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All Journal Riau Journal of Computer Science Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JITK (Jurnal Ilmu Pengetahuan dan Komputer) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer INFOKUM Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Journal of Computer Networks, Architecture and High Performance Computing Journal of Artificial Intelligence and Engineering Applications (JAIEA) TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Mardi Turnip, Mardi
Universitas Prima Indonesia
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media

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Sistem Pembibitan PT. Agrowisata Porlak Parna Berbasis Web JOICE ANGELINA PURBA; JURMIDA PULUNGAN; MARDI TURNIP; ADVENT TORAS MARBUN
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 5, No 2 (2020): MIND Journal
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v5i2.81-91

Abstract

AbstrakPT. Agrowisata Porlak Parna mempunyai program kegiatan penyediaan bibit dan menyalurkan bibit untuk melestarikan kawasan di sekitar danau toba. Namun pengolahan dan penyaluran data bibit mengalami kesulitan Karena sistem yang terdapat pada perusahaan masih menggunakan sistem konvensional. Untuk itu perlu dirancang sistem pembibitan dalam bentuk website dengan PHP  digunakan sebagai bahasa pemrograman, DBMS MySQL sebagai database pada  model waterfall. Rancangan tersebut menghasilkan sistem pembibitan yang memudahkan admin dalam mengolah data bibit dan pengadopsi dapat mengetahui perkembangan bibit sehingga membantu meringankan pekerjaan pegawai dan meningkatkan kinerja yang baik terhadap perusahaan.Kata kunci: Sistem Pembibitan, Web, PHP, DBMS MySQL, WaterfallAbstractPT. Porlak Parna Agrotourism has a program of providing seeds and distributing seeds to preserve the area around Lake Toba. However, the processing and distribution of seed data experienced difficulties because the system contained in the company was still using a conventional system. For this reason, it is necessary to design a nursery system. In the form of a website with PHP used as a programming language, DBMS MySQL as a database in the waterfall model. The design produces a nursery system that makes it easier for admins to process seed data and adopters can find out the development of seedlings so as to help ease the work of employees and improve good performance for the company.Keywords: Nursery System, Web, PHP, MySQL DBMS, Waterfall
Sistem Pakar Untuk Mendiagnosa Penyakit Ginjal Menggunakan Metode Backward Chaining Delima Sitanggang; Winarti Pasaribu; Mardi Turnip
Jurnal Informatika Kaputama (JIK) Vol 1 No 2 (2017): Volume 1, Nomor 2, Juli 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v1i2.447

Abstract

Sistem pakar untuk mendiagnosa penyakit ginjal merupakan sistem yang berguna untuk mengetahui jenispenyakit pada ginjal, beserta gejala yang dialami user.Pemilihan masalah menyangkut jenis penyakit ginjal sebagai sampel penelitian ini, adalah kenyataan bahwa penyakit ginjal merupakan organ penting dalam sistem metabolisme tubuh kita, karena padatnya aktivitas, kitasering lupa untuk menjaganya. Pola makan yang tidak teratur, kurangnya asupan serat dan air mineral, serta konsumsi makanan atau minuman instan berkalori tinggi, tanpa sadar telah memperberat kerja ginjal.Sistem pakar ini dibuat menggunakan metode Backward Chaining dimana proses pencarian dimulai dari fakta fakta untuk selanjutnya menuju pada suatu konklusi. dan bahasa pemograman yang digunakan adalah PHP dan database MySQL. Penentuan diagnosa dalam sistem pakar ini dilakukan melalui proses konsultasi antara sistem dan user. Jawaban disesuaikan dengan aturanyang berada di dalam sistem, jika jawaban yang dimasukkan sesuai dengan aturan yang berlaku, maka sistem ini akan memberikan hasil diagnosa berupa informasi penyakit. Diharapkan dengan dibuatnya.Sistem Pakar Untuk Mendiagnosa Penyakit Ginjal dapat memberikan hasil diagnosa, serta pencegahanya.
Academic Performance Assessment Prediction Model Using the Adaptive Neuro-Fuzzy Inference System Method Mardi Turnip; M. Arif Almahdi; Timi Tampubolon; Ade Irma Suryani; Astri Milleniar Marbun; Cindy Cynthia; Ester Ayu S. Marpaung
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.v3i1.340

Abstract

Performance evaluation of Human Resources is an important part of an organization or company. One of the HR in tertiary institutions that must be evaluated is academic performance. The author conducted research on the factors of academic performance assessment. Therefore, we need a system that can classify academic performance optimally in order to improve the quality of academic performance. In this research, we construct a predictive model for academic ability evaluation using Adaptive Neuro-Fuzzy Inference System method. The ANFIS method shows a very good data accuracy of 92.20%. From each variable motivation to work appraisal show is a Good, competence to work appraisal = Good, compensation to work appraisal show is a Good, responsibility to work appraisal show is a Good, and job satisfaction to work assessment show is Good.
Utilization of Artificial Intelligence in Predicting Crime Joan Stacia Carissa; Mardi Turnip
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3208

Abstract

The problem of crime in Indonesia is an urgent issue, with crime rates continuing to increase. High crime rates have serious impacts on societal security, social stability, and economic development. Amidst the complexity of types of crime, motives and methods of handling them, Artificial Intelligence (AI) and Machine Learning (ML) technology has emerged as a promising solution. Through analysis of a literature review with the keywords "AI and crime," this research aims to understand the differences between the use of AI in crime prediction and traditional methods. The literature review method will identify and analyze the latest knowledge regarding the use of AI technology in overcoming crime problems. The use of AI in analyzing crime data, identifying complex patterns, and providing accurate predictions will be emphasized. The research will also explain how AI is able to overcome problems that are difficult to solve with conventional methods. It is hoped that the results of this literature review will provide deeper insight into the potential of AI in reducing crime rates and c reating a safer environment for people in Indonesia.
PENERAPAN METODE TOPSIS DALAM PENENTUAN KELAYAKAN CALON PEN ERIMADANA BANTUAN MASYARAKAT MISKIN Turnip, Mardi
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 1 No. 2 (2017): Volume 1, Nomor 2, Juli 2017
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v1i2.745

Abstract

Bantuan Langsung Tunai (BLT) adalah program bantuan pemerintah berjenis pemberian uang tunai atau beragam bantuan lainnya untuk masyarakat miskin.Untuk mempermudah menyeleksi masyarakat dibutuhkan suatu program aplikasi sistem pengambilan keputusan yang dapat membantu dalam pengambilan suatu keputusan secara cepat, tepat, dan akurat.Dalam melakukan penyeleksian keluarga miskin pada Desa Gelam Sei Serimah sebagian masih menggunakan cara yang bersifat konvensional. Dengan adanya kriteria yang harus dipenuhi serta banyaknya pula keluarga yang harus diseleksi menjadi salah satu hal yang menyulitkan dalam melakukan penyeleksian penentuan keluarga miskin.Untuk itu diperlukan suatu sistem pendukung keputusan yang bisa menjadi keputusan alternatif pendukung dalam menentukan masyarakat yang layak menerima bantuan menggunakan metode TOPSIS.
APLIKASI PERHITUNGAN ANGKA KREDIT JABATAN FUNGSIONAL DOSEN BERBASIS WEB MEGGUNAKAN MODEL WATERFALL Turnip, Mardi; Bolon, Debby Novriyanti Br Tp.; Nababan, Marlince N.K; Sitanggang, Delima
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 2 No. 1 (2018): Volume 2, Nomor 1, Januari 2018
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v2i1.791

Abstract

Universitas Prima Indonesia merupakan salah satu perguruan tinggi swasta yang masih menggunakan sistem komputerisasi namun masih terbatas melakukan pengolahan data. Proses ini memungkinkan hilangnya data atau arsip yang rusak dan dapat membuat kesalahan terus-menerus. Hal ini diperlukan untuk menciptakan aplikasi atau sistem informasi yang dapat mempermudah proses pengajuan jabatan pangkat dan jabatan fungsional agar terhindar dari kesalahan yang terus menerus. Untuk mengatasi permasalahan di atas penulis tertarik untuk membuat Aplikasi Perhitungan Angkat Kredit Jabatan Fungsional Dosen Berbasis Web di Universitas Prima Indonesia yang diharapkan dapat mengurangi kesalahan umum, proses yang ada dan dapat mempermudah pengolahan data dosen serta informasi yang berkaitan dengan promosi dan posisi dosen.
Determination of qualified human resources using the ANFIS method Amri , Ahmad Alfauzan; Roshan, Rohit; Ananda, Debby; Tarigan, Richard Fernando; Wong, Yano Sabar M; Turnip, Mardi
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 1 (2023): Articles Research Volume 7 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12093

Abstract

To improve the quality of education is very closely related to the problem of human resources. One of the main key in creating professional human resource lies in the recruitment process, workforce selection and training. Finding a professional and qualified workforce is not easy and a must in an organization or university in screening new employees or lecturers. Therefore we need a system for organizations and universities to be able to get the right people, qualified and placed according to their abilities. This research was conducted using quantitative descriptive research methods and data collection methods in the form of questionnaires and using Adaptive Neuro-Fuzzy Inference System (ANFIS). From the results of testing the data this algorithm shows a data accuracy rate of 77 percent Keywords: HR, ANFIS, questionnaire, quantitative description
Application of Decision Tree Method in ECG Signal Classification For Heart Disorder Detection Banjarnahor, Jepri; Sinaga, Friska; Sitorus, Dedi Setiadi; Sitanggang, Wahyu Adventus Andreas; Turnip, Mardi
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13596

Abstract

Cardiovascular Disease (CVD) is a group of diseases that affect the heart and blood vessels, and it is the leading cause of death globally. In Indonesia, Coronary Heart Disease (CHD) is one of the most prevalent CVDs. However, due to the high cost of drugs, lengthy treatment duration, and various supporting examinations required, treating CHD can be very expensive. An obstacle to treating heart disease in Indonesia is the insufficient number of cardiologists and experts experienced in interventional cardiology. Along with technological developments, the computer science community is encouraged to contribute to the medical field. For instance, using an electrocardiogram (ECG) can help prevent and minimize problems arising from heart disease. An Electrocardiogram (ECG) is a medical test that measures and records the heart’s electrical activity using a machine that detects electrical impulses. The use of Artificial Intelligence (AI) in ECG is rapidly increasing and has shown to have great potential in improving the diagnosis and treatment of cardiac patients. AI has become a valuable tool in helping doctors diagnose, predict risk, and manage heart disease with greater accuracy, speed, and precision. One of the machine learning methods used in this research is the decision tree method, which is often employed to make decisions. The decision tree method exhibited promising results, with an accuracy rate of 99% in identifying heart defects at an early stage. This method has significant potential to assist doctors in diagnosing heart defects at an early stage with high accuracy.
Pengembangan Sistem Informasi Manajemen Penjualan Aksesoris Motor Berbasis Web Tarigan, Julio Putra; Dharma, Abdi; Aisyah, Siti; Sitanggang, Delima; Saragi, Yosua Morales; Turnip, Mardi
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).pp216-219

Abstract

In this era of globalization, computerized systems have been used by many parties, both agencies, organizations and educational institutions. A computerized system is an information system that will design transaction data into useful information and aims to help make efficient decisions. However, at this time, PT. Surya Mandiri Motor does not yet use a computerized system, so errors often occur in recording, calculating transaction data, there are difficulties in searching for data and difficulties in making reports. This sales information system can be a solution that can simplify data processing so that the sales transaction process will be faster, more precise and accurate. This system was built using the PHP programming language and MySQL database.
Aplikasi Sistem Pendukung Keputusan Penerimaan Karyawan dengan Menggunakan Metode Weighted Product Turnip, Mardi
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 1 No. 2 (2018): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (678.166 KB)

Abstract

Sumber Daya Manusia adalah salah satu faktor terpenting dalam menentukan kemajuan suatu perusahaan. Sistem penerimaan karyawan di PT. Modern Plasindo Mutiara masih dilaksanakan secara konvensional, sehingga membutuhkan waktu yang lama untuk menentukan karyawan yang diterima. Selain itu, hal tersebut juga memungkinkan terjadinya penilaian secara subjectif. Untuk membantu menyelesaikan masalah tersebut, dapat digunakan sistem pendukung keputusan (Decision Support System). Metode yang digunakan dalam penelitian ini metode Weighted Product (WP). Kriteria yang digunakan dalam penelitian ini yaitu: pendidikan, pengalaman, keterampilan, wawancara, uji lapangan, IPK. Penelitian ini bertujuan untuk mempermudah dalam menentukan karyawan baru yang diterima.
Co-Authors -, aditya perdana -, Evta Indra -, Ruben Abdi Dharma Ade Irma Suryani Aditya Perdana aditya perdana - ADVENT TORAS MARBUN Albert Sagala, Albert Amri , Ahmad Alfauzan Ananda, Debby Andreas Theo Pilus Alista Teles Siahaan Ardila, Niki Arjon Turnip Astri Milleniar Marbun Banjarnahor, Jepri Bolon, Debby Novriyanti Br Tp. Bunawolo, Methina Cahyadi, Andika Carissa, Joan Stacia Chandra, Angelia Ayu Cindy Cynthia Debby Novriyanti Br Tp.Bolon Dedy Ristanto Hulu Delima Sitanggang, Delima Denny Irvan Sinuhaji Ester Ayu S. Marpaung Evta Indra Felix Widarko Hulu, Dedy Ristanto Hulu, Yosefa Intan Susanti Simarmata Joan Stacia Carissa Johan Libby JOICE ANGELINA PURBA JURMIDA PULUNGAN Kelvin M. Arif Almahdi Manao, Sonatafati MARBUN, ADVENT TORAS Marlince N.K Nababan Nababan, Marlince N.K Ndruru, Jonathan Haris P. Oktarino, Ade Owen Owen Panjaitan, Haposan Daniel Patterson, Jennifer Perangin-angin, Despaleri Priambodo, Ganang Reza PULUNGAN, JURMIDA PURBA, JOICE ANGELINA Roshan, Rohit Salmiati Salsabillah Saragi, Yosua Morales Saut Parsaoran Tamba Sigalingging, Josepta Sihaloho, Theresia Delima Simbolon, Naftalia Sinuhaji, Denny Irvan Sitanggang, Wahyu Adventus Andreas Siti Aisyah Sitompul, Daniel Ryan Hamonangan Sitorus, Dedi Setiadi Situmorang, Andreas Situmorang, Fransido Solly Aryza Sonia Novel Lase Sukhbir Singh Sunnia, Cecilia Tarigan, Julio Putra Tarigan, Richard Fernando Timi Tampubolon Venta Br.Tarigan, Emma Wijaya, Benny Wijaya, Kenrick Alvaro William, David Winarti Pasaribu Wong, Yano Sabar M Yenny Yenny Yoga Tri Nugraha