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All Journal TEKNIK INFORMATIKA JURNAL SISTEM INFORMASI BISNIS Voteteknika (Vocational Teknik Elektronika dan Informatika) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Riau Journal of Computer Science JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Artificial Intelligence and Data Mining Rang Teknik Journal ILKOM Jurnal Ilmiah MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Journal of Information Technology and Computer Engineering Jambura Journal of Informatics ComTech: Computer, Mathematics and Engineering Applications Jusikom: Jurnal Sistem Informasi Ilmu Komputer bit-Tech Systematics Jurnal Sistem informasi dan informatika (SIMIKA) Jurnal Sistim Informasi dan Teknologi Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmiah Manajemen Kesatuan Dinasti International Journal of Digital Business Management JUKI : Jurnal Komputer dan Informatika Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Applied Data Sciences Jurnal Computer Science and Information Technology (CoSciTech) Journal of Applied Computer Science and Technology (JACOST) Journal of Computer Scine and Information Technology Bulletin of Computer Science Research Jurnal Penelitian Inovatif Jurnal Ipteks Terapan : research of applied science and education Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Komtekinfo Jurnal Sistim Informasi dan Teknologi Jurnal Administrasi Sosial dan Humaniora (JASIORA) Innovative: Journal Of Social Science Research e-Jurnal Apresiasi Ekonomi Jurnal Informatika Ekonomi Bisnis RJOCS (Riau Journal of Computer Science) SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) JR : Jurnal Responsive Teknik Informatika Jurnal Responsive Teknik Informatika
Sarjon Defit
Universitas Putra Indonesia YPTK Padang
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Data Mining dalam Akurasi Tingkat Kelayakan Pakai terhadap Peralatan Perangkat Keras Nurhidayat; Sarjon Defit; Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i3.67

Abstract

Hardware is a computer that can be seen and touched in person. Hardware is used to support student work and learning processes. The hardware should always be in good shape. If any damage should be done quickly. The benefits of this study provide a viable level of data against hardware tools. The purpose of this study determines that hardware that is worth using quickly and precisely so easily can be repaired and replaced. Hard-processed action consists of 12 projectors, 2 units of access point, 6 units of monitors, and 20 CPU units. To see the level of appropriateness regarding hard drives requires a rough set algorithm with that stage: information system; Decision system; Equivalency class; Discernibility matrix; Discernibility Matrix module D; Reduction; Generate Rules. The results of the 40 devices of study STMIK Indonesia Padang subtract college have 10 rules of policy on whether the hardware is still viable, repaired or replaced. So using a rough set algorithm is particularly appropriate to apply in a verifiable level of accuracy to fast and precise hardware. Keywords: Hardware, Decision System, Data Mining, Rules , Rough Set
Klasterisasi Data Rekam Medis Pasien Pengguna Layanan BPJS Kesehatan Menggunakan Metode K-Means Jeri Wandana; Sarjon Defit; Sumijan Sumijan
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i4.73

Abstract

Patient histories who use the services of Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan are stored in medical record data. Each medical record data contains important information that is very valuable and can be processed to explore new knowledge using a data mining approach. This study aims to help Prof. Dr. Tabrani hospital in classifying patient data who use BPJS Kesehatan, so that the pattern of disease spread is known based on class of service. The data used is patient medical record data in 2019 from October to December, the data will be processed using the K-Means Clustering algorithm with a total of 3 clusters. In cluster 0 (H0) there are 3 patients who are dominated by A09.9 disease (Diarrhea / Dysentery) in Class 2 and Class 3, for cluster 1 (H1) there are 5 patients with more diverse types of disease, while for cluster 2 (H2) there are 5 patients who are predominantly K30 disease (Dyspepsia) in Class 1.
Prediksi Bed Occupancy Ratio (BOR) Menggunakan Metode Monte Carlo Dendi Ferdinal; Sarjon Defit; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i1.80

Abstract

Planning for medical personnel, support staff and hospital facilities for the future is very important in order to carry out excellent and optimal services. Management must be able to predict the percentage of bed use based on a certain period of time or Bed Occupancy Ratio (BOR), in order to see the needs of medical personnel, supporting personnel and hospital facilities. To predict BOR in the future, a Monte Carlo simulation can be carried out using data on the day care for the Second Floor Baby care room in 2017, 2018 and 2019. The Second Floor Baby Room has a bed capacity of 12 units. The prediction rate for the treatment room using the Monte Carlo simulation is 93.09% for 2018 predictions and 89.78% for 2019. So this Monte Carlo simulation method simulation can be used in predicting BOR in hospitals. For the 2020 simulation, the BOR is 77.42% with a total treatment day of 3391.
Sistem Pakar Menggunakan Metode Forward Chaining pada Tingkat Kesembuhan Terapi Farmakologi dan Gaya Hidup Sehat Terhadap Pasien Hipertensi Arika Juwita Z; Sarjon Defit; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i1.82

Abstract

Hypertension is blood pressure above normal caused by strong blood flow to the walls of the arteries, resulting in certain complications that are at risk of triggering heart disease, stroke, kidney failure and even death. Many people do not know about the symptoms and types of hypertension, so a system is built to make it easier for the medical team and system users to find out the types of hypertension along with the cure rate with pharmacological and lifestyle therapies. The purpose of this study was to determine the cure rate of pharmacological therapy and a healthy lifestyle for hypertensive patients based on data collected from experts. The data that were processed were 25 symptoms, 2 therapy data, and 8 types of hypertension based on blood pressure classification. The symptoms and types of disease are entered into the expert system using the Forward Chaining method and rules. To see the accuracy of the cure rate for pharmacological therapy and a healthy lifestyle for hypertensive patients, a Forward Chaining method is needed, namely: Prepare data input, define decision tables, define rules, perform processes that create decision trees. The results of the study with 25 symptom data obtained as many as 8 decision rules, namely which type of hypertension the patient has and which cure should be done. Based on the analysis carried out, it can be seen that the cure rate of pharmacological therapy and a healthy lifestyle can be used as a reference for making decisions to analyze the healing of hypertensive patients with pharmacological therapy and a healthy lifestyle. This expert system calculation shows the percentage of success from the expert.
Prediksi Tingkat Kerugian Peternak Akibat Penyakit pada Sapi Menggunakan Algoritma K-Means Clustering Rian Kurniawan; Sarjon Defit; Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i1.87

Abstract

Data mining is very appropriate for processing data, producing added value from a pile of data in the form of knowledge that is not known manually. K Means Clustering The method of analyzing data and grouping them based on similarities, this method is very appropriate to predict the level of farmer losses due to disease in cattle. Predicting the level of farmer losses due to disease in cows by grouping them based on similarities and similarities of disease types, making it easier to draw conclusions. The data processed in this study were 9 data which were sourced from cow disease data in the UPTD Puskeswan Palangki from January to December 2019. Based on the analysis of these data by veterinarians on duty at UPTD Puskeswan Palangki, there are 9 types of diseases. Then the data is processed using the K means clustering method and proven using the WEKA application. The results of testing for this method are 3 diseases with a high loss rate and 6 diseases with a low loss rate. The data from the test results have been able to predict disease in cattle by grouping them into two parts, namely 3 diseases with a high loss rate and 6 diseases with a low loss rate.
Simple Additive Weighting dalam Penyaluran Dana Bantuan Sekolah Dasar Afifah Trista Ayunda; Sarjon Defit; Gunadi Widi Nurcahyo
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i2.96

Abstract

School grants are the distribution of education funds for elementary schools sourced from the Boss Performance (Bos Kinerja). Boss Performance or school operational assistance is allocated for schools that are considered to have good performance. The issues that often arise is the distribution of school aid funds that are not on target, this is due to the absence of a method for distributing these funds, which has affect on the performance of the school education unit. Decision support systems with Simple Additive Weighting (hereinafter reffered to as SAW) method are used to encourage the quality of education services for elementary schools which are considered to have good performance in educational units. Moreover, its facilitate in making and supporting decisions in the distribution of elementary school assistance funds. In the result of this study found the final result 100 percent accuracy therefore adoption of the Simple Additive Weighting method helps in making decisions that are right on target in distributing primary school grants.
Sistem Pendukung Keputusan Menggunakan Metode Analytical Hierarchy Process (AHP) dalam Penentuan Kualitas Kulit Sapi dalam Produksi Kebutuhan Rumah Tangga Daeng Saputra Perdana; Sarjon Defit; Sumijan
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i2.100

Abstract

Cowhide is the outermost part of beef that can be used in the product process, namely the finished skin in the production of household needs. The purpose of this study is to provide convenience in determining the quality of cowhide in household production needs. The data processed in this study were 6 alternatives. Cowhide quality data obtained at the UPDT Leather Processing Padang Panjang. There are several types of cowhide which have good, medium and poor quality levels. Furthermore, the data is processed manually using the Analytical Hierarchy Process method and continued by using the super software decisions as testing. The processing stage is to determine the weight of each criterion, provide an assessment (pair-wire comparation), summarize all the results of the assessment (overall composite weight). The results of the data processing are continued by calculating the level of accuracy. The result of the test on this method is that 98% of the cowhide has quality with vegetable cowhide based on the quality level of the given criteria. The testing decision making system has been able to identify the specific quality of cowhide. Through the Analytical Hierarchy Process method, the level of accuracy can be quite accurate and can help producers improve accuracy in identifying the quality of cowhide in household production needs.
Identifikasi Potensi Daerah Menggunakan Metode K-Means Clustering pada Pendaftaran Tanah Sistematis Lengkap Deno Yulfa Ardian; Sarjon Defit; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2020, Vol. 2, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v2i4.106

Abstract

The lack of public awareness in some regions in making land title certificates has resulted in the Program Pendaftaran Tanah Sistematis Lengkap (PTSL) being unable to run evenly. This study aims to identify areas that have the potential for making land certificates so that there is an equal distribution of the PTSL program. Based on PTSL data for 2017, 2018, and 2019 in the City of Bukittinggi, there are several urban villages that still have low potential in making certificates. The K-Means method can be used to group data from an area. The results of the testing of this method were 3 clusters of potential areas were obtained, so that the potential approach of land registration areas was obtained through the PTSL program to achieve the complete city target by the Bukittingi City Land Office.
Penentuan Pembelajaran untuk Meningkatkan Hafalan Al-Qur’an Menggunakan Metode MFEP Fauzan Azim; Sarjon Defit; Gunadi Widi Nurcahyo
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i2.109

Abstract

Memorizing the Al-Qur'an is not as easy as expected, but it needs effort and interest in improving the memorization of the Qur'an, because there are still many students from the Modern Diniyyah Islamic Boarding School who are still unable to focus on improving their memorization due to various reasons. , such as a busy schedule of activities, laziness, and other factors. To improve memorization of the Al-Qur'an, there are many methods that can be used, but there are still many students who do not understand the correct method in improving Al-Qur'an memorization. The data processing in this study is qualitative, because this study focuses on the process of identifying appropriate learning in improving the memorization of the Al-Qur'an for students in Islamic boarding schools. Sources of data in the study were obtained from primary data, data were obtained directly from data sources, namely the ustadz who was given the mandate as the person in charge of this program. In addition, the data source in this study is secondary, because the data obtained is in the form of data in the form of documents related to real implementation. Furthermore, the data is processed using the Multifactor Evaluation Process (MFEP) method. MFEP is a method that can be used in decision support systems that use a 'weighting system' and this research uses the VB.NET 2017 programming language and MySQL. The results of the calculation have an accuracy rate of 80%, so this research can be used as a recommendation to improve the memorization of the Qur'an.
Prediksi dan Klasifikasi Buku Menggunakan Metode Backpropagation R Rahmiyanti; Sarjon Defit; Yuhandri Yunus
Jurnal Informasi dan Teknologi 2021, Vol. 3, No. 3
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v3i3.116

Abstract

Students of SMP Negeri 2 Lengayang have different interests in determining the books they are interested in, so that the library often has difficulty determining the books that are most entered by students, this is because they have not used the right system in determining the type and number of books, only based on the estimated number. Students and subjects only, as a result school students stock books of the books they want to borrow. Based on the above, a method is needed to predict and classify the amount of book stock in the future. The data used is a recap of monthly book lending, from 2018 to 2020 in the third month, with a total of 1653 transactions and 5 types of books processed, then the data is analyzed using the Backpropogation method. The results obtained are using a 5-3-1 pattern with a learning rate of 0.01, a goal of 0.01, the number of input units for the Weapon layer 5, the number of units in the hidden layer and the number of output layer units that are placed on 1 layer, and to carry out training using two phases namely feedforward and backpropagation phases. It is removed from this research that the backpropagation method can provide a classification prediction of the number of books that must be provided in the following year based on the number of data entered or the number of data entered.
Co-Authors Abdul Azis Said Adawiyah, Quratih Adek Putri Adi Gunawan Adi Gunawan, Adi Adyanata Lubis, Adyanata Afriyadi, Iqbal Agus Perdana Windarto Agustin, Riris Ahmad Zaki Ahmad Zamsuri, Ahmad Akbar, Muhamad Rafi Akbar, Syifa Chairunnissa Deliva Am, Andri Nofiar Amran Sitohang Anam, M Khairul Andema, Henky Andin, Silfia Andri Nofiar Angga Putra Juledi Anthony Anggrawan Arda Yunianta ardialis Ariandi, Vicky Arif Budiman Arif Budiman Arika Juwita Z Asri Hidayad Ayunda, Afifah Trista Bastola, Ramesh Bosker Sinaga Breinda, Engla Bufra, Fanny Septiani Daeng Saputra Perdana Dahria, Muhammad Daniel Theodorus Dayla May Cytry Dendi Ferdinal Deno Yulfa Ardian Deti Karmanita Devita, Retno Dhena Marichy Putri Dila, Rahmah Dinda Permata Sukma Dwi Utari Iswavigra Dwiki Aulia Fakhri Efendi, Akmar Efendi, Muhamad Efrizoni, Lusiana Eka Praja Wiyata Mandala Elda, Yusma eriwandi Fadlul Hamdi Faisal Roza Fajrul Islami Fanny Septiani Bufra Fatimah, Noor Fauzan Azim Fauzana, Rahmi Fauzi Erwis Febri Aldi Febri Hadi Febrina, Yerri Kurnia Firdaus, Muhammad Bambang Fitriani, Yetti Fristi Riandari Fuad El Khair Gaja, Rizqi Nusabbih Hidayatullah Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo, Gunadi Guslendra, Guslendra Hadiyanto, Tegas Halifia Hendri Handika, Yola Tri Haris Kurniawan Hartati, Yuli Hasmaynelis Fitri Haviluddin Haviluddin Hazlita, H Hendrik, Billy Hendro Budiantoro Hengki Juliansa Henky Andema Hermanto Hidayad, Asri Hidayat, Rahmadani Honestya, Gabriela Huda, Ramzil Ikhbal Salam, Riyan Indah Savitri Hidayat Indhira, Sonia INTAN NUR FITRIYANI Ira Nia Sanita Irsyad, As'Ary Sahlul Irzal Arief Wisky Ismail Virgo Jefdy Kurniawan Jeri Wandana Juansen, Monsya Jufri, Fikri Ramadhan Juledi, Angga Putra Junadhi, Junadhi Kareem, Shahab Wahhab Khairul Azmi Kurniawan, Jefdy Kurniawan, Mhd Hary Leony Lidya Lidya, Leoni Lubis, Fitri Amelia Sari Lubis, Siti Sahara Lusiana Lusiana M Syahputra M. Ibnu Pati M. Syahputra Malik, Rio Andika Mardayatmi, Suci Mardison Mardison Mardison Marfalino, Hari Meilinda Sari Meilinda Sari Melissa Triandini Menhard, Menhard Mhd Hary Kurniawan Miftahul Hasanah Miftahul Hasanah, Miftahul Mike Zaimy Monsya Juansen MUHAMMAD TAJUDDIN Muhammad, L. J. Mulyanda, Sandy Nadya Alinda Rahmi Nandan Limakrisna Nanik Istianingsih Nori Sahrun, Nori Novi Yanti Nurcahyo, Gunadi Nurcahyo, Gunadi Widi Nurdin, Yogi K Nurhadi Nurhidayat Nursyahrina Okfalisa, - Okmarizal, Bisma Olivia, Ladyka Febby Pandu Pratama Putra, Pandu Pratama Parinduri, Rezti Deawinda Pati, Muhammad Ibnu Pebriyanti, Defi Pratiwi, Mutiana Pulungan, Akhiruddin Purnomo, Nopi Putra, Akmal Darman Putra, Rahman Arief Putra, Surya Dwi Putri, Adek Putri, Dhena Marichy Putri, Yozi Aulia Putut Wicaksono, Putut R Rahmiyanti Radillah, Teuku Rafika Sani Rafiska, Rian Rahmad Aditiya Rahmad Rahmad Rahman Arief Putra Rahmi, Nadya Alinda Ramadhan, Mukhlis Ramadhanu, Agung Ramdani Bayu Putra Rani, Larissa Navia Refina Afindania, Pipin Resnawita, R Rezki - Rezki Rusydi Rian Kurniawan Rianti, Eva Ritna Wahyuni Rizki Mubarak Roza Marmay Roza, Yesi Betriana Rusdianto Roestam Rustam, Camila S Sumijan Said, Abdul Azis Sandrawira Anggraini Sani, Rafikasani Saputra, Dhio Sari, Imrah Sari, Laynita Selfi Melisa Septiano, Renil Setiawan, Adil Sharon Shaza Alturky Siregar, Diffri Solihin Sitanggang, Sahat Sonang Slamet Riyadi Sofika Enggari Sovia, Rini Sri Dewi Sri Dewi Sri Rahmawati Suci Mardayatmi Suhefi Oktarian Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan, S Suri, Ghea Paulina Surmayanti Surya Dwi Putra Suryani, Vivi Susandri, Susandri Susriyanti, Susriyanti Syafri Arlis Syafrika Deni Rizki, Syafrika Deni Syaljumairi, Raemon Syofneri, Nandel Tamaza, Muhammad Abyanda Teri Ade Putra Tesa Vausia Sandiva Tukino, Tukino Veri, Jhon Veza, Okta Virgo, Ismail Vitriani, Vitriani Wahyu, Fungki Wanto, Anjar Wenni Afrodita Weri Sirait Y Yuhandri Yamin, Abdul Yamin Yemi, Leonardo Yerri Kurnia Febrina Yetti Fitriani Yogi K. Nurdin Yoni Aswan Yuda Irawan Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Yulasmi Yulasmi, Yulasmi Yuli Hartati Yulihartati, Sandra Yunus, Yuhandri Yusma Elda Zakir, Supratman Zia Rahimi, Hadisha Zulvitri, Z Zuqron, M. Iqbal Zurni Mardian