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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) JISA (Jurnal Informatika dan Sains) Teknik: Jurnal Ilmu Teknik dan Informatika DECODE: Jurnal Pendidikan Teknologi Informasi Jurnal IPTEK Bagi Masyarakat Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer (JURITEK) Jurnal Teknik Informatika dan Elektro (JURTIE) J-ENSITEC (Journal of Engineering and Sustainable Technology) Jurnal Pengabdian Bersama Masyarakat Indonesia
Fadli, Sofiansyah
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Implementation of MOORA Method in Evaluating Work Performance of Honorary Teachers Fadli, Sofiansyah; Imtihan, Khairul
Sinkron : jurnal dan penelitian teknik informatika Vol. 4 No. 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (502.182 KB) | DOI: 10.33395/sinkron.v4i1.10192

Abstract

Teachers posses an essential role in advancing schools and students. Therefore, the quality of teachers holds a significant aspect since their main tasks are to educate, teach, guide, direct, train, assess and evaluate students. That being said, having professional teachers and teaching staff is compulsory for schools in order to implement quality education processes. For this reason, schools always encourage improvement of teachers’ work performance and hence improve the quality of the management system of teaching staff by monitoring teachers’ work in implementing their tasks so that they can achieve the predetermined competency standards. Central Lombok Regency is one of the regencies in the Province of West Nusa Tenggara (NTB) with a total of 18 state high schools (SMAN) and a large number of honorary teachers. This study aims to develop a decision support system to facilitate the process of teacher performance evaluation using the MOORA method. Previously, the evaluation was performed manually based on direct observations by principals wherein they appointed potential teachers based on the evaluation criteria of honorary teacher performance. Such method is considered ineffective since it could cause internal conflicts among teachers and might cause some parties feel disadvantaged. To prevent this from happening, a system that can help in the process of evaluating teacher performance is necessary where the results can be used as references or recommendations for school principals. The first step taken is finding supporting data as mandated by The Minister of National Education Regulation No. 16 of 2007 on Academic Qualification Standards and Teacher Competency Standards. The criteria used in evaluating work performance of teachers are based on pedagogical, personality, social, and professional competence, with sub criteria. The data is then analyzed using (1) the Analytical Hierarchy Process (AHP) method to determine the weight of each competency, and (2) the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to determine the highest alternative value or the highest performance value of honorary teachers based on a predetermined weight by processing the ranking. The ranking method is expected to be used as a solution in determining the honorary teacher who has the best performance based on the weight multiplication ranking of each criterion. The implementation of the decision support system using the AHP and MOORA methods can facilitate the process of evaluating the performance of honorary teachers so that the results can be adopted as a reference for school principals in providing recommendations for outstanding teachers who deserve to be promoted.
Analisis Penggunaan Metode AHP dan MOORA untuk Menentukan Guru Berprestasi Sebagai Ajang Promosi Jabatan Sa'adati, Yuan; Fadli, Sofiansyah; Imtihan, Khairul
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (630.191 KB)

Abstract

Sistem pendukung keputusan digunakan sebagai acuan yang dapat membantu Kepala SMA N 1 Praya tengah dalam pemilihan guru berprestasi. Dalam pemilihan guru berprestasi, proses pemilihannya masih menggunakan sistem manual, yaitu berdasarkan pengamatan dari kepala sekolah langsung dengan cara menunjuk guru yang dinilai memiliki potensi berdasarkan kriteria-kriteria yang sudah ditentukan seperti memiliki prestasi khusus, memiliki sifat kepemimpinan, keaktifan dalam sekolah, absensi, mempunyai ektrakulikuler dan hubungan antar guru. Penerapan metode tersebut dirasa kurang efektif karena akan menimbulkan konflik internal sesama guru dan beberapa pihak akan merasa dirugikan. Pada penelitian ini, metode yang digunakan dalam pemilihan guru berprestasi yaitu Analitical Hierarchy Process (AHP) untuk pembobotan dan Multi-Objective Optimization on the basic of Ratio Analysis (MOORA) untuk perangkingan. Perancangan SPK pemilihan Guru berprestasi menggunakan model Prototype. Model prototype terdiri dari tahapan perencanaan, perancangan, pembuatan prototype aplikasi. SPK ini dibangun berbasis website yang dirancang menggunakan software Sublime Text (text editor), Database Managament System(DBMS) MySQL XAMPP dan bahasa pemrograman PHP. Hasil dari penelitian ini yaitu kombinasi antara metode AHP dengan MOORA dalam menentukan guru berprestasi dapat diterapkan. SPK dapat menampilkan informasi sesuai dengan apa yang diinputkan pengguna dengan tepat
APLIKASI PENILAIAN KINERJA DOSEN MENGGUNAKAN METODE ADDITIVE RATIO ASSESSMENT ( ARAS ): Indonesia khairunnisa, Baiq; Murniati, Wafiah; Hamdi, Saeful; Fadli, Sofiansyah
J-ENSITEC (Journal of Engineering and Sustainable Technology) Vol. 8 No. 02 (2022): June 2022
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v8i02.2059

Abstract

STMIK Lombok is one of the Private Universities that regularly conduct assessments of lecturers every semester. This is done in order to motivate lecturers in improving service to students. Although in its implementation, the performance assessment of this lecturer runs smoothly but has not reached optimal because it still uses Microsoft Excel in the calculation process so it takes a long time in the process of calculating values and reporting process. so it still needs improvements, especially in the assessment process using the application. This research aims to build an assessment information system and evaluate the performance of STMIK Lombok lecturers. The ARAS (Additive Ratio Assessment) method is one of the multicryteria decision-making methods based on the concept of combat using a utility degree, namely by comparing the overall index value of each alternatife to the optimal alternative overall index value. This decision support system can provide selected alternative decisions that can later be used as a reference to determine the best Lecturer Performance. The system development method used is Waterfall, PHP as a programming language and uses data flow diagram (DFD) system modeling. The testing process used in this application is the Black Box. The results of this built Application can speed up the process of calculating the performance assessment of lecturers and the reporting process more effectively and efficiently.
Forecasting Blood Demand Using the Support Vektor Regression Method (Case Study: Blood Transfusion Unit-PMI Central Lombok) Apriati, Yati; Murniati, Wafiah; Saikin, Saikin; Fadli, Sofiansyah; Fahmi, Hairul
JISA(Jurnal Informatika dan Sains) Vol 6, No 2 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i2.1780

Abstract

Blood is an important component produced by the human body. Blood is also a very vital part of human survival. When blood levels in the human body are less than they should be, the way to overcome this is by donating blood or blood transfusion. The health facilities that organize blood donations, provide blood and distribute blood are called Blood Transfusion Units (UTD). UTD in carrying out its duties encountered several obstacles, such as blood only having a shelf life of 35 days from donation. If it has passed the expiration date, it cannot be used anymore for blood transfusions. Meanwhile, regarding the demand for blood, the need for blood is greater than those donating. Making it difficult for UTD if the demand occurs when the existing blood stock is not sufficient. And if the stock in UTD experiences an axcess, it can cause losses because the blood is wasted due to expiration. Apart form that. The problem is that in everyday life, many people’s need for blood is reduced. Many of their families intervened directly to find available donors. They even search on social networks or social media such as WhatsApp, Facebook, Instagram and others. And this shows that many of them lack donors. To anticipate these problems. So it is necessary to carry out research on forecasting blood demand using the Support Vektor Regression method at UTD PMI Central Lombok. The aim of this research is to forecast or predict the demand for blood at UTD PMI Central Lombok in the coming period. To reduce the impact of lack or excess blood. SVR is the application of Support Vektor Machine (SVM) in the case of regression to find the best dividing line in the regression function. The advantage of the SVR model is that it can handle overfiting problems in the data. The tests used to measure the best model are Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE) and Coefficient of Determination (R2). The results of this research shows that the best model is Support Vektor Regression (SVR) with a polynomial kernel and based on the tuning results, the parameters used are C=10, degree=1, epsilon=1. The SVR model using a polynomial kernel produces a MAPE value of 18.7502% and RMSE value of 0.6919, which means the model has very good predictive ability. Prediction accuracy was achieved with an R2 value of 0.9936 or 99.36% and an MSE value of 0.4787, which means that the prediction of blood demand data at UTD PMI Central Lombok using SVR with a polynomial kernel function had very good prediction accuracy. With predicted result in january for blood type A it was 1654, B was 920, O was 2205 and AB was 1104
Expert System for Diagnosing Covid-19 Disease Using Method Forward Chaining Fadli, Sofiansyah; Ashari, Maulana; Septiani, Ria; Saikin, Saikin; Sudyana, Didik
JISA(Jurnal Informatika dan Sains) Vol 7, No 1 (2024): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v7i1.1786

Abstract

December 2019 was the beginning of cases that hit the Wuhan area, increasing cases of Covid-19 in China every day and increasing from January to February 2020. Initially reports came from the Hubei area and surrounding provinces, and the reports that came increased to the provinces around China, there were 86 other cases reported from various parts of the country, including Indonesia. Indonesia's first Covid-19 disease reportedly entered on March 2, 2020, there were two cases. The latest information is published on the official WHO website (World Health Organization) it was recorded that from January 3, 2020 to March 18, 2022 in Indonesia, there were 5,948,610 people who were recorded as positive for Covid-19 and 153,411 people were confirmed to have died. Diagnosing Covid-19 is the job of experts or specialists who have experience and knowledge in this field. An alternative that can help people who are not experts in diagnosing Covid-19 is an expert system. The forward chaining method was chosen because it is a forward tracking technique that is sorted according to the number of facts and ends with a conclusion. Forward Chaining is a method inference engine where this method compares facts and statements and will start from the left first (IF). Where, reasoning will start from the facts and then test the validation of the hypothesis (THEN). This research was conducted to make it easier for non-experts to diagnose Covid-19 with this expert system, and to be able to provide solutions after a successful diagnosis.
Perancangan Jaringan Fiber Optik Di Kantor Bahasa NTB Menggunakan Topology FTTH Dengan Teknologi GPON Sadri, Muhammad; Tantoni, Ahmad; Fadli, Sofiansyah
Jurnal Teknik Informatika dan Elektro Vol 5 No 2 (2023): Juli : Jurnal Teknik Elektro dan Informatika
Publisher : Universitas Gajah Putih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55542/jurtie.v5i2.717

Abstract

Every year, the Demand for the Demand for services like internet, telephone, and TV broadcasting continues to increase over time. Advances in thisItype of service are known as tripleIplay.IFTTHIis a fiber-optic-based communicationsInetwork infrastructure that enables the provision of triple play services directly to home users. This study aims to design device configurations and network architectures that utilize GPON technology in an FTTH distribution network that uses GPON technology in the language office of PT. Net Fiber. This study uses an experimental method to measure network feasibility standard parameters to design a network design in the Language office using FTTH topology with GPON technology. Furthermore, in this study, manual calculationsIwere carried outIto evaluate the feasibility of the network to be built based on predetermined standards. Based on the manual calculation of network eligibility standards, it was found that the farthest attenuation value in the Power Budget link reached 24.49 dB,Iwhile the highest value in the RiseITime Budget was 0.2762 ns. The resultsIof theseIcalculations are in accordance withIthe eligibilityIstandards set byIPT. FiberNet for distribution network.
PERANCANGAN APLIKASI PENGADUAN MASYARAKAT DESA BEBER BERBASIS ANDROID Putra, Lalu Herjayadi; Hamdi, Saeful; Zulkarnaen, Muhammad Fauzi; Fadli, Sofiansyah
Teknik: Jurnal Ilmu Teknik dan Informatika Vol 2 No 1 (2022): Mei : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v2i1.74

Abstract

Until now, the Beber Village Government, community complaints still have to go to the village office, Kadus houses or BPD. Complaints like that, of course, will take a little time and take a little longer. Data on public complaints is not stored as evaluation Material for evaluation and preparation of the RKPDes. Information submitted from the village government took a long time to reach the community. Although basically now there is a name WhatsApp, the public can also send WhatsApp messages by sending evidence of events and others. However, the complaint message will not be stored in its entirety, even a few days after the message arrives, it's easy to be crushed by other messages, making it difficult to find it again. In connection with the problems above, the researchers tried to design an application entitled Beber Village Community Complaints. In designing this application, the author uses the SDLC Waterfall model method, which is carried out step by step in accordance with the procedures in the Waterfall method. The admin application is built using the Codeigniter Framework version 3 with the PHP programming language. While the client/user uses Android which is built with the Flutter Framework which uses the Dart programming language. The resulting application is in the form of a Client Server. Adam uses the WEB Service view while the client/user uses the Android version. This application will exchange information between the community and the village and between the village and the community. This application aims to make it easier for both the community and the village in exchanging information, which then the information data can be stored intact in the database
Komparasi Metode WASPAS dan SAW Dalam Evaluasi Kinerja Guru Di Pondok Pesantren Darul Kamilin Pratiwi, Baiq Evi; Fadli, Sofiansyah; Murniati, Wafiah; Sudyana, Didik
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 2: JULI 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i2.447

Abstract

Penelitian ini membandingkan dua metode yaitu Weighted Aggregated Sum Product Assessment (WASPAS) dan Simple Additive Weighting (SAW) dalam mengevaluasi kinerja guru. Penelitian ini membahas  sistem pendukung keputusan untuk evaluasi kinerja guru di pondok pesantren darul kamilin, di mana guru memainkan peran penting dalam pendidikan siswa. Selain membahas tinjauan literatur yang relevan dengan metode yang digunakan, penelitian ini juga menentukan tingkat efektifitas kedua metode tersebut dalam evaluasi kinerja guru. Hasil penelitian ini memberikan pemahaman yang lebih menyeluruh terkait dengan pemilihan metode evaluasi paling efektif antara WASPAS dan SAW untuk kinerja guru. Evaluasi hasil dari kedua menunjukkan perbedaan pada bagian hasil untuk alternatif A5, A9, A11, A13, dan A14 antara kedua metode yang digunakan. Pada penelitian ini terdapat alternatif dengan nilai tertinggi berada pada alternatif A5(0.986) dan alternatif terendah berada pada alternatif A11(0.841).
SPK LOKASI PEMBANGUNAN PERUMAHAN DI KABUPATEN LOMBOK TENGAH DENGAN METODE AHP Aryandhana, Lalu Bintang; Fadli, Sofiansyah; Ashari, Maulana
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 2 No. 2 (2022): Juli: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v2i2.324

Abstract

Decision Support System (DSS) is a system that can help someone in making decisions and is also an approach to support decision making on a particular problem. One of the methods in the decision support system is the Analytical Hierarchy Process (AHP) method, which is a method for making scientific and rational decisions to provide solutions to multi-criteria and complex problems with various alternatives. In this research, the author tries to apply the AHP method to determine the location of new housing developments in Lombok Tengah District. The criteria used for consideration are land conditions, facilities, social and economic conditions, and land availability. The results of this study can prove that DSS with the AHP method is able to assist developers in determining the choice of new housing development locations in Lombok Tengah District.
TOPIC MODELING JUDUL PENELITIAN MENGGUNAKAN METODE LATENT DIRICHLET ALLOCATION (LDA) DAN FAKTORISASI MATRIKS NON-NEGATIF (NMF) Saikin, Saikin; Fadli, Sofiansyah; Akbar, Jihadul; Fahmi, Hairul
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.12998

Abstract

Penelitian merupakan salah satu aspek penting dalam Tri Dharma Perguruan Tinggi yang berkontribusi dalam pengembangan ilmu pengetahuan melalui eksplorasi dan pemecahan masalah. Salah satu tantangan dalam analisis penelitian dosen adalah mengelompokkan tema penelitian berdasarkan judul yang tersedia agar dapat mengidentifikasi tren topik yang sedang berkembang. Permasalahan utama dalam penelitian ini adalah bagaimana mengelompokkan judul penelitian dosen ke dalam topik yang lebih terstruktur secara otomatis. Oleh karena itu, penelitian ini bertujuan untuk menerapkan metode Latent Dirichlet Allocation (LDA) dan Non-Negative Matrix Factorization (NMF) dalam topic modeling guna mengidentifikasi tren penelitian berdasarkan judul penelitian dosen. Metode yang digunakan dalam penelitian ini melibatkan tahap pengumpulan data, pra-pemrosesan teks, pemodelan topik menggunakan LDA dan NMF, serta evaluasi hasil. LDA dan NMF dipilih karena kemampuannya dalam mengidentifikasi distribusi kata dalam suatu korpus dan mengelompokkan dokumen berdasarkan pola kemunculan kata. Hasil penelitian menunjukkan bahwa model LDA menghasilkan lima topik utama dengan distribusi kata tertinggi pada Topik 0 (10.389 kata), diikuti oleh Topik 1 (2.517 kata), Topik 2 (2.432 kata), Topik 3 (2.286 kata), dan Topik 4 (2.247 kata). Sementara itu, model NMF menghasilkan distribusi data tertinggi pada Topik 0 (9.980 data), diikuti oleh Topik 2 (3.765 data), Topik 3 (2.275 data), Topik 1 (2.202 data), dan Topik 4 (1.649 data). Dari hasil tersebut, terlihat bahwa metode LDA dan NMF memiliki perbedaan dalam pemetaan topik, namun keduanya dapat digunakan untuk analisis tren penelitian dosen.
Co-Authors Akbar, Jihadul Andikasari, Devi Apriati, Yati Aryandhana, Lalu Bintang Didik Sudyana Fahmi, Hairul Febrian, Melyana Khairul Imtihan khairunnisa, Baiq Lalu Mutawalli Maulana Ashari Mohammad Taufan Asri Zaen Muhammad Fauzi Zulkarnaen Pirmansyah Pirmansyah Pratiwi, Baiq Evi Putra, Lalu Herjayadi Sa'adati, Yuan Sadri, Muhammad Saeful Hamdi Saikin Septiani, Ria Tantoni, Ahmad Wafiah Murniati