1.568

Abstract

Tingkat kesehatan pada balita dan anak pada saat ini masih menjadi sebuah tantang di setia daerah. Gizi sangatlah penting bagi balita dan anak, nilai gizi yang seimbang sangat baik dalam proses tumbuh kembang balita dan anak terutama dalam mempengaruhi pertumbuhan tinggi dan berat, perkembangan motorik, dan aktivitas keseharian. Permasalahan yang saat ini dialami di Nagori Sitalasari masih banyaknya orang tua yang tidak mengetahui nilai gizi yang seimbang bagi balita dan anak, masih ditemukan balita dan anak yang masih kurang gizi atau stunting berdasarkan usia dan berat badan. Metode yang digunakan dalam penelitian ini adalah studi literature dan observasi. Penelitian ini akan di kelompokan atau klasterisasi nilai gizi balita dengan acuan parameter usia balita, tinggi badan balita dan berat badan balita menggunakan algoritma K-Means Clustering menjadi 3 (tiga) kategori yaitu gizi buruk, gizi baik dan obesitas. Hasil dari penelitian yang dilakukan dapat mengklasifikasi nilai gizi balita secara umum agar dapat digunakan sebagai landasan pencegahan dini bagi para kader posyandu menanggulangi gizi buruk serta obesitas.Kata Kunci: Algoritma K-Means, Balita, Clustering dan Gizi.
PEMANFAATAN ALGORITMA AES UNTUK KEAMANANN DATA KARYAWAN PT. TELKOM INDONESIA PEMATANGSIANTAR M. Fahri H Damanik; Indra Gunawan; Zulaini Masruro Nasution; Sumarno; Ika Okta Kirana
STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Vol. 1 No. 1 (2022): Februari
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (693.675 KB) | DOI: 10.55123/storage.v1i1.157

Abstract

PT. TELKOM Indonesia (Persero) tbk merupakan Badan Usaha Milik Negara (BUMN) yang bergerak dibidang jasa layanan teknologi, informasi dan komunikasi (TIK). Pemegang saham mayoritas Telkom adalah Pemerintah Republik Indonesia sebesar 52.09%, sedangkan 47.91% sisanya dikuasai oleh Publik. Perusahaan tersebut menggunakan teknologi komputer yang diterapkan dalam pelayanannya, Penggunaan komputer dalam penyimpanan data karyawan maupun data-data penting yang bersifat rahasia lainnya. Untuk menghindari terjadinya pencurian dan manipulasi data maka perlu diterapkannya sebuah sistem keamanan. Salah satu metode yang dapat digunakan dalam pengamanan data atau informasi adalah algoritma Advanced Encryption Standard (AES). Penerapan algoritma kriptografi AES dalam pengamanan data menunjukkan bahwa algoritma ini dapat menghasilkan enkripsi yang tidak dapat dibaca atau dimengerti manusia dan menghasilkan dekripsi yang sama persis dengan data awal yang di inputkan. Perbedaan kunci yang digunakan serta ukuran suatu file ikut mempengaruhi waktu yang dibutuhkan untuk melakukan proses enkripsi dan dekripsi.
Implementasi Sosialisasi Pasar Modal Syariah untuk Meningkatkan Minat Investor Muda dalam Berinvestasi Zulia Almaida Siregar; Zulaini Masruro Nasution; Ika Okta Kirana; Asmarani Nasution; Fitri Rizki
Jurnal Inovasi Akuntansi (JIA) Vol. 1 No. 2 (2023)
Publisher : Program Studi Akuntansi Fakultas Ekonomi dan Bisnis Universitas Mahasaraswati Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36733/jia.v1i2.7724

Abstract

Investments are mu'amalah activities that are highly recommended in Islam, therefore the sharia capital market is present as a means of investment for Muslims who want to invest in accordance with sharia principles. The purpose of this study was to determine the extent of the implementation of socialization carried out by related parties in influencing the interest of young people in this case students at STIKOM Tunas Bangsa Pematangsiantar to invest in the sharia capital market. This type of research is field research (field research) and the nature of the research is descriptive qualitative. The data collection techniques used are interviews and documentation and data analysis techniques using inductive thinking. The results showed that the implementation of syrai'ah capital market socialization among young people greatly influenced interest and increased motivation to invest in the sharia capital market. The implication is that they invest in shares in the sharia capital market, this is influenced by the perceptions they have about an established future, a person who has good financial intuition, a firm attitude in making decisions in building individual economies in the future, strong motivation to invest for personal welfare and service.
Co-Authors Asmarani Nasution Fitri Rizki Iin Parlina Ika Okta Kirana Ika Purnama Sari Indra Gunawan Iqbal Giffari Ritonga khairul zannah M. Fahri H Damanik Poningsih Poningsih Radiftiya Indraswira Suhada Suhada Sumarno Sumarno Sumarno Titin Handayani Sinaga Wanto, Anjar Zulia Almaida Siregar