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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) Jurnal TIMES Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Mantik Indonesian Journal of Electrical Engineering and Computer Science Ihsan: Jurnal Pengabdian Masyarakat International Journal of Engineering, Science and Information Technology Educational Building: Jurnal Pendidikan Teknik Bangunan dan Sipil Prioritas : Jurnal Pengabdian Kepada Masyarakat Nanggroe: Journal Of Scholarly Service Nanggroe: Journal of Scholarly Service
Muhammad Khahfi Zuhanda
Universitas Medan Area
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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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

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (682.395 KB) | DOI: 10.24114/eb.v3i2.8261

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.
Potential microgrid model based on hybrid photovoltaic/wind turbine/generator in the coastal area of North Sumatra Habib Satria; Rahmad Syah; Dadan Ramdan; Muhammad Khahfi Zuhanda; Jaka Windarta; Syafii Syafii; Almoataz Youssef Abdelaziz
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 2: May 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i2.pp768-776

Abstract

The high potential for renewable energy in the North Sumatra region, especially the coast of the Belawan area, needs to be exploited properly. The design that will be carried out is to explore the potential in coastal areas by simulating microgrid systems and hybrid system-based electricity installations. The method that will be used is to find the accuracy of strategic location points by considering the panel surface temperature which will later influence the power output of the power plant. Then find the ideal installation location as a reliable system when irregular climate conditions occur, of course this phenomenon will have a significant effect on energy balance and energy conversion, especially in coastal areas. The potential for installation construction will be carried out with a hybrid system using power sources from photovoltaics, wind turbines and diesel generators assisted by HOMER Pro software. The results of testing with simulations and information data that have been recorded in the software can later be used as a benchmark in planning electrical installations and also for identifying microgrid protection challenges. Then the measurement results that have been obtained for the installation of a hybrid-based microgrid system on Photovoltaic (PV) are DC output power of 618.80 W with measurements of sunny weather conditions, then the potential wind speed on the wind turbine reaches 5 m/s and the potential use of a diesel generator reaches 40% with power output capacity 1 kW.
Pelatihan Pemanfaatan Gemini AI untuk Mendukung Pembelajaran pada SMA di Sumatera Utara Sukiman Sukiman; Hendry Hendry; Muhammad Khahfi Zuhanda; Fenny Fenny; Sjukun Sjukun
Prioritas: Jurnal Pengabdian Kepada Masyarakat Vol 6 No 01 (2024): EDISI MARET 2024
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/prioritas.v6i01.927

Abstract

Pada saat ini ditengah perkembangan teknologi informasi dan komunikasi yang pesat maka setiap individu diharapkan memiliki kemampuan untuk berpikir secara kritis dan sanggup merespon perkembangan zaman. Di sinilah peran teknologi, khususnya kecerdasan buatan (AI), menjadi penting dalam mendukung proses pembelajaran dan meningkatkan daya kritis siswa. Salah satu AI yang populer adalah Gemini AI. Model AI ini dikembangkan oleh Google. Gemini AI dapat memfasilitasi pembelajaran kolaboratif dan diskusi antara siswa. Platform ini memungkinkan siswa untuk bekerja sama dalam proyek, bertukar ide, dan saling memberikan umpan balik. Hal ini dapat meningkatkan kemampuan komunikasi, kerja sama tim, dan toleransi antar budaya. Kegiatan PKM ini dilaksanakan secara luring oleh Tim PKM untuk siswa SMA di Sumatera Utara. Hasil evaluasi post test menunjukkan adanya peningkatan pemahaman siswa terhadap pemanfataan Gemini AI. Selain itu juga respon siswa selama kegiatan PKM juga positif dan tim PKM berharap agar kegiatan ini dapat memberikan manfaat terhadap peningkatan kualitas pembelajaran pada SMA di Sumatera Utara.
Pelatihan Marketing Kreatif Di SMA Harapan Medan Muhammad Khahfi Zuhanda; Siti Alhamra Salqaura; Finta Aramita; Wily Julitawaty; Henry Jirwanto
Prioritas: Jurnal Pengabdian Kepada Masyarakat Vol 6 No 01 (2024): EDISI MARET 2024
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/prioritas.v6i01.928

Abstract

Era Revolusi Industri 4.0 membawa perubahan signifikan dalam berbagai aspek kehidupan, termasuk dalam bidang pendidikan. Pendidikan 4.0 merupakan konsep yang menekankan pada pemanfaatan teknologi digital dan internet dalam proses belajar mengajar untuk menghasilkan lulusan yang siap menghadapi tantangan di masa depan. Konsep ini juga menekankan pentingnya keterampilan abad 21 seperti berpikir kritis, kreativitas, kolaborasi, dan komunikasi. SMA Harapan Medan sebagai institusi pendidikan yang berkomitmen untuk mempersiapkan generasi muda yang unggul, memahami pentingnya adaptasi terhadap perubahan ini. Marketing kreatif dalam konteks pendidikan bertujuan untuk membuat proses belajar menjadi lebih menarik dan relevan bagi siswa, sehingga dapat meningkatkan motivasi dan partisipasi mereka. Pendekatan ini melibatkan penggunaan media digital, platform pembelajaran online, serta kampanye kreatif yang dapat menumbuhkan minat dan semangat belajar di kalangan siswa. Melalui program PKM ini, diharapkan para siswa dapat memahami konsep dasar digital marketing, mampu mengelola media sosial secara efektif, dan memiliki kemampuan untuk merancang kampanye promosi digital yang berhasil. Dengan demikian, para siswa akan memiliki keunggulan kompetitif ketika mereka memasuki dunia kerja atau memilih untuk menjadi pengusaha mandiri. Program ini bertujuan untuk memberikan pengetahuan dan keterampilan digital marketing kepada siswa SMA Harapan Medan agar mereka dapat memahami dan mengaplikasikan konsep tersebut dalam meningkatkan promosi dan pemasaran produk atau jasa di masa mendatang.
Co-Authors Almoataz Youssef Abdelaziz Anil Hakim Syofra Anil Hakim Syofra Syofra Aramita, Finta Asmah Indrawati, Asmah Dadan Ramdan Dahlan Abdullah Dayana, Indri Desniarti D Desniarti Desniarti Devy Mathelinea Eliska, Eliska Erianto Ongko Fenny Fenny Finta Aramita Ginting, Manan Gio, Prana Ugiana Habib Satria Hartono Hartono Hartono Hartono Hasibuan, Samsul A Rahman Sidik Hendry Hendry Henry Jirwanto Hutagalung, Manahan Jaka Windarta Kelvin Leonardi Kohsasih Kurnia, Dian Maengseok Noh Mardingsih Mardingsih Muhammad Hafiz Muhammad Hafiz Nanda Novita Nanda Novita, Nanda Noviandri, Dian Opim Salim Sitompul Pieter Octaviandy, Pieter Prana Ugiana Gio Rahmad B.Y Syah Rahmad Syah, Rahmad Rahman, Sayuti Rezzy Eko Caraka Rizka Fahruza Siregar Rudi Salam Saib Suwilo Salqaura, Siti Alhamra Samsul A Rahman Sidik Hasibuan Sembiring, Arnes Sjukun Sukiman Sukiman suswati suswati Syafii . Syah, Rahmad B. Y. Tarigan, Nurliana Tino Hermanto Widiantho, Yuri Wily Julitawaty Yuan Anisa Yuan Anisa Yuan Anisa Yuan Anisa Anisa