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Mengukur Tingkat Pembiayaan Kredit Pada PT. Trihamas Finance Menggunakan Algoritma Apriori-Data Mining Agung Triayudi; Hervian .
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 4 (2017)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (620.401 KB) | DOI: 10.30656/protekinfo.v4i0.405

Abstract

Pengolahan data nasabah dan untuk menentukan tingkat pembiayaan kredit di PT Trihamas Finance Serang masih menggunakan Microsoft Office Excel. Sehingga sangat menyulitkan didalam pencarian data dan pengolahan data nasabah di wilayah Banten dengan jumlah nasabah kurang lebih 1300 nasabah. Masih belum adanya sistem aplikasi, Setiap akhir bulan laporan dalam format Excel tersebut harus diinformasikan kepada Branch Manager. Tujuan dari pembuatan aplikasi sistem data mining dengan metode Asosiasi ini adalah untuk mempermudah PT.Trihamas Finance Serang untuk menentukan tingkat pembiayaan kredit pada tunggakan nasabah di wilayah Banten sehingga pembuatan laporan keputusan wilayah dapat dilakukan dengan cepat.
WATERFALL MODELLING PADA SISTEM E-RESTORANT Agung Triayudi; Achmad Syaifudin Rodhi
ProTekInfo(Pengembangan Riset dan Observasi Teknik Informatika) Vol. 5 (2018)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (283.29 KB) | DOI: 10.30656/protekinfo.v5i0.836

Abstract

Aplikasi layanan pesan antar merupakan sistem informasi berbasis Android yang yang bertujuan untuk mempermudah dan mengoptimalkan layanan pesan antar makanan pada restoran Krebo Jantan. Aplikasi layanan pesan antar ini dirancang menggunakan model UML (Unified Modelling Language) dibangun menggunakan bahasa pemograman Java serta MySQL sebagai databasenya. Dalam pengembangan sistem menggunakan metode Waterfall, pengujian sistemnya menggunakan black box dan penilaian sistem menggunakan skala likert. Hasil penelitian menyimpulkan bahwa Aplikasi Layanan Pesan Antar Makanan Pada Restoran Krebo Jantan Berbasis Android ini, diharapkan dapat bermanfaat bagi Restoran Krebo Jantan dalam mengoptimalkan layanan pesan antar makanan dan untuk pelanggan dapat lebih mudah melakukan proses pemesanan serta dapat menghemat biaya.
EFEK BEHAVIOR-DRIVEN DEVELOPMENT, HEXAGONAL ARCHITECTURE DAN EVENT SOURCING TERHADAP PENGEMBANGAN PERANGKAT LUNAK BISNIS Muhamad Biyan Abdulah,; Agung Triayudi; Andrianingsih
Jurnal Mantik Penusa Vol. 4 No. 1 (2020): Management and Informatics
Publisher : Lembaga Penelitian dan Pengabdian (LPPM) STMIK Pelita Nusantara Medan

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Abstract

Software usage in business world are growing. But as time passes, many problems occurs as both software users and software features that wished to be developed increases, such as performance problems and maintainibility problems. Theres some techniques that has been developed to solve these kinds of problem (such as MVC framework, Test-Driven Development, Domain-Driven Design) but sometimes these techniques criticized as adding more problems instead. In this journal we will present our findings from our research which utilizes two techniques that is Behavior-Driven Development and Event Sourcing and observes its effects in our“Assignment Management System” we’ve developed.
Application To Classify The Population Census The Total Population By Level Of Education Using K-Means Clustering Algorithm: Application To Classify The Population Census The Total Population By Level Of Education Using K-Means Clustering Algorithm Dewi Janetta Az Zahra; Agung Triayudi; Ira Diana Sholihati
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The current population census is still Carried out by visiting each house. With a process like this, it will take a lot of time so that it will have an impact on the number of costs incurred by the government. For this reason, an online application is needed to Facilitate officers in conducting population censuses. Also, through this population census, the Researchers conducted a grouping of education levels intending to find out the population based on their level of education. The method used is the k-means clustering algorithm. There are three groupings items, namely C1 = population at a high level, C2 = population at a moderate level and C3 = population at a moderate level. The final centroid value used at C1 = (4.8000000,959.20000), C2 = (4.00000,854.000000) and C3 = (9.00000,668.00000). So that the results Obtained grouping C1 = RW2, RW7 and RW8,
Application Assessment Method Using Teacher Rating Scale And Profile Matching: Application Assessment Method Using Teacher Rating Scale And Profile Matching Ratih Mardianti; Agung Triayudi; Ira Diana Sholihati
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

In education in school, the teacher is an importent figure in determining the hight and low qualityof educatin outcomes, so teacher is required to cotinue to improve the performancein teaching, and ensure teacher performance the need for assessment, at ach school, teacher assesment is still i the form of manual of the principal as the party who assesses teacher performance, while not everytime the principal monitors how the teacher’s performance in teaching, it is necessary to add other more intensive assesors to meet with the teacher, namely students with several conditions that make students eligible to be correspondents, and a teacher assessment application to support students assessing their teacher more easily, making the application using the Rating Scale method for taking initial grade data and Profile Matching for calculating the average final grade. The results of the testing of this program is that 100% accuracy is tested from 6 teachers and 20 students
Analysis of Factors Affecting Student Graduation Using the K-Means clustering Method: Analysis of Factors Affecting Student Graduation Using the K-Means clustering Method indrawan indrawan; Agung Triayudi; Novi Dian Nathasia
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

This research was conducted because the system was not yet available to analyze the graduates of FTKI students. The purpose of this study was to obtain the results of the analysis of factors affecting the graduation of the National University FTKI students. This study uses the K-means method and uses GPA, income, place of birth, organizational activity, SKPI scores as parameters. Data collection techniques in the form of quantitative data collection. The subjects of this study were alumni of the FTKI National University. From the results of research conducted cluster 3 has the highest average IPK value of 3.57, of the total birth place clusters most are in Jabodetabek, all of the clusters show that organizational inactivity is the highest value, overall income clusters have the most value in class one, in cluster 3 the SKPI score has the highest average value of 3451.
Detection of Blood and Rhesus With Arduino Uno Mega 2560: Detection of Blood and Rhesus With Arduino Uno Mega 2560 Raka Alvianda; Agung Triayudi; Deny Hidayatulloh
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Detection of blood type is usually done manually by the process of testing red blood cells with the serum to see Whether clots will occur or not clot. The purpose of this study is to design a tool that will be used to detect blood types. In this study, the detection of groups was designed with electronics using ABO blood groups. This tool is designed using the Arduino Mega 2560 Module as a device, three light sensors, LED as a transmitter and a diode as a receiver. Clumping or non-clumping sensors from serum samples have been mixed. Furthermore, it will send a voltage to be conditioned by a comparator circuit and then sent to the Arduino for processing and the results will be displayed on the LCD, From testing 25 samples the percentage level can be calculated that is 100%.
Topsis Method for Selection of New Student Admissions at the Faculty of Communication and Information Technology at the National University of Jakarta: Topsis Method for Selection of New Student Admissions at the Faculty of Communication and Information Technology at the National University of Jakarta Yana Tania Haryanto; Agung Triayudi; Ira Diana Sholihati
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Selection of new admissions is the usual routine universities every year, this activity is done as a way to get students who have quality standards in accordance with the acceptance criteria determined by the university. However, at the National University in particular on FTKI, admission is actually doing is good enough but the results of the selection has not been implemented to the maximum, making it less optimal data processing activities such selection. Because the need for Decision Support System to be the result of the value of some of the criteria for the standardization of prospective students. In making the decision support system, TOPSIS method is used to determine students based on proper criteria by comparing the level of the quality of each prospective student using TOPSIS calculation will produce a ranking to help become FTKI UNAS selection consideration. The criteria used in this TOPSIS SPK, among others: CBT Computer, Mathematics and Language CBT, CBT Sciences, Interview, Department of the Home School, Home School Accreditation and Average - Average Value UN. The system in this research alternative filter 75 of the total 275 alternative data. The system accuracy up to 82% by making comparisons and calculations manually. CBT Computer, Mathematics and Language CBT, CBT Sciences, Interview, Department of the Home School, Home School Accreditation and Average - Average Value UN. The system in this research alternative filter 75 of the total 275 alternative data. The system accuracy up to 82% by making comparisons and calculations manually. CBT Computer, Mathematics and Language CBT, CBT Sciences, Interview, Department of the Home School, Home School Accreditation and Average - Average Value UN. The system in this research alternative filter 75 of the total 275 alternative data. The system accuracy up to 82% by making comparisons and calculations manually.
Comparison of Weighted Product Method and Simple Additive Weighting in Scholarship Recipient Selection: Comparison of Weighted Product Method and Simple Additive Weighting in Scholarship Recipient Selection Oktaviani Oktaviani; Agung Triayudi; Ira Diana Solihati
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

SMA Dharma Karya as educational institutions annually held the scholarships are given to students based on criteria set by the school. However, in selecting the scholarship still use manual feared scholarships target. So the decision support system built in selecting scholarship learners using weighted product. In this study, using the method of weighted product and simple additive weighting as a comparison. From the results of research on the best methods of weighted product that is on the alternative perengkingan 14 with a total value of 0.0067401308233662 and the best perengkingan SAW method is also on the alternative 14 with a total value of 0.82. The results of a comparison test on the data obtained 263 product value weighted accuracy of 83.03% and a simple additive weighting of 60.45%. Results have the system usability percentage of 85.6% and has been tested BlackBox Addressing that the system can perform properly selecting scholarship recipients.
Application Of Expert System To Diagnose Pests And Diseases In Coffee Plant Using Web-Based Naïve Bayes: Application Of Expert System To Diagnose Pests And Diseases In Coffee Plant Using Web-Based Naïve Bayes Rafi Syahputra; Agung Triayudi; Ira Diana Sholihati
Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (896.059 KB)

Abstract

Every year the demand for coffee in Indonesia is increasing, this is because coffee is a plantation that has long been cultivated and is one of the livelihoods of the people in Indonesia. Moreover, the high level of exports makes coffee plants very influential for the country's economy and foreign exchange. Besides the many needs, the spread of pests and diseases in coffee plants is one of the problems that must be addressed immediately. Based on the existing problems, the author finally designed an expert system created to diagnose coffee plant diseases using The Naïve Bayes method, which is one of the simple classification methods which in return can give a probability value for each disease that is raised. This system can help coffee planters to identify diseases in coffee plants. The test results in this study were able to produce an accuracy level of 92% so that this system can be used to diagnose pests and diseases in coffee plants.
Co-Authors ., Hervian AAN SETIAWAN Abdul Azis Abdul Aziz Hasibuan Abdulah, Muhamad Biyan Aceng Supriyadi Achmad Syaifudin Rodhi Achmad Syirod Ade Muhammad Nur Fauzi Adi Firman Ari Saputra Adi Yulianto Aditya lutfi Irawan Afid Rozaqi Afiyan Nur Chafidin Afrasim Yusta Afriany, Joli Agung Rahmad Fadjar Agus Iskandar Agus Iskandar Agus Iskandar Ahmad Arief Fadila Ahmad Avivanto Ahmad Rizki Firdaus Aji Juliana Akhmad Primulyana Albaar Rubhasy Albaar Rubhasy Aldi Andres Ardiansah Aldya Bagas Prahastyo Alfian Muhharam Ali Rahman Alisa Fitriyani Alisya Mutia Mantika Alvian Nur Efendi Ananda Sustantiara Andarweni, Dhea Andreas Gerhard Simorangkir Andrianingsih Andrianingsih Andriansyah Utomo Anggita Putri Maharani Anhar Hawari Anharudin Anharudin apiek maniek Ardinsah Ardinsah Ardiyanto Wantudi Arie Gunawan Ariel Cahyono Arika Zuraidah Aris Gunaryati Artamevia, Zahrach Arya Dimas Setiadi Arya Sastranegara Astri Pertiwi Atikah Suhaimah Baldhan Difa Ben Rahman Benrahman Bernardito Jordan Cahya, Nilam Candra Kurniawan Chafidin, Afiyan Nur Chuy Mandala Putra Cintya Damayanti Dandi Putra Daud Iswandii Della Diniyati Deny Hidayatullah Dewi Janetta Az Zahra Dhea Andarweni Dhieka Avrilia Lantana Dian Yunita Sihombing Dicke Rifki Fajrin Dimas Aryanto Wijaya Diniyati, Della Diranisha, Virly Djamaludin, Muhammad Ariel Dwi Auditira Dwi Ifan Ramadhan Dwi Juliastuti Dwika Assrani Dwina Pri Indini Dwiyatno, Saleh Dzahabi Yunas, Rio Al E, Endah Tri Efendi, Alvian Nur Eka Febriyanto Riski Eka Permana Putra Endah Tri Eshti Handayani Endah Tri Esti Handayani Endah Tri Esti Handayani Eri Mardiani Eri Mardiani Eri Mardiani Fachid, Syakirah Fadhil Muhammad Supriyanto Fadillah, Rizkah Faiq Husain Pratama Faizal Kurniawan Fajar Setiawan Hidayat Fajhar Muhammad Fajrin, Dicke Rifki Faran, Jhiro Fardila Inastiana Fatha Alsidqi Husaini Fathiya Zahra, Hawra Ferina Gunawan Fifto Nugroho Fikar Wahyu Tyas Tono Fikri Fajar Asshiddiqi Fikrianzi Nindyo Kusumo Fildzah Fildzah Firzatullah, Raden Muhamad Flipo Hariski Frankly Sept Genius Zendrato Gatot Soepriyono Genius Zendrato, Frankly Sept Ghulam Prasetyo Utomo Hadi Ansyah Hakam, Muhammad Aulia Haris Triono Sigit Hasibuan, Abdul Aziz Hervian . Heryanto, Yayan Hidayat, Fajar Setiawan Hilman, Hilman Fikri Wijaya Hoga Saragih Ibnu Nur Khawarizmi Ikbal Danu Setiawan Iksal Iksal Iksal Iksal Imam Rizqi Imanuel Sinuraya Inastiana, Fardila indrawan indrawan ingsih, Andrian Ira Diana Sholihati Ira Diana Sholihati Ira Diana Solihati Ira Diana Solihati Iskandar Fitri Ismi Naili Qurrotul Aini Ismia Iwandini Jhiro Faran Juliana, Aji Jumpa Dorisman Rajagukguk Junior, Reza Phahlevi Kabeleke Melanesia L Kartika Salma Nadhiva Karyaningsih, Dentik Kiai Agus Priyaharto Mulia I Kodim Suparman Kusumaningtyas, Grasiella Yustika Rezka Talita Latif Arif Anggoro lia kamelia Lili Dwi Yulianto Listrina Turnip Ma'arif, Ridwan Ahmad Made Yoga Mahardika Mardiani, Eri Mauludani Muhammad Melati Indah Petiwi Melisa Theresia Mesran, Mesran Moh Dani Ariawan Muhamad Biyan Abdulah, Muhammad Andhika Maulana Muhammad Ariel Djamaludin Muhammad Aulia Hakam Muhammad Fadli Muhammad Faisal Abdillah Muhammad Faizal Muhammad Farhan Adistyra Muhammad Ilyas Sahputra Muhammad Jordy Muhammad Prabowo Chaniago Muhammad Rafi Fadhilah Muhammad Rizki Wardhana Muhammad Rizki Zidan Muhammad Rizky Hamdan Mutiara Mala Khairunnisa Nabilah Ananda Pratiwi Nadia Putri Ariyanti Nanda Fathi Rizky Nesha Putri Pratama Nifea Kusumawardhani Nofrisa, Dini Novi Dian Nathasia Novi Dian Nathasia Nur Hayati Nur Hayati Nur Hayati Nur Iskandar Zulkarnaen Nurfatanah Nurfatanah Nurfazriah Attamami Nurhadiyan, Thoha Oktaviani oktaviani Oktaviani Oktaviani Oky Triadi Sampurno Panjaitan, Fricia Oktaviani Penny Hendriyati Putra Dama Ramadhan Raffi Dima Sampurno Rafi Syahputra Rahmat Aji Santoso Raihan Abdi Negoro Rais Rabtsani, Muhamad Raka Alvianda Rama Setiawan Ramadhan, Duta Pramudya Ratih Mardianti Ratih Titi Komala Sari Ratih Titi Komalasari Repi, Viktor Vekky Ronald Resha Anjariansyah Reynaldo, Yohanes Reza Phahlevi Junior Riad Sahara Rian Aditia Rian Rasyidhi Rian Tineges Rian, Rian Hidayat Ricky Andri Widayat Riefand Fadhlurrohman Rifki Nur Apriyono Rima Tamara Aldisa Rima Tamara Aldisa Rima Tamara Aldisa Rio Al Dzahabi Yunas Ripin, Muhamad Riska Setiawati Riska Susilawati Rivaldi Okta Pratama Rizal Bagus Pambudi Rizal Toha, Muhammad Rizki Kurnia Rizky Setiawan Rodhi, Achmad Syaifudin Rosaima Situmorang Rosalina, Vidila Rudi Adityawan Sahputra, Muhammad Ilyas Sampurno, Raffi Dima Saragih, Nova Sari Ningsih Sawindri, Sawindri sawindri Seanand Sonia Shabrilianti Setiawan, Ikbal Danu Setiawati, Riska Setiono, Aji Shafira Shalehanny Shintia Mutiarani Sholihati, Ira Diana Simanjuntak, Handayani Simanungkalit, Racquel Terranova Singgih Yulianto Bastian Siti Nurhalizah Soepriyono, Gatot Solihati, Ira Diana Suginam Sugitha, I Kadek Agga Suhaimah, Atikah Suherman Suherman Sultana Namira Sumiati Sumiati Sumiati Sumiati Sumiati Sumiati Sumiati, Sumiati Suparman, Kodim Susilawati . Susilawati, Riska Sussolaikah, Kelik Syabana, Ulwi Syafrida Hafni Sahir Syavira Cahyaningsih Syirod, Achmad Thoha Nurhadiyan Titih Aji Kurniawan Titik Abdul Rahman Tiyas Asih Qurnia Putri Tobby Wiratama Putra Tyas Tono, Fikar Wahyu Untoroseto, Dedi Utami, Yulianti Pratiwi Vendy Blessing Gulo Vidila Rosalina Vivimaryati Vivimaryati Vivimaryati, Vivimaryati Wahid Al Jufri Wahyu Oktri Widyarto Wardhana, Muhammad Rizki Wibowo, Adhitya Eka WINARSIH Winarsih Winarsih Winarsih Winarsih Winarsih Winda Antika Putri Wiratama Putra, Tobby Wulan Kartika Murti Wulan Widhari Wulandari, Faras Tira Yana Tania Haryanto Yandi Makmur Yani Sugiyani Yanto Murnihati Waruwu Yohanes Reynaldo Yulianti Pratiwi Utami Yunan Fauzi Wijaya Zahrach Artamevia Zuraidah, Arika