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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Indonesian Journal on Software Engineering (IJSE) EDUMATIC: Jurnal Pendidikan Informatika INTI Nusa Mandiri KLIK: Kajian Ilmiah Informatika dan Komputer Indonesian Journal of Networking and Security - IJNS Hexatech: Jurnal Ilmiah Teknik Jurnal Pendidikan Indonesia (Japendi)
Dinar Ismunandar
Universitas Bina Sarana Informatika, Jakarta
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Transportation

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Analisa Rancang Bangun Sistem Informasi Penerimaan Kas Terhadap Toko Serba Guna Mebel Hidayatulloh, Taufik; Syabaniah, Rifa Nurafifah; Marsusanti, Eva; Dewi, Lisnawati; Ismunandar, Dinar
Swabumi Vol 7, No 2 (2019): Volume 7 Nomor 2 Tahun 2019
Publisher : Universitas Bina Sarana Informatika Kota Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/swabumi.v7i2.6589

Abstract

This research was conducted by analyzing three variables, this research variable consisted of three types of variables including; independent variables (information system design), furniture shop dependent variables and moderator variables (cash receipts). The purpose of this study was to find out the effect of the design of the design of the cash receipt information system on the Sukabumi district furniture store. The research discussion focused on three variables and was processed using a questionnaire microsoft excel application and Spss 20 that was shared with employees of a furniture store. Based on the results of the questionnaire analysis, it was found that there was an influence on the design of the cash receipt information system for the Sukabumi district furniture store in terms of the cash receipt process that was made for the problems that occurred in the furniture store, evidenced by testing validity tests using Microsoft Excel with results Pearson correlation> 0.5 and reliability test> 0.6 using SPSS 20. The future expectation of the research is to proceed with analysis of variable testing and program implementation.
Penerapan Finite State Automata Pada Vending Machine Susu Kambing Etawa Handayani, Kartika; Ismunandar, Dinar; Putri, Sukmawati Anggraeni; Gata, Windu
MATICS Vol 12, No 2 (2020): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v12i2.9270

Abstract

Susu kambing peranakan etawa merupakan susu bergizi tinggi yang memiliki banyak manfaat untuk tubuh manusia. Persebaran produk susu kambing etawa saat ini hanya sebatas penjualan di kendai atau market place sehingga manfaatnya belum merata dirasakan oleh masyarakat.Oleh karena itu, dirancang Vending Machine (VM) untuk penjualan susu kambing etawa untuk persebaran produk susu kambing etawa varian rasa menggunakan Finite State Automata (FSA)  jenis Non-Deterministic Finite Automata (NFA). FSA digunakan untuk menggambarkan alur logika VM susu kambing etawa ini. FSA merupakan mesin abstrak berupa sistem model matematika dengan masukan dan keluaran diskrit terdiri dari string dan label dengan output terdiri dari 0s dan 1s yang dapat mengenali bahasa paling sederhana (bahasa reguler) yang menangkap  pola dalam data dan dapat diimplementasikan secara nyata sehingga dapat dipahami oleh logika manusia. Dalam VM susu kambing etawa menggunakan FSA dilengkapi dengan dua metode pembayaran yaitu menggunakan uang tunai dan menggunakan e-money. Perancangan VM susu kambing etawa menggunakan FSA diharapkan dapat dikembangkan sehingga manfaat dari produk susu kambing etawa dapat dinikmati oleh masyarakat luas, khususnya masyarakat perkotaan.
Desain Game Edukasi Ilmu Tajwid Bagi Anak Usia Dini menggunakan Pemodelan Finite State Automata Yanto Yanto; Dinar Ismunandar; Erni Erni; Santoso Setiawan; Muhammad Ifan Rifani Ihsan
Jurnal Pendidikan Informatika (EDUMATIC) Vol 5, No 1 (2021): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v5i1.3317

Abstract

This study discusses how Finite State Automata (FSA) can be used as a model to design a Tajweed Science game application as a business diagram. This study aims to facilitate early childhood in learning the science of recitation by grouping hijaiyah letters into grouping the science of recitation by using a touch of the hand. The type of automata theory used is a non-deterministic finite automata with epsilon transition (E) or better known as E-NFA. Each transition, input, state that exists from the NFA, is basically to show the characteristics or states that occur in a game application. The importance of this research, in addition to learning recitation from an early age, is to show that automata theory can be used to help design a system in making game applications. The results of this Tajweed Science game application design are a rough display because there will still be further development stages and can ensure that game applications can be built from E-NFA modeling.
Penggunaan Model UTAUT2 Untuk Memahami Persepsi Pengguna Aplikasi G-Meet Eka Herdit Juningsih; Faruq Aziz; Dinar Ismunandar; Fajar Sarasati; Irmawati Irmawati; Yanto Yanto
Indonesian Journal on Software Engineering (IJSE) Vol 6, No 2 (2020): IJSE 2020
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijse.v6i2.10075

Abstract

Abstrak: Di era pandemi saat ini proses belajar mengajar dilakukan secara online dengan memanfaatkan aplikasi virtual, salah satunya yaitu G-Meet. Untuk memahami presepsi pengguna aplikasi G-Meet dalam penelitian ini menggunakan model UTAUT2. UTAUT2 merupakan  pengembangan dari model UTAUT yang dilakukan oleh Venkates. Variabel yang ada pada UTAUT2 ini ialah ekspektasi kinerja, ekspektasi usaha, pengaruh sosial, kondisi fasilitas,  motivasi hedonis, nilai harga, dan   kebiasaan. Dari data yang dihasilkan terdapat 125 responden yang telah mengisi kuesioner dengan pertanyaan yang diajukan sebanyak 27 pertanyaan. Populasi dari penelitian ini adalah mahasiswa STIMIK Nusa Mandiri Jakarta. Dan untuk sampel yang ditentukan yaitu sebanyak 125 responden  dari jumlah responden yang telah mengisi kuesioner. Dalam mengolah data penelitian pada penelitian ini menggunakan smartPLS 3, untuk mengetahui tingkat kevalidan dan kereabilitasan akan suatu data yang diperoleh. Hasil dari penelitian ini menujukkan bahwa dari delapan hipotesis yang diusulkan tiga hipotesis dinyatakan tidak signifikan karena pada nilai t-statistic kurang dari 1,96 dan untuk lima hipotesis lain dapat diterima.               Kata kunci: UTAUT2, G-Meet, Pembelajaran Daring Abstract: In the current pandemic era, the teaching and learning process is carried out online by utilizing virtual applications, one of which is G-Meet. To understand the perceptions of users of the G-Meet application in this study using the UTAUT2 model. UTAUT2 is a development of the UTAUT model carried out by Venkates. The variables in UTAUT2 are performance expectations, business expectations, social influences, facility conditions, hedonic motivation, price values, and habits. From the resulting data, there are 125 respondents who have filled out a questionnaire with 27 questions. The population of this study were students of STIMIK Nusa Mandiri Jakarta. And for the specified sample, as many as 125 respondents from the number of respondents who have filled out the questionnaire. In processing research data in this study using SmartPLS 3, to determine the level of validity and reliability of the data obtained. The results of this study indicate that of the eight proposed hypotheses, three hypotheses are declared insignificant because the t-statistic value is less than 1.96 and the other five hypotheses can be accepted. Keywords: UTAUT2, G-Meet, Online Learning
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DUTA LAYANAN PADA PELAYANAN UANG TUNAI MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS Eka Herdit Juningsih; Dinar Ismunandar; Yanto Yanto
Jurnal Pendidikan Indonesia Vol. 4 No. 8 (2023): Jurnal Pendidikan Indonesia (Japendi)
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v4i8.2167

Abstract

Seiring dengan perkembangan jaman, perusahaan dituntut untuk bisa bersaing dengan perusahaan lainnya. Faktor terpenting dalam jalannya suatu organisasi atau perusahaan salah satunya merupakan Sumber Daya Manusia (SDM). Dalam penentuan Duta Layanan Teller terdapat beberapa faktor yang menjadi penilaian. Penilaian ini berdasarkan penilaian kinerja teller, yakni Ketelitian, Kecepatan, Tangung Jawab, Keramahan, Inisiatif. Demi efisiensi dan efektifitas kerja maka pengambilan keputusan yang tepat sangat diperlukan dengan tujuan untuk membangun dan memberikan alternatif sebuah sistem pendukung keputusan yang mempunyai kemampuan analisa pemilihan Duta Layanan Teller dengan menggunkan metode Analitycal Hierarchy Process (AHP), dimana masing-masing kriteria dalam hal ini dibandingkan satu dengan yang lain sehingga memberikan hasil duta layanan teller. Hal ini berguna untuk memudahkan pengambilan keputusan yang terkait dengan masalah pemilihan duta layanan teller sehingga akan didapatkan duta layanan teller yang layak untuk diberi penghargaan. Consistency Ratio Hierarchy/CRH < 10% yaitu 0.0453 atau 4.53% Duta Layanan Teller di Bank BNI Cabang Harmoni adalah Putri.
Rancang Bangun Perpustakaan Kelurahan Online Berbasis Website Dinar Ismunandar; Ahmad Fachrurozi
Indonesian Journal of Networking and Security (IJNS) Vol 12, No 1 (2023): IJNS Maret 2023
Publisher : APMMI - Asosiasi Profesi Multimedia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55181/ijns.v12i1.1823

Abstract

Abstrak – Perkembangan ilmu pengetahuan dan teknologi informasi yang di sertai perubahan dari berbagai aspek kehidupan menuntut terciptanya masyarakat yang gemar membaca. Perpustakaan salah satu organisasi publik yang memiliki peranan strategis untuk turut mendukung mencerdaskan kehidupan suatu bangsa. Perpustakaan kelurahan Cisarua kota Sukabumi merupakan perpustakaan milik pemerintah yang berfungsi sebagai sarana masyarakat sekitar dalam hal mencari suatu informasi dan melakukan kegiatan yang berkaitan dengan pembelajaran salah satunya yaitu membaca. Masalah yang terjadi pada sistem yang sedang berjalan saat ini yaitu untuk proses pengelolaan data buku, peminjaman, pengembalian, serta pengelolaan data anggota perpustakaan sampai pembuatan laporan yang masih konvensional dan terbilang kurang efektif yang menyebabkan proses tersebut menjadi terhambat dan menyebabkan kesalahan. Dalam laporan ini, penulis melakukan pembaharuan terhadap sistem lama ke sistem yang baru dengan membuat website, sebagai pendukung kegiatan perpustakaan. Dalam membuat sistem informasi perpustakaan sekolah berdasarkan situs web ini, metode pengembangan sistem adalah Waterfall. Pembuatan situs web, menggunakan bahasa skrip PHP dan HTML dan MySQL sebagai databasenya. Hasil dari penelitian ini akan menghasilkan perpustakaan online berbasis situs web, yang akan membantu pustakawan dalam melaksanakan tugasnya. Kata kunci: Perpusatakaan Kelurahan Online, Sistem Informasi Perpustakaan, Metode Waterfall Abstract - The development of science and information technology accompanied by changes in various aspects of life requires the creation of a society that likes to read. The library is one of the public organizations that has a strategic role to support the intellectual life of a nation. The Cisarua village library in Sukabumi city is a government-owned library that functions as a means for the surrounding community to find information and carry out activities related to learning, one of which is reading. The problem that occurs in the current system is the process of managing book data, borrowing, returning, and managing library member data to making reports that are still conventional and fairly ineffective which causes the process to be hampered and causes errors. In this report, the author updates the old system to a new system by creating a website, as a support for library activities. In creating a school library information system based on this website, the system development method is Waterfall. Website creation, using PHP and HTML scripting languages and MySQL as the database. The results of this study will produce a web-based online library, which will help librarians in carrying out their tasks. Keywords: Online Village Library, Library Information System, Waterfall Method
Analisis Perbandingan Metode SMART Dan MOORA Pada Pemilihan Karyawan Terbaik Klinik Kecantikan Yuris Alkhalifi; Muhammad Rifqi Firdaus; Dinar Ismunandar; Irwan Herliawan
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 4 (2024): Februari 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i4.1620

Abstract

An employee is a person who works for a particular company or institution. One of the activities that a company or agency often does to motivate its employees to show their best performance is to select the best employees. Making the best employee decisions with simple calculations is often found problematic due to the plethora of considerations of several factors, one of which is the factor that describes how important the assessment weight of one criterion with the business weight of another. The problem was found at Karawang's Nastyaderm Beauty Clinic. Then the solution needed to solve the problem is to use decision-making technology such as the Decision Support System. (SPK). The aim of this research is to find the best employees by using a comparison of two SPK methods namely SMART and MOORA to find out which are the best method rated, easy to apply and relevant. The number of employees that will be evaluated is as many as 5 people. The evaluation was given by the owner of the Beauty Clinic Nastyaderm Karawang, the mother of Dr. Lina Wijaya. The results of research and testing of 5 employees obtained the highest score on the SMART method on behalf of Tiara Anggraeni with a score of 0.725 or 72.5%. By obtaining results from both methods, it provides an overview of the results of the two methods and can help provide alternative solutions to the owner of a beauty clinic to determine the best employee of his working environment
PENERAPAN HYPERPARAMETER MACHINE LEARNING DALAM PREDIKSI GAGAL PINJAM Ismunandar, Dinar; Firdaus, Muhammad Rifqi; Alkhalifi, Yuris
INTI Nusa Mandiri Vol 19 No 1 (2024): INTI Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i1.5612

Abstract

Loans or credit are one of the key factors in advancing the economy. One of them is encouraging business expansion which will have a direct impact on a country's economic growth. Banks and other financing institutions must be able to evaluate the borrower's ability to pay their debts based on the inherent risks to reduce the possibility of default. To this end, machine learning (ML) has emerged as a revolutionary tool in using advanced prediction methods to examine historical data based on customer behavior. This research investigates the application of ML in predicting loan outcomes by optimizing parameters in the Machine Learning algorithm. The ML algorithms examined in this research are Logistic Regression (LR), K-Nearest Neighbor (KNN), Random Forest (RF), Decision Tree (DT), and XGBoost (XGB). Meanwhile, the technique used in hyperparameter tuning is Grid Search Cross Validation (CV). The results show that the algorithm's performance is more optimal than before, it can be seen that the LR algorithm experienced an increase in accuracy of 5%, KNN by 4%, RF by 3%, DT by 3%, and XGB by 2%. By including a default dataset based on customer behavior and optimized algorithm parameters, apart from being able to answer the alignment in previous literature in providing a deeper understanding of loan estimation, this research can also provide an understanding that hyperparameter techniques are worth trying to improve the performance of ML algorithms. So, it will be easier for financing institutions to determine the right loan scenario.
ANALISIS KUALITAS WEBSITE PORTAL MEDIA ONLINE MILENIANEWS.COM MENGGUNAKAN STANDAR ISO 9126 Firdaus, Muhammad Rifqi; Alkhalifi, Yuris; Ismunandar, Dinar; Kurniawan, Oky
INTI Nusa Mandiri Vol. 19 No. 2 (2025): INTI Periode Februari 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v19i2.6218

Abstract

Software quality can be assessed based on two main criteria, namely conformance to specifications and the ability to meet user needs. One of the international standards used to assess software quality is ISO 9126, which includes six main aspects: functionality, reliability, usability, efficiency, maintainability, and portability. In this journal, four aspects are taken to examine the quality of an online media portal website milenianews.com. The research methods include black-box testing for functionality, stress testing for reliability, Likert Scale-based questionnaire for usability, and GTMetrix for efficiency. The results showed that the functionality aspect scored 100%, indicating that all functions run according to specifications. The reliability aspect shows a 100% success rate on sessions, pages, and hits, indicating excellent performance under high usage conditions. Usability scored 79%, which falls into the good category, reflecting an interface that is easy to use and understand by users. The efficiency aspect obtained grade B with a performance score of 75% and structure 91%, indicating quite good performance, although there is room for improvement, especially in the load time of 2.5 seconds and total blocking time of 192 ms. Overall, the milenianews.com online media portal has met ISO 9126 quality standards and is declared suitable for use. These results show the importance of implementing international standards-based quality testing to ensure an optimal user experience.
Optimalisasi prediksi penyakit stroke pada data tidak seimbang menggunakan teknik SMOTE-Tomek Juningsih, Eka Herdit; Handayani, Kartika; Erni, Erni; Ismunandar, Dinar
Hexatech: Jurnal Ilmiah Teknik Vol. 4 No. 2 (2025): Hexatech: Jurnal Ilmiah Teknik
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/hexatech.v4i2.1571

Abstract

Stroke merupakan salah satu penyakit yang berdampak besar terhadap kesehatan masyarakat, karena dapat menyebabkan kematian maupun kecacatan permanen. Oleh karena itu, identifikasi dini terhadap risiko stroke menjadi sangat penting dalam upaya pencegahan. Penelitian ini dilakukan untuk membandingkan kinerja tiga algoritma klasifikasi, yaitu Naive Bayes, K-Nearest Neighbors (KNN), dan Decision Tree, dalam memprediksi kejadian stroke berdasarkan data rekam medis pasien. Dataset yang digunakan terdiri dari 5.110 entri dengan sejumlah fitur seperti usia, jenis kelamin, tekanan darah, kadar glukosa, dan status merokok. Teknik SMOTE-Tomek diterapkan untuk menyeimbangkan jumlah antara data pasien stroke dan non-stroke. Selanjutnya, model dievaluasi menggunakan pengujian validasi silang lima lipatan dan diukur menggunakan akurasi, precision, recall, serta f1-score. Hasil pengujian menunjukkan bahwa model Decision Tree memberikan performa terbaik dengan nilai f1-score yang paling tinggi yakni 91%, setelah penyeimbangan data dilakukan. Berdasarkan hasil pengujian, algoritma Decision Tree menunjukkan performa terbaik dengan nilai f1-score sebesar 91% setelah penyeimbangan data menggunakan SMOTE-Tomek. Hal ini membuktikan bahwa kombinasi teknik balancing SMOTE-Tomek dan pemilihan algoritma klasifikasi yang sesuai sangat efektif dalam meningkatkan akurasi prediksi resiko stroke pada data tidak seimbang.
Co-Authors Ahmad Fachrurozi Eka Herdit Juningsih Erni Erni Erni Erni Eva Marsusanti Fajar Sarasati Faruq Aziz Firdaus, Muhammad Rifqi Gata, Windu Irmawati Irmawati Irwan Herliawan Kartika Handayani Lisnawati Dewi, Lisnawati Muhammad Ifan Rifani Ihsan Muhammad Rifqi Firdaus Oky Kurniawan Rifa Nurafifah Syabaniah Santoso Setiawan Sukmawati Anggraeni Putri, Sukmawati Anggraeni Taufik Hidayatulloh Yanto Yanto Yanto Yanto Yanto Yanto Yuris Alkhalifi