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All Journal JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Sains dan Teknologi TRIDARMA: Pengabdian Kepada Masyarakat (PkM) INFOKUM Jurnal Pengabdian kepada Masyarakat Nusantara Digital Transformation Technology (Digitech) Jurnal ICT : Information and Communication Technologies
Petti Indrayati Sijabat
STMIK Pelita Nusantara, Medan
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Library & Information Science Mathematics Mechanical Engineering Physics Social Sciences

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APRIORI ALGORITHM FOR THE DETERMINATION OF THE GOODS SALES MARKET BANK Fricles Ariwisanto Sianturi; Petti Indrayati Sijabat; Amran Sitohang; R. Mahdalena Simanjorang
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.994 KB)

Abstract

Data mining a process of finding meaningful new relationships, patterns, and trends by filtering the huge data stored in the database using pattern recognition techniques. One of the data mining techniques is the a priori algorithm. A priori algorithm is defined as an algorithm for finding the highest frequency patterns. Currently, the a priori algorithm has been implemented in various fields, one of which is in the field of business or trade and the field of education. Market basket analysis technique or market basket analysis is a data mining technique that aims to find products that are often purchased simultaneously from transaction data. Bina Karya Swalayan is a modern market that has various types of goods. Where in the supermarket there are still some problems faced by a manager and employees
IMPLEMENTATION OF QUANTITATION TECHNIQUES TO PERFORM RGB IMAGE COMPRESSION Petti Indrayati Sijabat
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

the use of RGB images is a necessity in various fields. However, its use is constrained by the large file capacity, but it is possible to compress the images that are owned as needed. With the quantization method, the R matrix, G matrix and B matrix will be reduced in level, so that the number of bits used to represent the image is reduced. Because the number of bits is reduced, the file size becomes smaller. The quantization method is included in the Lossy Compression category, so that the compressed image cannot be decompressed again because there is missing information. Image compression is an image compression process that aims to reduce duplication of data in the image so that less memory is used to represent the image than the original image representation. There are factors why the image compression process is very appropriate so that there is no significant correlation between pixels and neighboring pixels
CASE BASED REASONING FOR HANDLING FINAL STUDENT GRADUATION PROBLEMS AT STMIK PELITA NUSANTARA Petti Indrayati Sijabat; Endra AP Marpaung
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

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Abstract

Handling the graduation of problematic final students at STMIK Pelita Nusantara is very much needed during this pandemic considering the problems that were passed in 2020 and many students did not graduate on time due to many problems such as academic problems, study programs and finances. The number of problematic final student problems is caused by quite a number of cases. Examples are students who do not attend lectures according to the curriculum schedule that should be followed, including non-active students for several semesters, students who fail to exceed the minimum standards set by the study program, students do not pay tuition administration fees and students do not know or are not active to get good information academically. and students do not complete the thesis within the stipulated time. The problem is that many students do not graduate on time due to many problems such as academic problems, study programs and finances. This problem is like a student who does not attend lectures for 1 year but can still continue his lectures which happened in the final semester. From the research conducted, it is expected to produce a decision support system that is able to become a medium of information for students and study programs to disseminate information on academic sanctions for students who commit violations
Sistem Pakar Penanganan Penyakit Tanaman Jahe Dengan Metode Case Based Reasoning Petti Indrayati Sijabat; Sulindawaty Sulindawaty
JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Vol. 1 No. 2 (2018): Jutikomp Volume 1 Nomor 2 Oktober 2018
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jutikomp.v1i2.229

Abstract

Penurunan jumlah produksi jahe disebabkan berbagai faktor, salah satu diantaranya adalah serangan hama penyakit tanaman. Berbagai jenis hama biasanya menyerang dan menimbulkan kerusakan pada akar, rimpang, pangkal batang, batang dan daun. Untuk menangani penyakit pada tanaman jahe dilakukan penerapan sebuah sistem pakar yaitu metode case based reasoning. Penelitian ini bertujuan untuk membangun sistem pakar dalam menangani penyakit jahe berdasarkan nilai kemiripan tertinggi dan sesuai dengan analisa pakar penanganan penyakit tanaman jahe. Penerapan sistem pakar ini menghasilkan hasil penanganan berdasarkan kemiripan berupa penyakit, nilai kemiripan (similarity). Menurut pakar jahe, ada 22 (dua puluh dua) gejala penyakit jahe diberi kode G1 s.d G22 dan 6 (enam) jenis penyakit diberi kode P1 s.d P6. Dari studi kasus diperoleh Similarity untuk P1= 2,8/6,5 sebesar 0,4307 P2= 1,8/6,5 sebesar 0,2769, P3= 1/6,5 sebesar 0,1538, P4=1,4/6,5 sebesar 0,2153, P5=2/6,5 sebesar 0,1846 P6=1,1/6,5 sebesar 0,1692. Hasil kasus lama, nilai kemiripan tertinggi: penyakit layu bakteri [P1], tingkat kemiripan 43 %. Perhitungan nilai kemiripan berdasarkan kasus lama yaitu menjumlahkan semua gejala yang dipilih dan membagikan nilai total gejala penyakit secara keseluruhan, dihasilkan nilai gejala baru= 0,15. Hasil kasus baru menghasilkan nilai kedekatan pada penyakit buncak akar, kode penyakit=P3 (Penyakit bercak daun) dan bernilai sebesar 0.2307.
Implementasi Metode Simple Multi Attribute Rating Technique (SMART) Untuk Pengambilan Keputusan Pemilihan Obat Herbal Petti Sijabat; Arjon Samuel Sitio
Jurnal Sains dan Teknologi Vol. 2 No. 2 (2021): Jurnal Sains dan Teknologi
Publisher : CV. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34013/saintek.v2i2.126

Abstract

All levels of society basically want to have a healthy and fresh body. Every activity or activity that ends with the goal of overcoming a fat body so that it is hoped that it will no longer be fat, is interpreted as an activity or diet activity. Overcoming a fat body into an ideal body is very difficult for consumers to do. Many consumers find an easy and fast alternative way to process their diet program. The search for herbal medicine to meet one's dietary needs requires a lot of effort and time, rather than finding chemical drugs that tend to be relatively easy, but have more dangerous properties than consuming herbal medicines, which tend to be very few side effects. For this reason, consumers are expected to consume herbal medicines that are much safer, rather than consuming chemical drugs that are harmful to the health of the body.This paper discusses ways to overcome problems in choosing herbal medicines for the right diet so that it can provide a positive response for every consumer in consuming herbal medicine to meet their dietary needs in their life. The Simple Multi-Attribute Rating Technique (SMART) method is a multi-attribute decision-making method. This multi-attribute decision-making technique is used to assist the process of selecting herbal medicines for the right diet so that the results given are more accurate
PKM : Pemberdayaan Ibu Rumah Tangga Desa Sampurtoba Kecamatan Harian Kabupaten Samosir Dalam Penanaman Dan Pemanfaatan Tanaman Obat: Pemberdayaan Ibu Rumah Tangga Desa Sampurtoba Kecamatan Harian Kabupaten Samosir Dalam Penanaman Dan Pemanfaatan Tanaman Obat R. Mahdalena Simanjorang; Petti Indrayati Sijabat; Amran Sitohang
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 3 No. 1, Mei (2020): TRIDARMA: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Program Pengabdian Kepada Masyarakat ini bertujuan untuk meningkatkan sikap peduli, empati mahasiswa dan kondisi keberadaan masyarakat terhadap perekonomian dalam meningkatkan taraf hidup dan pemenuhan obat tradisional yang berasal dari tanaman obat keluarga (TOGA). Kegiatan akan dilaksanakan dengan menggunakan perpaduan antara metode pemberdayaan masyarakat, diklat dan pendampingan dengan melibatkan Mahasiswa Peserta Pengabdian Kepada Masyarakat di Desa Sampurtoba. Langkah awal yang dilakukan adalah melakukan pemberdayaan dan Pendampingan kepada masyarakat khususnya ibu rumah tangga yang memiliki lahan pekarangan untuk TOGA di Desa Sampurtoba. Kelompok masyarakat yang memiliki TOGA diberikan pelatihan pemanfaatan Tanaman Obat Keluraga (TOGA). Tahapan berikutnya adalah upaya dalam Pembuatan Jamu instant di sertai dalam pengawasan penggunaan jamu instant terhadap masyarakat Desa Sampurtoba Kecamatan Harian Kabupatenm Samosir Target akhir dari kegiatan Pengabdian Kepada masyarakat ini adalah melakukan pemberdaayan kepada ibu rumah tangga dalam sentuhan ilmu dan teknologi bagi dosen mahasiswa dan masyarakat dengan memanfaatkan lahan pekarangan sebagai basis ekonomi local masyarakat.
PKM : Pelatihan Media Pembelajaran Berbasis TIK Menggunakan Aplikasi Open Source di SMA Prima Nusantara: Pelatihan Media Pembelajaran Berbasis TIK Menggunakan Aplikasi Open Source di SMA Prima Nusantara R. Mahdalena Simanjorang; Amran Sitohang; Petti Indrayati Sijabat
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 2 No. 1, Mei (2019): TRIDARMA: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Salah satu bentuk Tri Dharma perguruan tinggi adalah pengabdian masyarakat. Kegiatan pengabdian masyarakat merupakan hilirisasi hasil penelitian yang telah dilakukan oleh seorang dosen. Salah satu bentuk pengabdian yang dapat dilakukan adalah kegiatan pelatihan dan pendampingan pembuatan media pembelajaran berbantuan komputer menggunakan aplikasi Open Source. Pelatihan dan pendampingan pembuatan media pembelajaran ini dilaksanakan di dua sekolah yaitu SMA Prima Nusantara Lubuk Pakam. Kegiatan pelatihan diikuti oleh seluruh guru yang berasal dari sekolah tersebut. Kegiatan ini bertujuan untuk meningkatkan kreativitas guru dalam mengajar khususnya pada penggunaan media pembelajaran berbantuan komputer, meningkatkan kemampuan guru dalam membuat karya ilmiah khususnya dalam pembuat Penelitian Tindakan Kelas.
PkM: Pelatihan Membuat Daftar Pustaka Otomatis Dengan Aplikasi Mendeley Di STMIK Pelita Nusantara Petti Sijabat; Fristi Riandari
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 4 No. 1 (2021): Mei: TRIDARMA: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Kebutuhan mahasiswa akhir untuk memanfaatkan fasilitas aplikasi mendelay semakin berguna dalam meningkatkan percepatan penyelesaian skripsi. STMIK Pelita Nusantara Medan terkhusus mahasiswa akhir ada beberapa yang telah memberdayakan aplikasi mendelay sebagai sarana untuk membuat daftar pustaka otomatis. Namun beberapa kendala masih ada, mengingat tidak semua mahasiswa akhir mampu mengenali dan memanfaatkan aplikasi mendelay dengan baik Seperti dicontohkan mahasiswa akhir di tahun 2020 di STMIK Pelita Nusantara masih banyak yang membuat daftar pustaka secara manual. Sasaran dalam program pengabdian ini adalah meningkatkan kemampuan mahasiswa akhir STMIK Pelita Nusantara Medan dalam penggunaan teknologi informasi yaitu dengan pelatihan membuat daftar pustka otomatis dengan aplikasi mendelay sehingga mampu memanfaatkan sarana yang ada di aplikasi Mendelay untuk kepentingan penyelesaian skripsi serta meningkatkan kemampuan dalam media pembelajaran melalui pelatihan membuat daftar pustaka otomatis dengan aplikasi mendelay. Berdasarkan hasil pengamatan dan evaluasi di pelatihan membuat daftar pustka otomatis dengan aplikasi mendelay di STMIK Pelita Nusantara terlihat mahasiswa mengikuti pelatihan dengan sangat antusias. Pelatihan membuat daftar pustka otomatis dengan aplikasi mendelay di STMIK Pelita Nusantara dilaksanakan selama 1 hari yaitu pada tanggal 15 Maret dengan jumlah peserta yang di rencanakan sebanyak 16 mahasiswa. Pemateri yang mengikuti program pelatihan ini memiliki disiplin ilmu yang berbeda-beda sesuai dengan bidang keahlian dan mata pelajaran yang diampunya.
EXPERT SYSTEM TO DIAGNOSE POLYCYSTIC OVARY SYNDROME (PCOS) USING THE NAÏVE BAYES METHOD Agustina Simangunsong; Petti Indrayati Sijabat; Evi Ningsih Ana Giawa
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

The development of information systems and technology including expert systems that use facts, techniques and knowledge and reasoning in solving problems. The expert system that is currently developing is a system that adopts the knowledge of an expert in a particular field. In everyday life, we often encounter problems faced by humans, including disease problems in the human body, so we need to consult an expert in the health sector to solve these problems. However, sometimes patients with disease cannot consult an expert due to the large number of patients as well as time and cost issues. In light of these existing problems, it is necessary to develop a system that can help these patients, namely by developing an Expert System model for diagnosing Polycystic Ovary Syndrome (PCOS) using the Naïve Bayes method. The Naïve Bayes method will assist in diagnosing the disease.
Decision Support System for Determining Homeroom Teachers at SMPN 3 Porsea Using the Simple Additive Weighting Method Amran Sitohang; Petti Indrayati Sijabat
Jurnal ICT : Information and Communication Technologies Vol. 14 No. 1 (2023): April, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.386 KB) | DOI: 10.35335/jict.v11i1.6

Abstract

Determination of homeroom teachers at SMPN 3 Porsea using the Simple Additive Weighting method. The model used in this decision support system is Fuzzy Multiple Attribute Decision Making (FMADM) which is a system that can produce an alternative decision that can be used as a tool in making decisions. Based on government demands in the field of education to improve the quality of homeroom teachers, system development This decision support is one way to assist in determining the appropriate teacher to be a homeroom teacher. The SAW method was chosen because this method determines the weight value for each attribute, then proceed with a ranking process that will select the best alternative from a number of alternatives in question, namely the teacher who has the highest score based on each predetermined criterion. With this ranking method, the assessment will be more precise because it is based on the criteria and weights that have been determined so as to get accurate results as a decision aid to determine the homeroom teacher at SMPN 3 Porsea.
Co-Authors Amran Sitohang Amran Sitohang Arjon Samuel Sitio Endra AP Marpaung Evi Ningsih Ana Giawa Fristi Riandari hendra marpaung Jonson Sianipar Murni Marbun Nuraisana Nuraisana R. Mahdalena Simanjorang R. Mahdalena Simanjorang Romel Sibarani Simangunsong, Agustina Sulindawaty, Sulindawaty Yulianus Zai