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All Journal Jurnal Media Infotama METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Abdi Ilmu Majalah Ilmiah Kaputama JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer MEANS (Media Informasi Analisa dan Sistem) Syntax: Journal of Software Engineering, Computer Science and Information Technology Journal Of Information And Technology Unimor (JITU) Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Jurnal Widya Bulletin of Multi-Disciplinary Science and Applied Technology Journal of Computer Science and Informatics Engineering 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) Jurnal Pengabdian Pada Masyarakat METHABDI International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Nusantara Journal of Multidisciplinary Science Jurnal Penelitian Teknologi Informasi dan Sains 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 Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Saturnus: Jurnal Teknologi dan Sistem Informasi Pascal: Journal of Computer Science and Informatics

Yani Maulita

STMIK Kaputama

Author-ID : 2546645

Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 110 Documents Claim Missing Document

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Articles

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Cryptgrapy Algorithm Variably Modified Permutation Compotition (VMPC) on Image Security Eva Sasmita; Yani Maulita; Juliana Naftali Sitompul
International Journal of Health Engineering and Technology Vol. 1 No. 2 (2022): IJHE-JULY 2022
Publisher : CV. AFDIFAL MAJU BERKAH

The development of technology as it is today allows everyone to exchange information without any limitations of time and distance. The possibility that there will be a data leak during the information exchange process is carried out. Therefore, in sending data, especially images, aspects of security, confidentiality and efficiency of data storage are very necessary. If this important information falls into the wrong hands, it will cause unwanted things, for example image manipulation in a negative form and can harm the owner of the image. One of the methods used to maintain the security of the data is cryptography using one of the techniques, namely Vmpc. The strength of this algorithm lies in the difficulty of calculating discrete algorithms on prime integers in which multiplication operations are performed. In this study, the author encodes the image encryption with the Vmpc Algorithm to decrypt the key from Vmpc. System implementation using Visual Basic Net 2010 programming language.The results of the implementation with the initial encrypted image having a time of 4282.85 Milliseconds with randomized image results while the encrypted image will be re-decrypted which has a time of 20442.84 Milliseconds with the image results returning to the beginning.

Motorcycle Credit Purchase Decision Support System With Additive Ratio Assesstment (ARAS) Method Jecika Azzahra; Yani Maulita; Milli Alfhi Syari
International Journal of Health Engineering and Technology Vol. 1 No. 2 (2022): IJHE-JULY 2022
Publisher : CV. AFDIFAL MAJU BERKAH

In the era of globalization as it is today, life is felt to be growing rapidly, the number of people's needs for private vehicles to facilitate all daily activities. The development of increasingly advanced technology makes us to know the importance of the use of computers in the process of processing data quickly and practically. CV. Aneka Teknik is a company engaged in motorcycle sales services by way of cash and credit. This company cooperates with several Leasing. So far, the company only accepts application files from consumers without testing files from consumers whether they deserve credit or not. This makes leasing difficult to handle so that the process of granting credit becomes slow. To overcome this, the author makes an application for a decision support system in determining the application of prospective customers to obtain credit facilities. After CV. Aneka Teknik processes incoming consumer files, so the files that are eligible to get credit are sent or submitted to leasing. The highest score in the ranking obtained by the ARAS method decision support system in the highest position is A9 with the name Apriandi Alfa Reza Saragih with a value of 0.1538 who has the right to be selected as a motorcycle loan recipient

Expert System For Diagnostic Disease Of Cultivation Of Cucumber Holticulture Using Certainty Factor Method Based On Web-Based Dhea Armaya; Budi Serasi Ginting; Yani Maulita
International Journal of Health Engineering and Technology Vol. 1 No. 2 (2022): IJHE-JULY 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Indonesia is an agrarian country where most of the population earn a living as farmers, including cucumber farmers. The biggest threat to cucumber farmers is the presence of diseases that attack their cucumber plants. What often happens is that there are many losses due to cucumber plant diseases that are too late to detect and have reached a severe stage, causing crop failure. To identify a disease disorder on cucumber plants, an expert on cucumber plant diseases is needed in diagnosing symptoms of disease disorders that attack cucumber plants. The distance traveled by experts to find out cucumber plant diseases at the Department of Agriculture of Langkat Regency is difficult so that it makes farmers experience losses and it is difficult to diagnose diseases in cucumber horticultural crops. For that reason, so in this study an expert system was built to diagnose diseases in cucumber horticulture crops. This expert system has 7 diseases and 16 symptoms . The Certainty Factor method was chosen because it is able to provide a level of confidenceexpert on the problem at hand. Based on the results of the Certainty Factor calculation, the highest confidence value is found in powdery mildew and rotten fruit with a value of 0.6 with a value of 60%. From the results obtained, the system diagnosed that the plant was affected by powdery mildew and rotten fruit.

The Artificial Neural Network Predicts The Number Of Smart Indonesian Card Recipients Using The Backpropagation Algorithm Shella Nadya; Yani Maulita; Magdalena Simanjuntak
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

The Smart Indonesia Card is a form of implementing the Smart Indonesia Program which is the flagship program of President Joko Widodo. The Smart Indonesia Card program supports the realization of the 9-year compulsory education program for basic education and universal secondary education or 12-year compulsory education. However, in essence, in processing the Smart Indonesia Card, errors still occur in predicting the needs of students who really need the assistance. Unpredictable gifts include students per department. In dealing with the provision of Indonesia Smart Card assistance, predictions are needed in the distribution of funds so that the distribution can be carried out evenly according to students who need the Indonesia Smart Card funds.

Application Of Data Mining Classification Of Student Ability In Learning Using The K-Means Clustering Algorithm Method (Case Study : Sd Negeri 056029 Karya Utama) Ika Indah Rahayu; Yani Maulita; Husnul Khair
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

The high level of student success and the low level of student failure is a quality of the education world. The world of education is currently required to have the ability to compete by utilizing all resources owned. In addition to facilities, infrastructure and human resources, information systems are one of the resources that can be used to improve competency skills. Data mining is a process of data analysis to find a dataset of data sets. Data mining is able to analyze large amounts of data into information that has meaning for decision supporters. One process of data mining is clustering. Attributes used in the grouping of student achievement are Name, Extracurricular, Value which include UAS Value, . The case study of 20 students with distance calculation using manhattan distance, chbychep distance and euclidian distance yielded 67% accuracy. Keywords: data mining, clustering, k-means, student achievement

Application of Clustering Method For Customer Royal Data Grouping at CV. Garuda Mas Motor Binjai Putri Ladya Elvanny; Budi Serasi Ginting; Yani Maulita
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Communication is a very important activity. Communication is carried out with the aim of exchanging information between several individuals. Communication can be done in various ways. Those who wish to communicate with each other can meet in person or through intermediaries. There are several types of media that function as intermediaries of information. You can use several media such as print media, electronic media, and online media to get various information. Digital communication in the modern era is not far from the Internet because almost all digital communication tools use the Internet. Internet needs vary greatly from old to young, because Internet needs are different, connection management is needed (Management Bandwidth) so that client requests with high connections do not interfere with clients with relatively low connection requests. One of the tools commonly used for connection management is MikroTik with the Peer Connection Queue (PCQ) feature. The reason for choosing Mikrotik is because Mikrotik has complete features at an affordable price. The importance of connection management is to maximize the connection provided by the ISP so that clients can use the Internet without buffering.

Decision Support System For Submitting Work Leave Using The Vikor Method Muhammad Rivaldi Prastowo; Yani Maulita; Suci Ramadani
International Journal of Health Engineering and Technology Vol. 1 No. 4 (2022): IJHET-NOVEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Human resources have an important role in an office, namely as the spearhead for carrying out the organization's activities, because after all the progress and success of a company cannot be separated from the role and capabilities of good human resources. This study aims to determine the effect of work motivation (X1) and work ability (X2) variables partially and simultaneously on employee performance (Y). This type of research is explanatory research with a quantitative approach and is carried out using the genetic method. Genetics is a search technique that in computer science to find approximate solutions for optimization and Genetic search problems are particularly applied as computer simulations in which a population of abstract representations (called chromosomes) of candidate solutions (called individuals) to an optimization problem develops into a solution. - a better solution. This research was conducted on 40 permanent employees of the Binjai City Regional Civil Service Agency.

Expert System to Diagnose Stem Border in Sugarcane Plant with Certainty Factor Method Wardhani, Diah; Maulita, Yani; Syahputra, Siswan
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1226

Abstract: Sugarcane (Saccharum Officanarum L) is an annual plantation crop, which has its own characteristics, because it contains sugar in its stems. Sugarcane belongs to the grass family (graminae) like rice, reeds, corn, bamboo and others. One of the problems that exist in sugarcane plantations at PT Perkebunan Nusantara II is stem borer pests. Losses due to borer attacks can be in the form of a decrease in sugarcane weight, yield and quality of the sap obtained. pests on sugarcane plants cause a decrease in sugar production of about 10%. There are three types of stem borer pests found in PT Perkebunan Nusantara II, namely shoot borer pests, striped stem borer pests, and giant stem borer pests. Meanwhile, biological control is by spreading natural predators of pests which will suppress the population of widespread distribution and breeding of pests which are commonly called parasitoids. Parasitoids will become predators of their respective hosts, so appropriate diagnostic therapy for stem borer pests is needed so that the spread of stem borer pests does not become more widespread and the parasitoids to be spread operate effectively. By using the Certainty Factor method, you can find out the types of pests that are attacking sugarcane plants. Based on manual calculations, the dipole yield was 79% on one of the selected pest types based on the symptoms induced in the sugarcane plant.

Application of the Certainty Factor Method for Diagnosing Mental Illness Disease Mirah, Alta; Maulita, Yani; Simanjuntak, Magdalena
International Journal of Informatics, Economics, Management and Science Vol 2 No 2 (2023): IJIEMS (August 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v2i2.1208

Mental illness is a disease that is widespread among Indonesian people. Mental illness, also known as mental health disorder, is a term that refers to various conditions that can affect a person's thoughts, moods, feelings or behavior. However, there are still many Indonesian people who do not recognize and indicate the existence of mental illness because many people do not pay attention to their mental health or those around them. the small number of psychiatrists available in each area and the costs required are also not small, causing ordinary people to be reluctant to carry out examinations with psychiatrists, this of course leads to delays in treatment which can even be fatal. To prevent the increase in sufferers of mental illness, a system is needed that can store the knowledge of experts or psychologists who understand how to handle mental illness. An expert expert system is an artificial intelligence program that combines a knowledge base with an inference system to emulate an expert. The certainty factor method is a method used to solve cases of uncertainty, where the size is based on a fact or rule that can be used in expert systems. With the existence of an expert system for diagnosing mental illness, the general public can recognize early symptoms of mental illness, so treatment can be done earlier. From the results of the trials conducted, the results of the mental illness expert system were obtained with the highest score, namely depression with a confidence value of 90.02%.

Pelatihan Pembuatan Eco Enzym bagi Mahasiswa Baru STMIK Kaputama TA. 2024-2025 Sebagai Bentuk Kepedulian Kampus pada Pelestarian Lingkungan Arliana, Lina; Maulita, Yani; Fauzi, Ahmad; Novriyenni, Novriyenni; Sihombing, Anton; Ambarita, Indah; Simanjuntak, Magdalena; Syahputra, Siswan; Khair, Husnul; Pramana, I Gusti; Annatasia, Kristina; Puspadini, Ratih; Selfira, Selfira; Sitompul, Melda Pita Uli; Khadafi, Muammar
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 1 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

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

The growing volume of household organic waste poses a serious challenge to environmental sustainability. Through this community service program, STMIK Kaputama offers an educational and practical solution by involving first-year students in Eco Enzyme production training. Eco Enzyme, a fermented product derived from organic kitchen waste, has been proven to provide various benefits such as an eco-friendly cleaner, liquid fertilizer, and natural deodorizer, serving as an effective alternative to harmful chemical-based products. During the student orientation program (PKKMB), 300 students participated in a series of activities, including environmental education, fermentation practice, and harvesting of Eco Enzyme. The results demonstrated improvements in students’ knowledge and skills, with the expectation of long-term behavioral changes in managing waste at its source. The program successfully produced more than 300 liters of Eco Enzyme and significantly reduced organic waste disposal to landfills. More importantly, it cultivated environmentally conscious student leaders. Engaging first-year students in this real-world initiative serves as a strategic effort to instill sustainability values and foster a culture of environmental responsibility both within the campus and the broader community.

Co-Authors , Achmad Fauzi ., Novriyenni Achmad Fauzi Acmad Fauzi Agi Kakana Bangun Ahmad Fauzi Ahmad Kurniawan Prahadi Alanis Humairoh Alfinaty, Nurma Ambarita, Indah Andika, Rio Andri Kristiawan Annatasia, Kristina Arisma Yulistiani Arisya, Feby Arliana, Lina Aula, Nurhasanah Aulia, Damai Aulia Br Karo Ayu Rahayu Febria Ayu Rahayu Febria Buaton, Relita Budi Serasi Ginting Budi Serasi Ginting Citra Ayu Wasih Dea Syafitri Dhea Armaya Dicky Ananda Azhari Dieo Alfiky Ananda Dila Aulia Putri Dimas Prayogi Dina Ervianna Simarmata Dita Sahputri Elfira Iriani Esti Sundari Eva Sasmita Fadilah, Nurul Elsa Farid Reza Malau Farid Reza Malau Farida Hanum Fauzi Ahmad Muda Fauzi, Achmad Fisyanda Yusmalizar Fresti Anjeli Gea, Wisda Wati Gultom, Imeldawaty Hafizh, Faisal Hermansyah Sembiring I Gusti Prahmana Ika Indah Rahayu Intan Sari Irfan Yusuf Jecika Azzahra Kadim, Lina Arliana Nur Katen Lumbanbatu Katen Lumbanbatu Khair, Husnul Khairunisa, Salsabila Kristina Annatasia Br Sitepu Kristina Annatasia Br Sitepu Kusmananda Lubis Lala Arika Leni Tri Ramadhayanti Lina Arliana Liyanti Armaya Sari Lubis, Setia Adiyasa Lumbanbatu, Katen Magdalena Simanjuntak Magdalena Simanjuntak magdalena simanjuntak Malau, Farid Reza Manik, Laurensia Agustin Mariza Marto Sihombing Maskanda Rizky Maulidina, Nadia Melda Pita Uli Sitompul Mhd Arif Permata Mirah, Alta Muammar Khadafi Muhammad Prabowo Hartanta Sitepu Muhammad Rivaldi Prastowo Muhammad Yusri Nadilla Ayudia Pasa Naftali, Juliana Ningsih, Fauziah Nisrina Naufalia Santoso Novriyenni Novriyenni - Novriyenni, Novriyenni Nurhayati Nursakinah Pakpahan , Victor Maruli Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Piper Warni Gea Prahmana, I Gusti Pramana, I Gusti Puteri Diyana Putri Ladya Elvanny Putri Lestari Rafli Pramudia Rahayu, Rizka Putri Rahmat Ramadhan Ramadana, Noval Ramadani, Suci Ratih Puspadini Rayuni, Rayuni Retni Noviyanti Siregar Rindi Asti Ananda Rizki Irwansyah Rizky Ramadhan Rusmin Saragih, Rusmin Sari, Elisa Puspita Saripurna, Darjat Selfira, Selfira Selviyani, Selviyani Sembiring, Hermansyah Sembiring, Jhody Alkhalis Sembiring, Wildan Yuanda Malik Setia Ningsih Shella Nadya Shely Eninta BR PA Sihombing, Anton Sihombing, Marto Silvia, Sindy Simanjuntak, Magdalena Sinurat, Sylvia Natalia Siregar, Retni Noviyanti Siswan Syahputra Suci Rahmadani Suci Ramadani Suci Ramadani suci ramadani Suci Ramadani Suci Ramadani Suci Ramadani Sujayanti Br.Giniting, Novia Suma Dia Syahwani Sundari, Yeni Sundari, Yeni Suria Alamsyah Suria Alamsyah Putra Surya Alamsyah Putra Syahputra , Siswan Syahputra, Siswan Syahputra, Suria Alam Syahputri, Heni Syari, Mili Alfhi Syari, Milli Alfhi Tarigan, Kiki Dea Ananda Tiwi, Chairmayni Pratiwi Tria Damayanti Wardhani, Diah Wardhani, Diah Wardhani Wildan Yuanda Malik Sembiring wildan yuanda malik sembiring Winda Sari Yuyun Arnia Zehy Fadia Zema Zema Zema Zema Zhya Anggraini

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