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Goal Programming Method in Optimizing Course Student Admission, Operational Costs and Profits Muhammad Khahfi Zuhanda; Saib Suwilo; Opim Salim Sitompul; Mardingsih Mardingsih
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 5, No 2 (2022): Issues January 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v5i2.6072

In today's business competition, educational institutions or courses require optimizing profits. However, this is not easy because, in its implementation, there are many priority objective functions that must be fulfilled. In this case, the course institution has different class programs, namely literacy, numeracy, and math olympiad programs, with various operational costs per program type and course fees per program type. This problem requires setting priorities because of the limited number of revenues, operating costs, and profit targets. In this paper, the researcher uses Winter's Exponential Smoothing forecasting model to determine the number of students, operating costs, and profits in the following year. Then the researcher analyzes the planning with the goal programming method to minimize the deviation of the multi-objective programming. This research shows that the number of student admissions who can meet market demand for January 2021 decreased by 5.41%, in February decreased by 3.20%, in March decreased by 1.29%, April remained constant, in May increased by 1.44%, June increased by 2.16%, July increased 2.82%, August increased 2.78%, September increased 3.47%, October increased 3.22%, November an increase of 3.33%, and for December an increase of 2.69%. The total operational cost that does not exceed the target limit is Rp. 30,475,0000 for one year. The total profit has reached the target to be achieved, which is Rp. 322,150,000 for one year.

TRANSFORMASI LINIER UNTUK PERSOALAN PROGRAM KUADRATIK NOL-SATU M Khahfi Zuhanda
Educational Building Jurnal Pendidikan Teknik Bangunan dan Sipil Vol 3, No 2 DESEMBER (2017): EDUCATIONAL BUILDING
Publisher : Jurusan Pendidikan Teknik Bangunan Fakultas Teknik Universitas Negeri Medan

Program non linier merupakan persoalan yang cukup menarik untuk di bahas oleh matematikawan. Salah satunya program kuadratik nol-satu yang fungsi tujuan dan kendala berbentuk persamaan kuadratik. Program kuadratik nol-satu merupakan kelas khusus dalam pemrograman non-linier karena persyaratan peubah keputusan bernilai nol-satu. Tulisan ini akan mengajukan sebuah teknik untuk menyelesaikan persoalan program kuadratik nol-satu yang dikembangkan oleh Sherali dan Smith. Teknik ini mengubah Quadratic Problems (QP) menjadi kebentuk Bilinier Problems(BP) terlebih dahulu. Akhir dari proses ini mengakibatkan transformasi program kuadratik nol-satu menjadi persoalan linier nol-satu. Kata Kunci : integer, linierisasi, nol-satu, program kuadratik ABSTRACT Non-linear programming is an interesting issue to be discussed by mathematician. One of them is a zero-one quadratic programming, where the objective function and constraints are quadratic equations. The zero-one quadratic programming is a special case in non-linear programming because of the requirement of value variable is zero-one. This paper propose a technique for solving the zero-one quadratic programming problem was developed by Sherali and Smith. This technique converts the Quadratic Problems (QP) into Bilinier Problems (BP) first. The end of this process will transfrom zero-one quadratic programming to zero-one linear programming problem Keywords: Integer, Linearization, Quadratic Programming, Zero-One,

Twitter User Sentiment Analysis on the Mysterious Hepatitis Issue Rstudio Muhammad Khahfi Zuhanda; Desniarti Desniarti; Muhammad Hafiz
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7326

In the past few years, Corona Virus Disease 2019 has become the most psychologically disturbing issue for Indonesian people since they first entered Indonesia in early 2020. After starting to subside in 2022, there is now a new issue, namely Mysterious Hepatitis, a frightening specter for parents. This mysterious hepatitis attacks many children and causes death. Social media is a source of Big Data. Media such as Twitter have been used to collect and analyze user data for several different purposes. Data can be used to analyze people's opinions on specific topics and incidents by applying sentiment analysis. Certain helpful information can be extracted from the analyzed data. The purpose of this study is to explore public or netizen opinions regarding mysterious hepatitis via data from netizens' tweets on Twitter. The method used in this research is to collect tweets, then clean the tweets, and finally analyze the data that has been processed via RStudio. The results of this study provide information that the words that often appear are acute, child, case, and health. From bigrams, related words often appear acute hepatitis, mysterious hepatitis, acute mysterious, children, and covid 19. By analyzing the type of emotion using the NRC Word-Emotion Association Lexicon method, Twitter users also provide various emotions related to the #HepatitisMysterius issue, including eight positive emotional responses and six positive emotional responses. “Fear” was the most frequent emotion followed by “anticipation”, “trust”, “surprise”, “anger”, “disgust”, “sadness” and “joy”. From the results of this study, it also informs the advice to be careful with this mysterious hepatitis, because there is advice on being alert for hepatitis and taking care of your health

Supply chain strategy during the COVID-19 terms: sentiment analysis and knowledge discovery through text mining Muhammad Khahfi Zuhanda; Yuan Anisa; Desniarti Desniarti; Muhammad Hafiz; Anil Hakim Syofra; Rezzy Eko Caraka; Maengseok Noh
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 2: May 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i2.pp1120-1127

The coronavirus pandemic has affected not only health but also the economy. The use of big data in finding information can be used to gain profits that logistics companies can utilize to survive during the pandemic. This study conducted text-mining research on service consultant sites in the logistics sector. This study aims to present frequency diagrams, analyze sentiment using the National Research Council (NRC) lexicon, present bigrams, and seek knowledge about strategies to minimize shipping costs and maintain inventories of manufactured goods. The words "supply", "chain", and "COVID-19" are words that are used frequently throughout the article. The results of this study showed that the words that often appear from word excavation are the words "supply", "chain", "logistics", "kpis," and "inventory". Then emotion trust becomes an emotional word that often appears in articles. The words "Supply" and "pandemic" are the words that seem the most positive and negative words, respectively. The words "COVID-19", "safety stock", and "inventory management" are words that often appear together. The result of discovery knowledge is that logistics consultants offer emotions of trust and provide many insights on minimizing shipping costs and maintaining inventory during a pandemic.

Analysis of twitter user sentiment on the monkeypox virus issue using the nrc lexicon Muhammad Khahfi Zuhanda; Anil Hakim Syofra Syofra; Devy Mathelinea; Prana Ugiana Gio; Yuan Anisa Anisa; Nanda Novita
Jurnal Mantik Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3502

Monkeypox virus is closely related to variola (smallpox virus) and causes a smallpox-like disease. The increase in monkeypox cases has caused the general public to be involved in providing responses to seek and share information related to monkeypox on the internet, especially on social media platforms. This study aims to analyze a collection of 5000 tweets on August 5, 2022, for sentiment analysis using the NRC lexicon. Of the 5,000 tweets that have been extracted, it is obtained that the words that Twitter users often use are "health", "emergency", "public", "covid", and "declares". By using the classification using the NRC lexicon comparison, we found that the emotion type of fear was the most widely used emotion, which had a presentation of 19.73%, followed by anticipation emotion at 16.78%, sadness 14.77%, trust at 13.90%, anger 9.99%, shock 9.14%, disgust 8.12%, and happy 1288 7.90 %. The negative sentiment that often appears on Twitter is equal to 51.92%, and positive sentiment has a percentage of 48.08%. The negative sentiment words that appear most often are "emergency", "virus", "disease", "shit", and "risk". The positive sentiment words that appear most often are "public", "vaccine", "sex", "contact", and "united". The analytical method with the lexicon method is very well used in analyzing various emotions and sentiments on social media. %MCEPASTEBIN%

Pendampingan Pelatihan Guru-Guru Sekolah Dasar dalam Mempersiapkan Olimpiade di Sekolah Dasar (SD) Darussalam Rizka Fahruza Siregar; Muhammad Hafiz; Yuan Anisa; M. Khahfi Zuhanda; Desniarti D
Nanggroe: Jurnal Pengabdian Cendikia Vol 2, No 3 (2023): Juni
Publisher : Yayasan Daarul Huda Kruengmane

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

Kompetisi Sains Nasional (KSN) atau selama ini lebih dikenal dengan istilah Olimpiade Sains Nasional (OSN) adalah kompetisi dalam dalam berbagai bidang salah satunya adalah bidang Matematika. Salah satu permasalahan yang dihadapi mitra adalah dikarenakan mitra merupakan sekolah yang baru berdiri maka belum ada mengikuti kegiatan olimpiade dan guru-guru belum pernah dilatih dalam menghadapi siswa yang akan mengikuti olimpiade. Saat ini tingkatan kelas yang terbentuk sudah pada tingkatan kelas 4 dimana kompetisi olimpiade dapat diikuti pada siswa kelas 4. Metode dalam kegiatan pelatihan pendampingan olimpiade ini terdiri dari empat tahapan yaitu tahap peninjauan awal, tahap persiapan, tahap pelaksanaan dan tahap penyelesaian. Kegiatan pengabdian ini difokuskan kepada guru-guru yang akan membimbing siswa dalam mengikuti olimpiade kedepannya. Kegiatan PKM pelatihan pendampingan guru-guru dalam mempersiapkan olimpiade matematika pada tingkatan Sekolah Dasar dilaksanakan berdasarkan jadwal dan undangan yang telah ditentukan dan disepakati bersama antara tim pengabdi dan guru-guru mitra.

Pendampingan Pelatihan Guru-Guru Sekolah Dasar dalam Mempersiapkan Olimpiade di Sekolah Dasar (SD) Darussalam Rizka Fahruza Siregar; Muhammad Hafiz; Yuan Anisa; M. Khahfi Zuhanda; Desniarti D
Nanggroe: Jurnal Pengabdian Cendikia Vol 2, No 3 (2023): Juni
Publisher : Yayasan Daarul Huda Kruengmane

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

Kompetisi Sains Nasional (KSN) atau selama ini lebih dikenal dengan istilah Olimpiade Sains Nasional (OSN) adalah kompetisi dalam dalam berbagai bidang salah satunya adalah bidang Matematika. Salah satu permasalahan yang dihadapi mitra adalah dikarenakan mitra merupakan sekolah yang baru berdiri maka belum ada mengikuti kegiatan olimpiade dan guru-guru belum pernah dilatih dalam menghadapi siswa yang akan mengikuti olimpiade. Saat ini tingkatan kelas yang terbentuk sudah pada tingkatan kelas 4 dimana kompetisi olimpiade dapat diikuti pada siswa kelas 4. Metode dalam kegiatan pelatihan pendampingan olimpiade ini terdiri dari empat tahapan yaitu tahap peninjauan awal, tahap persiapan, tahap pelaksanaan dan tahap penyelesaian. Kegiatan pengabdian ini difokuskan kepada guru-guru yang akan membimbing siswa dalam mengikuti olimpiade kedepannya. Kegiatan PKM pelatihan pendampingan guru-guru dalam mempersiapkan olimpiade matematika pada tingkatan Sekolah Dasar dilaksanakan berdasarkan jadwal dan undangan yang telah ditentukan dan disepakati bersama antara tim pengabdi dan guru-guru mitra.

Decision Making System Using Fuzzy Mamdani in Detecting Cholestrol Disease Nanda Novita; Yuan Anisa; Muhammad Khahfi Zuhanda; Eliska Eliska; Yuri Widiantho
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2023): Articles Research Volume 8 Issue 1, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i1.12084

Cholestrol is a physical property of natural substances in the form of fat which is useful as an essential building material for the body for the synthesis of important substances such as cell membranes and insulation materials around nerve fibers. In addition, it is useful for sex hormones, kidney children and bile acids. High cholesterol levels or hypercholesterolemia in the blood triggers hypertension. This is because high cholesterol is the cause of blockages in peripheral blood vessels that reduce blood supply to the heart. Based on these studies, it shows that the influence of obesity (overweight) and blood pressure has a role in the risk of cholesterol disease. Based on the rule view, it can be seen that the cholesterol level is 210 or it can be said that it is in the alert category, it can be seen for blood pressure 100.6 and BMI 31.8.The fuzzy mamdani method is often also known as the min-max method. Where it uses min or minimum on the implication function and max or maximum on the composition between implication functions. In its application, the madani fuzzy method uses 4 stages, namely the formation of fuzzy sets, application of implication functions, rule composition, defuzzification. This research uses a simulation method of calculating cholesterol. This research analyzes using fuzzy mamdani and matlab software assistance.

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