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All Journal JTIK (Jurnal Teknik Informatika Kaputama) International Journal of Health, Engineering and Technology Nusantara Journal of Multidisciplinary Science Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi
Hotler Manurung
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Dentistry Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary

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ALGORITMA VIGENERE CIPHER DAN HILL CIPHER DALAM APLIKASI KEAMANAN DATA PADA FILE DOKUMEN Akim Manaor Hara Padede; Hotler Manurung; Dina Filina
JTIK (Jurnal Teknik Informatika Kaputama) Vol 1, No 1 (2017)
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.802 KB)

Abstract

Perkembangan kriptografi terus berlanjut walaupun algoritma yang terkemuka dan dinilai kompleks sudah mulaibisa dipecahkan. Algoritma- algoritma kriptografi klasik seperti Hill Cipher dan Vigenere Cipher pin memilikikelemahan akan kriptanalisis. Algoritma hill cipher dan vigenere cipher merupakan salah satu metode daribeberapa metode yang digunakan untuk melakukan kerahasian data, hill cipher adalah algoritma keamanan datamenggunakan perhitungan perkalian matriks, sedangkan vigenere cipher adalah algoritma yang melakukanenkripsi sekaligus sebuah teks yang terdiri dari beberapa huruf. Jika kedua algoritma diatas dikombinasikandalam sebuah aplikasi keamanan data, maka akan lebih sulit memecahkan sandinya bila dibandingkan denganhanya menggunakan satu algoritma saja. Penggabungan antara dua algoritma tersebut menjadi sebuah solusiuntuk memperkuat algoritma menjadi lebih sulit untuk dapat dipecahkan dan untuk mengecoh kriptanalisis. Fileteks yang telah diamankan menggunakan Algoritma Vigenere Cipher akan diamankan lagi menggunakanAlgoritma Hill Cipher. Implementasi sistem menggunakan perangkat lunak Visual Basic.Net 2010. Hasil darisistem ini berupa file yang ter-enkripsi (cipherfile) yang tidak bisa dimengerti. Kemudian fileteks kembalinormal setelah di-dekripsi.
Application Case Based Reasoning Method In Diagnosing Oil Palm Plant Diseases At PT Rapala, Gebang Sub-District Hafizah Husna; Hotler Manurung; Arnes Sembiring
International Journal of Health Engineering and Technology (IJHET) Vol. 3 No. 3 (2024): IJHET SEPTEMBER 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.138 KB) | DOI: 10.55227/ijhet.v1i2.41

Abstract

In the last five years, the development of computers is very rapid. This can be seen from the number of computers owned by the community, with various sophistication and features and information systems that can spoil its users. One area of application that can be considered is the field of diagnosing oil palm plant diseases. Difficulties in diagnosing oil palm plant diseases at PT. RAPALA Kec. Gebang often occurs when you want to take preventive or curative action when an oil palm plant is attacked by a disease, because the old diagnostic system is due to limited experts so that the quality of operational performance is lacking. With the application of an expert system in diagnosing oil palm plant diseases, it is hoped that it will make it easier for field workers to diagnose oil palm plant diseases quickly without waiting for experts. This system is designed using PHP My Admin programming software and MySQL as database. The result of this study is the process of diagnosing diseases in oil palm plants using the Case Based Reasoning method where the design begins with entering symptom data, then the system calculates the diagnostic results according to the Case Based Reasoning method and displays it in the form of a report.
Rancang Bangun Sistem Kontrol Suhu Pada Ternak Ayam Berbasis Internet of Things (IoT) Alwa Hul Karim; Hotler Manurung; Milli Alfhi Syari
Nusantara Journal of Multidisciplinary Science Vol. 2 No. 8 (2025): NJMS - Maret 2025
Publisher : PT. Inovasi Teknologi Komputer

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Abstract

Penelitian ini merupakan perancangan dan bangun alat berbasis Internet of Things yang diimplementasikan pada kandang ayam dengan rentang usia 8-15 hari yaitu dengan pemantauan suhu otomatis yang divisualkan pada Blynk secara real-time.Penelitian ini menggunakan sistem kontrol suhu dengan sensor DHT 11 sebagai pendeteksi suhu dan menggunakan NodeMCU ESP8266 sebagai mikrokontroller. Sistem kontrol suhu kandang ayam menggunakan internet untuk terhubung dengan aplikasi Blynk yang menampilkan data suhu menggunakan gauge chart. Penelitian ini juga membantu dalam penekanan angka kematian pada anak ayam usia dini terkhusus pada usia rentan yaitu dibawah 15 hari. Dengan adanya sistem kontrol suhu pada kandang ayam menggunakan Internet of Things juga membantu peternak ayam skala rumahan maupun skala besar
Penerapan Metode K-Means Clustering dalam Menentukan Strategi Operasi P2tl Berdasarkan Data Pelanggaran Pelanggan: (Studi Kasus : PT. PLN (Persero) UP3 Binjai) Indah Permata Sari; Hotler Manurung; Suci Ramadani
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 3 No. 4 (2025): Juli : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v3i4.940

Abstract

PT. PLN (Persero) UP3 Binjai faces challenges in handling electricity usage violations that increase every year. Lack of utilization of data violations that can be utilized to produce useful information in supporting strategic decision making by PLN, especially in the implementation of Electricity Usage Control (P2TL) activities. This study aims to identify customer violation patterns based on rayon, power, and type of violation with data mining methods using the K-Means Clustering algorithm. The results of the study show that the 3rd cluster represents the most violation-prone area, namely in the West Binjai Rayon, with a power of 450 VA and the most frequent type of P2 violation. The results of the study show that the K-Means algorithm with the Elbow method is able to systematically group data violations based on certain characteristics. The results of this study can provide recommendations to PLN UP3 Binjai to improve the effectiveness of monitoring and enforcement strategies through a more targeted approach.  
Penerapan Metode Naïve Bayes untuk Memprediksi Tingkat Kesehatan Mental Siswa Menjelang Akhir Masa Sekolah Tengku Omri Wikana; Tioria Pasaribu; Hotler Manurung
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.364

Abstract

Mental health is a state of well-being in which a person is aware of his or her abilities, can cope with normal life stresses, can work productively and contribute to his or her community. Mental health encompasses emotional, psychological and social well-being, and affects how a person thinks, feels and acts. It also determines how a person handles stress, relates to others and makes decisions. Prediction methods that can identify the level of mental health of students are important as a preventive measure. One promising method in this regard is the Naïve Bayes Method. This method has the advantage of being able to solve classification problems on complex datasets, such as student mental health data involving many independent variables. An expert system is a system that attempts to adopt human knowledge into computers so that computers can solve problems as is usually done by experts. The purpose of this study was to find out how to predict the level of mental health of students towards the end of school using the Naïve Bayes method. The results of this study are that the prediction of the level of mental health of students towards the end of school using the Naïve Bayes method can be used and the system created works well, without having to consult a doctor or psychologist.
Penerapan Metode Teorema Bayes untuk Memprediksi Penyakit Tifus Risdiana Risdiana; Hotler Manurung; Magdalena Simanjuntak
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.365

Abstract

Typhoid is an acute febrile condition caused by infection with Salmonella enterica bacteria, especially the Salmonella typhi variant. Typhoid fever or what we usually know as typhoid fever. However, this disease can also be caused by other types such as Salmonella paratyphi A, Salmonella typhi B, and Salmonella paratyphi C. Typoid fever or typhus abdominalis is an acute infectious disease of the small intestine with symptoms of fever for one week or more accompanied by disorders of the intestinal tract. digestion and with or without impaired consciousness. Bayes' theorem is a theory of probability conditions that takes into account the possibility of an event (hypothesis) depending on other events (evidence). Future events can be predicted if previous events have occurred. Bayes' theorem is a mathematical equation used in probability and statistics to calculate conditional probabilities. In other words, it is used to calculate the probability of an event based on its relationship to other events. Based on the weight value given by the expert to each patient's typhoid symptom data, from the results of the analysis carried out with the diagnosis results from the consultation, the symptoms are High fever (lasting up to two weeks), Headache, Chills, Skin rash, Muscle and joint pain, Extreme fatigue, Dry cough, Confusion or delirium, Nausea and vomiting, Swollen spleen, Abdominal pain with predicted results for Epidemic Typhus with a value of 76.26%.
Co-Authors Alwa Hul Karim Arnes Sembiring Dina Filina Hafizah Husna Indah Permata Sari Magdalena Simanjuntak Pardede, Akim Manaor Hara Pasaribu, Tioria Ramadani, Suci RISDIANA RISDIANA Syari, Milli Alfhi Tengku Omri Wikana