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All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Informatika Kaputama (JIK) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Pengabdian Masyarakat IPTEK Journal of Artificial Intelligence and Engineering Applications (JAIEA) TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Indonesian Journal of Education And Computer Science Nusantara Journal of Multidisciplinary Science
Marto Sihombing
STMIK KAPUTAMA
Religion Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media

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Clustering Data On Underage Marriage Using The Clustering Method Sonadi Perangin Angin; Rusmin Saragih; Marto Sihombing
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.v3i1.370

Abstract

In Law no. 1 of 1974, article 7 paragraph (1) states that marriage is only permitted if the man has reached the age of 19 and the woman has reached the age of 16. Nationally, early marriage to the age of under 16 is 26.95%. In fact, based on the findings of Bappenas in 2008, it was stated that 34.5% of the 2,049,000 marriages in 2008 until now were child marriages which were increasing rapidly (Rifiani, 2011: 126). The influence of foreign culture is also one of the causes of the large number of underage marriages, foreign cultures which are very famous for freedom of dating, are the views of today's youth to have relations outside of legal marriage. Not only culture, information technology in the 4.0 era has greatly influenced the occurrence of underage marriages, adult video sites that are easily accessible via the internet. For this reason, the K-means clustering method is used as the right solution for the problem of underage marriage data by grouping the data based on age, gender, and occupation to get definite data, so that data grouping using the applicationmatlab andrapid miner can produce output from data mining that can be used in making decisions in the future Keywords: Underage marriage, clustering, matlab
RANCANG BANGUN ALAT PRINTER 2D MIKROKONTROLER DENGAN METODE ROTASI BERBASIS ARDUINO M. Taufik; Akim Manaor Hara Pardede; Marto Sihombing
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.v6i2.225

Abstract

Proyek Akhir Sistem Mikrokontroler ini bertujuan untuk melakukan implementasi dari fitur-fitur mikrokontroler ATMega, khususnya Arduiuno. Implementasi yang dibuat pada makalah ini adalah Printer 2D. Printer 2D Mempunyai Prinsip kerjanya memanfaatkan pengendalian posisi dari dua buah motor stepper pada bidang X-Y dan satu buah motor servo pada bidang Z. Printer 2D mampu menggambar objek yang diinginkan berdasarkan 3 sumbu gerak sesuai program yang dibuat oleh pengguna. Printer 2D sendiri banyak digunakan dalam industri desain atau produkproduk tertentu. Dalam dunia elektronika, alat ini juga berfungsi untuk mencetak jalur printed circuit board (PCB). Software yang digunakan adalah Atmel, WinvAVR, ArduinoIDE sebagai compiler, sedangkan Inkscape dan G-Control sebagai implementasi gcode, printer grafis yang menggambar dengan menggunakan pena-pena tinta, plotter juga merupakan perangkat output pertama yang mampu mencetak gambar berukurun sebesar gambar arsitektur dan enginering. Plotter merupakan jenis printer yang dirancang secara khusus guna menghasilkan output komputer yang berupa gambar ataupun grafik. Terdapat banyak jenis plotter salah satunya plotter pena yang memiliki satu atau sejumlah pena berwarna untuk menggambar pada kertas atau plastik transparan dan membuat keluaran dalam bentuk garis. CNC (Computer Numerical Controller) adalah salah satu alat pengendali mesin pada pabrik-pabrik industri besar. Dengan adanya Printer 2D bisa mengendalikan sebagian besar alat salah satu contohnya sebagai pengendali dari plotter 2-dimensi. Penelitian ini merancang suatu plotter 2- dimensi dengan menggunakan CNC berbasis Arduiuno UNO. Plotter 2-dimensi ini memiliki akurasi sebesar 97,947% dan presisi sebesar 99,985%. Plotter 2-dimensi ini mampu beroperasi sampai jarak 4cm dengan resolusi sebesar 0,01cm.
PENERAPAN ALGORITMA LINIER CONGRUENT METHOD PADA PENGACAKAN SOAL KENAIKAN TINGKAT KARYAWAN DI LKP SEMPOA SIP BINJAI Sri Ayu Adhitya; Budi Serasi Ginting; Marto Sihombing
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.v6i2.232

Abstract

Ujian adalah tes yang dilakukan untuk melihat dan menentukan kemampuan seseorang baik dari segi kompetensi, pengetahuan dan pengalaman. Dengan melakukan ujian, suatu instansi pendidikan dapat menentukan apakah murid dapat melanjutkan ke kelas berikutnya ataupun tidak, sedangkan dalam lingkungan pekerjaan, lembaga dapat menentukan apakah seseorang berhak diterima sebagai pekerja ataupun dapat mendapatkan kenaikan jabatan kerja. Berdasarkan jurnal Andilala, Gunawan (2018) tentang implementasi linear congruent method untuk pengacakan soal pada game perhitungan jarimatika berbasis android. Mengatakan bahwa “Metode linear congruent method digunakan sebagai sarana untuk pengacakan soal perhitungan jarimatika sehingga pengguna yang bermain tidak akan menemukan soal yang sama dengan pengguna lain”. Dalam melakukan ujian atau tes kepada karyawan, Sempoa SIP masih menggunakan metode manual dimana seluruh karyawan melakukan ujian dengan kertas dan nomor soal yang sama. Pelaksaan ujian dengan nomor soal yang sama ini dinilai tidak efektif untuk menentukan kompetensi karyawan.Untuk menghindari masalah tersebut, penulis akan memanfaatkan teknologi dengan menggunakan metode Linear Congruent Method (LCM) untuk menghasilkan nomor soal yang acak sehingga setiap karyawan memiliki soal dengan nomor berbeda dan proses ujian menjadi lebih efektif. Berdasarkan pada penjelasan diatas, penulis mengambil judul “Penerapan Algoritma Linear Congruent Method Pada Pengacakan Soal Kenaikan Tingkat Karyawan Di LKP Sempoa SIP Binjai”.
Teknil Algoritma Elgamal dan Steganografi First Of File (FOF) Untuk Penyisipan Penyisipan Pesan Dalam Citra M Agung Hidayat; Marto Sihombing; Anton Sihombing
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 6 No. 1 (2022): Volume 6, Nomor 1, Januari 2022
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v6i1.384

Abstract

Penggunaan informasi media citra mempunyai beberapa kelemahan, salah satunya adalah mudahnya dimanipulasi oleh pihak-pihak tertentu dengan bantuan teknologi yang berkembang sekarang ini. Upaya yang dapat dilakukan dalam peningkatan pengamanan pengiriman informasi citra adalah kriptografi, yaitu ilmu dan seni untuk menjaga keamanan pesan. Pada penelitian ini diterapkan metode Elgamal dan Stegnografi First Of File (FOF) yang bertujuan untuk memperoleh cipher yang lebih kuat dengan menyisipkan pesan kedalam citra sehingga susah untuk di sadap. Algoritma Elgamal untuk mengenkripsi dan dekripsi, Stegnografi First Of File (FOF) yang digunakan untuk mengencoding dan mendecoding citra. Hasil dari penelitian ini menunjukkan bahwa dengan menerapkan algoritma Elgamal dan Stegnografi First Of File (FOF) dapat mengamankan pesan yang disisipkan kedalam citra dan mengamankan kunci untuk kebutuhan data. Waktu proses encoding dan decoding di pengaruhi oleh banyaknya pesan yang akan dirahasiakan
Grouping Mortgage Data By Job Using The Clustering Method Kusmananda Lubis; Yani Maulita; Marto Sihombing
Nusantara Journal of Multidisciplinary Science Vol. 1 No. 3 (2023): NJMS - Oktober 2023
Publisher : PT. Inovasi Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research discusses the application of a cluster-based data grouping method (clustering) to group Home Ownership Credit (KPR) data based on the type of work of the borrowers. The aim of this research is to identify possible patterns in mortgage data and group them into groups that have similar job characteristics. In this study, the cluster method is used to classify mortgage data based on the job attributes of the borrowers. The data collected includes job information and several other related attributes. The clustering process is carried out by applying certain algorithms to group data into different groups. The results of this study are expected to provide insight into the relationship between the type of work and the characteristics of mortgage borrowers. With a better understanding of these patterns, financial institutions and related agencies can make more informed decisions in managing mortgage products, credit risk, and developing more effective marketing strategies. This data grouping method can contribute to improving the efficiency of data analysis and decision making in the financial sector.
Application of Decision Tree Algorithm Method to Analyze Traffic Accident Patterns Rusmin Saragih; Marto Sihombing; Anton Sihombing; Rivalri Kristianto Hondro
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp200-202

Abstract

Traffic accidents are complex problems that involve many variables such as weather conditions, vehicle type, location, and driver behavior. With the development of data processing technology, it is possible to analyze accident data in more depth to find significant hidden patterns. The Decision Tree algorithm is applied to predict the likelihood of an accident occurring and identify the factors that contribute most to the accident. The data used consists of accident records collected from various sources, including official reports and traffic statistics. The Decision Tree algorithm was chosen due to its ability to handle both categorical and numerical data, as well as the ease of interpretation of the analysis results. The results of this study show that factors such as vehicle speed, time of occurrence, and road conditions have a significant influence on the probability of an accident occurring. The results of news extraction are analyzed by creating decision rules to determine the pattern of accidents that occur. This decision rule is in the form of a decision tree with a dataset that uses data with the highest fatalities with the imputation feature mode by concept as a method of handling missing values and toll roads as attributes, resulting in an f1-score value of 60.00% and an accuracy value of 70.40%.
Internet Of Things Based Milling Machine Design Using Esp8266 Nodemcu Hari Sabana; Akim M. H. Pardede; Marto Sihombing
Indonesian Journal of Education And Computer Science Vol. 1 No. 2 (2023): INDOTECH - August 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.42

Abstract

This study presents the design and development of a grinding machine based on the Internet of Things (IoT) utilizing NodeMCU ESP8266. The primary objective of this project is to integrate IoT technology into the grinding machine to enhance control, monitoring, and grinding process efficiency. By using NodeMCU ESP8266 as the microcontroller connected to a WiFi network, the grinding machine can be accessed and remotely controlled through devices connected to the internet. Users can access this platform to monitor the machine's condition and control it as needed. In this research, the focus is on circuit design, software development, and overall system integration. The testing results are performed by sending commands to start the DC motor, monitoring the DC motor's speed value, monitoring the grinding status, lid closure button, and reset button. The testing results indicate that this IoT-based grinding machine provides better control, real-time monitoring, and efficiency in the grinding process. Thus, this research portrays a successful implementation of IoT in the machinery industry, opening opportunities for further development in this field
Kandang Ayam Pintar Berbasis Internet of Thinks Menggunakan NodeMCU ESP8266 Muktashim Billah; Marto Sihombing; Rahmadani
Indonesian Journal of Education And Computer Science Vol. 2 No. 2 (2024): INDOTECH - August 2024
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v2i2.660

Abstract

Perancangan perangkat kandang ayam pintar berbasis IoT. Sistem perangkat ini menggunakan mikrokontroler NodeMCU ESP8266 yang berfungsi sebagai pengolah data dan pengirim perintah dan juga sebagai penerima jaringan WI-FI. Sistem perangkat kendang ayam pintar ini menggunakan system kontrol menggunakan smartphone android untuk mengontrol dan memonitoring keadaan, kendang ayam pintar ini menggunakan system komunikasi jaringan WI-FI sehingga sistem kendang ayam dan smartphone android dapat terhubung, dalam system kendang ayam pintar ini menggunakan sensor dht11 sebagai pengontrol suhu yang ada di dalam kendang ayam, dan motor servo sebagai penggerak penutup pakan ayam. Supply tegangan yang di gunakan oleh alat ini adalah AC-DC colokan listrik rumah untuk di hububgkan ke lampu, sumber tegangan yang di butuhkan pompa air 5volt. Tegangan AC-DC masuk terlebih dahulu ke rangkaian relay, 5 volt tengangan untuk menghidupkan pompa air. Alat ini dapat diguanakan dengan mudah untuk membantu kegiatan manusia dalam memelihara ayam hanya dengan menggunakan smartphone dan di hubungkan ke WI-FI.
Diagnosis Of Cholesterol Disease In Adolescence Using Certainty Factor Method Kusuma Wardhani; Marto Sihombing; 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.v3i1.258

Abstract

Expert system is a computer program designed to emulate the abilities of an expert in solving problems in a particular field. This system can assist in making a decision and provide a solution based on the data that has been obtained. Delia General Hospital (RSU) is a hospital in Langkat district that provides health services to the community to cure diseases, one of which is cholesterol. Cholesterol is a fatty substance contained in the blood and produced by the body. Cholesterol has an important role in helping to produce hormones and form cells. However, if the level of cholesterol in the blood is too high, it can cause health problems such as atherosclerosis, stroke, and heart disease. Increased cholesterol levels occur in adolescents due to unhealthy lifestyles and consuming foods high in fat. Certainty factor is a method in artificial intelligence that is used to determine whether a fact is certain or uncertain and provides accurate results by calculating the weight of symptoms determined by an expert and can produce answers to uncertain questions.
Classification Of Population Data On Status In The Family Based On Last Education And Work Using The Clustering Method (Case Study: Sei Prison Village Office) Fauziah Ningsih; Yani Maulita; Marto Sihombing
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.v3i1.264

Abstract

Population data is structured individual or individual data through population registration, civil registration and population census activities. It is important to know population data because in making policies and planning regional or state development, population data is needed to describe the condition of an area. Population data include births, deaths, transfers or migration, population composition, population density and so on. This grouping is done so that population data that is already in the archives will be input into an application that will be designed to make it easier for parties who need data without having to look at the data that is still manual. The problems that exist are such as the increase in the number of residents in a city, village or even a district which is increasing while the population that has been recorded still does not have a job, such as status in the family, namely the head of the family is still there who does not work in terms of recent education can still be considered to get a job that matches the last type of education. From the research process conducted on 20 data, 3 groups were obtained, Cluster 1 contained 16 data, Cluster 2 contained 1 data, and Cluster 3 contained 3 data. And the most group obtained is cluster 1, there is education last high school, has a type of work that has not worked and status in the family of the head of the family.
Co-Authors Ajeng Arina Nisa R Ambarita, Indah Aprillianda Pasaribu Buaton, Relita Budi Serasi Ginting Fatmaira, Zira Fauziah Ningsih Fuzy Yustika Manik Gultom, Imeldawaty Hari Sabana Kusmananda Lubis Kusuma Wardhani M Agung Hidayat M. Taufik Muktashim Billah Nurhayati Nurul Edelwais Pardede, Akim Manaor Hara Pasaribu, Tioria Perkasa Bangun Rahmadani Ratih Puspadini Rivalri Kristianto Hondro Rizki Gio Vani Rusmin Saragih, Rusmin Sihombing, Anton Simanjuntak, Magdalena Sisca Ramadhani Siswan Syahputra Sonadi Perangin Angin Sri Ayu Adhitya Widia Putri Dasopang Yani Maulita