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JARINGAN SYARAF TIRUAN DALAM MEMPREDIKSI JUMLAH PRODUKSI DAGING SAPI BERDASARKAN PROVINSI Revi, Ahmad; Solikhun, Solikhun; Safii, M
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Prediction is a process for estimating how many needs will be in the future. This study aims to predict the amount of beef production by province. Beef is one source of protein which is also a high value comodities. Meat production in Indonesia in general tends to increase by around 2.76% per year. But along with the increase in beef production in Indonesia, the level of meat consumption in Indonesia tends to fluctuate in recent years. Imports are the most common step taken by the government to meet domestic beef needs. By using the Artificial Neural Network and backpropagation algorithm, it will be predicted the amount of beef production based on the province in order to determine the steps to meet domestic beef demand based on the amount of beef consumption in the community. This study uses 11 input variables, namely data from 2005 to 2016 with 1 target, data of 2017. Using 5 architectural models to test the data to be used for prediction, the 11-4-1 model, 11-8-1 , 11-18-1, 11-20-1 and 11-28-1. Obtained the results of the best architectural model is the 11-28-1 architectural model with truth accuracy of 100%, the number of epochs 15 and MSE is 0.008623197. This model will be used in predicting the amount of beef production by province.Keywords : Beef production, prediction, backpropagatin, Artificial Neural Network

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KEPALA BAGIAN DISTRIBUSI PADA PDAM TIRTAULI PEMATANGSIANTAR DENGAN MENGGUNAKAN METODE SAW Ahmad, Abdullah; Solikhun, Solikhun; Andani, Sundari Retno
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

The study, entitled "Supporting System for the Decision of the Head of Distribution Section at PDAM Tirtauli Pematangsiantar Using the SAW Method" aims to produce a Supportive System that is objective and systematic in determining the distribution heads who have the best qualifications. The research data is sourced from the relevant agencies in 2018. The data that is used as a reference for the requirements of the system requirements that are built is obtained from interviews with relevant agencies. From the interview, it was found that the problem of lack of objectivity and transparency of information in the process of determining the section head in any sector including the determination of the head of the distribution section is the absence of a standard or system used in determining the section head and only using manual selection method so that the determination of the section head is determined subjectively. In addition, the Candidates / alternatives recommended by PDAM Tirtauli themselves consist of 5 employees from a total employee population of 362 with the highest criteria and 5 criteria as the requirements for the assessment of the candidates for the head of the distribution department itself covering the criteria of responsibility (C1), achievement motivation (C2) , discipline (C3), communicative (C4), and working period (C5). This study uses the Simple Additive Weighting (SAW) method. With this system, agency leaders can produce a decision to choose the best distribution head more objectively.Keywords: Election of Distribution Section Head of PDAM Tirtauli Pematangsiantar, Decision Support System (SPK), Simple Additive Weighting (SAW)

ANALISA SPK DENGAN METODE AHP DALAM MENENTUKAN FAKTOR KONSUMEN DALAM MELAKUKAN KREDIT BARANG Fatmawati, Kiki; Windarto, Agus Perdana; Solikhun, Solikhun; Lubis, Muhammad Ridwan
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 1, No 1 (2017): Intelligence of Cognitive Think and Ability in Virtual Reality
Publisher : STMIK Budi Darma

Credit is a financial facility that allows a person or business entity to borrow money to purchase the product and repay it within the specified time period.Â UU No.10 of 1998 states that credit is the provision of money or bills that can be equalized, based on the agreement or lending and borrowing agreements between banks with other parties that require the borrower to repay his debt after a certain period of time with the giving of interest. Currently, credit facilities become the main source of consumer financing in buying goods. In addition there are also consumers who are classified as having enough income to purchase in cash, but choose on credit because there are other needs that must be met. Associated with the cost of most consumers make purchases on credit are consumers who are classified as having middle class income. The process of giving credit to consumers is not easy, because it must consider various factors. The purpose of this research is to make decision support system in determining consumer factor in doing credit goods. Case study conducted by researchers is PT. ADIRA Dinamika Multi Finance Tbk pematangsiantar branch. The method used in this research is Analitycal Hierarchy Process (AHP) method that can give the best ranking order. So as to produce criteria with the highest weights that can be used as consideration for decision makers to be used in decision making. It is expected that this research can contribute to the company in assessing the biggest factor of consumers in choosing goods credits.

ANALISIS SISTEM PENDUKUNG KEPUTUSAN DALAM PEMILIHAN PROGRAM STUDI DI AMIK DAN STIKOM TUNAS BANGSA PEMATANGSIANTAR DENGAN METODE MOORA Apriliani, Lulu; Solikhun, Solikhun; Lubis, Muhammad Ridwan; Saputra, Widodo
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

The many choice of study programs in University, the fact is that it does not make prospective students quickly and easily decide the study program they will take. The selection of study programs is one of the problems faced by students who want to continue their studies to Universities. Many student feel confused about what study program is suitable for them. There are many factors that cause this, including because of the desire of parents, the ability ofÂ yourself, ideals,prospect, or it could be just to follow along with other friends. In this paper the author uses the Moora Method as the weighting method used.Â Â Keywords: SPK, MOORA, Selection of Study ProgramÂ Â The many choice of study programs in University, the fact is that it does not make prospective students quickly and easily decide the study program they will take. The selection of study programs is one of the problems faced by students who want to continue their studies to Universities. Many student feel confused about what study program is suitable for them. There are many factors that cause this, including because of the desire of parents, the ability ofÂ yourself, ideals,prospect, or it could be just to follow along with other friends. In this paper the author uses the Moora Method as the weighting method used. Keywords: SPK, MOORA, Selection of Study Program

ANALISIS SISTEM PENDUKUNG KEPUTUSAN DALAM MENYELEKSI PROPOSAL PROGRAM KREATIVITAS MAHASISWA PENELITIAN TERBAIK DI AMIK TUNAS BANGSA PEMATANGSIANTAR DENGAN METODE MOORA Alifah, Winanda; Solikhun, Solikhun; Lubis, Muhammad Ridwan
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

The Student Creativity Program is the most awaited activity for every state and private university in Indonesia. In this activity each college tried to send as many research proposals as possible with the aim of winning this PKM activity and the hope to improve the quality of a lecturer and student at the college. This PKM activity is included in a prestigious activity because this activity is organized by the Directorate General of Learning and Student Affairs. Therefore AMIK Tunas Bangsa as a private university also wants to participate in PKM activities, especially in the field of research. In 2017 many Tunas Bangsa AMIK students participated in the research proposal submission. With so many students who want to participate, make the lecturers select first proposals that are considered good or feasible before being uploaded on the PKM page. To facilitate the selection of the proposal, the Decision Support System using the MOORA method (Multi Objective Optimization on the Basic Ratio Analysis) is used in the hope of obtaining proposals that are truly feasible to submit to PKM-P activitiesKeywords: SPK, MOORA, Selection of PKM-Research ProposalsÂ Â Â The Student Creativity Program is the most awaited activity for every state and private university in Indonesia. In this activity each college tried to send as many research proposals as possible with the aim of winning this PKM activity and the hope to improve the quality of a lecturer and student at the college. This PKM activity is included in a prestigious activity because this activity is organized by the Directorate General of Learning and Student Affairs. Therefore AMIK Tunas Bangsa as a private university also wants to participate in PKM activities, especially in the field of research. In 2017 many Tunas Bangsa AMIK students participated in the research proposal submission. With so many students who want to participate, make the lecturers select first proposals that are considered good or feasible before being uploaded on the PKM page. To facilitate the selection of the proposal, the Decision Support System using the MOORA method (Multi Objective Optimization on the Basic Ratio Analysis) is used in the hope of obtaining proposals that are truly feasible to submit to PKM-P activities.Keywords:SPK, MOORA, Selection of PKM-Research Proposals

ANALISA PEMILIHAN BARISTA DENGAN MENGGUNAKAN METODE TOPSIS (STUDI KASUS: MO COFFEE) Hutasoit, Rahel Adelina; Solikhun, Solikhun; Wanto, Anjar
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Along with the mushrooming of food & beverrage business in Pematangsiantar city, especially in this case is a coffee shop making a barista a bone of contention for business people in the world of food & beverrage business. This makes business people still feel confused and need information to decide to employ a barista that suits their wishes. The purpose of the study was to analyze the TOPSIS method in determining the selection of baristas with 4 alternatives, namely (A1) Alfian, (A2) Widharta, (A3) Sylviana, and (A3) Anisah. And has 6 assessment criteria, namely (C1) the ability to mix coffee, (C2) know coffee and its intricacies, (C3) taste ability, (C4) work experience, (C5) master the use of a set of coffee machine tools and accessories, and (C6) skill in making latte art. The data obtained will be processed using the TOPSIS method. The results of the study obtained (A3) Widharta with the preference weights (0,6126) as the first rank, followed by the second and third ranks (A2) Sylviana with preference weights (0,4980) and (A1) Disagree with preference weights (0.4597) . It is hoped that this research can help or provide input to Mo Coffee owner in choosing baristas to be employed.Keywords: Barista, TOPSIS, Decision Support System, Pematangsiantar, Assessment Factor, Mo Coffee

MODEL JARINGAN SYARAF TIRUAN DALAM MEMPREDIKSI EKSISTENSI PROGRAM STUDI KOMPUTERISASI AKUNTANSI (STUDI KASUS : AMIK TUNAS BANGSA PEMATANGSIANTAR) Ilham, Muhammad; Lubis, Ega Khairunnisa; Aisyah, Nurfahana Siti; Lubis, Muhammad Ridwan; Solikhun, Solikhun
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 1 (2019): JURNAL SIMETRIS VOLUME 10 NO 1 TAHUN 2019
Publisher : Universitas Muria Kudus

Program studi Komputerisasi Akuntansi adalah program studi yang mempelajari tentang sistem akuntansi dimana komputer sebagai teknologi untuk menjalankan aplikasi untuk mengolah data transaksi akuntansi dan sekaligus untuk menghasilkan laporan akuntansi. Arah kajian keilmuan dari program studi ini mencakup disiplin, proses, teknik dan alat bantu yang dibutuhkan dalam rekayasa sistem informasi akuntansi yang meliputi tahap perencanaan, pembangunan, implementasi dan pemeliharaan. Komputerisasi Akuntansi banyak dibutuhkan di hampir semua bidang dunia kerja, terutama dalam menghadapi era globalisasi yang tak terlepas dari dunia teknologi dan informasi, sehingga perlu dipersiapkan sumber daya manusia yang memiliki kualitas untuk berkompetisi dalam setiap aspek khusunya bidang komputerisasi akuntansi. Tujuan prediksi ini untuk mengetahui, apakah program studi komputerisasi akuntansi masih diminati oleh mahasiswa atau tidak sampai 10 tahun kedepan. Prediksi eksistensi ini menggunakan metode jaringan syaraf tiruan backpropagation. Jaringan syaraf tiruan (JST) adalah paradigm pemrosesan suatu informasi yang terinspirasi oleh sistem sel syaraf biologi. Jaringan ini biasanya diimplementasikan dengan menggunakan komponen elektronik atau disimulasikan pada aplikasi computer. Variabel masukan (input) yang digunakan adalah data tahun 2010 sampai 2017 dengan model arsitektur pelatihan dan pengujian sebanyak 4 arsitektur yakni 8-4-1, 8-6-1, 8-8-1 dan 8-10-1. Data target diambil dari data tahun 2018. Keluaran yang dihasilkan adalah pola terbaik dari arsitektur JST. Model arsitektur terbaik adalah 8-4-1 dengan epoch 3449, MSE 0,02495690 dan tingkat akurasi 67%. Dari model ini maka dihasilkan prediksi Eksistensi Program Studi Komputerisasi Akuntansi di AMIK Tunas Bangsa.

Suwitri : Inspirator dan Kreator Tari Topeng Panji Gaya Tegal Solikhun, Solikhun; Putra, Bintang Hanggoro
Jurnal Seni Tari Vol 8 No 2 (2019): Kajian Tekstual dan Kontekstual Tari Nusantara
Publisher : Department of Drama, Dance, and Music Education

Penelitian ini mengacu pada bagaimana Suwitri sebagai inspirator dan kreator dalam mengimplementasikan karakter tokoh panji, dan bagaimana Suwitri mengimplementasikan karakter tokoh panji. Tari Topeng Panji Gaya Tegal selalu ditarikan oleh seorang perempuan, hal tersebut bertolak belakang dengan karakter tokoh panji, sehingga pusat penelitian utama adalah peran Suwitri dalam membentuk karakter tokoh panji. Tujuan dari penelitian ini yaitu menjelaskan bagaimana upaya Suwitri mendalami karakter tokoh panji dalam Tari Topeng Panji Gaya Tegal, dan mendeskripsikan peran Suwitri sebagai inspirator dan kreator terhadap pembentukan karakter tokoh dalam Tari Topeng panji Gaya Tegal. Penelitian ini menggunakan metode kualitatif. Perolehan data lapangan kemudian diolah dan dituliskan dalam metode deskriptif. Teknik pengumpulan data berupa wawancara, observasi, dan dokumentasi. Hasil penelitian menyebutkan Suwitri dapat mengimplementasikan karakter panji dengan baik meskipun Suwitri seorang perempuan, bakat sebagai pewaris Tari Topeng Tegalan dari keluarga, kepribadian yang kelaki-lakian, serta kegemarannya menarikan karakter putra merupakan faktor keberhasilan Suwitri dalam mengimplementasikan karakter panji. Faktor sumber daya manusia (laki-laki) yang tidak mau menekuni dunia seni tari dengan pola pikir bahwa tari merupakan dunia perempuan dan laki laki hanya sebagai fasilitas pendukung pertunjukannya menjadi faktor utama mengapa Tari Topeng Panji Gaya Tegal selalu ditarikan oleh penari perempuan

JARINGAN SYARAF TIRUAN DALAM MEMPREDIKSI JUMLAH PRODUKSI DAGING SAPI BERDASARKAN PROVINSI Revi, Ahmad; Solikhun, Solikhun; Safii, M
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.941

Prediction is a process for estimating how many needs will be in the future. This study aims to predict the amount of beef production by province. Beef is one source of protein which is also a high value comodities. Meat production in Indonesia in general tends to increase by around 2.76% per year. But along with the increase in beef production in Indonesia, the level of meat consumption in Indonesia tends to fluctuate in recent years. Imports are the most common step taken by the government to meet domestic beef needs. By using the Artificial Neural Network and backpropagation algorithm, it will be predicted the amount of beef production based on the province in order to determine the steps to meet domestic beef demand based on the amount of beef consumption in the community. This study uses 11 input variables, namely data from 2005 to 2016 with 1 target, data of 2017. Using 5 architectural models to test the data to be used for prediction, the 11-4-1 model, 11-8-1 , 11-18-1, 11-20-1 and 11-28-1. Obtained the results of the best architectural model is the 11-28-1 architectural model with truth accuracy of 100%, the number of epochs 15 and MSE is 0.008623197. This model will be used in predicting the amount of beef production by province.Keywords : Beef production, prediction, backpropagatin, Artificial Neural Network

ANALISA PEMILIHAN BARISTA DENGAN MENGGUNAKAN METODE TOPSIS (STUDI KASUS: MO COFFEE) Hutasoit, Rahel Adelina; Solikhun, Solikhun; Wanto, Anjar
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 2, No 1 (2018): Peranan Teknologi dan Informasi Terhadap Peningkatan Sumber Daya Manusia di Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v2i1.935

Along with the mushrooming of food & beverrage business in Pematangsiantar city, especially in this case is a coffee shop making a barista a bone of contention for business people in the world of food & beverrage business. This makes business people still feel confused and need information to decide to employ a barista that suits their wishes. The purpose of the study was to analyze the TOPSIS method in determining the selection of baristas with 4 alternatives, namely (A1) Alfian, (A2) Widharta, (A3) Sylviana, and (A3) Anisah. And has 6 assessment criteria, namely (C1) the ability to mix coffee, (C2) know coffee and its intricacies, (C3) taste ability, (C4) work experience, (C5) master the use of a set of coffee machine tools and accessories, and (C6) skill in making latte art. The data obtained will be processed using the TOPSIS method. The results of the study obtained (A3) Widharta with the preference weights (0,6126) as the first rank, followed by the second and third ranks (A2) Sylviana with preference weights (0,4980) and (A1) Disagree with preference weights (0.4597) . It is hoped that this research can help or provide input to Mo Coffee owner in choosing baristas to be employed.Keywords: Barista, TOPSIS, Decision Support System, Pematangsiantar, Assessment Factor, Mo Coffee

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