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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JITK (Jurnal Ilmu Pengetahuan dan Komputer) Journal Information System Development METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Majalah Ilmiah Kaputama JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Journal of Intelligent Decision Support System (IDSS) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) El-Mujtama: Jurnal Pengabdian Masyarakat Journal of Vision and Ideas (VISA) Bulletin of Multi-Disciplinary Science and Applied Technology TECHSI - Jurnal Teknik Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) International Journal of Health, Engineering and Technology Jurnal Kajian dan Penelitian Umum Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Jurnal Penelitian Teknologi Informasi dan Sains Journal of Data Analytics, Information, and Computer Science (JDAICS) Router : Jurnal Teknik Informatika dan Terapan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Saturnus: Jurnal Teknologi dan Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan Jurnal Inovasi Informatika dan Bisnis Digital (JIIBD)
Pardede, Akim Manaor Hara
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APPLICATION OF K-MEANS CLUSTERING ALGORITHM TO ANALYZE INSURANCE COMPANY BUSINESS (CASE STUDY: PT. JASINDO INSURANCE) Elni Arbaeti, Endang; Hara Pardede, Akim Manaor; Nur Kadim, Lina Arliana
Journal of Mathematics and Technology (MATECH) Vol. 2 No. 2 (2023): Journal MATECH (November 2023)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v2i2.161

Abstract

Asuransi Jasindo is an insurance company that accepts insurance coverage, both directly and indirectly, with the ownership of 1 series A dwiwarna share owned by the Republic of Indonesia and 424,999 Series B shares owned by PT Bahana Pembinaan Usaha Indonesia (Persero). PT Asuransi Jasa Indonesia or known as Asuransi Jasindo, has a qualified, long and mature experience in the field of general insurance even since the colonial era. This experience provides its own pioneering value for the existence and growth of Asuransi Jasindo's performance to date, so that it has succeeded in gaining public trust both at home and abroad. PT Asuransi Jasa Indonesia has several products and options in choosing which insurance is needed by customers, both agriculture, health, education and many more. Due to the large amount of insurance data, it is difficult for companies to process existing data and information. Therefore the author wants to create an application that can help companies process and classify existing insurance user data to produce information that can make it easier for insurers to provide better service to meet insurance user satisfaction using the K-Means Algorithm method. Of the 1089 data analyzed, the results that were most widely used were insurance data with ages 26-35 years, located in the Medan city sub-district with the type of insurance used, namely Jasindo Micro insurance.
EXPERT SYSTEM OF DISEASE DIAGNOSIS IN RABBITS USING CERTAINTY FACTOR METHOD Wardani, Sisca; Pardede, Akim Manaor Hara; Prahmana, I Gusti
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 1 (2024): Journal MATECH (May 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i1.164

Abstract

Rabbits are mammals of the family leporidae, which can be found anywhere, rabbits are increasingly popular in the community not to be kept alone even to a profitable side business. Raising rabbits is not new anymore, there are several places that sell and buy rabbits that are very interesting. The development of rabbit farming needs to be considered because of the disease in rabbits caused by several factors including ectoparasites that are late to be handled because of the lack of knowledge of rabbit farmers about the initial action before being brought to the animal clinic, and long distances limit farmers in conducting consultations on handling diseases in rabbits. Therefore, the need for a system to diagnose diseases in rabbits by knowing some of the symptoms early, with this system is expected to be an alternative use of technology that can be used to detect rabbit disease early on quickly, precisely, and accurately, so that for the future treatment of rabbit disease sufferers can be handled more quickly by using the certainty factor method that is more accurate in analyzing data quickly in getting the diagnosis of rabbit disease. From the test conducted with the selected symptoms, namely hair loss, scales on the scalp, the scalp looks cracked, then the highest percentage value of the test results with a value of 100% and diagnosed infectious diseases of the scalp.
APPLICATION OF NAIVE BAYES METHOD TO DIAGNOSE FMD DISEASE IN GOATS Sawitri, Sawitri; Simanjuntak, Magdalena; Pardede, Akim Manaor Hara
Journal of Mathematics and Technology (MATECH) Vol. 3 No. 2 (2024): Journal MATECH (November 2024)
Publisher : Yayasan Bina Internusa Mabarindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63893/matech.v3i2.171

Abstract

Hoof and mouth disease (FMD) is an infectious disease that affects cloven-hoofed farm animals such as cows, buffaloes, goats, sheep and pigs. The emergence of FMD is caused by a virus called foot and mouth diseases virus (FMVD). The Virus slowly eats away at the hooves and mouths of livestock, making the animals unable to eat and walk. Examination of disease in goats periodically is currently less attention so as to make goats susceptible to disease. This makes it difficult for farmers in the initial handling and do not know what to do in the absence of an expert. The process of disease diagnosis in goats can not be done by just anyone because between the types of diseases with symptoms have uncertainty. Based on these problems, the authors create an expert system that is able to diagnose diseases in goats as is commonly done by an expert using Naive Bayes method that will help livestock groups in diagnosing diseases in goats. The input is in the form of symptoms that occur in the field and the output is the result of diagnosis and treatment advice. From the test results obtained because the conclusion value (P / PMK type Oise (O)) is greater than the value (P|PMK type Asia 1) then the decision is “PMK type Oise (O)” with a value of 0.02.
Implementasi Algoritma C4.5 untuk memprediksi Penjualan Paket Internet Simanjorang, Armadani; Pardede, Akim M.H; Syahputra, Siswan
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6, Nomor 2, Edisi Oktober 2024
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/kakifikom.v6i2.4093

Abstract

Kebutuhan paket internet akan semakin meningkat seiring dengan perkembangan teknologi yang semakin pesat. Hal ini membuat perusahaan telekomunikasi seperti telkomsel menghadapi tantangan dalam memprediksi penjualan paket internet. Prediksi yang akurat dapat membantu perusahaan dalam menyusun strategi pemasaran dan penyediaan paket stok yang efektif. Penelitian ini dilakukan untuk memprediksi penjualan paket internet berdasarkan data penjualan dari PT. Golden Communication di kota Binjai. Preoses penelitian ini menggunakan algoritma C4.5 untuk membentuk pohon keputusan (Decision Tree) yang menghasilkan perhitungan entropy dan gain dari berbagai variabel seperti Paket, Harga, Masa Aktif dan Terjual. Hasil dari penelitian ini menunjukkan bahwa algoritma C4.5 mampu memprediksi penjualan paket internet menggunakan aplikasi RapidMiner dengan tingkat akurasi sebesar 94,5 % dengan 200 data pengujian. Berdasarkan analisis yang dilakukan faktor-faktor yang paling berpengaruh terhadap penjualan paket internet adalah masa aktif,paket dan harga. Paket dengan masa aktif yang lebih pendek dan harga yang lebih murah cenderung lebih diminati konsumen.
Korelasi Perilaku Siswa dengan Tingkat Prestasi Siswa Menggunakan Metode Apriori Richa Orellia; Akim M.H. Pardede; Imeldawaty Gultom
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.v2i4.337

Abstract

Student behavior is the actions of students which are influenced by their attitudes and responsibilities at school. Student behavior is a very important factor in determining student achievement in learning. Students who have personalities that improve skills, knowledge, attitudes, habits, understanding, skills, thinking power and other abilities will more easily increase their concentration in learning, and it will be easier to achieve the students' goals. At SDN 053960 MARYKE there are still students who do not know that student behavior greatly influences their level of achievement. Therefore, it is necessary to educate students from an early age so that students can be more responsible for the rules given by teachers at school, and students must understand that the attitude they carry out at school is assessed in improving their achievement, as well as their presence is very influential. his level of achievement at school. Therefore, there is a need for a solution to overcome the problems that exist at SDN 053960 MARYKE by utilizing data mining to collect data and then it will be processed using the a priori method with variables contained in the correlation between student behavior and student achievement levels. The a priori algorithm is able to determine min support and confidence in these variables will later show the relationship between student behavior and student achievement levels, so that researchers will get the best best rules and be able to produce the latest information..
Penerapan Metode Clustering pada Penyakit Abses Berdasarkan Faktor Penyebab Siti Mutoharoh Permata Ayunda; Akim M.H. Pardede; 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.v2i4.343

Abstract

An abcess is a collection of pus in an indefinite space in the body, an abscess can appear on the surface of the skin and can appear in the tissues of an organ. Abscesses occur due to an infectious process or from parasitic bacteria due to foreign bodies, such as splinters, bullet wounds, needles. Many patients come with complaints of pain, swelling, redness, fever and others. Therefore, to overcome this problem, it is necessary to take quick action to help reduce and deal with the problem of abscess disease among the community by using the clustering method do that it can help agencies in conducting socialization so that the communinty knows more about the factors that cause abscess disease and how to handle it. From this research courced at tha Binjai estate Health Center which consists of several variables, namely age, type of abscess disease data that often appears, the abscess disease data that often appears after doing the 2 cluster process is with age is 26-35 years, with the type of abscess disease is dental abscess, and the casual factor is not maintaining dental hygiene.
Diagnosa Penyakit Paru-Paru dengan Metode Naive Bayes : (Studi Kasus: RSUD Djoelham Kota Binjai) Boyke Gunawan Manurung; Akim Manaor Hara Pardede; Rusmin Saragih
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.v2i4.359

Abstract

The lungs as the only pump for the respiratory system are very important organs for the continuation of life. Diagnosing or checking lung symptoms early can help people recognize the possibility that they are suffering from lung disease, so that treatment or care can be done earlier to prevent the severity of the disease. The method used in this study is the Naïve Bayes method. Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by adding up the frequencies and combinations of values ​​from the given dataset. An expert system is a computer application that can help decision making in more specific fields with methods that have been analyzed in advance by experts or specialists. This study used variables, namely types of lung disease including Pulmonary Tuberculosis (TB), Chronic Obstructive Pulmonary Disease (COPD), Bronchial Asthma and Lung Cancer. The results of this study are that lung disease or types of lungs can be diagnosed using the web-based Naïve Bayes method, and make it easier for sufferers to consult without seeing a doctor by selecting symptoms of lung disease.
Penerapan Metode Monte Carlo pada Simulasi Antrian Poliklinik RSUD DR. RM. Djoelham Desty Dwi Putri; Akim M.H. Pardede; Anton Sihombing
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.v2i4.368

Abstract

Long queues at the polyclinic of RSUD RM DR Djoelham Binjai often cause inconvenience to patients and reduce service efficiency. This study aims to analyze the queuing system at the hospital's polyclinic using the Monte Carlo method, which is able to model uncertainty in patient arrivals and service times. With this method, it is expected that a more accurate picture of patient waiting time and queue performance can be obtained so that improvement measures can be identified. The data used in this simulation includes the number of patients who come and the service time in the polyclinic. Monte Carlo simulations are carried out to predict various queuing scenarios based on variations that occur in patient arrivals and service duration. The simulation results provide information related to the estimated average waiting time of patients, and the level of queue density. This study shows that the application of the Monte Carlo method is effective in providing a more measurable solution to minimize waiting time and improve service quality at the polyclinic of RM DR Djoelham Binjai Hospital. These results are expected to be a reference for hospital management in making strategic decisions related to the optimization of health services. With the average waiting time for patients in the queue is 10.59 minutes while the average patient time is 25.34 minutes.
Teknik Pembangkit Kunci Algoritma RSA Menggunakan Algoritma Diffie Hellman pada Keamanan Citra Prastya, Reno; Pardede, Akim M.H.; Fauzi, Achmad
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 4 Nomor 1
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/kakifikom.v4i1.1872

Abstract

Kemajuan yang pesat dalam dunia teknologi memudahkan manusia dalam bertukar informasi, informasi dapat berupa teks ataupun visual. Suatu informasi visual atau citra yang dimiliki seseorang maupun instansi rentan terhadap pencurian, penyandapan dan pengubahan informasi yang dapat merugikan pihak lain. Kriptografi merupakan salah satu cara untuk mengamankan file yang berupa teks atau gambar. Pengamanan terhadap informasi dalam bentuk citra dilakukan dengan menggunakan algoritma RSA yang di perkuat dengan algoritma Difie Hellman dalam menciptakan kunci untuk mengenkripsi dan dekripsi citra. Algoritma Diiffie Hellman digunakan sebagai pembentukan kunci, yang mana kunci yang telah dibentuk akan digunakan sebagai kunci publik dan kunci private dari algoritma RSA. Hasil kombinasi kedua algoritma ini menghasilkan kunci yang kompleks yang akan sulit di tebak. Implemntasi sistem keamanan menggunakan perangkat lunak Microsoft Visual Basic 2010. Hasil dari sistem ini berupa file citra yang tidak dimengerti dan akan kembali normal setelah di dekripsi.
Implementasi Motode Fuzzy Sugeno pada Pengendalian Exhoust Fan Sebagai Pembersih dan Pengatur Udara ., Novriyenni; Pardede, Akim Manaor Hara; Hamdani, Diky
MEANS (Media Informasi Analisa dan Sistem) Volume 2 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (639.406 KB) | DOI: 10.54367/means.v2i2.143

Abstract

In a special room for smokers, Exhoust Fan is installed to clean the air and keep the room air fresh. Most Exhoust Fan works manually, not set automatically so that it has a constant rotational speed, so the function of the exhaust fan as an air purifier is not optimal. This study aims to apply a fuzzy method as well as to control the speed of the Exhoust Fan. Fuzzy logic will process the carbon monoxide gas which is detected by the MQ-3 sensor then the output decision maker is in the form of the Exhoust Fan rotation speed level which is exactly in accordance with the amount of carbon monoxide read by the MQ3 sensor. fuzzysugeno method can regulate the speed of putan fan based on the amount of carbon monoxide read by the MQ-3 sensor.
Co-Authors ., Novriyenni ., Novriyenni Abdillah, Afif Abdullah Rayni Achmad Fauzi Ade Dharma Agung Prayogi Agus Muji Santoso Agus Syahrani Agus Syahrani Ahmad Zamsuri, Ahmad Al Haby Pratama Subakti al Haby Pratama Subakti Alia Bihrajihant Raya Alia Bihrajihant Raya Alkhairi, Putrama Alya Fadillah Amanda Putri Ardana Ambarita, Indah Amin Hou Anang Wahid M.Diah ANDIKA Andika Andika Andini, Anggun Anggi Pratiwi, Anggi Anggraeni Dyah S Anggraeni Dyah Sulistiowati Anggun Anggraini Anggun Angraini Anita Shintya Devi Apriandi Alfa Reza Saragih Arifin Dwi Saputro Aris Wahyono, Aris Wahyono Artika Dini Anggriani Asrofi Liza Nasution Astrika, Rahayu Aula, Nurhasanah Azmy, Maulida Bachtiar, Willy Bagus Aziz Bagus Azizi Bayu Juliansyah Boyke Gunawan Manurung Br Bangun, Cindy Arsita Buaton, Relita Budi Purnomo Siahaan Budi Saragi Ginting budi saragih budi saragih Budi Serasi Ginting Budi Serasi Ginting Christian Adi Pratama Saragih Debby Ade prastiwi Deby Siska Oktavia Pasaribu Destiara, Destiara Desty Dwi Putri Diana Lestari Simamora Diaz Kuncoro Dina Filina Eddu Dwi Rizki Eddu Dwi Rizki Efendi, Sutris Eka Rahamadi Susilo Elni Arbaeti, Endang Evi Rinata Fahmi Aulia Sirait Fahri Husaini Farid Reza Malau Fatmaira, Zira Fauzi, Achmad Fazar Syahfitra Ferry Rahmadani fika lestika Fika Lestika Br. Tarigan Filina, Dina Finda Meyditia Finda Meyditia Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Ginting, Budi Saragi Gultom, Imeldawaty H Khair Hamdani, Diky Hamdani, Diky Harahap, Khairunnisa Hari Sabana Hasanul Khair Hasdari Helmi Hasdari Helmi Hendy Setiawan Hendy Setiawan Herdianta Herdianta Herlina, Lien Hermansyah Sembiring Hotler Manurung Husnul Kahir I G Prahmana I Gusti Prahmana I Gusti Prahmana igusti prahmana Iis Joice Susanti Marpaung Ilham Ilham Indah Haziziyah Indakholasy, Barru Indriana, Nurita Jen Peng Huang John Darwis Martuadi Saragih John Darwis Martuadi Saragih Jonathan Setiadi Pasaribu Juni Ismail Kadim, Lina Arliana Nur Katen Lumbanbatu Katen Lumbanbatu Katen Lumbanbatu Khadafi, Muhamad Khadapi, Muammar Khair , Husnul Khair, Husnul Khairunnisa Harahap Lestari Riawan, Putri Lita, Catlya Novera Lumbanbatu, Katen M Fakhrul Hirzi M Ilham Nst M. Rizki Auliansyah Ginting M. Taufik Magdalena Simanjuntak Maida Andriani MANURUNG, HOTLER Marto Sihombing Marto Sihombing Marto Sihombing Marto Sihombing Maulida Azmy maulida azmy Melda Pita Uli Sitompul MHD Micho Januar Prananta Mili Alfhi Syari Mili Alfhi Syari Syari Muhammad Arie Afryanda Muhammad Arie Afryanda Muhammad Taufik Nanang Wahyudin Nanang Wahyudin Naufal Falaah Nduru Nidya Banuari Nila Damayanti Ningsih, Nur Ema Tiana Nisa R, Ajeng Arina Novriyenni Novriyenni - Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nur Ema Tiana Ningsih nurema tiana ningsih Nurhayati Nurhayati Nurhayati Nuroini, Indi PASARIBU, TIO RIA Pasaribu, Tioria Paul Saut Marganda L Tobing Permana Putra Permana Putra Pitaloka, Nadila Prahmana, I Gusti Prastya, Reno Preddy Marpaung Rafael R.F. Sijabat Rahmad Syahputra Rahmadani Rahmadani, Feri Ramadani, Suci Ramadhani Rangkuti, Nazwa Nurul Hafizah Refirda Agtalia Rendi Eka Pratama Rendi Eka Pratama Resti Afrelia Sibuea Richa Orellia Rika Hedy Anggraini Prastio Riki Winanjaya rima siburian Riski Ramadhansyah Risky Firmansyah Manik Ronny Lesmana Rusmin Saragih, Rusmin Saragih, Christian Adi Pratama Saragih, John Darwis Martuadi Sari, Indah Kelana Sawitri Sawitri Selfira Selfira Sembiring, Hermansyah Sihombing, Anton Sihombing, Marto Sijabat, Maruba Simanjorang, Armadani Simanjuntak, Magdalena Simanjuntak, Magdalena Simanjuntak, Ruth Rani Siswan Syahputra Sitepu, Cindy Yohana Siti Alyunita Mega Lestari Siti Mutoharoh Permata Ayunda Subakti, Al Haby Pratama Suhada Suhada Suhada Suhada Suhada Suhada Suhada Suhada, Suhada Surja Arafat Surtan Hasibuan Surya Siswoyo Surya Siswoyo Sutris Efendi Syahputra , Siswan Syahputra, Siswan Syari, Mili Alfhi Syari Syari, Milli Alfhi Tanjung, Anggi Muhammad Tarigan, Fika Lestika Br. Tengku Syahdina Riyan Thalia, Novi Tio Ria Pasaribu Tria Pusvita Dewi Triana Dewi lestari Wahyu Surya Nanda Wardani, Sisca Willy Bachtiar Wisnu Satriyo Jati Wisnu Satriyo Jati Yani Maulita Yanuar Dwi Prastyo Yehezkiel Wibisono Sagala Yourman Doni Siddik Yuda Washita