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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Infotech Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Produktif : Jurnal Ilmiah Pendidikan Teknologi Informasi INTECOMS: Journal of Information Technology and Computer Science JUMANJI (Jurnal Masyarakat Informatika Unjani) Simtek : Jurnal Sistem Informasi dan Teknik Komputer Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Mantik INTI Nusa Mandiri JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurnal Abdimas ADPI Sosial Dan Humaniora TIERS Information Technology Journal Teknologika Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Bangkit Indonesia RISTEC : Research in Information Systems and Technology

Resmi, Mochzen Gito

STT Wastukancana

Author-ID : 1204213

Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Decision Support System Determination Of Contractemployees To Be Permanent Employees Using The Technique For Order Preference By Similarity To Ideal Solution (TOPSIS) Method Mochzen Gito
RISTEC : Research in Information Systems and Technology Vol 1, No 2 (2020): Vol 1 no 2 : RISTEC : Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

PT. Refratech Mandala Perkasa (RMP) is a refractory cement manufacturing company. This company also operates in the manufacture of refractory cement which is made for the repair of hot coatings, boilers, rotary kilns, incinerators, ovens and chemicals. In this company there are contract employees and permanent employees, contract employees are employees or workers whose tenure is limited by a certain time. according to the agreement within the company. While permanent employees are workers whose working period is approximately until they receive certain benefits according to the work agreement. The purpose of this research is how to design and build a decision support system that can assist in determining contract employees to become permanent employees. This study uses the Technique For Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The results of this study indicate that the determination of the ranking of prospective permanent employees can be obtained from the calculation of the TOPSIS method, where the results of prospective employees are based on predetermined administrative criteria. Prospective permanent employees who have the highest rank have the right to be surveyed first. The accuracy of the implementation of the TOPSIS method on the system plays a major role in the effectiveness and efficiency of the company's services to consumers compared to before the system was implemented. With the implementation of this DSS system, it can help companies to make it easier to make decisions to survey prospective permanent employees and optimize employee performance.PT. Refratech Mandala Perkasa (RMP) is a refractory cement manufacturing company. This company also operates in the manufacture of refractory cement which is made for the repair of hot coatings, boilers, rotary kilns, incinerators, ovens and chemicals. In this company there are contract employees and permanent employees, contract employees are employees or workers whose tenure is limited by a certain time. according to the agreement within the company. While permanent employees are workers whose working period is approximately until they receive certain benefits according to the work agreement. The purpose of this research is how to design and build a decision support system that can assist in determining contract employees to become permanent employees. This study uses the Technique For Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The results of this study indicate that the determination of the ranking of prospective permanent employees can be obtained from the calculation of the TOPSIS method, where the results of prospective employees are based on predetermined administrative criteria. Prospective permanent employees who have the highest rank have the right to be surveyed first. The accuracy of the implementation of the TOPSIS method on the system plays a major role in the effectiveness and efficiency of the company's services to consumers compared to before the system was implemented. With the implementation of this DSS system, it can help companies to make it easier to make decisions to survey prospective permanent employees and optimize employee performance.

Twitter User Sentiment Analysis Of TIX ID Applications Using Support Vector Machine Algorithm Asyfah Nabillah; Syariful Alam; Mochzen Gito Resmi
RISTEC : Research in Information Systems and Technology Vol 3, No 1 (2022): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

The cinema is a place to watch movies using the big screen. Various comments on the TIX ID application service can be used to reference the company's evaluation material in assessing the level of service quality that has been provided, so that later the TIX ID application can be used optimally by application users and the company, as for the purpose of this study to find out responses and find out the sentiment analysis stage on twitter social media using the vector machine support algorithm for the TIX ID application. This algorithm is commonly used for text mining by going through the data collection stage, cleaning and labelling data stage, training and testing data sharing stage with 3 comparison scenarios, namely 70:30, 80:20, and 90:10 using 3 kernels, namely dot, radial, and polynomial, then through the text preprocessing stage, the TF-IDF word weighting stage, the data modeling stage, and the evaluation stage. The preprocessing stage consists of transform case, tokenize, and stopwords filters. The result of this study is that the support vector machine algorithm has an accuracy value of 74.17%. The research concludes that the support vector machine algorithm with a ratio of 80:20 training and testing data ratio scenario produces the highest accuracy.

DECISION SUPPORT SYSTEM FOR SELECTION OF HOME OWNERSHIP LOANS (KPR) USING THE SMART METHOD Candra Dewi Lestari; Mochzen Gito Resmi; Yudhi Raymond Ramadhan
RISTEC : Research in Information Systems and Technology Vol 3, No 2 (2022): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/ristec.v3i2.2746

The bank is a financial institution that has many activities, one of which is to serve housing loan (KPR) activities. As the human population increases, primary needs such as housing also increase. The existence of a Developer who will provide Home Ownership Loans is also needed for prospective buyers. With various offers, potential home buyers are difficult to make a decision. Therefore the authors through the Decision Support System (SPK) and the design of the Home Ownership Loan system provide a solution for prospective buyers in choosing the best mortgage with a Decision Support System using the SMART method. The SMART method is a multi-criteria decision-making technique based on the theory that each alternative consists of a number of criteria that have values and each criterion has a weight that describes how important it is compared to other criteria

Implementation of the Multy Attribte Utily Theory Method in the Decision Support System for Determining Smart Indonesia Program Assistance (PIP) at SDN 4 Cisalada Fitry Nur Yani; Mochzen Gito Resmi; Syariful Alam
RISTEC : Research in Information Systems and Technology Vol 3, No 1 (2022): Research in Information Systems and Technology
Publisher : Institut Pendidikan Indonesia

The Smart Indonesia Program (PIP) is one of the government's programs as Poor Student Assistance (BSM). The government program is in the form of cash assistance given to children aged 6-21 years who are still in the world of education. Currently, pip selection at SDN 4 Cisalada from the school is less targeted to have problems in determining potential beneficiaries of assistance where not all students who come from poor families can receive the Smart Indonesia Program (PIP). for this resulting in the injustice of students who should be entitled to PIP funding assistance. To avoid existing problems for the selection of prospective recipients of the Smart Indonesia Program (PIP) requires a Decision Support System (SPK). The Multi Attribute Utility Theory (MAUT) method is a quantitative comparison method that usually combines measurements of different risk and profit costs. Design and Build using the Waterfall method in the process of working on it, the design is made using a flowmap and modeling using Unified Model Language (UML) including Use Case Diagrams, Activity Diagrams, Sequence Diagrams and Class Diagrams. As for programming, it uses PHP and the database uses MySQL. The results of the research that has been carried out by the researcher, it can be concluded by the application of the Decision Support System in determining the determination of PIP assistance in schools using the Multy Attribute Utility Theory (MAUT) method, for the school can be more objective in assessing the determination of PIP recipients, so as to minimize the risk of misuse and distribution of PIP funds to students not appropriately receiving them. Which is in the nature of providing recommendations for decisions to the school.

SISTEM PAKAR DIAGNOSA PENYAKIT PADA DOMBA DENGAN MENGGUNAKAN METODE FUZZY MAMDANI Cucu Kardila; Muhammad Rafi Muttaqin; Mochzen Gito Resmi
INTI Nusa Mandiri Vol 18 No 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4314

Abstract—The decreasing sheep population has raised serious concerns regarding its impact on both the livestock industry and export opportunities. One of the main factors contributing to this decline is the prevalence of diseases among sheep. These illnesses present a significant problem as they can lead to reduced meat production, animal fatalities, and economic losses. The limited knowledge among farmers regarding these diseases and sheep care makes it challenging to diagnose and treat the conditions effectively. To address this issue and aid farmers in easily diagnosing diseases, a web-based expert system utilizing the fuzzy Mamdani method was developed. The selection of the fuzzy Mamdani method was based on its ability to handle uncertainty in disease diagnosis, providing reasonably accurate results by evaluating symptoms, determining disease severity, and recommending appropriate treatments. Through the fuzzy Mamdani method and the web-based platform, this system offers convenient access for farmers to diagnose diseases in their sheep online. According to the analysis results, reproductive health disorders are the primary cause of the decline in the sheep population. Consequently, the expert system for diagnosing sheep diseases serves as an alternative for early prevention and suitable treatment. System testing indicates an accuracy rate of 80%, signifying the system's capability to provide reasonably accurate diagnoses. The main goal of this research is to support the livestock and fisheries department in Purwakarta in diagnosing sheep diseases, preventing epidemic outbreaks, and implementing proper measures to mitigate the negative impacts on the livestock industry while promoting sustainable growth of the sheep population

Decision Support System for Extreme Poverty BLT Recipients Combining the ROC and WASPAS Methods Derry Asari Nuryadi; Mochzen Gito Resmi; Chandra Dewi Lestari
TIERS Information Technology Journal Vol. 4 No. 1 (2023)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v4i1.4477

The Covid-19 pandemic has begun to be under control and the basis for the Village Fund BLT distribution has been adjusted. BLT Dana Desa aims to increase the income of extremely poor families in the village. In determining and determining prospective Beneficiary Families (KPM), each village will be guided by the data for the Acceleration of Extreme Poverty Elimination (PPKE) provided by the central government through the local government which will later be verified by the village government. Therefore, a Decision Support System is needed to find out who really deserves assistance, so that the allocation can be right on target according to predetermined criteria. In this study the results of this study show that the proposed model can be used well in conducting the selection process for laboratory assistant admissions. In this research, the use of ROC is able to provide appropriate criteria weights based on the level of importance of the criteria from the decision maker. Meanwhile, the use of the WASPAS method is able to produce decisions in the form of the best alternatives that can be used to help decision makers. From the calculation process that has been done, it can be concluded that Sunardi got the highest score, namely 0.7276 and Muksin got the lowest score, namely 0.5491. The existence of this system can make it easier for the government, especially villages, to identify beneficiaries and minimize errors in selecting beneficiaries.

PENGUJIAN USABILITY DENGAN MENGGUNAKAN METODE COGNITIVE WALKTHROUGH (CW) DAN SYSTEM USABILITY SCALE (SUS) TERHADAP APLIKASI MyYOGYA Siti Shintia; Mochzen Gito Resmi; Moch Hafid T
Simtek : jurnal sistem informasi dan teknik komputer Vol. 8 No. 2 (2023): Oktober 2023
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v8i2.285

YOGYA Group memiliki media informasi berupa aplikasi MyYOGYA, Aplikasi MyYOGYA perlu memperhatikan aspek usability untuk mengetahui aplikasi dapat berjalan dengan baik sesuai yang diharapkan. MyYOGYA masih memiliki beberapa masalah seperti aktivasi akun harus dilakukan di kasir, penyebaran phamphlet promo yang masih menggunakan kertas dan memerlukan waktu yang cukup lama pada saat akan menggunakan aplikasi. Metode Cognitive walkthrough dapat memprediksi seberapa mudah tugas yang diberikan elevator untuk dimengerti oleh pengguna dalam menggunakan aplikasi. Sedangkan metode System usability scale digunakan karena dapat mengukur akngka usability dengan cepat dan mudah dengan jumlah responden atau sampel yang sedikit. Penelitian ini menunjukkan hasil evaluasi terhadap aplikasi MyYOGYA, evaluasi yang didapatkan dari metode Cognitive walkthrough yaitu rata-rata completion rate sebesar 94% responden yang berhasil menyelesaikan skenario tugas dan berdasarkan hasil time base didapatkan nilai rata-rata jumlah waktu yang dibutuhkan responden sebesar 5,155 detik. Sedangkan hasil dari metode System usability scale yaitu 61,113 yang menunjukkan aplikasi MyYOGYA dinyatakan Acceptable dengan masuk ke dalam grade D dan rating GOOD. Dari hasil perhitungan tersebut dapat disimpulkan bahwa aplikasi MyYOGYA dapat dijadikan alat bantu informasi seputar YOGYA dalam aplikasi MyYOGYA.

Product Recommendation System Application Using Web-Based Equivalence Class Transformation (Eclat) algorithm Gito Resmi, Mochzen; Hermanto, Teguh Iman; Ghozali, Miftah Al
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11454

The use of saved transaction data can provide a lot of knowledge that useful to the company in making policy and find the strategy in Alfamidi. In applying that goal, that is using Market Business Analysis. One of the techniques of Data Mining is Association Rule, which is the procedure of Market Basket Analysis to find the customer buying patterns. This pattern can be one of the ways in making policy and business strategy. One pattern determined by two parameters, they are support (support value) and confidence (certainly value). This analysis used algorithm Equivalence Class Transformation (ECLAT). One of the patterns resulted from analysis to the 30 transaction data with 12 category items. As an instance, if we buy strawberry jam then buy essence of bread with confidence value = 1%. The results obtained an also be used in helping the Alfamidi to help in determine the inventory decisions. So, the conclusion may be taken if consumers could buy strawberry jam then bought essence of bread simultaneously, then the Alfamidi should at least maintain the availability stock of both these items in order to remain the same.

A DESIGN UI/UX E-LEARNING ENGLISH MOBILE USING USER CENTERED DESIGN (UCD) METHOD: English Alamsyah, Dwi Rizky; Resmi, Mochzen Gito; jaelani, Irsan
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.12727

E-learning English Mobile application design is a Mobile-based application design needed by SMAN 2 Purwakarta for future learning purposes. With this application design SMAN 2 Purwakarta has a picture of learning applications that will facilitate students and teachers in learning and teaching activities. In this application design research, there are several methods that are widely used by previous researchers. One of the methods used in this research is the User Centered Design (UCD) method which is a new method in system development. UCD is a language that is widely applied in describing designs. The concept of UCD is the user as the center of the system development process, and the goals, the system environment are all based on the user experience. The results of this study produced a learning application prototype, namely E-learning English Mobile. After testing using the System Usability Scale (SUS). The average value obtained is 78. It can be concluded that the design of the E-Learning English Mobile application is acceptable because it meets the Acceptable category

PENERAPAN METODE DESIGN THINKING PADA PERANCANGAN USER INTERFACE APLIKASI MOBILE PENGENALAN BAHASA ISYARAT INDONESIA (BISINDO) Nurul Azizah, Elma; Gito Resmi, Mochzen; Alam, Syariful
Jurnal Mnemonic Vol 6 No 1 (2023): Mnemonic Vol. 6 No. 1
Publisher : Teknik Informatika, Institut Teknologi Nasional malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/mnemonic.v6i1.5711

Hak teman tuli yang masih sulit didapatkan adalah hidup mandiri serta terlibat dalam masyarakat,maka diperlukan kesadaran juga kemampuan masyarakat untuk berkomunikasi dengan menggunakan bahasa isyarat. Dengan pekembangan teknologi terutama aplikasi mobile pembelajaran bahasa isyarat dapat dilakukan dimana saja dan kapan saja juga oleh siapa saja.Faktor penting dari aplikasi mobile adalah user interface,karena aplikasi mobile harus memiliki unsur kenyaman dan kemudahan pada saat dioperasikan oleh pengguna. Metode design thinking digunakan dalam penelitian ini, metode ini diketahui sebagai satu cara berpikir mendalam untuk mewujudkan pemecahan masalah, diawali oleh tahap empati pada suatu permasalahan yang berfokus pada manusia (human centered) menghasilkan terobosan yang berkesinambungan dan didasari oleh permasalahan pengguna, dalam metode ini terdapat lima tahap yaitu Empathize,Define,Ideate,Prototype dan Test.Untuk melakukan pengujian atau test peneliti melakukan pengujian dengan metode system usability scale. Penelitian ini menghasilkan suatu prototype aplikasi mobile pengenalan bahasa isyarat indonesia (BISINDO) bernama "i can hear you" . Berdasarkan pengujian Prototype menggunakan metode System Usability Scale (SUS) . Rata-rata nilai sus yang didapatkan sebesar 80,045, maka dapat disimpulkan bahwa aplikasi pengenalan bahasa isyarat Indonesia (BISINDO) “I can hear you” memenuhi kategori acceptable.

Co-Authors Agus Prastian Agus Sunandar , Muhamad Agus Sunandar, Muhamad Alamsyah, Dwi Rizky Amin Fauzi, Miftah Annisa Anggraeny Asyfah Nabillah Ayunitasari, Fina Candra Dewi Lestari Candra Dewi Lestari Chandra Dewi Lestari Chandra Irawan , Dionisius Cucu Kardila Dadi Iskandar Dede Irmayanti Deden Sukma Hendrawan Defriani, Meriska Derry Asari Nuryadi Dewi Lestari, Candra Dira Nabila Zahra Fauzi, Ibnu Fiki Febianti Putri, Elga Fitriyanti, Lia Fitry Nur Yani Ghozali, Miftah Al Hafid, Moch. Herdian Mulyana, Iipandi Hermanto, Teguh Iman Imam Ma'ruf Nugroho Imam Ma’ruf Nugroho Indana Zulfa Nazmu Fadhilah Irsan Jaelani Ismi Kaniawulan, Ismi Jaelani, Irsan Khasanah, Afifa Nur Kurnia Widi, Wanda Lipandi Herdian Mulyana M. Agus Sunandar Masripah, Nunung Mayang Mentari, Adinda Ma’ruf Nugroho, Imam Meriska Defriani Meriska Defriani Meriska Defriani Moch Hafid T Moch Taufik Muhamad Rafi Muttaqin Muhammad Husni Tamyiz, Uus Muhammad Rafi Muttaqin Muhammad Rafi Muttaqin Nabillah, Asyfah Neng Leni Ratnasari Nunung Masripah Nur Anggraeni, Cindy Nur Yani, Fitry Nurul Azizah, Elma Nurul Hasanah Oki Fernanda Permana, Okta Amien Rafi Muttaqin, Muhammad Ramadhan, Yudhi Raymond Raymond Ramadhan, Yudhi Rizqullah, Naufal Siti Shintia Sri Andar Muni, Lise Syariful Alam Syariful Alam Uus Muhammad Husni Tamyiz Uus Muhammad Husni Tamyiz Yoga Setia Putra Zulpria Awaludin, Syahril

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