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All Journal International Journal of Electrical and Computer Engineering Register: Jurnal Ilmiah Teknologi Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Mantik Penusa JIPN (Journal of Informatics Pelita Nusantara) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer ComTech: Computer, Mathematics and Engineering Applications Jurnal Mantik Jurnal Sains dan Teknologi TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) INFOKUM Journal of Computer Networks, Architecture and High Performance Computing International Journal of Basic and Applied Science Jurnal Media Informatika Journal Basic Science and Technology Jurnal Mandiri IT CEBONG Journal Journal of Computer Science and Research International Journal of Enterprise Modelling
Hengki Tamando Sihotang
Universitas Putra Abadi Langkat
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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IbM : Iptek bagi Masyarakat Kelompok Usaha Mikro Daur Ulang Sampah Plastik di Kelurahan Titi Rantai Kec. Medan Baru: Iptek bagi Masyarakat Kelompok Usaha Mikro Daur Ulang Sampah Plastik di Kelurahan Titi Rantai Kec. Medan Baru Hengki Tamando Sihotang; Paska Marto Hasugian; Bosker Sinaga
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 1 No. 2, Nopembe (2018): TRIDARMA: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.49 KB)

Abstract

Sampah plastik memberikan permasalahan tersendiri dalam bidang pengelolaan sampah. Sampah plastik dengan propertisnya sulit terurai di alam dan membutuhkan waktu yang sangat lama. Dalam perkembangannya saat ini sampah plastik banyak ditimbulkan oleh aktivitas dan konsumsi manusia sejalan dengan fungsi plastik yang banyak digunakan untuk menggantikan material lain seperti bahan organik dan logam sebagai bahan pengemas dan bahan produk-produk lain. Sampah plastik ini pada akhirnya menjadi permasalahan besar yang dihadapi di perkotaan termasuk kota Medan. Kelompok Usaha mikro Joyo Besi Tua dan Tekad Jaya adalah contoh kelompok usaha mikro yang bergerak pada bidang daur ulang sampah plastik dan penampungan sampah di Medan, Kelurahan Titi Rantai, dimana sampah plastik dan sampah lainnya dikumpulkan dan dapat ditingkatkan nilai jualnya dengan proses-proses daur ulang. Kegiatan ini bertujuan meningkatkan pengetahuan dan pendapatan, serta meningkatkan manajemen kelompok usaha mikro tersebut. Kegiatan ini dilakukan dengan mengadakan alat pencetak produk plastik yaitu alat Blow Molding Plastik, dan kegiatankegiatan pelatihan manajemen dan pembukuan serta pelatihan pengoperasian dan perawatan alat. Dengan alat blow molding plastik ini diharapkan bisa meningkatkan nilai jual sampah plastik dari kelompok usaha mikro tersebut. Target dan luaran yang diharapkan pada kegiatan Ipteks bagi Masyarakat ini adalah: (1). Terciptanya satu alat blow molding plastik, dimana alat blow molding plastik tersebut dapat menghasilkan produk plastik baru dengan bahan baku sampah plastik hasil dari penampungan sampah plastik tersebut, (2). Kelompok usaha mikro yang telah terlatih dalam mengoperasikan dan merawat alat blow molding plastik, dan (3). Kelompok usaha mikro yang telah terlatih tentang manajemen usaha dan pembukuan. Metode pelaksanaan kegiatan ini dilakukan dengan pelatihan manajemen dan pembukuan, perancangan dan pembuatan alat blow molding plastik yang meliputi observasi lapang, perancangan alat blow molding plastik, fabrikasi dan perakitan, pengujian alat blow molding plastik, pelatihan pengoperasian dan perawatan alat, monitoring dan evaluasi. Dengan kegiatan program pengabdian masyarakat ini, diperoleh hasil yang cukup baik yaitu dihasilkannya sebuah alat blow molding plastik yang diaplikasikan pada kelompok usaha mikro tersebut untuk meningkatkan nilai jual produk dan pendapatan kelompok usaha mikro, kelompok usaha mikro yang mendapatkan peningkatan kemampuan dalam hal manajemen usaha, pembukuan, pengoperasian dan perawatan alat blow molding plastik.
Sistem Pendukung Keputusan Penentuan Kesesuaian Lahan Tanaman Andaliman Dengan Metode Profile Matching Di Kecamatan Merdeka Kabupaten Karo Roma Sinta Simbolon; Hengki Tamando Sihotang
Jurnal Teknik Informatika C.I.T Medicom Vol 12 No 2 (2020): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol12.2020.31.pp64-71

Abstract

Andaliman is a commodity plant which has many benefits and high selling power. Andaliman plants are difficult to cultivate because of the difficulty of determining the suitability of land suitable for these plants and the absence of researchers who have conducted research on these plants. Therefore, a decision support system is needed that can assist in determining the suitability of andaliman plantations by using three criteria consisting of each sub-criteria, namely Soil Classification (which consists of soil Ph sub-criteria, soil type and humidity), Land conditions. (which consists of sub-criteria for altitude and light intensity), and climate (which consists of sub-criteria for air temperature and rainfall). A decision support system is a system which able to provide both problem-solving abilities and communication skills for semi-structured problems. This research system aims to design a system in determining the suitability of land for andaliman plants using the Profile Matching method, which is one of the methods in the DSS that uses the GAP weighting method. The programming language used in making the system is PHP with MySQL database. The results of the implementation of the system that have been made show that Jaranguda Village is the most suitable village for planting Andaliman plants.
Site Determination of Decision Support System Pelita Nusantara STMIK Campus Branch With the Electre Method Santiwati Sihotang; Hengki Tamando Sihotang
Jurnal Teknik Informatika C.I.T Medicom Vol 12 No 2 (2020): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol12.2020.33.pp56-63

Abstract

The problem that is often faced by the campus is ineffective in determining strategic locations. Failure to determine the location will be detrimental to the campus, resulting in the closure of the campus. To avoid this problem, analysis and appropriate methods are needed to assist in determining strategic campus locations. The Electre method is a decision-making method based on the Outranking concept that produces various alternatives to assist management in dealing with structured and unstructured problems, based on pairwise comparisons with alternatives that match the criteria and those that do not match the criteria will be eliminated. This method is needed as a Decision Support System (SPK) that can help the STMIK Pelita Nusantara campus, Medan in determining strategic campus locations. This study aims to apply the Electre method and build a Decision Support System for determining the location of the STMIK Pelita Nusantara branch campus. The method used in this study is the electre method to determine Population Density weighting, transportation access, location security, distance to other campuses, and high school / vocational school level education. Based on the analysis using the electro method, it is known that the strategic location of the campus branch can be used as an alternative, namely Medan Johor
Decision Support System for Selection of Thesis Advisors Supervisors Thesis Advisors according to the Field of Science Using the AHP Method Jelita Sari Simanungkalit; Hengki Tamando Sihotang
Journal of Intelligent Decision Support System (IDSS) Vol 3 No 4 (2020): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Thesis is a scientific work and a condition that must be taken in order to achieve a bachelor's degree. Thesis supervisors play an important role because they have the responsibility and ensure that students are able to compile the thesis properly so that it is ready for testing and quality. In higher education, a system is needed that can help and ease a job, especially in the selection of thesis supervisors. In selecting the thesis supervisor, it is still based on subjectivity, which causes the title submitted by students to not match the field of science of the thesis supervisor so that the lecturer appointed to guide the topic of the title submitted by students has a different field of expertise from the student's title. In this determination, there are sometimes less than optimal decisions where the appointed lecturer is not in accordance with the thesis topic proposed by the student. This system is made using the AHP method so that the programmed system can be carried out more effectively. AHP method is one of the methods used in decision support systems with the calculation process by comparing each criterion.
Student Graduation Value Analysis Based On External Factors With C4.5 Algorithm Fristi Riandari; Hengki Tamando Sihotang; Rohit Gautama; Sethu Ramen
Jurnal Mantik Vol. 6 No. 2 (2022): August: 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.v6i2.2784

Abstract

Data mining is the process of extracting data into information that has not previously been conveyed, with the right techniques the data mining process will provide optimal results. Data Mining is divided into several methods. Data classification is a process of finding the same properties in a set of objects in a database and classifying them into different classes according to the defined classification model. The purpose of classification is to find a model from the training set that distinguishes attributes into the appropriate category or class, the model is then used to classify attributes whose class has not been previously known. The classification technique is divided into several techniques, one of which is the Decision Tree. One of the existing approaches in the classification technique is the C4.5 algorithm. The C4.5 algorithm is an approach in data mining classification techniques that can predict students' final grades. The variables used in analyzing the passing grades will be classified based on their attributes. The C4.5 algorithm with the decision tree method can provide predictive rule information to describe the process associated with analyzing student passing grades. The characteristics of the classified data can be obtained clearly, both in the form of a decision tree structure and rules so that in the testing phase the RapidMiner software can help predict student passing grades. With the formation of rules that can become new information that can be used as a tool in analyzing student passing grades.
Asistensi Penulisan Artikel Ilmiah Pada Jurnal Terakreditasi SINTA Fristi Riandari; Hengki Tamando Sihotang; Paska Marto Hasugian; Vina Winda Sari
TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Vol. 5 No. 2 (2022): Nopember: Pengabdian Kepada Masyarakat (PkM)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Kegiatan asistensi ini bertujuan memberikan pelatihan dan pembimbingan bagi para tenaga pendidik seperti dosen, akademisi dan peneliti dalam menulis artikel ilmiah sehingga layak untuk dipublikasikan pada jurnal – jurnal Nasional terakreditasi Sinta. Program asistensi penulisan artikel ilmiah pada jurnal terakreditasi Sinta ini berkerjasama dengan Lembaga publikasi yaitu Institute of Computer Science (IOCS). Kegiatan ini mengundang pakar yang merupakan seorang guru besar dan juga merupakan reviewer jurnal Internasional bereputasi Q1 s.d Q3 yang memberikan penjelasan terkait struktur artikel jurnal ilmiah yaitu Prof. Dr. Herman Mawengkang. Narasumber selanjutnya yaitu Ibu Devy Mathelinea, BSC., M.Sc yang merupakan pakar pada dalam referensi manager dan yang terakhir yaitu Bapak Paska Marto Hasugian, M.Kom yang memberikan penjelasan tentang teknis publikasi ilmiah. Dengan adanya kegiatan ini diharapkan para akademisi khususnya para dosen pemula dapat mengetahui substansi dari sebuah karya ilmiah sehingga karya ilmiah yang dihasilkan layak untuk dipublikasikan pada jurnal – jurnal Nasional terakreditasi minimal Sinta 4 bahkan pada jurnal Internasional mengingat narasumber yang dihadirkan. Selain itu, dengan adanya kegiatan ini diharapkan para penulis maupun akademisi memiliki motivasi dan semangat untuk terus meningkatkan kualitas daripada karya ilmiah yang dihasilkan sehingga tidak hanya layak untuk dipublikasi pada jurnal Nasional Terakreditasi tetapi juga layak untuk dipublikasi pada jurnal – jurnal Internasional. Kegiatan ini diikuti oleh 110 peserta dari berbagai berbagai perguruan tinggi baik yang ada di Sumatera Utara dan diluar Sumatera Utara dan kegiatan berjalan selama 61 jam.
Centainty Factor Untuk Menentukan Skill Pada Anak Dengan 2020 43 Penerapan Sistem Pakar Hengki Tamando Sihotang; Dwiki Rivaldo Naidu; Harpingka Fitriai Br. Sibaran
Jurnal Media Informatika Vol. 2 No. 1 Desember (2020): Jurnal Media Informatika (JUMIN)
Publisher : Jurnal Media Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v2i1 Desember.193

Abstract

Kredit tanpa agunan menjadi pilihan masayrakat untuk melakukan peminjaman terhadapa perbankan yang menyediakan layanan tersebut. PT. BPR Diori Ganda adalah perusahaan perbankan swasta daerah yang melayani simpan pinjam dan kredit tanpa agunan bagi masyarakat. Pengajuan kredit tanpa agunan harus melalui tim kreditur untuk proses analisa atribut-atribut yang mempengaruhi klasifikasi nasabah agar kredit dapat disetujui, yang kemudian hasil analisa di serahkan ke komisaris untuk persetujuan kredit. Namun bagaimana jika yang mengajukan kredit pada hari yang sama dalam jumlah yang banyak, tentu hal ini akan membuat proses analisa dan persetujuan kredit akan membutuhkan waktu yang lama. Jika diilihat dari banyaknya kebutuan masyarakat untuk mengajukan kredit tanpa agunan maka dibutuhkan aplikasi klasifikasi, guna untuk mempermudah pekerjaan tim assessor dalam proses analisa atribut-atribut yang mempengaruhi klasifikasi nasabah. Untuk mengetahui klasifikasi nasabah yang mengajukan kredit tanpa agunan menggunakan data mining dengan algoritma K-Nearest Neighbor. Hasil dari penelitan ini adalah klasifikasi nasabah bermasalah atau tidak bermasalah intuk pengajuan kredit tanpa agunan.
Integration of stochastic and robust optimization techniques into DEA model for more accurate and reliable efficiency estimation Hengki Tamando Sihotang; Patricius Michaud Felix; Aisyah Alesha; Joan De Mathew
Jurnal Teknik Informatika C.I.T Medicom Vol 14 No 2 (2022): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol14.2022.229.pp1-4

Abstract

Efficiency assessment is vital to assessing decision-making units (DMUs) in numerous sectors. DEA is a prominent non-parametric efficiency assessment tool. Traditional DEA models assume deterministic inputs and outputs, ignoring real-world uncertainties and variability. To improve efficiency estimation, stochastic and robust optimization approaches can be integrated into DEA models. To improve efficiency estimation, we present a stochastic and robust optimization framework incorporating DEA. Probabilistic inputs and outputs allow stochastic optimization to account for uncertainty. The model can capture data variability and create stochastic DMU efficiency scores by adding probability distributions. For data uncertainties and outliers, the DEA model uses robust optimization. Robust optimization considers worst-case scenarios and minimizes extreme observations on efficiency estimation. This makes efficiency scores more resilient to data outliers and noise.  DEA models benefit from stochastic and resilient optimization. First, considering data uncertainties and fluctuations improves DMU efficiency representation. Second, eliminating outliers and extreme observations improves efficiency estimation. Third, efficiency scores help decision-makers make better, more informed choices. A case study in a specific industry shows the framework's efficacy. We compare classic and integrated stochastic-robust DEA model outcomes. The integrated model provides more accurate and dependable efficiency estimates, helping decision-makers understand DMU performance. DEA models with stochastic and resilient optimization increase efficiency estimation. By considering uncertainties and outliers, this paradigm helps decision-makers evaluate DMUs in many sectors more accurately and reliably.
A stochastic approach for evaluating production planning efficiency under uncertainty Mochamad Wahyudi; Hengki Tamando Sihotang; Syahril Efendi; Muhammad Zarlis; Herman Mawengkang; Desi Vinsensia
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5542-5549

Abstract

Planning production is an essential component of the decision-making process, which has a direct bearing on the effectiveness of production systems. This study’s objective is to investigate the efficiency performance of decision-making units (DMU) in relation to production planning issues. However, the production system in a manufacturing environment is frequently subject to uncertain situations, such as demand and labor, and this can have an effect not only on production but also on profit. The robust stochastic data envelopment analysis model was proposed in this study with maximizing the number of outputs as the objective function thus means of handling uncertainty in input and output in production planning problems. This model, which is based on stochastic data envelopment analysis and a method of robust optimization, was proposed with the intention of providing an efficient plan of production for each DMU of stage production. The model is applied to small and medium-sized businesses (SMEs), with inputs consisting of the cost of labor, the number of customers, and the quantity of raw materials, and the output consisting of profit and revenue. It has been demonstrated through implementation that the proposed model is both efficient and effective.
Quantum computing for production planning Fristi Riandari; Aisyah Alesha; Hengki Tamando Sihotang
International Journal of Enterprise Modelling Vol. 15 No. 3 (2021): Sep: Enterprise Modelling: Quantum computing
Publisher : International Enterprise Integration Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (467.321 KB) | DOI: 10.35335/emod.v15i3.50

Abstract

This research investigates the potential of quantum computing in production planning and addresses the limitations of conventional computing approaches. Traditional methods have been partially effective, but they struggle to solve complex optimization problems, accurately predict demand, and manage supply chains efficiently. The unique computational capabilities of quantum computing offer promising solutions to surmount these obstacles and revolutionize production planning processes. This study seeks to bridge the gap between quantum computing and production planning by analyzing the benefits, limitations, and challenges of its applicability in this field. It proposes customized algorithms and methodologies for leveraging quantum computation to enhance production planning efficiency, cost reduction, and decision-making processes. The research demonstrates the potential of quantum algorithms to minimize total production costs while appeasing demand and resource constraints through a numerical example and mathematical formulation. The results emphasize the advantages of quantum computing in terms of cost reduction, enhanced efficiency, and scalability. Comparisons with conventional methods illuminate the benefits and drawbacks of quantum computing in production planning. This research contributes to the development of novel strategies to improve production planning efficiency, lower costs, and enhance decision-making processes, allowing organizations to leverage quantum computing for optimized production operations
Co-Authors Achiriani, Tri Wahyuningtiyas Agustina Simangunsong Aisyah Alesha Aisyah Alesha Alrasyid, Wildan Anthoni Anggrawan Anthony Anggrawan Bambang Saras Yulistiawan Bosker Sinaga Budi Arif Dermawan Calvin Berkat Iman Hulu Chandra, Suherman Dadang Pyanto Delano, Aldrich Desi Vinsensia Dini Anggraini Dwiki Rivaldo Naidu Efendi, Syahril Elpridawati Purba Endang Mistaorina Laia Erwin Panggabean Fadiel Rahmad Hidayat Firmansyah Firmansyah Fransisco alexander Simbolon Fristi Riandari Guntur Syahputra Harapan Lumbantoruan Harapan Lumbantoruan Harpingka Fitria Br. Sibarani Harpingka Fitriai Br. Sibaran Hasugian , Paska Marto Herlina Zebua Herman Mawengkang Husain Husain Hutahaean, Harvei Desmon Jacob, Halburt Jane Irma Sari Jelita Sari Simanungkalit Jijon Raphita Sagala Joan De Mathew Jonhariono Sihotang Jonhariono Sihotang Judijanto, Loso Kouvelis Geovany Ortizan Laia, Endang Mistaorina Lemos, Sgarbossa Carlo Maria Santauli Siboro Martinus Ndruru Melda Agustina Nababan Michaud, Patrisius Mochamad Wahyudi Muhammad Rafli Muhammad Zarlis Mulianingtyas, RR Octanty Murni Marbun Normi Verawati Marbun Panjaitan, Firta Sari Patricius Michaud Felix Patrisia Teresa Marsoit Pilisman Buulolo Pujiastuti, Lise R. Mahdalena Simanjorang Rasenda, Rasenda Rifka Widyastuti, Rifka Ririn Pebrina Br. Marpaung Rizky A, Galih Prakoso Rizky, Galih Prakoso Rohit Gautama Roma Sinta Simbolon Rosulastri Purba Santiwati Sihotang Santoso, Heroe Sethu Ramen Sihotang , Jonhariono Sihotang, Jonhariono Sim, Lee Choi Simbolon, Agata Putri Handayani Simbolon, Roma Sinta Simbolon, Romasinta Siringoringo, Rimmar Siskawati Amri Sitio, Arjon Samuel Song , Jiang Lou Sri Devi Sulindawaty, Sulindawaty Tarisa Tarigan Teresa, Patrys Vina Winda Sari Vinsensia, Desi